{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "777ee8d3-6725-43e0-a45f-5e7ead0aa26f",
   "metadata": {},
   "source": [
    "# Social Vulnerability Ireland - Calculate Vulnerability"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "45124731-302e-4184-9a4d-e57e2048a172",
   "metadata": {},
   "source": [
    "## Environment"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8b82a2d0-2ab4-4452-ae11-0cfb7ed631d5",
   "metadata": {},
   "source": [
    "### R Libraries\n",
    "The relvant R libraries are imported in to the kernal:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "6093e58a",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Loading required package: pacman\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1] \"Loaded Packages:\"\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<style>\n",
       ".list-inline {list-style: none; margin:0; padding: 0}\n",
       ".list-inline>li {display: inline-block}\n",
       ".list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n",
       "</style>\n",
       "<ol class=list-inline><li>'lubridate'</li><li>'forcats'</li><li>'stringr'</li><li>'dplyr'</li><li>'purrr'</li><li>'readr'</li><li>'tidyr'</li><li>'tibble'</li><li>'ggplot2'</li><li>'tidyverse'</li><li>'sf'</li><li>'pacman'</li></ol>\n"
      ],
      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item 'lubridate'\n",
       "\\item 'forcats'\n",
       "\\item 'stringr'\n",
       "\\item 'dplyr'\n",
       "\\item 'purrr'\n",
       "\\item 'readr'\n",
       "\\item 'tidyr'\n",
       "\\item 'tibble'\n",
       "\\item 'ggplot2'\n",
       "\\item 'tidyverse'\n",
       "\\item 'sf'\n",
       "\\item 'pacman'\n",
       "\\end{enumerate*}\n"
      ],
      "text/markdown": [
       "1. 'lubridate'\n",
       "2. 'forcats'\n",
       "3. 'stringr'\n",
       "4. 'dplyr'\n",
       "5. 'purrr'\n",
       "6. 'readr'\n",
       "7. 'tidyr'\n",
       "8. 'tibble'\n",
       "9. 'ggplot2'\n",
       "10. 'tidyverse'\n",
       "11. 'sf'\n",
       "12. 'pacman'\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       " [1] \"lubridate\" \"forcats\"   \"stringr\"   \"dplyr\"     \"purrr\"     \"readr\"    \n",
       " [7] \"tidyr\"     \"tibble\"    \"ggplot2\"   \"tidyverse\" \"sf\"        \"pacman\"   "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Load R libraries\n",
    "if(!require(\"pacman\"))\n",
    "    install.packages(\"pacman\")\n",
    "\n",
    "p_load(\"sf\", \"tidyverse\")\n",
    "\n",
    "print(\"Loaded Packages:\")\n",
    "p_loaded()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5e566f14-5f10-4d08-a5ee-8c4dea1661d0",
   "metadata": {},
   "source": [
    "### Output directory"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "463b1703-15a6-4d3d-aa21-7096505d2ec4",
   "metadata": {},
   "outputs": [],
   "source": [
    "# create the output directory if it does not exist\n",
    "output_dir <- file.path(\"../..\",\"3_outputs\",\"Ireland\",\"2022\")\n",
    "if(!dir.exists(output_dir)){\n",
    "    dir.create(output_dir, recursive = TRUE)\n",
    "    print(paste0(output_dir, \" created\"))\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "65901706-93e1-4751-9b51-ea78fac0c315",
   "metadata": {},
   "source": [
    "### Set the GUID"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "417fd52a-4662-4d2d-9c69-32785c35d49c",
   "metadata": {},
   "outputs": [],
   "source": [
    "GUID <- \"SA_GUID__1\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4919bacb-e14d-455f-8550-aefaa84572fe",
   "metadata": {},
   "source": [
    "## Load Data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "799416fe-aeea-43a2-9ea5-d7a39695d913",
   "metadata": {},
   "source": [
    "### Import the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "38e1c16d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 26</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>SA_GUID__1</th><th scope=col>early_childhood</th><th scope=col>age_middle_to_oldest_old</th><th scope=col>poor_health</th><th scope=col>disability</th><th scope=col>one_parent_households</th><th scope=col>three_or_more_children_households</th><th scope=col>low_skilled_employment</th><th scope=col>farmers</th><th scope=col>unemployment</th><th scope=col>⋯</th><th scope=col>rented</th><th scope=col>journey_time</th><th scope=col>not_volunteers</th><th scope=col>primary_school_age</th><th scope=col>one_person_households</th><th scope=col>no_central_heating</th><th scope=col>private_water_supply</th><th scope=col>year_built</th><th scope=col>mobile_home</th><th scope=col>unoccupied_dwellings</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>⋯</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>1</th><td>4c07d11e-11d3-851d-e053-ca3ca8c0ca7f</td><td>-0.1079508</td><td>-0.4448091</td><td>-0.0867229</td><td>-0.4589362</td><td>-0.6992867</td><td> 0.7971503</td><td> 0.3821265</td><td> 1.8818244</td><td>-0.83703083</td><td>⋯</td><td>-0.9475582</td><td> 0.6458280</td><td> 0.2721853</td><td> 0.53543614</td><td>-0.7988385</td><td>-0.7784105</td><td> 2.8290832</td><td> 0.1247138</td><td> 0.9507964</td><td>-0.2685905</td></tr>\n",
       "\t<tr><th scope=row>2</th><td>4c07d11e-123a-851d-e053-ca3ca8c0ca7f</td><td>-0.2315741</td><td> 0.7875206</td><td> 0.1669895</td><td> 0.5523710</td><td>-0.4125867</td><td> 0.1677345</td><td>-0.3005233</td><td> 1.0930868</td><td>-0.26121797</td><td>⋯</td><td>-0.9117719</td><td> 0.3856925</td><td>-1.2744132</td><td>-0.09998755</td><td>-0.8885092</td><td> 0.3283476</td><td> 2.3937964</td><td> 0.1865261</td><td>-0.1877926</td><td>-0.5759916</td></tr>\n",
       "\t<tr><th scope=row>3</th><td>4c07d11e-14b1-851d-e053-ca3ca8c0ca7f</td><td>-0.3928420</td><td>-0.6320030</td><td> 1.2441066</td><td> 0.2624819</td><td> 0.4618750</td><td>-0.3677598</td><td>-0.4182116</td><td>-0.4741963</td><td> 0.06414964</td><td>⋯</td><td>-0.1088473</td><td> 0.1347198</td><td>-0.4611731</td><td> 0.29209620</td><td>-0.4097515</td><td>-0.2296817</td><td>-0.4744110</td><td>-0.5141473</td><td>-0.1877926</td><td>-0.5772738</td></tr>\n",
       "\t<tr><th scope=row>4</th><td>bf640964-28f3-4ccf-a610-04685d80ea2e</td><td> 0.7370521</td><td> 0.3823155</td><td> 0.3432288</td><td>-0.1651002</td><td>-0.5449551</td><td>-0.6223328</td><td>-0.7312063</td><td> 0.1385892</td><td>-0.18265319</td><td>⋯</td><td>-0.7531121</td><td>-0.5219048</td><td>-0.7638791</td><td> 0.28438525</td><td>-0.1349893</td><td>-0.3651274</td><td> 0.6291462</td><td> 0.1706238</td><td> 0.3058362</td><td>-0.5006639</td></tr>\n",
       "\t<tr><th scope=row>5</th><td>4c07d11d-f709-851d-e053-ca3ca8c0ca7f</td><td>-0.1666197</td><td>-0.3376567</td><td> 0.1187018</td><td>-0.8724183</td><td>-0.3649398</td><td> 0.2410678</td><td>-0.3254920</td><td> 1.6827210</td><td>-0.28372469</td><td>⋯</td><td>-1.0212046</td><td> 0.3517089</td><td>-0.4219533</td><td> 0.36431183</td><td>-0.1519057</td><td> 0.6567264</td><td> 2.2075847</td><td> 0.4902435</td><td> 0.6692771</td><td>-0.3823238</td></tr>\n",
       "\t<tr><th scope=row>6</th><td>4c07d11e-1237-851d-e053-ca3ca8c0ca7f</td><td> 0.1772575</td><td> 0.2407678</td><td> 0.5828047</td><td> 0.8390637</td><td>-0.4233032</td><td> 0.4107411</td><td> 0.7385225</td><td> 1.5548942</td><td> 0.45793149</td><td>⋯</td><td>-0.7493154</td><td> 0.9712513</td><td>-0.9921427</td><td> 0.24013874</td><td>-0.6550195</td><td>-0.2296817</td><td> 0.3011058</td><td> 0.7315812</td><td> 0.4676137</td><td>-0.3881432</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 26\n",
       "\\begin{tabular}{r|lllllllllllllllllllll}\n",
       "  & SA\\_GUID\\_\\_1 & early\\_childhood & age\\_middle\\_to\\_oldest\\_old & poor\\_health & disability & one\\_parent\\_households & three\\_or\\_more\\_children\\_households & low\\_skilled\\_employment & farmers & unemployment & ⋯ & rented & journey\\_time & not\\_volunteers & primary\\_school\\_age & one\\_person\\_households & no\\_central\\_heating & private\\_water\\_supply & year\\_built & mobile\\_home & unoccupied\\_dwellings\\\\\n",
       "  & <chr> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & ⋯ & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl>\\\\\n",
       "\\hline\n",
       "\t1 & 4c07d11e-11d3-851d-e053-ca3ca8c0ca7f & -0.1079508 & -0.4448091 & -0.0867229 & -0.4589362 & -0.6992867 &  0.7971503 &  0.3821265 &  1.8818244 & -0.83703083 & ⋯ & -0.9475582 &  0.6458280 &  0.2721853 &  0.53543614 & -0.7988385 & -0.7784105 &  2.8290832 &  0.1247138 &  0.9507964 & -0.2685905\\\\\n",
       "\t2 & 4c07d11e-123a-851d-e053-ca3ca8c0ca7f & -0.2315741 &  0.7875206 &  0.1669895 &  0.5523710 & -0.4125867 &  0.1677345 & -0.3005233 &  1.0930868 & -0.26121797 & ⋯ & -0.9117719 &  0.3856925 & -1.2744132 & -0.09998755 & -0.8885092 &  0.3283476 &  2.3937964 &  0.1865261 & -0.1877926 & -0.5759916\\\\\n",
       "\t3 & 4c07d11e-14b1-851d-e053-ca3ca8c0ca7f & -0.3928420 & -0.6320030 &  1.2441066 &  0.2624819 &  0.4618750 & -0.3677598 & -0.4182116 & -0.4741963 &  0.06414964 & ⋯ & -0.1088473 &  0.1347198 & -0.4611731 &  0.29209620 & -0.4097515 & -0.2296817 & -0.4744110 & -0.5141473 & -0.1877926 & -0.5772738\\\\\n",
       "\t4 & bf640964-28f3-4ccf-a610-04685d80ea2e &  0.7370521 &  0.3823155 &  0.3432288 & -0.1651002 & -0.5449551 & -0.6223328 & -0.7312063 &  0.1385892 & -0.18265319 & ⋯ & -0.7531121 & -0.5219048 & -0.7638791 &  0.28438525 & -0.1349893 & -0.3651274 &  0.6291462 &  0.1706238 &  0.3058362 & -0.5006639\\\\\n",
       "\t5 & 4c07d11d-f709-851d-e053-ca3ca8c0ca7f & -0.1666197 & -0.3376567 &  0.1187018 & -0.8724183 & -0.3649398 &  0.2410678 & -0.3254920 &  1.6827210 & -0.28372469 & ⋯ & -1.0212046 &  0.3517089 & -0.4219533 &  0.36431183 & -0.1519057 &  0.6567264 &  2.2075847 &  0.4902435 &  0.6692771 & -0.3823238\\\\\n",
       "\t6 & 4c07d11e-1237-851d-e053-ca3ca8c0ca7f &  0.1772575 &  0.2407678 &  0.5828047 &  0.8390637 & -0.4233032 &  0.4107411 &  0.7385225 &  1.5548942 &  0.45793149 & ⋯ & -0.7493154 &  0.9712513 & -0.9921427 &  0.24013874 & -0.6550195 & -0.2296817 &  0.3011058 &  0.7315812 &  0.4676137 & -0.3881432\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 26\n",
       "\n",
       "| <!--/--> | SA_GUID__1 &lt;chr&gt; | early_childhood &lt;dbl&gt; | age_middle_to_oldest_old &lt;dbl&gt; | poor_health &lt;dbl&gt; | disability &lt;dbl&gt; | one_parent_households &lt;dbl&gt; | three_or_more_children_households &lt;dbl&gt; | low_skilled_employment &lt;dbl&gt; | farmers &lt;dbl&gt; | unemployment &lt;dbl&gt; | ⋯ ⋯ | rented &lt;dbl&gt; | journey_time &lt;dbl&gt; | not_volunteers &lt;dbl&gt; | primary_school_age &lt;dbl&gt; | one_person_households &lt;dbl&gt; | no_central_heating &lt;dbl&gt; | private_water_supply &lt;dbl&gt; | year_built &lt;dbl&gt; | mobile_home &lt;dbl&gt; | unoccupied_dwellings &lt;dbl&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| 1 | 4c07d11e-11d3-851d-e053-ca3ca8c0ca7f | -0.1079508 | -0.4448091 | -0.0867229 | -0.4589362 | -0.6992867 |  0.7971503 |  0.3821265 |  1.8818244 | -0.83703083 | ⋯ | -0.9475582 |  0.6458280 |  0.2721853 |  0.53543614 | -0.7988385 | -0.7784105 |  2.8290832 |  0.1247138 |  0.9507964 | -0.2685905 |\n",
       "| 2 | 4c07d11e-123a-851d-e053-ca3ca8c0ca7f | -0.2315741 |  0.7875206 |  0.1669895 |  0.5523710 | -0.4125867 |  0.1677345 | -0.3005233 |  1.0930868 | -0.26121797 | ⋯ | -0.9117719 |  0.3856925 | -1.2744132 | -0.09998755 | -0.8885092 |  0.3283476 |  2.3937964 |  0.1865261 | -0.1877926 | -0.5759916 |\n",
       "| 3 | 4c07d11e-14b1-851d-e053-ca3ca8c0ca7f | -0.3928420 | -0.6320030 |  1.2441066 |  0.2624819 |  0.4618750 | -0.3677598 | -0.4182116 | -0.4741963 |  0.06414964 | ⋯ | -0.1088473 |  0.1347198 | -0.4611731 |  0.29209620 | -0.4097515 | -0.2296817 | -0.4744110 | -0.5141473 | -0.1877926 | -0.5772738 |\n",
       "| 4 | bf640964-28f3-4ccf-a610-04685d80ea2e |  0.7370521 |  0.3823155 |  0.3432288 | -0.1651002 | -0.5449551 | -0.6223328 | -0.7312063 |  0.1385892 | -0.18265319 | ⋯ | -0.7531121 | -0.5219048 | -0.7638791 |  0.28438525 | -0.1349893 | -0.3651274 |  0.6291462 |  0.1706238 |  0.3058362 | -0.5006639 |\n",
       "| 5 | 4c07d11d-f709-851d-e053-ca3ca8c0ca7f | -0.1666197 | -0.3376567 |  0.1187018 | -0.8724183 | -0.3649398 |  0.2410678 | -0.3254920 |  1.6827210 | -0.28372469 | ⋯ | -1.0212046 |  0.3517089 | -0.4219533 |  0.36431183 | -0.1519057 |  0.6567264 |  2.2075847 |  0.4902435 |  0.6692771 | -0.3823238 |\n",
       "| 6 | 4c07d11e-1237-851d-e053-ca3ca8c0ca7f |  0.1772575 |  0.2407678 |  0.5828047 |  0.8390637 | -0.4233032 |  0.4107411 |  0.7385225 |  1.5548942 |  0.45793149 | ⋯ | -0.7493154 |  0.9712513 | -0.9921427 |  0.24013874 | -0.6550195 | -0.2296817 |  0.3011058 |  0.7315812 |  0.4676137 | -0.3881432 |\n",
       "\n"
      ],
      "text/plain": [
       "  SA_GUID__1                           early_childhood age_middle_to_oldest_old\n",
       "1 4c07d11e-11d3-851d-e053-ca3ca8c0ca7f -0.1079508      -0.4448091              \n",
       "2 4c07d11e-123a-851d-e053-ca3ca8c0ca7f -0.2315741       0.7875206              \n",
       "3 4c07d11e-14b1-851d-e053-ca3ca8c0ca7f -0.3928420      -0.6320030              \n",
       "4 bf640964-28f3-4ccf-a610-04685d80ea2e  0.7370521       0.3823155              \n",
       "5 4c07d11d-f709-851d-e053-ca3ca8c0ca7f -0.1666197      -0.3376567              \n",
       "6 4c07d11e-1237-851d-e053-ca3ca8c0ca7f  0.1772575       0.2407678              \n",
       "  poor_health disability one_parent_households\n",
       "1 -0.0867229  -0.4589362 -0.6992867           \n",
       "2  0.1669895   0.5523710 -0.4125867           \n",
       "3  1.2441066   0.2624819  0.4618750           \n",
       "4  0.3432288  -0.1651002 -0.5449551           \n",
       "5  0.1187018  -0.8724183 -0.3649398           \n",
       "6  0.5828047   0.8390637 -0.4233032           \n",
       "  three_or_more_children_households low_skilled_employment farmers   \n",
       "1  0.7971503                         0.3821265              1.8818244\n",
       "2  0.1677345                        -0.3005233              1.0930868\n",
       "3 -0.3677598                        -0.4182116             -0.4741963\n",
       "4 -0.6223328                        -0.7312063              0.1385892\n",
       "5  0.2410678                        -0.3254920              1.6827210\n",
       "6  0.4107411                         0.7385225              1.5548942\n",
       "  unemployment ⋯ rented     journey_time not_volunteers primary_school_age\n",
       "1 -0.83703083  ⋯ -0.9475582  0.6458280    0.2721853      0.53543614       \n",
       "2 -0.26121797  ⋯ -0.9117719  0.3856925   -1.2744132     -0.09998755       \n",
       "3  0.06414964  ⋯ -0.1088473  0.1347198   -0.4611731      0.29209620       \n",
       "4 -0.18265319  ⋯ -0.7531121 -0.5219048   -0.7638791      0.28438525       \n",
       "5 -0.28372469  ⋯ -1.0212046  0.3517089   -0.4219533      0.36431183       \n",
       "6  0.45793149  ⋯ -0.7493154  0.9712513   -0.9921427      0.24013874       \n",
       "  one_person_households no_central_heating private_water_supply year_built\n",
       "1 -0.7988385            -0.7784105          2.8290832            0.1247138\n",
       "2 -0.8885092             0.3283476          2.3937964            0.1865261\n",
       "3 -0.4097515            -0.2296817         -0.4744110           -0.5141473\n",
       "4 -0.1349893            -0.3651274          0.6291462            0.1706238\n",
       "5 -0.1519057             0.6567264          2.2075847            0.4902435\n",
       "6 -0.6550195            -0.2296817          0.3011058            0.7315812\n",
       "  mobile_home unoccupied_dwellings\n",
       "1  0.9507964  -0.2685905          \n",
       "2 -0.1877926  -0.5759916          \n",
       "3 -0.1877926  -0.5772738          \n",
       "4  0.3058362  -0.5006639          \n",
       "5  0.6692771  -0.3823238          \n",
       "6  0.4676137  -0.3881432          "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Reading layer `census_areas_TCD' from data source \n",
      "  `/Cities/2_pipeline/Ireland/1b_Copernicus/2022/census_areas_TCD.geojson' \n",
      "  using driver `GeoJSON'\n",
      "Simple feature collection with 18919 features and 32 fields\n",
      "Geometry type: MULTIPOLYGON\n",
      "Dimension:     XY\n",
      "Bounding box:  xmin: 417471.5 ymin: 519663.7 xmax: 734481.1 ymax: 966896.3\n",
      "Projected CRS: IRENET95 / Irish Transverse Mercator\n",
      "Reading layer `census_areas_IMD' from data source \n",
      "  `/Cities/2_pipeline/Ireland/1b_Copernicus/2022/census_areas_IMD.geojson' \n",
      "  using driver `GeoJSON'\n",
      "Simple feature collection with 18919 features and 32 fields\n",
      "Geometry type: MULTIPOLYGON\n",
      "Dimension:     XY\n",
      "Bounding box:  xmin: 417471.5 ymin: 519663.7 xmax: 734481.1 ymax: 966896.3\n",
      "Projected CRS: IRENET95 / Irish Transverse Mercator\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 27 × 9</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>domain</th><th scope=col>indicator</th><th scope=col>sensitivity</th><th scope=col>prepare</th><th scope=col>respond</th><th scope=col>recover</th><th scope=col>adaptive_capacity</th><th scope=col>enhanced_exposure</th><th scope=col>weight</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>1</th><td>age                    </td><td>early_childhood                  </td><td>1</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td> 1</td></tr>\n",
       "\t<tr><th scope=row>2</th><td>age                    </td><td>age_middle_to_oldest_old         </td><td>1</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td> 1</td></tr>\n",
       "\t<tr><th scope=row>3</th><td>health                 </td><td>poor_health                      </td><td>1</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td> 1</td></tr>\n",
       "\t<tr><th scope=row>4</th><td>health                 </td><td>disability                       </td><td>1</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td> 1</td></tr>\n",
       "\t<tr><th scope=row>5</th><td>income                 </td><td>one_parent_households            </td><td>0</td><td>1</td><td>1</td><td>1</td><td>1</td><td>0</td><td> 1</td></tr>\n",
       "\t<tr><th scope=row>6</th><td>income                 </td><td>three_or_more_children_households</td><td>0</td><td>1</td><td>1</td><td>1</td><td>1</td><td>0</td><td> 1</td></tr>\n",
       "\t<tr><th scope=row>7</th><td>income                 </td><td>low_skilled_employment           </td><td>0</td><td>1</td><td>1</td><td>1</td><td>1</td><td>0</td><td> 1</td></tr>\n",
       "\t<tr><th scope=row>8</th><td>income                 </td><td>farmers                          </td><td>0</td><td>1</td><td>1</td><td>1</td><td>1</td><td>0</td><td> 1</td></tr>\n",
       "\t<tr><th scope=row>9</th><td>income                 </td><td>unemployment                     </td><td>0</td><td>1</td><td>1</td><td>1</td><td>1</td><td>0</td><td> 1</td></tr>\n",
       "\t<tr><th scope=row>10</th><td>info_access_use        </td><td>no_higher_education              </td><td>0</td><td>1</td><td>1</td><td>1</td><td>1</td><td>0</td><td> 1</td></tr>\n",
       "\t<tr><th scope=row>11</th><td>info_access_use        </td><td>speak_english                    </td><td>0</td><td>1</td><td>1</td><td>1</td><td>1</td><td>0</td><td> 1</td></tr>\n",
       "\t<tr><th scope=row>12</th><td>info_access_use        </td><td>no_internet                      </td><td>0</td><td>1</td><td>1</td><td>1</td><td>1</td><td>0</td><td> 1</td></tr>\n",
       "\t<tr><th scope=row>13</th><td>local_knowledge        </td><td>new_residents                    </td><td>0</td><td>1</td><td>1</td><td>0</td><td>1</td><td>0</td><td> 1</td></tr>\n",
       "\t<tr><th scope=row>14</th><td>local_knowledge        </td><td>foreign_nationals                </td><td>0</td><td>1</td><td>1</td><td>0</td><td>1</td><td>0</td><td> 1</td></tr>\n",
       "\t<tr><th scope=row>15</th><td>mobility               </td><td>no_car                           </td><td>0</td><td>0</td><td>1</td><td>1</td><td>1</td><td>0</td><td> 1</td></tr>\n",
       "\t<tr><th scope=row>16</th><td>physical_access        </td><td>journey_time                     </td><td>0</td><td>0</td><td>1</td><td>0</td><td>1</td><td>0</td><td> 1</td></tr>\n",
       "\t<tr><th scope=row>17</th><td>tenure                 </td><td>rented                           </td><td>0</td><td>1</td><td>0</td><td>0</td><td>1</td><td>0</td><td> 1</td></tr>\n",
       "\t<tr><th scope=row>18</th><td>social_network         </td><td>not_volunteers                   </td><td>0</td><td>0</td><td>1</td><td>1</td><td>1</td><td>0</td><td> 1</td></tr>\n",
       "\t<tr><th scope=row>19</th><td>social_network         </td><td>primary_school_age               </td><td>0</td><td>0</td><td>1</td><td>1</td><td>1</td><td>0</td><td>-1</td></tr>\n",
       "\t<tr><th scope=row>20</th><td>social_network         </td><td>one_person_households            </td><td>0</td><td>0</td><td>1</td><td>1</td><td>1</td><td>0</td><td> 1</td></tr>\n",
       "\t<tr><th scope=row>21</th><td>housing_characteristics</td><td>no_central_heating               </td><td>0</td><td>0</td><td>0</td><td>1</td><td>1</td><td>0</td><td> 1</td></tr>\n",
       "\t<tr><th scope=row>22</th><td>housing_characteristics</td><td>private_water_supply             </td><td>0</td><td>0</td><td>0</td><td>1</td><td>1</td><td>0</td><td> 1</td></tr>\n",
       "\t<tr><th scope=row>23</th><td>housing_characteristics</td><td>year_built                       </td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>1</td><td> 1</td></tr>\n",
       "\t<tr><th scope=row>24</th><td>housing_characteristics</td><td>mobile_home                      </td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>1</td><td> 1</td></tr>\n",
       "\t<tr><th scope=row>25</th><td>housing_characteristics</td><td>unoccupied_dwellings             </td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>1</td><td> 1</td></tr>\n",
       "\t<tr><th scope=row>26</th><td>physical_environment   </td><td>impervious                       </td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>1</td><td> 1</td></tr>\n",
       "\t<tr><th scope=row>27</th><td>physical_environment   </td><td>tree_cover_density               </td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>1</td><td> 1</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 27 × 9\n",
       "\\begin{tabular}{r|lllllllll}\n",
       "  & domain & indicator & sensitivity & prepare & respond & recover & adaptive\\_capacity & enhanced\\_exposure & weight\\\\\n",
       "  & <chr> & <chr> & <int> & <int> & <int> & <int> & <int> & <int> & <int>\\\\\n",
       "\\hline\n",
       "\t1 & age                     & early\\_childhood                   & 1 & 0 & 0 & 0 & 0 & 0 &  1\\\\\n",
       "\t2 & age                     & age\\_middle\\_to\\_oldest\\_old          & 1 & 0 & 0 & 0 & 0 & 0 &  1\\\\\n",
       "\t3 & health                  & poor\\_health                       & 1 & 0 & 0 & 0 & 0 & 0 &  1\\\\\n",
       "\t4 & health                  & disability                        & 1 & 0 & 0 & 0 & 0 & 0 &  1\\\\\n",
       "\t5 & income                  & one\\_parent\\_households             & 0 & 1 & 1 & 1 & 1 & 0 &  1\\\\\n",
       "\t6 & income                  & three\\_or\\_more\\_children\\_households & 0 & 1 & 1 & 1 & 1 & 0 &  1\\\\\n",
       "\t7 & income                  & low\\_skilled\\_employment            & 0 & 1 & 1 & 1 & 1 & 0 &  1\\\\\n",
       "\t8 & income                  & farmers                           & 0 & 1 & 1 & 1 & 1 & 0 &  1\\\\\n",
       "\t9 & income                  & unemployment                      & 0 & 1 & 1 & 1 & 1 & 0 &  1\\\\\n",
       "\t10 & info\\_access\\_use         & no\\_higher\\_education               & 0 & 1 & 1 & 1 & 1 & 0 &  1\\\\\n",
       "\t11 & info\\_access\\_use         & speak\\_english                     & 0 & 1 & 1 & 1 & 1 & 0 &  1\\\\\n",
       "\t12 & info\\_access\\_use         & no\\_internet                       & 0 & 1 & 1 & 1 & 1 & 0 &  1\\\\\n",
       "\t13 & local\\_knowledge         & new\\_residents                     & 0 & 1 & 1 & 0 & 1 & 0 &  1\\\\\n",
       "\t14 & local\\_knowledge         & foreign\\_nationals                 & 0 & 1 & 1 & 0 & 1 & 0 &  1\\\\\n",
       "\t15 & mobility                & no\\_car                            & 0 & 0 & 1 & 1 & 1 & 0 &  1\\\\\n",
       "\t16 & physical\\_access         & journey\\_time                      & 0 & 0 & 1 & 0 & 1 & 0 &  1\\\\\n",
       "\t17 & tenure                  & rented                            & 0 & 1 & 0 & 0 & 1 & 0 &  1\\\\\n",
       "\t18 & social\\_network          & not\\_volunteers                    & 0 & 0 & 1 & 1 & 1 & 0 &  1\\\\\n",
       "\t19 & social\\_network          & primary\\_school\\_age                & 0 & 0 & 1 & 1 & 1 & 0 & -1\\\\\n",
       "\t20 & social\\_network          & one\\_person\\_households             & 0 & 0 & 1 & 1 & 1 & 0 &  1\\\\\n",
       "\t21 & housing\\_characteristics & no\\_central\\_heating                & 0 & 0 & 0 & 1 & 1 & 0 &  1\\\\\n",
       "\t22 & housing\\_characteristics & private\\_water\\_supply              & 0 & 0 & 0 & 1 & 1 & 0 &  1\\\\\n",
       "\t23 & housing\\_characteristics & year\\_built                        & 0 & 0 & 0 & 0 & 0 & 1 &  1\\\\\n",
       "\t24 & housing\\_characteristics & mobile\\_home                       & 0 & 0 & 0 & 0 & 0 & 1 &  1\\\\\n",
       "\t25 & housing\\_characteristics & unoccupied\\_dwellings              & 0 & 0 & 0 & 0 & 0 & 1 &  1\\\\\n",
       "\t26 & physical\\_environment    & impervious                        & 0 & 0 & 0 & 0 & 0 & 1 &  1\\\\\n",
       "\t27 & physical\\_environment    & tree\\_cover\\_density                & 0 & 0 & 0 & 0 & 0 & 1 &  1\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 27 × 9\n",
       "\n",
       "| <!--/--> | domain &lt;chr&gt; | indicator &lt;chr&gt; | sensitivity &lt;int&gt; | prepare &lt;int&gt; | respond &lt;int&gt; | recover &lt;int&gt; | adaptive_capacity &lt;int&gt; | enhanced_exposure &lt;int&gt; | weight &lt;int&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|\n",
       "| 1 | age                     | early_childhood                   | 1 | 0 | 0 | 0 | 0 | 0 |  1 |\n",
       "| 2 | age                     | age_middle_to_oldest_old          | 1 | 0 | 0 | 0 | 0 | 0 |  1 |\n",
       "| 3 | health                  | poor_health                       | 1 | 0 | 0 | 0 | 0 | 0 |  1 |\n",
       "| 4 | health                  | disability                        | 1 | 0 | 0 | 0 | 0 | 0 |  1 |\n",
       "| 5 | income                  | one_parent_households             | 0 | 1 | 1 | 1 | 1 | 0 |  1 |\n",
       "| 6 | income                  | three_or_more_children_households | 0 | 1 | 1 | 1 | 1 | 0 |  1 |\n",
       "| 7 | income                  | low_skilled_employment            | 0 | 1 | 1 | 1 | 1 | 0 |  1 |\n",
       "| 8 | income                  | farmers                           | 0 | 1 | 1 | 1 | 1 | 0 |  1 |\n",
       "| 9 | income                  | unemployment                      | 0 | 1 | 1 | 1 | 1 | 0 |  1 |\n",
       "| 10 | info_access_use         | no_higher_education               | 0 | 1 | 1 | 1 | 1 | 0 |  1 |\n",
       "| 11 | info_access_use         | speak_english                     | 0 | 1 | 1 | 1 | 1 | 0 |  1 |\n",
       "| 12 | info_access_use         | no_internet                       | 0 | 1 | 1 | 1 | 1 | 0 |  1 |\n",
       "| 13 | local_knowledge         | new_residents                     | 0 | 1 | 1 | 0 | 1 | 0 |  1 |\n",
       "| 14 | local_knowledge         | foreign_nationals                 | 0 | 1 | 1 | 0 | 1 | 0 |  1 |\n",
       "| 15 | mobility                | no_car                            | 0 | 0 | 1 | 1 | 1 | 0 |  1 |\n",
       "| 16 | physical_access         | journey_time                      | 0 | 0 | 1 | 0 | 1 | 0 |  1 |\n",
       "| 17 | tenure                  | rented                            | 0 | 1 | 0 | 0 | 1 | 0 |  1 |\n",
       "| 18 | social_network          | not_volunteers                    | 0 | 0 | 1 | 1 | 1 | 0 |  1 |\n",
       "| 19 | social_network          | primary_school_age                | 0 | 0 | 1 | 1 | 1 | 0 | -1 |\n",
       "| 20 | social_network          | one_person_households             | 0 | 0 | 1 | 1 | 1 | 0 |  1 |\n",
       "| 21 | housing_characteristics | no_central_heating                | 0 | 0 | 0 | 1 | 1 | 0 |  1 |\n",
       "| 22 | housing_characteristics | private_water_supply              | 0 | 0 | 0 | 1 | 1 | 0 |  1 |\n",
       "| 23 | housing_characteristics | year_built                        | 0 | 0 | 0 | 0 | 0 | 1 |  1 |\n",
       "| 24 | housing_characteristics | mobile_home                       | 0 | 0 | 0 | 0 | 0 | 1 |  1 |\n",
       "| 25 | housing_characteristics | unoccupied_dwellings              | 0 | 0 | 0 | 0 | 0 | 1 |  1 |\n",
       "| 26 | physical_environment    | impervious                        | 0 | 0 | 0 | 0 | 0 | 1 |  1 |\n",
       "| 27 | physical_environment    | tree_cover_density                | 0 | 0 | 0 | 0 | 0 | 1 |  1 |\n",
       "\n"
      ],
      "text/plain": [
       "   domain                  indicator                         sensitivity\n",
       "1  age                     early_childhood                   1          \n",
       "2  age                     age_middle_to_oldest_old          1          \n",
       "3  health                  poor_health                       1          \n",
       "4  health                  disability                        1          \n",
       "5  income                  one_parent_households             0          \n",
       "6  income                  three_or_more_children_households 0          \n",
       "7  income                  low_skilled_employment            0          \n",
       "8  income                  farmers                           0          \n",
       "9  income                  unemployment                      0          \n",
       "10 info_access_use         no_higher_education               0          \n",
       "11 info_access_use         speak_english                     0          \n",
       "12 info_access_use         no_internet                       0          \n",
       "13 local_knowledge         new_residents                     0          \n",
       "14 local_knowledge         foreign_nationals                 0          \n",
       "15 mobility                no_car                            0          \n",
       "16 physical_access         journey_time                      0          \n",
       "17 tenure                  rented                            0          \n",
       "18 social_network          not_volunteers                    0          \n",
       "19 social_network          primary_school_age                0          \n",
       "20 social_network          one_person_households             0          \n",
       "21 housing_characteristics no_central_heating                0          \n",
       "22 housing_characteristics private_water_supply              0          \n",
       "23 housing_characteristics year_built                        0          \n",
       "24 housing_characteristics mobile_home                       0          \n",
       "25 housing_characteristics unoccupied_dwellings              0          \n",
       "26 physical_environment    impervious                        0          \n",
       "27 physical_environment    tree_cover_density                0          \n",
       "   prepare respond recover adaptive_capacity enhanced_exposure weight\n",
       "1  0       0       0       0                 0                  1    \n",
       "2  0       0       0       0                 0                  1    \n",
       "3  0       0       0       0                 0                  1    \n",
       "4  0       0       0       0                 0                  1    \n",
       "5  1       1       1       1                 0                  1    \n",
       "6  1       1       1       1                 0                  1    \n",
       "7  1       1       1       1                 0                  1    \n",
       "8  1       1       1       1                 0                  1    \n",
       "9  1       1       1       1                 0                  1    \n",
       "10 1       1       1       1                 0                  1    \n",
       "11 1       1       1       1                 0                  1    \n",
       "12 1       1       1       1                 0                  1    \n",
       "13 1       1       0       1                 0                  1    \n",
       "14 1       1       0       1                 0                  1    \n",
       "15 0       1       1       1                 0                  1    \n",
       "16 0       1       0       1                 0                  1    \n",
       "17 1       0       0       1                 0                  1    \n",
       "18 0       1       1       1                 0                  1    \n",
       "19 0       1       1       1                 0                 -1    \n",
       "20 0       1       1       1                 0                  1    \n",
       "21 0       0       1       1                 0                  1    \n",
       "22 0       0       1       1                 0                  1    \n",
       "23 0       0       0       0                 1                  1    \n",
       "24 0       0       0       0                 1                  1    \n",
       "25 0       0       0       0                 1                  1    \n",
       "26 0       0       0       0                 1                  1    \n",
       "27 0       0       0       0                 1                  1    "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Load census data\n",
    "census_indicator_data <- read.csv(\"../../2_pipeline/Ireland/1a_CensusData/2022/censusDataZ.csv\")\n",
    "colnames(census_indicator_data)[colnames(census_indicator_data) == \"GUID\"] = \"SA_GUID__1\"\n",
    "head(census_indicator_data)\n",
    "\n",
    "# Load Coperncius data: tree cover density (TCD) and imperviousness density (IMP)\n",
    "tcd_indicator_data <- st_read(\"../../2_pipeline/Ireland/1b_Copernicus/2022/census_areas_TCD.geojson\")\n",
    "imd_indicator_data <- st_read(\"../../2_pipeline/Ireland/1b_Copernicus/2022/census_areas_IMD.geojson\")\n",
    "\n",
    "# Get the geospatial data from the TCS data (the IMD data also has same spatial data)\n",
    "oa <- subset(tcd_indicator_data, select = c(GUID, 'geometry'))\n",
    "\n",
    "# Load vulnerability mapping information from the config file\n",
    "## This mapping information is used to help guide the amalgamation of the data.\n",
    "## Weighting can be changed in this file, depending on the scenario.\n",
    "## Scenario 1 (best case scenario): Weighting values 1 or -1:\n",
    "##  where 1 means no change\n",
    "##  or -1 means all the indicator values are multiplied by -1, resulting in an inverse indicator.\n",
    "## Scenario 2: Weighting values 0.5 or -0.5:\n",
    "##  For domains with just a single indicators or where there is a lack of information related to missing indicators. \n",
    "##  For these domains the weights are halved using a weight of 0.5, or -0.5 for an inverse indicator.\n",
    "##  Therefore the influence of these indicators are reduced in half.\n",
    "## Other scenarios are supported by using other decimal numbers if decided for a particular dataset.\n",
    "indicator_mapping <- read.csv(\"config/vulnerabilityIndicatorMappings.csv\", header=TRUE, sep=\",\", stringsAsFactors = FALSE, fileEncoding=\"UTF-8-BOM\")\n",
    "\n",
    "# Print up to 100 rows of vulnerabiltiy mapping config file\n",
    "head(indicator_mapping,100)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "733d3bae-f91b-4a66-b073-e1bdf149fde3",
   "metadata": {},
   "source": [
    "## Prepare Data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5cd692d7-9901-4c30-b8a2-825e0fdfc143",
   "metadata": {},
   "source": [
    "### Combine data into a single indicator dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "0c750b2c-34c9-4a77-88bb-8dd9c6c9bc5f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 28</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>SA_GUID__1</th><th scope=col>early_childhood</th><th scope=col>age_middle_to_oldest_old</th><th scope=col>poor_health</th><th scope=col>disability</th><th scope=col>one_parent_households</th><th scope=col>three_or_more_children_households</th><th scope=col>low_skilled_employment</th><th scope=col>farmers</th><th scope=col>unemployment</th><th scope=col>⋯</th><th scope=col>not_volunteers</th><th scope=col>primary_school_age</th><th scope=col>one_person_households</th><th scope=col>no_central_heating</th><th scope=col>private_water_supply</th><th scope=col>year_built</th><th scope=col>mobile_home</th><th scope=col>unoccupied_dwellings</th><th scope=col>tree_cover_density</th><th scope=col>impervious</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>⋯</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>1</th><td>000581a3-4ebd-4a74-b5f8-0bd78cd7ede5</td><td> 3.3880435</td><td>-0.8683184</td><td>-0.72494112</td><td>-0.92235833</td><td>-0.9537932</td><td>-0.28864382</td><td>-0.3191812</td><td>-0.5775435</td><td>-0.61650259</td><td>⋯</td><td> 0.88627118</td><td> 1.7138413</td><td>-1.4596182731</td><td>-0.7784105</td><td>-0.5390374</td><td>-0.8371139</td><td>-0.1877926</td><td>-0.2345322</td><td>0.7388976</td><td>-0.3062498</td></tr>\n",
       "\t<tr><th scope=row>2</th><td>00275248-3d78-4fdb-8e5c-8ff1f76aebea</td><td>-1.2041476</td><td> 1.0830212</td><td> 0.27801178</td><td>-0.62611003</td><td>-0.5813707</td><td> 0.24855343</td><td>-0.7175350</td><td> 0.2814244</td><td>-0.23523246</td><td>⋯</td><td>-0.81754631</td><td>-0.5610249</td><td>-0.0009715101</td><td>-0.7784105</td><td> 1.3835981</td><td>-0.4334056</td><td>-0.1877926</td><td>-0.3975997</td><td>0.1744364</td><td>-0.4046076</td></tr>\n",
       "\t<tr><th scope=row>3</th><td>002b83e4-5cce-414a-8570-871a50ae0964</td><td> 0.2940109</td><td>-0.6563918</td><td> 0.07647292</td><td> 0.06773408</td><td> 0.3083236</td><td>-0.06192013</td><td>-0.7370951</td><td>-0.1126775</td><td> 0.22240140</td><td>⋯</td><td> 0.52365099</td><td> 0.3585112</td><td>-0.2053615213</td><td>-0.1120970</td><td>-0.5390374</td><td>-0.7250643</td><td>-0.1877926</td><td>-0.5907831</td><td>0.3864675</td><td> 0.2528562</td></tr>\n",
       "\t<tr><th scope=row>4</th><td>005eec3f-d746-480f-ae2c-bc6f1151548d</td><td>-1.3337162</td><td> 1.4547264</td><td> 0.49313225</td><td> 0.45603900</td><td>-1.0918818</td><td>-1.18351563</td><td>-1.9157382</td><td>-0.5775435</td><td>-0.07660151</td><td>⋯</td><td>-0.27505307</td><td>-1.3574765</td><td>-0.6525911498</td><td>-0.1318884</td><td>-0.3106055</td><td>-0.7827532</td><td>-0.1877926</td><td>-0.3274716</td><td>0.7008530</td><td> 0.5785962</td></tr>\n",
       "\t<tr><th scope=row>5</th><td>00b00ae4-229d-455d-84f1-d6face4876b1</td><td> 1.7131001</td><td>-1.2060316</td><td>-0.32805634</td><td>-0.03080027</td><td> 3.2416831</td><td> 1.26642096</td><td> 1.5271694</td><td>-0.5775435</td><td> 0.75768133</td><td>⋯</td><td> 1.59439615</td><td> 2.9123134</td><td>-1.1159542610</td><td>-0.7784105</td><td>-0.5390374</td><td>-0.7424513</td><td>-0.1877926</td><td>-0.6509695</td><td>0.4060470</td><td> 0.5467661</td></tr>\n",
       "\t<tr><th scope=row>6</th><td>00df2b78-66c8-4009-89e0-0e14e15e4208</td><td> 1.5084163</td><td>-0.8589597</td><td>-1.03118100</td><td>-1.02730679</td><td>-0.4959203</td><td>-0.57201990</td><td> 0.4816479</td><td>-0.4599295</td><td>-0.97841257</td><td>⋯</td><td>-0.02986993</td><td> 0.6262758</td><td>-0.9415702944</td><td>-0.7784105</td><td>-0.5390374</td><td>-0.6196710</td><td>-0.1877926</td><td>-0.4166064</td><td>0.7989094</td><td>-0.4272128</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 28\n",
       "\\begin{tabular}{r|lllllllllllllllllllll}\n",
       "  & SA\\_GUID\\_\\_1 & early\\_childhood & age\\_middle\\_to\\_oldest\\_old & poor\\_health & disability & one\\_parent\\_households & three\\_or\\_more\\_children\\_households & low\\_skilled\\_employment & farmers & unemployment & ⋯ & not\\_volunteers & primary\\_school\\_age & one\\_person\\_households & no\\_central\\_heating & private\\_water\\_supply & year\\_built & mobile\\_home & unoccupied\\_dwellings & tree\\_cover\\_density & impervious\\\\\n",
       "  & <chr> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & ⋯ & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl>\\\\\n",
       "\\hline\n",
       "\t1 & 000581a3-4ebd-4a74-b5f8-0bd78cd7ede5 &  3.3880435 & -0.8683184 & -0.72494112 & -0.92235833 & -0.9537932 & -0.28864382 & -0.3191812 & -0.5775435 & -0.61650259 & ⋯ &  0.88627118 &  1.7138413 & -1.4596182731 & -0.7784105 & -0.5390374 & -0.8371139 & -0.1877926 & -0.2345322 & 0.7388976 & -0.3062498\\\\\n",
       "\t2 & 00275248-3d78-4fdb-8e5c-8ff1f76aebea & -1.2041476 &  1.0830212 &  0.27801178 & -0.62611003 & -0.5813707 &  0.24855343 & -0.7175350 &  0.2814244 & -0.23523246 & ⋯ & -0.81754631 & -0.5610249 & -0.0009715101 & -0.7784105 &  1.3835981 & -0.4334056 & -0.1877926 & -0.3975997 & 0.1744364 & -0.4046076\\\\\n",
       "\t3 & 002b83e4-5cce-414a-8570-871a50ae0964 &  0.2940109 & -0.6563918 &  0.07647292 &  0.06773408 &  0.3083236 & -0.06192013 & -0.7370951 & -0.1126775 &  0.22240140 & ⋯ &  0.52365099 &  0.3585112 & -0.2053615213 & -0.1120970 & -0.5390374 & -0.7250643 & -0.1877926 & -0.5907831 & 0.3864675 &  0.2528562\\\\\n",
       "\t4 & 005eec3f-d746-480f-ae2c-bc6f1151548d & -1.3337162 &  1.4547264 &  0.49313225 &  0.45603900 & -1.0918818 & -1.18351563 & -1.9157382 & -0.5775435 & -0.07660151 & ⋯ & -0.27505307 & -1.3574765 & -0.6525911498 & -0.1318884 & -0.3106055 & -0.7827532 & -0.1877926 & -0.3274716 & 0.7008530 &  0.5785962\\\\\n",
