From 5ba68bdc1356b8dbc4a72ec6f4b56ff9699fff64 Mon Sep 17 00:00:00 2001
From: MasoodShamsaiee <84807338+MasoodShamsaiee@users.noreply.github.com>
Date: Mon, 10 Jun 2024 19:03:34 -0400
Subject: [PATCH] buildings selection- fully attached - 1/3 done

---
 Building_Selection_EDA.ipynb     | 1782 -----------
 Building_selection.ipynb         | 5043 ++++++++++++++++++++++++++++--
 Datasets/Building_Selection.xlsx |  Bin 30079 -> 33761 bytes
 3 files changed, 4735 insertions(+), 2090 deletions(-)
 delete mode 100644 Building_Selection_EDA.ipynb

diff --git a/Building_Selection_EDA.ipynb b/Building_Selection_EDA.ipynb
deleted file mode 100644
index f0bea0a..0000000
--- a/Building_Selection_EDA.ipynb
+++ /dev/null
@@ -1,1782 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import pandas as pd\n",
-    "import geopandas as gpd\n",
-    "from geopandas import GeoDataFrame\n",
-    "from shapely.geometry import Point\n",
-    "import sys\n",
-    "import utilities as ut\n",
-    "import os\n",
-    "from shapely import wkt\n",
-    "import numpy as np  \n",
-    "\n",
-    "import matplotlib.pyplot as plt\n",
-    "import seaborn as sns"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "pd.set_option('display.max_columns', None)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>OBJECTID</th>\n",
-       "      <th>ID_UEV</th>\n",
-       "      <th>CIVIQUE_DE</th>\n",
-       "      <th>CIVIQUE_FI</th>\n",
-       "      <th>NOM_RUE</th>\n",
-       "      <th>MUNICIPALI</th>\n",
-       "      <th>CODE_UTILI</th>\n",
-       "      <th>LIBELLE_UT</th>\n",
-       "      <th>CATEGORIE_</th>\n",
-       "      <th>Hieght_LiD</th>\n",
-       "      <th>...</th>\n",
-       "      <th>BuildingCategory</th>\n",
-       "      <th>BuildingVolume</th>\n",
-       "      <th>AspectRatio</th>\n",
-       "      <th>SurfacetoVolumeRatio</th>\n",
-       "      <th>FloorNu_RawTax</th>\n",
-       "      <th>FloorNu_RawTax.1</th>\n",
-       "      <th>Floor_frmHieght</th>\n",
-       "      <th>TotalFloorArea</th>\n",
-       "      <th>geometry</th>\n",
-       "      <th>ANNEE_CONS</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>8</td>\n",
-       "      <td>05146275</td>\n",
-       "      <td>2165</td>\n",
-       "      <td>2165</td>\n",
-       "      <td>avenue Desjardins  (MTL)</td>\n",
-       "      <td>50</td>\n",
-       "      <td>1000</td>\n",
-       "      <td>Logement</td>\n",
-       "      <td>Condominium</td>\n",
-       "      <td>14</td>\n",
-       "      <td>...</td>\n",
-       "      <td>fully-attached</td>\n",
-       "      <td>2702</td>\n",
-       "      <td>1.709</td>\n",
-       "      <td>0.071</td>\n",
-       "      <td>0</td>\n",
-       "      <td>3</td>\n",
-       "      <td>4</td>\n",
-       "      <td>772</td>\n",
-       "      <td>POLYGON ((-73.54323 45.55203, -73.54314 45.552...</td>\n",
-       "      <td>2006</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>37</td>\n",
-       "      <td>02094271</td>\n",
-       "      <td>8645</td>\n",
-       "      <td>8647</td>\n",
-       "      <td>rue Lafrenaie  (SLN)</td>\n",
-       "      <td>50</td>\n",
-       "      <td>4299</td>\n",
-       "      <td>Autres transports par véhicule automobile</td>\n",
-       "      <td>Régulier</td>\n",
-       "      <td>11</td>\n",
-       "      <td>...</td>\n",
-       "      <td>detached</td>\n",
-       "      <td>16126</td>\n",
-       "      <td>1.720</td>\n",
-       "      <td>0.091</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>3</td>\n",
-       "      <td>4398</td>\n",
-       "      <td>POLYGON ((-73.59017 45.60047, -73.59002 45.600...</td>\n",
-       "      <td>1973</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>64</td>\n",
-       "      <td>02000524</td>\n",
-       "      <td>11735</td>\n",
-       "      <td>11737</td>\n",
-       "      <td>4e Avenue  (RDP)</td>\n",
-       "      <td>50</td>\n",
-       "      <td>5010</td>\n",
-       "      <td>Immeuble commercial</td>\n",
-       "      <td>Régulier</td>\n",
-       "      <td>7</td>\n",
-       "      <td>...</td>\n",
-       "      <td>semi-attached</td>\n",
-       "      <td>5068</td>\n",
-       "      <td>1.152</td>\n",
-       "      <td>0.143</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1448</td>\n",
-       "      <td>POLYGON ((-73.60114 45.62189, -73.60089 45.622...</td>\n",
-       "      <td>1977</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>69</td>\n",
-       "      <td>02051203</td>\n",
-       "      <td>6001</td>\n",
-       "      <td>6005</td>\n",
-       "      <td>rue La Fontaine  (MTL)</td>\n",
-       "      <td>50</td>\n",
-       "      <td>1000</td>\n",
-       "      <td>Logement</td>\n",
-       "      <td>Régulier</td>\n",
-       "      <td>11</td>\n",
-       "      <td>...</td>\n",
-       "      <td>semi-attached</td>\n",
-       "      <td>2035</td>\n",
-       "      <td>2.876</td>\n",
-       "      <td>0.091</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>3</td>\n",
-       "      <td>555</td>\n",
-       "      <td>POLYGON ((-73.52567 45.56996, -73.52562 45.570...</td>\n",
-       "      <td>1950</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>77</td>\n",
-       "      <td>02004434</td>\n",
-       "      <td>12385</td>\n",
-       "      <td>12385</td>\n",
-       "      <td>avenue Élie-Beauregard  (MTL)</td>\n",
-       "      <td>50</td>\n",
-       "      <td>1000</td>\n",
-       "      <td>Logement</td>\n",
-       "      <td>Condominium</td>\n",
-       "      <td>15</td>\n",
-       "      <td>...</td>\n",
-       "      <td>detached</td>\n",
-       "      <td>6930</td>\n",
-       "      <td>2.289</td>\n",
-       "      <td>0.067</td>\n",
-       "      <td>0</td>\n",
-       "      <td>8</td>\n",
-       "      <td>4</td>\n",
-       "      <td>1848</td>\n",
-       "      <td>POLYGON ((-73.60005 45.63584, -73.59990 45.635...</td>\n",
-       "      <td>1985</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>5 rows × 26 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   OBJECTID    ID_UEV  CIVIQUE_DE  CIVIQUE_FI                        NOM_RUE  \\\n",
-       "0         8  05146275        2165        2165       avenue Desjardins  (MTL)   \n",
-       "1        37  02094271        8645        8647           rue Lafrenaie  (SLN)   \n",
-       "2        64  02000524       11735       11737               4e Avenue  (RDP)   \n",
-       "3        69  02051203        6001        6005         rue La Fontaine  (MTL)   \n",
-       "4        77  02004434       12385       12385  avenue Élie-Beauregard  (MTL)   \n",
-       "\n",
-       "   MUNICIPALI  CODE_UTILI                                 LIBELLE_UT  \\\n",
-       "0          50        1000                                   Logement   \n",
-       "1          50        4299  Autres transports par véhicule automobile   \n",
-       "2          50        5010                        Immeuble commercial   \n",
-       "3          50        1000                                   Logement   \n",
-       "4          50        1000                                   Logement   \n",
-       "\n",
-       "    CATEGORIE_  Hieght_LiD  ...  BuildingCategory  BuildingVolume  \\\n",
-       "0  Condominium          14  ...    fully-attached            2702   \n",
-       "1     Régulier          11  ...          detached           16126   \n",
-       "2     Régulier           7  ...     semi-attached            5068   \n",
-       "3     Régulier          11  ...     semi-attached            2035   \n",
-       "4  Condominium          15  ...          detached            6930   \n",
-       "\n",
-       "   AspectRatio  SurfacetoVolumeRatio  FloorNu_RawTax  FloorNu_RawTax.1  \\\n",
-       "0        1.709                 0.071               0                 3   \n",
-       "1        1.720                 0.091               0                 0   \n",
-       "2        1.152                 0.143               0                 0   \n",
-       "3        2.876                 0.091               0                 0   \n",
-       "4        2.289                 0.067               0                 8   \n",
-       "\n",
-       "  Floor_frmHieght  TotalFloorArea  \\\n",
-       "0               4             772   \n",
-       "1               3            4398   \n",
-       "2               2            1448   \n",
-       "3               3             555   \n",
-       "4               4            1848   \n",
-       "\n",
-       "                                            geometry  ANNEE_CONS  \n",
-       "0  POLYGON ((-73.54323 45.55203, -73.54314 45.552...        2006  \n",
-       "1  POLYGON ((-73.59017 45.60047, -73.59002 45.600...        1973  \n",
-       "2  POLYGON ((-73.60114 45.62189, -73.60089 45.622...        1977  \n",
-       "3  POLYGON ((-73.52567 45.56996, -73.52562 45.570...        1950  \n",
-       "4  POLYGON ((-73.60005 45.63584, -73.59990 45.635...        1985  \n",
-       "\n",
-       "[5 rows x 26 columns]"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "file_path = r\"Datasets\\LoD1.parquet\"\n",
-    "gdf = gpd.read_parquet(file_path)\n",
-    "gdf.head()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Select buildings\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "Montreal_data=gdf.copy()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>OBJECTID</th>\n",
-       "      <th>ID_UEV</th>\n",
-       "      <th>CIVIQUE_DE</th>\n",
-       "      <th>CIVIQUE_FI</th>\n",
-       "      <th>NOM_RUE</th>\n",
-       "      <th>MUNICIPALI</th>\n",
-       "      <th>CODE_UTILI</th>\n",
-       "      <th>LIBELLE_UT</th>\n",
-       "      <th>CATEGORIE_</th>\n",
-       "      <th>Hieght_LiD</th>\n",
-       "      <th>...</th>\n",
-       "      <th>BuildingCategory</th>\n",
-       "      <th>BuildingVolume</th>\n",
-       "      <th>AspectRatio</th>\n",
-       "      <th>SurfacetoVolumeRatio</th>\n",
-       "      <th>FloorNu_RawTax</th>\n",
-       "      <th>FloorNu_RawTax.1</th>\n",
-       "      <th>Floor_frmHieght</th>\n",
-       "      <th>TotalFloorArea</th>\n",
-       "      <th>geometry</th>\n",
-       "      <th>ANNEE_CONS</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>13</th>\n",
-       "      <td>221</td>\n",
-       "      <td>02091230</td>\n",
-       "      <td>4884</td>\n",
-       "      <td>4898</td>\n",
-       "      <td>rue Jarry Est  (ANJ+MTL+SLN)</td>\n",
-       "      <td>50</td>\n",
-       "      <td>6000</td>\n",
-       "      <td>Immeuble à bureaux</td>\n",
-       "      <td>Régulier</td>\n",
-       "      <td>8</td>\n",
-       "      <td>...</td>\n",
-       "      <td>detached</td>\n",
-       "      <td>3080</td>\n",
-       "      <td>1.726</td>\n",
-       "      <td>0.125</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>770</td>\n",
-       "      <td>POLYGON ((-73.59546 45.57914, -73.59535 45.579...</td>\n",
-       "      <td>1988</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>48</th>\n",
-       "      <td>1474</td>\n",
-       "      <td>02034223</td>\n",
-       "      <td>7950</td>\n",
-       "      <td>7960</td>\n",
-       "      <td>boulevard Métropolitain Est  (ANJ+MTE+MTL+SLN)</td>\n",
-       "      <td>50</td>\n",
-       "      <td>6000</td>\n",
-       "      <td>Immeuble à bureaux</td>\n",
-       "      <td>Régulier</td>\n",
-       "      <td>12</td>\n",
-       "      <td>...</td>\n",
-       "      <td>detached</td>\n",
-       "      <td>3000</td>\n",
-       "      <td>1.402</td>\n",
-       "      <td>0.083</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>3</td>\n",
-       "      <td>750</td>\n",
-       "      <td>POLYGON ((-73.56293 45.60773, -73.56307 45.607...</td>\n",
-       "      <td>1990</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>107</th>\n",
-       "      <td>3276</td>\n",
-       "      <td>02036049</td>\n",
-       "      <td>7801</td>\n",
-       "      <td>7811</td>\n",
-       "      <td>boulevard Louis-H.-La Fontaine  (ANJ+MTL)</td>\n",
-       "      <td>50</td>\n",
-       "      <td>6000</td>\n",
-       "      <td>Immeuble à bureaux</td>\n",
-       "      <td>Régulier</td>\n",
-       "      <td>9</td>\n",
-       "      <td>...</td>\n",
-       "      <td>detached</td>\n",
-       "      <td>7794</td>\n",
-       "      <td>1.509</td>\n",
-       "      <td>0.111</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>3</td>\n",
-       "      <td>2598</td>\n",
-       "      <td>POLYGON ((-73.56133 45.60350, -73.56166 45.603...</td>\n",
-       "      <td>1977</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>138</th>\n",
-       "      <td>5533</td>\n",
-       "      <td>02039099</td>\n",
-       "      <td>9393</td>\n",
-       "      <td>9401</td>\n",
-       "      <td>rue Edison  (ANJ)</td>\n",
-       "      <td>50</td>\n",
-       "      <td>6000</td>\n",
-       "      <td>Immeuble à bureaux</td>\n",
-       "      <td>Régulier</td>\n",
-       "      <td>19</td>\n",
-       "      <td>...</td>\n",
-       "      <td>detached</td>\n",
-       "      <td>25859</td>\n",
-       "      <td>2.504</td>\n",
-       "      <td>0.053</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>5</td>\n",
-       "      <td>6805</td>\n",
-       "      <td>POLYGON ((-73.57067 45.61377, -73.57063 45.613...</td>\n",
-       "      <td>1976</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>148</th>\n",
-       "      <td>6459</td>\n",
-       "      <td>02037517</td>\n",
-       "      <td>7067</td>\n",
-       "      <td>7085</td>\n",
-       "      <td>rue Beaubien Est  (ANJ+MTL)</td>\n",
-       "      <td>50</td>\n",
-       "      <td>6000</td>\n",
-       "      <td>Immeuble à bureaux</td>\n",
-       "      <td>Régulier</td>\n",
-       "      <td>14</td>\n",
-       "      <td>...</td>\n",
-       "      <td>detached</td>\n",
-       "      <td>23226</td>\n",
-       "      <td>3.560</td>\n",
-       "      <td>0.071</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>4</td>\n",
-       "      <td>6636</td>\n",
-       "      <td>POLYGON ((-73.55750 45.59405, -73.55750 45.594...</td>\n",
-       "      <td>1975</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>485862</th>\n",
-       "      <td>160824</td>\n",
-       "      <td>01091271</td>\n",
-       "      <td>501</td>\n",
-       "      <td>507</td>\n",
-       "      <td>place d' Armes  (MTL)</td>\n",
-       "      <td>50</td>\n",
-       "      <td>6000</td>\n",
-       "      <td>Immeuble à bureaux</td>\n",
-       "      <td>Régulier</td>\n",
-       "      <td>96</td>\n",
-       "      <td>...</td>\n",
-       "      <td>fully-attached</td>\n",
-       "      <td>4992</td>\n",
-       "      <td>8.713</td>\n",
-       "      <td>0.010</td>\n",
-       "      <td>24</td>\n",
-       "      <td>24</td>\n",
-       "      <td>24</td>\n",
-       "      <td>1248</td>\n",
-       "      <td>POLYGON ((-73.55648 45.50530, -73.55639 45.505...</td>\n",
-       "      <td>1933</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>485864</th>\n",
-       "      <td>160825</td>\n",
-       "      <td>01091271</td>\n",
-       "      <td>501</td>\n",
-       "      <td>507</td>\n",
-       "      <td>place d' Armes  (MTL)</td>\n",
-       "      <td>50</td>\n",
-       "      <td>6000</td>\n",
-       "      <td>Immeuble à bureaux</td>\n",
-       "      <td>Régulier</td>\n",
-       "      <td>96</td>\n",
-       "      <td>...</td>\n",
-       "      <td>fully-attached</td>\n",
-       "      <td>110304</td>\n",
-       "      <td>2.035</td>\n",
-       "      <td>0.010</td>\n",
-       "      <td>24</td>\n",
-       "      <td>24</td>\n",
-       "      <td>24</td>\n",
-       "      <td>27576</td>\n",
-       "      <td>POLYGON ((-73.55648 45.50530, -73.55639 45.505...</td>\n",
-       "      <td>1933</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>486443</th>\n",
-       "      <td>138996</td>\n",
-       "      <td>05076687</td>\n",
-       "      <td>1350</td>\n",
-       "      <td>1350</td>\n",
-       "      <td>boulevard René-Lévesque Ouest  (MTL)</td>\n",
-       "      <td>50</td>\n",
-       "      <td>6000</td>\n",
-       "      <td>Immeuble à bureaux</td>\n",
-       "      <td>Régulier</td>\n",
-       "      <td>131</td>\n",
-       "      <td>...</td>\n",
-       "      <td>fully-attached</td>\n",
-       "      <td>317675</td>\n",
-       "      <td>1.279</td>\n",
-       "      <td>0.008</td>\n",
-       "      <td>25</td>\n",
-       "      <td>25</td>\n",
-       "      <td>33</td>\n",
-       "      <td>80025</td>\n",
-       "      <td>POLYGON ((-73.57182 45.49587, -73.57175 45.495...</td>\n",
-       "      <td>2003</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>486445</th>\n",
-       "      <td>157365</td>\n",
-       "      <td>01037755</td>\n",
-       "      <td>2020</td>\n",
-       "      <td>2020</td>\n",
-       "      <td>boulevard Robert-Bourassa  (MTL)</td>\n",
-       "      <td>50</td>\n",
-       "      <td>6000</td>\n",
-       "      <td>Immeuble à bureaux</td>\n",
-       "      <td>Régulier</td>\n",
-       "      <td>110</td>\n",
-       "      <td>...</td>\n",
-       "      <td>detached</td>\n",
-       "      <td>175780</td>\n",
-       "      <td>1.121</td>\n",
-       "      <td>0.009</td>\n",
-       "      <td>25</td>\n",
-       "      <td>25</td>\n",
-       "      <td>28</td>\n",
-       "      <td>44744</td>\n",
-       "      <td>POLYGON ((-73.57199 45.50415, -73.57217 45.504...</td>\n",
-       "      <td>1973</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>486450</th>\n",
-       "      <td>173612</td>\n",
-       "      <td>01000474</td>\n",
-       "      <td>300</td>\n",
-       "      <td>300</td>\n",
-       "      <td>rue Léo-Pariseau  (MTL)</td>\n",
-       "      <td>50</td>\n",
-       "      <td>6000</td>\n",
-       "      <td>Immeuble à bureaux</td>\n",
-       "      <td>Régulier</td>\n",
-       "      <td>96</td>\n",
-       "      <td>...</td>\n",
-       "      <td>detached</td>\n",
-       "      <td>136992</td>\n",
-       "      <td>1.033</td>\n",
-       "      <td>0.010</td>\n",
-       "      <td>26</td>\n",
-       "      <td>26</td>\n",
-       "      <td>24</td>\n",
-       "      <td>34248</td>\n",
-       "      <td>POLYGON ((-73.57635 45.51126, -73.57632 45.511...</td>\n",
-       "      <td>1977</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>1075 rows × 26 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "        OBJECTID    ID_UEV  CIVIQUE_DE  CIVIQUE_FI  \\\n",
-       "13           221  02091230        4884        4898   \n",
-       "48          1474  02034223        7950        7960   \n",
-       "107         3276  02036049        7801        7811   \n",
-       "138         5533  02039099        9393        9401   \n",
-       "148         6459  02037517        7067        7085   \n",
-       "...          ...       ...         ...         ...   \n",
-       "485862    160824  01091271         501         507   \n",
-       "485864    160825  01091271         501         507   \n",
-       "486443    138996  05076687        1350        1350   \n",
-       "486445    157365  01037755        2020        2020   \n",
-       "486450    173612  01000474         300         300   \n",
-       "\n",
-       "                                               NOM_RUE  MUNICIPALI  \\\n",
-       "13                        rue Jarry Est  (ANJ+MTL+SLN)          50   \n",
-       "48      boulevard Métropolitain Est  (ANJ+MTE+MTL+SLN)          50   \n",
-       "107          boulevard Louis-H.-La Fontaine  (ANJ+MTL)          50   \n",
-       "138                                  rue Edison  (ANJ)          50   \n",
-       "148                        rue Beaubien Est  (ANJ+MTL)          50   \n",
-       "...                                                ...         ...   \n",
-       "485862                           place d' Armes  (MTL)          50   \n",
-       "485864                           place d' Armes  (MTL)          50   \n",
-       "486443            boulevard René-Lévesque Ouest  (MTL)          50   \n",
-       "486445                boulevard Robert-Bourassa  (MTL)          50   \n",
-       "486450                         rue Léo-Pariseau  (MTL)          50   \n",
-       "\n",
-       "        CODE_UTILI          LIBELLE_UT CATEGORIE_  Hieght_LiD  ...  \\\n",
-       "13            6000  Immeuble à bureaux   Régulier           8  ...   \n",
-       "48            6000  Immeuble à bureaux   Régulier          12  ...   \n",
-       "107           6000  Immeuble à bureaux   Régulier           9  ...   \n",
-       "138           6000  Immeuble à bureaux   Régulier          19  ...   \n",
-       "148           6000  Immeuble à bureaux   Régulier          14  ...   \n",
-       "...            ...                 ...        ...         ...  ...   \n",
-       "485862        6000  Immeuble à bureaux   Régulier          96  ...   \n",
-       "485864        6000  Immeuble à bureaux   Régulier          96  ...   \n",
-       "486443        6000  Immeuble à bureaux   Régulier         131  ...   \n",
-       "486445        6000  Immeuble à bureaux   Régulier         110  ...   \n",
-       "486450        6000  Immeuble à bureaux   Régulier          96  ...   \n",
-       "\n",
-       "        BuildingCategory  BuildingVolume  AspectRatio  SurfacetoVolumeRatio  \\\n",
-       "13              detached            3080        1.726                 0.125   \n",
-       "48              detached            3000        1.402                 0.083   \n",
-       "107             detached            7794        1.509                 0.111   \n",
-       "138             detached           25859        2.504                 0.053   \n",
-       "148             detached           23226        3.560                 0.071   \n",
-       "...                  ...             ...          ...                   ...   \n",
-       "485862    fully-attached            4992        8.713                 0.010   \n",
-       "485864    fully-attached          110304        2.035                 0.010   \n",
-       "486443    fully-attached          317675        1.279                 0.008   \n",
-       "486445          detached          175780        1.121                 0.009   \n",
-       "486450          detached          136992        1.033                 0.010   \n",
-       "\n",
-       "        FloorNu_RawTax  FloorNu_RawTax.1 Floor_frmHieght  TotalFloorArea  \\\n",
-       "13                   0                 0               2             770   \n",
-       "48                   0                 0               3             750   \n",
-       "107                  0                 0               3            2598   \n",
-       "138                  0                 0               5            6805   \n",
-       "148                  0                 0               4            6636   \n",
-       "...                ...               ...             ...             ...   \n",
-       "485862              24                24              24            1248   \n",
-       "485864              24                24              24           27576   \n",
-       "486443              25                25              33           80025   \n",
-       "486445              25                25              28           44744   \n",
-       "486450              26                26              24           34248   \n",
-       "\n",
-       "                                                 geometry  ANNEE_CONS  \n",
-       "13      POLYGON ((-73.59546 45.57914, -73.59535 45.579...        1988  \n",
-       "48      POLYGON ((-73.56293 45.60773, -73.56307 45.607...        1990  \n",
-       "107     POLYGON ((-73.56133 45.60350, -73.56166 45.603...        1977  \n",
-       "138     POLYGON ((-73.57067 45.61377, -73.57063 45.613...        1976  \n",
-       "148     POLYGON ((-73.55750 45.59405, -73.55750 45.594...        1975  \n",
-       "...                                                   ...         ...  \n",
-       "485862  POLYGON ((-73.55648 45.50530, -73.55639 45.505...        1933  \n",
-       "485864  POLYGON ((-73.55648 45.50530, -73.55639 45.505...        1933  \n",
-       "486443  POLYGON ((-73.57182 45.49587, -73.57175 45.495...        2003  \n",
-       "486445  POLYGON ((-73.57199 45.50415, -73.57217 45.504...        1973  \n",
-       "486450  POLYGON ((-73.57635 45.51126, -73.57632 45.511...        1977  \n",
-       "\n",
-       "[1075 rows x 26 columns]"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "office_buildings=Montreal_data[Montreal_data['LIBELLE_UT'].isin([\"Immeuble à bureaux\",\"Maison de courtiers et de négociants de marchandises\",\"Service d'architecture\"\n",
-    "                                                                 ,'Service de génie', \"Service de notaires\",\"Service de comptabilité, de vérification et de tenue de livre\"\n",
-    "                                                                 \"Service d'orthopédie\"])]\n",
-    "#drop duplicates of ID_UEV and AREA_NEW\n",
-    "office_buildings=office_buildings.drop_duplicates(subset=['ID_UEV','AREA_NEW'])\n",
-    "office_buildings"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'Year Anomalies': 114, 'Area Anomalies': 0, 'Missing Values': 0}"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# convert to number \n",
-    "office_buildings['ANNEE_CONS'] = pd.to_numeric(office_buildings['ANNEE_CONS'], errors='coerce')\n",
-    "\n",
-    "\n",
-    "# 2. Check for anomalies in the area (e.g., zero or negative areas, extremely large areas)\n",
-    "current_year = 2024\n",
-    "year_anomalies = office_buildings[(office_buildings['ANNEE_CONS'] > current_year) | (office_buildings['ANNEE_CONS'] < 1800)]\n",
-    "\n",
-    "# 2. Check for anomalies in the area (e.g., zero or negative areas, extremely large areas)   | (office_buildings['AREA_NEW'] > office_buildings['AREA_NEW'].quantile(0.9999))\n",
-    "area_anomalies = office_buildings[(office_buildings['AREA_NEW'] <= 0) ]\n",
-    "\n",
-    "# 3. Check for missing values in the relevant columns\n",
-    "missing_values = office_buildings[office_buildings.isnull().any(axis=1)]\n",
-    "\n",
-    " \n",
-    "# Combine all anomalies into one dataframe for easy review\n",
-    "\n",
-    "anomalies = pd.concat([year_anomalies, area_anomalies, missing_values]).drop_duplicates()\n",
-    "\n",
-    "# import ace_tools as tools; tools.display_dataframe_to_user(name=\"Identified Data Anomalies\", dataframe=anomalies)\n",
-    "\n",
-    "anomalies_info = {\n",
-    "    \"Year Anomalies\": year_anomalies.shape[0],\n",
-    "    \"Area Anomalies\": area_anomalies.shape[0],\n",
-    "    \"Missing Values\": missing_values.shape[0],\n",
-    "}\n",
-    "\n",
-    "anomalies_info"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>OBJECTID</th>\n",
-       "      <th>ID_UEV</th>\n",
-       "      <th>CIVIQUE_DE</th>\n",
-       "      <th>CIVIQUE_FI</th>\n",
-       "      <th>NOM_RUE</th>\n",
-       "      <th>MUNICIPALI</th>\n",
-       "      <th>CODE_UTILI</th>\n",
-       "      <th>LIBELLE_UT</th>\n",
-       "      <th>CATEGORIE_</th>\n",
-       "      <th>Hieght_LiD</th>\n",
-       "      <th>AREA_NEW</th>\n",
-       "      <th>MBG_Width</th>\n",
-       "      <th>MBG_Length</th>\n",
-       "      <th>MBG_Orientation</th>\n",
-       "      <th>Shape_Length</th>\n",
-       "      <th>Shape_Area</th>\n",
-       "      <th>BuildingCategory</th>\n",
-       "      <th>BuildingVolume</th>\n",
-       "      <th>FloorNu_RawTax</th>\n",
-       "      <th>FloorNu_RawTax.1</th>\n",
-       "      <th>Floor_frmHieght</th>\n",
-       "      <th>TotalFloorArea</th>\n",
-       "      <th>geometry</th>\n",
-       "      <th>ANNEE_CONS</th>\n",
-       "      <th>New_AspectRatio</th>\n",
-       "      <th>New_SurfacetoVolumeRatio</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>41222</th>\n",
-       "      <td>153829</td>\n",
-       "      <td>05016356</td>\n",
-       "      <td>100</td>\n",
-       "      <td>190</td>\n",
-       "      <td>rue Sainte-Catherine Ouest  (MTL+WMT)</td>\n",
-       "      <td>50</td>\n",
-       "      <td>6000</td>\n",
-       "      <td>Immeuble à bureaux</td>\n",
-       "      <td>Condominium</td>\n",
-       "      <td>151</td>\n",
-       "      <td>28902</td>\n",
-       "      <td>176</td>\n",
-       "      <td>177</td>\n",
-       "      <td>122</td>\n",
-       "      <td>706</td>\n",
-       "      <td>31188</td>\n",
-       "      <td>detached</td>\n",
-       "      <td>4364202</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>38</td>\n",
-       "      <td>1098276</td>\n",
-       "      <td>POLYGON ((-73.56473 45.50851, -73.56473 45.508...</td>\n",
-       "      <td>1977</td>\n",
-       "      <td>1.434031</td>\n",
-       "      <td>0.006623</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>17013</th>\n",
-       "      <td>36076</td>\n",
-       "      <td>05030608</td>\n",
-       "      <td>4477</td>\n",
-       "      <td>5605</td>\n",
-       "      <td>boulevard Pie-IX  (MTL+MTN+SLN)</td>\n",
-       "      <td>50</td>\n",
-       "      <td>6000</td>\n",
-       "      <td>Immeuble à bureaux</td>\n",
-       "      <td>Régulier</td>\n",
-       "      <td>20</td>\n",
-       "      <td>17441</td>\n",
-       "      <td>214</td>\n",
-       "      <td>216</td>\n",
-       "      <td>96</td>\n",
-       "      <td>859</td>\n",
-       "      <td>46144</td>\n",
-       "      <td>detached</td>\n",
-       "      <td>348820</td>\n",
-       "      <td>0</td>\n",
-       "      <td>3</td>\n",
-       "      <td>5</td>\n",
-       "      <td>87205</td>\n",
-       "      <td>POLYGON ((-73.56772 45.55916, -73.56775 45.559...</td>\n",
-       "      <td>1930</td>\n",
-       "      <td>1.954238</td>\n",
-       "      <td>0.050000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>45168</th>\n",
-       "      <td>178192</td>\n",
-       "      <td>01039420</td>\n",
-       "      <td>895</td>\n",
-       "      <td>945</td>\n",
-       "      <td>rue De La Gauchetière Ouest  (MTL)</td>\n",
-       "      <td>50</td>\n",
-       "      <td>6000</td>\n",
-       "      <td>Immeuble à bureaux</td>\n",
-       "      <td>Régulier</td>\n",
-       "      <td>124</td>\n",
-       "      <td>16131</td>\n",
-       "      <td>93</td>\n",
-       "      <td>201</td>\n",
-       "      <td>34</td>\n",
-       "      <td>587</td>\n",
-       "      <td>18655</td>\n",
-       "      <td>semi-attached</td>\n",
-       "      <td>2000244</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>31</td>\n",
-       "      <td>500061</td>\n",
-       "      <td>POLYGON ((-73.56677 45.49916, -73.56677 45.499...</td>\n",
-       "      <td>1960</td>\n",
-       "      <td>1.220460</td>\n",
-       "      <td>0.008065</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>33681</th>\n",
-       "      <td>133541</td>\n",
-       "      <td>01039347</td>\n",
-       "      <td>690</td>\n",
-       "      <td>700</td>\n",
-       "      <td>boulevard René-Lévesque Ouest  (MTL)</td>\n",
-       "      <td>50</td>\n",
-       "      <td>6000</td>\n",
-       "      <td>Immeuble à bureaux</td>\n",
-       "      <td>Régulier</td>\n",
-       "      <td>124</td>\n",
-       "      <td>16107</td>\n",
-       "      <td>93</td>\n",
-       "      <td>201</td>\n",
-       "      <td>34</td>\n",
-       "      <td>587</td>\n",
-       "      <td>18577</td>\n",
-       "      <td>semi-attached</td>\n",
-       "      <td>1997268</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>31</td>\n",
-       "      <td>499317</td>\n",
-       "      <td>POLYGON ((-73.56787 45.49965, -73.56773 45.499...</td>\n",
-       "      <td>1982</td>\n",
-       "      <td>1.218357</td>\n",
-       "      <td>0.008065</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>470491</th>\n",
-       "      <td>228462</td>\n",
-       "      <td>05064648</td>\n",
-       "      <td>2341</td>\n",
-       "      <td>2351</td>\n",
-       "      <td>boulevard Alfred-Nobel  (SLR)</td>\n",
-       "      <td>50</td>\n",
-       "      <td>6000</td>\n",
-       "      <td>Immeuble à bureaux</td>\n",
-       "      <td>Régulier</td>\n",
-       "      <td>29</td>\n",
-       "      <td>15129</td>\n",
-       "      <td>128</td>\n",
-       "      <td>373</td>\n",
-       "      <td>168</td>\n",
-       "      <td>1003</td>\n",
-       "      <td>47874</td>\n",
-       "      <td>semi-attached</td>\n",
-       "      <td>438741</td>\n",
-       "      <td>4</td>\n",
-       "      <td>4</td>\n",
-       "      <td>8</td>\n",
-       "      <td>121032</td>\n",
-       "      <td>POLYGON ((-73.76055 45.48505, -73.76079 45.485...</td>\n",
-       "      <td>1999</td>\n",
-       "      <td>0.531844</td>\n",
-       "      <td>0.034483</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>276273</th>\n",
-       "      <td>179888</td>\n",
-       "      <td>01010715</td>\n",
-       "      <td>4637</td>\n",
-       "      <td>4637</td>\n",
-       "      <td>rue Sherbrooke Ouest  (MTL+MTO+WMT)</td>\n",
-       "      <td>29</td>\n",
-       "      <td>6000</td>\n",
-       "      <td>Immeuble à bureaux</td>\n",
-       "      <td>Régulier</td>\n",
-       "      <td>5</td>\n",
-       "      <td>94</td>\n",
-       "      <td>9</td>\n",
-       "      <td>13</td>\n",
-       "      <td>123</td>\n",
-       "      <td>43</td>\n",
-       "      <td>112</td>\n",
-       "      <td>semi-attached</td>\n",
-       "      <td>470</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>188</td>\n",
-       "      <td>POLYGON ((-73.60092 45.48138, -73.60087 45.481...</td>\n",
-       "      <td>1900</td>\n",
-       "      <td>1.745437</td>\n",
-       "      <td>0.200000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>246479</th>\n",
-       "      <td>123362</td>\n",
-       "      <td>02081410</td>\n",
-       "      <td>3435</td>\n",
-       "      <td>3435</td>\n",
-       "      <td>rue de Mont-Joli  (MTN)</td>\n",
-       "      <td>50</td>\n",
-       "      <td>6000</td>\n",
-       "      <td>Immeuble à bureaux</td>\n",
-       "      <td>Régulier</td>\n",
-       "      <td>8</td>\n",
-       "      <td>91</td>\n",
-       "      <td>8</td>\n",
-       "      <td>30</td>\n",
-       "      <td>143</td>\n",
-       "      <td>77</td>\n",
-       "      <td>242</td>\n",
-       "      <td>semi-attached</td>\n",
-       "      <td>728</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>182</td>\n",
-       "      <td>POLYGON ((-73.63919 45.57910, -73.63920 45.579...</td>\n",
-       "      <td>1950</td>\n",
-       "      <td>1.432374</td>\n",
-       "      <td>0.125000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>276122</th>\n",
-       "      <td>179669</td>\n",
-       "      <td>01007827</td>\n",
-       "      <td>206</td>\n",
-       "      <td>208</td>\n",
-       "      <td>avenue Olivier  (WMT)</td>\n",
-       "      <td>29</td>\n",
-       "      <td>6591</td>\n",
-       "      <td>Service d'architecture</td>\n",
-       "      <td>Régulier</td>\n",
-       "      <td>9</td>\n",
-       "      <td>91</td>\n",
-       "      <td>7</td>\n",
-       "      <td>12</td>\n",
-       "      <td>121</td>\n",
-       "      <td>40</td>\n",
-       "      <td>93</td>\n",
-       "      <td>fully-attached</td>\n",
-       "      <td>819</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>3</td>\n",
-       "      <td>273</td>\n",
-       "      <td>POLYGON ((-73.58895 45.48545, -73.58890 45.485...</td>\n",
-       "      <td>1971</td>\n",
-       "      <td>1.605008</td>\n",
-       "      <td>0.111111</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>236884</th>\n",
-       "      <td>109796</td>\n",
-       "      <td>03050952</td>\n",
-       "      <td>1599</td>\n",
-       "      <td>1599</td>\n",
-       "      <td>rue Fleury Est  (MTL+MTN)</td>\n",
-       "      <td>50</td>\n",
-       "      <td>6522</td>\n",
-       "      <td>Service de notaires</td>\n",
-       "      <td>Régulier</td>\n",
-       "      <td>9</td>\n",
-       "      <td>88</td>\n",
-       "      <td>8</td>\n",
-       "      <td>11</td>\n",
-       "      <td>113</td>\n",
-       "      <td>38</td>\n",
-       "      <td>89</td>\n",
-       "      <td>semi-attached</td>\n",
-       "      <td>792</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>3</td>\n",
-       "      <td>264</td>\n",
-       "      <td>POLYGON ((-73.65597 45.56384, -73.65597 45.563...</td>\n",
-       "      <td>1949</td>\n",
-       "      <td>1.586080</td>\n",
-       "      <td>0.111111</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>468153</th>\n",
-       "      <td>156761</td>\n",
-       "      <td>05120340</td>\n",
-       "      <td>4100</td>\n",
-       "      <td>4100</td>\n",
-       "      <td>rue Molson  (MTL)</td>\n",
-       "      <td>50</td>\n",
-       "      <td>6000</td>\n",
-       "      <td>Immeuble à bureaux</td>\n",
-       "      <td>Régulier</td>\n",
-       "      <td>14</td>\n",
-       "      <td>43</td>\n",
-       "      <td>7</td>\n",
-       "      <td>13</td>\n",
-       "      <td>175</td>\n",
-       "      <td>39</td>\n",
-       "      <td>86</td>\n",
-       "      <td>detached</td>\n",
-       "      <td>602</td>\n",
-       "      <td>4</td>\n",
-       "      <td>4</td>\n",
-       "      <td>4</td>\n",
-       "      <td>172</td>\n",
-       "      <td>POLYGON ((-73.56342 45.54113, -73.56334 45.541...</td>\n",
-       "      <td>2006</td>\n",
-       "      <td>0.721492</td>\n",
-       "      <td>0.071429</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>877 rows × 26 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "        OBJECTID    ID_UEV  CIVIQUE_DE  CIVIQUE_FI  \\\n",
-       "41222     153829  05016356         100         190   \n",
-       "17013      36076  05030608        4477        5605   \n",
-       "45168     178192  01039420         895         945   \n",
-       "33681     133541  01039347         690         700   \n",
-       "470491    228462  05064648        2341        2351   \n",
-       "...          ...       ...         ...         ...   \n",
-       "276273    179888  01010715        4637        4637   \n",
-       "246479    123362  02081410        3435        3435   \n",
-       "276122    179669  01007827         206         208   \n",
-       "236884    109796  03050952        1599        1599   \n",
-       "468153    156761  05120340        4100        4100   \n",
-       "\n",
-       "                                      NOM_RUE  MUNICIPALI  CODE_UTILI  \\\n",
-       "41222   rue Sainte-Catherine Ouest  (MTL+WMT)          50        6000   \n",
-       "17013         boulevard Pie-IX  (MTL+MTN+SLN)          50        6000   \n",
-       "45168      rue De La Gauchetière Ouest  (MTL)          50        6000   \n",
-       "33681    boulevard René-Lévesque Ouest  (MTL)          50        6000   \n",
-       "470491          boulevard Alfred-Nobel  (SLR)          50        6000   \n",
-       "...                                       ...         ...         ...   \n",
-       "276273    rue Sherbrooke Ouest  (MTL+MTO+WMT)          29        6000   \n",
-       "246479                rue de Mont-Joli  (MTN)          50        6000   \n",
-       "276122                  avenue Olivier  (WMT)          29        6591   \n",
-       "236884              rue Fleury Est  (MTL+MTN)          50        6522   \n",
-       "468153                      rue Molson  (MTL)          50        6000   \n",
-       "\n",
-       "                    LIBELLE_UT   CATEGORIE_  Hieght_LiD  AREA_NEW  MBG_Width  \\\n",
-       "41222       Immeuble à bureaux  Condominium         151     28902        176   \n",
-       "17013       Immeuble à bureaux     Régulier          20     17441        214   \n",
-       "45168       Immeuble à bureaux     Régulier         124     16131         93   \n",
-       "33681       Immeuble à bureaux     Régulier         124     16107         93   \n",
-       "470491      Immeuble à bureaux     Régulier          29     15129        128   \n",
-       "...                        ...          ...         ...       ...        ...   \n",
-       "276273      Immeuble à bureaux     Régulier           5        94          9   \n",
-       "246479      Immeuble à bureaux     Régulier           8        91          8   \n",
-       "276122  Service d'architecture     Régulier           9        91          7   \n",
-       "236884     Service de notaires     Régulier           9        88          8   \n",
-       "468153      Immeuble à bureaux     Régulier          14        43          7   \n",
-       "\n",
-       "        MBG_Length  MBG_Orientation  Shape_Length  Shape_Area  \\\n",
-       "41222          177              122           706       31188   \n",
-       "17013          216               96           859       46144   \n",
-       "45168          201               34           587       18655   \n",
-       "33681          201               34           587       18577   \n",
-       "470491         373              168          1003       47874   \n",
-       "...            ...              ...           ...         ...   \n",
-       "276273          13              123            43         112   \n",
-       "246479          30              143            77         242   \n",
-       "276122          12              121            40          93   \n",
-       "236884          11              113            38          89   \n",
-       "468153          13              175            39          86   \n",
-       "\n",
-       "       BuildingCategory  BuildingVolume  FloorNu_RawTax  FloorNu_RawTax.1  \\\n",
-       "41222          detached         4364202               0                 0   \n",
-       "17013          detached          348820               0                 3   \n",
-       "45168     semi-attached         2000244               0                 0   \n",
-       "33681     semi-attached         1997268               0                 0   \n",
-       "470491    semi-attached          438741               4                 4   \n",
-       "...                 ...             ...             ...               ...   \n",
-       "276273    semi-attached             470               2                 2   \n",
-       "246479    semi-attached             728               2                 2   \n",
-       "276122   fully-attached             819               2                 2   \n",
-       "236884    semi-attached             792               2                 2   \n",
-       "468153         detached             602               4                 4   \n",
-       "\n",
-       "        Floor_frmHieght  TotalFloorArea  \\\n",
-       "41222                38         1098276   \n",
-       "17013                 5           87205   \n",
-       "45168                31          500061   \n",
-       "33681                31          499317   \n",
-       "470491                8          121032   \n",
-       "...                 ...             ...   \n",
-       "276273                2             188   \n",
-       "246479                2             182   \n",
-       "276122                3             273   \n",
-       "236884                3             264   \n",
-       "468153                4             172   \n",
-       "\n",
-       "                                                 geometry  ANNEE_CONS  \\\n",
-       "41222   POLYGON ((-73.56473 45.50851, -73.56473 45.508...        1977   \n",
-       "17013   POLYGON ((-73.56772 45.55916, -73.56775 45.559...        1930   \n",
-       "45168   POLYGON ((-73.56677 45.49916, -73.56677 45.499...        1960   \n",
-       "33681   POLYGON ((-73.56787 45.49965, -73.56773 45.499...        1982   \n",
-       "470491  POLYGON ((-73.76055 45.48505, -73.76079 45.485...        1999   \n",
-       "...                                                   ...         ...   \n",
-       "276273  POLYGON ((-73.60092 45.48138, -73.60087 45.481...        1900   \n",
-       "246479  POLYGON ((-73.63919 45.57910, -73.63920 45.579...        1950   \n",
-       "276122  POLYGON ((-73.58895 45.48545, -73.58890 45.485...        1971   \n",
-       "236884  POLYGON ((-73.65597 45.56384, -73.65597 45.563...        1949   \n",
-       "468153  POLYGON ((-73.56342 45.54113, -73.56334 45.541...        2006   \n",
-       "\n",
-       "        New_AspectRatio  New_SurfacetoVolumeRatio  \n",
-       "41222          1.434031                  0.006623  \n",
-       "17013          1.954238                  0.050000  \n",
-       "45168          1.220460                  0.008065  \n",
-       "33681          1.218357                  0.008065  \n",
-       "470491         0.531844                  0.034483  \n",
-       "...                 ...                       ...  \n",
-       "276273         1.745437                  0.200000  \n",
-       "246479         1.432374                  0.125000  \n",
-       "276122         1.605008                  0.111111  \n",
-       "236884         1.586080                  0.111111  \n",
-       "468153         0.721492                  0.071429  \n",
-       "\n",
-       "[877 rows x 26 columns]"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# remove anomalies from the dataset\n",
-    "office_buildings_cleaned = office_buildings.drop(anomalies.index)\n",
-    "# 4. Remove duplicates CIVIQUE_FI and CIVIQUE_DE , keep the highest AREA_NEW value, keep index of first removed duplicate\n",
-    "office_buildings_cleaned = office_buildings_cleaned.sort_values('AREA_NEW', ascending=False).drop_duplicates(subset=['ID_UEV'], keep='first')\n",
-    "\n",
-    "# recalculate the SurfacetoVolumeRatio and AspectRatio\n",
-    "from shapely.geometry import Polygon\n",
-    "# # Function to calculate aspect ratio\n",
-    "def calculate_aspect_ratio(coords):\n",
-    "    polygon = Polygon(coords)\n",
-    "    minx, miny, maxx, maxy = polygon.bounds\n",
-    "    width = maxx - minx\n",
-    "    height = maxy - miny\n",
-    "    return width / height if height != 0 else None\n",
-    " \n",
-    "\n",
-    "# # Apply the function to each row\n",
-    "office_buildings_cleaned['New_AspectRatio'] = office_buildings_cleaned['geometry'].apply(calculate_aspect_ratio)\n",
-    "#drop old AspectRatio\n",
-    "office_buildings_cleaned = office_buildings_cleaned.drop(columns=['AspectRatio'])\n",
-    "\n",
-    "#calculate new surface to volume ratio\n",
-    "office_buildings_cleaned['New_SurfacetoVolumeRatio'] = office_buildings_cleaned['AREA_NEW'] / ( office_buildings_cleaned['AREA_NEW']*office_buildings_cleaned['Hieght_LiD'])\n",
-    "#drop old Surface to volume ratio\n",
-    "office_buildings_cleaned = office_buildings_cleaned.drop(columns=['SurfacetoVolumeRatio'])\n",
-    "\n",
-    "# print(office_buildings_cleaned.describe(include='all'))\n",
-    "office_buildings_cleaned\n",
-    "\n",
-    " "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "c:\\Users\\m_osm\\OneDrive - Concordia University - Canada\\Projects\\MERN project\\03-Modeling\\ArchetypeENV\\lib\\site-packages\\pyproj\\crs\\crs.py:141: FutureWarning: '+init=<authority>:<code>' syntax is deprecated. '<authority>:<code>' is the preferred initialization method. When making the change, be mindful of axis order changes: https://pyproj4.github.io/pyproj/stable/gotchas.html#axis-order-changes-in-proj-6\n",
-      "  in_crs_string = _prepare_from_proj_string(in_crs_string)\n",
-      "c:\\Users\\m_osm\\OneDrive - Concordia University - Canada\\Projects\\MERN project\\03-Modeling\\ArchetypeENV\\lib\\site-packages\\pyproj\\crs\\crs.py:141: FutureWarning: '+init=<authority>:<code>' syntax is deprecated. '<authority>:<code>' is the preferred initialization method. When making the change, be mindful of axis order changes: https://pyproj4.github.io/pyproj/stable/gotchas.html#axis-order-changes-in-proj-6\n",
-      "  in_crs_string = _prepare_from_proj_string(in_crs_string)\n"
-     ]
-    }
-   ],
-   "source": [
-    "from shapely.ops import transform\n",
-    "import pyproj\n",
-    "\n",
-    "# Define the projections\n",
-    "proj_wgs84 = pyproj.Proj(init='epsg:4326')\n",
-    "proj_utm18n = pyproj.Proj(init='epsg:32618')\n",
-    "\n",
-    "# Function to transform the geometry\n",
-    "def transform_geometry(geom):\n",
-    "    project = pyproj.Transformer.from_proj(proj_wgs84, proj_utm18n, always_xy=True).transform\n",
-    "    return transform(project, geom)\n",
-    "\n",
-    "# Transform the geometries\n",
-    "office_buildings_cleaned['transformed_geometry'] = office_buildings_cleaned['geometry'].apply(transform_geometry)\n",
-    "# Calculate the area of each geometry directly using shapely\n",
-    "office_buildings_cleaned['calculated_area'] = office_buildings_cleaned['transformed_geometry'].apply(lambda geom: geom.area)\n",
-    "office_buildings_cleaned\n",
-    "\n",
-    "office_buildings_cleaned['YearGroup'] = pd.cut(office_buildings_cleaned['ANNEE_CONS'], bins=[1800, 1945, 1980,2010,2017,2020, 2024] , labels=['1800-1945', '1946-1979', '1980-2010','2011-2017','2018-2020','2021-2024'])\n",
-    "\n",
-    "# convert area to area_group , 5,000 square feet or less (465 square metres or less), 5,001 to 10,000 square feet (466 to 929 square metres)\n",
-    "# 10,001 to 50,000 square feet (930 to 4,645 square metres), 50,001 to 200,000 square feet (4,646 to 18,580 square metres)\n",
-    "# Over 200,000 square feet (over 18,580 square metres)\n",
-    "\n",
-    "\n",
-    "office_buildings_cleaned['Building_Size'] = pd.cut(office_buildings_cleaned['AREA_NEW'], bins=[0, 465, 929, 4645, 18580, 1000000],  labels=['Single use office', 'Small office', 'Medium office', 'Large office', 'Mega office'])\n",
-    "\n",
-    "office_buildings_cleaned['Building_Floors'] = pd.cut(office_buildings_cleaned['Floor_frmHieght'], bins=[0, 1, 2, 3, 9, float('inf')],  labels=['1 floor', '2 floors', '3 floors',   '4-9 floors', '10+ floors'])\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1200x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1200x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1200x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1200x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1200x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1200x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1200x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1200x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1200x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1200x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Histogram of YearBuilt\n",
-    "plt.figure(figsize=(12, 6))\n",
-    "sns.histplot(office_buildings_cleaned['ANNEE_CONS'], bins=30, kde=False)\n",
-    "plt.title('Distribution of Year of Construction')\n",
-    "plt.xlabel('YearBuilt')\n",
-    "plt.ylabel('Frequency')\n",
-    "plt.show()\n",
-    "\n",
-    "# # Count Plot of BuildingCategory\n",
-    "# plt.figure(figsize=(12, 6))\n",
-    "# sns.countplot(data=office_buildings_cleaned, x='BuildingCategory')\n",
-    "# plt.title('Distribution of Building Categories')\n",
-    "# plt.xlabel('BuildingCategory')\n",
-    "# plt.ylabel('Count')\n",
-    "# plt.xticks(rotation=45)\n",
-    "# plt.show()\n",
-    "\n",
-    "#plot BuildingCategory count as pie chart\n",
-    "plt.figure(figsize=(12, 6))\n",
-    "office_buildings_cleaned['BuildingCategory'].value_counts().plot.pie(autopct='%1.1f%%')\n",
-    "plt.title('Distribution of Building Categories')\n",
-    "plt.ylabel('')\n",
-    "plt.show()\n",
-    " \n",
-    "\n",
-    "# Box Plot of Area by BuildingCategory as number not scientific notation\n",
-    "plt.figure(figsize=(12, 6))\n",
-    "sns.boxplot(data=office_buildings_cleaned, x='BuildingCategory', y='AREA_NEW')\n",
-    "plt.yscale('linear')\n",
-    "plt.title('Distribution of Area by Building Category')\n",
-    "plt.xlabel('BuildingCategory')\n",
-    "plt.ylabel('Area')\n",
-    "plt.show()\n",
-    "\n",
-    "\n",
-    "# Box Plot of Area by BuildingCategory as number not scientific notation\n",
-    "plt.figure(figsize=(12, 6))\n",
-    "sns.boxplot(data=office_buildings_cleaned, x='YearGroup', y='AREA_NEW')\n",
-    "plt.yscale('linear')\n",
-    "plt.title('Distribution of Area by YearGroup')\n",
-    "plt.xlabel('YearGroup')\n",
-    "plt.ylabel('Area')\n",
-    "plt.show()\n",
-    "\n",
-    "\n",
-    "\n",
-    "\n",
-    "# Scatter Plot of YearBuilt vs. Area\n",
-    "plt.figure(figsize=(12, 6))\n",
-    "sns.scatterplot(data=office_buildings_cleaned, x='ANNEE_CONS', y='AREA_NEW', hue='BuildingCategory', alpha=0.7)\n",
-    "plt.title('Correlation between Year of Construction and Area')\n",
-    "plt.xlabel('YearBuilt')\n",
-    "plt.ylabel('Area')\n",
-    "plt.legend(title='BuildingCategory', bbox_to_anchor=(1.05, 1), loc='upper left')\n",
-    "plt.show()\n",
-    "\n",
-    "\n",
-    "#plot AspectRatio\n",
-    "plt.figure(figsize=(12, 6))\n",
-    "sns.histplot(office_buildings_cleaned['New_AspectRatio'], bins=30, kde=False)\n",
-    "plt.title('Distribution of Aspect Ratio')\n",
-    "plt.xlabel('AspectRatio')\n",
-    "plt.ylabel('Frequency')\n",
-    "plt.show()\n",
-    "#plot SurfacetoVolumeRatio\n",
-    "plt.figure(figsize=(12, 6))\n",
-    "sns.histplot(office_buildings_cleaned['New_SurfacetoVolumeRatio'], bins=30, kde=False)\n",
-    "plt.title('Distribution of Surface to Volume Ratio')\n",
-    "plt.xlabel('SurfacetoVolumeRatio')\n",
-    "plt.ylabel('Frequency')\n",
-    "plt.show()\n",
-    "\n",
-    "\n",
-    "# plot YearGroup count as bar chart\n",
-    "plt.figure(figsize=(12, 6))\n",
-    "sns.countplot(data=office_buildings_cleaned, x='YearGroup')\n",
-    "plt.title('Distribution of Year Groups')\n",
-    "plt.xlabel('YearGroup')\n",
-    "plt.ylabel('Count')\n",
-    "plt.xticks(rotation=45)\n",
-    "plt.show()\n",
-    "\n",
-    "\n",
-    "\n",
-    "# # plot YearGroup count as bar chart by BuildingCategory\n",
-    "# plt.figure(figsize=(12, 6))\n",
-    "# sns.countplot(data=office_buildings_cleaned, x='YearGroup', hue='BuildingCategory')\n",
-    "# plt.title('Distribution of Year Groups by Building Category')\n",
-    "# plt.xlabel('YearGroup')\n",
-    "# plt.ylabel('Count')\n",
-    "# plt.legend(title='BuildingCategory', bbox_to_anchor=(1.05, 1), loc='upper left')\n",
-    "# plt.show()\n",
-    "\n",
-    "\n",
-    "\n",
-    "# #plot YearGroup vs SurfacetoVolumeRatio as scatter plot by  BuildingCategory\n",
-    "# plt.figure(figsize=(12, 6))\n",
-    "# sns.scatterplot(data=office_buildings_cleaned, x='YearGroup', y='New_SurfacetoVolumeRatio', hue='BuildingCategory', alpha=0.7)\n",
-    "# plt.title('Correlation between Year Group and Surface to Volume Ratio')\n",
-    "# plt.xlabel('YearGroup')\n",
-    "# plt.ylabel('New_SurfacetoVolumeRatio')\n",
-    "# plt.legend(title='BuildingCategory', bbox_to_anchor=(1.05, 1), loc='upper left')\n",
-    "# plt.show()\n",
-    "\n",
-    "# #plot SurfacetoVolumeRatio  as histogram by YearGroup\n",
-    "# plt.figure(figsize=(12, 6))\n",
-    "# sns.histplot(data=office_buildings_cleaned, x='New_SurfacetoVolumeRatio', bins=30, kde=False, hue='YearGroup')\n",
-    "# plt.title('Distribution of Surface to Volume Ratio by Year Group')\n",
-    "# plt.xlabel('New_SurfacetoVolumeRatio')\n",
-    "# plt.ylabel('Frequency')\n",
-    "# plt.show()\n",
-    " \n",
-    "# #plot SurfacetoVolumeRatio  as histogram by BuildingCategory\n",
-    "# plt.figure(figsize=(12, 6))\n",
-    "# sns.histplot(data=office_buildings_cleaned, x='New_SurfacetoVolumeRatio', bins=30, kde=False, hue='BuildingCategory')\n",
-    "# plt.title('Distribution of Surface to Volume Ratio by Building Category')\n",
-    "# plt.xlabel('New_SurfacetoVolumeRatio')\n",
-    "# plt.ylabel('Frequency')\n",
-    "# plt.show()\n",
-    "# plot area as histogram\n",
-    "plt.figure(figsize=(12, 6))\n",
-    "sns.histplot(office_buildings_cleaned['AREA_NEW'], bins=30, kde=False)\n",
-    "# #plot AREA_NEW  as histogram by BuildingCategory\n",
-    "# plt.figure(figsize=(12, 6))\n",
-    "# sns.histplot(data=office_buildings_cleaned, x='AREA_NEW', bins=30, kde=False, hue='BuildingCategory')\n",
-    "# plt.title('Distribution of Surface to Volume Ratio by BuildingCategory')\n",
-    "# plt.xlabel('AREA_NEW')\n",
-    "# plt.ylabel('Frequency')\n",
-    "# plt.show()\n",
-    "\n",
-    "# #plot AREA_NEW  as histogram by YearGroup\n",
-    "# plt.figure(figsize=(12, 6))\n",
-    "# sns.histplot(data=office_buildings_cleaned, x='AREA_NEW', bins=30, kde=False, hue='YearGroup')\n",
-    "# plt.title('Distribution of Surface to Volume Ratio by Year Group')\n",
-    "# plt.xlabel('AREA_NEW')\n",
-    "# plt.ylabel('Frequency')\n",
-    "# plt.show()\n",
-    "\n",
-    "\n",
-    "\n",
-    "\n",
-    "# #plot AREA_NEW  as histogram by YearGroup\n",
-    "# plt.figure(figsize=(12, 6))\n",
-    "# sns.histplot(data=office_buildings_cleaned, x='TotalFloorArea', bins=60, kde=False, hue='YearGroup')\n",
-    "# plt.title('Distribution of Surface to Volume Ratio by Year Group')\n",
-    "# plt.xlabel('AREA_NEW')\n",
-    "# plt.ylabel('Frequency')\n",
-    "# plt.show()\n",
-    "\n",
-    "\n",
-    "\n",
-    "# #plot AREA_NEW  as histogram by YearGroup\n",
-    "# plt.figure(figsize=(12, 6))\n",
-    "# sns.histplot(data=office_buildings_cleaned, x='Floor_frmHieght', bins=60, kde=False, hue='YearGroup')\n",
-    "# plt.title('Distribution of Surface to Volume Ratio by Year Group')\n",
-    "# plt.xlabel('Floor_frmHieght')\n",
-    "# plt.ylabel('Frequency')\n",
-    "# plt.show()\n",
-    "\n",
-    "\n",
-    "\n",
-    "\n",
-    "# plot YearGroup count as bar chart by BuildingCategory\n",
-    "plt.figure(figsize=(12, 6))\n",
-    "sns.countplot(data=office_buildings_cleaned, x='Building_Size', hue='BuildingCategory')\n",
-    "plt.title('Distribution of Year Groups by Building Category')\n",
-    "plt.xlabel('YearGroup')\n",
-    "plt.ylabel('Count')\n",
-    "plt.legend(title='BuildingCategory', bbox_to_anchor=(1.05, 1), loc='upper left')\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 36,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1200x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def filter_buildings_by_year_and_category(buildings_gdf, category, year_groups, area_categories):\n",
-    "    category_buildings = buildings_gdf[buildings_gdf['BuildingCategory'] == category]\n",
-    "    filtered_buildings = {year_group: {} for year_group in year_groups}\n",
-    "    \n",
-    "    for year_group in year_groups:\n",
-    "        year_group_buildings = category_buildings[category_buildings['YearGroup'] == year_group]\n",
-    "        for area_category, (min_area, max_area) in area_categories.items():\n",
-    "            filtered_buildings[year_group][area_category] = year_group_buildings[\n",
-    "                (year_group_buildings['AREA_NEW'] > min_area) & (year_group_buildings['AREA_NEW'] <= max_area)\n",
-    "            ]\n",
-    "    \n",
-    "    # Handle the recent year group separately\n",
-    "    recent_year_group = 'recent 2018-2024'\n",
-    "    filtered_buildings[recent_year_group] = {}\n",
-    "    recent_buildings = category_buildings[category_buildings['YearGroup'].isin(['2018-2020', '2021-2024'])]\n",
-    "    for area_category, (min_area, max_area) in area_categories.items():\n",
-    "        filtered_buildings[recent_year_group][area_category] = recent_buildings[\n",
-    "            (recent_buildings['AREA_NEW'] > min_area) & (recent_buildings['AREA_NEW'] <= max_area)\n",
-    "        ]\n",
-    "    \n",
-    "    return filtered_buildings\n",
-    "\n",
-    "# Define year groups\n",
-    "year_groups = ['1800-1945', '1946-1979', '1980-2010', '2011-2017']\n",
-    "\n",
-    "# Define area categories\n",
-    "area_categories = {\n",
-    "    'Single-Use Office': (0, 465),\n",
-    "    'Small Office': (466, 929),\n",
-    "    'Medium Office': (930, 4645),\n",
-    "    'Large Office': (4646, 18580),\n",
-    "    'Mega Office': (18581, float('inf'))\n",
-    "}\n",
-    "\n",
-    "# Create a nested dictionary to store the filtered buildings\n",
-    "buildings_dict = {\n",
-    "    'detached': filter_buildings_by_year_and_category(office_buildings_cleaned, 'detached', year_groups, area_categories),\n",
-    "    'fully_attached': filter_buildings_by_year_and_category(office_buildings_cleaned, 'fully-attached', year_groups, area_categories),\n",
-    "    'semi_attached': filter_buildings_by_year_and_category(office_buildings_cleaned, 'semi-attached', year_groups, area_categories)\n",
-    "}"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\m_osm\\AppData\\Local\\Temp\\ipykernel_7308\\3179994329.py:37: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.\n",
-      "  ax.set_xticklabels(year_labels, rotation=45, ha='right')\n",
-      "C:\\Users\\m_osm\\AppData\\Local\\Temp\\ipykernel_7308\\3179994329.py:37: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.\n",
-      "  ax.set_xticklabels(year_labels, rotation=45, ha='right')\n",
-      "C:\\Users\\m_osm\\AppData\\Local\\Temp\\ipykernel_7308\\3179994329.py:37: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.\n",
-      "  ax.set_xticklabels(year_labels, rotation=45, ha='right')\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 2000x800 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "def plot_buildings_stacked(buildings_dict, year_groups, area_categories):\n",
-    "    building_types = list(buildings_dict.keys())\n",
-    "    area_category_labels = list(area_categories.keys())\n",
-    "    \n",
-    "    # Colors for the area categories\n",
-    "    colors = plt.cm.Paired(range(len(area_category_labels)))\n",
-    "    \n",
-    "    fig, axes = plt.subplots(nrows=1, ncols=len(building_types), figsize=(20, 8), sharey=True)\n",
-    "    \n",
-    "    for idx, building_type in enumerate(building_types):\n",
-    "        ax = axes[idx]\n",
-    "        bottom = [0] * (len(year_groups) + 1)  # To keep track of bottom for stacked bars\n",
-    "        year_labels = year_groups + ['recent 2018-2024']\n",
-    "        \n",
-    "        for area_idx, area_category in enumerate(area_category_labels):\n",
-    "            counts = [len(buildings_dict[building_type][year_group].get(area_category, [])) for year_group in year_groups]\n",
-    "            # Handle the recent year group separately\n",
-    "            counts.append(len(buildings_dict[building_type]['recent 2018-2024'].get(area_category, [])))\n",
-    "            \n",
-    "            bars = ax.bar(year_labels, counts, bottom=bottom, color=colors[area_idx], label=area_category if idx == 0 else \"\")\n",
-    "            bottom = [sum(x) for x in zip(bottom, counts)]\n",
-    "            \n",
-    "            # Annotate the numbers\n",
-    "            for bar, count in zip(bars, counts):\n",
-    "                height = bar.get_height()\n",
-    "                if height > 0:\n",
-    "                    ax.annotate('{}'.format(count),\n",
-    "                                xy=(bar.get_x() + bar.get_width() / 2, bar.get_y() + height / 2),\n",
-    "                                xytext=(0, 0),\n",
-    "                                textcoords=\"offset points\",\n",
-    "                                ha='center', va='center', fontsize=10, color='black')\n",
-    "        \n",
-    "        ax.set_title(f'Building Category: {building_type}', fontsize=16)\n",
-    "        ax.set_xlabel('Year Group')\n",
-    "        if idx == 0:\n",
-    "            ax.set_ylabel('Number of Buildings')\n",