       "\t5 & 00b00ae4-229d-455d-84f1-d6face4876b1 &  1.7131001 & -1.2060316 & -0.32805634 & -0.03080027 &  3.2416831 &  1.26642096 &  1.5271694 & -0.5775435 &  0.75768133 & ⋯ &  1.59439615 &  2.9123134 & -1.1159542610 & -0.7784105 & -0.5390374 & -0.7424513 & -0.1877926 & -0.6509695 & 0.4060470 &  0.5467661\\\\\n",
       "\t6 & 00df2b78-66c8-4009-89e0-0e14e15e4208 &  1.5084163 & -0.8589597 & -1.03118100 & -1.02730679 & -0.4959203 & -0.57201990 &  0.4816479 & -0.4599295 & -0.97841257 & ⋯ & -0.02986993 &  0.6262758 & -0.9415702944 & -0.7784105 & -0.5390374 & -0.6196710 & -0.1877926 & -0.4166064 & 0.7989094 & -0.4272128\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 28\n",
       "\n",
       "| <!--/--> | SA_GUID__1 &lt;chr&gt; | early_childhood &lt;dbl&gt; | age_middle_to_oldest_old &lt;dbl&gt; | poor_health &lt;dbl&gt; | disability &lt;dbl&gt; | one_parent_households &lt;dbl&gt; | three_or_more_children_households &lt;dbl&gt; | low_skilled_employment &lt;dbl&gt; | farmers &lt;dbl&gt; | unemployment &lt;dbl&gt; | ⋯ ⋯ | not_volunteers &lt;dbl&gt; | primary_school_age &lt;dbl&gt; | one_person_households &lt;dbl&gt; | no_central_heating &lt;dbl&gt; | private_water_supply &lt;dbl&gt; | year_built &lt;dbl&gt; | mobile_home &lt;dbl&gt; | unoccupied_dwellings &lt;dbl&gt; | tree_cover_density &lt;dbl&gt; | impervious &lt;dbl&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| 1 | 000581a3-4ebd-4a74-b5f8-0bd78cd7ede5 |  3.3880435 | -0.8683184 | -0.72494112 | -0.92235833 | -0.9537932 | -0.28864382 | -0.3191812 | -0.5775435 | -0.61650259 | ⋯ |  0.88627118 |  1.7138413 | -1.4596182731 | -0.7784105 | -0.5390374 | -0.8371139 | -0.1877926 | -0.2345322 | 0.7388976 | -0.3062498 |\n",
       "| 2 | 00275248-3d78-4fdb-8e5c-8ff1f76aebea | -1.2041476 |  1.0830212 |  0.27801178 | -0.62611003 | -0.5813707 |  0.24855343 | -0.7175350 |  0.2814244 | -0.23523246 | ⋯ | -0.81754631 | -0.5610249 | -0.0009715101 | -0.7784105 |  1.3835981 | -0.4334056 | -0.1877926 | -0.3975997 | 0.1744364 | -0.4046076 |\n",
       "| 3 | 002b83e4-5cce-414a-8570-871a50ae0964 |  0.2940109 | -0.6563918 |  0.07647292 |  0.06773408 |  0.3083236 | -0.06192013 | -0.7370951 | -0.1126775 |  0.22240140 | ⋯ |  0.52365099 |  0.3585112 | -0.2053615213 | -0.1120970 | -0.5390374 | -0.7250643 | -0.1877926 | -0.5907831 | 0.3864675 |  0.2528562 |\n",
       "| 4 | 005eec3f-d746-480f-ae2c-bc6f1151548d | -1.3337162 |  1.4547264 |  0.49313225 |  0.45603900 | -1.0918818 | -1.18351563 | -1.9157382 | -0.5775435 | -0.07660151 | ⋯ | -0.27505307 | -1.3574765 | -0.6525911498 | -0.1318884 | -0.3106055 | -0.7827532 | -0.1877926 | -0.3274716 | 0.7008530 |  0.5785962 |\n",
       "| 5 | 00b00ae4-229d-455d-84f1-d6face4876b1 |  1.7131001 | -1.2060316 | -0.32805634 | -0.03080027 |  3.2416831 |  1.26642096 |  1.5271694 | -0.5775435 |  0.75768133 | ⋯ |  1.59439615 |  2.9123134 | -1.1159542610 | -0.7784105 | -0.5390374 | -0.7424513 | -0.1877926 | -0.6509695 | 0.4060470 |  0.5467661 |\n",
       "| 6 | 00df2b78-66c8-4009-89e0-0e14e15e4208 |  1.5084163 | -0.8589597 | -1.03118100 | -1.02730679 | -0.4959203 | -0.57201990 |  0.4816479 | -0.4599295 | -0.97841257 | ⋯ | -0.02986993 |  0.6262758 | -0.9415702944 | -0.7784105 | -0.5390374 | -0.6196710 | -0.1877926 | -0.4166064 | 0.7989094 | -0.4272128 |\n",
       "\n"
      ],
      "text/plain": [
       "  SA_GUID__1                           early_childhood age_middle_to_oldest_old\n",
       "1 000581a3-4ebd-4a74-b5f8-0bd78cd7ede5  3.3880435      -0.8683184              \n",
       "2 00275248-3d78-4fdb-8e5c-8ff1f76aebea -1.2041476       1.0830212              \n",
       "3 002b83e4-5cce-414a-8570-871a50ae0964  0.2940109      -0.6563918              \n",
       "4 005eec3f-d746-480f-ae2c-bc6f1151548d -1.3337162       1.4547264              \n",
       "5 00b00ae4-229d-455d-84f1-d6face4876b1  1.7131001      -1.2060316              \n",
       "6 00df2b78-66c8-4009-89e0-0e14e15e4208  1.5084163      -0.8589597              \n",
       "  poor_health disability  one_parent_households\n",
       "1 -0.72494112 -0.92235833 -0.9537932           \n",
       "2  0.27801178 -0.62611003 -0.5813707           \n",
       "3  0.07647292  0.06773408  0.3083236           \n",
       "4  0.49313225  0.45603900 -1.0918818           \n",
       "5 -0.32805634 -0.03080027  3.2416831           \n",
       "6 -1.03118100 -1.02730679 -0.4959203           \n",
       "  three_or_more_children_households low_skilled_employment farmers   \n",
       "1 -0.28864382                       -0.3191812             -0.5775435\n",
       "2  0.24855343                       -0.7175350              0.2814244\n",
       "3 -0.06192013                       -0.7370951             -0.1126775\n",
       "4 -1.18351563                       -1.9157382             -0.5775435\n",
       "5  1.26642096                        1.5271694             -0.5775435\n",
       "6 -0.57201990                        0.4816479             -0.4599295\n",
       "  unemployment ⋯ not_volunteers primary_school_age one_person_households\n",
       "1 -0.61650259  ⋯  0.88627118     1.7138413         -1.4596182731        \n",
       "2 -0.23523246  ⋯ -0.81754631    -0.5610249         -0.0009715101        \n",
       "3  0.22240140  ⋯  0.52365099     0.3585112         -0.2053615213        \n",
       "4 -0.07660151  ⋯ -0.27505307    -1.3574765         -0.6525911498        \n",
       "5  0.75768133  ⋯  1.59439615     2.9123134         -1.1159542610        \n",
       "6 -0.97841257  ⋯ -0.02986993     0.6262758         -0.9415702944        \n",
       "  no_central_heating private_water_supply year_built mobile_home\n",
       "1 -0.7784105         -0.5390374           -0.8371139 -0.1877926 \n",
       "2 -0.7784105          1.3835981           -0.4334056 -0.1877926 \n",
       "3 -0.1120970         -0.5390374           -0.7250643 -0.1877926 \n",
       "4 -0.1318884         -0.3106055           -0.7827532 -0.1877926 \n",
       "5 -0.7784105         -0.5390374           -0.7424513 -0.1877926 \n",
       "6 -0.7784105         -0.5390374           -0.6196710 -0.1877926 \n",
       "  unoccupied_dwellings tree_cover_density impervious\n",
       "1 -0.2345322           0.7388976          -0.3062498\n",
       "2 -0.3975997           0.1744364          -0.4046076\n",
       "3 -0.5907831           0.3864675           0.2528562\n",
       "4 -0.3274716           0.7008530           0.5785962\n",
       "5 -0.6509695           0.4060470           0.5467661\n",
       "6 -0.4166064           0.7989094          -0.4272128"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# combine census data with copernicus TCD and IMD data (without geospatial data to advoid duplication)\n",
    "indicator_data <- merge(tcd_indicator_data, st_drop_geometry(census_indicator_data), by.x = GUID, by.y = GUID, all.x = TRUE)\n",
    "indicator_data <- merge(imd_indicator_data, st_drop_geometry(indicator_data), by=GUID)\n",
    "\n",
    "# drop the geometry\n",
    "indicator_data <- st_drop_geometry(indicator_data)\n",
    "\n",
    "# change the small area id column data type (GUID) to character string\n",
    "indicator_data[GUID] <- lapply(indicator_data[GUID], as.character)\n",
    "\n",
    "# trim the columns\n",
    "indicator_data <- subset(indicator_data, select=c(names(census_indicator_data), 'tree_cover_density', 'impervious'))\n",
    "\n",
    "# Set missing data fields to zero (0)\n",
    "# Note: In Italian census the NA or empty data fields are areas with no population (e.g. parks, schools, etc.)\n",
    "indicator_data[is.na(indicator_data)] <- 0\n",
    "\n",
    "# Print the first part of the indicators, which are now collated into one table\n",
    "head(indicator_data)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8c8b119a-3fe2-4c3c-8ecb-07a061bcf66c",
   "metadata": {},
   "source": [
    "### Weight the indicator datas "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "300e4b16-0c6d-4094-afca-88f6b747eb1a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 28</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>SA_GUID__1</th><th scope=col>early_childhood</th><th scope=col>age_middle_to_oldest_old</th><th scope=col>poor_health</th><th scope=col>disability</th><th scope=col>one_parent_households</th><th scope=col>three_or_more_children_households</th><th scope=col>low_skilled_employment</th><th scope=col>farmers</th><th scope=col>unemployment</th><th scope=col>⋯</th><th scope=col>not_volunteers</th><th scope=col>primary_school_age</th><th scope=col>one_person_households</th><th scope=col>no_central_heating</th><th scope=col>private_water_supply</th><th scope=col>year_built</th><th scope=col>mobile_home</th><th scope=col>unoccupied_dwellings</th><th scope=col>tree_cover_density</th><th scope=col>impervious</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>⋯</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>1</th><td>000581a3-4ebd-4a74-b5f8-0bd78cd7ede5</td><td> 3.3880435</td><td>-0.8683184</td><td>-0.72494112</td><td>-0.92235833</td><td>-0.9537932</td><td>-0.28864382</td><td>-0.3191812</td><td>-0.5775435</td><td>-0.61650259</td><td>⋯</td><td> 0.88627118</td><td> 1.7138413</td><td>-1.4596182731</td><td>-0.7784105</td><td>-0.5390374</td><td>-0.8371139</td><td>-0.1877926</td><td>-0.2345322</td><td>0.7388976</td><td>-0.3062498</td></tr>\n",
       "\t<tr><th scope=row>2</th><td>00275248-3d78-4fdb-8e5c-8ff1f76aebea</td><td>-1.2041476</td><td> 1.0830212</td><td> 0.27801178</td><td>-0.62611003</td><td>-0.5813707</td><td> 0.24855343</td><td>-0.7175350</td><td> 0.2814244</td><td>-0.23523246</td><td>⋯</td><td>-0.81754631</td><td>-0.5610249</td><td>-0.0009715101</td><td>-0.7784105</td><td> 1.3835981</td><td>-0.4334056</td><td>-0.1877926</td><td>-0.3975997</td><td>0.1744364</td><td>-0.4046076</td></tr>\n",
       "\t<tr><th scope=row>3</th><td>002b83e4-5cce-414a-8570-871a50ae0964</td><td> 0.2940109</td><td>-0.6563918</td><td> 0.07647292</td><td> 0.06773408</td><td> 0.3083236</td><td>-0.06192013</td><td>-0.7370951</td><td>-0.1126775</td><td> 0.22240140</td><td>⋯</td><td> 0.52365099</td><td> 0.3585112</td><td>-0.2053615213</td><td>-0.1120970</td><td>-0.5390374</td><td>-0.7250643</td><td>-0.1877926</td><td>-0.5907831</td><td>0.3864675</td><td> 0.2528562</td></tr>\n",
       "\t<tr><th scope=row>4</th><td>005eec3f-d746-480f-ae2c-bc6f1151548d</td><td>-1.3337162</td><td> 1.4547264</td><td> 0.49313225</td><td> 0.45603900</td><td>-1.0918818</td><td>-1.18351563</td><td>-1.9157382</td><td>-0.5775435</td><td>-0.07660151</td><td>⋯</td><td>-0.27505307</td><td>-1.3574765</td><td>-0.6525911498</td><td>-0.1318884</td><td>-0.3106055</td><td>-0.7827532</td><td>-0.1877926</td><td>-0.3274716</td><td>0.7008530</td><td> 0.5785962</td></tr>\n",
       "\t<tr><th scope=row>5</th><td>00b00ae4-229d-455d-84f1-d6face4876b1</td><td> 1.7131001</td><td>-1.2060316</td><td>-0.32805634</td><td>-0.03080027</td><td> 3.2416831</td><td> 1.26642096</td><td> 1.5271694</td><td>-0.5775435</td><td> 0.75768133</td><td>⋯</td><td> 1.59439615</td><td> 2.9123134</td><td>-1.1159542610</td><td>-0.7784105</td><td>-0.5390374</td><td>-0.7424513</td><td>-0.1877926</td><td>-0.6509695</td><td>0.4060470</td><td> 0.5467661</td></tr>\n",
       "\t<tr><th scope=row>6</th><td>00df2b78-66c8-4009-89e0-0e14e15e4208</td><td> 1.5084163</td><td>-0.8589597</td><td>-1.03118100</td><td>-1.02730679</td><td>-0.4959203</td><td>-0.57201990</td><td> 0.4816479</td><td>-0.4599295</td><td>-0.97841257</td><td>⋯</td><td>-0.02986993</td><td> 0.6262758</td><td>-0.9415702944</td><td>-0.7784105</td><td>-0.5390374</td><td>-0.6196710</td><td>-0.1877926</td><td>-0.4166064</td><td>0.7989094</td><td>-0.4272128</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 28\n",
       "\\begin{tabular}{r|lllllllllllllllllllll}\n",
       "  & SA\\_GUID\\_\\_1 & early\\_childhood & age\\_middle\\_to\\_oldest\\_old & poor\\_health & disability & one\\_parent\\_households & three\\_or\\_more\\_children\\_households & low\\_skilled\\_employment & farmers & unemployment & ⋯ & not\\_volunteers & primary\\_school\\_age & one\\_person\\_households & no\\_central\\_heating & private\\_water\\_supply & year\\_built & mobile\\_home & unoccupied\\_dwellings & tree\\_cover\\_density & impervious\\\\\n",
       "  & <chr> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & ⋯ & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl>\\\\\n",
       "\\hline\n",
       "\t1 & 000581a3-4ebd-4a74-b5f8-0bd78cd7ede5 &  3.3880435 & -0.8683184 & -0.72494112 & -0.92235833 & -0.9537932 & -0.28864382 & -0.3191812 & -0.5775435 & -0.61650259 & ⋯ &  0.88627118 &  1.7138413 & -1.4596182731 & -0.7784105 & -0.5390374 & -0.8371139 & -0.1877926 & -0.2345322 & 0.7388976 & -0.3062498\\\\\n",
       "\t2 & 00275248-3d78-4fdb-8e5c-8ff1f76aebea & -1.2041476 &  1.0830212 &  0.27801178 & -0.62611003 & -0.5813707 &  0.24855343 & -0.7175350 &  0.2814244 & -0.23523246 & ⋯ & -0.81754631 & -0.5610249 & -0.0009715101 & -0.7784105 &  1.3835981 & -0.4334056 & -0.1877926 & -0.3975997 & 0.1744364 & -0.4046076\\\\\n",
       "\t3 & 002b83e4-5cce-414a-8570-871a50ae0964 &  0.2940109 & -0.6563918 &  0.07647292 &  0.06773408 &  0.3083236 & -0.06192013 & -0.7370951 & -0.1126775 &  0.22240140 & ⋯ &  0.52365099 &  0.3585112 & -0.2053615213 & -0.1120970 & -0.5390374 & -0.7250643 & -0.1877926 & -0.5907831 & 0.3864675 &  0.2528562\\\\\n",
       "\t4 & 005eec3f-d746-480f-ae2c-bc6f1151548d & -1.3337162 &  1.4547264 &  0.49313225 &  0.45603900 & -1.0918818 & -1.18351563 & -1.9157382 & -0.5775435 & -0.07660151 & ⋯ & -0.27505307 & -1.3574765 & -0.6525911498 & -0.1318884 & -0.3106055 & -0.7827532 & -0.1877926 & -0.3274716 & 0.7008530 &  0.5785962\\\\\n",
       "\t5 & 00b00ae4-229d-455d-84f1-d6face4876b1 &  1.7131001 & -1.2060316 & -0.32805634 & -0.03080027 &  3.2416831 &  1.26642096 &  1.5271694 & -0.5775435 &  0.75768133 & ⋯ &  1.59439615 &  2.9123134 & -1.1159542610 & -0.7784105 & -0.5390374 & -0.7424513 & -0.1877926 & -0.6509695 & 0.4060470 &  0.5467661\\\\\n",
       "\t6 & 00df2b78-66c8-4009-89e0-0e14e15e4208 &  1.5084163 & -0.8589597 & -1.03118100 & -1.02730679 & -0.4959203 & -0.57201990 &  0.4816479 & -0.4599295 & -0.97841257 & ⋯ & -0.02986993 &  0.6262758 & -0.9415702944 & -0.7784105 & -0.5390374 & -0.6196710 & -0.1877926 & -0.4166064 & 0.7989094 & -0.4272128\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 28\n",
       "\n",
       "| <!--/--> | SA_GUID__1 &lt;chr&gt; | early_childhood &lt;dbl&gt; | age_middle_to_oldest_old &lt;dbl&gt; | poor_health &lt;dbl&gt; | disability &lt;dbl&gt; | one_parent_households &lt;dbl&gt; | three_or_more_children_households &lt;dbl&gt; | low_skilled_employment &lt;dbl&gt; | farmers &lt;dbl&gt; | unemployment &lt;dbl&gt; | ⋯ ⋯ | not_volunteers &lt;dbl&gt; | primary_school_age &lt;dbl&gt; | one_person_households &lt;dbl&gt; | no_central_heating &lt;dbl&gt; | private_water_supply &lt;dbl&gt; | year_built &lt;dbl&gt; | mobile_home &lt;dbl&gt; | unoccupied_dwellings &lt;dbl&gt; | tree_cover_density &lt;dbl&gt; | impervious &lt;dbl&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| 1 | 000581a3-4ebd-4a74-b5f8-0bd78cd7ede5 |  3.3880435 | -0.8683184 | -0.72494112 | -0.92235833 | -0.9537932 | -0.28864382 | -0.3191812 | -0.5775435 | -0.61650259 | ⋯ |  0.88627118 |  1.7138413 | -1.4596182731 | -0.7784105 | -0.5390374 | -0.8371139 | -0.1877926 | -0.2345322 | 0.7388976 | -0.3062498 |\n",
       "| 2 | 00275248-3d78-4fdb-8e5c-8ff1f76aebea | -1.2041476 |  1.0830212 |  0.27801178 | -0.62611003 | -0.5813707 |  0.24855343 | -0.7175350 |  0.2814244 | -0.23523246 | ⋯ | -0.81754631 | -0.5610249 | -0.0009715101 | -0.7784105 |  1.3835981 | -0.4334056 | -0.1877926 | -0.3975997 | 0.1744364 | -0.4046076 |\n",
       "| 3 | 002b83e4-5cce-414a-8570-871a50ae0964 |  0.2940109 | -0.6563918 |  0.07647292 |  0.06773408 |  0.3083236 | -0.06192013 | -0.7370951 | -0.1126775 |  0.22240140 | ⋯ |  0.52365099 |  0.3585112 | -0.2053615213 | -0.1120970 | -0.5390374 | -0.7250643 | -0.1877926 | -0.5907831 | 0.3864675 |  0.2528562 |\n",
       "| 4 | 005eec3f-d746-480f-ae2c-bc6f1151548d | -1.3337162 |  1.4547264 |  0.49313225 |  0.45603900 | -1.0918818 | -1.18351563 | -1.9157382 | -0.5775435 | -0.07660151 | ⋯ | -0.27505307 | -1.3574765 | -0.6525911498 | -0.1318884 | -0.3106055 | -0.7827532 | -0.1877926 | -0.3274716 | 0.7008530 |  0.5785962 |\n",
       "| 5 | 00b00ae4-229d-455d-84f1-d6face4876b1 |  1.7131001 | -1.2060316 | -0.32805634 | -0.03080027 |  3.2416831 |  1.26642096 |  1.5271694 | -0.5775435 |  0.75768133 | ⋯ |  1.59439615 |  2.9123134 | -1.1159542610 | -0.7784105 | -0.5390374 | -0.7424513 | -0.1877926 | -0.6509695 | 0.4060470 |  0.5467661 |\n",
       "| 6 | 00df2b78-66c8-4009-89e0-0e14e15e4208 |  1.5084163 | -0.8589597 | -1.03118100 | -1.02730679 | -0.4959203 | -0.57201990 |  0.4816479 | -0.4599295 | -0.97841257 | ⋯ | -0.02986993 |  0.6262758 | -0.9415702944 | -0.7784105 | -0.5390374 | -0.6196710 | -0.1877926 | -0.4166064 | 0.7989094 | -0.4272128 |\n",
       "\n"
      ],
      "text/plain": [
       "  SA_GUID__1                           early_childhood age_middle_to_oldest_old\n",
       "1 000581a3-4ebd-4a74-b5f8-0bd78cd7ede5  3.3880435      -0.8683184              \n",
       "2 00275248-3d78-4fdb-8e5c-8ff1f76aebea -1.2041476       1.0830212              \n",
       "3 002b83e4-5cce-414a-8570-871a50ae0964  0.2940109      -0.6563918              \n",
       "4 005eec3f-d746-480f-ae2c-bc6f1151548d -1.3337162       1.4547264              \n",
       "5 00b00ae4-229d-455d-84f1-d6face4876b1  1.7131001      -1.2060316              \n",
       "6 00df2b78-66c8-4009-89e0-0e14e15e4208  1.5084163      -0.8589597              \n",
       "  poor_health disability  one_parent_households\n",
       "1 -0.72494112 -0.92235833 -0.9537932           \n",
       "2  0.27801178 -0.62611003 -0.5813707           \n",
       "3  0.07647292  0.06773408  0.3083236           \n",
       "4  0.49313225  0.45603900 -1.0918818           \n",
       "5 -0.32805634 -0.03080027  3.2416831           \n",
       "6 -1.03118100 -1.02730679 -0.4959203           \n",
       "  three_or_more_children_households low_skilled_employment farmers   \n",
       "1 -0.28864382                       -0.3191812             -0.5775435\n",
       "2  0.24855343                       -0.7175350              0.2814244\n",
       "3 -0.06192013                       -0.7370951             -0.1126775\n",
       "4 -1.18351563                       -1.9157382             -0.5775435\n",
       "5  1.26642096                        1.5271694             -0.5775435\n",
       "6 -0.57201990                        0.4816479             -0.4599295\n",
       "  unemployment ⋯ not_volunteers primary_school_age one_person_households\n",
       "1 -0.61650259  ⋯  0.88627118     1.7138413         -1.4596182731        \n",
       "2 -0.23523246  ⋯ -0.81754631    -0.5610249         -0.0009715101        \n",
       "3  0.22240140  ⋯  0.52365099     0.3585112         -0.2053615213        \n",
       "4 -0.07660151  ⋯ -0.27505307    -1.3574765         -0.6525911498        \n",
       "5  0.75768133  ⋯  1.59439615     2.9123134         -1.1159542610        \n",
       "6 -0.97841257  ⋯ -0.02986993     0.6262758         -0.9415702944        \n",
       "  no_central_heating private_water_supply year_built mobile_home\n",
       "1 -0.7784105         -0.5390374           -0.8371139 -0.1877926 \n",
       "2 -0.7784105          1.3835981           -0.4334056 -0.1877926 \n",
       "3 -0.1120970         -0.5390374           -0.7250643 -0.1877926 \n",
       "4 -0.1318884         -0.3106055           -0.7827532 -0.1877926 \n",
       "5 -0.7784105         -0.5390374           -0.7424513 -0.1877926 \n",
       "6 -0.7784105         -0.5390374           -0.6196710 -0.1877926 \n",
       "  unoccupied_dwellings tree_cover_density impervious\n",
       "1 -0.2345322           0.7388976          -0.3062498\n",
       "2 -0.3975997           0.1744364          -0.4046076\n",
       "3 -0.5907831           0.3864675           0.2528562\n",
       "4 -0.3274716           0.7008530           0.5785962\n",
       "5 -0.6509695           0.4060470           0.5467661\n",
       "6 -0.4166064           0.7989094          -0.4272128"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 28</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>SA_GUID__1</th><th scope=col>early_childhood</th><th scope=col>age_middle_to_oldest_old</th><th scope=col>poor_health</th><th scope=col>disability</th><th scope=col>one_parent_households</th><th scope=col>three_or_more_children_households</th><th scope=col>low_skilled_employment</th><th scope=col>farmers</th><th scope=col>unemployment</th><th scope=col>⋯</th><th scope=col>not_volunteers</th><th scope=col>primary_school_age</th><th scope=col>one_person_households</th><th scope=col>no_central_heating</th><th scope=col>private_water_supply</th><th scope=col>year_built</th><th scope=col>mobile_home</th><th scope=col>unoccupied_dwellings</th><th scope=col>tree_cover_density</th><th scope=col>impervious</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>⋯</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>1</th><td>000581a3-4ebd-4a74-b5f8-0bd78cd7ede5</td><td> 3.3880435</td><td>-0.8683184</td><td>-0.72494112</td><td>-0.92235833</td><td>-0.9537932</td><td>-0.28864382</td><td>-0.3191812</td><td>-0.5775435</td><td>-0.61650259</td><td>⋯</td><td> 0.88627118</td><td>-1.7138413</td><td>-1.4596182731</td><td>-0.7784105</td><td>-0.5390374</td><td>-0.8371139</td><td>-0.1877926</td><td>-0.2345322</td><td>0.7388976</td><td>-0.3062498</td></tr>\n",
       "\t<tr><th scope=row>2</th><td>00275248-3d78-4fdb-8e5c-8ff1f76aebea</td><td>-1.2041476</td><td> 1.0830212</td><td> 0.27801178</td><td>-0.62611003</td><td>-0.5813707</td><td> 0.24855343</td><td>-0.7175350</td><td> 0.2814244</td><td>-0.23523246</td><td>⋯</td><td>-0.81754631</td><td> 0.5610249</td><td>-0.0009715101</td><td>-0.7784105</td><td> 1.3835981</td><td>-0.4334056</td><td>-0.1877926</td><td>-0.3975997</td><td>0.1744364</td><td>-0.4046076</td></tr>\n",
       "\t<tr><th scope=row>3</th><td>002b83e4-5cce-414a-8570-871a50ae0964</td><td> 0.2940109</td><td>-0.6563918</td><td> 0.07647292</td><td> 0.06773408</td><td> 0.3083236</td><td>-0.06192013</td><td>-0.7370951</td><td>-0.1126775</td><td> 0.22240140</td><td>⋯</td><td> 0.52365099</td><td>-0.3585112</td><td>-0.2053615213</td><td>-0.1120970</td><td>-0.5390374</td><td>-0.7250643</td><td>-0.1877926</td><td>-0.5907831</td><td>0.3864675</td><td> 0.2528562</td></tr>\n",
       "\t<tr><th scope=row>4</th><td>005eec3f-d746-480f-ae2c-bc6f1151548d</td><td>-1.3337162</td><td> 1.4547264</td><td> 0.49313225</td><td> 0.45603900</td><td>-1.0918818</td><td>-1.18351563</td><td>-1.9157382</td><td>-0.5775435</td><td>-0.07660151</td><td>⋯</td><td>-0.27505307</td><td> 1.3574765</td><td>-0.6525911498</td><td>-0.1318884</td><td>-0.3106055</td><td>-0.7827532</td><td>-0.1877926</td><td>-0.3274716</td><td>0.7008530</td><td> 0.5785962</td></tr>\n",
       "\t<tr><th scope=row>5</th><td>00b00ae4-229d-455d-84f1-d6face4876b1</td><td> 1.7131001</td><td>-1.2060316</td><td>-0.32805634</td><td>-0.03080027</td><td> 3.2416831</td><td> 1.26642096</td><td> 1.5271694</td><td>-0.5775435</td><td> 0.75768133</td><td>⋯</td><td> 1.59439615</td><td>-2.9123134</td><td>-1.1159542610</td><td>-0.7784105</td><td>-0.5390374</td><td>-0.7424513</td><td>-0.1877926</td><td>-0.6509695</td><td>0.4060470</td><td> 0.5467661</td></tr>\n",
       "\t<tr><th scope=row>6</th><td>00df2b78-66c8-4009-89e0-0e14e15e4208</td><td> 1.5084163</td><td>-0.8589597</td><td>-1.03118100</td><td>-1.02730679</td><td>-0.4959203</td><td>-0.57201990</td><td> 0.4816479</td><td>-0.4599295</td><td>-0.97841257</td><td>⋯</td><td>-0.02986993</td><td>-0.6262758</td><td>-0.9415702944</td><td>-0.7784105</td><td>-0.5390374</td><td>-0.6196710</td><td>-0.1877926</td><td>-0.4166064</td><td>0.7989094</td><td>-0.4272128</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 28\n",
       "\\begin{tabular}{r|lllllllllllllllllllll}\n",
       "  & SA\\_GUID\\_\\_1 & early\\_childhood & age\\_middle\\_to\\_oldest\\_old & poor\\_health & disability & one\\_parent\\_households & three\\_or\\_more\\_children\\_households & low\\_skilled\\_employment & farmers & unemployment & ⋯ & not\\_volunteers & primary\\_school\\_age & one\\_person\\_households & no\\_central\\_heating & private\\_water\\_supply & year\\_built & mobile\\_home & unoccupied\\_dwellings & tree\\_cover\\_density & impervious\\\\\n",
       "  & <chr> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & ⋯ & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl>\\\\\n",
       "\\hline\n",
       "\t1 & 000581a3-4ebd-4a74-b5f8-0bd78cd7ede5 &  3.3880435 & -0.8683184 & -0.72494112 & -0.92235833 & -0.9537932 & -0.28864382 & -0.3191812 & -0.5775435 & -0.61650259 & ⋯ &  0.88627118 & -1.7138413 & -1.4596182731 & -0.7784105 & -0.5390374 & -0.8371139 & -0.1877926 & -0.2345322 & 0.7388976 & -0.3062498\\\\\n",
       "\t2 & 00275248-3d78-4fdb-8e5c-8ff1f76aebea & -1.2041476 &  1.0830212 &  0.27801178 & -0.62611003 & -0.5813707 &  0.24855343 & -0.7175350 &  0.2814244 & -0.23523246 & ⋯ & -0.81754631 &  0.5610249 & -0.0009715101 & -0.7784105 &  1.3835981 & -0.4334056 & -0.1877926 & -0.3975997 & 0.1744364 & -0.4046076\\\\\n",
       "\t3 & 002b83e4-5cce-414a-8570-871a50ae0964 &  0.2940109 & -0.6563918 &  0.07647292 &  0.06773408 &  0.3083236 & -0.06192013 & -0.7370951 & -0.1126775 &  0.22240140 & ⋯ &  0.52365099 & -0.3585112 & -0.2053615213 & -0.1120970 & -0.5390374 & -0.7250643 & -0.1877926 & -0.5907831 & 0.3864675 &  0.2528562\\\\\n",
       "\t4 & 005eec3f-d746-480f-ae2c-bc6f1151548d & -1.3337162 &  1.4547264 &  0.49313225 &  0.45603900 & -1.0918818 & -1.18351563 & -1.9157382 & -0.5775435 & -0.07660151 & ⋯ & -0.27505307 &  1.3574765 & -0.6525911498 & -0.1318884 & -0.3106055 & -0.7827532 & -0.1877926 & -0.3274716 & 0.7008530 &  0.5785962\\\\\n",
       "\t5 & 00b00ae4-229d-455d-84f1-d6face4876b1 &  1.7131001 & -1.2060316 & -0.32805634 & -0.03080027 &  3.2416831 &  1.26642096 &  1.5271694 & -0.5775435 &  0.75768133 & ⋯ &  1.59439615 & -2.9123134 & -1.1159542610 & -0.7784105 & -0.5390374 & -0.7424513 & -0.1877926 & -0.6509695 & 0.4060470 &  0.5467661\\\\\n",
       "\t6 & 00df2b78-66c8-4009-89e0-0e14e15e4208 &  1.5084163 & -0.8589597 & -1.03118100 & -1.02730679 & -0.4959203 & -0.57201990 &  0.4816479 & -0.4599295 & -0.97841257 & ⋯ & -0.02986993 & -0.6262758 & -0.9415702944 & -0.7784105 & -0.5390374 & -0.6196710 & -0.1877926 & -0.4166064 & 0.7989094 & -0.4272128\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 28\n",
       "\n",
       "| <!--/--> | SA_GUID__1 &lt;chr&gt; | early_childhood &lt;dbl&gt; | age_middle_to_oldest_old &lt;dbl&gt; | poor_health &lt;dbl&gt; | disability &lt;dbl&gt; | one_parent_households &lt;dbl&gt; | three_or_more_children_households &lt;dbl&gt; | low_skilled_employment &lt;dbl&gt; | farmers &lt;dbl&gt; | unemployment &lt;dbl&gt; | ⋯ ⋯ | not_volunteers &lt;dbl&gt; | primary_school_age &lt;dbl&gt; | one_person_households &lt;dbl&gt; | no_central_heating &lt;dbl&gt; | private_water_supply &lt;dbl&gt; | year_built &lt;dbl&gt; | mobile_home &lt;dbl&gt; | unoccupied_dwellings &lt;dbl&gt; | tree_cover_density &lt;dbl&gt; | impervious &lt;dbl&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| 1 | 000581a3-4ebd-4a74-b5f8-0bd78cd7ede5 |  3.3880435 | -0.8683184 | -0.72494112 | -0.92235833 | -0.9537932 | -0.28864382 | -0.3191812 | -0.5775435 | -0.61650259 | ⋯ |  0.88627118 | -1.7138413 | -1.4596182731 | -0.7784105 | -0.5390374 | -0.8371139 | -0.1877926 | -0.2345322 | 0.7388976 | -0.3062498 |\n",
       "| 2 | 00275248-3d78-4fdb-8e5c-8ff1f76aebea | -1.2041476 |  1.0830212 |  0.27801178 | -0.62611003 | -0.5813707 |  0.24855343 | -0.7175350 |  0.2814244 | -0.23523246 | ⋯ | -0.81754631 |  0.5610249 | -0.0009715101 | -0.7784105 |  1.3835981 | -0.4334056 | -0.1877926 | -0.3975997 | 0.1744364 | -0.4046076 |\n",
       "| 3 | 002b83e4-5cce-414a-8570-871a50ae0964 |  0.2940109 | -0.6563918 |  0.07647292 |  0.06773408 |  0.3083236 | -0.06192013 | -0.7370951 | -0.1126775 |  0.22240140 | ⋯ |  0.52365099 | -0.3585112 | -0.2053615213 | -0.1120970 | -0.5390374 | -0.7250643 | -0.1877926 | -0.5907831 | 0.3864675 |  0.2528562 |\n",
       "| 4 | 005eec3f-d746-480f-ae2c-bc6f1151548d | -1.3337162 |  1.4547264 |  0.49313225 |  0.45603900 | -1.0918818 | -1.18351563 | -1.9157382 | -0.5775435 | -0.07660151 | ⋯ | -0.27505307 |  1.3574765 | -0.6525911498 | -0.1318884 | -0.3106055 | -0.7827532 | -0.1877926 | -0.3274716 | 0.7008530 |  0.5785962 |\n",
       "| 5 | 00b00ae4-229d-455d-84f1-d6face4876b1 |  1.7131001 | -1.2060316 | -0.32805634 | -0.03080027 |  3.2416831 |  1.26642096 |  1.5271694 | -0.5775435 |  0.75768133 | ⋯ |  1.59439615 | -2.9123134 | -1.1159542610 | -0.7784105 | -0.5390374 | -0.7424513 | -0.1877926 | -0.6509695 | 0.4060470 |  0.5467661 |\n",
       "| 6 | 00df2b78-66c8-4009-89e0-0e14e15e4208 |  1.5084163 | -0.8589597 | -1.03118100 | -1.02730679 | -0.4959203 | -0.57201990 |  0.4816479 | -0.4599295 | -0.97841257 | ⋯ | -0.02986993 | -0.6262758 | -0.9415702944 | -0.7784105 | -0.5390374 | -0.6196710 | -0.1877926 | -0.4166064 | 0.7989094 | -0.4272128 |\n",
       "\n"
      ],
      "text/plain": [
       "  SA_GUID__1                           early_childhood age_middle_to_oldest_old\n",
       "1 000581a3-4ebd-4a74-b5f8-0bd78cd7ede5  3.3880435      -0.8683184              \n",
       "2 00275248-3d78-4fdb-8e5c-8ff1f76aebea -1.2041476       1.0830212              \n",
       "3 002b83e4-5cce-414a-8570-871a50ae0964  0.2940109      -0.6563918              \n",
       "4 005eec3f-d746-480f-ae2c-bc6f1151548d -1.3337162       1.4547264              \n",
       "5 00b00ae4-229d-455d-84f1-d6face4876b1  1.7131001      -1.2060316              \n",
       "6 00df2b78-66c8-4009-89e0-0e14e15e4208  1.5084163      -0.8589597              \n",
       "  poor_health disability  one_parent_households\n",
       "1 -0.72494112 -0.92235833 -0.9537932           \n",
       "2  0.27801178 -0.62611003 -0.5813707           \n",
       "3  0.07647292  0.06773408  0.3083236           \n",
       "4  0.49313225  0.45603900 -1.0918818           \n",
       "5 -0.32805634 -0.03080027  3.2416831           \n",
       "6 -1.03118100 -1.02730679 -0.4959203           \n",
       "  three_or_more_children_households low_skilled_employment farmers   \n",
       "1 -0.28864382                       -0.3191812             -0.5775435\n",
       "2  0.24855343                       -0.7175350              0.2814244\n",
       "3 -0.06192013                       -0.7370951             -0.1126775\n",
       "4 -1.18351563                       -1.9157382             -0.5775435\n",
       "5  1.26642096                        1.5271694             -0.5775435\n",
       "6 -0.57201990                        0.4816479             -0.4599295\n",
       "  unemployment ⋯ not_volunteers primary_school_age one_person_households\n",
       "1 -0.61650259  ⋯  0.88627118    -1.7138413         -1.4596182731        \n",
       "2 -0.23523246  ⋯ -0.81754631     0.5610249         -0.0009715101        \n",
       "3  0.22240140  ⋯  0.52365099    -0.3585112         -0.2053615213        \n",
       "4 -0.07660151  ⋯ -0.27505307     1.3574765         -0.6525911498        \n",
       "5  0.75768133  ⋯  1.59439615    -2.9123134         -1.1159542610        \n",
       "6 -0.97841257  ⋯ -0.02986993    -0.6262758         -0.9415702944        \n",
       "  no_central_heating private_water_supply year_built mobile_home\n",
       "1 -0.7784105         -0.5390374           -0.8371139 -0.1877926 \n",
       "2 -0.7784105          1.3835981           -0.4334056 -0.1877926 \n",
       "3 -0.1120970         -0.5390374           -0.7250643 -0.1877926 \n",
       "4 -0.1318884         -0.3106055           -0.7827532 -0.1877926 \n",
       "5 -0.7784105         -0.5390374           -0.7424513 -0.1877926 \n",
       "6 -0.7784105         -0.5390374           -0.6196710 -0.1877926 \n",
       "  unoccupied_dwellings tree_cover_density impervious\n",
       "1 -0.2345322           0.7388976          -0.3062498\n",
       "2 -0.3975997           0.1744364          -0.4046076\n",
       "3 -0.5907831           0.3864675           0.2528562\n",
       "4 -0.3274716           0.7008530           0.5785962\n",
       "5 -0.6509695           0.4060470           0.5467661\n",
       "6 -0.4166064           0.7989094          -0.4272128"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Get the indicator weighting, previously loaded from the config file\n",
    "indicator_weighting <- indicator_mapping %>% select('indicator', 'weight')\n",
    "indicator_weighting <- indicator_weighting %>% spread(key = 'indicator', value = 'weight')\n",
    "\n",
    "# Get the column names and weights\n",
    "names <- names(indicator_weighting)\n",
    "weights <- indicator_weighting[, names]\n",
    "\n",
    "# Copy and rename the dataset\n",
    "indicator_data_weighted <- indicator_data\n",
    "head(indicator_data_weighted) \n",
    "\n",
    "# Multiply the indicators by the config file weighting\n",
    "indicator_data_weighted[, names] <- sweep(indicator_data_weighted[, names], 2, unlist(weights[, names]), \"*\")\n",
    "head(indicator_data_weighted)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "4305b36c-46c6-4d56-a328-9cf9b0cf485b",
   "metadata": {},
   "outputs": [
    {
     "data": {
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2x4H99ZHd+evf4fm3fbldRbw+v9Vw2v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",
      "text/plain": [
       "Plot with title “'early_childhood' domain histogram”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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d39PXej/jfWsp9a7XvigdZRrf/2rtX9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",
      "text/plain": [
       "Plot with title “'age_middle_to_oldest_old' domain histogram”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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rnVVxuaMvxjdXM7Tqv7LzmCBAAAG9KsB6SqNzQcLXpiQ+vuzdWnxuf+TfUL1anV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\nhoFIkiRJUsXwFDtJkiRJiv4/apVxG/N2KygAAAAASUVORK5CYII=",
      "text/plain": [
       "Plot with title “'poor_health' domain histogram”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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Ejsj1ff0zCd/hXVZ6u/aJhUAmBNCEgA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\n4RA7SZIkSYr+B1+dPpFiSKEgAAAAAElFTkSuQmCC",
      "text/plain": [
       "Plot with title “'disability' domain histogram”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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Gwhsx6Qjq2uq968wvanVr9T3aO1BaTDqhc27MFaiVuv4bkAAIB1MusB6bqGw+UO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\nJEmSpOj/AyxWmUmFcQ+XAAAAAElFTkSuQmCC",
      "text/plain": [
       "Plot with title “'one_parent_households' domain histogram”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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whIwLjY7gUveEFOPvnkKQ0XXnhh3va2ty0eQk0AwDzjHCQAAIBKQAIAAKgcYse4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\nK3+0AQMlBiJJkiRJE4ZN7CRJkiQp+v+B5S7u4nQE2AAAAABJRU5ErkJggg==",
      "text/plain": [
       "Plot with title “'three_or_more_children_households' domain histogram”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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KcHihZSYz/8KWX//HzKfvbcTO9ic0Kb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\nXa09eCehodcAAAAASUVORK5CYII=",
      "text/plain": [
       "Plot with title “'low_skilled_employment' domain histogram”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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ABgIiABAABMBCQAAICJgAQAADARkAAA\nACYCEgAAwERAAgAAmAhIAAAAEwEJAABgIiABAABMBCQAAICJgAQAADARkAAAACYCEgAAwERA\nAgAAmAhIAAAAEwEJAABgIiABAABMDp51ATNwUHVkdXj1cPWV2ZYDAABsFYsyg3RMdWH1ierB\n6o+rL06XH6g+Vr21+upZFQgAAMzeIswgvaa6ujqqMVv0mUY4erQ6rBGeXl69qnpL9f2NIAUA\nACyYeQ9IR1dXVvdXb6w+VD2xm3GHV6+vLq6uqV7SfC69e1514pLvv1zdNKNaAABgS9o+bRfM\nuI6NcHbjd3vFGsd/zzT+Bzasotn61wcffPD2o446avszn/nM7Y1ZNAAAWHQXNOWieT8G6QXV\n49XH1zj+I9VT1Ys3rKLZesarX/3qrr322t7+9rfX/M8gAgDAusx7QHqgOqR67hrHP6/xnDyw\nYRUBAABb1rwHpF+bvr6rOnSVsUdWlzam1j68kUUBAABb07wvsfp09ZPVudV3V9dVtza62D3W\n6GK3rXpZ9brqOdVPVLfPolgAAGC25j0gVb250dr7rdU5exh3R3V+9b7NKAoAANh6FiEgba/e\nXb2neml1QuOYpMOrR6o/qD5V3TarAgEAgK1hEQLSDtsbQeiWxvFGh1cPN5/nOwIAAPbCvDdp\n2OGY6sLqE9WD1R83jkN6sNGx7mONJXhfPasCAQCA2VuEGaTXVFdXRzVmiz7TCEePNpo0HFO9\nvHpV9Zbq+xtBCgAAWDDzHpCOrq6s7q/eWH2oemI34w6vXl9dXF1TvSRL7wAAYOHM+xK776ue\nXf1g9YF2H45qNGt4f/WG6uuq125KdQAAwJYy7wHpBdXj1cfXOP4j1VPVizesIgAAYMua94D0\nQHVIo633Wjyv8Zw8sGEVAQAAW9a8B6Rfm76+qzp0lbFHVpc22oF/eCOLAgAAtqZ5b9Lw6eon\nq3Or766uq25tdLF7rNHFblv1sup11XOqn6hun0WxAADAbM17QKp6c6O191urc/Yw7o7q/Op9\nm1EUAACw9SxCQNpevbt6T/XS6oTGMUmHN7rX/UH1qeq2WRUIAABsDYsQkHbY3ghCtzSONzq8\nejjnOwIAACbz3qRhh2OqC6tPVA9Wf9w4DunBRse6jzWW4H31rAoEAABmbxFmkF5TXV0d1Zgt\n+kwjHD3aaNJwTPXy6lXVW6rvbwQpAABgwcx7QDq6urK6v3pj9aHqid2MO7x6fXVxdU31kiy9\nAwCAhTPvS+y+r3p29YPVB9p9OKrRrOH91Ruqr6teuynVAQAAW8q8zyC9oHq8+vgax3+keqp6\n8T7+3BdWv9FYwrcWXzWN/RPVk/v4swEAgL007wHpgeqQRlvvP1zD+Oc1wsoD+/hzP98459Kh\naxz/kurt1TMSkAAAYGbmPSD92vT1XdUPVY/tYeyR1aWNduAf3sef+2R17TrGv7IRkAAAgBma\n94D06eonq3Or766uq25tdLF7rLGsbVv1sup11XOqn6hun0WxAADAbM17QKp6c6O191sby95W\nckd1fvW+zSgKAADYehYhIG2v3l29p3ppdULjmKTDG93r/qD6VHXbrAoEAAC2hkUISDtsbwSh\nWxrHGx1ePZzzHQEAAJN5Pw/SDsdUF1afqB6s/rhxHNKDjY51H2sswfvqWRUIAADM3iLMIL2m\nuro6qjFb9JlGOHq00aThmOrl1auqt1Tf3whSAADAgpn3gHR0dWV1f/XG6kPVE7sZd3j1+uri\n6prGeYksvQMAgAUz70vsvq96dvWD1QfafTiq0azh/dUbqq+rXrsp1QEAAFvKvAekF1SPVx9f\n4/iPVE9VL96wigAAgC1r3gPSA9Uhjbbea/G8xnPywIZVBAAAbFnzHpB+bfr6rurQVcYeWV3a\naAf+4Y0sCgAA2JrmvUnDp6ufrM6tvru6rrq10cXusUYXu23Vy6rXVc+pfqK6fRbFAgAAszXv\nAanqzY3W3m+tztnDuDuq86v3bUZRAADA1rMIAWl79e7qPdVLqxMaxyQd3uhe9wfVp6rbZlUg\nAACwNSxCQNpheyMIfWrWhQAAAFvTvDdpWK/DqruqvzPrQgAAgM0nIO3qoMaJYr961oUAAACb\nT0ACAACYzPsxSK+ZtrV6xkYVAgAAbH3zHpBeWb1l1kUAAAAHhnkPSP+p+ofVv6kuX8P4Q6uP\nbmhFAADAljXvAek3q4saJ4l9T3XLKuMP3/CKAACALWsRmjS8vbq5urI6Ysa1AAAAW9i8zyBV\nPVH9QPWK6jnV5/cw9snqhuq3N6EuAABgi1mEgFTj5K9Xr2Hc49VpG1wLAACwRS3CEjsAAIA1\nEZAAAAAmAhIAAMBEQAIAAJgISAAAABMBCQAAYCIgAQAATAQkAACAiYAEAAAwEZAAAAAmAhIA\nAMBEQAIAAJgISAAAABMBCQAAYCIgAQAATAQkAACAiYAEAAAwEZAAAAAmAhIAAMBEQAIAAJgI\nSAAAABMBCQAAYCIgAQAATAQkAACAiYAEAAAwEZAAAAAmAhIAAMBEQAIAAJgISAAAABMBCQAA\nYCIgAQAATAQkAACAiYAEAAAwEZAAAAAmAhIAAMBEQAIAAJgISAAAABMBCQAAYCIgAQAATAQk\nAACAiYAEAAAwEZAAAAAmAhIAAMBEQAIAAJgISAAAABMBCQAAYCIgAQAATAQkAACAiYAEAAAw\nEZAAAAAmAhIAAMBEQAIAAJgISAAAABMBCQAAYCIgAQAATAQkAACAiYAEAAAwEZAAAAAmAhIA\nAMBEQAIAAJgISAAAAJODZ13AJjqyOrU6sXpudXj1cHVPdXN1Y/XYrIoDAABmbxEC0qHVRdV5\n1RF7GHd/9Y7qndX2TagLAADYYhYhIF1ZnVndVF1d3Vp9sXq0Oqw6pjqpOqsRkI6rzplJpQAA\nwEzNe0A6uRGOLq7Ob+WZoWuqt1eXVW+qLqlu2YwCAQCArWPemzSc0ghFF7b6srknqrdNl0/d\nwJoAAIAtat4D0mHVk9WDaxx/X/VUo6EDAACwYOY9IN3RWEZ42hrHn9l4Tm7bsIoAAIAta94D\n0vXVXdUV1bnVthXGHdtYXnd5ded0PwAAYMHMe5OGh6ozqmurS6ft3kYXu8caS/C2VUdP42+v\nTm90uAMAABbMvAekqk9Wx1dnN5bandDOE8U+Ut1d3VBdV11VPT6bMgEAgFlbhIBUYybpvdMG\nAACwW4sSkGp0pju1OrGdM0gPV/dUN1c3NpbdAQAAC2oRAtKh1UXVedURexh3f/WO6p2tfs4k\nAABgDi1CQLqy0b77purq6tZGk4ZHG00ajqlOqs5qBKTjqnNmUikAADBT8x6QTm6Eo4ur81t5\nZuia6u3VZdWbqkuqWzajQAAAYOuY9/MgndIIRRe2+rK5JxrnQqpxrBIAALBg5j0gHVY9WT24\nxvH3VU81GjoAAAALZt4D0h2NZYSnrXH8mY3n5LYNqwgAANiy5j0gXV/dVV1RnVttW2HcsY3l\ndZdXd073AwAAFsy8N2l4qDqjura6dNrubXSxe6yxBG9bdfQ0/vbq9EaHOwAAYMHMe0Cq+mR1\nfHV2Y6ndCe08Uewj1d3VDdV11VXV47MpEwAAmLVFCEg1ZpLeO22b4YXVbzRmqNZix+tw0IZU\nAwAArMmiBKQanelOrU5s5wzSw9U91c3VjY1ld/vD5xvnU1prQHpJ4zxMq7UiBwAANtAiBKRD\nq4uq86oj9jDu/uod1Tvb96DyZPWBdYx/ZSMgAQAAM7QIAenKRvvum6qrq1sbTRoebczwHFOd\nVJ3VCEjHVefMpFIAAGCm5j0gndwIRxdX57fyzNA1jRmcyxpL4y6pbtmMAgEAgK1j3s+DdEoj\nFF3Y6svmnmicC6nGsUoAAMCCmfeAdFjjeKAH1zj+vuqpRkMHAABgwcx7QLqjsYzwtDWOP7Px\nnNy2YRUBAABb1rwHpOuru6orqnOrbSuMO7axvO7y6s7pfgAAwIKZ9yYND1VnVNdWl07bvY0u\ndo81luBtq46ext9end7ocAcAACyYeQ9IVZ+sjq/Obiy1O6GdJ4p9pLq7uqG6rrqqenw2ZQIA\nALO2CAGpxkzSe6cNAABgtxYlIFU9vzFj9OUl1x3eWFJ3XHVPYxbpy0+/KwAAsAgWISAdX11Z\nfdv0/Y3VGxrnRfpYIxztcF/1uul6AABgwSxCQPr56lsbwejh6pWNwPQ71VdX/6DR6e6ERqe7\nqxqhSaMGAABYMPMekL67+tPVD1S/MF33wurm6frvajRx2OGXq1+tvqf64KZVCQAAbAnzfh6k\nP1V9qZ3hqOqzja51d7drOKr6SHV/9c2bURwAALC1zHtAOqr6491c/5XqwRXu81B16IZVBAAA\nbFnzHpA+Wx1bPW/JdQc3jkM6vp0niN3h66axv78ZxQEAAFvLvAekDzdmiz7QOA7p+xvL7Z5T\n/Y/q3zXaf1d9U/Wz1VPT/QAAgAUz700a7qv+bvVT1X+Yrtte/XD1e42mDL9fPdbOZXX/JDNI\nAACwkOY9IFVd1pgtel2jdfe11aem2/589dbqxdUXGjNK/2YGNQIAAFvAIgSkqk9M23IfnTYA\nAIC5PwYJAABgzQQkAACAiYAEAAAwEZAAAAAmAhIAAMBEQAIAAJgISAAAABMBCQAAYCIgAQAA\nTAQkAACAiYAEAAAwEZAAAAAmAhIAAMBEQAIAAJgISAAAABMBCQAAYCIgAQAATAQkAACAiYAE\nAAAwEZAAAAAmAhIAAMBEQAIAAJgISAAAABMBCQAAYCIgAQAATAQkAACAiYAEAAAwEZAAAAAm\nAhIAAMBEQAIAAJgISAAAABMBCQAAYCIgAQAATAQkAACAiYAEAAAwEZAAAAAmAhIAAMBEQAIA\nAJgISAAAABMBCQAAYCIgAQAATAQkAACAiYAEAAAwEZAAAAAmAhIAAMBEQAIAAJgISAAAABMB\nCQAAYCIgAQAATAQkAACAiYAEAAAwEZAAAAAmAhIAAMBEQAIAAJgISAAAABMBCQAAYCIgAQAA\nTAQkAACAiYAEAAAwEZAAAAAmAhIAAMBEQAIAAJgISAAAABMBCQAAYCIgAQAATAQkAACAycGz\nLmATHVmdWp1YPbc6vHq4uqe6ubqxemxWxQEAALO3CAHp0Oqi6rzqiD2Mu796R/XOavsm1AUA\nAGwxixCQrqzOrG6qrq5urb5YPVodVh1TnVSd1QhIx1XnzKRSAABgpuY9IJ3cCEcXV+e38szQ\nNdXbq8uqN1WXVLdsRoEAAMDWMe9NGk5phKILW33Z3BPV26bLp25gTQAAwBY17wHpsOrJ6sE1\njr+veqrR0AEAAFgw8x6Q7mgsIzxtjePPbDwnt21YRQAAwJY17wHp+uqu6orq3GrbCuOObSyv\nu7y6c7ofAACwYOa9ScND1RnVtdWl03Zvo4vdY40leNuqo6fxt1enNzrcAQAAC2beA1LVJ6vj\nq7MbS+1OaOeJYh+p7q5uqK6rrqoen02ZAADArC1CQKoxk/TeaQMAANitRQlINTrTnVqd2M4Z\npIere6qbqxsby+4AAIAFtQgB6dDqouq86og9jLu/ekf1zlY/ZxIAADCHFiEgXdlo331TdXV1\na6NJw6ONJg3HVCdVZzUC0nHVOTOpFAAAmKl5D0gnN8LRxdX5rTwzdE319uqy6k3VJdUtm1Eg\nAACwdcz7eZBOaYSiC1t92dwTjXMh1ThWCQAAWDDzHpAOq56sHlzj+PuqpxoNHQAAgAUz7wHp\njsYywtPWOP7MxnNy24ZVBAAAbFnzHpCur+6qrqjOrbatMO7YxvK6y6s7p/sBAAALZt6bNDxU\nnVFdW106bfc2utg91liCt606ehp/e3V6o8MdAACwYOY9IFV9sjq+Orux1O6Edp4o9pHq7uqG\n6rrqqurx2ZQJAADM2iIEpBozSe+dts3wwurjjZPUrsWO1+GgDakGAABYk0UJSDU6051andjO\nGaSHq3uqm6sbG8vu9ofPV399+hlr8ZLGeZhWa0UOAABsoEUISIdWF1XnVUfsYdz91Tuqd7bv\nQeXJxpK9tXplIyABAAAztAgB6cpG++6bqqurWxtNGh5tNGk4pjqpOqsRkI6rzplJpQAAwEzN\ne0A6uRGOLq7Ob+WZoWsaMziXVW+qLqlu2YwCAQCArWPez4N0SiMUXdjqy+aeaCskcYoAACAA\nSURBVJwLqcaxSgAAwIKZ94B0WON4oAfXOP6+6qlGQwcAAGDBzHtAuqOxjPC0NY4/s/Gc3LZh\nFQEAAFvWvAek66u7qiuqc6ttK4w7trG87vLqzul+AADAgpn3Jg0PVWdU11aXTtu9jS52jzWW\n4G2rjp7G316d3uhwBwAALJh5D0hVn6yOr85uLLU7oZ0nin2kuru6oXHeoquqx2dTJgAAMGuL\nEJBqzCS9d9oAAAB2a1ECUtUzGh3tdvgT1fdVL2osqfut6tcbXewAAIAFtAgB6bjqfY3Zo/dP\n172m+rnqa5aNvbnRye53Nq06AABgy5j3LnaHVL9andzO2aPnV79YPbN6V+PYpB+prqy+pXEs\n0iIERwAAYJl5DwLf15hB+suNBgxVZzVOBPvnq48sGfsz1X+v/lljhulDm1cmAACwFcz7DNI3\nNWaOfmHJdS+sPteu4WiHy6rt1YkbXhkAALDlzHtAeqTRnOGoJdf9YSuf5+jJRkB6YoPrAgAA\ntqD1BKT/s/qpNTze7zWWtm0FvzZ9ffuS665pzCKdsJvxb2n8Dp/Y2LIAAICtaD0B6UXVK1YZ\n88zGSVhfstcV7V+3VD9dvbn6aPWGxuzRj1XXVv9XdUr1+un7H69+pfrYLIoFAABmay1NGj4+\nff366tlLvl/uoEZDhMOqL+97afvNudVdjVD0s8tu+7fLvr+y+uubUBMAALAFrSUgfah6eaPh\nwRHVSXsY+0DjXEM/t++l7TdPVf+4ek/12sbv8g2NE8U+UX2p+lT1weozM6oRAADYAtYSkH58\n+npBdUZ7Dkhb2R81ZoiunHUhAADA1rSe8yBd1s5zCQEAAMyd9QSku6ftmOpljdbZB60w9tPT\nBgAAcMBYT0Cqemc7W2HvyYWNJXkAAAAHjPUEpO+o3tpoaHBddW+jAcLurNTpDgAAYMtab0D6\nfKML3KMbUw4AAMDsrOdEsYdXtyYcAQAAc2o9AemT1Te3cmMGAACAA9p6AtKvN0LSP60O25Bq\nAAAAZmg9xyB9V/XZ6q9Vb6x+q/rSCmN/cdoAAAAOGOsJSP9bo8V31bOq793D2N9OQAIAAA4w\n6wlI76kur55cw9gH9q4cAACA2VlPQLp32gAAAObSegLSC6ZtNc+o7qru3KuKAAAAZmQ9AemH\nq/93jWMvrC5YdzUAAAAztJ6AdGN10Qq3fW31HdVx1T+ufnUf6wIAANh06wlIH5m2PfnR6i9V\n79rrigAAAGZkPSeKXYt/2ZhN+p79/LgAAAAbbn8HpKrPVS/bgMcFAADYUPs7IB1dfVv1R/v5\ncQEAADbceo5BOm3adueg6k9Wr66+pvrYPtYFAACw6dYTkF7RaMKwJw9Uf7u6da8rAgAAmJH1\nBKTLqg+ucNv26sHqd6rH97UoAACAWVhPQLp72gAAAObSegLSDsdUb2ycGPa503X3VP+luqK6\nf/+UBgAAsLnWG5C+r/r56qjd3HZW9Q+r06vf3Me6AAAANt162nw/qzFD9JXqzdW3VNum7Vur\nt1TPqK6uDt+/ZQIAAGy89cwgfW/jPEffXn1y2W1/WN1c3Vh9onpN9YH9USAAAMBmWc8M0osa\nxxotD0dL/ffq96pv3peiAAAAZmE9AenJ6plrfMyn9q4cAACA2VlPQLq1cRzSX9zDmO+tvj4n\nigUAAA5A6zkG6VeqOxuNGi6rPtI4L9JB1fOrV1d/rbq9+vD+LRMAAGDjrScgPV69rvqP1Y9O\n23L/qzpjGgsAAHBAWe95kD5dnVj9heqV1fOq7Y3mDf+5uqF6Yn8WCAAAsFnWE5AOaoShx6tr\np22HQxvBSHMGAADggLXWJg3f0Ti/0deucPvfqj5afeP+KAoAAGAW1hKQvrXRkOHPVN+5wpij\nq1dN4567f0oDAADYXGsJSP+mOqI6q7pmhTF/v/or1bHVpfunNAAAgM21WkD6lsbM0aXVv19l\n7M9W/7Y6sxGUAAAADiirBaRvm75escbH+5nqGY0OdwAAAAeU1QLS86avv7PGx7tz+vqCvSsH\nAABgdlYLSDtO+HrYGh/vyOnrQ3tXDgAAwOysFpB+d/r6ijU+3qnT18/tVTUAAAAztFpA+vXq\n0ept1SGrjH1W9feqP6p+dZ8rAwAA2GSrBaT7qp+uXl79h+prVhj34upXqhdVl1QP768CAQAA\nNsvBaxjzY9W3V6dXr64+WP1W9WD1J6uTq+9tdK/7leqCjSgUAABgo60lID1c/bnqx6tzq788\nbUt9sXpX9c7qyf1ZIAAAwGZZS0Cqncch/Xj1quqbGh3rvthoAf6xBCMAAOAAt9aAtMNXql+e\nNgAAgLmyWpMGAACAhSEgAQAATAQkAACAiYAEAAAwEZAAAAAmAhIAAMBEQAIAAJgISAAAABMB\nCQAAYCIgAQAATAQkAACAiYAEAAAwEZAAAAAmAhIAAMBEQAIAAJgISAAAABMBCQAAYCIgAQAA\nTA6edQGb6Mjq1OrE6rnV4dXD1T3VzdWN1WOzKg4AAJi9RQhIh1YXVedVR+xh3P3VO6p3Vts3\noS4AAGCLWYSAdGV1ZnVTdXV1a/XF6tHqsOqY6qTqrEZAOq46ZyaVAgAAMzXvAenkRji6uDq/\nlWeGrqneXl1Wvam6pLplMwoEAAC2jnlv0nBKIxRd2OrL5p6o3jZdPnUDawIAALaoeQ9Ih1VP\nVg+ucfx91VONhg4AAMCCmfeAdEdjGeFpaxx/ZuM5uW3DKgIAALaseQ9I11d3VVdU51bbVhh3\nbGN53eXVndP9AACABTPvTRoeqs6orq0unbZ7G13sHmsswdtWHT2Nv706vdHhDgAAWDDzHpCq\nPlkdX53dWGp3QjtPFPtIdXd1Q3VddVX1+GzKBAAAZm0RAlKNmaT3ThsAAMBuLUpAqtGZ7tTq\nxHbOID1c3VPdXN3YWHYHAAAsqEUISIdWF1XnVUfsYdz91Tuqd7b6OZMAAIA5tAgB6cpG++6b\nqqurWxtNGh5tNGk4pjqpOqsRkI6rzplJpQAAwEzNe0A6uRGOLq7Ob+WZoWuqt1eXVW+qLqlu\n2YwCAQCArWPez4N0SiMUXdjqy+aeaJwLqcaxSgAAwIKZ94B0WPVk9eAax99XPdVo6AAAACyY\neQ9IdzSWEZ62xvFnNp6T2zasIgAAYMua94B0fXVXdUV1brVthXHHNpbXXV7dOd0PAABYMPPe\npOGh6ozq2urSabu30cXuscYSvG3V0dP426vTGx3uAACABTPvAanqk9Xx1dmNpXYntPNEsY9U\nd1c3VNdVV1WPz6ZMAABg1hYhINWYSXrvtG2GF1a/WR2yxvE7XoeDNqQaAABgTRYlINXoTHdq\ndWI7Z5Aeru6pbq5ubCy72x9+r/qR6og1jn9J4zxMq7UiBwAANtAiBKRDq4uq89pzYLm/ekf1\nzvY9qDxVfXAd41/ZCEgAAMAMLUJAurLRvvum6urq1kaThkcbTRqOqU6qzmoEpOOqc2ZSKQAA\nMFPzHpBOboSji6vzW3lm6JrGDM5l1ZuqS6pbNqNAAABg65j38yCd0ghFF7b6srknGudCqnGs\nEgAAsGDmPSAdVj1ZPbjG8fc1jh86csMqAgAAtqx5D0h3NJYRnrbG8Wc2npPbNqwiAABgy5r3\ngHR9dVd1RXVutW2Fccc2ltddXt053Q8AAFgw896k4aHqjOra6tJpu7fRxe6xxhK8bdXR0/jb\nq9MbHe4AAIAFM+8BqeqT1fHV2Y2ldie080Sxj1R3VzdU11VXVY/PpkwAAGDWFiEg1ZhJeu+0\nAQAA7Na8H4O0Vn+vcfwRAACwwASk4Rurb5l1EQAAwGzN+xK7vzltq/naRsOG356+f/e0AQAA\nC2TeA9KzG7NDj1SfWWXcIe08oexjG1wXAACwBc17QHpP9cLqr1Zfrs6r/tduxv3r6qTq2zer\nMAAAYOuZ92OQvlz9UPXq6gXVb1UXVIfOsCYAAGCLmveAtMOvNpow/IvqHzSC0nfOtCIAAGDL\nWZSAVPVw9bbq5dVXqhurf1U9a5ZFAQAAW8ciBaQdfqt6RXV+9VeqT1Uvm2lFAADAlrCIAanq\nyeri6qXVpxuzSgAAwIKb9y52q/lsdVr1XdVTsy0FAACYtUUPSDvcOOsCAACA2VvUJXYAAABP\nIyABAABMBCQAAICJgAQAADARkAAAACYCEgAAwERAAgAAmAhIAAAAEwEJAABgIiABAABMBCQA\nAICJgAQAADARkAAAACYCEgAAwERAAgAAmAhIAAAAEwEJAABgIiABAABMBCQAAICJgAQAADAR\nkAAAACYCEgAAwERAAgAAmAhIAAAAEwEJAABgIiABAABMBCQAAICJgAQAADARkAAAACYCEgAA\nwERAAgAAmAhIAAAAEwEJAABgIiABAABMBCQAAICJgAQAADARkAAAACYCEgAAwERAAgAAmAhI\nAAAAEwEJAABgIiABAABMBCQAAICJgAQAADARkAAAACYCEgAAwERAAgAAmAhIAAAAEwEJAABg\nIiABAABMBCQAAICJgAQAADARkAAAACYCEgAAwERAAgAAmAhIAAAAEwEJAABgIiABAABMBCQA\nAICJgAQAADARkAAAACYCEgAAwERAAgAAmAhIAAAAEwEJAABgcvCsC9hER1anVidWz60Orx6u\n7qlurm6sHptVcQAAwOwtQkA6tLqoOq86Yg/j7q/eUb2z2r4JdQEAAFvMIgSkK6szq5uqq6tb\nqy9Wj1aHVcdUJ1VnNQLScdU5M6kUAACYqXkPSCc3wtHF1fmtPDN0TfX26rLqTdUl1S2bUSAA\nALB1zHuThlMaoejCVl8290T1tunyqRtYEwAAsEXNe0A6rHqyenCN4++rnmo0dAAAABbMvAek\nOxrLCE9b4/gzG8/JbRtWEQAAsGXNe0C6vrqruqI6t9q2wrhjG8vrLq/unO4HAAAsmHlv0vBQ\ndUZ1bXXptN3b6GL3WGMJ3rbq6Gn87dXpjQ53AADAgpn3gFT1yer46uzGUrsT2nmi2Eequ6sb\nquuqq6rHZ1MmAAAwa4sQkGrMJL132gAAAHZrUQJSjc50p1YntnMG6eHqnurm6sbGsjsAAGBB\nLUJAOrS6qDqvOmIP4+6v3lG9s9XPmQQAAMyhRQhIVzbad99UXV3d2mjS8GijScMx1UnVWY2A\ndFx1zkwqBQAAZmreA9LJjXB0cXV+K88MXVO9vbqselN1SXXLZhQIAABsHfN+HqRTGqHowlZf\nNvdE41xINY5VAgAAFsy8B6TDqierB9c4/r7qqUZDBwAAYMHMe0C6o7GM8LQ1jj+z8ZzctmEV\nAQAAW9a8B6Trq7uqK6pzq20rjDu2sbzu8urO6X4AAMCCmfcmDQ9VZ1TXVpdO272NLnaPNZbg\nbauOnsbfXp3e6HAHAAAsmHkPSFWfrI6vzm4stTuhnSeKfaS6u7qhuq66qnp8NmUCAACztggB\nqcZM0nunbTMcV/1ma39+F+V1AACALW2RdsyPbLTvPrGdM0gPV/dUN1c3Npbd7Q+fq36oeuYa\nx7+kcR4mAABghhYhIB1aXVSdVx2xh3H3V++o3tnq50xazVPVL61j/CsTkAAAYOYWISBd2Wjf\nfVN1dXVro0nDo40mDcdUJ1VnNQLScdU5M6kUAACYqXkPSCc3wtHF1fmtPDN0TWMG57LqTdUl\n1S2bUSAAALB1zPt5kE5phKILW33Z3BONcyHVOFYJAABYMPMekA6rnqweXOP4+xrHDx25YRUB\nAABb1rwHpDsaywhPW+P4MxvPyW0bVhEAALBlzXtAur66q7qiOrfatsK4YxvL6y6v7pzuBwAA\nLJh5b9LwUHVGdW116bTd2+hi91hjCd626uhp/O3V6Y0OdwAAwIKZ94BU9cnq+OrsxlK7E9p5\nothHqrurG6rrqquqx2dTJgAAMGuLEJBqzCS9d9oAAAB2a96PQVrqa6pvaM+/8zOqv9o4cSwA\nALBgFiEgfVP1X6ovVZ+tPl/93yuMPaTRqOGMTakMAADYUv7/9u4+Tuq63vv4a9hll10WuVmQ\nRVxRgUVTQ1vh8mClGOhDpYhjZXtlmhbd6NEO9kgpK9dHXSdTj5iaksfrqKmnvPKB4iktsktL\nLxXvoixRIW9SEVEBWfYGdmGvP77fYWaH2RtU9jfuvJ6Pxzxm5vf7zczn99thmPd8b34DPSCl\nCOOKZgB/Be4inDD2p4TudqnkSpMkSZJUaAb6GKSZhO5ylxCm8YbQSnQZcA7QDPxrMqVJkiRJ\nKjQDPSAdEK8vzlrWDnwd2Ah8j3Ay2Z/0c12SJEmSCtBAD0hDCF3qWvKsu5AwPunHeHJYSZIk\nSQz8MUirCeOMZnez/gzCeZJ+CXykv4qSJEmSVJgGekD6HfAqcCNh+u6hOevbgBOBZ+O23+jH\n2iRJkiQVmIEekFoJwSg9ffcH82zzJnAMcD/wg/4qTJIkSVLhGehjkADuJcxk9znCeZDy2QQc\nD3weOLWH7SRJkiQNYMUQkABeoPfWoU7gZ/EiSZIkqQgN9C52kiRJktRnBiRJkiRJigxIkiRJ\nkhQZkCRJkiQpMiBJkiRJUmRAkiRJkqTIgCRJkiRJkQFJkiRJkiIDkiRJkiRFBiRJkiRJigxI\nkiRJkhQZkCRJkiQpMiBJkiRJUmRAkiRJkqTIgCRJkiRJkQFJkiRJkiIDkiRJkiRFBiRJkiRJ\nigxIkiRJkhQZkCRJkiQpMiBJkiRJUmRAkiRJkqTIgCRJkiRJkQFJkiRJkiIDkiRJkiRFBiRJ\nkiRJigxIkiRJkhQZkCRJkiQpMiBJkiRJUmRAkiRJkqTIgCRJkiRJkQFJkiRJkiIDkiRJkiRF\nBiRJkiRJigxIkiRJkhQZkCRJkiQpMiBJkiRJUmRAkiRJkqTIgCRJkiRJkQFJkiRJkiIDkiRJ\nkiRFBiRJkiRJigxIkiRJkhQZkCRJkiQpMiBJkiRJUmRAkiRJkqTIgCRJkiRJkQFJkiRJkiID\nkiRJkiRFBiRJkiRJigxIkiRJkhQZkCRJkiQpMiBJkiRJUmRAkiRJkqTIgCRJkiRJkQFJkiRJ\nkiIDkiRJkiRFBiRJkiRJigxIkiRJkhQZkCRJkiQpMiBJkiRJUmRAkiRJkqSoNOkCVDBuAA7J\nuv874JJ4uw1o7feKJEmSpH5mQFLax2bOnFk7adIkfv3rX7NmzZp6YGFc1wbUAG8nV54kSZK0\n+9nFTjscccQRNDQ0MGrUKA488EAWL17MRRddBDAEqEy4PEmSJGm3swVJeVVWVlJXV0dFRUXS\npUiSJEn9xhYkSZIkSYoMSJIkSZIUGZA0Ml7yvhc2b96cvvkw8Pd4+WS/VCZJkiT1M8cgFalX\nX30VQiha39N2TU1NAHzlK1+ZMHToUG666SbeeuutLwNT4iZ/Ae7ZjaVKkiRJ/caAVKRaW1tJ\npVJce+21AJx55pk9bj9r1iyqq6u59tprGT169PGjRo06fuPGjaxbt+5vGJAkSZI0QNjFrsjV\n1dVRV1e3S4+ZN28eixcv5uSTTwaoAOrj5aD3vkJJkiSp/9iCpHds5cqVAPsDj2ctPgT4ayIF\nSZIkSe+SLUh6x7Zt20ZtbS1Lly7ltttuSy8ekmRNkiRJ0rthC5LelUGDBjFs2DBKS3e8lf4F\nWAt8CKgFmuPyp4FT+79CSZIkqe8MSHpPtLa2AlBfX39aVVUVjzzyCJMmTWLGjBm89NJLLFu2\nbAphnBJAO/AU0JlQuZIkSVJedrHTe+pLX/oSF154IcOGDaOuro6GhgbGjRsHUEUYq/Q48Gdg\ndpJ1SpIkSfkYkLTbtbe3U1lZydKlS1m6dCmVlZUQZr+TJEmSCopd7NQvUqkUw4YNA2D79u0A\nxwJjgQ8ABwCbgDLgg8Df48O2ARcAT/Ty9IOA4Vn3NxO68UmSJEm7xICkfrdlyxZGjRp1Znl5\nOW+88QZjxoyhvr6eV155hRUrVvCpT31qv8GDB3P77bfT3t5eTwhPFYTA9AxQAhwBbCGMYxpK\nCFdpfwYO7aWMwcCJ8Zr43L8lM6mEJEmSipABSYlYsGABRx55JPPnz2f8+PGce+65LFu2jBUr\nVnD66adTUVHB7bffzsc+9rHRU6dOHb1kyRJaWlqYO3fu3m+99RZLlizhrLPOqhg9ejSXXHIJ\nRx99NHPnzmX58uXccMMNo7Je6hVgfNb9+whBaH/gy+lWrc2bN9PZ2flzQriqIgSvp+JjmoDf\n5NmNmcClWfdLgIXAm8DRhNaxjrjuReCHvRyWEkJoK4/3O4HfAW8DRxFa01JxXRnw70BLvP8E\nsKGX55ckSVIvDEgqaAcffDBz5szhgQceoLm5mYaGBlavXs2SJUuYPn06tbW1LFq0iOrqaurq\n6rjvvvsgTC++Y4a8r371q0ycOJEf/ehHbN26dWZNTc3MDRs28Oabb7J06VIAZs2axYQJExqq\nq6sbnn32Wdra2qioqGDbtm20tLQA3Ay0EroG7pt+7urqak477TTa2tq45pprICtIjR8/nkmT\nJvHyyy/z/PPPA/xbN7t5P/DzWPd3qqqqSKVS6dD2BPA8cEB1dfUhxx57LBs3buSee+4B+GjW\nc9wC3ASMIoSpprh8CyFIberlUF9HmJo9bUkP9UqSJA1YxRiQUoQuWUMIX3jtUjWAtLS0MGLE\nCC644AIAvvnNbzJ58mQOO+wwysvLOfzwwznvvPP45S9/yeLFi7s8tqGhgdmzZ3POOedQXl7O\npZdeyqOPPsrChQuZPXv258vLy/nNb37Dsccey8yZM7n11lvZsGEDc+bMYf369VxzzTVcfvnl\nTJw4kTPOOIPp06dz9tlnc/3117NmzRq+//3v76jpC1/4AgcddBCLFi1i/fr1R48cOfLo1tZW\nNm7cyG233UZFRQXHHXccBxxwQP2ECRPqly9fzpgxY5g/fz6rV6/mnnvu4aabbqK2tpZ58+bx\n9ttvnwKcAlBWVsYhhxwCwBNPPAGwgNCSVQL8nhDiKoAZwAtx90+eOXPmHpMmTeKBBx7gmWee\nqQb2iOv2An5FCJ0NhNa3dMvY/wO+vot/pmlkhUzgUeClXXwOSZKk3aJYAlIN8DXgBEK3p8qs\ndU3AX4ClwE/p/Zd2FbiysjLq6+t733AXfPnLX6a6uprf//73jB8/nvr6eu6++242bOjaq62i\nooJhw4aRSqW6LC8pKdlRUyqVYuLEidTX11NRUcH06dNpbGxk2bJlXHzxxV0ed8wxxzB37lzO\nP/98mpvzZ/nOzk5OOeUUzjjjDBYtWsTy5cu59NJLdzz+1FNPHbbffvtx1VVX0dbWNm/48OHz\nmpubaWpq4kMfCo1GTz75JEcccQSzZ8/m4YcfZtiwYfvW1dWdv2nTJlatWsXYsWM/P2jQINau\nXcu0adOYOnUqK1eu5MEHH0zPRlgGvEEmVAGsAV4j/Hvbn0x3wOEVFRWDSktLaW1tpaOj42Xg\nEcKPF0MIrXWdwOnAOML4MIB7CV0Ye5IihK9U1v318fZoYELWtusI//YlSZJ2KIaAdCxwOzCM\n0Fr0LOGL3BbCWI8awi/aRwLfAD4OPJZIpdJuMHXqVA477DCuv/56pk+f3qUFLR2kZs2a1eUx\ndXV1XVrQrr76aqqrqznxxBOZOnUqDQ0NXHfddQD7EMZJlQB7fOtb32LChAksXLiQ8ePH7zVj\nxoy9HnvsMVauXMnChQvLAS666CK+/e1v7xiD1tLSUltfX1+bnqSjqqpqTiqVoqmpiQ9/+MMc\neOCB3H///axatepg4NOEWQtr42umvUn4cWMoYXbEvugk04I2AlgBvBVvd5AJT5WE0LadMD7t\ndWBrXLcBx35JkjSgDPSANAL4BbCR0P3objJdg7INIXzxuhy4A5iCXe+kHr3++usMHz686oQT\nTpjV2trKnXfeyT777ENdXR2lpaU7ThTc3NzMqlWrOOqoowB2al2bPHlyl0k6srsY1tfXM3fu\nXFasWMG4cePKGxoa9l+3bh233HIL5513HmPGjOHCCy/kkEMOGX3kkUeOvvfee3n11Ve58sor\nAfjc5z7HggULmDJlCt/97nepr6/PDoipBQsW7A+waNEipk6deszee+/NQw89RHt7O3V1dcc3\nNTXx3HPPAZzdzWHYArwab48A7iF8duxN+Nx5mTBT4p7AA3G7ufFxHcAYQvBaTQh+NWS6M24H\n7iSEv57sSQiMEFrMSgmtYwDV8XkgdKk8lMxn4GtAYy/PLUlS0RnoAelEYCSha90jPWzXRviF\neC2wDDie0OokqQcjRoxg/vz5rF+/njvvvHO3vtbIkSOZM2cOq1ev5pZbbuGggw6itraW0tJS\nJk+ezJw5c1i1ahVr165l3LhxOx639957U1dXR1lZ2U7POWfOHACuuOIKjj/+eGbPns2LL764\n0xi0G2+8kZEjR3LyySfzmc98hpNOOonLLruMp59+uvy0007bv6WlhcWLF1NfX/+5qqoqHnnk\nEUaPHs2kSZN48cUX+cc//kFNTc0pAK+99hrTpk1j7Nix/PGPf6S8vJwPfOADx7z++us888wz\n1NTUzEmlUqxdu5bOzs7/yCq3mdB6lSJ0PXyd0P1wLKHlrFc1NTVMmTKFdevWsXLlSoA5cdXk\neL2N0DL3d8JnYQlwOGGcWCdQH7fZRAiEYwmt8gATCSGwDZhK+OxtivW2AFfG7b5ICI3b4zat\nwNOEcXGzCF0zIUw48jAhZFbG50nPLDkC+BOZrpgzyATBF8nMGFlNaBWE0P2zI9ZSRpjkJN36\nV0NoMdwc76+OzzMYOI/QA4H4GjcAqwiBdh8yJ1wfSuaHtSHxtdJhNH3Mcm/nqiJz6oExWa87\nKD5uY9a2G7q5nW0CoWtp2rNk9rEnI7NubyHTPXZwrDGtmUxral+NIvz9IPPeaIv32wjvh/4w\njMx3oO2E2UKlXTGCTHfudvr2b0vvEykys31dxMD7NfFbhP3a+ZtRfiWED/sLgIt72bYn+wHL\n6XsALSV8WJexe09wen1paekXKyoqaG9vp62tbcfJW5uamhgyZAiDBw+mTSiIgQAAEeVJREFU\npaWFVCpFRUUFHR0dtLa2MnToUAYNGsTmzZspKyujrKyM1tZWtm/fztChQ+ns7GTz5s1UVlZS\nUlLC5s2bKS0tZciQIWzZsoX29naqqqp2vFZFRQWlpaU0NzczaNAgsmtKz+LW1NREeXn5jtfq\n7OyksrJyx8xy2a81ePBgysvLaWtro6Ojo8trpbfL91ruv/tfyPvfV2VlZTv2v729+4+Q0tLS\nLq+lAaOVEC4GE4JaqufN3zMdZGbMzP6y+E51kgmB2WERMl9AU4T/L5vIfx687Jr2IIS4bYTQ\nCuE4ldB1vGSurfFx+V6rPa4fTOimn/5SvEe8vZ0Q9rcTwmUJIeCnaxpGCIXpmtLjOKFrUKuK\nj2+P+ze4m5oq43NtIXyXGJJTU3f7P5RMUK+KyzviPpXEGnf3/pcTwn9rvK7Kqakvf/+k9r+M\nnX+Yevs93v93+/cfTuYHHAgz016AetIIXAgDPyCdBVxN+JVzXS/bQugW83J83DXv4nUHEX6d\n7GtAShG6ydz6Ll6zL8YBB8XbgwiD2Z+P9ycQutxsJfzjG0poUYPw6/KqeHsvwn9gLYR/iGMI\nxwxgEuGX5864vD1uW0roApQe77FffEwH4T/VwYRxYSnCr9Cr43a1cXlbrGc4mV+Xs2uqIXxw\nNBE+SMaRmRVtf8IvwdsJv1xCGLTv/rv/7r/77/67/+6/+18M+w/wt7if6l4jMSBB+GN2MvDC\nEYQZ6zoJwaO3VqShhJnstgN1u7kuSZIkSYWjkZiLBvoYpKcJLUFnEk6e+d+EBP0G4ZeCckLr\n0geBTxD6av8QeC6JYiVJkiQlbyC3IEFotjyH0KTZ2cPlOeC0hGqUJEmSlJxGiqQFCcKOXglc\nBRxM6Ha3J6H/aBuhn+lTwDNJFShJkiSpMBRDQErrJAShp3rbUJIkSVJxGtT7JpIkSZJUHAxI\nkiRJkhQZkCRJkiQpMiBJkiRJUmRAkiRJkqTIgCRJkiRJkQFJkiRJkiIDkiRJkiRFBiRJkiRJ\nigxIkiRJkhQZkCRJkiQpMiBJkiRJUmRAkiRJkqTIgCRJkiRJkQFJkiRJkiIDkiRJkiRFpUkX\nIGX5MPBA0kVIkqQBbRt+B1YPfHOokLTF648CLUkWooLzBeAo4PSE61Dh+QnwN+CapAtRwXkU\nOAt4LOlCVFCmET43pG4ZkFSI/gRsTroIFZTZQDPwRNKFqOBsAl7D94byew7fG+pqeNIFqPA5\nBkmSJEmSIgOSJEmSJEUGJEmSJEmKDEiSJEmSFBmQJEmSJCkyIEmSJElSZECSJEmSpMiAJEmS\nJEmRAUmSJEmSIgOSCslWYDvQkXQhKjhb40XKtRVoT7oIFSQ/N5SP7wv1SWe8NCZchwSwf9IF\nqCBVAOOSLkIFaU+gKukiVJD2A1JJF6GCkyK8N6RcjcRcVJpwIVKu55MuQAWpNV6kXOuSLkAF\n64WkC1BB6sT3hnphFztJkiRJigxIkiRJkhQZkCRJkiQpMiBJkiRJUmRAkiRJkqTIgCRJkiRJ\nkQFJkiRJkiIDkiRJkiRFBiRJkiRJigxIkiRJkhQZkCRJkiQpMiBJkiRJUmRAkiRJkqTIgCRJ\nkiRJUWnSBUhZ9gXGAW8BzyVbigpICbAPMAb4B7A22XJUoA4HqoCHgS0J16LklQAHAkOA54H1\nyZajAjEYmACMJPx/8nqy5aiQdcZLY8J1qHgdCjxJ5r3YCawGZiZZlArCF4E1dH1v/Bk4OsGa\nVHiOALYR3h97J1yLkvdZ4DUynxkdwM2EsKTiVAJcAGyk6/8nTwLHJFiXCksjmfeGAUmJGge8\nAWwA/gU4EjgVeBloAQ5KrjQlbD7hs+kp4POE/8S+DWwG2gi/DkuDCe+R9P9lBqTiNg/YDiwH\nPgkcBVxLeG/8Z4J1KVmXE94DNxN+lN0H+ATwArA1LpMaMSCpQPw74f338Zzlh8blt/V7RSoE\nKULL0VtAdc66cwjvjR/2d1EqSN8F2oG7MSAVu8GEblPPE7pbZrsK+CmhJUHFZRDQTPjhNffv\nfxLhc2NRfxelgtRIzEWOQVLS5hG6QvwqZ/kK4DFgDlBG+IVHxaMS+BHwJiEkZXswXu/VrxWp\nEE0hdJu5gvDl+Phky1HCZgK1wL8SWpqznd3/5ahAlBK6V75C6Iqb7cV4nRuoVeScxU5J2gPY\nj8z4o1yPE74o1/VnUSoIzcCPgVvzrNs3Xq/qt2pUiFLAdYSWxgsTrkWF4cPx+j7Cl+IPE36E\nO4zwflFx2kr4PnEwMDZn3Yx4/SBSFluQlKR0V5g13axPL68F/rr7y9H7QCXhy3AzcEPCtShZ\n84GPAscRxitKk+J1DaFXQm3WuscJ3an+0d9FqSCcBfwWeABYTBj7fCjwNeAu8v8YpyLnGCQl\n5XDCe+/KbtZ/I67/VL9VpEI2BLiDMAC7IeFalKxxhIldfpa17Aocg1Ts0uPQXgLOJHTD3Q/4\nQVy+AnvOFLP/yc6z2P0RJ/xRRiPxveEHhZLUEa+7a8lML3f8kfYkdJuZA5wB/DzZcpSwqwif\nH+cmXYgK0k+Bawi9EF4AvgP8EpgKfCzBupSciwmtRNcB+wPDCbPmlhJaFz+SXGkqRAYkJSk9\n+H5kN+tHxWtP8FfcPkiYsOMA4ATgxkSrUdLmErpKLSBM4iGlbYrXf8yz7rfxemo/1aLCMRH4\nJvDfwHmE0LwJeIjweVKGs6Iqh2OQlKRXCGNJpnSzPt3svbJ/ylEBOgS4n9At4p+AZxKtRkkr\nBX5CZuapU7LWHRCv5xG63/0XoTumisez8Xp4nnXpcWpO8118DiM0CDySZ90bhOm/PQ+SduIY\nJCXpLkJXmdxxA8MIv/A83u8VqVDUAmuB5whjTqQquo4f6OkyJKEalZyPEv72P86z7rK47qR+\nrUiF4OOEv/1VedYNIkwJ/0a/VqRC1YgnilWBOJbw/ruLzBeaEsIZzzuBzydUl5L3W6CV7lsY\nVZyqurn8hPCZUYfnNClWKeAJwufGsVnLpwNNhC6ZQxOoS8kaQfj7bwQm56z7OuFz48Z+rkmF\nqREDkgrI5YT34DrCQPxXyHxgee6K4nQo4T3wNqFbRL7LHYlVp0LkLHaC0DX7dcIJQf9EGL/Y\nTghNJyRYl5L1WWAL4X1wN3ATsJzwmfE3wkRAUiMxFzkGSYXgXGAZ4QNsHCEkLcEvwMXuD72s\n39IvVej9YjXhPeP7oritBA4inN9mOqFHwhWE2cs8uXTx+gWhy/5phIk69gL+Dvxv4GZCcJK6\nsAVJkiRJUjFrxPMgSZIkSVJXBiRJkiRJigxIkiRJkhQZkCRJkiQpMiBJkiRJUmRAkiRJkqTI\ngCRJkiRJkQFJkiRJkiIDkiRJkiRFBiRJkiRJigxIkiRJkhQZkCRJkiQpMiBJkiRJUmRAkiRJ\nkqTIgCRJkiRJkQFJkiRJkiIDkiRJkiRFBiRJkiRJigxIkiRJkhQZkCRJkiQpMiBJkiRJUmRA\nkiRJkqTIgCRJkiRJkQFJkiRJkiIDkiRJkiRFBiRJkiRJigxIkiRJkhQZkCRJkiQpMiBJkiRJ\nUmRAkiRJkqTIgCRJkiRJUWnSBUiSdpsK4ECgA/gbsC3ZciRJKny2IEnS+98+wNFAddayDwDP\nA08AfwbG9H9ZBSXfMZIkaScGJEl6//sMcB9Qn7XsHKAGuAA4DHgrgboKSb5jJEnSTuxiJ0nv\nf5vjdVPWsgnx+ifA2/1bTkHKd4wkSdqJAUmS3v+yv/zvAXwI2DMu+x/AVuCheJ02GqgFOgld\n8TblPGclMB14AXgJOIDQTe+BPOtGAXXABuDZrOcYDkwB3ozbdnZT/9D4/KVxu3W7UEvaYEI3\nujHA+rhPHVnr+xqQxhLGbXXnKfreGtdbTdlGApNjfX+n698q2x6EY13COz9W0Psxl6Si1hkv\njQnXIUl6Zz5J+BzfFziCzOd69qUmbrsPcC+wPWvdduAmQqBJOyCu+z7wH/H2X+O6/eL9fwO+\nB2whfPHvBB4GRgDfBlqB9rj8IXYeBzWE0MK1JafWe+O+9KUWgLOAtTnPsQY4vZtj1JNTyH/8\n0pc5vTx+V2qCEFR+Rub4dRLCSu52VYS/UTtdn/P/smvHqq/HXJKKTSOZz0QDkiS9z1UBBxNa\nA0oIAeV+wmf72Hg/Fbf9C6F14mzgIGAq8KO47S1Zz5kOQb8H/gR8ghC+INPy9CxwK6H1oxy4\nOi5/ALgnvnYpISx1Apfk1P1/CF/4v0NotZkIfIXQmrWa0BrSWy1HxXXLgBnA/sBH4/1O4Mg8\nx6gnVcCknMvRhLD3JjCul8fvSk0AS+Oyy4B/AmYRQuZ2QqhLuydudzGhBWkK8E1CsFpNmLEQ\nej5W0PdjLknFphEDkiQNaPcSPtuHZC2rIkzacGae7VcCLWQm79k7Pn4bmfFM5KzbEJ8zbd+4\nfCtdg0Q54Yv8g1nL6skEg1xnx3XpVpSeavlOXHd0zvIRwA8IXQzfjUGEyR06gbl9fExfa5oW\nt7shZ7sawvH6Xbw/I253e57X+l9x3Rfi/Z6O1a4cc0kqNo3EXOQYJEkqHpsJX6hThPEu44Cy\nuK6Z0ApRRdfxSE8SxrLk8wSZsT0QupABPAe8lrV8C2EMzsisZcfH6w7gsznPm67pI3QND/lq\neTlen0WYznxDvL+REFTerYWEoHMtobWnL/pa03Hx+lc5j19L6Hq3Jd6fFa+X5HmtuwgtdEcB\nN2Ytz3es3skxl6SiY0CSpOLyaeByMi0NrXRtaco9/cMrPTzX6zn3t3azPL2uJOv+/vH6/B6e\nvybnfr5a/gv4Z+BThBae5YSWlzsIEyq8G9OAi4CngW/krPs+4VhmO53QPa6vNaWPQb792pJ1\ne994/Xye7dIhqDZneb7nfCfHXJKKjudBkqTiMQ34BWEMykxCq8FQQqvRvd08prmH5+tuVrru\nlmcbHK+PI7Rc5bvkdmnLV0t73G4mcD0wnhBq/gLcSWZszq6qIgSdbUADIUhm20Ro6cm+pANi\nX2tKH4PuZrZLS2+Xb2a79nhdnrM837F6J8dckoqOLUiSVDwaCD+MfYMwiUO20f1cy5tZr9v2\nHjzf/WT2aQqZFp6FwIXv4PmuJkzQ8HVCsMl1aby8m5rWx3XVvTxPT9uNitd9mXr8vT7mkjQg\n2YIkScUjPQYot6vWfsBh/VzL4/H6+DzragjjbvryI94ehCCT7VnCdN0ddJ0xrq9OBk4D7gau\nfAeP72tNT8brI9jZdYSQBmGsF4TzG+WaFq//1Ie63qtjLkkDmgFJkopHOhhlfyEfSTgPz8qs\n+/1hKaFF49NkvuRD6AZ2NWHMzof68Dx3AI8QQl62DxK+7K/Z6RE9mwD8lDCO6p3O6NbXmu4k\nTNxwFl1nnDsJmE8mrNxJmOjhLLrODlhFGE/UTtcp2rvzXh1zSRrwnOZbkgaefNN870UYO7OF\ncP6imwndt74HnEvmhK6nkZnEId8X757WpU86musV4JmcZccRphZvI4SKW4AXyZzotC+vNx14\nmzBGaFncr9/FfVxH6Nq2K26Or/WX+Hq5l3/uw3PsSk3zCGOLNhPOdfQQmXNMZYfVT8THv0UI\ntDcSgtZ24GtZ2/V0rKDvx1ySik0jTvMtSQPanwktENuzlq0hdKVbQDhB6BuEbl93EyZr2Jcw\n/fc2wpfxP5BpWcrW07o/xNfO9TA7T3TwW8LJSucTTlg7Evg18HO6njOpp9d7FDgEODVejyZM\nmHA+8J90nbK8L16KrwUhbOTaow/PsSs13UHY9/mEY/Ey4XxH19L1eN0Vn+tLhBPepggnfb0R\nWJG1XU/HCvp+zCWpqNmCJEmSJKmYNRJzkWOQJEmSJCkyIEmSJElSZECSJEmSpMiAJEmSJEmR\nAUmSJEmSIgOSJEmSJEUGJEmSJEmKDEiSJEmSFBmQJEmSJCkyIEmSJElSZECSJEmSpMiAJEmS\nJEmRAUmSJEmSIgOSJEmSJEUGJEmSJEmKDEiSJEmSFBmQJEmSJCkyIEmSJElSZECSJEmSpMiA\nJEmSJEmRAUmSJEmSIgOSJEmSJEUGJEmSJEmKDEiSJEmSFBmQJEmSJCkyIEmSJElSZECSJEmS\npKg06/aRwPlJFSJJkiRJCTkyfSMFdCZYiCRJkiQVDLvYSZIkSVL0/wG3iVsVzNwBHQAAAABJ\nRU5ErkJggg==",
      "text/plain": [
       "Plot with title “'farmers' domain histogram”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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gGphiNJbxonAACARW2VgFT1bQ1HjC6ZmHdQw5C6o6sLG44iXXLLhwIAAFvBVghI\nx1TvqO4/3v94wzWKdlafbAhHcy6tHj/OBwAAtpitEJD+rLpfQzC6pqGl9juqL1W3r36todPd\nvRo63b2zITRp1AAAAFvMrAekR1THVU+p3jPOu2t1xjj/4Q1NHOZ8uPpY9QPVX21YlQAAwKYw\n69dB+u7qG82Ho6ovN3Stu6Bdw1HVqdVl1T03ojgAAGBzmfWAdLvqikXmX1VducRjrq4OXLeK\nAACATWvWA9KXq6OqIyfm7d9wHtIxzV8gds63j+t+ZSOKAwAANpdZD0gfbTha9JcN5yH9UMNw\nu2+t/qV6W0P776p7VH9S7RgfBwAAbDGz3qTh0urE6g3Vu8Z5O6sfr85taMrwler65ofVvTxH\nkAAAYEua9YBU9caGo0WPb2jd/b7qs+Oy769+ubp79bWGI0r/awo1AgAAm8BWCEhV/zROC/2f\ncQIAAJj5c5AAAABWTEACAAAYCUgAAAAjAQkAAGAkIAEAAIwEJAAAgJGABAAAMNoq10EC1tE3\nv/nNqjtUf7DI4g9Wf7GhBQEA7CEBCdhr5513Xtu3b7/N93zP9zx7cv4555zTueeee1QCEgCw\njxCQgDVx29vethe/+MW7zHvTm97UueeeO6WKAABWzzlIAAAAIwEJAABgJCABAACMBCQAAICR\ngAQAADASkAAAAEYCEgAAwEhAAgAAGAlIAAAAIwEJAABgJCABAACMBCQAAIDR/tMuAGbco6pn\nLzL//htdCAAAuycgwfp61GGHHfbUBz3oQbvM/PCHPzylcgAAWI6ABOvsrne9a7/4i7+4y7xP\nfOITU6oGAIDlOAcJAABgJCABAACMBCQAAICRgAQAADASkAAAAEYCEgAAwEhAAgAAGAlIAAAA\nIwEJAABgJCABAACMBCQAAICRgAQAADASkAAAAEYCEgAAwEhAAgAAGAlIAAAAIwEJAABgJCAB\nAACMBCQAAICRgAQAADASkAAAAEYCEgAAwEhAAgAAGAlIAAAAIwEJAABgJCABAACMBCQAAICR\ngAQAADASkAAAAEYCEgAAwEhAAgAAGAlIAAAAIwEJAABgJCABAACMBCQAAIDR/tMuAJhd3/jG\nN6r+U/UHiyx+a/X3G1kPAMDuCEjAuvnKV77SoYceetR97nOfZ0/O/+xnP9sll1xySQISALDJ\nCEjAurr73e/ei1/84l3mveAFL+jTn/70lCoCAFiac5AAAABGAhIAAMBIQAIAALEX6fkAACAA\nSURBVBgJSAAAACMBCQAAYKSLHbDhrr322qp7Vk9dsOim6pTq6o2uCQCgBCRgCs4999wOPPDA\nJ27fvv2Jk/OvvPLKdu7c+bTqz6dUGgCwxQlIwIbbuXNnT37yk/upn/qpXeY/9alP7eKLL95v\nSmUBADgHCQAAYI6ABAAAMBKQAAAARgISAADASEACAAAYCUgAAACjrdbm+/YNF6c8rDqouqa6\nsPp8LkwJAABb3lYJSI+rTqweVi12jZUbqo9UJ1d/t4F1AQAAm8hWCEgvqH6ruq76WHVmddF4\nf3t1RHVs9ejqMdVPVX84lUoBAICpmvWAdHT1m9Wp1dOrr+9m3XdWr6s+2DD0DgAA2EJmvUnD\nDzYMqfuxlg9HVedUP9JwbtJ/Wee6AACATWjWA9KhDecXnbvC9b9Q7agOX7eKAACATWvWA9KF\n1QHVvVe4/nEN78kF61YRAACwac16QPpgQyvvt1f32s26D67+tLqi+ut1rgsAANiEZr1Jw9eq\n51Vvbuhe9/nmu9hd39DF7vDqvtXdGjrbPaP6xjSKBQAApmvWA1LVW6szql9qaOX95EXW+WpD\niHpV9cUNqwwAANhUtkJAqjq9euZ4+/DqsIZuddc2hKOLplQXAACwiWyVgDTn9tVdmg9I1zQ0\ncbiqunqKdQEAAJvAVglIj6tOrB7WcF2khW6oPlKdXP3dBtYFAABsIlshIL2g+q2GBgwfa75J\nw3UNTRqOqI5tOD/pMdVPVX84lUoBAICpmvWAdHT1m9Wp1dOrr+9m3XdWr2toD37hulcHAABs\nKrMekH6wYUjdj7V8OKo6p/qR6t+r/9LeH0W6TXXgCte93V6+FgAAsAZmPSAd2nB+0bkrXP8L\n1Y6GTnd74zsb2oWv9kK82/bydQEAgL0w6wHpwoYudfduOPdod45rCDUX7OXrnt1wXtNKjyDd\nt+GI1c69fF0AAGAvzHpA+mBDK++3N1wH6d+WWffB1duqK6q/XoPX/uwq1t2+Bq8HAADspVkP\nSF+rnle9ueEI0ueb72J3fUMwObzhCM7dGjrbPaP6xjSKZZ92q+o+3fJ36ogp1AIAwB6a9YBU\n9dbqjOqXGlp5P3mRdb7aEKJe1XDuEKzWE6v3TLsIAAD2zlYISFWnNwyxq+GI0WHVQdW1DeHo\noinVxew46NBDD+0tb3nLLjNPPPHEKZUDAMCe2CoBadLXxqmGsHT36qiG9t7XTKso9n3btm3r\ndrfbtWP7fvvtN6VqAADYE6ttQ70vOqh6acM1kebcufpQw9Gjv6tOqy6tXlMdvNEFAgAAm8NW\nOIL03uox1S9XH24IQKc2XKvo9IZwdFD18Opnqm+vfngqlQIAAFM16wHpexvC0f+sfmec97SG\ncPTC6hUT6x7Y0NDh6dUDq3/asCoBAIBNYdaH2B3fcPHVlzV/Edb7NrTx/p8L1r2+odNd1UM3\npDoAAGBTmfWAdEC1oyH8zLmm4dyjnYus/7XqpoYhdwAAwBYz6wHpX6r9qh+dmPc3DUPsDl1k\n/SeM639+/UsDAAA2m1kPSH/T0KXu9Q2d7L69+kj1rupPq7uM692p+oXqbdXZ1SkbXikAADB1\ns96kYUfDUaF3VL8xTl9pGGJ3v+rLDcPvDhzXP6d6fHXdRhcKAABM36wHpBoaMjyq+v7qqQ0d\n6u7acK7RdePyz1bvbziCdO1UqgQAAKZuKwSkOR8bJwAAgEXN+jlIAAAAKyYgAQAAjFYTkH60\nesMKnu/c6nF7XBEAAMCUrCYg3a36nt2sc+vqsOq79rgiAACAKVlJk4Z/GP/9juqOE/cX2lYd\nXW2vLtn70gAAADbWSgLSBxpaY9+jOrg6dpl1v1n9ccNFWAEAAPYpKwlILx3/Pal6YssHJAAA\ngH3Waq6D9MbqnetVCAAAwLStJiBdME5HVPetbtdw3tFi/m2cAAAA9hmrCUhVr6x+qd13v3tJ\nw5A8AACAfcZqAtKDql+uPlu9v7q42rHEukt1ugMAANi0VhuQzmvoaHfd+pQDAAAwPau5UOxB\n1ZkJRwAAwIxaTUA6rbpnSzdmAAAA2KetJiD9bUNIelW1fV2qAajbVHdcMN16qhUBAFvGas5B\nenj15eonq2dV/1p9Y4l1//c4AazYZZddVsM11964YNEN1Xc2nAcJALBuVhOQvq+hxXfVIdWj\nl1n3/yYgAau0c+fOfvzHf7wHPehBN8+74oor+uVf/uUDqttPrzIAYKtYTUB6TfWW6qYVrPvN\nPSsH2OqOPPLIjjnmmJvvj0eVAAA2xGoC0sXjBAAAMJNWE5DuPE67s191fnX2HlUEAAAwJasJ\nSD9evXiF676kOmnV1QAAAEzRagLSx6uTl1h2p+pB1dHVb1Yf28u6AAAANtxqAtKp47Scn6ue\nXP3uHlcEAAAwJau5UOxK/F7D0aQfWOPnBQAAWHdrHZCq/qO67zo8LwAAwLpa64B0h+r+1eVr\n/LwAAADrbjXnID1mnBazrTq0elT1LdUn97IuAACADbeagPQ9DU0YlvPN6heqM/e4IgAAgClZ\nTUB6Y/VXSyzbWV1Zfam6YW+LAgAAmIbVBKQLxgkAAGAmrSYgzTmielbDhWEPG+ddWH2qent1\n2dqUBgAAsLFWG5AeV/1ZdbtFlj2t+vXqCdU/7mVdAAAAG241AemQhiNEV1UvrP5P9fVx2REN\nHexeWL27ukd17dqVCZvGftXTq1svmP+gKdQCAMAaW01AenTDdY4eUJ22YNnXqzOqj1f/VP1g\n9ZdrUSBsMt9V/fHhhx/erW41fxmxyy936S8AgFmwmoB0t4ZzjRaGo0n/XJ1b3TMBidl0q6o3\nvOENHXLIITfP/L3f+70++UmX/wIA2Nfdaver3OymbjmsaKnn3LFn5QAAAEzPagLSmQ3nIf3w\nMus8uvqOXCgWAADYB61miN1HqrMbGjW8sTq14bpI26pva2jS8JPVF6uPrm2ZAAAA6281AemG\n6vHVX1Q/N04L/Xv1xHFdAACAfcpqr4P0b9W9q8dWD62OrHY2NG/4RPWh6sa1LBAAAGCjrCYg\nbWsIQzdU7xunOQc2BCPNGQAAgH3WSps0PKjh+kZ3WmL5zzdcOPY716IoAACAaVhJQLpfQ0OG\n46vvXWKdO1QPG9c7bG1KAwAA2FgrCUj/qzq4elr13iXW+dXqR6qjqtetTWkAAAAba3cB6T4N\nR45eV/35btb9k+qt1ZMaghIAAMA+ZXcB6f7jv29f4fP9YbVfQ4c7AACAfcruAtKR479fWuHz\nnT3+e+c9KwcAAGB6dheQ5i74un2Fz3eb8d+r96wcAACA6dldQDpn/Pd7Vvh8J4z//sceVQMA\nADBFuwtIf1tdV/1KdcBu1j2kemF1efWxva4MAABgg+2/m+WXVn9Q/Wz1ruonqosXWe/u1Z9W\nd6tOrq5ZwxqBLeymm26au/mm6qoFi8+vfmxDCwIAZtruAlLVC6oHVE+oHlX9VfWv1ZXVodWD\nq0c3dK/7SHXSehQKbE1XXTVkosc+9rEPOeSQQ26e/7Wvfa1TTz31pgQkAGANrSQgXVM9snpp\n9bzqv43TpIuq361eWd0UwBp78pOf3NFHH33z/dNPP71TTz11ihUBALNoJQGp5s9Demn1sOoe\nDR3rLmpoAf7JBCMAAGAft9KANOeq6sPjBAAAMFN218UOAABgyxCQAAAARgISAADASEACAAAY\nCUgAAAAjAQkAAGAkIAEAAIwEJAAAgJGABAAAMBKQAAAARgISAADASEACAAAYCUgAAAAjAQkA\nAGAkIAEAAIwEJAAAgJGABAAAMBKQAAAARgISAADASEACAAAYCUgAAAAjAQkAAGAkIAEAAIz2\nn3YBG+j7qsdW964Oqw6qrqkurM6o/rL69NSqAwAApm4rBKS7VO+qHjgx7/rqump79YDqh6pf\nq06pnlVdvME1AgAAm8CsD7E7oPpAdWz1u9VDq0MagtHtx38PrR5Z/WH16Or9zf77AgAALGLW\njyD9YHWv6kerP15inUurvxmnf61+vzqhOnUD6gMAADaRWT9Scq/qpurPVrj+m6qd1f3XrSIA\nAGDTmvUjSDc1hMADqhtXsP4B1baGkATsG+64yLwrqxs2uhAAYN8360eQTmsIPM9b4frPH//V\nzQ42ufPPP79qv+qSRaZTplcZALAvm/UjSJ+oPlX9dvXg6j3VmdVFDZ3stleHV/etnlE9pvrw\n+BhgE7vmmmvatm1br3/963eZ/9GPfrR3v/vdd5hSWQDAPm7WA9KO6vHVm6unjtNy6761+pkM\nsYN9wrZt2zrmmGN2mfeZz3xmStUAALNg1gNSDcNtfri6R8MRons1f6HYa6uvVp+t/ro6b0o1\nAgAAm8BWCEhzzhonAACARW2lgPR91WOrezd/BOma6sLqjOov05wBAAC2tK0QkO5Svat64MS8\n66vrGpo0PKD6oerXGjpfPau6eINrBAAANoFZb/N9QPWB6tjqd6uHVoc0BKPbj/8eWj2y+sPq\n0dX7m/33BQAAWMSsH0H6wYamDD9a/fES61xa/c04/Wv1+9UJ1akbUB8AALCJzHpAuld1U/Vn\nK1z/TdXvVfdv7wLSncbnWen7+y178VoAAMAamfWAdFPDcLkDqhtXsP4B1bb2/jpI11XnVPut\nYn0AAGDKZj0gndYQeJ5X/c4K1n/++O/edrP7ZkPTh5V6aENzCAAAYIpmPSB9ovpU9dvVg6v3\nVGdWFzV0stteHV7dt3pGw4VkPzw+BgAA2GJmPSDtqB5fvbl66jgtt+5bq59p74fYMRvu13A+\n2aS7TqEOAAA2yKwHpKpLqh+u7tFwhOhezV8o9trqq9Vnq7+uzptSjWxO/9hwlBEAgC1iKwSk\nOWeN02L2z7WPuKX9f/u3f7vjjjvu5hmf/OQne9GLXjTFkgAAWE9CweAN1d9NuwgAAGC6Zv0I\n0u3HaXdu3dDi+zvG+98cJwAAYAuZ9YD0i9WLV7H+3DlIL6lOWvNqAACATW3WA9Ll47/XVn9e\nXbbEeo9q6Fb2Z+P9f1jnugAAgE1o1gPS7zZ0sfudhnbfv1z9r0XWe3N1bPXzG1caAACw2WyF\nJg1/VH139cGGIPQ3DS2/AQAAdrEVAlLVRdUzq8dWR1dnVL/a0JgBAACg2joBac4Hq3s3tPV+\nWXVa9cCpVgQAAGwaWy0gVV1V/UL1PdWOhusfPXqqFQEAAJvCVgxIc/6pekD1G9W3TrkWAABg\nE5j1Lna7c2P1ioZud1s5LMLMuPTSS6uOqv5gkcXvrD62oQUBAPuUrR6Q5lw37QKAtXHeeed1\n29ve9k7HH3/8syfnf+ELX+irX/3qgQlIAMAyBCRgpuzcubMjjzyyF7/4xbvMf+UrX9kpp5wy\npaoAgH2FYWUAAAAjAQkAAGAkIAEAAIwEJAAAgJGABAAAMBKQAAAARgISAADASEACAAAYCUgA\nAAAjAQkAAGC0/7QLANgI11xzTdVdq6cuWLSz+lh16QaXBABsQgISsCWcffbZ7b///iccfPDB\nJ0zOv+qqq9qxY8fPVb8/ncoAgM1EQAK2hJ07d/aoRz2qE088cZf5z3nOczrrrLP2m1JZAMAm\n4xwkAACAkYAEAAAwEpAAAABGAhIAAMBIQAIAABgJSAAAACMBCQAAYCQgAQAAjAQkAACAkYAE\nAAAwEpAAAABGAhIAAMBIQAK2tAsuuKDq1dXOBdN11X2mVxkAMA37T7sAgGm68cYb+6Ef+qEe\n/vCH7zL/xBNPPHDnzp13mlJZAMCUCEjAlnfUUUd1/PHHT7sMAGATMMQOAABgJCABAACMBCQA\nAICRgAQAADASkAAAAEYCEgAAwEhAAgAAGAlIAAAAIxeKBVi5/apnVAcvsuxL1Uc3thwAYK0J\nSAAr913V2w4//PBudav5A/DXXHNNl1122XnVnadWGQCwJgQkgJW7VdUb3vCGDjnkkJtnfvSj\nH+3lL3+5IcsAMAP8hw4AADASkAAAAEYCEgAAwMg5SABLe0T1LRP3j5pWIQDAxhCQABaxc+fO\nbn3rW79ov/32u3neDTfc0LXXXjvFqgCA9SYgASzhpS99accdd9zN9z/5yU/2ohe9aIoVAQDr\nzTlIAAAAIwEJAABgJCABAACMBCQAAICRgAQAADASkAAAAEYCEgAAwEhAAgAAGAlIAAAAIwEJ\nAABgJCABAACMBCQAAICRgAQAADASkAAAAEb7T7sAgH3d17/+9ao7Vf+8yOI/r161oQUBAHtM\nQALYSxdddFG3vvWtD3zmM595/OT8T3/6033mM5/5egISAOwzBCSANXDwwQf39Kc/fZd5V155\nZZ/5zGemVBEAsCecgwQAADASkAAAAEYCEgAAwEhAAgAAGAlIAAAAIwEJAABgJCABAACMXAcJ\n6h7VXRaZv22jCwEAYLoEJKg/2b59+wMPPPDAXWZeccUVUyoHAIBpEZCg9v+Jn/iJnvKUp+wy\n85GPfOSUygEAYFqcgwQAADASkAAAAEYCEgAAwGgrnYN0m+qE6t7VYdVB1TXVhdUZ1cer66dV\nHAAAMH1bISAdWJ1c/XR18DLrXVa9onpltXMD6gIAADaZrRCQ3lE9qTq9end1ZnVRdV21vTqi\nOrZ6WkNAOrp67lQqBQAApmrWA9KDG8LRq6vnt/SRofdWL6veWD2nem31uY0oEAAA2DxmvUnD\nQxpC0Uva/bC5G6tfGW+fsI41AQAAm9SsB6Tt1U3VlStc/9JqR0NDBwAAYIuZ9YB0VsMwwses\ncP0nNbwnn1+3igAAgE1r1gPSKdX51dur51WHL7HeUQ3D695SnT0+DgAA2GJmvUnD1dUTq/dV\nrxunixu62F3fMATv8OoO4/pfrJ7Q0OEOYK9cfvnlVXdr/vzGSX/V0FUTANhEZj0gVZ1WHVM9\ns2Go3b2av1DstdUF1Yeq91fvrG6YTpnArPnyl7/c7W9/+++6xz3u8YrJ+WeddVbf/OY371C9\ncEqlAQBL2AoBqYYjSW8aJ4ANc8973rNXvGKXfNQLXvCCPv3pT0+pIgBgOVslINXQme6E6t7N\nH0G6prqwOqP6eMOwOwAAYIvaCgHpwOrk6qerg5dZ77LqFdUr2/01kwAAgBm0FQLSOxrad59e\nvbvhpOiLGhoxbK+OqI6tntYQkI6unjuVSgEAgKma9YD04IZw9Orq+S19ZOi91cuqN1bPqV5b\nfW4jCgQAADaPWQ9ID2kIRS9p98PmbmxoxftjDecq7U1A2q96XMMRqpX4rr14LQAAYI3MekDa\nXt1UXbnC9S+tdvz/7d15nBxlnfjxz+Q+ZpIQkBCBQAgBgigxAX4ca4IB5TDKynIIcigIiLgo\nsCvgiowvNRuBH7gcuyB4EnFFfoZjTTwCXqARAVeBYIIhIYQjTkgIyWRCjpnfH8/TM9011ZOZ\nSU/XdM/n/Xr1q6eeqq7+VtV0d33rOYowoMOO2JNQGzWok8vnjkPNDr6vpMr2DWBKSvl64GTC\nd5QkSepB1Z4gPU/YxuOBeZ1Y/sNAP+CvO/i+ywl9mzrrSOAxHBxC6hMaGhog3MR6QmLWzBkz\nZgydMKGtuKmpiTlz5gD8AHgzsfzLwGU9F6kkSX1PtSdIPwVWAnOALwD/D1iVstyewJnANcDS\n+DpJ6hFr1qxhwoQJB0yaNOmA/PKf/OQnHHHEERxzzDGtZStWrGDOnDlMnz79uLq6utby1atX\ns3Dhwm2YIEmSVFLVniBtJFylfQC4LT5eJ4xit5nQBG8MMCouvwQ4iTDCnST1mMMOO4wLLrig\noGzevOIV3eeccw7jx49vnX7qqadYuHBhj8UnSVJfVe0JEsCTwH7ARwlN7Q6k7Uaxm4BXgJ8B\nDwH3AluyCVOSJElS1vpCggShJunO+JAkSZKkVP2yDqCMdgb2ouNt7g98jHDjWEmSJEl9TF9I\nkCYSRohbTRhd7iXgwiLLDgS+Tei3JEmSJKmPqfYEqYbQr+hIwo1fHyQMpX0Hobmd9x2SJEmS\n1Kra+yC9l9Bc7jrgylg2ELgBuBRoBD6bTWiSJEmSeptqT5By9xiZnVe2BfgM8AbwRcLNZG8r\nc1ySJEmSeqFqT5CGEJrUbUyZdy2hf9J/4M1hJUmSJFH9fZD+Ruhn9L4i888j3CfpR8B7yhWU\nJEmSpN6p2hOkXwAvA98hDN89PDF/E/ABYHFc9ooyxiZJkiSpl6n2BKmJkBjlhu9+V8oyq4EZ\nwK+Ar5QrMEmSJEm9T7X3QQJYQBjJ7qOE+yCleRM4ATgbOKeD5SRJkiRVsb6QIAEsY/u1Qy3A\n9+JDkiRJUh9U7U3sJEmSJKnTTJAkSZIkKTJBkiRJkqTIBEmSJEmSIhMkSZIkSYpMkCRJkiQp\nMkGSJEmSpMgESZIkSZIiEyRJkiRJigZkHYBURp8GPpZSvn+Z45B60vuBWUXmfQe4tXyhSJJU\neUyQ1JdMPfDAA6cef/zxBYU333xzRuFIPeIdu+6669SzzjqroPCnP/0pixYtejqjmCRJqhgm\nSOpTxo0bx8yZMwvKbrvttoyikXrGyJEj2/2fL1q0iEWLFmUUkSRJlcM+SJIkSZIUmSBJkiRJ\nUmSCJEmSJEmRfZAkqQK1tLQA1ABTE7P2KH80kiRVDxMkSapAy5cvh9AK4IlsI5EkqbqYIElS\nBdq6dSv9+vVj7ty5BeWzZs1izZo1GUUlSVLlM0GSpApWV1dXMN2/f/+MIpEkqTqYIElSH9DU\n1ASwN3BqyuyHAaudJEnCBEmS+oSlS5cyYMCAo4cOHXp0fnljYyPNzc2fAW7OJjJJknoXEyRJ\n6gNaWlo49thj+dznPldQftFFF/H888/bLk+SpMj7IEmSJElSZIIkSZIkSZEJkiRJkiRFJkiS\nJEmSFJkgSZIkSVLkKHaS1Ie1tLQADAV2SszaCqwve0CSJGXMBEnVaF/gPNrXkE7NIBapV3v5\n5ZcBvhof+VqAQ4Enyx2TJElZMkFSNZo5bNiwqydNmlRQ+Mwzz2QUjtR7NTc3c+qpp3LMMccU\nlF988cU1LS0tIzMKS5KkzJggqRrV7L777lx//fUFhWeffXZG4Ui929ve9jb222+/grLY9G4O\n0JRYfB1wJLCpLMFJklRmJkiSpFSnnHLK2HHjxrVOv/7663z3u98FqMUESZJUpUyQJEmpDj/8\ncKZMmdI6vWzZslyCJElS1XKYb0mSJEmKTJAkSZIkKTJBkiRJkqTIPkiSpK6aThjNLt8KYEkG\nsUiSVFImSJKkTlm1alXuz/tSZi8HxpctGEmSeogJkiSpU7Zu3QrA3LlzGTmy7R6yCxYsYNas\nWYOAnVJetg5oLkuAkiSVgH2QJEk7ZNmyZQBvB9akPBwXXJJUUaxBkiTtkI0bNzJq1Chmz55d\nUD537lx+9rOf7ZxRWJIkdYsJkiRph/Xv35/99tuvoGz06NEZRSNJUvfZxE6SJEmSIhMkSZIk\nSYpMkCRJkiQpMkGSJEmSpMgESZIkSZIiEyRJkiRJikyQJEmSJCnyPkiSpB6xZs0agP2B2Smz\n7wWeKmtAkiR1ggmSJKlHvPTSS4wePXqfd77znVfmlz/99NOsWbOmBRMkSVIvZIIkSeox++67\nL9dee21B2VVXXcXjjz+eUUSSJHXMPkiSJEmSFFmDJEkqq4aGBoB/BCYkZrUAXwQWlzsmSZJy\nTJAkSWW1Zs0aJk2adMDkyZMPyC+///77aWpqegATJElShkyQJEllN3nyZC644IKCsp///Oc0\nNTVlFJEkSYF9kCRJkiQpMkGSJEmSpMgESZIkSZIiEyRJkiRJikyQJEmSJCkyQZIkSZKkyGG+\nVckmAg8BAxPlIzOIRZIkSVXABEmVbFxNTc3+l112WUHhAw88kFE4kiRJqnQmSKpoNTU1zJw5\ns6Bs4cKFNDQ0ZBSRpDIaSXpT8Y3AW4myAUBdkfW8AbSUMC5JUgUzQZIk9Wb9gKtpn9yMBc4p\n8ppfA0cnym4E/rnI8p8AvtnN+CRJVcYESZXiAmB0omzfLAKR1DPWrVsH8P34KHDggQcydOjQ\n1unXXnuNV199lbvvvrtgufnz5zNnzpy0mqK6adOmcdFFFxUUfv7zn+fFF18cUYLwJUlVwgRJ\nlWBn4Bt77bUXgwcPbi1cu3Ytr7/+enZRSSqp5uZmzjzzTN797ne3ljU0NHDddddxxRVXMH78\n+NbyH/7wh9x5552MHTu2YB11dcVa0cGwYcPaLT9o0KASRS9JqhYmSKoENQBf/OIXU0+QJFWP\n8ePHM3Xq1NbpFStWZBiNJKkv8j5IkiRJkhSZIEmSJElSZIIkSZIkSZEJkiRJkiRFJkiSJEmS\nFDmKnSSpajQ3NwMMBaYmZu3cxVV9C9gzpXwt8FFgS5eDkyRVBBMkSVLVeO655wAmAU/s4KrO\nmTFjRv8xY8a0Fqxbt4558+YBfApYvYPrlyT1UiZIkqSqsXXrVvbZZx9uuummgvJPfvKTXV7X\niSeeyJQpU1qnly1blkuQJElVzARJklRV+vfvT11dXUFZv352uZUkdY4JkiSpz9q8eTPAwcCp\niVk15Y9GktQbmCCpt7kFOCBRNjCLQCRVv1WrVjF48OBzBw0adG5++fr169stu3Hjxtyf99F+\nkIbngEsTZScBny7y1rcAD3Y1XklSzzNBUm9z8owZM94+YcKE1oJ169Zx7733ZhiSpGrV0tLC\n+eefzymnnFJQPmPGjHbLrl27FoCzzz57+pAhQ1rLly5dyiOPPDKJ9gnSEXvuueexxx9/fEHh\n/PnzWbly5ROYIElSr2SCpF7niCOO4JhjjmmdXrFihQmSpF7j5JNPZuTIka3TCxYs4JFHHkld\nduzYsZxxxhkFZX/+859ZuXJlj8YoSeo+EyRl5QhgWkp5bbkDkaQdsXz5coDdgZZsI5EklYIJ\nkrLyhdGjR5+4yy67FBQuWbIko3AkqXsaGxsZMWIE11xzTUH5LbfcklFEkqQdYYKkrNQcd9xx\nXHDBBQWFxx57bEbhSFL3DRw4kKlTpxaU1dZaIS5JlcgESZKkMmpubgYY1a06owAAGD9JREFU\nBeyTmLUNWIFN9SQpU945T5KkMnrhhRcAPgksTTyWAx/MLDBJEmANkiRJZbVt2zY++MEP8pGP\nfKSg/MILL6SxsfEMYFLiJZuA/6Tw3kt1wIWk/47/BZhfuoglqW/piwlSDTAcGAI0AY3ZhlM1\n3gP8GOifMu97wGfLG44k9V61tbWMHTu2oKypqYmxY8d+pK6urjVz2rZtG0uXLgX4BbAob/FD\na2pqbpg4cWLBOtauXUtDQ8OTtE+Q/g24IiWUZuACYG53t0WSqk1fSZB2Ay4GTgQOBIblzVtP\nuNr2AHAH8GbZo6sOe9bV1e1y+eWXFxQuWLCAxx57bL+MYpKkinLeeecV3AeuoaGB008/HeBH\nhIt6OXU1NTXcfvvtBa+/5557uOuuu0YAyRFvpk2ePHmnk046qaDwhhtuoLGx8WZCApVvG3AG\n8EKi/B8IFxiTXgaeS5TtBExNWRbgCeCNIvMkKVN9IUF6P3AfoTlCI7AYaADeAgYTkqdDgaMI\nV9c+CPwxk0h7n28C41LK1wBnUdjcg0GDBjF9+vSCBZcsWcJjjz3WYwFKUjVrago50bnnnnvg\nzjvv3Fr+xBNP8Oijj7ZbfvHixQATCTVOBXbbbbd239GzZ89m+vTpe0ydOnWP/PKbbrqJlpaW\nvSlMkA4Aflsk1BeBvRNlV9A+8cr5CnBNomwXYETKsluAl4qsR5JKrtoTpFHAfxOuUp0FzAO2\npiw3BDgVuJHQzGB/bHoHcO6MGTP6jxkzprVg3bp1zJs3D8KP3ut5yw7vYD0DCVcSk2WSpE6Y\nNm0a48ePb51ubGxMTZC2bdvGxIkTueOOOwrKzz777KLrfsc73sHMmTMLym688UaAy4DT84pH\nA8ydO5eRI0e2Fi5YsIBZs2alfc/XHnbYYcyePbug8KqrruLxxx9PO/9YCEwoEuYUwiAW+ZoI\n/bM6ox8wMqW8hc7XZA0H/p1wcTVpMeEcYkcMprCFS85myn9OMgQYmlL+FrCxzLFIZVftCdIH\nCF/YJxK+eIvZBNwNvAb8HDiBUOtUbY4ATkop30aoLUo2peDEE09kypQprdNPPPFELkF6vjNv\nuGjRIghNPdZ0PVxJUlYOPvjgmaNGjWqdXr16Nc8++2y75WIfqbez49/zQ6+44gqmTZvWWrBq\n1SouvPBCgKdSlm8Cbk6UjSLURP0tUX4McEiR950HPJ0oeyewhJAQ5LwNOO/II49k4MC2a3yv\nvPIKzz///Hpg15R1P0xKbV4RTxG6ASRtIwwJv6KT6ymFlcDOKeWbCPthQxljUeftA5xPen/w\nB4DflzecylVD2/0WvgTUZxdKj7iasF2DOrl8f8KVmn8DZm9n2Y6MB/5A5xPQAYQmgININFsr\nsTuBTxSZt5HCHwKAUcOGDavp37/tc7ZlyxY2bUq/YFdTU9PuxogbN25k27ZtqcsPGjSIwYML\nL8StX7+eIUOGFPz4NDc309jYyLBhw0iLpa6urmAdTU1NNDc3M3x4YaVWY2Mj/fr1Y+jQwoti\n69evZ/DgwQwaNKhdebH3rK2tpaamprV806ZNbN26NXX7a2pq2r3nhg0bGDhwoNvv9rv9bn9V\nbP+WLek/XQMGDGj3no2NjTQ3N2+isE8VwMghQ4b0S9v+3qQr20/4TU8mE8MISU/yN3ckxW+/\n8mZ8TU5/Qo1Wst/0QMK5RHKn5fqNJX/AhxPOe5IbMIpwjpjmDQrv1TUgrj+5nYNjnMkap2Lb\nXxvjS7b0GUHoL57/nj29/SPiOvL3eQ3hXC35nr1p+4vVQgLcRRiQRcXVA9dC9SdIlwC3AmOA\nv3di+T0I7ZwvIQyp2l39gGl0PkGqIVx5+v4OvGdnjAXekVK+B+HKX/JDvA+hSUNzXlkNoQlE\n8urcoLj+FxPlIwjV9KsS5WMIP47JD/dewKuEL6x8+xLuE5L/BdGPkIwuTSw7jNAUZGWifHR8\nTl7ldPvdfrff7Xf7C7n9bv9y3P5q2X6AZ+P6VVw9MUGCsMNbqL7kCEJVdQsh8dheLdJwQvVj\nM+Coa5IkSVLfUU/Mi6q9D9IiQk3Qp4DpwEOEDLqBkKEPJmTy7wI+RGi3/O+EdseSJEmS+qBq\nrkGCUCV6KaHpXEsHjyXAuRnFKEmSJCk79fSRGiQIG3ozcAtwEKHZ3a6EDnWbCCPXPQ38NasA\nJUmSJPUOfSFBymkhJELJoTwlSZIkCSg+nKQkSZIk9TkmSJIkSZIUmSBJkiRJUmSCJEmSJEmR\nCZIkSZIkRSZIkiRJkhSZIEmSJElSZIIkSZIkSZEJkiRJkiRFJkiSJEmSFJkgSZIkSVJkgiRJ\nkiRJkQmSJEmSJEUmSJIkSZIUmSBJkiRJUmSCJEmSJEnRgKwDUJ+1BJiYdRCSJEm9xL8CN2Qd\nhEyQlJ0VwO+AW7IORCVxPPAZ4ISsA1HJPA58Oj6r8l0bn7+UaRQqlcOAW+OzqsN8YFXWQSgw\nQVJWNgOvAU9mHYhKYn9gCx7PatJCqOn1mFaH1+Ozx7M6jCJ8Rj2e1WMLsC3rIBTYB0mSJEmS\nIhMkSZIkSYpMkCRJkiQpMkGSJEmSpMgESZIkSZIiEyRJkiRJikyQJEmSJCkyQZIkSZKkyARJ\nkiRJkqIBWQegPmtzfKg6eDyrj8e0ungsq4ufz+rjMe1lWuKjPuM41LfsCtRmHYRKZgAwLusg\nVFLjgZqsg1DJ7BQfqg41hM+oqsc4rLjIWj0xL/JAKCt/zzoAldRWYEXWQaiklmUdgEpqbdYB\nqKRa8DNabfwN7UXsgyRJkiRJkQmSJEmSJEUmSJIkSZIUmSBJkiRJUmSCJEmSJEmRCZIkSZIk\nRSZIkiRJkhSZIEmSJElSZIIkSZIkSZEJkiRJkiRFJkiSJEmSFJkgSZIkSVJkgiRJkiRJkQmS\nJEmSJEUDsg5AAsYAewF/B14CtmUbjrqoH3AAMAJYAbySbTgqgZHABKAJWAZsyjYcldAhQC3w\ne+CtjGNR9+0KjAfWAkvxd7PS7Uw4nuuBF/E7t1doiY/6jONQ3/MPwJO0/Q+2AKuAi7IMSl1y\nOiEhyj+GjxASXlWeccB9FB7Pt4AbgWEZxqXSOJxwIt0C7JFxLOqeXYAf03YcWwgXMY7PMih1\n22TglxR+527E79ys1NN2HEyQlInJQCOwGrgcmAGcR/iib4l/q3c7jvAj/QwhUToKuJpw5Wsx\nMCS70NQNI4DngK3A/wXeD3wY+BXhM/m9zCJTKQwEnqbtN98EqfIMBB4HNgPXEi4yfpS2Wt79\nsgtN3bAHsI5wYfh0woXFg4BbCZ/RH2UXWp9VjwmSMvbfhP+7oxPl74rlvy93QOqyJ4ENwG6J\n8s8SjuHFZY9IO+KTpP8WDAVWAluA4WWOSaVzDeEYzsMEqVJdRDh2n0qUHwL8D9YiVZorCccz\nrdXMX4BmYKeyRqR6TJCUsbOAq4rMe5PQBle91zjC98YPUuaNINRCLChrRNpRRwOfB3ZPmfcg\n4XiPL2dAKpn9CTUM1wNfxwSpUv2O0FfX/uPV4cuEz+JxKfMeivPSvo/Vc+oxQVIvtTPhqokn\n173bhwjfG/9SZP4iQvNJVYc/E2oLbTZZeWqAXwMvEPo0mCBVpkGEGsAfx+k9gZmEWiNrGSrT\nCYTP4nWJ8qGEAateIHx+VT71xLzIqxDqbWYTvhBuyToQdSh3clVsxLpXgEmEL/qmskSknnIW\noenr13FkpUp0ATCNcJV6Y8axqPv2JtQcrQTuIBzX3MnzJuALhL6Dqhzzge8S+mGPBn5LaMZ8\nLjCKtguRyog1SOotcu1x/yvrQLRd/0I4VicXmZ9rHrBL2SJST5hBOKl+EkdUqkRjCcNA5w+w\nYQ1SZTqMcNwaCCOFHkJocTGDMLhKC/BPmUWn7tqNtibM+aPYXQ70zzCuvqoem9iph40B/pp4\nfL/IsgOA2wn/h7fjDYwrQW4ghtOKzJ8f548oW0QqtfMIo2UtJJyIqfLcRzihzr9QYYJUmXIJ\n0mraf68eRGia/li5g9IOGU9obbGYMGroKELTycsIzSkfzC60Pqsem9iphzUDryXK1qQstxPh\nR/xowqANX+vZsFQir8fnYm3fRxNOrjeUJxyVUD9Cm/grCJ/Nc7CZZCU6iVCjcDb2B6wGb8bn\n/837O+cZ4GXg4LJGpB11LaGWdybwVCx7A7iJ0KTyUuBY7JOdCRMk9ZQG2g/hnTSS8ME/gPBD\nfn8Px6TSWRyf90+Z149wP44lhERZleUO4BPALEK/BtvAV54BwG3A8jh9Vt68A+LzhwnN7+7B\nz2kleIFQqzCyyPyN2KS50hxCuJD4p5R5T8bnyZggZcYmdsrCAOA3hJvFTss4FnXdAEIt0nMp\n86YTvlNuKGtEKoVZdDw6oSpDLYV9Gjp6ODJh5XiEUJs7NlE+GniLcCNgVY4nCZ/BtCbMn4vz\nLilrRKrHPkjK2NWE/7tzsw5E3ZY7mb46r2w04WrYZmBCFkGp244i1CR8O+tAVBK1RR63ET63\n+8VpVY6TCMfuIdoGTRkE3B3Li91bUL1T7j5It1DY93o08DfC/QT9HS2vekyQlLE3CP93Czt4\nJK+SqXcZCjxKOI7PA78itI3fSmiipcpyP+FYPkvxz+QHMotOpeIgDZXtZtoGa/gV8Gqc/gUh\nWVLlqCUMrNFCaI0xh3CfqzXANuAz2YXWZ9XjIA3K2P92Yhn7PvRuTcB7gY8D7wPqCFcyv0Vb\n+2lVjuWEG4p2ZFsZ4lDP+hvhOL+VdSDqlkuBecDpwO6EJGk+oS/Z1uzCUjdsIDRJP40wit3b\nCf3MvkVIljpznqQeZA2SJEmSpL6snpgXeb8ZSZIkSYpMkCRJkiQpMkGSJEmSpMgESZIkSZIi\nEyRJkiRJikyQJEmSJCkyQZIkSZKkyARJkiRJkiITJEmSJEmKTJAkSZIkKTJBkiRJkqTIBEmS\nJEmSIhMkSZIkSYpMkCRJkiQpMkGSJEmSpMgESZIkSZIiEyRJkiRJikyQJEmSJCkyQZIkSZKk\nyARJkiRJkiITJEmSJEmKTJAkSZIkKTJBkiRJkqTIBEmSJEmSIhMkSZIkSYpMkCRJkiQpMkGS\nJEmSpMgESZIkSZIiEyRJkiRJikyQJEmSJCkyQZIkSZKkyARJklQqw4Cjgf0zjkOSpG4zQZKk\n0hhHSA52zjiOLI0Dfgn8a9aB9DL+b0hSBTFBkqTSOI2QHEzNOhBl6kzgPxNl/m9IUgUZkHUA\nklQlNsTn9ZlGoazNBPZJlPm/IUkVxARJkkojeRJcR6gxWAn8LbHseGAv4E/AOkLfncOAZcCL\ncXoSsCm+9q0i7zkcOIDwXb4M+HtifnK9o4H9gLXA4rzlRhL6Da2Oy7bkzasFDslbx07ARGAz\n8AywtUhsSSPie/dPiXVsfP+lwEspr909vucS4I0SbFO+ru7DYscmd7yPAJoITerWAn+m8wnS\nmLjuYp4GXt/OOnIGEpr2vQ1YA7xA8WOVO6brCcdgc5HlOjqG0H5fHRDf/7eJ5ba3zyUpcy3x\nUZ9xHJJUyf6R8F26d5w+JE5/PWXZr8R5/xCnx8fpWcAlhBPVplj2elx3viHAbYST85a8x4K8\n90+u94tx+a2x7PfAKODz8b22xPLfEU5qcw6K5dcDXyOcPOfW8RpwXN6yB8Tyu/LKaoHv5q0/\n93gkL9ZJseyhlH0F8P04/+ASbRN0bx92dGwOSawnty5o/79RzFkp68h/zNzO63MuIRyb/Ne+\nAnw8sdxw4Hu07b8WQrKSXK4zxxDajv+XgTvj38/kze/sPpekLNTT9r1kgiRJJVBLSCZyNfNd\nSZD2jNPPAg8TTsoBDgRWEU7Ka/Nefy/hZPULhORiAnAR8CahVmNYYr2LCUnGTsBg4NZY/ltg\nPqHmYgAhsWgBrst7r9xJ7ytx2XGEGoTphJPpDYQaoPxl8xOk+bFsNqH2YX/CIA5bY6xD43KP\nxW0ak9hXQ+J2PVXCberOPtzeselPSM42AX+Mfw+Pyyb/N4qpBfZNPI4mJGSradvPHZke4/05\ncCShud+0ON0CHJW37AOx7AZCzdexhCSzmcKkvLPHMJdMPkyoHf0QcHjeejq7zyUpC/WYIElS\nj+pKgrRHnN5A+5qOr8d50+L0VNpOapP+Oc7L1QDk1ruWwgRr71i+mcKT7sGEk95H88pySU8T\nsEvi/S6J865ILJtLkI6M0/elxPrVOO9jcfrjiXXlfDiWX1rCberOPuzMsYGQIC1MWW939CMM\n7tACnNTJ13whLn90onwU4f/u/8TpQ+Ny304stxthf/0iTnflGOb21TZCE9J8XdnnkpSFemJe\n5Ch2ktR7PAE0JMpWxufcENEnxOetwEcSj0Fx3nsS63iStn4wEGqDIPTpeTWv/C1Cf5WdisS2\nOlGW61tyaMryEGokAH6cMu/B+Dw9Pt9LqI05N7HcaYRah3sS5TuyTd3Zh505NqV2FSHR+S9C\nbU9n5PpwXULhNr9BSJ7+EKdzTSP/J/H61wg1X++L0105hjlPEfog5evOPpekTDhIgyT1Hq+k\nlOU61vePz7kR0q7sYD27JaZXJaY3FynPzeufUp42eMJr8TnZLC5n7/j8Qsq83An0nvG5EfgB\ncCGhtuFJQtOtmYS+ScnkbEe2qTv7sDPHppQOBb4ELKJ9rdqXgVMTZR8nNI+7BzgZOIVQ6/QH\nQm3QXMIgDzm5fbCS9vIHBdk7PnfmGOakrbM7+1ySMmENkiT1Hs2dWGZgfD6OkECkPZLNsYqN\n4FasPM2mlLJcvMUutuViTRsVbUt8HpxXlmual6tF+gChGd13Ul6/I9vUnX3YmWNTKrWERGcb\ncAaheWO+NwnJaf4jt4+3EGJ/L2F/7k5ItP4C3E9bf6HcPtjeKIRdPYYQkt1i6+nKPpekTFiD\nJEnlV7v9RYrK1aTsQnrS0lPSmt2Nis9vFHnNmvic1gRtdHzOH7b6j4QT+dOAzxJqSVYRBgko\npaz2YWfdShig4TOE/ZF0fXx05FfxAWFQhVyt01XAtXR8bPJ19RgW09v3uSS1sgZJknpGrpnS\n8JR5Hd3rZnueiM8npMzbjdBnpCcufk1JKTsoPj9X5DVPxufDUubl+i39KVF+F6HJ3omE5nVz\n6Py9ljorq33YGacTatDmATd34/UjCMlVvsWEIcS30jaKXW5UwMNp7xuEJA26dwzT9OZ9Lknt\nOIqdJJVeLeGE9GmgJq/8CNruO5McxW5Oyno+G+edkrfeBsJV+PzBEQYSRhproe1ktqP15t+n\nJ99K4K9507mR6bYBn8orHwL8JrEdyVHsRhBqIF6hcGS5WsINVDcThnrOtxOhSdmLcV0HJeaX\nYptKtQ+TxwZCbdrSlGU7Y6/4+teAXbu5jocJtTXjE+W5URW/F6dHEkYCXEXhiHP/FJe7PU53\n5Rh2tK+6ss8lKQv1xLzIqzWS1DM2EPqRnE1oIvZLQof3E4H/AC6ne7X4Gwi1AXNpu+dPIyFJ\n2YswlPPjOxZ6qrnA1YQ+MS8QEr2JwA8pHEI735uEIaB/RLhh6E8IfXneT6g1uIT2ycRawohp\nZxJqHZ6h9HpyH/6JMPLco4Sk4rQuvPYrhMRlBXBjyvwfkz6aXL6rCYMyLCJsWwMh2ZoW//5q\nXG4dcB7h+D0blx1JOK5L4nqge8cwTVb/t5LUZTaxk6Se83FCrcsbhKGQNxCaOD0M/Jq2zuxv\nxem0pmor47z8IaZ/RmimdwOhWdJOhBPX9wDX5C3X0Xp/TagBSPo96SeqawlX/n9D6EeyCLgY\n+GjeMhvjehfnlT0IvBP4ZnzdGMKQ3lMIw1enyfU5+lbKvFJtUyn2YdqxOR+4m7C/nk95TUde\njOtbQ6iNST5GdGIdjxP291djDLsQaqSuJDS9yz82c4GDCU3qIIxUeAUwOb42p7PHsKN9BZ3f\n55KUOZvYSZKKSTabK4efEmo4dmQwC0mSuqIebxQrSeqFzicMBX0jhTeClSSpLOyDJEnqDb5O\naLL1HsJw31/LNhxJUl9lDZIkqSNp/Yp6Qr/4Xl8BZuC9ciRJGbEGSZLUkRWEUdl62qVleA9J\nkrbLGiRJkiRJikyQJEmSJCkyQZIkSZKkyARJkiRJkiITJEmSJEmKTJAkSZIkKTJBkiRJkqTI\nBEmSJEmSIhMkSZIkSYpMkCRJkiQpMkGSJEmSpMgESZIkSZIiEyRJkiRJikyQJEmSJCkyQZIk\nSZKkyARJkiRJkiITJEmSJEmKTJAkSZIkKTJBkiRJkqTIBEmSJEmSIhMkSZIkSYpMkCRJkiQp\nMkGSJEmSpGhA3t9HAVdmFYgkSZIkZeSo3B81QEuGgUiSJElSr2ETO0mSJEmK/j8rn0gFhh7u\nlgAAAABJRU5ErkJggg==",
      "text/plain": [