-    "        ax.set_xticklabels(year_labels, rotation=45, ha='right')\n",
-    "    \n",
-    "    handles, labels = axes[0].get_legend_handles_labels()\n",
-    "    fig.legend(handles, labels, title='Area Category', loc='upper right')\n",
-    "    plt.tight_layout()\n",
-    "    plt.subplots_adjust(right=0.85)  # Adjust layout to make room for legend\n",
-    "    plt.show()\n",
-    "\n",
-    "# Example usage\n",
-    "plot_buildings_stacked(buildings_dict, year_groups, area_categories)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# next steps are to merge the LoD1 and LoD2 and select the offices"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "MERN_archetypes",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.9.5"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/Building_selection.ipynb b/Building_selection.ipynb
index b61bf48..3918780 100644
--- a/Building_selection.ipynb
+++ b/Building_selection.ipynb
@@ -24,7 +24,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -243,7 +243,7 @@
        "[5 rows x 26 columns]"
       ]
      },
-     "execution_count": 25,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -263,7 +263,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -272,7 +272,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -491,7 +491,7 @@
        "[5 rows x 26 columns]"
       ]
      },
-     "execution_count": 27,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -507,7 +507,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -516,7 +516,7 @@
        "[6000, 6592, 6132, 6522, 6591]"
       ]
      },
-     "execution_count": 28,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -535,7 +535,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -544,7 +544,7 @@
        "{'Year Anomalies': 114, 'Area Anomalies': 0, 'Missing Values': 0}"
       ]
      },
-     "execution_count": 29,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -582,7 +582,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -614,7 +614,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -833,7 +833,7 @@
        "[5 rows x 26 columns]"
       ]
      },
-     "execution_count": 33,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -866,7 +866,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -876,7 +876,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -1288,7 +1288,7 @@
        "[877 rows x 28 columns]"
       ]
      },
-     "execution_count": 35,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1301,7 +1301,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1320,7 +1320,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
@@ -1335,7 +1335,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1200x600 with 1 Axes>"
       ]
@@ -1365,7 +1365,7 @@
     },
     {
      "data": {
-      "image/png": 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56EmXJFmRwyfy9O3Gg8ov5N/GpSDQx0N1I31cplF7e5lVP8pX/jaLGyMDAFQ0RpQBAAC3OJaVp98PZmjFziPKL3SoWc0gtY4NVq1gH3eHBlSazQcyiiXJivy+P0NpmXmK5t+E25nNJoUFeinQx0O5BQ6ZJHlbLaw/CABVEIkyAABQ6Y5n5ytxdZK2Hsh0lu0/nqMVuw7r4RsaKLY6081wZcjMKSi1rtBhqMDuqMRocC6nnlzLCDIAqMr4EwgAAKh0O9JOuCTJimTmFGr+llQVFJIcwJWhYbh/qXUhvlYF2jwrMRoAAMCIMgDARWd3GDqYnqO0zFwZhhQe4KWoIJs8LPy95kr1y+6jpdZt2Z+uI9l5igy0VWJEwPkrtDt0MD1HqZm5kqSIAO8y3+PqhfkpLMBLhzLzitX1ahapED+vCo8XAACUjkQZAOCiyi0o1LI/j+jbDQeU+/9HCVk9zOrTLErXXxUmm5UpLFeiQkcpizJJshtGqWs2AZeanHy7Fm9P09zNKco/7R7Xt3mUujY89z0uLMBbD3Spq283HtTv+zNU6DAU4mtVr2aRahsbUhmHcMWwOwzl5NmVV+iQh9kkmxdrjAEAiiNRBgC4qLannNAXa//S6XmP/EKHvlq/X+EBXmpVO9htscF9WsdW07aU4lMvJalhhL9CfK2VHBFwfv5IydRX6w+4lOUXOjR73X6FB3irZUy1c/ZRK9hXwzvVUVpmngrsDgXaPBlJVsFyC+zafyRXRzLynT+PbF5m1Qn3VYAPX4kAAH/jTygAgIsmv9CuxdsPqbTBQYu2pym3wF6pMeHS0CgyQNHBxadWenuY1atpJItl47KQV2DXom1ppdYv3pamvDLe46weFkUH+6hOqB9JsgpmGIYOHs3T4dOSZJKUk+fQnweylJPHzyEAwN/48wkA4KLJKbDr8Ini6+4UOXIiXzn5dnmTFLnihPl7677OdbVq11Gt2XtUBXaHGoQH6IZGYaof5ufu8IAyySmw62jWWe5xWfnKKbCT+HWzk3l2Hc4o+XMqsBs6kWuXzYvPCABwCokyAMBFY/O0KNTfS4dKSZZV97eyRtkVLDLQpltb1tT1V4Wp0GEoyOYpT9YLwmXEx2pRdT8vHcnKL7E+1N9LPtzj3K7QbugsyyIqJ69QEtO9AQCn8NsoAOCisXpYdH2jMJlKqe/WKJzRZFA1X6tC/b1IkuGyY/Ww6Ia48BLvcSZJNzQKk9WDe5y7WcwmmUr7QSQx4g8A4ILfSAEAF1WjiADd3jpa3qclQbw8zLq1ZU3FRQa6MTIAuHBxkf7q3zpa3p5/3+O8Pc3q3zpacZEBbowMRXy8LAr2K3nEmMVskr8PiTIAwN+YegkAuKi8PC26oVG44qIClJqRK0NSRIC3IgO95WHh7zUALm/enh66sVG4GkcFKC0zV5IUHuCtqECbzOazDGPCBTEMQydyCnXsRIGy8+zy9bYo2M9T/jYPmc4YPmY2mxQd6q0Cu0OZJwud5R6W/8fef0fHdd/3vvd79+kdg14IgAQ7RVVSVO+2bMclju04ttPjxKlOO7n33Jvc0/Kcc09umuM4iZ04cUlcYsdFsqzeRTVK7BW9Dur0usvzx4AghigkJVbx91qLy9ZsYLAHmBlgPvMtEt2NXryGeEkkCIIgnCI5jrNKx75wttLpNMFgkFQqRSAg3j0UBEEQBEEQhAvBcRym02V6J/IsfiUjSdDd6CUWWL56rGLa5EsWxYqNqkh4dEUM8ReueOJ1qCCcf+LtE0EQBEEQBOGqly+bpAsVNEUm6jMu9ekIqyiWbQYSBU5/u99xoD+Rx+tSll0Uo6kyQVVGNP0LgiAIqxFBmSAIgiAIgnDVqpg2h8bT/OjAOMOzeVyaws1dUW5dW0c84LrUpycsI1+2MFdYY2laDoWSJTYqC4IgCG+ZCMoEQRAEQRCEq9abw0n+4dk+rPnypGLF5uH9ExxLZPn07V2Evcu38QmXzgoZ2VkfFwRBEITViCnKgiAIgnCpWCakxyA1ApXCpT4bQbjqpPJlvvfm6EJIttiJySx909lLcFbCmbg0mZXWJEgSNRtIBUEQBOFciYoyQRAEQbgU5gbgyEMw8hrYFsTWwqb3Q/3m6is9QRAuuJlcmfFUccXjB0fTXNceuYhnJJwNj6FQF9KZTJaXHKsPGXjOYUC/4zgUKhaqIqErol1TEARBEEGZIAiCIFx8qRF45v+F/PSpyxIHYPo43P4H0LD50p2bIFxFZElCklgyFP4kXRWVSZcjRZZojblxaQoTc0XKpoOuyjRGDGIBHVk+uzcb+qeyvNQ3w9GJDF5D5da1dWxqChBwaxf4FgiCIAiXMxGUCYIgCMLFNrqnNiQ7ySrB4e9DtBs0MURcEC60+qCLtXE/xxKZZY9vbQldlPNwHIeJVJHRZIF82aI+4KIl7MZriD/VV6KrMs1RF7GAhmk5qIqMcQ4tl0fG03zuyRMUKtbCZUcnMtzcHeUj17fic4mwTBAE4WolfvsKgiAIwsVkWTDyysrHp45BYRa0pot3ToJwlXJrCh+4tpnPPXmcXMmqOXbX+jjtMc8FPwfHcXh9cI5/eWmg5hy2tQb52I1t1PlFaL4aQ1MwzjHTypdNvrNntCYkO+nFEzPctCbK5ubgeTpDQRAE4UojgjJBEARBuJgkCdRVXvgqGkhiTo4gXCzr6v387n09vD44x6GxNH5XtQVvXb0Pr37h/1QenMnzpef7KZt2zeV7h1OEPRN8/Kb2s24lFM7OZKZE39TKixr2jSRFUCYIgnAVE0GZIAiCIFxMsgxr7oCJ/csfb7sJfPGLeUaCcNkplC3GUwUqlk3ArdEQcCFdwCUX7VEv7VEv791mo8rSBf1apzs0nloSkp20u2+Gu9bX0xx2X7TzuRo4tsMKY+kAMO3Vjl5ecqUKI3MFMkUTn0ulOeTGL9pGBUEQ3hYRlAmCIAjCxVa/CVpugJFXay/3N8La+8XWS+GqNjCT41uvDnMskcF2wGeo3LMhzh3r4xc8ANCUiz+8P5EqrXisWLEpmkvbA89WsWyRK5u4NEXMO1sk6jdoDrsZnSsse3zLhawmK+chMw62Ce7w23pjZHQuz1d2D3I8cao6bk2dl0/ubKct4j0fZysIgnBVEr8xBUEQBOFi84Th+l+A9l3Q/zRUStC2Axq3QaDxUp+dIFwyk+kif/vUCaaz5YXLsiWT/3hzDEmWeM/Wd9DsPseBbII7m8oU8gb7EmUqVm0lk9dQ8Ojn3opdMi0OjaV57FCCRKpIwK1yz4YGtrYGRbUREHBpfGB7M194undJ9diGxgBrYhcoZJo+Dm9+HaaOgGODJwqbPgjtN4N+bvPwssUK//LSICcma1tI+6dyfPmFAX7r7rUEPfr5PHtBEISrhgjKBEEQBOFS8IShfWf1n+OIKjJBAE5MZmtCssUeP5Tgho4I9YF3wHD71AgcewSGdlOfz3Ov1MCude/j26MhxtKVhQ+7fV2chnO8vY7j8MKJab6+e2ihvTBZqPCPL/Rz78Z6PrC9GUMTcxC3toT4rXvW8uihCQam87g1hV1rY9y0JkLoQgRMyWF49n9DMXnqsvwMvPoP1dmUnbef09WNJAtLQrKTBmfyjCQLIigTBEF4i0RQJgiCIAiXmgjJBAGA/pnciscyRZN0oXLlB2WZBDz3F5AeBsCtQENxgOEX/4wP3/w7/F0+iOk43NwV46718XOelzaRLvK9N8aWncH15OFJbuiI0BX3nfF6cmWT0bkCo3MFdFWiNeyhKeRGvQTtqReCIktsbArSHfeRKlTQFPnCBGQnTeyrDckWO/gf0LC1+gbKWcoUzVWPpwuVVY8LgiAIKxNBmSAIgiAIgnBZCLtXbgtUZQlDfQeENJOHFkKyk/wujW5NoZz4Mb9352eRDB/NITfaW7i9U5kS2dLyIYrlOAzP5c8YlM3mSnzrtRFe7Z9dCNx0VeYjN7Syqyv2ls7rcqWrCnX+i1Bhlziw8rHMGJTS5xSU+c4wc87nujgv88qmTbZgMput4DgQ8Wn43CqG9s65jwiCcPURQZkgCIIgCIJwWdjQGECVx5bdOrilJUh98AqvJgMYeQ1UN5XmHRQiG7AdCaM8i2v4afTMID5PEcL1b/nqz1R/Jp9Fhdrzx2d4pX+25rKyafO13YM0Bt30NPjf8vldtdzRlY+pbpDPbXZcc9hNW8TD0Gx+ybGmkIuW0LnNPFtNplBhJldGliDud+Gan5tXqtgMJPLMZk9Vr02nywQ8Kl0NnoWPEwRBuNKIoEwQBEEQBEG4LLRGPPzMjna++vIg5qLB9k1hN+/f3oyhvgNeeHvCpLb9Cv1zUBirhhyqGqap6xPEp59Dk99eJU484CLo1kgt03qnyhKtkdUDlKlMiWeOTS57zHbg5f4ZEZS9FW074MTjsFxTbPtO8Dec09UFXBo/u6uDLz3fX7O9szHo4udvWUPY+/bbSE3LZv9oiu+9OcbwbB5ZgnX1fn5iezPr6v0kc5WakOykdN5kJlOhOfoOeLwKgnBVEkGZIAiCIAiCcFlQFZmdXVFaIh6OT2ZIFyq0R710xrxEfcalPr3zItf5Ho4dOIppnmqPNE2TofEkSueDNHjPLTA5XX3AxYeua+GfXxjAcmpDmQe3NtIcWr0qr2xaZAorz78aTxVWPCasItoF2z4C+75RXeByUngNrH8Q3kJA2h718tl71zEyVyBdqOB3qbSEPeclJAM4OpGp2QxqO3BkIsPwk8f57D09pPPWip87mSpRF9DQxeIIQRCuQCIoEwRBEARBEC4bqiKzJuZlTcx7qU/lgpizfJhGEMyZ2gOKxljJT9hReLuR4I1rIoQ9Gs8cm2Z0Lk/Yo3Pn+jgbGgPoZ6jK8xoqUZ/OZKa07PGuujMvAhCWobmh510Q3wDj+6Gcrf7/aDd4Y2/5akMe/YIsIShWLB45MLFsG3SuZPHq4Cyb4qEVP9+2HRxHLKoRBOHKJIIyQRAEQRAEQbhIMmUg0AxGEPIz4FjgCoIRpISBadlvexC6pshsbAqyrt5PoWJhaDK6cnaVPSGPzv2bGvjK7sElxwxV5rq2sx84fzlK5ctkSiaaIhP3G0u2ihYrFql8BUWWiPr0c946uirVBXXrq/8uc6lChcFVttAeGk9zY1uUVH756kOfW0NTRVAmCMKVSQRlgiAIgiAIwjmpmDZl0wYJXKqCoogXxGfLpckgq+AOVf8tosoSsnz+vpeqIuNXzj10u74jTKpY4dGDExQrNgBRn85P39hGxxVa6Vcom7wxlOTh/eNMpIp4DIUdnVHu3lBPfcCFZTscnUjzyMEJ+qZyGIrMjZ1RblsbozHkvtSnf9GpsoShKeTKy7dXenWFiF8jkSxjnVZ1JkvQENbP631ZEAThYrqs9/b+yZ/8CZIk1fxbv/7UOzDFYpHPfOYzRKNRfD4fH/rQh0gkEjXXMTQ0xIMPPojH4yEej/P7v//7NTMhAJ5++mmuvfZaDMOgu7ubL3/5yxfj5gmCIAiCIFxRbMdhLlvh8EiOfQMZ9vdnODqWW3WmlVAr6l+5TS4W1KtB2iXmc2m8d2sTf/TuDfzm3Wv57H3r+E8PrOeatvD5rbC6iF7qm+FLz/czniriUG0ffOLwJP/0Qj/JfJlDYyn+8onjHBxNUyhbJAvVoPDvnu1lKlO81Kd/0UV9Bjd3r7yp87Z1cfxujZ4WLwHPqdoLn1ulp8VHwC3qMQRBuHJd9s9gmzZt4vHHH1/4b1U9dcq/8zu/w0MPPcS3vvUtgsEgv/7rv84HP/hBXnjhBQAsy+LBBx+koaGBF198kfHxcT75yU+iaRr/43/8DwD6+/t58MEH+fSnP83XvvY1nnjiCX7xF3+RxsZG7r///ot7YwVBEISrVqFsMTCT483hOfIli41NQbrjXur8qw/eFoSLKZ03OTqaXZhF7gCpXIVc0WRjqw+v67L/0/KS87kUOurdDE4Wama6Bz0qjeGlrYCXiixLtIQ9tIRX35J5JZhMF3lo7/iyx44nsowli3x/71jNptWThmcLHEtkrsrn4l1dMQ6PZeidytZe3h1j/fzm06BHw9usUJqvPNQ1Ge0tVDEKgiBcTi77v2ZUVaWhYen2n1QqxZe+9CW+/vWvc9dddwHwT//0T2zYsIHdu3ezY8cOHn30UQ4dOsTjjz9OfX0911xzDf/1v/5X/vAP/5A/+ZM/Qdd1vvCFL7BmzRr+7M/+DIANGzbw/PPP8+d//uciKBMEQRAuilzZ5OF94zxyYGLhshd7Z2gKu/n07V00X4VtP8Llx7IcxmaLOEuzBEzLYTZTEUHZWZBlifqggd+tki1YmLaDz1DwuhQ0VQQMF8JcvkyyUFnx+FSmRP/0yvO49gwm2dVddyFO7S0pViyKFQuPrpxxOcPbEQ+4+PTtnfRO5dg3mkRXZK5pDbEm5sXn0hY+TlVkVBGOCYLwDnLZP6MdP36cpqYmOjs7+fjHP87Q0BAAr7/+OpVKhXvuuWfhY9evX09bWxsvvfQSAC+99BJbtmyhvr5+4WPuv/9+0uk0Bw8eXPiYxddx8mNOXsdKSqUS6XS65p8gCIIgvBX9U9makOyksbkCjx6cWDL/RRAuhbJlky0sP68IYC5XEffVsyTLEj6XSkPYoCXqIuTTREh2AZ0pxFFlUFaZp6Vf4p+N4zhYtkOhbPLawCx/8fgx/vThI3zuyRPsHU5SMld+XL5dEZ/BDWsi/MItnXxiZwdbWkI1IZkgCMI70WX9G/mmm27iy1/+Mo888gh/+7d/S39/P7feeiuZTIaJiQl0XScUCtV8Tn19PRMT1RcbExMTNSHZyeMnj632Mel0mkKhsOK5/emf/inBYHDhX2tr69u9uYIgCMJV6uW+2RWPvT4wx+RVOB9HuPzIEqyWN6iyjJjdLVyO6gMGa1ZYQiBL0Bx2s6U5uOLn37gmcqFObVWm5TCXLXNsLMeBwQz7hzKk8ibJfIXpbImDY2n++onjPH98Gme5Uk9BEAThLbmsg7J3vetdfPjDH2br1q3cf//9PPzwwySTSb75zW9e6lPjj/7oj0ilUgv/hoeHL/UpCYIgCFeodHHlQejFiiWqdITLgqEpxALGisfjIf2yma8lCIv5DI0PX9+Kz6htDZaA929voTHk5t1bGgm6l1ZK3bgmQled74KdW8W0SecrJLMV8kVrIfCybYdEssSRkRyzmQrT2TJvDKTonyjwro2NC7fFAb73xijjKfGGiiAIwvlyRQ2SCIVCrFu3jhMnTnDvvfdSLpdJJpM1VWWJRGJhpllDQwOvvPJKzXWc3Iq5+GNO35SZSCQIBAK43SvPhDEMA8NY+Y9FQRAEQThbm5sDHBhNLXusOewmINpchMtEPKiTylfIFWtbvWIBnYD7ws1KEoS3q6fBz+/d38P+0SRHJjJEPAY3dUbojHkxVIXOOh+/c+863hiaY+9wCreucO/GOG1hL6ZZ3fbq1mVc+vm7n6cLJgOJArn5N0sUGRrCLhrDBqWKzfD0qe6WYsXCAUzbYWS2xA0dYZ46OgVArmyRSBdpEvMsBUEQzosrKijLZrP09vbyiU98guuuuw5N03jiiSf40Ic+BMDRo0cZGhpi586dAOzcuZP//t//O5OTk8TjcQAee+wxAoEAGzduXPiYhx9+uObrPPbYYwvXIQiCIAgX2qamIGHPBHP52mHTkgTv2dpEYJkqB0G4FNyGwrpmL5mCxVymgixD1K/hc6mX1Ywt23YolC1My0FRJNy6suoMqkvBth0ms0UsC8JeDY9+Rf1ZfkVqjXhojXh495bqf89mSxwYS9E/ncPnUlkX9/OuLY28a0sjju0wmSpzfCyHVV3oiK5KdMQ9RPza266ezJcsjo1kqSzatGnZMDpTRJbBUOVlF2cAZAom3Y0XNhRzHEdUiAqCcNW6rH8j/97v/R7vfe97aW9vZ2xsjD/+4z9GURQ+9rGPEQwG+YVf+AU++9nPEolECAQC/MZv/AY7d+5kx44dANx3331s3LiRT3ziE/yv//W/mJiY4D//5//MZz7zmYVqsE9/+tN87nOf4w/+4A/4+Z//eZ588km++c1v8tBDD13Kmy4IgiBcRZpCbj5z11q+/+YoB8fSWLZDQ9DFe7c1sbV15bk5gvBWZUsVskUTQ1UIe/Vz+lyXpuDSFOoC5/Z5F0uxbDEyU2QmXcZ2qu11Yb9Ga8yNx7g8qt5G5/I8dmiS1wdnKZs2bVEP79naxKamgNgeeJGMJgt88dk+hmbzC5epssRHb2zjlu4YybzJ8HRtO6MkSfROZTk0YaGrMo1BF00h91v6maXzZk1IttjEbIm2eG0Q5tIUJKqtlrD4/4BXV6gPuM75HJYzniywfzTFnqE5XKrCru4Y6+p9BD2X5+NdEAThQrisg7KRkRE+9rGPMTMzQ11dHbfccgu7d++mrq66nvnP//zPkWWZD33oQ5RKJe6//34+//nPL3y+oij88Ic/5Fd/9VfZuXMnXq+XT33qU/yX//JfFj5mzZo1PPTQQ/zO7/wOf/mXf0lLSwtf/OIXuf/++y/67RUEQRCuXmtiXn71ji4S6RKW7RDyaITECxPhPCtVLPaNpHjk4ASJVBGvoXL7ujp2dEaI+C7vkRKZYoWyaeMzVAxt+cDLshyGpgrMZE5VZzrAbKaCaTmsa/Je8sq3yXSRzz/dy8SimVJ9Uzn+5qkT/OodXWxvC1/Cs7s6VEybH+wdqwnJoNrW+B97Rums81Io2DXHXLrEnpFZfnxgAkWR8BgKuirz/u3N3LGubsX75EpypZVnU1YsB/W0CkiXqhAPGCTSJVyaTKZUvY9LEvzE9mYag28/KBuazfE3T55gOlteuGz/aIob10T46I2tBN3id5IgCFcHyRErUs6LdDpNMBgklUoRCAQu9ekIgiAIgiAs8dSRSb62e5DT//i7viPMJ3a24zMuvzbfVL7MnqEkTx2dJFc0aQq7uXdjPRsaAktCr0zB5MBgZsXr2tjmI+i5tLfx2WNT/POLA8se64h5+ey9a/Fehj+Hd5KRuTz/7YeHaiq6dEXmxs4IhbLFVLZExK2zrSWEX9eomDBVKPCl5/oBUBQJv1tFolqx+Jv3rGVrS+jczmG6WDODbDFZgo1tfibmSkynT4VWlu2QKZmE/SrPHp9EUSTu2VDP+kY/hrp8UFcoW2QLFrmiiaHJ+D0qXkNZ0lZpWjZffnGAl3pnlr2eX7uji+s6Ls32T2F14nWoIJx/l3VFmSAIgiAIgnB+TKaL/GDv2JKQDOC1gTnu6ImzofHyCmhyZZNv7xnhxROnXrwnCxWOjKf5uV1ruLk7VvPxZdM+/SpqlMo2eC7IqZ61vcPJFY8NTueYzVVEUHaBlU27JiSTgNvWxfjGa8OMzBYIe3XCbp2njkzxwOYGbu6K8vieU8u/FFniZMzkAM8cm2Jj47m1zQa9KiMzLJlD5jZkVA0mM0V8HgW/283YbAnTsvG4NHpafHgNmfVNPjy6gr5CQAaQLZgcG8tRqpx6XMgSdDZ4iAVqt9ROZ0u8OZRc8bpe7JsRQZkgCFcNEZQJgiAIgiBcBaazJVKFyorH+6aybGi8vKoRhmfzNSHZSbYD39kzyrp6PzH/qZbRMw3sV5VLP5zcpa0cpqiKhPwOHaBeKJsMzubZP5KiVLHpafDTVee9JC2/PpdKyKORnF+g0hb18PrgHCOz1Qovr1FdTmFaFo8cmGBjk5/0omUrulr7M5pKlyhb9jkFZV6XQmeDh/6J/MIsPcOQePL4BIfH09gOhDwa921q4KaOCIaqoCrSQhXlmfJe07IZmCzUhGRQfez0TeTxGApe16mXgpYNFXvloLlYsVY8JgiC8E4jgjJBEARBEISrgCKv/iL+Us/uWk7vZHbFY3P5MlPZUk1Q5jEU3IZMobT0Bb+mSrgvg2H+N66Jsrtvdtlj21pDxP2X96y4tyJfNnnkwAQP7RtfuOypo5PcuCbMPRvqMTSFoFvD76qtpCtULMaSBYoVi4BLozHoOi/LDuJ+F/dvauAbrw4D1aDsi8/2AaApMl5DQVckLFumXLF5fXCOTU0Bnu+dwa0rS86hKeRGP8fzkiWJuoCOx1DIFiwKpsk/vtDHyFxhISxN5it889VhTMvmwa1N53T9hbJNprD8HDTbgUzBwutScRyH8VSRmVyJd29pZHA6z9GJNMXTqjOvaxez8wRBuHqIoEwQBEEQhMuWadlMZkpULJuASzvnDY1CVcW0CblVbuoMs2cwuWTbniJJdMV8l+jsVnam6qrTj+qqTGe9l+NjWcrmqduoKhLdjV7c+qUPyrrqvNy2ro5nj03VXB7x6rx7S+NlGVi+Xb2T2ZqQTFUkbltbx/6RFL93YB9Rn05L2MN7tzWypTmIrioMzeT4xqvDHE1kcJzqz3ZXd4x3b244L1VoN3dFMW2nOpxfkiiaNl5DpTHkwjXfzujRZXRVomI73LOxnr1jqZq2S6g+dm5dF3tLAZ4kSfhcKj6Xyp7BPGPJ4rL3+UcPJriuPUxD0L3MtSzPslcfQ12xbLLFCk8fm+LRAxPkyhbpYgVNkXnv1iZ2982QnV84EA8YbGwUG5gFQbh6iKBMEARBEITL0liywI/2j/P64Bwl0ybuN3hwayPXtYdx6+JPmLNRMW2OJjI8dXSSsbkCuiqzsytGIlXgaOJUtdZ7tjXSEjn7F+EXS3fchyQtneMEEPcb1AeWbvoLeFQ2tvnJFiyKZQtDk/G5VTyXQTUZgM+l8cFrm9naEuSl3hkyJZPtbSE2NwVpCl1+P4Pz4aW+2vbZGzsifPeNUQamcyiKhNdQGZ7N84Wne/ml2zrpivn4u2f7ajaDlk2bp45MIgEfuaH1bVeW+Vwa797SyLVtIdLFCneP1ZNIFWvadyVJQlMkrmsP09Pg5yM3tPLQvjGK8+2MPkPlJ69vYV3c/7bOBaB/OrfisWzJJJmv0BB0M54qMDCdZzZXIu530R7zEPcvfRzoiowiV1sql+NzKezum+G7e0YXLvO7NDLFCv/26hAfuaGV3X0zXNse4Z4NcRrOw1ZNQRCEK4X4K1MQBEEQhMvOTLbE3z3Ty8jcqa1wk5kS//TCAKbtcEdP/BKe3ZVjd/8M//LiACeLSxzgaCLDnT1xbloToWI73LI2xrr4ylvzLqXWSHXD5aMHEzWXq4rET17fsmKFoVtXLovqsZX4XRrb28Jsb7s62tmSi+Z7uVQZ03YYmA+GLNvBmU9CbQd+sHeMn7q+dSEkU2UJXZUpVixsB144Mc1t6+pojZyfrQwNQTcNQTcfvq6Fv3uml9MLsWI+nfWNfty6wgObGtjaEmQqXUKSoSHgPm8Bks+18ssySarOtjs0luYfnu0lXTzVUhn16vzy7V10x2srQt2GTH3Ixdhs8fSrw2MolC2bRw7UPq4kIODSsGwHv0vjP79nIzGvgXyG2X+CIAjvNCIoEwRBEAThstM3lasJyRb74d5xNjcFa2ZTXUkKJYtC2cJxwNBlPLpyTi9E53JlRpMF8mWTkEenJezGs0yFXSJd5N9fH6l54S8BXl1lz+Acf/BAD511vprNd5cbl6by4JZGOut8PHVkknShQnvUw23r4qyNXz6toqWKTbZgMpOpBkJRv4bPrWKsMrj/cpcuVBiazdE3ncelyXTX+WgJu1fdsriSzc0Bjk5kAIj6DI4lMgvHXJpSs2RhLFlkLl8h5NbY2hKkbNlkiiZRn0GhbPLGUJJ0ceWlFG/V1pYgv3J7Fz/YO8bIXAFNkdjWGubBLQ00zrc8yrJES9hDS/j8r05dF/ehyhLmMi2T3XEfuqrwuSdP1IRkADO5Mv/yUj+/e28PQc+p4FiSJBojBpIEibkSpu0gASGfRmvMxXSuxFy+vOy5KLLE6Fxh2Uo1QRCEq4EIygRBEARBuOwcm8yseGwuX2YuX77igjLbcZhJlxmYLGDOzwiTJWiIuGgKG2c1m+p4IsM/vdBPIl0CqsHXxuYAP31j25L5RZPpIpni8sO8TdthNFmk6zy0jF1oPpfGDR0RtrUEKZs2bl0943bLi6lYsegbz5PKn/pez2TKBD0qnY0eXNrlW9m2kqlMia+8NMDBsfTCZTs6o9y2tg6XoqAoMgG3gsdQz2qT6JbmEI8dTJAumpi2U/M9qfe7UBctmlBkCb9L5Zq2EF9+YaBmU2tX3Mf7r2nC/Ra/p4WyxWgyz2yujFtTaA65F+ad6arC9R0R1jX4SebKKIpM3Hd2j8vzoSXi4WM3tfH13UNYi3qNQx6Nn7q+lUS6GiAuZ3SuyGiqUBOUQXWuW2vMRSygY1o2slRdaKHIEuliBZcmL7SRni7qE/MgBUG4eomgTBAEQRCEs2Y7DqbpIEkXdkuid5UZZPIF/toXSrZg0TuRr5m3ZTswNlPEpcnUh1YP/ibTRf7umb6aKhAHODia5tuvj/DLt3XWVPusPsr7yqOryluqZrrQ5jKVmpDspFTeZC5j0hi5/M75TJ4+OlkTkt2zoR6XovLUwRk6Y178822CTREXzVHjjPPCWiMePnPXWr67Z4TjkxluWxfnqSOT1AdcBNy1j/XNzUG8hsI/v1gbkkF1KcAr/bM8uLXxnG/TVKbIN18b5s2h5EKVZcxn8KmbO9jYFFj4ONOyqdgODjaW46CtcH3nm6bI7OqK0RJ2c2A0zWyuTGedl556P40hN88fn1r18wsla9nLJUman89Xez+sD7i4qTPKM0eXXq8iSVzTGnqrN0UQBOGKJ4IyQRCEy5Rp2ThOdRbP5dwaJVw9MgWTRLJEOm8iS1AXNIj4tQsyC2pTU4Af7htbdoj7+oYADcsMcb/cTaVLy94egLHZImGfhr5KADg4k1+xVWrfSIrRZJE1Me/CZXV+A5+hLmyuW0yRJVrD78zB8RdTxbKZTJVWPD6ZKhELamhvc/D8xTSZLvLiiWkANEViTcxHS9DNwZHqTLFkobIQlCWSJUJehYBHO+Pvqe64j1+/ay2JdBFrvg3wySOTNR8T9mj8xLYmhubyBD066aKJvagV0dAUprIlprNlAu6zr3gyLZsf7h3njaEkbREPQbdOxbLon87x98/28gcPrCfq1Xl1YJYf7B1nOltClmBDU4D3X9NMZ93FafPVVJnuuJ/uZSo9I96Vg3RZYkk12ZnIssT9mxoYTxY4tmixh6pIfOzGNjqi3lU+WxAE4Z1NBGWCIAiXSiVfXeWm1/4xWqxYzGVMJlMlbNsh6FWJBw18bvGULVw66bzJkZFMzQa1oakCc9kKa5s8GOe5vawt6uED25v57p7RmsqokEfjA9c2X3HtbLbtkC8uX/EBUK7YmJbDass8p7MrBzKW7SwJxBoCLt6/vZmvvTy4JKC7d2M9TSIoe9scZ+WtgnByUP3FO5/zoWLZFCs2N62JoMgS09kyb4wk6Y77yReq8/UkqLbz2Q7HxvJ4DIW6gE7Qq676XODWFTrmw9yGoIstLUF2982QKZhsbQ2yaX7z597RFEG3hhH3kS9bmJaNoSl4dAVdkSlUVn4sLWc8VaR/Osvd6+t5dWCGN4aS+F0qu7pjlEybwekcQ7N5vvzCwMLzje1UqzVH5wr87n09l3wjaUvYzdq4j+OT2SXHtrWGaHkLj+f6gItP397F0Gyewdk8Hl2hM1adRfd2t4oKgiBcycSrLkEQhIstPQGjr8LA8+DY0LoDWm+CUAulik3veJ70ojaeYrLMTLpCT4uPgEc8bQsXn2U5jMwUlg0EMgWTdN6iLnh+gytDVbhnQz1dcR97BueYy1dY3+BnY2OAxkv8gvWtkOXqbKDsCmGZrspnnPUU9a1cUaJIEt7TKvskSeLm7igRr85jhxJMpIqEvRp3ra9nS0vgstxyeaXRFImAR2UqVV74b4DK/Ay6gEdduOxK4TNU7ttcz7deHeFYIkOd38C0wHbG+IltTWxqDFEX0hmbLZLJWyiyRMVySOdN/B6V7gYPrrOoMvUaKltbQmxtCS1cli1VOJ7IEHJr3L6ujt7JDKPJ2q2Nuirjd51bQ2SxYtIV9/PXTxynvOiJ7NBYmns31iOvCfPDfWPIskRnzEvEp2PbMDiTYzJT4uBY6pIHZQG3xidv7uBbrw1zcDSN5TiossS17eG39eZB0KOzxaOzZdHPQRAE4WonXnEJgiBcTOkJeOHPYW7g1GXJIeh7Gm7/fdJyQ01IdpJpO4zOFPG6vJfVEGvh6lAy7WXvlydNZ8rUBc//4GdDU1jfEGB9Q+DMH3wFqAvqTKfKy84Oa4gYq7ZdArRHPYQ92rIDvTe3BGle5oW8oSpsaw2xvsFPrmzh0uRlN2QKb40kSdSHDCqmjUtXyM0HoVGXQrFkUh8ykCSJkmkxMlvg+FSGsunQGfPSEakGSrbtoKnyeWmxTxXK5EsWHl0551a8kwJujfFkcWEzZcm0cakKJdPh+3vH2NYaolCyyeSrt1VVJE6eeSZvMpd9a3PZ+qay/OsrQ/RN5SiZNhPpArevq2N7W4g3hpILH7ezM0pT8Nxar1VF4Qd7R2tCspMeO5TgvduaqJg2d/bU8ezxaR49OIFLU9jRFeOOngBHJtLcu7HhnG/T+dYUcvOrt3cxkytjWtXvfdSnXZaz+/Llatus7yxCzWLFYiJVpGzaBNzqksUkgiAIF5v4S0kQBOFiGn21NiQ7KTcJfc+QafzAip+aylcoVez5obyCIFxp/C6VNQ0eBifzC9V5ElAfNoj6zxxq1Adc/NLtXfzjc/01bZjrG/x8+PqWVVveDE057+2xV7Lh2Rz7RlIcGc8Q8ens6IzSGfO+pe+RoUrIksSJ8Rz6fLva+KxNW50bQ5MplE0eP5zg+2+OYTvVn/nd6+PkChaKJKMgEZhvsfe/xRb7TLHCnsE5Hj2UYC5XJuTRuWdjnOvbIwTc51Z9NZkucXAsTVPYTSJdJFMyCbg0TKu6rfKN4Tlu6YhXP1gCXasNeCdTJeqC2jm17k2kinzh6ROEPAZ39NThOJAtmTx1dJLr2sLU+w1m8mV2dkZ5cGvjObcFlk2LVGH5sF9RJIbn8lzfEeHPHztGyaw+ONNFk++/Ocraeh8/t2vNOX29C6VUsUkkyySSpflWbQnLgnhQOmPQfrFMpou8MZzkxRPTWLbDttYQN62J0hb1LPvxQzM5/n3PCIfHMliOg89QuXdTPbevq1uoHJzJlhhJFsgVTUIeneawi+A5zKgTBEE4VyIoEwRBuFgqeeh/buXjwy/jabgbWOGdVId33ho74YpgaDJBj0Yyt7SSCaqzioQzk2WJeFDH71LJVywcG1y6jMdQzrpStKfezx8+0MNoskCubBHyaLSG3XiNi7Wb7/woViwS6SK27RD26oTOofrJsh0GZ3LsH0kxmSnSHvOyoSFAa2T5F+KnOzqR4fNPnaiZ6fbC8Wk+eF0Ld2+In3NLajJnYjsOnfWehe2XQY9K2bRJZisksgX+442xhY+/dW0dhqzyxkCa+oBBQ8C10GK//i202Fcsmx8fTPCj/eMLlyXSRb62e4jJdIkPXNt8TrfJtG0qpk2dzyDg0ihbNopUbZUslq3qJkqpen9e7r7rOOc+l61/KsP2tjAv9M7wg72jVCyHmM/gXVsaKJs2H72pjaBboynofksbbyVJoj7gwrQdMos2aWqKTEvETb3fxff2ji6EZIsdTyydCXYuZrIlJuYXGES9Bk0h11uqHjQtm6GpAtPpUws9yqbD8FSBimnTXudGvsQV51OZIn//bC/90/mFy8ZTE7zUO8Nv3r12YT7dSZOZIn/7TC+T6VPBf7Zk8t09owC8Z2sTxxMZvvR8P1OZUx+zJublZ3d10BI+u8e8IAjCuRJBmSAIwsXinCHpcuwlM4YWC3hVDO3yeMdYuLooskRz1EW2YGLatffhgEcl4BJ/TpwtSZLwuBQ8rrde3RXxGURWmVd2ueudzPIfb45yZDyN7UB9wOB91zSzvTV0xooux3F4pX+GL784gDk/B2x33yxeXeHTd3SzsWn1Nt1cqcI3XxtesvjAAb67Z4Seej9d8bPbcJgvm0xlSuSLFqbtMDBWWAiIJuZKxAI6AY/Nc8enFz5HUyRawx6OjVWDhNlcmYhXR1dkLLs6C7DH8KGcw1yzsWSBxw9NLHvsqSOT3NQZrdmGeiYBt0ZT2M3wbB5DlTEWBVOaKnFtW4igV6NUcVgulwn5tDPO2ztdoWLzrddHGJo5FbBMZ0t85aVBPrGzHb+h0v42tjDW+Qxaw25UWaJQsahYNoosYagKhioT9elMZUp4DZXNjX42NgcpmhbPHJnCAg6Np7lv07m1XjqOwxtDSf7t1SFmstVwy60rvGtzA3esj+M9xxbofMlaCMkMTUaVJSqWTdl0SCRL1AV1fJf4ufjAWLomJDspVajwxJEEn9rZUVMN2DeVqwnJFnvsYIJNTQH+4bm+he/fSf3TOb728iC/cdda0UouCMIFIV5xCYIgXCy6tzq4fyVN12AEI/iXqSZQZGiOus7pxZMgnE8Bj8r6Vh/1IaM658pQ6Ih76GrwYOjizwnh7IzM5fmbp05waKwakgEk0iW+9FwfB8ZSZ/z80WSBr+0eWgjJTsqVLb728iDJfHmFz6waT5UYmM4te8x2WJjLtRrbdtg/muLPHzvG//P9g/zXhw7xjdeG8flkdPXUc/R0ukyxbFMon1rg0BB0Lcwxg2p1nL2oiCmdMyme40bHyUxpYXnA6UzbIZEuLntsJX6Xxge2N7Fc0VPYrbG9PUxDyFh2SYGqSMQC+jlXTOXLVk1IttiPDowvCejPVdir88HrWtBVGZ+hEvboBFwahiqzsytabYuOePjfH97Gh69vp87jpjMc4P98cBO/flc3nrNYTnC63qnskpCnULb4zp5R3hicW/VzTcumULFwFpXmFcs2hiohqQ5vjM7yg4OjHEykUDRQZYlSZZX1qxeBadns7p1Z8fi+4RSzuaWB10pyJZORucKSkOyk4xNZRucKb+1kBUEQzkBE8IIgCBdT603Vwf25ydrLjQB03Y2uaXQ1yMxmKkylSthONaCoD7312TWCcL743So+l4JpuZAkznlOkCDsH0lVW/dOYzvww73j9NT7Vx3+PTSbp7BCkDSRKjKeKq7axmnZq4cJ+fKZQ6pjiQyff/IEZcvGoRpgvDmSpG86y2fuWEs5c+o6ptNlblwT4dB4GgAJqaYtUVeVmuorp/pB50Q9Q7vdyeOJdJHeySwDM3kiXo318+2qJ1snZ7Il+qZynJjK4tEVPnNnF6NzRaazJRRZwqMrbG8LL7S7rW/xMTZXJJWrIAEhr05jxHhLVU2JTBFJYtmWzYrlYJ9rL+cytreG+O171vLkkUmGZvJ4DYU7euJsaw3h1hV+ekcHLxydZTZ76v55fCLHlrYAd/bEz/nrvTYwR3mZVk6AHx+cYEtLcMmcrWyxwtFElmeOTpIqVOiO+9jZFaOrzouiwGShyD89309j0I3XUHi1f5ZHDozzy7d1XRaLflb7OTnLVNSHVpmf59IVMsXl2/2r18eSylBBEITzRbzqEgRBuJhCLXD770PvUzD8Cjg2NG+Hrrsh2gVUWzOaowrxoI7jgDo/KFoQLgeSJKGp4v4ovDX7RleuGhtNFkgVzFWDsjNVW60UTJwU9uoE3dqyYR1A9xnaLsumxWOHErXbE+cfDumiyb7RJBtiQfJlG6Tq46Ur7sWtKRQqFpOZIgGPwth8QVHcb9QEXQGPiuscZ3A1BF34DHXZ0MCtKzQG3fRNZfnbp3trKno0ReKTN3ewY02UiXR1ttTwbLVCZ32Dn77JLC/3z85Xlkm0Rzysqz/V2hrwqHhdXkoVG4lqO+BbnZEV97tojXgYmStgL6oec+sKzUH3Oc+NW46qyGxsCrI27idbMtFVGa9RfSlUqJiMzBSZW2YO4+HRDOsazq4d9yTbduibWrlaajpTJleyWLzcsVA2eXj/OD8+mFi4bGSuwEu9M3z6ji7CHp1nj03yrq2NHBhNMZTM0xJyc92aBh47NM76Jh9w6WYVqorMjs7oird7c1OQiLc2GOxp8KPK0rIVg91xH42rbL+UJRaG/QuCIJxv4q1gQRCEiy3UBtd+Eu79f+C+/wLX/+JCSLaYpsromrw0JLNtmB2AE0/Age/AyGuQn8G2HUzLrmnVEARBuJysWkGiyWecbbXaC2ddlQl7Vn/hHPe7eM+2xmWPrav30b7CZj6ohnTDswWCbo2WcPU8JElCUyRUWUZC4uB4Cm0+MPIaKiGfSkPQza/f1c2DWxu4pjXEeKbI+mYvG5p8BBZVCisytERdKOdYqdkQcPFTN7QuqShSJImfur6VkEfl314ZXtL2VrEcvvLSIEOzOR7aN7YQkvkMlYBb42svD3FiKovtgEdXmMqW+MIzJ5a0y+XKJrmKuWyr5tna2Bgg6jPojvtoibhpCLroqPOyJuZle3uIxqDrrV/5aTRVJuzVF0IygEzeZGi6gEdXMdTqz0+RJdy6gktTGJk9txY/WZaIB1aeI+h3qTWz3wCGZws8uigkO6lk2nzrtWEyxTKtEQ9/9cRxHj2UYO9wiof2T/C5p07QGfcxl1u97fhi2NwcpCm89DHqM1Tu3lC/pAq5LeLh4zval1RF1gdcfPDaZtojHhpW+Nlvag7QHFr5+UAQBOHtEBVlgiAIl4IkgTd27p9n2zD0IrzyD2BW586YjdeTajdIAGVUfG6VeNDA71be0mYt4fywbYfpbInp+U1ddX6DqM+45FvJBOFS2tkV5ZX+2WWP3bgmQty/+pKClrCbzc1BDixTmXZHTx1NZ/HCeUdnFJeq8PD+cSbSRby6yo6uKHetjy/btuk4DkcmMvzowDiHx9IMz+W5piXM3RviPHd8GlNTqFgmkiThMzRchgJIqDI0hFyYls1YqsDDBybIFEwcwK3J7OyMcWtXjFK5Wp0VDxk1wdnZkiSJm9ZEiPkMXuydZnSuQGPIza6uKF11PgZn8/RNVTc3KlI1/ClbNmWz+u/IRIaDY+mF61tX7+PRg/PLARxIFyr45kOlYsXmzaE51sS89E9nefLIJAdH00jANW0hbu+poy1y7kP32yIePnpDK994ZRj3ooUOdX6dD17bcsYlD6ezHeecK7FNyyHi0wj7NEqmVQ0eHYnJVBlrhULGYsVkeLbAwEw1POyIemmNuHFpKjd3xdjdN7NsO+kd6+NET1vIcTSRWXHdz1iySK5s86+vDIFUDVUdp/qnhO04fPO1Ya7viJzT7T2fJtNFEukiDvCpne30TmZ4+ug0lu2wsTnI7evqll0ooSoyN3dFaQ27OZrIkCpUWBOrBqR1/mpA9ou3dvLPL/YvBLkSsKEpwEduaMP9FmbHCYIgnA0RlAmCIFxJkgPw8t+DVQ1frNgGxuruZLR/ElwliKyhULaZTpdZ2+Ql6l95Vo9w4ZQrFq8PJvnGq0MMzVT/uG+PevjoTa1c2xZCOw9tRIJwJeqK+7h/cz0/PlBbOdMW8XD3hvozhvt+l8bP3NTGIwcneLlvlkLFIuBWuXt9PbeujS1UrIynCvRP5RhPFajzG6xvCKArCuWKjapIXNsWZnNTgHTJRJNl4gFjxa99ZCLDXz1+fKHdUpFlHj+c4PBEmg9e28wzx6bxuRQKZZtb18YwTZuAW6Ul5sLvVjgykeFfXx7CcVgInABeHZilPerh7vX1b7vFXlVkehr89DT4qVg22qLKnbJpoSgS17WF0VWZRKZI0KXjMRT2DidJF8yasWh+l8bIoiHplUVtpo1BF4osMZ4s8OUXBmo+7umjU+wdTvLb965bmGN2tjRV5ra1dbRHPRwcS1fnc9X56I77iAfOrprMcRx6J3McGEsxOJ2nKeRia0uIrjoP6hmec/1ulQ3NPg5NpPnX1wfIlarJWFvEw09e20JbbGkAmylWeGjfOE8cTiwsppAluGt9Pe/Z1khX3MtHb2jl318fXbjvSMCOrig7u6KnrqdQYSxVRFMkbl9XR+9khpFk7QIGCUjmy+QrVrUdSJJqZtnN5soUKhd/XlfFsnm1f5Zvvz6y0M7sM1R+YnsTv3//OiRJJujWVn2DSFVk1tT5WFO3fHvrmpiXz97bw2iyQK5kEnRrNIfdYtulIAgXlHiGEQRBuJJMHl4IyQByrXcyOj8kmlK6WmWmeXAcGJws4HOpGNo7r8u+bFoMzOTZMzjHTK7M2nofGxsD5/zi7EI5MpHhLx47VrOJbixZ4JmjUzQF3YS9OoYm17yYFYSrgVdXec/WJrY0h9g7kqRQttjUFKS7zkvQo2NaNoosrRqY1QVcfPymdu7eUE/JtPAaKnH/qTDlWCLDF57uJVWooEgS79/ezPNHZvHqGoH5QfO6KtHd6D3jc0axYvHw/vGamWRhj06maDI6V2AuVyHgUskUTW7siXB9RxivodY8vl84Mc1KSxufPjrFjs4oYe38valx+vNKwK1x9/p6vvnacM3GT5+h8nO3rKE77uWNoTnSRXPhNoc82sK2Qa+h4tUV3r2lCceWUJHYN5BhV2cduYrJjw6MY83fwLl8hVf6Z099XwtJyEyAY4G3DnwrD8XXVJnuuJ/uuP+sb+t4skD/dI5EpohLUxidLfD4ocmFeW0udZjfvm8dOzvDKMrKYZlbV8maFf799RHsRXVdTUGD5rALj64wnS7h1hW88/ehA2MpHjtUG/jaDjx+OEF7zMPNXTHu6Imztt7P8GyesmXTEvbQHHbjnQ95jicyfO3lIYZn82SKFSZSRR7Y0sADm+oZms2TLFQYSxaJ+XUUSSLk1kjmK8gSGKpCybSwHYj6DFT54v8+OZ7I8uUXBrAWlc1lSyZf3z1E+K5utreFz8vXCbg1Aqu0bQuCIJxvIigTBEG4kuQXrV7XPORsFzjVlhocp7ocYF6pYlMsW++4oKxi2jx7fJpvvDK08OJzz+AcfpfKr93Zzbr6s3+RdSGUyiaPHkzUhGRhj8ZHbmhjLlvhuUOztMc8+N0arTEXIa8qWmSFq4pHV9nQGGBDY3UwfNm0SeYqHBrOYts2AY9GXUDHt0oboixLy7ZZJvNlvvzCwEJ1y8amAOUSTKbLqHJ1i6ChypRNh+PjOTa1+Rfat/Jlk3ShgqrIxObb4ubyZXonszVfw1Bl2qMeciWT/ukcd2+oozXipbPOu2SLoWXZJNK11UGLpYsVChWLk3GC4zjYtnPOc8pWE/bovD40VxOSQTXQ+NeXB9n18Wt5YEsD//LiIAB90zlu74nznddHUBUZn6Hyvm3NjM6UKZQtuuq8jMzlqVgOYa/KvRvqeeRkqybV5+P7N8bxzh6EPV+F9Ej1gCcKWz4M7btAPXMwWDIteidzvNw/w2SmyPr6ANe0hmifb+E7NJbm75/tJVM0KVYsjiYy+A2VT97cwSP7JsiVLYqmzd8+1UtLeDMdy7T+nTSbK/H00UnqAjrZokmxYvPxHW1c3xbhxHie/vEShirjd6usa/YS8Cg8eXhqxet76sgk29vCuDWF9qiX9ujSrz2WLPD5p04sBJRuXWFnVxSfofJi3yzTmRKtEQ/3bKhnbdxL2Guwtt7HuvoAqlxdHhHy6BTLFr3T2TO2LZ9vpmXzzLHJmpDsJAd4/FCCDY0BXOfYNisIgnA5EEGZIAjClSTccer/SxL24t4LWQG59mn9nTjWf2QuzzdfHV5SoZEpmnzj1WE+e+9avMale+c5XTTpnap9Yf2h61roTxQomzaGJmNaDrmiybHRLOtbfAS9l+h887OQHKxWfBhBCLdDsPmsP91xHCZSRaazJWRZoiHgWjJ3RxBWUzFt+hMFZjOnBpHnSyWmU2V6WnwEPOf2p+pYslATTG1oCDAwOT/P0XYoViwMtbo0QFFgeDaP11BIF02+9+YowzN5XLrCzV1Rbl1bhyxJqIrE6QsldUVG9+i0xzy8d1vzimG3osh0RL0rbgKM+fTqxspihROTWY4nMpQtm846L5qicGA0zWy+xPp6P1tbg0S8BsWKjc9Q0M+yhTuRLpJIFagPupjOlrAsB0mqVulEfQZjySI3dEQwLYeH948zlSmxrt7HXRviDM3mWd/gp1hyKJYtmkIudLW6uAAc5nIm3Y2emq2biixhpPvh+b9YmKUJgDcOc/0w/ibIOjRuhbr14Ktbcs4V0+apI5N8+7WRhd9jxyayPHY4wa/e0UWD38WXX+gnc7IKzrQpVWxKlTLfem2EO3viPHN0CkOV6Yp7mcqUCHu1JUHmSbmSxUy2jFtXMDSZiEdjx5oYe/qq89dODpvPFEz29qe5ritIeoXNqVCd61aqWDXz1hYrmzazuTJ1foNMycRxqhsgy6bNPzzXj+M4NIXcDM3lGZrN8Xv39dAcdvHBa1v4i8eOM5Y6Na9rS3OQ37x7LZoiky5WCFykTZCFisXo3MpLDibSRXJFc9mgLJUvM5YqUrFsIl6dxqB7yTIKQRCES0kEZYIgCFeS6Frw1EF+Cso5/MqiLVfeOlBPtR9pqvSOqyYDOD6VXWjzOd3AdI7xVInu+KULylyagt+lkkhVW2Rbwm5Ms/rCCECV5YV5LbYD48kSPrd68V8kJIfgpc9XX7ieZARgx69C87Vn/PRC2eK541P8cN/YwjyfqE/nIze0cm1b+LKtkhtPFeidzDI8VyDq0+mp99MW8ax6vqWKRbJQQZUlEQSeZ5mCWROSnWTaDsPTBdY3e8+puqpQsWv+W5almmHqlu1g6BJj6TwP758gVay2sbVHPfQ0+OmdzFLM2zy8f4JjiSy/fFsn29vCPH98etmvt6s7dsb7+k2dUZ47PlVTZXrSfZsaUBSJF09M0z+d46XeGUzbYWOjn7BHZ+9wirJlIyMxlipyYjKLaTk0h13cvaGeDQ0BNHX170+xYqHIMvUBF6FF7a2GWt2qnCxU8OjVrYRbW4LM5StoisT7r2lmOleiWLbJFS1iPh3LkpAlCHk0JucXlaRzJq0RN4fHMwDcs7EedeiHtSFZfBNUcvDU/wDdC9FuGHgWQu2w6zch2FJzzsNzeb6zZ3TJmz2FssX33xzjJ69rJlcyUWSJjmh13IBHkzkwmmZ4Nk/Io9HT4KOnIcCTRxL8xePHWFvv573bGrFsh0zBRNdk2iIemkJu9PnKuWzJRJYk3r21iaGpwsJbUYtnbJmWw2S6xM3dUb7/5tiy3/PmsAfPMoPmC2WL2UyFyVSJkbkCWxrC7Oys47FD46yN+/l/f3QEQ5GxcQi5NTx69XfDv+8Z4Vdu7+JH+yeQZQm3plCxbG5ZG6OrzsdfPXGcgEcj7Na4e2MD17aF8C8OzGwbKnlQDVDe/u/HZL5MIl3kxjURhmbzHJ3IkC/XbjwIuDVcy3wPDo+n+frLg4zNz2FzqTJ3bqjn3o31BEV7pSAIlwkRlAmCIFxJAo1w62/D6/8C08fwjL9EXexOpkqualC2SGvM/Y7cCJU/vbTjNIsHT18KfrfGPRvqOZHoA6A57CZTOHXOdX5joToBoFKx51+4XsSfVaUIe75SG5JBdc7d7s/DPX8MwdZVr2LfSJJvvDpcc9lMtswXn+3nd+/XzmnO0MVyYjLL3z59gmT+VCWIrsr83K413NCxNNyzbIejE2l+fHCC/qkcuqqwoyvCLd0xGoJn3q4onNlsdpWqnHy1Bc57DkFZ2KOhSNJCO5hlO8gSCxWoAbdK32yWr+8eAsBtyPRN5zg8nmZoNs+OziivD84B1fvLwHSOezbUc3QizdRpgd617WF6zqLVuzPm5Rdv7eTfXhlibv6+59JkHtjUwLVtYYZn8vz4QIKnj04C1XlTL/fN4jUUfvWOLuZyZWZyZb66exC3rtBZ52UuX+bQWJpP3tzBrWuXVmQt5ndp6KpM2bRxqTKcFqw1BU+9wVLnd1Hnr27qPDiW5gd7x+ibylIs22xvC3PPhjiapKAqbrKlCvly7fNtW8TD5no3nDh66kJJqf7ueuZ/Vv+7UgTbrFZAJwfh6CNw/c/Dohlbvcu8IRL2aFzTFmImW+bJI1PcsCZCa8TDU0cSTKSKuHWFn791DS8cn8ZQZVoiHj731HEcBzY3B9jRGeH549PVqrlsGb+usGttjA9e28K2liC7umP8eL6FNOY1OJ4sVENBr4rbUJAlsCzIFixSOZMb2sM8tHd8SeuhIknctT6+pOKvVLHpHc8v/D6wLMiWTQxdZmd3jNFkgU/t6mB4Ns/Tx6ZRFXnhDZSxZJGhmTypQoW43yDk0WgJuYj4DKYzJW5YE8G0HcIejWMTaWayRd6ztQldlmD6KPQ9DTO94A5C971QvwmMc3+ONi2bN4eT/PvrI0xmSiQLFSTgfdc0cXA0xXT21GPk7vVxvEbtS83h2Tx/+/SJhTdXoFoN+KP943g0hXdvbVy4PF82KVVsPIaCIRbgCIJwkYmgTBAE4UoT7YY7/hBSo6hmkTZvEz7Lx8RcCdNycBsKjREXwXNsWbpSrIktvxkLqsOpw55Lv+nzuo4wt/fEePbYNOXKqQ10Ub++8I55VC8RM4fRBl9DHbWgeTvUrVsSeF4QqWFIHFj+WCkDM32rBmXZYoUfHZhY9ljZstndN3PZBWWZQoWv7R6sCcmgWun3Ly8O0Bxy0XzaYPeDYyn+5qkTmPOVQLmyxY/2T3BoLM2v3dFN7CLPBHonWma8Ue3xc7y+5pCb6zrCvNI/C8CBsSTrYkHG5kr4DAW3S+bh3eNANZexbIfSfBXaobE0d2+I1wRtB8bSfKojwm/dvY79Yyn2DMyhazK7umP01PsJncXzjSxLXN8RoSPqZTxdxLJtYj6DpvmwNVM0OZ6oVmMpikTJtJAkh+46LxJwc1eUZ45N0RB0MZEqUjJtVF3GduA/9ozS0+CvWWZwusagi13dMZ46MrnkWH3AoGOZ+VkHx9L8zVMnqmGVVN3I2WZk0IYO054/gC3rrGneyYjcRk426JuT+NhNbWxtDhL26eAJnwriQ60w+vqib4gK0qKwbuhFWP9gNUybVzJrA7igW2VLS4i/f6aPfNmiI+bFcRzu2RDn3ZsbSRUr2E71MbujM0pH1MOXnu/HcSDs1bltXR3HE1k+99QJoLpUIle2ePRgguG5An/yno3cuT5OybRwHJjJlYiFFIKe6gbQ4+NpVEWiOeSmMeJGlxXiARc/u6uD7+wZWQhAQx6ND13bQk/D0ue/dMEkUzBx6zIWNk1RnVxF5u+e7iNTqmA5Dr1TWba1BPnkznZeHZhd+FxFlsgUq1+j3m/QVe9jTdRLybT411eG+dorQ3h0FU2unuPHbmojkSrSmj8IL/4VWPPPe6lhmDgA698DW34StHML/I8lMvz9s30LIabfUJnKlvi7Z3r59TvX8sThBJIEd2+oZ1traMnnH55I14Rkiz1+OMENa8IYqsK+kSRPHqkuZWgOubl7Qz09DX6xAEcQhIvmnfkqShAE4Z1O91ZDFUAHGqiGMJbtoCnSeR0Efblpj3rojvs4cdqAbYAHtjTQEFz5BePFEvUZ/Nwta7hjfZwj4ynW1VeHfHt0BVWWiBlF4oPfxTr2OKouo+gKDD4H0S7Y+Rs1LxgviEq+ZvHDEouXRiwjWzKZyqw8oLx/Kk/ZtM56htLFMJMrky8vX41YqFgMzuZrgrJC2eTF3mmsZdrlBmfyHJ/MiqDsPAj7NKbTS1svgbe0tdfQFD50bQuGJvNy3yxHxjOsjftZ1+BFQaZkWiTzFRQZPC612hJdHbcFwNBMgYBbXQg+jPnqq8aQm8aQm3vW1yNJIFnlajXU+Gg1cQu2VtsHV2lri/mNhftM2bSZnm/Bm5wr84mbOihbFv+8e4CyafNLt3ZycDzNnz12jO46H8lCmXdtaiSRKZJIn9p8nCxUmEqXVg3KVEXm3ZsbgOoGzrJpI0mwtt7HR29oW3I/zpVMfrhvbCEMkYBPbtVo2Pd3FKb6yIbduDUVeWA3XWt2oN3489zQ1V37eO+6G0b3VP+/olcD+JO8seplJ52sMFvk9PBuS0uIf3lxgIplc217iA2NAW7sCDOTr/Cvrw0zOlegNeLh3g31uDUZSYJUoUJ9wEV9wGBt3Mf//b1Tbw5YjoM631h5eCxN33SOHV0uXJrCD/aNkS1W2zol4KPXNeIuTzObt/jng3DXhgYe2FyPqsjc3B1jXb2fyfnnwzq/Qd0KP4u5bBlNh0eOjPPG4BwVx8F2bO7f2MCbw0lmctXHwcGxNB0xL2tiXgZn8kA1gIv7XezsjDKRLvD13UN4DIVs0WRXd4yIV+fpo9XlAqPJAt98bZgbml3w5tfAtjDbb6PibUQxc+iDz8DRh6DlBoivX/Zcl1M2LR4/PFlT6afIEnG/QUvIhSQ5/NY9a/G7NBqDLoxlZpMNrDCrD6o/r3zJ5JEDEwu3BaqVygdH0/zcLR3s7Iqd9fkKgiC8HSIoEwRBeIfQVJmrYbpHyKPzc7s6ePRggpf7ZyhWbKI+nXdtbuDGNdFLfXoLAm6Nba0htrWGKJs2Hq3ATLqMJEG02It17HE0RUJf3AY10wsnHoftPwMXcsaXEai+oLdWaHsLNK3+6ZqC36VRrJSWPR7zG5fFO/+O45ArWszlKkynKty5tgFVhSePTi7ZRHhyKHi+VG2rmkyVaAv46LkpyKsDMxxNZGo+fs/QHDu7Lp/725XK71bxe1Qy+dqgRJagJeZ6S/ejmN/gZ25q5+719eRKJm5docHvomTaDCfz+NwKilytkpI0uVpdNN/S7TYUprOngoCtLaHa85IlKKbh4Hfh2I/Bma+OUTTY8hFYey9oq4f15dMWGKQLJsOzBTy6wi/f1sXAdJbHDk1yNJHhZJd2Il3ixb5pfuGWTkzLIZkvcyyRZS5fhrN4qoj4DD56Qyu3r6sjVajg1hQaQy5My2FkLo+qSNT7XUjzM8tOBjRQrWBqmXmO0uwAsiyRLpr4XRqKLKEnXkOZ3QnBW2u/YHwDbHo/HPoeZBMQ3wjDL4MrBHU91Uqm3AzYleqcMnft97kt4mFzc5ADoykUSQLHoSvuZWtLiDeHkxxLZEnlK4R9OkcnMpyYzLJnKMlD+8b54/du5Nq2aphWDc0kKpbD1KK2wJPfsp1dUTY0BpjNl3mxd5pssUKdz0CRJAplk0+tLRM9+o9cm+9lPFPhlvabGbRuYnjOz5q6anXz4gB0NZZj8w/P9zGVLiFJkCubjKeK/N2zvfzqHd283DdDU8hNplhhd+8Mv3RbF4MzeWQJ3n9NM60RN998bZjHDiUA8BgKAzN5BmaG+IlrmtjaEuTQWBqAoZk8yVwByxMnt/aDZI8+ReHAi2i+CP5N78Nwinimjp5TUJYpmQwtul9ANSjb1RkjU6zw44MJDo2n2dkZw1BlGpfZSlu3yvfJrSkkCybPHF26TdRyHL6zZ5R19X4xJ1IQhItCBGWCIAjCFach6OZndrRz78Z6ypaN31CJXMZ/POuqzJq4m7qARq5o4t7zDIqr+mJ9yRD/gedh3f3gi1+4Ewq0QPvN0PfM0mPeeoh0rvrpYY/OnevjfPO0GWVQfQF669ozDzi/GOayFY6P5bCdatXY0HQBSZK4f2MDDx0YY2bRC+fmoItsweToaJay6VCoWAzPFHGA7a0RbMfh+KIqRl259LfvncDQZLoaPMykK0ylSli2g8+j0hgyznnj5WKqItMaqW2lNXSFDsVLT4N/YQulIkk0BF0MzOTAgcaAi8PzYcNd6+O0xzxLrpvR1+Dow7WXWZVq9U6w+YzLME5fYBB064zJRfJli1LRoTPuo/fZ6oxDn0tFlSU+tbODiXSRP334MCGPjiZL3L+5gXX1PupPVjDN9sPEfkgOV8+jYStE1iyE7ie/J61AsWLy5nCKh/aNMZ4q4tEUbuyMcM+GehSputWzYFdDwO0xC+fAC0hS9fulqzIeQ0E++RjvexradoKy6Oele2HjB6DpWpg8DK4ghQoMhW9g/5RJyXToaXPR6QwRaV06Lyvg1vjEznYmxwaRksMElAQ7toT5t+NT7BvO0xJx89ihapvfL93aSbZYDZ0s2+GvHj/OP3zqetoi7oWZWfL8bSrPz7CUZYkPXdfC0YkMf/HEMTY0BJjMlPBoCp+8uYM9A3N8vDOP9vz/S7aUJxByIRUqlA/8gI7om5TDv4tl153TEpbhZJ6p+WpASTo1T9N2JB49mOCOnjoqtkMyX2EmV0JXJHoa/Ny/qYGNjQEGZnIMzeXxulRyRRPLPvV+ymOHEvzybZ0LQZksSziSTLbuWob+/f/CMk/e33qZPfEqDTs+gtJzC+fyW9OlyngNhblFWdnOriiPHpzgeCKLx1BxgNG5EZ47PsVn7uxe0s6+tSXEIwcmMJdZyHPruhhjycKK7dazuTKTmZIIygRBuChEUCYIgiBckWRZWvYd68uVpsqEfTphtwxOfslA7QVmsVplcSGpGmz+yeomtKGXTrU9Rbrhhp8/q5Duxo4II7N5XuqdWXhho8oS79/ezNr4ynPkLjTHcRhPFckVTXJFC12VKFYcXKpCxKsznS3TN1Hg5s4YP9hX3VjXVeejLephaLpA2azeGkOV8blUMkWT3ok8N3ZEOT6ZRZaqH3/PhgZKZRtdky6LUPBK5tYVWmIK8ZCO7Thoi4aYr6ZYsShVLNy6ctZtvl5D5aeub+VvnjqxUEXoM1S64j7evbmRbNFka0uQW9fWsa7eh1c/7U/lYgaO/Gj5K5dlGNtTDaiUlf/EnknXPr59hkrcbzCTKzObLdMT8mGoCobq0BBws6UlyJGJNLv7ZpGk6sytyUyJr+we5DfvWkvUp1dngL3w12AWTl3xwe/Azl+H1huXnMMr/XP884sDC/+dK1s8dWSKwek8v3J7F9e2h3nhRHXTpy7b2OapYC/i1U+FZFDTyl02bYrz2w8NTceo64G6HvJlk0emW3joudeqS0MchydVFx1d6/mljZtoWOb7FMscITr0XXKhjZRlL+mRV/lAKcGmne/jq4cqC2HLt14f4YGN9Xx7zwjv2dpEY8jF8cksD2xuYGgmz2yhjGU7fPr2Lh4/nOC69jDNITdeQ2XfSBJdkdFVmYpp09UUIF82uXtDHXK+gOuan6Ry6EcUykmM+YUIpZlhYpkjOM4m4Ozby49MpFFVCdN0sJ3qhmSovrnQP5Pj/Z4mdEUm7jdoi7i5qTPKB4Luhc2RiXQRl6qwJuqlULEwLRuvoVKsWJQte2FhBVJ1Ll2LDyYf+/KikOyUxMvfwttz+zkFZV5D446eOF/dPQhA0K0xmytzPFF9AyHq06vVf1QrIF/qm+Enr6sNytqjHj55cztf2z1UM4duY1OAu3rivD40t+o5iGdaQRAuFhGUCYJwVZhMFymaFi5NWXWWiyBccIoKTdth5sTyxyNrwB2+8Ofhi8ONvww974JiElR3dej2WW5CC3t1PnZTG7euq2N4No8iS3REvTSH3GgrhYAX2HS2xGMHE7xwYpp0sQK2xO09dVzXGqZQcojPt5bNZksE3W5URWJ7a5j3XdOELMmkcqfa/2RJoj7golDOYdoO5YpDZ52XmzvrwIbEbJnZVIVoQCceNPAYl888tstOOQ9zA9VqJ6sCjVsoBbspODqOUw0l3YZ8qg3ZMmF6EKYOQSFVnd0X7VoIcHMlk4NjKZ48PEmyUKEp6ObODXHW1/vP6r63tt7P793fw8GxNEcn0kS8Otd3RFgT8yJLEqosUTYdckWTwXQeRZEJuBW8LhWlUqg+Xk6Tar6dPr2HveM2vDTINW0R2iIe8pXqcPioT8czH7o5p20w0BSJtqiHgFsjmS/jM9TqrCufjqEqdMd9/HDfOB5doWLZKLJE0KMR9ersHUnygVkD/56v1oZkAGYJXv1idX7aormHM9kSP9g7tuz3pm86x9Bsnvs21XN8MsNkukRvRqenfh3W4OtEvDre07cpN1+Ho2jMZcoMTRcolKoBiEuTaa1zE/Fr9E5meehwslqtapYABxSNgazKk0en+dhNntrAOTVCcXqIifiDTCUL5IslbO81NDVrbJs7yoGmzewbrVZPTWVKRHwGv3xbFz/cN0bv6zm2NAe5ri3M2gYfU+kSLxyfpi3i5Wdv7qBk2cxkSqTyFW7ujvGzN3cwlSnhcakMTud5eN8YW1uCqJk5xhLwwe2/QHzwm6QmhxZOLzT9Gqr0oVXuZUv5XRpeQ6GiOJRMG6+uYKgSlgPtETc+Q1nYTnr/pgY662rfcDgZrCmyhM9QMW2HiFcnla9QsWx0VSLk0Yh4DbY0B3GVZphITqJHWql03k1RD6M7ZVwjL1AaP0wxcRx/x+rVj6fb3hbiWCLDiUSG29bVMTCdI+rTcQC/q/Zl5av9c9y9oZ6wR8e2HaazJUzb4ZrWMG0RL0OzOfJli+aQh9awG79bo7POx3yn7RJRn05czIUUBOEiEUGZIAjvaLO5Ek8fneKZo1NkSyZBt8Zd6+PcujZG8DLYjihcpVqur843KqVrL5cV2PA+0JZp97oQVL0aQLxFHl1lXb2fdfWXfsNloWzxrdeGeW2gWpHgONVA5aF942SKFe7oroeyTWPQRcSjsybq5v989wYag9VgL1OonZGlKhJ+l0JnnZdUoYKmSLx3SxPjs9X5To4DZdNhfLbEXNZkfYsX9+kBglCtwDr4nYVWRccTJelbx+B4H0qoCWQN07KJBQ0awgYaNvQ/A6/9Y+2A90Az7PotSv4Wfnxwgof2jS8cmsqU2D+a5BM7O7ht3dltjW0Je2gJe7h/09JapkLZ4sR4HtO0kGSQkBibcWiOumjw+VB88ZrH7mzb/XxlMMy+gePgieDPpzA0ja/sHmQmW0aVJTY0+XnXliYkHPKmja5LSI60sHHzZCVRe8xNOKDSXefFdsCrK0xnyyiShKJIhD06MV81RNveFmYuX+Z7B2ZoC7yb7roUTaOP1A7OL6YgPVoTlM3myszmll+gAHBkIsO17WF+6+51HJ5Is284iWvLT9BY7MOrWKgn58bJKsXGG5mpu5XydJ5M1qRYOlUlVKzYnBjLsb7Vx+7++QUhkrxk0+LL/bPcvbGe+sCpN7HKhSy9xTrS6VPf51K+QG8uz5rm9dwflPj669JCVVlLyM2XXxqgbyqHrsi0hFw0hlz81WPHkRWJrjovYY/GnqEkrwzMkC6YrG/w8bFtEULZY0Sz40glDxtauvDqTTy8fxyf4uGGjVtIqzbB2z+N3vsikyf2YISaqHTfy3i6RMznqglnLdthPFVYaANtCLgW3jy4oSPC88enMTQJXZVwgDvXx+ms85EuVNg3mua69jDdcS/bW5e+WdIUcuPVFQoVi9aIB6+u0hQ02DOU5Lr2MO0RLw9sbkRVHD52QztSYZLg7Z/h1aSPR/YOks6Ooakq13bdy/0771rx57+akEfnfduamM1WGEsW6YoF+G8/UcdMvsh394zWtFTajoPjOIzO5Xni8CSvD85RtmzWxLy8e0sjOzpjSypHW8Nu7l5fz+OHEzWXK/OtspfziAVBEN5ZRFAmCMI7VqFs8e3XR3i579SK9VShwnffGCVZqPCR61svWeWLcJULd8Btvwf7vw2JA9W2pWAbbP1wtW1LOGcjc3leHzzVtiPL0sI2wxdPzMxvS6tusXNpMhGfRsBzav2FrsoYmozXpaApEvmyjSpL1AV0klmV9noPibkyAdfSUodiuboA4JIFZdnJasVWYa66UTDUXv3f8yRVqDA8m6NvOo9Lk1lb56Ml7Dm758+pwzXzvLLrPsxgwcuEpfHSm0OULIVtrSHWSX4MVSZujS0NyaAa9uz7JrObf4lHDkws+TK2A9/dM0JPg78mcDlXlmUzly1TNCu8PjTH4fE0hqawqzuGpoHP7SW4/kF44S+rn2D4ebPSyr6B3urAKE+MG9dE+eJzfaQKFZrDbtbFfcT9Lv7zd/ajqTJurTrf692bG+mM+imV5+dmSdAR9+B1KXz8pna+/vIQFdvBPV9JpCkyjSEXdT6D7W0hvvhcP7mSyaaIjZrsx+9x8au3fIyega9AZVF1WaW20kyVpRWrdgA88/fjhqCLhqCLO3vi1TbtyB/Bwe9BIQnuIEcb38sPB2SOPDpMsWyxLu7nvo0NKI6MOb8t1tAk0nmTrU0hJlMl+qdzS2ZQFcrVNsLFcrabdHoUAN0w0GUFM5OjYpok5gq0dzXQHc9yPJEh4NZQFIlDY2lkqdred217mG+/PoLlOFhmtfKqYtkMzuR4YFMDXl2lp04nOruXgFtH7tqOToXJPd/j+rZd5HsamMvk2LXGSyad4nt7J3HLHWy97XaQJP7n7kk4cJhNzUHetbla/VUyLZ47Ps13Xx+hON9WqCoS921q4P6N9ayp83L/5np+fCCBJEm0hd1EfTpffWmQppALBzg6kaFvykNXnX/Jm3mNQRc/d8saDo2nebV/lqMTGbriXn73vh4Oj6d4aP8417QEuW9jI1Mpk0LeS9pzIxFXifVJm1cO91Kx4eUT40xmwnz2/bvO9HBYYipdZN9gmv6p6n2qWLE4MJxhfZOPj93Yyld2n6q629IcpGw6/M1TvTXLU45OZOidyvLrd65lS0uw5vrdusp7tjWyps7Lk0cmyRQqtEQ83NkTZ139pWvpFwTh6iOCMkEQ3rFG5vK80j+77LHnjk9xS3eMjph32eOCcF6YJchNAhJ449UKrpPqeuDWz0ImAdjgiYErcKnO9Io3lS3VvPBXZAlDlSlVbEzbIV2o4Jv//scC+pJWSUOTaa9zc3g0S3pRC6Yiw9omL7oqkSksnR3n1iTq5Sk8U9M4eR3J33jGraGnm5ivQKlYDjGfTnPYjXGWM7dIHIKXPgf5mVOXBZrh5l8/41KGszGVKfKVlwY5OHaqskeRJT54bTN3ro+vfp6WWd3iepI3zrTezCNHU7zSO12tLtK9HEtkifp0fu2ObkJKCv30kOyk8Tdw2sawlhkEDpAumkymi28pKBuezfHGcJJ9wykUWaIh4GIiXWB4thoInEhk2d4W4mPuNoKN2+Gan8Ee20u25Tby036a6zOMlj3URyMcT2RIzd9XZnNlrmkL84WneylULAJujfaoB9tx+M4bI3zq5jXUuV14dIXGSHWBgSRJ7OqO0RJxc2A0jddQ6Ir7UBUJl6qwuTnIv7w4QK5k4tJlZFUFSSKTL/LPr03yB5tuJjTyRPWGSTL4aqvs6oMuuuO+hdlSi0kSbGpa5nlIlinHtpC6YR0zmSKmI1Gs2Lg9s7Q7ZXJFk8PjaY5PZvn1O7uRbYm6oE6mYNE7ngfJYWtThJ2dMX6wf5R0wcRrKNzYEaEz5keTFbJFE4+uIMsSOUvHcHuo+Os4OFVgJlempyFGfdDD0HSG0TGLD1zbTMWstqLO5cpEvDpNIRdhj46myDXLOtY3BEgVK8iyzN881UtnzMMHNri5fv0Onu6bpfdYBrcmc2vPz+JVHQ7u68PrMdg9XMApFHj54AAKNt9/rY/7rt/AR2/o5J/fTLFncI4TiQy/fe86MkWTf3tlqOZ5yLQcHt43TkPAxa7uGA9ubWJTU5DXB+ao8xv8w3N9dMS8GItC50S6xPfeHOWXb+usmb1nO9X28h/uGyOVN7Fsm5lcmR/tn+CXb+uiOeRmXX2QR/dPUe93EXRrnJgsUSlm2dy9lmQuz7Hhasg8VlAZq3g5VWcIZdOqth6vsml2fK60EJIpsoRLq7YDHxnLcsfGKPUBg0S6hN+lckdPHYcn0ks2DJ/8vvxw/xhdce9CS/JJfpfGjs4o17SGKJkWXl1d9ZwEQRAuBBGUCYLwjnX6C+fFTKs6L0MEZcIFM3kEDn4XJg9W/7thC2x8fzUgO0lzQ6TjUpzdFcO2HYplG5vqkHdDW/4Fk+u0wEaCaoggSxTLFroqoyoS9SGD+pCx5IWXbTvMZMqYloMsS9i2AxIoisz4XImIX0eSJBTJIeBW0TUZXbEJTO/BfPlLSFYO3AoYAdj+M9C+CxSN1di2w2uDs3z95aGFwfKKLHFLd4z3XdNE6Ezt4dlJeOlvakMyqFZfvfJFuOOPwHXmtthSxSZfMsmVbDRFwudSFoLEp45O1YRkUG0v+/ZrI6yJeelpWCXctU0oLvpcbx0DOa0akgEsqi2ayZZ58kiCtVs9rHirbQvZXrllsDHoWqiGOheD0zn+v8eOkS2ZVCybvqkc6aLJ+65pZFNTYOH2vzGU5LaeOrob6kh3PMCQbxcT6RKSz+H+21qoWA77x5K8cOLUz6Mp5OJYIkOhYtEUdHHvpnpifoPBqRzHp3I8f2KK37lnLUGPXtOGpqky3XE/3XE/lu1gqApf3T2IZTtIEszlK0R8Ou/d1kTcazA37ebA4UMkZlOMGV2ETl5R603VatVFPLrKT17XwueePLXQ4KT3bWuiLbK09btUNtk7kuZH+yc4MpHGceBD1zXTGvYwMJ0jVaywa22MsmmzZ2iOBzY1MJAoki9ZyLKES5dJJEvIssR7tzTz0IEx3relmZHZEqmMRa+VR5YgHjJojrpQ3D7G1Bj/8tgJTNsh7DUIBgL8rycOEfYaKIrCZLbM+gY/v33PWizb5tnjAVS5+rg+fcFGQ8DF/tEUzxydAmBT3OCatWv48cEEXkNFURQMXePEVI6WkJuP7erm4EiSF4+NogA3btnAS28epLWxHtkboSAZ3NFTh+3A4fEUr/TPUjIt6n0GO7qj6IoCOFiOw2sDszx2aIJrWoN4DY1NTUE2NQX5zp4Rwis8xvePpJhIl2p+FhOpAv/xxigeTcUTVClULE5MZnEc+OarQ/znBzfSnyjgONW5rG5dxpZVZJePwekyt2zbRP9kGjVQj+IJMZoqcx0wOJPj9cE5Doym8Ogqt62L0dMQIOiuff5K5cv0JvJE/Rp+t8pUtogsybTH/UynygxOFdjVFWMyW+KOnjhtUS8/3D/OSvonc8zlykuCspNcmrIwl00QBOFiE0GZIAjvWGeqyNBF2+WqyqZFpmTOr4Rf/QW/cJrp4/DM/6xugztpdA9MHYU7/g+IdV+6c7uC5EsmI9Ml5rJlbKda9dUcdRH1a0uCruawC//8lsqTZEnCpUnUBwzW1nsJe40V2yMLZYu5bAVDldEUGdtxkKi2cEpAtmDSGNYpmw5js0UyRQu/kyZku2i67ufQ938ZiWJ1PtTLf1+tEGzYvOrt65/O8Y/P91OxTgVGlu3wzLEpIj6d92w9Q2Vacgjy08sfm+2F1BC4Nq16FflSdR5XbvH3TYbOBi+SZPPiiaXXf22jzk3hLN6BxyAToBxsZ9iq482xHJIEGxoDtEU9eHUXxDfAXH/1E10BXh1cVOUrydUSpnlvDCVJbm1jxQYrVxDDG8ajzbCpOYDXUCmbNiGPTmvYTTJjks7a9Nt5ogEdt14dlK7IErIkMZ0pUqw48/OhHAZn8qQLFWwbPnZjKzgS2aJJumjSO53lB/vG+LmbOzg0ll6I9PYOJ9ncHOTRAxP8YO8YhYpNsWLh0mV+7uYO7uyJU6jYC3PAWkIeRmbz/OED6ymYFk8eTlCxHHZ0Rvn4jjYeP5SgaNpEVtnyqcgSN3dF6Yx5SRdMbAc+/9NBFFni+HiOfMEmEm7mJ+9v4c1DBymagOaFrtth3btBXxp8dcf9/N59PfRPZxlNFfHpCmvjfmJ+nbFUAV2VcSkyhyYy7BtJYVk2dX6DHZ1hbu6O4DVUDo2m+N/P99Mc9jA4k+Ol3lmuaa22IhYrDvlSdfulS5MxVJmOmIfxVJFs0eKD17TQN1Eg4tUJuKsvR2wHJuZKqIqEhcRXX5vEnO+fvr67nn9+cYC5gknZkems0+mMebFsh2++Nsxv3LmW7W0h9o+kWVfvoz3q4V2b63nkQAJDVwi4VZ47PrVw+z98wxr6pwu82DvDkYkMsgTr6v3ct6mBH+wbYy5Xpn8yzY1rImxp9uOVTbas6wRvHf/wwgiGaxrD7aVUsfmpG1qZTBdpi3i4bX2c7785yu6+GSzbYXtbmA9e28JUukiubNX8Lk0vU6F6kmk7VObbUfunswxM55nJlXjvtiZMy+ZH+ydIFirVQJ9qcFqxHIrzM+9sqjMUJUlCUjQcWUX3uPG3bMRCIeTWaA67GZrN8xePHSO96PF/eDzNzd1Rfur6VvyuU+drO+BzyRyYyPKjF8YXKjtVWeJ91zTRGAqwrT2A36Uymizy2KEJZAnuWh8nkS4uCdw1RardnrrIVKbIaLJAvmQR8VarbAEKFQufoa4YrgmCIJwv4llGEIR3rMagC6+ukJtfVb9Y2KPRGBTbL5djWjbHEhmeODzJ4Ewer6FwR0+ca1pDhL1iAcIZ2RaceKI2JDupnKsOKo921QQEl5Jp2ZiWgyJLl9XMvmLZ4thYnkLp1OO3VLHpm8jjOG4awrWP3/qAm0/u7OBLz/UtzAcCcGsKP7urg6bw6gsSbKf6D6qzok5/AVe2bPwujYNDKWzHQVMcnFSCkg6m4kLZ+iHIjlXDn4n90PskxDdWU6cVvDE8VxOSLfbUkUluWhOlbrUtb8X0ysegen9bhWU7DE8XakIyqI6j6hvP0dHgJleqPXZPh8b22YcpvvkMRZdCOeJhLF2hvP5DDBS3cGiqwkP7xrltXR0f2N5MoH0X9D1VnZOVn8a2F82iUg2qtX9VsgySqlfblHOTS0+45914Yi186Ho3f/3EcQZn8uiqTJ3fRXvUw8/u6ECRJEqmxVSqRCpvYtsObkPG71Y5kcgxnizhMSS2tAYJ6DqDkwV0TcFQbTyawkSyzOhcAb9L47P39HAkkSI+304mSdAccrF3OMm3XhuB+bP36Aq3rotxcDzNM8enKZkmt66NYWgKqUKFj2xp45uvDvPE4UlkWUKW4JWBWdojHv74fZtq2u4WSxcqjCULCxsSXYqCJlWHuft0HXDoint4fSBNyYTZPGzZtI26mAKbN1ZbgFd5nqlYNmOpIkfHM/gMFbeusrt/hu+/OYZbV7m9p461dR7Gk9XgrCPm5auvDPH64ByqDLu6Y/zlR7cxliyRKVZ44sgke0dS3L2+nuz8cgxdlReeV7y6ypqoF1mBhoCBWZHQTwu83brMVKaIrMCunjhHRg3qAzotdUFaYxky4xl0VSLi0bFsh6JpMzxbYCpb4uM3tnG0PcuewTm+9+YobREP/+NDW5jKFFFlifs3NaDJMte3R4gHfZRthbvX1zOdLVE2He7d2MBfP3kCtypze08dqgRPHU1wfDLDr9y6huaWdv6/Hx8GQNEcXFQXhvzLCwP8p3evp87v4ve/vZeJRa2Gz5+Y5s3hJP/7w9vwnhburKv389zx5YPusEcn7NZ4uX+GP334MCOzBcqWTaFicWNHhF++vZO/e6a35nOsRSX0ulrd1FqoaOiqTEvEjd+t8DM7ukByeHM4ycP7q2HXte1hRuYKnJg81Yr74okZbuiIsLUlBEC2WCFZKON2yYwmq9V/J5+ZTdvhO3tG+aN3+fG4VB49lOCHe8cJeTSyJZM9g3Pc1BXlxjWRmnEY21pDyz6/HRpL84/P9zOXr1aPbmsJEXBr9E1lcXDwGSp3ra9nc3MA93kKzBynWrlcqtjIMrh0RbyZKghXORGUCYLwjtUYdPHTO9r5pxf6FwYLA7hUmY/vaKfOL4Ky5ewdSfL3z/QtbK+ay8NXdw9yLJHh4ze14XOJ6rJVFVPVAf0rmdhXDTjcwZU/5iKwbIdUzmRstkihbKEpEvXharXW23mBYNkO5YqNQ7WSRF6lUmY12aJVE5ItNjpTJOTVcJ1WHba9LcQfvGs9h8bTjCULtIY9bGj00xo5c4u1qkioilTzXLFYwK0xPlfC61aomA6yVSLmV2jK7cN++j+oKBZqbghUN1z7CbAqYBVBXjmgOzn/qjXiZlNjEE2RGZ7Lc2gsTTJfoWguf/sXeKIrH5NkcK1+HyvOV9Etx3agVLbpiHnpm6oGbkG3xlbrIMXjTwMQMFRShQrJbAFe+yp33/GfODLtw3bg2WNTrKv3s7OrG275Xdj7dUiPc1NDmf2jOgVLBfnUc4mmymxsDhAJheDW34E3v1adv+bYYPhh/YPQdReZgskP9o7hAB5DJejWiHo0rmkN8cSRBJbj0BL20BH2UimDx6ViO/DaiRSxoE48pFMX0DkyksW0QHYUhqYKDDoOm1sDrGv0kkiVyBRN+ify3NARYWSmgKJIuHWFa1rD/P2zfTXfq/s21bN/NElHzEd71I2uyJQsh75Ehpu7Y+SKJk8cnkSSYPEja3A2Xw0ROiJLvv8nJrN8dfcAw7MFLNvBdhy2t4S5qSPGbNqkbNp4DIW1jR5aIi5GZqvhTDJnE+yKgnv15+lDY2k+/9QJCpXqfWw2X+aLz/fxri2NxPwGu3tnaAm7UGWI+Q0MVWZgJk/JtJEl8Ooa79rcyL7RNG8OJ6mYNnesj/Ph61p4tX+O61sj+NzqfDXfqa+ryBIBl0LZdGpCMkkCw5B44ugEA9N5NFWiIWBw24Y4ewbmePb4NO1RDz+zo52DYylmcmVawh48hsKegTmQ4PBElv/rewdIFSo4Dmxs9GOoCkOzeR47NIlHV7hxbRTLdOibyPP6UBK3pvCfHtjIqwMzPHU0wU/f2EY8YGBaNj0Nfu5YHydXrLA27mEiKdEdD1CxHW7Z0Eq+4vDa4BwTqSKJdJGJ+X+ny5ZMHjkwwQ0dtZssu+M+6vwGU5nSks9515YGZvNl/usPDjGRql7nyefSVwZm8blU3rO1kc9N93L72jpu6oyyJuqlKeDB56RQJ97EmxjmulA92dBGXp+VGJ+VKFkWBdOkO+7n23uG2TeSAgd+8roW1sS89E/n0FWZnZ0RciWT4dkcxYrN118eon86R99Ulo6Ylw9f38oP942Rng9EFUnilcEZYn6dgfEpfmVDEff0a9iuEplbe3huukiu5CHk0UjmK0S8Og9sblhSGTyeKvAPz/YuVLh11XkpWRau/CTv8Y3hqcxh+5sZGiuQKVbnJJ7eZrsc07LJlyxKFQdFBo+hLPz+qFg2k8kyYzPFhb973IZMR9xDyCv+3hGEq5UIygRBeMeSJIkbOyLU+Qz2jiQZSxVoC3vY2hKiPbp6dcmZWPNtEbIkvaPedUzmy3xnz0jNiveTXumf5Za1MTY1XdqA57Ina6CsUnmn6CBf+rkr0+kyfROnqt5My2EgkSdX1OmIu9/S8OR03mR0pkg6XwEJQl6dpoiB333uf25kCisMdKfaUlQ2HVynfZslSaI96qU9eu6zB93zw9SHp5a+0NWU6uM8XzRRZQlVl5DRacxPYb/5DQAqqLgUA6mUht1fgAf+fyCvXoHZHnXTU+/HsSQmU2VM26TJ52XrDSF290/jPtNA/1BbdYPq3MDSY41bIdi66qdbtrPiHMfqcbh/YwN/O1+5cl1cQjpWHc6vyBI+l8rQbB5J0fC3bCSszPCLW8M8N65wbKrEM0cnua49hN64BSL/B6Qn2Gh66JhIMJI2sSwHh5NDwSXeu62p2hob6YRbfw/SY9WFGO7QwoKEocQcyXyFsEcn4NLwGSpbW0J8/uleKqbNhsYAL56YRVMkPnNHF/Ggm5HZArJu86+vD5DMV3DPb7FsC/twmQojyepcp4Mjae7ZEifoVpnNVShbDgFDR1Wrc9vWxv1oqsTkomAj5tPR5qva/vnFAcqWjUevzlb62Zs7aAq7GJjOsaU5wOGJzMLnXd8e5n3bmpAkiSeOTtIYcNMSdhHzu5hIFfnC0yeYy1cWfk6pvMkTRyZRFZktDWGS2Wpr49B0kbUNXsbmioS9OjGfgWmu8kMFcqUK/75nZCEkK5s2I7N5TNvhB3vH+O171rEm5uXZY9N849URblwTYWSuwGiywIeva8GtyvzUDa18f+8ojUEPnbFqs2z/VI69Q0k+eG0zIZ9GOr980Ot1qyiSVBPSGrrE44cnqAu4SBUr2I5De8SDS1PwulQyxQrrGvzsHUny/IkZJtJFHNsh6tP5+V1rkCX488eOYVsO96yPs7bOR0PIzZ89dpQtTUF2dUdJ5U3mZqe5sz5PnT1LV4OLnL8Dy+1hW2uAsmUzNlfkpb4ZUsUyhqJwe6efDmcC89nP061q/NUDH6NfauH5vjRuHX7ptk68uoLtwFS2yE/f2IpHV1FkGcdx8OhKdcacprB/NEV71Etj0I0iS8QDLn7tji7+440xDoylsGyHkEfjXVsa2dEV5YXj0wshGVTDKF2VKZs2zx6b4qeua+X3719PNmehSwoDU3nCmk0pNUGHy0A59AxWbwXJUblp56+xz9nI5EyFQsVCciTu3tDAvuEUAP/++gi/c986JGBnd5RHDyb4+itD+Fwqt6+t47a1MUaTecqWw/7RFP3TOX5mRzvffm0UlyYTcKsEXRpjk1PcZz9H8akfcnKaoMt5iHc1beVE3U/TEq4j6NbY0hKkKeRect/on87VtIH2NPhpyB5G2v03FIsZFL0avq7x11G66TeYSAVoXOZ6FiuWLQYSBeZyp+5vuirR1egl5NWYzVQYmqrdDFso2RwbzbGpzYfXJV4uC8LVSDzyBUF4R5Nlia64j674+Vkr7jgO6bzJeLJENm8iyxLxoEEssLS65Uo0lSkxkVr67vZJR8YzIig7E5cfOm+HN7++/PHOO8G4tGvuC2WL4enCssemUmXiQYOA59yCskzB5MhIButkZ50Ds5ky6XyFDa0+fOf4YkNVVq8SWKWj8S2rDxrYNkzMFRduh8+l0lHvRlWk6pD/+YqziGEh7398of1IlkA6OcnKsSBxEDa+b9Wvt3NNjGcOz5DMn3phOJUpM5Mt8xPbWoit1nYJ4AnDjl+D1/6xOv8Op1pJ1nhNtaptmdlU1fNzIDWCp5Cmy5CZIU6ytPQb6nUpNISDfPTGVh7aN05AMzHz1SqcppAbVZaR3BHat9yJcuJRpKd+TNzVwXvqtpDe+B4en3Qom3Z1c5/hhzo/9cCv3R3hqaMJXhuYo2LZdMV9PLCpgfWLFwNo7mqL8mlOtmNBNWDb1hbiKy8NUp5vt3Wc6rKFW9fF2Dua5MhkpjoQ3IHOqAd3k8pcrsKPDyTY1FzgrnX11Qow08Kyq7PoIj6dYsVGn9+a2hbxsK7Bz40dETy6QjxgkJoPsdbW+zBtm6/sHqyetiLjUhV+6roWBmeqm5fLlkVX3M+9mxr4t1eG2NwU5IEtDfxo/wQv9U6jqwrrG/z8xDXN3NIdZWAmvxCSAQsVZVCt1LumJVytTpMkUjmTdU0euuM+XJpSbWSdf+iUKhajyQLpoolXr/7MvIZKIl1iYPpUW27JtBa2dAIUyiZTmRLxgMF9m9ZSrFhc1xbm+o4QXqNaEaQqEp++rYvnj0+TyJSwHRiZzbO5JchsvkzMpzGXMZcE3romURfQsR0YnS1WW1cNGVOyiPp1vvR8P9vbQmxq9FM0Hf7bjw5Q5zOQJPiPN8cIe3Q+dXMHP9o3xkS6xEy2zGOHE6yt99EYdPHzN3cykynj0VSsisRff/Rajk1mODSepimg0xP2UR55FXv4YfQtHyfriZLIFDk0UcalybRHvezojPCVlwYJe1QGp5JMWjKb/K0EvG6+tWeM5/qOkDQaKdkqjUE36UKFfNmkbDmsqw8gA3/7TC+qIvH+7S08dWyKqUyJ9qiHkEvjvs0N3LO+Hq9LpS3q5dN3dJJIF7FsB6+hLlS7n15pJgERj8adPXEiPoNCxSLkro6ReGT/BKPJPE1euKM7zITkoqP7LgoHf4QiVVBe/yLdt/zfHJvUUWWZbMlibcRD0K1RNm2u7wjj1RXu2VjPXzx+jNcG5/DoKuWZPHuHU1zfEebnbl7DscThanVW2SKRLrK5JUAyX0aWJJpDLrrtY+QP/LD2vCUJa3w/Gxv3Edn2UepW2Uq7eFOpqkisMTKUnvwClcLJkNkBJCqZKTx7v4zZ+MewSlBm2w4jM8WakAyqb7YcH82xvtXH6MzSN0eg+riby5oiKBOEq5R45AuCIJyDZM7k2Gh2YZYRVnXGTzJXYW2Td8WNfFeKM3UwXCZjtS5/rTtg5DWYPlZ7eXwDtFx/ac5pkVLFprJK1UmmYBLwnP2fCLbjMDFXOhWSLWJaDtPpyjkHZUGPyshKx7wq7guwDU1TZVpjLmIBnfJ8i5nbUNCUanVIzK8zkay+eDXIY+dnkUOtOF13UfY3kzRzuGcPY4y9BMU5sEqrtl5KyARdOtmitVDFKVGdT1Qo2lQsG+1MlX3hdrjt9yE1XJ1JZgQg1FoNmpaTn4OjP4ITj6FUcvhNGSO2hcjGn6K/FFuoMNNVCb9Lxa0r3LuxgS0tQcxChshsN/9/9v47To77MO/H39Nne7/eD4dDbyQIEmxgF1WpLluyZNmRJVu284vjxHG+dhInjpPYsexYtqW4SHJky1a3KiWKFHsDQRBEb9f77e5t352d+vtjDgccCklItOo9r9e9SOzszs7OzszO5/k8RSmNo0gijged22/HeewjuGYVMdyCaZkYE88RWDzF2+/6nctmCHUmArx7Ty93b27DdT0SQRXtFX6fyYtyEiVBoLhMKgn4xOZN69L8zRNjlBu+CimsSOweSDJVajCZb+DhceNgGsvx8PtUPQT8gH9R8MnQ9liAZEilKxlgW08/0QvaCV+7tZ2/XhphY0fUz3cq1tk7mOLAeAFFFnnrrk6+dWye0VyNRFClKxHgmdFZMhGN9+zppT8d4n996+RKxpoqw6n5Cn/8wCl0ZSOh5cZRRfIVkp7nMb3UYL7UZLAlhCpDNChTrtsggOcJK+eDsmwRXSwbfP75aV6cLK5kV61rCfPuPT14FymGLyadW6M6puOSq5r86YNnCCgi//2+LZxerPHJJ8aoNh1SIZWfu6GHQsPihckCMyWDa3oTaIqveKpbDuvagxRrNtlyE9eFVEQhEVEIaTKe59GV0Tk6U+Lrx3OUDJPOeJD/ft8W5paaBFWZsmHyO6/dxP97ehwPnyzMVZt86+gcu3oT3H9sgURQoWm72K7Haza1c2Laz9nqT8skwjJ/9O1T5KomSzWDplElrgr8m7tvoSUeZqnrDh46meW58SVUWULARRYl3rCjg65EkG8cHOG7tslrtnawcfM9HFtY5OGjpwCIB5K8Y98GTs5X+OyBKaTl0g/b9XjHtd18+LZ1zFcM/vLhszRtlw3tEXRZwrBdvnpolmRQ5eb1GWzHZabQ4MxilYph0ZcOIQkCybB2ieIqpEq8a08PX3h+mulCg2t6ExTrFutawrxnTy8LpQbVWp2vvjjH9YMp2tt3I534NgCeWSdYn0IUBlfuXyzb5aahFC3RAA8en+eTT9WoGjbr2yJ86JZBPntgksYyb3VgvMAbt3WwuT3Cs+MFBA9Oz1fY3h2n3LCQBIFrehOoTz7OxemccqIba909TIoppiaydGfidCV80vZiXJhZJgApa46JWhE5EEHruw4plEStL2BPH8TIjtLWnAPaLlnPOTRMh3z58k25tutRadjYl/vhWn5/4zIZt2tYwxp+OrBGlK1hDWtYwyuE5bhM5w0u40qk0vBnzjXlxzvsPhPR6IjrzBYvP8O6sT162cfXcBEirbD31yF7AiaeBATovdEnykLpf7n3Lc/C0hjUlyDcCsk+CLdc8rRXmxC1LM+3W14BxaqJldJenvRZRqluYjoefa0BxhdWK99URaAnHUB6GcXZ9wpBEAhqEkFNuuTx1oRGuWH7WTcEiHXvodKyh+l8HXfBQPAUtOAN9O65jWT5KIL00oqwQs0iHlQIqBKG5eB5fgi3rogYpotpvwKiDHyFYsvGl3+e68DJr2PmJ5jufTslW0GXXDLV0+iH/pa27R9mrhleUdEFLtgHbdEARAOw/T548s8AkFID6LPPUjOrIIjYeoJGZVnZZZTpKB5AErZddlMEQaDlCjmRXrPOXC7L9EKOutGkNZWkKx0jkmqnOxFclevkeB6i4GeqRQIyO7rjfO7AFOWG5Q+0QwpDLZEVYuGavgSCJzBTbNCwbeqWb6e1BA9FFEmFVRpNl1REJaT5gd5NG2qGRa5mkquYxAIKv/MGn8D5H/efYKlmMpgJ8+Hb1/HoqSw102F0WbHluB6aLBJSZUQBIqpEQBFRZRFBYEUFFlQl3rKrk4AqEdEU3n9jL8W6xVdfnKNYN9nUEeNNOzt54Pgcn352gvZYgBv600iegIe/zwWgpyWAKMDnn5/m4ERh1X49u1jlrx8f40O3DtAa0eiNeFwTr6IYOSpDCkerUf7uqEFvMsDJ+TKjuSq/ets6NrVH6U0F2f/0BLbrIQjw9mu7+NijI5QbNls6Y5TqFg+dWOTIdInfuHsI1/MD0dtUiUxMxfO8VXbuatPm/qOzHJ0pccO6FLIo8OJkif/9rVN8cN8gxYrFWK6BIgn8wo0DfPbABFFN4V1bQ1wbq7A+UeMNbUGmyVB2dRRRRBQE2mIqkYDCYGuQF6Z8m27dtGmJaEzVihTrHh/5zkn++hfv5cXxEgjQEtU5u1glrMm8ZnOa/ojH9Te28LPbYzx+Jsennh7jjs3X8MjoGMslnKxPijQdl08+NY6An8coIGDYDp96apz/9qYtWI5L03bpTQXY16PQEZMZq0pMLDX59rF5tnRGeXG6xD/un1yVjdidDPCBmwcZzIToz4QYW84IvG1DC194fprJpTotEQ3X9bhtOEN/MsKL42V0SaTeFLhjSz+lep28kCDjby4Aol1HU0Qapn+8BFSJwZYI/+c7Z6hbNhvbo0zk64zlawy1hHnjjk4+/fTECnn++Jkcu/tTTJcM5ksGQU3Cdj1iAYW37OqkPSJjUWdh+XyUQ0nk9ABnU/v4pydGEMUCSpsCss61fQnecW03qfDqa2R/OkQiqFKomwiCgGxXCW28g6nITh45W6BcN2iLb+DOnXvpnHsIXbg8CXYOtuNd9p7tHAzTRVNE6s3VZFkyrCBLAk3LYzLbIBaSCWnS9xRJsIY1rOHHE2tE2RrWsIY1vEKYlrvS5HU5LFUs0tEfb6IsFlB52zXdfPyREcyLZllvGkrTk/z+st1+qhDO+H/9t/xg3m/+CDz152AUL9iGNrjx1yC1btVTdUVCU3xbmSj4FhfH9Qf1AGH96tRagniuJfLyIxJRFHglw4tspclzY3meOJujabsMZELcur6FmKpgWB6xoExCKKEsHfZbFAMJP6frB2RlDWoSw50hKg2Hcl2lufGtTBw7hiCAIPq3VM2mxZk5h03b3kj0Sll09SWozNFpNolqcRaU1CXNh76V81UmA8szZC2NLxa2c/DANM5yA2VXSyvv2TFMr7hAsqdtRUV3WbTvhF3vg2NfglAGaexxgoEgzVAHsw0JcAkoEm0xnWD+KJhV33b5CuGZDQ6eGefvHniWWuO89WxTbzvvuXM3rW0dfODmAT755BhzJYOgIqFKIpoi0hbVCaoScyXD/04Q2NWTIKTJxEMq+8cKTBfqxIMq9+3sZCgdRpUlWsIBinULVZIQPOhI6JTrNuW6TSQgEQlIPHG2wJeen6HadHBcj2RI4b17+9AVkQeOL1Kom/TEg/zx27ZTadps7Yzxl4+cXW6slPntezegKxKjuSqLNZNfvLGfREjh+GwZTZbY1RPny4dm+ZvHDyFLIj3JAO+6rpc7N7Tw3MQSY9kqXzw4zYdvW8fjp7KM5+ocGCvwq3esw7Q8MjGVTEwlEpAZz/lZYZfDbLFBvmbyq9dFMI58lXIpQ1WMoAgWN8Wy7LpvGzM1i+HWKHdvbOfMXA2rKfDw0TwDyQj/8d4k3zwyu1I4EdVl2mManbFWHjuTJ1tpcmq+yuu3nj92JVGAi47lsVyNvlSA9a0Rnp8sUK7bbO+J87ptHTx6aoEt7UnIgeV45IomNw9l+FcbbTLVo5S9TsbKCoF4DLlu8J3DC3z72ALbu2Jc15/k6EyZpyeyxAMqH9o3wPHZMo+fya68d6luUmjYGLbDs2N5dnYn6IwHGEwH2NqiU16YZTpvY9kO16R07nj/9XxnpEw4oK9YW7f2d3L/8flVn8r1/PZg0YOHTixw75ZW/tO+BJvMI4gTT6DPuVzbvo3y5n18adxlutjgM89Orlx3z2FqqcHXXpzlF2/q5z+9fhMf+c5pjsyUSEc0ppbqZMIaPckQ61vCdMfCnJ33ibT+dIhizWVssU5nUqcpyMiScL5ZN9JB2tOYMhtosogowTcOzyIIkA5ryKLgT0C4MJKtceeGVmIBZcXuLIoCruuRDmmENZl3XNtDW1yjJazTsmynlLq304HGePx6jhc8jHAXAh67NngcnVhcKfA4MF6gIxbgTTs7V3321qjOh24d4O+eHme2aFAL9XFIlvjGkyN+KYQgUK41ODOT4+dvvYv10daXuJr4v23niPTLIaRJSJJAvXl+crAlprJQalKs2kQCMqW6wEweOpI6HVcx4bOGNazhxxtrRNka1rCGNbxK+EmxJW7rivFv7lrPY2eyjGZrhDSZ2zZk2NIRu6xVYg0/AqgswNN/sZokA6jOw/6/gX2/vaplU1NEelsCNPKzhKpjCLlJCKZoxoawoz0Er/J7VmWRtqR2ifrrHFpiGtLLDC4KNZNPPjnKqfnqymMHJ4ocnSnz4dvWsaUzBvNH4dmPQ+3coFfwQ+uveT9E269qm68Glu1iOi4iApoqklElEmGZE5MWYrQdqgusyC5EES3dx7yhYteaJILq+VY2z4PZg3Dw/0FlHt12cQgxsOUtzMaup2Sdb1hLhFX0V9nKbZlNvjod4rkzU6sen15c4q+fMfnN17bQEnyZljc1CMP3Qvt2aCwhLB5DCS9BrJ9EeAg8SJZPoDYWQNJhmUB0ltU14Od4KZcpQfE8j/lijX9+8sgqkgzg+MQcX99/kvfdHWewJcxv3jPMdKGB47q8d28vz40vIQrCSjmACCSDKv2pMFPFOn/8wCmMZWL4gzcPUq05vFApkwqr2DakwgobOsOIAhRqNrGQjGW7lBsOtaZDQJbZ3BnlmZECpu0yVWjwJw+c5rdftwERkbdd083YQoOnT5dwXY9YSOXPf+YavvD8JJs6faXO3zwxhmV7RAMS77qul+cnC4zlahiWw8OnFtm7Lk1XIshc2aA1qjNTrLNYbjJTaJAOa/yXN2zCsFzu29VJxbAJKCKLVQNZZjnHS0UUBMqGvWK3vPxxYBJsjPCYs54HDk3juFXsYAvReIobnQoPnZkm15SQEfmV2weIagqeqNM0XVRR5D3X93JivsLN69PMlQyen1hClUTedV0PFcNiZLGyYiWuNW0Wygae55EKa8SXLaxN02E83+APv3WKTERDVyQ+e2CKodYQv/PaTTSaflmO63ks1SzevEmismDwyTMhphZHCURTzNpN+tJh7hxKMFUTGW6L8m8/d5i6aaPKItWmTUCR+N3Xb2KfmOGLS3lqTXOZ1BcoNyzaogE+9dQYsiiypydKc2ML0UCaQrWBCLTpEs5SkXuHkzxQ0Wh0JLlrKMbmxCJDQzZ3tUf4f8dt5somHr7CURAgX2uyM2VRfP5TGAtnkUQBWZVwKt8lOPkc79v37zkxX8FxfXKtJxFAkUXyVZN8zeSFqQLz5Xa2dsX5w7dvYyJbZ6bUYFt3nJAqIYsiu/tSHJ86XxDhefg3Ip7H7JLBzu4kQU2iZjh4rZvJyh3EgwqaIhIJSUwu1RjP10mHNVIRFUUUSYbUFbXmqYUq/ekg5WkLx/W4ZSjDE8uE4+3DLezuTxK7qF213nMrj8y38M3HRnBkjTkgXzHYPZDmxmt38dSET+olQyr5apPxXJX2eADtFy5b4gAAfmZJREFUguKSda0R/u3dw8wWGxiWyZOjRwjr/vnoeh6iKKBKIt86XWXnrjQdL3G5CmgSqahKtnSp8kyWBCJBmZgAdcOmWLPRFZF606FYswksk2jnMLtkEAlIJCM/3hOia1jDGl4Z1kY8a1jDGtbwCqErErGQTKl2eVVZKvKTUSMuCALr2yIMZEI0TAdFFv0w7DVcPcqzUJkHBIi0/cuROcUJaBRAVDBTwxhKnEAzh7J0BgpjUJ5eIcoapoPnegS9GtGRz2AtjuDoSQS7QdD6LPLeX0ZM3fCK3rZpOZQbDsXl9rqOpEbNcChdEE4fDcrEwy9/u3F2sbqKJDsH03b5yqEZ1gfLqE/9GYgK+e67MOUwUWOeUPYFOPw5P9Revvpz0HJc6oaDaXtIoq8aO1fM4boehZrFdL5J3bARRUiG/SZPSRQwbCDS7rcy2k0kUUQKh3lmssSRF84S1EWu7U1y47o03ckg5M/Ck//Hb3LEH6ipzQrNA5+i48YoVWU7juvbSztTGqL46rLvs2aI/WfmLrssX64y3ghyqVH3MhAEiHX6fzvew0ShweMzHoePFxGAXX2v4aZOm85ECJQA5bpFoWqRK/tthsmIQjKkEAsriILgE1J1m8WSSbZocdOuXTi2wbeePrCKMDtwaox7dm+kqz1IPKiukC49qRA9ySAPn1pEl0WCqkQsoJAMqcRCMr//zXEMyyfpdnbH6IqHGFusIwoCiZBKIqwgiAJjC3WGu8JIIozPNZYD/QXG8nXqps1wSxw8ge+eXASgbjkcniryc9f38czpIqbtIou+ui1XNqnUbX52Tx8n5kt87NER31oribx1Vzdff3GW8XydvpQfqH54pkRnyOVP7wxSqXlURIk/eHyeuumwqSPKUGuYF6eKbGqPIQsiqiQyuVTHcT2+fHCaiK7Qnw7xvr19BFUJQYCNbRFaYwFM20GTJTpiOh6wWLUoSRvpW+/xgf4N1EwwBYX5Uo0HT85w84YOnh6vcN1Aik88OY7tuLge7OqNs6kjyqGpClXTZqZY54bBNNpy6YHpuFQMi7s3t6HKEifmynzp4DRLNRNJEFAkgTfu7GRXd4Km43L/0Xk+fPs6ppbq1EyHuze3UjFsvnJohvfe0EdUl6k2bTRZQhNs/nz/HDP5MtGQhpxowZyrEA9pqMEoN7SHGM3VuLYvzmOncwCEVJk37ehgrtQgFlR5w+4hNNHlwSOTBFWJXNWk1LD48L4hQqpEZyKAKML4XB7dLmF6IscbcXqSQVo9eM3GFGUOYT73V1SCQQIO9BgCv7/7vdzf2MCprMGx2RKG5bKlI0aqcoqFxbMAy1Zb/3x2jArdcw8y2f4eNrZHGG6NUG76LbAD6TAI8MSZ3IqqOxPWyYR19JkSMf38Nc5XoZ5X8oq+tBXwkEUPyTGQFJ3Q4PVY699ESEwyLPnWcsd1iQVlNrRFV/LVADrjAUp1C9Nx0RWRQt23BV/fn6IjrrOrN8Gu3gT96RAR/dLr7Zl6iPsnJQQthIyAaXoIosiB6ToDnQLpsMqGtijZapOvHJ5l//gSGzui3L2pjfWtkWX1ISvn92OnswiJXpTSDHKz5LOBgogQTFLXMmRrNh3JK1+qREGgK6XjuB5LlQtaVhWRgbbgisV+XXuIWtPBtFzOztWJBORV++UcFkumf734SZkZXcMa1nBFrBFla1jDGl5dGBV/YJ47A5ICmWFI9IH8Mu1tPwaQJIGuVIBao7oyW34OyYh61Xa1Vx22Ba4JcuBVqQSUJZFI4AdoMXDsZWWOC8EkqKEf3Hu/2rCbMPYYHP4sNJdn/LUobH8X9N3yPRE6L4lmhUZmG8fDN/Dw2RJLVYP2eA+3DdzCcP5BFLOGabsUqhb5sknVsAmIFh3X/Gscx6FRb6BIEHaKhE99wSdAEr0v+ZaNpsPZ+foqO7LjeqSiCr2ZAA3LJRqQiQblV1RycWiqcMVlM0sNnMV58m038WSllccPZakbNVoSndy7aTvbq0+glach2X/Ja13Xo2462I6v3Ahq0spgrNF0GFusryK/VVlgsD1EPKRQqFmcnqldsC7IlU2qhsP6jiCKJGA7AihBUIKIKnz80RHyNRNZFgg7MgfGC6S9JVKtFsHqFPTe5DdiVucRBcG3Ocoe1umv0bFnE6IWJR5WLslIezVQRceWdHAuJSQRJOaNV/aehuVQqTsUqhamvJOiXqLinCFf8o/1B16scLClnV+/byfRhs2Z2ToLxfOEV7ZkEglKbO2JEtIlJrKNFcXHYqlBrlBDV2XedOsNfPaBx1YsoqZpreQrXYhEUOWNOzq5YTCFYTk0LIdnRpf8z2zYZKtNXr+tjRsHM3QlAnguhFSRkYU6huUH04Nv8zMsh2zJXCHW3OXPG9QkorrMfTs62dAW4chsiWdG8yRDKosl089kEkUkEWRRQJX9soN8yaLWtPE8f9C+riVEWJOZKfr2t7aYzsa2CB/eLhI5+mnKXz1DVyLIJO380V2/woSdwEMkHlDwPIHRhTqeJlJruPQnI5iuQ61pM19uMpar8ffPTPBLtwzwpu0dfPPoPN84PEcsqBLWJDzg+oEU3zw8w1LV5A07OrllfQuLlRqS6NISDfPuG4bJN0xuGtJ46PgCr9ncRjqkoS3nqj12Nku1YdN0HDpjAU7Mlnno5CKn5iuENZl3XddNOqyxUDa4/8gcfemQr7RyPPozIZ4bzaPLEmO5Kps7YvzZQ2dW2eIG0iHetKODWtOmIx7AwydWl7wm63u72bMtQsUSyZkyd+9cT77a5K8eG2VjZ4JnRpcYSIf5Vzf384Xnp3n3nl6+fGia1miAbZ0xxvN1Ts+X+W9v2E6H2uCNG6NMVeKIoojggeiJDARNNjsPMXP0MSxPJLjpXvTW16GGIqgBHa2th/xkhnypSF86grTpTsRMF6/T02xohXfs6uFstsL1A0lqh/+e7kSQbLWJvHzNEYBESCVUPMnGzQKOEGWm0PBJJ0GgaTsgwOu2tRHRzqkx/WtYa0Tn5/b08vjZLOP5OpIooCkihuUSCyg0bQdJEhGA1qhGMBSCe34fKdKBJMmsnqaR6FdErulN8OJUceXRqK6wuSNKtmpyTW+CJ87m+I+v3cj1Aym6EkFuGspc8brguh6Pnc76VuvUOnBMglWPqmsCAo+fzvGhWwf5/MFpjk6XUGWRmK5weKrE8dkyv7JvHdu746vWKQqg6UG2DOwiokk+6avI5GsWx2YrvJK5BF2VGGwL0p5YPSFyYYGIIovEZZGaYRMN+iq8y9k1Ldtd7t1cwxrW8JOONaJsDWv4EUPZsFgoGbieRyqkkY78GBFMtSw8/ym/7e8cBBG2vBWGX+tbdn7MEQ3KbOwOkyubFGsWkiTSGleJBxXUV2qTch0oTftqI8/1VUbR7u+dPDFrsHAUzjzoq4qSAzCwDzIbXhXC7AeCpTE48TWYeR4cC1KDsPnN0LYNpB/Dn6qFo3Dgb8/b8QCaZXjubyCYgo4dr+rbWZEuHvKu48vfPd+yubBU4vCYwHtuuoubo11kSybHJpYtUZ5Df2uIiZyFpojIokbVsFloRuna+gFSlQnElyHKFkvmJZl9mZhv/SrULFRZRBRfuSVZfIknBjWJuqfwmfEoh8bGVh6fXMjzVwt53nPTXvbZzUteZ5gOkzmDpYrpCxGAeFihJxNAV0Sm8galZbuNKnk4iNQNhzOzNTZ2hZnOX77UwjAdqoZDW1JnYqFOOCAT1iUWKgZtMZ1C3USTRXrjKm/LTOLt/3uKUoOgO+ef/9vf6Q8m82cQBQFVFlDNLMGQhRC7fMD91SBbMZjI18nXTJIhld5UkJaITkBTkRLdOPnRFVUb4F+nEz2k4y9f1tFoOpyZq+O6LjYuFcMmWxHo7h5G1kM8c2ICgklyYphDcwbbOgKrSDKASEAiE9XIlpsUaiKiAPGQ7FufVHV5H9uUGyrDvZ0cH/OtooFQhFDw8m2epbrJYqVJ1bDZ3Z9kXUuYrx2axXY8/uO9G2iLBjCaHg3Db0+M6DJ7h5PkS6tLKGzHVxGu7BqgM6HTkw4ykzM4Ua2RrVn0xSNce1uC/nSQXMlBFHxdjypLyKJASJWxHJdS3SYd0nntljbeubsHWRBxPfjCBzPkqk2+9PwUgmuxVK4Q678ZpzyDFWrH2farPDhu8NjoGcqmwPUDSe7c1I6meeTqDYKKhK6I6J7EnoEUXzk0S2dcZ1dPjGLdpCWis28ozY2DKSzXQ5MFepJhFElgd28SRRLIV03+y1ePEg2oLFWaxAIK79vbx+bOOE+PLPGGbd2ML9YplBw64jrBgMim9ijfPbmI53n0pIMMpkPsHUxhux6i4DFdMOiOh2iaLts64/zZd0+vlMNEdZl37u4mV23SHgswlqvTlwqtFB8AjOZqHJ4uccdwCz0ZnbPZCkdmazTMJq6eQRYUDkzMMVJyeOzsEvft7OLn9g5yar7CG3d0ElBEjs+W+fkb+jizWOGN2zsZzdZYKDXoSgR4z3WdjM/M8fD+GWJBlVu3DSHqcYpNF12CRtOi1HcfRnwvgqwjpDsZLTT47tN+++et629i4G230f3k70HPHgrqZgoEKdRNVFUjoEjcuq6F7rROOKgjRzVaohqG5eJ5HpoiEVAkJEmiJoTAayK4EqNzvm1dk31bvCyKRHSFmmEzmTUonjsmHZGbB1oYzNRZrBgkggquB/GASr7WJKzJZMIaiZBCKBIG9bzl/mJossQbtncwka+tNMcCRHSFN+7o5J7Nrbz92i5C2iu7N7Fd9/x6RBlEmVjIJle3cV0Pw/Lt10enS4BfHnQu78t2PL7y4gyDmRDhC5Rq3ckgtw5n+MLz0yulBgDbuuLcu7WN1ld4vZQlkWjwyvdD04U6h6aKvDBZQPAErutPkQlqGOZqtiwWUl7yt2oNa1jDTw5+DEcfa1jDTy6OzpT43IEpZgr+DVMiqPKmnR1c159cld/wI4vRx1aTZOATQUc+75M3nbt+ONv1KiMckAnpEl2ujiAIK+qUVwS7CWcf9K1i9vIgXFJgwxtgw+uuPpTcbsKJr8Kxfz7/WGkKJp6Cvb8GPXuubn0/DJSm4bE/hvr5sGVyp+HxP4ZbfhM6dl72ZZ7n33h7rocs+2qHHwnYTTh1/2qS7Bw8F858G1o2gfzq5ZzM0MLXjh645HHX8/jSsTIbtic4PXteCZmKaggCaJrIXMkgW20S0SQ6YzplW0QL9/FSlIlhOeTKTVRZIBpUEAV/1r5ct5jINUAQCOsSubJvU+lvDb6sqmxXb4KnRvKXXdadCDAnRTg0duySZR7wtRfn2LRx0yrboON4TGQbq+w2HlCo+nk7PRmdSsNinTaHMrsfYfEEhFI4vftYkPooN2wM07ni9hZrFv0tAZy0by0UzSoR0ePO4VZes7WN0wsVdqVMxP0PYrsOdutG7MAQ8tRTsP+v/WO7OAnOMomkRRBeBeXt2cUqf7WsajuHRFDll24doDcZZHNfO4eRfILdroOkghomHI7Ql37560+ubFKzTB46ucCJ2Qqm47KrN8G1vQmG+9dxMK+uWMbmSgYtgSayJJCO+u2eiiwiSwKnZ2qYtkdQlzCaDsmIH0ZvmBayomJbJtlinQ193Rwfm0JA4PU376Y9nbhkm8ZzNT711BhTS+cz8nrTQT64bxBdFkkEVAREqp5N0/JQZL/d0sOlK6Ph2AJhVUKlhm2YDKQcGpbKVMFFQGC4I8LhsTIe/nEuiQK9wTo91jTtZ47SYosMdN3ErNjJbMXGBhJBDcf2LZLJuMK7r+ujvJSjN9hAEjyadoh0JMPdW9opNpokwimmSgUGbvxlmolW/vG5JR47uYAgivS2t7KpPYbgecSDGgIimaiGLAjYjktLLMhbdnbSlw4zWzA4PFEhFlTY2ZPkoZPz/MP+SXb2JAipPgFRa9pUmzauC//1TVv56ydGKdVMIrpMvm7iADt6Eowt1JFEiOgy8YjMP+6fZDRXI6xL3DyUJKwp/LdvnODIdAlBELhhIMkv3NjPdL5OvekxXajzgZvW8c+HppgrGbx+ewdfODiD7XqoksB8uclbdnXytms6mSs1eWGywLHZMi9OF5AkgbOzZSpNixenC+SqJumwxo5ujT3DHQRmygy1xfi/j47gAcmQH3QfDSj84k39bOiI4HoutgfrW8K4nkc6rHJ2scrzUw2sYpPOdJLRisTp0QUUSULAY7gtiuN6PDYmoigePeUCIVXk9HyJs9kaXzw4zduv7ebnb/pPqLUsh2fhKy9MYNgerhJCVyTu29lJVzJAdPM98NQpAIIXX+4HbsPxREYX6lQa568zTcdjZL5OSI365G/RomacX67JftPk1vYEmgZBRWEqa+C4HomQgiQIhHSR3kwQx/VomI7fyHkFcqc/HeI37lrP0Zkyh6aLPoE8mGbdRYTVy8HzPGqmw43rUli2y2zJv78JqDK9qSAzhQa7+xIcnikhigKZiEb8ojzEiZxP7l/4vgFF4qETC6tIMoDDM0W6kgFet+37jzMYy9X48++eWSH5TNvl4ESRvevS3LG+ZYUsk0WB5E9IxMYa1rCGl8caUbaGNfyIYDRb5WOPnF2xewAU6iZ/99Q4QVXimt6XCGH4UUAtByPfvfLy0Ud8wuMnZCZOEARk6Xv4LAvH4OCnWdUO6Fh+g1y0A/pvvrr1Fcbh+Fcvfdy14IW/95VZofTVb+erDNtxqTddyssKpEhAOl+1PvviapLsHFzbJwAzw7617QIYpsN80SRbamI7HgFNpCOpL1e6/5AJM7O6nEt2BZRmwKq9ukRZxcGOdIM7DWZlOcdFAD1OVUlTb7o0muevLS1RjbJl8ezpGYa0AgNuBdvSeTEXZ7C7i3jopW2vngeaIqDKEpPZxoqdRZYEelsCzC2dV2IVqhaJsEVr/KVJoIFMiF29CQ5OrLZgBlWJ123v5Pjkok8qO9Ylry06Knk7sIooqzftVSTZOWiKgGHbzBQaxKUS0pHP4c4dATzInoHxZ+jY9jbq4deiSALNK9SlSaKAYblEmjNEpp7AmniOgCDRMXQL5dBO/mG8wDMHJ3j/7rewSZpGPv4lxIblt6CqYRh5FFq3wMJhf4VDd37f52qxbvLJJ8dWkWTg/5Z88okx/t09w7z92m5qTZuRrAb4vyuxgML7b+qnI355tZbnecyXDXKVJhXD5tnRPCfnKtRMh5pp8+CJBY7OlPjQrYP0pIKcXfStncpy41xvS4DpnMGU0VzOR/LoSusslU2W8/1ZqpgENZF4SKO3LcV0rkTTMBBFkYHeXq7ZtoXpYpOPPHCaobYw27vi9KZCFOsmn3hybGWC6RwmcnU+d2CaX9jbiy7LHJuqYDv+aZGKKJxZrPDI6UWW6k2imsgHbh7EdiXGs1VCmkRXQmZzh0C+LpMtmbQlddriCqbrooga6Xoeb//naTYXoX0XT55d5P5TZ6hobTRs0c/j2t7J7RtaEARQrEkEp8Ajx4s4rsfWrhhtCoTkEBVBYqZo0RJLM27FaZQchjo04qEg9784yTt3d9MaCfDR756lULeQRT/kfjAT4pduHSAVlBGFIPcfWqBpuSiSiCQKHBgtcPvmDKcWKgRVGVEUmMjXOLtYJR5U2dYVY7HS5N3X9fDkmSzbexKcXqzyN4+PocsSO3viXDMYo9FwOTxTZCTrf68RTeL6wQwf+vTzeMD61gi6InFousi/+8Jh/uxndjJXqNMwXU5OV7lvRxeTxRp//fgo1aZNSJXpSAR43w29DGbCHJhYYqlm8YbtHXzw1gG+9PwMluNxaqHC116cBcB0XE7MlemJCrx9e4p9vWkWy01ODcb51vE8bTHfhlhqWHx2/yQ3rttJMqyxWDH57qks2bJBIqTwSzcP8KE7tlCqDREP6VSaFhMFE1kSCcgih6ZKBDWRpbrDsdkl5ism77i2i3ff0MfvfdUn6j9/YIobB1MEhAif338UAFFSEEUR2/H4woFp2mM6LT2bUTLDkD21+oTSorDuTqqL/nVZEv0SCrxzt0gCY4t1tnfHVpFk5yCLAnXDob8lQjggkwgplOo29aZDNCDTtFxGF+pYtocsCmTiKm1xbSV78WJ0JoJ0JoLcs6XtsstfDjOFOk+O5Hl+fIm66ZAIqdy5sZUnR3I0TIeorhBolXjzNV3sH11iXUsYXZEusS/6Tb+rMVtsYDoefZkQ+aqJZbvoqkgypDFdqDNTaDDU+spadV3Xo27ZqJKIujz5bNku3zwyt0pRp8giQR2eGc2xqydOUFQIBWR6MjphfW3ovIY1/LRg7Wz/aUK94CtNzCroMYj3XFVl+xr+ZfHc+NIqkuwcPA++dXSeDW3RH+3GQcf0j60roZ73iQ/pp3g2zrHhzHdYRZJdiFP3+6q7q8nmyo+AIEH3dZAa8hVL55r1sid9wuaHTJRZtstU3mChsNp+1RJT6U7rqNPPXfnF+RGoL0HsPFFm2i4j83XKFwTGN5ouI3N1nJYA7cnv37r2fUEJgJ64oJnxIgSSfo6c6/oh+6Vp/9yIdEC8+3vK8/M8z3/f5ICvVHRt37IqB0AQcS9St6mqSGl2mn3mI0Q9D1kETxDpaNRYLN1MIb6F1Eu8nyoJRAIKxyaXCZHlMO+G6XJ2ts5wV2hVy9hCqUk6oq5qELsYsYDKz17Xw7bOGI+dydJYDjG/YSBFfybM2cUKJPr94oJztkFB8AedkQ4kafUg0HQuPc8CmsBizWCqUCdfbRJXLLpb3saWlmsIHf478FyEQAy0EEFVoDuts1A0qDRWX5sjqkenVkIsVag/+ynMuRMryypPfAo1/Si/dt2vcmw0SvTk55mKdiAMvBvJrpOpnyU58RSsv4eVYWH39dB3AUluN31rtmP5RQHhiyL2jfLy73ndXx7rBkVnutBgvnR5u+hipclMscHWrjgfvn0d00sNX0moK3QlArRGL3/e1EybJ07n/MFkw2IsWyMdVnnjjg4eO5XDtB2ajk+kjeaqJEPnr/G9yRAdqQDPny2ttPtZjkfTcjkzW2dTd4jFkomxfKgsFk16WwIYlsr6zjTxkEQiLKLHMnz6mYkVVczxuTIPHlvgl/etA7xLSLJzGM/VaFoeE1kDEAhoAsmQQtky+dsnfAtvJqrw3r39PHo6i676Ad4lwyZXafK6AYEt8hJ2VKGitzFdrFGq1ZEEgYaeIHbL7xI48leMxPfytQdP4boeWjKCQRTL8fjGkVk2d0Xoksp85/gU3znkv2ciotPXv57FeYGA6lCuOPRlQoR1iaztW1oDmkowCO/ft4H1rVF+/2snKDUshltDpAIic1UHy3EZWawS0ePMLDUIKBKm7SFLgl/aATx5eon37e1nulDn4VMLdCdCdCWCiCI8P7HEUEuEwUycPYNp/uf9J5guGISWycxvHJnj125bx92bW3lxrkAsoFBqWLzj2h6+/MI0925tpz2mc3qhgiwK3Lw+zWS+zneOLXDb+lYWK008wLI8Kg1fxXYOb9vZyWK1yf+4/yS7+xKENYkHTyxQrFv8wZu30LQdHju9uPJ8RRL4szcPMTo5zR9+9hCObaLpQV5z7QbuWT/AR59cQJMlJEFgodJERGC+ZPDNI/N86IYWOuI6UU1htCBwZLJKXyZIsW6jKTLb2hKcnK9iWB53bWxFlGBbZxwEkASBTz3lf2/9qRBjeV/ZdHqxQrl2wW+atHri4+FTi+zuH0a54Vf9SIGRh/3rcsdO6LsJYh3Yc37pgN/BuZol8jxoXuae8Bxcz8/UAwjpMiFdxvM8JrMGs0sGiiQQ0nz12dxSE8N0GWwPrlgdL8RcscFItsrphQphTWFje4ShljC66t9zFusmY7kaJ+bKyKLI1q4YPakgIdXP2vvod8+uNGUCzJfLvDhV5J27u3noxCKpkMqbdnSyrSuGKoscnLx8HuVQa4RMZPV1qFD3iyBiukJEk/2svwtC9i88pq4Ez/M4s1jliTM5RrNVwrrMvuEWNrdHKRs2R6aLq54v4FtgFUngxIJv41UV8bL7bg1rWMNPLn6ER91reFWROwPPfNwflJ1DyybY/YsQ6/rhbdcaADAdh9OXaXs7h7miQcWwfrSJMi3iD/QLo5dfnhn+FyfJHMdF+lG+kbEbflj9lVDP+3aoqwqx92Dnu2H+KDz6P31CPNkH297p7/PL2f9+wCjW7EtIMvAzriIBmZbgpVaqFciqTwRegJphryLJLsRM3iAe9i1ePzQoQRi+B546DQg+kQHQKAKeT5AIEow85Kv+zllw27dDxy5oVsGzffIj2e8rDV8GnfEAkijgChJd6TRBVaZq2MwUG4RUibAuo8gClu0fD02zwVDzGMHmOM7SEnW9Dc0qkHIbRFNtlButwJUnUly4RK3lLR9rtutRbdjoqoixHLzuOh4uHpdqCFYjEVK5eX2G3f1JbNclpMor5Mi6ljCiHsFNrwer4ZPCkgJygI5kiNboeYLRdlzfMhaUqDX8UOaAJpKrN/jzh88ynq+jCA6eWSMeUPnw7UPcOHQvulOhuflnmSnYlMbryKpDW1wjFfED5xUResVpQuMPoOZP4FYXCWY2om67l9rxB7FME8/zaJbmaPNyRDtVxgKv53MH58i9OI1Ok3SslTdv/yWuZQalZ7evJIv1gL68v5dGfWv2/GE/zyyYgk1v8gfXashvzjz0T6BoIGn+NUMLw7Z30DBf+hpbW7aSRnWFRMhBkQQ0WSIRvPLrDk4U+NyBqZX9WjNtilmLzz8/zYf3reOx01lmlhrs7k/SkwwS1RVUSWKubLC5I0qxev5cFQX/OBEEfPWnKNDXEiBfMVksmliOiyhAIqwgigI1w2Yia1M3PH7u+j6eHMliWC7FhkXNdPin5ya5b2fnS35mx/NLJjpSKhNLNc5OlzBtl399exfx5gLtah3ZGkXtyTDXDOA6HlFdYl2kgXb8MwhnvooUSEH/68hJ2/jEoyexmg1S8Ri/8NqbUK75NUaOniEdDyOLEpvWJ3ECaY7NllmqWbw4VYBonQdfHEMQ/Cy+e66/hqmcheU02dClcd1AgoplcWK+zLGZEvmaSX86RE8qSDLoh7QPJCTeur1BeOZriJU88e4NVDtv5tuzBk+ezVGoWSRDKkOxIFN5Y2U6pmLY6JLEQqnJTMHgyy/MIuATLV2JAB3xAK4HX31xhpmigSD4iulUWOGDN69DQmAyazCQiLLp5jhThRqxkEJ3IshTI3m+/MLMihLogeML3DiYpjcZJKj5dnjTdgmoEoblH2+eB4mAQkciwHi+zm0bMjw9ksewHO7c2MLedRkePplFFOHOTW0oosDXXpzll25o4+kjp3jmmH+PEdFlsoUyn/7Oft5y6y7evL2FTz8ziy0KxIIKlusSVxz+5C3D5EpNssUmZkhkS1eU8UKDs/kyEU1hIBOmOxUgHdEIBSSKjSZ/8sBpnhlbQhIF9g6meO8Nfcws1dnQ7rc17h1MMZAJUwlrOGaGY/N1TG/1/VmhbvlEVrgFhu+F/lt9okyLrCjrMxG/Pde5jGo1GVKv+DsmAAFNwsXFcT3KDYvpQp181SeVokGFk/NlRhdrZKIaWzpi1JsO9aZD7KKcrtFslT/69imeG1taeUyVRX7znmFes7mVmunyd0+Nc2KuvLL828fmuW1Dhjft6OT58aVVJBn41xfLdak1HX7ndRuIBlRSYf/6PJAKsac/ybMXvB9AV1znTTs6KBv+78q5zx6/wLPqt3pesB8ECF/hvnip2mRiqc58yUAUBLJVg6MzJUoNC0pwZqHKvuEMtw5nLrv/z72f47qE1lRka1jDTyXWzvyfBtSy8NSfQ/UiK9DicT94/ebfuMTWtIYfLBRRJB6U4fLxPAQ16Ucnf+lK0CKw6Q3w5J9xiWJK1qFn77/I2zZMhzOLFZ44m6NQM1nfGuHavgT9Cd1vgJT0H51AezkAkXYoz0CkDTO9BU8QUfMnEEpT/g311TY9Jgfgif8DY49Q6bkDoz1JuDpG4IH/BLf9tv9+P0Q4jndJkPeFmCs2Sa67F3niqcs/oes6CLeueqh6GSsK+IqDpFxDqFQhHPvhKmbbtsMNv46lRjA8xZ+hxkQxa9C+DXKn4MAnfLIH/MfiPX5+3fRz/uMtm2DgNui70VeavQQ6EgHeek0nuYrJwckCo4s1upJB7tjYQk8yQDqi0t8a5MxsHc/ziDt5xNoUI/EbeChfY3amSig4yB3r4mwqnSbVmgUGrvh+tu3heB4hXcawHFzPQ5ZEn+gQBWqGQzwkc07bFAspK61vrwS6IgGrB4ndySBv2N7BVw7NrlJv6LLIO3b3EAuo2I5LuW5Tadg0TJegKpEMqRSqJq7o8XfPTDCer6+MtQSg2DD5i++eYeM795EIRzk8WiIREulQLWxRZzLrEgsp9LUECJXPoD31R8iqhhfO+I2mJ76OHO8lvP2dFE48QbxjA7osoBz/DIoUIqxv5rreBF8vlPFEiXyxzCcerxB83W62n7NGNyu+PatZ8Unv0oxPkoFPoB/4hD8q7NgFI4/4BOGZ7/jlHbFuWP8aOPsQbZ2vReCKmlXiQYVi3eS7JxdZXCqSkE1qjoythHjd1nY6E6vvBUp1k28dPX/voCsSMV3m7df20BrRwRHZt66VvkwQ22wg1nPIhsCOtjSv2dxOIqgyl68SDco0lptHdVlkfYeOKvv2QEEQSEdUEiGZXMVCkQSqhkOpbiNLArlqk4bl0JEI8MatXUwvNdBUkWrT4jsnF1YaMTvjAXZ0xwmqMrWmzQtTBeZKBqosEAuL/MUjZzEsh0RI4eZO6Jp6mHSmHUWK45klerwiQmAjx/IesugyW2hCx50oi0eoFxaYeeQTdLZu4K17/hVfefYU12/byLeOZ6k4BUzL5Rfe8BokQaJQtwGR7V0JDNshX6nz5Ok5AK4d7ufWja1kYkEqXhRHlGlaAoIoEFZk+pIhBtIhREHg1EKFr7www/v29pFQPX4udYLGo3+PHcmQiMeoexovjM5xbE7lcM4jEVR5/fZ2elMKiZBCtmwyW2zSMB2ajsMTI7kVcuJcAsJ0ocGnnppgS2eMw1N+wLooCCiiwL++fT3TOYO66WJaflbU2fk6rVGNtoiO43ocnCxecow9OZJjz0CSgCLRmwqgqgIThRqqLPLBWwexbZfuZAhV8pWuX3h+Gsvx2NoZRZEl/vU/HqQnFSIeUDg8U6I9pvMz1/XQl4TPfcsnySRJQFNkEET2bN2EKYXJRHR+9voedEVAlSREPK4ZaOXUVJ5ssUE0qJFOBfnSoTniAQVdlWiYNs+N59jcEafasBFqAo7j8pt3rafeqFG34anxEn/8ndP859dv4vRClV+9fR0102EiX8dxPdpbkmzsaeX+o/PnSyAE6EroBC8kui5TZtQW1xnMhBjP17EcF8/zLd1hTWZLd5RoUEYWhVUt27oiULEsDo7l8cY9NEkkEVIZyVYpN+xli7TJm3d1cmSmhDHu8sDRBd63t4+OlE4sCHXT9hWlFYO5kkFPMsDIosrSsmXbtF3+17dO0pcKMV2oryLJzuHhk1mGWiIcuswxAP597ZmFCm+9ppNk6PwkRiSg8I7d3WztivHo6SyG6bBvQwvZisEnnhijbjp0LdtAN7dH6UkGaYlqLJYvvY8Ybo3QmbjULj65VOOvHh1jrtTAcn3VpS5L/PyNfRyaLFJs+N/TI6ey7OpN0JcOMXpRBto57Op5iYm8NaxhDT/RWCPKfhpQmLiUJDuHhaNQnPKVJ2v4/lEv+Iqq7GmfHGrdBIle//9fAoIgcPP6Fg5NlRAEyIT9WcZs1c9funkos+pG40cWHbt8leLRL/oDOIBoF+x6j5+V9SqjaTs8cHyerx6aXXksoTgEwjNY0xMoZsUnn9LrIT0E4g+5EEGSYf091FNbyAutGEIABAE1souUsEQ4Er56oqyWoyhGObjxv/Ld0wVq9QZtyT7u3nMfm8a/ida/D8Lfo/XSavgWL0mFl1J9vQQc18Wyr2wfsW0XJ9KJ3H8rjD26emGk3W9LvYjovFx5QpteJ5F/Ds58B4kqxNpg4xv8Y/KH0LbqWU2KcguToxPUS0UAQrE43f29xE0DYezR8ySZIEH7Tr+8YP6w30CohqEyB5PPwN3/zd8XkuyrzUrTvjUvEIdoJ0gykiAgIPDlF6ZZqDSxbY/JQp2xXJVfv3MISRTpzQTQZJGpnEHQq7FfHObYTJVb+iPoPeBIOmeKHjPeEG/0Lq/YM23XV/Q1HCK6TCoiUqxZVA0H14Wa4Q/oVEVcmaWXRYF0VL1imPQrhSZL3LWpjb50iCfO5liqmgy1RriuL0F/JozreuQqFicmKzTOKdk80BWRjd1hFip+m54ASBII3nIlp+dRapho4SRzhTo7YovIp7+BU5hAVEO0DtxOOXwDqtRKJH8IBm8Bq45XyyGkB5G2vRXMBkphjJaeQcRQFGvkcSiOkTcU3PrT3HrNfdz45h1M58uMLZkcGMvz4JkKwxtF9IXj8MKnfSVZLedb2Le81VeSZZctnaEWjFoVt2mjeBLKoc/4OXfgX2vnj8ANv0KbUGRje5TjlxnYDrdF6IoFeGZknkHrLJsWv4W9NIkciOIM3sWpcYeI1ks0eP63ptK0WSwb7GpXua3TJe4sEQzoZD2LR6bB9SSGMiHCpVMEz3wFKX8Kx4XWjm3YG+6jrg0vW5YE5ICM63p0pTVUWWJ0oU6uZOHhZxYOtgXpywQQBIHpfBNl2aYbUCS6kgHOzNR866brUswbxAIy772+D10W+Vc399EaCiBJIo7jWw+3d8UZzVfQZZFvHpvjQ9enGEzpKIJLQBEQ3Ndy9MwMVAzMYCeWGoRSnQMjJZZKNRzH5jdeswn51j/AOvsw2tH70bu2cMuWQbZu2sah8QXe1q8TlAXCuookuyw2ZZTlll7PFlAFiU0dSc6OavyXd+wlWB7BpIpTMYgFGhwuBvnWiQp1y+Gt13QxlIkwv2RSrFtsbUtw61ALD52c59YOm7mpZ+h4zb+nJoRpaDGqUhQlm8M6cYS41kl/Oki96fB3T49hOx6KJHH7hhZ0ScOwHZ46e/mZuGylSbbsZ8fphsjN6zLcNtxCezTAYtFCUyS6ox6xoEyhLlGoWTRMl/H8eWLB80Dw5YKAr9a5Y7iF2Uqdrxya9dVPnssbtrWTjAco1S2yFYP1rRH++31b+IuHz3L7hhb+4uERlnsg6EgEmCo0mCsZPDWaZ0MyRTSgc922DWiBMIbtsa49zeGpAp9+bIT2TIpt3SkEQeDsYpUHj88jeQJv3d1FUtEYz9epLZTZ3ZckVzJp2h4hTWZjOkhMbRDB8dVYGpyeXWD/6Wk0VWbfum7uHephoWxw5+ZWHjqxyJcPTiOKot9yKgn8zHU9vH57O59+ahJZFggoIndtbkNTXvqeIxqUuX4oQSQgk69a2I5LRFdoT2isawsR1CQG20OcnavhuB6aIjJbrZOrNllqmCyWDXpTfr5YPKgyXzJojeps64rz5Jks1/YleeJMDtv1+IdnJxhqiyBVPP5p/xQvThWpNm1enC6SCKm8e08v33hxlsVldVhAljizWAF8+6lzGXX642eytMd1Jpbql/18vgDs0ut+PKhyw2Caa/oSlOoWn356gmOz569ZpxcqnF2s8Is3D3D9QIp/ddMAn3hybJWtfF1rmJ/d00tQXT2UrZs2/7h/krmSb8c2bZem5f996slx3ntDL4+dya08/8xClft2dvJnD53Bvsiu35EIsL5tLaJmDWv4acUaUfbTgPoVZEqwHIJQ+cFty08yKvOw/6/8sPZzEETY8jZfdv8yg/Wh1jC/cGMfkiASdqsInktNaqNsOuz8cZnRUnQYugvatkFt0a8Hj7Sft569yphaqvP1F8+TZJtadd7TMQMP/D7N8jSSKvlS/fadsO+3oOvaf5HtuBrU48OUvHaizTnCS6fxPBcx2U81sBmica6y85JavcYX6zt46sDICvFSrtU5M5Pjvbe8kVuM4tVvpG3BwhE4+XW/lU8NweDt0LsXQpmrWpUsiYR0maZtEldt4hTAg5IYp9hUCGkysh6Ene/xc9bGHvctql27/aDz6KWKuEhAXqWaiasWiZEv4o48giQKSAHJLzl46qOw8+f8NtEfcIlEuW5w+ugxXNdZee9aucTpo8fYuPNaoo3i+ScnB/zcrfnlUPdzOXOC4JMhh/8JOq8Fq+6rgPNn/OfJmv+9bHoTs3WVL78wQyygEtYUHM/Pg5IEgS88N81gJkxLRKc7EyATVynPB/EEmXtiU0haP66SQfRsEvXjLEU3sODGL2m9NExnVTZcw3RpWg59LQEkAapNl3BAxjAdUhGFxaJJLCTTlQoQCXxvtxuu61E1bEp1B8t2iAQUhloibO2M4bjequKGmmFzcqq6QpKBb/Vr2i5n52oMdgQQhQvybQQBZB3B8gdUmqLQZZ9GPH0/bv+tOAP34IkCSjCM7NSYXKySi9xMWm0SyR1APnU/QrQDrzyDsDSON/kMkufgLY2jbHwj7sBtNEdP0r/rFqSTX4OTn6VeFUknetix5+3cPx/EqxfgiY+c/x02q/5v9v6/8ltrtShG/90sKn1+ccVkjUCzk87bP0L82CeQFo/5x4Xnwov/hDJwG+++fpjPHZjmyHQR1/P3webOGO+8tpuyYdNZOkTzyb/EOEfUeg7t5OjN/zPSd/MQa4WBWyEzjCrJvHNziD3qGLVCjrKrYZQFWuRR3t7Zz3P1fob1GYRH/jeG1SC6TIZhNYgaU4izWYZEkVqohRm7hZotEdRknj9bXpXJaZguSxULXRXB82hLqJTrviqwJx3g8EQZ1/MtvAFNIqiL1GyLTz89DiK0RXSuH0jjmALluq/Ea4srXNObxHEc/t2dvRjVBhI2Cg6mpWCJATYODzA2Mc+coZAJKaRicd6dyFAzLPpbI5zNVjg5baOHbmfH298GnkfWcPFEievW96B5JovT49REgUhIRVV07FIR14V0awZVVVEbi/zsrjSOGiOvtXFiuoQjyGS8IIOtOjfbEgFNI6TIPHQsS2c8SM1wKFQtpvMGd21sp+ksEb3+/ZyaLuG6ZcRUmtPZPAFF5t237+Hhs0XQNP7vYyNIgsCmjijzpSaffGKMn93Tg0CQc/ML5/577oooiQJ10+a29Rm2dCYo1WxkT6ZQtnnzoIk6+wzuqYMoikZ3321MqOsp1+3lXLvzSh/P8xAFgdaohiwJzJWbPHRikWRYRRLhjdu7yNcs/uvXjvuExPK5edfGFn7rNRt4aiTPupYwd29uZbHcxPM8fnZPD3XT4dR8mXQizpvvuImPPTpCvrJAIhYh+8w8nfEA771lI3OlJmXD5sGTC8R0hfUtIW4ayvDto/Ns7IwTC6rIokiYCm1pqFmgySatmsfBrMdkyUbAIx2SWd+SIjY5y3S+zMj8EtduaqFVFfAQuGUow2K1yYHRJVzAsF3++vExfv++LWzoCFOsW7xzdzd9qSClhkVUl684SSAKAq1xjXBAptpwsF2PkCYS0mTU5ZbgRFhmc0/YV1k2mizMGfz1Y6NYjks0oDCYCfPbXzxMOqohCgKj2Rq6IvJLtwySCZ8nvQ3bpdwweWo0y6Gpon999Txs1yNbafI3j4/yvhv6+NxzU7xhRweiIPDsaJ5EUOWmoTS5anMVmQVQNx32DqZ5ZnS1jfIcdvUmL2m2vBCqJDFbrFyyXn/b4J9fmGG4NcJgS5jfvHuYmWKDWtMmGvBzFSOXaeWcLRqcWTgfZXIhv1dqWDQdF1kSVkgx1/PY0Bbl128f4ptH5hjP+erH3f1J9g230BL5IWeermENa/ihYY0o+2lA8CUimQXBVy6s4fuD5/mWqQtJMvAHL0c+B+l1fv7QS0AVRTaF67ijj+GOPYHr2rR3bEcYupOAenXkxL84bBOMkm//uRwJFmn1//6FcXqhyoXREm/vN+Hbv4dXmsWBlUEicy/A038Br/kfEPneWp0sx8WyPUQBtJeoWn85mEaD0PxTSLVZJDzAw51dRFAi2OvuwgtqV7XuaamLp0++6JOygohPH/kNWl95YYYNG7bQ8jLruHSl+/395S1bv5oVOPQZ3xp23QchEHvFqxJFgbaESso4g3zkizgLvkKmrWU9mU1vQ0pu8RVietQnMl8BmRnUJLozASazPsGR8eZxRx5FBIKa6JOj53Dsy354cuylc4xeTbiNMgtz87iug6rpyKE4AFatiNU0WJxfIDz0GsRzxFikHaYPnF+BIK4m9mYO+uTJsx+H+vmZcOymXwAhyiylXou5rNyTRGFVFlixYbFQMlZu+HVFYkEMMRi2yQeuZyFXxnV9K0o8voeusIHJahWg53nMF81V2XCaIuC4ImMLDTZ2h6k1fRVQb2eIVEShNaGhyxIeHrXlwGVVfuWByK7rsVBqMrHQWCFFF4ommioy3BG6JDembrrUm5facgWgZjhIiCSCKuXGBdlqkgKCgOhahKnh1ufJDryNhXwF120iJPrA0uhKSBjlGo1mHdOep69lHeL1v4Jg1hCyJ8CsIay/G+/QP/rrrcwj7vo5eobuxjr0WayNb8GO9BEVddxaDuPEN3nLNT+PnD2yerJKvGDgd/yrmDf9FqPVKKVC2Z94MBtYto2oJ+Ca90N1zrcYl6bhmY+BWaOtI8Av3TLAbLHhNwxqMp3xgP+9z07iHvrHFVJdVDS6dtyF+PRHcYwSctsGKMdh6lnY9CZaNt3H9YkiL4y7fPWQQbYwhygIbOxt501by+ztKFA7+iCubSCIAqbjoQ/eiJ7ugsf/EHKnEZQAodQ61u3+JQptN7NUkTEsl1QIOpQiqghqNEWjuoQwM4uChaumiYY6CGgKrguyKNKZVIkGFBRFoNgw+cLBRUZzdVJhhamcwdNnlvi5vb3EAwHaExLtQZvC7DT1RoNgUCeRbqVRr1NYmEXXFEKRCIhB+no7oSyyWLaYm6wQDSiEggojuRqCIBJRVcK6jOeJ1CyPXNVGEFzaAiZht0Ay7YIg4Kgqc0tFtOoUkWCQpAO5J7/C0uiz4LnILUPE9ryHzb1DFA0/s+8zz80wkqtSbTqkgjqv29aG6TgEVQnTdnEcD9N06GxpZXwxhySAJwiYrq/eMkyHXMXl7m09/PrnDyMKfhum43qoskhUl3n41AKbOyP0Z4KcXajh4ZMD4koWmcpAOsyNgxm+dnAB03bpS0nsimZxH/ojbKtCQJWwHA8pd5Z1nTuobv9FsvUItwxZbOqIEVL9K07ZsDk2W+LW9RkOTCwRCcqIgkBEk4gGVH7v68exbD+jTpUlXNfjW8cWGMyE2dUTR1clPvbICJ7nZ5Dt6olz/WAKwwrymf0zCLjct3uQ41N5AoEgR2ZKnF2scni2ys/t7eMPvnkCXfb33dauOE3bxUHgrx4boSWq877dHcwZQWbmDaqNJomQyq6eFKmIx2KljON5bI7WiU4/zbuFF2hmVKz2O/nmyXG+fLKBYXvcsT7O796gUxm0ydUs5rwU/3jK4enRHB+8eQBBEDgxX+EjD5zG9Ty2dye4YSBFT+ryk6WCIBDW5Su2KQqCsBLWP12q8fdPj2Mty+72DWf4x/2TlAwbw3EZagkjCGBYLn//zAS/98ZNK+sJqhK267L/AlJLlkQCikTDcqg2bSpNi/ft7eWLB2cYy9cYzIRxXI/CoVnu2tzK5o7oKlJruC3KUGuEjkSA2YsKNdJhlRvXpV72fubUwqUk2TlkK01yVf97Ovf3cmhYzgo5lgqr9KWCKKLAqfkKHj5ZpskiqaDMUGuYjniA8VyN/kyIX7tjiGLdRBQFMuGruxdbwxrW8JOHNaLspwHxHgi1+Aqfi9GyyV++hu8P1UUYe+zKy8cef1mizCrOIjzxEYTCFCvpPKOPwMwBnDt+G7o2voob/D3CdX0r0MlvwtKIbykdvM3PHwv/4Mk88wJLn66IxBtTeKXzCrNVQT0TT/mqnaskyhzXo1izmM03qTdtJFEgHdNojakEtKuzctqOi1oaQbQLNPU0VTmO50HAraDZJdylU1iRFKr6ym/Oxmoqmqbzxj0buKYnjipCzXJ58Pgij56YIedGro4oq+Xh8Gf9ko/0kJ+TJCpQX/TtXYUxCOy4qs8dqY1h7f8TGtXK+e9k8SSh2p+g3vn/QWjDVa1PEpdn4XWJXMVEX5hCUgUUSUK+uFXRrPrn5w+QKLMsk1q1TrB7A7bngu1blIRgL0EBqtUidlc/qij74c71nN/ceA6ytpooC6b8XLsLSbILcfYhUvHrXnKb7IvCiuOSybiXYi6bIxqPowdC2JZJqbDEmK2zqWW11duwXLKl1RkxoiAQ1CQcRaTRdOhvCxJURYKajCwJeJ5HvVzAzo7gzbwAnovTuRMzs45gLPmyg5CaYa8iycAnvUTBt8toqkgsoNAe0xEEAdtxr7SqFbxlVyd//8zEBRYbAUFS2TvcRsCpMhNYx9x80V+ihWm6MmatyZyo09cRR6g2CbtRctUmJSOFbOu0pG8k2mGhVmch3k/x3t9i2kszuyQDAh0bP0xC85gfm6CJhWGG6Nr5AdrtcRTXXL2Bemy58MOD0jS1yCCl2fHlZVE0XWdzMoL42H/FnTuEiI3g2jD8Orj3f4Hq24R0RWIgc34SrGpYjBTr1Joy9rUfQls4iHP2YaI9W5FOfhXXWM6nsutA3H/R8a9Cy2aOZy3+9uHjuK6HKPoE5rGxWaZzJf7tWzqIuA3MFXmSjN6xER75HzCwz7eQihKiayO4BunGGaKuQm9XkMbYs5jHvkVYcVHjGbzO3ZRHD0JlBtkT0QZvxdn8dkpimE3dYaZyBvPFGoosMJatcn1vhmu6Ezw1mqfaaOAJvgLlP71hEwmxwex8gWgsTjwcR9U0ZpcaFGoeXjOEtziDrBQZWL8ORwuA5BHRbDYEi0QoI2sBJq0kz80JhDSZsCoymTWIRyRqrklMh4oJpmGRW6yDJNHSFkOLtZGwmoBLZWmBTPcwc4VpmvlpAlvvY9Jt5Znji9Qsjy2dMfZtaOHs41UUUWQsV+UvHx7hV25bhyIJbGqTGVJn8Ua/jHB8if7MMH2bt3JmtsK852e7qbKIrmskIgF29yY5MFFAVyR6U0E8z1cReZ6HKAq8bksH32CO+ZKBYTlIoshAOsjbrulmY3uMSsNmZ0+cMwtVwhqERr6BZZRxRWElrN8D3JlDZIZHubZvBwFV4uxilUdPFQGBHT1xbt/QyrauGIemiiu5hJs6ojw9kvPD7X05p0/oiz6x98+HZvjjd2znP3zpCJ7n501u7ojSnQzxh986RTKo0p0MIouwrSfBXdujGLbN9evSpCM6j53O8fiZHDcMpLitW0GpTNEfPEPWDrJlSxv3btlKWJXpiAdYqDTwBIO2RBhVEjk+V6E9EUAPyMRUG6cwSdmSyLbdAa6DO/4i17ZuJ7F3HQgiG5V55qez1DyNugu90jz/85YuFtR2ogGVB44v8MTZ7Mo15oFj8+wfy/Ov7xiiJ3WV0QoXYalqUjbOT1bEAgoLy4q+puVnnPntmR6FmonpeGjqsvVZEpElkeYF900BRaIzEeDsoq/AUkWRUwtVxvI1VMm/vrqeR6Fu8p1jC/zq7etWygcCqsR1/QkyEY1f2TfIockiz4zm8Ty4pi/Btb2JSzIPL4eXmzi5XNTCSyGqy2TCKtu64ozla4zna7TGdPauS/PMSI5MWEMRRGzP46svzvLI6SyKKNKfCfGu3T0MtqyJB9awhjX4WCPKfhoQbvEtHM98DCoXkAjpYX9G+oeQ3/MTB9f0B+RXQu0KA9xleJ6HO3MItzB16bJmFffENzAz/ajaD1kCPvcCPP4n4F6gyDj0GZg7Ajd8+HvOsfpese6CGxpdFhHquZVBtSgIvsDqHDzHb4e7SixVLM7OnX+d63jMLRlUGzZDHSE05ZUXBXi2hWSWWZT7mJ4v4Lr+TKogCLS39NHmmLhmBdRXrtjSgxF+5123kysU+M7xBZrIJBSHG9a3cc3GfgT10qDbl0QtC4l+Px/rqY/6ti7wbZCb7/ND6Dt2vPL1uS7C6CMoLUMY+34WWQn4oy3bQD7xWYSz34HUOj9/6yogSwKxkEIspEBVh5dquXyF2XSG6VA1HGqGjSpLRIISIU266lllUQkRbOsjShE9lsGT/CB+wWlglLKUQ72I4QTs+SAc/LRvpdzwejj2RV/pc6GqCMFvPKwtghbB6L2DRrgPW5DR3AbBheeQZ58jJhqIAlyuvEtXRDKR1cSXIAeoNT0Gt+zCcVxku44tJUh29qM2Fghg+CqlcBtIMt4VW8FAlARAoC2++j2a5Tz2/k/hjJ0vanBPP4DXdQ3NvR9Aj780hVusO6tJMgEUFb56eIYjMyWCukRUl7l1uIW7NragqxKrPLmrXiugKSLvuq4HWRR46OQC5YaNrojs7kvy3hv6cKUG2eIFzdB6AgSPdT0pKobLVN5GE6PYephkcolMswBegLIpMFUz6U5vpnzHH/FMVuGfD05zZLYECLx77xCv3dFHZGM7QdtBE12MwjyGPkzUu6gFVw36pG5pBlKDVM4VV8g6hFtZFy0gfPN38ZbGoW07TiCOvHQaTnzFf+3t//mSz75QbFDPjpCsT5KxKriyQqH/Ohod24k2J3FPfc7fR4B0QR6gk+gnZ0iczHtEQwEqtYa/cwV/J5erdY5NL3Fr+ybMiecBCAzdAvNHEK55n5+dNncQQY3Q3PwOpmsio0cmsVzoTwXpTPcjDVyLOvUo7vRBnIE7CbzmP+E5JnLTwH7hMyhjD5Lc+k6eHylhmC6qJGI6DpGgzIb2EBFdZVdPEsd1GcvX+OST46RUi6YJnW0JHEfA9hww63REBKJBnSkxg+yUqQUzfPSxaYqOiITAnT3QbR9DG/86TVemb+PdrE+mqRXmUSo62fAwT04mkFWdYtXh68/Ps7c/TqdlIisRKtUS5ug3EWf245k17K7deAN7yex5OxVL5suzKR49eRJRVrElnUdP5ehLB/nlfev484fP+ueH5/HMaI5fvrmH9OzDVB/8f4iCH17vjh9A0iMM3/6b1Jc8elqiNDyBB87ksU/7KqFPv7UdOXcSr/QiRDvJBQf5+qSKJku8fXc3tufy/HgRy3XZ3B7l9uE2cAWOT1VpNB0yMZV9G9Mo9TmEFw4jSQJ4YDk+Seq4fuagPLOfqraFf9w/yQtTxZU8wmfH8lw/kKI/E2JTR5SJvP/7ocnSSvYVgCT6f6rsF4BIosDIYo2A6pc+aLLEDQNp/vzhM2xuD/PmdRJDKZl0MsWkoVMxHERPJqzJhBSRX9xgI1g1NE0jf/wBlLHvIukyCcslFshQ3fUhJqweZgoGybBKVzRMvmKiaCIdcZ18rcnnDk4xHKzS1tLBgQkdOz9O01Po7tvLLjPMt14YoW659GUi3L1lK6VKDU/yiGfiLJoeZtVg/2mPkKTwM7t7+drhGYp1a/laZvHIqSzvuT6IeJXEzyoIrLrGOcsNsuec+h7+Pm3aDmFdpmE5K4UC27vjpCPqioLsHNJhDcf1mCk0GGqL8KUXponqCn3pEGFNxvU8tnXGGMiEUGSRe7e0YVgOu3oT9Kf9e7D2WID2rQFuHc7geh5h7ZU3nG9sj/L1F+cuu6w3HaRl+bfLMB1mSw3qpkN4WSWrXKbkqiMW4Jb1Lfyv+0+stPx6wHdPLvLze/toj+k0LIeHj84TCyjIy1lzo9kaf/nwWX7znmHa41d537SGNazhJxJrRNlPCzLr4Y7f9fOGzCrocYj3nq+jX8P3By0GkQ4oXUp0AdC25SVf7jo2wsSTV1zuzB5GqOdB+8GpYi6BUYHDn1tNkp3DwhHIn4Xg7h/oJvUkg2zrinF4ukTZsLGjXYiigt17E4XO2zBRCVOlY/rbyLkTL21Dvgyalst0rnHZZZWGTdWw0ZSXtwKcg+gYlIUoC0sLdLfHCbhV8DyaUoT5YpNgOEnKrgOvnCjblbI5MWWwtaeLza1B8GyQdJa8EAulOj2RqywwkDRfuXTsS6sfXzjq2//u+j3/32bdV+iV50BWfWVqtOvShtFmBVNP4fTsQ8sdRRh/HPDwem/E3PgWpNxx1GbJ/26qiz5B51i+CjZ26fpMy8H1QFluzAMg0eeTS+5Flrr27T7R01jybdGxnite86qGzenZGs2L8q0G2oJXHUSvBAK0RQQkKYOKiWPVlwPkZZRECwHbQtaC0H8LpIb8CQxBgp3vhTMPgFH0CTMl5Kv6Nr4JytOUdvwyY0aMhYpL3XTIhJO0tLfSkxggGApx8/ooj57KXrI9925ppyO2+sbfk3S6+wdQi2eQTn8TtziNFoqir7sRr1GGpx+ASJzmzl+kmtxGxZKJBGQ0RaS0HOZ9IaLB1bcTPvn/wiqS7Byc6edxJrfjRl+HKPrKM2NZDaHJAtKywsC6SCGmqQKfenqcqeXgaA8/I+f+I3N4nscbt3fQGlNZKJ5XaQmCv22y6nE2VyGiK7xrdw/3bm2nbNgEFYmORICAIlGpijiihiJZuB54kkBva4Kz83Us2yMWVEgEGnTY00jFUcidwZN19OQgTqaPmtLCqZLI/75/P7WmjSfKvG3PALdt6WN8yaRYtfA8j0RYoSPZjeHWsEJplHMjXfBtt6GMnwu4/l5EWfWPbzWMqKjo1Rdwo13Urv8tsoaKaXuEBxwycpnwwY8jVGYhet723rAc1KUThCQTJRiEhglaBCkQZsLs4MmlduK7/4Bud5aOM59B1MJ4gRRnu9/MYxNNjjxRZLFscsPWPahmkf0vHPIN455/PhxdMLl1cJ0/MSGAFEkhaN1w6B/h9P2AQGPXB3jgyDRfP7aEKwfwKnPgOty0ZYC33nofXiCEueE+ZgtV8qPz2EBUk2jb+T4C5XHMZgPH9TP3RBGCisS1AxnGFxucnG4gCr66uDOl8buv34Qs+2TOYrHJ7JJBo2mhKjIdqQBtCYWedJDDtTR/+92zuJ5HJBpBqGX52nQOe882dl43jCaJxIuHEZdOoFYXsbU47elB9rRJHMmLVC2XW4Z7aAmadCtpgrJD9oVvUD7xOKLgIlo1vPwXcCeeIvja32VObuXRk8fOnRw4y2qj8Vyd/WNL3NCfZCRb4007OtEViWLDwY7vJLBbQXrx04iehStIOEYV6/l/YOC6X+f4iMnnDsyAINCV0HnfQInS1z5KZ8j1A8xtl6QW5sN3/nviUYdEUOCXbhlkeutyzpOmMp0zUCUBFw/b8ZhbalINOmxIRREFF0EUcH1nKaIgoKq+is1KDPH4mRxnFqqEVJ9MAf85R6ZLPDe2xJ2bWnjkVJaG6TCSq7KhLcpDJ31ngypLiAjoiogsCmzpiLJUa9KfDlJq2AhAod7kt26Ms7n0CObBJxhKKYihFHr/a3meLUyXJN6cMGmf+Cbikc/hVhYR9TDRHT9LZe/PI7/4GepNh2ZxHv3AX7L+jv9GUQjz5MklTMdFFgXMUpOTs1W290Z5x7VdZPNLfOzhM4iiwPpMK3Vb4NuHpzkwqvPeGwc5Mlvmxg2dNGwRSY0iiQJlU0KT/LmeRs1mqW5TqFm8bksH/7B/YuVcfHG6yOvq7aTCqycUrgbdiSCtEW1FRaaIIrosYtguAUXC8zxUWSCia6RCCp7rEVIlbhxKc/uGVlIhlb3rUjx04rzDRJVEuhJBepJB+tMh+tNhFFlEXb4O9yb9soB/PjTNt48t+M/LhNjaFcfzvFW/jRcH678S9CZD3LWple8cXz1pEFAk3rqri7CuMFOo89kDU5yY9bMKZUlgd1+SN+3ovGQSqGbaPHJ6EU2RqC/bMAUBorrCgfEl7tjYwjePzJG+zPdQbFicWqisEWVrWMMagDWi7KcLwaT/t4ZXH3rUV9s89dFLl6kh6LzmJV8uCeLK4PBykCUR8WIC4geN2qIfkH4lzB6E7h8sURYNKLz7+l76z+Z47HSOM24nrXf+MV88Vub4o3N4roeqKFw//HZevy9IKr3+qtZv2u6qwOmLUarbpCKvnCgTBJFSU2RduIT3zMfwlu1OATXEwLa3kTdTJKVXvj6AquWyu11DOPRJf3Bay0JmmNSeDxLv2UutloPwVdg9BA9GHr78ssqc34RZy8Ohf4DJp84P8OUAXPM+6Lt5tTpMUqBtK9Ljf4x36oHzYp/DX0Qa3OeXLIgqTO33g+rPlY/Iuq+yWv8a0CM0LYd82WKh1MRxPEK6THtSIxqUEWM9sO2d/jbh+e+57k44+mW/GCCwrHRMr4frPnCJ3dx2XCYWG6tIMvDVWaPzdQKadMX8mMuhWq+jqSqObTKzWGBpcREESGVaybSk0FSNWsMgFND9soJzhQWxLp88O/1tf7s7dvnW5tQgda2VF8aX+OQTo1QuyNja0BHjvTfsYX08xZu2C3TEAzx0fIGyYZEKa9yzuY0dPfFLVAyCFiA0/jTWUx/D9hwkQURvTsK370cYfg1Cx3bqHddxNidSmzkGqQGankyj6TDQ6quQz5FlsiiQCK/eP06zjnv6O1fcR87pB3EGb6YhhZgvNFmqWL4SISDTmdKJBWUiuswC/oBQAJbq5gpJJghw4RXx0VNZbhhMMdwZRpbqLJSaeC7EoxLfODrLxFJ9xQbWkwry83v72Nq5mpCWZBUp3ombO4vgOkSCEtmKjW17CKKIrgoMaguIT38M7/S3/UY3zwNJRb7hw4Q33se3jtd9FYMgoMkS9+0e4vnRIgtFP/dGEmCuYDC7ZHDThhROSEHZ8R5fmXsuE1AQ/TKLrW8jKqX9SQp8i5LXNMlu/EUmZ5aAGgIeNSArywxd/x9InlOALqNZnCcog/PMJzFO3g+OhSeqSL176Lv1N/n7szYLp2eIaAK/cMt/Zkf2GxzreDN/+fA4hmlhpCKM5BqcnsmzeyDDzi2bOXj02Ip6JZZIU1NbCHVtRC6cQVDDUBxfJslAiLRzKn4TX/3Wch5fvBdBVti36xra27p4MasTbn0nWk1ECQbIZnPUDZtyUKaOQ29qEMnzCzyapovpuGzsCHN2rs5SddmCJvjKmsmsQZ8QQElqjM8bTMydz34zTJvRuQpNy2OwLcg/H5o5T+54Nt0RGNx+HV88nuVLAqQUkz2ZVm4PN2g78RW82AD1k4+T2fEz9Mb3cXoJNklj6Ie/jFYZQ25kSYfbiN/8Niaf/7ZP2jsmVnGWxsQBssnXnT/3hGVR3rIy6Mmzef79a9Zz41CGF8fLFGoWYclBck0GO7ay/tbfRnnsvyO6Ni4i5uIINU/iwRNZQpqCLAnc1i2QOPopymaNBVugOxlETHTSNrSTwIm/RjmjQqSV4Pp7WN+2FUOIcmyiskKGSIKALAvYtkelblNPBYm3b8WZPogkQUD1be3n8h8Xktt57KnZlXNTumgi4dHTWd64vYMP37aOLx2cZjRb48bBNB2xAIW6uXIuiggEVYnXb+sgFlR5YapEIqiiySK72ySSL3yGxswxJFFAkzVyuQXsxU+wc9fP0D9wM20n/y/24c8jCQKKJOJW5vAe/2Miu96Lu+EerP1f86835UV0Teb4SGXFeigIwkp8w+GJMm+6po1/evI04NuLDTSyNf98ylcNyqbAfdcOMLbQYHqpTkCRkEQRx3UZaAnSmwlSavqtjJbjUW869KWCjC+r6vAuK3a9KvSkgty7tZ0HTyySqzY5PF3kni1tPHRikZaoRkiTGWqJoCsie/pT7F2X4raNLbRG9BVC657NbdSaNs+NFVaaLNNhlffd0LdMgMXIVZoMt0UJ6xJtUZ2vvThHoWqRjmroisRc0eBjD5/lN+4e/r6tigFV4vXb2lnfGuHR01kqhsX61gh7+pP0Z8KU6iafeHKM8dz5a5vteDw9ksd2PX7hxj5U+fyE4HzJIF816UwESEU07GXFoi5LSKLA5FL9knbLCzGSrbJv+KqTXdewhjX8BGKNKLsIf/EXf8Ef/dEfMT8/z/bt2/noRz/Kdde9dPbLGtYA+GTY7g/A0S/6ChaA5CDsfDck+1/6tZKEvG4f4uyJS6xTAqD17Ub6IWSArd6QizT/lyy/SuXSq4R0WOONOzq5cV2aqmHzyUfrTC0ugueHqpiOx2MTTdzWbbxH0HjlhoCXL0q82uwMR9ZJSlXcZ/7q/KAY8Mwa3oG/I3XHb+PIW65qG1vlOsJ3/wBO3n/+wewp+PpvIN39X1E2veuqthG76RO/9dxK4PcKQhlfSTbyXbhYAWk34Lm/9jPgWs7n6dmijji9H+fUA5e8lTfyCGL/zTjijUhP/Tk4F2Rg2QYc/QIEk5h9tzG60KBYPU8QFWsWpbrFUEfIJyuH7oJ4t0/yhZJw+gFfXafHz68zdxr2/w3c+u/8APRlNEx3VUj9hXA9qDacqyLKJNfGcRxOHDmOWS2sPD5bXmJpMcnw1i2IrglcZKUOpWH93dB/s59dpoZXDsKpusjfPD1L3Vit6Dw5X+WrJ4p8qDVDLKhw58ZWru1NYFgOIVUmErj80aQYS1hHPg94CAgEZAeK8/7C0w8gvvFPmbUz1KrLQctmHVWP46kwttBguDNEw2wS1CX6MoFLgvUF1/KPlSvBqmN6EqcuUvGV6zaVRpUNXWEiAQldFTFMv6Vs+oKBkq5Kq86/huVQNmy6EkE294TpawZomA6feHKM6cJ5kgxgMl/nb58Y4zfuWk88eJ6Y1jWRVDpJ1luP0FgiFAwwmbN9664g0hdzkE5+B+/0t1d/FqcJT/4fpI4duG7LMhMi8ebrBihW7RWFm+d5eMvfZ7FmM5lr0BJT0YfugcwGP//Rqvsqw0Q/BBMEHY/OlM5M3sByXIzMTqYOHvT3sSCw3N+J67iML3mEOnq4UCehuQbes/8X69hXl78YEddzccaeQjF/jw/f/of8l1wvtdI0n3h6jt+451185cAChmmBFkFTFeLRCPm8yXOjOfbcvg5ZOoHjAuFW9mzoIZxKod/2b/xSA8fyszWXt8vpuo7HRi8oK6jnuWXPDYSCMc7MVomGoS2tUco1EIDe1gTPnpimWGuyUBAJBTIMtIjIooukS+iuryQtXXS+CoKAh0e2ZNLsCDF9UUD4uV+u2VyVrtYI+XJj5XUxXaa/a4CPPTyC43oMd8SoLc3z0MQco+1pfmXbB5BHvovn2jgH/4G+u4ZpSyt4D38Ew7EIRlRoFnGXJpGyp+na82Gmn/jM+cNj4llaO+4+/+spyivEkiCAaTukwhrfOrRIrenbDvFsbMfl1FSR4GCaDX17kUYfBw9cBObLvuoxHJDRZIFt0RpCPU9YkzEdFyWapqdnGOWpP0YSXYTkIDTysHgcNr8Fe/ANmPb533JB8BU8VcfB8zyKdZfopjfDwnFUr7mKJCPRjxiI4XoX2JQvgrvcgLmxPcr/7871LJQNRMHjv795C598coyRbA3H9WiJaNy3s5ObhjI0bYe2qM5C2cB1PTbreUZnfBVeUPWrb85ZPJ3jX2ND7zrsI1/2/+15KCtnA3gv/hPy2z+BIovYjovrgSMoLJQvjMjwVv1fuWEjLVv5BAEcBEz7/O90QFNomjC9ZKzsNG+ZaBpdrNMWD5CJasyW/fO9VHfoiJ8nyrZ1x0kGr24i7GIEVZmfua6H1pjOIycXKTVsbhiIs7UzxsGJAg3LJazJ3LI+w20bMiRDl6qmUmGN997Qxx0bW1mqmWiySEc8sKJ0e/OOTp4azfO1Q7OUDIta06Y/HeJ9N/VxcLywkndp2C7PjuUZyIS+79D7sK6wqzfB9u44juuuIr6mCvVVJNmFODhR4O5NravyGM9tnygIBBUJlNX3pqbtoasShn35SdDUZfbZGtawhp9OrBFlF+Czn/0sv/Ebv8HHP/5x9uzZw5/+6Z9yzz33cOrUKVpa1mYX1vAyUAIwdCe0bfNJBkn22+y0V2ZvlTu3E+raiDF70g+8xc/wCMTSSBvvveoMp1cd4VbfBpY7ffnlXS+tmvuXRiqsMV1sMFURoWWzP+B0bV9dpIR4ZqrGbcUGfelXrq7SFZFIQKbSuDyJEg9d3XciiQLK9JM0V+7mL1goSsijD6Osv+Wq1imUpleTZBfiyY+i994IiatoIJU1X3kqSlBf8q3aouyTZFrEJ8Je+PvLv9Z1YPLZVUSZ11iC41+5Msc6/SwC7mqS7EKc/Aa1zPWrSLKVdXswlWsQCcioiu5np7Vvh9lDfuHE5Rp9c6d8C3rr5vObfYX8rXMwr3BDfSVIOCxkl1aRZOdgVJbI5wu0d73ELLxyqe3j7GKVui36n8l1/A8viiBIPD9RYrFiEA36pFj8FQzGpPoiNAoIom/XkQQbHBsEAUHwMNQk+fwFtmOzihCIoyt+MLTreWzpDaMr0mVzYiQ9gtKxCbM4e8kyAK17B0tNiaZ5+e91Jm8w3BlifUeIqaxBpWERCyoIgk+SqfJFCjnBzykEX4EbC4osVAxGs9XLDuJmCg2mC/VV+0oUBDqTOk0rSlkNgq6AUEeWl8tCvCze0S9e5tMIPql8+tvcNPzveODwJABbupKrm+DObcfyf2eWmmzpdonout+MnF53yZplSaAjqREJSGTLJhUhCrKGYBtc/Kma6BhaehVRJtUXaRz/5vl9i7gyuLdmXiRlzSJGW3GVILXqAmeaKaaXRvzzPJhGEBXSUZF606FhNDieNWntXsdsQ+W1121kXUeSgCqBmvELXWpL4Dj+MWwZ2HKIYuM82aBKAt1t7ZyeyCMgEAkFsV3f5g4+udAaDzFfqGHaLqNzVdpiOrIkYjsemixgWC6CIHBOhO16Lorkl3lIgoBpeSuEyuXQtPwg8rrlomhBNnan+frhiRWFmSIA9RwCMD6XY2TrDgZ4FLABD702ibA4Qs3xj13H8RAVHSjjNYqoS6dQY22YudFlK5xIMiCCAJKkgKQguAK6ImHZLndsaqFQtambvvJFlUXw5JVr4qnpMj2D9xAYewJJADWUQlJUIgF5hSyWHAMP/zcmIErE+3ahHfl7BHH52nXhpMeJr6C17QLSlxxr4YCEaXuoksCS3EvXPb+DPPJtxOwJkFRfMdx/M+lQlL2DacZzk5fdxzetSxNbvh6FNHmFyOhLR1jfFmGuaGA6Li0RjY54YDnQXeGX9w3y5RdmmMjXsHMnSIZU6qazihQXAM+oIlfnsb0Lf5vPT+YJjolgFAmqEg1zmWAT/OPDuUDaJSyTXf4rBRRFXyagQRH9UgHHFvAEkQ3tMUbmGpe82znMFw02tIfRZD8wXxEFyssZWbGAwr7hzPeXT7aMVFjjbbu6uGUog7GcQZaJ6Lx+u0HDdNAVidboS+fZastlHwOXmX+tmjYPHJtnqW6iKSK1ps3R2TK5qsn7b+zjkQvs/WcXq5i2i6a8OhOlfsHD6nVlK+YVnu1/r6XG6t+QVEglpEnULtOADDDUGiZbMXjmgvbPC99/S2f0Mq9awxrW8NOINaLsAnzkIx/hAx/4AO9///sB+PjHP843vvENPvGJT/Af/sN/+CFv3Rp+bBBp8f+uFuEWlJt+HWn6edyRh8F1ELuvQey7CRK9r/52Xi3UkG9ve/x/+/a7C9G711fP/ZCxUFqe6ZUUkFbbqmzHo9y4TL7aS0CWRHoyAU7NVC+R6nckdUJX2Xop2g3U+gJNJegrps4NXgQBZB3VXEKya8ArJ/OE7IkrL6xnfbLrahDtgo5rYHq//52fC6gRRD+/LJiAZcvoZVGeWfVP0bNwm1VguTZthS1bVlRIOsLSmZfYII9itQmX0AI+Gk2XpuX6g0vwt7V55bp5AJqVVf88l3d2pcH11X7PrtlkKXdpVtg55LM5WlpTKLzyG/LCcig0ggTS6u2xXG9Vk9krgSj6n3lloCiIy4SSBwh4so7rXrCfxPO3C35THVdUq/nPl5CHbkcdfRLTWH29UFQNeeNrWKpdnoAGPwPQtH2L7VBniEbTIVFWSEfUSxo8Ada3Ri7Jlak0rJe0Op0L2r4QAU1ifUeIetPBtD06kg41w1mxWQpG6fLrFASEep6BTBhRlnFtm1LdRJWX95HgZ96tDOTxM73kV2CplyWRRFglEVaZzRsILZsge/J80QaCby9ODuAJF93WGSV/wuBKqMwTD25jCRm0CAVXR2vbQNM6v126LNHXEqXWDBKLxti1tZf+dITeVMgnyVbtwBj03eDnVkoq6tJp+lvuZGI5vrOzq5uq4awQ54qirsqiy5VMOlNh5gt+gcpCoY4nKqxr1xmZq2E7PvEk4PPEPvEgnSctBH+CSRBEvIsUsef0RpIk0pKIMld1COgK4UCA6aLpr0MAQfDOW8oROL5osD7aipX3SSFFBCN7ZuWSJAggahHAt1gLC8fQkxsxlyYQJJX4hltBV+nIpFmsWiCIiKJ/Ax5WJV6zuY2ZpSYBRURaPi89V0IQZTzXpm5aePL5a4W+4y10ZeLoytzKpFpdjhMQRPD87C1FUfxc03O40NLvOkiVSWLBtkuUebIoIKsCHSmdSEBGFDdByxAYBX/yZDnnUwZeu62dp0bzTOTqK+SrKAqsawlz+4aWK6qMWiI6LZHLEzndySAfvHWAxbJBcnaGlkyIsmGzVDWRhOWWTNcPnfIUHQFfSXhO7SZIMp5j+f+WNAKKf6yQ6KchQEdcZ6Zo+HZddzn43nJQJJFIUKIzGeLYbAjZswhgkg5rzHkSrqgQCyjYbp3z5/DK/3KONlNkkb5UiGLDJBVVOH22yF2bWtk7mPq+Gy8vhCAIl5BhV9qnV4OKYfHNI/NEdIWAKtG0XSqGvXL/NF8yiAeVlWtnNKBctbL+ahF5GTV38KJrUFtM596t7XzhwKWKxx09cXqTQZLbOpgvG6uUarIk8DPX9dD7Kn5Pa1jDGn68sUaULcM0TZ5//nl++7d/e+UxURS58847efrppy95frPZpNk8r4Aol19mYLaGNbwSRFoRN74Wcd0+XzXyCtVoPzC0bYHb/j8Ye8y3cChBPwuqbZtv1/shI6K/tGlRf6lmxCsgGpTZ1B1mqWpRrFmokkgmphIJysgvU2t+CSSd/397dx4kVXn/e/x9Tu/LdM++LzAg24CCG5IYiMIFCRJRb4VrbnlxSUQDiUgiamKZ6K+iFZMYvZgYJD81MXqTGNeYFJalCBrRRA0qLiOriMwwMDD70ttz/zjQ0MwgMzrsn1fVVE2f8/Q5z+nup0+f7/k+z+OOFBJq+oTOLg+plHPH07JtAj4P7qx85zXtD19W79laey7i3P3sRuD2OgHRjkbYuX7vjJHuAIz/tpNZGMp3xkLrzX4BU1e4ECrHk2qozazYnke5g7E8vgOPf+cNY9kuoB+BIP9BJkPYr10FvDZF2T627ulSs++mvC5CgX5+btxeMqdc3Y/twnL376KmIjeYnt1sf9GAcxHXrypGSwjkltDeWIdlWSQsLz5fGNPdhu1y4bFSeD1uYt27gxr7vWZZgYP/fHAVDic4+Xp8b/+F2LZaMOAtHIJr7GzsnEG4Og/cNdO29n5SXLZFOOCm2hfi8rMH8/tXN2Vk+RVk+Zh9RgWB/bIa9u8Our/Igbqlum2iuwOvHrdF7ZY2UgZ22vkUl47D2rhib+F0FzoLq+JMCrPDnH/6UF58byuPv/ExP5x5Opu2d2BZ+3Rd231kQ4tCzqyt/RAKuCCQ7WROxtqdsbDcfvCGcHt9PWbhtQJRJ7hqes+usEL5NHfuztiw3VTmRVi/o5OWhswZgr0uG2/Qy9dOLmVcZc6BK2i7nLEF1y+HnRuwmjYxocbm1WCEWGc7lj+KSSad18Dtxe2yILW3ziljsLDTr5HX58PrcZET9lBTlUVHdxILCAdcdMVSPcLnuWEPIb+LrEiIlpa2zO9FC4LBACGfizlfHcHSlRvoTqScSQg8fpLGUBB2Yye6sALZmI5GsFwEXQavDUnbwmCRCBWTdHmxbRuf28brsjBWgGAoTFdnB5Y3hDEWbn8WJZVDCY6cTCSngkUzcnj27Tr+tbGReNIwojiLC08t46SiLJIJi3Xuve3Bsm2MJ4CViBFwp/Am2vDmVuA95UJclWdS6vbz9bFlPP6mEwx4fWeI84acTfe6lZRE/bj2fWEC2eDJ/L6xgYqCAB1b2tLBtj0qCvyEA+692U9ujzN7+n5GFEf4r6/X8OR/trL6k13YtsVpVTnMGlvGkMLP/9vF53ZRkRsCMwL8AYLe+O4ui4ZowENLVwJX/hBa/OUEIkVYrducgfmTSdwu59jtaDmWy43f68IuHEHr6Dk0tMG4wVGa3o8TTxqSqRQey5lMoKYsi/e2NlNTmk1dczcdsQR+dwo7YNNtx5hWU8LahjYG5QdpbIvhcbnSE0zsmSm2IjdAW2cSv8dmeDRMWb6fUyojRAKeL9w18XBp6Uywtcm5seG2bdxem4Kwj/rdNyE/amilOj+cDpRNPKmg/7+D+qkiN0g04OmROQbOmG2l+90gsSyLicMKyPK5WbamnobWbrJ8bs4els/EkwoI+z2E/R7mn3MSmxrb2dTYTpbfzdCCLMpzAof8eETk2KFA2W47duwgmUxSVJTZRamoqIgPP/ywR/k77riDW2+99XBVT040/Q2WHE75J0HeUKdLnsvrdNU7SlTlBQn73LR198ygGJQfoiz7891xDfndhPxuyvP8X+wHr9uDNWwqvrrVuF12OoNpz2xu1vDp4OvfwLhWUQ3GHYJEe8+VFeOxsgf1v57Z5TDxB7BrIzRtcYKgudXOIPiWBcO/Bm/9vpfj80HF6ZnLbBfWqK/j/uBvJNozuyK6glGs6rOdblqbVvYcEw2g7DSys4LUNbf1XIfz3vi9+/2wza6ESFmP7DbA+exGMwfztyyLklwflgX1u7pJppxsgUjIQ1WBH38/u5X4I7nkFZXw6c7ep7zPLyrCF87u1zaHFYcpzfGzdVdXRrDM47aYPKqgx8XCQYXy8ZxxKeGV/5fu7m6SKRsTLcO1ayP26Itwb3qR0uLJbKrrdl7LfbqDelxWj1kue2VZ2GVjsfOH4GnbPctaqDA982hBxMuuXrrUAuSEvfj2e19t2+LMQbmURP2sbWhlV3ucitwg1QWhXrMpyrIDVBeE2LC9Z9sojvoo78NrFg26GVmRRf2ubhq6bQpPuxzX1rec7799kiOt3MEwdDK5IS/fPXcY02pKeG1DI36fzdCiMB83dmQEbUqyfQwtDu4TPOuboM9FfsTLjhZ6dNEtz/MT2D/7Me8kfEMn0b3uJTAGiyS25SJlDN78arb7K0kaJ0BTkOVjSGGILH8Zv16+rkeW4pjyKIP70nW9cBRMux3e+gM0vM+QzY8zd9pc/lyboK6pjbNG+nF3uSmOhgj6fcTiKWzbJpVKkZvlZUfz7vfLshhekUc05Ly3Aa8rncF2yqAI737cSmcsuScJkmjAzcjyMOGAh5GV2azZCJ2dnZhUEsuy8QUCjKzKJhL2Mzbs5/vThvPa+kbiyRQThhawZWcHIVcCO9kF0XKsZAwS3ZxSAL4PtxD3+EiFCmgJDCJw0mS87/4Fn9vG57WxCGMXnoSrYydm1FQKt63H+z++hbf6y1jZFQAMKQzznXOqufi0MlLGkBvyEt59c6co28l+6txn8hjLdoE3QM2gCNkFcezpP8YdciZkcgHnjiigNNvPS7UN7GiN0TTsfzK6uIjgp87MwgTznIB9uCgjIxTLBdlVZAWcm0BNHQmaOxJ43Rb5WV5Cfnefs4RGlkapLgizo93JyMsLe50x1gZCdpUzQcwbD7JnMsVo0MYTyqb19Dm82VzIpCk/wfXcDdjxNqfLngUuX4nz+YuU4Jp6K75oBSnjpzrpBLZmjCtiw7YOdrTGCHpdDCoIkpPl5tMmDz63zTkjCqhv7uKjhjaCHhfDisK4XBbrG9oYWhRiZ1ucHW2xdFddt21REg1QkuOnrTNJeZ7HGTvOc+wFXDwuyxmrbp/fUDkhL+2xJK2dcSJ+D90JJ1g9taaI4UWH/mZuUcTPFWcP5ncvb6C1a2+9CrJ8/J8JVb3eIA153Zx9UgFjyqK0dSfwul09ZsfMCXnJCXk/O/AvIic0y5je7k+feLZu3UpZWRmvvvoqEyZMSC9ftGgRK1as4PXXX88o31tGWUVFBc3NzUQiRz6zRuREtfqTJh54eYMz89xuBVk+5k4a0reLvEMt3glrn4d3/7p3XC7bDcNnwMiZ6SBC37fXBe/8Gf7+fUxqb9DBChfDxUudWRQHWlcLfPAsfLRs7zEE8+C0y6H89J6zIBiD+eR1zL/+G7N7EgCrcjzWGd/GqprgjI21Ybkz9tme7VkWVJ0NY79J3JfNxw2dbG/OHKvEtmF4WZjs3rJyGtfDa/dB8yd7l+VUw1lzIWdQr4dljKEzliKecMYKCnhduFyfLzDa3tRI7Zr36NpVtzcNzLII5JYxrGYkoey8fm9z7bZWHnp1E5/s7MAY8Lotvjw0n1njynodtPmgUknYXktq/YuYxo1YwWzswROdC+kt/yJeNJaGrFPY2mqRSDmvQ1bATVVhoE8ZZQcTS6TY1NBJY0vm++rz2AwvCx00I6wvNu9s56F/bnICVbsVR50LryEFfQ9Kp1KGeMJgJ9vxfPQPePNBaPrYea2KT4YJ86FqQq8zgDR3xPi4oYtPdnaQSkFZjp9BRUFyw59vYO/ueIodLTG2NXWTSKbwed2U5frIDjkzIO4vUbeGxLKb6f7krd2fRQt3fjVM+ym3vR1iR2uc6oIQ/3t8FYPyQxhjWNfQxoqPtrN2Wxt+j83EYQWMrchOD/jdJ12t0LYNMBAuYlfSz7bWLkIeN/W7YiR2DyafMtDSEacrnmBwoY/XP9yKy+2hJDfKWcPzDjizcHuXE+DpiiUJ+d1Egu50IM0YQ2tngu1NXbR1JQn6bApzAmT53RnjRBljiCVSbN7ZwW+Wr6Nlz4V4KgmdOzmv2sv5ZiWBHe+QKD6FWM3/YmOyjEJXE5F3luJurM0MKlV9CcbMdrqt9+O73BjDlh1drFq7k10dTpdhj8tiWHGYUwZFDpj9CBBPpOhOOGNTuS2cGwTJODS81/t4kiPOh5O/cVTd5DqgRBx2bYBP33SymPOHkSqsod1fSjJp8LrAv+t97M2rYOcGyBsClROgeMxnzsYTT6SIJw22Tb9uhKRShu0tMdbVtdHYHsfCoiDLy0mlIXLDx07m2IEYY/h//9rMCx80ZCyPp1J0xpJ86+xqYokUw0uyqMgJEPAevnyLuqZONjV2sLM9RlHER1VekIIB6G56vGhpaSEajeo6VGQAKVC2WywWIxgM8te//pVZs2all8+ZM4empiaefvrpz3y+vqBEjh6f7upg4452dnbEKYn4GZR/lP2gSiagZQs0b3GyqCJlEK1wuux9HrEO2PoWrHvBuUgqPsW5aC87dWDrva9kwql/x3awPRAtcwb8/yzdbU7gyhjnePe9kEwmnLo3fQyJmJPVFq0Er5NdGUukaG5PpIMDWUE3hVEfYb/rwBcnnbucgfu7W8EXcTLNAtkDc/x90NG8k8bGJnY0NIBlkV9YSF5uNsHo57+D3dwRY2tzF92JFNGAm7LsQMYMYZ9LKukEcN0+Z3y//XTGkruzfiwCXntAu6bEEilaOxI0tMRIplLkhb1EQx6C/RwX7rM0d8TYsquT5q44WT435blBcr7I7HPGOJ/V1m3O6xUpg9BnBz5TxjgD1hvweuwBGdenO54ilTK43dbuwdAPLNG8FdNQ69Q7VIDJG8Y2u5BdnXH8Hhel2X7Cvsz3PpFM0dadcAZ59/Wvi+jBdHYnaWiJ0dgSI5VyxqLLDXvYsqODjliS3CwvFflBsgKf0b4H2Cc7O3hnSxNrtjYTDXj50pA8hmQlCXXvnpwnUgKeoJNxaoHduRO2f+QEcWw3lJ/hZKwGDtL1+wD2BPd2tceJJwxZARc5Ye/e8Rf7K9EN29ZA7T+gpc4Zx27Yec6kJ0fbsA7HmO54iu540rn54bF7ndDkWFXf3Ml/v7KxRybujJNLOG90McHDGByTvtN1qMjAU6BsH+PHj+fMM89k8eLFAKRSKSorK5k/f/5BB/PXF5SIyKGXTBlSxuDePRD9sSC+O/vY4zsGMjiOIGdSgWPjPZWB0R1PpWeGtG2LeCJFyjjZVAMxQ6DgZB3H2pyuut6jIKtajno727vZuL2dD+tb8XtdjC6NUpl7eDPIpH90HSoy8PSNt4+FCxcyZ84cTj/9dM4880zuvvtu2tvb07NgiojIkeWyrd1z3B07FCDrGwXJTjz7j+N0PGXmHDU8/h6D+Yt8ltyQj9yQj9MG5R7pqoiIHDEKlO1j9uzZbN++nVtuuYX6+nrGjh3LsmXLegzwLyIiIiIiIiIixx91vRwgSnkVERERERGRw0nXoSIDTznuIiIiIiIiIiIiKFAmIiIiIiIiIiICKFAmIiIiIiIiIiICKFAmIiIiIiIiIiICKFAmIiIiIiIiIiICKFAmIiIiIiIiIiICKFAmIiIiIiIiIiICKFAmIiIiIiIiIiICKFAmIiIiIiIiIiICKFAmIiIiIiIiIiICKFAmIiIiIiIiIiICKFAmIiIiIiIiIiICKFAmIiIiIiIiIiICgPtIV+B4YYwBoKWl5QjXRERERERERE4Ee64/91yPisgXp0DZAGltbQWgoqLiCNdERERERERETiStra1Eo9EjXQ2R44JlFHoeEKlUiq1bt5KVlYVlWUe6OiKHXEtLCxUVFXzyySdEIpEjXR2Ro5baikjfqK2I9I3aiuzLGENrayulpaXYtkZWEhkIyigbILZtU15efqSrIXLYRSIR/UgT6QO1FZG+UVsR6Ru1FdlDmWQiA0shZxERERERERERERQoExERERERERERARQoE5HPyefz8eMf/xifz3ekqyJyVFNbEekbtRWRvlFbERE5tDSYv4iIiIiIiIiICMooExERERERERERARQoExERERERERERARQoExERERERERERARQoExERERERERERARQoEzmhrVy5kpkzZ1JaWoplWTz11FMZ69va2pg/fz7l5eUEAgFGjRrFb3/724wyX/3qV7EsK+Pv6quvziizefNmZsyYQTAYpLCwkOuvv55EInGoD09kwBysrWzbto3LLruM0tJSgsEg5513HmvXrs0o09XVxbx588jLyyMcDnPxxRezbdu2jDJqK3KsG4i2ovOKnAjuuOMOzjjjDLKysigsLGTWrFnU1tZmlBmo88ZLL73Eqaeeis/nY+jQoTz00EOH+vBERI5pCpSJnMDa29s55ZRT+PWvf93r+oULF7Js2TL++Mc/8sEHH7BgwQLmz5/PM888k1Hu29/+NnV1dem/O++8M70umUwyY8YMYrEYr776Kr///e956KGHuOWWWw7psYkMpM9qK8YYZs2axYYNG3j66af5z3/+Q1VVFVOmTKG9vT1d7rrrruNvf/sbjz32GCtWrGDr1q1cdNFF6fVqK3I8GIi2AjqvyPFvxYoVzJs3j9dee43nn3+eeDzO1KlTB/y8sXHjRmbMmME555zD6tWrWbBgAd/61rd47rnnDuvxiogcU4yIiDEGME8++WTGspqaGnPbbbdlLDv11FPNj370o/TjSZMmmWuvvfaA2/3HP/5hbNs29fX16WX33XefiUQipru7e0DqLnI47d9WamtrDWDWrFmTXpZMJk1BQYFZunSpMcaYpqYm4/F4zGOPPZYu88EHHxjArFq1yhijtiLHn8/TVozReUVOTA0NDQYwK1asMMYM3Hlj0aJFpqamJmNfs2fPNtOmTTvUhyQicsxSRpmIHNCXvvQlnnnmGT799FOMMSxfvpyPPvqIqVOnZpR75JFHyM/PZ/To0dx00010dHSk161atYoxY8ZQVFSUXjZt2jRaWlp47733DtuxiBwq3d3dAPj9/vQy27bx+Xy88sorALz55pvE43GmTJmSLjNixAgqKytZtWoVoLYix7++tJU9dF6RE01zczMAubm5wMCdN1atWpWxjT1l9mxDRER6ch/pCojI0Wvx4sVcddVVlJeX43a7sW2bpUuXMnHixHSZb37zm1RVVVFaWso777zDDTfcQG1tLU888QQA9fX1GT/ggPTj+vr6w3cwIofInguXm266iSVLlhAKhfjVr37Fli1bqKurA5zPutfrJTs7O+O5RUVF6XagtiLHu760FdB5RU48qVSKBQsW8OUvf5nRo0cDA3feOFCZlpYWOjs7CQQCh+KQRESOaQqUicgBLV68mNdee41nnnmGqqoqVq5cybx58ygtLU3fnbzqqqvS5ceMGUNJSQmTJ09m/fr1DBky5EhVXeSw8Xg8PPHEE1x55ZXk5ubicrmYMmUK06dPxxhzpKsnctToa1vReUVONPPmzWPNmjU9MitFROTIUNdLEelVZ2cnP/zhD7nrrruYOXMmJ598MvPnz2f27Nn84he/OODzxo8fD8C6desAKC4u7jFD057HxcXFh6j2IofXaaedxurVq2lqaqKuro5ly5bR2NhIdXU14HzWY7EYTU1NGc/btm1buh2orciJ4GBtpTc6r8jxbP78+Tz77LMsX76c8vLy9PKBOm8cqEwkElE2mYjIAShQJiK9isfjxONxbDvza8LlcpFKpQ74vNWrVwNQUlICwIQJE3j33XdpaGhIl3n++eeJRCKMGjVq4CsucgRFo1EKCgpYu3Ytb7zxBhdccAHgBAc8Hg8vvPBCumxtbS2bN29mwoQJgNqKnFgO1FZ6o/OKHI+MMcyfP58nn3ySF198kcGDB2esH6jzxoQJEzK2safMnm2IiEhP6nopcgJra2tL36EHZwrx1atXk5ubS2VlJZMmTeL6668nEAhQVVXFihUr+MMf/sBdd90FwPr163n00Uf52te+Rl5eHu+88w7XXXcdEydO5OSTTwZg6tSpjBo1iksvvZQ777yT+vp6br75ZubNm4fP5zsixy3SXwdrK4899hgFBQVUVlby7rvvcu211zJr1qz0xBfRaJQrr7yShQsXkpubSyQS4bvf/S4TJkzgrLPOAtRW5PjwRduKzityopg3bx6PPvooTz/9NFlZWekxxaLRKIFAYMDOG1dffTX33nsvixYt4oorruDFF1/kL3/5C3//+9+P2LGLiBz1juykmyJyJC1fvtwAPf7mzJljjDGmrq7OXHbZZaa0tNT4/X4zfPhw88tf/tKkUiljjDGbN282EydONLm5ucbn85mhQ4ea66+/3jQ3N2fsZ9OmTWb69OkmEAiY/Px88/3vf9/E4/HDfbgin9vB2so999xjysvLjcfjMZWVlebmm2823d3dGdvo7Ow03/nOd0xOTo4JBoPmwgsvNHV1dRll1FbkWPdF24rOK3Ki6K2dAObBBx9Mlxmo88by5cvN2LFjjdfrNdXV1Rn7EBGRnixjNNKwiIiIiIiIiIiIxigTERERERERERFBgTIRERERERERERFAgTIRERERERERERFAgTIRERERERERERFAgTIRERERERERERFAgTIRERERERERERFAgTIRERERERERERFAgTIRERERERERERFAgTIRERE5zliWxVNPPQXApk2bsCyL1atXH9E6iYiIiMixQYEyERERSTPGMGXKFKZNm9Zj3W9+8xuys7PZsmXLgO/3pZdewrKs9F8gEKCmpob777+/39uqq6tj+vTpn7mfpqamL1hjERERETkeKVAmIiIiaZZl8eCDD/L666+zZMmS9PKNGzeyaNEiFi9eTHl5+YDuMx6Pp/+vra2lrq6O999/n7lz53LNNdfwwgsv9Gt7xcXF+Hy+Aa2jiIiIiJwYFCgTERGRDBUVFdxzzz384Ac/YOPGjRhjuPLKK5k6dSrjxo1j+vTphMNhioqKuPTSS9mxY0f6ucuWLePss88mOzubvLw8zj//fNavX59ev6cr5J///GcmTZqE3+/nkUceSa8vLCykuLiYwYMH873vfY/Bgwfz1ltvpdcPGjSIu+++O6O+Y8eO5Sc/+Un68b5dL/e1adMmzjnnHABycnKwLIvLLrvsi71YIiIiInJcUaBMREREepgzZw6TJ0/miiuu4N5772XNmjUsWbKEc889l3HjxvHGG2+wbNkytm3bxje+8Y3089rb21m4cCFvvPEGL7zwArZtc+GFF5JKpTK2f+ONN3LttdfywQcf9NrN0xjDsmXL2Lx5M+PHjx+QY6qoqODxxx8H9mau3XPPPQOybRERERE5PriPdAVERETk6HT//fdTU1PDypUrefzxx1myZAnjxo3j9ttvT5d54IEHqKio4KOPPmLYsGFcfPHFGdt44IEHKCgo4P3332f06NHp5QsWLOCiiy5KP66trQVId+vs7u4mlUpx2223MXHixAE5HpfLRW5uLuBkrmVnZw/IdkVERETk+KGMMhEREelVYWEhc+fOZeTIkcyaNYu3336b5cuXEw6H038jRowASHevXLt2LZdccgnV1dVEIhEGDRoEwObNmzO2ffrpp/e6z5dffpnVq1ezevVqfve733H77bdz3333HbqDFBERERHZhzLKRERE5IDcbjdut/Nzoa2tjZkzZ/Kzn/2sR7mSkhIAZs6cSVVVFUuXLqW0tJRUKsXo0aOJxWIZ5UOhUK/7Gzx4cDrTq6amhtdff52f/vSnXHPNNQDYto0xJuM5+04GICIiIiLyRShQJiIiIn1y6qmn8vjjjzNo0KB08GxfjY2N1NbWsnTpUr7yla8A8Morr3yhfbpcLjo7O9OPCwoKqKurSz9uaWlh48aNfd6e1+sFIJlMfqF6iYiIiMjxSV0vRUREpE/mzZvHzp07ueSSS/j3v//N+vXree6557j88stJJpPk5OSQl5fH/fffz7p163jxxRdZuHBhv/bR0NBAfX09H3/8MY899hgPP/wwF1xwQXr9ueeey8MPP8zLL7/Mu+++y5w5c3C5XH3eflVVFZZl8eyzz7J9+3ba2tr6VT8REREROb4pUCYiIiJ9Ulpayj//+U+SySRTp05lzJgxLFiwgOzsbGzbxrZt/vSnP/Hmm28yevRorrvuOn7+85/3ax/Dhw+npKSEoUOHcsMNNzB37lwWL16cXn/TTTcxadIkzj//fGbMmMGsWbMYMmRIn7dfVlbGrbfeyo033khRURHz58/vV/1ERERE5Phmmf0H+hARERERERERETkBKaNMREREREREREQEBcpEREREREREREQABcpEREREREREREQABcpEREREREREREQABcpEREREREREREQABcpEREREREREREQABcpEREREREREREQABcpEREREREREREQABcpEREREREREREQABcpEREREREREREQABcpEREREREREREQA+P8CKPV2sZbDdwAAAABJRU5ErkJggg==",
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",
       "text/plain": [
        "<Figure size 1200x600 with 1 Axes>"
       ]
@@ -1415,7 +1415,7 @@
     },
     {
      "data": {
-      "image/png": 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xYz3zzDMqXry4unTpoq+++ipXYVeJEiVyNaF0+fLlbZ5bLBaVK1fuhvNP5Zc///xTQUFBWV6PzNuM/vzzT5v2UqVKZemjSJEiWea0ym4/5cuXl4OD7Y+zG+0ntzLnHbt2gvHDhw/rwoUL8vf3twmTihUrpuTkZCUmJlrX3b9/vx599FF5e3vLy8tLxYoVs96udOHCBZt95fS9zXxNk5OTsyz77rvvtGrVKr399tvZbpvdPu7Ua+jg4KAyZcrYtFWoUEGSrOff888/rwoVKqhNmzYqWbKkevXqleO516Ss53fmPq49vx966CEFBgZaw4eMjAx9/vnn6tChQ46Dmfr166tly5Zq2bKlunXrpuXLl6tKlSrWwO5OyHxfrlexYsUc93H9dZUZWmVeV5nvbbly5WzWK1SoUI6+vdDLy0uSbhrsX+vff//VqFGjrHNdFS1aVMWKFdP58+ezXA/ZOXz4sKSr8x5ef+399NNP1mvvRseVXVtuP6tKly6dbW09evRQdHS0df1FixYpNTU1x7dvAgCA28ccXACQD/766y9duHAh2z+oMrm5uWnjxo1at26dli9frpUrV+rLL79U8+bN9dNPP9lMCH6zPvLbjUYXpKen56im/HCj/RjXTfJcEGRkZMjf399mtMa1Muf2On/+vJo2bSovLy+NGzdOZcuWlaurq3bu3KkRI0ZkCTZz+t6WK1dOhQoVsplMPVPTpk0l6Ybf0Hc758/NzpO88vf3V0xMjH788UetWLFCK1as0Jw5c9SjR48sk9znlaOjo5566inNnj1b77//vqKjo3XixInbmhfJwcFBzZo107Rp03T48GFVrVr1jrw+t+tOX1eVKlWSJO3du1e1atW65foDBw7UnDlzNHjwYDVs2FDe3t6yWCzq0qVLjoL+zHXmz5+vgICALMvv9LfWSje+hrp06aIhQ4ZowYIFeuWVV/TZZ5/pvvvuy1UgCQAAbg8BFwDkg/nz50uSwsPDb7qeg4ODWrRooRYtWuidd97RhAkT9Oqrr2rdunVq2bJlvt/KkjniIZNhGDpy5Ihq1KhhbStSpIjOnz+fZds///zTZgRObmoLCQnR6tWr9c8//9iMjMi8LS8kJCTHfd1qP3v27FFGRobNCKT83s+1ypYtq9WrV6tx48Y3DYzWr1+vM2fOaPHixXrwwQet7bGxsbe1/8KFCyssLEwbNmzQ8ePHczRJ+s3k9DXMHP1z/blyoxFeGRkZ+uOPP6yjtiTp999/lySb0UHOzs5q37692rdvr4yMDD3//PP68MMP9frrr980MJaynt+Z+7h+9FGPHj00ZcoUff/991qxYoWKFSt2y2v1VtLS0iT9/0i63L4+txISEpLt8R06dChP/d1oH5J05MgRNWvWzNqelpamuLg4m8+J7LRp00aOjo767LPPcjRS6euvv1ZERISmTJlibbt8+XKW1+xGnzWZtzH7+/urZcuWN9zPtcd1vevb8uuzytfXV+3atdOCBQvUrVs3RUdHa+rUqTnaFgAA5A9uUQSA27R27VqNHz9epUuXvun8OGfPns3SljnqISUlRdLV8ELK+kdyXmV+y1ymr7/+WgkJCWrTpo21rWzZsvr1119tbrVatmyZjh07ZtNXbmpr27at0tPT9d5779m0v/vuu7JYLDb7vx1t27bVyZMn9eWXX1rb0tLSNGPGDHl4eFhHNOWnJ554Qunp6Ro/fnyWZWlpadbXJ3P0zLWjZa5cuaL333//tmsYNWqU0tPT9fTTT2d7q2JuRujk9DUMCQmRo6OjNm7caLP9zY7n2vffMAy99957cnJyUosWLSRd/VbHazk4OFhDlcxr4maWLFmi48ePW59v3bpVW7ZsyXJ+1ahRQzVq1NDHH3+sb775Rl26dLmt0T6pqan66aef5OzsbL2VLS+vz820bdtWv/76q7Zu3WptO3369A1HDubFfffdJz8/P82ePdsa2ElX5yi71e3BkhQcHKw+ffrop59+0owZM7Isz8jI0JQpU/TXX39JunpNXH9uzpgxI8sotxt91oSHh8vLy0sTJkxQampqlv2dPn1akhQUFKRq1app3rx5NtfHhg0btHfvXptt8vOzqnv37jpw4IBeeuklOTo6qkuXLjneFgAA3D5GcAFALqxYsUK//fab0tLSdOrUKa1du1arVq1SSEiIli5dKldX1xtuO27cOG3cuFHt2rVTSEiIEhMT9f7776tkyZJ64IEHJF0Nm3x8fPTBBx/I09NThQsXVoMGDW4478ut+Pr66oEHHlDPnj116tQpTZ06VeXKlVOfPn2s6zzzzDP6+uuv1bp1az3xxBM6evSoPvvsM5tJ33NbW/v27dWsWTO9+uqriouLU82aNfXTTz/pu+++0+DBg7P0nVd9+/bVhx9+qMjISO3YsUOhoaH6+uuvraMncjrHUm40bdpU/fr108SJExUTE6NWrVrJyclJhw8f1qJFizRt2jQ9/vjjatSokYoUKaKIiAgNGjRIFotF8+fPz5fbw5o0aaL33ntPAwcOVPny5dWtWzdVqlRJV65c0e+//64FCxbI2dk529u4rpfT19Db21udO3fWjBkzZLFYVLZsWS1btsxmzrFrubq6auXKlYqIiFCDBg20YsUKLV++XK+88or1Ns5nnnlGZ8+eVfPmzVWyZEn9+eefmjFjhmrVqmUNjm6mXLlyeuCBB/Tcc88pJSVFU6dOlZ+fn4YPH55l3R49emjYsGGSlOvbEzOve0lKTEzUwoULdfjwYb388svWeahy+/rcyvDhwzV//ny1bt1aL7zwggoXLqyPPvrIOuIuPzg7O2vMmDEaOHCgmjdvrieeeEJxcXGKiopS2bJlczRqc8qUKTp69KgGDRqkxYsX6+GHH1aRIkUUHx+vRYsW6bfffrMGPQ8//LDmz58vb29vValSRZs3b9bq1avl5+dn02etWrXk6OioN998UxcuXJCLi4uaN28uf39/zZo1S927d1edOnXUpUsXFStWTPHx8Vq+fLkaN25sDaomTJigDh06qHHjxurZs6fOnTun9957T9WqVbMJvfLzs6pdu3by8/PTokWL1KZNG/n7++d4WwAAkA/s9fWNAGAmc+bMMSRZH87OzkZAQIDx0EMPGdOmTTOSkpKybDN69Gjj2o/ZNWvWGB06dDCCgoIMZ2dnIygoyOjatavx+++/22z33XffGVWqVDEKFSpkSDLmzJljGIZhNG3a1KhatWq29TVt2tRo2rSp9fm6desMScbnn39ujBw50vD39zfc3NyMdu3aGX/++WeW7adMmWKUKFHCcHFxMRo3bmxs3749S583qy0iIsIICQmxWfeff/4xhgwZYgQFBRlOTk5G+fLljcmTJxsZGRk260ky+vfvn6WmkJAQIyIiItvjvdapU6eMnj17GkWLFjWcnZ2N6tWrW+u6vr927drdsr9rZb6OixYtyrLso48+MurWrWu4ubkZnp6eRvXq1Y3hw4cbJ06csK4THR1t3H///Yabm5sRFBRkDB8+3Pjxxx8NSca6deus693svb2ZXbt2GT169DBKlSplODs7G4ULFzZq1KhhvPjii8aRI0ds1r3ZPnL6Gp4+fdro1KmT4e7ubhQpUsTo16+fsW/fPptzwTCung+FCxc2jh49arRq1cpwd3c3ihcvbowePdpIT0+3rvf1118brVq1Mvz9/Q1nZ2ejVKlSRr9+/YyEhISbHndsbKwhyZg8ebIxZcoUIzg42HBxcTGaNGli7N69O9ttEhISDEdHR6NChQo37fta11/3kgxXV1ejVq1axqxZs7Kcyzl9fa7/bDCM7M/3PXv2GE2bNjVcXV2NEiVKGOPHjzc++eQTQ5IRGxtrXe9G1//1523m63b9ezt9+nQjJCTEcHFxMerXr29ER0cbdevWNVq3bp2j1yktLc34+OOPjSZNmhje3t6Gk5OTERISYvTs2dPYtWuXdb1z585ZzzMPDw8jPDzc+O2337I99tmzZxtlypQxHB0ds1wv69atM8LDww1vb2/D1dXVKFu2rBEZGWls377dpo8vvvjCqFSpkuHi4mJUq1bNWLp0qdGpUyejUqVKNuvd7mfVtZ5//nlDkrFw4cIcvXYAACD/WAyjAM7gCwAATCsyMlJff/11trdP2svff/+twMBAjRo1Sq+//rq9yynQMjIyVKxYMT322GOaPXu2vcvJV7Vq1VKxYsW0atWqO9L/kCFD9Mknn+jkyZNyd3e/I/sAAADZYw4uAADwnxcVFaX09PQcTYZ+L7l8+XKW22bnzZuns2fPKiwszD5F5YPU1FSbecWkq1/8sHv37jt2XJcvX9Znn32mTp06EW4BAGAHzMEFAAD+s9auXasDBw7ojTfeUMeOHbN8w+K97tdff9WQIUPUuXNn+fn5aefOnfrkk09UrVo1de7c2d7l5dnx48fVsmVLPf300woKCtJvv/2mDz74QAEBAXr22WfzdV+JiYlavXq1vv76a505c0YvvPBCvvYPAAByhoALAAD8Z40bN06//PKLGjdunO03/d3rQkNDFRwcrOnTp+vs2bPy9fVVjx49NGnSJDk7O9u7vDwrUqSI6tatq48//linT59W4cKF1a5dO02aNCnLpPa368CBA+rWrZv8/f01ffp067fjAgCAu4s5uAAAAAAAAGBqzMEFAAAAAAAAUyPgAgAAAAAAgKkxB5eufh32iRMn5OnpKYvFYu9yAAAAAAD/cYZh6J9//lFQUJAcHBh7AtwuAi5JJ06cUHBwsL3LAAAAAADcY44dO6aSJUvauwzA9Ai4JHl6ekq6+sHi5eVl52oAAAAAAP91SUlJCg4Otv49CuD22DXgmjhxohYvXqzffvtNbm5uatSokd58801VrFjRus7ly5f14osv6osvvlBKSorCw8P1/vvvq3jx4tZ14uPj9dxzz2ndunXy8PBQRESEJk6cqEKFcnZ4mbclenl5EXABAAAAAO4apskB8oddb/TdsGGD+vfvr19//VWrVq1SamqqWrVqpYsXL1rXGTJkiL7//nstWrRIGzZs0IkTJ/TYY49Zl6enp6tdu3a6cuWKfvnlF82dO1dRUVEaNWqUPQ4JAAAAAAAAd5nFMAzD3kVkOn36tPz9/bVhwwY9+OCDunDhgooVK6aFCxfq8ccflyT99ttvqly5sjZv3qz7779fK1as0MMPP6wTJ05YR3V98MEHGjFihE6fPi1nZ+db7jcpKUne3t66cOECI7gAAAAAAHccf4cC+atAfVXDhQsXJEm+vr6SpB07dig1NVUtW7a0rlOpUiWVKlVKmzdvliRt3rxZ1atXt7llMTw8XElJSdq/f3+2+0lJSVFSUpLNAwAAAAAAAOZUYCaZz8jI0ODBg9W4cWNVq1ZNknTy5Ek5OzvLx8fHZt3ixYvr5MmT1nWuDbcyl2cuy87EiRM1duzYfD4CAAAAAABgGIbS0tKUnp5u71Jgco6OjipUqFCO5qorMAFX//79tW/fPm3atOmO72vkyJEaOnSo9Xnmt1cAAAAAAIC8u3LlihISEnTp0iV7l4L/CHd3dwUGBt5yCqoCEXANGDBAy5Yt08aNG1WyZElre0BAgK5cuaLz58/bjOI6deqUAgICrOts3brVpr9Tp05Zl2XHxcVFLi4u+XwUAAAAAADcuzIyMhQbGytHR0cFBQXJ2dmZb4lEnhmGoStXruj06dOKjY1V+fLl5eBw45m27BpwGYahgQMH6ttvv9X69etVunRpm+V169aVk5OT1qxZo06dOkmSDh06pPj4eDVs2FCS1LBhQ73xxhtKTEyUv7+/JGnVqlXy8vJSlSpV7u4BAQAAAABwj7py5YoyMjIUHBwsd3d3e5eD/wA3Nzc5OTnpzz//1JUrV+Tq6nrDde0acPXv318LFy7Ud999J09PT+ucWd7e3nJzc5O3t7d69+6toUOHytfXV15eXho4cKAaNmyo+++/X5LUqlUrValSRd27d9dbb72lkydP6rXXXlP//v0ZpQUAAAAAwF12s1E2QG7l9Hyya8A1a9YsSVJYWJhN+5w5cxQZGSlJevfdd+Xg4KBOnTopJSVF4eHhev/9963rOjo6atmyZXruuefUsGFDFS5cWBERERo3btzdOgwAAAAAAADYkcUwDMPeRdhbUlKSvL29deHCBXl5edm7HAAAAADAf9x/8e/Qy5cvKzY2VqVLl77prWRAbuT0vGLcIAAAAAAA+M+Iioqy+aK6MWPGqFatWjfdJjIyUh07drQ+DwsL0+DBg+9IfbgzCLgAAAAAAECBEBkZKYvFYn34+fmpdevW2rNnT477ePLJJ/X777/fVh2LFy/W+PHjb6uPG/nmm28UFhYmb29veXh4qEaNGho3bpzOnj2b4z5CQ0M1derUO1KfWRFwAQAAAACAAqN169ZKSEhQQkKC1qxZo0KFCunhhx/O8fZubm7y9/e/rRp8fX3l6el5W31k59VXX9WTTz6pevXqacWKFdq3b5+mTJmi3bt3a/78+fm+v7vhypUr9i5BEgEXAAAAAAAoQFxcXBQQEKCAgADVqlVLL7/8so4dO6bTp09r/fr1slgsOn/+vHX9mJgYWSwWxcXFScp6i+L10tPTNXToUPn4+MjPz0/Dhw/X9dOTX3+LYmhoqCZMmKBevXrJ09NTpUqV0kcffWSzzS+//KJatWrJ1dVV9913n5YsWSKLxaKYmBhJ0tatWzVhwgRNmTJFkydPVqNGjRQaGqqHHnpI33zzjSIiIiRJR48eVYcOHVS8eHF5eHioXr16Wr16tU1tf/75p4YMGWId6ZZp06ZNatKkidzc3BQcHKxBgwbp4sWL1uUJCQlq166d3NzcVLp0aS1cuDDLaLD4+Hh16NBBHh4e8vLy0hNPPKFTp05Zl2fe8vnxxx9b58WaN2+e/Pz8lJKSYvOadOzYUd27d7/he5GfCLgAAAAAAECBlJycrM8++0zlypWTn59fvvQ5ZcoURUVF6dNPP9WmTZt09uxZffvttzna7r777tOuXbv0/PPP67nnntOhQ4ckXf3SgPbt26t69erauXOnxo8frxEjRthsv2DBAnl4eOj555/Ptv/MUC45OVlt27bVmjVrtGvXLrVu3Vrt27dXfHy8pKu3T5YsWVLjxo2zjnSTrgZjrVu3VqdOnbRnzx59+eWX2rRpkwYMGGDdR48ePXTixAmtX79e33zzjT766CMlJiZal2dkZKhDhw46e/asNmzYoFWrVumPP/7Qk08+aVPrkSNH9M0332jx4sWKiYlR586dlZ6erqVLl1rXSUxM1PLly9WrV69bvrb5odBd2QsAAAAAAEAOLFu2TB4eHpKkixcvKjAwUMuWLZODQ/6M0Zk6dapGjhypxx57TJL0wQcf6Mcff7zldm3btrWGUyNGjNC7776rdevWqWLFilq4cKEsFotmz54tV1dXValSRcePH1efPn2s2x8+fFhlypSRk5PTTfdTs2ZN1axZ0/p8/Pjx+vbbb7V06VINGDBAvr6+cnR0lKenpwICAqzrTZw4Ud26dbOOPCtfvrymT5+upk2batasWYqLi9Pq1au1bds23XfffZKkjz/+WOXLl7f2sWbNGu3du1exsbEKDg6WJM2bN09Vq1bVtm3bVK9ePUlXb0ucN2+eihUrZt32qaee0pw5c9S5c2dJ0meffaZSpUopLCzslq9tfmAEFwAAAAAAKDCaNWummJgYxcTEaOvWrQoPD1ebNm30559/3nbfFy5cUEJCgho0aGBtK1SokDXwuZkaNWpY/22xWBQQEGAd/XTo0CHVqFFDrq6u1nXq169vs/31t0HeSHJysoYNG6bKlSvLx8dHHh4eOnjwoHUE143s3r1bUVFR8vDwsD7Cw8OVkZGh2NhYHTp0SIUKFVKdOnWs25QrV05FihSxPj948KCCg4Ot4ZYkValSRT4+Pjp48KC1LSQkxCbckqQ+ffrop59+0vHjxyVdvVU080sD7gZGcAEAAAAAgAKjcOHCKleunPX5xx9/LG9vb82ePVutWrWSZBsWpaam3pW6rh95ZbFYlJGRkePtK1SooE2bNik1NfWmo7iGDRumVatW6e2331a5cuXk5uamxx9//JaTuScnJ6tfv34aNGhQlmWlSpW67W+WvFbhwoWztNWuXVs1a9bUvHnz1KpVK+3fv1/Lly/Pt33eCiO4AAAAAABAgWWxWOTg4KB///3XOmooc94pSdZJ3HPC29tbgYGB2rJli7UtLS1NO3bsuK0aK1asqL1799pMsr5t2zabdZ566iklJyfr/fffz7aPzInzo6OjFRkZqUcffVTVq1dXQECAdQL9TM7OzkpPT7dpq1Onjg4cOKBy5cpleTg7O6tixYpKS0vTrl27rNscOXJE586dsz6vXLmyjh07pmPHjlnbDhw4oPPnz6tKlSq3fB2eeeYZRUVFac6cOWrZsqXNSLA7jRFcAAAA96i6L82zdwn5YsfkHvYuAQCQj1JSUnTy5ElJ0rlz5/Tee+8pOTlZ7du3V7ly5RQcHKwxY8bojTfe0O+//64pU6bkqv8XXnhBkyZNUvny5VWpUiW98847Nt/KmBdPPfWUXn31VfXt21cvv/yy4uPj9fbbb0uS9Ra9Bg0aaPjw4XrxxRd1/PhxPfroowoKCtKRI0f0wQcf6IEHHtALL7yg8uXLa/HixWrfvr0sFotef/31LCPFQkNDtXHjRnXp0kUuLi4qWrSoRowYofvvv18DBgzQM888o8KFC+vAgQNatWqV3nvvPVWqVEktW7ZU3759NWvWLDk5OenFF1+Um5ubtcaWLVuqevXq6tatm6ZOnaq0tDQ9//zzatq0aY5u43zqqac0bNgwzZ49W/Pm3d3fMxjBBQAAAAAACoyVK1cqMDBQgYGBatCggbZt26ZFixYpLCxMTk5O+vzzz/Xbb7+pRo0aevPNN/W///0vV/2/+OKL6t69uyIiItSwYUN5enrq0Ucfva2avby89P333ysmJka1atXSq6++qlGjRkmSzbxcb775phYuXKgtW7YoPDxcVatW1dChQ1WjRg1FRERIkt555x0VKVJEjRo1Uvv27RUeHm4zb5YkjRs3TnFxcSpbtqx1VFuNGjW0YcMG/f7772rSpIlq166tUaNGKSgoyLrdvHnzVLx4cT344IN69NFH1adPH3l6elprtFgs+u6771SkSBE9+OCDatmypcqUKaMvv/wyR6+Dt7e3OnXqJA8PD3Xs2DHPr2deWIycznL2H5aUlCRvb29duHBBXl5e9i4HAADgrmAEFwDYz3/x79DLly8rNjZWpUuXtgl17lULFixQz549deHCBbm5udm7nGz99ddfCg4O1urVq9WiRYt86bNFixaqWrWqpk+fni/95fS84hZFAAAAAACA2zRv3jyVKVNGJUqU0O7duzVixAg98cQTBSrcWrt2rZKTk1W9enUlJCRo+PDhCg0N1YMPPnjbfZ87d07r16/X+vXrbzjP2J1EwAUAAAAAAHCbTp48qVGjRunkyZMKDAxU586d9cYbb9i7LBupqal65ZVX9Mcff8jT01ONGjXSggULbvqtjjlVu3ZtnTt3Tm+++aYqVqyYD9XmDgEXAAAAAADAbRo+fLiGDx9u7zJuKjw8XOHh4Xek7+u/6fFuY5J5AAAAAAAAmBoBFwAAAAAAAEyNgAsAAAAAAACmRsAFAAAAAAAAUyPgAgAAAAAAgKkRcAEAAAAAAMDUCtm7AAAAAAAA8N9W96V5d21fOyb3yJd+wsLCVKtWLU2dOjVf+suLyMhInT9/XkuWLMnXfqOiojR48GCdP38+X/u1J0ZwAQAAAAAA3IaoqCj5+PjYu4x7GgEXAAAAAAAATI2ACwAAAAAA3NMuXryoHj16yMPDQ4GBgZoyZYrN8pSUFA0bNkwlSpRQ4cKF1aBBA61fv16StH79evXs2VMXLlyQxWKRxWLRmDFjJEnz58/XfffdJ09PTwUEBOipp55SYmKiTd/79+/Xww8/LC8vL3l6eqpJkyY6evSozTpvv/22AgM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",
       "text/plain": [
        "<Figure size 1200x600 with 1 Axes>"
       ]
@@ -1599,7 +1599,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1612,7 +1612,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1660,18 +1660,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "C:\\Users\\m_osm\\AppData\\Local\\Temp\\ipykernel_30908\\2426304337.py:37: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.\n",
+      "C:\\Users\\m_hamsai\\AppData\\Local\\Temp\\ipykernel_20448\\2426304337.py:37: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.\n",
       "  ax.set_xticklabels(year_labels, rotation=45, ha='right')\n",
-      "C:\\Users\\m_osm\\AppData\\Local\\Temp\\ipykernel_30908\\2426304337.py:37: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.\n",
+      "C:\\Users\\m_hamsai\\AppData\\Local\\Temp\\ipykernel_20448\\2426304337.py:37: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.\n",
       "  ax.set_xticklabels(year_labels, rotation=45, ha='right')\n",
-      "C:\\Users\\m_osm\\AppData\\Local\\Temp\\ipykernel_30908\\2426304337.py:37: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.\n",
+      "C:\\Users\\m_hamsai\\AppData\\Local\\Temp\\ipykernel_20448\\2426304337.py:37: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.\n",
       "  ax.set_xticklabels(year_labels, rotation=45, ha='right')\n"
      ]
     },
@@ -1737,7 +1737,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
@@ -2149,7 +2149,7 @@
        "[268 rows x 32 columns]"
       ]
      },
-     "execution_count": 45,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2169,24 +2169,30 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 69,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "C:\\Users\\m_osm\\AppData\\Local\\Temp\\ipykernel_30908\\2426304337.py:37: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.\n",
+      "c:\\Users\\m_hamsai\\anaconda3\\envs\\MERN_ARCHETYPES\\Lib\\site-packages\\geopandas\\geodataframe.py:1528: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  super().__setitem__(key, value)\n",
+      "C:\\Users\\m_hamsai\\AppData\\Local\\Temp\\ipykernel_20448\\2426304337.py:37: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.\n",
       "  ax.set_xticklabels(year_labels, rotation=45, ha='right')\n",
-      "C:\\Users\\m_osm\\AppData\\Local\\Temp\\ipykernel_30908\\2426304337.py:37: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.\n",
+      "C:\\Users\\m_hamsai\\AppData\\Local\\Temp\\ipykernel_20448\\2426304337.py:37: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.\n",
       "  ax.set_xticklabels(year_labels, rotation=45, ha='right')\n",
-      "C:\\Users\\m_osm\\AppData\\Local\\Temp\\ipykernel_30908\\2426304337.py:37: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.\n",
+      "C:\\Users\\m_hamsai\\AppData\\Local\\Temp\\ipykernel_20448\\2426304337.py:37: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.\n",
       "  ax.set_xticklabels(year_labels, rotation=45, ha='right')\n"
      ]
     },
     {
      "data": {
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",
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",
       "text/plain": [
        "<Figure size 2000x800 with 3 Axes>"
       ]
@@ -2212,18 +2218,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "C:\\Users\\m_osm\\AppData\\Local\\Temp\\ipykernel_30908\\2426304337.py:37: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.\n",
+      "C:\\Users\\m_hamsai\\AppData\\Local\\Temp\\ipykernel_20448\\2426304337.py:37: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.\n",
       "  ax.set_xticklabels(year_labels, rotation=45, ha='right')\n",
-      "C:\\Users\\m_osm\\AppData\\Local\\Temp\\ipykernel_30908\\2426304337.py:37: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.\n",
+      "C:\\Users\\m_hamsai\\AppData\\Local\\Temp\\ipykernel_20448\\2426304337.py:37: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.\n",
       "  ax.set_xticklabels(year_labels, rotation=45, ha='right')\n",
-      "C:\\Users\\m_osm\\AppData\\Local\\Temp\\ipykernel_30908\\2426304337.py:37: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.\n",
+      "C:\\Users\\m_hamsai\\AppData\\Local\\Temp\\ipykernel_20448\\2426304337.py:37: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.\n",
       "  ax.set_xticklabels(year_labels, rotation=45, ha='right')\n"
      ]
     },
@@ -2251,7 +2257,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 70,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
@@ -2302,7 +2308,7 @@
        "    <tr>\n",
        "      <th>17013</th>\n",
        "      <td>36076</td>\n",
-       "      <td>05030608</td>\n",
+       "      <td>5030608</td>\n",
        "      <td>4477</td>\n",
        "      <td>5605</td>\n",
        "      <td>boulevard Pie-IX  (MTL+MTN+SLN)</td>\n",
@@ -2324,33 +2330,9 @@
        "      <td>lod1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>472072</th>\n",
-       "      <td>152835</td>\n",
-       "      <td>05027487</td>\n",
-       "      <td>2200</td>\n",
-       "      <td>2222</td>\n",
-       "      <td>rue Sainte-Catherine Est  (MTE+MTL)</td>\n",
-       "      <td>50</td>\n",
-       "      <td>6000</td>\n",
-       "      <td>Immeuble à bureaux</td>\n",
-       "      <td>Régulier</td>\n",
-       "      <td>33</td>\n",
-       "      <td>...</td>\n",
-       "      <td>POLYGON ((-73.54821 45.52677, -73.54826 45.526...</td>\n",
-       "      <td>1930</td>\n",
-       "      <td>1.436573</td>\n",
-       "      <td>0.030303</td>\n",
-       "      <td>POLYGON ((613370.075 5042495.465, 613365.907 5...</td>\n",
-       "      <td>8527.804906</td>\n",
-       "      <td>1800-1945</td>\n",
-       "      <td>Mega office</td>\n",
-       "      <td>4-9 floors</td>\n",
-       "      <td>lod1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
        "      <th>471096</th>\n",
        "      <td>144149</td>\n",
-       "      <td>02064363</td>\n",
+       "      <td>2064363</td>\n",
        "      <td>2030</td>\n",
        "      <td>2050</td>\n",
        "      <td>boulevard Pie-IX  (MTL+MTN+SLN)</td>\n",
@@ -2372,57 +2354,9 @@
        "      <td>lod1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>472085</th>\n",
-       "      <td>162723</td>\n",
-       "      <td>01093039</td>\n",
-       "      <td>3725</td>\n",
-       "      <td>3747</td>\n",
-       "      <td>rue Saint-Denis  (MTL)</td>\n",
-       "      <td>50</td>\n",
-       "      <td>6000</td>\n",
-       "      <td>Immeuble à bureaux</td>\n",
-       "      <td>Régulier</td>\n",
-       "      <td>45</td>\n",
-       "      <td>...</td>\n",
-       "      <td>POLYGON ((-73.57149 45.51994, -73.57147 45.519...</td>\n",
-       "      <td>1885</td>\n",
-       "      <td>1.673016</td>\n",
-       "      <td>0.022222</td>\n",
-       "      <td>POLYGON ((611565.344 5041704.476, 611566.649 5...</td>\n",
-       "      <td>7065.295017</td>\n",
-       "      <td>1800-1945</td>\n",
-       "      <td>Mega office</td>\n",
-       "      <td>10+ floors</td>\n",
-       "      <td>lod1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>471086</th>\n",
-       "      <td>134507</td>\n",
-       "      <td>01031375</td>\n",
-       "      <td>5505</td>\n",
-       "      <td>5505</td>\n",
-       "      <td>boulevard Saint-Laurent  (MTL)</td>\n",
-       "      <td>50</td>\n",
-       "      <td>6000</td>\n",
-       "      <td>Immeuble à bureaux</td>\n",
-       "      <td>Régulier</td>\n",
-       "      <td>21</td>\n",
-       "      <td>...</td>\n",
-       "      <td>POLYGON ((-73.59821 45.52639, -73.59820 45.526...</td>\n",
-       "      <td>1903</td>\n",
-       "      <td>2.148360</td>\n",
-       "      <td>0.047619</td>\n",
-       "      <td>POLYGON ((609465.659 5042383.651, 609466.736 5...</td>\n",
-       "      <td>4884.011552</td>\n",
-       "      <td>1800-1945</td>\n",
-       "      <td>Mega office</td>\n",
-       "      <td>4-9 floors</td>\n",
-       "      <td>lod1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
        "      <th>409455</th>\n",
        "      <td>83039</td>\n",
-       "      <td>03043402</td>\n",
+       "      <td>3043402</td>\n",
        "      <td>7250</td>\n",
        "      <td>7250</td>\n",
        "      <td>rue Marconi  (MTL)</td>\n",
@@ -2446,7 +2380,7 @@
        "    <tr>\n",
        "      <th>112625</th>\n",
        "      <td>156412</td>\n",
-       "      <td>05241231</td>\n",
+       "      <td>5241231</td>\n",
        "      <td>1431</td>\n",
        "      <td>1431</td>\n",
        "      <td>rue Fullum  (MTL)</td>\n",
@@ -2470,7 +2404,7 @@
        "    <tr>\n",
        "      <th>471961</th>\n",
        "      <td>118574</td>\n",
-       "      <td>03078491</td>\n",
+       "      <td>3078491</td>\n",
        "      <td>7035</td>\n",
        "      <td>7077</td>\n",
        "      <td>avenue du Parc  (MTL)</td>\n",
@@ -2491,210 +2425,65 @@
        "      <td>4-9 floors</td>\n",
        "      <td>lod1</td>\n",
        "    </tr>\n",
-       "    <tr>\n",
-       "      <th>33407</th>\n",
-       "      <td>131897</td>\n",
-       "      <td>01039182</td>\n",
-       "      <td>1000</td>\n",
-       "      <td>1022</td>\n",
-       "      <td>rue Sainte-Catherine Ouest  (MTL+WMT)</td>\n",
-       "      <td>50</td>\n",
-       "      <td>6000</td>\n",
-       "      <td>Immeuble à bureaux</td>\n",
-       "      <td>Régulier</td>\n",
-       "      <td>54</td>\n",
-       "      <td>...</td>\n",
-       "      <td>POLYGON ((-73.57214 45.49979, -73.57161 45.500...</td>\n",
-       "      <td>1937</td>\n",
-       "      <td>1.332875</td>\n",
-       "      <td>0.018519</td>\n",
-       "      <td>POLYGON ((611554.145 5039464.894, 611594.441 5...</td>\n",
-       "      <td>3767.206358</td>\n",
-       "      <td>1800-1945</td>\n",
-       "      <td>Mega office</td>\n",
-       "      <td>10+ floors</td>\n",
-       "      <td>lod1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>472941</th>\n",
-       "      <td>176229</td>\n",
-       "      <td>01045045</td>\n",
-       "      <td>1000</td>\n",
-       "      <td>1000</td>\n",
-       "      <td>rue Saint-Antoine Ouest  (MTL)</td>\n",
-       "      <td>50</td>\n",
-       "      <td>6000</td>\n",
-       "      <td>Immeuble à bureaux</td>\n",
-       "      <td>Régulier</td>\n",
-       "      <td>35</td>\n",
-       "      <td>...</td>\n",
-       "      <td>POLYGON ((-73.56513 45.49721, -73.56484 45.497...</td>\n",
-       "      <td>1925</td>\n",
-       "      <td>1.577369</td>\n",
-       "      <td>0.028571</td>\n",
-       "      <td>POLYGON ((612106.852 5039187.362, 612129.347 5...</td>\n",
-       "      <td>2476.308750</td>\n",
-       "      <td>1800-1945</td>\n",
-       "      <td>Mega office</td>\n",
-       "      <td>4-9 floors</td>\n",
-       "      <td>lod1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>485854</th>\n",
-       "      <td>173143</td>\n",
-       "      <td>01036696</td>\n",
-       "      <td>360</td>\n",
-       "      <td>360</td>\n",
-       "      <td>rue Saint-Jacques  (MTL)</td>\n",
-       "      <td>50</td>\n",
-       "      <td>6000</td>\n",
-       "      <td>Immeuble à bureaux</td>\n",
-       "      <td>Régulier</td>\n",
-       "      <td>119</td>\n",
-       "      <td>...</td>\n",
-       "      <td>POLYGON ((-73.55898 45.50195, -73.55870 45.502...</td>\n",
-       "      <td>1928</td>\n",
-       "      <td>1.401016</td>\n",
-       "      <td>0.008403</td>\n",
-       "      <td>POLYGON ((612577.979 5039723.213, 612599.333 5...</td>\n",
-       "      <td>2434.504492</td>\n",
-       "      <td>1800-1945</td>\n",
-       "      <td>Mega office</td>\n",
-       "      <td>10+ floors</td>\n",
-       "      <td>lod1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>485175</th>\n",
-       "      <td>175001</td>\n",
-       "      <td>01000003</td>\n",
-       "      <td>425</td>\n",
-       "      <td>425</td>\n",
-       "      <td>avenue Viger Ouest  (MTL)</td>\n",
-       "      <td>50</td>\n",
-       "      <td>6000</td>\n",
-       "      <td>Immeuble à bureaux</td>\n",
-       "      <td>Régulier</td>\n",
-       "      <td>48</td>\n",
-       "      <td>...</td>\n",
-       "      <td>POLYGON ((-73.56292 45.50347, -73.56307 45.503...</td>\n",
-       "      <td>1861</td>\n",
-       "      <td>1.901155</td>\n",
-       "      <td>0.020833</td>\n",
-       "      <td>POLYGON ((612267.024 5039886.172, 612256.095 5...</td>\n",
-       "      <td>1961.248656</td>\n",
-       "      <td>1800-1945</td>\n",
-       "      <td>Mega office</td>\n",
-       "      <td>10+ floors</td>\n",
-       "      <td>lod1</td>\n",
-       "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>12 rows × 32 columns</p>\n",
+       "<p>5 rows × 32 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "        OBJECTID    ID_UEV  CIVIQUE_DE  CIVIQUE_FI  \\\n",
-       "17013      36076  05030608        4477        5605   \n",
-       "472072    152835  05027487        2200        2222   \n",
-       "471096    144149  02064363        2030        2050   \n",
-       "472085    162723  01093039        3725        3747   \n",
-       "471086    134507  01031375        5505        5505   \n",
-       "409455     83039  03043402        7250        7250   \n",
-       "112625    156412  05241231        1431        1431   \n",
-       "471961    118574  03078491        7035        7077   \n",
-       "33407     131897  01039182        1000        1022   \n",
-       "472941    176229  01045045        1000        1000   \n",
-       "485854    173143  01036696         360         360   \n",
-       "485175    175001  01000003         425         425   \n",
+       "        OBJECTID   ID_UEV  CIVIQUE_DE  CIVIQUE_FI  \\\n",
+       "17013      36076  5030608        4477        5605   \n",
+       "471096    144149  2064363        2030        2050   \n",
+       "409455     83039  3043402        7250        7250   \n",
+       "112625    156412  5241231        1431        1431   \n",
+       "471961    118574  3078491        7035        7077   \n",
        "\n",
-       "                                      NOM_RUE  MUNICIPALI  CODE_UTILI  \\\n",
-       "17013         boulevard Pie-IX  (MTL+MTN+SLN)          50        6000   \n",
-       "472072    rue Sainte-Catherine Est  (MTE+MTL)          50        6000   \n",
-       "471096        boulevard Pie-IX  (MTL+MTN+SLN)          50        6000   \n",
-       "472085                 rue Saint-Denis  (MTL)          50        6000   \n",
-       "471086         boulevard Saint-Laurent  (MTL)          50        6000   \n",
-       "409455                     rue Marconi  (MTL)          50        6000   \n",
-       "112625                      rue Fullum  (MTL)          50        6000   \n",
-       "471961                  avenue du Parc  (MTL)          50        6000   \n",
-       "33407   rue Sainte-Catherine Ouest  (MTL+WMT)          50        6000   \n",
-       "472941         rue Saint-Antoine Ouest  (MTL)          50        6000   \n",
-       "485854               rue Saint-Jacques  (MTL)          50        6000   \n",
-       "485175              avenue Viger Ouest  (MTL)          50        6000   \n",
+       "                                NOM_RUE  MUNICIPALI  CODE_UTILI  \\\n",
+       "17013   boulevard Pie-IX  (MTL+MTN+SLN)          50        6000   \n",
+       "471096  boulevard Pie-IX  (MTL+MTN+SLN)          50        6000   \n",
+       "409455               rue Marconi  (MTL)          50        6000   \n",
+       "112625                rue Fullum  (MTL)          50        6000   \n",
+       "471961            avenue du Parc  (MTL)          50        6000   \n",
        "\n",
        "                LIBELLE_UT   CATEGORIE_  Hieght_LiD  ...  \\\n",
        "17013   Immeuble à bureaux     Régulier          20  ...   \n",
-       "472072  Immeuble à bureaux     Régulier          33  ...   \n",
        "471096  Immeuble à bureaux     Régulier          29  ...   \n",
-       "472085  Immeuble à bureaux     Régulier          45  ...   \n",
-       "471086  Immeuble à bureaux     Régulier          21  ...   \n",
        "409455  Immeuble à bureaux     Régulier          17  ...   \n",
        "112625  Immeuble à bureaux  Condominium          36  ...   \n",
        "471961  Immeuble à bureaux     Régulier          31  ...   \n",
-       "33407   Immeuble à bureaux     Régulier          54  ...   \n",
-       "472941  Immeuble à bureaux     Régulier          35  ...   \n",
-       "485854  Immeuble à bureaux     Régulier         119  ...   \n",
-       "485175  Immeuble à bureaux     Régulier          48  ...   \n",
        "\n",
        "                                                 geometry  ANNEE_CONS  \\\n",
        "17013   POLYGON ((-73.56772 45.55916, -73.56775 45.559...        1930   \n",
-       "472072  POLYGON ((-73.54821 45.52677, -73.54826 45.526...        1930   \n",
        "471096  POLYGON ((-73.54215 45.54976, -73.54201 45.549...        1918   \n",
-       "472085  POLYGON ((-73.57149 45.51994, -73.57147 45.519...        1885   \n",
-       "471086  POLYGON ((-73.59821 45.52639, -73.59820 45.526...        1903   \n",
        "409455  POLYGON ((-73.62166 45.53210, -73.62203 45.532...        1941   \n",
        "112625  POLYGON ((-73.54871 45.52839, -73.54885 45.528...        1920   \n",
        "471961  POLYGON ((-73.61942 45.53031, -73.62015 45.530...        1940   \n",
-       "33407   POLYGON ((-73.57214 45.49979, -73.57161 45.500...        1937   \n",
-       "472941  POLYGON ((-73.56513 45.49721, -73.56484 45.497...        1925   \n",
-       "485854  POLYGON ((-73.55898 45.50195, -73.55870 45.502...        1928   \n",
-       "485175  POLYGON ((-73.56292 45.50347, -73.56307 45.503...        1861   \n",
        "\n",
        "        New_AspectRatio  New_SurfacetoVolumeRatio  \\\n",
        "17013          1.954238                  0.050000   \n",
-       "472072         1.436573                  0.030303   \n",
        "471096         1.750785                  0.034483   \n",
-       "472085         1.673016                  0.022222   \n",
-       "471086         2.148360                  0.047619   \n",
        "409455         1.611822                  0.058824   \n",
        "112625         1.142879                  0.027778   \n",
        "471961         1.442995                  0.032258   \n",
-       "33407          1.332875                  0.018519   \n",
-       "472941         1.577369                  0.028571   \n",
-       "485854         1.401016                  0.008403   \n",
-       "485175         1.901155                  0.020833   \n",
        "\n",
        "                                     transformed_geometry  calculated_area  \\\n",
        "17013   POLYGON ((611782.360 5046066.630, 611779.902 5...        48.162656   \n",
-       "472072  POLYGON ((613370.075 5042495.465, 613365.907 5...      8527.804906   \n",
        "471096  POLYGON ((613796.289 5045058.422, 613807.075 5...      7301.335267   \n",
-       "472085  POLYGON ((611565.344 5041704.476, 611566.649 5...      7065.295017   \n",
-       "471086  POLYGON ((609465.659 5042383.651, 609466.736 5...      4884.011552   \n",
        "409455  POLYGON ((607624.013 5042987.071, 607594.312 5...      4358.896214   \n",
        "112625  POLYGON ((613327.397 5042674.552, 613316.075 5...      3953.598369   \n",
        "471961  POLYGON ((607802.244 5042791.156, 607744.954 5...      3937.447553   \n",
-       "33407   POLYGON ((611554.145 5039464.894, 611594.441 5...      3767.206358   \n",
-       "472941  POLYGON ((612106.852 5039187.362, 612129.347 5...      2476.308750   \n",
-       "485854  POLYGON ((612577.979 5039723.213, 612599.333 5...      2434.504492   \n",
-       "485175  POLYGON ((612267.024 5039886.172, 612256.095 5...      1961.248656   \n",
        "\n",
        "        YearGroup  Building_Size  Building_Floors   lod  \n",
        "17013   1800-1945    Mega office       4-9 floors  lod1  \n",
-       "472072  1800-1945    Mega office       4-9 floors  lod1  \n",
        "471096  1800-1945    Mega office       4-9 floors  lod1  \n",
-       "472085  1800-1945    Mega office       10+ floors  lod1  \n",
-       "471086  1800-1945    Mega office       4-9 floors  lod1  \n",
        "409455  1800-1945    Mega office       4-9 floors  lod1  \n",
        "112625  1800-1945    Mega office       4-9 floors  lod1  \n",
        "471961  1800-1945    Mega office       4-9 floors  lod1  \n",
-       "33407   1800-1945    Mega office       10+ floors  lod1  \n",
-       "472941  1800-1945    Mega office       4-9 floors  lod1  \n",
-       "485854  1800-1945    Mega office       10+ floors  lod1  \n",
-       "485175  1800-1945    Mega office       10+ floors  lod1  \n",
        "\n",
-       "[12 rows x 32 columns]"
+       "[5 rows x 32 columns]"
       ]
      },
-     "execution_count": 70,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2705,7 +2494,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2744,48 +2533,48 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 71,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "C:\\Users\\m_osm\\AppData\\Local\\Temp\\ipykernel_30908\\2099111669.py:27: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n",
+      "C:\\Users\\m_hamsai\\AppData\\Local\\Temp\\ipykernel_20448\\2099111669.py:27: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n",
       "  sample = pd.concat([sample, lod1_sample])\n",
-      "C:\\Users\\m_osm\\AppData\\Local\\Temp\\ipykernel_30908\\2099111669.py:27: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n",
+      "C:\\Users\\m_hamsai\\AppData\\Local\\Temp\\ipykernel_20448\\2099111669.py:27: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n",
       "  sample = pd.concat([sample, lod1_sample])\n",
-      "C:\\Users\\m_osm\\AppData\\Local\\Temp\\ipykernel_30908\\2099111669.py:27: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n",
+      "C:\\Users\\m_hamsai\\AppData\\Local\\Temp\\ipykernel_20448\\2099111669.py:27: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n",
       "  sample = pd.concat([sample, lod1_sample])\n",
-      "C:\\Users\\m_osm\\AppData\\Local\\Temp\\ipykernel_30908\\2099111669.py:27: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n",
+      "C:\\Users\\m_hamsai\\AppData\\Local\\Temp\\ipykernel_20448\\2099111669.py:27: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n",
       "  sample = pd.concat([sample, lod1_sample])\n",
-      "C:\\Users\\m_osm\\AppData\\Local\\Temp\\ipykernel_30908\\2099111669.py:27: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n",
+      "C:\\Users\\m_hamsai\\AppData\\Local\\Temp\\ipykernel_20448\\2099111669.py:27: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n",
       "  sample = pd.concat([sample, lod1_sample])\n",
-      "C:\\Users\\m_osm\\AppData\\Local\\Temp\\ipykernel_30908\\2099111669.py:27: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n",
+      "C:\\Users\\m_hamsai\\AppData\\Local\\Temp\\ipykernel_20448\\2099111669.py:27: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n",
       "  sample = pd.concat([sample, lod1_sample])\n",
-      "C:\\Users\\m_osm\\AppData\\Local\\Temp\\ipykernel_30908\\2099111669.py:27: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n",
+      "C:\\Users\\m_hamsai\\AppData\\Local\\Temp\\ipykernel_20448\\2099111669.py:27: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n",
       "  sample = pd.concat([sample, lod1_sample])\n",
-      "C:\\Users\\m_osm\\AppData\\Local\\Temp\\ipykernel_30908\\2099111669.py:27: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n",
+      "C:\\Users\\m_hamsai\\AppData\\Local\\Temp\\ipykernel_20448\\2099111669.py:27: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n",
       "  sample = pd.concat([sample, lod1_sample])\n",
-      "C:\\Users\\m_osm\\AppData\\Local\\Temp\\ipykernel_30908\\2099111669.py:27: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n",
+      "C:\\Users\\m_hamsai\\AppData\\Local\\Temp\\ipykernel_20448\\2099111669.py:27: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n",
       "  sample = pd.concat([sample, lod1_sample])\n",
-      "C:\\Users\\m_osm\\AppData\\Local\\Temp\\ipykernel_30908\\2099111669.py:27: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n",
+      "C:\\Users\\m_hamsai\\AppData\\Local\\Temp\\ipykernel_20448\\2099111669.py:27: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n",