       "Plot with title “'unemployment' domain histogram”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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r0+r2g6mHz2tse17xeoi5oOwH5M9ZCm\nL5Q3jvlvWHbbql9s7xeyL2vqgvTmphPk3lg9tunEmnds6oa0dB6a/9L0Rej+o4Zd4/7r4Ovi\nUN8b692mDsV61uNmPc+/bO/5dZYPJvCpmdt+amb+oazn4w9Qx2ati836LPti0/vhnHF5RlNo\nurYpGP1p0/a7PBgcaDuv9X3Ob9Zna238+q5D2+5gbpb/qgewVX44vxoCbDSfrbB252cPEiyc\nEzu0Edt2tfJJLDfC/Zv6p9+u6diYuzf9ElnTr+WzQ8n+ySbVsBG242sL7Fz3bzE+W2FbEpBg\ncdyu+qlDuN0F1Ys3uJYlH2rqOrJ0UsU/bzoIeU/T6GpLw8VeU/3CJtWwEbbjawvsXIvy2Qrb\nli52wGZ6eNNxF/s7CPmypqFjAVg9n62wsc5PFztgi7yl6UD/b286f8aXNo3WtavpV8/XNA1R\nC8Dq+WyFTWQPEgAAsJOd38hFR865EAAAgG1DQAIAABgEJAAAgEFAAgAAGAQkAACAQUACAAAY\nBCQAAIBBQAIAABgEJAAAgEFAAgAAGAQkAACAQUACAAAYBCQAAIBBQAIAABgEJAAAgEFAAgAA\nGAQkAACAQUACAAAYBCQAAIBBQAIAABgEJAAAgEFAAgAAGAQkAACAQUACAAAYBCQAAIBBQAIA\nABgEJAAAgEFAAgAAGAQkAACAQUACAAAYBCQAAIBBQAIAABgEJAAAgEFAAgAAGAQkAACAQUAC\nAAAYBCQAAIBBQAIAABgEJAAAgEFAAgAAGAQkAACAQUACAAAYBCQAAIBBQAIAABgEJAAAgEFA\nAgAAGAQkAACAQUACAAAYBCQAAIBBQAIAABgEJAAAgEFAAgAAGAQkAACAQUACAAAYBCQAAIBB\nQAIAABiOnncBbKnbVmfN/P356q/nVAsAAGw7AtLO8oyjjz76e0844YRuvPHGrrrqqt3V8dX1\n8y4MAAC2A13sdpajHvzgB3fBBRf0nOc8p6b1bxsAAIDBl2MAAIBBQAIAABgEJAAAgEFAAgAA\nGAQkAACAQUACAAAYBCQAAIBBQAIAABgEJAAAgEFAAgAAGAQkAACAQUACAAAYBCQAAIBBQAIA\nABgEJAAAgEFAAgAAGAQkAACAQUACAAAYBCQAAIBBQAIAABgEJAAAgEFAAgAAGAQkAACAQUAC\nAAAYBCQAAIBBQAIAABgEJAAAgEFAAgAAGAQkAACAQUACAAAYBCQAAIBBQAIAABgEJAAAgEFA\nAgAAGAQkAACAQUACAAAYBCQAAIBBQAIAABgEJAAAgEFAAgAAGAQkAACAQUACAAAYBCQAAIBB\nQAIAABgEJAAAgEFAAgAAGAQkAACAQUACAAAYBCQAAIDh6HkXsIUeUJ1bnVXdpjq+urraVV1Y\n/V71f+ZWHQAAMHc7ISDdvvqd6mtm5l1XXVsdV3119c3VT1Zvrb6zumyLawQAALaBRe9id0z1\n+9XZ1fOr+1YnNQWjW47LU6oHVi+tHla9scV/XQAAgBUs+h6kh1ZnVt9VvXw/bT5X/fGY/qb6\nper+1Tu2oD4AAGAbWfQ9JWdWN1avXmX7F1d7qntsWkUAAMC2tegB6cam53jMKtsfUx3RFJIA\nAIAdZtED0nubAs+TV9n+aePSaHYAALADLfoxSO+q/qz6+eo+1eur91eXNI1kd1x1anW36vHV\nOdUfjtsAAAA7zKIHpN3Vo6qXVI8b04Havqz6oXSxAwCAHWnRA1LV5dVjqjs37SE6s70nir2m\n+kz1d9Wbq3+eU40AAMA2sBMC0pIPjwkAAGBFOykgPaA6tzqrvXuQrq52VRdWv5fBGQAAYEfb\nCQHp9tXvVF8zM++66tqmQRq+uvrm6iert1bfWV22xTUCAADbwKIP831M9fvV2dXzq/tWJzUF\no1uOy1OqB1YvrR5WvbHFf10AAIAVLPoepIc2DcrwXdXL99Pmc9Ufj+lvql+q7l+9YwvqAwAA\ntpFF31NyZnVj9epVtn9x0xDf99i0igAAgG1r0QPSjU3P8ZhVtj+mOiLnQQIAgB1p0QPSe5sC\nz5NX2f5p49JodgAAsAMt+jFI76r+rPr56j7V66v3V5c0jWR3XHVqdbfq8U0nkv3DcRsAAGCH\nWfSAtLt6VPWS6nFjOlDbl1U/lC52AACwIy16QKq6vHpMdeemPURntvdEsddUn6n+rnpz9c8b\n+Lhf1rSHai0+soGPDwAArNFOCEhLPjymrXDH6p/WeJs91bHVDRtfDgAAsBo7KSA9oDq3Oqu9\ne5CurnZVF1a/18YNznBRdXqr34N0z+p3WvxBMwAAYFvbCQHp9k3h42tm5l1XXdsUYL66+ubq\nJ6u3Vt9ZXbYBj/upNbQ9bQMeDwAAWKdF32NxTPX71dnV86v7Vic1BaNbjstTqgdWL60eVr2x\nxX9dAACAFSz6HqSHNg3K8F3Vy/fT5nPVH4/pb6pfqu5fvWML6gMAALaRRd9TcmZ1Y/XqVbZ/\ncdNgCffYtIoAAIBta9ED0o1Nz/GYVbY/pjoi50ECAIAdadED0nubAs+TV9n+aeNyo0azAwAA\nDiOLfgzSu6o/q36+uk/1+ur91SVNI9kdV51a3a16fNOJZP9w3AYAANhhFj0g7a4eVb2ketyY\nDtT2ZdUPpYsdAADsSIsekKourx5T3blpD9GZ7T1R7DXVZ6q/q95c/fOcagQAALaBnRCQlnx4\nTAAAACta9EEalpxSPbb6d9VdD9DumKZudo/egpoAAIBtZicEpEdWH69e1xR+/qF6VXXiCm2P\nagpRZ29VcQAAwPax6F3sbt508tdjqhdUF1VfW53XtCfpgdXn51YdAACwrSx6QHpIdVrTEN6v\nnpn/29X/qi4Yba7b+tIAAIDtZtG72J3RNGT3/142/3eb9iLdr3rRVhcFAABsT4sekK6tjqiO\nXWHZG6unNR1z9FNbWRQAALA9LXpA+vtx+X37Wf78pmOUnlH96JZUBAAAbFuLfgzSO6u/qp5b\nfVXTnqJPLmvzg+PyOdWDt640AABgu1n0PUhV31b9bVNXutNWWL67+v7qJ6oHbGFdAADANrMT\nAtInqntV31B96ADtnl392+r/q/5k88sCAAC2m0XvYrdkd/XuVbS7qHrmJtcCAABsUzthDxIA\nAMCqCEgAAACDgAQAADAISAAAAIOABAAAMAhIAAAAg4AEAAAwCEgAAACDgAQAADAISAAAAIOA\nBAAAMAhIAAAAg4AEAAAwCEgAAACDgAQAADAISAAAAIOABAAAMAhIAAAAg4AEAAAwCEgAAACD\ngAQAADAISAAAAIOABAAAMAhIAAAAg4AEAAAwCEgAAACDgAQAADAISAAAAIOABAAAMAhIAAAA\ng4AEAAAwCEgAAACDgAQAADAISAAAAIOABAAAMAhIAAAAg4AEAAAwCEgAAACDgAQAADAISAAA\nAIOABAAAMAhIAAAAg4AEAAAwCEgAAACDgAQAADAISAAAAIOABAAAMAhIAAAAg4AEAAAwCEgA\nAACDgAQAADAISAAAAIOABAAAMAhIAAAAg4AEAAAwCEgAAACDgAQAADAISAAAAIOABAAAMAhI\nAAAAg4AEAAAwCEgAAACDgAQAADAISAAAAIOABAAAMAhIAAAAg4AEAAAwCEgAAACDgAQAADAI\nSAAAAIOABAAAMAhIAAAAg4AEAAAwCEgAAACDgAQAADAISAAAAIOABAAAMAhIAAAAg4AEAAAw\nCEgAAACDgAQAADAcPe8CttDNq/tXZ1W3qY6vrq52VRdWf1pdN6/iAACA+dsJAenY6lnVf6xO\nOEC7z1c/Vz2n2rMFdQEAANvMTghIr6m+tXpf9brq/dUl1bXVcdVp1dnVdzQFpDtUPziXSgEA\ngLla9IB0n6Zw9Lzqae1/z9AbqmdUL6p+oPqV6u+3okAAAGD7WPRBGr6uKRT9dAfvNndD9ePj\n+v03sSYAAGCbWvSAdFx1Y3XFKtt/rtrdNKADAACwwyx6QPpwUzfCc1bZ/lubXpMPblpFAADA\ntrXoAemt1SerV1RPrk7dT7vbNXWv+83qonE7AABgh1n0QRquqh5dXVC9YEyXNY1id11TF7xT\nq5NH+w9V39I0wh0AALDDLHpAqnpvdZfqCU1d7c5s74lir6k+Xf1B9cbqtdX18ykTAACYt50Q\nkGrak/TiMQEAAKxopwSkmkamu391Vnv3IF1d7aourP60qdsdAACwQ+2EgHRs9azqP1YnHKDd\n56ufq57Twc+ZBAAALKCdEJBe0zR89/uq11Xvbxqk4dqmQRpOq86uvqMpIN2h+sG5VAoAAMzV\nogek+zSFo+dVT2v/e4beUD2jelH1A9WvVH+/FQUCAADbx6KfB+nrmkLRT3fwbnM3NJ0LqaZj\nlQAAgB1m0QPScdWN1RWrbP+5anfTgA4AAMAOs+gB6cNN3QjPWWX7b216TT64aRUBAADb1qIH\npLdWn6xeUT25OnU/7W7X1L3uN6uLxu0AAIAdZtEHabiqenR1QfWCMV3WNIrddU1d8E6tTh7t\nP1R9S9MIdwAAwA6z6AGp6r3VXaonNHW1O7O9J4q9pvp09QfVG6vXVtfPp0wAAGDedkJAqmlP\n0ovHtBVOr15fHbXK9rfYxFoAAIBV2ikBaSUnNXWnu2NTgPrL6p0dfDjw1bik+vVW//resfqx\nDXhcAABgHRY9IH3XmB7evl3nHtTUne6UZe3fUz2munidj3tt9dI1tL9vAhIAAMzdogekM5rC\n0FHtDUinVr/bdK6jX6veXd2yaW/SOU3B6Zu2vFIAAGDuFj0greQJTYHoe5qG9V7ywuoXqx+u\n7tPU5Q4AANhBFv08SCs5s7qietkKy547Lu+9ZdUAAADbxk4MSF9oOhfSSoMx7Brzb7alFQEA\nANvCTgxI761u196Tw866W3VE9cktrQgAANgWdsoxSE+vLq0+39S97gvVzzQdb7Tk1OpXmwZz\neOdWFwgAAMzfTglI/32FeQ+cuX5k9ZGmrnXPzh4kAADYkRY9ID2vek1Td7rZ6aTq6pl2u6t3\nVb/XtBcJAADYgRY9IH1hTKtxzmYWAgAAbH87cZCGAzmq+r7qnvMuBAAA2HoC0r6OqV5cPWre\nhQAAAFtPQAIAABgW/RikY8e0WsdtViEAAMD2t+gB6SdaeYhvAACAm1j0gPT5cfm+6pJVtD+y\nesjmlQMAAGxnix6Qfq363urK6hHVjQdpf3z7nh8JAADYQRZ9kIZrqydU965+as61AAAA29yi\nB6SqC6unVd9a3WXOtQAAANvYonexW/IrYzqYa6uvqz65ueUAAADb0U4JSKu1p/qLeRcBAADM\nx07oYgcAALAqAhIAAMAgIAEAAAwCEgAAwCAgAQAADAISAADAICABAAAMAhIAAMAgIAEAAAwC\nEgAAwCAgAQAADAISAADAICABAAAMAhIAAMAgIAEAAAwCEgAAwCAgAQAADAISAADAICABAAAM\nAhIAAMAgIAEAAAwCEgAAwCAgAQAADEfPuwC2pa+pntneAH1d9X3VrrlVBAAAW0BAYiVfc9JJ\nJz303HPPbc+ePb3mNa+pulMCEgAAC05AYkUnn3xyT3rSk9q9e/dSQAIAgIXnGCQAAIBBQAIA\nABgEJAAAgEFAAgAAGAQkAACAQUACAAAYBCQAAIBBQAIAABgEJAAAgEFAAgAAGAQkAACAQUAC\nAAAYBCQAAIBBQAIAABgEJAAAgGEtAem7qheu4v4+UT3ikCsCAACYk7UEpDOqrz1Im5tVt6m+\n4pArAgAAmJOjV9HmL8bl6dWtZv5e7ojqDtVx1eXrLw0AAGBrrSYg/X71NdWdqxOqsw/Q9gvV\ny6tXrb80AACArbWagPQz4/L86tEdOCABAAActlYTkJa8qHrtZhUCAAAwb2sJSJ8e02nV3aoT\nm447WskHxgQAAHDYWEtAqnpO9dQOPvrdTzd1yQMAADhsrCUg3bv60ervqjdWl1W799N2fyPd\nAQAAbFtrDUj/3DSi3bWbUw4AAMD8rOVEscdX7084AgAAFtRaAtJ7q7u2/4EZAAAADmtrCUh/\n0hSSnlsdtynVAAAAzNFajkH6xupj1fdV31n9TXXpftr+7pgAAAAOG2sJSA9oGuK76qTqYQdo\n+08JSAAAwGFmLQHpl6vfrG5cRdsvHFo5zNFJ1b8Z179knoUAAMC8rCUgXTYmFoHmsLsAACAA\nSURBVNNbqq+bdxEAADBPawlIXz6mgzmq+mR10SFVxLzc7IlPfGLnnHNOv/zLv9yuXbvmXQ8A\nAGy5tQSk76n++yrb/nR1/pqrYa5uectbdtvb3rYTTjhh3qUAAMBcrCUg/Wn1rP0su3V17+oO\n1TOrt6+zLgAAgC23loD0jjEdyI9Uj62ef8gVAQAAzMlaThS7Gr/YtDfpIRt8vwAAAJtuowNS\n1ceru23C/QIAAGyqjQ5IJ1f3qP5lg+8XAABg063lGKRzxrSSI6pTqgc3nWz03eusCwAAYMut\nJSB9bdMgDAfyheq/VO8/5IoAAADmZC0B6UXVm/azbE91RfWR6vr1FgUAADAPawlInx4TAADA\nQlpLQFpyWvWdTSeGvc2Yt6v6s+oV1ec3pjQAAICttdaA9Ijq1dWJKyz7juqnqm+p/nKddQEA\nAGy5tQzzfVLTHqIrqx+qvqo6dUx3r55aHVW9rjp+Y8sEAADYfGvZg/SwpvMcfXX13mXLPltd\nWP1p9VfVQ6vf24gCAQAAtspa9iCd0XSs0fJwNOuvq09Ud11PUQAAAPOwloB0Y3WzVd7n7kMr\nBwAAYH7WEpDe33Qc0mMO0OZh1ek5USwAAHAYWssxSG+rLmoaqOFF1Tuazot0RPWl1YOr76s+\nVP3RxpYJAACw+dYSkK6vHlX97+pHxrTcP1SPHm0BAAAOK2s9D9IHqrOqc6v7Vret9jQN3vCu\n6g+qGzayQAAAgK2yloB0RFMYur66YExLjm0KRgZnAAAADlurHaTh3k3nN7r1fpb/5+qd1R03\noigAAIB5WM0epLs3Dchw8+p+1RtWaHNy9fWj3dc0nTh2O7pl0zmablMdX13d1D3wg9VVc6wL\nAADYBlYTkH6jOqH6jlYOR1U/0TS098urF1SP25DqNs4jqh9rCnFHrbD8+qZR+p5VvWcL6wIA\nALaRgwWkr6ruVf1y9dsHafvK6kHVd1W3q/553dVtjKdXz66urd7eFOQuGX8fV51Wnd10Dqdz\nqidVL51LpYeHH6x+dObvi6tvzOAcAAAsgIMFpHuMy1es8v5eWn130wh3BwtUW+EO1TObuv6d\n14G7/t2hem3THrC3NHW946buede73vWMc889t4svvrhXvvKVZzR1V7xi3oUBAMB6HWyQhtuO\ny4+s8v4uGpdffmjlbLiHNnWp++4OflzUR6snNn3Zf/gm13VYO/3003vkIx/Z/e53v3mXAgAA\nG+pge5CWTvh63Crv7+bjcrsMeHBK03P4xCrb/2PTUOWnblpFC2TPnj1LV7+1uqZpGPi3V5+b\nV00AALAeB9uD9NFx+bWrvL/7j8uPH1I1G29XdUzTyW1X455Nr8mnN62iBfKpT32qqlvc4hb/\n68QTT3ztkUce+TvVv59rUQAAsA4HC0h/0jSYwY83BY0DOan6r9W/NO1F2A7e0jSU9yuqMw/S\n9j7Vq6ovVm/e5LoWwu7d03mBX/Oa13TBBRd05zvfuVYeJRAAAA4LB+ti97nq16sfrn6n+t7q\nshXa3akpXJzRNFT21RtY43pcXD25eknT6HUfbO8odtc1dR08tbpbU+3XVo+vLp1HsQAAwHyt\n5jxIT6++uvqW6sHVm6q/aRq17JSmPS8Pa9pz8Lbq/M0odB1eVl1YPbWpzseu0OYzTSHqudWH\ntqwyAABgW1lNQLq6emD1M017Y/7fMc26pHp+9Zzqxo0scIO8r3rCuH5qdZum0equaQpHl8yp\nLgAAYBtZTUCqvcch/Uz19dWdm0asu6RpCPB3tz2D0XK3rG7f3oB0ddOxVVe2fUbeAwAA5mS1\nAWnJldUfjulw8ojqx5rC3UqDCFzf1D3wWdV7trAuAABgG1lrQDocPb16dtNesLe3d5CGa5sG\naTitOrvp+KRzqidVL51LpQAAwFwtekC6Q/XM6h3VedVnD9L2tdULmoYH37Xp1R1eHtAUJs+Y\ndyEAALBZFj0gPbSpS913d+BwVNNJcZ9Y/UP18OxFqmrPnj1V3exmN/vpo446qiuvvHLOFQEA\nwOY52IliD3enNB1f9IlVtv/HanfTSHfM+Nmf/dkuuOCCTj/99HmXAgAAm2bRA9KuplHqzlpl\n+3s2vSaf3rSKAACAbWvRA9JbmobyfkV15kHa3qd6VfXF6s2bXBcAALANLfoxSBc3ndz2JU2j\n132wvaPYXdc0it2p1d2aBh+4tnp8dek8igUAAOZr0QNS1cuqC6unNg3l/dgV2nymKUQ9t/rQ\nllUGAABsKzshIFW9r3rCuH5qdZvq+OqapnB0yQY/3olNJ6Y9ZpXtv2yDHx8AADgEOyUgLbll\ndfv2BqSrm0LMldVVG/g4J1R3H5ercdK4PGIDawAAANZopwSkRzTt0fn6pvMiLXd99bbqWdV7\nNuDxPls9ag3t71v9WbVnAx4bAAA4RDshID29enbTAAxvb+8gDdc2DdJwWnV20/FJ51RPykli\nAQBgR1r0gHSH6pnVO6rzmvbsHKjta6sXNA0PvmvTqwMAALaVRT8P0kObutR9dwcOR1UfrZ7Y\ndGzSwze5LgAAYBta9IB0StPxRZ9YZft/rHY3jXQHAADsMIsekHY1jVJ31irb37PpNfn0plUE\nAABsW4sekN7SNJT3K6ozD9L2PtWrqi9Wb97kugAAgG1o0QdpuLh6cvWSptHrPtjeUeyuaxrF\n7tTqbtUZTSPbPb66dB7FHu6++MUvVp1bfcmYdWFT6AQAgMPCogekqpc1fVF/atNQ3o9doc1n\nmkLUc6sPbVllC+byyy/v9NNPf8Cpp576gEsvvbSPf/zjH05AAgDgMLITAlLV+6onjOunVrdp\nGq3umqZwdMmc6lo4j3zkI/v2b//23vzmN/cLv/AL8y4HAADWZKcEpFkXj2klR1R3rC4fEwAA\nsIMs+iANa3Vc9eHqh+ddCAAAsPUEJAAAgEFAAgAAGBb9GKTvH9NqHbFZhQAAANvfogekU6t7\nNZ3zaM+cawEAALa5Re9i9xtNo9H9RtOw3gebTp5PmQAAwHaw6AHp09UPVP+h+tY51wIAAGxz\nix6Qql5X/VbTXqTbzbkWAABgG1v0Y5CWfF9T97krDtLu+uq/Vu/e9IoAAIBtZ6cEpBuqS1fR\n7sbq5za5FgAAYJvaCV3sAAAAVkVAAgAAGAQkAACAQUACAAAYBCQAAIBBQAIAABgEJAAAgEFA\nAgAAGAQkAACA4eh5F8Bi2r17d9Vx1b3GrBurv632zKsmAAA4GAGJTfHBD36w6surv56Z/Q3V\nu+dSEAAArIIudmyKG2+8sdve9rZdcMEFXXDBBR155JE17VECAIBtyx4kNs2RRx7ZiSeeOO8y\nAABg1exBAgAAGAQkAACAQUACAAAYBCQAAIDBIA1spbtUnx/XL5q5DgAA24KAxJYYJ4791ZlZ\nL6++az7VAADAynSxY8s84xnP6IILLujcc88t50QCAGAbEpDYMieccEInnnhixxxzzLxLAQCA\nFQlIAAAAg4AEAAAwCEgAAACDgAQAADAISAAAAIOABAAAMAhIAAAAg4AEAAAwCEhsuYsuuqjq\n0dXlY/qn6vh51gQAAFVHz7sAdp4rr7yyM88889jHPe5xx1588cW98IUvvFV1s+qaedcGAMDO\nJiAxF7e+9a37pm/6pj7ykY/MuxQAAPhXutgBAAAMAhIAAMAgIAEAAAwCEgAAwCAgAQAADAIS\nAADAICABAAAMAhIAAMAgIAEAAAwCEgAAwCAgAQAADAISAADAICABAAAMAhIAAMAgIAEAAAxH\nz7sAdrbdu3cvXf131ZXV7upN1WfmVRMAADuXgMRc7dq1q6rTTjvteUcccUSXXXZZ11133Y9X\nz5lvZQAA7ES62DFXe/bsqerXf/3Xe+UrX9md7nSnqqPmWhQAADuWgAQAADAISAAAAIOABAAA\nMAhIAAAAg4AEAAAwCEgAAACDgMS28pnPfKbqadVFY3rNXAsCAGBHcaJYtpVrrrmm+93vfqfc\n+973PuUDH/hAb33rW50TCQCALWMPEtvOV3zFV/TIRz6yu9/97vMuBQCAHUZAAgAAGAQkAACA\nQUACAAAYBCQAAIBBQAIAABgEJAAAgEFAAgAAGAQkAACAQUACAAAYBCQAAIBBQAIAABgEJAAA\ngEFAAgAAGAQkAACAQUACAAAYBCQAAIDh6HkXAPuza9euqttWfz1m3Vg9sfrQvGoCAGCxCUhs\nW5dddlm3uMUtjj3vvPPuVfXSl760G2+88YwEJAAANokudmxrN7/5zTvvvPM677zzOuqoo+Zd\nDgAAC05AAgAAGAQkAACAQUACAAAYBCQAAIBBQAIAABgEJAAAgEFAAgAAGAQkAACAQUACAAAY\njp53AVvsltVdq9tUx1dXV7uqD1ZXzbEuAABgG9gpAekR1Y9VX18dtcLy66u3Vc+q3rOFdbEG\ne/bsqbpHdcOY9cHqk3MrCACAhbMTAtLTq2dX11Zvr95fXTL+Pq46rTq7elh1TvWk6qVzqZQD\nuv7666t+dmbW66rHzacaAAAW0aIHpDtUz6zeUZ1XffYgbV9bvaB6S1PXO7aZn/u5n+ve9753\nL3jBC3r961+/6NsvAABbbNEHaXhoU5e67+7A4ajqo9UTm45Nevgm1wUAAGxDix6QTmk6vugT\nq2z/j9Xu6tRNqwgAANi2Fj0g7aqOqc5aZft7Nr0mn960igAAgG1r0QPSW5qG8n5FdeZB2t6n\nelX1xerNm1wXAACwDS36Qe4XV0+uXtI0et0H2zuK3XVNo9idWt2tOqNpZLvHV5fOo1gAAGC+\nFj0gVb2surB6atNQ3o9doc1nmkLUc6sPbVllAADAtrITAlLV+6onjOunVrdpGq3umqZwdMmc\n6gIAALaRnRKQltyyun17A9LVTYM4XFldNce6AACAbWCnBKRHVD9WfX3TeZGWu756W/Ws6j1b\nWBcAALCN7ISA9PTq2U0DMLy9vYM0XNs0SMNp1dlNxyedUz2peulcKgUAAOZq0QPSHapnVu+o\nzqs+e5C2r61e0DQ8+K5Nrw4AANhWFj0gPbSpS913d+BwVPXR6onVP1QPb317kY5o6s53/Crb\nr/ZEtgAAwCZa9IB0StPxRZ9YZft/rHY3jXS3Hndo6s537Bpvd8Q6H3fH+Jd/+ZeqO1c/PmZd\nWf1q0/oDAIBDsugBaVfTKHVnNR17dDD3rI6sPr3Ox/1I0/FNq3Xf6s+qPet83B3jYx/7WCef\nfPJZd7zjHX/u6quv7gMf+EBNXSQPtqcQAAD268h5F7DJ3tI0lPcrqjMP0vY+1auqL1Zv3uS6\n2ABf+ZVf2XOf+9x+9Ed/dGmWPXAAAKzLou9Burh6cvWSpj1IH2zvKHbXNe3lObW6W3VG08h2\nj68unUexAADAfC16QKp6WXVh9dSmobwfu0KbzzSFqOdWH9qyygAAgG1lJwSkqvdVTxjXT61u\n0zTC3DVN4eiSOdUFAABsIzslIM26eExVX159ZXVV016mq+dVFAAAMH+LPkjDN1Y/1XQupFmn\nV39UfbzpJLJ/UV1W/Ww7MzQCAAAtfkB6YPWMpqG+lxzXFI4eVP199eLqt5tGr/uv1S9tcY0A\nAMA2sRP3lnxH9RVNJxX9T+09segtq/9d/UD1C9VFc6kOAACYm0Xfg7SS+zQN8f209oajqi9U\nP9z0mjxgDnUBAABzthMDUtWnWnlAhn+o9lS33tpyAACA7WAnBqQPVl/Wyt0Lv7Q6ovrsllYE\nAABsCzslIN23aTjv06s3NA3r/aRlbY6ozh/X37tllQEAANvGThmk4e0rzHty9Wvj+pFNoejs\n6verv9miugAAgG1k0QPS71afqU5eNp1UXTrTbnd1avU71fdscY2s0+7d/zrWxg9VV4zrr8tI\nhAAArNGiB6QLx7Qad20ayY7DzGc/Ox0ydsYZZ/zU0Ucf3Sc/+cmuuuqq46qfmW9lAAAcbnbK\nMUirIRwdpvbs2VPVc57znF74whd2hzvcoaaBOO41ptvNrzoAAA4nAhIL5xOf+ETV91d/PaZ3\nzrUgAAAOGwISC2fPnj2dd955XXDBBT31qU+tOm7eNQEAcHgQkFhIxx57bCeeeGLHH3/8vEsB\nAOAwIiABAAAMAhIAAMAgIAEAAAwCEgAAwCAgAQAADAISAADAICABAAAMAhIAAMAgIAEAAAwC\nEgAAwCAgAQAADEfPuwDYTJdffnnVrarXjlk3Vk+vPj6vmgAA2L4EJBbarl27Ou644054yEMe\n8riqt771rd1www2vTkACAGAFAhIL7xa3uEVPecpTqnrHO97RDTfcMOeKAADYrhyDBAAAMAhI\nAAAAg4AEAAAwCEgAAACDgAQAADAISAAAAIOABAAAMAhIAAAAg4AEAAAwCEgAAACDgAQAADAI\nSAAAAIOABAAAMBw97wJgK914441VD6tOG7P+svrbuRUEAMC2IiCxo1x33XWdcsopTz7uuOP6\n4he/2BVXXPHG6lHzrgsAgO1BFzt2nKc85Sm98pWv7BGPeER5DwAAMMOXQwAAgEFAAgAAGAQk\nAACAwSANMDm++h/jcsnLqj+fSzUAAMyFgASTL6t++EEPelAnnHBCf/EXf9Gll1762QQkAIAd\nRRc7dqw9e/ZU3aw6o7pd1ZOe9KSe8pSndPvb336epQEAMCf2ILFjfeADH6h6QHXRnEsBAGCb\nsAeJHeuGG27o7LPP7pWvfGU/+ZM/Oe9yAOD/b+/ew+sq60SPf9OkSdP0iqWlCLSl0paCtRBA\nLlYugzKODIwOlOIDXgYrVo4eBESccab1GUfQOB51PNiZEe/O4TjOoA43EZE53tBykcqlYluE\nllKgpS1NkzRpkvPH+67und2VZO9c9kq6v5/n2c/KXpd3/dbab1fXb71rvUvSCGCCpIpWV1fH\nzJkzOeSQQ7IORZIkSSOACZIkSZIkRSZIkiRJkhSZIEmSJElSZIIkSZIkSZEJktS/E4DfE7oD\n3xD/XpxpRJIkSRoWvgdJ6t/c+vr6eStWrADg5ptvpq2tbS7w22zDkiRJ0lAzQZJS7NixA+DP\ngOnA0bW1tZx//vkAfOUrX6GtrS3D6CRJkjRcTJCkFNu2bWPWrFknzp49+8QNGzawe/furEOS\nJElSGfgMktSLJUuWsHLlSk477bSsQ5EkSVKZmCBJkiRJUmSCJEmSJEmRCZIkSZIkRSZIkiRJ\nkhSZIEmSJElSZIIkSZIkSZEJkiRJkiRFJkiSJEmSFJkgSZIkSVJkgiRJkiRJkQmSJEmSJEU1\nWQcgjXInAkvzvrcBnwLaswlHkiRJg2GCJA1MAzAVeMfUqVOvXbRoEXv37uWBBx4A+CawMdPo\nJEmSNCAmSFKJmpubAb6RfD/66KNZuXIlL774IsuWLcsuMEmSJA2azyBJJeru7uZ973sfq1ev\nZu7cuVmHI0mSpCFkgiQNwMyZM5k3bx719fVZhyJJkqQhZIIkSZIkSZEJkiRJkiRFJkiSJEmS\nFNmLnTREOjs7kz+vB3bGv78LPJxJQJIkSSqZCZI0RHbuDDnR8ccff2VdXR3r169n165dVZgg\nSZIkjRomSNIQu+GGGzj88MNZsWIFu3btOhO4KU56BvhyhqFJkiSpHyZI0jB54YUXmDFjxuuP\nOOKI1+/cuZMNGzbswgRJkiRpRLOTBmkYnX322TQ1NfHud78761AkSZJUBBMkSZIkSYpMkCRJ\nkiQpMkGSJEmSpMhOGqQyaGlpARhHrke7TuBLwPNZxSRJkqQDmSBJZfDss89SXV1dt3jx4o8C\nPPLII3R1dV0KvExInLYDv4qz7wE+DbRnEqwkSVIFM0GSyqSuro6mpiYAzj33XM4555w5c+fO\nnXPHHXewe/du5s2b98aOjg7Wrl0L8O/AuizjlSRJqkQmSFJGTj/9dM455xzWrFnDoYceSlNT\nEy+//DIXXXRR1qFJkiRVLDtpkCRJkqTIBEmSJEmSIhMkaQRpbW1N/nwS6I6fGzILSJIkqcKY\nIEkjyN69ewG4/vrraWpq4rjjjgOYnmlQkiRJFcQESRqBFi5cSGNjI1OmTMk6FEmSpIpiL3YV\nqr19/yt2Pkl4aenM7KKRJEmSRgYTpAr13HPPAXDCCSdcN2bMGB555JGMI5IkSZKy5y12Fe6m\nm26iqamJmhpz5VHoAXIdOXQD/5FtOJIkSaOfZ8XS6DEH+DJQHb+/btmyZTQ2NnLfffdx1113\nHZZhbJIkSQcFEyRp9FhQXV193tKlSwG49dZbmTVrFo2Njaxbty7j0CRJkg4OJkjSKFJTU8Py\n5csB+O53v5txNJIkSQcfEyTp4FMFrAAm5o27B7AnDkmSpH6YIEkHgVdeeQXg1cBHgXpg5cKF\nC6mvr2fjxo3s2LHjSOB/ZBmjJEnSaGAvdtIItnHjRoAPE3qpu7O3+Z5++mkaGhpmNTY23nT8\n8cevBLjmmmtoampi0aJF5QlWkiTpIGALkjSCtbe3s2TJEi644ALuvfde7r///l7nnT17Nk1N\nTWzZsoXLLrust9kmAleS6wmvG/g2sGUIw5YkSRq1TJCkEW769Ok0NjbyxBNPDGj5ePvdiYTb\n7+ZWVVUtP+aYY4DQ8tTR0bEduIVwa97CvEX3AY8OInRJkqRRxwRJOsht3ryZKVOmnDZ9+vTT\nduzYwfbt21m9ejUAl19+Oc8991xVnHU58IWCxRcBvytjuJIkSZnyGSSpApx11lmsXr2at73t\nbT3Gb9u2DeBfCbfafWH+/Pncd9993H777ckstXF4CqEFKvm8pxxxS5IklZstSFIF6+zs5OKL\nL+aUU07hq1/9Kl1dXQDs27cvmeXB5I/JkyczY8YMWltb2bRpUzfwDaCr7EFLkiQNI1uQpAp3\n1FFH0djYyOTJk/eP6+joAODqq6+mqamJqVOn8oY3vIHVq1cnL6qtIrxb6cfAj4CT4qIXEZ5d\n6o6fFuA15doWSZKkwarEBKkKmABMAxoyjkUa0RYsWEBjYyN1dXX7x7300ksALFu27E8uvfTS\ncydNmvRm4OQ4+dUzZ86sbmpq4sYbb4TQ8cO0OO0T5BKnbuA5cr3pSZIkjQiVcovdYcAK4M8I\nvXSNz5u2G1gL/AD4Z+CVskcnjULLly+nqqqKO++8E+BDwNuBo8aPH09jYyPt7e2Fixx10kkn\ncckll7Bu3TpuueWWwwmtUF3x83fAr8u4CZIkSQeohATpzcD3CO9/2QP8HngJ2AvUEZKnk4Ez\ngGuBPwfWZBKpNAq1tLRw0kknLTjmmGMW/OxnP0ubZQHQAbxq2rRpNDY2snXrVgCWLl16TnV1\nNXfddRc7d+68g5AgXQh8LW/5TmAJsC6l7NeS60jir+K6kueifg18fHBbJ0mSKs3BniBNAW4F\ndgKXAXcSno8oNA64GPgccBswn5BMSSrCGWecwYUXXsimTZt4/vnngdABRPS13pa74oorGDt2\nLHfffTfABwgXKI6YMWPG1Ouuu47u7m6uv/56gKuBp+NiPyF0HnE8ofV3v8WLF3Pssceyfv16\n1qxZM4/w7xnCv/u1hFv7+vIRwkWVxEPADf0s05dqQlfpye3MnTEOO7eQJGmEOtgTpLcCUwm3\n1j3Qx3xtwLeArYRbft5CaHWSNEBJj3if+cxnmD9/Pu9///t7nXfPnj2ceOKJ8+fPnz//F7/4\nBVVVVTQ2Nu5Pso488sgr6+vr2bx5My0tLc8DjwOTAG699Vbq6+tZunQpp556KkuXLqWpqQng\nKPJ64Yt/7wRmAYcD7YRnEuuAXxGSlpMWLVo05bjjjuPxxx9n7dq1ZwCNcflpwN2xjFpgMyHZ\nGQ/8bSyLWM6ngfsIrWH/UbC5H4zrWwq8j1zS1gFcQrjt96+Bc+K0MXGYbMurCEnithjTRHLJ\nYwPwX+QSsHWkX+w5Epge/66Ly70cv7cCyVuJDwHmxL+r4jIv5G3n70i/6DQvxpV4Km7XcKsl\nJM7Jb9HO4N/jNZdwsS2xgVAHCh0GvDrv+1bCc3YDVUNoIc1Prh+l/yS/UhwBzMj7vplc3dTw\nmkC4kJxoJtydo2wVHv8OIxyHEuuBXeUOarSqInew/QSwKrtQhsXHCNtV29+MUTXhP9S/AW4a\nxHrnEG7vKTYBrSGcTNQSTpKGy1dqamquqK+vp6Ojg7a2NiZODOcwu3fvpq6ujtraWlpbW+nq\n6qKhoWH/tPHjx1NdXc2ePXsYM2YM+WVMmDCBqqqqA8ro7OxkwoQJJZXR3NxMbW0ttbW1tLW1\nsW/fvh5l1NfXU1NT06OMffv20draSkNDA2PGjCm6jJaWFqqqqqivr6ezs5OWlpYeZYwdO5a6\nurrUMsaNG8fYsWOLLmPv3r10dHT0WgbA+PHj95eR7Kvm5mZqamoYN24c7e3ttLe3p5bR2tpK\nd3c348ePp6uriz179vRaxt69e/v93bu7u2lubk4to9i6U1hG2u8+kPqXJF6J3upfXlflJUnK\naGtr29+b3wC0Ei681JJtZzBJHNWERC5JUibTdyc9uwgJUAN9Hz/3EI6ZtcDY+L2KngkFMYbW\nlDgmEG537igoA0IC3BzjqCf8X9UW455A7nnR/DLq6PmMKXG+TsKdAvRSRkPcjo4YQ11cN3Fb\nkhMO4rpaUsqYSM9jfmfetElxu5I4quL+SIujg9w+Law7uwkJaV1ctjWWNTFO647bvy+WURPX\nl2zLxBh7ZyyjOn5PK6MzbmsNYf/vziujNS+OYspI+93bYhm1cR1pZdQTfv+0MibRs5OXjrzt\n7K3uDHf9GxvLSStjoPWvsIxi6k5aGaXWv77qTn3e9iR2Uln1r7CMYupOFse/fDcDV/UxXSEP\nWgkHf4J0FfAlwlWmF4uY/whgU1zu5kGsdwzwRopPkJIrs98ZxDqLMRM4Lm+dcwlXFCBs+3bC\ngWcccChhXxDn20ioK4cQtm9bShmvBnYQDjR1hP3+bF4ZTxP+sU8hHAheSinjcMLJ2Z5Yxkzg\nj3Ha0cAzhIPe5Dg9+V1fk1fGTMIBqDmu5/C4HITkdRPhoDY5bmty1fEYtYa4bwAAEw1JREFU\n4A/x78NiDLsJv+OR5K7S55cxkfCfytaUMmYQDmi7UsqYBWwhHNQmxHKeT9mW6YSD3y7CwXUW\n4bdIynie8B9RQ9yeLXllbCD8ZofG9ewk/HZz4jQIrSwvxHWMJ7S4PpdSxjTCb/cy4Tc7Oq+M\nIwm/ZRvhQP4qwtXcwjIOieOSMqx/1j/rn/XP+mf9A+vfcNc/CHdeJNupdKuICRLkutxdlVEw\nw2khYdu+Q/+tSA2Enuy6CLeHSJIkSaoMq4h50cH+DNIThJagDwBnEu7Nf5yQbbeTu8qyCLiA\nkKXfSLhfXpIkSVIFOphbkCA0R36I0CTb3cfnKeBdGcUoSZIkKTurqJAWJAgb+kXgnwi9eywk\n3Fc6jnDP5lZCL0dp71iRJEmSVEEqIUFKdBMSocF2+SpJkiTpINVXN6+SJEmSVFFMkCRJkiQp\nMkGSJEmSpMgESZIkSZIiEyRJkiRJikyQJEmSJCkyQZIkSZKkyARJkiRJkiITJEmSJEmKTJAk\nSZIkKTJBkiRJkqTIBEmSJEmSIhMkSZIkSYpMkCRJkiQpMkGSJEmSpMgESZIkSZKimqwDUMU7\nGfhN1kFIkqSyegqYn3UQUhoTJGVtbxyeA7ySZSBSP34BfAT4ZdaBSH34F+DBOJRGqg8Bh2cd\nhNQbEySNFI8CL2cdhNSHLmA98FDWgUh92A1swXqqkW0rMC3rIKTe+AySJEmSJEUmSJIkSZIU\nmSBJkiRJUmSCJEmSJEmRCZIkSZIkRSZIkiRJkhSZIEmSJElSZIIkSZIkSZEJkiRJkiRFJkjK\nWjvQDXRkHYjUj/b4kUYy66lGA+upRrzu+FmVcRyqXEdnHYBUhNl4UUkj32HA+KyDkPoxETg0\n6yCkAquIeVFNxoFIABuzDkAqwh+zDkAqwtasA5CKsDt+pBHJq6GSJEmSFJkgSZIkSVJkgiRJ\nkiRJkQmSJEmSJEUmSJIkSZIUmSBJkiRJUmSCJEmSJEmRCZIkSZIkRSZIkiRJkhSZIEmSJElS\nZIIkSZIkSZEJkiRJkiRFJkiSJEmSFJkgSZIkSVJUk3UAqnizgZnAduCpbEOReqgFTu9j+g7g\n0TLFIhWaAiwGNgEb+phvDLAAmAQ8C2wZ/tCk/aoJx9EW4KGU6dOBhX0s/zTwzDDEJfWrO35W\nZRyHKsti4GFy9a8bWA+cnWVQUp7X0LN+Fn7uzS40VbhzCIlRN/DZPua7hJAQ5dfb+4BZwx2g\nBMwBfk6odw/2Ms976fs4+/HhD1PabxWx7tmCpCzMBH5MaMH8IPAIMBf4B+AO4GTg8cyik4Ip\ncfgt4N9Spm8rYywSQB3hOHkN4Wr8EX3Mex6h3j4JfBjYDLwRWAncA7wOaBvOYFXR3gX8E6F1\nc18f8yXH2Y8Aj6VM984SZcYWJJXbPxLq3J8XjF8cx//fskckHehcQn28OutApOgvgT3AFcCp\n9N2C9BDQDBxWMP7quNyKYYpRehWhjn2RkNS30XsL0ifjvIvLE5rUp1XEvMhOGpSFtwHPA7cX\njP8tsAY4n/D8h5Sl5MrmzkyjkHKeBhqBW/qZ7yjgROC/gK0F074KdBKSLWk4tAMXAB8C9vYz\nr8dZjUjeYqdym0S4L/kOQpZe6EHCLXbzSG9ul8ol/z/uowi3JE0CniDcFiqV28NFzpdcjU97\nKP4Vwm1LXrHXcNlNSM6LkX+cfS1wLOHc4DfYOYMyZIKkckvume+tJ6Vk/JGYIClbk+PwOsLt\nTNV5035JeAB+c7mDkopQzHH2WKAeaC1LRFK65Dj7Q2BJ3vhuQmvnVfTfCiUNOW+xU7mNj8Pe\nHg5O/rNuKEMsUl+SK5vjgYuBo4FTgO8Quq29nZ5JkzRSeJzVaJEcZ7cSerGdDbyZ0Pp5BeGZ\nZansbEFSuSW92fRW95Lx7WWIRerLjcAXCLd+JPX2aeAywkPIfwq8hQOfpZOy5nFWo8X5hPq4\nPW/cM4TnkZ8EriR09e0zSiorW5BUbslBcGov0w+Jw5fLEIvUlxZCV95pXdR+Lw5PKF84UtGK\nOc62E3q5k7K0i57JUWIn4V1zNYRnk6SyMkFSuW0mdFM7v5fpx8bhk+UJRxqQjqwDkPrw+zhM\nO86OIXSC8xTQVbaIpNJ5nFVmTJBUbsmb3Bdx4EsOJwJnEe49TruiJJVTE3AXMC5l2ulxaCKv\nkehhQiv8W1KmLSE89/GjskYkHWgS4b2HX0yZNgZ4PeGcYV05g5ISvihW5fZmQp37IbmTz2pC\njzXdwOUZxSXl+yyhPt5Mz/dyXUi4srmF0AuYlIX+XhT7qTj9Y3njDiF0Ud8OzB3W6KScvl4U\n+yChJfOdeeOqydXf24Y3NKmHVeTyIhMkZeJzhHr3IvBTwq133cDXgarswpL2awB+RaiXLwD/\nDfwhfn+ZXCuSVC7/C3ggfh4j1MUteeN+mDdvPfDzOM8fgPsJ70DaB7y3bBGrEl1Ork4+QEiA\nmgvGJXeQLCCcB3QD6wnH2a3x+1pgejkDV8VbRcyL7MVOWbkGuAdYBswkJEn/iVeLNHLsAd5A\n6OL7XMJ/6I8RWjpvIfynLpVTB7muu9sIJ5P58t8X00roNvk9wJsItzB/i1B/014gKw2VTnp2\nMf//UuZJXhS/DjgG+CugkZAQ3Qf8BPg2vgNJGbIFSZIkSVIlW0XMi+ykQZIkSZIiEyRJkiRJ\nikyQJEmSJCkyQZIkSZKkyARJkiRJkiITJEmSJEmKTJAkSZIkKTJBkiRJkqTIBEmSJEmSIhMk\nSZIkSYpMkCRJkiQpMkGSJEmSpMgESZIkSZIiEyRJkiRJikyQJEmSJCkyQZIkSZKkyARJkiRJ\nkiITJEmSJEmKTJAkSZIkKTJBkiRJkqTIBEmSJEmSIhMkSZIkSYpMkCRJkiQpMkGSJEmSpMgE\nSZIkSZIiEyRJkiRJikyQJEmSJCkyQZIkSZKkyARJkiRJkiITJEmSJEmKTJAkSZIkKTJBkiRJ\nkqTIBEnSwe4s4FVZB5HnCKAb+HYR8y6I864e5vWMZh8nbOefZh1IPwbzW5biKEZenZekUcUE\nSdLB7qdAY9ZBDNCLwMeA27IORCV5B3Bzwbhy/ZZLGd11XpIyV5N1AJJUBruzDmCAXgZuyjoI\nlex84OiCceX6LZvjcLTWeUnKnAmSpEqQnCyOB04Bngaeid+PBdqA9cDeXpafBMwDquOyLw5B\nTN1xWB9j2JsSQxLvFuCpguUXxLieAnYC04GFwGPAthLXk68hll1D+rYW7sMFwKHAz/rY1v70\nt85EFWEbJgJ/ICQdhSYSWk82E7Yz3xxgFvAIsKtg2lTgGEJd2QC09xLDNOBIwn7dCLySsu7T\ngFbCrW47gEfp+7fsr36VUm+LTZBmxDJ68ztgez9lJMYSbu07lPCbbAT29TJvsfu51H3SWz0s\ntm5JUg/d8bMq4zgkaTh0A7Pj33Pi908BVxFO0lrjuO3AXxQsOwH4BtBB7ljZDdyXV2apkmeD\nvgZcRjiBTsrdVhBD2nMrrwWezFumFfhbYEX8/tYBrAdgHPC/CSfb+dt6b8G2JjH9PfCv8e/H\nStsFJa8T4Dh6bncH8HnCtuc/g3RS/P75lPV9Mk57Q964BuCbhBP6pOwXgfcULHtUjKsrb74u\nQv2YXLDuwm2B9N+y2PpVSr39C3rW+d5clhJr/uf8fpZPXAVsLVh2Cwfuv2L3c7H7pL96WErd\nkiQIuVByrDBBknRQO55ca3ly5f9x4CeEE08ILS8vEE48J+Qte1ec/ybC1ez5wEcIJ3nrCa0y\npUoSlzWEVpCLY4zvAvYQWiQa4ryFJ9W1hKvgncANcfq5wBOxvPxEoZT1AHyXcFL6cULLwlzg\nyjjfesIVe8idrP+E0BJzAXDqAPZDKescG7ehE7g2zncG4VmbDQXbXWqC9IM47rOElp9zgV8R\nkp/8xGMtobXjg4Rk7XXAp+nZEUY1MIXQsrMm/t3bbwnF169S6u0Eetb53kwAXlPwOYuQeG0D\nZvazPMCZMa57gNMJtxW+MX7vJvxGiWL3c7H7pL96WGzdkqTEKkyQJFWgJGloJtyOk+/zcdob\n4/fT4/fvpZTzD3HauwcRQzvhVqN8/xynLYnfC0+qL4jfv1Sw3JxYXlqCVMx6GsmdvBb6YJyW\nXOlPyu0k3K42UKWs862k9wBXT671YiAJ0snkWtnyHUY4If9x/D4B+BvgAyllPgm00LPTozbg\ngYL5Cn/LUupXKfV2oMYQEs5u4MIil0l6EDyrYPwUwr5+ffxe7H4eyD5Jq4el1C1JSqwi5kU+\ngySpEj0IvFQwbnMcJt0jnxuH/5my/A+BvyZcQf/6AGP4NaFVJF/yzMy0XpZJTjjvLhj/NOHW\nobcMcD3JcvuAZQXz1sbhEnqe4D5MePZjoEpZ52nx+z0F87UCPwLeOcAYzovD2wvGbyW0/CTP\n9jQTTtCrCMnmzLwY9xAStQn0fB6pPwOpX8XU24G6gZDofJnQ2lOMTXF4FeE5qx3x+05C8pQo\ndj8PZJ+k1cOB1GdJ2s8ESVIl2pIyLnmovDoOZ8fhxpR5kxOyIwcRw6aUcR0FMRQ6vI9lHyU9\nQSpmPUmPax/tZb0Qrvbn25w6V/FKWeer4/C5lHmeHYIY0ralsBOLi4HPkWu5SJ4BGhenl/ra\njNlxWEr9KqbeDsTJwCcIt2peWzDt7wnbnu89hNvj/g14O3ARodXp14TWoNsInTwkit3Ps+Ow\nlH2SVuZA6rMk7ed7kCRVoq4i5hkbh2m9bCUJRt0wx1AoufrdkTKtZRDrSbb1PEJrSNqn8Lar\nPUWUO1TrTOZN2+7OIYihtx7XEicDt8b1n034HRoIrUb39rFcMesupX4NpM70ZwIh0ekELiUk\nfvleIbT05H+SmDsIv9HZwFcIiewnCM9rfZ/c80LF7ueB7JO0ejiQ+ixJ+9mCJEnpki6k025d\nOiQOi+0GeagkXThPTJk2mCviSbfg0wjPz5RDKetMuqyenDKtt9sR00wo+N7Xb5zvUsIFxWuB\n+wex/mLXXc769SVCBw3/k5DYFGqKn77cT26/zCfX6nQDsJLi9/NQ7ZMs6rOkg4gtSJKU7qE4\nPCVl2slx+EiZYkkktx4tLBhfBbxpEOU+GIdpt+gdRng2ZKgvqJWyzuQZquNT5j2t4Htyy1ZD\n4Ywc+N6fh+MwrRe+fyHXGcbUOCy89WsOcELKssUYCfXrEkKvhncCXxzA8pMIyVW+3xO6EN9H\nrhe7YvfzUO2TLOqzpIOICZIkpfs+4aHzq+jZ5fEEwrMNHeS6dy6X5HauFfRMAK4h95zOQPyA\ncNX9YnInohBuVfoS4bmSEwdR/mDXeVccfoCerQtLgUUF5SbdoJ9KSBwTpwF/UjDv9wkdClxF\nz57Q/hJYTu4kOkmM8k/wpxLe6/Nk3vdEGwf2Nlco6/o1i9Cb4QsMvEe32wi99c0pGL+IsO+S\nZ6aK3c9DtU+yqM+SDjJ28y2pUiQP2KedZF0dp12UN+4CQovEdsLJ8NcJJ31dhCRluGNIe3fO\nv8dxG2NM/01oYUneyVPYzXex23oe4TmmNsKJ77eBP5J7GWcx8Zeq2HVCaGnoJpzQ/wD4GeEk\nuCmOz28t+GYcdzfhxPrLhIf8/5EDu8R+G+GZl2ZCIvbLOM/vySU9hxOexdkLfAf4FuF2sL8j\nJKfdcbl3xfmT7rJ/TngfD6T/lsXWr1J/y2J8Ky63NpZb+Hl7EWWcAuwiPLd0D2Hf/JiwTS8S\nbrdLFLOfYWj2CZRWtyQJ7OZbUoXaS0gonkyZtjlOy+9G+YfAa4H3Em7vqiKc8H4d+G0ZYmiJ\n35/Km+cdcdybCCeW9xKuin8wTk8ecC91W39EuAVtOeElqFOBO4D/QzjRLyb+UhW7ToD3E3pO\nO5/wks81wOWExONkwol6Iull7cz4eZxwu9ciwjty8h/svy2ue3mMZRPhPTxfJtdhwRbCrXQf\nJrxw9CXCbWR3ElryZhO6/046jLiC8B/tVHK3B6b9lsXWr1J/y2I8E5eDkGwUmlREGb8hxP/O\nOJxG6MTho8BX6dnteTH7GYZmn0BpdUuSDmALkiSNLmNTxn2DcCyfnzJNkiT1bRUxL/IZJEka\nPSYRrtA/RGhFSSwgPG+xgZ4tFJIkqUTeYidJg3MmPZ+h6Mtu4CeDWNcrwM2Ed808RXgOZyLh\nPTQAVxKufmWhnPtBkqRh5S12kjRwDxC6NC7m89gQrfNswrMbdwC3AzdxYHfL5ZbFfpAkaais\nwk4aJGlIpL3bZbj9NH5Gkiz2gyRJQ85nkCRJkiQpMkGSJEmSpMgESZIkSZIiEyRJkiRJikyQ\nJEmSJCkyQZIkSZKkyARJkiRJkiITJEmSJEmKTJAkSZIkKTJBkiRJkqTIBEmSJEmSIhMkSZIk\nSYpMkCRJkiQpMkGSJEmSpMgESZIkSZIiEyRJkiRJikyQJEmSJCkyQZIkSZKkyARJkiRJkiIT\nJEmSJEmKTJAkSZIkKTJBkiRJkqTIBEmSJEmSopq8v88APppVIJIkSZKUkTOSP6qA7gwDkSRJ\nkqQRw1vsJEmSJCn6/wS3HU2hcbheAAAAAElFTkSuQmCC",
      "text/plain": [
       "Plot with title “'no_higher_education' domain histogram”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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P9D47hKbzzI4673PP+l/c9xrdbS72j/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\nYidJkiRJyf8H+8lmoqLHzhcAAAAASUVORK5CYII=",
      "text/plain": [
       "Plot with title “'speak_english' domain histogram”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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CQgAQAAjAQkAACAkYAEAAAwEpAAAABG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\nkiRJmeEhdpIkSZIU/X8Wes2nvh62BQAAAABJRU5ErkJggg==",
      "text/plain": [
       "Plot with title “'no_internet' domain histogram”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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82uarhg54MbwtTdGg5OL6/+T/WGhp6C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",
      "text/plain": [
       "Plot with title “'new_residents' domain histogram”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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vB/qmH428fMavfa9j6Rel/9cvs2/O0v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\nQmCC",
      "text/plain": [
       "Plot with title “'foreign_nationals' domain histogram”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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DrWw52qa5uC0QnLGPv3TdPubrPOdQEA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\nAAAASUVORK5CYII=",
      "text/plain": [
       "Plot with title “'no_car' domain histogram”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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l7rAti0jqjOWOLcD1VfWcFaAABgUQQk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\n2TLvk7a+AAAAAElFTkSuQmCC",
      "text/plain": [
       "Plot with title “'rented' domain histogram”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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GBp/GZ1JvNIRskXMr7OLu1vKcAMzIk9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\nAElFTkSuQmCC",
      "text/plain": [
       "Plot with title “'journey_time' domain histogram”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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f5CL0/pB3VXreMDSU5oe82tpvMZme/t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",
      "text/plain": [
       "Plot with title “'not_volunteers' domain histogram”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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kj3rh5QnVLdqDqkuqI6v/pE9ZfVP06tOgAAYOq2Q0C6efVn1R0nxl1dXVUdXN2h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\nO0mSJEmK/j8rsLRDstQzXwAAAABJRU5ErkJggg==",
      "text/plain": [
       "Plot with title “'primary_school_age' domain histogram”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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rreAQAAm8hGH+b7EQ1d6p7Z3sNR1WerH2k4N+lRq1wXAACwDm30gHRMw/lFly+w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\nT0IJFTLMrIkAAAAASUVORK5CYII=",
      "text/plain": [
       "Plot with title “'one_person_households' domain histogram”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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Pw/+Rabg8G+DHvv3BxBgkPv+p1YNbkL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\nklQx7GInSZIkSdH/B3C426jWcmULAAAAAElFTkSuQmCC",
      "text/plain": [
       "Plot with title “'no_central_heating' domain histogram”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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ACAXWjRmzR8qjqr+q1G97pLW+5id1Oji92+6sHVAxqd7Z5UfWYexQIAAPO16AGp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\nAAAAAElFTkSuQmCC",
      "text/plain": [
       "Plot with title “'private_water_supply' domain histogram”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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LkRhq5sBJXX9aVt1teyTR3pOr5iPvfT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\n3S6x1QAAAABJRU5ErkJggg==",
      "text/plain": [
       "Plot with title “'year_built' domain histogram”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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BVSd+8pa1S3+v33Hrjpsht/8uVDBu3cpXu/fl//Qmu3W6fOHYPdqyq8du1bt0/f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\nAQKpkB48E0AEDwYhAYiKkACB/wd7NrPvj49nYgAAAABJRU5ErkJggg==",
      "text/plain": [
       "Plot with title “'mobile_home' domain histogram”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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zp7c+JPNP62nt7onWx22/1Uh/fYtV6b\nWd+b+Rw41nKd/Xtf+d6nzoxbPkpxWuOUruXhH5naPa8RBma7M7+2cb+h+x6jjs2s+6PZzHSP\n9t6NbjOXrRj3og7dAHsz63gz2/+xltF2rO9a/3YHW+28Dm1n//zkvPnVA8etH+zwO4cvP97V\nOM1gdtjsTuhm//mf0fjGcuV8lx9XNP6hrOaOjbujH+m9b+rwm69u9D1bsWwurx7V4TdLnP0n\nOfvN5cr3rrZc79rh/4RXPl7XDXd4f7BxHc/Ktu9v3MRwdthaOow4ls3M75Yrxl+1yu/zQyva\nrDw9Ztl6l9VuC0g1drJWW5Z/XT1+5vXKHcTTGqeMHul3X2r0Ovc1bd5m1vdGPwe2Y0d19sah\ns4+3NraT960Yft4x6jjeAtJGt5kXrtLujTPjN/NZv9Ht/1jLqLZ+fZeAxPyd17Sd6aQBNueX\nGqct/ZtGF6ufbxxJeWXjotzZezec1KF/RBfPjFuth6GrV7z38hXjv9i4Ud/XNnaivqLxT+nz\n1R9Xv9Hh9wqa9bHGBbTf2bh7/K0b/0Q/1tjpfdcWvWejy2bWjRoXNN+r0QPUXRrL6w+m6a9c\nLsdarh9s7Pg/tnHPkC9r7GD8TeP0lNVuQPhLjW5u/231Lxrf8r+rcWPIW6z4PQ50w/uFrNdm\n5ndR4945yxdgf7AbngL2thXTeHWrW++yOtqy345xdey/k19s3F/l+xrXgXyx8Y38yzr8yNrK\n+8tc2tjOHz79vENjB/jqxk7u7ze2+63oxXAz63ujnwPHWq5/3KH766zsTOAfZt77DzPDf75D\nO963apxq9qbGEcvrq0c3bqB6x8bpZm9p9JK5Xev+SDYz3aO9d6PbzI81dvgf0vgcvGhqt2wz\nn/Ub3f6PtYxq69d3bWy7g20zm+4B5m0t317CZv1wvpFm77L9ww2dlyNIANvitDbW89tFrX6z\nUDbmIY1rH27TuCbuno1vuWsciZntpvh/72RhsAMeku0fNkxAAthat6l+cgPv+93ql7e4lr3s\nwsZpScs37PyjxgXuS41eFZe7Ir6q+m87Xh1sL9s/bJJT7IDdxCl2bJVzGtf0HOkC9883uiWG\nRWT7h/U5L6fYAbvUWi4QhrV4S6NDkcc27s3yZY2e4C5qfKP+6kb3x7CIbP+wCY4gAQAAe9l5\nTbnoRsdoCAAAsGcISAAAABMBCQAAYCIgAQAATAQkAACAiYAEAAAwEZAAAAAmAhIAAMBEQAIA\nAJgISAAAABMBCQAAYCIgAQAATAQkAACAiYAEAAAwEZAAAAAmAhIAAMBEQAIAAJgISAAAABMB\nCQAAYCIgAQAATAQkAACAiYAEAAAwEZAAAAAmAhIAAMBEQAIAAJgISAAAABMBCQAAYCIgAQAA\nTAQkAACAiYAEAAAwEZAAAAAmAhIAAMBEQAIAAJgISAAAABMBCQAAYCIgAQAATAQkAACAiYAE\nAAAwEZAAAAAmAhIAAMBEQAIAAJgISAAAABMBCQAAYCIgAQAATAQkAACAiYAEAAAwEZAAAAAm\nAhIAAMBEQAIAAJgISAAAABMBCQAAYCIgAQAATAQkAACAiYAEAAAwEZAAAAAmAhIAAMBk/7wL\nYFc5u7p79fnqL+ZcCwAA7DgBiVnn7du37weXlpauqE6ZdzEAALDTnGLHrBNOP/30EpwBANij\nBCQAAICJgAQAADARkAAAACYCEgAAwERAAgAAmAhIAAAAEwEJAABgIiABAABMBCQAAICJgAQA\nADARkAAAACYCEgAAwERAAgAAmAhIAAAAEwEJAABgIiABAABMBCQAAICJgAQAADARkAAAACYC\nEgAAwERAYtmTqvvMuwgAAJin/fMugF3jv97oRje66byLAACAeXIEiX+2f7+8DADA3iYgAQAA\nTAQkAACAiYAEAAAwEZAAAAAmAhIAAMBEQAIAAJgISAAAABMBCQAAYCIgAQAATAQkAACAyf55\nF8Dc7au+sjph3oUAAMC87bWAdNPqLtWZ1cnVldVF1YerK+ZY1zw9uHrnvIsAAIDdYK8EpEdU\nz6we1OpHSq6t3lY9u3rPDta1G5x84okndt111827DgAAmLu9EJB+vHpOdXX1juoD1cXT65Oq\ns6t7VQ+rHl49qXrpXCqdk3379s27BAAA2BUWPSDdvvqZ6vzqe6vPHqPta6oXVW9pnHoHAADs\nIYvei91DG6fUPbGjh6OqT1RPaFybdM421wUAAOxCix6Qbt64vuiTa2z/kepgdda2VQQAAOxa\nix6QLqpOrO62xvb3biyTT21bRQAAwK616AHpLY2uvF9Z3fUYbe9Xvaq6tHrTNtcFAADsQove\nScNnqqdUv9Love7DHerF7ppGL3ZnVfeo7tDo2e7c6nPzKBYAAJivRQ9IVS+r3l89rdGV96NX\nafPpRoh6bnXhjlUGAADsKnshIFX9efW46flZ1ZmN3uquaoSji+dUFwAAsIvslYC07KbV7ToU\nkK5sdOJweXXFHOsCAAB2gb0SkB5RPbN6UOO+SCtdW72tenb1nh2sCwAA2EX2QkD68eo5jQ4Y\n3tGhThqubnTScHZ1r8b1SQ+vnlS9dC6VAgAAc7XoAen21c9U51ffW332GG1fU72o0T34Rdte\nHQAAsKss+n2QHto4pe6JHT0cVX2iekLj2qRztrkuAABgF1r0gHTzxvVFn1xj+49UBxs93QEA\nAHvMogekixq91N1tje3v3Vgmn9q2igAAgF1r0QPSWxpdeb+yuusx2t6velV1afWmba4LAADY\nhRa9k4bPVE+pfqXRe92HO9SL3TWNXuzOqu5R3aHRs9251efmUSwAADBfix6Qql5Wvb96WqMr\n70ev0ubTjRD13OrCHasMAADYVfZCQKr68+px0/OzqjMbvdVd1QhHF2/x/M6sfr7Vb0q7mpOq\nO1V3r5a2uBYAAGCN9kpAmvWZ6bGafdXtqi9Oj426svpYa1++t2pcI3Vi49Q/AABgTpamx3lz\nrmO73Lh6dnVB415Hr24cqVnNyc1nWTxwmu+BHZ5v1cMPHDiwtG/fvqUDBw4snX766UvVddXP\nprtzAAD2hvOactGi92JX9evVf2qEoptX3139WeOmsKxw/fXXt2/fvhP279//E9X9510PAADs\npEUPSPesvqv6vcZ1Qac3TmX7y+rl1ffOr7Td64QTTujkk0+uccohAADsGYsekL56+vmUDnXE\n8KHq6xr3SHpZ9bU7XxYAALAbLXpA+tLGuYR/u2L41Y1T7T5U/XbjHkgAAMAet+gB6W8bp4nd\nY5Vxl1WPqg42jiadvYN1AQAAu9CiB6T/XV1R/XJ1+1XGf7L61saRpj+s7rtjlQEAALvOogek\nT1f/uXEt0serB6zS5k+rBze6+H7XzpUGAADsNosekKqe1+jJ7h3V54/Q5oJGj3e/Vl2/Q3UB\nAAC7zP55F7BDfmt6HM3nqu+bHgAAwB60F44grce+6k6NG8oCAAB7jIB0uJOqj1Y/PO9CAACA\nnScgAQAATAQkAACAyaJ30vAD02Ot9m1XIQAAwO636AHprMY9kK6pluZcCwAAsMst+il2v1p9\nYfp58hoeZ8ynzN3nmmuuqXpG9eg5lwIAADtm0QPSp6ofrH6o+o4513JcufbaazvppJMeWH3n\nvGsBAICdsugBqeq11csbR5FuM+dajis3vvGN510CAADsqEW/BmnZ9zdOn7vsGO2urX6ieve2\nVwQAAOw6eyUgXVd9bg3trq/+yzbXAgAA7FJ74RQ7AACANRGQAAAAJgISAADAREACAACYCEgA\nAAATAQkAAGAiIAEAAEwEJAAAgImABAAAMBGQAAAAJgISAADAREACAACYCEgAAAATAQkAAGAi\nIAEAAEwEJAAAgImABAAAMBGQAAAAJgISAADAREACAACYCEgAAAATAQkAAGAiIHFES0tLVadW\nXzrnUgAAYEcISBzRVVddVfWo6v/MuRQAANgRAhJHtLS01E1vetOqm8y7FgAA2AkCEkd1oxvZ\nRAAA2Dvs/QIAAEwEJAAAgImABAAAMBGQAAAAJgISAADAREACAACYCEgAAAATAQkAAGAiIAEA\nAEwEJAAAgImABAAAMBGQAAAAJgISAADAREACAACYCEgAAAATAQkAAGCyf94F7LCbVnepzqxO\nrq6sLqo+XF0xx7oAAIBdYK8EpEdUz6weVJ2wyvhrq7dVz67es4N1AQAAu8heCEg/Xj2nurp6\nR/WB6uLp9UnV2dW9qodVD6+eVL10LpXuvDOqL593EQAAsJssTY/z5lzHdrh9dV0jGJ25hrbv\na5x2d8ttrmulBzbWwYEdnu8vVEsHDhxY2rdv39KBAweWTj311KX9+/f/8+szzjhjqXGEDQAA\nFtV5Tblo0TtpeGjjlLonVp89RttPVE9oXJt0zjbXtVscOOWUU+ZdAwAA7BqLHpBu3jj68ck1\ntv9IdbA6a9sqAgAAdq1FD0gXVSdWd1tj+3s3lsmntq0iAABg11r0gPSWxjVFr6zueoy296te\nVV1avWmb6wIAAHahRe/F7jPVU6pfafRe9+EO9WJ3TaMXu7Oqe1R3aPRsd271uXkUCwAAzNei\nB6Sql1Xvr57W6Mr70au0+XQjRD23unDHKgMAAHaVvRCQqv68etz0/KxGl98nV1c1wtHFc6oL\nAADYRfZKQFp20+p2HQpIVzY6cbi8umKOdQEAALvAXglIj6ieWT2ocV+kla6t3lY9u3rPDtYF\nAADsInshIP149ZxGBwzv6FAnDVc3Omk4u7pX4/qkh1dPql46l0oBAIC5WvSAdPvqZ6rzq++t\nPnuMtq+pXtToHvyiba8OAADYVRb9PkgPbZxS98SOHo6qPlE9oXFt0jnbXBcAALALLXpAunnj\n+qJPrrH9R6qDjZ7uAACAPWbRA9JFjV7q7rbG9vduLJNPbVtFAADArrXoAektja68X1nd9Rht\n71e9qrq0etM21wUAAOxCi95Jw2eqp1S/0ui97sMd6sXumkYvdmdV96ju0OjZ7tzqc/MoFgAA\nmK9FD0hVL6veXz2t0ZX3o1dp8+lGiHpudeGOVQYAAOwqeyEgVf159bjp+VnVmY3e6q5qhKOL\nt3h+ZzfupXTiGtufPv3ct8V1AAAA67BXAtKym1a361BAurIRYi6vrtjC+Vxa/XF14zW2v1V1\nn2ppC2sAAADWaa8EpEdUz6we1Lgv0krXVm+rnl29Zwvmd3n1rHW0f2D1+C2YLwAAsAl7ISD9\nePWcRgcM7+hQJw1XNzppOLu6V+P6pIdXT2qcHgcAAOwxix6Qbl/9THV+9b3VZ4/R9jXVixrd\ng1+07dUBAAC7yqLfB+mhjVPqntjRw1HVJ6onNK5NOmeb6wIAAHahRQ9IN29cX/TJNbb/SHWw\n0dMdAACwxyx6QLqo0Uvd3dbY/t6NZfKpbasIAADYtRY9IL2l0ZX3K6u7HqPt/apXNbroftM2\n1wUAAOxCi95Jw2eqp1S/0ui97sMd6sXumkYvdmdV96ju0OjZ7tzqc/MoFgAAmK9FD0hVL6ve\nXz2t0ZX3o1dp8+lGiHpudeGOVQYAAOwqeyEgVf159bjp+VnVmY3e6q5qhKOL51QXAACwi+yV\ngDTrM9NjNfuqO1ZfmB4AAMAesuidNKzXSdVHqx+edyEAAMDOE5AAAAAmAhIAAMBk0a9B+oHp\nsVb7tqsQAABg91v0gHRW9dWNex4tzbkWAABgl1v0U+x+tdEb3a82uvU+1uOM+ZQJAADsBose\nkD5V/WD1Q9V3zLkWAABgl1v0gFT12urljaNIt5lzLQAAwC626NcgLfv+xulzlx2j3bXVT1Tv\n3vaKAACAXWevBKTrqs+tod311X/Z5loAAIBdai+cYgcAALAmAhIAAMBEQAIAAJgISAAAABMB\nCQAAYCIgAQAATAQkAACAiYAEAAAwEZAAAAAmAhIAAMBEQAIAAJgISAAAABMBCQAAYCIgAQAA\nTAQkAACAiYAEAAAwEZAAAAAmAhIAAMBEQAIAAJgISAAAABMBiaM6ePBg1QnVW6t/Od9qAABg\newlIHNXBgwfbt2/fvpNOOumbE5AAAFhwAhLHdKMb3agDBw7MuwwAANh2AhIAAMBEQAIAAJgI\nSAAAABMBCQAAYCIgAQAATAQkAACAiYAEAAAwEZAAAAAmAhIAAMBEQAIAAJgISLYfmwgAACAA\nSURBVAAAABMBCQAAYCIgAQAATPbPuwDm5q3V/eddBAAA7CYC0t71gP3795867yIAAGA3cYrd\nHnajG1n9AAAwyx4yAADAREACAACYCEgAAAATAQkAAGAiIAEAAEwEJAAAgImABAAAMBGQAAAA\nJvvnXcAc7KtOqU6urqwun285AADAbrFXjiCdXT2rel91WXVpdfH0/JLq3dUzqpvOq0AAAGD+\n9sIRpIdWr61Oaxwt+kgjHF1dndQIT/epHlQ9rXpkI0gBAAB7zKIHpDOqV1dfrB5fvbm6bpV2\nJ1ePqZ5Xva66c069AwCAPWfRT7F7RHWz6rHV61s9HFVdVb2iOre6VXXOjlQHAADsKosekG5b\nXVu9d43tz68OVnfatooAAIBda9ED0iXVidWZa2x/y8YyuWTbKgIAAHatRQ9I75x+Pr86cIy2\np1Qvqpaqt29nUQAAwO606J00fLB6cfWU6sHVG6oPNHqxu6bRi91Z1T2qR1W3qJ5TXTiPYgEA\ngPla9IBU9dRG197PqJ58lHYfrZ5evXwnijreHDx4sOqO1ZdUn59vNQAAsD32QkBaql5QvbC6\ne3XXxjVJJzd6r/t0dUH14XkVeDy44oorqn6ucbTtCfOtBgAAtsdeCEjLlhpB6K8b1xudXF2Z\n+x2t2RlnnNEXv/jFE+ddBwAAbJdF76Rh2dnVs6r3VZdVlzauQ7qs0WPduxun4N10XgUCAADz\ntxeOID20em11WuNo0Uca4ejqRicNZ1f3qR5UPa16ZCNIAQAAe8yiB6QzqldXX6weX725um6V\ndidXj6meV72uunNOvQMAgD1n0U+xe0R1s+qx1etbPRzV6KzhFdW51a2qc3akOgAAYFdZ9CNI\nt62urd67xvbnVwerO21yvl9W/WbjFL61OHX6uW+T8wUAADZh0QPSJdWJjW69P7uG9rdsHFW7\nZJPz/cfGdU8H1tj+do3T+pY2OV8AAGATFj0gvXP6+fzqidU1R2l7SvWiRkh5+ybne+U0z7V6\nYPVDm5wnAACwSYsekD5Yvbh6SvXg6g3VBxq92F3TOAXurMbNTx9V3aJ6TnXhPIoFAADma9ED\nUtVTG117P6N68lHafbR6evXynSgKAADYffZCQFqqXlC9sLp7ddfGNUknN3qv+3R1QfXheRUI\nAADsDnshIC1bagShC+ZdCAAAsDst+n2Qlj2qeknjSNLXzwz/gepDjSNJn6jOa2+FRgAAYMZe\nCAP/ufrpmdf/vvqRRlfev1RdUX2qunX1U40ut5+4wzUCAAC7wKIfQTq7+onGDWC/oXpA41qk\nZ1X/ofqF6vTqDtWXVL9R/ZvqK+ZQKwAAMGeLfgTpIdUJ1WOrz0/D3ls9qLpjIyRdNw2/tNHL\n3WMbXYLr6hsAAPaYRQ9It63+vkPhaNlfVvsa1x7NuqRxut2Z218aAACw2yz6KXZfrG62yvAz\nq5uvMnxf41S7y7ezKAAAYHda9ID0V42A9P0zwx5QPWwafs6K9o+vbjK9DwAA2GMW/RS7P67e\nWf1y9aPV1dU9pmF/Vf1O9fLqb6q7Vd/TuGHsu+ZQKwAAMGeLHpCqzq1+pXG06NpGKHpydWV1\nr+pJM20/Xj26OrjDNQIAALvAXghIn66+tTqxur7Dw883V19T3an6TPXuRogCAAD2oL0QkJYd\nKfj86fQAAAD2uEXvpAEAAGDNBCQAAICJgAQAADARkAAAACYCEgAAwERAAgAAmAhIAAAAEwEJ\nAABgIiABAABMBCQAAICJgAQAADARkAAAACYCEgAAwERAAgAAmKwnIP1f1S+uYXqfrB6x4YoA\nAADmZD0B6Q7V/Y/R5ibVmdWdN1wRAADAnOxfQ5v3Tj9vXd1s5vVK+6rbVydVX9h8aQAAADtr\nLQHpzdV9qi+vblzd6yhtL6leUb1q86Wx21x11VVV3109oLrdfKsBAICtt5aA9NPTz/Oqb+/o\nAYkFtrS01Kmnntpll112m3nXAgAA22EtAWnZS6rXbFchHB/271/PJgMAAMeX9eztfmp6nF3d\nozqtcd3Raj44PQAAAI4b6z0c8HPV0zp273fPapySBwAAcNxYT0C6b/WM6oLqDdXnq4NHaHuk\nnu4AAAB2rfUGpL9r9Gh39faUAwAAMD/ruVHsydUHEo4AAIAFtZ6A9GfVXTpyxwwAAADHtfUE\npP/dCEnPrU7almoAAADmaD3XIH1d9TfV91ePr/6y+twR2v729AAAADhurCcgfX2ji++q06uH\nHaXt/0lAAgAAjjPrCUgvrH6tun4NbS/ZWDkAAADzs56A9PnpAQAAsJDWE5BuOz2O5YTq76uP\nbagiAACAOVlPQPq+6qfW2PZZ1XnrrgYAAGCO1hOQfr969hHGfWl13+r21c9U79hkXQAAADtu\nPQHp/OlxND9SPbp6/oYrAgAAmJP13Ch2LX6+cTTpm7d4ugAAANtuqwNS1d9W99iG6QIAAGyr\nrQ5IZ1RfVf3TFk8XAABg263nGqSHT4/V7KtuXn1T9SXVuzdZFwAAwI5bT0C6f6MThqO5pPqx\n6gMbrggAAGBO1hOQXlK98QjjlqrLqo9X1262KAAAgHlYT0D61PQAAABYSOsJSMvOrh7fuDHs\nmdOwi6o/rF5ZfXFrSgMAANhZ6w1Ij6h+ozptlXHfU/1k9W3VH2+yLgAAgB23nm6+T28cIbq8\nemr1ldVZ0+Oe1dOqE6rXVidvbZkAAADbbz1HkB7WuM/R11R/tmLcZ6v3V79fva96aPX6rSgQ\nAABgp6znCNIdGtcarQxHs/60+mR1l80UBQAAMA/rCUjXVzdZ4zQPbqwcAACA+VlPQPpA4zqk\n7zxKm4dVt86NYgEAgOPQeq5Belv1sUZHDS+pzm/cF2lf9WXVN1XfX11YvX1rywQAANh+6wlI\n11aPqn6n+pHpsdKHqm+f2gIAABxX1nsfpA9Wd6u+pXpgdctqqdF5wx9Uv1ddt5UFAgAA7JT1\nBKR9jTB0bfW702PZgUYwOh46Z9hXndK4V9OVjfs6AQAArLmThvs27m/0pUcY/6PVu6o7bkVR\n2+Ds6lmN3+Gy6tLq4un5JdW7q2dUN51XgQAAwPyt5QjSPRsdMpxSfW31ulXanFE9aGp3n8aN\nY3eLh1avrU5rHC36SCMcXV2d1AhP92nU/7TqkY0gBQAA7EFL0+O8I4z/08Y9kL77GNN5XOMU\nu9/csso274zqC42b1z6qIwfCk6snNILT3zfC4E56YGMdHNjBeV564MCBpVNOOWXpwIEDS/v2\n7Vs6cODA0qmnnrq0f//+w16fcMIJS/v27Vs66aSTls4444yljo9TKQEAYK3Oa8pFxzrF7iur\nr65eVP3PY7T9H9XLqu+obrO5+rbMI6qbVY+tXt+RO5C4qnpFdW51q+qcHakOAADYVY4VkL5q\n+vnKNU7vpdUJjSMiu8FtG51KvHeN7c9vHB2507ZVBAAA7FrHCki3nH5+fI3T+9j087YbK2fL\nXVKdWJ25xva3bCyTS7atIgAAYNc6VkBavuHrSWuc3vK1O1dsrJwt987p5/M79vU9pzROJVyq\n3r6dRQEAALvTsXqx+8T08/7Vb61heg+Zfv7tRgvaYh+sXlw9pXpw9YbqA43OGK5pBL+zqns0\nOnG4RfWc6sJ5FAsAAMzf0Xqxu1mjA4M/aZyqdjSnN06x+2J14y2sb7P2VT9c/V2HftfVHhdW\n/3pONerFDgAA5ue8plxwrCNI/1j9UiNg/Gb1b6vPr9LuTtWrqjtUz66u3KpKt8BS9YLqhdXd\nq7s2rkk6uRH+Pl1dUH14XgUCAAC7w1puFPvj1ddU31Z9U/XG6i+ry6qbV/erHtbove5tHfl+\nSvO21AhCf9243ujkRpC7fJ5FHW+uv/76Gkflrq2+sfr9uRYEAABbaC0B6crqG6qfblzL893d\n8KaxFzc6Qvi5xk1ld5uzqx+qvqVxBOkmM+Murd5f/W7jaJke7I5iaWmpffv2dZOb3GT/5Zdf\nfta86wEAgK20loBUdXX1Hxsh6UHVlzeOwlzc6AL83e3OYFT10Oq11WmNo0UfadR9daOThrOr\n+zR+r6dVj6zeN5dKjyMnnnisS9IAAOD4s9aAtOzy6q3T43hwRvXqRscRj6/eXF23SruTq8dU\nz6teV905p94BAMCec6z7IB3vHtHoie+x1etbPRzV6KzhFdW51a2qc3akOgAAYFdZ7xGk481t\nG50JvHeN7c9vdGF9p03O99aN+0adsMb2p04/921yvgAAwCYsekC6pHH/pjOrz66h/S0bR9U2\n21HDxY0OH9a6fO9YPbPR0x4AADAnix6Q3jn9fH71xOqao7Q9pXpRI6S8fZPzvbp66TraP7AR\nkAAAgDla9ID0werFje7JH1y9ofpA4wjPNY1e7M6q7lE9qrpF9ZzqwnkUCwAAzNeiB6Sqpza6\n9n5G9eSjtPto9fTq5TtRFAAAsPvshYC0VL2gemF198aNYs9sdO19VfXp6oLqw/MqEAAA2B32\nQkBattQIQhfMuxAAAGB3WvT7IC37huorZ16fWP1E9aFGhwqXVL9fPXrnSwMAAHaLvRCQfrp6\nR/XQ6fW+6neqn210r/231Rerr61eW/3kHGoEAAB2gUUPSF9R/d/V71WvnoZ9y/T47cZ9j76i\ncUPZu1V/Wf1U9S92ulAAAGD+Fj0gfX3jd/y+6h+mYV9XXV796+rzM20/NA3b36GjTQAAwB6y\n6AHpZtV11admhu2vPl5dtkr7C6rrqy/Z/tIAAIDdZtED0scagejrZob9RXXrVu/B7x7VCR06\n2gQAAOwhix6Q3tQIO69q9GRXoyOGv2t03rBvpu29q9+oLq3evIM1AgAAu8Si3wfpiuo7qzc2\nerL7aPUn1fuqZ1TfMw27deMGstdW51afm0exAADAfC16QKoRiO5S/Vj1mOpxM+NuPz0uaRw9\n+tnqr3e6QAAAYHfYCwGp6gvVf54ep1W3q05tdODwuca9kJbmVh0AALAr7JWANOvSHCUCAABW\nseidNAAAAKyZgAQAADARkAAAACYCEgAAwERAAgAAmAhIAAAAEwEJAABgIiABAABMBCQAAICJ\ngAQAADARkAAAACYCEgAAwERAAgAAmAhIAAAAEwFpb/oXWfcAAHADdpL3nq+vPlHdZN6FAADA\nbiMg7T03Pumkk+ZdAwAA7EoCEgAAwERAAgAAmAhIAAAAEwEJAABgIiABAABMBCQAAICJgAQA\nADARkNiQK6+8suo/V0+ccykAALBlBCQ25Jprrumkk076yuqcedcCAABbRUBiw2584xvPuwQA\nANhSAhIAAMBEQAIAAJgISAAAABMBCQAAYCIgAQAATAQkAACAiYAEAAAwEZAAAAAmAhIAAMBE\nQAIAAJgISAAAABMBCQAAYCIgAQAATAQkAACAiYDEhl199dVV31Z9eM6lAADAlhCQ2LCDBw92\nyimnHKjuXO2bdz0AALBZAhKbcuKJJ867BAAA2DICEgAAwERAAgAAmAhIAAAAEwEJAABgIiAB\nAABMBCQAAICJgAQAADARkAAAACb7513AHOyrTqlOrq6sLp9vOQAAwG6xV44gnV09q3pfdVl1\naXXx9PyS6t3VM6qbzqvABWDZAQBw3NsLR5AeWr22Oq1xtOgjjXB0dXVSIzzdp3pQ9bTqkY0g\nxRpcf/31y0+/WD2seuv8qgEAgM1Z9IB0RvXqxs7746s3V9et0u7k6jHV86rXVXfOqXdrsrS0\nVNVpp53WpZdeerM5lwMAAJuy6KfYPaK6WfXY6vWtHo6qrqpeUZ1b3ao6Z0eqWyAnnHDCvEsA\nAIBNW/SAdNvq2uq9a2x/fnWwutO2VQQAAOxaix6QLqlOrM5cY/tbNpbJJdtWEQAAsGstekB6\n5/Tz+dWBY7Q9pXpRtVS9fTuLAgAAdqdF76Thg9WLq6dUD67eUH2g0YvdNY1e7M6q7lE9qrpF\n9ZzqwnkUCwAAzNeiB6Sqpza69n5G9eSjtPto9fTq5TtRFAAAsPvshYC0VL2gemF19+qujWuS\nTm70Xvfp6oLqw/MqEAAA2B32QkBattQIQn/duN7o5OrK3O8IAACYLHonDcvOrp5Vva+6rLq0\ncR3SZY0e697dOAXvpvMqEAAAmL+9cATpodVrq9MaR4s+0ghHVzc6aTi7uk/1oOpp1SMbQQoA\nANhjFj0gnVG9uvpi9fjqzdV1q7Q7uXpM9bzqddWdc+odAADsOYt+it0jqptVj61e3+rhqEZn\nDa+ozq1uVZ2zI9UBAAC7yqIfQbptdW313jW2P786WN1pC+b71urENbY/efq5b5PzBQAANmHR\nA9IljZByZvXZNbS/ZeOo2iWbnO9F1c92KPgcyx2rZzZ62gMAAOZk0QPSO6efz6+eWF1zlLan\nVC9qhJS3b3K+11a/vo72D2wEJAAAYI4WPSB9sHpx9ZTqwdUbqg80erG7ptGL3VnVPapHVbeo\nnlNdOI9iAQCA+Vr0gFT11EbX3s+onnyUdh+tnl69fCeKAgAAdp+9EJCWqhdUL6zuXt21cU3S\nyY3e6z5dXVB9eF4FAgAAu8NeCEjLlhpB6IJVxt2tekD1RztaEQAAsKss+n2Q1urHGkeY2KBL\nL720xk15LUcAAI5bi34E6R7T41juWN28evz0+v3TgzU6ePBgp556apdddtkt510LAABs1KIH\npO+sfmod7V8x/XxWAtK67d+/6JsTAACLbtH3aN9fXd24/ugXq3cdod2/q27f6MWudNgAAAB7\n0qIHpN+u7lm9pPrRxn2Ofqz63Ip231rdrPqdHa0OAADYVfZCJw0fqR5S/UAjCH2oesI8CwIA\nAHanvRCQapxi98uNeyC9q/r16q2N0+oAAACqvROQll1UfVf17Y2w9NeNU+72zbMoAABgd9hr\nAWnZ7zYC0suq/5ZT7gAAgPZuQKq6pNF73ddW764+ON9yAACAeVv0XuzW4j3VN8y7CAAAYP72\n8hEkAACAwwhIAAAAEwEJAABgIiABAABMBCQAAICJgAQAADARkAAAACYCEgAAwERAAgAAmAhI\nAAAAEwEJAABgIiABAABMBCQAAICJgAQAADARkAAAACYCElvm4MGDVbeuvmHOpQAAwIYISGyZ\nq6++un379t2velu2LQAAjkN2YtlSp59+eo3t6l7VCfOtBgAA1kdAYktdf/31y0//rPq2OZYC\nAADrJiCxpZaWlqp/PpJ00lyLAQCAdRKQ2Bb79u2bdwkAALBuAhIAAMBEQAIAAJgISAAAABMB\nCQAAYCIgAQAATAQkAACAiYAEAAAwEZAAAAAmAhIAAMBEQAIAAJgISAAAABMBCQAAYCIgAQAA\nTAQkAACAiYAEAAAwEZAAAAAmAhIAAMBEQAIAAJgISAAAABMBCQAAYCIgAQAATAQkAACAiYAE\nAAAwEZAAAAAmAhLA/9/evcdJUpUHH//1dM/0zM7ussiyuyy4CCKXFREhIIjBTRQMIBryIjHe\nMOYNUaO+5jW+xsQkay6ai5eoiW8wEjSoYKJR8RYUJSrxEiCi3EERIgKKwLI7u0vPrfPHc2qn\nprdnpnt2Z6qn+/f9fPrTU1Wnq5+qPl1TT59TpyRJkhITJC2IHTt2ALwbuAf4ElAqNCBJkiSp\nBZWiA1B3Gh8fp1Kp7D8wMMCOHTsOJOraWNFxSZIkSbOxBUkLplwuMzAwUHQYkiRJUstMkCRJ\nkiQpMUGSJEmSpMQESZIkSZKSXhykoQQMA4PATmB7seFIkiRJ6hS90oK0DngLcA0wAmwDHkh/\nbwWuBt4ArCwqQEmSJEnF64UWpNOBjwMriNai24jkqAZUieTpBOAU4PXA2UQiJUmSJKnHdHuC\ntAq4DNgCvBj4PDDepNwg8HzgncAngSOw650kSZLUc7q9i91ZwL7AecDlNE+OAB4FLgFeCBwI\nnLEo0UmSJEnqKN2eIG0AxoBvtVj+K8AkcNiCRdS7jqP7WywlSZK0xHV7grQV6AfWtFj+AGKf\nbF2wiHrMxMRE9ue3gHMKDEWSJEmaU7cnSFel53cBA3OUHQb+DqgDVy5kUL2kXq8DsGrVKpj7\nM5AkSZIK1e1dnm4G3ge8CngG8BngJmIUu1FiFLu1wDHAc4HVwNuA24sIVpIkSVKxuj1BAng1\nMbT3G4BXzFLuDuB3gQ8tRlCSJEmSOk8vJEh14D3Ae4GjgY3ENUmDxOh19wM3ALcWFaAkSZKk\nztALCVKmTiRCNxLXGw0CO/F+R5IkSZKSbh+kIbMOeAtwDTACbCOuQxohRqy7muiCt7KoACVJ\nkiQVrxdakE4HPg6sIFqLbiOSoxoxSMM64ATgFOD1wNlEIiVJkiSpx3R7grQKuAzYArwY+Dww\n3qTcIPB84J3AJ4EjsOudJEmS1HO6vYvdWcC+wHnA5TRPjiAGa7gEeCFwIHDGokQnSZIkqaN0\newvSBmAM+FaL5b8CTAKH7eH7Hgx8k2iZakX2OZT28H0lSZIk7YFuT5C2Av3EsN4/baH8AUSr\n2tY9fN97gFcCAy2WPwL4U2KkPUmSJEkF6fYE6ar0/C7g14HRWcoOA39HJClX7uH7TgCfbqP8\n04gESZIkSVKBuj1Buhl4H/Aq4BnAZ4CbiFHsRolR7NYCxwDPBVYDbwNuLyJYSZIkScXq9gQJ\n4NXE0N5vAF4xS7k7gN8FPrQYQUmSJEnqPL2QINWB9wDvBY4GNhLXJA0So9fdD9wA3FpUgD3k\nBOBlwMPAr+I1V5IkSeowvZAgZepEInRD0YH0sMOHhoaetXPnToCXEDfrlSRJkjpGt98HKXMa\n0YJ0MdHNbqbht6vAXcDrFies3lOtVosOQZIkSZpRL7QgvZnpI8S9jLge6ZfZvTWpRNzDaNWi\nRCZJkiSpo3R7C9JBRIJ0J/B84DhiRLt9ga8CTyouNEmSJEmdpttbkH6e6Db3YuCbad53gCvS\n4wvAU4EfFxKdJEmSpI7S7S1IjyUGZ7imYf6dwFnAEHFD12WLHJckSZKkDtTtCdLPiOuKDmiy\n7HbgXOImsZfS/a1pkiRJkubQ7QnSt4kWpLcC5SbLryJGtTsb+ASwcvFC6y31eh1sqZMkSVKH\n6/YE6SbgI8Q1SLcBT2xS5h+B84Ez8R5JC2bbtm0Azyg6DkmSJGk23Z4gAbycuAfSWpq3IgFc\nAvwi8MhiBdWLvAeSJEmSOl0vXHczBryWuPfR5Czlvg5sBE4C7lmEuCRJkiR1mF5IkDK1FsqM\nA1cvdCCSJEmSOlMvdLGTJEmSpJaYIEmSJElSYoIkSZIkSYkJkiRJkiQlJkiSJEmSlJggaVHV\n6/Xsz8tpfuNeSZIkqTAmSFpUExMTAFSr1dOB44qNRpIkSZrOBEmFGBoaKjoESZIkaTe9dKNY\nwXnAa4oOQpIkSepUtiD1ljP6+/ufXnQQkiRJUqcyQeoxAwMDRYcgSZIkdSwTJBVicnISYhS7\n9QWHIkmSJO1igqRCjIyMALwR+NuCQ5EkSZJ2MUFSYdJIducA9+KAIZIkSeoAJkgqzOTkJMuX\nLwc4AOgvOBxJkiTJBEnFqlRsOJIkSVLnMEFSoer1evbnW4CDCgxFkiRJMkFSsdJodlQqlTcA\nv1hsNJIkSep1JkjqCOlapFLRcUiSJKm3mSBJkiRJUmKCJEmSJEmJCZIkSZIkJSZIkiRJkpSY\nIKkjpNHsHgfsX2wkkiRJ6mUmSOoIIyMjAJuBC4uNRJIkSb3MBEkdY9WqVQADRcchSZKk3mWC\npE7TD3wIuBQ4suBYJEmS1GMqRQcgNRgGXlqtVqnVal8Ebi06IEmSJPUOW5DUkYaGhooOQZIk\nST3IBEmSJEmSEhMkSZIkSUpMkNQxRkdHAZ4KMDY2BnAmsKm4iCRJktRrHKRBHWNiYoKhoaHK\nzp072blzJ5VK5dzx8fFh4N+Ljk2SJEm9wRYkdZRKZSpnX758eYGRSJIkqReZIEmSJElSYoKk\npWI9cDywX9GBSJIkqXuZIGmp+CJwLXBx0YFIkiSpe5kgqdP1A4NAdZ999gGoFhuOJEmSupkJ\nkjpWrVYDeBbwAFAqlUrFBiRJkqSuZ4KkjlWv17OR7JYT1yBJkiRJC8oESR0tazUqlUpDk5OT\nAIcAFxQZkyRJkrqXCZKWhFKpxOjoKOVy+QnAhcA+RcckSZKk7mOCpCVlxYoV2Z9ekCRJkqS9\nzgRJS9064Gbg+8SADpIkSdK8mSBpqVsDHDU0NPR44CRgZcHxSJIkaQmrFB2ANE9PJEa22wkw\nOjoK8KdEkvSc4sKSJEnSUmYLkpaUNJIdwFWlUumfgTdlM9KNZIdmeOkHgR8Af7OA4UmSJGmJ\nM0HSklKv1wEolUr9KSHaVYcbbiR7FVAHPpamj1+2bNmhwFMWJVBJkiQtSSZIWpJKpVKWLO0a\n7jtNPwY4GViTbjK7Jls+MDCwuEFKkiRpyTFB0pJVq9UolUpHNUwfC3wDKFcqXmInSZKk9pgg\naUlLrUS7pG53kiRJ0ryYIEmSJElSYoKkbrUqPZeAlxHXJkmSJEmzMkFSV5mYmMj+XJue9wUu\nLpVK69O9kk4FHgFWLH50kiRJ6nQmSOpK5XKZWq0GcAxAX18fk5OT2TVLK4HhAsOTJElShzJB\nUteq1+u7DeLgyHaSJEmajWeL6moNN49tpgr8fnq+GLhtoWOSJElS57IFST0l3UwW4FLgROBg\n4I/K5fIbgcuB18/w0scDz0rPkiRJ6lImSOopk5OTAFSr1U3ASfll1Wr1cOBXcrPWAxcALwYu\nAb6UniVJktSlTJDUk1Ki9G7gXdm8gYEBiBalPyS6n76or6/vQiIpWrZq1SqY6pa6HDgUOIgY\nFW8S+CzwAmIEvUOA8sJviSRJkvYmEyT1pMnJSYaGhgBOzuaNjY3R399/IPAnwDqgb+XKlTOt\n4lPAD4DrgZXlcrnU399/FvAm4MfAncCrF24LJEmStBBMkNSz6vU6AwMD++bnDQ8P71YmObzh\n5csHBwcZGBjYD2IwiPTaPqCcEqvlSJIkaUkxQVJPGxwcnGnRm4DVWYLUuPS2LwAAHNFJREFU\n19c3lG40ewKwEzi4VCpNe33qtrc2lZ/rrX8Z+AvghQ3zh4AHiC57r2h5QyRJkrRX9OIw3yXi\nJqGDxInu9mLDUSfJBnHo6+t71eTk5H3Z/FKpRL1eZ3h4mO3btw+WSqV1ja8dGxujUqnsPz4+\nns06EPhn4FGiK95JwLXAXwGvq1QqzxgfH78J+Ggq/2TgLcDqarVKrVZ7LbA/cV3USuBC4Muz\nhP9E4I+AceCtwAHAfwO3Ay8DzgRuAf64rZ0iSZLUQ3olQVoHvJI4QdwILMst2wZ8D/g0cQK6\nddGjU8cplUpUKpUDGueXyzHuwkwtRMuWLWPr1l1VaEO1Wj2rVqsBnDowMHDw6Ojo04B7gdLy\n5cvZsmVL/uUnV6vV59VqNSYmJqhWq0fVarWXAocNDAwwOjq6HJgA/h04Dvg54A7gqvT6E6rV\n6nnp/dYDm4jrpA4DzqlWq8+t1Wr3YIIkSZI0o15IkE4HPg6sIFqLbiO6MNWIm4OuI7pNnULc\nA+ds4JpCIlVH6e/vn/drU9e84cHBQVLCcnC5XKavr+/AycnJS4CJXJe8K4nEfG2uPJVKhVqt\ndghEy1apVDqjXq+fTrRIPVgqlTbU6/VJoiX0EuD+oaGh7PXLV61axZYtW3ZtRG5Z3gaixelB\n4CnAucCTgJuBy4Bvp3IDxIh9g8SofT+e986RJEnqYN2eIK0iTvK2EPey+TxxMthoEHg+8E7g\nk8AR2PVOe2DHjh0Am7JrmCqV+KqtWLGCRx55hHK5XE5d8laPj48/s1QqUSqVpq0jdekrb98e\nVXFoaIhSqVTevn37cKlUGk7Tfdu3bx+uVCqvGB8f/8/cy39uYmICYDXRxW5Fbtn70vybgM1p\n3r3A+kqlwvj4OJVK5fTx8fEnAaPEzXEHiWQqcyOR1N0FfDG9/jrgIaKr3wHAd4jEq9FGooXr\np8S1XgC/B9w98x7dI4cTsd8I3L9A7yFJkrpEtydIZwH7El3rvjVLuUdJv8ATJ3tnEK1O0rzU\n6/XZBoDYlQwNDw9nCVPTFqsssWqcbnxO6zsxn5ClbnrLarXaE/r6+kgJ0xrglSkRevbKlSvZ\nunUrfX1966vVKtVqlS1btmRdCJ+ZuvbR19dHtVqlXC4zMjJCX1/f0eVymbGxsacxNdDENcA+\nREJVJq63Wkn8QPHSVOYSoqWqAlzR19f37FKpxMTExLoU2yjRZfAA4HjiGqyfEj90fBI4lhi8\nYgD4HHAa0YXwp8BFwDvSezwd6CcStvXAfsANRKvxY9L71Ilrst4GPJUYIOP69JqTiKRyBXF8\nuBf4KpH0/T3RvfFzwPeJFrf70vrfkt7j/wL/AfwacHRaxwAxsmHWpXeMuHfWE4ARorvkHcCR\nafvvIZLbG4DLgZ/kqsJa4LnpvQ8HHku06n0w7av9gOcR17VtS+9VJboXb0vLN6V1/T3RinkS\ncAyROH8uvf+5aX99AfhRKv8U4Blpv95IXEOX/fB0TvrMvgmcmN730vQMMTjJGuKmyz9kd19I\nr//btC2Nzk775ivEvs8MA79KfKaXEa2qecvScog6+ZK0PeekeUPEPcxKwMdo7weylwGvIerb\nu4F/Yfeu2gNEXagQ/1seaWP9jyX+Jz0IfKLF15TT+w0StyT4WRvvl3cyUce+x8z/Q9cQdXEH\nse8n5/leEN/544Fbga+leY8hPqdRoi41+5FTnelA4vzrEeJ63KKtJo5BjxJ1aaLYcBbNGcRx\n5KtELyq1oET8Q4H4x765uFAWxJuI7RposXyZOAj/ATHC2HwdQnRNajUBrRAnYgNMnUgshA+U\nSqXfgKnhq7MT9fx0bmjrJTXdbFucnvmz3dv7bw5ZQlLNve94qVSqtPh6iO9G/xzTfcRxrZ0R\nOieYflPfxunMeFo3afk407/j+enR9DzTsWc0ravVfpy1VL7M1D/12dY92/KZXjPQMJ2Pr0bs\n0z7ic6w0lK2nZVn5/GczSpw0lxvmZZ/TeHp9ueH1pfTITojL6VFKr+/LLS/l4q/lysPU/qo2\nxFZPyxqXZ9tTSc/Z+iu515CbnmT6vqvllk+mRz6+/Pon0/r6UrzNpuu5147l1lduWH/j6/Pv\nR5PlzaYn0rxsOosz2wcTad5MdXG04fWN65tpusz0upWtt9n6s7rWl4snm87qSn46q1utTmf7\nqrHuzTWdj3dPp1ute7NNZ3UjPz2RW18rda9xeq661zjdWHfbeb9mdaWx7jVOz1XXdv0PYvpx\nqY/d62Jj3Zprem/Uvaz+7+26lq3jH4AL0Gw2k67T7vYWpK3EP8I1xC/MczmAqKh7OlDD3cB5\ntL5/S0SMC5kcAfxhvV7/F2JUNICRdHK6nPhijtTr9RJT9+/ZlqZXEAeOkXq93peWTwDbm0yX\niF9ox3LLVxBf7h256Wx5Obc8m16eW15J06Pp9Y3T/cSvx7V6vb6DOBhn0zuJz3858GhuOr88\nK7+zXq9nv/IvS9O13PIdaTr7FX57mh7MTY+m6aFZpofSOrbX6/WxhunRtK788mUphpF6vT7e\nZHo4bdNIvV6fSMv7myzflpYPE/VyGzBZr9ez5VvrURmGiYPpthmmlxPfkW3ZdVbZdKpDy4n6\nPDLD9AqAer0+kp531b1UblfdS9O76l5ueVZ+Wt3LlR8nfs3O18Udqfyuupe2a1fdS9PLc8sr\nM0yPpvVldalxuka0YOyqe7np/PJddY+pFqZl6e9Hc8t3MHXN5FAqP60uphgG02NHbnoot3xX\nXUvblE3vmGF5Vtcap0fSPttV99JnsCw3Pa3upeVZ3RvJTfcTx9t6en1WN6fVPWauW23XvTQN\nU3Vpe8N0Vtf2dt1bnlveWBfzdW0HM9fFVuteVpfydXGuutdseiHr3mDal2NNlrdT95rVxfxx\nLl/XGutiVnf2pO7B1HFrrrqXlV9Be3UvP91Y95rVxV3/g5mqa3ur7s1UF2tpeoDdj4N7Uvea\n1cWs7k37H8ye171p/4NpXvfmOg62U/cm2f042Fj3mtXF+dS9u4mWYLWhnh6bC45jIWwktu0j\nzP1r6jDR7WWS3W8KKkmSJKl7bSblRd3egnQzcUH6q4g+858h+tc/QPxSUCX68h9D9KFeTVyP\ncHsRwUqSJEkqXje3IEE0Nb6WuCC3PsvjduD8gmKUJEmSVJzN9EgLEsSGvgd4LzGa1Ebiep9B\nor/r/cQoUbcWFaAkSZKkztALCVKmTiRCNxQdiCRJkqTO1M5QuJIkSZLU1UyQJEmSJCkxQZIk\nSZKkxARJkiRJkhITJEmSJElKTJAkSZIkKTFBkiRJkqTEBEmSJEmSEhMkSZIkSUpMkCRJkiQp\nMUGSJEmSpMQESZIkSZISEyRJkiRJSkyQJEmSJCkxQZIkSZKkxARJkiRJkpJK0QFoSbsSeGbR\nQUiSpK5RBzYA9xQdiHqXCZL2xJ3Egez3ig5EHeUbwOuBbxYdiDrGmcCr07OUuRC4Dnh/0YGo\nYxwEfAooFR2IepsJkvbEKPAw8Q9OytSBO7BeaMpRxPHCOqG8bcB9WC80ZUvRAUjgNUiSJEmS\ntIsJkiRJkiQlJkiSJEmSlJggSZIkSVJigiRJkiRJiQmSJEmSJCUmSJIkSZKUmCBJkiRJUmKC\nJEmSJEmJCZL2xGh6SHnWCzWyTqgZ64UajTY8S4Wpp8fmguPQ0rMPsF/RQajjHAKUig5CHaUC\nbCg6CHWctcBw0UGo4xxadADqWZtJeVGl4EC0tD1SdADqSD8sOgB1nHHgv4sOQh3nJ0UHoI50\nZ9EBSHaxkyRJkqTEBEmSJEmSEhMkSZIkSUpMkCRJkiQpMUGSJEmSpMQESZIkSZISEyRJkiRJ\nSkyQJEmSJCkxQZIkSZKkxARJkiRJkhITJEmSJElKTJAkSZIkKTFBkiRJkqTEBEmSJEmSkkrR\nAWjJWgYcAZSBO4BHig1HBRoAnjbL8oeB7y5SLCrescAq4OvAxCzlVgOHAjXgFmB04UNTQcrE\nMWIHcF2T5WuAjbO8/ofA3QsQl4pTBR6fnu9k9nMIzzdUiHp6bC44Di0NfcBbge1M1Z1R4P3A\nYIFxqTiHMVUXmj2uLC40LaJh4jiQfe7LZyi3GvgEkTxlZR8GXrMIMWrxHQJcTXzO185Q5n8z\n+zHkzQsfphbJIPBXwE6mf8afBh7XUNbzDS22zaS6ZguS2vWnwJuAzwDvI379fTHwm8QvQecX\nF5oKsio9XwJ8tMnyny1iLCrGicCHgX2JX/oPnqFcCfgk0ZrwLuByYB/g/wHvAUaAixc6WC2a\n84H3Aj8Axmcplx1D3gDc2GT57Xs5LhXnIuCFxDnEB4iE5xzgAqIV8YlMtSZ7vqFC2YKkVq0G\nHgWuYffr1z4FTDJ7Nwl1p2cRx5DXFR2ICnMD8GVgPfBvzNyCdHZa9o6G+cPAPcCPiW40Wvr2\nIz7r9xAns48ycwvSn6Wyxy5OaCrIkcTnfBXxY0nev6Zlz07Tnm+oCJtJeZGDNKgdZxL/6D5A\nHJzy3k8c8H5lsYNS4bJff7cUGoWK9OfAacC9c5Q7Jz2/v2H+dqL1cT1w8t4NTQUZBZ4LvJb4\n5X82HkN6wwTRWvxm4iQ07+r0vD49e76hQtnFTu3Ift1rdpHttQ1l1DvyJzcbgCcDK4Gbge8U\nFZQW1WUtljuW6EZ3W5Nl+WPI1U2Wa2nZRnSNakX+GPIk4CjiBPo/cXCGbnIH8NczLHtcrgx4\nvqGCmSCpHQel52a/Ej9A9DF/7OKFow6xT3r+XeAkpneR+gbwq0T3Kekg4L4ZlmXHFY8hvSc7\nhlwO/Hxufh34R+C3mbsVSkvXkcCvA/8F/Eea5/mGCmUXO7VjWXp+tMmyepo/vHjhqENkv/4u\nA55PDN18IvAR4mL8z+J1JQrLaH78gBjVCjyG9KLsGHI/8AtEa8LpROvBb7D7NWvqHhuIEezG\ngRcx1fXO8w0VyhYktSMbhWimelPBe5n0orcB7ya6x2R15IfEaEP7Ab8EnEEkSupt48x+/ACP\nIb3oOcTn/2Bu3t3EBfq3AL9FXLfiNUrd5QSi1bAPeCZwa26Z5xsqlC1Iakf2z2vfJsuWEfcl\neGjxwlGH2EEM5d1sGN+Pp+enLF446mAP0vz4AfCY9OwxpPc8wvTkKLOFuI9ahbg2Sd3jBcDX\niM/9qUT3ujzPN1QoEyS1I7uw+ogmy45Mz7csUixaGsaKDkAd5TZgLVPXnOQdlZ49hijPY0j3\neSkxauVXiVEr72pSxvMNFcoESe24Mj2f2WTZ2en5ikWKRZ3jr4Ev0PzO5k9Lz/4jE8QxpER0\nuWx0NtEK+ZVFjUhFWwl8jLhfUqM+onWhzvTuV1q6ziQG3vg00bVy2wzlPN9Q4bxRrNrxDWI0\noU25eccCW4lffLyurfe8nTiGvA8YyM1/HvHr773AUAFxqRiz3Sh2NXGs+AFTo1QBvDy95qIF\nj05Fme1GsdcS97p5aW5eGXgrUS8+ubChaZHsA/wUuInW/id4vqHFtpmpvMgESW05nBhpaJK4\ngPYbxK++DwPHFRiXijMMfJM4jvyE6DZxR5p+iKlWJHWnJwLfyj22MHUPm2zec3PlzyUurt5J\nXINwYyp/PVOjmWnpewnT68UkcQ+s/LwsST6SOHGuA98njiH3p+nvAWsWM3AtmNcRn+mPmF4P\n8o8/zJX3fEOLbTMpLzL7VrtuB44GXkWMQFMiRjH7/zS/X4G633bg6cQQ388iTnpuJLpRXESc\n+Kh7ZUPuZq5vUmYi9/fHiS6XFxDXFzwAXAj8AzMPAa6lZ4Lpn+fXmpTJhnS+FXgC0ZJ4PJEQ\nfQX4MvBhvAdSt9hCJL+zyV9z5vmGCmULkiRJkqRetpmUFzlIgyRJkiQlJkiSJEmSlJggSZIk\nSVJigiRJkiRJiQmSJEmSJCUmSJIkSZKUmCBJkiRJUmKCJEmSJEmJCZIkSZIkJSZIkiRJkpSY\nIEmSJElSYoIkSZIkSYkJkiRJkiQlJkiSJEmSlJggSZIkSVJigiRJkiRJiQmSJEmSJCUmSJIk\nSZKUmCBJkiRJUmKCJEmSJEmJCZIkSZIkJSZIkiRJkpSYIEmSJElSYoIkSZIkSYkJkiRJkiQl\nJkiSJEmSlJggSZIkSVJigiRJkiRJiQmSJEmSJCUmSJIkSZKUmCBJkiRJUmKCJEmSJEmJCZKk\nbnMqcHzRQSxRlwF1YN1eXu848K29vM6FXO9ssn100BzTe3sfzpffB0lqU6XoACRpL/s88D3g\naUUHsgR9FLge2FZ0IEtYp+1Dvw+S1CYTJEndZoTOOTldai5PD81fp+1Dvw+S1CYTJEndpvGE\n8EnAfsDVRJesTAl4BvAw8N00byOwP/DVNH0IsAa4G7h/lvd8QnrdI8CtwMQM5UrAkcBK4IfA\nT+dZrp1tOjqV/WpafgSwL3AXcF/DejcS2/sNYLRh2aFEt7G5tnFf4HDiM7iF6G62N8y13my7\nv9cw/8nptdcSdSOzCjgW+AHwo9z8VrdzJo37cD51ahXxOWUxAJwITKbtyNsP2EB0mb8b+FnD\n8lYTpKcCQzMs2wZc18I6Wo0p0+r3Aeb+juX380rgmLTOHzeU29PPV1KPqKfH5oLjkKS94Xrg\ng7npzxLHuFUN5Spp/pW5eR9K8w4Fvg6MEQlIHfgUsLxhHc8B7mTqOFoHHgL+T5O4ziSSknzZ\nzwAHzKNcO9v08TTvqUydENaJk+2PAYO5ss2un9kE3NwQz4PAa5ts41uJfZaVuwN4Spq3J9cK\ntbLeG4mT8Ub3pNe8sGH+K9P8M9P0JlrbznavQWq3Tv1lw7ZeTyQHPwGuyZU7GPgc8TlmZSfT\nvP1z5Rq/DzP5fsO25x+NSdlMWo0JWv8+tPody/b7k4lEuQ6cm1u+idbrsaTetJmp44MJkqSu\nciiwPjfdTjJxUZp3HXA+kTwMAO9I8/84V/YU4kT3NuDZxAnyJuIktg5ckCt7InHSewfwv4iL\n5l+fXn8dUwPmtFqunW3KThzvBF4A9BO/8F+Y5r+jSdns5P4pQI04QT4NeCxwMvCFVO63cq99\nGVMn06cQJ/W/nfbPniRIra73XancwbnXHp7m/Xfa3ryPpW0bbnM7202Q2qlTF6R5/0XUpScA\nfwbcBGxn+j68CngU+E2iFeZI4NXADuBLuXKN34eZbAAOa3h8JMXz5y28vp2YWq3n7XzHskT0\nSuJ85lTmV48l9a7NmCBJ6hHtJBMfSPP+qqHsvmn+V3LzvpjmPalJ2RGie08m+1X9kIayf5fm\nn9pmufkkSG9vUvY+4tf2SkPZ7MTyM8SJ+dqG1w4RLTP5FptriNapAxvK/k5a53wTpFbXe2aa\nfkmuzG8R3cPeRnTLy7sP+HL6u53tbDdBaqdO/ReRODS2omTryO/DMeDf2d15RLJRbrKsHc8k\n6ty3ab07fqsxtVrP2/mOZfvooibv387nK6l3bcYESVKPmE+CtKnJekaYuq6nn/il/PYZ3jP7\nZfrg9D47gRualOtn6tfyVsvB/BKkZzZZ77+mZUc2lF2X3nMn0fXqBU0e30xlNwBV4pf+xut/\nIE6C55sgtbPeYaKV4P25MpcRLRdnpbJr0vyj0vQbaW87s3XOJ0Ha1GQb8nWqSiSCzbqzncju\n+/CH6fXPblJ+T+1HXLuzFXh8G69rJaZW63k73zGY2s9nNVlnO5+vpN61mZQXOUiDJO3u3ibz\nxpn6BfwA4oT2zhlen/0i/VjiYDtI/FLdaCz39/oWy83Xj5rMywYJWMvUYACZA1I8jwcunWW9\n64iL7cvsfkE8RPe2+VrXxnq3Eye7p+bmbQLeB/wH8TmcSlyTtSktv4L2tnNPtmWuOrWOSA6a\nfU7fbTLvAmJb/o3YP18mkobLiS5te+Iioj6eTwxikVnL1GATmeuAF7URU6v1vJ3vWL4FqHG9\ni/X5Suoi3ihWknY3Ocfy/vTcONJbJjvRq+bKjs9QtnGdc5Wbr0ebzMu2s9mPZVk8Xye6Is30\nuCZXtlkil12wPx/trvdLxOhva4hRzdYCXwO2EIM4ZMnTJmLEtO/S3nbuibnq1EB6bratNXYf\nbe1LxPVFryO6D55HJAA/As6ef5i8EnheWtc/NSybJJLq/OOhNmNq9/vQyncsb/sM61noz1dS\nF7EFSVKvahw9rB3ZSeF+Myx/THp+sIWyra6zFbNt077s/gt51kVvS5PyD6bndTRPrvKyYaT3\nabJsP6KFaT7aXe+XiEENfp6Ie5SpbmlXE0OBQyRK2fUt7WznQsqGIF/RZNn+NL+m6EHg3ekx\nSAx48F7gw0SXsUfajOEoYvCIu4hEqdEDNO8q2E5Me+v7kP+OzRUPFP/5SlpCbEGS1O1q6Xm4\nYf5Re7DOh4nrLY5h91+wAU4gTsZuSWXvSmUb7zNzGtEl6dQ2ysH8tum4JvOOJloFml3nsYW4\nbuMwYjS1RqcxNXDCT4jrVTaye9Jy8iwxzaXd9V5L7MenA78A/CdTJ8VfJy72P5k4Wb4izW9n\nOxfS/UQ3tI1NljVe01MiYs1//o8So869l7gPUOPABnOpEq09A0SXuXaTq1Zjauf70Op3bDad\n8vlKWkJMkCR1uzvSc/6Eugz8PvPv+gVwMdFi83sN888nTsQuZSqRuZg4ccwP6byMaO14HlPX\nWbRabj7b9DtMvxfNWcQ9Y65i5huJfoA48f1zprdgnExcV5IfEOELwGqmtzwsB/6AubuXzaad\n9U4So8KdSLQW5a+X+TqxLa8n9lF+2Ol2tnOhZCPabSC6pmXWEHUsv61PJ5LaP2lYR4mpRLjx\nJsBz+UuiPvwJcZPbdrUTUzvfh1a/Y7PphM9X0hLjKHaSutlG4pfmB4G/AP6I6Hb1duBnTB9m\nORsJ67Am68muY8lUieSiTpx8X0icdE8SI3StzpUdTGXqadlniRaDSeI+Me2Wa2ebslHV/iat\n62PEsMc14nqN45qUzUZg62dqtLBbiBPWK4jrR+5i+ghnRxKtDpMplk+k93sH0TXr28xPu+u9\ngKmb4Z7WsOyuFPt3Gua3s53zHcWulTp1PDHi2liK55/SNr6G+Lzzo9hdmtZ7O/DPwL8wdbPX\ndzd5r9kcRuzfibTeDzd5tKLVmFqt5+18x2bbz+18vpJ612YcxU5Sj7gZOJY48TqG6LL1N8SJ\n7AaiG1fmNqLVYWeT9VxNnKxmasCziO5Iv0RcnP4Q0dLxIaZf7/Ao8IvAS4HTie5GnwA+yPSL\nw1st1842Zf6aONk8j+hGdRHR9SnfRenmtP3ZhfFjREvTucBziK5IDwFvIE4y89cu3Uqc4L+W\nGChhIpW7JL1ua5OYWtHueq9g6uS7sSXkg8Q1NJ9omN/Odmb7qDbHdLYP26lT1xGtX68GHpe2\n4deIhPddTB+w4EXE530WMTLcBPD5NG8+LUBfS8+N92BqR6sxtVrP2/mOzbaf2/l8JQmwBUmS\nulljC4c6W4Xdr7fK7vk02zDVkqQ9s5mUF3kNkiRJneHNRAvIi3Lz+ojrrSBaYyRJC8wudpKk\nxbKW9ka1u4bmN4ntVh8EfpPoPvZyYlCDJwNPJK6h+WhhkUlSDzFBkqTu1niNTJGOJ4ZxbtUL\niYv9e8U9xKAZLwd+jhh18HpiII5L2f1msZKkBeI1SJIkSZJ62Wa8BkmSJEmSpjNBkiRJkqTE\nBEmSJEmSEhMkSZIkSUpMkCRJkiQpMUGSJEmSpMQESZIkSZISEyRJkiRJSkyQJEmSJCkxQZIk\nSZKkxARJkiRJkhITJEmSJElKTJAkSZIkKTFBkiRJkqTEBEmSJEmSEhMkSZIkSUpMkCRJkiQp\nMUGSJEmSpMQESZIkSZISEyRJkiRJSkyQJEmSJCkxQZIkSZKkxARJkiRJkpJK7u9TgDcWFYgk\nSZIkFeSU7I8SUC8wEEmSJEnqGHaxkyRJkqTkfwBBkLjP7D3LLAAAAABJRU5ErkJggg==",
      "text/plain": [
       "Plot with title “'unoccupied_dwellings' domain histogram”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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+7QdO7Iaq/z+qZ23LNu3PQZrPaYS5r+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\nYII=",
      "text/plain": [
       "Plot with title “'tree_cover_density' domain histogram”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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Durk6s7VZ/ZgboAAIAFsxcC0oqL5hhzaXXGdhcCAAAspr2wix0AAMBcBCQAAICJ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\nYII=",
      "text/plain": [
       "Plot with title “'impervious' domain histogram”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Histogram visualisation of weighted indicators\n",
    "indicator_columns <- colnames(indicator_data_weighted)[-1]\n",
    "for( current_indicator_column in indicator_columns ) {\n",
    "    indicator_filtered <- indicator_data_weighted[,current_indicator_column] \n",
    "    indicator_filtered[indicator_filtered == \"NaN\"] <- 0\n",
    "\n",
    "    title <- paste(\"'\", current_indicator_column, \"' domain histogram\", sep = \"\")\n",
    "    x_label <- paste(\"'\", current_indicator_column, \"' z-score\", sep = \"\")\n",
    "    y_label <- paste(\"Count\", sep = \"\")\n",
    "    hist(indicator_filtered, breaks=\"FD\", col=\"grey\", labels = FALSE, main=title, xlab=x_label, ylab=y_label)\n",
    "    box(\"figure\", lwd = 4)\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8c6d6526-ffd5-4cf5-abaa-df78e9cee3ba",
   "metadata": {},
   "source": [
    "## Process social vulnerability scores"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3b30ed1a-947e-4893-915a-68dc9de52f99",
   "metadata": {},
   "source": [
    "### Calculate domain scores"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "4a8f2459-ee44-4862-a0ed-a829b8a76824",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 12</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>SA_GUID__1</th><th scope=col>age</th><th scope=col>health</th><th scope=col>income</th><th scope=col>info_access_use</th><th scope=col>local_knowledge</th><th scope=col>mobility</th><th scope=col>physical_access</th><th scope=col>tenure</th><th scope=col>social_network</th><th scope=col>housing_characteristics</th><th scope=col>physical_environment</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>1</th><td>000581a3-4ebd-4a74-b5f8-0bd78cd7ede5</td><td> 1.25986257</td><td>-0.8236497</td><td>-0.55113286</td><td>-0.3552132</td><td> 0.5916092</td><td>-0.80430587</td><td> 1.0782176</td><td>-0.6291412</td><td>-0.76239614</td><td>-0.51537733</td><td> 0.2163239</td></tr>\n",
       "\t<tr><th scope=row>2</th><td>00275248-3d78-4fdb-8e5c-8ff1f76aebea</td><td>-0.06056320</td><td>-0.1740491</td><td>-0.20083207</td><td>-0.1481675</td><td>-0.5988715</td><td>-0.65728630</td><td>-0.4619480</td><td>-1.0319325</td><td>-0.08583099</td><td>-0.08272206</td><td>-0.1150856</td></tr>\n",
       "\t<tr><th scope=row>3</th><td>002b83e4-5cce-414a-8570-871a50ae0964</td><td>-0.18119048</td><td> 0.0721035</td><td>-0.07619354</td><td> 0.3552067</td><td> 2.0026374</td><td>-0.07351769</td><td> 2.0566182</td><td> 0.3733581</td><td>-0.01340725</td><td>-0.43095487</td><td> 0.3196619</td></tr>\n",
       "\t<tr><th scope=row>4</th><td>005eec3f-d746-480f-ae2c-bc6f1151548d</td><td> 0.06050512</td><td> 0.4745856</td><td>-0.96905613</td><td>-0.5608664</td><td> 3.0503211</td><td> 1.07997948</td><td>-0.7677528</td><td> 1.1891164</td><td> 0.14327742</td><td>-0.34810226</td><td> 0.6397246</td></tr>\n",
       "\t<tr><th scope=row>5</th><td>00b00ae4-229d-455d-84f1-d6face4876b1</td><td> 0.25353426</td><td>-0.1794283</td><td> 1.24308226</td><td>-0.6141542</td><td>-0.5494787</td><td>-0.02238299</td><td>-0.5840908</td><td> 2.1279286</td><td>-0.81129050</td><td>-0.57973227</td><td> 0.4764065</td></tr>\n",
       "\t<tr><th scope=row>6</th><td>00df2b78-66c8-4009-89e0-0e14e15e4208</td><td> 0.32472828</td><td>-1.0292439</td><td>-0.40492687</td><td>-0.4923798</td><td> 0.4801259</td><td>-0.83850016</td><td> 3.0768631</td><td>-0.6391705</td><td>-0.53257202</td><td>-0.50830359</td><td> 0.1858483</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 12\n",
       "\\begin{tabular}{r|llllllllllll}\n",
       "  & SA\\_GUID\\_\\_1 & age & health & income & info\\_access\\_use & local\\_knowledge & mobility & physical\\_access & tenure & social\\_network & housing\\_characteristics & physical\\_environment\\\\\n",
       "  & <chr> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl>\\\\\n",
       "\\hline\n",
       "\t1 & 000581a3-4ebd-4a74-b5f8-0bd78cd7ede5 &  1.25986257 & -0.8236497 & -0.55113286 & -0.3552132 &  0.5916092 & -0.80430587 &  1.0782176 & -0.6291412 & -0.76239614 & -0.51537733 &  0.2163239\\\\\n",
       "\t2 & 00275248-3d78-4fdb-8e5c-8ff1f76aebea & -0.06056320 & -0.1740491 & -0.20083207 & -0.1481675 & -0.5988715 & -0.65728630 & -0.4619480 & -1.0319325 & -0.08583099 & -0.08272206 & -0.1150856\\\\\n",
       "\t3 & 002b83e4-5cce-414a-8570-871a50ae0964 & -0.18119048 &  0.0721035 & -0.07619354 &  0.3552067 &  2.0026374 & -0.07351769 &  2.0566182 &  0.3733581 & -0.01340725 & -0.43095487 &  0.3196619\\\\\n",
       "\t4 & 005eec3f-d746-480f-ae2c-bc6f1151548d &  0.06050512 &  0.4745856 & -0.96905613 & -0.5608664 &  3.0503211 &  1.07997948 & -0.7677528 &  1.1891164 &  0.14327742 & -0.34810226 &  0.6397246\\\\\n",
       "\t5 & 00b00ae4-229d-455d-84f1-d6face4876b1 &  0.25353426 & -0.1794283 &  1.24308226 & -0.6141542 & -0.5494787 & -0.02238299 & -0.5840908 &  2.1279286 & -0.81129050 & -0.57973227 &  0.4764065\\\\\n",
       "\t6 & 00df2b78-66c8-4009-89e0-0e14e15e4208 &  0.32472828 & -1.0292439 & -0.40492687 & -0.4923798 &  0.4801259 & -0.83850016 &  3.0768631 & -0.6391705 & -0.53257202 & -0.50830359 &  0.1858483\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 12\n",
       "\n",
       "| <!--/--> | SA_GUID__1 &lt;chr&gt; | age &lt;dbl&gt; | health &lt;dbl&gt; | income &lt;dbl&gt; | info_access_use &lt;dbl&gt; | local_knowledge &lt;dbl&gt; | mobility &lt;dbl&gt; | physical_access &lt;dbl&gt; | tenure &lt;dbl&gt; | social_network &lt;dbl&gt; | housing_characteristics &lt;dbl&gt; | physical_environment &lt;dbl&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| 1 | 000581a3-4ebd-4a74-b5f8-0bd78cd7ede5 |  1.25986257 | -0.8236497 | -0.55113286 | -0.3552132 |  0.5916092 | -0.80430587 |  1.0782176 | -0.6291412 | -0.76239614 | -0.51537733 |  0.2163239 |\n",
       "| 2 | 00275248-3d78-4fdb-8e5c-8ff1f76aebea | -0.06056320 | -0.1740491 | -0.20083207 | -0.1481675 | -0.5988715 | -0.65728630 | -0.4619480 | -1.0319325 | -0.08583099 | -0.08272206 | -0.1150856 |\n",
       "| 3 | 002b83e4-5cce-414a-8570-871a50ae0964 | -0.18119048 |  0.0721035 | -0.07619354 |  0.3552067 |  2.0026374 | -0.07351769 |  2.0566182 |  0.3733581 | -0.01340725 | -0.43095487 |  0.3196619 |\n",
       "| 4 | 005eec3f-d746-480f-ae2c-bc6f1151548d |  0.06050512 |  0.4745856 | -0.96905613 | -0.5608664 |  3.0503211 |  1.07997948 | -0.7677528 |  1.1891164 |  0.14327742 | -0.34810226 |  0.6397246 |\n",
       "| 5 | 00b00ae4-229d-455d-84f1-d6face4876b1 |  0.25353426 | -0.1794283 |  1.24308226 | -0.6141542 | -0.5494787 | -0.02238299 | -0.5840908 |  2.1279286 | -0.81129050 | -0.57973227 |  0.4764065 |\n",
       "| 6 | 00df2b78-66c8-4009-89e0-0e14e15e4208 |  0.32472828 | -1.0292439 | -0.40492687 | -0.4923798 |  0.4801259 | -0.83850016 |  3.0768631 | -0.6391705 | -0.53257202 | -0.50830359 |  0.1858483 |\n",
       "\n"
      ],
      "text/plain": [
       "  SA_GUID__1                           age         health     income     \n",
       "1 000581a3-4ebd-4a74-b5f8-0bd78cd7ede5  1.25986257 -0.8236497 -0.55113286\n",
       "2 00275248-3d78-4fdb-8e5c-8ff1f76aebea -0.06056320 -0.1740491 -0.20083207\n",
       "3 002b83e4-5cce-414a-8570-871a50ae0964 -0.18119048  0.0721035 -0.07619354\n",
       "4 005eec3f-d746-480f-ae2c-bc6f1151548d  0.06050512  0.4745856 -0.96905613\n",
       "5 00b00ae4-229d-455d-84f1-d6face4876b1  0.25353426 -0.1794283  1.24308226\n",
       "6 00df2b78-66c8-4009-89e0-0e14e15e4208  0.32472828 -1.0292439 -0.40492687\n",
       "  info_access_use local_knowledge mobility    physical_access tenure    \n",
       "1 -0.3552132       0.5916092      -0.80430587  1.0782176      -0.6291412\n",
       "2 -0.1481675      -0.5988715      -0.65728630 -0.4619480      -1.0319325\n",
       "3  0.3552067       2.0026374      -0.07351769  2.0566182       0.3733581\n",
       "4 -0.5608664       3.0503211       1.07997948 -0.7677528       1.1891164\n",
       "5 -0.6141542      -0.5494787      -0.02238299 -0.5840908       2.1279286\n",
       "6 -0.4923798       0.4801259      -0.83850016  3.0768631      -0.6391705\n",
       "  social_network housing_characteristics physical_environment\n",
       "1 -0.76239614    -0.51537733              0.2163239          \n",
       "2 -0.08583099    -0.08272206             -0.1150856          \n",
       "3 -0.01340725    -0.43095487              0.3196619          \n",
       "4  0.14327742    -0.34810226              0.6397246          \n",
       "5 -0.81129050    -0.57973227              0.4764065          \n",
       "6 -0.53257202    -0.50830359              0.1858483          "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Get the domains and their associated indicator ID\n",
    "domain_indicators <- indicator_mapping %>% select('domain', 'indicator')\n",
    "\n",
    "# Get a vector/array of the unique domain names\n",
    "unique_domains <- unique(domain_indicators$domain)\n",
    "\n",
    "# Initialise the domain score dataset with the GUID\n",
    "domain_scores <- indicator_data_weighted %>% select(all_of(GUID))\n",
    "\n",
    "# Loop through each domain\n",
    "for (current_domain in unique_domains) {\n",
    "    # Identify which indicators are used within this domain (current_domain)\n",
    "    current_domain_info <- domain_indicators %>% filter(domain == current_domain)\n",
    "\n",
    "    # Count the number of indicators in this domain\n",
    "    domain_indicator_count <- length(current_domain_info$indicator)\n",
    "\n",
    "    # Get a vector/array of the indicators used by this domain, and add the GUID column name\n",
    "    current_domain_indicators <- current_domain_info$indicator\n",
    "    current_domain_indicators <- (c(GUID, current_domain_indicators))\n",
    "\n",
    "    # filter the dataset to only use the indicators in the domain\n",
    "    current_domain_data <- indicator_data_weighted[current_domain_indicators]\n",
    "\n",
    "    # Calculate the internal weight distribution for the indicators within this domain,\n",
    "    # using an equal weight distribution across this domain\n",
    "    internal_domain_weight <- 1.0 / domain_indicator_count\n",
    "\n",
    "    # Internally weight the data for this domain\n",
    "    current_domain_data_weighted <- current_domain_data %>% mutate_if(is.numeric, function(x) {x*internal_domain_weight})\n",
    "\n",
    "    # Sum each data row to get the total score for the domain\n",
    "    current_domain_data_weighted[, current_domain] <- rowSums(current_domain_data_weighted[2:(domain_indicator_count+1)], na.rm = TRUE)\n",
    "\n",
    "    # Add the current domain score to the overall results\n",
    "    domain_indicator_score <- current_domain_data_weighted %>% select(all_of(GUID), all_of(current_domain))\n",
    "    domain_scores <- merge(domain_scores, domain_indicator_score, by=GUID)\n",
    "}\n",
    "\n",
    "# Print the first part of the domain z-scores, which are now collated into one table\n",
    "head(domain_scores)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "85066c36-35e5-4aac-b579-111ec7917a37",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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107sXpL9YTqG1MoCQBYoQQkYNW79dZbe+ADH3joueeee3LVli1bet3rXld1bAIS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\nAAAAAElFTkSuQmCC",
      "text/plain": [
       "Plot with title “'age' domain histogram”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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ICRgAQAADASkAAAAEYCEgAAwEhAAgAAGAlIAAAAIwEJAABgJCABAACMBCQAAICR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\nqWI4xU6SJEmSov8P5vwkhUDo/WUAAAAASUVORK5CYII=",
      "text/plain": [
       "Plot with title “'health' domain histogram”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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DDad9oFrKMfqB5eHVcdXh1QXV1dUJ1T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\nTZTQAAAAAElFTkSuQmCC",
      "text/plain": [
       "Plot with title “'income' domain histogram”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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3VM+/Zattzt/VCfw79t6pq6btyZwH/M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\nRJIkSZIqhk3sJEmSJCn6/wnaUiBwMiqFAAAAAElFTkSuQmCC",
      "text/plain": [
       "Plot with title “'info_access_use' domain histogram”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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eve0eiCd9y8CgQAAOZvM7QgPah6Q3Vso7XoI41wdH1jkIaTq7Orc6rnVA9vBCkA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\nSUVORK5CYII=",
      "text/plain": [
       "Plot with title “'local_knowledge' domain histogram”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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AAwCEgAAACDgAQAADAISAAAAIOABAAAMAhIAAAAg4AEAAAwCEgAAACDgAQAADAI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\nFBtJwGk5AAAAAElFTkSuQmCC",
      "text/plain": [
       "Plot with title “'mobility' domain histogram”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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78HpCS5PMltSc5Nmcr71BHaLEsJUR9J8oOOVQYAAPSUQQhISXJLktPq7XlJ5qbM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\nJEmSpOj/A6zcdBC8xg23AAAAAElFTkSuQmCC",
      "text/plain": [
       "Plot with title “'physical_access' domain histogram”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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2dXP96uA9Jqc1TTl9hLFzn+4mpLusptCBdddFHVA5qOP5vVj1fvWNKCAABYcbMc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\nZniInSRJkiRF/w+pFLbFgI8yOAAAAABJRU5ErkJggg==",
      "text/plain": [
       "Plot with title “'tenure' domain histogram”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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ABYRes9IH2hYZS6uzcce7Q3/746pPr8Mp/3ivE5j1pi+3vluCfYm1s0/Pgw6S6z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\nSZIkSYr+P8gSU1RAjOEMAAAAAElFTkSuQmCC",
      "text/plain": [
       "Plot with title “'social_network' domain histogram”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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57td6XlWKmmta639dS4Hrdv6ffPhR16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\nnSRJkiQl/x+m1J0Dj4GgPAAAAABJRU5ErkJggg==",
      "text/plain": [
       "Plot with title “'housing_characteristics' domain histogram”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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wAAbDGzPkjD5dWPVm+pXjpO32gYxe6qhi54x1dHj+0/V/1Iwwh3AADAFjPrAanq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1ZyPjEO6j+Ii7TbiWLtRqLoyrMb0brymyp5lNsBuIro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\ndpIkSZKU/C9oBwnYCMGfvAAAAABJRU5ErkJggg==",
      "text/plain": [
       "Plot with title “'physical_environment' domain histogram”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Histogram visualisation of domain z-scores\n",
    "for( current_domain in unique_domains ) {\n",
    "    domain_scores_filtered <- domain_scores[,current_domain] \n",
    "    domain_scores_filtered[domain_scores_filtered == \"NaN\"] <- 0\n",
    "\n",
    "    title <- paste(\"'\", current_domain, \"' domain histogram\", sep = \"\")\n",
    "    x_label <- paste(\"'\", current_domain, \"' z-score\", sep = \"\")\n",
    "    y_label <- paste(\"Count\", sep = \"\")\n",
    "    hist(domain_scores_filtered, breaks=\"FD\", col=\"grey\", labels=FALSE, main=title, xlab=x_label, ylab=y_label)\n",
    "    box(\"figure\", lwd = 4)\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b8917dee",
   "metadata": {},
   "source": [
    "### Calculate dimension scores\n",
    "Need to collate the domains into the dimensions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "0b6b1a07-abcd-4e93-bf99-c066e3ea0046",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 7</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>domain</th><th scope=col>sensitivity</th><th scope=col>prepare</th><th scope=col>respond</th><th scope=col>recover</th><th scope=col>adaptive_capacity</th><th scope=col>enhanced_exposure</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>1</th><td>age   </td><td>1</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>\n",
       "\t<tr><th scope=row>2</th><td>age   </td><td>1</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>\n",
       "\t<tr><th scope=row>3</th><td>health</td><td>1</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>\n",
       "\t<tr><th scope=row>4</th><td>health</td><td>1</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr>\n",
       "\t<tr><th scope=row>5</th><td>income</td><td>0</td><td>1</td><td>1</td><td>1</td><td>1</td><td>0</td></tr>\n",
       "\t<tr><th scope=row>6</th><td>income</td><td>0</td><td>1</td><td>1</td><td>1</td><td>1</td><td>0</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 7\n",
       "\\begin{tabular}{r|lllllll}\n",
       "  & domain & sensitivity & prepare & respond & recover & adaptive\\_capacity & enhanced\\_exposure\\\\\n",
       "  & <chr> & <int> & <int> & <int> & <int> & <int> & <int>\\\\\n",
       "\\hline\n",
       "\t1 & age    & 1 & 0 & 0 & 0 & 0 & 0\\\\\n",
       "\t2 & age    & 1 & 0 & 0 & 0 & 0 & 0\\\\\n",
       "\t3 & health & 1 & 0 & 0 & 0 & 0 & 0\\\\\n",
       "\t4 & health & 1 & 0 & 0 & 0 & 0 & 0\\\\\n",
       "\t5 & income & 0 & 1 & 1 & 1 & 1 & 0\\\\\n",
       "\t6 & income & 0 & 1 & 1 & 1 & 1 & 0\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 7\n",
       "\n",
       "| <!--/--> | domain &lt;chr&gt; | sensitivity &lt;int&gt; | prepare &lt;int&gt; | respond &lt;int&gt; | recover &lt;int&gt; | adaptive_capacity &lt;int&gt; | enhanced_exposure &lt;int&gt; |\n",
       "|---|---|---|---|---|---|---|---|\n",
       "| 1 | age    | 1 | 0 | 0 | 0 | 0 | 0 |\n",
       "| 2 | age    | 1 | 0 | 0 | 0 | 0 | 0 |\n",
       "| 3 | health | 1 | 0 | 0 | 0 | 0 | 0 |\n",
       "| 4 | health | 1 | 0 | 0 | 0 | 0 | 0 |\n",
       "| 5 | income | 0 | 1 | 1 | 1 | 1 | 0 |\n",
       "| 6 | income | 0 | 1 | 1 | 1 | 1 | 0 |\n",
       "\n"
      ],
      "text/plain": [
       "  domain sensitivity prepare respond recover adaptive_capacity\n",
       "1 age    1           0       0       0       0                \n",
       "2 age    1           0       0       0       0                \n",
       "3 health 1           0       0       0       0                \n",
       "4 health 1           0       0       0       0                \n",
       "5 income 0           1       1       1       1                \n",
       "6 income 0           1       1       1       1                \n",
       "  enhanced_exposure\n",
       "1 0                \n",
       "2 0                \n",
       "3 0                \n",
       "4 0                \n",
       "5 0                \n",
       "6 0                "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 7</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>SA_GUID__1</th><th scope=col>sensitivity</th><th scope=col>prepare</th><th scope=col>respond</th><th scope=col>recover</th><th scope=col>adaptive_capacity</th><th scope=col>enhanced_exposure</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl[,1]&gt;</th><th scope=col>&lt;dbl[,1]&gt;</th><th scope=col>&lt;dbl[,1]&gt;</th><th scope=col>&lt;dbl[,1]&gt;</th><th scope=col>&lt;dbl[,1]&gt;</th><th scope=col>&lt;dbl[,1]&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>1</th><td>000581a3-4ebd-4a74-b5f8-0bd78cd7ede5</td><td> 0.38290372</td><td>-0.4856123</td><td>-0.3377139</td><td>-1.3729086</td><td>-0.61316276</td><td>-0.3497016</td></tr>\n",
       "\t<tr><th scope=row>2</th><td>00275248-3d78-4fdb-8e5c-8ff1f76aebea</td><td>-0.20594059</td><td>-1.0185818</td><td>-0.9052009</td><td>-0.5397312</td><td>-1.02866162</td><td>-0.2313086</td></tr>\n",
       "\t<tr><th scope=row>3</th><td>002b83e4-5cce-414a-8570-871a50ae0964</td><td>-0.09575557</td><td> 1.3659655</td><td> 1.7874752</td><td>-0.1097374</td><td> 1.32022239</td><td>-0.1301417</td></tr>\n",
       "\t<tr><th scope=row>4</th><td>005eec3f-d746-480f-ae2c-bc6f1151548d</td><td> 0.46969785</td><td> 1.3940082</td><td> 0.8307672</td><td>-0.3008060</td><td> 0.88678611</td><td> 0.3410119</td></tr>\n",
       "\t<tr><th scope=row>5</th><td>00b00ae4-229d-455d-84f1-d6face4876b1</td><td> 0.06504954</td><td> 1.1356657</td><td>-0.5626938</td><td>-0.3603958</td><td> 0.06607222</td><td>-0.1208251</td></tr>\n",
       "\t<tr><th scope=row>6</th><td>00df2b78-66c8-4009-89e0-0e14e15e4208</td><td>-0.61841747</td><td>-0.5434782</td><td> 0.5417954</td><td>-1.2756320</td><td> 0.04443066</td><td>-0.3770668</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 7\n",
       "\\begin{tabular}{r|lllllll}\n",
       "  & SA\\_GUID\\_\\_1 & sensitivity & prepare & respond & recover & adaptive\\_capacity & enhanced\\_exposure\\\\\n",
       "  & <chr> & <dbl{[},1{]}> & <dbl{[},1{]}> & <dbl{[},1{]}> & <dbl{[},1{]}> & <dbl{[},1{]}> & <dbl{[},1{]}>\\\\\n",
       "\\hline\n",
       "\t1 & 000581a3-4ebd-4a74-b5f8-0bd78cd7ede5 &  0.38290372 & -0.4856123 & -0.3377139 & -1.3729086 & -0.61316276 & -0.3497016\\\\\n",
       "\t2 & 00275248-3d78-4fdb-8e5c-8ff1f76aebea & -0.20594059 & -1.0185818 & -0.9052009 & -0.5397312 & -1.02866162 & -0.2313086\\\\\n",
       "\t3 & 002b83e4-5cce-414a-8570-871a50ae0964 & -0.09575557 &  1.3659655 &  1.7874752 & -0.1097374 &  1.32022239 & -0.1301417\\\\\n",
       "\t4 & 005eec3f-d746-480f-ae2c-bc6f1151548d &  0.46969785 &  1.3940082 &  0.8307672 & -0.3008060 &  0.88678611 &  0.3410119\\\\\n",
       "\t5 & 00b00ae4-229d-455d-84f1-d6face4876b1 &  0.06504954 &  1.1356657 & -0.5626938 & -0.3603958 &  0.06607222 & -0.1208251\\\\\n",
       "\t6 & 00df2b78-66c8-4009-89e0-0e14e15e4208 & -0.61841747 & -0.5434782 &  0.5417954 & -1.2756320 &  0.04443066 & -0.3770668\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 7\n",
       "\n",
       "| <!--/--> | SA_GUID__1 &lt;chr&gt; | sensitivity &lt;dbl[,1]&gt; | prepare &lt;dbl[,1]&gt; | respond &lt;dbl[,1]&gt; | recover &lt;dbl[,1]&gt; | adaptive_capacity &lt;dbl[,1]&gt; | enhanced_exposure &lt;dbl[,1]&gt; |\n",
       "|---|---|---|---|---|---|---|---|\n",
       "| 1 | 000581a3-4ebd-4a74-b5f8-0bd78cd7ede5 |  0.38290372 | -0.4856123 | -0.3377139 | -1.3729086 | -0.61316276 | -0.3497016 |\n",
       "| 2 | 00275248-3d78-4fdb-8e5c-8ff1f76aebea | -0.20594059 | -1.0185818 | -0.9052009 | -0.5397312 | -1.02866162 | -0.2313086 |\n",
       "| 3 | 002b83e4-5cce-414a-8570-871a50ae0964 | -0.09575557 |  1.3659655 |  1.7874752 | -0.1097374 |  1.32022239 | -0.1301417 |\n",
       "| 4 | 005eec3f-d746-480f-ae2c-bc6f1151548d |  0.46969785 |  1.3940082 |  0.8307672 | -0.3008060 |  0.88678611 |  0.3410119 |\n",
       "| 5 | 00b00ae4-229d-455d-84f1-d6face4876b1 |  0.06504954 |  1.1356657 | -0.5626938 | -0.3603958 |  0.06607222 | -0.1208251 |\n",
       "| 6 | 00df2b78-66c8-4009-89e0-0e14e15e4208 | -0.61841747 | -0.5434782 |  0.5417954 | -1.2756320 |  0.04443066 | -0.3770668 |\n",
       "\n"
      ],
      "text/plain": [
       "  SA_GUID__1                           sensitivity prepare    respond   \n",
       "1 000581a3-4ebd-4a74-b5f8-0bd78cd7ede5  0.38290372 -0.4856123 -0.3377139\n",
       "2 00275248-3d78-4fdb-8e5c-8ff1f76aebea -0.20594059 -1.0185818 -0.9052009\n",
       "3 002b83e4-5cce-414a-8570-871a50ae0964 -0.09575557  1.3659655  1.7874752\n",
       "4 005eec3f-d746-480f-ae2c-bc6f1151548d  0.46969785  1.3940082  0.8307672\n",
       "5 00b00ae4-229d-455d-84f1-d6face4876b1  0.06504954  1.1356657 -0.5626938\n",
       "6 00df2b78-66c8-4009-89e0-0e14e15e4208 -0.61841747 -0.5434782  0.5417954\n",
       "  recover    adaptive_capacity enhanced_exposure\n",
       "1 -1.3729086 -0.61316276       -0.3497016       \n",
       "2 -0.5397312 -1.02866162       -0.2313086       \n",
       "3 -0.1097374  1.32022239       -0.1301417       \n",
       "4 -0.3008060  0.88678611        0.3410119       \n",
       "5 -0.3603958  0.06607222       -0.1208251       \n",
       "6 -1.2756320  0.04443066       -0.3770668       "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create a vector/array of the dimension names\n",
    "dimensions <- c('sensitivity', 'prepare', 'respond', 'recover', 'adaptive_capacity', 'enhanced_exposure')\n",
    "\n",
    "# Get the dimension and their associated indicator ID\n",
    "dimension_indicators <- indicator_mapping %>% select(c('domain', all_of(dimensions)))\n",
    "head(dimension_indicators)\n",
    "\n",
    "# Initialise the dimensions score dataset with the GUID\n",
    "dimension_scores <- indicator_data_weighted %>% select(all_of(GUID))\n",
    "\n",
    "# loop through each of the dimensions and:\n",
    "for (current_dimension in dimensions){\n",
    "    # Identify which indicators are used within this dimension (current_dimension)\n",
    "    # Then select the indicators marked with value 1, which means that the indicator is part of the dimension\n",
    "    current_dimension_info <- dimension_indicators %>% select(c('domain', all_of(current_dimension)))\n",
    "    current_dimension_info <- current_dimension_info %>% filter(dimension_indicators[, current_dimension] == 1)\n",
    "\n",
    "    # Get a array/vector of the unique domains in this dimension\n",
    "    current_dimension_domains <- unique(current_dimension_info$domain)\n",
    "\n",
    "    # Count the number of domains in this dimension\n",
    "    dimension_domain_count <- length(current_dimension_domains)\n",
    "\n",
    "    # Filter the domain scores dataset to only use the domains in the dimension, and add the GUID column name\n",
    "    current_dimension_data <- domain_scores %>% select(c(all_of(GUID), all_of(current_dimension_domains)))  \n",
    "\n",
    "    # Sum each data row to get the total score for the dimension\n",
    "    current_dimension_data[, current_dimension] <- rowSums(current_dimension_data[2:(dimension_domain_count+1)], na.rm = TRUE)\n",
    "\n",
    "    # Add the current dimension score to the overall results\n",
    "    dimension_indicator_score <- current_dimension_data %>% select(all_of(GUID), all_of(current_dimension))\n",
    "    dimension_scores <- merge(dimension_scores, dimension_indicator_score, by=GUID)  \n",
    "}\n",
    "\n",
    "# generate z-scores with the scale function in order to standardise the dimension data\n",
    "dimension_scores <- dimension_scores %>% mutate_if(is.numeric, scale)\n",
    "\n",
    "# Print the first part of the dimension scores, which are now collated into one table\n",
    "head(dimension_scores)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "de22f297-47c5-471d-9fb7-f2528f722353",
   "metadata": {},
   "outputs": [
    {
     "data": {
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wu/3/ag9fUNXQvf2nCEa3PDUapfbug2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\ngKYUA5EkSZKkPsMudpIkSZIU/X+P5wXwarLRIwAAAABJRU5ErkJggg==",
      "text/plain": [
       "Plot with title “'sensitivity' dimension histogram”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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mW8sOGM0hur72xadcBexyANAADAdvbM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",
      "text/plain": [
       "Plot with title “'prepare' dimension histogram”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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np9w0QPt++GpxFcVP2n6lNTrQw4IAhI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\noQAAAABJRU5ErkJggg==",
      "text/plain": [