       "  sample = pd.concat([sample, lod1_sample])\n",
-      "C:\\Users\\m_osm\\AppData\\Local\\Temp\\ipykernel_30908\\2099111669.py:27: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n",
+      "C:\\Users\\m_hamsai\\AppData\\Local\\Temp\\ipykernel_20448\\2099111669.py:27: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n",
       "  sample = pd.concat([sample, lod1_sample])\n",
-      "C:\\Users\\m_osm\\AppData\\Local\\Temp\\ipykernel_30908\\2099111669.py:27: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n",
+      "C:\\Users\\m_hamsai\\AppData\\Local\\Temp\\ipykernel_20448\\2099111669.py:27: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n",
       "  sample = pd.concat([sample, lod1_sample])\n",
-      "C:\\Users\\m_osm\\AppData\\Local\\Temp\\ipykernel_30908\\2099111669.py:27: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n",
+      "C:\\Users\\m_hamsai\\AppData\\Local\\Temp\\ipykernel_20448\\2099111669.py:27: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n",
       "  sample = pd.concat([sample, lod1_sample])\n",
-      "C:\\Users\\m_osm\\AppData\\Local\\Temp\\ipykernel_30908\\2099111669.py:27: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n",
+      "C:\\Users\\m_hamsai\\AppData\\Local\\Temp\\ipykernel_20448\\2099111669.py:27: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n",
       "  sample = pd.concat([sample, lod1_sample])\n",
-      "C:\\Users\\m_osm\\AppData\\Local\\Temp\\ipykernel_30908\\2099111669.py:27: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n",
+      "C:\\Users\\m_hamsai\\AppData\\Local\\Temp\\ipykernel_20448\\2099111669.py:27: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n",
       "  sample = pd.concat([sample, lod1_sample])\n",
-      "C:\\Users\\m_osm\\AppData\\Local\\Temp\\ipykernel_30908\\2099111669.py:27: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n",
+      "C:\\Users\\m_hamsai\\AppData\\Local\\Temp\\ipykernel_20448\\2099111669.py:27: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n",
       "  sample = pd.concat([sample, lod1_sample])\n",
-      "C:\\Users\\m_osm\\AppData\\Local\\Temp\\ipykernel_30908\\2099111669.py:27: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n",
+      "C:\\Users\\m_hamsai\\AppData\\Local\\Temp\\ipykernel_20448\\2099111669.py:27: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n",
       "  sample = pd.concat([sample, lod1_sample])\n",
-      "C:\\Users\\m_osm\\AppData\\Local\\Temp\\ipykernel_30908\\2099111669.py:27: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n",
+      "C:\\Users\\m_hamsai\\AppData\\Local\\Temp\\ipykernel_20448\\2099111669.py:27: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n",
       "  sample = pd.concat([sample, lod1_sample])\n"
      ]
     }
@@ -2797,7 +2586,4199 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 76,
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'detached': {'1800-1945': {'Single-Use Office':    OBJECTID   ID_UEV  CIVIQUE_DE  CIVIQUE_FI  \\\n",
+       "   0     33543  2054302        5795        5797   \n",
+       "   1    255719  4033426         750         750   \n",
+       "   2    253493  4142920         696         696   \n",
+       "   3    318371  4003482       12047       12047   \n",
+       "   4    256912  4039580        1660        1660   \n",
+       "   5     46629  2067260           3           3   \n",
+       "   \n",
+       "                                       NOM_RUE  MUNICIPALI  CODE_UTILI  \\\n",
+       "   0                  rue Hochelaga  (MTE+MTL)          50        6000   \n",
+       "   1                avenue Sainte-Croix  (SLR)          50        6000   \n",
+       "   2                avenue Sainte-Croix  (SLR)          50        6000   \n",
+       "   3  boulevard Gouin Ouest  (MTL+PFD+ROX+SGV)          50        6000   \n",
+       "   4         boulevard de la Côte-Vertu  (SLR)          50        6000   \n",
+       "   5                        avenue Dubé  (MTE)          14        6000   \n",
+       "   \n",
+       "              LIBELLE_UT CATEGORIE_  Hieght_LiD  ...  \\\n",
+       "   0  Immeuble à bureaux   Régulier           8  ...   \n",
+       "   1  Immeuble à bureaux   Régulier          10  ...   \n",
+       "   2  Immeuble à bureaux   Régulier          12  ...   \n",
+       "   3  Immeuble à bureaux   Régulier           6  ...   \n",
+       "   4  Immeuble à bureaux   Régulier           9  ...   \n",
+       "   5  Immeuble à bureaux   Régulier          12  ...   \n",
+       "   \n",
+       "                                               geometry  ANNEE_CONS  \\\n",
+       "   0  POLYGON ((-73.53748 45.57105, -73.53748 45.571...        1943   \n",
+       "   1  POLYGON ((-73.67478 45.51291, -73.67487 45.512...        1905   \n",
+       "   2  POLYGON ((-73.67435 45.51252, -73.67425 45.512...        1940   \n",
+       "   3  POLYGON ((-73.82658 45.50693, -73.82660 45.506...        1860   \n",
+       "   4  POLYGON ((-73.68495 45.51208, -73.68505 45.512...        1941   \n",
+       "   5  POLYGON ((-73.49497 45.63181, -73.49512 45.631...        1924   \n",
+       "   \n",
+       "      New_AspectRatio  New_SurfacetoVolumeRatio  \\\n",
+       "   0         1.072307                  0.125000   \n",
+       "   1         1.649543                  0.100000   \n",
+       "   2         1.418490                  0.083333   \n",
+       "   3         1.431745                  0.166667   \n",
+       "   4         1.688840                  0.111111   \n",
+       "   5         1.525413                  0.083333   \n",
+       "   \n",
+       "                                   transformed_geometry  calculated_area  \\\n",
+       "   0  POLYGON ((614117.951 5047430.762, 614118.070 5...       161.256352   \n",
+       "   1  POLYGON ((603511.632 5040784.906, 603504.114 5...       131.655214   \n",
+       "   2  POLYGON ((603545.489 5040741.687, 603553.137 5...       132.971399   \n",
+       "   3  POLYGON ((591664.288 5039935.549, 591662.930 5...       116.787306   \n",
+       "   4  POLYGON ((602718.619 5040679.800, 602710.450 5...       134.268314   \n",
+       "   5  POLYGON ((617308.019 5054241.761, 617296.500 5...       124.719933   \n",
+       "   \n",
+       "      YearGroup      Building_Size  Building_Floors   lod  \n",
+       "   0  1800-1945  Single use office         2 floors  lod1  \n",
+       "   1  1800-1945  Single use office         3 floors  lod1  \n",
+       "   2  1800-1945  Single use office         3 floors  lod1  \n",
+       "   3  1800-1945  Single use office         2 floors  lod1  \n",
+       "   4  1800-1945  Single use office         3 floors  lod1  \n",
+       "   5  1800-1945  Single use office         3 floors  lod1  \n",
+       "   \n",
+       "   [6 rows x 32 columns],\n",
+       "   'Small Office':    OBJECTID   ID_UEV  CIVIQUE_DE  CIVIQUE_FI  \\\n",
+       "   0    202639  3113553        3034        3034   \n",
+       "   1    110005  5253351         440         440   \n",
+       "   2    216043  1008463        4434        4434   \n",
+       "   \n",
+       "                                    NOM_RUE  MUNICIPALI  CODE_UTILI  \\\n",
+       "   0     boulevard Édouard-Montpetit  (MTL)          50        6000   \n",
+       "   1         boulevard Gouin Est  (MTL+MTN)          50        6000   \n",
+       "   2  rue Sainte-Catherine Ouest  (MTL+WMT)          29        6000   \n",
+       "   \n",
+       "              LIBELLE_UT   CATEGORIE_  Hieght_LiD  ...  \\\n",
+       "   0  Immeuble à bureaux     Régulier          12  ...   \n",
+       "   1  Immeuble à bureaux  Condominium           9  ...   \n",
+       "   2  Immeuble à bureaux     Régulier          11  ...   \n",
+       "   \n",
+       "                                               geometry  ANNEE_CONS  \\\n",
+       "   0  POLYGON ((-73.61972048700754 45.50172164148412...        1931   \n",
+       "   1  POLYGON ((-73.67128170869384 45.55510794937027...        1932   \n",
+       "   2  POLYGON ((-73.5915745756186 45.481920238887525...        1921   \n",
+       "   \n",
+       "      New_AspectRatio  New_SurfacetoVolumeRatio  \\\n",
+       "   0         1.688169                  0.083333   \n",
+       "   1         2.042917                  0.111111   \n",
+       "   2         1.796718                  0.090909   \n",
+       "   \n",
+       "                                   transformed_geometry  calculated_area  \\\n",
+       "   0  POLYGON ((607833.3689564834 5039614.314192627,...       243.963584   \n",
+       "   1  POLYGON ((603707.0273769288 5045477.444292259,...       184.750156   \n",
+       "   2  POLYGON ((610070.8138603516 5037452.625594027,...       252.206015   \n",
+       "   \n",
+       "      YearGroup  Building_Size  Building_Floors    lod  \n",
+       "   0  1800-1945   Small office         3 floors  lod_2  \n",
+       "   1  1800-1945   Small office         3 floors   lod1  \n",
+       "   2  1800-1945   Small office         3 floors   lod1  \n",
+       "   \n",
+       "   [3 rows x 32 columns],\n",
+       "   'Medium Office':     OBJECTID   ID_UEV  CIVIQUE_DE  CIVIQUE_FI  \\\n",
+       "   0     179128  1127313         354         368   \n",
+       "   1     166914  1002578         155         157   \n",
+       "   2     163548  1027994        1150        1150   \n",
+       "   3     180493  1037721        3610        3610   \n",
+       "   4     221950  3110827        3800        3810   \n",
+       "   5     181832  5132157        1980        1980   \n",
+       "   6      86706  3045558         660         660   \n",
+       "   7     176223  1004413         912         932   \n",
+       "   8     170204  5276366         257         257   \n",
+       "   9      35183  5005904        3925        3925   \n",
+       "   10     93498  3060458          39          39   \n",
+       "   11    111706  3016228        7275        7275   \n",
+       "   12    177623  1005266        1302        1304   \n",
+       "   13     54910  2037724        5555        5695   \n",
+       "   14    127637  3008262        6839        6839   \n",
+       "   \n",
+       "                                        NOM_RUE  MUNICIPALI  CODE_UTILI  \\\n",
+       "   0           rue Marguerite-D'Youville  (MTL)          50        6000   \n",
+       "   1          boulevard Saint-Joseph Est  (MTL)          50        6000   \n",
+       "   2          boulevard Saint-Joseph Est  (MTL)          50        6000   \n",
+       "   3                        rue McTavish  (MTL)          50        6000   \n",
+       "   4                   rue Jean-Brillant  (MTL)          50        6000   \n",
+       "   5       boulevard René-Lévesque Ouest  (MTL)          50        6000   \n",
+       "   6                    rue Villeray  (MTL+SLN)          50        6000   \n",
+       "   7            rue Notre-Dame Ouest  (MTL+MTO)          50        6000   \n",
+       "   8              rue Sherbrooke Est  (MTE+MTL)          50        6000   \n",
+       "   9                      rue Rachel Est  (MTL)          50        6000   \n",
+       "   10  boulevard Gouin Ouest  (MTL+PFD+ROX+SGV)          50        6000   \n",
+       "   11                   rue Saint-Urbain  (MTL)          50        6000   \n",
+       "   12                  avenue Greene  (MTL+WMT)          29        6000   \n",
+       "   13             avenue des Marronniers  (MTL)          50        6000   \n",
+       "   14                         rue Drolet  (MTL)          50        6000   \n",
+       "   \n",
+       "               LIBELLE_UT CATEGORIE_  Hieght_LiD  ...  \\\n",
+       "   0   Immeuble à bureaux   Régulier          19  ...   \n",
+       "   1   Immeuble à bureaux   Régulier          20  ...   \n",
+       "   2   Immeuble à bureaux   Régulier          16  ...   \n",
+       "   3   Immeuble à bureaux   Régulier          20  ...   \n",
+       "   4   Immeuble à bureaux   Régulier          15  ...   \n",
+       "   5   Immeuble à bureaux   Régulier          17  ...   \n",
+       "   6   Immeuble à bureaux   Régulier          15  ...   \n",
+       "   7   Immeuble à bureaux   Régulier          20  ...   \n",
+       "   8   Immeuble à bureaux   Régulier          21  ...   \n",
+       "   9   Immeuble à bureaux   Régulier          11  ...   \n",
+       "   10  Immeuble à bureaux   Régulier          13  ...   \n",
+       "   11  Immeuble à bureaux   Régulier          19  ...   \n",
+       "   12  Immeuble à bureaux   Régulier          16  ...   \n",
+       "   13  Immeuble à bureaux   Régulier          22  ...   \n",
+       "   14  Immeuble à bureaux   Régulier          16  ...   \n",
+       "   \n",
+       "                                                geometry  ANNEE_CONS  \\\n",
+       "   0   POLYGON ((-73.55357584560359 45.50003137387987...        1840   \n",
+       "   1   POLYGON ((-73.58994327802625 45.52425424681618...        1910   \n",
+       "   2   POLYGON ((-73.58307347727983 45.53072844750357...        1944   \n",
+       "   3   POLYGON ((-73.57881247271834 45.50403004338719...        1941   \n",
+       "   4   POLYGON ((-73.62246658797032 45.49468464094329...        1940   \n",
+       "   5   POLYGON ((-73.57868127272695 45.48962374101067...        1875   \n",
+       "   6   POLYGON ((-73.62148989043168 45.54317674865700...        1931   \n",
+       "   7   POLYGON ((-73.56181536699718 45.4971099433466,...        1875   \n",
+       "   8   POLYGON ((-73.56822847093133 45.51557884617922...        1925   \n",
+       "   9   POLYGON ((-73.55628316932697 45.55303045225584...        1931   \n",
+       "   10  POLYGON ((-73.67566830932931 45.55117684774554...        1910   \n",
+       "   11  POLYGON ((-73.62020068990441 45.53427134745561...        1945   \n",
+       "   12  POLYGON ((-73.58988207626251 45.48678013967197...        1907   \n",
+       "   13  POLYGON ((-73.56263747340505 45.5702150550804,...        1944   \n",
+       "   14  POLYGON ((-73.61166118675928 45.53637354768533...        1925   \n",
+       "   \n",
+       "       New_AspectRatio  New_SurfacetoVolumeRatio  \\\n",
+       "   0          0.989552                  0.052632   \n",
+       "   1          1.340450                  0.050000   \n",
+       "   2          1.339943                  0.062500   \n",
+       "   3          1.248464                  0.050000   \n",
+       "   4          1.113768                  0.066667   \n",
+       "   5          1.782927                  0.058824   \n",
+       "   6          1.222761                  0.066667   \n",
+       "   7          0.936092                  0.050000   \n",
+       "   8          1.332484                  0.047619   \n",
+       "   9          1.836119                  0.090909   \n",
+       "   10         1.500583                  0.076923   \n",
+       "   11         1.576520                  0.052632   \n",
+       "   12         1.308403                  0.062500   \n",
+       "   13         1.475938                  0.045455   \n",
+       "   14         1.595681                  0.062500   \n",
+       "   \n",
+       "                                    transformed_geometry  calculated_area  \\\n",
+       "   0   POLYGON ((613004.2374124067 5039517.47036642, ...       870.686637   \n",
+       "   1   POLYGON ((610115.7254541751 5042158.026700852,...       819.509708   \n",
+       "   2   POLYGON ((610639.5122928678 5042886.737087365,...       735.395029   \n",
+       "   3   POLYGON ((611024.7301951373 5039926.509907532,...       594.544072   \n",
+       "   4   POLYGON ((607632.2409162371 5038828.844305875,...       264.208788   \n",
+       "   5   POLYGON ((611063.3020222827 5038326.201703701,...       219.213072   \n",
+       "   6   POLYGON ((607616.0569996743 5044217.477693514,...       286.000285   \n",
+       "   7   POLYGON ((612366.3253923479 5039181.349360212,...       509.036366   \n",
+       "   8   POLYGON ((611828.6844698127 5041224.230608819,...       730.037873   \n",
+       "   9   POLYGON ((612686.832337402 5045401.703964273, ...      1057.002626   \n",
+       "   10  POLYGON ((603371.8603206617 5045035.048220949,...       352.543372   \n",
+       "   11  POLYGON ((607733.7090482257 5043229.841265904,...       855.487009   \n",
+       "   12  POLYGON ((610193.6080672505 5037994.862670045,...       565.458913   \n",
+       "   13  POLYGON ((612156.6556707022 5047301.969078001,...       384.892489   \n",
+       "   14  POLYGON ((608396.4252759346 5043474.886855796,...       684.797865   \n",
+       "   \n",
+       "       YearGroup  Building_Size  Building_Floors    lod  \n",
+       "   0   1800-1945  Medium office       4-9 floors  lod_2  \n",
+       "   1   1800-1945  Medium office       4-9 floors  lod_2  \n",
+       "   2   1800-1945  Medium office       4-9 floors  lod_2  \n",
+       "   3   1800-1945  Medium office       4-9 floors  lod_2  \n",
+       "   4   1800-1945  Medium office       4-9 floors  lod_2  \n",
+       "   5   1800-1945  Medium office       4-9 floors  lod_2  \n",
+       "   6   1800-1945  Medium office       4-9 floors   lod1  \n",
+       "   7   1800-1945  Medium office       4-9 floors   lod1  \n",
+       "   8   1800-1945  Medium office       4-9 floors   lod1  \n",
+       "   9   1800-1945  Medium office         3 floors   lod1  \n",
+       "   10  1800-1945  Medium office       4-9 floors   lod1  \n",
+       "   11  1800-1945  Medium office       4-9 floors   lod1  \n",
+       "   12  1800-1945  Medium office       4-9 floors   lod1  \n",
+       "   13  1800-1945  Medium office       4-9 floors   lod1  \n",
+       "   14  1800-1945  Medium office       4-9 floors   lod1  \n",
+       "   \n",
+       "   [15 rows x 32 columns],\n",
+       "   'Large Office':     OBJECTID   ID_UEV  CIVIQUE_DE  CIVIQUE_FI  \\\n",
+       "   0     153289  1019543         901         905   \n",
+       "   1     169046  1002940        2000        2000   \n",
+       "   2     167606  1022229        1594        1600   \n",
+       "   3     163693  1002156           1          27   \n",
+       "   4     174113  1004222         636         640   \n",
+       "   5     181018  1004200         740         740   \n",
+       "   6     146682  2155281        3610        3622   \n",
+       "   7     178170  5082059         401         409   \n",
+       "   8     209820  5110665         730         780   \n",
+       "   9     182198  1006237        4221        4229   \n",
+       "   10    182389  5003508         265         265   \n",
+       "   11     90439  3014385         911         931   \n",
+       "   \n",
+       "                                     NOM_RUE  MUNICIPALI  CODE_UTILI  \\\n",
+       "   0               avenue De Lorimier  (MTL)          50        6000   \n",
+       "   1                        rue Berri  (MTL)          50        6000   \n",
+       "   2               avenue De Lorimier  (MTL)          50        6000   \n",
+       "   3       avenue du Mont-Royal Ouest  (MTL)          50        6000   \n",
+       "   4             rue Saint-Paul Ouest  (MTL)          50        6000   \n",
+       "   5                rue Saint-Maurice  (MTL)          50        6000   \n",
+       "   6                rue Hochelaga  (MTE+MTL)          50        6000   \n",
+       "   7                       rue McGill  (MTL)          50        6000   \n",
+       "   8                  avenue Brewster  (MTL)          50        6000   \n",
+       "   9   rue Sainte-Catherine Ouest  (MTL+WMT)          29        6000   \n",
+       "   10                rue Saint-Martin  (MTL)          50        6000   \n",
+       "   11      rue Jean-Talon Est  (ANJ+MTL+SLN)          50        6000   \n",
+       "   \n",
+       "               LIBELLE_UT CATEGORIE_  Hieght_LiD  ...  \\\n",
+       "   0   Immeuble à bureaux   Régulier          24  ...   \n",
+       "   1   Immeuble à bureaux   Régulier          17  ...   \n",
+       "   2   Immeuble à bureaux   Régulier          30  ...   \n",
+       "   3   Immeuble à bureaux   Régulier          17  ...   \n",
+       "   4   Immeuble à bureaux   Régulier          29  ...   \n",
+       "   5   Immeuble à bureaux   Régulier          28  ...   \n",
+       "   6   Immeuble à bureaux   Régulier          26  ...   \n",
+       "   7   Immeuble à bureaux   Régulier          52  ...   \n",
+       "   8   Immeuble à bureaux   Régulier          14  ...   \n",
+       "   9   Immeuble à bureaux   Régulier          16  ...   \n",
+       "   10  Immeuble à bureaux   Régulier          17  ...   \n",
+       "   11  Immeuble à bureaux   Régulier          22  ...   \n",
+       "   \n",
+       "                                                geometry  ANNEE_CONS  \\\n",
+       "   0   POLYGON ((-73.54638376381602 45.52405464848511...        1890   \n",
+       "   1   POLYGON ((-73.56561076966538 45.51690774615746...        1923   \n",
+       "   2   POLYGON ((-73.55319996694979 45.52535834808504...        1944   \n",
+       "   3   POLYGON ((-73.58689618208196 45.51968929911061...        1934   \n",
+       "   4   POLYGON ((-73.55743206605163 45.49914864394272...        1907   \n",
+       "   5   POLYGON ((-73.55998086241837 45.49844044903734...        1919   \n",
+       "   6   POLYGON ((-73.55054176709 45.54738885249854, -...        1931   \n",
+       "   7   POLYGON ((-73.55750966598886 45.50068634327135...        1921   \n",
+       "   8   POLYGON ((-73.58343467397329 45.48293873978119...        1900   \n",
+       "   9   POLYGON ((-73.58829047490227 45.48581203913751...        1941   \n",
+       "   10  POLYGON ((-73.56609460233156 45.48711897093143...        1880   \n",
+       "   11  POLYGON ((-73.61345858832816 45.54193394840983...        1914   \n",
+       "   \n",
+       "       New_AspectRatio  New_SurfacetoVolumeRatio  \\\n",
+       "   0          1.091199                  0.041667   \n",
+       "   1          1.467982                  0.058824   \n",
+       "   2          1.394628                  0.033333   \n",
+       "   3          1.287964                  0.058824   \n",
+       "   4          1.652438                  0.034483   \n",
+       "   5          1.146738                  0.035714   \n",
+       "   6          1.240844                  0.038462   \n",
+       "   7          1.747381                  0.019231   \n",
+       "   8          1.562697                  0.071429   \n",
+       "   9          1.120438                  0.062500   \n",
+       "   10         1.275751                  0.058824   \n",
+       "   11         1.570902                  0.045455   \n",
+       "   \n",
+       "                                    transformed_geometry  calculated_area  \\\n",
+       "   0   POLYGON ((613517.8131104545 5042196.52256958, ...      2688.238150   \n",
+       "   1   POLYGON ((612030.5021291529 5041375.516366102,...      2033.297269   \n",
+       "   2   POLYGON ((612982.9043800104 5042331.744035222,...      1854.768088   \n",
+       "   3   POLYGON ((610362.6084117013 5041655.058906012,...      1775.160719   \n",
+       "   4   POLYGON ((612704.7264067531 5039413.983530381,...       984.096828   \n",
+       "   5   POLYGON ((612507.005770748 5039331.732021249, ...      1194.598314   \n",
+       "   6   POLYGON ((613146.2872518736 5044783.015688483,...       785.535984   \n",
+       "   7   POLYGON ((612695.5954251632 5039584.707694489,...       994.083765   \n",
+       "   8   POLYGON ((610704.963719424 5037576.961693304, ...      2790.741753   \n",
+       "   9   POLYGON ((610319.8733402407 5037889.494738109,...      1221.629713   \n",
+       "   10  POLYGON ((612051.8013503116 5038065.410546606,...      1605.954336   \n",
+       "   11  POLYGON ((608245.4193782158 5044090.206534011,...      2524.373074   \n",
+       "   \n",
+       "       YearGroup  Building_Size  Building_Floors    lod  \n",
+       "   0   1800-1945   Large office       4-9 floors  lod_2  \n",
+       "   1   1800-1945   Large office       4-9 floors  lod_2  \n",
+       "   2   1800-1945   Large office       4-9 floors  lod_2  \n",
+       "   3   1800-1945   Large office       4-9 floors  lod_2  \n",
+       "   4   1800-1945   Large office       4-9 floors  lod_2  \n",
+       "   5   1800-1945   Large office       4-9 floors   lod1  \n",
+       "   6   1800-1945   Large office       4-9 floors   lod1  \n",
+       "   7   1800-1945   Large office       10+ floors   lod1  \n",
+       "   8   1800-1945   Large office       4-9 floors   lod1  \n",
+       "   9   1800-1945   Large office       4-9 floors   lod1  \n",
+       "   10  1800-1945   Large office       4-9 floors   lod1  \n",
+       "   11  1800-1945   Large office       4-9 floors   lod1  \n",
+       "   \n",
+       "   [12 rows x 32 columns],\n",
+       "   'Mega Office':     OBJECTID   ID_UEV  CIVIQUE_DE  CIVIQUE_FI  \\\n",
+       "   0     152835  5027487        2200        2222   \n",
+       "   1     162723  1093039        3725        3747   \n",
+       "   2     134507  1031375        5505        5505   \n",
+       "   3     131897  1039182        1000        1022   \n",
+       "   4     176229  1045045        1000        1000   \n",
+       "   5     173143  1036696         360         360   \n",
+       "   6     175001  1000003         425         425   \n",
+       "   7      36076  5030608        4477        5605   \n",
+       "   8     156412  5241231        1431        1431   \n",
+       "   9      83039  3043402        7250        7250   \n",
+       "   10    118574  3078491        7035        7077   \n",
+       "   11    144149  2064363        2030        2050   \n",
+       "   \n",
+       "                                     NOM_RUE  MUNICIPALI  CODE_UTILI  \\\n",
+       "   0     rue Sainte-Catherine Est  (MTE+MTL)          50        6000   \n",
+       "   1                  rue Saint-Denis  (MTL)          50        6000   \n",
+       "   2          boulevard Saint-Laurent  (MTL)          50        6000   \n",
+       "   3   rue Sainte-Catherine Ouest  (MTL+WMT)          50        6000   \n",
+       "   4          rue Saint-Antoine Ouest  (MTL)          50        6000   \n",
+       "   5                rue Saint-Jacques  (MTL)          50        6000   \n",
+       "   6               avenue Viger Ouest  (MTL)          50        6000   \n",
+       "   7         boulevard Pie-IX  (MTL+MTN+SLN)          50        6000   \n",
+       "   8                       rue Fullum  (MTL)          50        6000   \n",
+       "   9                      rue Marconi  (MTL)          50        6000   \n",
+       "   10                  avenue du Parc  (MTL)          50        6000   \n",
+       "   11        boulevard Pie-IX  (MTL+MTN+SLN)          50        6000   \n",
+       "   \n",
+       "               LIBELLE_UT   CATEGORIE_  Hieght_LiD  ...  \\\n",
+       "   0   Immeuble à bureaux     Régulier          33  ...   \n",
+       "   1   Immeuble à bureaux     Régulier          45  ...   \n",
+       "   2   Immeuble à bureaux     Régulier          21  ...   \n",
+       "   3   Immeuble à bureaux     Régulier          54  ...   \n",
+       "   4   Immeuble à bureaux     Régulier          35  ...   \n",
+       "   5   Immeuble à bureaux     Régulier         119  ...   \n",
+       "   6   Immeuble à bureaux     Régulier          48  ...   \n",
+       "   7   Immeuble à bureaux     Régulier          20  ...   \n",
+       "   8   Immeuble à bureaux  Condominium          36  ...   \n",
+       "   9   Immeuble à bureaux     Régulier          17  ...   \n",
+       "   10  Immeuble à bureaux     Régulier          31  ...   \n",
+       "   11  Immeuble à bureaux     Régulier          29  ...   \n",
+       "   \n",
+       "                                                geometry  ANNEE_CONS  \\\n",
+       "   0   POLYGON ((-73.54820576510775 45.52676864822449...        1930   \n",
+       "   1   POLYGON ((-73.57148967173404 45.51994244675434...        1885   \n",
+       "   2   POLYGON ((-73.5982145816157 45.52638694651501,...        1903   \n",
+       "   3   POLYGON ((-73.5721427650387 45.49979176551065,...        1937   \n",
+       "   4   POLYGON ((-73.56513396322417 45.49720581059058...        1925   \n",
+       "   5   POLYGON ((-73.55898286507197 45.50195165560664...        1928   \n",
+       "   6   POLYGON ((-73.5629245675038 45.50346814387118,...        1861   \n",
+       "   7   POLYGON ((-73.56771537346711 45.55915945328969...        1930   \n",
+       "   8   POLYGON ((-73.54871066467614 45.52838704877723...        1920   \n",
+       "   9   POLYGON ((-73.62165858970407 45.53210374624675...        1941   \n",
+       "   10  POLYGON ((-73.6194197898169 45.53031324654629,...        1940   \n",
+       "   11  POLYGON ((-73.54215356467779 45.54976105261011...        1918   \n",
+       "   \n",
+       "       New_AspectRatio  New_SurfacetoVolumeRatio  \\\n",
+       "   0          1.436573                  0.030303   \n",
+       "   1          1.673016                  0.022222   \n",
+       "   2          2.148360                  0.047619   \n",
+       "   3          1.332875                  0.018519   \n",
+       "   4          1.577369                  0.028571   \n",
+       "   5          1.401016                  0.008403   \n",
+       "   6          1.901155                  0.020833   \n",
+       "   7          1.954238                  0.050000   \n",
+       "   8          1.142879                  0.027778   \n",
+       "   9          1.611822                  0.058824   \n",
+       "   10         1.442995                  0.032258   \n",
+       "   11         1.750785                  0.034483   \n",
+       "   \n",
+       "                                    transformed_geometry  calculated_area  \\\n",
+       "   0   POLYGON ((613370.0745799394 5042495.465036549,...      8527.804906   \n",
+       "   1   POLYGON ((611565.3436088917 5041704.476042462,...      7065.295017   \n",
+       "   2   POLYGON ((609465.6585284412 5042383.651440187,...      4884.011552   \n",
+       "   3   POLYGON ((611554.1447597386 5039464.894097178,...      3767.206358   \n",
+       "   4   POLYGON ((612106.8518472302 5039187.3624462355...      2476.308750   \n",
+       "   5   POLYGON ((612577.978822547 5039723.213385784, ...      2434.504492   \n",
+       "   6   POLYGON ((612267.0236778263 5039886.172234783,...      1961.248656   \n",
+       "   7   POLYGON ((611782.3597576589 5046066.629733551,...        48.162656   \n",
+       "   8   POLYGON ((613327.3967248463 5042674.551609559,...      3953.598369   \n",
+       "   9   POLYGON ((607624.012826107 5042987.07114132, 6...      4358.896214   \n",
+       "   10  POLYGON ((607802.2439758334 5042791.155852535,...      3937.447553   \n",
+       "   11  POLYGON ((613796.2891026308 5045058.422151775,...      7301.335267   \n",
+       "   \n",
+       "       YearGroup  Building_Size  Building_Floors    lod  \n",
+       "   0   1800-1945    Mega office       4-9 floors  lod_2  \n",
+       "   1   1800-1945    Mega office       10+ floors  lod_2  \n",
+       "   2   1800-1945    Mega office       4-9 floors  lod_2  \n",
+       "   3   1800-1945    Mega office       10+ floors  lod_2  \n",
+       "   4   1800-1945    Mega office       4-9 floors  lod_2  \n",
+       "   5   1800-1945    Mega office       10+ floors  lod_2  \n",
+       "   6   1800-1945    Mega office       10+ floors  lod_2  \n",
+       "   7   1800-1945    Mega office       4-9 floors   lod1  \n",
+       "   8   1800-1945    Mega office       4-9 floors   lod1  \n",
+       "   9   1800-1945    Mega office       4-9 floors   lod1  \n",
+       "   10  1800-1945    Mega office       4-9 floors   lod1  \n",
+       "   11  1800-1945    Mega office       4-9 floors   lod1  \n",
+       "   \n",
+       "   [12 rows x 32 columns]},\n",
+       "  '1946-1979': {'Single-Use Office':    OBJECTID   ID_UEV  CIVIQUE_DE  CIVIQUE_FI  \\\n",
+       "   0    225959  3111534        5100        5100   \n",
+       "   1    179327  1004369         400         400   \n",
+       "   2    215654  4019260        3785        3795   \n",
+       "   \n",
+       "                                             NOM_RUE  MUNICIPALI  CODE_UTILI  \\\n",
+       "   0                         rue de la Savane  (MTL)          50        6000   \n",
+       "   1                        rue de l' Aqueduc  (MTL)          50        6000   \n",
+       "   2  chemin de la Côte-de-Liesse  (DVL+LCH+MTR+SLR)          50        6000   \n",
+       "   \n",
+       "              LIBELLE_UT CATEGORIE_  Hieght_LiD  ...  \\\n",
+       "   0  Immeuble à bureaux   Régulier           9  ...   \n",
+       "   1  Immeuble à bureaux   Régulier           5  ...   \n",
+       "   2  Immeuble à bureaux   Régulier           7  ...   \n",
+       "   \n",
+       "                                               geometry  ANNEE_CONS  \\\n",
+       "   0  POLYGON ((-73.65670709861234 45.49945563984605...        1950   \n",
+       "   1  POLYGON ((-73.56477846759016 45.4917361420962,...        1948   \n",
+       "   2  POLYGON ((-73.66168550217628 45.51056744159359...        1966   \n",
+       "   \n",
+       "      New_AspectRatio  New_SurfacetoVolumeRatio  \\\n",
+       "   0         2.246492                  0.111111   \n",
+       "   1         1.436914                  0.200000   \n",
+       "   2         1.536950                  0.142857   \n",
+       "   \n",
+       "                                   transformed_geometry  calculated_area  \\\n",
+       "   0  POLYGON ((604948.0350013411 5039313.57396707, ...       140.711332   \n",
+       "   1  POLYGON ((612145.4848128521 5038580.198042559,...       204.581474   \n",
+       "   2  POLYGON ((604538.5140468328 5040541.565372812,...       142.679890   \n",
+       "   \n",
+       "      YearGroup      Building_Size  Building_Floors    lod  \n",
+       "   0  1946-1979  Single use office         3 floors  lod_2  \n",
+       "   1  1946-1979  Single use office         2 floors   lod1  \n",
+       "   2  1946-1979  Single use office         2 floors   lod1  \n",
+       "   \n",
+       "   [3 rows x 32 columns],\n",
+       "   'Small Office':    OBJECTID   ID_UEV  CIVIQUE_DE  CIVIQUE_FI  \\\n",
+       "   0    211023  5004821        4960        4960   \n",
+       "   1     45801  2035255        7855        7855   \n",
+       "   2    260587  5056512        1754        1754   \n",
+       "   3    121234  2062599        3800        3800   \n",
+       "   4    192350  3063951        3333        3363   \n",
+       "   5    267458  4101777        5915        5915   \n",
+       "   6    119292  3060027         130         140   \n",
+       "   7     83429  3049230        9650        9650   \n",
+       "   \n",
+       "                                              NOM_RUE  MUNICIPALI  CODE_UTILI  \\\n",
+       "   0                              rue De Sorel  (MTL)          50        6000   \n",
+       "   1        boulevard Louis-H.-La Fontaine  (ANJ+MTL)          50        6000   \n",
+       "   2                               rue Provost  (LCH)          50        6000   \n",
+       "   3                    boulevard Crémazie Est  (MTL)          50        6000   \n",
+       "   4                   boulevard Cavendish  (CSL+MTL)          50        6000   \n",
+       "   5        boulevard Henri-Bourassa Ouest  (MTL+SLR)          50        6000   \n",
+       "   6  boulevard Henri-Bourassa Est  (ANJ+MTE+MTL+MTN)          50        6000   \n",
+       "   7                           avenue Papineau  (MTL)          50        6000   \n",
+       "   \n",
+       "              LIBELLE_UT CATEGORIE_  Hieght_LiD  ...  \\\n",
+       "   0  Immeuble à bureaux   Régulier           6  ...   \n",
+       "   1  Immeuble à bureaux   Régulier           8  ...   \n",
+       "   2  Immeuble à bureaux   Régulier           7  ...   \n",
+       "   3  Immeuble à bureaux   Régulier          10  ...   \n",
+       "   4  Immeuble à bureaux   Régulier          17  ...   \n",
+       "   5  Immeuble à bureaux   Régulier          10  ...   \n",
+       "   6  Immeuble à bureaux   Régulier           9  ...   \n",
+       "   7  Immeuble à bureaux   Régulier           8  ...   \n",
+       "   \n",
+       "                                               geometry  ANNEE_CONS  \\\n",
+       "   0  POLYGON ((-73.65874200065738 45.50088313973826...        1960   \n",
+       "   1  POLYGON ((-73.5619888758141 45.60398156160863,...        1977   \n",
+       "   2  POLYGON ((-73.67960830317199 45.44215552897189...        1977   \n",
+       "   3  POLYGON ((-73.60118978505193 45.56781505418495...        1962   \n",
+       "   4  POLYGON ((-73.62740788666817 45.46359733415858...        1958   \n",
+       "   5  POLYGON ((-73.71763702102527 45.51663794105595...        1957   \n",
+       "   6  POLYGON ((-73.66963920695059 45.55182954783407...        1964   \n",
+       "   7  POLYGON ((-73.64604970121935 45.56476215159055...        1959   \n",
+       "   \n",
+       "      New_AspectRatio  New_SurfacetoVolumeRatio  \\\n",
+       "   0         2.200532                  0.166667   \n",
+       "   1         1.434418                  0.125000   \n",
+       "   2         2.295533                  0.142857   \n",
+       "   3         1.530955                  0.100000   \n",
+       "   4         1.220645                  0.058824   \n",
+       "   5         1.138487                  0.100000   \n",
+       "   6         0.978228                  0.111111   \n",
+       "   7         1.285042                  0.125000   \n",
+       "   \n",
+       "                                   transformed_geometry  calculated_area  \\\n",
+       "   0  POLYGON ((604786.4053421635 5039469.507418962,...       267.038456   \n",
+       "   1  POLYGON ((612139.9963659503 5051054.271768246,...       287.325668   \n",
+       "   2  POLYGON ((603263.4286888883 5032918.086890924,...       331.780973   \n",
+       "   3  POLYGON ((609153.0992783403 5046982.155062381,...       268.061526   \n",
+       "   4  POLYGON ((607305.1611097188 5035368.55323016, ...       103.098069   \n",
+       "   5  POLYGON ((600157.2669796115 5041144.663103893,...       235.962535   \n",
+       "   6  POLYGON ((603841.2634646114 5045115.345909644,...       286.457678   \n",
+       "   7  POLYGON ((605658.2900981081 5046582.92489481, ...       428.752768   \n",
+       "   \n",
+       "      YearGroup  Building_Size  Building_Floors    lod  \n",
+       "   0  1946-1979   Small office         2 floors  lod_2  \n",
+       "   1  1946-1979   Small office         2 floors   lod1  \n",
+       "   2  1946-1979   Small office         2 floors   lod1  \n",
+       "   3  1946-1979   Small office         3 floors   lod1  \n",
+       "   4  1946-1979   Small office       4-9 floors   lod1  \n",
+       "   5  1946-1979   Small office         3 floors   lod1  \n",
+       "   6  1946-1979   Small office         3 floors   lod1  \n",
+       "   7  1946-1979   Small office         2 floors   lod1  \n",
+       "   \n",
+       "   [8 rows x 32 columns],\n",
+       "   'Medium Office':     OBJECTID   ID_UEV  CIVIQUE_DE  CIVIQUE_FI  \\\n",
+       "   0     220609  3005313        8355        8375   \n",
+       "   1     177688  1053982           2           2   \n",
+       "   2     139011  1093282         480         480   \n",
+       "   3     201888  3057264         750         770   \n",
+       "   4     194802  3005208        7881        7885   \n",
+       "   5     181521  1111891         615         615   \n",
+       "   6     213207  3005252        8375        8375   \n",
+       "   7     138398  1093280         460         460   \n",
+       "   8      32285  2145504        5455        5455   \n",
+       "   9      46540  2147775        3330        3330   \n",
+       "   10    172100  4041005        2300        2300   \n",
+       "   11    209649  5103891        4300        4300   \n",
+       "   12     90545  3051721        1940        1940   \n",
+       "   13    100744  5016067         920         920   \n",
+       "   14     94087  3060023         222         222   \n",
+       "   \n",
+       "                                               NOM_RUE  MUNICIPALI  CODE_UTILI  \\\n",
+       "   0                                rue Mayrand  (MTL)          50        6000   \n",
+       "   1                          place du Commerce  (VRD)          50        6000   \n",
+       "   2                                rue Gilford  (MTL)          50        6000   \n",
+       "   3                             chemin Lucerne  (MTR)          13        6000   \n",
+       "   4                  boulevard Décarie  (CSL+MTL+MTR)          50        6000   \n",
+       "   5                                rue Belmont  (MTL)          50        6000   \n",
+       "   6                           rue Bougainville  (MTL)          50        6000   \n",
+       "   7                                rue Gilford  (MTL)          50        6000   \n",
+       "   8                               rue Chauveau  (MTL)          50        6000   \n",
+       "   9             boulevard de l' Assomption  (MTL+SLN)          50        6000   \n",
+       "   10                   boulevard Marcel-Laurin  (SLR)          50        6000   \n",
+       "   11                  rue Jean-Talon Ouest  (MTL+MTR)          50        6000   \n",
+       "   12  boulevard Henri-Bourassa Est  (ANJ+MTE+MTL+MTN)          50        6000   \n",
+       "   13                     rue de Port-Royal Est  (MTL)          50        6000   \n",
+       "   14  boulevard Henri-Bourassa Est  (ANJ+MTE+MTL+MTN)          50        6000   \n",
+       "   \n",
+       "               LIBELLE_UT CATEGORIE_  Hieght_LiD  ...  \\\n",
+       "   0   Immeuble à bureaux   Régulier          11  ...   \n",
+       "   1   Immeuble à bureaux   Régulier          11  ...   \n",
+       "   2   Immeuble à bureaux   Régulier          20  ...   \n",
+       "   3   Immeuble à bureaux   Régulier           9  ...   \n",
+       "   4   Immeuble à bureaux   Régulier          20  ...   \n",
+       "   5   Immeuble à bureaux   Régulier          25  ...   \n",
+       "   6   Immeuble à bureaux   Régulier           9  ...   \n",
+       "   7   Immeuble à bureaux   Régulier          16  ...   \n",
+       "   8   Immeuble à bureaux   Régulier          12  ...   \n",
+       "   9   Immeuble à bureaux   Régulier           8  ...   \n",
+       "   10  Immeuble à bureaux   Régulier          13  ...   \n",
+       "   11  Immeuble à bureaux   Régulier          15  ...   \n",
+       "   12  Immeuble à bureaux   Régulier          11  ...   \n",
+       "   13  Immeuble à bureaux   Régulier           9  ...   \n",
+       "   14  Immeuble à bureaux   Régulier          10  ...   \n",
+       "   \n",
+       "                                                geometry  ANNEE_CONS  \\\n",
+       "   0   POLYGON ((-73.65921540063876 45.50139813981867...        1956   \n",
+       "   1   POLYGON ((-73.54478155897571 45.46864093914232...        1971   \n",
+       "   2   POLYGON ((-73.58541647757494 45.52675134721649...        1980   \n",
+       "   3   POLYGON ((-73.64522679596327 45.50266374081273...        1958   \n",
+       "   4   POLYGON ((-73.65698429864213 45.4976886397057,...        1962   \n",
+       "   5   POLYGON ((-73.5655630637568 45.5019637606228, ...        1958   \n",
+       "   6   POLYGON ((-73.66100680038222 45.50155094005063...        1965   \n",
+       "   7   POLYGON ((-73.58597207771982 45.52639934692775...        1969   \n",
+       "   8   POLYGON ((-73.54795976873851 45.57070815550831...        1967   \n",
+       "   9   POLYGON ((-73.54993206871887 45.57001645588139...        1968   \n",
+       "   10  POLYGON ((-73.70465881728973 45.52015924204085...        1972   \n",
+       "   11  POLYGON ((-73.64702409686187 45.49907703984524...        1962   \n",
+       "   12  POLYGON ((-73.65751370523773 45.57090045171742...        1958   \n",
+       "   13  POLYGON ((-73.65127730226185 45.55507054947699...        1958   \n",
+       "   14  POLYGON ((-73.66923060750766 45.55214734860001...        1959   \n",
+       "   \n",
+       "       New_AspectRatio  New_SurfacetoVolumeRatio  \\\n",
+       "   0          0.729817                  0.090909   \n",
+       "   1          1.488759                  0.090909   \n",
+       "   2          1.612420                  0.050000   \n",
+       "   3          1.337793                  0.111111   \n",
+       "   4          1.420342                  0.050000   \n",
+       "   5          1.418232                  0.040000   \n",
+       "   6          2.030395                  0.111111   \n",
+       "   7          0.906000                  0.062500   \n",
+       "   8          1.540144                  0.083333   \n",
+       "   9          1.335627                  0.125000   \n",
+       "   10         1.146408                  0.076923   \n",
+       "   11         1.205457                  0.066667   \n",
+       "   12         0.988014                  0.090909   \n",
+       "   13         1.139791                  0.111111   \n",
+       "   14         1.887279                  0.100000   \n",
+       "   \n",
+       "                                    transformed_geometry  calculated_area  \\\n",
+       "   0   POLYGON ((604748.4656995023 5039526.104656939,...      1334.661324   \n",
+       "   1   POLYGON ((613754.4745183245 5036042.52284398, ...       897.671999   \n",
+       "   2   POLYGON ((610464.3478247387 5042441.666163157,...       874.666133   \n",
+       "   3   POLYGON ((605838.9469224648 5039685.0483049415...       795.143390   \n",
+       "   4   POLYGON ((604929.6606538681 5039116.904123736,...       569.392434   \n",
+       "   5   POLYGON ((612063.8852924661 5039715.35532951, ...       543.951241   \n",
+       "   6   POLYGON ((604608.2304285599 5039540.745403364,...       381.371944   \n",
+       "   7   POLYGON ((610421.6501728361 5042401.7956010485...       232.989938   \n",
+       "   8   POLYGON ((613300.9532318974 5047377.378051133,...       922.206775   \n",
+       "   9   POLYGON ((613148.4467889109 5047297.747870048,...       902.104364   \n",
+       "   10  POLYGON ((601164.598274754 5041552.139658627, ...      1017.179754   \n",
+       "   11  POLYGON ((605705.2494405203 5039284.210978707,...       817.157929   \n",
+       "   12  POLYGON ((604752.2638674788 5047249.842777516,...       669.624798   \n",
+       "   13  POLYGON ((605268.4445113399 5045499.338691799,...       750.737063   \n",
+       "   14  POLYGON ((603872.5710499424 5045151.181634649,...       387.491369   \n",
+       "   \n",
+       "       YearGroup  Building_Size  Building_Floors    lod  \n",
+       "   0   1946-1979  Medium office         3 floors  lod_2  \n",
+       "   1   1946-1979  Medium office         3 floors  lod_2  \n",
+       "   2   1946-1979  Medium office       4-9 floors  lod_2  \n",
+       "   3   1946-1979  Medium office         3 floors  lod_2  \n",
+       "   4   1946-1979  Medium office       4-9 floors  lod_2  \n",
+       "   5   1946-1979  Medium office       4-9 floors  lod_2  \n",
+       "   6   1946-1979  Medium office         3 floors  lod_2  \n",
+       "   7   1946-1979  Medium office       4-9 floors  lod_2  \n",
+       "   8   1946-1979  Medium office         3 floors   lod1  \n",
+       "   9   1946-1979  Medium office         2 floors   lod1  \n",
+       "   10  1946-1979  Medium office       4-9 floors   lod1  \n",
+       "   11  1946-1979  Medium office       4-9 floors   lod1  \n",
+       "   12  1946-1979  Medium office         3 floors   lod1  \n",
+       "   13  1946-1979  Medium office         3 floors   lod1  \n",
+       "   14  1946-1979  Medium office         3 floors   lod1  \n",
+       "   \n",
+       "   [15 rows x 32 columns],\n",
+       "   'Large Office':     OBJECTID   ID_UEV  CIVIQUE_DE  CIVIQUE_FI  \\\n",
+       "   0     209569  3075000        3315        3345   \n",
+       "   1     174291  1037845        3495        3495   \n",
+       "   2     219563  3039985        8231        8235   \n",
+       "   3     163106  1026204        2100        2140   \n",
+       "   4     136541  1059027         385         405   \n",
+       "   5     139376  1119260        1601        1601   \n",
+       "   6     132192  1038854         666         666   \n",
+       "   7     241395  3034827        5155        5185   \n",
+       "   8     131308  1037853        2075        2077   \n",
+       "   9     134350  1021813         385         385   \n",
+       "   10    177775  1054040           3           3   \n",
+       "   11    197487  3007905        6767        6767   \n",
+       "   12    216231  1047153        1035        1055   \n",
+       "   13    228994  3066688        6000        6000   \n",
+       "   14    172529  1040751        1055        1055   \n",
+       "   \n",
+       "                                         NOM_RUE  MUNICIPALI  CODE_UTILI  \\\n",
+       "   0            chemin Queen-Mary  (CSL+HMS+MTL)          50        6000   \n",
+       "   1                       rue University  (MTL)          50        6000   \n",
+       "   2               avenue Mountain Sights  (MTL)          50        6000   \n",
+       "   3               rue Sherbrooke Est  (MTE+MTL)          50        6000   \n",
+       "   4   boulevard De Maisonneuve Ouest  (MTL+WMT)          50        6000   \n",
+       "   5                   avenue De Lorimier  (MTL)          50        6000   \n",
+       "   6         rue Sherbrooke Ouest  (MTL+MTO+WMT)          50        6000   \n",
+       "   7            chemin Queen-Mary  (CSL+HMS+MTL)          50        6000   \n",
+       "   8            boulevard Robert-Bourassa  (MTL)          50        6000   \n",
+       "   9               rue Sherbrooke Est  (MTE+MTL)          50        6000   \n",
+       "   10                   place du Commerce  (VRD)          50        6000   \n",
+       "   11    chemin de la Côte-des-Neiges  (MTL+WMT)          50        6000   \n",
+       "   12                        rue Galt  (MTL+VRD)          50        6000   \n",
+       "   13                     avenue Fielding  (MTL)          50        6000   \n",
+       "   14         boulevard René-Lévesque Est  (MTL)          50        6000   \n",
+       "   \n",
+       "               LIBELLE_UT CATEGORIE_  Hieght_LiD  ...  \\\n",
+       "   0   Immeuble à bureaux   Régulier          27  ...   \n",
+       "   1   Immeuble à bureaux   Régulier          19  ...   \n",
+       "   2   Immeuble à bureaux   Régulier          23  ...   \n",
+       "   3   Immeuble à bureaux   Régulier          58  ...   \n",
+       "   4   Immeuble à bureaux   Régulier          62  ...   \n",
+       "   5   Immeuble à bureaux   Régulier          24  ...   \n",
+       "   6   Immeuble à bureaux   Régulier          69  ...   \n",
+       "   7   Immeuble à bureaux   Régulier          23  ...   \n",
+       "   8   Immeuble à bureaux   Régulier          57  ...   \n",
+       "   9   Immeuble à bureaux   Régulier          46  ...   \n",
+       "   10  Immeuble à bureaux   Régulier          27  ...   \n",
+       "   11  Immeuble à bureaux   Régulier          30  ...   \n",
+       "   12  Immeuble à bureaux   Régulier          16  ...   \n",
+       "   13  Immeuble à bureaux   Régulier          20  ...   \n",
+       "   14  Immeuble à bureaux   Régulier          64  ...   \n",
+       "   \n",
+       "                                                geometry  ANNEE_CONS  \\\n",
+       "   0   POLYGON ((-73.61785678614162 45.4966616404519,...        1967   \n",
+       "   1   POLYGON ((-73.57587453452712 45.50630597427133...        1963   \n",
+       "   2   POLYGON ((-73.65740290012336 45.49994964043781...        1956   \n",
+       "   3   POLYGON ((-73.56233027015024 45.5311660487225,...        1966   \n",
+       "   4   POLYGON ((-73.5696844697148 45.50659424424261,...        1968   \n",
+       "   5   POLYGON ((-73.55266986692988 45.52642774803021...        1980   \n",
+       "   6   POLYGON ((-73.57289407204871 45.50494824459296...        1969   \n",
+       "   7   POLYGON ((-73.62811878848375 45.48524263835249...        1965   \n",
+       "   8   POLYGON ((-73.57265357162177 45.50495204397898...        1974   \n",
+       "   9   POLYGON ((-73.56774707035912 45.51685144684495...        1969   \n",
+       "   10  POLYGON ((-73.5437774598828 45.46856283909891,...        1975   \n",
+       "   11  POLYGON ((-73.63675759284826 45.50321834124309...        1977   \n",
+       "   12  POLYGON ((-73.577225469763 45.46246933656654, ...        1962   \n",
+       "   13  POLYGON ((-73.63563688990963 45.47654323614836...        1961   \n",
+       "   14  POLYGON ((-73.55540841330071 45.5161453261887,...        1979   \n",
+       "   \n",
+       "       New_AspectRatio  New_SurfacetoVolumeRatio  \\\n",
+       "   0          1.350363                  0.037037   \n",
+       "   1          1.444200                  0.052632   \n",
+       "   2          0.987256                  0.043478   \n",
+       "   3          0.706329                  0.017241   \n",
+       "   4          1.417945                  0.016129   \n",
+       "   5          1.781704                  0.041667   \n",
+       "   6          1.337027                  0.014493   \n",
+       "   7          1.421125                  0.043478   \n",
+       "   8          1.365373                  0.017544   \n",
+       "   9          1.078531                  0.021739   \n",
+       "   10         1.119057                  0.037037   \n",
+       "   11         1.376122                  0.033333   \n",
+       "   12         3.228972                  0.062500   \n",
+       "   13         1.533246                  0.050000   \n",
+       "   14         1.196072                  0.015625   \n",
+       "   \n",
+       "                                    transformed_geometry  calculated_area  \\\n",
+       "   0   POLYGON ((607988.6427426307 5039054.669500758,...      1118.393844   \n",
+       "   1   POLYGON ((611249.760488612 5040183.42400335, 6...      1398.662897   \n",
+       "   2   POLYGON ((604892.7565438359 5039367.5468004765...       953.332365   \n",
+       "   3   POLYGON ((612258.3516289403 5042964.153178677,...      1218.218716   \n",
+       "   4   POLYGON ((611732.7436142158 5040224.043773252,...      1080.875758   \n",
+       "   5   POLYGON ((613022.1586020442 5042451.29735015, ...      2133.896020   \n",
+       "   6   POLYGON ((611485.26786211 5040036.718044874, 6...       583.825411   \n",
+       "   7   POLYGON ((607208.5276970096 5037772.313414976,...      1134.530768   \n",
+       "   8   POLYGON ((611504.0481486518 5040037.474042793,...       804.013670   \n",
+       "   9   POLYGON ((611863.7621912991 5041366.2831049515...       657.982155   \n",
+       "   10  POLYGON ((613833.1219637275 5036035.268159153,...      1369.167255   \n",
+       "   11  POLYGON ((606499.5386034051 5039757.858559906,...      1113.548901   \n",
+       "   12  POLYGON ((611230.4798322876 5035311.466968568,...      1598.405360   \n",
+       "   13  POLYGON ((606637.4242887392 5036795.837107531,...      3128.957717   \n",
+       "   14  POLYGON ((612828.8607874287 5041305.10004046, ...       964.854098   \n",
+       "   \n",
+       "       YearGroup  Building_Size  Building_Floors    lod  \n",
+       "   0   1946-1979   Large office       4-9 floors  lod_2  \n",
+       "   1   1946-1979   Large office       4-9 floors  lod_2  \n",
+       "   2   1946-1979   Large office       4-9 floors  lod_2  \n",
+       "   3   1946-1979   Large office       10+ floors  lod_2  \n",
+       "   4   1946-1979   Large office       10+ floors  lod_2  \n",
+       "   5   1946-1979   Large office       4-9 floors  lod_2  \n",
+       "   6   1946-1979   Large office       10+ floors  lod_2  \n",
+       "   7   1946-1979   Large office       4-9 floors  lod_2  \n",
+       "   8   1946-1979   Large office       10+ floors  lod_2  \n",
+       "   9   1946-1979   Large office       10+ floors  lod_2  \n",
+       "   10  1946-1979   Large office       4-9 floors  lod_2  \n",
+       "   11  1946-1979   Large office       4-9 floors  lod_2  \n",
+       "   12  1946-1979   Large office       4-9 floors  lod_2  \n",
+       "   13  1946-1979   Large office       4-9 floors  lod_2  \n",
+       "   14  1946-1979   Large office       10+ floors  lod_2  \n",
+       "   \n",
+       "   [15 rows x 32 columns],\n",
+       "   'Mega Office':     OBJECTID   ID_UEV  CIVIQUE_DE  CIVIQUE_FI  \\\n",
+       "   0     177123  1004117         360         360   \n",
+       "   1     204553  3040426        5250        5260   \n",
+       "   2     174977  1040863        2100        2100   \n",
+       "   3     176938  1091272         500         500   \n",
+       "   4     170332  1021422         275         275   \n",
+       "   5     264039  3037538        5160        5160   \n",
+       "   6     176421  1039343         620         620   \n",
+       "   7     132068  1039384           1           5   \n",
+       "   8     131882  1001211        1441        1441   \n",
+       "   9     131020  1037855        2001        2001   \n",
+       "   10    139580  1120473          87          87   \n",
+       "   11    177780  1037091         900        1140   \n",
+       "   12    174968  1004401         740         740   \n",
+       "   13    174164  1037753        1060        1060   \n",
+       "   14    157365  1037755        2020        2020   \n",
+       "   \n",
+       "                                    NOM_RUE  MUNICIPALI  CODE_UTILI  \\\n",
+       "   0                      rue McGill  (MTL)          50        6000   \n",
+       "   1                     rue Ferrier  (MTL)          50        6000   \n",
+       "   2             avenue Pierre-Dupuy  (MTL)          50        6000   \n",
+       "   3                  place d' Armes  (MTL)          50        6000   \n",
+       "   4                avenue Viger Est  (MTL)          50        6000   \n",
+       "   5       boulevard Décarie  (CSL+MTL+MTR)          50        6000   \n",
+       "   6   boulevard René-Lévesque Ouest  (MTL)          50        6000   \n",
+       "   7               place Ville-Marie  (MTL)          50        6000   \n",
+       "   8                rue Saint-Urbain  (MTL)          50        6000   \n",
+       "   9       boulevard Robert-Bourassa  (MTL)          50        6000   \n",
+       "   10              rue Ontario Ouest  (MTL)          50        6000   \n",
+       "   11                        rue Guy  (MTL)          50        6000   \n",
+       "   12       rue Notre-Dame Ouest  (MTL+MTO)          50        6000   \n",
+       "   13      boulevard Robert-Bourassa  (MTL)          50        6000   \n",
+       "   14      boulevard Robert-Bourassa  (MTL)          50        6000   \n",
+       "   \n",
+       "               LIBELLE_UT CATEGORIE_  Hieght_LiD  ...  \\\n",
+       "   0   Immeuble à bureaux   Régulier          46  ...   \n",
+       "   1   Immeuble à bureaux   Régulier          36  ...   \n",
+       "   2   Immeuble à bureaux   Régulier          22  ...   \n",
+       "   3   Immeuble à bureaux   Régulier         121  ...   \n",
+       "   4   Immeuble à bureaux   Régulier          36  ...   \n",
+       "   5   Immeuble à bureaux   Régulier          65  ...   \n",
+       "   6   Immeuble à bureaux   Régulier          58  ...   \n",
+       "   7   Immeuble à bureaux   Régulier         205  ...   \n",
+       "   8   Immeuble à bureaux   Régulier          46  ...   \n",
+       "   9   Immeuble à bureaux   Régulier          83  ...   \n",
+       "   10  Immeuble à bureaux   Régulier          62  ...   \n",
+       "   11  Immeuble à bureaux   Régulier          77  ...   \n",
+       "   12  Immeuble à bureaux   Régulier          70  ...   \n",
+       "   13  Immeuble à bureaux   Régulier          46  ...   \n",
+       "   14  Immeuble à bureaux   Régulier         110  ...   \n",
+       "   \n",
+       "                                                geometry  ANNEE_CONS  \\\n",
+       "   0   POLYGON ((-73.55668889445501 45.49949406928449...        1967   \n",
+       "   1   POLYGON ((-73.65604789936499 45.49817033960006...        1964   \n",
+       "   2   POLYGON ((-73.5425224598578 45.49117634222997,...        1966   \n",
+       "   3   POLYGON ((-73.55736356542033 45.50425524377513...        1968   \n",
+       "   4   POLYGON ((-73.55701946640835 45.51050284529219...        1980   \n",
+       "   5   POLYGON ((-73.63078288958002 45.48397053828785...        1973   \n",
+       "   6   POLYGON ((-73.56590626978188 45.50213044356349...        1962   \n",
+       "   7   POLYGON ((-73.56988907078069 45.50104234305471...        1962   \n",
+       "   8   POLYGON ((-73.56600816965954 45.50960444436771...        1957   \n",
+       "   9   POLYGON ((-73.57150987122291 45.50441214366474...        1975   \n",
+       "   10  POLYGON ((-73.56818536988578 45.5107785445819,...        1970   \n",
+       "   11  POLYGON ((-73.5744110711005 45.49343074149881,...        1962   \n",
+       "   12  POLYGON ((-73.55964116728167 45.49939684326897...        1975   \n",
+       "   13  POLYGON ((-73.56569766832759 45.50050504330536...        1957   \n",
+       "   14  POLYGON ((-73.57198577130396 45.50414504309432...        1973   \n",
+       "   \n",
+       "       New_AspectRatio  New_SurfacetoVolumeRatio  \\\n",
+       "   0          1.870823                  0.021739   \n",
+       "   1          1.369388                  0.027778   \n",
+       "   2          0.673005                  0.045455   \n",
+       "   3          1.199149                  0.008264   \n",
+       "   4          1.533703                  0.027778   \n",
+       "   5          1.482432                  0.015385   \n",
+       "   6          1.685065                  0.017241   \n",
+       "   7          1.703921                  0.004878   \n",
+       "   8          1.960636                  0.021739   \n",
+       "   9          1.448976                  0.012048   \n",
+       "   10         1.494631                  0.016129   \n",
+       "   11         1.114260                  0.012987   \n",
+       "   12         1.610378                  0.014286   \n",
+       "   13         1.669162                  0.021739   \n",
+       "   14         1.451651                  0.009091   \n",
+       "   \n",
+       "                                    transformed_geometry  calculated_area  \\\n",
+       "   0   POLYGON ((612762.098968837 5039453.402232942, ...      2308.018893   \n",
+       "   1   POLYGON ((605001.9257495105 5039171.643074809,...      2879.174636   \n",
+       "   2   POLYGON ((613885.6495884857 5038549.319877742,...      7493.989681   \n",
+       "   3   POLYGON ((612699.8872689141 5039981.405334406,...      1257.790918   \n",
+       "   4   POLYGON ((612714.2963068981 5040675.975968211,...      4126.649566   \n",
+       "   5   POLYGON ((607002.7452475262 5037627.435993404,...      2165.228271   \n",
+       "   6   POLYGON ((612036.7421005326 5039733.394390887,...      1501.189768   \n",
+       "   7   POLYGON ((611727.7444874193 5039606.961726003,...      3054.467245   \n",
+       "   8   POLYGON ((612013.9542705106 5040563.5886435695...      1633.514905   \n",
+       "   9   POLYGON ((611594.4604512485 5039979.081567041,...      3003.712633   \n",
+       "   10  POLYGON ((611841.5605352967 5040690.992593686,...      3328.666314   \n",
+       "   11  POLYGON ((611389.4726184902 5038755.058615371,...      7065.732742   \n",