       "Plot with title “'respond' dimension histogram”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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fkNR6UOn5i3X3OH6f6nVasK2KM5xQ4A\n2FN9tuG0vNkb1v7fhgEeZhruWTY7FPf11YtXvTpgj+UUOwBgT/XDDdfXbW+Ah8sahuUG2JHT\nM0gDALAO/F3DgC0/3nBvots1jMr41YYjSm9qGP4bYFEEJABgT3dNw/2PXjvtQoA9n0EaAAAA\nRgISAADASEACAAAYCUgAAAAjAQkAAGAkIAEAAIwEJAAAgJGABAAAMBKQAAAARgISAADASEAC\nAAAYCUgAAAAjAQkAAGAkIAEAAIwEJAAAgJGABAAAMBKQAAAARgISAADASEACAAAYCUgAAAAj\nAQkAAGAkIAEAAIwEJAAAgJGABAAAMBKQAAAARgISAADASEACAAAYCUgAAAAjAQkAAGAkIAEA\nAIwEJAAAgJGABAAAMBKQAAAARgISAADASEACAAAYCUgAAAAjAQkAAGAkIAEAAIwEJAAAgJGA\nBAAAMBKQAAAARgISAADASEACAAAYCUgAAAAjAQkAAGAkIAEAAIwEJAAAgJGABAAAMBKQAAAA\nRgISAADASEACAAAYCUgAAAAjAQkAAGAkIAEAAIwEJAAAgJGABAAAMNpn2gUAq+qW1f23M++K\n6mOrWAsAwJojIMHG8t82bdr0ZwcddNCcxi1btnTttdduqfatZqZSGQDAGiAgwcayz+1vf/te\n97rXzWk877zzesYznrF3tSkBCQDYwFyDBAAAMBKQAAAARgISAADAyDVIQDfddNPsw5/v5tcg\nXV/9ZbVlNWsCAJgGAQnoS1/6UlVHHXXUKyfbt27d2te+9rWqj1QXrH5lAACrS0ACmpkZDhq9\n4Q1vaNOmTd9uv+KKK3rsYx9bTscFADYIOz0AAAAjAQkAAGAkIAEAAIwEJAAAgJGABAAAMBKQ\nAAAARgISAADASEACAAAYCUiwZ/uT6vLtTC+dYl0AAHukfaZdALAs33nKKacc9ohHPGJO41ln\nndUHP/jB75xKRQAAezABCfZwRxxxRPe6173mtH30ox+dUjUAAHs2p9gBAACMBCQAAICRgAQA\nADASkAAAAEYCEgAAwEhAAgAAGAlIAAAAIwEJAABgJCABAACMBCQAAICRgAQAADASkAAAAEYC\nEgAAwEhAAgAAGAlIAAAAIwEJAABgtM+0C1hFB1YPrE6oDq8OqK6rvlqdV32ounFaxQEAANO3\nEQLSftULql+ubrGDft+s/nf1B9XMKtQFAACsMRshIL2p+tHq49VbqvOrS6sbqv2rI6uTqp9o\nCEh3rp46lUoBAICpWu8B6b4N4eiPqme3/SNDb6/+V3Vm9YvVGdUnV6NAWKSDq9su0H7L1S4E\nAGA9W+8B6fsbQtHz2/lpc5ur51ZPbrhWSUBiLfmn6p7TLgIAYL1b7wFp/2pLdfUi+19RbW0Y\n0AHWkoN/7ud+rgc96EFzGp/2tKdNqRwAgPVpvQekCxvW8dTq3Yvo/6MNQ59/ZncWBbvikEMO\n6aijjprTttdeRuoHAFhJ633v6j3Vl6s3VE+rjthOvzs2nF732upz4+sAAIANZr0fQbq2+pHq\nHdXLxumyhlHsbmw4Be+I6tCx/2erRzeMcAd7rCuuuKLquxtGZpx099WvBgBgz7HeA1LVx6rj\nqic0nGp3fNtuFHt99ZXqvdW7qjdXN02nTFg5X/ziFzvkkEOOPfbYY5872X7xxRdPqSIAgD3D\nRghINRxJetU4wYZw/PHH94IXvGBO2wtf+MI+/elPT6kiAIC1b6MEpBpGpntgdULbjiBdV321\nOq/6UMNpdwAAwAa1EQLSftULql+ubrGDft9suF7jD9r5PZMAAIB1aCMEpDc1DN/98eot1fkN\ngzTc0DBIw5HVSdVPNASkO1dPnUqlAADAVK33gHTfhnD0R9Wz2/6RobdX/6s6s/rF6ozqk6tR\nIAAAsHas94D0/Q2h6Pnt/LS5zQ33Qnpyw7VKywlI+1SPbPHbd+/qDtUfLuM9AQCAZVrvAWn/\nakt19SL7X1FtbRjQYTlu13C63mK37/7V7auXZqAIAACYmvUekC5sWMdTq3cvov+PVntVn1nm\n+36xutsS+t+/+udlvicAALBM6z0gvaf6cvWG6nnVW6uvLdDvjtXjq9+qPje+Dja8zZs3zz58\nTXXNvNlbq1+pLljNmgAAdqf1HpCurX6kekf1snG6rGEUuxsbTm07ojp07P/Z6tENI9zBNDyx\n4XTL+Q5b7UKqrrlmyEQPe9jDvv+QQw6ZM++tb31rN9544/EJSADAOrLeA1LVx6rjqic0nGp3\nfNtuFHt99ZXqvdW7qjdXN02nTGiv6nV3vOMdN93iFnNv2XXhhRdOp6LR4x73uI4++ug5bWed\ndVY33uiSOQBgfdkIAamGI0mvGidYyzY961nP6sQTT5zT+NCHPnRK5QAAbCwbJSDVMLLc9dXl\nE20HNJxSd+fqqw1HkS6/+UsBAICNYCMEpOOqN1X3GJ9/qGFAhpnqww3haNYV1aPGdgAAYIPZ\nCAHpjdXdG4LRdQ1Dar+puqi6VfWbDSPdHV89reE6pDtnoAYAANhw1ntAOqW6Z/VjDUN8V31n\ndd7Y/oCGQRxm/X31/uoh1VmrViUAALAm7DXtAnaz766+0bZwVHVxw6h1X2luOKr6QPXN6rtW\nozgAAGBtWe8B6eDqqgXar6mu3s5rrq32220VAQAAa9Z6D0gXV3esjppo26fhOqTj2naD2Fm3\nH/teshrFAQAAa8t6D0jvazha9M6G65Ae2XC63XdU/169rmH476q7Vn9ZbR1fBwAAbDDrfZCG\nK6rnVK+s/mZsm6meUn2xYVCGS6ob23Za3e/lCBIAAGxI6z0gVZ3ZcLToUQ1Dd7+j+sQ474eq\nX6+Orb7WcETpNVOoEQAAWAM2QkCq+ug4zffBcQIAAFj31yABAAAsmoAEAAAwEpAAAABGAhIA\nAMBIQAIAABgJSAAAACMBCQAAYCQgAQAAjAQkAACAkYAEAAAwEpAAAABGAhIAAMBIQILVd1R1\nVTUzb9oyzaIAAKh9pl0AbECHVQeddtppHXTQQd9u3Lp1a8997nOnVxUAAAISTMvd7373Dj30\n0G8/37LFASQAgGlzih0AAMBIQAIAABgJSAAAACMBCQAAYGSQBti9jq72ntd2h2kUAgDAzglI\nsPs8tHrvtIsAAGDxBCTYfQ488MADO/PMM+c0fvzjH+/FL37xlEoCAGBHBCTYjfbaa6+OOuqo\nOW23vvWtp1QNAAA7Y5AGAACAkYAEAAAwEpAAAABGAhIAAMBIQAIAABgJSAAAACMBCQAAYCQg\nAQAAjAQkAACAkYAEAAAwEpAAAABGAhIAAMBIQAIAABgJSAAAACMBCQAAYCQgAQAAjAQkAACA\nkYAEAAAwEpAAAABGAhKw0v6iunw70/OmWBcAwE7tM+0CgHXnrj/0Qz902Mknnzyn8R3veEfn\nnnvuMVOqCQBgUQQkYJdcc801VW9baN6d73znTjnllDltH/nIR1ahKgCA5RGQgF0yMzPTT//0\nT/c93/M9c9qf9zxn0QEAey4BCdhlxxxzTPe6173mtO21l0sbAYA9lz0ZAACAkYAEAAAwEpAA\nAABGAhIAAMBIQAIAABgJSAAAACMBCQAAYCQgAQAAjAQkAACAkYAEAAAwEpAAAABGAhIAAMBI\nQAIAABgJSAAAACMBCQAAYCQgAQAAjPaZdgHAxnDNNddUHVf9wgKzz63+bVULAgBYgIAErIrP\nf/7z3fKWt7z/IYcccv/J9quvvrqrrrrqn6uTp1QaAMC3CUjAqpiZmekBD3hAz3nOc+a0/9Vf\n/VWvfvWrne4LAKwJdkoAAABGAhIAAMBIQAIAABgJSAAAACMBCQAAYCQgAQAAjAQkAACAkfsg\nwfLdvfqlatO89u9c/VIAAFgOAQmW72G3utWtfvEe97jHnMaLLrqob37zm1MqCQCAXSEgwQq4\nwx3u0GmnnTan7cwzz+zss8+eUkUAAOwK1yABAACMBCQAAICRgAQAADASkAAAAEYCEgAAwEhA\nAgAAGAlIAAAAIwEJAABgJCABAACMBCQAAICRgAQAADASkAAAAEYCEgAAwEhAAgAAGAlIAAAA\nIwEJAABgJCABAACMBCQAAICRgAQAADASkAAAAEYCEgAAwGifaRcwBZuqA6sDquuqa6ZbDgAA\nsFZslCNIR1bPrz5aXV1dVV06Pr6y+nD169WtplUgAAAwfRvhCNJDq7dUBzccLbqgIRzdUO3f\nEJ6+r/qB6lnVIxuCFAAAsMGs94B0aPWm6pvVE6t3V5sX6HdA9bjqj6q3V3fLqXcAALDhrPdT\n7B5eHVb9ePXOFg5HVddXr68eX92++uFVqQ4AAFhT1ntAulN1U/Wvi+z/gWprdexuqwgAAFiz\n1ntAurLatzp8kf2PatgmV+62igAAgDVrvQekfxz/vqTabyd9D6xeVs1U79udRQEAAGvTeh+k\n4VPVy6unVadU76rObxjF7saGUeyOqE6sHlV9R/XC6rPTKBYAAJiu9R6Qqp7eMLT3r1dP3UG/\nC6tnV3+xGkUBAABrz0YISDPVS6s/qb6nOr7hmqQDGkav+8/qE9VnplUgAACwNmyEgDRrpiEI\nfbLheqMDqutyvyMAAGC03gdpmHVk9fzqo9XV1VUN1yFd3TBi3YcbTsG71bQKBAAApm8jHEF6\naPWW6uCGo0UXNISjGxoGaTiy+r7qB6pnVY9sCFIAAMAGs94D0qHVm6pvVk+s3l1tXqDfAdXj\nqj+q3l7dLafeAQDAhrPeT7F7eHVY9ePVO1s4HNUwWMPrq8dXt69+eFWqAwAA1pT1fgTpTtVN\n1b8usv8Hqq3Vsct836OqP2vx2/eQ8e+mZb4vAACwDOs9IF1Z7dswrPfXF9H/qIajalcu832/\nVb2vxW/foxuug5pZ5vsCAADLsN4D0j+Of19SPbm6cQd9D6xe1hBS3rfM9722evES+t+/+qVl\nvicAALBM6z0gfap6efW06pTqXdX5DaPY3dgwit0R1YnVo6rvqF5YfXYaxQIAANO13gNS1dMb\nhvb+9eqpO+h3YfXs6i9WoygAAGDt2QgBaaZ6afUn1fdUxzdck3RAw+h1/1l9ovrMtAoEAADW\nho0QkGbNNAShT0y7EAAAYG1a7/dBmvWD1fdOPN+3+o3q09UNDaPWfah67OqXBgAArBUbISD9\nTvX+6qHj803V31a/Vx1TfaH6ZnVy9ZbqeVOoEQAAWAPWe0A6rvrN6r3Vm8a2h43T2xrue3Rc\nww1lT6jOrU6rvnO1CwUAAKZvvQekBzWs41OqS8a2B1TXVD9dXTbR99Nj2z5tO9oEAABsIOs9\nIB1Wba6+MtG2T3VRdfUC/T9Rbalus/tLAwAA1pr1HpA+1xCIHjDR9u/VHVp4BL8Tq73bdrQJ\nAADYQNZ7QDq7Iez8VcNIdjUMxPClhsEbNk30vWf1xuqq6t2rWCMAALBGrPf7IF1bPaY6q2Ek\nuwurf6s+Wv169RNj2x0abiB7U/X46hvTKBYAAJiu9R6QaghE31X9WvW46gkT8+48Tlc2HD36\nveqTq10gAACwNmyEgFR1efVb43RwdXR1UMMADt9ouBfSzNSqAwAA1oSNEpAmXZWjRAAAwALW\n+yANAAAAiyYgAQAAjAQkAACA0Ua8Bgl21a9VT1+g/dDVLgQAgN1DQILFO/H444+/y6mnnjqn\n8W1ve9uUygEAYKUJSLAEd7rTnXrEIx4xp+2cc87pmmuumVJFAACsJNcgAQAAjAQkAACAkYAE\nAAAwcg0SMFU33HBD1W2qxy0w+8vV/13VggCADU1AAqbqggsuaO+99z7ulre85Zsn2zdv3tx1\n1113aXX4lEoDADYgAQmYqpmZme52t7t1xhlnzGk/55xzOu200/aeUlkAwAblGiQAAICRgAQA\nADASkAAAAEYCEgAAwEhAAgAAGAlIAAAAIwEJAABgJCABAACMBCQAAICRgAQAADASkAAAAEYC\nEgAAwEhAAgAAGAlIAAAAIwEJAABgJCABAACMBCQAAICRgAQAADASkAAAAEYCEgAAwEhAAgAA\nGAlIAAAAIwEJAABgJCABAACMBCQAAICRgAQAADASkAAAAEYCEgAAwEhAAgAAGAlIAAAAIwEJ\nAABgtM+0CwBYyI033li1f/ULC8y+vHrLqhYEAGwIAhKwJl100UVt2rTpwCOPPHHRD9QAACAA\nSURBVPJPJ9s3b97cpZdeWnXb6htTKQ4AWLcEJGBNmpmZ6aCDDuov//Iv57R/4Qtf6MlPfnI5\nRRgA2A3sYAAAAIwEJAAAgJGABAAAMBKQAAAARgISAADASEACAAAYCUgAAAAjAQkAAGAkIAEA\nAIwEJAAAgJGABAAAMBKQAAAARgISAADASEACAAAYCUgAAAAjAQkAAGC0lID0U9UrF7G8L1YP\n3+WKAAAApmQpAeku1f120ueW1eHV3Xa5IgAAgCnZZxF9/nX8e4fqsInn822q7lztX12+/NIA\nAABW12IC0rur76vuWt2iOmkHfa+sXl/91fJLAwAAWF2LCUi/M/49vfqRdhyQAAAA9liLCUiz\nzqzevLsKAQAAmLalBKSvjNOR1YnVwQ3XHS3kU+MEAACwx1hKQKr6g+pZ7Xz0u+c3nJIHAACw\nx1hKQLpP9evVJ6p3VZdVW7fTd3sj3QEAAKxZSw1IX2oY0e6G3VMOrAnHVt+5QPvtVrkOAABW\n2VIC0gHV+QlHrH+v3X///U/eb7/95jRec801UyoHAIDVspSA9LHqlxsGZpjZPeXAmrD3k570\npB7/+MfPaXzSk540pXIAAFgtOxtsYdI/NYSkF1X775ZqAAAApmgpR5AeUF1c/Vz1xOrc6hvb\n6fu2cQIAANhjLCUgPahhiO+qQ6r/uoO+/y8BCdi9Dq1umte2ubpqCrUAAOvEUgLSn1SvrbYs\nou+Vu1YOwI5dfvnlsw8vWGD2THVSdd6qFQQArCtLCUiXjRPA1Fx//fVVvehFL+rggw/+dvvM\nzEy/9Eu/tKnhCDcAwC5ZSkC60zjtzN7Vl6vP7VJFAItwzDHHdOihh377+dat27tvNQDA4i0l\nID2lOm2RfZ9fnb7kagAAAKZoKQHpQ9ULtjPvttV9qjtXv1u9f5l1AQAArLqlBKQPjNOO/Gr1\n2Oolu1wRrJ53Vccv0H671S4EAIC1YSkBaTH+uHpq9ZDqPSu8bFhpP/CoRz3qsGOPPXZO4xln\nnDGlcgAAmLaVDkhVX6hOTEBiD3Dve9+7k08+eU7bK17xiilVAwDAtO21wss7tLpH9a0VXi4A\nAMBut5QjSKeO00I2VbeuHlzdpvrwMusCWJKZmZnZh2dXm+fN3lo9oXrvatYEAOx5lhKQ7tcw\nCMOOXFn9WnX+LlcEsAw/8zM/c/DRRx89p+2MM87osssuW8x93ACADW4pAenM6qztzJuprq4u\nqm5ablEAu+qkk07qxBNPnNP2mte8ZkrVAAB7mqUEpK+MEwAAwLq0K6PYHVk9seHGsIePbV+t\n/rl6Q/XNlSkNAABgdS01ID28emN18ALzfqJ6XvXo6iPLrAsAAGDVLWWY70MajhBdUz29+t7q\niHG6e/Wsau/qLdUBK1smAADA7reUI0j/teE+R/euPjZv3ter86oPVR+tHlq9cyUKBAAAWC1L\nOYJ0l4ZrjeaHo0n/X/XF6ruWUxQAAMA0LCUgbaluuchlbt21cgAAAKZnKQHp/IbrkB6zgz7/\ntbpDbhQLAADsgZZyDdI/VJ9rGKjhzOoDDfdF2lTdrnpw9XPVZ6v3rWyZK+ZWDaf/Hd4wkMR1\nDacNfqa6dop1AQAAa8BSAtJN1aOqv61+dZzm+3T1I2PfteTh1XOqH2gYaW++mxoC4Auqf1nF\nugAAgDVkqfdB+lR1QvWw6v7VUdVMw1GYc6r3VptXssAV8D+qF1Y3VO9vOP3v0vH5/g03vj2p\n4fTAU6ufr/5sKpUCAABTtZSAtKkhDN1UvWOcZu3XEIzW2uAMd65+t+F0wJ9sGI58R33fXL2s\n+ruG0AcAAGwgix2k4T4N9ze67XbmP6P6YHXMShS1gh7acErdk9txOKr6fPWkhmuTfng31wUA\nAKxBiwlId284AnOv6uTt9Dm04fqeDzQMgLBW3LrhiNcXF9n/goajYEfstooAAIA1azEB6TXV\nLaqfqN6+nT7/s+Hoyx0bTlFbK75a7dtw3dRi3LNhm3xlt1UEAACsWTsLSN/bcOToZdVf76Tv\nX1Z/Xv1oQ1BaC/6uYSjvN1TH76Tvfau/qq6qzt7NdQEAAGvQzgLSPca/b1jk8v6s4Zqf++9y\nRSvra9XTGoLe+Q3DkL+lekX1x9UrG46Kfa761+ro6meqb0yhVmA3ufTSS2u4f9vMAtMzp1cZ\nALDW7GwUu6PGvxctcnmfG//eadfK2S3+vDqvelbDUN6PXaDPf1avrl7UcKNbYB3ZsmVLP/Zj\nP9Z973vfOe2vfe1r+9SnPnXUdl4GAGxAOwtIszd83X+Ryztw/HvtrpWz23y8esL4+IiGgSQO\nqK5vCEeXTqkuYJUcffTR3ete95rT9ra3vW1K1QAAa9XOTrH7/Pj3fotc3gPHv1/YpWp2v1s1\nnEY3O92p4XqpW06zKAAAYG3Y2RGkf6puqJ5bvbNtR5QWckj1G9W3qvevRHEr6OHVcxqGIt97\ngfk3Vf9QvaD6l1WsCwAAWEN2FpCuqP60+pXqb6qfrS5boN+xDSPA3aUhZFy3gjUu1/+oXtgQ\n9N7fMFjDpePz/asjq5Mark86tfr5hsEmAACADWZnAamGgHHv6tHVg6uzqnOrqxtuxHrfhnCx\nd8NRmNN3R6G76M7V7zbcwPYnq6/vpO+bG4Y0/7uGeygBAAAbyGIC0nXVD1a/0zBk9n8bp0mX\nVi+p/qDaspIFLtNDG4Lbk9txOKrheqsnNQwF/sMt/yjSnVrc9q263TLfi+07oCHwHrzAvIXa\nAADYwBa7Az97HdLvNFzHc9eGEesubRgC/MOtrWA069YN1xd9cZH9L6i2Nox0txzHVBdWm5b4\nuqX2Z+duVT3wcY97XIceeuicGa961aumUxEAAGvWYgPSrGuqvx+nPcFXq32rExquPdqZezaM\n7PeVZb7v56pDW3hAiIXcp3pPw00r2Q0e9rCHdfTRR89pe/WrXz2lagAAWKuWGpD2NH/XcIrg\nGxrug/SpHfS9b/W66qrq7BV47yuX0PeqFXg/AABgmdZ7QPpaw3VTr244gvSZto1id2PDKHZH\nVCc2jMB3Q/X46hvTKBYAAJiu9R6Qqv68Oq96VsNoe49doM9/NoSoF1WfXbXKAACANWUjBKSq\njzecYlfDEaPDG0Y3u74hHF06pboAAIA1ZKMEpElfG6dJj2kYavuM1S8HAABYK/aadgFrxMOq\nn5l2EQAAwHSt9yNIjxqnnTm5uk3DdUhV7xwnAABgA1nvAeme1c8uof9s3y8nIAEAwIaz3k+x\ne2d1QcNgDC+pjqoOW2B6fXXuxPP/PY1iAQCA6VrvAenj1d0bhu9+evWh6h7VN+dNN1ZbJp5f\nP41iAQCA6VrvAamGm7/+dkMw+kb1geo1DUeKAAAAvm29X4M06fyGwRieVv1e9fDqV6u/nmZR\nwPRcddVVVfepnrvA7A9W/7qqBQEAU7eRAlLV1oZ7Hf1t9fLqTdXjp1oRMDWXXHJJhx122ANu\ne9vbPmCy/dJLL+2KK654Z/XoKZUGAEzJRgtIs77cMPz346qXVkdWH5tqRcBUPOQhD+mpT33q\nnLbf//3f773vfe9dW/jI0gUNP7IAAOvQRg1Is/6m+ofqV6pvTbkWYI24+OKLO+SQQ7772GOP\nnTOi5Te+8Y2+8IUvfDYBCQDWrY0ekGoYte53pl0EsLYcf/zxveAFL5jTdvbZZ/fiF79405RK\nAgBWwUYYxQ4AAGBRBCQAAICRgAQAADASkAAAAEYCEgAAwEhAAgAAGAlIAAAAIwEJAABgJCAB\nAACMBCQAAICRgAQAADASkAAAAEYCEgAAwEhAAgAAGAlIAAAAIwEJAABgJCABAACMBCQAAICR\ngAQAADASkAAAAEYCEgAAwEhAAgAAGAlIAAAAIwEJAABgJCABAACMBCQAAICRgAQAADASkAAA\nAEYCEgAAwEhAAgAAGAlIAAAAIwEJAABgJCABAACMBCQAAICRgAQAADDaZ9oFAOwprrjiiqrD\nqz9dYPbXq99a1YIAgBUnIAEs0pe+9KVucYtbHHKf+9znFybbv/Wtb3XuuedWnVZtnUpxAMCK\nEJAAluA2t7lNp5122py28847r2c84xlTqggAWEmuQQIAABgJSAAAACMBCQAAYCQgAQAAjAzS\nALBMN9100+zDn69m5s2+sXpDtXk1awIAdo2ABLBMX/rSl6o67rjjXjnZvnnz5i666KKqf60+\ns/qVAQBLJSABLNPMzHDQ6BWveEWbNm36dvsVV1zRYx/72KpNC78SAFhrXIMEAAAwEpAAAABG\nAhIAAMBIQAIAABgJSAAAACMBCQAAYGSYb9aLvaoHdPPP9KFTqAUAgD2UgMR6cb/qHw8++OA5\njVu2bOnaa6+dTkUAAOxxBCTWi32q/vZv/3bOjTovvvjinvKUp0ytKDa2G264YfbhpxaYvbk6\npfqXVSsIANgpAQlgN7n++uurevazn90RRxwxZ95v//Zv73PdddcdsdDrAIDpEZAAdrMTTjih\no48+ek7bPvv45xcA1iKj2AEAAIwEJAAAgJGABAAAMBKQAAAARgISAADASEACAAAYCUgAAAAj\nAQkAAGAkIAEAAIwEJAAAgJGABAAAMBKQAAAARgISAADASEACAAAYCUgAAAAjAQkAAGAkIAEA\nAIwEJAAAgJGABAAAMBKQAAAARgISAADASEACAAAYCUgAAAAjAQkAAGAkIAEAAIwEJAAAgJGA\nBAAAMBKQAAAARgISAADASEACAAAYCUgAAAAjAQkAAGAkIAEAAIwEJAAAgJGABAAAMBKQAAAA\nRgISAADASEACAAAY7TPtAgA2opmZmapjqnvNn1WdX92w2jUBAAISwFRcc801VS/azuxfq/7P\n6lUDAMwSkACm5Dd+4ze63/3uN6ftOc95ThdccMEBUyoJADa8jRSQHlQ9rDqhOrw6oLqu+mp1\nXvXO6t+mVh2w4dziFrfo4IMPntO29957T6kaAKA2RkA6uvqb6vsm2m5sOL9//+re1SOr36ze\nUz2xumyVawTYmd+snrWdee+onryKtQDAurXeA9K+1buru1YvaQhK51dXTvQ5rDqpIRg9uXpX\ndXK1dVUrBdixY0866aTDHv3oR89p/PCHP9z73//+u02pJgBYd9Z7QHpodXz1U9Xrt9Pniuof\nx+nc6qXVA6sPrEJ9AIt25JFHdsopp8xpu+SSS6ZUDQCsT+s9IB1fbaneuMj+r6r+uLpHAtJa\ndUL1W938Hl63nUItAACsM+s9IG1p2JHet9q8iP77Vpsa7kPC2nT/Aw888L896EEPmtP4+c9/\nvvPPP39KJQEAsF6s94D0sYbA87TqxYvo/+zxr9Hs1rDDDjusZz7zmXPa3v72twtIAAAs23oP\nSOdU/1z9YXXf6q0NgzRc2jCS3f7VEdWJ1eOrU6u/H18DAABsMOs9IG2tHlW9unrcOO2o759X\nT88pdgAAsCGt94BUdXn1mIahvk9tGLhh9kax11f/WX2iOrv60pRqBAAA1oCNEJBmXThOAAAA\nC9pIAelB1cMahomePYJ0XfXV6rzqnRmcAQAANrSNEJCOrv6m+r6JthurGxoGabh39cjqN6v3\nVE+sLlvlGgGq2rJlS9Xtq3vNm3Wb1a8GADae9R6Q9q3e3XD90UsagtL51ZUTfQ6rTmoIRk+u\n3lWd3DBoA8Cq+vKXv1zDYDFPn3IpALAhrfeA9NCGQRl+qnr9dvpcUf3jOJ1bvbR6YPWBVagP\nYI6tW7f2Uz/1Uz32sY+d0/7Upz51ShUBwMay3gPS8dWW6o2L7P+q6o+re7S8gHSr6jktfvve\nfhnvBawz++23XwcffPCctr322mtK1QDAxrLeA9KWaq+GU+02L6L/vtWmln8fpP2ru7T47Tt7\nbcGmZb4vAACwDOs9IH2sIXQ8rXrxIvo/e/y73NHsLq0ev4T+969+MDeoBQCAqVrvAemc6p+r\nP6zuW721YZCGSxtGstu/OqI6sSHQnFr9/fgaAABgg1nvAWlr9ajq1dXjxmlHff+8YeQoR3IA\nAGADWu8Bqery6jENQ32f2jBww+yNYq+v/rP6RHV29aUp1QgAAKwBGyEgzbpwnAAAABa0UQLS\nrasHVQdVH6k+s51++zYM9f234wSwpl133XU1HBX/hQVmX1S9b1ULAoA93EYISI9ouA/SQRNt\nb6x+sbpqXt+9q5+uLk5AAvYAF154Yfvtt98xt7nNbf50sv3666/viiuu+EZ12ymVBgB7pPUe\nkA5sOCK0b/Wy6nPV/aqfrL6rYWjtb06tOoBlmpmZ6dhjj+2MM86Y037OOed02mmnubssACzR\neg9ID6mObBjC+40T7X9dva56x9jnxtUvDQAAWGvW+6+Ld2kYsnv+6XJvaziKdHJ15moXBQAA\nrE3rPSDdUG2q9ltg3ruqZzdcc/S81SwKAABYm9Z7QPrk+PfntjP/JQ3XKP2v6tdXpSIAAGDN\nWu/XIH2w+mj1oup7G44UfXlen6eOf/+gevDqlQYAAKw16/0IUtWPVf/RcCrdkQvM39pw/5D/\n2XCvJAAAYIPaCAHpi9W9qv9SfXYH/V5YfXf1W9U/7f6yAACAtWa9n2I3a2v14UX0+1z1u7u5\nFgAAYI3aKAEJYEO55JJLqg6rLl9g9reqE6prV7MmANgTCEisVQ+onrBA+3etdiGwJ7ryyis7\n4IADNj33uc89bLL90ksv7eUvf/lh1UEJSABwMwISa9UjDz/88F+4z33uM6fx3HPPnVI5sOfZ\nd999O+WUU+a0feELX5hSNQCwZxCQWLOOOeaYnvnMZ85pe+ELX9inP/3pKVUEAMB6txFGsQMA\nAFgUAQkAAGAkIAEAAIwEJAAAgJGABAAAMBKQAAAARgISAADASEACAAAYuVEswAayefPm2YfP\nq66dN/uG6g+rq1azJgBYSwQkgA3k61//elUnnnjif993332/3T4zM9PHP/7xqn+oPjyV4gBg\nDRCQADag008/vUMPPfTbz7du3dqDH/zgqk1TKwoA1gDXIAEAAIwEJAAAgJGABAAAMBKQAAAA\nRv9/e/cfJldZ3338vclmd5PssokhkIAJEDCE2qb8ppiqQECKMYhGwB88D0qDxUqFS2y1xV4s\nD7VYQFogPg9UEI1YK6ViLFKUIi15KngpAaMiK78CaPglBLK7STbZ3ekf9z3szNkzm012Zs7O\nzPt1XXOdzH3OnP3OOZkfn7nPuY8BSZIkSZIiA5IkSZIkRQYkSZIkSYoMSJIkSZIUGZAkSZIk\nKTIgSZIkSVJkQJIkSZKkyIAkSZIkSZEBSZIkSZIiA5IkSZIkRQYkSZIkSYoMSJIkSZIUGZAk\nSZIkKTIgSZIkSVJkQJIkSZKkyIAkSZIkSZEBSZIkSZIiA5IkSZIkRc1ZFyBJmlCuBl5NtA0A\nfwk8XP1yJEmqLgOSJIlcLgfA0qVLj9xrr72K5t1xxx309PR8CwOSJKkBGJAkSa9bvnw5ixcv\nLmq777776OnpmQbMTHnIZmCwGrVJklQNnoMkSRrVSy+9BPAPwCspt4uzq0ySpPKzB0mSNKqh\noSFWrlzJ8ccfX9R+1VVX8dBDD3VkVJYkSRVhQJIk7VRnZydz584tamtra8uoGkmSKsdD7CRJ\nkiQpMiBJkiRJUmRAkiRJkqTIgCRJkiRJkQFJkiRJkiIDkiRJkiRFBiRJkiRJigxIkiRJkhR5\noVhJ0m7ZunUrwMHA6Smz1wPdVS1IkqQyMCBJknbL008/TUtLy/LW1tblhe39/f1s3759DXBa\nRqVJkrTbDEjK2s3Ah7MuQtLuOe200zjvvPOK2q6//npuvfVWD+GWJNUkA5KytudJJ53EihUr\nihovv/zyjMqRJElSIzMgKXMzZ85k4cKFRW1tbW0ZVSNJkqRG5iEQkiRJkhQZkCRJkiQp8hA7\nSVJZPfPMMwBvA36SMvvHwMeqWpAkSbvAgCRJKqtNmzYxf/78zpNPPvmIwvZHH32UtWvX7pFV\nXZIkjYUBSZJUdvvuuy8f+MAHitq++93vsnbt2owqkiRpbDwHSZIkSZIiA5IkSZIkRQYkSZIk\nSYoMSJIkSZIUGZAkSZIkKTIgSZIkSVJkQJIkSZKkyOsgSZKqor+/H6AdOD0xax5wBTA55WHb\ngAOBjRUtTpKkyIAkSaqKxx57jObm5rmzZ8++tbC9r6+PzZs3c+WVVxYt39vby6WXXtoGdGJA\nkiRViQFJklQVQ0NDzJkzh9WrVxe133777Vx33XUcfvjhNDU1vd6+adOmapcoSZLnIEmSJElS\nngFJkiRJkiIDkiRJkiRFBiRJkiRJihykQZI00b0ZmJZoGwDWA7nqlyNJqmcGJEnShNTX15f/\n57+UWOQU4K7qVCNJahQGJEnShDQwMADAqlWrmDdvXtG8D33oQ/T29k7Noi5JUn0zIEmSJrTp\n06fT0dFR1FZ4vSRJksrJgCRJqif7AweVmLceeLF6pUiSapEBSZJUT1YDby0x70bg3CrWIkmq\nQQYkSVI9aV65ciUf/OAHixqvuOIK7rrrLj/zJEk75XWQJEmSJCny1zRVy5HAASntc6tdiCRJ\nklSKAUnV8rXW1tZFLS0tRY29vb0ZlSNJkiSNZEBStUw+//zzWbZsWVHjihUrMipHkiRJGsmA\nJEmqVe3AzESbn2uSpHHxg0SSVHP6+vogDOk9XvOAU0rM+w3w3TL8DUlSDTEgSZJqTi6X47zz\nzuPQQw8tar/wwgt3dVUfbGtr+/z8+fOLGnt7e9m4cePLwJ7jKlSSVHMMSJKkmrTPPvuwcOHC\norampqZdXc2kBQsWsGrVqqLGtWvXcskll+zyyiRJtc/rIEmSJElSZECSJEmSpMhD7CRJdW9g\nYABgFnBEYta+1a9GkjSRGZAkSXWvu7sbYHm8SZJUkgFJklT3hoaGOOGEE7jggguK2ru6uujv\n709dnvAZeWLK6jYBD1agTEnSBGBAkiQ1hJaWFjo6OorampubUwPS448/DrAHcHfKqnKEw/U2\nlb9KSVLWDEiSJCUMDg7S0dHBmjVritrXr1/PhRde2AQ8SQhKhXYAbwV+VZ0qJUmVYECSJGmM\n+vr6ALjoootmtLe3v94+NDTEZZddBrA3BiRJqmkGJEmSdtGSJUuYMWPG6/cLApIkqcYZkFRu\n1xF+QU2aW+1CJEmSpF1lQFI5TQLOP/bYY5k1a1bRjDvvvDObiiRJkqRdYEBS2Z155pksXry4\nqO2uu+7KqBpJmrD+BHhfiXm3ATdUsRZJUmRAkiQpG+9atGjRiYcddlhR47p16+ju7t6KAUmS\nMmFAkiSpfK4GXk20vQl4AdicaD908eLFnHvuuUWN119/Pd3d3ZWrUJI0KgOSJEnjlMuFSyIt\nX778yDlz5hTNu+mmm1iyZMl+ixYtKmq/5ZZbqlafJGnsDEiSJJXJ0qVLR5yDefPNN3P00Uez\nbNmyovbbbrstdR1DQ0MA04AFKbNfYWQPlSSpjAxIkiRNII888gjAUuCJlNk/BQ6takGS1GAM\nSJIkTSCDg4McdthhfOpTnypqv/fee7nxxhunZVSWJDWMRgxITcB0oA3YCvRlW05NagU+TTgE\npFBTBrVIUt1pa2tj7tzi62t3dnZmVI0kNZZGCUhzgI8B7wR+h+Iv9j3AemANYUjV5ChDjWwy\nsJhwAdhCC4BLFy9ezJQpU15vzOVyrFu3rorlSZIIP079PuE9u1Ar8GVgyohHwCBwJvBQZUuT\npNrTCAHpHYQL7nUQeou6gZeAfsKHxxzgKGAJcBGwHPhxJpVOPH8E3FFqZldXFzNmzHj9/uDg\nICeddFI16pIkDTsGuL/UzLPPPptZs2YVtX3xi1+kv79/fwxIkjRCvQekGcA/E0b8OQu4ExhI\nWa4NOJ1w/YrbgYOpz0Pv9iL0CKV5HNiQaGvp6OhgzZo1RY33338/F198cfmrkySVNDAwAOEI\niBMTs34P4J577qGpafhI5w0bNnDOOedw3HHHsd9++xU94JprrgFYDexIrCtHOOLi1nGW2wy8\nlZG9WgCvkf5D5KHAnintQ8APgW3jrKkNeAsjj4oA+C3w8DjXL6lO1HtAWgbMJBxa98Aoy20D\nvgY8D3wfOIXQ61RvPgesLDHveeA7ibb9K1qNJGnM4sVj9wXuHu+6hoaGOOOMM9oPOeSQovZr\nr72WTZs2XUQYRS/p28C/J9oOA85LWXY+4SiEUmYRhizPayKEplLfSz4CfCXR9j4g7bCFOYQg\n+WSifSFwXIn1DwAthICYNxn4O8IRKElDhM/UX5dYX6VMAy4nhL2kw4FfEI6QKZQj/AD8q8qW\nNsJE3H717sPAsSXmpb1+VUITw28GlwJd2ZVSEX9JeF4tY1x+MrAduBj4/Dj+7gHAjxh7AG0m\nvIG0MPLXvHK6sbm5+Y+nTp1a1Lh169b8L5MjNDU10d7eXtQ2MDDA1q1baW9vL/q1EqCnp4dp\n06YxefLkEe2tra20tBTvit7eXqZMmUJra2tR+5YtW2hqaiKt1sHBwRE17dixg23bttHRUfw+\nPDg4yJYtW0rWNHXqVJqbi3dTb28vLS0tI2rt6+tj0qRJqTXlcjmmTSses6K/v58dO3a4/SK3\nn9vP7Vcb2y9/0dsU/cCWRFsbMDVl2VE/PwhHdiT/0MxStRKO6tieWL6d9POrStpJTZuSixOO\nRCmll5Gf2dNjW7LWfKBJ9oK1EJ5D8qiVyYQw1JPSvscoNZWStv2mEc5FSwaqVkIv29ZE+5Q4\nrzfRPomwL5LncE/E7ddE+L6Vdr75HrGmoUR7O2EbJWut9PbL19TDyNdKB+G1OJjSXuq7502U\n/pFcQRdwCdR/QPo4sArYG3hxDMu/EXg2Pu7/juPvTgLextgDUhPh8Levj+NvjsVc4M0p7dOB\nTmBjor0ZmAc8lfKYNwGPpbQfSPjVLvling+8wMg3kr0Jb3ivJdo7CW8kyf3WGh/zTKK9iTB4\nRNp1Qw4iHEKYdABhfyfT4T6xnuQb7hvi9JVEu9uvmNuvmNtvmNuvmNuvUj3rAQAAD85JREFU\nmNtvmNuvmNuv2K5uPwi9i8+ltGtYFzEgQfiPkKP+whGEEetyhOCxs16k6YSR7IYI3fCSJEmS\nGkMXMRfV+zlIjxB6gv4UeDvwb4QE/RKh+zaf5hcDpxJODr2c6h+nK0mSJGmCqOceJAhdl58g\ndEXmRrn9Cjg7oxolSZIkZaeLBulBgvBErwWuA36XcNjdXoQT/rYRRm/7GfBoVgVKkiRJmhga\nISDl5QhB6GdZFyJJkiRpYkq7WJokSZIkNSQDkiRJkiRFBiRJkiRJigxIkiRJkhQZkCRJkiQp\nMiBJkiRJUmRAkiRJkqTIgCRJkiRJkQFJkiRJkiIDkiRJkiRFBiRJkiRJigxIkiRJkhQZkCRJ\nkiQpMiBJkiRJUmRAkiRJkqTIgCRJkiRJUXPWBaiuNAEDGLwlSZImkgeAY7MuolYYkFROTYRw\n9FFgXca1qPJ+AFwG3Jt1Iaq4bwFfA27PuhBV3JeBtcDNWReiivt7YANwTcZ1qPIuAXqyLqKW\nGJBUCd3Ag1kXoYobBJ7Afd0I+oGncV83gj7gN7ivG8FrwAu4rxvBy1kXUGs8FEqSJEmSIgOS\nJEmSJEUGJEmSJEmKDEiSJEmSFBmQJEmSJCkyIEmSJElSZECSJEmSpMiAJEmSJEmRAUmSJEmS\nouasC1BdyQE7gO1ZF6Kq2I77ulG4rxuH+7pxuK8bh/t5N+TirSvjOlQfDgCasi5CVbEfMDnr\nIlQV84ApWRehqpgLTM26CFXFbKAj6yJUFTPjTaPrIuYie5BUbk9lXYCq5umsC1DVPJt1Aaqa\n57IuQFXzUtYFqGo2ZV1ArfEcJEmSJEmKDEiSJEmSFBmQJEmSJCkyIEmSJElSZECSJEmSpMiA\nJEmSJEmRAUmSJEmSIgOSJEmSJEUGJEmSJEmKDEiSJEmSFBmQJEmSJCkyIEmSJElSZECSJEmS\npMiAJEmSJElRc9YFqG61AgfG6ZPAa9mWozLbE1gA9AO/BLZnW44qqJPwWt4KPAVsy7YcVUEz\nsISwr3+UcS2qnAXAXsBvgGczrkWVM52wrycR3sM3Z1tO7cjFW1fGdag+tAFXEL5M5Qpua4D9\nsytLZbIn8K/AIMP7dhPwZ1kWpYqYD9xG8eu4H7gamJZhXaq8vyDs78ezLkQVcRjwEMWv7R8S\nvkSrfswGbgIGKN7Xt+O+LqWL4e1kQFJZfZ3w/+k7wKnAHwE3xLbHgJbsStM4NQFrCeHoKuBt\nwPLYlgM+kl1pKrM9CD2DA8AXgHcA7wH+k7CvV2dWmSrtQGALBqR6dQDwCvAc8MfAHwKfJPyo\n+Ss8sqheTAJ+Qvi8/gtgIeG1/THCD10b8IeuNF0YkFQBiwj/l+4lfJku9K047+RqF6WyWU7Y\nh19ItE8Hfk04TGNytYtSRZxH+ufCVMK+3kHY76o//wE8AfwcA1I9+gbhh4/FifZzgW9iz0K9\nOIbwHv6NlHnXxXnvrmpFtaGLmIscpEHllP+l4rPE9F3g/8fpPlWtSOX0njj9x0R7H/BPhH17\nbFUrUqU8ClwMfCnRvhVYR/iVea9qF6WK+zCwFLiA8CVa9aWD8D7+b8D6xLwvAWcSzhlW7WuP\n0w0p8zYkllEJ9iCpGq4l/D/7w6wL0W5bB/SUmHcGYf+eX71ylJGfAr2E8w1VP2YDLwP/HO8/\njD1I9eYEwvv0J+L9xcBphMOlW7MqShUxi/Dj5QOMPKLnXwk/gBxY7aJqQBcxF3msqaphEeH8\nlHXAf2dci3bfGwnHrafZGKfzqlSLsnEW4UvVP+BodvXmGsIXqQuyLkQVc1CcbiOcO1r4g+Vz\nwP8C7ql2UaqIlwmv5RuAu4FbCaHoJEIv4mcIh9JqFPYgqZLmA92Ekc4WZVyLxqeXkYdl5B1B\neB9ZVb1yVGUnEE7efxBP7q03pxBev+cUtNmDVH/yoxO+RDgP5SBgb+BswqU4eoD9MqtO5dYK\nfI7iUWdzhNA0K8O6JrIuHKRBu+kywvkJhbdS550cRfhV6gXg8KpUp0p6FXikxLz8CaFXV68c\nVdE5hGtdPYAfrPVmOuGchHsT7Qak+pMPSN9Pmfencd7nqlqRKqWZ0EvYQ3j/nkO4TMd7CQMq\nPRHvq1gXDtKg3bQZeD5xS7tI6PuB+wjdvMcQDq9TbXsZmFli3hvi9JUq1aLqmEQY0v0mwrXM\njif8P1D9+BvCgBsfzboQVVz+AqH3pcz7Xpz+fpVqUWWdRTiE8hLgy4Tvar8ljCh8PmG0wgsz\nq64GeA6SdtWV8Taa/w18hfAr1emUPrFftaWbcF2rTsLhGIUOidNfVrUiVdoNwErgb0kfnVK1\n7c2EE/a/R/gh65iCeTMJh+icRTgk63sjHq1a0x2nnSnztsSpl2qoD0fG6QMp8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      "text/plain": [
       "Plot with title “'recover' dimension histogram”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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MHE/X+xyLSW67oNv9bOPd8lDcv/j9v9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\nSZKkHsNT7CRJkiQp+m/UROtbluSx9AAAAABJRU5ErkJggg==",
      "text/plain": [
       "Plot with title “'adaptive_capacity' dimension histogram”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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i21m++F3uPkdjL///HsiXGTv/xv9GfP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",
      "text/plain": [
       "Plot with title “'enhanced_exposure' dimension histogram”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Histogram visualisation of dimension z-scores\n",
    "for( current_dimension in dimensions ){\n",
    "    dimension_scores_filtered <- dimension_scores[,current_dimension] \n",
    "    dimension_scores_filtered[dimension_scores_filtered == \"NaN\"] <- 0\n",
    "   \n",
    "    title <- paste(\"'\", current_dimension, \"' dimension histogram\", sep = \"\")\n",
    "    x_label <- paste(\"'\", current_dimension, \"' z-score\", sep = \"\")\n",
    "    y_label <- paste(\"Count\", sep = \"\")\n",
    "    hist(dimension_scores_filtered, breaks=\"FD\", col=\"grey\", labels=FALSE, main=title, xlab=x_label, ylab=y_label)\n",
    "    box(\"figure\", lwd = 4)\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "23966ae2-de19-447d-8cbd-c11cba8bd9f6",
   "metadata": {},
   "source": [
    "## Calculate vulnerability score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "a5e64f50-a1d1-47f0-b91c-7da96a9b380e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 2</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>SA_GUID__1</th><th scope=col>social_vulnerability</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl[,1]&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>1</th><td>000581a3-4ebd-4a74-b5f8-0bd78cd7ede5</td><td>-0.33398100</td></tr>\n",
       "\t<tr><th scope=row>2</th><td>00275248-3d78-4fdb-8e5c-8ff1f76aebea</td><td>-0.93275401</td></tr>\n",
       "\t<tr><th scope=row>3</th><td>002b83e4-5cce-414a-8570-871a50ae0964</td><td> 1.13569837</td></tr>\n",
       "\t<tr><th scope=row>4</th><td>005eec3f-d746-480f-ae2c-bc6f1151548d</td><td> 1.02930797</td></tr>\n",
       "\t<tr><th scope=row>5</th><td>00b00ae4-229d-455d-84f1-d6face4876b1</td><td> 0.19607516</td></tr>\n",
       "\t<tr><th scope=row>6</th><td>00df2b78-66c8-4009-89e0-0e14e15e4208</td><td>-0.09735021</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 2\n",
       "\\begin{tabular}{r|ll}\n",
       "  & SA\\_GUID\\_\\_1 & social\\_vulnerability\\\\\n",
       "  & <chr> & <dbl{[},1{]}>\\\\\n",
       "\\hline\n",
       "\t1 & 000581a3-4ebd-4a74-b5f8-0bd78cd7ede5 & -0.33398100\\\\\n",
       "\t2 & 00275248-3d78-4fdb-8e5c-8ff1f76aebea & -0.93275401\\\\\n",
       "\t3 & 002b83e4-5cce-414a-8570-871a50ae0964 &  1.13569837\\\\\n",
       "\t4 & 005eec3f-d746-480f-ae2c-bc6f1151548d &  1.02930797\\\\\n",
       "\t5 & 00b00ae4-229d-455d-84f1-d6face4876b1 &  0.19607516\\\\\n",
       "\t6 & 00df2b78-66c8-4009-89e0-0e14e15e4208 & -0.09735021\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 2\n",
       "\n",
       "| <!--/--> | SA_GUID__1 &lt;chr&gt; | social_vulnerability &lt;dbl[,1]&gt; |\n",
       "|---|---|---|\n",
       "| 1 | 000581a3-4ebd-4a74-b5f8-0bd78cd7ede5 | -0.33398100 |\n",
       "| 2 | 00275248-3d78-4fdb-8e5c-8ff1f76aebea | -0.93275401 |\n",
       "| 3 | 002b83e4-5cce-414a-8570-871a50ae0964 |  1.13569837 |\n",
       "| 4 | 005eec3f-d746-480f-ae2c-bc6f1151548d |  1.02930797 |\n",
       "| 5 | 00b00ae4-229d-455d-84f1-d6face4876b1 |  0.19607516 |\n",
       "| 6 | 00df2b78-66c8-4009-89e0-0e14e15e4208 | -0.09735021 |\n",
       "\n"
      ],
      "text/plain": [
       "  SA_GUID__1                           social_vulnerability\n",
       "1 000581a3-4ebd-4a74-b5f8-0bd78cd7ede5 -0.33398100         \n",
       "2 00275248-3d78-4fdb-8e5c-8ff1f76aebea -0.93275401         \n",
       "3 002b83e4-5cce-414a-8570-871a50ae0964  1.13569837         \n",
       "4 005eec3f-d746-480f-ae2c-bc6f1151548d  1.02930797         \n",
       "5 00b00ae4-229d-455d-84f1-d6face4876b1  0.19607516         \n",
       "6 00df2b78-66c8-4009-89e0-0e14e15e4208 -0.09735021         "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Initialise the vulnerability score dataset with the GUID\n",
    "vulnerability_scores <- domain_scores %>% select(all_of(GUID))\n",
    "\n",
    "#sum the domains to create a total overall score of vulnerability\n",
    "vulnerability_scores$social_vulnerability <- rowSums(domain_scores[2:(ncol(domain_scores))], na.rm = TRUE)\n",
    "\n",
    "# generate z-scores with the scale function in order to standardise the vulnerability data\n",
    "vulnerability_scores <- vulnerability_scores %>% mutate_if(is.numeric, scale)\n",
    "\n",
    "# Print the first part of the vulnerability scores, which are now collated into one table\n",
    "head(vulnerability_scores)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "0a6ad33d-3988-4166-b078-9734c25f180d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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3zvX/1NdXz1mupB1e0bgtHtxq+HVw+r3lQ9sjqr2X9dAACABcz6HqRTGpoy/HT1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\nSvEAAAAASUVORK5CYII=",
      "text/plain": [
       "Plot with title “'Vulnerability' histogram”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Histogram visualisation of Vulnerability z-scores\n",
    "title <- paste(\"'Vulnerability' histogram\", sep = \"\")\n",
    "x_label <- paste(\"'Vulnerability' z-score\", sep = \"\")\n",
    "y_label <- paste(\"Count\", sep = \"\")\n",
    "hist(vulnerability_scores$social_vulnerability, breaks=\"FD\", col=\"grey\", labels=FALSE, main=title, xlab=x_label, ylab=y_label)\n",
    "box(\"figure\", lwd = 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "26307191-f418-4f79-a734-637fe8e70cc8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 46</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>SA_GUID__1</th><th scope=col>early_childhood</th><th scope=col>age_middle_to_oldest_old</th><th scope=col>poor_health</th><th scope=col>disability</th><th scope=col>one_parent_households</th><th scope=col>three_or_more_children_households</th><th scope=col>low_skilled_employment</th><th scope=col>farmers</th><th scope=col>unemployment</th><th scope=col>⋯</th><th scope=col>social_network</th><th scope=col>housing_characteristics</th><th scope=col>physical_environment</th><th scope=col>sensitivity</th><th scope=col>prepare</th><th scope=col>respond</th><th scope=col>recover</th><th scope=col>adaptive_capacity</th><th scope=col>enhanced_exposure</th><th scope=col>social_vulnerability</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>⋯</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl[,1]&gt;</th><th scope=col>&lt;dbl[,1]&gt;</th><th scope=col>&lt;dbl[,1]&gt;</th><th scope=col>&lt;dbl[,1]&gt;</th><th scope=col>&lt;dbl[,1]&gt;</th><th scope=col>&lt;dbl[,1]&gt;</th><th scope=col>&lt;dbl[,1]&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>1</th><td>000581a3-4ebd-4a74-b5f8-0bd78cd7ede5</td><td> 3.3880435</td><td>-0.8683184</td><td>-0.72494112</td><td>-0.92235833</td><td>-0.9537932</td><td>-0.28864382</td><td>-0.3191812</td><td>-0.5775435</td><td>-0.61650259</td><td>⋯</td><td>-0.76239614</td><td>-0.51537733</td><td> 0.2163239</td><td> 0.38290372</td><td>-0.4856123</td><td>-0.3377139</td><td>-1.3729086</td><td>-0.61316276</td><td>-0.3497016</td><td>-0.33398100</td></tr>\n",
       "\t<tr><th scope=row>2</th><td>00275248-3d78-4fdb-8e5c-8ff1f76aebea</td><td>-1.2041476</td><td> 1.0830212</td><td> 0.27801178</td><td>-0.62611003</td><td>-0.5813707</td><td> 0.24855343</td><td>-0.7175350</td><td> 0.2814244</td><td>-0.23523246</td><td>⋯</td><td>-0.08583099</td><td>-0.08272206</td><td>-0.1150856</td><td>-0.20594059</td><td>-1.0185818</td><td>-0.9052009</td><td>-0.5397312</td><td>-1.02866162</td><td>-0.2313086</td><td>-0.93275401</td></tr>\n",
       "\t<tr><th scope=row>3</th><td>002b83e4-5cce-414a-8570-871a50ae0964</td><td> 0.2940109</td><td>-0.6563918</td><td> 0.07647292</td><td> 0.06773408</td><td> 0.3083236</td><td>-0.06192013</td><td>-0.7370951</td><td>-0.1126775</td><td> 0.22240140</td><td>⋯</td><td>-0.01340725</td><td>-0.43095487</td><td> 0.3196619</td><td>-0.09575557</td><td> 1.3659655</td><td> 1.7874752</td><td>-0.1097374</td><td> 1.32022239</td><td>-0.1301417</td><td> 1.13569837</td></tr>\n",
       "\t<tr><th scope=row>4</th><td>005eec3f-d746-480f-ae2c-bc6f1151548d</td><td>-1.3337162</td><td> 1.4547264</td><td> 0.49313225</td><td> 0.45603900</td><td>-1.0918818</td><td>-1.18351563</td><td>-1.9157382</td><td>-0.5775435</td><td>-0.07660151</td><td>⋯</td><td> 0.14327742</td><td>-0.34810226</td><td> 0.6397246</td><td> 0.46969785</td><td> 1.3940082</td><td> 0.8307672</td><td>-0.3008060</td><td> 0.88678611</td><td> 0.3410119</td><td> 1.02930797</td></tr>\n",
       "\t<tr><th scope=row>5</th><td>00b00ae4-229d-455d-84f1-d6face4876b1</td><td> 1.7131001</td><td>-1.2060316</td><td>-0.32805634</td><td>-0.03080027</td><td> 3.2416831</td><td> 1.26642096</td><td> 1.5271694</td><td>-0.5775435</td><td> 0.75768133</td><td>⋯</td><td>-0.81129050</td><td>-0.57973227</td><td> 0.4764065</td><td> 0.06504954</td><td> 1.1356657</td><td>-0.5626938</td><td>-0.3603958</td><td> 0.06607222</td><td>-0.1208251</td><td> 0.19607516</td></tr>\n",
       "\t<tr><th scope=row>6</th><td>00df2b78-66c8-4009-89e0-0e14e15e4208</td><td> 1.5084163</td><td>-0.8589597</td><td>-1.03118100</td><td>-1.02730679</td><td>-0.4959203</td><td>-0.57201990</td><td> 0.4816479</td><td>-0.4599295</td><td>-0.97841257</td><td>⋯</td><td>-0.53257202</td><td>-0.50830359</td><td> 0.1858483</td><td>-0.61841747</td><td>-0.5434782</td><td> 0.5417954</td><td>-1.2756320</td><td> 0.04443066</td><td>-0.3770668</td><td>-0.09735021</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 46\n",
       "\\begin{tabular}{r|lllllllllllllllllllll}\n",
       "  & SA\\_GUID\\_\\_1 & early\\_childhood & age\\_middle\\_to\\_oldest\\_old & poor\\_health & disability & one\\_parent\\_households & three\\_or\\_more\\_children\\_households & low\\_skilled\\_employment & farmers & unemployment & ⋯ & social\\_network & housing\\_characteristics & physical\\_environment & sensitivity & prepare & respond & recover & adaptive\\_capacity & enhanced\\_exposure & social\\_vulnerability\\\\\n",
       "  & <chr> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & ⋯ & <dbl> & <dbl> & <dbl> & <dbl{[},1{]}> & <dbl{[},1{]}> & <dbl{[},1{]}> & <dbl{[},1{]}> & <dbl{[},1{]}> & <dbl{[},1{]}> & <dbl{[},1{]}>\\\\\n",
       "\\hline\n",
       "\t1 & 000581a3-4ebd-4a74-b5f8-0bd78cd7ede5 &  3.3880435 & -0.8683184 & -0.72494112 & -0.92235833 & -0.9537932 & -0.28864382 & -0.3191812 & -0.5775435 & -0.61650259 & ⋯ & -0.76239614 & -0.51537733 &  0.2163239 &  0.38290372 & -0.4856123 & -0.3377139 & -1.3729086 & -0.61316276 & -0.3497016 & -0.33398100\\\\\n",
       "\t2 & 00275248-3d78-4fdb-8e5c-8ff1f76aebea & -1.2041476 &  1.0830212 &  0.27801178 & -0.62611003 & -0.5813707 &  0.24855343 & -0.7175350 &  0.2814244 & -0.23523246 & ⋯ & -0.08583099 & -0.08272206 & -0.1150856 & -0.20594059 & -1.0185818 & -0.9052009 & -0.5397312 & -1.02866162 & -0.2313086 & -0.93275401\\\\\n",
       "\t3 & 002b83e4-5cce-414a-8570-871a50ae0964 &  0.2940109 & -0.6563918 &  0.07647292 &  0.06773408 &  0.3083236 & -0.06192013 & -0.7370951 & -0.1126775 &  0.22240140 & ⋯ & -0.01340725 & -0.43095487 &  0.3196619 & -0.09575557 &  1.3659655 &  1.7874752 & -0.1097374 &  1.32022239 & -0.1301417 &  1.13569837\\\\\n",
       "\t4 & 005eec3f-d746-480f-ae2c-bc6f1151548d & -1.3337162 &  1.4547264 &  0.49313225 &  0.45603900 & -1.0918818 & -1.18351563 & -1.9157382 & -0.5775435 & -0.07660151 & ⋯ &  0.14327742 & -0.34810226 &  0.6397246 &  0.46969785 &  1.3940082 &  0.8307672 & -0.3008060 &  0.88678611 &  0.3410119 &  1.02930797\\\\\n",
       "\t5 & 00b00ae4-229d-455d-84f1-d6face4876b1 &  1.7131001 & -1.2060316 & -0.32805634 & -0.03080027 &  3.2416831 &  1.26642096 &  1.5271694 & -0.5775435 &  0.75768133 & ⋯ & -0.81129050 & -0.57973227 &  0.4764065 &  0.06504954 &  1.1356657 & -0.5626938 & -0.3603958 &  0.06607222 & -0.1208251 &  0.19607516\\\\\n",
       "\t6 & 00df2b78-66c8-4009-89e0-0e14e15e4208 &  1.5084163 & -0.8589597 & -1.03118100 & -1.02730679 & -0.4959203 & -0.57201990 &  0.4816479 & -0.4599295 & -0.97841257 & ⋯ & -0.53257202 & -0.50830359 &  0.1858483 & -0.61841747 & -0.5434782 &  0.5417954 & -1.2756320 &  0.04443066 & -0.3770668 & -0.09735021\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 46\n",
       "\n",
       "| <!--/--> | SA_GUID__1 &lt;chr&gt; | early_childhood &lt;dbl&gt; | age_middle_to_oldest_old &lt;dbl&gt; | poor_health &lt;dbl&gt; | disability &lt;dbl&gt; | one_parent_households &lt;dbl&gt; | three_or_more_children_households &lt;dbl&gt; | low_skilled_employment &lt;dbl&gt; | farmers &lt;dbl&gt; | unemployment &lt;dbl&gt; | ⋯ ⋯ | social_network &lt;dbl&gt; | housing_characteristics &lt;dbl&gt; | physical_environment &lt;dbl&gt; | sensitivity &lt;dbl[,1]&gt; | prepare &lt;dbl[,1]&gt; | respond &lt;dbl[,1]&gt; | recover &lt;dbl[,1]&gt; | adaptive_capacity &lt;dbl[,1]&gt; | enhanced_exposure &lt;dbl[,1]&gt; | social_vulnerability &lt;dbl[,1]&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| 1 | 000581a3-4ebd-4a74-b5f8-0bd78cd7ede5 |  3.3880435 | -0.8683184 | -0.72494112 | -0.92235833 | -0.9537932 | -0.28864382 | -0.3191812 | -0.5775435 | -0.61650259 | ⋯ | -0.76239614 | -0.51537733 |  0.2163239 |  0.38290372 | -0.4856123 | -0.3377139 | -1.3729086 | -0.61316276 | -0.3497016 | -0.33398100 |\n",
       "| 2 | 00275248-3d78-4fdb-8e5c-8ff1f76aebea | -1.2041476 |  1.0830212 |  0.27801178 | -0.62611003 | -0.5813707 |  0.24855343 | -0.7175350 |  0.2814244 | -0.23523246 | ⋯ | -0.08583099 | -0.08272206 | -0.1150856 | -0.20594059 | -1.0185818 | -0.9052009 | -0.5397312 | -1.02866162 | -0.2313086 | -0.93275401 |\n",
       "| 3 | 002b83e4-5cce-414a-8570-871a50ae0964 |  0.2940109 | -0.6563918 |  0.07647292 |  0.06773408 |  0.3083236 | -0.06192013 | -0.7370951 | -0.1126775 |  0.22240140 | ⋯ | -0.01340725 | -0.43095487 |  0.3196619 | -0.09575557 |  1.3659655 |  1.7874752 | -0.1097374 |  1.32022239 | -0.1301417 |  1.13569837 |\n",
       "| 4 | 005eec3f-d746-480f-ae2c-bc6f1151548d | -1.3337162 |  1.4547264 |  0.49313225 |  0.45603900 | -1.0918818 | -1.18351563 | -1.9157382 | -0.5775435 | -0.07660151 | ⋯ |  0.14327742 | -0.34810226 |  0.6397246 |  0.46969785 |  1.3940082 |  0.8307672 | -0.3008060 |  0.88678611 |  0.3410119 |  1.02930797 |\n",
       "| 5 | 00b00ae4-229d-455d-84f1-d6face4876b1 |  1.7131001 | -1.2060316 | -0.32805634 | -0.03080027 |  3.2416831 |  1.26642096 |  1.5271694 | -0.5775435 |  0.75768133 | ⋯ | -0.81129050 | -0.57973227 |  0.4764065 |  0.06504954 |  1.1356657 | -0.5626938 | -0.3603958 |  0.06607222 | -0.1208251 |  0.19607516 |\n",
       "| 6 | 00df2b78-66c8-4009-89e0-0e14e15e4208 |  1.5084163 | -0.8589597 | -1.03118100 | -1.02730679 | -0.4959203 | -0.57201990 |  0.4816479 | -0.4599295 | -0.97841257 | ⋯ | -0.53257202 | -0.50830359 |  0.1858483 | -0.61841747 | -0.5434782 |  0.5417954 | -1.2756320 |  0.04443066 | -0.3770668 | -0.09735021 |\n",
       "\n"
      ],
      "text/plain": [
       "  SA_GUID__1                           early_childhood age_middle_to_oldest_old\n",
       "1 000581a3-4ebd-4a74-b5f8-0bd78cd7ede5  3.3880435      -0.8683184              \n",
       "2 00275248-3d78-4fdb-8e5c-8ff1f76aebea -1.2041476       1.0830212              \n",
       "3 002b83e4-5cce-414a-8570-871a50ae0964  0.2940109      -0.6563918              \n",
       "4 005eec3f-d746-480f-ae2c-bc6f1151548d -1.3337162       1.4547264              \n",
       "5 00b00ae4-229d-455d-84f1-d6face4876b1  1.7131001      -1.2060316              \n",
       "6 00df2b78-66c8-4009-89e0-0e14e15e4208  1.5084163      -0.8589597              \n",
       "  poor_health disability  one_parent_households\n",
       "1 -0.72494112 -0.92235833 -0.9537932           \n",
       "2  0.27801178 -0.62611003 -0.5813707           \n",
       "3  0.07647292  0.06773408  0.3083236           \n",
       "4  0.49313225  0.45603900 -1.0918818           \n",
       "5 -0.32805634 -0.03080027  3.2416831           \n",
       "6 -1.03118100 -1.02730679 -0.4959203           \n",
       "  three_or_more_children_households low_skilled_employment farmers   \n",
       "1 -0.28864382                       -0.3191812             -0.5775435\n",
       "2  0.24855343                       -0.7175350              0.2814244\n",
       "3 -0.06192013                       -0.7370951             -0.1126775\n",
       "4 -1.18351563                       -1.9157382             -0.5775435\n",
       "5  1.26642096                        1.5271694             -0.5775435\n",
       "6 -0.57201990                        0.4816479             -0.4599295\n",
       "  unemployment ⋯ social_network housing_characteristics physical_environment\n",
       "1 -0.61650259  ⋯ -0.76239614    -0.51537733              0.2163239          \n",
       "2 -0.23523246  ⋯ -0.08583099    -0.08272206             -0.1150856          \n",
       "3  0.22240140  ⋯ -0.01340725    -0.43095487              0.3196619          \n",
       "4 -0.07660151  ⋯  0.14327742    -0.34810226              0.6397246          \n",
       "5  0.75768133  ⋯ -0.81129050    -0.57973227              0.4764065          \n",
       "6 -0.97841257  ⋯ -0.53257202    -0.50830359              0.1858483          \n",
       "  sensitivity prepare    respond    recover    adaptive_capacity\n",
       "1  0.38290372 -0.4856123 -0.3377139 -1.3729086 -0.61316276      \n",
       "2 -0.20594059 -1.0185818 -0.9052009 -0.5397312 -1.02866162      \n",
       "3 -0.09575557  1.3659655  1.7874752 -0.1097374  1.32022239      \n",
       "4  0.46969785  1.3940082  0.8307672 -0.3008060  0.88678611      \n",
       "5  0.06504954  1.1356657 -0.5626938 -0.3603958  0.06607222      \n",
       "6 -0.61841747 -0.5434782  0.5417954 -1.2756320  0.04443066      \n",
       "  enhanced_exposure social_vulnerability\n",
       "1 -0.3497016        -0.33398100         \n",
       "2 -0.2313086        -0.93275401         \n",
       "3 -0.1301417         1.13569837         \n",
       "4  0.3410119         1.02930797         \n",
       "5 -0.1208251         0.19607516         \n",
       "6 -0.3770668        -0.09735021         "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Merge all the indicators, domains, dimensions, and total vulnerability into one dataset\n",
    "output_dataset <- merge(indicator_data_weighted, domain_scores, by=GUID)\n",
    "output_dataset <- merge(output_dataset, dimension_scores, by=GUID)\n",
    "output_dataset <- merge(output_dataset, vulnerability_scores, by=GUID)\n",
    "\n",
    "head(output_dataset)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "228968f5-50a5-442a-9344-f4857f11086e",
   "metadata": {},
   "source": [
    "## Correlations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "752d49bc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A matrix: 45 × 45 of type dbl</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>early_childhood</th><th scope=col>age_middle_to_oldest_old</th><th scope=col>poor_health</th><th scope=col>disability</th><th scope=col>one_parent_households</th><th scope=col>three_or_more_children_households</th><th scope=col>low_skilled_employment</th><th scope=col>farmers</th><th scope=col>unemployment</th><th scope=col>no_higher_education</th><th scope=col>⋯</th><th scope=col>social_network</th><th scope=col>housing_characteristics</th><th scope=col>physical_environment</th><th scope=col>sensitivity</th><th scope=col>prepare</th><th scope=col>respond</th><th scope=col>recover</th><th scope=col>adaptive_capacity</th><th scope=col>enhanced_exposure</th><th scope=col>social_vulnerability</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>early_childhood</th><td> 1.000000000</td><td>-0.32493451</td><td>-0.19669611</td><td>-0.348783559</td><td> 0.09850766</td><td> 0.25303355</td><td> 0.013435867</td><td>-0.01978601</td><td>-0.13004664</td><td>-0.137898158</td><td>⋯</td><td>-0.38366160</td><td>-0.160256869</td><td>-0.03372868</td><td> 0.056874631</td><td> 0.00745299</td><td>-0.13050168</td><td>-0.26465066</td><td>-0.12476835</td><td>-0.13656575</td><td>-0.092781282</td></tr>\n",
       "\t<tr><th scope=row>age_middle_to_oldest_old</th><td>-0.324934515</td><td> 1.00000000</td><td> 0.30653419</td><td> 0.524380117</td><td>-0.17156982</td><td>-0.21339372</td><td>-0.018174118</td><td> 0.11130965</td><td> 0.07775926</td><td> 0.196145051</td><td>⋯</td><td> 0.26164119</td><td> 0.169576750</td><td>-0.13170866</td><td> 0.660967764</td><td>-0.26899725</td><td>-0.10851529</td><td> 0.13857486</td><td>-0.15313015</td><td>-0.01957992</td><td> 0.040267361</td></tr>\n",
       "\t<tr><th scope=row>poor_health</th><td>-0.196696114</td><td> 0.30653419</td><td> 1.00000000</td><td> 0.635159460</td><td> 0.30466708</td><td>-0.20580461</td><td> 0.291697215</td><td>-0.13013724</td><td> 0.57211583</td><td> 0.424979686</td><td>⋯</td><td> 0.42639629</td><td> 0.022511126</td><td> 0.15267300</td><td> 0.765871577</td><td> 0.29258876</td><td> 0.35238297</td><td> 0.51649964</td><td> 0.33806981</td><td> 0.16419232</td><td> 0.534897413</td></tr>\n",
       "\t<tr><th scope=row>disability</th><td>-0.348783559</td><td> 0.52438012</td><td> 0.63515946</td><td> 1.000000000</td><td> 0.26578634</td><td>-0.26676366</td><td> 0.279103306</td><td>-0.12151826</td><td> 0.55274473</td><td> 0.435642179</td><td>⋯</td><td> 0.47151022</td><td> 0.042917765</td><td> 0.10336068</td><td> 0.794732682</td><td> 0.17260065</td><td> 0.27259948</td><td> 0.49373907</td><td> 0.25145006</td><td> 0.12903530</td><td> 0.461766118</td></tr>\n",
       "\t<tr><th scope=row>one_parent_households</th><td> 0.098507657</td><td>-0.17156982</td><td> 0.30466708</td><td> 0.265786342</td><td> 1.00000000</td><td> 0.13073343</td><td> 0.399706920</td><td>-0.22809509</td><td> 0.52557353</td><td> 0.268872631</td><td>⋯</td><td> 0.03932941</td><td>-0.253554724</td><td> 0.20588712</td><td> 0.218302790</td><td> 0.40820193</td><td> 0.24661411</td><td> 0.28460567</td><td> 0.27320175</td><td> 0.03805277</td><td> 0.332412186</td></tr>\n",
       "\t<tr><th scope=row>three_or_more_children_households</th><td> 0.253033549</td><td>-0.21339372</td><td>-0.20580461</td><td>-0.266763657</td><td> 0.13073343</td><td> 1.00000000</td><td> 0.120114454</td><td> 0.27576238</td><td>-0.12234336</td><td>-0.066259317</td><td>⋯</td><td>-0.68726343</td><td>-0.075504006</td><td>-0.31261976</td><td>-0.190010345</td><td>-0.27880835</td><td>-0.39096576</td><td>-0.39137609</td><td>-0.41701881</td><td>-0.35520161</td><td>-0.464972587</td></tr>\n",