+       "   12  POLYGON ((612531.6401533339 5039438.459986534,...      2440.510769   \n",
+       "   13  POLYGON ((612056.2637111655 5039553.109041708,...      1659.320618   \n",
+       "   14  POLYGON ((611557.8106458029 5039948.746405183,...      1597.180685   \n",
+       "   \n",
+       "       YearGroup  Building_Size  Building_Floors    lod  \n",
+       "   0   1946-1979    Mega office       10+ floors  lod_2  \n",
+       "   1   1946-1979    Mega office       4-9 floors  lod_2  \n",
+       "   2   1946-1979    Mega office       4-9 floors  lod_2  \n",
+       "   3   1946-1979    Mega office       10+ floors  lod_2  \n",
+       "   4   1946-1979    Mega office       4-9 floors  lod_2  \n",
+       "   5   1946-1979    Mega office       10+ floors  lod_2  \n",
+       "   6   1946-1979    Mega office       10+ floors  lod_2  \n",
+       "   7   1946-1979    Mega office       10+ floors  lod_2  \n",
+       "   8   1946-1979    Mega office       10+ floors  lod_2  \n",
+       "   9   1946-1979    Mega office       10+ floors  lod_2  \n",
+       "   10  1946-1979    Mega office       10+ floors  lod_2  \n",
+       "   11  1946-1979    Mega office       10+ floors  lod_2  \n",
+       "   12  1946-1979    Mega office       10+ floors  lod_2  \n",
+       "   13  1946-1979    Mega office       10+ floors  lod_2  \n",
+       "   14  1946-1979    Mega office       10+ floors  lod_2  \n",
+       "   \n",
+       "   [15 rows x 32 columns]},\n",
+       "  '1980-2010': {'Single-Use Office':    OBJECTID   ID_UEV  CIVIQUE_DE  CIVIQUE_FI            NOM_RUE  MUNICIPALI  \\\n",
+       "   0    156761  5120340        4100        4100  rue Molson  (MTL)          50   \n",
+       "   \n",
+       "      CODE_UTILI          LIBELLE_UT CATEGORIE_  Hieght_LiD  ...  \\\n",
+       "   0        6000  Immeuble à bureaux   Régulier          14  ...   \n",
+       "   \n",
+       "                                               geometry  ANNEE_CONS  \\\n",
+       "   0  POLYGON ((-73.56342 45.54113, -73.56334 45.541...        2006   \n",
+       "   \n",
+       "      New_AspectRatio  New_SurfacetoVolumeRatio  \\\n",
+       "   0         0.721492                  0.071429   \n",
+       "   \n",
+       "                                   transformed_geometry  calculated_area  \\\n",
+       "   0  POLYGON ((612153.721 5044069.521, 612159.186 5...        43.112378   \n",
+       "   \n",
+       "      YearGroup      Building_Size  Building_Floors   lod  \n",
+       "   0  1980-2010  Single use office       4-9 floors  lod1  \n",
+       "   \n",
+       "   [1 rows x 32 columns],\n",
+       "   'Small Office':     OBJECTID   ID_UEV  CIVIQUE_DE  CIVIQUE_FI  \\\n",
+       "   0     182987  1058032           5           5   \n",
+       "   1     111781  3050430        1093        1095   \n",
+       "   2       1474  2034223        7950        7960   \n",
+       "   3     220783  5159224        3980        3980   \n",
+       "   4     225471  4038215        1200        1200   \n",
+       "   5     323295  4141035       16835       16835   \n",
+       "   6     270039  4129783        1601        1601   \n",
+       "   7     257145  5002756         780         780   \n",
+       "   8      25882  2155420        9175        9175   \n",
+       "   9     330675  4144295       16815       16815   \n",
+       "   10    328618  4145237        4699        4699   \n",
+       "   11       221  2091230        4884        4898   \n",
+       "   12    326713  4124476        4503        4503   \n",
+       "   \n",
+       "                                              NOM_RUE  MUNICIPALI  CODE_UTILI  \\\n",
+       "   0                         place du Commerce  (VRD)          50        6000   \n",
+       "   1                          rue Legendre Est  (MTL)          50        6000   \n",
+       "   2   boulevard Métropolitain Est  (ANJ+MTE+MTL+SLN)          50        6000   \n",
+       "   3                        rue Saint-Ambroise  (MTL)          50        6000   \n",
+       "   4                            avenue Dollard  (LSL)          50        6000   \n",
+       "   5                               rue Oakwood  (PFD)          50        6000   \n",
+       "   6                           rue Saint-Régis  (DDO)           5        6000   \n",
+       "   7                       avenue Sainte-Croix  (SLR)          50        6000   \n",
+       "   8                 rue Pascal-Gagnon  (ANJ+MTN+SLN)          50        6000   \n",
+       "   9                               rue Oakwood  (PFD)          50        6000   \n",
+       "   10          boulevard Saint-Charles  (KRK+PFD+SGV)          50        6000   \n",
+       "   11                    rue Jarry Est  (ANJ+MTL+SLN)          50        6000   \n",
+       "   12             boulevard Saint-Jean  (DDO+PCL+PFD)           5        6000   \n",
+       "   \n",
+       "               LIBELLE_UT CATEGORIE_  Hieght_LiD  ...  \\\n",
+       "   0   Immeuble à bureaux   Régulier          10  ...   \n",
+       "   1   Immeuble à bureaux   Régulier          11  ...   \n",
+       "   2   Immeuble à bureaux   Régulier          12  ...   \n",
+       "   3   Immeuble à bureaux   Régulier          11  ...   \n",
+       "   4   Immeuble à bureaux   Régulier           6  ...   \n",
+       "   5   Immeuble à bureaux   Régulier           7  ...   \n",
+       "   6   Immeuble à bureaux   Régulier           9  ...   \n",
+       "   7   Immeuble à bureaux   Régulier          11  ...   \n",
+       "   8   Immeuble à bureaux   Régulier           8  ...   \n",
+       "   9   Immeuble à bureaux   Régulier           8  ...   \n",
+       "   10  Immeuble à bureaux   Régulier           9  ...   \n",
+       "   11  Immeuble à bureaux   Régulier           8  ...   \n",
+       "   12  Immeuble à bureaux   Régulier           9  ...   \n",
+       "   \n",
+       "                                                geometry  ANNEE_CONS  \\\n",
+       "   0   POLYGON ((-73.54230525910245 45.46879113834939...        1985   \n",
+       "   1   POLYGON ((-73.64090859815815 45.55593415043061...        1984   \n",
+       "   2   POLYGON ((-73.56292617550426 45.60772556192009...        1990   \n",
+       "   3   POLYGON ((-73.57933777200435 45.47614403799024...        2007   \n",
+       "   4   POLYGON ((-73.6247878829168 45.42556612829693,...        1984   \n",
+       "   5   POLYGON ((-73.86788226813715 45.46316552556750...        1991   \n",
+       "   6   POLYGON ((-73.778632540073 45.48978923357486, ...        1989   \n",
+       "   7   POLYGON ((-73.67509070668008 45.51312034207611...        1992   \n",
+       "   8   POLYGON ((-73.59864148712293 45.6073615611406,...        1989   \n",
+       "   9   POLYGON ((-73.86754996786074 45.46335982544815...        1991   \n",
+       "   10  POLYGON ((-73.87064966825436 45.46363362550041...        1992   \n",
+       "   11  POLYGON ((-73.59545968518539 45.57914025603156...        1988   \n",
+       "   12  POLYGON ((-73.84508176207066 45.48382502993574...        1988   \n",
+       "   \n",
+       "       New_AspectRatio  New_SurfacetoVolumeRatio  \\\n",
+       "   0          1.193292                  0.100000   \n",
+       "   1          1.730835                  0.090909   \n",
+       "   2          1.316557                  0.083333   \n",
+       "   3          1.401838                  0.090909   \n",
+       "   4          1.545325                  0.166667   \n",
+       "   5          1.404072                  0.142857   \n",
+       "   6          1.363850                  0.111111   \n",
+       "   7          1.418618                  0.090909   \n",
+       "   8          1.375193                  0.125000   \n",
+       "   9          1.396464                  0.125000   \n",
+       "   10         1.368765                  0.111111   \n",
+       "   11         1.255416                  0.125000   \n",
+       "   12         1.263497                  0.111111   \n",
+       "   \n",
+       "                                    transformed_geometry  calculated_area  \\\n",
+       "   0   POLYGON ((613947.7436395983 5036062.717850136,...       282.541959   \n",
+       "   1   POLYGON ((606076.0989578288 5045608.937893672,...       290.065112   \n",
+       "   2   POLYGON ((612059.4472434245 5051468.9138516, 6...       250.310213   \n",
+       "   3   POLYGON ((611038.4847243659 5036827.750009313,...       182.547099   \n",
+       "   4   POLYGON ((607582.261019334 5031146.956705163, ...       248.154761   \n",
+       "   5   POLYGON ((588506.3061080904 5035027.631556542,...       388.043636   \n",
+       "   6   POLYGON ((595438.6655431192 5038087.584649162,...       269.067193   \n",
+       "   7   POLYGON ((603486.7292774194 5040807.820745205,...       187.944372   \n",
+       "   8   POLYGON ((609275.1739989806 5051379.170112104,...       427.639250   \n",
+       "   9   POLYGON ((588531.9803605101 5035049.583497368,...       254.514296   \n",
+       "   10  POLYGON ((588289.2269253919 5035076.591817804,...       265.496531   \n",
+       "   11  POLYGON ((609578.2021916194 5048248.1739095375...       384.390392   \n",
+       "   12  POLYGON ((590255.8049748561 5037348.186058532,...       249.746932   \n",
+       "   \n",
+       "       YearGroup  Building_Size  Building_Floors    lod  \n",
+       "   0   1980-2010   Small office         3 floors  lod_2  \n",
+       "   1   1980-2010   Small office         3 floors   lod1  \n",
+       "   2   1980-2010   Small office         3 floors   lod1  \n",
+       "   3   1980-2010   Small office         3 floors   lod1  \n",
+       "   4   1980-2010   Small office         2 floors   lod1  \n",
+       "   5   1980-2010   Small office         2 floors   lod1  \n",
+       "   6   1980-2010   Small office         3 floors   lod1  \n",
+       "   7   1980-2010   Small office         3 floors   lod1  \n",
+       "   8   1980-2010   Small office         2 floors   lod1  \n",
+       "   9   1980-2010   Small office         2 floors   lod1  \n",
+       "   10  1980-2010   Small office         3 floors   lod1  \n",
+       "   11  1980-2010   Small office         2 floors   lod1  \n",
+       "   12  1980-2010   Small office         3 floors   lod1  \n",
+       "   \n",
+       "   [13 rows x 32 columns],\n",
+       "   'Medium Office':     OBJECTID   ID_UEV  CIVIQUE_DE  CIVIQUE_FI  \\\n",
+       "   0     180922  5071031         600         600   \n",
+       "   1     221459  1058034           8           8   \n",
+       "   2     182057  1094762         550         550   \n",
+       "   3     192659  3005246        8400        8400   \n",
+       "   4     269179  4019615        5925        5929   \n",
+       "   5     234023  4035891        1500        1500   \n",
+       "   6     259033  4019696        6500        6500   \n",
+       "   7      55775  2154815        6275        6285   \n",
+       "   8     109781  2018984        8550        8550   \n",
+       "   9     327862  4048912        4280        4280   \n",
+       "   10     50153  2148844        5930        5930   \n",
+       "   11     93142  3060073         855         855   \n",
+       "   12     49326  2079790       13000       13000   \n",
+       "   13     77567  2083522        5181        5181   \n",
+       "   14    265763  4138570        1651        1651   \n",
+       "   \n",
+       "                                                 NOM_RUE  MUNICIPALI  CODE_UTILI  \\\n",
+       "   0                               chemin du Golf  (VRD)          50        6000   \n",
+       "   1                            place du Commerce  (VRD)          50        6000   \n",
+       "   2                               chemin du Golf  (VRD)          50        6000   \n",
+       "   3                             rue Bougainville  (MTL)          50        6000   \n",
+       "   4   autoroute Transcanadienne  (BCF+BDU+DVL+KRK+MT...          50        6000   \n",
+       "   5                               rue du Collège  (SLR)          50        6000   \n",
+       "   6   autoroute Transcanadienne  (BCF+BDU+DVL+KRK+MT...          50        6000   \n",
+       "   7                         rue Beaubien Est  (ANJ+MTL)          50        6000   \n",
+       "   8                     boulevard Pie-IX  (MTL+MTN+SLN)          50        6000   \n",
+       "   9                 boulevard Saint-Jean  (DDO+PCL+PFD)           5        6000   \n",
+       "   10          boulevard Louis-H.-La Fontaine  (ANJ+MTL)          50        6000   \n",
+       "   11          boulevard Henri-Bourassa Ouest  (MTL+SLR)          50        6000   \n",
+       "   12                      rue Sherbrooke Est  (MTE+MTL)          50        6000   \n",
+       "   13                               rue d' Amiens  (MTN)          50        6000   \n",
+       "   14                             rue Saint-Régis  (DDO)           5        6000   \n",
+       "   \n",
+       "               LIBELLE_UT CATEGORIE_  Hieght_LiD  ...  \\\n",
+       "   0   Immeuble à bureaux   Régulier          16  ...   \n",
+       "   1   Immeuble à bureaux   Régulier          15  ...   \n",
+       "   2   Immeuble à bureaux   Régulier          11  ...   \n",
+       "   3   Immeuble à bureaux   Régulier          10  ...   \n",
+       "   4   Immeuble à bureaux   Régulier          15  ...   \n",
+       "   5   Immeuble à bureaux   Régulier          17  ...   \n",
+       "   6   Immeuble à bureaux   Régulier          10  ...   \n",
+       "   7   Immeuble à bureaux   Régulier          10  ...   \n",
+       "   8   Immeuble à bureaux   Régulier          14  ...   \n",
+       "   9   Immeuble à bureaux   Régulier           9  ...   \n",
+       "   10  Immeuble à bureaux   Régulier          18  ...   \n",
+       "   11  Immeuble à bureaux   Régulier           7  ...   \n",
+       "   12  Immeuble à bureaux   Régulier          12  ...   \n",
+       "   13  Immeuble à bureaux   Régulier          19  ...   \n",
+       "   14  Immeuble à bureaux   Régulier           7  ...   \n",
+       "   \n",
+       "                                                geometry  ANNEE_CONS  \\\n",
+       "   0   POLYGON ((-73.55198096115886 45.46628973778053...        1990   \n",
+       "   1   POLYGON ((-73.54135615790551 45.46903163842626...        1987   \n",
+       "   2   POLYGON ((-73.55126266145624 45.46683603856836...        1987   \n",
+       "   3   POLYGON ((-73.66208520159341 45.50196873928473...        1986   \n",
+       "   4   POLYGON ((-73.68124690704674 45.49571273829273...        1987   \n",
+       "   5   POLYGON ((-73.67486020646602 45.50912514034409...        1989   \n",
+       "   6   POLYGON ((-73.69088781101095 45.49329363738550...        1981   \n",
+       "   7   POLYGON ((-73.56306837431737 45.58436545841020...        1990   \n",
+       "   8   POLYGON ((-73.61114438927233 45.57494435473096...        1989   \n",
+       "   9   POLYGON ((-73.84297266076697 45.48073122929106...        2007   \n",
+       "   10  POLYGON ((-73.54811647022375 45.59629005987789...        1990   \n",
+       "   11  POLYGON ((-73.67808460915379 45.54147374633218...        1987   \n",
+       "   12  POLYGON ((-73.50885776079559 45.65633617268887...        1985   \n",
+       "   13  POLYGON ((-73.62060719467823 45.59720375807035...        1990   \n",
+       "   14  POLYGON ((-73.78085694030682 45.48924193324939...        2005   \n",
+       "   \n",
+       "       New_AspectRatio  New_SurfacetoVolumeRatio  \\\n",
+       "   0          1.518038                  0.062500   \n",
+       "   1          0.952652                  0.066667   \n",
+       "   2          1.649865                  0.090909   \n",
+       "   3          1.211501                  0.100000   \n",
+       "   4          1.666439                  0.066667   \n",
+       "   5          1.413679                  0.058824   \n",
+       "   6          1.470134                  0.100000   \n",
+       "   7          1.889883                  0.100000   \n",
+       "   8          1.753416                  0.071429   \n",
+       "   9          1.309691                  0.111111   \n",
+       "   10         1.623336                  0.055556   \n",
+       "   11         1.938301                  0.142857   \n",
+       "   12         1.767373                  0.083333   \n",
+       "   13         1.459552                  0.052632   \n",
+       "   14         1.025259                  0.142857   \n",
+       "   \n",
+       "                                    transformed_geometry  calculated_area  \\\n",
+       "   0   POLYGON ((613196.4056690695 5035771.147546845,...      1059.470577   \n",
+       "   1   POLYGON ((614021.4494720284 5036090.782726277,...      1030.977393   \n",
+       "   2   POLYGON ((613251.4631742625 5035832.851390401,...       783.261191   \n",
+       "   3   POLYGON ((604523.2078433663 5039585.757451924,...       522.732492   \n",
+       "   4   POLYGON ((603037.6353912347 5038865.977797899,...       838.669853   \n",
+       "   5   POLYGON ((603512.0578295258 5040364.263613097,...       531.385688   \n",
+       "   6   POLYGON ((602288.7484983535 5038584.9019499775...      1170.833309   \n",
+       "   7   POLYGON ((612094.8686636525 5048873.447484465,...       686.358445   \n",
+       "   8   POLYGON ((608362.6028728257 5047760.708784216,...       862.900870   \n",
+       "   9   POLYGON ((590425.5787129672 5037006.84746391, ...       692.211467   \n",
+       "   10  POLYGON ((613237.2737301587 5050219.256384184,...       656.909194   \n",
+       "   11  POLYGON ((603201.0111457257 5043953.948328185,...      2017.922573   \n",
+       "   12  POLYGON ((616175.0510407207 5056946.500581575,...       545.716530   \n",
+       "   13  POLYGON ((607581.7540360473 5050220.9473461835...       536.262542   \n",
+       "   14  POLYGON ((595265.7722333539 5038024.141221167,...       685.296564   \n",
+       "   \n",
+       "       YearGroup  Building_Size  Building_Floors    lod  \n",
+       "   0   1980-2010  Medium office       4-9 floors  lod_2  \n",
+       "   1   1980-2010  Medium office       4-9 floors  lod_2  \n",
+       "   2   1980-2010  Medium office         3 floors  lod_2  \n",
+       "   3   1980-2010  Medium office         3 floors  lod_2  \n",
+       "   4   1980-2010  Medium office       4-9 floors   lod1  \n",
+       "   5   1980-2010  Medium office       4-9 floors   lod1  \n",
+       "   6   1980-2010  Medium office         3 floors   lod1  \n",
+       "   7   1980-2010  Medium office         3 floors   lod1  \n",
+       "   8   1980-2010  Medium office       4-9 floors   lod1  \n",
+       "   9   1980-2010  Medium office         3 floors   lod1  \n",
+       "   10  1980-2010  Medium office       4-9 floors   lod1  \n",
+       "   11  1980-2010  Medium office         2 floors   lod1  \n",
+       "   12  1980-2010  Medium office         3 floors   lod1  \n",
+       "   13  1980-2010  Medium office       4-9 floors   lod1  \n",
+       "   14  1980-2010  Medium office         2 floors   lod1  \n",
+       "   \n",
+       "   [15 rows x 32 columns],\n",
+       "   'Large Office':     OBJECTID   ID_UEV  CIVIQUE_DE  CIVIQUE_FI  \\\n",
+       "   0     136441  1018295        2100        2100   \n",
+       "   1     178288  5018029          30          30   \n",
+       "   2     180306  3064572        5252        5252   \n",
+       "   3     215539  3040016        5101        5151   \n",
+       "   4     199890  3057021        8585        8585   \n",
+       "   5     166380  1022076        1200        1200   \n",
+       "   6     270746  3037576        5410        5460   \n",
+       "   7     181675  1111518        3000        3000   \n",
+       "   8     182131  1120354          16          16   \n",
+       "   9     256948  3040171        6150        6150   \n",
+       "   10    180957  1101874          20          20   \n",
+       "   11    132813  1037417        1180        1180   \n",
+       "   12    219260  3116848        8000        8000   \n",
+       "   13    214424  3113168        8300        8300   \n",
+       "   14    182014  5063675          25          35   \n",
+       "   \n",
+       "                                         NOM_RUE  MUNICIPALI  CODE_UTILI  \\\n",
+       "   0         boulevard De Maisonneuve Est  (MTL)          50        6000   \n",
+       "   1                           rue McGill  (MTL)          50        6000   \n",
+       "   2   boulevard De Maisonneuve Ouest  (MTL+WMT)          50        6000   \n",
+       "   3                           rue Buchan  (MTL)          50        6000   \n",
+       "   4            boulevard Décarie  (CSL+MTL+MTR)          13        6000   \n",
+       "   5                      avenue Papineau  (MTL)          50        6000   \n",
+       "   6            boulevard Décarie  (CSL+MTL+MTR)          50        6000   \n",
+       "   7              boulevard René-Lévesque  (VRD)          50        6000   \n",
+       "   8                    place du Commerce  (VRD)          50        6000   \n",
+       "   9                avenue Royalmount  (MTL+MTR)          50        6000   \n",
+       "   10                   place du Commerce  (VRD)          50        6000   \n",
+       "   11                        rue Drummond  (MTL)          50        6000   \n",
+       "   12           boulevard Décarie  (CSL+MTL+MTR)          50        6000   \n",
+       "   13           boulevard Décarie  (CSL+MTL+MTR)          13        6000   \n",
+       "   14                     rue de Nazareth  (MTL)          50        6000   \n",
+       "   \n",
+       "               LIBELLE_UT CATEGORIE_  Hieght_LiD  ...  \\\n",
+       "   0   Immeuble à bureaux   Régulier          27  ...   \n",
+       "   1   Immeuble à bureaux   Régulier          24  ...   \n",
+       "   2   Immeuble à bureaux   Régulier          18  ...   \n",
+       "   3   Immeuble à bureaux   Régulier          22  ...   \n",
+       "   4   Immeuble à bureaux   Régulier          14  ...   \n",
+       "   5   Immeuble à bureaux   Régulier          22  ...   \n",
+       "   6   Immeuble à bureaux   Régulier          11  ...   \n",
+       "   7   Immeuble à bureaux   Régulier          21  ...   \n",
+       "   8   Immeuble à bureaux   Régulier          45  ...   \n",
+       "   9   Immeuble à bureaux   Régulier          11  ...   \n",
+       "   10  Immeuble à bureaux   Régulier          16  ...   \n",
+       "   11  Immeuble à bureaux   Régulier          32  ...   \n",
+       "   12  Immeuble à bureaux   Régulier          30  ...   \n",
+       "   13  Immeuble à bureaux   Régulier          31  ...   \n",
+       "   14  Immeuble à bureaux   Régulier          15  ...   \n",
+       "   \n",
+       "                                                geometry  ANNEE_CONS  \\\n",
+       "   0   POLYGON ((-73.55100946557377 45.52563124822784...        1991   \n",
+       "   1   POLYGON ((-73.55362506423262 45.49886334368870...        1994   \n",
+       "   2   POLYGON ((-73.60421107926526 45.47342503779706...        1984   \n",
+       "   3   POLYGON ((-73.6526212975745 45.497623339705534...        1988   \n",
+       "   4   POLYGON ((-73.66312760145355 45.50263714020028...        1999   \n",
+       "   5   POLYGON ((-73.55110756493718 45.52187514751105...        1989   \n",
+       "   6   POLYGON ((-73.63600359200115 45.48621213827943...        1990   \n",
+       "   7   POLYGON ((-73.54117635752343 45.46720603902842...        1990   \n",
+       "   8   POLYGON ((-73.53873195794027 45.46942303870693...        1992   \n",
+       "   9   POLYGON ((-73.67468230398521 45.48575153731101...        1985   \n",
+       "   10  POLYGON ((-73.53800655733232 45.46777893858476...        1992   \n",
+       "   11  POLYGON ((-73.57243327074818 45.49724974218362...        1983   \n",
+       "   12  POLYGON ((-73.65891440079295 45.49748893919160...        1989   \n",
+       "   13  POLYGON ((-73.6624955014951 45.49967793923336,...        2000   \n",
+       "   14  POLYGON ((-73.55308696344215 45.49524074246535...        1997   \n",
+       "   \n",
+       "       New_AspectRatio  New_SurfacetoVolumeRatio  \\\n",
+       "   0          1.374853                  0.037037   \n",
+       "   1          1.650928                  0.041667   \n",
+       "   2          1.396411                  0.055556   \n",
+       "   3          1.549756                  0.045455   \n",
+       "   4          1.256210                  0.071429   \n",
+       "   5          1.498050                  0.045455   \n",
+       "   6          2.100347                  0.090909   \n",
+       "   7          1.172380                  0.047619   \n",
+       "   8          1.440438                  0.022222   \n",
+       "   9          1.676142                  0.090909   \n",
+       "   10         1.281841                  0.062500   \n",
+       "   11         1.295537                  0.031250   \n",
+       "   12         1.458684                  0.033333   \n",
+       "   13         1.371095                  0.032258   \n",
+       "   14         1.468895                  0.066667   \n",
+       "   \n",
+       "                                    transformed_geometry  calculated_area  \\\n",
+       "   0   POLYGON ((613153.4162480433 5042365.147627981,...       908.514454   \n",
+       "   1   POLYGON ((613002.7290578254 5039387.637030313,...      1707.819565   \n",
+       "   2   POLYGON ((609099.648652016 5036491.606191221, ...      2218.425067   \n",
+       "   3   POLYGON ((605270.6621204944 5039115.358643871,...      2441.983097   \n",
+       "   4   POLYGON ((604440.5355995168 5039658.658461258,...      1646.616764   \n",
+       "   5   POLYGON ((613153.2867900351 5041947.717994477,...      1801.600440   \n",
+       "   6   POLYGON ((606590.5262781418 5037869.529217423,...      4268.350915   \n",
+       "   7   POLYGON ((614039.1863211176 5035888.221200731,...      1943.869374   \n",
+       "   8   POLYGON ((614225.7904482133 5036137.992681035,...      1440.963440   \n",
+       "   9   POLYGON ((603568.8018773141 5037767.7658131765...      2336.725862   \n",
+       "   10  POLYGON ((614285.8172348907 5035956.371250265,...      1466.650775   \n",
+       "   11  POLYGON ((611536.4681763359 5039182.080705276,...       925.199363   \n",
+       "   12  POLYGON ((604779.2328753547 5039092.198393066,...      2190.026745   \n",
+       "   13  POLYGON ((604495.3919473287 5039330.723400154,...      1366.750722   \n",
+       "   14  POLYGON ((613052.0200412966 5038985.936059303,...      2728.816236   \n",
+       "   \n",
+       "       YearGroup  Building_Size  Building_Floors    lod  \n",
+       "   0   1980-2010   Large office       4-9 floors  lod_2  \n",
+       "   1   1980-2010   Large office       4-9 floors  lod_2  \n",
+       "   2   1980-2010   Large office       4-9 floors  lod_2  \n",
+       "   3   1980-2010   Large office       4-9 floors  lod_2  \n",
+       "   4   1980-2010   Large office       4-9 floors  lod_2  \n",
+       "   5   1980-2010   Large office       4-9 floors  lod_2  \n",
+       "   6   1980-2010   Large office         3 floors  lod_2  \n",
+       "   7   1980-2010   Large office       4-9 floors  lod_2  \n",
+       "   8   1980-2010   Large office       10+ floors  lod_2  \n",
+       "   9   1980-2010   Large office         3 floors  lod_2  \n",
+       "   10  1980-2010   Large office       4-9 floors  lod_2  \n",
+       "   11  1980-2010   Large office       4-9 floors  lod_2  \n",
+       "   12  1980-2010   Large office       4-9 floors  lod_2  \n",
+       "   13  1980-2010   Large office       4-9 floors  lod_2  \n",
+       "   14  1980-2010   Large office       4-9 floors  lod_2  \n",
+       "   \n",
+       "   [15 rows x 32 columns],\n",
+       "   'Mega Office':     OBJECTID   ID_UEV  CIVIQUE_DE  CIVIQUE_FI  \\\n",
+       "   0     220870  3040395        4300        4800   \n",
+       "   1     177020  1120317        1001        1001   \n",
+       "   2     178786  5033901         100         140   \n",
+       "   3     130947  1038846         500         500   \n",
+       "   4     170920  1038860        2001        2001   \n",
+       "   5     131802  1037714        1981        1981   \n",
+       "   6     202964  3110829        3744        3750   \n",
+       "   7     181984  1036825         600         600   \n",
+       "   8     177953  3076957        5100        5100   \n",
+       "   9     173352  1039095         999         999   \n",
+       "   10    166053  1037703        2000        2000   \n",
+       "   11    165537  1039357        1100        1150   \n",
+       "   12    173705  1037690        2000        2000   \n",
+       "   13    160267  5100116        2105        2155   \n",
+       "   14     54420  2140286        7100        7100   \n",
+       "   \n",
+       "                                         NOM_RUE  MUNICIPALI  CODE_UTILI  \\\n",
+       "   0                     rue de la Savane  (MTL)          50        6000   \n",
+       "   1                           rue Levert  (VRD)          50        6000   \n",
+       "   2                           rue Prince  (MTL)          50        6000   \n",
+       "   3         rue Sherbrooke Ouest  (MTL+MTO+WMT)          50        6000   \n",
+       "   4                avenue McGill College  (MTL)          50        6000   \n",
+       "   5                avenue McGill College  (MTL)          50        6000   \n",
+       "   6                    rue Jean-Brillant  (MTL)          50        6000   \n",
+       "   7          rue De La Gauchetière Ouest  (MTL)          50        6000   \n",
+       "   8   boulevard De Maisonneuve Ouest  (MTL+WMT)          50        6000   \n",
+       "   9   boulevard De Maisonneuve Ouest  (MTL+WMT)          50        6000   \n",
+       "   10               avenue McGill College  (MTL)          50        6000   \n",
+       "   11       boulevard René-Lévesque Ouest  (MTL)          50        6000   \n",
+       "   12                       rue Mansfield  (MTL)          50        6000   \n",
+       "   13            boulevard Pie-IX  (MTL+MTN+SLN)          50        6000   \n",
+       "   14          rue Jean-Talon Est  (ANJ+MTL+SLN)          50        6000   \n",
+       "   \n",
+       "               LIBELLE_UT CATEGORIE_  Hieght_LiD  ...  \\\n",
+       "   0   Immeuble à bureaux   Régulier          18  ...   \n",
+       "   1   Immeuble à bureaux   Régulier          17  ...   \n",
+       "   2   Immeuble à bureaux   Régulier          40  ...   \n",
+       "   3   Immeuble à bureaux   Régulier          84  ...   \n",
+       "   4   Immeuble à bureaux   Régulier         107  ...   \n",
+       "   5   Immeuble à bureaux   Régulier          87  ...   \n",
+       "   6   Immeuble à bureaux   Régulier          30  ...   \n",
+       "   7   Immeuble à bureaux   Régulier         130  ...   \n",
+       "   8   Immeuble à bureaux   Régulier          36  ...   \n",
+       "   9   Immeuble à bureaux   Régulier          80  ...   \n",
+       "   10  Immeuble à bureaux   Régulier          89  ...   \n",
+       "   11  Immeuble à bureaux   Régulier         109  ...   \n",
+       "   12  Immeuble à bureaux   Régulier          76  ...   \n",
+       "   13  Immeuble à bureaux   Régulier          24  ...   \n",
+       "   14  Immeuble à bureaux   Régulier          50  ...   \n",
+       "   \n",
+       "                                                geometry  ANNEE_CONS  \\\n",
+       "   0   POLYGON ((-73.65088519720346 45.50008743995382...        1989   \n",
+       "   1   POLYGON ((-73.53529665622786 45.46923843852096...        1992   \n",
+       "   2   POLYGON ((-73.55607586512798 45.49683074287126...        2001   \n",
+       "   3   POLYGON ((-73.57145507093516 45.50607784465425...        1983   \n",
+       "   4   POLYGON ((-73.57323887187671 45.50388664395000...        1983   \n",
+       "   5   POLYGON ((-73.57295467110741 45.50337614326187...        1982   \n",
+       "   6   POLYGON ((-73.62138168713483 45.49507694065316...        1990   \n",
+       "   7   POLYGON ((-73.56396736750976 45.50206094320884...        1983   \n",
+       "   8   POLYGON ((-73.60296937937736 45.47480593828091...        1985   \n",
+       "   9   POLYGON ((-73.574316008861 45.50218379765568, ...        1990   \n",
+       "   10  POLYGON ((-73.57323987210484 45.50264874347339...        1986   \n",
+       "   11  POLYGON ((-73.56985727004927 45.49821354356062...        1986   \n",
+       "   12  POLYGON ((-73.57358727119336 45.50221604291654...        1982   \n",
+       "   13  POLYGON ((-73.54349606462512 45.55186345256329...        1998   \n",
+       "   14  POLYGON ((-73.56955207727563 45.59791376043324...        1991   \n",
+       "   \n",
+       "       New_AspectRatio  New_SurfacetoVolumeRatio  \\\n",
+       "   0          1.323847                  0.055556   \n",
+       "   1          2.511949                  0.058824   \n",
+       "   2          1.510791                  0.025000   \n",
+       "   3          1.651884                  0.011905   \n",
+       "   4          1.501803                  0.009346   \n",
+       "   5          1.399063                  0.011494   \n",
+       "   6          1.401354                  0.033333   \n",
+       "   7          1.574529                  0.007692   \n",
+       "   8          1.253455                  0.027778   \n",
+       "   9          1.577076                  0.012500   \n",
+       "   10         1.483641                  0.011236   \n",
+       "   11         1.970433                  0.009174   \n",
+       "   12         1.602096                  0.013158   \n",
+       "   13         1.546079                  0.041667   \n",
+       "   14         1.238061                  0.020000   \n",
+       "   \n",
+       "                                    transformed_geometry  calculated_area  \\\n",
+       "   0   POLYGON ((605401.7048740102 5039391.388646708,...     10279.630944   \n",
+       "   1   POLYGON ((614494.6973297049 5036122.3733950425...      8580.079571   \n",
+       "   2   POLYGON ((612815.3126314301 5039158.3768859925...      5757.770973   \n",
+       "   3   POLYGON ((611595.449610821 5040164.211494869, ...      4033.023473   \n",
+       "   4   POLYGON ((611460.4275958741 5039918.299194139,...      3774.469340   \n",
+       "   5   POLYGON ((611483.6374476491 5039861.978780629,...      3414.944429   \n",
+       "   6   POLYGON ((607716.2602899009 5038873.881764808,...      3395.434983   \n",
+       "   7   POLYGON ((612188.35391886 5039728.379807612, 6...      2623.295234   \n",
+       "   8   POLYGON ((609194.0365329708 5036646.705540863,...      2292.937223   \n",
+       "   9   POLYGON ((611379.6389335282 5039727.6243711915...      1685.480324   \n",
+       "   10  POLYGON ((611462.7927269334 5039780.771270086,...      1595.722265   \n",
+       "   11  POLYGON ((611735.8250686006 5039292.736152733,...      1588.070898   \n",
+       "   12  POLYGON ((611436.5067652428 5039732.217619195,...      1449.241003   \n",
+       "   13  POLYGON ((613687.2573297521 5045290.090481005,...      4162.700903   \n",
+       "   14  POLYGON ((611562.2272808274 5050369.59757262, ...      1468.874974   \n",
+       "   \n",
+       "       YearGroup  Building_Size  Building_Floors    lod  \n",
+       "   0   1980-2010    Mega office       4-9 floors  lod_2  \n",
+       "   1   1980-2010    Mega office       4-9 floors  lod_2  \n",
+       "   2   1980-2010    Mega office       10+ floors  lod_2  \n",
+       "   3   1980-2010    Mega office       10+ floors  lod_2  \n",
+       "   4   1980-2010    Mega office       10+ floors  lod_2  \n",
+       "   5   1980-2010    Mega office       10+ floors  lod_2  \n",
+       "   6   1980-2010    Mega office       4-9 floors  lod_2  \n",
+       "   7   1980-2010    Mega office       10+ floors  lod_2  \n",
+       "   8   1980-2010    Mega office       4-9 floors  lod_2  \n",
+       "   9   1980-2010    Mega office       10+ floors  lod_2  \n",
+       "   10  1980-2010    Mega office       10+ floors  lod_2  \n",
+       "   11  1980-2010    Mega office       10+ floors  lod_2  \n",
+       "   12  1980-2010    Mega office       10+ floors  lod_2  \n",
+       "   13  1980-2010    Mega office       4-9 floors   lod1  \n",
+       "   14  1980-2010    Mega office       10+ floors   lod1  \n",
+       "   \n",
+       "   [15 rows x 32 columns]},\n",
+       "  '2011-2024': {'Single-Use Office': Empty DataFrame\n",
+       "   Columns: [OBJECTID, ID_UEV, CIVIQUE_DE, CIVIQUE_FI, NOM_RUE, MUNICIPALI, CODE_UTILI, LIBELLE_UT, CATEGORIE_, Hieght_LiD, AREA_NEW, MBG_Width, MBG_Length, MBG_Orientation, Shape_Length, Shape_Area, BuildingCategory, BuildingVolume, FloorNu_RawTax, FloorNu_RawTax.1, Floor_frmHieght, TotalFloorArea, geometry, ANNEE_CONS, New_AspectRatio, New_SurfacetoVolumeRatio, transformed_geometry, calculated_area, YearGroup, Building_Size, Building_Floors, lod]\n",
+       "   Index: []\n",
+       "   \n",
+       "   [0 rows x 32 columns],\n",
+       "   'Small Office':    OBJECTID   ID_UEV  CIVIQUE_DE  CIVIQUE_FI                      NOM_RUE  \\\n",
+       "   0    322435  4070722         990         990           Herron Road  (DVL)   \n",
+       "   1    313699  4007571           4           4           avenue King  (PCL)   \n",
+       "   2    152154  3029823       12049       12049  boulevard Laurentien  (MTL)   \n",
+       "   \n",
+       "      MUNICIPALI  CODE_UTILI          LIBELLE_UT CATEGORIE_  Hieght_LiD  ...  \\\n",
+       "   0           6        6000  Immeuble à bureaux   Régulier           6  ...   \n",
+       "   1          20        6000  Immeuble à bureaux   Régulier          10  ...   \n",
+       "   2          50        6000  Immeuble à bureaux   Régulier           6  ...   \n",
+       "   \n",
+       "                                               geometry  ANNEE_CONS  \\\n",
+       "   0  POLYGON ((-73.74677 45.44735, -73.74677 45.447...        2018   \n",
+       "   1  POLYGON ((-73.78861 45.45081, -73.78865 45.450...        2015   \n",
+       "   2  POLYGON ((-73.71629 45.52678, -73.71628 45.526...        2020   \n",
+       "   \n",
+       "      New_AspectRatio  New_SurfacetoVolumeRatio  \\\n",
+       "   0         2.130206                  0.166667   \n",
+       "   1         1.650503                  0.100000   \n",
+       "   2         1.345819                  0.166667   \n",
+       "   \n",
+       "                                   transformed_geometry  calculated_area  \\\n",
+       "   0  POLYGON ((598002.190 5033410.785, 598001.774 5...       287.626441   \n",
+       "   1  POLYGON ((594724.584 5033745.511, 594721.359 5...       187.168448   \n",
+       "   2  POLYGON ((600244.085 5042273.362, 600245.526 5...       322.000869   \n",
+       "   \n",
+       "      YearGroup  Building_Size  Building_Floors   lod  \n",
+       "   0  2018-2020   Small office         2 floors  lod1  \n",
+       "   1  2011-2017   Small office         3 floors  lod1  \n",
+       "   2  2018-2020   Small office         2 floors  lod1  \n",
+       "   \n",
+       "   [3 rows x 32 columns],\n",
+       "   'Medium Office':    OBJECTID   ID_UEV  CIVIQUE_DE  CIVIQUE_FI  \\\n",
+       "   0    182872  5280939        1753        1753   \n",
+       "   1    180484  1004223         620         630   \n",
+       "   2     82733  5212955         150         150   \n",
+       "   3    161853  3071763        5773        5781   \n",
+       "   4    259077  5245221         250         252   \n",
+       "   5    266828  5074545        7140        7140   \n",
+       "   \n",
+       "                                       NOM_RUE  MUNICIPALI  CODE_UTILI  \\\n",
+       "   0              rue Saint-Patrick  (LSL+MTL)          50        6000   \n",
+       "   1               rue Saint-Paul Ouest  (MTL)          50        6000   \n",
+       "   2         boulevard de la Côte-Vertu  (SLR)          50        6000   \n",
+       "   3  boulevard Gouin Ouest  (MTL+PFD+ROX+SGV)          50        6000   \n",
+       "   4                           rue Ness  (SLR)          50        6000   \n",
+       "   5                rue Albert-Einstein  (SLR)          50        6000   \n",
+       "   \n",
+       "              LIBELLE_UT   CATEGORIE_  Hieght_LiD  ...  \\\n",
+       "   0  Immeuble à bureaux     Régulier          13  ...   \n",
+       "   1  Immeuble à bureaux     Régulier          10  ...   \n",
+       "   2  Immeuble à bureaux  Condominium          14  ...   \n",
+       "   3  Immeuble à bureaux     Régulier          10  ...   \n",
+       "   4  Immeuble à bureaux  Condominium          11  ...   \n",
+       "   5  Immeuble à bureaux     Régulier          11  ...   \n",
+       "   \n",
+       "                                               geometry  ANNEE_CONS  \\\n",
+       "   0  POLYGON ((-73.56443 45.48536, -73.56432 45.485...        2021   \n",
+       "   1  POLYGON ((-73.55715 45.49955, -73.55728 45.499...        2019   \n",
+       "   2  POLYGON ((-73.66828 45.52888, -73.66812 45.529...        2012   \n",
+       "   3  POLYGON ((-73.72020 45.53263, -73.72030 45.532...        2018   \n",
+       "   4  POLYGON ((-73.69745 45.48261, -73.69768 45.482...        2015   \n",
+       "   5  POLYGON ((-73.76239 45.47998, -73.76246 45.480...        2013   \n",
+       "   \n",
+       "      New_AspectRatio  New_SurfacetoVolumeRatio  \\\n",
+       "   0         1.669333                  0.076923   \n",
+       "   1         1.722679                  0.100000   \n",
+       "   2         0.990639                  0.071429   \n",
+       "   3         2.043833                  0.100000   \n",
+       "   4         1.454069                  0.090909   \n",
+       "   5         1.144823                  0.090909   \n",
+       "   \n",
+       "                                   transformed_geometry  calculated_area  \\\n",
+       "   0  POLYGON ((612185.156 5037872.753, 612193.739 5...       908.476056   \n",
+       "   1  POLYGON ((612725.911 5039459.373, 612715.877 5...       708.065819   \n",
+       "   2  POLYGON ((603989.943 5042567.370, 604001.806 5...      1058.767886   \n",
+       "   3  POLYGON ((599928.729 5042918.501, 599921.062 5...       616.250034   \n",
+       "   4  POLYGON ((601795.347 5037389.514, 601776.879 5...      1264.996583   \n",
+       "   5  POLYGON ((596724.725 5037017.122, 596719.008 5...       579.997941   \n",
+       "   \n",
+       "      YearGroup  Building_Size  Building_Floors   lod  \n",
+       "   0  2021-2024  Medium office       4-9 floors  lod1  \n",
+       "   1  2018-2020  Medium office         3 floors  lod1  \n",
+       "   2  2011-2017  Medium office       4-9 floors  lod1  \n",
+       "   3  2018-2020  Medium office         3 floors  lod1  \n",
+       "   4  2011-2017  Medium office         3 floors  lod1  \n",
+       "   5  2011-2017  Medium office         3 floors  lod1  \n",
+       "   \n",
+       "   [6 rows x 32 columns],\n",
+       "   'Large Office':    OBJECTID   ID_UEV  CIVIQUE_DE  CIVIQUE_FI  \\\n",
+       "   0    158811  5167586          50          50   \n",
+       "   1    322981  5151725        6500        6500   \n",
+       "   2    319978  5084499       10500       10500   \n",
+       "   3     73807  2070978       10201       10205   \n",
+       "   4    227768  5226066        4625        4625   \n",
+       "   5    139625  5159686        4200        4200   \n",
+       "   6     37361  5095972        6700        6700   \n",
+       "   7    260042  5023187        2500        2500   \n",
+       "   \n",
+       "                                                NOM_RUE  MUNICIPALI  CODE_UTILI  \\\n",
+       "   0              rue Sainte-Catherine Ouest  (MTL+WMT)          50        6000   \n",
+       "   1  autoroute Transcanadienne  (BCF+BDU+DVL+KRK+MT...          20        6000   \n",
+       "   2                                 avenue Ryan  (DVL)           6        6000   \n",
+       "   3                    boulevard Pie-IX  (MTL+MTN+SLN)          50        6000   \n",
+       "   4                  boulevard de la Côte-Vertu  (SLR)          50        6000   \n",
+       "   5                                  rue Molson  (MTL)          50        6000   \n",
+       "   6                       rue Jarry Est  (ANJ+MTL+SLN)          50        6000   \n",
+       "   7                      boulevard Alfred-Nobel  (SLR)          50        6000   \n",
+       "   \n",
+       "              LIBELLE_UT   CATEGORIE_  Hieght_LiD  ...  \\\n",
+       "   0  Immeuble à bureaux     Régulier          26  ...   \n",
+       "   1  Immeuble à bureaux     Régulier          33  ...   \n",
+       "   2  Immeuble à bureaux     Régulier           9  ...   \n",
+       "   3  Immeuble à bureaux     Régulier          17  ...   \n",
+       "   4  Immeuble à bureaux  Condominium          15  ...   \n",
+       "   5  Immeuble à bureaux     Régulier          19  ...   \n",
+       "   6  Immeuble à bureaux     Régulier          25  ...   \n",
+       "   7  Immeuble à bureaux     Régulier          22  ...   \n",
+       "   \n",
+       "                                               geometry  ANNEE_CONS  \\\n",
+       "   0  POLYGON ((-73.56360406846129 45.50892014476144...        2011   \n",
+       "   1  POLYGON ((-73.82322785301423 45.46396522769064...        2011   \n",
+       "   2  POLYGON ((-73.7205540186485 45.46663893173264,...        2014   \n",
+       "   3  POLYGON ((-73.63113699674821 45.58532695575341...        2015   \n",
+       "   4  POLYGON ((-73.71880711977224 45.48727033487725...        2013   \n",
+       "   5  POLYGON ((-73.56563867135604 45.54140794966192...        2014   \n",
+       "   6  POLYGON ((-73.5787786797673 45.59703426013329,...        2015   \n",
+       "   7  POLYGON ((-73.76297003428732 45.48661293313141...        2012   \n",
+       "   \n",
+       "      New_AspectRatio  New_SurfacetoVolumeRatio  \\\n",
+       "   0         1.732415                  0.038462   \n",
+       "   1         1.535416                  0.030303   \n",
+       "   2         1.069446                  0.111111   \n",
+       "   3         1.294829                  0.058824   \n",
+       "   4         1.364848                  0.066667   \n",
+       "   5         1.444266                  0.052632   \n",
+       "   6         1.290347                  0.040000   \n",
+       "   7         0.708361                  0.045455   \n",
+       "   \n",
+       "                                   transformed_geometry  calculated_area  \\\n",
+       "   0  POLYGON ((612203.105990085 5040490.9215806695,...      1300.973062   \n",
+       "   1  POLYGON ((591995.975522049 5035166.619796733, ...      1956.667150   \n",
+       "   2  POLYGON ((600017.9128945986 5035586.313961608,...      2360.070959   \n",
+       "   3  POLYGON ((606783.039737299 5048887.381034302, ...       950.409161   \n",
+       "   4  POLYGON ((600117.9246373213 5037880.560516017,...      3342.123506   \n",
+       "   5  POLYGON ((611979.6868456387 5044097.378248973,...      1640.359137   \n",
+       "   6  POLYGON ((610844.3691160333 5050259.090032822,...      1608.209108   \n",
+       "   7  POLYGON ((596667.9775473076 5037753.43601976, ...      2524.299622   \n",
+       "   \n",
+       "      YearGroup  Building_Size  Building_Floors    lod  \n",
+       "   0  2011-2017   Large office       4-9 floors  lod_2  \n",
+       "   1  2011-2017   Large office       4-9 floors   lod1  \n",
+       "   2  2011-2017   Large office         3 floors   lod1  \n",
+       "   3  2011-2017   Large office       4-9 floors   lod1  \n",
+       "   4  2011-2017   Large office       4-9 floors   lod1  \n",
+       "   5  2011-2017   Large office       4-9 floors   lod1  \n",
+       "   6  2011-2017   Large office       4-9 floors   lod1  \n",
+       "   7  2011-2017   Large office       4-9 floors   lod1  \n",
+       "   \n",
+       "   [8 rows x 32 columns],\n",
+       "   'Mega Office':    OBJECTID   ID_UEV  CIVIQUE_DE  CIVIQUE_FI  \\\n",
+       "   0    177333  1125630        1190        1190   \n",
+       "   1    255742  4155350        8275        8275   \n",
+       "   2    268978  5027512        2600        2600   \n",
+       "   \n",
+       "                                                NOM_RUE  MUNICIPALI  CODE_UTILI  \\\n",
+       "   0            avenue des Canadiens-de-Montréal  (MTL)          50        6000   \n",
+       "   1  autoroute Transcanadienne  (BCF+BDU+DVL+KRK+MT...          50        6000   \n",
+       "   2                      boulevard Alfred-Nobel  (SLR)          50        6000   \n",
+       "   \n",
+       "              LIBELLE_UT CATEGORIE_  Hieght_LiD  ...  \\\n",
+       "   0  Immeuble à bureaux   Régulier         124  ...   \n",
+       "   1  Immeuble à bureaux   Régulier          20  ...   \n",
+       "   2  Immeuble à bureaux   Régulier          27  ...   \n",
+       "   \n",
+       "                                               geometry  ANNEE_CONS  \\\n",
+       "   0  POLYGON ((-73.56803 45.49611, -73.56782 45.496...        2015   \n",
+       "   1  POLYGON ((-73.72687 45.49197, -73.72741 45.492...        2016   \n",
+       "   2  POLYGON ((-73.76374 45.48812, -73.76422 45.488...        2015   \n",
+       "   \n",
+       "      New_AspectRatio  New_SurfacetoVolumeRatio  \\\n",
+       "   0         1.513417                  0.008065   \n",
+       "   1         0.966927                  0.050000   \n",
+       "   2         1.738332                  0.037037   \n",
+       "   \n",
+       "                                   transformed_geometry  calculated_area  \\\n",
+       "   0  POLYGON ((611882.998 5039062.071, 611898.734 5...     11644.077457   \n",
+       "   1  POLYGON ((599479.885 5038392.780, 599437.165 5...     11647.439141   \n",
+       "   2  POLYGON ((596605.347 5037919.434, 596567.734 5...      3288.543644   \n",
+       "   \n",
+       "      YearGroup  Building_Size  Building_Floors   lod  \n",
+       "   0  2011-2017    Mega office       10+ floors  lod1  \n",
+       "   1  2011-2017    Mega office       4-9 floors  lod1  \n",
+       "   2  2011-2017    Mega office       4-9 floors  lod1  \n",
+       "   \n",
+       "   [3 rows x 32 columns]}},\n",
+       " 'fully_attached': {'1800-1945': {'Single-Use Office':     OBJECTID   ID_UEV  CIVIQUE_DE  CIVIQUE_FI  \\\n",
+       "   0     174287  1036925        2008        2010   \n",
+       "   1     175685  1036915        2060        2060   \n",
+       "   2     174284  1036921        2030        2030   \n",
+       "   3     174286  1036923        2020        2020   \n",
+       "   4     175899  1010717        4635        4635   \n",
+       "   5     180512  1037607        3467        3467   \n",
+       "   6     168338  1003413        1241        1243   \n",
+       "   7     177750  1010768        4484        4484   \n",
+       "   8     175514  1036917        2050        2052   \n",
+       "   9     173524  1036798        2140        2140   \n",
+       "   10    135098  1025003        4517        4519   \n",
+       "   11    175944  1013114        4927        4927   \n",
+       "   \n",
+       "                                   NOM_RUE  MUNICIPALI  CODE_UTILI  \\\n",
+       "   0                     rue Mackay  (MTL)          50        6000   \n",
+       "   1                     rue Mackay  (MTL)          50        6000   \n",
+       "   2                     rue Mackay  (MTL)          50        6000   \n",
+       "   3                     rue Mackay  (MTL)          50        6000   \n",
+       "   4   rue Sherbrooke Ouest  (MTL+MTO+WMT)          29        6000   \n",
+       "   5                       rue Peel  (MTL)          50        6000   \n",
+       "   6               rue Saint-Hubert  (MTL)          50        6000   \n",
+       "   7   rue Sherbrooke Ouest  (MTL+MTO+WMT)          29        6000   \n",
+       "   8                     rue Mackay  (MTL)          50        6000   \n",
+       "   9                     rue Bishop  (MTL)          50        6000   \n",
+       "   10               rue Saint-Denis  (MTL)          50        6000   \n",
+       "   11  rue Sherbrooke Ouest  (MTL+MTO+WMT)          29        6000   \n",
+       "   \n",
+       "               LIBELLE_UT CATEGORIE_  Hieght_LiD  ...  \\\n",
+       "   0   Immeuble à bureaux   Régulier          10  ...   \n",
+       "   1   Immeuble à bureaux   Régulier          11  ...   \n",
+       "   2   Immeuble à bureaux   Régulier          10  ...   \n",
+       "   3   Immeuble à bureaux   Régulier           9  ...   \n",
+       "   4   Immeuble à bureaux   Régulier           5  ...   \n",
+       "   5   Immeuble à bureaux   Régulier           9  ...   \n",
+       "   6   Immeuble à bureaux   Régulier          12  ...   \n",
+       "   7   Immeuble à bureaux   Régulier          12  ...   \n",
+       "   8   Immeuble à bureaux   Régulier          10  ...   \n",
+       "   9   Immeuble à bureaux   Régulier          12  ...   \n",
+       "   10  Immeuble à bureaux   Régulier          10  ...   \n",
+       "   11  Immeuble à bureaux   Régulier          10  ...   \n",
+       "   \n",
+       "                                                geometry  ANNEE_CONS  \\\n",
+       "   0   POLYGON ((-73.57923482714165 45.49643958269149...        1875   \n",
+       "   1   POLYGON ((-73.57949965328592 45.49674718229963...        1875   \n",
+       "   2   POLYGON ((-73.57925980735409 45.4966222832302,...        1875   \n",
+       "   3   POLYGON ((-73.5791844539172 45.49658448264507,...        1875   \n",
+       "   4   POLYGON ((-73.60087141672184 45.48143416674234...        1900   \n",
+       "   5   POLYGON ((-73.57817190541361 45.50283903545996...        1882   \n",
+       "   6   POLYGON ((-73.55786630586489 45.51511099260470...        1870   \n",
+       "   7   POLYGON ((-73.59789452736715 45.48338892781737...        1900   \n",
+       "   8   POLYGON ((-73.57946203685103 45.49666073884537...        1875   \n",
+       "   9   POLYGON ((-73.57941023018063 45.4976507401893,...        1900   \n",
+       "   10  POLYGON ((-73.58318141119986 45.52425047691174...        1892   \n",
+       "   11  POLYGON ((-73.60516587883734 45.47771508306778...        1940   \n",
+       "   \n",
+       "       New_AspectRatio  New_SurfacetoVolumeRatio  \\\n",
+       "   0          1.088741                  0.100000   \n",
+       "   1          1.231226                  0.090909   \n",
+       "   2          1.225317                  0.100000   \n",
+       "   3          1.229294                  0.111111   \n",
+       "   4          1.400984                  0.200000   \n",
+       "   5          1.270927                  0.111111   \n",
+       "   6          0.997978                  0.083333   \n",
+       "   7          1.866022                  0.083333   \n",
+       "   8          0.957876                  0.100000   \n",
+       "   9          1.016999                  0.083333   \n",
+       "   10         1.204577                  0.100000   \n",
+       "   11         1.809621                  0.100000   \n",
+       "   \n",
+       "                                    transformed_geometry  calculated_area  \\\n",
+       "   0   POLYGON ((611006.6532054277 5039082.652100029,...       142.802691   \n",
+       "   1   POLYGON ((610985.3576018272 5039116.459360875,...       116.490061   \n",
+       "   2   POLYGON ((611004.3424319958 5039102.914963155,...       106.400838   \n",
+       "   3   POLYGON ((611010.3041664528 5039098.819595684,...       105.945579   \n",
+       "   4   POLYGON ((609345.1927641665 5037385.92952477, ...        96.913628   \n",
+       "   5   POLYGON ((611077.1144450825 5039795.078734162,...       130.751907   \n",
+       "   6   POLYGON ((612638.9533373881 5041186.737881251,...       124.451621   \n",
+       "   7   POLYGON ((609574.052875897 5037607.152059191, ...       107.344803   \n",
+       "   8   POLYGON ((610988.466459992 5039106.907776397, ...       118.992284   \n",
+       "   9   POLYGON ((610990.5688424296 5039216.965045196,...       133.812163   \n",
+       "   10  POLYGON ((610643.7862966317 5042166.904881401,...       125.497736   \n",
+       "   11  POLYGON ((609016.7446293398 5036966.917597519,...       120.122615   \n",
+       "   \n",
+       "       YearGroup      Building_Size  Building_Floors    lod  \n",
+       "   0   1800-1945  Single use office         3 floors  lod_2  \n",
+       "   1   1800-1945  Single use office         3 floors  lod_2  \n",
+       "   2   1800-1945  Single use office         3 floors  lod_2  \n",
+       "   3   1800-1945  Single use office         3 floors   lod1  \n",
+       "   4   1800-1945  Single use office         2 floors   lod1  \n",
+       "   5   1800-1945  Single use office         3 floors   lod1  \n",
+       "   6   1800-1945  Single use office         3 floors   lod1  \n",
+       "   7   1800-1945  Single use office         3 floors   lod1  \n",
+       "   8   1800-1945  Single use office         3 floors   lod1  \n",
+       "   9   1800-1945  Single use office         3 floors   lod1  \n",
+       "   10  1800-1945  Single use office         3 floors   lod1  \n",
+       "   11  1800-1945  Single use office         3 floors   lod1  \n",
+       "   \n",
+       "   [12 rows x 32 columns],\n",
+       "   'Small Office':     OBJECTID   ID_UEV  CIVIQUE_DE  CIVIQUE_FI  \\\n",
+       "   0     175545  1036911        2080        2090   \n",
+       "   1     173534  1036800        2150        2150   \n",
+       "   2     132910  1000013        1407        1407   \n",
+       "   3     179432  1037715        1939        1939   \n",
+       "   4     175469  1036906        2110        2110   \n",
+       "   5     131496  1002405         292         292   \n",
+       "   6     180492  1037620        3437        3437   \n",
+       "   7     166059  1031290        5148        5150   \n",
+       "   8     137705  1027976         910         910   \n",
+       "   9     175650  1036908        2100        2100   \n",
+       "   10    175638  1036913        2070        2070   \n",
+       "   11    174461  1036893        2145        2145   \n",
+       "   12    153472  5081111        4541        4541   \n",
+       "   13    135761  1027666         837         837   \n",
+       "   \n",
+       "                                         NOM_RUE  MUNICIPALI  CODE_UTILI  \\\n",
+       "   0                           rue Mackay  (MTL)          50        6000   \n",
+       "   1                           rue Bishop  (MTL)          50        6000   \n",
+       "   2                  rue Saint-Alexandre  (MTL)          50        6000   \n",
+       "   3   boulevard De Maisonneuve Ouest  (MTL+WMT)          50        6000   \n",
+       "   4                           rue Mackay  (MTL)          50        6000   \n",
+       "   5     boulevard Saint-Joseph Ouest  (MTL+OUT)          50        6000   \n",
+       "   6                             rue Peel  (MTL)          50        6000   \n",
+       "   7              boulevard Saint-Laurent  (MTL)          50        6000   \n",
+       "   8           boulevard Saint-Joseph Est  (MTL)          50        6000   \n",
+       "   9                           rue Mackay  (MTL)          50        6000   \n",
+       "   10                          rue Mackay  (MTL)          50        6000   \n",
+       "   11                          rue Mackay  (MTL)          50        6000   \n",
+       "   12                      avenue du Parc  (MTL)          50        6000   \n",
+       "   13                        rue Cherrier  (MTL)          50        6000   \n",
+       "   \n",
+       "               LIBELLE_UT   CATEGORIE_  Hieght_LiD  ...  \\\n",
+       "   0   Immeuble à bureaux     Régulier          12  ...   \n",
+       "   1   Immeuble à bureaux     Régulier          12  ...   \n",
+       "   2   Immeuble à bureaux     Régulier          16  ...   \n",
+       "   3   Immeuble à bureaux     Régulier          17  ...   \n",
+       "   4   Immeuble à bureaux     Régulier          19  ...   \n",
+       "   5   Immeuble à bureaux     Régulier          13  ...   \n",
+       "   6   Immeuble à bureaux     Régulier          14  ...   \n",
+       "   7   Immeuble à bureaux     Régulier          14  ...   \n",
+       "   8   Immeuble à bureaux  Condominium          13  ...   \n",
+       "   9   Immeuble à bureaux     Régulier          12  ...   \n",
+       "   10  Immeuble à bureaux     Régulier          12  ...   \n",
+       "   11  Immeuble à bureaux     Régulier          15  ...   \n",
+       "   12  Immeuble à bureaux  Condominium          16  ...   \n",
+       "   13  Immeuble à bureaux     Régulier          13  ...   \n",
+       "   \n",
+       "                                                geometry  ANNEE_CONS  \\\n",
+       "   0   POLYGON ((-73.57976672812107 45.49671965524203...        1875   \n",
+       "   1   POLYGON ((-73.57956877262106 45.49760844157216...        1900   \n",
+       "   2   POLYGON ((-73.56795521654603 45.5055619256172,...        1929   \n",
+       "   3   POLYGON ((-73.58242346997613 45.49315054801349...        1900   \n",
+       "   4   POLYGON ((-73.58003809417703 45.49682759969528...        1875   \n",
+       "   5   POLYGON ((-73.59381888478563 45.51906414786159...        1940   \n",
+       "   6   POLYGON ((-73.57753080388831 45.50252098818068...        1887   \n",
+       "   7   POLYGON ((-73.59400011339541 45.52324484064133...        1911   \n",
+       "   8   POLYGON ((-73.58515844627425 45.52866740301366...        1929   \n",
+       "   9   POLYGON ((-73.5799502045523 45.496786186527146...        1875   \n",
+       "   10  POLYGON ((-73.57971787317105 45.49669474206744...        1940   \n",
+       "   11  POLYGON ((-73.57984390137187 45.49732494717936...        1885   \n",
+       "   12  POLYGON ((-73.59005734669051 45.51726396997586...        1910   \n",
+       "   13  POLYGON ((-73.56819732545027 45.5204628489262,...        1885   \n",
+       "   \n",
+       "       New_AspectRatio  New_SurfacetoVolumeRatio  \\\n",
+       "   0          1.163087                  0.083333   \n",
+       "   1          1.121480                  0.083333   \n",
+       "   2          1.481616                  0.062500   \n",
+       "   3          1.306108                  0.058824   \n",
+       "   4          0.849337                  0.052632   \n",
+       "   5          1.806504                  0.076923   \n",
+       "   6          1.476722                  0.071429   \n",
+       "   7          1.159664                  0.071429   \n",
+       "   8          1.550925                  0.076923   \n",
+       "   9          1.170273                  0.083333   \n",
+       "   10         1.197226                  0.083333   \n",
+       "   11         0.885213                  0.066667   \n",
+       "   12         1.164402                  0.062500   \n",
+       "   13         1.952387                  0.076923   \n",
+       "   \n",
+       "                                    transformed_geometry  calculated_area  \\\n",
+       "   0   POLYGON ((610964.5448757443 5039113.0321890395...       262.584424   \n",
+       "   1   POLYGON ((610978.2650813218 5039212.046739483,...       205.305950   \n",
+       "   2   POLYGON ((611869.8733348646 5040111.764094981,...       167.017980   \n",
+       "   3   POLYGON ((610763.9691427974 5038712.850033405,...       150.086112   \n",
+       "   4   POLYGON ((610943.1307734877 5039124.649568196,...       135.589541   \n",