       "\t<tr><th scope=row>low_skilled_employment</th><td> 0.013435867</td><td>-0.01817412</td><td> 0.29169722</td><td> 0.279103306</td><td> 0.39970692</td><td> 0.12011445</td><td> 1.000000000</td><td> 0.06854214</td><td> 0.44466332</td><td> 0.385397713</td><td>⋯</td><td> 0.07614730</td><td>-0.027756007</td><td>-0.04957132</td><td> 0.248442188</td><td> 0.25359005</td><td> 0.23286477</td><td> 0.35800972</td><td> 0.18890973</td><td>-0.06651743</td><td> 0.217004201</td></tr>\n",
       "\t<tr><th scope=row>farmers</th><td>-0.019786008</td><td> 0.11130965</td><td>-0.13013724</td><td>-0.121518259</td><td>-0.22809509</td><td> 0.27576238</td><td> 0.068542137</td><td> 1.00000000</td><td>-0.09975730</td><td> 0.097044899</td><td>⋯</td><td>-0.24591427</td><td> 0.504804657</td><td>-0.53228034</td><td>-0.070281154</td><td>-0.23117977</td><td>-0.16727776</td><td> 0.01664975</td><td>-0.17952180</td><td>-0.19571665</td><td>-0.282746200</td></tr>\n",
       "\t<tr><th scope=row>unemployment</th><td>-0.130046641</td><td> 0.07775926</td><td> 0.57211583</td><td> 0.552744730</td><td> 0.52557353</td><td>-0.12234336</td><td> 0.444663319</td><td>-0.09975730</td><td> 1.00000000</td><td> 0.560757353</td><td>⋯</td><td> 0.42159647</td><td> 0.043276112</td><td> 0.14323937</td><td> 0.470747553</td><td> 0.52914364</td><td> 0.49626060</td><td> 0.67751217</td><td> 0.50210064</td><td> 0.16835665</td><td> 0.580520974</td></tr>\n",
       "\t<tr><th scope=row>no_higher_education</th><td>-0.137898158</td><td> 0.19614505</td><td> 0.42497969</td><td> 0.435642179</td><td> 0.26887263</td><td>-0.06625932</td><td> 0.385397713</td><td> 0.09704490</td><td> 0.56075735</td><td> 1.000000000</td><td>⋯</td><td> 0.29491114</td><td> 0.151364799</td><td>-0.03472561</td><td> 0.403287370</td><td> 0.32913634</td><td> 0.37864876</td><td> 0.57496105</td><td> 0.33645163</td><td> 0.06372239</td><td> 0.386552633</td></tr>\n",
       "\t<tr><th scope=row>speak_english</th><td> 0.159789220</td><td>-0.25558916</td><td> 0.04837885</td><td>-0.098596519</td><td> 0.11246126</td><td>-0.16309966</td><td> 0.091922308</td><td>-0.28731064</td><td> 0.13838698</td><td>-0.050461791</td><td>⋯</td><td> 0.13908692</td><td>-0.140883234</td><td> 0.28951633</td><td>-0.064086473</td><td> 0.62692745</td><td> 0.49581042</td><td> 0.26247788</td><td> 0.50071430</td><td> 0.19279833</td><td> 0.453890551</td></tr>\n",
       "\t<tr><th scope=row>no_internet</th><td>-0.171955862</td><td> 0.34737657</td><td> 0.35435344</td><td> 0.403307921</td><td> 0.04603465</td><td>-0.10769893</td><td> 0.396781083</td><td> 0.40227118</td><td> 0.44235813</td><td> 0.506317270</td><td>⋯</td><td> 0.33097211</td><td> 0.422236585</td><td>-0.23707766</td><td> 0.409525528</td><td> 0.20552774</td><td> 0.31968299</td><td> 0.62414926</td><td> 0.29067519</td><td> 0.04031925</td><td> 0.307150723</td></tr>\n",
       "\t<tr><th scope=row>new_residents</th><td>-0.051379223</td><td>-0.15971228</td><td>-0.10907521</td><td>-0.116649178</td><td>-0.21942293</td><td>-0.35028773</td><td>-0.324276498</td><td>-0.19301376</td><td>-0.14388092</td><td>-0.183981741</td><td>⋯</td><td> 0.23901731</td><td> 0.037697828</td><td> 0.18031885</td><td>-0.191716536</td><td> 0.45319577</td><td> 0.43205921</td><td> 0.12879105</td><td> 0.44553145</td><td> 0.20109990</td><td> 0.347594200</td></tr>\n",
       "\t<tr><th scope=row>foreign_nationals</th><td> 0.089204917</td><td>-0.34831679</td><td>-0.08502597</td><td>-0.243047847</td><td>-0.05245160</td><td>-0.36431346</td><td>-0.208958688</td><td>-0.35112423</td><td>-0.04082757</td><td>-0.174546953</td><td>⋯</td><td> 0.25145621</td><td>-0.087764849</td><td> 0.35614831</td><td>-0.257713163</td><td> 0.65661147</td><td> 0.53908801</td><td> 0.20154501</td><td> 0.58794853</td><td> 0.29241963</td><td> 0.482867295</td></tr>\n",
       "\t<tr><th scope=row>no_car</th><td>-0.225941633</td><td>-0.01883762</td><td> 0.38646681</td><td> 0.349463767</td><td> 0.22544232</td><td>-0.52259886</td><td> 0.046124863</td><td>-0.35333484</td><td> 0.44095634</td><td> 0.237776379</td><td>⋯</td><td> 0.70498011</td><td> 0.053488925</td><td> 0.51586944</td><td> 0.215564107</td><td> 0.68895359</td><td> 0.77101618</td><td> 0.78780492</td><td> 0.80994503</td><td> 0.54021233</td><td> 0.838259521</td></tr>\n",
       "\t<tr><th scope=row>rented</th><td> 0.002567175</td><td>-0.32199244</td><td> 0.22335071</td><td> 0.126685685</td><td> 0.42133306</td><td>-0.35310108</td><td> 0.061563474</td><td>-0.45121952</td><td> 0.39073362</td><td> 0.084570979</td><td>⋯</td><td> 0.45635738</td><td>-0.187597533</td><td> 0.46911229</td><td> 0.013435087</td><td> 0.86540369</td><td> 0.64376464</td><td> 0.50093892</td><td> 0.76420116</td><td> 0.33867084</td><td> 0.731306447</td></tr>\n",
       "\t<tr><th scope=row>journey_time</th><td> 0.158255605</td><td>-0.21205543</td><td>-0.17667633</td><td>-0.222821823</td><td>-0.03706221</td><td> 0.23763496</td><td> 0.025850812</td><td> 0.11678757</td><td>-0.17818191</td><td>-0.088076691</td><td>⋯</td><td>-0.28522486</td><td>-0.045655661</td><td>-0.08990361</td><td>-0.198950445</td><td>-0.09560752</td><td> 0.22052776</td><td>-0.23087296</td><td> 0.10578340</td><td>-0.11761271</td><td> 0.008771085</td></tr>\n",
       "\t<tr><th scope=row>not_volunteers</th><td> 0.108404034</td><td>-0.21304424</td><td> 0.25229599</td><td> 0.128253747</td><td> 0.39590010</td><td>-0.18634699</td><td> 0.207617082</td><td>-0.39555772</td><td> 0.35920035</td><td> 0.158925312</td><td>⋯</td><td> 0.50891924</td><td>-0.290180669</td><td> 0.43997269</td><td> 0.121095455</td><td> 0.45026808</td><td> 0.44654439</td><td> 0.37008743</td><td> 0.44186793</td><td> 0.24385282</td><td> 0.492609731</td></tr>\n",
       "\t<tr><th scope=row>primary_school_age</th><td>-0.582863517</td><td> 0.37135841</td><td> 0.23178782</td><td> 0.365188402</td><td>-0.21914478</td><td>-0.61570082</td><td>-0.103842573</td><td>-0.05264041</td><td> 0.14261364</td><td> 0.145501555</td><td>⋯</td><td> 0.73178786</td><td> 0.216055278</td><td> 0.12681477</td><td> 0.169181539</td><td> 0.10760710</td><td> 0.33282560</td><td> 0.43452917</td><td> 0.32385574</td><td> 0.26384884</td><td> 0.342381580</td></tr>\n",
       "\t<tr><th scope=row>one_person_households</th><td>-0.289474835</td><td> 0.36267025</td><td> 0.36494585</td><td> 0.445420560</td><td>-0.09845405</td><td>-0.56641225</td><td> 0.047846714</td><td>-0.04144683</td><td> 0.33765654</td><td> 0.282795242</td><td>⋯</td><td> 0.75045960</td><td> 0.321140599</td><td> 0.11646612</td><td> 0.387791315</td><td> 0.34092200</td><td> 0.48009915</td><td> 0.67081769</td><td> 0.50630006</td><td> 0.32157576</td><td> 0.553804415</td></tr>\n",
       "\t<tr><th scope=row>no_central_heating</th><td>-0.142289862</td><td> 0.03779754</td><td> 0.09161714</td><td> 0.089734980</td><td>-0.07580625</td><td>-0.22561659</td><td>-0.027559381</td><td> 0.11521648</td><td> 0.12626793</td><td> 0.090393332</td><td>⋯</td><td> 0.27721567</td><td> 0.589072386</td><td> 0.02141389</td><td> 0.033733420</td><td> 0.22104280</td><td> 0.28103287</td><td> 0.43420592</td><td> 0.36415663</td><td> 0.40145124</td><td> 0.312820361</td></tr>\n",
       "\t<tr><th scope=row>private_water_supply</th><td> 0.001127354</td><td> 0.05584319</td><td>-0.14674819</td><td>-0.159032326</td><td>-0.23398375</td><td> 0.30658908</td><td> 0.061452795</td><td> 0.71896521</td><td>-0.13401411</td><td> 0.042351139</td><td>⋯</td><td>-0.28998956</td><td> 0.553849147</td><td>-0.52246046</td><td>-0.109201576</td><td>-0.27089731</td><td>-0.20519093</td><td>-0.03451958</td><td>-0.19622269</td><td>-0.15441491</td><td>-0.305736645</td></tr>\n",
       "\t<tr><th scope=row>year_built</th><td>-0.207242519</td><td> 0.17554207</td><td> 0.06408561</td><td> 0.111494130</td><td>-0.22330381</td><td>-0.21114257</td><td>-0.087738295</td><td> 0.22166419</td><td> 0.02703836</td><td> 0.081079787</td><td>⋯</td><td> 0.26318819</td><td> 0.620950841</td><td>-0.03434341</td><td> 0.063147973</td><td> 0.01462106</td><td> 0.16448416</td><td> 0.37855146</td><td> 0.21251976</td><td> 0.36738596</td><td> 0.185202760</td></tr>\n",
       "\t<tr><th scope=row>mobile_home</th><td>-0.002882623</td><td> 0.01460049</td><td> 0.02558688</td><td> 0.006689724</td><td>-0.03103467</td><td> 0.05752729</td><td> 0.026925013</td><td> 0.12928285</td><td> 0.05310555</td><td> 0.088576191</td><td>⋯</td><td>-0.01959576</td><td> 0.442263639</td><td>-0.12155848</td><td> 0.019308979</td><td>-0.04667923</td><td>-0.02275203</td><td> 0.10294588</td><td> 0.02668735</td><td> 0.16648826</td><td> 0.001256837</td></tr>\n",
       "\t<tr><th scope=row>unoccupied_dwellings</th><td>-0.091314689</td><td> 0.18455898</td><td> 0.02763047</td><td> 0.069645093</td><td>-0.13614674</td><td>-0.13588649</td><td>-0.049737523</td><td> 0.20905626</td><td> 0.04712357</td><td> 0.115643499</td><td>⋯</td><td> 0.11177671</td><td> 0.555694679</td><td>-0.16749821</td><td> 0.083618308</td><td> 0.03907978</td><td> 0.06995558</td><td> 0.22347137</td><td> 0.12525194</td><td> 0.19471828</td><td> 0.090953053</td></tr>\n",
       "\t<tr><th scope=row>tree_cover_density</th><td> 0.034488254</td><td>-0.07166947</td><td> 0.10003601</td><td> 0.072430433</td><td> 0.18333969</td><td>-0.08450058</td><td> 0.057292604</td><td>-0.30875578</td><td> 0.10882391</td><td> 0.003406082</td><td>⋯</td><td> 0.11393401</td><td>-0.238307149</td><td> 0.83825268</td><td> 0.059376078</td><td> 0.12521936</td><td> 0.13556357</td><td> 0.06591669</td><td> 0.12328634</td><td> 0.66775824</td><td> 0.299616504</td></tr>\n",
       "\t<tr><th scope=row>impervious</th><td>-0.091034560</td><td>-0.14914081</td><td> 0.15592109</td><td> 0.100854300</td><td> 0.16183117</td><td>-0.43960813</td><td>-0.140399181</td><td>-0.58361507</td><td> 0.13131766</td><td>-0.061623752</td><td>⋯</td><td> 0.46135537</td><td>-0.262154110</td><td> 0.83825268</td><td> 0.007285676</td><td> 0.42179354</td><td> 0.44156161</td><td> 0.30034761</td><td> 0.46939893</td><td> 0.65235633</td><td> 0.567816655</td></tr>\n",
       "\t<tr><th scope=row>age</th><td> 0.580975682</td><td> 0.58097568</td><td> 0.09452898</td><td> 0.151122124</td><td>-0.06287885</td><td> 0.03411488</td><td>-0.004077839</td><td> 0.07876719</td><td>-0.04499963</td><td> 0.050128513</td><td>⋯</td><td>-0.10501335</td><td> 0.008020888</td><td>-0.14237889</td><td> 0.617790397</td><td>-0.22509054</td><td>-0.20570308</td><td>-0.10850350</td><td>-0.23916535</td><td>-0.13438228</td><td>-0.045194594</td></tr>\n",
       "\t<tr><th scope=row>health</th><td>-0.301636240</td><td> 0.45947425</td><td> 0.90420116</td><td> 0.904201156</td><td> 0.31544608</td><td>-0.26131810</td><td> 0.315638018</td><td>-0.13915902</td><td> 0.62201898</td><td> 0.475901772</td><td>⋯</td><td> 0.49651923</td><td> 0.036180495</td><td> 0.14158004</td><td> 0.862974046</td><td> 0.25723779</td><td> 0.34559923</td><td> 0.55863604</td><td> 0.32598934</td><td> 0.16214734</td><td> 0.551129317</td></tr>\n",
       "\t<tr><th scope=row>income</th><td> 0.075916346</td><td>-0.07553580</td><td> 0.29380663</td><td> 0.250336170</td><td> 0.64505548</td><td> 0.49554535</td><td> 0.717456839</td><td> 0.35871273</td><td> 0.61691992</td><td> 0.439651774</td><td>⋯</td><td>-0.13977031</td><td> 0.067508516</td><td>-0.19245359</td><td> 0.238988854</td><td> 0.24030818</td><td> 0.14734169</td><td> 0.33364262</td><td> 0.12975823</td><td>-0.14504558</td><td> 0.134891693</td></tr>\n",
       "\t<tr><th scope=row>info_access_use</th><td>-0.078409030</td><td> 0.15044432</td><td> 0.43250507</td><td> 0.386854037</td><td> 0.22331894</td><td>-0.17612469</td><td> 0.456743892</td><td> 0.11076648</td><td> 0.59647221</td><td> 0.760734303</td><td>⋯</td><td> 0.39972040</td><td> 0.226098780</td><td> 0.00926576</td><td> 0.391228997</td><td> 0.60697954</td><td> 0.62398411</td><td> 0.76372504</td><td> 0.58933978</td><td> 0.15511165</td><td> 0.599660894</td></tr>\n",
       "\t<tr><th scope=row>local_knowledge</th><td> 0.021418562</td><td>-0.28766827</td><td>-0.10990858</td><td>-0.203676181</td><td>-0.15394725</td><td>-0.40463844</td><td>-0.301941075</td><td>-0.30811472</td><td>-0.10459002</td><td>-0.203014621</td><td>⋯</td><td> 0.27772755</td><td>-0.028350136</td><td> 0.30377116</td><td>-0.254486744</td><td> 0.62842138</td><td> 0.54990602</td><td> 0.18705072</td><td> 0.58520155</td><td> 0.27945233</td><td> 0.470243606</td></tr>\n",
       "\t<tr><th scope=row>mobility</th><td>-0.225941633</td><td>-0.01883762</td><td> 0.38646681</td><td> 0.349463767</td><td> 0.22544232</td><td>-0.52259886</td><td> 0.046124863</td><td>-0.35333484</td><td> 0.44095634</td><td> 0.237776379</td><td>⋯</td><td> 0.70498011</td><td> 0.053488925</td><td> 0.51586944</td><td> 0.215564107</td><td> 0.68895359</td><td> 0.77101618</td><td> 0.78780492</td><td> 0.80994503</td><td> 0.54021233</td><td> 0.838259521</td></tr>\n",
       "\t<tr><th scope=row>physical_access</th><td> 0.158255605</td><td>-0.21205543</td><td>-0.17667633</td><td>-0.222821823</td><td>-0.03706221</td><td> 0.23763496</td><td> 0.025850812</td><td> 0.11678757</td><td>-0.17818191</td><td>-0.088076691</td><td>⋯</td><td>-0.28522486</td><td>-0.045655661</td><td>-0.08990361</td><td>-0.198950445</td><td>-0.09560752</td><td> 0.22052776</td><td>-0.23087296</td><td> 0.10578340</td><td>-0.11761271</td><td> 0.008771085</td></tr>\n",
       "\t<tr><th scope=row>tenure</th><td> 0.002567175</td><td>-0.32199244</td><td> 0.22335071</td><td> 0.126685685</td><td> 0.42133306</td><td>-0.35310108</td><td> 0.061563474</td><td>-0.45121952</td><td> 0.39073362</td><td> 0.084570979</td><td>⋯</td><td> 0.45635738</td><td>-0.187597533</td><td> 0.46911229</td><td> 0.013435087</td><td> 0.86540369</td><td> 0.64376464</td><td> 0.50093892</td><td> 0.76420116</td><td> 0.33867084</td><td> 0.731306447</td></tr>\n",
       "\t<tr><th scope=row>social_network</th><td>-0.383661598</td><td> 0.26164119</td><td> 0.42639629</td><td> 0.471510222</td><td> 0.03932941</td><td>-0.68726343</td><td> 0.076147297</td><td>-0.24591427</td><td> 0.42159647</td><td> 0.294911138</td><td>⋯</td><td> 1.00000000</td><td> 0.124046433</td><td> 0.34314795</td><td> 0.340532929</td><td> 0.45139215</td><td> 0.63252801</td><td> 0.74098527</td><td> 0.63883230</td><td> 0.41647779</td><td> 0.697477175</td></tr>\n",
       "\t<tr><th scope=row>housing_characteristics</th><td>-0.160256869</td><td> 0.16957675</td><td> 0.02251113</td><td> 0.042917765</td><td>-0.25355472</td><td>-0.07550401</td><td>-0.027756007</td><td> 0.50480466</td><td> 0.04327611</td><td> 0.151364799</td><td>⋯</td><td> 0.12404643</td><td> 1.000000000</td><td>-0.29851456</td><td> 0.032806901</td><td>-0.01550888</td><td> 0.10410836</td><td> 0.39997203</td><td> 0.19276815</td><td> 0.35325440</td><td> 0.103010067</td></tr>\n",
       "\t<tr><th scope=row>physical_environment</th><td>-0.033728676</td><td>-0.13170866</td><td> 0.15267300</td><td> 0.103360679</td><td> 0.20588712</td><td>-0.31261976</td><td>-0.049571316</td><td>-0.53228034</td><td> 0.14323937</td><td>-0.034725609</td><td>⋯</td><td> 0.34314795</td><td>-0.298514559</td><td> 1.00000000</td><td> 0.039762327</td><td> 0.32628163</td><td> 0.34424297</td><td> 0.21846891</td><td> 0.35352423</td><td> 0.78742043</td><td> 0.517405536</td></tr>\n",
       "\t<tr><th scope=row>sensitivity</th><td> 0.056874631</td><td> 0.66096776</td><td> 0.76587158</td><td> 0.794732682</td><td> 0.21830279</td><td>-0.19001035</td><td> 0.248442188</td><td>-0.07028115</td><td> 0.47074755</td><td> 0.403287370</td><td>⋯</td><td> 0.34053293</td><td> 0.032806901</td><td> 0.03976233</td><td> 1.000000000</td><td> 0.08937894</td><td> 0.16939852</td><td> 0.38805513</td><td> 0.13676922</td><td> 0.06016465</td><td> 0.414383023</td></tr>\n",
       "\t<tr><th scope=row>prepare</th><td> 0.007452990</td><td>-0.26899725</td><td> 0.29258876</td><td> 0.172600648</td><td> 0.40820193</td><td>-0.27880835</td><td> 0.253590047</td><td>-0.23117977</td><td> 0.52914364</td><td> 0.329136336</td><td>⋯</td><td> 0.45139215</td><td>-0.015508877</td><td> 0.32628163</td><td> 0.089378944</td><td> 1.00000000</td><td> 0.82877495</td><td> 0.69063013</td><td> 0.89027582</td><td> 0.30981126</td><td> 0.826010881</td></tr>\n",
       "\t<tr><th scope=row>respond</th><td>-0.130501679</td><td>-0.10851529</td><td> 0.35238297</td><td> 0.272599478</td><td> 0.24661411</td><td>-0.39096576</td><td> 0.232864767</td><td>-0.16727776</td><td> 0.49626060</td><td> 0.378648760</td><td>⋯</td><td> 0.63252801</td><td> 0.104108361</td><td> 0.34424297</td><td> 0.169398515</td><td> 0.82877495</td><td> 1.00000000</td><td> 0.79468845</td><td> 0.96950374</td><td> 0.40467386</td><td> 0.918295723</td></tr>\n",
       "\t<tr><th scope=row>recover</th><td>-0.264650656</td><td> 0.13857486</td><td> 0.51649964</td><td> 0.493739070</td><td> 0.28460567</td><td>-0.39137609</td><td> 0.358009724</td><td> 0.01664975</td><td> 0.67751217</td><td> 0.574961054</td><td>⋯</td><td> 0.74098527</td><td> 0.399972035</td><td> 0.21846891</td><td> 0.388055130</td><td> 0.69063013</td><td> 0.79468845</td><td> 1.00000000</td><td> 0.82225951</td><td> 0.47247540</td><td> 0.834733672</td></tr>\n",
       "\t<tr><th scope=row>adaptive_capacity</th><td>-0.124768352</td><td>-0.15313015</td><td> 0.33806981</td><td> 0.251450062</td><td> 0.27320175</td><td>-0.41701881</td><td> 0.188909731</td><td>-0.17952180</td><td> 0.50210064</td><td> 0.336451630</td><td>⋯</td><td> 0.63883230</td><td> 0.192768146</td><td> 0.35352423</td><td> 0.136769221</td><td> 0.89027582</td><td> 0.96950374</td><td> 0.82225951</td><td> 1.00000000</td><td> 0.47103374</td><td> 0.935696312</td></tr>\n",
       "\t<tr><th scope=row>enhanced_exposure</th><td>-0.136565749</td><td>-0.01957992</td><td> 0.16419232</td><td> 0.129035302</td><td> 0.03805277</td><td>-0.35520161</td><td>-0.066517431</td><td>-0.19571665</td><td> 0.16835665</td><td> 0.063722393</td><td>⋯</td><td> 0.41647779</td><td> 0.353254399</td><td> 0.78742043</td><td> 0.060164653</td><td> 0.30981126</td><td> 0.40467386</td><td> 0.47247540</td><td> 0.47103374</td><td> 1.00000000</td><td> 0.573701986</td></tr>\n",
       "\t<tr><th scope=row>social_vulnerability</th><td>-0.092781282</td><td> 0.04026736</td><td> 0.53489741</td><td> 0.461766118</td><td> 0.33241219</td><td>-0.46497259</td><td> 0.217004201</td><td>-0.28274620</td><td> 0.58052097</td><td> 0.386552633</td><td>⋯</td><td> 0.69747717</td><td> 0.103010067</td><td> 0.51740554</td><td> 0.414383023</td><td> 0.82601088</td><td> 0.91829572</td><td> 0.83473367</td><td> 0.93569631</td><td> 0.57370199</td><td> 1.000000000</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A matrix: 45 × 45 of type dbl\n",
       "\\begin{tabular}{r|lllllllllllllllllllll}\n",
       "  & early\\_childhood & age\\_middle\\_to\\_oldest\\_old & poor\\_health & disability & one\\_parent\\_households & three\\_or\\_more\\_children\\_households & low\\_skilled\\_employment & farmers & unemployment & no\\_higher\\_education & ⋯ & social\\_network & housing\\_characteristics & physical\\_environment & sensitivity & prepare & respond & recover & adaptive\\_capacity & enhanced\\_exposure & social\\_vulnerability\\\\\n",
       "\\hline\n",
       "\tearly\\_childhood &  1.000000000 & -0.32493451 & -0.19669611 & -0.348783559 &  0.09850766 &  0.25303355 &  0.013435867 & -0.01978601 & -0.13004664 & -0.137898158 & ⋯ & -0.38366160 & -0.160256869 & -0.03372868 &  0.056874631 &  0.00745299 & -0.13050168 & -0.26465066 & -0.12476835 & -0.13656575 & -0.092781282\\\\\n",
       "\tage\\_middle\\_to\\_oldest\\_old & -0.324934515 &  1.00000000 &  0.30653419 &  0.524380117 & -0.17156982 & -0.21339372 & -0.018174118 &  0.11130965 &  0.07775926 &  0.196145051 & ⋯ &  0.26164119 &  0.169576750 & -0.13170866 &  0.660967764 & -0.26899725 & -0.10851529 &  0.13857486 & -0.15313015 & -0.01957992 &  0.040267361\\\\\n",
       "\tpoor\\_health & -0.196696114 &  0.30653419 &  1.00000000 &  0.635159460 &  0.30466708 & -0.20580461 &  0.291697215 & -0.13013724 &  0.57211583 &  0.424979686 & ⋯ &  0.42639629 &  0.022511126 &  0.15267300 &  0.765871577 &  0.29258876 &  0.35238297 &  0.51649964 &  0.33806981 &  0.16419232 &  0.534897413\\\\\n",
       "\tdisability & -0.348783559 &  0.52438012 &  0.63515946 &  1.000000000 &  0.26578634 & -0.26676366 &  0.279103306 & -0.12151826 &  0.55274473 &  0.435642179 & ⋯ &  0.47151022 &  0.042917765 &  0.10336068 &  0.794732682 &  0.17260065 &  0.27259948 &  0.49373907 &  0.25145006 &  0.12903530 &  0.461766118\\\\\n",
       "\tone\\_parent\\_households &  0.098507657 & -0.17156982 &  0.30466708 &  0.265786342 &  1.00000000 &  0.13073343 &  0.399706920 & -0.22809509 &  0.52557353 &  0.268872631 & ⋯ &  0.03932941 & -0.253554724 &  0.20588712 &  0.218302790 &  0.40820193 &  0.24661411 &  0.28460567 &  0.27320175 &  0.03805277 &  0.332412186\\\\\n",
       "\tthree\\_or\\_more\\_children\\_households &  0.253033549 & -0.21339372 & -0.20580461 & -0.266763657 &  0.13073343 &  1.00000000 &  0.120114454 &  0.27576238 & -0.12234336 & -0.066259317 & ⋯ & -0.68726343 & -0.075504006 & -0.31261976 & -0.190010345 & -0.27880835 & -0.39096576 & -0.39137609 & -0.41701881 & -0.35520161 & -0.464972587\\\\\n",
       "\tlow\\_skilled\\_employment &  0.013435867 & -0.01817412 &  0.29169722 &  0.279103306 &  0.39970692 &  0.12011445 &  1.000000000 &  0.06854214 &  0.44466332 &  0.385397713 & ⋯ &  0.07614730 & -0.027756007 & -0.04957132 &  0.248442188 &  0.25359005 &  0.23286477 &  0.35800972 &  0.18890973 & -0.06651743 &  0.217004201\\\\\n",
       "\tfarmers & -0.019786008 &  0.11130965 & -0.13013724 & -0.121518259 & -0.22809509 &  0.27576238 &  0.068542137 &  1.00000000 & -0.09975730 &  0.097044899 & ⋯ & -0.24591427 &  0.504804657 & -0.53228034 & -0.070281154 & -0.23117977 & -0.16727776 &  0.01664975 & -0.17952180 & -0.19571665 & -0.282746200\\\\\n",
       "\tunemployment & -0.130046641 &  0.07775926 &  0.57211583 &  0.552744730 &  0.52557353 & -0.12234336 &  0.444663319 & -0.09975730 &  1.00000000 &  0.560757353 & ⋯ &  0.42159647 &  0.043276112 &  0.14323937 &  0.470747553 &  0.52914364 &  0.49626060 &  0.67751217 &  0.50210064 &  0.16835665 &  0.580520974\\\\\n",
       "\tno\\_higher\\_education & -0.137898158 &  0.19614505 &  0.42497969 &  0.435642179 &  0.26887263 & -0.06625932 &  0.385397713 &  0.09704490 &  0.56075735 &  1.000000000 & ⋯ &  0.29491114 &  0.151364799 & -0.03472561 &  0.403287370 &  0.32913634 &  0.37864876 &  0.57496105 &  0.33645163 &  0.06372239 &  0.386552633\\\\\n",
       "\tspeak\\_english &  0.159789220 & -0.25558916 &  0.04837885 & -0.098596519 &  0.11246126 & -0.16309966 &  0.091922308 & -0.28731064 &  0.13838698 & -0.050461791 & ⋯ &  0.13908692 & -0.140883234 &  0.28951633 & -0.064086473 &  0.62692745 &  0.49581042 &  0.26247788 &  0.50071430 &  0.19279833 &  0.453890551\\\\\n",
       "\tno\\_internet & -0.171955862 &  0.34737657 &  0.35435344 &  0.403307921 &  0.04603465 & -0.10769893 &  0.396781083 &  0.40227118 &  0.44235813 &  0.506317270 & ⋯ &  0.33097211 &  0.422236585 & -0.23707766 &  0.409525528 &  0.20552774 &  0.31968299 &  0.62414926 &  0.29067519 &  0.04031925 &  0.307150723\\\\\n",
       "\tnew\\_residents & -0.051379223 & -0.15971228 & -0.10907521 & -0.116649178 & -0.21942293 & -0.35028773 & -0.324276498 & -0.19301376 & -0.14388092 & -0.183981741 & ⋯ &  0.23901731 &  0.037697828 &  0.18031885 & -0.191716536 &  0.45319577 &  0.43205921 &  0.12879105 &  0.44553145 &  0.20109990 &  0.347594200\\\\\n",
       "\tforeign\\_nationals &  0.089204917 & -0.34831679 & -0.08502597 & -0.243047847 & -0.05245160 & -0.36431346 & -0.208958688 & -0.35112423 & -0.04082757 & -0.174546953 & ⋯ &  0.25145621 & -0.087764849 &  0.35614831 & -0.257713163 &  0.65661147 &  0.53908801 &  0.20154501 &  0.58794853 &  0.29241963 &  0.482867295\\\\\n",
       "\tno\\_car & -0.225941633 & -0.01883762 &  0.38646681 &  0.349463767 &  0.22544232 & -0.52259886 &  0.046124863 & -0.35333484 &  0.44095634 &  0.237776379 & ⋯ &  0.70498011 &  0.053488925 &  0.51586944 &  0.215564107 &  0.68895359 &  0.77101618 &  0.78780492 &  0.80994503 &  0.54021233 &  0.838259521\\\\\n",
       "\trented &  0.002567175 & -0.32199244 &  0.22335071 &  0.126685685 &  0.42133306 & -0.35310108 &  0.061563474 & -0.45121952 &  0.39073362 &  0.084570979 & ⋯ &  0.45635738 & -0.187597533 &  0.46911229 &  0.013435087 &  0.86540369 &  0.64376464 &  0.50093892 &  0.76420116 &  0.33867084 &  0.731306447\\\\\n",
       "\tjourney\\_time &  0.158255605 & -0.21205543 & -0.17667633 & -0.222821823 & -0.03706221 &  0.23763496 &  0.025850812 &  0.11678757 & -0.17818191 & -0.088076691 & ⋯ & -0.28522486 & -0.045655661 & -0.08990361 & -0.198950445 & -0.09560752 &  0.22052776 & -0.23087296 &  0.10578340 & -0.11761271 &  0.008771085\\\\\n",
       "\tnot\\_volunteers &  0.108404034 & -0.21304424 &  0.25229599 &  0.128253747 &  0.39590010 & -0.18634699 &  0.207617082 & -0.39555772 &  0.35920035 &  0.158925312 & ⋯ &  0.50891924 & -0.290180669 &  0.43997269 &  0.121095455 &  0.45026808 &  0.44654439 &  0.37008743 &  0.44186793 &  0.24385282 &  0.492609731\\\\\n",
       "\tprimary\\_school\\_age & -0.582863517 &  0.37135841 &  0.23178782 &  0.365188402 & -0.21914478 & -0.61570082 & -0.103842573 & -0.05264041 &  0.14261364 &  0.145501555 & ⋯ &  0.73178786 &  0.216055278 &  0.12681477 &  0.169181539 &  0.10760710 &  0.33282560 &  0.43452917 &  0.32385574 &  0.26384884 &  0.342381580\\\\\n",
       "\tone\\_person\\_households & -0.289474835 &  0.36267025 &  0.36494585 &  0.445420560 & -0.09845405 & -0.56641225 &  0.047846714 & -0.04144683 &  0.33765654 &  0.282795242 & ⋯ &  0.75045960 &  0.321140599 &  0.11646612 &  0.387791315 &  0.34092200 &  0.48009915 &  0.67081769 &  0.50630006 &  0.32157576 &  0.553804415\\\\\n",
       "\tno\\_central\\_heating & -0.142289862 &  0.03779754 &  0.09161714 &  0.089734980 & -0.07580625 & -0.22561659 & -0.027559381 &  0.11521648 &  0.12626793 &  0.090393332 & ⋯ &  0.27721567 &  0.589072386 &  0.02141389 &  0.033733420 &  0.22104280 &  0.28103287 &  0.43420592 &  0.36415663 &  0.40145124 &  0.312820361\\\\\n",
       "\tprivate\\_water\\_supply &  0.001127354 &  0.05584319 & -0.14674819 & -0.159032326 & -0.23398375 &  0.30658908 &  0.061452795 &  0.71896521 & -0.13401411 &  0.042351139 & ⋯ & -0.28998956 &  0.553849147 & -0.52246046 & -0.109201576 & -0.27089731 & -0.20519093 & -0.03451958 & -0.19622269 & -0.15441491 & -0.305736645\\\\\n",
       "\tyear\\_built & -0.207242519 &  0.17554207 &  0.06408561 &  0.111494130 & -0.22330381 & -0.21114257 & -0.087738295 &  0.22166419 &  0.02703836 &  0.081079787 & ⋯ &  0.26318819 &  0.620950841 & -0.03434341 &  0.063147973 &  0.01462106 &  0.16448416 &  0.37855146 &  0.21251976 &  0.36738596 &  0.185202760\\\\\n",
       "\tmobile\\_home & -0.002882623 &  0.01460049 &  0.02558688 &  0.006689724 & -0.03103467 &  0.05752729 &  0.026925013 &  0.12928285 &  0.05310555 &  0.088576191 & ⋯ & -0.01959576 &  0.442263639 & -0.12155848 &  0.019308979 & -0.04667923 & -0.02275203 &  0.10294588 &  0.02668735 &  0.16648826 &  0.001256837\\\\\n",
       "\tunoccupied\\_dwellings & -0.091314689 &  0.18455898 &  0.02763047 &  0.069645093 & -0.13614674 & -0.13588649 & -0.049737523 &  0.20905626 &  0.04712357 &  0.115643499 & ⋯ &  0.11177671 &  0.555694679 & -0.16749821 &  0.083618308 &  0.03907978 &  0.06995558 &  0.22347137 &  0.12525194 &  0.19471828 &  0.090953053\\\\\n",
       "\ttree\\_cover\\_density &  0.034488254 & -0.07166947 &  0.10003601 &  0.072430433 &  0.18333969 & -0.08450058 &  0.057292604 & -0.30875578 &  0.10882391 &  0.003406082 & ⋯ &  0.11393401 & -0.238307149 &  0.83825268 &  0.059376078 &  0.12521936 &  0.13556357 &  0.06591669 &  0.12328634 &  0.66775824 &  0.299616504\\\\\n",
       "\timpervious & -0.091034560 & -0.14914081 &  0.15592109 &  0.100854300 &  0.16183117 & -0.43960813 & -0.140399181 & -0.58361507 &  0.13131766 & -0.061623752 & ⋯ &  0.46135537 & -0.262154110 &  0.83825268 &  0.007285676 &  0.42179354 &  0.44156161 &  0.30034761 &  0.46939893 &  0.65235633 &  0.567816655\\\\\n",
       "\tage &  0.580975682 &  0.58097568 &  0.09452898 &  0.151122124 & -0.06287885 &  0.03411488 & -0.004077839 &  0.07876719 & -0.04499963 &  0.050128513 & ⋯ & -0.10501335 &  0.008020888 & -0.14237889 &  0.617790397 & -0.22509054 & -0.20570308 & -0.10850350 & -0.23916535 & -0.13438228 & -0.045194594\\\\\n",
       "\thealth & -0.301636240 &  0.45947425 &  0.90420116 &  0.904201156 &  0.31544608 & -0.26131810 &  0.315638018 & -0.13915902 &  0.62201898 &  0.475901772 & ⋯ &  0.49651923 &  0.036180495 &  0.14158004 &  0.862974046 &  0.25723779 &  0.34559923 &  0.55863604 &  0.32598934 &  0.16214734 &  0.551129317\\\\\n",
       "\tincome &  0.075916346 & -0.07553580 &  0.29380663 &  0.250336170 &  0.64505548 &  0.49554535 &  0.717456839 &  0.35871273 &  0.61691992 &  0.439651774 & ⋯ & -0.13977031 &  0.067508516 & -0.19245359 &  0.238988854 &  0.24030818 &  0.14734169 &  0.33364262 &  0.12975823 & -0.14504558 &  0.134891693\\\\\n",
       "\tinfo\\_access\\_use & -0.078409030 &  0.15044432 &  0.43250507 &  0.386854037 &  0.22331894 & -0.17612469 &  0.456743892 &  0.11076648 &  0.59647221 &  0.760734303 & ⋯ &  0.39972040 &  0.226098780 &  0.00926576 &  0.391228997 &  0.60697954 &  0.62398411 &  0.76372504 &  0.58933978 &  0.15511165 &  0.599660894\\\\\n",
       "\tlocal\\_knowledge &  0.021418562 & -0.28766827 & -0.10990858 & -0.203676181 & -0.15394725 & -0.40463844 & -0.301941075 & -0.30811472 & -0.10459002 & -0.203014621 & ⋯ &  0.27772755 & -0.028350136 &  0.30377116 & -0.254486744 &  0.62842138 &  0.54990602 &  0.18705072 &  0.58520155 &  0.27945233 &  0.470243606\\\\\n",
       "\tmobility & -0.225941633 & -0.01883762 &  0.38646681 &  0.349463767 &  0.22544232 & -0.52259886 &  0.046124863 & -0.35333484 &  0.44095634 &  0.237776379 & ⋯ &  0.70498011 &  0.053488925 &  0.51586944 &  0.215564107 &  0.68895359 &  0.77101618 &  0.78780492 &  0.80994503 &  0.54021233 &  0.838259521\\\\\n",
       "\tphysical\\_access &  0.158255605 & -0.21205543 & -0.17667633 & -0.222821823 & -0.03706221 &  0.23763496 &  0.025850812 &  0.11678757 & -0.17818191 & -0.088076691 & ⋯ & -0.28522486 & -0.045655661 & -0.08990361 & -0.198950445 & -0.09560752 &  0.22052776 & -0.23087296 &  0.10578340 & -0.11761271 &  0.008771085\\\\\n",
       "\ttenure &  0.002567175 & -0.32199244 &  0.22335071 &  0.126685685 &  0.42133306 & -0.35310108 &  0.061563474 & -0.45121952 &  0.39073362 &  0.084570979 & ⋯ &  0.45635738 & -0.187597533 &  0.46911229 &  0.013435087 &  0.86540369 &  0.64376464 &  0.50093892 &  0.76420116 &  0.33867084 &  0.731306447\\\\\n",
       "\tsocial\\_network & -0.383661598 &  0.26164119 &  0.42639629 &  0.471510222 &  0.03932941 & -0.68726343 &  0.076147297 & -0.24591427 &  0.42159647 &  0.294911138 & ⋯ &  1.00000000 &  0.124046433 &  0.34314795 &  0.340532929 &  0.45139215 &  0.63252801 &  0.74098527 &  0.63883230 &  0.41647779 &  0.697477175\\\\\n",
       "\thousing\\_characteristics & -0.160256869 &  0.16957675 &  0.02251113 &  0.042917765 & -0.25355472 & -0.07550401 & -0.027756007 &  0.50480466 &  0.04327611 &  0.151364799 & ⋯ &  0.12404643 &  1.000000000 & -0.29851456 &  0.032806901 & -0.01550888 &  0.10410836 &  0.39997203 &  0.19276815 &  0.35325440 &  0.103010067\\\\\n",
       "\tphysical\\_environment & -0.033728676 & -0.13170866 &  0.15267300 &  0.103360679 &  0.20588712 & -0.31261976 & -0.049571316 & -0.53228034 &  0.14323937 & -0.034725609 & ⋯ &  0.34314795 & -0.298514559 &  1.00000000 &  0.039762327 &  0.32628163 &  0.34424297 &  0.21846891 &  0.35352423 &  0.78742043 &  0.517405536\\\\\n",
       "\tsensitivity &  0.056874631 &  0.66096776 &  0.76587158 &  0.794732682 &  0.21830279 & -0.19001035 &  0.248442188 & -0.07028115 &  0.47074755 &  0.403287370 & ⋯ &  0.34053293 &  0.032806901 &  0.03976233 &  1.000000000 &  0.08937894 &  0.16939852 &  0.38805513 &  0.13676922 &  0.06016465 &  0.414383023\\\\\n",
       "\tprepare &  0.007452990 & -0.26899725 &  0.29258876 &  0.172600648 &  0.40820193 & -0.27880835 &  0.253590047 & -0.23117977 &  0.52914364 &  0.329136336 & ⋯ &  0.45139215 & -0.015508877 &  0.32628163 &  0.089378944 &  1.00000000 &  0.82877495 &  0.69063013 &  0.89027582 &  0.30981126 &  0.826010881\\\\\n",
       "\trespond & -0.130501679 & -0.10851529 &  0.35238297 &  0.272599478 &  0.24661411 & -0.39096576 &  0.232864767 & -0.16727776 &  0.49626060 &  0.378648760 & ⋯ &  0.63252801 &  0.104108361 &  0.34424297 &  0.169398515 &  0.82877495 &  1.00000000 &  0.79468845 &  0.96950374 &  0.40467386 &  0.918295723\\\\\n",
       "\trecover & -0.264650656 &  0.13857486 &  0.51649964 &  0.493739070 &  0.28460567 & -0.39137609 &  0.358009724 &  0.01664975 &  0.67751217 &  0.574961054 & ⋯ &  0.74098527 &  0.399972035 &  0.21846891 &  0.388055130 &  0.69063013 &  0.79468845 &  1.00000000 &  0.82225951 &  0.47247540 &  0.834733672\\\\\n",
       "\tadaptive\\_capacity & -0.124768352 & -0.15313015 &  0.33806981 &  0.251450062 &  0.27320175 & -0.41701881 &  0.188909731 & -0.17952180 &  0.50210064 &  0.336451630 & ⋯ &  0.63883230 &  0.192768146 &  0.35352423 &  0.136769221 &  0.89027582 &  0.96950374 &  0.82225951 &  1.00000000 &  0.47103374 &  0.935696312\\\\\n",
       "\tenhanced\\_exposure & -0.136565749 & -0.01957992 &  0.16419232 &  0.129035302 &  0.03805277 & -0.35520161 & -0.066517431 & -0.19571665 &  0.16835665 &  0.063722393 & ⋯ &  0.41647779 &  0.353254399 &  0.78742043 &  0.060164653 &  0.30981126 &  0.40467386 &  0.47247540 &  0.47103374 &  1.00000000 &  0.573701986\\\\\n",
       "\tsocial\\_vulnerability & -0.092781282 &  0.04026736 &  0.53489741 &  0.461766118 &  0.33241219 & -0.46497259 &  0.217004201 & -0.28274620 &  0.58052097 &  0.386552633 & ⋯ &  0.69747717 &  0.103010067 &  0.51740554 &  0.414383023 &  0.82601088 &  0.91829572 &  0.83473367 &  0.93569631 &  0.57370199 &  1.000000000\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A matrix: 45 × 45 of type dbl\n",
       "\n",
       "| <!--/--> | early_childhood | age_middle_to_oldest_old | poor_health | disability | one_parent_households | three_or_more_children_households | low_skilled_employment | farmers | unemployment | no_higher_education | ⋯ | social_network | housing_characteristics | physical_environment | sensitivity | prepare | respond | recover | adaptive_capacity | enhanced_exposure | social_vulnerability |\n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| early_childhood |  1.000000000 | -0.32493451 | -0.19669611 | -0.348783559 |  0.09850766 |  0.25303355 |  0.013435867 | -0.01978601 | -0.13004664 | -0.137898158 | ⋯ | -0.38366160 | -0.160256869 | -0.03372868 |  0.056874631 |  0.00745299 | -0.13050168 | -0.26465066 | -0.12476835 | -0.13656575 | -0.092781282 |\n",
       "| age_middle_to_oldest_old | -0.324934515 |  1.00000000 |  0.30653419 |  0.524380117 | -0.17156982 | -0.21339372 | -0.018174118 |  0.11130965 |  0.07775926 |  0.196145051 | ⋯ |  0.26164119 |  0.169576750 | -0.13170866 |  0.660967764 | -0.26899725 | -0.10851529 |  0.13857486 | -0.15313015 | -0.01957992 |  0.040267361 |\n",
       "| poor_health | -0.196696114 |  0.30653419 |  1.00000000 |  0.635159460 |  0.30466708 | -0.20580461 |  0.291697215 | -0.13013724 |  0.57211583 |  0.424979686 | ⋯ |  0.42639629 |  0.022511126 |  0.15267300 |  0.765871577 |  0.29258876 |  0.35238297 |  0.51649964 |  0.33806981 |  0.16419232 |  0.534897413 |\n",
       "| disability | -0.348783559 |  0.52438012 |  0.63515946 |  1.000000000 |  0.26578634 | -0.26676366 |  0.279103306 | -0.12151826 |  0.55274473 |  0.435642179 | ⋯ |  0.47151022 |  0.042917765 |  0.10336068 |  0.794732682 |  0.17260065 |  0.27259948 |  0.49373907 |  0.25145006 |  0.12903530 |  0.461766118 |\n",
       "| one_parent_households |  0.098507657 | -0.17156982 |  0.30466708 |  0.265786342 |  1.00000000 |  0.13073343 |  0.399706920 | -0.22809509 |  0.52557353 |  0.268872631 | ⋯ |  0.03932941 | -0.253554724 |  0.20588712 |  0.218302790 |  0.40820193 |  0.24661411 |  0.28460567 |  0.27320175 |  0.03805277 |  0.332412186 |\n",
       "| three_or_more_children_households |  0.253033549 | -0.21339372 | -0.20580461 | -0.266763657 |  0.13073343 |  1.00000000 |  0.120114454 |  0.27576238 | -0.12234336 | -0.066259317 | ⋯ | -0.68726343 | -0.075504006 | -0.31261976 | -0.190010345 | -0.27880835 | -0.39096576 | -0.39137609 | -0.41701881 | -0.35520161 | -0.464972587 |\n",
       "| low_skilled_employment |  0.013435867 | -0.01817412 |  0.29169722 |  0.279103306 |  0.39970692 |  0.12011445 |  1.000000000 |  0.06854214 |  0.44466332 |  0.385397713 | ⋯ |  0.07614730 | -0.027756007 | -0.04957132 |  0.248442188 |  0.25359005 |  0.23286477 |  0.35800972 |  0.18890973 | -0.06651743 |  0.217004201 |\n",
       "| farmers | -0.019786008 |  0.11130965 | -0.13013724 | -0.121518259 | -0.22809509 |  0.27576238 |  0.068542137 |  1.00000000 | -0.09975730 |  0.097044899 | ⋯ | -0.24591427 |  0.504804657 | -0.53228034 | -0.070281154 | -0.23117977 | -0.16727776 |  0.01664975 | -0.17952180 | -0.19571665 | -0.282746200 |\n",
       "| unemployment | -0.130046641 |  0.07775926 |  0.57211583 |  0.552744730 |  0.52557353 | -0.12234336 |  0.444663319 | -0.09975730 |  1.00000000 |  0.560757353 | ⋯ |  0.42159647 |  0.043276112 |  0.14323937 |  0.470747553 |  0.52914364 |  0.49626060 |  0.67751217 |  0.50210064 |  0.16835665 |  0.580520974 |\n",
       "| no_higher_education | -0.137898158 |  0.19614505 |  0.42497969 |  0.435642179 |  0.26887263 | -0.06625932 |  0.385397713 |  0.09704490 |  0.56075735 |  1.000000000 | ⋯ |  0.29491114 |  0.151364799 | -0.03472561 |  0.403287370 |  0.32913634 |  0.37864876 |  0.57496105 |  0.33645163 |  0.06372239 |  0.386552633 |\n",
       "| speak_english |  0.159789220 | -0.25558916 |  0.04837885 | -0.098596519 |  0.11246126 | -0.16309966 |  0.091922308 | -0.28731064 |  0.13838698 | -0.050461791 | ⋯ |  0.13908692 | -0.140883234 |  0.28951633 | -0.064086473 |  0.62692745 |  0.49581042 |  0.26247788 |  0.50071430 |  0.19279833 |  0.453890551 |\n",
       "| no_internet | -0.171955862 |  0.34737657 |  0.35435344 |  0.403307921 |  0.04603465 | -0.10769893 |  0.396781083 |  0.40227118 |  0.44235813 |  0.506317270 | ⋯ |  0.33097211 |  0.422236585 | -0.23707766 |  0.409525528 |  0.20552774 |  0.31968299 |  0.62414926 |  0.29067519 |  0.04031925 |  0.307150723 |\n",
       "| new_residents | -0.051379223 | -0.15971228 | -0.10907521 | -0.116649178 | -0.21942293 | -0.35028773 | -0.324276498 | -0.19301376 | -0.14388092 | -0.183981741 | ⋯ |  0.23901731 |  0.037697828 |  0.18031885 | -0.191716536 |  0.45319577 |  0.43205921 |  0.12879105 |  0.44553145 |  0.20109990 |  0.347594200 |\n",
       "| foreign_nationals |  0.089204917 | -0.34831679 | -0.08502597 | -0.243047847 | -0.05245160 | -0.36431346 | -0.208958688 | -0.35112423 | -0.04082757 | -0.174546953 | ⋯ |  0.25145621 | -0.087764849 |  0.35614831 | -0.257713163 |  0.65661147 |  0.53908801 |  0.20154501 |  0.58794853 |  0.29241963 |  0.482867295 |\n",
       "| no_car | -0.225941633 | -0.01883762 |  0.38646681 |  0.349463767 |  0.22544232 | -0.52259886 |  0.046124863 | -0.35333484 |  0.44095634 |  0.237776379 | ⋯ |  0.70498011 |  0.053488925 |  0.51586944 |  0.215564107 |  0.68895359 |  0.77101618 |  0.78780492 |  0.80994503 |  0.54021233 |  0.838259521 |\n",
       "| rented |  0.002567175 | -0.32199244 |  0.22335071 |  0.126685685 |  0.42133306 | -0.35310108 |  0.061563474 | -0.45121952 |  0.39073362 |  0.084570979 | ⋯ |  0.45635738 | -0.187597533 |  0.46911229 |  0.013435087 |  0.86540369 |  0.64376464 |  0.50093892 |  0.76420116 |  0.33867084 |  0.731306447 |\n",
       "| journey_time |  0.158255605 | -0.21205543 | -0.17667633 | -0.222821823 | -0.03706221 |  0.23763496 |  0.025850812 |  0.11678757 | -0.17818191 | -0.088076691 | ⋯ | -0.28522486 | -0.045655661 | -0.08990361 | -0.198950445 | -0.09560752 |  0.22052776 | -0.23087296 |  0.10578340 | -0.11761271 |  0.008771085 |\n",
       "| not_volunteers |  0.108404034 | -0.21304424 |  0.25229599 |  0.128253747 |  0.39590010 | -0.18634699 |  0.207617082 | -0.39555772 |  0.35920035 |  0.158925312 | ⋯ |  0.50891924 | -0.290180669 |  0.43997269 |  0.121095455 |  0.45026808 |  0.44654439 |  0.37008743 |  0.44186793 |  0.24385282 |  0.492609731 |\n",
       "| primary_school_age | -0.582863517 |  0.37135841 |  0.23178782 |  0.365188402 | -0.21914478 | -0.61570082 | -0.103842573 | -0.05264041 |  0.14261364 |  0.145501555 | ⋯ |  0.73178786 |  0.216055278 |  0.12681477 |  0.169181539 |  0.10760710 |  0.33282560 |  0.43452917 |  0.32385574 |  0.26384884 |  0.342381580 |\n",
       "| one_person_households | -0.289474835 |  0.36267025 |  0.36494585 |  0.445420560 | -0.09845405 | -0.56641225 |  0.047846714 | -0.04144683 |  0.33765654 |  0.282795242 | ⋯ |  0.75045960 |  0.321140599 |  0.11646612 |  0.387791315 |  0.34092200 |  0.48009915 |  0.67081769 |  0.50630006 |  0.32157576 |  0.553804415 |\n",
       "| no_central_heating | -0.142289862 |  0.03779754 |  0.09161714 |  0.089734980 | -0.07580625 | -0.22561659 | -0.027559381 |  0.11521648 |  0.12626793 |  0.090393332 | ⋯ |  0.27721567 |  0.589072386 |  0.02141389 |  0.033733420 |  0.22104280 |  0.28103287 |  0.43420592 |  0.36415663 |  0.40145124 |  0.312820361 |\n",
       "| private_water_supply |  0.001127354 |  0.05584319 | -0.14674819 | -0.159032326 | -0.23398375 |  0.30658908 |  0.061452795 |  0.71896521 | -0.13401411 |  0.042351139 | ⋯ | -0.28998956 |  0.553849147 | -0.52246046 | -0.109201576 | -0.27089731 | -0.20519093 | -0.03451958 | -0.19622269 | -0.15441491 | -0.305736645 |\n",
       "| year_built | -0.207242519 |  0.17554207 |  0.06408561 |  0.111494130 | -0.22330381 | -0.21114257 | -0.087738295 |  0.22166419 |  0.02703836 |  0.081079787 | ⋯ |  0.26318819 |  0.620950841 | -0.03434341 |  0.063147973 |  0.01462106 |  0.16448416 |  0.37855146 |  0.21251976 |  0.36738596 |  0.185202760 |\n",
       "| mobile_home | -0.002882623 |  0.01460049 |  0.02558688 |  0.006689724 | -0.03103467 |  0.05752729 |  0.026925013 |  0.12928285 |  0.05310555 |  0.088576191 | ⋯ | -0.01959576 |  0.442263639 | -0.12155848 |  0.019308979 | -0.04667923 | -0.02275203 |  0.10294588 |  0.02668735 |  0.16648826 |  0.001256837 |\n",