+       "   5   POLYGON ((609823.1674751774 5041576.113931929,...       131.969930   \n",
+       "   6   POLYGON ((611127.8247321338 5039760.631671671,...       121.994875   \n",
+       "   7   POLYGON ((609800.8795878378 5042040.328252757,...       175.793600   \n",
+       "   8   POLYGON ((610480.745590187 5042654.889418663, ...       134.137655   \n",
+       "   9   POLYGON ((610950.0790051335 5039120.1701152725...       246.570883   \n",
+       "   10  POLYGON ((610968.4109024463 5039110.331919692,...       188.286097   \n",
+       "   11  POLYGON ((610957.3262391924 5039180.171383988,...       144.207339   \n",
+       "   12  POLYGON ((610120.4557994519 5041381.271911532,...       165.172307   \n",
+       "   13  POLYGON ((611821.4408714 5041766.871394739, 61...       159.679206   \n",
+       "   \n",
+       "       YearGroup  Building_Size  Building_Floors    lod  \n",
+       "   0   1800-1945   Small office         3 floors  lod_2  \n",
+       "   1   1800-1945   Small office         3 floors  lod_2  \n",
+       "   2   1800-1945   Small office       4-9 floors  lod_2  \n",
+       "   3   1800-1945   Small office       4-9 floors  lod_2  \n",
+       "   4   1800-1945   Small office       4-9 floors  lod_2  \n",
+       "   5   1800-1945   Small office       4-9 floors  lod_2  \n",
+       "   6   1800-1945   Small office       4-9 floors  lod_2  \n",
+       "   7   1800-1945   Small office       4-9 floors   lod1  \n",
+       "   8   1800-1945   Small office       4-9 floors   lod1  \n",
+       "   9   1800-1945   Small office         3 floors   lod1  \n",
+       "   10  1800-1945   Small office         3 floors   lod1  \n",
+       "   11  1800-1945   Small office       4-9 floors   lod1  \n",
+       "   12  1800-1945   Small office       4-9 floors   lod1  \n",
+       "   13  1800-1945   Small office       4-9 floors   lod1  \n",
+       "   \n",
+       "   [14 rows x 32 columns],\n",
+       "   'Medium Office':     OBJECTID   ID_UEV  CIVIQUE_DE  CIVIQUE_FI  \\\n",
+       "   0     171189  5013925         150         152   \n",
+       "   1     180581  1037764        3641        3643   \n",
+       "   2     153518  5036995        5215        5229   \n",
+       "   3     171278  1091109           4           4   \n",
+       "   4     173185  1036185         464         464   \n",
+       "   5     179347  1004141         682         682   \n",
+       "   6     131899  1039186        1112        1118   \n",
+       "   7     180463  1127332         249         251   \n",
+       "   8     174129  1036446         417         419   \n",
+       "   9     180259  1036585         200         212   \n",
+       "   10    173261  1036645         221         229   \n",
+       "   11    180958  1036690         394         402   \n",
+       "   12    179036  5198659         261         261   \n",
+       "   13    180739  1000420         423         425   \n",
+       "   14    173205  1036637         381         383   \n",
+       "   \n",
+       "                                     NOM_RUE  MUNICIPALI  CODE_UTILI  \\\n",
+       "   0           rue Notre-Dame Est  (MTE+MTL)          50        6000   \n",
+       "   1                   rue University  (MTL)          50        6000   \n",
+       "   2                        rue Berri  (MTL)          50        6000   \n",
+       "   3           rue Notre-Dame Est  (MTE+MTL)          50        6000   \n",
+       "   4                   rue Saint-Jean  (MTL)          50        6000   \n",
+       "   5                      rue William  (MTL)          50        6000   \n",
+       "   6   rue Sainte-Catherine Ouest  (MTL+WMT)          50        6000   \n",
+       "   7                rue Saint-Jacques  (MTL)          50        6000   \n",
+       "   8                 rue Saint-Pierre  (MTL)          50        6000   \n",
+       "   9         rue Notre-Dame Ouest  (MTL+MTO)          50        6000   \n",
+       "   10        rue Notre-Dame Ouest  (MTL+MTO)          50        6000   \n",
+       "   11               rue Saint-Jacques  (MTL)          50        6000   \n",
+       "   12               rue Saint-Jacques  (MTL)          50        6000   \n",
+       "   13               rue Saint-Nicolas  (MTL)          50        6000   \n",
+       "   14        rue Notre-Dame Ouest  (MTL+MTO)          50        6000   \n",
+       "   \n",
+       "               LIBELLE_UT   CATEGORIE_  Hieght_LiD  ...  \\\n",
+       "   0   Immeuble à bureaux     Régulier          18  ...   \n",
+       "   1   Immeuble à bureaux     Régulier          21  ...   \n",
+       "   2   Immeuble à bureaux     Régulier          13  ...   \n",
+       "   3   Immeuble à bureaux     Régulier          26  ...   \n",
+       "   4   Immeuble à bureaux     Régulier          27  ...   \n",
+       "   5   Immeuble à bureaux     Régulier          17  ...   \n",
+       "   6   Immeuble à bureaux     Régulier          29  ...   \n",
+       "   7   Immeuble à bureaux     Régulier          59  ...   \n",
+       "   8   Immeuble à bureaux     Régulier          26  ...   \n",
+       "   9   Immeuble à bureaux     Régulier          15  ...   \n",
+       "   10  Immeuble à bureaux     Régulier          21  ...   \n",
+       "   11  Immeuble à bureaux     Régulier          22  ...   \n",
+       "   12  Immeuble à bureaux  Condominium          45  ...   \n",
+       "   13  Immeuble à bureaux     Régulier          18  ...   \n",
+       "   14  Immeuble à bureaux     Régulier          46  ...   \n",
+       "   \n",
+       "                                                geometry  ANNEE_CONS  \\\n",
+       "   0   POLYGON ((-73.55402041530041 45.5075079120008,...        1944   \n",
+       "   1   POLYGON ((-73.57940822499347 45.50799617081709...        1900   \n",
+       "   2   POLYGON ((-73.59024777507547 45.52922572310216...        1926   \n",
+       "   3   POLYGON ((-73.5551509542991 45.506132511246825...        1929   \n",
+       "   4   POLYGON ((-73.55748368853993 45.50238735467434...        1929   \n",
+       "   5   POLYGON ((-73.55706066562604 45.4986296795682,...        1930   \n",
+       "   6   POLYGON ((-73.57283064251965 45.49946210316486...        1927   \n",
+       "   7   POLYGON ((-73.55896664631884 45.50336793807015...        1850   \n",
+       "   8   POLYGON ((-73.5566554971905 45.501486510539415...        1937   \n",
+       "   9   POLYGON ((-73.55721099363943 45.50343000673300...        1937   \n",
+       "   10  POLYGON ((-73.55769394189954 45.50368466507944...        1941   \n",
+       "   11  POLYGON ((-73.55984213125366 45.50179865822686...        1935   \n",
+       "   12  POLYGON ((-73.55939490012828 45.50343291882372...        1931   \n",
+       "   13  POLYGON ((-73.55598441201444 45.50246018038903...        1880   \n",
+       "   14  POLYGON ((-73.55908492954337 45.50181325913795...        1940   \n",
+       "   \n",
+       "       New_AspectRatio  New_SurfacetoVolumeRatio  \\\n",
+       "   0          1.974481                  0.055556   \n",
+       "   1          1.187856                  0.047619   \n",
+       "   2          1.571349                  0.076923   \n",
+       "   3          1.957898                  0.038462   \n",
+       "   4          1.369292                  0.037037   \n",
+       "   5          1.307152                  0.058824   \n",
+       "   6          1.583083                  0.034483   \n",
+       "   7          2.037388                  0.016949   \n",
+       "   8          1.189966                  0.038462   \n",
+       "   9          1.259817                  0.066667   \n",
+       "   10         1.423297                  0.047619   \n",
+       "   11         1.709359                  0.045455   \n",
+       "   12         1.979760                  0.022222   \n",
+       "   13         1.829212                  0.055556   \n",
+       "   14         1.641971                  0.021739   \n",
+       "   \n",
+       "                                    transformed_geometry  calculated_area  \\\n",
+       "   0   POLYGON ((612954.5492079295 5040347.462867049,...       475.771439   \n",
+       "   1   POLYGON ((610970.3949854275 5040366.309964756,...       252.328757   \n",
+       "   2   POLYGON ((610082.2471812151 5042709.925417005,...       839.522651   \n",
+       "   3   POLYGON ((612868.9852671612 5040193.070855119,...       334.319647   \n",
+       "   4   POLYGON ((612694.2306140236 5039773.720657389,...       192.794176   \n",
+       "   5   POLYGON ((612734.778856497 5039356.849648203, ...       778.203994   \n",
+       "   6   POLYGON ((611501.0539685347 5039427.314542905,...       510.094254   \n",
+       "   7   POLYGON ((612576.4225991982 5039880.580257561,...       301.437671   \n",
+       "   8   POLYGON ((612760.7301392559 5039674.802448093,...       578.953490   \n",
+       "   9   POLYGON ((612713.453365106 5039889.938428042, ...       671.985438   \n",
+       "   10  POLYGON ((612675.2165405386 5039917.552400114,...       507.375988   \n",
+       "   11  POLYGON ((612511.1545685771 5039705.011764754,...       660.861480   \n",
+       "   12  POLYGON ((612542.8371652256 5039887.199165843,...       303.448822   \n",
+       "   13  POLYGON ((612811.2132698734 5039783.916271964,...       440.553074   \n",
+       "   14  POLYGON ((612570.2810284112 5039707.694947277,...       218.366198   \n",
+       "   \n",
+       "       YearGroup  Building_Size  Building_Floors    lod  \n",
+       "   0   1800-1945  Medium office       4-9 floors  lod_2  \n",
+       "   1   1800-1945  Medium office       4-9 floors  lod_2  \n",
+       "   2   1800-1945  Medium office       4-9 floors  lod_2  \n",
+       "   3   1800-1945  Medium office       4-9 floors  lod_2  \n",
+       "   4   1800-1945  Medium office       4-9 floors  lod_2  \n",
+       "   5   1800-1945  Medium office       4-9 floors  lod_2  \n",
+       "   6   1800-1945  Medium office       4-9 floors  lod_2  \n",
+       "   7   1800-1945  Medium office       10+ floors  lod_2  \n",
+       "   8   1800-1945  Medium office       4-9 floors  lod_2  \n",
+       "   9   1800-1945  Medium office       4-9 floors  lod_2  \n",
+       "   10  1800-1945  Medium office       4-9 floors  lod_2  \n",
+       "   11  1800-1945  Medium office       4-9 floors  lod_2  \n",
+       "   12  1800-1945  Medium office       10+ floors  lod_2  \n",
+       "   13  1800-1945  Medium office       4-9 floors  lod_2  \n",
+       "   14  1800-1945  Medium office       10+ floors  lod_2  \n",
+       "   \n",
+       "   [15 rows x 32 columns],\n",
+       "   'Large Office':     OBJECTID   ID_UEV  CIVIQUE_DE  CIVIQUE_FI  \\\n",
+       "   0     177628  1002612        1494        1512   \n",
+       "   1     153212  5015411        4380        4408   \n",
+       "   2     141188  1090818         444         460   \n",
+       "   3     167400  1040706         502         510   \n",
+       "   4     175104  1041291         647         651   \n",
+       "   5     170953  1091270         511         511   \n",
+       "   6     182850  1004504         781         781   \n",
+       "   7     173555  1036692         388         390   \n",
+       "   8     173557  1036694         380         384   \n",
+       "   9     165298  5021399          60          60   \n",
+       "   10    173973  1002602        1430        1434   \n",
+       "   11    183276  1036801         265         265   \n",
+       "   12    181669  1004454        1600        1612   \n",
+       "   13    173771  1036898         481         481   \n",
+       "   14    178719  5029735           8          24   \n",
+       "   \n",
+       "                                     NOM_RUE  MUNICIPALI  CODE_UTILI  \\\n",
+       "   0   rue Sainte-Catherine Ouest  (MTL+WMT)          50        6000   \n",
+       "   1                  rue Saint-Denis  (MTL)          50        6000   \n",
+       "   2               rue Saint-Paul Est  (MTL)          50        6000   \n",
+       "   3     rue Sainte-Catherine Est  (MTE+MTL)          50        6000   \n",
+       "   4         rue Notre-Dame Ouest  (MTL+MTO)          50        6000   \n",
+       "   5                   place d' Armes  (MTL)          50        6000   \n",
+       "   6                      rue William  (MTL)          50        6000   \n",
+       "   7                rue Saint-Jacques  (MTL)          50        6000   \n",
+       "   8                rue Saint-Jacques  (MTL)          50        6000   \n",
+       "   9                rue Saint-Jacques  (MTL)          50        6000   \n",
+       "   10  rue Sainte-Catherine Ouest  (MTL+WMT)          50        6000   \n",
+       "   11               rue Saint-Jacques  (MTL)          50        6000   \n",
+       "   12        rue Notre-Dame Ouest  (MTL+MTO)          50        6000   \n",
+       "   13              avenue Viger Ouest  (MTL)          50        6000   \n",
+       "   14                       rue Queen  (MTL)          50        6000   \n",
+       "   \n",
+       "               LIBELLE_UT CATEGORIE_  Hieght_LiD  ...  \\\n",
+       "   0   Immeuble à bureaux   Régulier          25  ...   \n",
+       "   1   Immeuble à bureaux   Régulier          22  ...   \n",
+       "   2   Immeuble à bureaux   Régulier          15  ...   \n",
+       "   3   Immeuble à bureaux   Régulier          42  ...   \n",
+       "   4   Immeuble à bureaux   Régulier          61  ...   \n",
+       "   5   Immeuble à bureaux   Régulier          96  ...   \n",
+       "   6   Immeuble à bureaux   Régulier          63  ...   \n",
+       "   7   Immeuble à bureaux   Régulier          46  ...   \n",
+       "   8   Immeuble à bureaux   Régulier          46  ...   \n",
+       "   9   Immeuble à bureaux   Régulier          96  ...   \n",
+       "   10  Immeuble à bureaux   Régulier          55  ...   \n",
+       "   11  Immeuble à bureaux   Régulier          45  ...   \n",
+       "   12  Immeuble à bureaux   Régulier          27  ...   \n",
+       "   13  Immeuble à bureaux   Régulier          44  ...   \n",
+       "   14  Immeuble à bureaux   Régulier          13  ...   \n",
+       "   \n",
+       "                                                geometry  ANNEE_CONS  \\\n",
+       "   0   POLYGON ((-73.57705907436772 45.49482886595233...        1902   \n",
+       "   1   POLYGON ((-73.58190628356004 45.5231898400838,...        1938   \n",
+       "   2   POLYGON ((-73.55077675504417 45.51038985170665...        1945   \n",
+       "   3   POLYGON ((-73.5590548920778 45.51460244006421,...        1921   \n",
+       "   4   POLYGON ((-73.56030891641635 45.50012444642601...        1875   \n",
+       "   5   POLYGON ((-73.55707022423655 45.50510052139365...        1902   \n",
+       "   6   POLYGON ((-73.55841994960201 45.49778753037792...        1900   \n",
+       "   7   POLYGON ((-73.55968347817583 45.50201688396321...        1905   \n",
+       "   8   POLYGON ((-73.55961169902533 45.50211561626361...        1942   \n",
+       "   9   POLYGON ((-73.55699616050325 45.50557762444552...        1916   \n",
+       "   10  POLYGON ((-73.57656222289357 45.49611470785763...        1932   \n",
+       "   11  POLYGON ((-73.5592840871699 45.502927787338734...        1907   \n",
+       "   12  POLYGON ((-73.56721577899327 45.48951317724649...        1900   \n",
+       "   13  POLYGON ((-73.563286145723 45.502449262216835,...        1910   \n",
+       "   14  POLYGON ((-73.55363031890903 45.49692467770853...        1900   \n",
+       "   \n",
+       "       New_AspectRatio  New_SurfacetoVolumeRatio  \\\n",
+       "   0          1.377297                  0.040000   \n",
+       "   1          1.642354                  0.045455   \n",
+       "   2          1.271859                  0.066667   \n",
+       "   3          1.475707                  0.023810   \n",
+       "   4          1.524021                  0.016393   \n",
+       "   5          1.224984                  0.010417   \n",
+       "   6          1.580347                  0.015873   \n",
+       "   7          1.493249                  0.021739   \n",
+       "   8          1.759316                  0.021739   \n",
+       "   9          1.518268                  0.010417   \n",
+       "   10         1.579746                  0.018182   \n",
+       "   11         1.392811                  0.022222   \n",
+       "   12         1.263433                  0.037037   \n",
+       "   13         1.626839                  0.022727   \n",
+       "   14         1.159801                  0.076923   \n",
+       "   \n",
+       "                                    transformed_geometry  calculated_area  \\\n",
+       "   0   POLYGON ((611179.8178640363 5038906.71651055, ...      2343.267693   \n",
+       "   1   POLYGON ((610745.4460685211 5042050.829510493,...      1849.726176   \n",
+       "   2   POLYGON ((613202.1527039378 5040672.204470085,...      1645.294468   \n",
+       "   3   POLYGON ((612547.1321552158 5041128.572599515,...      1157.201173   \n",
+       "   4   POLYGON ((612478.0217376774 5039518.358780433,...       912.422179   \n",
+       "   5   POLYGON ((612721.1159348971 5040075.724517701,...       679.005015   \n",
+       "   6   POLYGON ((612630.2596012994 5039261.382767098,...       552.211137   \n",
+       "   7   POLYGON ((612523.1143678358 5039729.478169976,...       462.200249   \n",
+       "   8   POLYGON ((612528.525286498 5039740.54756147, 6...       427.105454   \n",
+       "   9   POLYGON ((612725.9493175605 5040128.8330182005...       281.395494   \n",
+       "   10  POLYGON ((611216.1070049348 5039050.256851876,...       773.717837   \n",
+       "   11  POLYGON ((612552.5007999112 5039831.236077087,...      1234.126531   \n",
+       "   12  POLYGON ((611959.4436335601 5038329.834786392,...      1015.116046   \n",
+       "   13  POLYGON ((612240.8016182551 5039772.472559635,...       743.187980   \n",
+       "   14  POLYGON ((613006.1971570818 5039172.25065602, ...      1752.696226   \n",
+       "   \n",
+       "       YearGroup  Building_Size  Building_Floors    lod  \n",
+       "   0   1800-1945   Large office       4-9 floors  lod_2  \n",
+       "   1   1800-1945   Large office       4-9 floors  lod_2  \n",
+       "   2   1800-1945   Large office       4-9 floors  lod_2  \n",
+       "   3   1800-1945   Large office       10+ floors  lod_2  \n",
+       "   4   1800-1945   Large office       10+ floors  lod_2  \n",
+       "   5   1800-1945   Large office       10+ floors  lod_2  \n",
+       "   6   1800-1945   Large office       10+ floors  lod_2  \n",
+       "   7   1800-1945   Large office       10+ floors  lod_2  \n",
+       "   8   1800-1945   Large office       10+ floors  lod_2  \n",
+       "   9   1800-1945   Large office       10+ floors  lod_2  \n",
+       "   10  1800-1945   Large office       10+ floors   lod1  \n",
+       "   11  1800-1945   Large office       10+ floors   lod1  \n",
+       "   12  1800-1945   Large office       4-9 floors   lod1  \n",
+       "   13  1800-1945   Large office       10+ floors   lod1  \n",
+       "   14  1800-1945   Large office       4-9 floors   lod1  \n",
+       "   \n",
+       "   [15 rows x 32 columns],\n",
+       "   'Mega Office':    OBJECTID   ID_UEV  CIVIQUE_DE  CIVIQUE_FI  \\\n",
+       "   0    167533  1040745         901         925   \n",
+       "   1    153331  1039129         450         474   \n",
+       "   2    178217  1037399        1408        1420   \n",
+       "   3    180902  1002471        1425        1425   \n",
+       "   4    181724  1004500        1613        1615   \n",
+       "   5    179465  1004526         643         649   \n",
+       "   6    160825  1091271         501         507   \n",
+       "   7    178419  5082065         405         435   \n",
+       "   \n",
+       "                                    NOM_RUE  MUNICIPALI  CODE_UTILI  \\\n",
+       "   0    rue Sainte-Catherine Est  (MTE+MTL)          50        6000   \n",
+       "   1  rue Sainte-Catherine Ouest  (MTL+WMT)          50        6000   \n",
+       "   2                    rue Drummond  (MTL)          50        6000   \n",
+       "   3   boulevard René-Lévesque Ouest  (MTL)          50        6000   \n",
+       "   4                     rue William  (MTL)          50        6000   \n",
+       "   5              rue Wellington  (MTL+VRD)          50        6000   \n",
+       "   6                  place d' Armes  (MTL)          50        6000   \n",
+       "   7         rue Saint-Antoine Ouest  (MTL)          50        6000   \n",
+       "   \n",
+       "              LIBELLE_UT CATEGORIE_  Hieght_LiD  ...  \\\n",
+       "   0  Immeuble à bureaux   Régulier          29  ...   \n",
+       "   1  Immeuble à bureaux   Régulier          40  ...   \n",
+       "   2  Immeuble à bureaux   Régulier          43  ...   \n",
+       "   3  Immeuble à bureaux   Régulier          49  ...   \n",
+       "   4  Immeuble à bureaux   Régulier          18  ...   \n",
+       "   5  Immeuble à bureaux   Régulier          36  ...   \n",
+       "   6  Immeuble à bureaux   Régulier          96  ...   \n",
+       "   7  Immeuble à bureaux   Régulier          66  ...   \n",
+       "   \n",
+       "                                               geometry  ANNEE_CONS  \\\n",
+       "   0  POLYGON ((-73.55778867186052 45.51686170704212...        1874   \n",
+       "   1  POLYGON ((-73.56754426973676 45.50477194355779...        1910   \n",
+       "   2  POLYGON ((-73.57567758424713 45.49875891061043...        1930   \n",
+       "   3  POLYGON ((-73.57396307106207 45.4952322423459,...        1930   \n",
+       "   4  POLYGON ((-73.56596211081964 45.48900082795404...        1902   \n",
+       "   5  POLYGON ((-73.55536406658655 45.49841519894821...        1870   \n",
+       "   6  POLYGON ((-73.55648236561974 45.50530474407565...        1933   \n",
+       "   7  POLYGON ((-73.56131406719499 45.50234534319547...        1941   \n",
+       "   \n",
+       "      New_AspectRatio  New_SurfacetoVolumeRatio  \\\n",
+       "   0         1.349271                  0.034483   \n",
+       "   1         1.378317                  0.025000   \n",
+       "   2         1.408958                  0.023256   \n",
+       "   3         1.282738                  0.020408   \n",
+       "   4         1.845334                  0.055556   \n",
+       "   5         1.539211                  0.027778   \n",
+       "   6         0.980082                  0.010417   \n",
+       "   7         1.452729                  0.015152   \n",
+       "   \n",
+       "                                   transformed_geometry  calculated_area  \\\n",
+       "   0  POLYGON ((612641.5233526557 5041381.345603242,...      2883.820827   \n",
+       "   1  POLYGON ((611903.5414530851 5040024.572296349,...      2537.666995   \n",
+       "   2  POLYGON ((611280.0159355493 5039345.243827703,...      1772.328410   \n",
+       "   3  POLYGON ((611420.9240205777 5038955.820311899,...      1568.971468   \n",
+       "   4  POLYGON ((612058.4225668226 5038274.662747455,...      6147.545485   \n",
+       "   5  POLYGON ((612867.7598512352 5039335.4044288965...      3455.225894   \n",
+       "   6  POLYGON ((612766.6312368936 5040099.238273864,...        52.323331   \n",
+       "   7  POLYGON ((612395.0731632904 5039763.685553243,...      1350.463814   \n",
+       "   \n",
+       "      YearGroup  Building_Size  Building_Floors    lod  \n",
+       "   0  1800-1945    Mega office       4-9 floors  lod_2  \n",
+       "   1  1800-1945    Mega office       10+ floors  lod_2  \n",
+       "   2  1800-1945    Mega office       10+ floors  lod_2  \n",
+       "   3  1800-1945    Mega office       10+ floors  lod_2  \n",
+       "   4  1800-1945    Mega office       4-9 floors   lod1  \n",
+       "   5  1800-1945    Mega office       4-9 floors   lod1  \n",
+       "   6  1800-1945    Mega office       10+ floors   lod1  \n",
+       "   7  1800-1945    Mega office       10+ floors   lod1  \n",
+       "   \n",
+       "   [8 rows x 32 columns]},\n",
+       "  '1946-1979': {'Single-Use Office':    OBJECTID   ID_UEV  CIVIQUE_DE  CIVIQUE_FI                        NOM_RUE  \\\n",
+       "   0    155108  1003051        2064        2064        rue Saint-Hubert  (MTL)   \n",
+       "   1     65082  2054093        8615        8615       rue Hochelaga  (MTE+MTL)   \n",
+       "   2     63432  5198683        5835        5835  rue Sherbrooke Est  (MTE+MTL)   \n",
+       "   3     58266  2054959        5915        5917       rue De Jumonville  (MTL)   \n",
+       "   4    179669  1007827         206         208          avenue Olivier  (WMT)   \n",
+       "   \n",
+       "      MUNICIPALI  CODE_UTILI              LIBELLE_UT   CATEGORIE_  Hieght_LiD  \\\n",
+       "   0          50        6000      Immeuble à bureaux     Régulier           6   \n",
+       "   1          50        6000      Immeuble à bureaux     Régulier           8   \n",
+       "   2          50        6000      Immeuble à bureaux  Condominium           9   \n",
+       "   3          50        6000      Immeuble à bureaux     Régulier           9   \n",
+       "   4          29        6591  Service d'architecture     Régulier           9   \n",
+       "   \n",
+       "      ...                                           geometry  ANNEE_CONS  \\\n",
+       "   0  ...  POLYGON ((-73.56557 45.51811, -73.56556 45.518...        1950   \n",
+       "   1  ...  POLYGON ((-73.52070 45.60038, -73.52062 45.600...        1970   \n",
+       "   2  ...  POLYGON ((-73.54810 45.57521, -73.54805 45.575...        1959   \n",
+       "   3  ...  POLYGON ((-73.55062 45.57705, -73.55057 45.577...        1961   \n",
+       "   4  ...  POLYGON ((-73.58895 45.48545, -73.58890 45.485...        1971   \n",
+       "   \n",
+       "      New_AspectRatio  New_SurfacetoVolumeRatio  \\\n",
+       "   0         1.203640                  0.166667   \n",
+       "   1         1.340599                  0.125000   \n",
+       "   2         1.852419                  0.111111   \n",
+       "   3         1.609411                  0.111111   \n",
+       "   4         1.605008                  0.111111   \n",
+       "   \n",
+       "                                   transformed_geometry  calculated_area  \\\n",
+       "   0  POLYGON ((612031.635 5041508.873, 612031.765 5...       160.523675   \n",
+       "   1  POLYGON ((615367.417 5050712.361, 615373.273 5...       211.429131   \n",
+       "   2  POLYGON ((613281.263 5047877.219, 613284.359 5...       140.972988   \n",
+       "   3  POLYGON ((613080.698 5048078.219, 613084.108 5...       107.547864   \n",
+       "   4  POLYGON ((610269.239 5037848.277, 610273.022 5...        91.285099   \n",
+       "   \n",
+       "      YearGroup      Building_Size  Building_Floors   lod  \n",
+       "   0  1946-1979  Single use office         2 floors  lod1  \n",
+       "   1  1946-1979  Single use office         2 floors  lod1  \n",
+       "   2  1946-1979  Single use office         3 floors  lod1  \n",
+       "   3  1946-1979  Single use office         3 floors  lod1  \n",
+       "   4  1946-1979  Single use office         3 floors  lod1  \n",
+       "   \n",
+       "   [5 rows x 32 columns],\n",
+       "   'Small Office':    OBJECTID   ID_UEV  CIVIQUE_DE  CIVIQUE_FI                          NOM_RUE  \\\n",
+       "   0    180352  1036307        2060        2062        rue de la Montagne  (MTL)   \n",
+       "   1    174299  1000428         455         455            rue Saint-Jean  (MTL)   \n",
+       "   2     66054  3045115        8989        8989            rue Lajeunesse  (MTL)   \n",
+       "   3     80779  3079645        6701        6701   boulevard Saint-Laurent  (MTL)   \n",
+       "   4    148785  3033676        1057        1061  avenue Laurier Ouest  (MTL+OUT)   \n",
+       "   5    171027  5294125        1760        1760              rue Atateken  (MTL)   \n",
+       "   6    219924  3062451        5375        5385              rue Paré  (MTL+MTR)   \n",
+       "   \n",
+       "      MUNICIPALI  CODE_UTILI          LIBELLE_UT   CATEGORIE_  Hieght_LiD  ...  \\\n",
+       "   0          50        6000  Immeuble à bureaux     Régulier          13  ...   \n",
+       "   1          50        6000  Immeuble à bureaux     Régulier          16  ...   \n",
+       "   2          50        6000  Immeuble à bureaux     Régulier           9  ...   \n",
+       "   3          50        6000  Immeuble à bureaux     Régulier          12  ...   \n",
+       "   4          50        6000  Immeuble à bureaux     Régulier          13  ...   \n",
+       "   5          50        6000  Immeuble à bureaux  Condominium          10  ...   \n",
+       "   6          13        6000  Immeuble à bureaux     Régulier          10  ...   \n",
+       "   \n",
+       "                                               geometry  ANNEE_CONS  \\\n",
+       "   0  POLYGON ((-73.57772242947102 45.49871373045328...        1962   \n",
+       "   1  POLYGON ((-73.55708585116322 45.50266375118594...        1955   \n",
+       "   2  POLYGON ((-73.6437733603709 45.548230999076196...        1958   \n",
+       "   3  POLYGON ((-73.61200382709745 45.53192882274409...        1948   \n",
+       "   4  POLYGON ((-73.59749528269448 45.51792999185412...        1947   \n",
+       "   5  POLYGON ((-73.56109076863625 45.51921664665188...        1967   \n",
+       "   6  POLYGON ((-73.65724659897657 45.49495183891361...        1959   \n",
+       "   \n",
+       "      New_AspectRatio  New_SurfacetoVolumeRatio  \\\n",
+       "   0         1.130988                  0.076923   \n",
+       "   1         1.364965                  0.062500   \n",
+       "   2         1.383937                  0.111111   \n",
+       "   3         1.089588                  0.083333   \n",
+       "   4         1.800556                  0.076923   \n",
+       "   5         1.166063                  0.100000   \n",
+       "   6         1.408692                  0.100000   \n",
+       "   \n",
+       "                                   transformed_geometry  calculated_area  \\\n",
+       "   0  POLYGON ((611120.3448824584 5039337.393310181,...       230.551862   \n",
+       "   1  POLYGON ((612724.7592018702 5039804.985698538,...       217.781650   \n",
+       "   2  POLYGON ((605866.971271348 5044749.353365614, ...       260.981376   \n",
+       "   3  POLYGON ((608378.2120296392 5042980.627689755,...       253.109276   \n",
+       "   4  POLYGON ((609538.2416689381 5041445.090495534,...       210.804208   \n",
+       "   5  POLYGON ((612378.9306766663 5041638.344719328,...       286.832075   \n",
+       "   6  POLYGON ((604914.2501226977 5038812.5123951025...       215.116896   \n",
+       "   \n",
+       "      YearGroup  Building_Size  Building_Floors    lod  \n",
+       "   0  1946-1979   Small office       4-9 floors  lod_2  \n",
+       "   1  1946-1979   Small office       4-9 floors   lod1  \n",
+       "   2  1946-1979   Small office         3 floors   lod1  \n",
+       "   3  1946-1979   Small office         3 floors   lod1  \n",
+       "   4  1946-1979   Small office       4-9 floors   lod1  \n",
+       "   5  1946-1979   Small office         3 floors   lod1  \n",
+       "   6  1946-1979   Small office         3 floors   lod1  \n",
+       "   \n",
+       "   [7 rows x 32 columns],\n",
+       "   'Medium Office':     OBJECTID   ID_UEV  CIVIQUE_DE  CIVIQUE_FI  \\\n",
+       "   0     196397  3007827        5450        5484   \n",
+       "   1     182315  1036618         358         362   \n",
+       "   2     179372  5013907         731         741   \n",
+       "   3     133041  1015596        4362        4362   \n",
+       "   4     180053  1000010         329         329   \n",
+       "   5     132301  1039140         680         680   \n",
+       "   6     156571  1091110          10          12   \n",
+       "   7     135891  1022397        1988        1990   \n",
+       "   8     174947  1036468         432         434   \n",
+       "   9     169185  1003402        1595        1595   \n",
+       "   10    258561  3034821        5275        5285   \n",
+       "   11     92325  3014342        1260        1290   \n",
+       "   12    167007  1031214        5420        5420   \n",
+       "   13    252961  4035774         831         839   \n",
+       "   14    155853  5100121        4135        4135   \n",
+       "   \n",
+       "                                       NOM_RUE  MUNICIPALI  CODE_UTILI  \\\n",
+       "   0   chemin de la Côte-des-Neiges  (MTL+WMT)          50        6000   \n",
+       "   1           rue Notre-Dame Ouest  (MTL+MTO)          50        6000   \n",
+       "   2            rue de la Commune Ouest  (MTL)          50        6000   \n",
+       "   3                    rue Saint-Denis  (MTL)          50        6000   \n",
+       "   4            rue de la Commune Ouest  (MTL)          50        6000   \n",
+       "   5     rue Sainte-Catherine Ouest  (MTL+WMT)          50        6000   \n",
+       "   6             rue Notre-Dame Est  (MTE+MTL)          50        6000   \n",
+       "   7       rue Sainte-Catherine Est  (MTE+MTL)          50        6000   \n",
+       "   8                   rue Saint-Pierre  (MTL)          50        6000   \n",
+       "   9                   rue Saint-Hubert  (MTL)          50        6000   \n",
+       "   10         chemin Queen-Mary  (CSL+HMS+MTL)          50        6000   \n",
+       "   11        rue Jean-Talon Est  (ANJ+MTL+SLN)          50        6000   \n",
+       "   12           boulevard Saint-Laurent  (MTL)          50        6000   \n",
+       "   13                 boulevard Décarie  (SLR)          50        6000   \n",
+       "   14                      rue de Rouen  (MTL)          50        6000   \n",
+       "   \n",
+       "               LIBELLE_UT CATEGORIE_  Hieght_LiD  ...  \\\n",
+       "   0   Immeuble à bureaux   Régulier           9  ...   \n",
+       "   1   Immeuble à bureaux   Régulier          23  ...   \n",
+       "   2   Immeuble à bureaux   Régulier          13  ...   \n",
+       "   3   Immeuble à bureaux   Régulier          22  ...   \n",
+       "   4   Immeuble à bureaux   Régulier          22  ...   \n",
+       "   5   Immeuble à bureaux   Régulier          30  ...   \n",
+       "   6   Immeuble à bureaux   Régulier          26  ...   \n",
+       "   7   Immeuble à bureaux   Régulier          14  ...   \n",
+       "   8   Immeuble à bureaux   Régulier          18  ...   \n",
+       "   9   Immeuble à bureaux   Régulier          12  ...   \n",
+       "   10  Immeuble à bureaux   Régulier          13  ...   \n",
+       "   11  Immeuble à bureaux   Régulier          11  ...   \n",
+       "   12  Immeuble à bureaux   Régulier          13  ...   \n",
+       "   13  Immeuble à bureaux   Régulier          11  ...   \n",
+       "   14  Immeuble à bureaux   Régulier           9  ...   \n",
+       "   \n",
+       "                                                geometry  ANNEE_CONS  \\\n",
+       "   0   POLYGON ((-73.62416929999824 45.49668884200064...        1966   \n",
+       "   1   POLYGON ((-73.55823632133955 45.50183062639442...        1968   \n",
+       "   2   POLYGON ((-73.55349413478628 45.49652739736999...        1957   \n",
+       "   3   POLYGON ((-73.5813484962389 45.52278649934604,...        1956   \n",
+       "   4   POLYGON ((-73.55362741556624 45.50027401681478...        1975   \n",
+       "   5   POLYGON ((-73.56970521888228 45.50269725117150...        1962   \n",
+       "   6   POLYGON ((-73.55533416623389 45.50645644518953...        1947   \n",
+       "   7   POLYGON ((-73.5505578242339 45.52390840437326,...        1947   \n",
+       "   8   POLYGON ((-73.55766685091801 45.50145956703315...        1955   \n",
+       "   9   POLYGON ((-73.5611190040897 45.516586762109114...        1962   \n",
+       "   10  POLYGON ((-73.62910553061838 45.48405016526578...        1961   \n",
+       "   11  POLYGON ((-73.61009876624979 45.54385947398445...        1946   \n",
+       "   12  POLYGON ((-73.59779241481978 45.52496975626222...        1959   \n",
+       "   13  POLYGON ((-73.67903121856045 45.51212278129125...        1963   \n",
+       "   14  POLYGON ((-73.54485496611623 45.55210215278647...        1950   \n",
+       "   \n",
+       "       New_AspectRatio  New_SurfacetoVolumeRatio  \\\n",
+       "   0          1.544689                  0.111111   \n",
+       "   1          1.701513                  0.043478   \n",
+       "   2          1.265868                  0.076923   \n",
+       "   3          1.245451                  0.045455   \n",
+       "   4          1.354894                  0.045455   \n",
+       "   5          1.575819                  0.033333   \n",
+       "   6          1.744400                  0.038462   \n",
+       "   7          1.685396                  0.071429   \n",
+       "   8          0.954444                  0.055556   \n",
+       "   9          1.204444                  0.083333   \n",
+       "   10         1.649274                  0.076923   \n",
+       "   11         1.258602                  0.090909   \n",
+       "   12         1.536223                  0.076923   \n",
+       "   13         1.252588                  0.090909   \n",
+       "   14         1.829059                  0.111111   \n",
+       "   \n",
+       "                                    transformed_geometry  calculated_area  \\\n",
+       "   0   POLYGON ((607495.3875883053 5039049.223806332,...      1009.506719   \n",
+       "   1   POLYGON ((612636.5429695447 5039710.81421281, ...       634.625552   \n",
+       "   2   POLYGON ((613017.6321990186 5039128.305832637,...       604.632210   \n",
+       "   3   POLYGON ((610789.7979164944 5042006.789167323,...       481.137946   \n",
+       "   4   POLYGON ((612999.7229698835 5039544.354594685,...       432.343693   \n",
+       "   5   POLYGON ((611738.8335686728 5039791.072130493,...       419.785780   \n",
+       "   6   POLYGON ((612854.0257163162 5040228.801340614,...       406.981359   \n",
+       "   7   POLYGON ((613192.1411164049 5042174.381578456,...       387.035801   \n",
+       "   8   POLYGON ((612681.7725474052 5039670.389634775,...       354.984591   \n",
+       "   9   POLYGON ((612381.961591858 5041346.133284066, ...       324.036672   \n",
+       "   10  POLYGON ((607133.6775837361 5037638.517724809,...       303.512626   \n",
+       "   11  POLYGON ((608504.0104915379 5044308.664322376,...      1409.893350   \n",
+       "   12  POLYGON ((609501.3755434565 5042226.781552365,...       671.785438   \n",
+       "   13  POLYGON ((603180.7657082329 5040691.923987392,...       383.206350   \n",
+       "   14  POLYGON ((613580.7079181686 5045314.685074281,...       333.152569   \n",
+       "   \n",
+       "       YearGroup  Building_Size  Building_Floors    lod  \n",
+       "   0   1946-1979  Medium office         3 floors  lod_2  \n",
+       "   1   1946-1979  Medium office       4-9 floors  lod_2  \n",
+       "   2   1946-1979  Medium office       4-9 floors  lod_2  \n",
+       "   3   1946-1979  Medium office       4-9 floors  lod_2  \n",
+       "   4   1946-1979  Medium office       4-9 floors  lod_2  \n",
+       "   5   1946-1979  Medium office       4-9 floors  lod_2  \n",
+       "   6   1946-1979  Medium office       4-9 floors  lod_2  \n",
+       "   7   1946-1979  Medium office       4-9 floors  lod_2  \n",
+       "   8   1946-1979  Medium office       4-9 floors  lod_2  \n",
+       "   9   1946-1979  Medium office         3 floors  lod_2  \n",
+       "   10  1946-1979  Medium office       4-9 floors  lod_2  \n",
+       "   11  1946-1979  Medium office         3 floors   lod1  \n",
+       "   12  1946-1979  Medium office       4-9 floors   lod1  \n",
+       "   13  1946-1979  Medium office         3 floors   lod1  \n",
+       "   14  1946-1979  Medium office         3 floors   lod1  \n",
+       "   \n",
+       "   [15 rows x 32 columns],\n",
+       "   'Large Office':     OBJECTID   ID_UEV  CIVIQUE_DE  CIVIQUE_FI  \\\n",
+       "   0     134300  1058994         351         359   \n",
+       "   1     178796  5033673        2100        2100   \n",
+       "   2     173236  1037655        2005        2015   \n",
+       "   3     131148  1039395         501         503   \n",
+       "   4     177362  1127442         240         240   \n",
+       "   5     263402  4134477         768         790   \n",
+       "   6     181556  1006259        4150        4150   \n",
+       "   7     175942  1039049        1210        1214   \n",
+       "   8     133208  1040727        1250        1260   \n",
+       "   9     133750  1039158        1200        1230   \n",
+       "   10    166551  1000015        1425        1435   \n",
+       "   11    176795  1011518         310         310   \n",
+       "   \n",
+       "                                     NOM_RUE  MUNICIPALI  CODE_UTILI  \\\n",
+       "   0   rue Sainte-Catherine Ouest  (MTL+WMT)          50        6000   \n",
+       "   1                     rue Drummond  (MTL)          50        6000   \n",
+       "   2                         rue Peel  (MTL)          50        6000   \n",
+       "   3    boulevard René-Lévesque Ouest  (MTL)          50        6000   \n",
+       "   4                rue Saint-Jacques  (MTL)          50        6000   \n",
+       "   5                boulevard Décarie  (SLR)          50        6000   \n",
+       "   6   rue Sainte-Catherine Ouest  (MTL+WMT)          29        6000   \n",
+       "   7     rue Sherbrooke Ouest  (MTL+MTO+WMT)          50        6000   \n",
+       "   8     rue Sainte-Catherine Est  (MTE+MTL)          50        6000   \n",
+       "   9            avenue McGill College  (MTL)          50        6000   \n",
+       "   10             rue Saint-Alexandre  (MTL)          50        6000   \n",
+       "   11             avenue Victoria  (MTL+WMT)          29        6000   \n",
+       "   \n",
+       "               LIBELLE_UT CATEGORIE_  Hieght_LiD  ...  \\\n",
+       "   0   Immeuble à bureaux   Régulier          14  ...   \n",
+       "   1   Immeuble à bureaux   Régulier          29  ...   \n",
+       "   2   Immeuble à bureaux   Régulier          55  ...   \n",
+       "   3   Immeuble à bureaux   Régulier          51  ...   \n",
+       "   4   Immeuble à bureaux   Régulier          45  ...   \n",
+       "   5   Immeuble à bureaux   Régulier          10  ...   \n",
+       "   6   Immeuble à bureaux   Régulier          12  ...   \n",
+       "   7   Immeuble à bureaux   Régulier          44  ...   \n",
+       "   8   Immeuble à bureaux   Régulier          13  ...   \n",
+       "   9   Immeuble à bureaux   Régulier          21  ...   \n",
+       "   10  Immeuble à bureaux   Régulier          16  ...   \n",
+       "   11  Immeuble à bureaux   Régulier          21  ...   \n",
+       "   \n",
+       "                                                geometry  ANNEE_CONS  \\\n",
+       "   0   POLYGON ((-73.56764249591077 45.50642221690234...        1970   \n",
+       "   1   POLYGON ((-73.57725286656793 45.49954661058192...        1951   \n",
+       "   2   POLYGON ((-73.57473629142787 45.50104268216124...        1964   \n",
+       "   3   POLYGON ((-73.5661024687702 45.503844043773846...        1960   \n",
+       "   4   POLYGON ((-73.55854259801933 45.50359266254847...        1946   \n",
+       "   5   POLYGON ((-73.67782914353286 45.51069358005936...        1951   \n",
+       "   6   POLYGON ((-73.58726652794549 45.48611536409338...        1979   \n",
+       "   7   POLYGON ((-73.57777170544449 45.50042774087507...        1959   \n",
+       "   8   POLYGON ((-73.55521266691635 45.51859984686707...        1973   \n",
+       "   9   POLYGON ((-73.57143881168398 45.50137500310879...        1976   \n",
+       "   10  POLYGON ((-73.56849360223218 45.50581437618835...        1948   \n",
+       "   11  POLYGON ((-73.60078217859294 45.47732753841303...        1958   \n",
+       "   \n",
+       "       New_AspectRatio  New_SurfacetoVolumeRatio  \\\n",
+       "   0          1.229654                  0.071429   \n",
+       "   1          1.508794                  0.034483   \n",
+       "   2          1.348732                  0.018182   \n",
+       "   3          1.286026                  0.019608   \n",
+       "   4          1.355217                  0.022222   \n",
+       "   5          1.598013                  0.100000   \n",
+       "   6          1.133094                  0.083333   \n",
+       "   7          1.659942                  0.022727   \n",
+       "   8          1.494803                  0.076923   \n",
+       "   9          1.469315                  0.047619   \n",
+       "   10         1.256432                  0.062500   \n",
+       "   11         1.669653                  0.047619   \n",
+       "   \n",
+       "                                    transformed_geometry  calculated_area  \\\n",
+       "   0   POLYGON ((611892.5979491278 5040207.775251897,...      2136.076340   \n",
+       "   1   POLYGON ((611155.3918549191 5039430.573167534,...      1249.299228   \n",
+       "   2   POLYGON ((611349.0548496164 5039600.267567413,...       803.445355   \n",
+       "   3   POLYGON ((612018.0152783502 5039923.495846062,...       676.158387   \n",
+       "   4   POLYGON ((612609.1018761586 5039906.140895168,...       516.774461   \n",
+       "   5   POLYGON ((603277.2737734913 5040534.6895629605...      1993.926133   \n",
+       "   6   POLYGON ((610399.298139724 5037924.599677765, ...      2656.811671   \n",
+       "   7   POLYGON ((611113.1230271328 5039527.7457586415...       648.206635   \n",
+       "   8   POLYGON ((612839.2424015072 5041578.0646339115...      1228.201126   \n",
+       "   9   POLYGON ((611606.0136429464 5039641.7643438345...      2347.243475   \n",
+       "   10  POLYGON ((611827.3153916927 5040139.060654252,...      1995.560402   \n",
+       "   11  POLYGON ((609360.1124344444 5036929.820247848,...       799.999602   \n",
+       "   \n",
+       "       YearGroup  Building_Size  Building_Floors    lod  \n",
+       "   0   1946-1979   Large office       4-9 floors  lod_2  \n",
+       "   1   1946-1979   Large office       4-9 floors  lod_2  \n",
+       "   2   1946-1979   Large office       10+ floors  lod_2  \n",
+       "   3   1946-1979   Large office       10+ floors  lod_2  \n",
+       "   4   1946-1979   Large office       10+ floors  lod_2  \n",
+       "   5   1946-1979   Large office         3 floors   lod1  \n",
+       "   6   1946-1979   Large office         3 floors   lod1  \n",
+       "   7   1946-1979   Large office       10+ floors   lod1  \n",
+       "   8   1946-1979   Large office       4-9 floors   lod1  \n",
+       "   9   1946-1979   Large office       4-9 floors   lod1  \n",
+       "   10  1946-1979   Large office       4-9 floors   lod1  \n",
+       "   11  1946-1979   Large office       4-9 floors   lod1  \n",
+       "   \n",
+       "   [12 rows x 32 columns],\n",
+       "   'Mega Office':    OBJECTID   ID_UEV  CIVIQUE_DE  CIVIQUE_FI                         NOM_RUE  \\\n",
+       "   0    132719  1041832        4200        4226  boulevard Saint-Laurent  (MTL)   \n",
+       "   1    173948  1041446         610         612        rue Saint-Jacques  (MTL)   \n",
+       "   2     95985  3059253         250         250          rue Sauvé Ouest  (MTL)   \n",
+       "   \n",
+       "      MUNICIPALI  CODE_UTILI          LIBELLE_UT CATEGORIE_  Hieght_LiD  ...  \\\n",
+       "   0          50        6000  Immeuble à bureaux   Régulier          56  ...   \n",
+       "   1          50        6000  Immeuble à bureaux   Régulier         106  ...   \n",
+       "   2          50        6000  Immeuble à bureaux   Régulier          29  ...   \n",
+       "   \n",
+       "                                               geometry  ANNEE_CONS  \\\n",
+       "   0  POLYGON ((-73.58225977509895 45.51759534546645...        1980   \n",
+       "   1  POLYGON ((-73.56009314286575 45.50043337568126...        1961   \n",
+       "   2  POLYGON ((-73.66167650348206 45.54301664696576...        1965   \n",
+       "   \n",
+       "      New_AspectRatio  New_SurfacetoVolumeRatio  \\\n",
+       "   0         1.317032                  0.017857   \n",
+       "   1         1.085391                  0.009434   \n",
+       "   2         1.882063                  0.034483   \n",
+       "   \n",
+       "                                   transformed_geometry  calculated_area  \\\n",
+       "   0  POLYGON ((610728.8157752677 5041428.810812357,...      2549.416263   \n",
+       "   1  POLYGON ((612494.2639836128 5039552.981960907,...      2260.801875   \n",
+       "   2  POLYGON ((604479.1180999003 5044146.589804348,...      5597.130505   \n",
+       "   \n",
+       "      YearGroup  Building_Size  Building_Floors    lod  \n",
+       "   0  1946-1979    Mega office       10+ floors  lod_2  \n",
+       "   1  1946-1979    Mega office       10+ floors  lod_2  \n",
+       "   2  1946-1979    Mega office       4-9 floors   lod1  \n",
+       "   \n",
+       "   [3 rows x 32 columns]},\n",
+       "  '1980-2010': {'Single-Use Office': Empty DataFrame\n",
+       "   Columns: [OBJECTID, ID_UEV, CIVIQUE_DE, CIVIQUE_FI, NOM_RUE, MUNICIPALI, CODE_UTILI, LIBELLE_UT, CATEGORIE_, Hieght_LiD, AREA_NEW, MBG_Width, MBG_Length, MBG_Orientation, Shape_Length, Shape_Area, BuildingCategory, BuildingVolume, FloorNu_RawTax, FloorNu_RawTax.1, Floor_frmHieght, TotalFloorArea, geometry, ANNEE_CONS, New_AspectRatio, New_SurfacetoVolumeRatio, transformed_geometry, calculated_area, YearGroup, Building_Size, Building_Floors, lod]\n",
+       "   Index: []\n",
+       "   \n",
+       "   [0 rows x 32 columns],\n",
+       "   'Small Office':    OBJECTID   ID_UEV  CIVIQUE_DE  CIVIQUE_FI                        NOM_RUE  \\\n",
+       "   0    165894  1027819         531         531  rue Sherbrooke Est  (MTE+MTL)   \n",
+       "   1    173454  1036919        2040        2042              rue Mackay  (MTL)   \n",
+       "   2    173535  1036802        2160        2160              rue Bishop  (MTL)   \n",
+       "   \n",
+       "      MUNICIPALI  CODE_UTILI          LIBELLE_UT   CATEGORIE_  Hieght_LiD  ...  \\\n",
+       "   0          50        6000  Immeuble à bureaux  Condominium          15  ...   \n",
+       "   1          50        6000  Immeuble à bureaux     Régulier          10  ...   \n",
+       "   2          50        6000  Immeuble à bureaux     Régulier          16  ...   \n",
+       "   \n",
+       "                                               geometry  ANNEE_CONS  \\\n",
+       "   0  POLYGON ((-73.56690552189909 45.51875134943501...        1983   \n",
+       "   1  POLYGON ((-73.57940367331713 45.49659434213349...        1985   \n",
+       "   2  POLYGON ((-73.57959284964859 45.49769204010661...        1985   \n",
+       "   \n",
+       "      New_AspectRatio  New_SurfacetoVolumeRatio  \\\n",
+       "   0         1.675094                  0.066667   \n",
+       "   1         1.065350                  0.100000   \n",
+       "   2         1.024071                  0.062500   \n",
+       "   \n",
+       "                                   transformed_geometry  calculated_area  \\\n",
+       "   0  POLYGON ((611925.7222437471 5041578.529139683,...       177.280279   \n",
+       "   1  POLYGON ((610993.156930641 5039099.611986344, ...       175.647062   \n",
+       "   2  POLYGON ((610976.2197005616 5039221.300976346,...       180.760895   \n",
+       "   \n",
+       "      YearGroup  Building_Size  Building_Floors    lod  \n",
+       "   0  1980-2010   Small office       4-9 floors  lod_2  \n",
+       "   1  1980-2010   Small office         3 floors  lod_2  \n",
+       "   2  1980-2010   Small office       4-9 floors   lod1  \n",
+       "   \n",
+       "   [3 rows x 32 columns],\n",
+       "   'Medium Office':     OBJECTID   ID_UEV  CIVIQUE_DE  CIVIQUE_FI  \\\n",
+       "   0     217753  1108482        4100        4130   \n",
+       "   1     156101  1040551         418         418   \n",
+       "   2     181321  1102459         420         422   \n",
+       "   3     181799  1119769         417         417   \n",
+       "   4     139513  1097647        1595        1595   \n",
+       "   5     151920  1115376          40          52   \n",
+       "   6     135876  1041836        4264        4276   \n",
+       "   7      89195  3017755       10136       10140   \n",
+       "   8     181224  1008451        4267        4271   \n",
+       "   9     106539  5027427        4450        4450   \n",
+       "   10    161969  2065112        3890        3910   \n",
+       "   \n",
+       "                                     NOM_RUE  MUNICIPALI  CODE_UTILI  \\\n",
+       "   0               rue Wellington  (MTL+VRD)          50        6000   \n",
+       "   1           rue Sherbrooke Est  (MTE+MTL)          50        6000   \n",
+       "   2         rue Notre-Dame Ouest  (MTL+MTO)          50        6000   \n",
+       "   3                rue Saint-Nicolas  (MTL)          50        6000   \n",
+       "   4              rue Ontario Est  (MTE+MTL)          50        6000   \n",
+       "   5           rue Notre-Dame Est  (MTE+MTL)          50        6000   \n",
+       "   6          boulevard Saint-Laurent  (MTL)          50        6000   \n",
+       "   7                   rue Lajeunesse  (MTL)          50        6000   \n",
+       "   8   rue Sainte-Catherine Ouest  (MTL+WMT)          29        6000   \n",
+       "   9             rue Bélanger  (ANJ+MTL+SLN)          50        6000   \n",
+       "   10    rue Sainte-Catherine Est  (MTE+MTL)          50        6000   \n",
+       "   \n",
+       "               LIBELLE_UT   CATEGORIE_  Hieght_LiD  ...  \\\n",
+       "   0   Immeuble à bureaux     Régulier          12  ...   \n",
+       "   1   Immeuble à bureaux     Régulier          17  ...   \n",
+       "   2   Immeuble à bureaux     Régulier          22  ...   \n",
+       "   3   Immeuble à bureaux  Condominium          18  ...   \n",
+       "   4   Immeuble à bureaux     Régulier          12  ...   \n",
+       "   5   Immeuble à bureaux  Condominium          21  ...   \n",
+       "   6   Immeuble à bureaux     Régulier          19  ...   \n",
+       "   7   Immeuble à bureaux     Régulier          17  ...   \n",
+       "   8   Immeuble à bureaux     Régulier          17  ...   \n",
+       "   9   Immeuble à bureaux     Régulier          10  ...   \n",
+       "   10  Immeuble à bureaux     Régulier           8  ...   \n",
+       "   \n",
+       "                                                geometry  ANNEE_CONS  \\\n",
+       "   0   POLYGON ((-73.56652408427409 45.46232674844135...        1990   \n",
+       "   1   POLYGON ((-73.56681525867167 45.5169782541815,...        1989   \n",
+       "   2   POLYGON ((-73.55930651186536 45.50124111113848...        1987   \n",
+       "   3   POLYGON ((-73.55598441201444 45.50246018038903...        1986   \n",
+       "   4   POLYGON ((-73.5601720305647 45.52489918594007,...        1992   \n",
+       "   5   POLYGON ((-73.5549761638413 45.50692086395563,...        1990   \n",
+       "   6   POLYGON ((-73.5831232831353 45.518341491072256...        1984   \n",
+       "   7   POLYGON ((-73.65994460430944 45.55245814872762...        1988   \n",
+       "   8   POLYGON ((-73.58904498564245 45.48494159932297...        1988   \n",
+       "   9   POLYGON ((-73.58356177957604 45.5686586537084,...        1990   \n",
+       "   10  POLYGON ((-73.53608066202919 45.54647995176373...        1988   \n",
+       "   \n",
+       "       New_AspectRatio  New_SurfacetoVolumeRatio  \\\n",
+       "   0          1.097019                  0.083333   \n",
+       "   1          1.704518                  0.058824   \n",
+       "   2          1.288790                  0.045455   \n",
+       "   3          1.074411                  0.055556   \n",
+       "   4          1.614707                  0.083333   \n",
+       "   5          1.362587                  0.047619   \n",
+       "   6          1.650378                  0.052632   \n",
+       "   7          1.128166                  0.058824   \n",
+       "   8          1.434007                  0.058824   \n",
+       "   9          0.753712                  0.100000   \n",
+       "   10         1.245644                  0.125000   \n",
+       "   \n",
+       "                                    transformed_geometry  calculated_area  \\\n",
+       "   0   POLYGON ((612067.3788564551 5035310.49300064, ...      1211.595558   \n",
+       "   1   POLYGON ((611936.288091237 5041381.669653372, ...       467.468563   \n",
+       "   2   POLYGON ((612554.1104127207 5039643.820711113,...       656.320062   \n",
+       "   3   POLYGON ((612811.2132698734 5039783.916271964,...       268.704042   \n",
+       "   4   POLYGON ((612439.3617483745 5042270.9437940065...       335.029299   \n",
+       "   5   POLYGON ((612881.0635302833 5040280.899880205,...       500.591395   \n",
+       "   6   POLYGON ((610659.9111641322 5041510.5147511, 6...       737.127073   \n",
+       "   7   POLYGON ((604596.8066302383 5045197.772999844,...       422.868001   \n",
+       "   8   POLYGON ((610262.6097438001 5037791.756241697,...       920.049192   \n",
+       "   9   POLYGON ((610527.0022174361 5047100.013784084,...       361.031719   \n",
+       "   10  POLYGON ((614276.9745785624 5044702.530406244,...      1437.802164   \n",
+       "   \n",
+       "       YearGroup  Building_Size  Building_Floors    lod  \n",
+       "   0   1980-2010  Medium office         3 floors  lod_2  \n",
+       "   1   1980-2010  Medium office       4-9 floors  lod_2  \n",
+       "   2   1980-2010  Medium office       4-9 floors   lod1  \n",
+       "   3   1980-2010  Medium office       4-9 floors   lod1  \n",
+       "   4   1980-2010  Medium office         3 floors   lod1  \n",
+       "   5   1980-2010  Medium office       4-9 floors   lod1  \n",
+       "   6   1980-2010  Medium office       4-9 floors   lod1  \n",
+       "   7   1980-2010  Medium office       4-9 floors   lod1  \n",
+       "   8   1980-2010  Medium office       4-9 floors   lod1  \n",
+       "   9   1980-2010  Medium office         3 floors   lod1  \n",
+       "   10  1980-2010  Medium office         2 floors   lod1  \n",
+       "   \n",
+       "   [11 rows x 32 columns],\n",
+       "   'Large Office':    OBJECTID   ID_UEV  CIVIQUE_DE  CIVIQUE_FI  \\\n",
+       "   0    135336  1058690         980        1006   \n",
+       "   1    163300  1119752         480         480   \n",
+       "   2     31328  2168601        7151        7151   \n",
+       "   3    225400  3005118        8250        8250   \n",
+       "   4    324514  4154832        1868        1868   \n",
+       "   5    139054  1091424         445         465   \n",
+       "   6     69236  5099485         575         577   \n",
+       "   7    180695  5003926         465         465   \n",
+       "   \n",
+       "                                              NOM_RUE  MUNICIPALI  CODE_UTILI  \\\n",
+       "   0                   boulevard Saint-Laurent  (MTL)          50        6000   \n",
+       "   1                   boulevard Saint-Laurent  (MTL)          50        6000   \n",
+       "   2                rue Jean-Talon Est  (ANJ+MTL+SLN)          50        6000   \n",
+       "   3                 boulevard Décarie  (CSL+MTL+MTR)          50        6000   \n",
+       "   4     boulevard des Sources  (DDO+DVL+PCL+PFD+ROX)          20        6000   \n",
+       "   5                   boulevard Saint-Laurent  (MTL)          50        6000   \n",
+       "   6  boulevard Henri-Bourassa Est  (ANJ+MTE+MTL+MTN)          50        6000   \n",
+       "   7                                rue McGill  (MTL)          50        6000   \n",
+       "   \n",
+       "              LIBELLE_UT   CATEGORIE_  Hieght_LiD  ...  \\\n",
+       "   0  Immeuble à bureaux     Régulier          26  ...   \n",
+       "   1  Immeuble à bureaux     Régulier          18  ...   \n",
+       "   2  Immeuble à bureaux  Condominium          42  ...   \n",
+       "   3  Immeuble à bureaux     Régulier          23  ...   \n",
+       "   4  Immeuble à bureaux     Régulier          19  ...   \n",
+       "   5  Immeuble à bureaux     Régulier          26  ...   \n",
+       "   6  Immeuble à bureaux     Régulier          20  ...   \n",
+       "   7  Immeuble à bureaux     Régulier          39  ...   \n",
+       "   \n",
+       "                                               geometry  ANNEE_CONS  \\\n",
+       "   0  POLYGON ((-73.55975652009926 45.50770563820539...        2010   \n",
+       "   1  POLYGON ((-73.55559126619532 45.50598224543309...        1992   \n",
+       "   2  POLYGON ((-73.57104512821104 45.59817241236263...        1991   \n",
+       "   3  POLYGON ((-73.66177060173911 45.49896923971456...        1989   \n",
+       "   4  POLYGON ((-73.78741854040295 45.46564932877588...        1990   \n",
+       "   5  POLYGON ((-73.55452006589503 45.50591744485759...        1984   \n",
+       "   6  POLYGON ((-73.66862780679466 45.55546674863133...        1983   \n",
+       "   7  POLYGON ((-73.55869384457155 45.50112855122895...        1995   \n",
+       "   \n",
+       "      New_AspectRatio  New_SurfacetoVolumeRatio  \\\n",
+       "   0         1.507751                  0.038462   \n",
+       "   1         1.958720                  0.055556   \n",
+       "   2         1.207020                  0.023810   \n",
+       "   3         1.362281                  0.043478   \n",
+       "   4         1.235488                  0.052632   \n",
+       "   5         1.774313                  0.038462   \n",
+       "   6         1.393539                  0.050000   \n",
+       "   7         1.572365                  0.025641   \n",
+       "   \n",
+       "                                   transformed_geometry  calculated_area  \\\n",
+       "   0  POLYGON ((612506.0735914402 5040361.377202125,...      1515.336460   \n",
+       "   1  POLYGON ((612834.8892866705 5040175.758064448,...      1089.950412   \n",
+       "   2  POLYGON ((611445.2709139308 5050396.257017491,...       184.710495   \n",
+       "   3  POLYGON ((604553.3379816354 5039252.932678742,...      1486.101372   \n",
+       "   4  POLYGON ((594792.5947221312 5035395.330427429,...       993.288608   \n",
+       "   5  POLYGON ((612918.6990278347 5040170.064609636,...      1227.888059   \n",
+       "   6  POLYGON ((603913.5034790827 5045520.7395101385...      2122.266177   \n",
+       "   7  POLYGON ((612602.1992734823 5039632.174504324,...      1193.459218   \n",
+       "   \n",
+       "      YearGroup  Building_Size  Building_Floors    lod  \n",
+       "   0  1980-2010   Large office       4-9 floors  lod_2  \n",
+       "   1  1980-2010   Large office       4-9 floors  lod_2  \n",
+       "   2  1980-2010   Large office       10+ floors   lod1  \n",
+       "   3  1980-2010   Large office       4-9 floors   lod1  \n",
+       "   4  1980-2010   Large office       4-9 floors   lod1  \n",
+       "   5  1980-2010   Large office       4-9 floors   lod1  \n",
+       "   6  1980-2010   Large office       4-9 floors   lod1  \n",
+       "   7  1980-2010   Large office       10+ floors   lod1  \n",
+       "   \n",
+       "   [8 rows x 32 columns],\n",
+       "   'Mega Office':    OBJECTID   ID_UEV  CIVIQUE_DE  CIVIQUE_FI  \\\n",
+       "   0    181864  1119420         747         747   \n",
+       "   1    180067  1127496         999         999   \n",
+       "   2    101990  5078789         555         561   \n",
+       "   3    179055  5102636        1000        1000   \n",
+       "   4     35396  5027565        7101        7101   \n",
+       "   5    139118  1116323        1501        1501   \n",
+       "   6    138996  5076687        1350        1350   \n",
+       "   7     31329  2168602        7100        7100   \n",
+       "   8    273422  5249521       16711       16711   \n",
+       "   \n",
+       "                                                NOM_RUE  MUNICIPALI  CODE_UTILI  \\\n",
+       "   0                      rue du Square-Victoria  (MTL)          50        6000   \n",
+       "   1                   boulevard Robert-Bourassa  (MTL)          50        6000   \n",
+       "   2                      boulevard Crémazie Est  (MTL)          50        6000   \n",
+       "   3                    place Jean-Paul-Riopelle  (MTL)          50        6000   \n",
+       "   4                  rue Jean-Talon Est  (ANJ+MTL+SLN)          50        6000   \n",
+       "   5                       avenue McGill College  (MTL)          50        6000   \n",
+       "   6               boulevard René-Lévesque Ouest  (MTL)          50        6000   \n",
+       "   7     boulevard Métropolitain Est  (ANJ+MTE+MTL+SLN)          50        6000   \n",
+       "   8  autoroute Transcanadienne  (BCF+BDU+DVL+KRK+MT...          10        6000   \n",
+       "   \n",
+       "              LIBELLE_UT   CATEGORIE_  Hieght_LiD  ...  \\\n",
+       "   0  Immeuble à bureaux  Condominium          90  ...   \n",
+       "   1  Immeuble à bureaux     Régulier          48  ...   \n",
+       "   2  Immeuble à bureaux     Régulier          58  ...   \n",
+       "   3  Immeuble à bureaux     Régulier          66  ...   \n",
+       "   4  Immeuble à bureaux  Condominium          42  ...   \n",
+       "   5  Immeuble à bureaux  Condominium         158  ...   \n",
+       "   6  Immeuble à bureaux     Régulier         131  ...   \n",
+       "   7  Immeuble à bureaux  Condominium          42  ...   \n",
+       "   8  Immeuble à bureaux     Régulier          25  ...   \n",
+       "   \n",
+       "                                               geometry  ANNEE_CONS  \\\n",
+       "   0  POLYGON ((-73.55994206684811 45.50287594412012...        1991   \n",
+       "   1  POLYGON ((-73.56322004218681 45.50004507542943...        1996   \n",
+       "   2  POLYGON ((-73.63854094699516 45.54671792758034...        2002   \n",
+       "   3  POLYGON ((-73.56231250760683 45.502121612052, ...        2003   \n",
+       "   4  POLYGON ((-73.57104512821104 45.59817241236263...        1991   \n",
+       "   5  POLYGON ((-73.57199357348325 45.50345028913625...        1992   \n",
+       "   6  POLYGON ((-73.57182319551549 45.49587349353958...        2003   \n",
+       "   7  POLYGON ((-73.57102761820596 45.59819241743243...        1991   \n",
+       "   8  POLYGON ((-73.844705459432 45.45664242518244, ...        2002   \n",
+       "   \n",
+       "      New_AspectRatio  New_SurfacetoVolumeRatio  \\\n",
+       "   0         0.908140                  0.011111   \n",
+       "   1         1.468001                  0.020833   \n",
+       "   2         1.837909                  0.017241   \n",
+       "   3         1.456113                  0.015152   \n",
+       "   4         0.895554                  0.023810   \n",
+       "   5         1.582988                  0.006329   \n",
+       "   6         1.408682                  0.007634   \n",
+       "   7         0.952336                  0.023810   \n",
+       "   8         1.894240                  0.040000   \n",
+       "   \n",
+       "                                   transformed_geometry  calculated_area  \\\n",
+       "   0  POLYGON ((612501.2011560058 5039824.554537904,...      9388.444437   \n",
+       "   1  POLYGON ((612250.7441904399 5039505.468073806,...      5675.955992   \n",
+       "   2  POLYGON ((606278.2636193141 5044588.17100813, ...      1516.330116   \n",
+       "   3  POLYGON ((612317.5168001838 5039737.432952536,...      2219.215815   \n",
+       "   4  POLYGON ((611445.2709139308 5050396.257017491,...      1881.704106   \n",
+       "   5  POLYGON ((611558.5735955049 5039871.550757436,...     11569.047089   \n",
+       "   6  POLYGON ((611586.8522006472 5039030.031714204,...      2424.582094   \n",
+       "   7  POLYGON ((611446.5969163533 5050398.503885732,...      2227.357995   \n",
+       "   8  POLYGON ((590328.6276032969 5034328.725464806,...     13065.457005   \n",
+       "   \n",
+       "      YearGroup  Building_Size  Building_Floors    lod  \n",
+       "   0  1980-2010    Mega office       10+ floors  lod_2  \n",
+       "   1  1980-2010    Mega office       10+ floors  lod_2  \n",
+       "   2  1980-2010    Mega office       10+ floors   lod1  \n",
+       "   3  1980-2010    Mega office       10+ floors   lod1  \n",
+       "   4  1980-2010    Mega office       10+ floors   lod1  \n",
+       "   5  1980-2010    Mega office       10+ floors   lod1  \n",
+       "   6  1980-2010    Mega office       10+ floors   lod1  \n",
+       "   7  1980-2010    Mega office       10+ floors   lod1  \n",
+       "   8  1980-2010    Mega office       4-9 floors   lod1  \n",
+       "   \n",
+       "   [9 rows x 32 columns]},\n",
+       "  '2011-2024': {'Single-Use Office': Empty DataFrame\n",
+       "   Columns: [OBJECTID, ID_UEV, CIVIQUE_DE, CIVIQUE_FI, NOM_RUE, MUNICIPALI, CODE_UTILI, LIBELLE_UT, CATEGORIE_, Hieght_LiD, AREA_NEW, MBG_Width, MBG_Length, MBG_Orientation, Shape_Length, Shape_Area, BuildingCategory, BuildingVolume, FloorNu_RawTax, FloorNu_RawTax.1, Floor_frmHieght, TotalFloorArea, geometry, ANNEE_CONS, New_AspectRatio, New_SurfacetoVolumeRatio, transformed_geometry, calculated_area, YearGroup, Building_Size, Building_Floors, lod]\n",
+       "   Index: []\n",
+       "   \n",
+       "   [0 rows x 32 columns],\n",
+       "   'Small Office': Empty DataFrame\n",
+       "   Columns: [OBJECTID, ID_UEV, CIVIQUE_DE, CIVIQUE_FI, NOM_RUE, MUNICIPALI, CODE_UTILI, LIBELLE_UT, CATEGORIE_, Hieght_LiD, AREA_NEW, MBG_Width, MBG_Length, MBG_Orientation, Shape_Length, Shape_Area, BuildingCategory, BuildingVolume, FloorNu_RawTax, FloorNu_RawTax.1, Floor_frmHieght, TotalFloorArea, geometry, ANNEE_CONS, New_AspectRatio, New_SurfacetoVolumeRatio, transformed_geometry, calculated_area, YearGroup, Building_Size, Building_Floors, lod]\n",
+       "   Index: []\n",
+       "   \n",
+       "   [0 rows x 32 columns],\n",
+       "   'Medium Office': Empty DataFrame\n",
+       "   Columns: [OBJECTID, ID_UEV, CIVIQUE_DE, CIVIQUE_FI, NOM_RUE, MUNICIPALI, CODE_UTILI, LIBELLE_UT, CATEGORIE_, Hieght_LiD, AREA_NEW, MBG_Width, MBG_Length, MBG_Orientation, Shape_Length, Shape_Area, BuildingCategory, BuildingVolume, FloorNu_RawTax, FloorNu_RawTax.1, Floor_frmHieght, TotalFloorArea, geometry, ANNEE_CONS, New_AspectRatio, New_SurfacetoVolumeRatio, transformed_geometry, calculated_area, YearGroup, Building_Size, Building_Floors, lod]\n",
+       "   Index: []\n",
+       "   \n",
+       "   [0 rows x 32 columns],\n",
+       "   'Large Office':    OBJECTID   ID_UEV  CIVIQUE_DE  CIVIQUE_FI  \\\n",
+       "   0    157591  1020741          66          70   \n",
+       "   \n",
+       "                                  NOM_RUE  MUNICIPALI  CODE_UTILI  \\\n",
+       "   0  rue Sainte-Catherine Est  (MTE+MTL)          50        6000   \n",
+       "   \n",
+       "              LIBELLE_UT CATEGORIE_  Hieght_LiD  ...  \\\n",
+       "   0  Immeuble à bureaux   Régulier          21  ...   \n",
+       "   \n",
+       "                                               geometry  ANNEE_CONS  \\\n",
+       "   0  POLYGON ((-73.56241315995962 45.51025198497198...        2015   \n",
+       "   \n",
+       "      New_AspectRatio  New_SurfacetoVolumeRatio  \\\n",
+       "   0         1.766904                  0.047619   \n",
+       "   \n",
+       "                                   transformed_geometry  calculated_area  \\\n",
+       "   0  POLYGON ((612293.4837653488 5040640.549356579,...      1511.634929   \n",
+       "   \n",
+       "      YearGroup  Building_Size  Building_Floors    lod  \n",
+       "   0  2011-2017   Large office       4-9 floors  lod_2  \n",
+       "   \n",
+       "   [1 rows x 32 columns],\n",
+       "   'Mega Office': Empty DataFrame\n",
+       "   Columns: [OBJECTID, ID_UEV, CIVIQUE_DE, CIVIQUE_FI, NOM_RUE, MUNICIPALI, CODE_UTILI, LIBELLE_UT, CATEGORIE_, Hieght_LiD, AREA_NEW, MBG_Width, MBG_Length, MBG_Orientation, Shape_Length, Shape_Area, BuildingCategory, BuildingVolume, FloorNu_RawTax, FloorNu_RawTax.1, Floor_frmHieght, TotalFloorArea, geometry, ANNEE_CONS, New_AspectRatio, New_SurfacetoVolumeRatio, transformed_geometry, calculated_area, YearGroup, Building_Size, Building_Floors, lod]\n",
+       "   Index: []\n",
+       "   \n",
+       "   [0 rows x 32 columns]}},\n",
+       " 'semi_attached': {'1800-1945': {'Single-Use Office':    OBJECTID   ID_UEV  CIVIQUE_DE  CIVIQUE_FI  \\\n",
+       "   0    173523  1036796        2110        2130   \n",
+       "   1    226823  3065706        6100        6100   \n",
+       "   2    174427  1036891        2135        2135   \n",
+       "   3    179888  1010715        4637        4637   \n",
+       "   4    125391  3043919        8780        8780   \n",
+       "   \n",
+       "                                  NOM_RUE  MUNICIPALI  CODE_UTILI  \\\n",
+       "   0                    rue Bishop  (MTL)          50        6000   \n",
+       "   1            avenue de Monkland  (MTL)          50        6000   \n",
+       "   2                    rue Mackay  (MTL)          50        6000   \n",
+       "   3  rue Sherbrooke Ouest  (MTL+MTO+WMT)          29        6000   \n",
+       "   4           avenue Henri-Julien  (MTL)          50        6000   \n",
+       "   \n",
+       "              LIBELLE_UT CATEGORIE_  Hieght_LiD  ...  \\\n",
+       "   0  Immeuble à bureaux   Régulier          12  ...   \n",
+       "   1  Immeuble à bureaux   Régulier          10  ...   \n",
+       "   2  Immeuble à bureaux   Régulier          15  ...   \n",
+       "   3  Immeuble à bureaux   Régulier           5  ...   \n",
+       "   4  Immeuble à bureaux   Régulier           9  ...   \n",
+       "   \n",
+       "                                               geometry  ANNEE_CONS  \\\n",
+       "   0  POLYGON ((-73.57916527395244 45.49779334293333...        1900   \n",
+       "   1  POLYGON ((-73.62755388806605 45.47014743618870...        1918   \n",
+       "   2  POLYGON ((-73.57966717350638 45.49739864272769...        1889   \n",
+       "   3  POLYGON ((-73.60092207996442 45.48138433887636...        1900   \n",
+       "   4  POLYGON ((-73.64130339751226 45.54449104879917...        1937   \n",
+       "   \n",
+       "      New_AspectRatio  New_SurfacetoVolumeRatio  \\\n",
+       "   0         1.235644                  0.083333   \n",
+       "   1         1.362317                  0.100000   \n",
+       "   2         1.230532                  0.066667   \n",
+       "   3         1.745437                  0.200000   \n",
+       "   4         1.068007                  0.111111   \n",
+       "   \n",
+       "                                   transformed_geometry  calculated_area  \\\n",
+       "   0  POLYGON ((611009.4269293859 5039233.146245314,...       137.182337   \n",
+       "   1  POLYGON ((607281.319289547 5036096.048254837, ...       101.879888   \n",
+       "   2  POLYGON ((610970.9892241635 5039188.602861898,...        96.023362   \n",
+       "   3  POLYGON ((609341.3297254784 5037380.324884437,...        94.208992   \n",
+       "   4  POLYGON ((606066.8103756944 5044337.115839125,...       153.533869   \n",
+       "   \n",
+       "      YearGroup      Building_Size  Building_Floors    lod  \n",
+       "   0  1800-1945  Single use office         3 floors  lod_2  \n",
+       "   1  1800-1945  Single use office         3 floors  lod_2  \n",
+       "   2  1800-1945  Single use office       4-9 floors  lod_2  \n",
+       "   3  1800-1945  Single use office         2 floors   lod1  \n",
+       "   4  1800-1945  Single use office         3 floors   lod1  \n",
+       "   \n",
+       "   [5 rows x 32 columns],\n",
+       "   'Small Office':     OBJECTID   ID_UEV  CIVIQUE_DE  CIVIQUE_FI  \\\n",
+       "   0     185748  1009883        6201        6213   \n",
+       "   1     173517  1036804        2170        2170   \n",
+       "   2     175669  1036895        2149        2149   \n",
+       "   3     180411  1038497         522         522   \n",
+       "   4     151131  3030315         261         261   \n",
+       "   5     162450  1030754        4371        4371   \n",
+       "   6     177096  1119422        1394        1396   \n",
+       "   7     154440  5133365        4651        4651   \n",
+       "   8     178409  5085645        4592        4592   \n",
+       "   9     166124  3010916        6469        6469   \n",
+       "   10    135045  1021963        1229        1231   \n",
+       "   11    179469  1005286        1365        1367   \n",
+       "   \n",
+       "                                     NOM_RUE  MUNICIPALI  CODE_UTILI  \\\n",
+       "   0                   rue Laurendeau  (MTL)          50        6000   \n",
+       "   1                       rue Bishop  (MTL)          50        6000   \n",
+       "   2                       rue Mackay  (MTL)          50        6000   \n",
+       "   3            avenue des Pins Ouest  (MTL)          50        6000   \n",
+       "   4                avenue Bloomfield  (OUT)          50        6000   \n",
+       "   5                  avenue Papineau  (MTL)          50        6000   \n",
+       "   6            rue Saint-Patrick  (LSL+MTL)          50        6000   \n",
+       "   7                  rue Saint-Denis  (MTL)          50        6000   \n",
+       "   8   rue Sainte-Catherine Ouest  (MTL+WMT)          29        6000   \n",
+       "   9                        rue Boyer  (MTL)          50        6000   \n",
+       "   10                       rue Panet  (MTL)          50        6000   \n",
+       "   11               avenue Greene  (MTL+WMT)          29        6000   \n",
+       "   \n",
+       "               LIBELLE_UT   CATEGORIE_  Hieght_LiD  ...  \\\n",
+       "   0   Immeuble à bureaux     Régulier          11  ...   \n",
+       "   1   Immeuble à bureaux     Régulier          16  ...   \n",
+       "   2   Immeuble à bureaux     Régulier          15  ...   \n",
+       "   3   Immeuble à bureaux     Régulier          16  ...   \n",
+       "   4   Immeuble à bureaux     Régulier          15  ...   \n",
+       "   5   Immeuble à bureaux     Régulier          10  ...   \n",
+       "   6   Immeuble à bureaux     Régulier          13  ...   \n",
+       "   7   Immeuble à bureaux  Condominium          10  ...   \n",
+       "   8   Immeuble à bureaux  Condominium          15  ...   \n",
+       "   9   Immeuble à bureaux     Régulier           7  ...   \n",
+       "   10  Immeuble à bureaux     Régulier          13  ...   \n",
+       "   11  Immeuble à bureaux     Régulier          12  ...   \n",
+       "   \n",
+       "                                                geometry  ANNEE_CONS  \\\n",
+       "   0   POLYGON ((-73.58862797272879 45.45687953496964...        1929   \n",
+       "   1   POLYGON ((-73.57967987304336 45.49771904224526...        1900   \n",
+       "   2   POLYGON ((-73.57992820321579 45.49736944940116...        1885   \n",
+       "   3   POLYGON ((-73.57938737395898 45.50879654468857...        1900   \n",
+       "   4   POLYGON ((-73.6019654269362 45.51791662636379,...        1912   \n",
+       "   5   POLYGON ((-73.5726249337438 45.532134751855075...        1932   \n",
+       "   6   POLYGON ((-73.5589881497018 45.487569329352496...        1905   \n",
+       "   7   POLYGON ((-73.58470297659385 45.52491524742003...        1885   \n",
+       "   8   POLYGON ((-73.5946363007038 45.47945002697767,...        1895   \n",
+       "   9   POLYGON ((-73.60192583333324 45.53702702399497...        1910   \n",
+       "   10  POLYGON ((-73.55334036568338 45.51943844678241...        1932   \n",
+       "   11  POLYGON ((-73.59103367639186 45.48780844060499...        1928   \n",
+       "   \n",
+       "       New_AspectRatio  New_SurfacetoVolumeRatio  \\\n",
+       "   0          2.045656                  0.090909   \n",
+       "   1          1.133286                  0.062500   \n",
+       "   2          1.184071                  0.066667   \n",
+       "   3          1.954997                  0.062500   \n",
+       "   4          1.135961                  0.066667   \n",
+       "   5          1.054321                  0.100000   \n",
+       "   6          2.183295                  0.076923   \n",
+       "   7          1.047303                  0.100000   \n",
+       "   8          1.624567                  0.066667   \n",
+       "   9          1.137949                  0.142857   \n",
+       "   10         1.537448                  0.076923   \n",
+       "   11         1.490680                  0.083333   \n",
+       "   \n",
+       "                                    transformed_geometry  calculated_area  \\\n",
+       "   0   POLYGON ((610349.9565319688 5034674.74503984, ...       290.632484   \n",
+       "   1   POLYGON ((610969.3675477002 5039224.180581251,...       203.306938   \n",
+       "   2   POLYGON ((610950.6523120415 5039184.998967445,...       190.453836   \n",
+       "   3   POLYGON ((610970.4507263537 5040455.257674953,...       179.160477   \n",
+       "   4   POLYGON ((609189.1420522593 5041437.51681236, ...       138.592133   \n",
+       "   5   POLYGON ((611452.5969242711 5043057.427864964,...       206.396736   \n",
+       "   6   POLYGON ((612606.2321085059 5038125.380811962,...       195.840917   \n",
+       "   7   POLYGON ((610523.6609073378 5042238.6629857775...       196.063858   \n",
+       "   8   POLYGON ((609836.3361241303 5037174.004206113,...       208.341634   \n",
+       "   9   POLYGON ((609155.2589575902 5043560.679811811,...       394.326945   \n",
+       "   10  POLYGON ((612983.791647313 5041673.863555988, ...       152.677995   \n",
+       "   11  POLYGON ((610101.6129013054 5038107.524099032,...       227.282390   \n",
+       "   \n",
+       "       YearGroup  Building_Size  Building_Floors    lod  \n",
+       "   0   1800-1945   Small office         3 floors  lod_2  \n",
+       "   1   1800-1945   Small office       4-9 floors  lod_2  \n",
+       "   2   1800-1945   Small office       4-9 floors  lod_2  \n",
+       "   3   1800-1945   Small office       4-9 floors  lod_2  \n",
+       "   4   1800-1945   Small office       4-9 floors  lod_2  \n",
+       "   5   1800-1945   Small office         3 floors   lod1  \n",
+       "   6   1800-1945   Small office       4-9 floors   lod1  \n",
+       "   7   1800-1945   Small office         3 floors   lod1  \n",
+       "   8   1800-1945   Small office       4-9 floors   lod1  \n",
+       "   9   1800-1945   Small office         2 floors   lod1  \n",
+       "   10  1800-1945   Small office       4-9 floors   lod1  \n",
+       "   11  1800-1945   Small office         3 floors   lod1  \n",
+       "   \n",
+       "   [12 rows x 32 columns],\n",
+       "   'Medium Office':     OBJECTID   ID_UEV  CIVIQUE_DE  CIVIQUE_FI  \\\n",
+       "   0     131230  1001691        4895        4895   \n",
+       "   1     167005  1091721         506         506   \n",
+       "   2     181865  1000064         224         234   \n",
+       "   3     161189  1103952        3450        3450   \n",
+       "   4     167809  1014014        4067        4075   \n",
+       "   5     180368  1000400         422         424   \n",
+       "   6     180390  1036642         235         243   \n",
+       "   7     152162  1039138         670         670   \n",
+       "   8     139271  1118734        5423        5423   \n",
+       "   9     152428  1125806          51          51   \n",
+       "   10    178895  1000175         296         296   \n",
+       "   11    161159  1027826         825         827   \n",
+       "   12    211760  1046832         471         475   \n",
+       "   13    120749  3108575       10000       10010   \n",
+       "   14     90087  3046938         527         531   \n",
+       "   \n",
+       "                                     NOM_RUE  MUNICIPALI  CODE_UTILI  \\\n",
+       "   0                   rue De Bullion  (MTL)          50        6000   \n",
+       "   1      boulevard René-Lévesque Est  (MTL)          50        6000   \n",
+       "   2             rue Saint-Paul Ouest  (MTL)          50        6000   \n",
+       "   3                 rue Saint-Urbain  (MTL)          50        6000   \n",
+       "   4          boulevard Saint-Laurent  (MTL)          50        6000   \n",
+       "   5        rue Saint-François-Xavier  (MTL)          50        6000   \n",
+       "   6         rue Notre-Dame Ouest  (MTL+MTO)          50        6000   \n",
+       "   7   rue Sainte-Catherine Ouest  (MTL+WMT)          50        6000   \n",
+       "   8               avenue De Lorimier  (MTL)          50        6000   \n",
+       "   9     rue Sherbrooke Ouest  (MTL+MTO+WMT)          50        6000   \n",
+       "   10            rue Saint-Paul Ouest  (MTL)          50        6000   \n",
+       "   11          rue Sherbrooke Est  (MTE+MTL)          50        6000   \n",
+       "   12                rue de l' Église  (VRD)          50        6000   \n",
+       "   13                  rue Lajeunesse  (MTL)          50        6000   \n",
+       "   14           rue Jarry Est  (ANJ+MTL+SLN)          50        6000   \n",
+       "   \n",
+       "               LIBELLE_UT CATEGORIE_  Hieght_LiD  ...  \\\n",
+       "   0   Immeuble à bureaux   Régulier          15  ...   \n",
+       "   1   Immeuble à bureaux   Régulier          15  ...   \n",
+       "   2   Immeuble à bureaux   Régulier          20  ...   \n",
+       "   3   Immeuble à bureaux   Régulier          21  ...   \n",
+       "   4   Immeuble à bureaux   Régulier          13  ...   \n",
+       "   5   Immeuble à bureaux   Régulier          30  ...   \n",
+       "   6   Immeuble à bureaux   Régulier          21  ...   \n",
+       "   7   Immeuble à bureaux   Régulier          30  ...   \n",
+       "   8   Immeuble à bureaux   Régulier          12  ...   \n",
+       "   9   Immeuble à bureaux   Régulier          26  ...   \n",
+       "   10  Immeuble à bureaux   Régulier          29  ...   \n",
+       "   11  Immeuble à bureaux   Régulier          52  ...   \n",
+       "   12  Immeuble à bureaux   Régulier          12  ...   \n",
+       "   13  Immeuble à bureaux   Régulier           8  ...   \n",
+       "   14  Immeuble à bureaux   Régulier          15  ...   \n",
+       "   \n",
+       "                                                geometry  ANNEE_CONS  \\\n",
+       "   0   POLYGON ((-73.58936796331737 45.5237281624558,...        1914   \n",
+       "   1   POLYGON ((-73.55654146677554 45.51360434614533...        1910   \n",
+       "   2   POLYGON ((-73.55517659653877 45.50202110078391...        1885   \n",
+       "   3   POLYGON ((-73.57113707201928 45.51146014473179...        1923   \n",
+       "   4   POLYGON ((-73.57963345497365 45.51719888479414...        1923   \n",
+       "   5   POLYGON ((-73.55613922681212 45.50281276557469...        1900   \n",
+       "   6   POLYGON ((-73.55790346690851 45.50340206951155...        1870   \n",
+       "   7   POLYGON ((-73.56959462501126 45.50281020394067...        1936   \n",
+       "   8   POLYGON ((-73.58219417649906 45.53986194984145...        1928   \n",
+       "   9   POLYGON ((-73.5699694709861 45.51189104519245,...        1840   \n",
+       "   10  POLYGON ((-73.55549626931806 45.50146508205898...        1870   \n",
+       "   11  POLYGON ((-73.56672057112536 45.51960964732998...        1910   \n",
+       "   12  POLYGON ((-73.56965832062795 45.46298400546762...        1945   \n",
+       "   13  POLYGON ((-73.6586888642139 45.552076308306695...        1927   \n",
+       "   14  POLYGON ((-73.62883544711543 45.54352842438114...        1930   \n",
+       "   \n",
+       "       New_AspectRatio  New_SurfacetoVolumeRatio  \\\n",
+       "   0          1.419265                  0.066667   \n",
+       "   1          1.499096                  0.066667   \n",
+       "   2          1.675941                  0.050000   \n",
+       "   3          1.930249                  0.047619   \n",
+       "   4          1.352568                  0.076923   \n",
+       "   5          1.540170                  0.033333   \n",
+       "   6          1.421825                  0.047619   \n",
+       "   7          1.564195                  0.033333   \n",
+       "   8          1.242396                  0.083333   \n",
+       "   9          1.111546                  0.038462   \n",
+       "   10         2.338100                  0.034483   \n",
+       "   11         1.940589                  0.019231   \n",
+       "   12         1.636018                  0.083333   \n",
+       "   13         1.608065                  0.125000   \n",
+       "   14         1.821522                  0.066667   \n",
+       "   \n",
+       "                                    transformed_geometry  calculated_area  \\\n",
+       "   0   POLYGON ((610161.6803902066 5042100.3695878, 6...      1038.336369   \n",
+       "   1   POLYGON ((612745.4396386939 5041021.2136986535...       972.011763   \n",
+       "   2   POLYGON ((612875.199818599 5039736.271083656, ...       755.602555   \n",
+       "   3   POLYGON ((611609.6512164674 5040762.609225983,...       575.005627   \n",
+       "   4   POLYGON ((610934.7159851253 5041388.390613182,...       544.741926   \n",
+       "   5   POLYGON ((612798.4144322297 5039822.869823598,...       522.753797   \n",
+       "   6   POLYGON ((612659.4119386782 5039885.863047092,...       506.793222   \n",
+       "   7   POLYGON ((611747.2499530618 5039803.774677364,...       444.520579   \n",
+       "   8   POLYGON ((610690.2477808346 5043902.655908262,...       425.335053   \n",
+       "   9   POLYGON ((611700.000625202 5040812.104424738, ...       355.489431   \n",
+       "   10  POLYGON ((612851.3368781356 5039674.050072974,...       267.552099   \n",
+       "   11  POLYGON ((611938.464730652 5041674.1412119195,...       228.224136   \n",
+       "   12  POLYGON ((611821.0492886521 5035379.1457291525...       970.318164   \n",
+       "   13  POLYGON ((604695.5310580841 5045156.989063417,...       640.519545   \n",
+       "   14  POLYGON ((607041.9463220298 5044246.7244458115...       860.701809   \n",
+       "   \n",
+       "       YearGroup  Building_Size  Building_Floors    lod  \n",
+       "   0   1800-1945  Medium office       4-9 floors  lod_2  \n",
+       "   1   1800-1945  Medium office       4-9 floors  lod_2  \n",
+       "   2   1800-1945  Medium office       4-9 floors  lod_2  \n",
+       "   3   1800-1945  Medium office       4-9 floors  lod_2  \n",
+       "   4   1800-1945  Medium office       4-9 floors  lod_2  \n",
+       "   5   1800-1945  Medium office       4-9 floors  lod_2  \n",
+       "   6   1800-1945  Medium office       4-9 floors  lod_2  \n",
+       "   7   1800-1945  Medium office       4-9 floors  lod_2  \n",
+       "   8   1800-1945  Medium office         3 floors  lod_2  \n",
+       "   9   1800-1945  Medium office       4-9 floors  lod_2  \n",
+       "   10  1800-1945  Medium office       4-9 floors  lod_2  \n",
+       "   11  1800-1945  Medium office       10+ floors  lod_2  \n",
+       "   12  1800-1945  Medium office         3 floors   lod1  \n",
+       "   13  1800-1945  Medium office         2 floors   lod1  \n",
+       "   14  1800-1945  Medium office       4-9 floors   lod1  \n",
+       "   \n",
+       "   [15 rows x 32 columns],\n",
+       "   'Large Office':     OBJECTID   ID_UEV  CIVIQUE_DE  CIVIQUE_FI  \\\n",
+       "   0     132697  1000304        2050        2060   \n",
+       "   1     173638  1037552        1450        1478   \n",
+       "   2     133749  1039156         728         770   \n",
+       "   3     171644  1039133         482         488   \n",
+       "   4     175033  1036623         372         396   \n",
+       "   5     173971  1002597        1388        1400   \n",
+       "   6     173777  1039237        1171        1179   \n",
+       "   7     139135  1091238         338         338   \n",
+       "   8     139659  1101764        4436        4450   \n",
+       "   9     173972  1002600        1420        1420   \n",
+       "   10    169828  1032198        1689        1707   \n",
+       "   11    146814  1118566        2095        2101   \n",
+       "   12    173857  1036444         407         407   \n",
+       "   13    173981  1000194         400         402   \n",
+       "   14    180781  1036994        2005        2025   \n",
+       "   \n",
+       "                                     NOM_RUE  MUNICIPALI  CODE_UTILI  \\\n",
+       "   0                    rue De Bleury  (MTL)          50        6000   \n",
+       "   1                         rue Peel  (MTL)          50        6000   \n",
+       "   2   rue Sainte-Catherine Ouest  (MTL+WMT)          50        6000   \n",
+       "   3   rue Sainte-Catherine Ouest  (MTL+WMT)          50        6000   \n",
+       "   4         rue Notre-Dame Ouest  (MTL+MTO)          50        6000   \n",
+       "   5   rue Sainte-Catherine Ouest  (MTL+WMT)          50        6000   \n",
+       "   6   rue Sainte-Catherine Ouest  (MTL+WMT)          50        6000   \n",
+       "   7            rue Saint-Antoine Est  (MTL)          50        6000   \n",
+       "   8          boulevard Saint-Laurent  (MTL)          50        6000   \n",
+       "   9   rue Sainte-Catherine Ouest  (MTL+WMT)          50        6000   \n",
+       "   10            rue de la Visitation  (MTL)          50        6000   \n",
+       "   11         boulevard Saint-Laurent  (MTL)          50        6000   \n",
+       "   12                rue Saint-Pierre  (MTL)          50        6000   \n",
+       "   13            rue Saint-Paul Ouest  (MTL)          50        6000   \n",
+       "   14                    rue Drummond  (MTL)          50        6000   \n",
+       "   \n",
+       "               LIBELLE_UT CATEGORIE_  Hieght_LiD  ...  \\\n",
+       "   0   Immeuble à bureaux   Régulier          31  ...   \n",
+       "   1   Immeuble à bureaux   Régulier          38  ...   \n",
+       "   2   Immeuble à bureaux   Régulier          40  ...   \n",
+       "   3   Immeuble à bureaux   Régulier          40  ...   \n",
+       "   4   Immeuble à bureaux   Régulier          29  ...   \n",
+       "   5   Immeuble à bureaux   Régulier          20  ...   \n",
+       "   6   Immeuble à bureaux   Régulier          43  ...   \n",
+       "   7   Immeuble à bureaux   Régulier          20  ...   \n",
+       "   8   Immeuble à bureaux   Régulier          41  ...   \n",
+       "   9   Immeuble à bureaux   Régulier          27  ...   \n",
+       "   10  Immeuble à bureaux   Régulier          23  ...   \n",
+       "   11  Immeuble à bureaux   Régulier          17  ...   \n",
+       "   12  Immeuble à bureaux   Régulier          26  ...   \n",
+       "   13  Immeuble à bureaux   Régulier          42  ...   \n",
+       "   14  Immeuble à bureaux   Régulier          36  ...   \n",
+       "   \n",
+       "                                                geometry  ANNEE_CONS  \\\n",
+       "   0   POLYGON ((-73.57013319559366 45.50702951862677...        1924   \n",
+       "   1   POLYGON ((-73.57433694067709 45.50022612054346...        1927   \n",
+       "   2   POLYGON ((-73.5701846698979 45.5017067438953, ...        1942   \n",
+       "   3   POLYGON ((-73.56768038469887 45.50439836337723...        1910   \n",
+       "   4   POLYGON ((-73.55850681495349 45.5015187383185,...        1930   \n",
+       "   5   POLYGON ((-73.57613779222372 45.49654729202952...        1928   \n",
+       "   6   POLYGON ((-73.57422265894547 45.49955407820902...        1926   \n",
+       "   7   POLYGON ((-73.554270896234 45.51026765628178, ...        1924   \n",
+       "   8   POLYGON ((-73.58613632975992 45.51989872311082...        1915   \n",
+       "   9   POLYGON ((-73.57640907135449 45.49627031789635...        1914   \n",
+       "   10  POLYGON ((-73.55879216773742 45.52090924704658...        1910   \n",
+       "   11  POLYGON ((-73.56849088574573 45.51218166967833...        1910   \n",
+       "   12  POLYGON ((-73.55626785990366 45.50130220904603...        1890   \n",
+       "   13  POLYGON ((-73.5564635025813 45.50031610984229,...        1870   \n",
+       "   14  POLYGON ((-73.57618546087303 45.49966450964513...        1920   \n",
+       "   \n",
+       "       New_AspectRatio  New_SurfacetoVolumeRatio  \\\n",
+       "   0          1.106759                  0.032258   \n",
+       "   1          1.524624                  0.026316   \n",
+       "   2          1.519727                  0.025000   \n",
+       "   3          1.725702                  0.025000   \n",
+       "   4          1.430832                  0.034483   \n",
+       "   5          1.446137                  0.050000   \n",
+       "   6          1.603689                  0.023256   \n",
+       "   7          1.284735                  0.050000   \n",
+       "   8          1.171333                  0.024390   \n",
+       "   9          1.572153                  0.037037   \n",
+       "   10         1.694745                  0.043478   \n",
+       "   11         0.889978                  0.058824   \n",
+       "   12         1.749728                  0.038462   \n",
+       "   13         1.807100                  0.023810   \n",
+       "   14         1.188293                  0.027778   \n",
+       "   \n",
+       "                                    transformed_geometry  calculated_area  \\\n",
+       "   0   POLYGON ((611696.8293322611 5040271.77706584, ...      2208.098315   \n",
+       "   1   POLYGON ((611381.8644669446 5039510.104140576,...      1853.322326   \n",
+       "   2   POLYGON ((611703.3367076555 5039680.363193261,...      1715.442088   \n",
+       "   3   POLYGON ((611893.648412758 5039982.879141536, ...      1539.149999   \n",
+       "   4   POLYGON ((612616.0328832138 5039675.78518845, ...      1286.600825   \n",
+       "   5   POLYGON ((611248.4165703421 5039098.9032136, 6...      1066.985923   \n",
+       "   6   POLYGON ((611392.1182854141 5039435.601058359,...      1021.443975   \n",
+       "   7   POLYGON ((612929.4626864423 5040653.709024177,...       941.959584   \n",
+       "   8   POLYGON ((610421.5425228812 5041679.370037061,...       902.926415   \n",
+       "   9   POLYGON ((611227.7665983188 5039067.756654412,...       803.036125   \n",
+       "   10  POLYGON ((612555.0754219793 5041829.607314181,...       864.917416   \n",
+       "   11  POLYGON ((611814.9172413286 5040846.449748585,...       945.956595   \n",
+       "   12  POLYGON ((612791.3821257554 5039654.871518384,...       790.801144   \n",
+       "   13  POLYGON ((612778.0667147076 5039545.0445604315...       431.125224   \n",
+       "   14  POLYGON ((611238.5529006245 5039445.149184816,...      1688.867120   \n",
+       "   \n",
+       "       YearGroup  Building_Size  Building_Floors    lod  \n",
+       "   0   1800-1945   Large office       4-9 floors  lod_2  \n",
+       "   1   1800-1945   Large office       10+ floors  lod_2  \n",
+       "   2   1800-1945   Large office       10+ floors  lod_2  \n",
+       "   3   1800-1945   Large office       10+ floors  lod_2  \n",
+       "   4   1800-1945   Large office       4-9 floors  lod_2  \n",
+       "   5   1800-1945   Large office       4-9 floors  lod_2  \n",
+       "   6   1800-1945   Large office       10+ floors  lod_2  \n",
+       "   7   1800-1945   Large office       4-9 floors  lod_2  \n",
+       "   8   1800-1945   Large office       10+ floors  lod_2  \n",
+       "   9   1800-1945   Large office       4-9 floors  lod_2  \n",
+       "   10  1800-1945   Large office       4-9 floors   lod1  \n",
+       "   11  1800-1945   Large office       4-9 floors   lod1  \n",
+       "   12  1800-1945   Large office       4-9 floors   lod1  \n",
+       "   13  1800-1945   Large office       10+ floors   lod1  \n",
+       "   14  1800-1945   Large office       4-9 floors   lod1  \n",
+       "   \n",
+       "   [15 rows x 32 columns],\n",
+       "   'Mega Office':     OBJECTID   ID_UEV  CIVIQUE_DE  CIVIQUE_FI  \\\n",
+       "   0     157271  1037685        1153        1155   \n",
+       "   1     134981  1058984         372         372   \n",
+       "   2     130907  1037520        1160        1170   \n",
+       "   3     139166  1091142         155         155   \n",
+       "   4     179295  1000424         410         410   \n",
+       "   5     133265  1041901        3563        3595   \n",
+       "   6     130904  1039286         620         636   \n",
+       "   7     179425  1036823         437         437   \n",
+       "   8     174739  1004585         928         930   \n",
+       "   9     160711  1039245        1101        1117   \n",
+       "   10    174154  1004528         995        1005   \n",
+       "   11    153333  1039136        1243        1257   \n",
+       "   12    180257  1036564         751         759   \n",
+       "   \n",
+       "                                     NOM_RUE  MUNICIPALI  CODE_UTILI  \\\n",
+       "   0                     rue Metcalfe  (MTL)          50        6000   \n",
+       "   1   rue Sainte-Catherine Ouest  (MTL+WMT)          50        6000   \n",
+       "   2                         rue Peel  (MTL)          50        6000   \n",
+       "   3           rue Notre-Dame Est  (MTE+MTL)          50        6000   \n",
+       "   4                rue Saint-Nicolas  (MTL)          50        6000   \n",
+       "   5          boulevard Saint-Laurent  (MTL)          50        6000   \n",
+       "   6                     rue Cathcart  (MTL)          50        6000   \n",
+       "   7                rue Saint-Jacques  (MTL)          50        6000   \n",
+       "   8               rue Wellington  (MTL+VRD)          50        6000   \n",
+       "   9   rue Sainte-Catherine Ouest  (MTL+WMT)          50        6000   \n",
+       "   10              rue Wellington  (MTL+VRD)          50        6000   \n",
+       "   11       boulevard Robert-Bourassa  (MTL)          50        6000   \n",
+       "   12          rue du Square-Victoria  (MTL)          50        6000   \n",
+       "   \n",
+       "               LIBELLE_UT CATEGORIE_  Hieght_LiD  ...  \\\n",
+       "   0   Immeuble à bureaux   Régulier          27  ...   \n",
+       "   1   Immeuble à bureaux   Régulier          33  ...   \n",
+       "   2   Immeuble à bureaux   Régulier         250  ...   \n",
+       "   3   Immeuble à bureaux   Régulier          26  ...   \n",
+       "   4   Immeuble à bureaux   Régulier          32  ...   \n",
+       "   5   Immeuble à bureaux   Régulier          42  ...   \n",
+       "   6   Immeuble à bureaux   Régulier         117  ...   \n",
+       "   7   Immeuble à bureaux   Régulier          90  ...   \n",
+       "   8   Immeuble à bureaux   Régulier          21  ...   \n",
+       "   9   Immeuble à bureaux   Régulier          51  ...   \n",
+       "   10  Immeuble à bureaux   Régulier          76  ...   \n",
+       "   11  Immeuble à bureaux   Régulier          67  ...   \n",
+       "   12  Immeuble à bureaux   Régulier          90  ...   \n",
+       "   \n",
+       "                                                geometry  ANNEE_CONS  \\\n",
+       "   0   POLYGON ((-73.5697349691931 45.49962694722756,...        1932   \n",
+       "   1   POLYGON ((-73.56760629146514 45.50538348237352...        1913   \n",
+       "   2   POLYGON ((-73.57126357042367 45.49892334277098...        1872   \n",
+       "   3   POLYGON ((-73.55450816597741 45.50825654535038...        1900   \n",
+       "   4   POLYGON ((-73.55611597368724 45.50151383785921...        1901   \n",
+       "   5   POLYGON ((-73.57245733323897 45.51396939621133...        1929   \n",
+       "   6   POLYGON ((-73.56842527847726 45.50285078245523...        1934   \n",
+       "   7   POLYGON ((-73.5608550449783 45.501569708626356...        1909   \n",
+       "   8   POLYGON ((-73.55540676490541 45.49440444289737...        1945   \n",
+       "   9   POLYGON ((-73.5733649889902 45.49972318381954,...        1915   \n",
+       "   10  POLYGON ((-73.55710086462238 45.49402594290835...        1933   \n",
+       "   11  POLYGON ((-73.56901231913658 45.50290052356264...        1929   \n",
+       "   12  POLYGON ((-73.56093752450654 45.50159835706201...        1875   \n",
+       "   \n",
+       "       New_AspectRatio  New_SurfacetoVolumeRatio  \\\n",
+       "   0          1.596588                  0.037037   \n",
+       "   1          0.982857                  0.030303   \n",
+       "   2          1.305402                  0.004000   \n",
+       "   3          1.189871                  0.038462   \n",
+       "   4          1.186223                  0.031250   \n",
+       "   5          1.377640                  0.023810   \n",
+       "   6          2.023122                  0.008547   \n",
+       "   7          1.743594                  0.011111   \n",
+       "   8          0.929417                  0.047619   \n",
+       "   9          1.416108                  0.019608   \n",
+       "   10         1.468756                  0.013158   \n",
+       "   11         1.637452                  0.014925   \n",
+       "   12         1.163293                  0.011111   \n",
+       "   \n",
+       "                                    transformed_geometry  calculated_area  \\\n",
+       "   0   POLYGON ((611742.5839885159 5039449.9305316, 6...      8176.696024   \n",
+       "   1   POLYGON ((611897.4845150001 5040092.425776289,...      3596.697372   \n",
+       "   2   POLYGON ((611624.5496171947 5039369.63689582, ...      3525.542664   \n",
+       "   3   POLYGON ((612914.950950171 5040429.947586274, ...      2809.241755   \n",
+       "   4   POLYGON ((612802.8254781137 5039678.596072969,...      2650.032780   \n",
+       "   5   POLYGON ((611501.5687942252 5041039.544736832,...      2021.047638   \n",
+       "   6   POLYGON ((611838.5218929411 5039809.910560088,...      1476.595247   \n",
+       "   7   POLYGON ((612432.4775749772 5039678.157721231,...       971.980447   \n",
+       "   8   POLYGON ((612872.4380369334 5038889.763619352,...      4984.458097   \n",
+       "   9   POLYGON ((611458.7917753085 5039455.578004676,...      1476.776152   \n",
+       "   10  POLYGON ((612740.8263893465 5038845.334370434,...      3765.697222   \n",
+       "   11  POLYGON ((611792.5623637864 5039814.619291716,...      1687.135259   \n",
+       "   12  POLYGON ((612425.9768948894 5039681.224999816,...      2835.932927   \n",
+       "   \n",
+       "       YearGroup  Building_Size  Building_Floors    lod  \n",
+       "   0   1800-1945    Mega office       4-9 floors  lod_2  \n",
+       "   1   1800-1945    Mega office       4-9 floors  lod_2  \n",
+       "   2   1800-1945    Mega office       10+ floors  lod_2  \n",
+       "   3   1800-1945    Mega office       4-9 floors  lod_2  \n",
+       "   4   1800-1945    Mega office       4-9 floors  lod_2  \n",
+       "   5   1800-1945    Mega office       10+ floors  lod_2  \n",
+       "   6   1800-1945    Mega office       10+ floors   lod1  \n",
+       "   7   1800-1945    Mega office       10+ floors   lod1  \n",
+       "   8   1800-1945    Mega office       4-9 floors   lod1  \n",
+       "   9   1800-1945    Mega office       10+ floors   lod1  \n",
+       "   10  1800-1945    Mega office       10+ floors   lod1  \n",
+       "   11  1800-1945    Mega office       10+ floors   lod1  \n",
+       "   12  1800-1945    Mega office       10+ floors   lod1  \n",
+       "   \n",
+       "   [13 rows x 32 columns]},\n",
+       "  '1946-1979': {'Single-Use Office':    OBJECTID   ID_UEV  CIVIQUE_DE  CIVIQUE_FI                       NOM_RUE  \\\n",
+       "   0    202350  3117092        4030        4040           avenue Royal  (MTL)   \n",
+       "   1     76427  2080254       11516       11518  avenue Ovide-Clermont  (MTN)   \n",
+       "   2    123362  2081410        3435        3435       rue de Mont-Joli  (MTN)   \n",
+       "   3    207524  5023404         397         397    avenue Sainte-Croix  (SLR)   \n",
+       "   4    126980  3045632        8720        8724            rue Foucher  (MTL)   \n",
+       "   5    109796  3050952        1599        1599     rue Fleury Est  (MTL+MTN)   \n",
+       "   \n",
+       "      MUNICIPALI  CODE_UTILI           LIBELLE_UT   CATEGORIE_  Hieght_LiD  ...  \\\n",
+       "   0          50        6000   Immeuble à bureaux     Régulier           7  ...   \n",
+       "   1          50        6000   Immeuble à bureaux     Régulier          11  ...   \n",
+       "   2          50        6000   Immeuble à bureaux     Régulier           8  ...   \n",
+       "   3          50        6000   Immeuble à bureaux  Condominium           7  ...   \n",
+       "   4          50        6000   Immeuble à bureaux     Régulier           8  ...   \n",
+       "   5          50        6522  Service de notaires     Régulier           9  ...   \n",
+       "   \n",
+       "                                               geometry  ANNEE_CONS  \\\n",
+       "   0  POLYGON ((-73.62249598548176 45.47001053617196...        1950   \n",
+       "   1  POLYGON ((-73.61782939370319 45.60988915974938...        1966   \n",
+       "   2  POLYGON ((-73.63919209852169 45.57909745403225...        1950   \n",
+       "   3  POLYGON ((-73.66965010514139 45.51072804105745...        1955   \n",
+       "   4  POLYGON ((-73.63758428045132 45.54733182102727...        1953   \n",
+       "   5  POLYGON ((-73.65597460472402 45.56384135123657...        1949   \n",
+       "   \n",
+       "      New_AspectRatio  New_SurfacetoVolumeRatio  \\\n",
+       "   0         1.971439                  0.142857   \n",
+       "   1         1.520419                  0.090909   \n",
+       "   2         1.432374                  0.125000   \n",
+       "   3         0.779684                  0.142857   \n",
+       "   4         1.275957                  0.125000   \n",
+       "   5         1.586080                  0.111111   \n",
+       "   \n",
+       "                                   transformed_geometry  calculated_area  \\\n",
+       "   0  POLYGON ((607676.944823794 5036087.604296546, ...       179.392380   \n",
+       "   1  POLYGON ((607774.1030391953 5051634.007005093,...       119.011399   \n",
+       "   2  POLYGON ((606166.417799305 5048184.601466315, ...        91.150392   \n",
+       "   3  POLYGON ((603916.0886780696 5040549.06980726, ...       172.213301   \n",
+       "   4  POLYGON ((606351.7848416106 5044657.64038519, ...       184.999113   \n",
+       "   5  POLYGON ((604885.496274533 5046467.602871114, ...        87.474215   \n",
+       "   \n",
+       "      YearGroup      Building_Size  Building_Floors    lod  \n",
+       "   0  1946-1979  Single use office         2 floors  lod_2  \n",
+       "   1  1946-1979  Single use office         3 floors   lod1  \n",
+       "   2  1946-1979  Single use office         2 floors   lod1  \n",
+       "   3  1946-1979  Single use office         2 floors   lod1  \n",
+       "   4  1946-1979  Single use office         2 floors   lod1  \n",
+       "   5  1946-1979  Single use office         3 floors   lod1  \n",
+       "   \n",
+       "   [6 rows x 32 columns],\n",
+       "   'Small Office':    OBJECTID   ID_UEV  CIVIQUE_DE  CIVIQUE_FI  \\\n",
+       "   0    216260  3065685        5800        5800   \n",
+       "   1    143175  2014029        2486        2490   \n",
+       "   2    226359  1048673        3435        3435   \n",
+       "   3    264898  5054635        3344        3360   \n",
+       "   4    178865  5093435        4101        4101   \n",
+       "   5    110844  3081835          34          40   \n",
+       "   6    222556  3065863        5925        5925   \n",
+       "   \n",
+       "                                  NOM_RUE  MUNICIPALI  CODE_UTILI  \\\n",
+       "   0            avenue de Monkland  (MTL)          50        6000   \n",
+       "   1    rue Jean-Talon Est  (ANJ+MTL+SLN)          50        6000   \n",
+       "   2             rue Saint-Jacques  (MTL)          50        6000   \n",
+       "   3                rue Notre-Dame  (LCH)          50        6000   \n",
+       "   4  rue Sherbrooke Ouest  (MTL+MTO+WMT)          29        6000   \n",
+       "   5      rue Jean-Talon Ouest  (MTL+MTR)          50        6000   \n",
+       "   6            avenue de Monkland  (MTL)          50        6000   \n",
+       "   \n",
+       "              LIBELLE_UT   CATEGORIE_  Hieght_LiD  ...  \\\n",
+       "   0  Immeuble à bureaux     Régulier           9  ...   \n",
+       "   1  Immeuble à bureaux     Régulier           9  ...   \n",
+       "   2  Immeuble à bureaux     Régulier          10  ...   \n",
+       "   3  Immeuble à bureaux     Régulier           8  ...   \n",
+       "   4  Immeuble à bureaux  Condominium          18  ...   \n",
+       "   5  Immeuble à bureaux     Régulier           9  ...   \n",
+       "   6  Immeuble à bureaux     Régulier          14  ...   \n",
+       "   \n",
+       "                                               geometry  ANNEE_CONS  \\\n",
+       "   0  POLYGON ((-73.62495358909442 45.47289641754817...        1953   \n",
+       "   1  POLYGON ((-73.60184916622264 45.55328838678914...        1964   \n",
+       "   2  POLYGON ((-73.58194747309867 45.48243323976856...        1950   \n",
+       "   3  POLYGON ((-73.6935984073544 45.43442302787507,...        1961   \n",
+       "   4  POLYGON ((-73.59066957543668 45.48913674019127...        1960   \n",
+       "   5  POLYGON ((-73.61838688897006 45.53405934738505...        1955   \n",
+       "   6  POLYGON ((-73.62625308739449 45.47208193630858...        1955   \n",
+       "   \n",
+       "      New_AspectRatio  New_SurfacetoVolumeRatio  \\\n",
+       "   0         1.139808                  0.111111   \n",
+       "   1         1.504518                  0.111111   \n",
+       "   2         1.363840                  0.100000   \n",
+       "   3         0.801654                  0.125000   \n",
+       "   4         1.682336                  0.055556   \n",
+       "   5         1.385811                  0.111111   \n",
+       "   6         1.859540                  0.071429   \n",
+       "   \n",
+       "                                   transformed_geometry  calculated_area  \\\n",
+       "   0  POLYGON ((607479.3526719069 5036404.924108857,...       207.564557   \n",
+       "   1  POLYGON ((609129.7703894754 5045367.379098006,...       293.189064   \n",
+       "   2  POLYGON ((610822.17977562 5037522.852975652, 6...       190.541619   \n",
+       "   3  POLYGON ((602183.2701395815 5032041.16680923, ...       292.819535   \n",
+       "   4  POLYGON ((610127.4759596154 5038255.592425184,...       168.200146   \n",
+       "   5  POLYGON ((607875.734211169 5043208.724689281, ...       267.686001   \n",
+       "   6  POLYGON ((607379.3257468251 5036312.701057329,...       210.338567   \n",
+       "   \n",
+       "      YearGroup  Building_Size  Building_Floors    lod  \n",
+       "   0  1946-1979   Small office         3 floors  lod_2  \n",
+       "   1  1946-1979   Small office         3 floors   lod1  \n",
+       "   2  1946-1979   Small office         3 floors   lod1  \n",
+       "   3  1946-1979   Small office         2 floors   lod1  \n",
+       "   4  1946-1979   Small office       4-9 floors   lod1  \n",
+       "   5  1946-1979   Small office         3 floors   lod1  \n",
+       "   6  1946-1979   Small office       4-9 floors   lod1  \n",
+       "   \n",
+       "   [7 rows x 32 columns],\n",
+       "   'Medium Office':     OBJECTID   ID_UEV  CIVIQUE_DE  CIVIQUE_FI  \\\n",
+       "   0     261991  3037546        5250        5250   \n",
+       "   1     222910  3040558        3400        3400   \n",
+       "   2     153708  5035026        3412        3418   \n",
+       "   3     136953  1025164        2600        2600   \n",
+       "   4     157789  1035340        1851        1851   \n",
+       "   5     173184  1036183         468         468   \n",
+       "   6     174473  1036319        2160        2170   \n",
+       "   7     216377  3040145        5075        5075   \n",
+       "   8     192586  3007819        5298        5302   \n",
+       "   9     178249  1090706         133         133   \n",
+       "   10    180485  5031826         542         546   \n",
+       "   11    135408  1023515        4217        4223   \n",
+       "   12     93651  3016120        8225        8227   \n",
+       "   13    179471  1005263        1326        1330   \n",
+       "   14    170312  2065633        3440        3444   \n",
+       "   \n",
+       "                                       NOM_RUE  MUNICIPALI  CODE_UTILI  \\\n",
+       "   0          boulevard Décarie  (CSL+MTL+MTR)          50        6000   \n",
+       "   1           rue Jean-Talon Ouest  (MTL+MTR)          50        6000   \n",
+       "   2                     avenue du Parc  (MTL)          50        6000   \n",
+       "   3                        rue Wurtele  (MTL)          50        6000   \n",
+       "   4             rue Sherbrooke Est  (MTE+MTL)          50        6000   \n",
+       "   5                     rue Saint-Jean  (MTL)          50        6000   \n",
+       "   6                 rue de la Montagne  (MTL)          50        6000   \n",
+       "   7                       rue De Sorel  (MTL)          50        6000   \n",
+       "   8   chemin de la Côte-des-Neiges  (MTL+WMT)          50        6000   \n",
+       "   9            rue de la Commune Ouest  (MTL)          50        6000   \n",
+       "   10             avenue des Pins Ouest  (MTL)          50        6000   \n",
+       "   11                   rue D'Iberville  (MTL)          50        6000   \n",
+       "   12           boulevard Saint-Laurent  (MTL)          50        6000   \n",
+       "   13                 avenue Greene  (MTL+WMT)          29        6000   \n",
+       "   14               rue Ontario Est  (MTE+MTL)          50        6000   \n",
+       "   \n",
+       "               LIBELLE_UT CATEGORIE_  Hieght_LiD  ...  \\\n",
+       "   0   Immeuble à bureaux   Régulier           9  ...   \n",
+       "   1   Immeuble à bureaux   Régulier           9  ...   \n",
+       "   2   Immeuble à bureaux   Régulier          19  ...   \n",
+       "   3   Immeuble à bureaux   Régulier           6  ...   \n",
+       "   4   Immeuble à bureaux   Régulier          12  ...   \n",
+       "   5   Immeuble à bureaux   Régulier          22  ...   \n",
+       "   6   Immeuble à bureaux   Régulier          26  ...   \n",
+       "   7   Immeuble à bureaux   Régulier          21  ...   \n",
+       "   8   Immeuble à bureaux   Régulier          25  ...   \n",
+       "   9   Immeuble à bureaux   Régulier          17  ...   \n",
+       "   10  Immeuble à bureaux   Régulier          15  ...   \n",
+       "   11  Immeuble à bureaux   Régulier          15  ...   \n",
+       "   12  Immeuble à bureaux   Régulier          10  ...   \n",
+       "   13  Immeuble à bureaux   Régulier          15  ...   \n",
+       "   14  Immeuble à bureaux   Régulier           8  ...   \n",
+       "   \n",
+       "                                                geometry  ANNEE_CONS  \\\n",
+       "   0   POLYGON ((-73.6323833779238 45.48432565820514,...        1960   \n",
+       "   1   POLYGON ((-73.63867989389526 45.50698704206368...        1959   \n",
+       "   2   POLYGON ((-73.57156206007738 45.50819292326918...        1958   \n",
+       "   3   POLYGON ((-73.55825046946977 45.53919425045505...        1960   \n",
+       "   4   POLYGON ((-73.56397487587984 45.52864208917265...        1975   \n",
+       "   5   POLYGON ((-73.55758634753211 45.50243737384532...        1957   \n",
+       "   6   POLYGON ((-73.57820492506315 45.49894758999734...        1949   \n",
+       "   7   POLYGON ((-73.66007080101322 45.50094603993671...        1966   \n",
+       "   8   POLYGON ((-73.62222758716909 45.49613704066468...        1960   \n",
+       "   9   POLYGON ((-73.55413560387004 45.50346557553381...        1950   \n",
+       "   10  POLYGON ((-73.57957007445908 45.50838294452070...        1967   \n",
+       "   11  POLYGON ((-73.56440767099359 45.53756434964050...        1948   \n",
+       "   12  POLYGON ((-73.63323269450582 45.53962664737069...        1968   \n",
+       "   13  POLYGON ((-73.5904568766805 45.48697594048769,...        1961   \n",
+       "   14  POLYGON ((-73.54526976471695 45.54341545093855...        1962   \n",
+       "   \n",
+       "       New_AspectRatio  New_SurfacetoVolumeRatio  \\\n",
+       "   0          1.333061                  0.111111   \n",
+       "   1          1.132672                  0.111111   \n",
+       "   2          1.532291                  0.052632   \n",
+       "   3          1.632378                  0.166667   \n",
+       "   4          1.277945                  0.083333   \n",
+       "   5          1.609286                  0.045455   \n",
+       "   6          1.228943                  0.038462   \n",
+       "   7          1.206257                  0.047619   \n",
+       "   8          1.269629                  0.040000   \n",
+       "   9          1.031895                  0.058824   \n",
+       "   10         1.844130                  0.066667   \n",
+       "   11         1.620162                  0.066667   \n",
+       "   12         1.132228                  0.100000   \n",
+       "   13         1.318996                  0.066667   \n",
+       "   14         1.907602                  0.125000   \n",
+       "   \n",
+       "                                    transformed_geometry  calculated_area  \\\n",
+       "   0   POLYGON ((606876.9976685488 5037664.758031219,...      1226.145241   \n",
+       "   1   POLYGON ((606342.2673215787 5040174.001387945,...      1112.201176   \n",
+       "   2   POLYGON ((611582.9120672415 5040399.041017741,...       759.764078   \n",
+       "   3   POLYGON ((612560.8949749094 5043861.777370337,...       744.891042   \n",
+       "   4   POLYGON ((612134.9517064813 5042681.449985145,...       639.529433   \n",
+       "   5   POLYGON ((612686.110769247 5039779.1335665835,...       526.660924   \n",
+       "   6   POLYGON ((611082.1884411386 5039362.70685405, ...       521.627460   \n",
+       "   7   POLYGON ((604682.4759150229 5039474.762596967,...       499.504595   \n",
+       "   8   POLYGON ((607648.1471643276 5038990.5211126, 6...       449.294853   \n",
+       "   9   POLYGON ((612953.6367656877 5039898.210903092,...       395.628050   \n",
+       "   10  POLYGON ((610956.9919979344 5040409.055599837,...       290.644573   \n",
+       "   11  POLYGON ((612083.4278777877 5043672.083135015,...       803.029798   \n",
+       "   12  POLYGON ((606706.0519526338 5043807.391859937,...       487.480059   \n",
+       "   13  POLYGON ((610148.3087703001 5038015.827116978,...       356.028888   \n",
+       "   14  POLYGON ((613565.8259565055 5044349.0280936705...       492.774002   \n",
+       "   \n",
+       "       YearGroup  Building_Size  Building_Floors    lod  \n",
+       "   0   1946-1979  Medium office         3 floors  lod_2  \n",
+       "   1   1946-1979  Medium office         3 floors  lod_2  \n",
+       "   2   1946-1979  Medium office       4-9 floors  lod_2  \n",
+       "   3   1946-1979  Medium office         2 floors  lod_2  \n",
+       "   4   1946-1979  Medium office         3 floors  lod_2  \n",
+       "   5   1946-1979  Medium office       4-9 floors  lod_2  \n",
+       "   6   1946-1979  Medium office       4-9 floors  lod_2  \n",
+       "   7   1946-1979  Medium office       4-9 floors  lod_2  \n",
+       "   8   1946-1979  Medium office       4-9 floors  lod_2  \n",
+       "   9   1946-1979  Medium office       4-9 floors  lod_2  \n",
+       "   10  1946-1979  Medium office       4-9 floors  lod_2  \n",
+       "   11  1946-1979  Medium office       4-9 floors   lod1  \n",
+       "   12  1946-1979  Medium office         3 floors   lod1  \n",
+       "   13  1946-1979  Medium office       4-9 floors   lod1  \n",
+       "   14  1946-1979  Medium office         2 floors   lod1  \n",
+       "   \n",
+       "   [15 rows x 32 columns],\n",
+       "   'Large Office':     OBJECTID   ID_UEV  CIVIQUE_DE  CIVIQUE_FI  \\\n",
+       "   0     171850  1091234         750         750   \n",
+       "   1     167145  1027838        1001        1001   \n",
+       "   2     220435  3114414        6635        6675   \n",
+       "   3     173226  1039192        1134        1140   \n",
+       "   4     178117  1039341         600         600   \n",
+       "   5     182441  1039393         555         555   \n",
+       "   6     215485  3007915        5881        5889   \n",
+       "   7     167564  1037885        1450        1480   \n",
+       "   8     130900  1036867        1235        1259   \n",
+       "   9     176246  1039389         625         625   \n",
+       "   10    174939  1013102        5025        5025   \n",
+       "   11    134769  1021583         176         182   \n",
+       "   12    183072  1039037        1100        1100   \n",
+       "   13    139063  1091425         407         407   \n",
+       "   14    181670  1011483         370         382   \n",
+       "   \n",
+       "                                       NOM_RUE  MUNICIPALI  CODE_UTILI  \\\n",
+       "   0            boulevard Saint-Laurent  (MTL)          50        6000   \n",
+       "   1             rue Sherbrooke Est  (MTE+MTL)          50        6000   \n",
+       "   2   chemin de la Côte-des-Neiges  (MTL+WMT)          50        6000   \n",
+       "   3     rue Sainte-Catherine Ouest  (MTL+WMT)          50        6000   \n",
+       "   4      boulevard René-Lévesque Ouest  (MTL)          50        6000   \n",
+       "   5      boulevard René-Lévesque Ouest  (MTL)          50        6000   \n",
+       "   6   chemin de la Côte-des-Neiges  (MTL+WMT)          50        6000   \n",
+       "   7               rue City Councillors  (MTL)          50        6000   \n",
+       "   8             rue du Square-Phillips  (MTL)          50        6000   \n",
+       "   9      boulevard René-Lévesque Ouest  (MTL)          50        6000   \n",
+       "   10      rue Sherbrooke Ouest  (MTL+MTO+WMT)          29        6000   \n",
+       "   11      rue Sainte-Catherine Est  (MTE+MTL)          50        6000   \n",
+       "   12      rue Sherbrooke Ouest  (MTL+MTO+WMT)          50        6000   \n",
+       "   13           boulevard Saint-Laurent  (MTL)          50        6000   \n",
+       "   14               avenue Victoria  (MTL+WMT)          29        6000   \n",
+       "   \n",
+       "               LIBELLE_UT CATEGORIE_  Hieght_LiD  ...  \\\n",
+       "   0   Immeuble à bureaux   Régulier          13  ...   \n",
+       "   1   Immeuble à bureaux   Régulier          32  ...   \n",
+       "   2   Immeuble à bureaux   Régulier          12  ...   \n",
+       "   3   Immeuble à bureaux   Régulier          64  ...   \n",
+       "   4   Immeuble à bureaux   Régulier          60  ...   \n",
+       "   5   Immeuble à bureaux   Régulier          51  ...   \n",
+       "   6   Immeuble à bureaux   Régulier          26  ...   \n",
+       "   7   Immeuble à bureaux   Régulier          42  ...   \n",
+       "   8   Immeuble à bureaux   Régulier          50  ...   \n",
+       "   9   Immeuble à bureaux   Régulier          63  ...   \n",
+       "   10  Immeuble à bureaux   Régulier          28  ...   \n",
+       "   11  Immeuble à bureaux   Régulier          33  ...   \n",
+       "   12  Immeuble à bureaux   Régulier          90  ...   \n",
+       "   13  Immeuble à bureaux   Régulier          42  ...   \n",
+       "   14  Immeuble à bureaux   Régulier          18  ...   \n",
+       "   \n",
+       "                                                geometry  ANNEE_CONS  \\\n",
+       "   0   POLYGON ((-73.55739342083305 45.50605013182419...        1959   \n",
+       "   1   POLYGON ((-73.56662327088972 45.52078534750578...        1968   \n",
+       "   2   POLYGON ((-73.63620873828002 45.50282689214234...        1957   \n",
+       "   3   POLYGON ((-73.57288948129026 45.49907641328189...        1962   \n",
+       "   4   POLYGON ((-73.56596428042313 45.50248517690128...        1948   \n",
+       "   5   POLYGON ((-73.56645506889387 45.50336774389326...        1968   \n",
+       "   6   POLYGON ((-73.63011769028529 45.50048884068311...        1975   \n",
+       "   7   POLYGON ((-73.56954347080132 45.50525034395701...        1960   \n",
+       "   8   POLYGON ((-73.56825567063206 45.50403546801945...        1949   \n",
+       "   9   POLYGON ((-73.56718839866326 45.50235627535277...        1972   \n",
+       "   10  POLYGON ((-73.60608198080122 45.47691153798965...        1968   \n",
+       "   11  POLYGON ((-73.56184006510043 45.51149110098873...        1946   \n",
+       "   12  POLYGON ((-73.57648967243153 45.50166074338065...        1962   \n",
+       "   13  POLYGON ((-73.55400128616463 45.50573930556803...        1954   \n",
+       "   14  POLYGON ((-73.60269960316268 45.47813447195835...        1958   \n",
+       "   \n",
+       "       New_AspectRatio  New_SurfacetoVolumeRatio  \\\n",
+       "   0          1.133422                  0.076923   \n",
+       "   1          1.311860                  0.031250   \n",
+       "   2          1.207847                  0.083333   \n",
+       "   3          1.629962                  0.015625   \n",
+       "   4          1.538790                  0.016667   \n",
+       "   5          0.878084                  0.019608   \n",
+       "   6          1.346727                  0.038462   \n",
+       "   7          1.602186                  0.023810   \n",
+       "   8          1.499645                  0.020000   \n",
+       "   9          1.422325                  0.015873   \n",
+       "   10         1.594823                  0.035714   \n",
+       "   11         1.639245                  0.030303   \n",
+       "   12         1.757268                  0.011111   \n",
+       "   13         1.523823                  0.023810   \n",
+       "   14         1.421178                  0.055556   \n",
+       "   \n",
+       "                                    transformed_geometry  calculated_area  \\\n",
+       "   0   POLYGON ((612693.972861362 5040180.769438937, ...      1994.883578   \n",
+       "   1   POLYGON ((611943.7318549854 5041804.893527669,...      1635.845523   \n",
+       "   2   POLYGON ((606543.1547130917 5039715.097853768,...      1586.435173   \n",
+       "   3   POLYGON ((611497.218441093 5039384.384051917, ...      1148.911686   \n",
+       "   4   POLYGON ((612031.50640383 5039772.723125552, 6...      1040.928939   \n",
+       "   5   POLYGON ((611991.4143332568 5039870.088786057,...      1005.375141   \n",
+       "   6   POLYGON ((607023.433317963 5039463.446818627, ...       950.032643   \n",
+       "   7   POLYGON ((611746.4175475077 5040074.937146756,...       937.541232   \n",
+       "   8   POLYGON ((611849.4256586437 5039941.761306372,...       892.910511   \n",
+       "   9   POLYGON ((611936.1301421806 5039756.695713626,...       891.933805   \n",
+       "   10  POLYGON ((608946.693363246 5036876.404229566, ...       827.257008   \n",
+       "   11  POLYGON ((612335.7839338137 5040779.012688461,...       595.551909   \n",
+       "   12  POLYGON ((611210.8549481747 5039666.502579652,...       559.622277   \n",
+       "   13  POLYGON ((612959.5815295058 5040151.003528641,...       521.805624   \n",
+       "   14  POLYGON ((609208.6916807801 5037016.859415274,...      1636.287677   \n",
+       "   \n",
+       "       YearGroup  Building_Size  Building_Floors    lod  \n",
+       "   0   1946-1979   Large office       4-9 floors  lod_2  \n",
+       "   1   1946-1979   Large office       4-9 floors  lod_2  \n",
+       "   2   1946-1979   Large office         3 floors  lod_2  \n",
+       "   3   1946-1979   Large office       10+ floors  lod_2  \n",
+       "   4   1946-1979   Large office       10+ floors  lod_2  \n",
+       "   5   1946-1979   Large office       10+ floors  lod_2  \n",
+       "   6   1946-1979   Large office       4-9 floors  lod_2  \n",
+       "   7   1946-1979   Large office       10+ floors  lod_2  \n",
+       "   8   1946-1979   Large office       10+ floors  lod_2  \n",
+       "   9   1946-1979   Large office       10+ floors  lod_2  \n",
+       "   10  1946-1979   Large office       4-9 floors  lod_2  \n",
+       "   11  1946-1979   Large office       4-9 floors  lod_2  \n",
+       "   12  1946-1979   Large office       10+ floors  lod_2  \n",
+       "   13  1946-1979   Large office       10+ floors  lod_2  \n",
+       "   14  1946-1979   Large office       4-9 floors   lod1  \n",
+       "   \n",
+       "   [15 rows x 32 columns],\n",
+       "   'Mega Office':     OBJECTID   ID_UEV  CIVIQUE_DE  CIVIQUE_FI  \\\n",
+       "   0     178192  1039420         895         945   \n",
+       "   1     178289  5018030         671         671   \n",
+       "   2     179656  1037923        1500        1500   \n",
+       "   3     133513  1040701        1420        1480   \n",
+       "   4     153364  5084007         390         400   \n",
+       "   5     173828  1002604        1440        1440   \n",
+       "   6     182158  1039032        1010        1010   \n",
+       "   7     175904  1039089        1120        1150   \n",
+       "   8     179764  1119274        2153        2157   \n",
+       "   9     178291  5018031        1050        1050   \n",
+       "   10    174573  1039043        1130        1140   \n",
+       "   11    139960  1125444         800         850   \n",
+       "   12    121733  5030912        6650        6650   \n",
+       "   13    225215  3073243        5705        5757   \n",
+       "   14    183349  1036686         500         500   \n",
+       "   \n",
+       "                                         NOM_RUE  MUNICIPALI  CODE_UTILI  \\\n",
+       "   0          rue De La Gauchetière Ouest  (MTL)          50        6000   \n",
+       "   1          rue De La Gauchetière Ouest  (MTL)          50        6000   \n",
+       "   2                   avenue Atwater  (MTL+WMT)          50        6000   \n",
+       "   3                      rue Saint-André  (MTL)          50        6000   \n",
+       "   4   boulevard De Maisonneuve Ouest  (MTL+WMT)          50        6000   \n",
+       "   5       rue Sainte-Catherine Ouest  (MTL+WMT)          50        6000   \n",
+       "   6         rue Sherbrooke Ouest  (MTL+MTO+WMT)          50        6000   \n",
+       "   7   boulevard De Maisonneuve Ouest  (MTL+WMT)          50        6000   \n",
+       "   8                              rue Guy  (MTL)          50        6000   \n",
+       "   9                  côte du Beaver Hall  (MTL)          50        6000   \n",
+       "   10        rue Sherbrooke Ouest  (MTL+MTO+WMT)          50        6000   \n",
+       "   11        boulevard De Maisonneuve Est  (MTL)          50        6000   \n",
+       "   12                    rue Saint-Urbain  (MTL)          50        6000   \n",
+       "   13                     avenue Decelles  (MTL)          50        6000   \n",
+       "   14                   rue Saint-Jacques  (MTL)          50        6000   \n",
+       "   \n",
+       "               LIBELLE_UT   CATEGORIE_  Hieght_LiD  ...  \\\n",
+       "   0   Immeuble à bureaux     Régulier         124  ...   \n",
+       "   1   Immeuble à bureaux     Régulier         115  ...   \n",
+       "   2   Immeuble à bureaux     Régulier          60  ...   \n",
+       "   3   Immeuble à bureaux     Régulier          71  ...   \n",
+       "   4   Immeuble à bureaux     Régulier          74  ...   \n",
+       "   5   Immeuble à bureaux     Régulier          55  ...   \n",
+       "   6   Immeuble à bureaux     Régulier          99  ...   \n",
+       "   7   Immeuble à bureaux     Régulier          61  ...   \n",
+       "   8   Immeuble à bureaux     Régulier          62  ...   \n",
+       "   9   Immeuble à bureaux     Régulier         115  ...   \n",
+       "   10  Immeuble à bureaux     Régulier          90  ...   \n",
+       "   11  Immeuble à bureaux  Condominium          71  ...   \n",
+       "   12  Immeuble à bureaux     Régulier          27  ...   \n",
+       "   13  Immeuble à bureaux     Régulier          46  ...   \n",
+       "   14  Immeuble à bureaux     Régulier          64  ...   \n",
+       "   \n",
+       "                                                geometry  ANNEE_CONS  \\\n",
+       "   0   POLYGON ((-73.56677118206272 45.49915835993093...        1960   \n",
+       "   1   POLYGON ((-73.5652270679744 45.50111564358618,...        1955   \n",
+       "   2   POLYGON ((-73.5858359745649 45.48992704030273,...        1976   \n",
+       "   3   POLYGON ((-73.55900626753417 45.51624424621497...        1962   \n",
+       "   4   POLYGON ((-73.56900458408712 45.50602637664158...        1956   \n",
+       "   5   POLYGON ((-73.57603562340557 45.49545583814017...        1950   \n",
+       "   6   POLYGON ((-73.57577597252353 45.50235444309189...        1976   \n",
+       "   7   POLYGON ((-73.57464793637715 45.49994133407191...        1969   \n",
+       "   8   POLYGON ((-73.58000127109773 45.49613461675315...        1954   \n",
+       "   9   POLYGON ((-73.56469415258647 45.50178555615618...        1955   \n",
+       "   10  POLYGON ((-73.57661690073697 45.50088271283501...        1976   \n",
+       "   11  POLYGON ((-73.55988292420858 45.51648100790149...        1974   \n",
+       "   12  POLYGON ((-73.61294308667703 45.52994944666332...        1965   \n",
+       "   13  POLYGON ((-73.62569138934313 45.50090434067484...        1956   \n",
+       "   14  POLYGON ((-73.55959011069022 45.50113955657902...        1961   \n",
+       "   \n",
+       "       New_AspectRatio  New_SurfacetoVolumeRatio  \\\n",
+       "   0          1.220460                  0.008065   \n",
+       "   1          1.249414                  0.008696   \n",
+       "   2          1.876337                  0.016667   \n",
+       "   3          1.511621                  0.014085   \n",
+       "   4          1.433542                  0.013514   \n",
+       "   5          1.565556                  0.018182   \n",
+       "   6          1.938792                  0.010101   \n",
+       "   7          1.534408                  0.016393   \n",
+       "   8          1.315942                  0.016129   \n",
+       "   9          1.588273                  0.008696   \n",
+       "   10         1.454550                  0.011111   \n",
+       "   11         1.940191                  0.014085   \n",
+       "   12         1.560881                  0.037037   \n",
+       "   13         1.979884                  0.021739   \n",
+       "   14         1.539694                  0.015625   \n",
+       "   \n",
+       "                                    transformed_geometry  calculated_area  \\\n",
+       "   0   POLYGON ((611975.0645617183 5039401.999938264,...     11559.862431   \n",
+       "   1   POLYGON ((612091.8178240093 5039621.601334781,...      4443.637252   \n",
+       "   2   POLYGON ((610503.6348668496 5038350.02987165, ...      3710.830785   \n",
+       "   3   POLYGON ((612547.656536874 5041311.040187758, ...      3366.820019   \n",
+       "   4   POLYGON ((611786.9786334637 5040161.9017706895...      2740.621213   \n",
+       "   5   POLYGON ((611258.5488737633 5038977.7880563205...      2630.086596   \n",
+       "   6   POLYGON ((611265.2454180204 5039744.55877995, ...      1791.180902   \n",
+       "   7   POLYGON ((611358.129088529 5039478.03409566, 6...      1678.201080   \n",
+       "   8   POLYGON ((610947.3689008835 5039047.712464998,...      1662.799810   \n",
+       "   9   POLYGON ((612132.12166533 5039696.770244822, 6...      1607.484999   \n",
+       "   10  POLYGON ((611202.4472751478 5039579.889886763,...      1364.441057   \n",
+       "   11  POLYGON ((612478.7144267029 5041336.1151902815...      8518.875644   \n",
+       "   12  POLYGON ((608308.6723362987 5042759.456950968,...      3320.393849   \n",
+       "   13  POLYGON ((607368.4515846446 5039515.5152563965...      1604.452991   \n",
+       "   14  POLYGON ((612532.1566944305 5039632.140936527,...      1746.691207   \n",
+       "   \n",
+       "       YearGroup  Building_Size  Building_Floors    lod  \n",
+       "   0   1946-1979    Mega office       10+ floors  lod_2  \n",
+       "   1   1946-1979    Mega office       10+ floors  lod_2  \n",
+       "   2   1946-1979    Mega office       10+ floors  lod_2  \n",
+       "   3   1946-1979    Mega office       10+ floors  lod_2  \n",
+       "   4   1946-1979    Mega office       10+ floors  lod_2  \n",
+       "   5   1946-1979    Mega office       10+ floors  lod_2  \n",
+       "   6   1946-1979    Mega office       10+ floors  lod_2  \n",
+       "   7   1946-1979    Mega office       10+ floors  lod_2  \n",
+       "   8   1946-1979    Mega office       10+ floors  lod_2  \n",
+       "   9   1946-1979    Mega office       10+ floors  lod_2  \n",
+       "   10  1946-1979    Mega office       10+ floors  lod_2  \n",
+       "   11  1946-1979    Mega office       10+ floors   lod1  \n",
+       "   12  1946-1979    Mega office       4-9 floors   lod1  \n",
+       "   13  1946-1979    Mega office       10+ floors   lod1  \n",
+       "   14  1946-1979    Mega office       10+ floors   lod1  \n",
+       "   \n",
+       "   [15 rows x 32 columns]},\n",
+       "  '1980-2010': {'Single-Use Office':    OBJECTID   ID_UEV  CIVIQUE_DE  CIVIQUE_FI                        NOM_RUE  \\\n",
+       "   0    267324  5058388         789         789  avenue George-Leclaire  (LCH)   \n",
+       "   \n",
+       "      MUNICIPALI  CODE_UTILI          LIBELLE_UT CATEGORIE_  Hieght_LiD  ...  \\\n",
+       "   0          50        6000  Immeuble à bureaux   Régulier           6  ...   \n",
+       "   \n",
+       "                                               geometry  ANNEE_CONS  \\\n",
+       "   0  POLYGON ((-73.65418 45.44259, -73.65416 45.442...        1992   \n",
+       "   \n",
+       "      New_AspectRatio  New_SurfacetoVolumeRatio  \\\n",
+       "   0         2.179745                  0.166667   \n",
+       "   \n",
+       "                                   transformed_geometry  calculated_area  \\\n",
+       "   0  POLYGON ((605251.624 5032999.762, 605252.440 5...       139.936227   \n",
+       "   \n",
+       "      YearGroup      Building_Size  Building_Floors   lod  \n",
+       "   0  1980-2010  Single use office         2 floors  lod1  \n",
+       "   \n",
+       "   [1 rows x 32 columns],\n",
+       "   'Small Office':    OBJECTID   ID_UEV  CIVIQUE_DE  CIVIQUE_FI  \\\n",
+       "   0    327974  4075129       10410       10410   \n",
+       "   1    267597  4129597        6695        6695   \n",
+       "   2    201347  1014180        2660        2670   \n",
+       "   \n",
+       "                                        NOM_RUE  MUNICIPALI  CODE_UTILI  \\\n",
+       "   0   boulevard Gouin Ouest  (MTL+PFD+ROX+SGV)          50        6000   \n",
+       "   1  boulevard Henri-Bourassa Ouest  (MTL+SLR)          50        6000   \n",
+       "   2                      rue Allard  (LSL+MTL)          50        6000   \n",
+       "   \n",
+       "              LIBELLE_UT   CATEGORIE_  Hieght_LiD  ...  \\\n",
+       "   0  Immeuble à bureaux     Régulier           7  ...   \n",
+       "   1  Immeuble à bureaux  Condominium          10  ...   \n",
+       "   2  Immeuble à bureaux     Régulier          10  ...   \n",
+       "   \n",
+       "                                               geometry  ANNEE_CONS  \\\n",
+       "   0  POLYGON ((-73.80540 45.51056, -73.80540 45.510...        1987   \n",
+       "   1  POLYGON ((-73.73344 45.51187, -73.73337 45.511...        1988   \n",
+       "   2  POLYGON ((-73.59642 45.45034, -73.59626 45.450...        1984   \n",
+       "   \n",
+       "      New_AspectRatio  New_SurfacetoVolumeRatio  \\\n",
+       "   0         1.513825                  0.142857   \n",
+       "   1         1.646953                  0.100000   \n",
+       "   2         1.308352                  0.100000   \n",
+       "   \n",
+       "                                   transformed_geometry  calculated_area  \\\n",
+       "   0  POLYGON ((593312.600 5040363.454, 593312.365 5...       274.004687   \n",
+       "   1  POLYGON ((598931.720 5040594.879, 598936.606 5...       220.722154   \n",
+       "   2  POLYGON ((609753.760 5033937.183, 609766.016 5...       204.838373   \n",
+       "   \n",
+       "      YearGroup  Building_Size  Building_Floors   lod  \n",
+       "   0  1980-2010   Small office         2 floors  lod1  \n",
+       "   1  1980-2010   Small office         3 floors  lod1  \n",
+       "   2  1980-2010   Small office         3 floors  lod1  \n",
+       "   \n",
+       "   [3 rows x 32 columns],\n",
+       "   'Medium Office':     OBJECTID   ID_UEV  CIVIQUE_DE  CIVIQUE_FI  \\\n",
+       "   0     179027  1124111        1801        1801   \n",
+       "   1     203212  3113583        6600        6610   \n",
+       "   2      85829  3037255        1290        1290   \n",
+       "   3     212428  1019483        1360        1360   \n",
+       "   4     139628  1125925        4211        4211   \n",
+       "   5      16479  2053462        5810        5810   \n",
+       "   6     261192  5010843        7200        7200   \n",
+       "   7     167327  1058901         205         205   \n",
+       "   8     258442  5070569        7150        7150   \n",
+       "   9      44117  2037197        7440        7460   \n",
+       "   10    261917  5075202        2650        2650   \n",
+       "   11    268352  5010842        7190        7190   \n",
+       "   12    225375  3057036        8250        8250   \n",
+       "   13    177498  5134624        4120        4120   \n",
+       "   14    325284  4154831        1870        1870   \n",
+       "   \n",
+       "                                            NOM_RUE  MUNICIPALI  CODE_UTILI  \\\n",
+       "   0      boulevard De Maisonneuve Ouest  (MTL+WMT)          50        6000   \n",
+       "   1               boulevard Décarie  (CSL+MTL+MTR)          50        6000   \n",
+       "   2                    avenue Van Horne  (MTL+OUT)          50        6000   \n",
+       "   3                              rue Ropery  (MTL)          50        6000   \n",
+       "   4                        rue Saint-Hubert  (MTL)          50        6000   \n",
+       "   5                  rue Sherbrooke Est  (MTE+MTL)          50        6000   \n",
+       "   6                   rue Frederick-Banting  (SLR)          50        6000   \n",
+       "   7                      avenue Viger Ouest  (MTL)          50        6000   \n",
+       "   8                     rue Albert-Einstein  (SLR)          50        6000   \n",
+       "   9          boulevard des Galeries-d'Anjou  (ANJ)          50        6000   \n",
+       "   10                     avenue Marie-Curie  (SLR)          50        6000   \n",
+       "   11                  rue Frederick-Banting  (SLR)          50        6000   \n",
+       "   12              boulevard Décarie  (CSL+MTL+MTR)          13        6000   \n",
+       "   13         rue Sainte-Catherine Ouest  (MTL+WMT)          29        6000   \n",
+       "   14  boulevard des Sources  (DDO+DVL+PCL+PFD+ROX)          20        6000   \n",
+       "   \n",
+       "               LIBELLE_UT   CATEGORIE_  Hieght_LiD  ...  \\\n",
+       "   0   Immeuble à bureaux     Régulier          10  ...   \n",
+       "   1   Immeuble à bureaux     Régulier          15  ...   \n",
+       "   2   Immeuble à bureaux     Régulier          16  ...   \n",
+       "   3   Immeuble à bureaux     Régulier           9  ...   \n",
+       "   4   Immeuble à bureaux  Condominium          13  ...   \n",
+       "   5   Immeuble à bureaux     Régulier          11  ...   \n",
+       "   6   Immeuble à bureaux  Condominium          14  ...   \n",
+       "   7   Immeuble à bureaux     Régulier          19  ...   \n",
+       "   8   Immeuble à bureaux  Condominium          12  ...   \n",
+       "   9   Immeuble à bureaux     Régulier          11  ...   \n",
+       "   10  Immeuble à bureaux  Condominium          11  ...   \n",
+       "   11  Immeuble à bureaux  Condominium          14  ...   \n",
+       "   12  Immeuble à bureaux     Régulier          23  ...   \n",
+       "   13  Immeuble à bureaux  Condominium          25  ...   \n",
+       "   14  Immeuble à bureaux     Régulier          19  ...   \n",
+       "   \n",
+       "                                                geometry  ANNEE_CONS  \\\n",
+       "   0   POLYGON ((-73.58095767331957 45.4943842413124,...        1993   \n",
+       "   1   POLYGON ((-73.64668699603806 45.49090103885997...        1989   \n",
+       "   2   POLYGON ((-73.61370708627129 45.52128674506126...        1988   \n",
+       "   3   POLYGON ((-73.56890502441921 45.48082230730978...        2002   \n",
+       "   4   POLYGON ((-73.5766032659309 45.523675566421794...        1993   \n",
+       "   5   POLYGON ((-73.5473230678987 45.5750938573426, ...        1987   \n",
+       "   6   POLYGON ((-73.76487613418715 45.48160043256487...        1999   \n",
+       "   7   POLYGON ((-73.56138886788602 45.505049144328, ...        1991   \n",
+       "   8   POLYGON ((-73.76347343386631 45.47994023231600...        2001   \n",
+       "   9   POLYGON ((-73.56539497548835 45.59735435950610...        1986   \n",
+       "   10  POLYGON ((-73.76680093499452 45.48433163397991...        2001   \n",
+       "   11  POLYGON ((-73.7649746334347 45.48097183211897,...        1997   \n",
+       "   12  POLYGON ((-73.66210878163226 45.49921010920558...        1989   \n",
+       "   13  POLYGON ((-73.58653226685232 45.48690261109837...        1989   \n",
+       "   14  POLYGON ((-73.78748483408236 45.46561993124313...        1988   \n",
+       "   \n",
+       "       New_AspectRatio  New_SurfacetoVolumeRatio  \\\n",
+       "   0          1.506196                  0.100000   \n",
+       "   1          1.455184                  0.066667   \n",
+       "   2          1.538533                  0.062500   \n",
+       "   3          1.415144                  0.111111   \n",
+       "   4          1.538853                  0.076923   \n",
+       "   5          1.223843                  0.090909   \n",
+       "   6          1.422249                  0.071429   \n",
+       "   7          1.511104                  0.052632   \n",
+       "   8          1.495792                  0.083333   \n",
+       "   9          2.462480                  0.090909   \n",
+       "   10         1.229901                  0.090909   \n",
+       "   11         1.252010                  0.071429   \n",
+       "   12         1.870468                  0.043478   \n",
+       "   13         1.579158                  0.040000   \n",
+       "   14         1.425908                  0.052632   \n",
+       "   \n",
+       "                                    transformed_geometry  calculated_area  \\\n",
+       "   0   POLYGON ((610876.079086744 5038851.93129249, 6...       972.527480   \n",
+       "   1   POLYGON ((605746.8902882279 5038376.329559771,...       720.531289   \n",
+       "   2   POLYGON ((608265.6344929121 5041796.025875833,...       521.752558   \n",
+       "   3   POLYGON ((611844.644534939 5037361.958550934, ...       794.049158   \n",
+       "   4   POLYGON ((611158.6248590824 5042112.121161514,...       243.564631   \n",
+       "   5   POLYGON ((613341.8099630269 5047865.519613761,...       621.770705   \n",
+       "   6   POLYGON ((596527.5864883608 5037194.273512984,...       940.493085   \n",
+       "   7   POLYGON ((612383.8485634913 5040063.963984749,...       924.804874   \n",
+       "   8   POLYGON ((596640.048896163 5037011.517583382, ...      1498.208847   \n",
+       "   9   POLYGON ((611887.5549522486 5050313.241688707,...      1401.770858   \n",
+       "   10  POLYGON ((596372.502088326 5037495.389339702, ...      1277.536183   \n",
+       "   11  POLYGON ((596520.9620682467 5037124.3199734455...       941.870693   \n",
+       "   12  POLYGON ((604526.470947227 5039279.252288045, ...       611.822730   \n",
+       "   13  POLYGON ((610455.1385598944 5038013.069239636,...       369.843819   \n",
+       "   14  POLYGON ((594787.4615525268 5035391.986285547,...       752.879035   \n",
+       "   \n",
+       "       YearGroup  Building_Size  Building_Floors    lod  \n",
+       "   0   1980-2010  Medium office         3 floors  lod_2  \n",
+       "   1   1980-2010  Medium office       4-9 floors  lod_2  \n",
+       "   2   1980-2010  Medium office       4-9 floors   lod1  \n",
+       "   3   1980-2010  Medium office         3 floors   lod1  \n",
+       "   4   1980-2010  Medium office       4-9 floors   lod1  \n",
+       "   5   1980-2010  Medium office         3 floors   lod1  \n",
+       "   6   1980-2010  Medium office       4-9 floors   lod1  \n",
+       "   7   1980-2010  Medium office       4-9 floors   lod1  \n",
+       "   8   1980-2010  Medium office         3 floors   lod1  \n",
+       "   9   1980-2010  Medium office         3 floors   lod1  \n",
+       "   10  1980-2010  Medium office         3 floors   lod1  \n",
+       "   11  1980-2010  Medium office       4-9 floors   lod1  \n",
+       "   12  1980-2010  Medium office       4-9 floors   lod1  \n",
+       "   13  1980-2010  Medium office       4-9 floors   lod1  \n",
+       "   14  1980-2010  Medium office       4-9 floors   lod1  \n",
+       "   \n",
+       "   [15 rows x 32 columns],\n",
+       "   'Large Office':     OBJECTID   ID_UEV  CIVIQUE_DE  CIVIQUE_FI  \\\n",
+       "   0     209268  5004127         400         400   \n",
+       "   1     225398  3005116        8200        8200   \n",
+       "   2     135921  1022077        1234        1234   \n",
+       "   3     173235  1039092        2000        2000   \n",
+       "   4     179135  5095808        1665        1675   \n",
+       "   5     131358  1039247        1023        1045   \n",
+       "   6      97722  3061683        1100        1100   \n",
+       "   7     171912  5034103        4201        4201   \n",
+       "   8      32433  2150757        5345        5345   \n",
+       "   9     122378  3110670         570         590   \n",
+       "   10     59895  2166333        2250        2300   \n",
+       "   11    213529  5197103        3711        3711   \n",
+       "   \n",
+       "                                     NOM_RUE  MUNICIPALI  CODE_UTILI  \\\n",
+       "   0                 rue de l' Église  (VRD)          50        6000   \n",
+       "   1        boulevard Décarie  (CSL+MTL+MTR)          50        6000   \n",
+       "   2                  avenue Papineau  (MTL)          50        6000   \n",
+       "   3                         rue Peel  (MTL)          50        6000   \n",
+       "   4   rue Sainte-Catherine Ouest  (MTL+WMT)          50        6000   \n",
+       "   5   rue Sainte-Catherine Ouest  (MTL+WMT)          50        6000   \n",
+       "   6              avenue Beaumont  (MTL+MTR)          13        6000   \n",
+       "   7              rue Ontario Est  (MTE+MTL)          50        6000   \n",
+       "   8   boulevard de l' Assomption  (MTL+SLN)          50        6000   \n",
+       "   9              avenue Beaumont  (MTL+MTR)          50        6000   \n",
+       "   10                  avenue Bennett  (MTL)          50        6000   \n",
+       "   11         rue Saint-Antoine Ouest  (MTL)          50        6000   \n",
+       "   \n",
+       "               LIBELLE_UT CATEGORIE_  Hieght_LiD  ...  \\\n",
+       "   0   Immeuble à bureaux   Régulier          16  ...   \n",
+       "   1   Immeuble à bureaux   Régulier          16  ...   \n",
+       "   2   Immeuble à bureaux   Régulier          11  ...   \n",
+       "   3   Immeuble à bureaux   Régulier          40  ...   \n",
+       "   4   Immeuble à bureaux   Régulier          17  ...   \n",
+       "   5   Immeuble à bureaux   Régulier          32  ...   \n",
+       "   6   Immeuble à bureaux   Régulier          24  ...   \n",
+       "   7   Immeuble à bureaux   Régulier          15  ...   \n",
+       "   8   Immeuble à bureaux   Régulier          14  ...   \n",
+       "   9   Immeuble à bureaux   Régulier          24  ...   \n",
+       "   10  Immeuble à bureaux   Régulier          13  ...   \n",
+       "   11  Immeuble à bureaux   Régulier          10  ...   \n",
+       "   \n",
+       "                                                geometry  ANNEE_CONS  \\\n",
+       "   0   POLYGON ((-73.5689511816173 45.46236637643918,...        1996   \n",
+       "   1   POLYGON ((-73.66216100026315 45.49872313945959...        1983   \n",
+       "   2   POLYGON ((-73.55195126602963 45.52226874752821...        2008   \n",
+       "   3   POLYGON ((-73.57551067164145 45.50036474364359...        1981   \n",
+       "   4   POLYGON ((-73.57930151616135 45.49397645522872...        2003   \n",
+       "   5   POLYGON ((-73.57295592010334 45.50014142951345...        1989   \n",
+       "   6   POLYGON ((-73.62275533184427 45.52278525110203...        1988   \n",
+       "   7   POLYGON ((-73.54079032800539 45.55122911835504...        2002   \n",
+       "   8   POLYGON ((-73.55809321690528 45.57334631470802...        1989   \n",
+       "   9   POLYGON ((-73.61944108841112 45.52669604621772...        1990   \n",
+       "   10  POLYGON ((-73.54201676507967 45.55602055351789...        1990   \n",
+       "   11  POLYGON ((-73.58665177517749 45.48165563988291...        2000   \n",
+       "   \n",
+       "       New_AspectRatio  New_SurfacetoVolumeRatio  \\\n",
+       "   0          1.644669                  0.062500   \n",
+       "   1          1.349919                  0.062500   \n",
+       "   2          1.761451                  0.090909   \n",
+       "   3          1.341770                  0.025000   \n",
+       "   4          1.267489                  0.058824   \n",
+       "   5          1.419701                  0.031250   \n",
+       "   6          1.615288                  0.041667   \n",
+       "   7          2.179756                  0.066667   \n",
+       "   8          1.363328                  0.071429   \n",
+       "   9          1.607990                  0.041667   \n",
+       "   10         1.381024                  0.076923   \n",
+       "   11         1.290376                  0.100000   \n",
+       "   \n",
+       "                                    transformed_geometry  calculated_area  \\\n",
+       "   0   POLYGON ((611877.553566296 5035311.513871142, ...      2499.249168   \n",
+       "   1   POLYGON ((604523.2923844293 5039225.083652967,...       745.739603   \n",
+       "   2   POLYGON ((613086.6082960789 5041990.256963171,...      1925.671764   \n",
+       "   3   POLYGON ((611289.8922891291 5039523.877589819,...      1771.620525   \n",
+       "   4   POLYGON ((611006.2828903463 5038808.915195713,...      1564.001764   \n",
+       "   5   POLYGON ((611489.9254000122 5039502.611432989,...       963.425613   \n",
+       "   6   POLYGON ((607556.1380011684 5041950.34361671, ...      1572.614752   \n",
+       "   7   POLYGON ((613899.734050712 5045223.454621597, ...      1878.007432   \n",
+       "   8   POLYGON ((612504.9870035402 5047656.208912808,...       308.880207   \n",
+       "   9   POLYGON ((607807.491972895 5042389.266777843, ...      1209.619867   \n",
+       "   10  POLYGON ((613794.3315099962 5045754.030956489,...      3099.343416   \n",
+       "   11  POLYGON ((610456.0549308382 5037429.986029164,...        60.661857   \n",
+       "   \n",
+       "       YearGroup  Building_Size  Building_Floors    lod  \n",
+       "   0   1980-2010   Large office       4-9 floors  lod_2  \n",
+       "   1   1980-2010   Large office       4-9 floors  lod_2  \n",
+       "   2   1980-2010   Large office         3 floors  lod_2  \n",
+       "   3   1980-2010   Large office       10+ floors  lod_2  \n",
+       "   4   1980-2010   Large office       4-9 floors  lod_2  \n",
+       "   5   1980-2010   Large office       4-9 floors  lod_2  \n",
+       "   6   1980-2010   Large office       4-9 floors   lod1  \n",
+       "   7   1980-2010   Large office       4-9 floors   lod1  \n",
+       "   8   1980-2010   Large office       4-9 floors   lod1  \n",
+       "   9   1980-2010   Large office       4-9 floors   lod1  \n",
+       "   10  1980-2010   Large office       4-9 floors   lod1  \n",
+       "   11  1980-2010   Large office         3 floors   lod1  \n",
+       "   \n",
+       "   [12 rows x 32 columns],\n",
+       "   'Mega Office':     OBJECTID   ID_UEV  CIVIQUE_DE  CIVIQUE_FI  \\\n",
+       "   0     133541  1039347         690         700   \n",
+       "   1     208292  5160821           1           1   \n",
+       "   2     139650  1103271        1600        1800   \n",
+       "   3     180302  5160820         100         100   \n",
+       "   4     164057  5022213        3510        3510   \n",
+       "   5     173956  1004145          75          75   \n",
+       "   6     180296  5227962        2200        2200   \n",
+       "   7     151359  1038848        2060        2082   \n",
+       "   8     181703  1039402        1010        1010   \n",
+       "   9     181142  1131225        1001        1001   \n",
+       "   10    228462  5064648        2341        2351   \n",
+       "   11    179006  5093741         801         801   \n",
+       "   12    103324  5029625        1110        1228   \n",
+       "   13     99694  3114402          75          75   \n",
+       "   14     99693  3114401          35          35   \n",
+       "   \n",
+       "                                         NOM_RUE  MUNICIPALI  CODE_UTILI  \\\n",
+       "   0        boulevard René-Lévesque Ouest  (MTL)          50        6000   \n",
+       "   1      carrefour Alexander-Graham-Bell  (VRD)          50        6000   \n",
+       "   2                avenue McGill College  (MTL)          50        6000   \n",
+       "   3             chemin de la Pointe-Nord  (VRD)          50        6000   \n",
+       "   4              boulevard Saint-Laurent  (MTL)          50        6000   \n",
+       "   5                            rue Queen  (MTL)          50        6000   \n",
+       "   6                        rue Mansfield  (MTL)          50        6000   \n",
+       "   7                           rue Aylmer  (MTL)          50        6000   \n",
+       "   8          rue De La Gauchetière Ouest  (MTL)          50        6000   \n",
+       "   9   boulevard De Maisonneuve Ouest  (MTL+WMT)          50        6000   \n",
+       "   10              boulevard Alfred-Nobel  (SLR)          50        6000   \n",
+       "   11                         rue Brennan  (MTL)          50        6000   \n",
+       "   12                 avenue Beaumont  (MTL+MTR)          13        6000   \n",
+       "   13               rue de Port-Royal Est  (MTL)          50        6000   \n",
+       "   14               rue de Port-Royal Est  (MTL)          50        6000   \n",
+       "   \n",
+       "               LIBELLE_UT   CATEGORIE_  Hieght_LiD  ...  \\\n",
+       "   0   Immeuble à bureaux     Régulier         124  ...   \n",
+       "   1   Immeuble à bureaux     Régulier          41  ...   \n",
+       "   2   Immeuble à bureaux  Condominium         137  ...   \n",
+       "   3   Immeuble à bureaux     Régulier          13  ...   \n",
+       "   4   Immeuble à bureaux  Condominium          24  ...   \n",
+       "   5   Immeuble à bureaux     Régulier          31  ...   \n",
+       "   6   Immeuble à bureaux  Condominium         130  ...   \n",
+       "   7   Immeuble à bureaux     Régulier          74  ...   \n",
+       "   8   Immeuble à bureaux     Régulier         159  ...   \n",
+       "   9   Immeuble à bureaux     Régulier          55  ...   \n",
+       "   10  Immeuble à bureaux     Régulier          29  ...   \n",
+       "   11  Immeuble à bureaux     Régulier          50  ...   \n",
+       "   12  Immeuble à bureaux     Régulier          21  ...   \n",
+       "   13  Immeuble à bureaux     Régulier          27  ...   \n",
+       "   14  Immeuble à bureaux     Régulier          27  ...   \n",
+       "   \n",
+       "                                                geometry  ANNEE_CONS  \\\n",
+       "   0   POLYGON ((-73.56786924137016 45.49964582133313...        1982   \n",
+       "   1   POLYGON ((-73.54103015904096 45.47384943970059...        2008   \n",
+       "   2   POLYGON ((-73.57167850067295 45.50149393823440...        1988   \n",
+       "   3   POLYGON ((-73.53912425755607 45.47125473890887...        2009   \n",
+       "   4   POLYGON ((-73.57191181046174 45.51325401329987...        1999   \n",
+       "   5   POLYGON ((-73.55464146535519 45.497689743548, ...        1997   \n",
+       "   6   POLYGON ((-73.57477497179171 45.50212844391705...        1991   \n",
+       "   7   POLYGON ((-73.57263784904288 45.50582849368832...        1986   \n",
+       "   8   POLYGON ((-73.56721499774251 45.49722707949039...        1986   \n",
+       "   9   POLYGON ((-73.5744576640607 45.501327194867635...        1982   \n",
+       "   10  POLYGON ((-73.76055413313755 45.48505413380298...        1999   \n",
+       "   11  POLYGON ((-73.55364526361751 45.49595444244143...        2003   \n",
+       "   12  POLYGON ((-73.6221002893429 45.52302804522754,...        1985   \n",
+       "   13  POLYGON ((-73.65643160286518 45.54771114889608...        1991   \n",
+       "   14  POLYGON ((-73.65700970340583 45.54677604770078...        1991   \n",
+       "   \n",
+       "       New_AspectRatio  New_SurfacetoVolumeRatio  \\\n",
+       "   0          1.218357                  0.008065   \n",
+       "   1          1.424668                  0.024390   \n",
+       "   2          1.720062                  0.007299   \n",
+       "   3          1.488110                  0.076923   \n",
+       "   4          1.696889                  0.041667   \n",
+       "   5          1.226572                  0.032258   \n",
+       "   6          1.434979                  0.007692   \n",
+       "   7          1.145779                  0.013514   \n",
+       "   8          1.346578                  0.006289   \n",
+       "   9          1.449853                  0.018182   \n",
+       "   10         0.531844                  0.034483   \n",
+       "   11         1.984568                  0.020000   \n",
+       "   12         1.012067                  0.047619   \n",
+       "   13         1.076433                  0.037037   \n",
+       "   14         1.144741                  0.037037   \n",
+       "   \n",
+       "                                    transformed_geometry  calculated_area  \\\n",
+       "   0   POLYGON ((611888.3101799758 5039454.624882763,...     16102.563884   \n",
+       "   1   POLYGON ((614037.214161252 5036626.483777831, ...     11332.763987   \n",
+       "   2   POLYGON ((611587.0530639703 5039654.6445714515...      6991.542634   \n",
+       "   3   POLYGON ((614191.4252624835 5036340.9296149835...      5435.837988   \n",
+       "   4   POLYGON ((611545.5915188933 5040960.825677617,...      4687.651392   \n",
+       "   5   POLYGON ((612925.6660590087 5039255.824603759,...      3038.365347   \n",
+       "   6   POLYGON ((611343.8923257443 5039720.838348828,...      4518.258615   \n",
+       "   7   POLYGON ((611503.5457287611 5040134.866490903,...      2763.047478   \n",
+       "   8   POLYGON ((611944.2178940533 5039186.822763102,...      2755.031002   \n",
+       "   9   POLYGON ((611370.2615557113 5039632.262290563,...      1327.349275   \n",
+       "   10  POLYGON ((596859.4399899625 5037583.1688656425...     15122.963586   \n",
+       "   11  POLYGON ((613006.9705716196 5039064.439924606,...      4261.286802   \n",
+       "   12  POLYGON ((607606.8305341923 5041978.19508377, ...      6537.714621   \n",
+       "   13  POLYGON ((604879.8397672278 5044674.978200446,...      2667.332305   \n",
+       "   14  POLYGON ((604836.4515496832 5044570.335454916,...      2656.868163   \n",
+       "   \n",
+       "       YearGroup  Building_Size  Building_Floors    lod  \n",
+       "   0   1980-2010    Mega office       10+ floors  lod_2  \n",
+       "   1   1980-2010    Mega office       10+ floors  lod_2  \n",
+       "   2   1980-2010    Mega office       10+ floors  lod_2  \n",
+       "   3   1980-2010    Mega office       4-9 floors  lod_2  \n",
+       "   4   1980-2010    Mega office       4-9 floors  lod_2  \n",
+       "   5   1980-2010    Mega office       4-9 floors  lod_2  \n",
+       "   6   1980-2010    Mega office       10+ floors  lod_2  \n",
+       "   7   1980-2010    Mega office       10+ floors  lod_2  \n",
+       "   8   1980-2010    Mega office       10+ floors  lod_2  \n",
+       "   9   1980-2010    Mega office       10+ floors  lod_2  \n",
+       "   10  1980-2010    Mega office       4-9 floors   lod1  \n",
+       "   11  1980-2010    Mega office       10+ floors   lod1  \n",
+       "   12  1980-2010    Mega office       4-9 floors   lod1  \n",
+       "   13  1980-2010    Mega office       4-9 floors   lod1  \n",
+       "   14  1980-2010    Mega office       4-9 floors   lod1  \n",
+       "   \n",
+       "   [15 rows x 32 columns]},\n",
+       "  '2011-2024': {'Single-Use Office': Empty DataFrame\n",
+       "   Columns: [OBJECTID, ID_UEV, CIVIQUE_DE, CIVIQUE_FI, NOM_RUE, MUNICIPALI, CODE_UTILI, LIBELLE_UT, CATEGORIE_, Hieght_LiD, AREA_NEW, MBG_Width, MBG_Length, MBG_Orientation, Shape_Length, Shape_Area, BuildingCategory, BuildingVolume, FloorNu_RawTax, FloorNu_RawTax.1, Floor_frmHieght, TotalFloorArea, geometry, ANNEE_CONS, New_AspectRatio, New_SurfacetoVolumeRatio, transformed_geometry, calculated_area, YearGroup, Building_Size, Building_Floors, lod]\n",
+       "   Index: []\n",
+       "   \n",
+       "   [0 rows x 32 columns],\n",
+       "   'Small Office': Empty DataFrame\n",
+       "   Columns: [OBJECTID, ID_UEV, CIVIQUE_DE, CIVIQUE_FI, NOM_RUE, MUNICIPALI, CODE_UTILI, LIBELLE_UT, CATEGORIE_, Hieght_LiD, AREA_NEW, MBG_Width, MBG_Length, MBG_Orientation, Shape_Length, Shape_Area, BuildingCategory, BuildingVolume, FloorNu_RawTax, FloorNu_RawTax.1, Floor_frmHieght, TotalFloorArea, geometry, ANNEE_CONS, New_AspectRatio, New_SurfacetoVolumeRatio, transformed_geometry, calculated_area, YearGroup, Building_Size, Building_Floors, lod]\n",
+       "   Index: []\n",
+       "   \n",
+       "   [0 rows x 32 columns],\n",
+       "   'Medium Office': Empty DataFrame\n",
+       "   Columns: [OBJECTID, ID_UEV, CIVIQUE_DE, CIVIQUE_FI, NOM_RUE, MUNICIPALI, CODE_UTILI, LIBELLE_UT, CATEGORIE_, Hieght_LiD, AREA_NEW, MBG_Width, MBG_Length, MBG_Orientation, Shape_Length, Shape_Area, BuildingCategory, BuildingVolume, FloorNu_RawTax, FloorNu_RawTax.1, Floor_frmHieght, TotalFloorArea, geometry, ANNEE_CONS, New_AspectRatio, New_SurfacetoVolumeRatio, transformed_geometry, calculated_area, YearGroup, Building_Size, Building_Floors, lod]\n",
+       "   Index: []\n",
+       "   \n",
+       "   [0 rows x 32 columns],\n",
+       "   'Large Office':    OBJECTID   ID_UEV  CIVIQUE_DE  CIVIQUE_FI                         NOM_RUE  \\\n",
+       "   0     83269  3078601        7180        7180              rue Marconi  (MTL)   \n",
+       "   1    158401  1058718        1200        1200  boulevard Saint-Laurent  (MTL)   \n",
+       "   2    120247  3043070        7260        7272         rue Saint-Urbain  (MTL)   \n",
+       "   \n",
+       "      MUNICIPALI  CODE_UTILI          LIBELLE_UT CATEGORIE_  Hieght_LiD  ...  \\\n",
+       "   0          50        6000  Immeuble à bureaux   Régulier          24  ...   \n",
+       "   1          50        6000  Immeuble à bureaux   Régulier          28  ...   \n",
+       "   2          50        6000  Immeuble à bureaux   Régulier          10  ...   \n",
+       "   \n",
+       "                                               geometry  ANNEE_CONS  \\\n",
+       "   0  POLYGON ((-73.62014 45.53133, -73.62018 45.531...        2022   \n",
+       "   1  POLYGON ((-73.56346 45.50921, -73.56320 45.509...        2019   \n",
+       "   2  POLYGON ((-73.62040 45.53376, -73.62032 45.533...        2021   \n",
+       "   \n",
+       "      New_AspectRatio  New_SurfacetoVolumeRatio  \\\n",
+       "   0         1.923291                  0.041667   \n",
+       "   1         1.529147                  0.035714   \n",
+       "   2         1.581862                  0.100000   \n",
+       "   \n",
+       "                                   transformed_geometry  calculated_area  \\\n",
+       "   0  POLYGON ((607744.096 5042903.231, 607741.124 5...      1241.035434   \n",
+       "   1  POLYGON ((612213.426 5040523.809, 612233.230 5...      1501.329998   \n",
+       "   2  POLYGON ((607718.800 5043173.020, 607725.011 5...      1560.115861   \n",
+       "   \n",
+       "      YearGroup  Building_Size  Building_Floors   lod  \n",
+       "   0  2021-2024   Large office       4-9 floors  lod1  \n",
+       "   1  2018-2020   Large office       4-9 floors  lod1  \n",
+       "   2  2021-2024   Large office         3 floors  lod1  \n",
+       "   \n",
+       "   [3 rows x 32 columns],\n",
+       "   'Mega Office': Empty DataFrame\n",
+       "   Columns: [OBJECTID, ID_UEV, CIVIQUE_DE, CIVIQUE_FI, NOM_RUE, MUNICIPALI, CODE_UTILI, LIBELLE_UT, CATEGORIE_, Hieght_LiD, AREA_NEW, MBG_Width, MBG_Length, MBG_Orientation, Shape_Length, Shape_Area, BuildingCategory, BuildingVolume, FloorNu_RawTax, FloorNu_RawTax.1, Floor_frmHieght, TotalFloorArea, geometry, ANNEE_CONS, New_AspectRatio, New_SurfacetoVolumeRatio, transformed_geometry, calculated_area, YearGroup, Building_Size, Building_Floors, lod]\n",
+       "   Index: []\n",
+       "   \n",
+       "   [0 rows x 32 columns]}}}"
+      ]
+     },
+     "execution_count": 33,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sampled_buildings_dict"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## selection buildings"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
    "metadata": {},
    "outputs": [
     {
@@ -2832,17 +6813,121 @@
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1040745</td>\n",
+       "      <td>901</td>\n",
+       "      <td>925</td>\n",
+       "      <td>rue Sainte-Catherine Est  (MTE+MTL)</td>\n",
+       "      <td>23080</td>\n",
+       "      <td>2883.820827</td>\n",
+       "      <td>4-9 floors</td>\n",
+       "      <td>lod_2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1039129</td>\n",
+       "      <td>450</td>\n",
+       "      <td>474</td>\n",
+       "      <td>rue Sainte-Catherine Ouest  (MTL+WMT)</td>\n",
+       "      <td>25380</td>\n",
+       "      <td>2537.666995</td>\n",
+       "      <td>10+ floors</td>\n",
+       "      <td>lod_2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1037399</td>\n",
+       "      <td>1408</td>\n",
+       "      <td>1420</td>\n",
+       "      <td>rue Drummond  (MTL)</td>\n",
+       "      <td>19503</td>\n",
+       "      <td>1772.328410</td>\n",
+       "      <td>10+ floors</td>\n",
+       "      <td>lod_2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1002471</td>\n",
+       "      <td>1425</td>\n",
+       "      <td>1425</td>\n",
+       "      <td>boulevard René-Lévesque Ouest  (MTL)</td>\n",
+       "      <td>20397</td>\n",
+       "      <td>1568.971468</td>\n",
+       "      <td>10+ floors</td>\n",
+       "      <td>lod_2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1004500</td>\n",
+       "      <td>1613</td>\n",
+       "      <td>1615</td>\n",
+       "      <td>rue William  (MTL)</td>\n",
+       "      <td>30745</td>\n",
+       "      <td>6147.545485</td>\n",
+       "      <td>4-9 floors</td>\n",
+       "      <td>lod1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>1004526</td>\n",
+       "      <td>643</td>\n",
+       "      <td>649</td>\n",
+       "      <td>rue Wellington  (MTL+VRD)</td>\n",
+       "      <td>31104</td>\n",
+       "      <td>3455.225894</td>\n",
+       "      <td>4-9 floors</td>\n",
+       "      <td>lod1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>1091271</td>\n",
+       "      <td>501</td>\n",
+       "      <td>507</td>\n",
+       "      <td>place d' Armes  (MTL)</td>\n",
+       "      <td>27576</td>\n",
+       "      <td>52.323331</td>\n",
+       "      <td>10+ floors</td>\n",
+       "      <td>lod1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>5082065</td>\n",
+       "      <td>405</td>\n",
+       "      <td>435</td>\n",
+       "      <td>rue Saint-Antoine Ouest  (MTL)</td>\n",
+       "      <td>22967</td>\n",
+       "      <td>1350.463814</td>\n",
+       "      <td>10+ floors</td>\n",
+       "      <td>lod1</td>\n",
+       "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "Empty DataFrame\n",
-       "Columns: [ID_UEV, CIVIQUE_DE, CIVIQUE_FI, NOM_RUE, TotalFloorArea, calculated_area, Building_Floors, lod]\n",
-       "Index: []"
+       "    ID_UEV  CIVIQUE_DE  CIVIQUE_FI                                NOM_RUE  \\\n",
+       "0  1040745         901         925    rue Sainte-Catherine Est  (MTE+MTL)   \n",
+       "1  1039129         450         474  rue Sainte-Catherine Ouest  (MTL+WMT)   \n",
+       "2  1037399        1408        1420                    rue Drummond  (MTL)   \n",
+       "3  1002471        1425        1425   boulevard René-Lévesque Ouest  (MTL)   \n",
+       "4  1004500        1613        1615                     rue William  (MTL)   \n",
+       "5  1004526         643         649              rue Wellington  (MTL+VRD)   \n",
+       "6  1091271         501         507                  place d' Armes  (MTL)   \n",
+       "7  5082065         405         435         rue Saint-Antoine Ouest  (MTL)   \n",
+       "\n",
+       "   TotalFloorArea  calculated_area Building_Floors    lod  \n",
+       "0           23080      2883.820827      4-9 floors  lod_2  \n",
+       "1           25380      2537.666995      10+ floors  lod_2  \n",
+       "2           19503      1772.328410      10+ floors  lod_2  \n",
+       "3           20397      1568.971468      10+ floors  lod_2  \n",
+       "4           30745      6147.545485      4-9 floors   lod1  \n",
+       "5           31104      3455.225894      4-9 floors   lod1  \n",
+       "6           27576        52.323331      10+ floors   lod1  \n",
+       "7           22967      1350.463814      10+ floors   lod1  "
       ]
      },
-     "execution_count": 76,
+     "execution_count": 50,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2856,25 +6941,25 @@
     "    'Mega Office': (18581, float('inf'))\n",
     "}\n",
     "\n",
-    "sampled_buildings_dict['detached']['2011-2024']['Single-Use Office'][['ID_UEV','CIVIQUE_DE','CIVIQUE_FI','NOM_RUE','TotalFloorArea','calculated_area','Building_Floors','lod']] \n",
+    "sampled_buildings_dict['fully_attached']['1800-1945']['Mega Office'][['ID_UEV','CIVIQUE_DE','CIVIQUE_FI','NOM_RUE','TotalFloorArea','calculated_area','Building_Floors','lod']] \n",
     " "
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "there are 14 buildings in the filtered dataframe\n"
+      "there are 6 buildings in the filtered dataframe\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1500x500 with 1 Axes>"
       ]
@@ -2901,7 +6986,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 71,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
@@ -2910,7 +6995,7 @@
        "Text(0.5, 1.0, 'Correlation between Area and Calculated Area')"
       ]
      },
-     "execution_count": 71,
+     "execution_count": 24,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -2937,7 +7022,349 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# next steps are to merge the LoD1 and LoD2 and select the offices"
+    "## selection attached buildings"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Index(['OBJECTID', 'ID_UEV', 'CIVIQUE_DE', 'CIVIQUE_FI', 'NOM_RUE',\n",
+       "       'MUNICIPALI', 'CODE_UTILI', 'LIBELLE_UT', 'CATEGORIE_', 'Hieght_LiD',\n",
+       "       'AREA_NEW', 'MBG_Width', 'MBG_Length', 'MBG_Orientation',\n",
+       "       'Shape_Length', 'Shape_Area', 'BuildingCategory', 'BuildingVolume',\n",
+       "       'FloorNu_RawTax', 'FloorNu_RawTax.1', 'Floor_frmHieght',\n",
+       "       'TotalFloorArea', 'geometry', 'ANNEE_CONS', 'New_AspectRatio',\n",
+       "       'New_SurfacetoVolumeRatio', 'transformed_geometry', 'calculated_area',\n",
+       "       'YearGroup', 'Building_Size', 'Building_Floors', 'lod'],\n",
+       "      dtype='object')"
+      ]
+     },
+     "execution_count": 43,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sampled_buildings_dict['detached']['1800-1945']['Single-Use Office'].columns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "there are 12 buildings in the filtered dataframe\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>AREA_NEW</th>\n",
+       "      <th>ID_UEV</th>\n",
+       "      <th>CIVIQUE_DE</th>\n",
+       "      <th>CIVIQUE_FI</th>\n",
+       "      <th>NOM_RUE</th>\n",
+       "      <th>Shape_Area</th>\n",
+       "      <th>calculated_area</th>\n",
+       "      <th>YearGroup</th>\n",
+       "      <th>Building_Size</th>\n",
+       "      <th>Building_Floors</th>\n",
+       "      <th>lod</th>\n",
+       "      <th>TotalFloorArea</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>143</td>\n",
+       "      <td>1036925</td>\n",
+       "      <td>2008</td>\n",
+       "      <td>2010</td>\n",
+       "      <td>rue Mackay  (MTL)</td>\n",
+       "      <td>183</td>\n",
+       "      <td>142.802691</td>\n",
+       "      <td>1800-1945</td>\n",
+       "      <td>Single use office</td>\n",
+       "      <td>3 floors</td>\n",
+       "      <td>lod_2</td>\n",
+       "      <td>429</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>117</td>\n",
+       "      <td>1036915</td>\n",
+       "      <td>2060</td>\n",
+       "      <td>2060</td>\n",
+       "      <td>rue Mackay  (MTL)</td>\n",
+       "      <td>119</td>\n",
+       "      <td>116.490061</td>\n",
+       "      <td>1800-1945</td>\n",
+       "      <td>Single use office</td>\n",
+       "      <td>3 floors</td>\n",
+       "      <td>lod_2</td>\n",
+       "      <td>351</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>106</td>\n",
+       "      <td>1036921</td>\n",
+       "      <td>2030</td>\n",
+       "      <td>2030</td>\n",
+       "      <td>rue Mackay  (MTL)</td>\n",
+       "      <td>108</td>\n",
+       "      <td>106.400838</td>\n",
+       "      <td>1800-1945</td>\n",
+       "      <td>Single use office</td>\n",
+       "      <td>3 floors</td>\n",
+       "      <td>lod_2</td>\n",
+       "      <td>318</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>106</td>\n",
+       "      <td>1036923</td>\n",
+       "      <td>2020</td>\n",
+       "      <td>2020</td>\n",
+       "      <td>rue Mackay  (MTL)</td>\n",
+       "      <td>108</td>\n",
+       "      <td>105.945579</td>\n",
+       "      <td>1800-1945</td>\n",
+       "      <td>Single use office</td>\n",
+       "      <td>3 floors</td>\n",
+       "      <td>lod1</td>\n",
+       "      <td>318</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>97</td>\n",
+       "      <td>1010717</td>\n",
+       "      <td>4635</td>\n",
+       "      <td>4635</td>\n",
+       "      <td>rue Sherbrooke Ouest  (MTL+MTO+WMT)</td>\n",
+       "      <td>122</td>\n",
+       "      <td>96.913628</td>\n",
+       "      <td>1800-1945</td>\n",
+       "      <td>Single use office</td>\n",
+       "      <td>2 floors</td>\n",
+       "      <td>lod1</td>\n",
+       "      <td>194</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>131</td>\n",
+       "      <td>1037607</td>\n",
+       "      <td>3467</td>\n",
+       "      <td>3467</td>\n",
+       "      <td>rue Peel  (MTL)</td>\n",
+       "      <td>132</td>\n",
+       "      <td>130.751907</td>\n",
+       "      <td>1800-1945</td>\n",
+       "      <td>Single use office</td>\n",
+       "      <td>3 floors</td>\n",
+       "      <td>lod1</td>\n",
+       "      <td>393</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>124</td>\n",
+       "      <td>1003413</td>\n",
+       "      <td>1241</td>\n",
+       "      <td>1243</td>\n",
+       "      <td>rue Saint-Hubert  (MTL)</td>\n",
+       "      <td>137</td>\n",
+       "      <td>124.451621</td>\n",
+       "      <td>1800-1945</td>\n",
+       "      <td>Single use office</td>\n",
+       "      <td>3 floors</td>\n",
+       "      <td>lod1</td>\n",
+       "      <td>372</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>107</td>\n",
+       "      <td>1010768</td>\n",
+       "      <td>4484</td>\n",
+       "      <td>4484</td>\n",
+       "      <td>rue Sherbrooke Ouest  (MTL+MTO+WMT)</td>\n",
+       "      <td>119</td>\n",
+       "      <td>107.344803</td>\n",
+       "      <td>1800-1945</td>\n",
+       "      <td>Single use office</td>\n",
+       "      <td>3 floors</td>\n",
+       "      <td>lod1</td>\n",
+       "      <td>321</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>119</td>\n",
+       "      <td>1036917</td>\n",
+       "      <td>2050</td>\n",
+       "      <td>2052</td>\n",
+       "      <td>rue Mackay  (MTL)</td>\n",
+       "      <td>167</td>\n",
+       "      <td>118.992284</td>\n",
+       "      <td>1800-1945</td>\n",
+       "      <td>Single use office</td>\n",
+       "      <td>3 floors</td>\n",
+       "      <td>lod1</td>\n",
+       "      <td>357</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>134</td>\n",
+       "      <td>1036798</td>\n",
+       "      <td>2140</td>\n",
+       "      <td>2140</td>\n",
+       "      <td>rue Bishop  (MTL)</td>\n",
+       "      <td>172</td>\n",
+       "      <td>133.812163</td>\n",
+       "      <td>1800-1945</td>\n",
+       "      <td>Single use office</td>\n",
+       "      <td>3 floors</td>\n",
+       "      <td>lod1</td>\n",
+       "      <td>402</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>126</td>\n",
+       "      <td>1025003</td>\n",
+       "      <td>4517</td>\n",
+       "      <td>4519</td>\n",
+       "      <td>rue Saint-Denis  (MTL)</td>\n",
+       "      <td>145</td>\n",
+       "      <td>125.497736</td>\n",
+       "      <td>1800-1945</td>\n",
+       "      <td>Single use office</td>\n",
+       "      <td>3 floors</td>\n",
+       "      <td>lod1</td>\n",
+       "      <td>378</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>120</td>\n",
+       "      <td>1013114</td>\n",
+       "      <td>4927</td>\n",
+       "      <td>4927</td>\n",
+       "      <td>rue Sherbrooke Ouest  (MTL+MTO+WMT)</td>\n",
+       "      <td>142</td>\n",
+       "      <td>120.122615</td>\n",
+       "      <td>1800-1945</td>\n",
+       "      <td>Single use office</td>\n",
+       "      <td>3 floors</td>\n",
+       "      <td>lod1</td>\n",
+       "      <td>360</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    AREA_NEW   ID_UEV  CIVIQUE_DE  CIVIQUE_FI  \\\n",
+       "0        143  1036925        2008        2010   \n",
+       "1        117  1036915        2060        2060   \n",
+       "2        106  1036921        2030        2030   \n",
+       "3        106  1036923        2020        2020   \n",
+       "4         97  1010717        4635        4635   \n",
+       "5        131  1037607        3467        3467   \n",
+       "6        124  1003413        1241        1243   \n",
+       "7        107  1010768        4484        4484   \n",
+       "8        119  1036917        2050        2052   \n",
+       "9        134  1036798        2140        2140   \n",
+       "10       126  1025003        4517        4519   \n",
+       "11       120  1013114        4927        4927   \n",
+       "\n",
+       "                                NOM_RUE  Shape_Area  calculated_area  \\\n",
+       "0                     rue Mackay  (MTL)         183       142.802691   \n",
+       "1                     rue Mackay  (MTL)         119       116.490061   \n",
+       "2                     rue Mackay  (MTL)         108       106.400838   \n",
+       "3                     rue Mackay  (MTL)         108       105.945579   \n",
+       "4   rue Sherbrooke Ouest  (MTL+MTO+WMT)         122        96.913628   \n",
+       "5                       rue Peel  (MTL)         132       130.751907   \n",
+       "6               rue Saint-Hubert  (MTL)         137       124.451621   \n",
+       "7   rue Sherbrooke Ouest  (MTL+MTO+WMT)         119       107.344803   \n",
+       "8                     rue Mackay  (MTL)         167       118.992284   \n",
+       "9                     rue Bishop  (MTL)         172       133.812163   \n",
+       "10               rue Saint-Denis  (MTL)         145       125.497736   \n",
+       "11  rue Sherbrooke Ouest  (MTL+MTO+WMT)         142       120.122615   \n",
+       "\n",
+       "    YearGroup      Building_Size Building_Floors    lod  TotalFloorArea  \n",
+       "0   1800-1945  Single use office        3 floors  lod_2             429  \n",
+       "1   1800-1945  Single use office        3 floors  lod_2             351  \n",
+       "2   1800-1945  Single use office        3 floors  lod_2             318  \n",
+       "3   1800-1945  Single use office        3 floors   lod1             318  \n",
+       "4   1800-1945  Single use office        2 floors   lod1             194  \n",
+       "5   1800-1945  Single use office        3 floors   lod1             393  \n",
+       "6   1800-1945  Single use office        3 floors   lod1             372  \n",
+       "7   1800-1945  Single use office        3 floors   lod1             321  \n",
+       "8   1800-1945  Single use office        3 floors   lod1             357  \n",
+       "9   1800-1945  Single use office        3 floors   lod1             402  \n",
+       "10  1800-1945  Single use office        3 floors   lod1             378  \n",
+       "11  1800-1945  Single use office        3 floors   lod1             360  "
+      ]
+     },
+     "execution_count": 45,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "get_filtered_buildings(sampled_buildings_dict, 'fully_attached', '1800-1945', 'Single-Use Office')[['AREA_NEW','ID_UEV', 'CIVIQUE_DE', 'CIVIQUE_FI', 'NOM_RUE','Shape_Area','calculated_area',\n",
+    "       'YearGroup', 'Building_Size', 'Building_Floors', 'lod','TotalFloorArea']]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# merge LoD1 and LoD2 (archived)"
    ]
   },
   {
@@ -6010,7 +10437,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.5"
+   "version": "3.12.3"
   }
  },
  "nbformat": 4,
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