       "| unoccupied_dwellings | -0.091314689 |  0.18455898 |  0.02763047 |  0.069645093 | -0.13614674 | -0.13588649 | -0.049737523 |  0.20905626 |  0.04712357 |  0.115643499 | ⋯ |  0.11177671 |  0.555694679 | -0.16749821 |  0.083618308 |  0.03907978 |  0.06995558 |  0.22347137 |  0.12525194 |  0.19471828 |  0.090953053 |\n",
       "| tree_cover_density |  0.034488254 | -0.07166947 |  0.10003601 |  0.072430433 |  0.18333969 | -0.08450058 |  0.057292604 | -0.30875578 |  0.10882391 |  0.003406082 | ⋯ |  0.11393401 | -0.238307149 |  0.83825268 |  0.059376078 |  0.12521936 |  0.13556357 |  0.06591669 |  0.12328634 |  0.66775824 |  0.299616504 |\n",
       "| impervious | -0.091034560 | -0.14914081 |  0.15592109 |  0.100854300 |  0.16183117 | -0.43960813 | -0.140399181 | -0.58361507 |  0.13131766 | -0.061623752 | ⋯ |  0.46135537 | -0.262154110 |  0.83825268 |  0.007285676 |  0.42179354 |  0.44156161 |  0.30034761 |  0.46939893 |  0.65235633 |  0.567816655 |\n",
       "| age |  0.580975682 |  0.58097568 |  0.09452898 |  0.151122124 | -0.06287885 |  0.03411488 | -0.004077839 |  0.07876719 | -0.04499963 |  0.050128513 | ⋯ | -0.10501335 |  0.008020888 | -0.14237889 |  0.617790397 | -0.22509054 | -0.20570308 | -0.10850350 | -0.23916535 | -0.13438228 | -0.045194594 |\n",
       "| health | -0.301636240 |  0.45947425 |  0.90420116 |  0.904201156 |  0.31544608 | -0.26131810 |  0.315638018 | -0.13915902 |  0.62201898 |  0.475901772 | ⋯ |  0.49651923 |  0.036180495 |  0.14158004 |  0.862974046 |  0.25723779 |  0.34559923 |  0.55863604 |  0.32598934 |  0.16214734 |  0.551129317 |\n",
       "| income |  0.075916346 | -0.07553580 |  0.29380663 |  0.250336170 |  0.64505548 |  0.49554535 |  0.717456839 |  0.35871273 |  0.61691992 |  0.439651774 | ⋯ | -0.13977031 |  0.067508516 | -0.19245359 |  0.238988854 |  0.24030818 |  0.14734169 |  0.33364262 |  0.12975823 | -0.14504558 |  0.134891693 |\n",
       "| info_access_use | -0.078409030 |  0.15044432 |  0.43250507 |  0.386854037 |  0.22331894 | -0.17612469 |  0.456743892 |  0.11076648 |  0.59647221 |  0.760734303 | ⋯ |  0.39972040 |  0.226098780 |  0.00926576 |  0.391228997 |  0.60697954 |  0.62398411 |  0.76372504 |  0.58933978 |  0.15511165 |  0.599660894 |\n",
       "| local_knowledge |  0.021418562 | -0.28766827 | -0.10990858 | -0.203676181 | -0.15394725 | -0.40463844 | -0.301941075 | -0.30811472 | -0.10459002 | -0.203014621 | ⋯ |  0.27772755 | -0.028350136 |  0.30377116 | -0.254486744 |  0.62842138 |  0.54990602 |  0.18705072 |  0.58520155 |  0.27945233 |  0.470243606 |\n",
       "| mobility | -0.225941633 | -0.01883762 |  0.38646681 |  0.349463767 |  0.22544232 | -0.52259886 |  0.046124863 | -0.35333484 |  0.44095634 |  0.237776379 | ⋯ |  0.70498011 |  0.053488925 |  0.51586944 |  0.215564107 |  0.68895359 |  0.77101618 |  0.78780492 |  0.80994503 |  0.54021233 |  0.838259521 |\n",
       "| physical_access |  0.158255605 | -0.21205543 | -0.17667633 | -0.222821823 | -0.03706221 |  0.23763496 |  0.025850812 |  0.11678757 | -0.17818191 | -0.088076691 | ⋯ | -0.28522486 | -0.045655661 | -0.08990361 | -0.198950445 | -0.09560752 |  0.22052776 | -0.23087296 |  0.10578340 | -0.11761271 |  0.008771085 |\n",
       "| tenure |  0.002567175 | -0.32199244 |  0.22335071 |  0.126685685 |  0.42133306 | -0.35310108 |  0.061563474 | -0.45121952 |  0.39073362 |  0.084570979 | ⋯ |  0.45635738 | -0.187597533 |  0.46911229 |  0.013435087 |  0.86540369 |  0.64376464 |  0.50093892 |  0.76420116 |  0.33867084 |  0.731306447 |\n",
       "| social_network | -0.383661598 |  0.26164119 |  0.42639629 |  0.471510222 |  0.03932941 | -0.68726343 |  0.076147297 | -0.24591427 |  0.42159647 |  0.294911138 | ⋯ |  1.00000000 |  0.124046433 |  0.34314795 |  0.340532929 |  0.45139215 |  0.63252801 |  0.74098527 |  0.63883230 |  0.41647779 |  0.697477175 |\n",
       "| housing_characteristics | -0.160256869 |  0.16957675 |  0.02251113 |  0.042917765 | -0.25355472 | -0.07550401 | -0.027756007 |  0.50480466 |  0.04327611 |  0.151364799 | ⋯ |  0.12404643 |  1.000000000 | -0.29851456 |  0.032806901 | -0.01550888 |  0.10410836 |  0.39997203 |  0.19276815 |  0.35325440 |  0.103010067 |\n",
       "| physical_environment | -0.033728676 | -0.13170866 |  0.15267300 |  0.103360679 |  0.20588712 | -0.31261976 | -0.049571316 | -0.53228034 |  0.14323937 | -0.034725609 | ⋯ |  0.34314795 | -0.298514559 |  1.00000000 |  0.039762327 |  0.32628163 |  0.34424297 |  0.21846891 |  0.35352423 |  0.78742043 |  0.517405536 |\n",
       "| sensitivity |  0.056874631 |  0.66096776 |  0.76587158 |  0.794732682 |  0.21830279 | -0.19001035 |  0.248442188 | -0.07028115 |  0.47074755 |  0.403287370 | ⋯ |  0.34053293 |  0.032806901 |  0.03976233 |  1.000000000 |  0.08937894 |  0.16939852 |  0.38805513 |  0.13676922 |  0.06016465 |  0.414383023 |\n",
       "| prepare |  0.007452990 | -0.26899725 |  0.29258876 |  0.172600648 |  0.40820193 | -0.27880835 |  0.253590047 | -0.23117977 |  0.52914364 |  0.329136336 | ⋯ |  0.45139215 | -0.015508877 |  0.32628163 |  0.089378944 |  1.00000000 |  0.82877495 |  0.69063013 |  0.89027582 |  0.30981126 |  0.826010881 |\n",
       "| respond | -0.130501679 | -0.10851529 |  0.35238297 |  0.272599478 |  0.24661411 | -0.39096576 |  0.232864767 | -0.16727776 |  0.49626060 |  0.378648760 | ⋯ |  0.63252801 |  0.104108361 |  0.34424297 |  0.169398515 |  0.82877495 |  1.00000000 |  0.79468845 |  0.96950374 |  0.40467386 |  0.918295723 |\n",
       "| recover | -0.264650656 |  0.13857486 |  0.51649964 |  0.493739070 |  0.28460567 | -0.39137609 |  0.358009724 |  0.01664975 |  0.67751217 |  0.574961054 | ⋯ |  0.74098527 |  0.399972035 |  0.21846891 |  0.388055130 |  0.69063013 |  0.79468845 |  1.00000000 |  0.82225951 |  0.47247540 |  0.834733672 |\n",
       "| adaptive_capacity | -0.124768352 | -0.15313015 |  0.33806981 |  0.251450062 |  0.27320175 | -0.41701881 |  0.188909731 | -0.17952180 |  0.50210064 |  0.336451630 | ⋯ |  0.63883230 |  0.192768146 |  0.35352423 |  0.136769221 |  0.89027582 |  0.96950374 |  0.82225951 |  1.00000000 |  0.47103374 |  0.935696312 |\n",
       "| enhanced_exposure | -0.136565749 | -0.01957992 |  0.16419232 |  0.129035302 |  0.03805277 | -0.35520161 | -0.066517431 | -0.19571665 |  0.16835665 |  0.063722393 | ⋯ |  0.41647779 |  0.353254399 |  0.78742043 |  0.060164653 |  0.30981126 |  0.40467386 |  0.47247540 |  0.47103374 |  1.00000000 |  0.573701986 |\n",
       "| social_vulnerability | -0.092781282 |  0.04026736 |  0.53489741 |  0.461766118 |  0.33241219 | -0.46497259 |  0.217004201 | -0.28274620 |  0.58052097 |  0.386552633 | ⋯ |  0.69747717 |  0.103010067 |  0.51740554 |  0.414383023 |  0.82601088 |  0.91829572 |  0.83473367 |  0.93569631 |  0.57370199 |  1.000000000 |\n",
       "\n"
      ],
      "text/plain": [
       "                                  early_childhood age_middle_to_oldest_old\n",
       "early_childhood                    1.000000000    -0.32493451             \n",
       "age_middle_to_oldest_old          -0.324934515     1.00000000             \n",
       "poor_health                       -0.196696114     0.30653419             \n",
       "disability                        -0.348783559     0.52438012             \n",
       "one_parent_households              0.098507657    -0.17156982             \n",
       "three_or_more_children_households  0.253033549    -0.21339372             \n",
       "low_skilled_employment             0.013435867    -0.01817412             \n",
       "farmers                           -0.019786008     0.11130965             \n",
       "unemployment                      -0.130046641     0.07775926             \n",
       "no_higher_education               -0.137898158     0.19614505             \n",
       "speak_english                      0.159789220    -0.25558916             \n",
       "no_internet                       -0.171955862     0.34737657             \n",
       "new_residents                     -0.051379223    -0.15971228             \n",
       "foreign_nationals                  0.089204917    -0.34831679             \n",
       "no_car                            -0.225941633    -0.01883762             \n",
       "rented                             0.002567175    -0.32199244             \n",
       "journey_time                       0.158255605    -0.21205543             \n",
       "not_volunteers                     0.108404034    -0.21304424             \n",
       "primary_school_age                -0.582863517     0.37135841             \n",
       "one_person_households             -0.289474835     0.36267025             \n",
       "no_central_heating                -0.142289862     0.03779754             \n",
       "private_water_supply               0.001127354     0.05584319             \n",
       "year_built                        -0.207242519     0.17554207             \n",
       "mobile_home                       -0.002882623     0.01460049             \n",
       "unoccupied_dwellings              -0.091314689     0.18455898             \n",
       "tree_cover_density                 0.034488254    -0.07166947             \n",
       "impervious                        -0.091034560    -0.14914081             \n",
       "age                                0.580975682     0.58097568             \n",
       "health                            -0.301636240     0.45947425             \n",
       "income                             0.075916346    -0.07553580             \n",
       "info_access_use                   -0.078409030     0.15044432             \n",
       "local_knowledge                    0.021418562    -0.28766827             \n",
       "mobility                          -0.225941633    -0.01883762             \n",
       "physical_access                    0.158255605    -0.21205543             \n",
       "tenure                             0.002567175    -0.32199244             \n",
       "social_network                    -0.383661598     0.26164119             \n",
       "housing_characteristics           -0.160256869     0.16957675             \n",
       "physical_environment              -0.033728676    -0.13170866             \n",
       "sensitivity                        0.056874631     0.66096776             \n",
       "prepare                            0.007452990    -0.26899725             \n",
       "respond                           -0.130501679    -0.10851529             \n",
       "recover                           -0.264650656     0.13857486             \n",
       "adaptive_capacity                 -0.124768352    -0.15313015             \n",
       "enhanced_exposure                 -0.136565749    -0.01957992             \n",
       "social_vulnerability              -0.092781282     0.04026736             \n",
       "                                  poor_health disability  \n",
       "early_childhood                   -0.19669611 -0.348783559\n",
       "age_middle_to_oldest_old           0.30653419  0.524380117\n",
       "poor_health                        1.00000000  0.635159460\n",
       "disability                         0.63515946  1.000000000\n",
       "one_parent_households              0.30466708  0.265786342\n",
       "three_or_more_children_households -0.20580461 -0.266763657\n",
       "low_skilled_employment             0.29169722  0.279103306\n",
       "farmers                           -0.13013724 -0.121518259\n",
       "unemployment                       0.57211583  0.552744730\n",
       "no_higher_education                0.42497969  0.435642179\n",
       "speak_english                      0.04837885 -0.098596519\n",
       "no_internet                        0.35435344  0.403307921\n",
       "new_residents                     -0.10907521 -0.116649178\n",
       "foreign_nationals                 -0.08502597 -0.243047847\n",
       "no_car                             0.38646681  0.349463767\n",
       "rented                             0.22335071  0.126685685\n",
       "journey_time                      -0.17667633 -0.222821823\n",
       "not_volunteers                     0.25229599  0.128253747\n",
       "primary_school_age                 0.23178782  0.365188402\n",
       "one_person_households              0.36494585  0.445420560\n",
       "no_central_heating                 0.09161714  0.089734980\n",
       "private_water_supply              -0.14674819 -0.159032326\n",
       "year_built                         0.06408561  0.111494130\n",
       "mobile_home                        0.02558688  0.006689724\n",
       "unoccupied_dwellings               0.02763047  0.069645093\n",
       "tree_cover_density                 0.10003601  0.072430433\n",
       "impervious                         0.15592109  0.100854300\n",
       "age                                0.09452898  0.151122124\n",
       "health                             0.90420116  0.904201156\n",
       "income                             0.29380663  0.250336170\n",
       "info_access_use                    0.43250507  0.386854037\n",
       "local_knowledge                   -0.10990858 -0.203676181\n",
       "mobility                           0.38646681  0.349463767\n",
       "physical_access                   -0.17667633 -0.222821823\n",
       "tenure                             0.22335071  0.126685685\n",
       "social_network                     0.42639629  0.471510222\n",
       "housing_characteristics            0.02251113  0.042917765\n",
       "physical_environment               0.15267300  0.103360679\n",
       "sensitivity                        0.76587158  0.794732682\n",
       "prepare                            0.29258876  0.172600648\n",
       "respond                            0.35238297  0.272599478\n",
       "recover                            0.51649964  0.493739070\n",
       "adaptive_capacity                  0.33806981  0.251450062\n",
       "enhanced_exposure                  0.16419232  0.129035302\n",
       "social_vulnerability               0.53489741  0.461766118\n",
       "                                  one_parent_households\n",
       "early_childhood                    0.09850766          \n",
       "age_middle_to_oldest_old          -0.17156982          \n",
       "poor_health                        0.30466708          \n",
       "disability                         0.26578634          \n",
       "one_parent_households              1.00000000          \n",
       "three_or_more_children_households  0.13073343          \n",
       "low_skilled_employment             0.39970692          \n",
       "farmers                           -0.22809509          \n",
       "unemployment                       0.52557353          \n",
       "no_higher_education                0.26887263          \n",
       "speak_english                      0.11246126          \n",
       "no_internet                        0.04603465          \n",
       "new_residents                     -0.21942293          \n",
       "foreign_nationals                 -0.05245160          \n",
       "no_car                             0.22544232          \n",
       "rented                             0.42133306          \n",
       "journey_time                      -0.03706221          \n",
       "not_volunteers                     0.39590010          \n",
       "primary_school_age                -0.21914478          \n",
       "one_person_households             -0.09845405          \n",
       "no_central_heating                -0.07580625          \n",
       "private_water_supply              -0.23398375          \n",
       "year_built                        -0.22330381          \n",
       "mobile_home                       -0.03103467          \n",
       "unoccupied_dwellings              -0.13614674          \n",
       "tree_cover_density                 0.18333969          \n",
       "impervious                         0.16183117          \n",
       "age                               -0.06287885          \n",
       "health                             0.31544608          \n",
       "income                             0.64505548          \n",
       "info_access_use                    0.22331894          \n",
       "local_knowledge                   -0.15394725          \n",
       "mobility                           0.22544232          \n",
       "physical_access                   -0.03706221          \n",
       "tenure                             0.42133306          \n",
       "social_network                     0.03932941          \n",
       "housing_characteristics           -0.25355472          \n",
       "physical_environment               0.20588712          \n",
       "sensitivity                        0.21830279          \n",
       "prepare                            0.40820193          \n",
       "respond                            0.24661411          \n",
       "recover                            0.28460567          \n",
       "adaptive_capacity                  0.27320175          \n",
       "enhanced_exposure                  0.03805277          \n",
       "social_vulnerability               0.33241219          \n",
       "                                  three_or_more_children_households\n",
       "early_childhood                    0.25303355                      \n",
       "age_middle_to_oldest_old          -0.21339372                      \n",
       "poor_health                       -0.20580461                      \n",
       "disability                        -0.26676366                      \n",
       "one_parent_households              0.13073343                      \n",
       "three_or_more_children_households  1.00000000                      \n",
       "low_skilled_employment             0.12011445                      \n",
       "farmers                            0.27576238                      \n",
       "unemployment                      -0.12234336                      \n",
       "no_higher_education               -0.06625932                      \n",
       "speak_english                     -0.16309966                      \n",
       "no_internet                       -0.10769893                      \n",
       "new_residents                     -0.35028773                      \n",
       "foreign_nationals                 -0.36431346                      \n",
       "no_car                            -0.52259886                      \n",
       "rented                            -0.35310108                      \n",
       "journey_time                       0.23763496                      \n",
       "not_volunteers                    -0.18634699                      \n",
       "primary_school_age                -0.61570082                      \n",
       "one_person_households             -0.56641225                      \n",
       "no_central_heating                -0.22561659                      \n",
       "private_water_supply               0.30658908                      \n",
       "year_built                        -0.21114257                      \n",
       "mobile_home                        0.05752729                      \n",
       "unoccupied_dwellings              -0.13588649                      \n",
       "tree_cover_density                -0.08450058                      \n",
       "impervious                        -0.43960813                      \n",
       "age                                0.03411488                      \n",
       "health                            -0.26131810                      \n",
       "income                             0.49554535                      \n",
       "info_access_use                   -0.17612469                      \n",
       "local_knowledge                   -0.40463844                      \n",
       "mobility                          -0.52259886                      \n",
       "physical_access                    0.23763496                      \n",
       "tenure                            -0.35310108                      \n",
       "social_network                    -0.68726343                      \n",
       "housing_characteristics           -0.07550401                      \n",
       "physical_environment              -0.31261976                      \n",
       "sensitivity                       -0.19001035                      \n",
       "prepare                           -0.27880835                      \n",
       "respond                           -0.39096576                      \n",
       "recover                           -0.39137609                      \n",
       "adaptive_capacity                 -0.41701881                      \n",
       "enhanced_exposure                 -0.35520161                      \n",
       "social_vulnerability              -0.46497259                      \n",
       "                                  low_skilled_employment farmers    \n",
       "early_childhood                    0.013435867           -0.01978601\n",
       "age_middle_to_oldest_old          -0.018174118            0.11130965\n",
       "poor_health                        0.291697215           -0.13013724\n",
       "disability                         0.279103306           -0.12151826\n",
       "one_parent_households              0.399706920           -0.22809509\n",
       "three_or_more_children_households  0.120114454            0.27576238\n",
       "low_skilled_employment             1.000000000            0.06854214\n",
       "farmers                            0.068542137            1.00000000\n",
       "unemployment                       0.444663319           -0.09975730\n",
       "no_higher_education                0.385397713            0.09704490\n",
       "speak_english                      0.091922308           -0.28731064\n",
       "no_internet                        0.396781083            0.40227118\n",
       "new_residents                     -0.324276498           -0.19301376\n",
       "foreign_nationals                 -0.208958688           -0.35112423\n",
       "no_car                             0.046124863           -0.35333484\n",
       "rented                             0.061563474           -0.45121952\n",
       "journey_time                       0.025850812            0.11678757\n",
       "not_volunteers                     0.207617082           -0.39555772\n",
       "primary_school_age                -0.103842573           -0.05264041\n",
       "one_person_households              0.047846714           -0.04144683\n",
       "no_central_heating                -0.027559381            0.11521648\n",
       "private_water_supply               0.061452795            0.71896521\n",
       "year_built                        -0.087738295            0.22166419\n",
       "mobile_home                        0.026925013            0.12928285\n",
       "unoccupied_dwellings              -0.049737523            0.20905626\n",
       "tree_cover_density                 0.057292604           -0.30875578\n",
       "impervious                        -0.140399181           -0.58361507\n",
       "age                               -0.004077839            0.07876719\n",
       "health                             0.315638018           -0.13915902\n",
       "income                             0.717456839            0.35871273\n",
       "info_access_use                    0.456743892            0.11076648\n",
       "local_knowledge                   -0.301941075           -0.30811472\n",
       "mobility                           0.046124863           -0.35333484\n",
       "physical_access                    0.025850812            0.11678757\n",
       "tenure                             0.061563474           -0.45121952\n",
       "social_network                     0.076147297           -0.24591427\n",
       "housing_characteristics           -0.027756007            0.50480466\n",
       "physical_environment              -0.049571316           -0.53228034\n",
       "sensitivity                        0.248442188           -0.07028115\n",
       "prepare                            0.253590047           -0.23117977\n",
       "respond                            0.232864767           -0.16727776\n",
       "recover                            0.358009724            0.01664975\n",
       "adaptive_capacity                  0.188909731           -0.17952180\n",
       "enhanced_exposure                 -0.066517431           -0.19571665\n",
       "social_vulnerability               0.217004201           -0.28274620\n",
       "                                  unemployment no_higher_education ⋯\n",
       "early_childhood                   -0.13004664  -0.137898158        ⋯\n",
       "age_middle_to_oldest_old           0.07775926   0.196145051        ⋯\n",
       "poor_health                        0.57211583   0.424979686        ⋯\n",
       "disability                         0.55274473   0.435642179        ⋯\n",
       "one_parent_households              0.52557353   0.268872631        ⋯\n",
       "three_or_more_children_households -0.12234336  -0.066259317        ⋯\n",
       "low_skilled_employment             0.44466332   0.385397713        ⋯\n",
       "farmers                           -0.09975730   0.097044899        ⋯\n",
       "unemployment                       1.00000000   0.560757353        ⋯\n",
       "no_higher_education                0.56075735   1.000000000        ⋯\n",
       "speak_english                      0.13838698  -0.050461791        ⋯\n",
       "no_internet                        0.44235813   0.506317270        ⋯\n",
       "new_residents                     -0.14388092  -0.183981741        ⋯\n",
       "foreign_nationals                 -0.04082757  -0.174546953        ⋯\n",
       "no_car                             0.44095634   0.237776379        ⋯\n",
       "rented                             0.39073362   0.084570979        ⋯\n",
       "journey_time                      -0.17818191  -0.088076691        ⋯\n",
       "not_volunteers                     0.35920035   0.158925312        ⋯\n",
       "primary_school_age                 0.14261364   0.145501555        ⋯\n",
       "one_person_households              0.33765654   0.282795242        ⋯\n",
       "no_central_heating                 0.12626793   0.090393332        ⋯\n",
       "private_water_supply              -0.13401411   0.042351139        ⋯\n",
       "year_built                         0.02703836   0.081079787        ⋯\n",
       "mobile_home                        0.05310555   0.088576191        ⋯\n",
       "unoccupied_dwellings               0.04712357   0.115643499        ⋯\n",
       "tree_cover_density                 0.10882391   0.003406082        ⋯\n",
       "impervious                         0.13131766  -0.061623752        ⋯\n",
       "age                               -0.04499963   0.050128513        ⋯\n",
       "health                             0.62201898   0.475901772        ⋯\n",
       "income                             0.61691992   0.439651774        ⋯\n",
       "info_access_use                    0.59647221   0.760734303        ⋯\n",
       "local_knowledge                   -0.10459002  -0.203014621        ⋯\n",
       "mobility                           0.44095634   0.237776379        ⋯\n",
       "physical_access                   -0.17818191  -0.088076691        ⋯\n",
       "tenure                             0.39073362   0.084570979        ⋯\n",
       "social_network                     0.42159647   0.294911138        ⋯\n",
       "housing_characteristics            0.04327611   0.151364799        ⋯\n",
       "physical_environment               0.14323937  -0.034725609        ⋯\n",
       "sensitivity                        0.47074755   0.403287370        ⋯\n",
       "prepare                            0.52914364   0.329136336        ⋯\n",
       "respond                            0.49626060   0.378648760        ⋯\n",
       "recover                            0.67751217   0.574961054        ⋯\n",
       "adaptive_capacity                  0.50210064   0.336451630        ⋯\n",
       "enhanced_exposure                  0.16835665   0.063722393        ⋯\n",
       "social_vulnerability               0.58052097   0.386552633        ⋯\n",
       "                                  social_network housing_characteristics\n",
       "early_childhood                   -0.38366160    -0.160256869           \n",
       "age_middle_to_oldest_old           0.26164119     0.169576750           \n",
       "poor_health                        0.42639629     0.022511126           \n",
       "disability                         0.47151022     0.042917765           \n",
       "one_parent_households              0.03932941    -0.253554724           \n",
       "three_or_more_children_households -0.68726343    -0.075504006           \n",
       "low_skilled_employment             0.07614730    -0.027756007           \n",
       "farmers                           -0.24591427     0.504804657           \n",
       "unemployment                       0.42159647     0.043276112           \n",
       "no_higher_education                0.29491114     0.151364799           \n",
       "speak_english                      0.13908692    -0.140883234           \n",
       "no_internet                        0.33097211     0.422236585           \n",
       "new_residents                      0.23901731     0.037697828           \n",
       "foreign_nationals                  0.25145621    -0.087764849           \n",
       "no_car                             0.70498011     0.053488925           \n",
       "rented                             0.45635738    -0.187597533           \n",
       "journey_time                      -0.28522486    -0.045655661           \n",
       "not_volunteers                     0.50891924    -0.290180669           \n",
       "primary_school_age                 0.73178786     0.216055278           \n",
       "one_person_households              0.75045960     0.321140599           \n",
       "no_central_heating                 0.27721567     0.589072386           \n",
       "private_water_supply              -0.28998956     0.553849147           \n",
       "year_built                         0.26318819     0.620950841           \n",
       "mobile_home                       -0.01959576     0.442263639           \n",
       "unoccupied_dwellings               0.11177671     0.555694679           \n",
       "tree_cover_density                 0.11393401    -0.238307149           \n",
       "impervious                         0.46135537    -0.262154110           \n",
       "age                               -0.10501335     0.008020888           \n",
       "health                             0.49651923     0.036180495           \n",
       "income                            -0.13977031     0.067508516           \n",
       "info_access_use                    0.39972040     0.226098780           \n",
       "local_knowledge                    0.27772755    -0.028350136           \n",
       "mobility                           0.70498011     0.053488925           \n",
       "physical_access                   -0.28522486    -0.045655661           \n",
       "tenure                             0.45635738    -0.187597533           \n",
       "social_network                     1.00000000     0.124046433           \n",
       "housing_characteristics            0.12404643     1.000000000           \n",
       "physical_environment               0.34314795    -0.298514559           \n",
       "sensitivity                        0.34053293     0.032806901           \n",
       "prepare                            0.45139215    -0.015508877           \n",
       "respond                            0.63252801     0.104108361           \n",
       "recover                            0.74098527     0.399972035           \n",
       "adaptive_capacity                  0.63883230     0.192768146           \n",
       "enhanced_exposure                  0.41647779     0.353254399           \n",
       "social_vulnerability               0.69747717     0.103010067           \n",
       "                                  physical_environment sensitivity  prepare    \n",
       "early_childhood                   -0.03372868           0.056874631  0.00745299\n",
       "age_middle_to_oldest_old          -0.13170866           0.660967764 -0.26899725\n",
       "poor_health                        0.15267300           0.765871577  0.29258876\n",
       "disability                         0.10336068           0.794732682  0.17260065\n",
       "one_parent_households              0.20588712           0.218302790  0.40820193\n",
       "three_or_more_children_households -0.31261976          -0.190010345 -0.27880835\n",
       "low_skilled_employment            -0.04957132           0.248442188  0.25359005\n",
       "farmers                           -0.53228034          -0.070281154 -0.23117977\n",
       "unemployment                       0.14323937           0.470747553  0.52914364\n",
       "no_higher_education               -0.03472561           0.403287370  0.32913634\n",
       "speak_english                      0.28951633          -0.064086473  0.62692745\n",
       "no_internet                       -0.23707766           0.409525528  0.20552774\n",
       "new_residents                      0.18031885          -0.191716536  0.45319577\n",
       "foreign_nationals                  0.35614831          -0.257713163  0.65661147\n",
       "no_car                             0.51586944           0.215564107  0.68895359\n",
       "rented                             0.46911229           0.013435087  0.86540369\n",
       "journey_time                      -0.08990361          -0.198950445 -0.09560752\n",
       "not_volunteers                     0.43997269           0.121095455  0.45026808\n",
       "primary_school_age                 0.12681477           0.169181539  0.10760710\n",
       "one_person_households              0.11646612           0.387791315  0.34092200\n",
       "no_central_heating                 0.02141389           0.033733420  0.22104280\n",
       "private_water_supply              -0.52246046          -0.109201576 -0.27089731\n",
       "year_built                        -0.03434341           0.063147973  0.01462106\n",
       "mobile_home                       -0.12155848           0.019308979 -0.04667923\n",
       "unoccupied_dwellings              -0.16749821           0.083618308  0.03907978\n",
       "tree_cover_density                 0.83825268           0.059376078  0.12521936\n",
       "impervious                         0.83825268           0.007285676  0.42179354\n",
       "age                               -0.14237889           0.617790397 -0.22509054\n",
       "health                             0.14158004           0.862974046  0.25723779\n",
       "income                            -0.19245359           0.238988854  0.24030818\n",
       "info_access_use                    0.00926576           0.391228997  0.60697954\n",
       "local_knowledge                    0.30377116          -0.254486744  0.62842138\n",
       "mobility                           0.51586944           0.215564107  0.68895359\n",
       "physical_access                   -0.08990361          -0.198950445 -0.09560752\n",
       "tenure                             0.46911229           0.013435087  0.86540369\n",
       "social_network                     0.34314795           0.340532929  0.45139215\n",
       "housing_characteristics           -0.29851456           0.032806901 -0.01550888\n",
       "physical_environment               1.00000000           0.039762327  0.32628163\n",
       "sensitivity                        0.03976233           1.000000000  0.08937894\n",
       "prepare                            0.32628163           0.089378944  1.00000000\n",
       "respond                            0.34424297           0.169398515  0.82877495\n",
       "recover                            0.21846891           0.388055130  0.69063013\n",
       "adaptive_capacity                  0.35352423           0.136769221  0.89027582\n",
       "enhanced_exposure                  0.78742043           0.060164653  0.30981126\n",
       "social_vulnerability               0.51740554           0.414383023  0.82601088\n",
       "                                  respond     recover     adaptive_capacity\n",
       "early_childhood                   -0.13050168 -0.26465066 -0.12476835      \n",
       "age_middle_to_oldest_old          -0.10851529  0.13857486 -0.15313015      \n",
       "poor_health                        0.35238297  0.51649964  0.33806981      \n",
       "disability                         0.27259948  0.49373907  0.25145006      \n",
       "one_parent_households              0.24661411  0.28460567  0.27320175      \n",
       "three_or_more_children_households -0.39096576 -0.39137609 -0.41701881      \n",
       "low_skilled_employment             0.23286477  0.35800972  0.18890973      \n",
       "farmers                           -0.16727776  0.01664975 -0.17952180      \n",
       "unemployment                       0.49626060  0.67751217  0.50210064      \n",
       "no_higher_education                0.37864876  0.57496105  0.33645163      \n",
       "speak_english                      0.49581042  0.26247788  0.50071430      \n",
       "no_internet                        0.31968299  0.62414926  0.29067519      \n",
       "new_residents                      0.43205921  0.12879105  0.44553145      \n",
       "foreign_nationals                  0.53908801  0.20154501  0.58794853      \n",
       "no_car                             0.77101618  0.78780492  0.80994503      \n",
       "rented                             0.64376464  0.50093892  0.76420116      \n",
       "journey_time                       0.22052776 -0.23087296  0.10578340      \n",
       "not_volunteers                     0.44654439  0.37008743  0.44186793      \n",
       "primary_school_age                 0.33282560  0.43452917  0.32385574      \n",
       "one_person_households              0.48009915  0.67081769  0.50630006      \n",
       "no_central_heating                 0.28103287  0.43420592  0.36415663      \n",
       "private_water_supply              -0.20519093 -0.03451958 -0.19622269      \n",
       "year_built                         0.16448416  0.37855146  0.21251976      \n",
       "mobile_home                       -0.02275203  0.10294588  0.02668735      \n",
       "unoccupied_dwellings               0.06995558  0.22347137  0.12525194      \n",
       "tree_cover_density                 0.13556357  0.06591669  0.12328634      \n",
       "impervious                         0.44156161  0.30034761  0.46939893      \n",
       "age                               -0.20570308 -0.10850350 -0.23916535      \n",
       "health                             0.34559923  0.55863604  0.32598934      \n",
       "income                             0.14734169  0.33364262  0.12975823      \n",
       "info_access_use                    0.62398411  0.76372504  0.58933978      \n",
       "local_knowledge                    0.54990602  0.18705072  0.58520155      \n",
       "mobility                           0.77101618  0.78780492  0.80994503      \n",
       "physical_access                    0.22052776 -0.23087296  0.10578340      \n",
       "tenure                             0.64376464  0.50093892  0.76420116      \n",
       "social_network                     0.63252801  0.74098527  0.63883230      \n",
       "housing_characteristics            0.10410836  0.39997203  0.19276815      \n",
       "physical_environment               0.34424297  0.21846891  0.35352423      \n",
       "sensitivity                        0.16939852  0.38805513  0.13676922      \n",
       "prepare                            0.82877495  0.69063013  0.89027582      \n",
       "respond                            1.00000000  0.79468845  0.96950374      \n",
       "recover                            0.79468845  1.00000000  0.82225951      \n",
       "adaptive_capacity                  0.96950374  0.82225951  1.00000000      \n",
       "enhanced_exposure                  0.40467386  0.47247540  0.47103374      \n",
       "social_vulnerability               0.91829572  0.83473367  0.93569631      \n",
       "                                  enhanced_exposure social_vulnerability\n",
       "early_childhood                   -0.13656575       -0.092781282        \n",
       "age_middle_to_oldest_old          -0.01957992        0.040267361        \n",
       "poor_health                        0.16419232        0.534897413        \n",
       "disability                         0.12903530        0.461766118        \n",
       "one_parent_households              0.03805277        0.332412186        \n",
       "three_or_more_children_households -0.35520161       -0.464972587        \n",
       "low_skilled_employment            -0.06651743        0.217004201        \n",
       "farmers                           -0.19571665       -0.282746200        \n",
       "unemployment                       0.16835665        0.580520974        \n",
       "no_higher_education                0.06372239        0.386552633        \n",
       "speak_english                      0.19279833        0.453890551        \n",
       "no_internet                        0.04031925        0.307150723        \n",
       "new_residents                      0.20109990        0.347594200        \n",
       "foreign_nationals                  0.29241963        0.482867295        \n",
       "no_car                             0.54021233        0.838259521        \n",
       "rented                             0.33867084        0.731306447        \n",
       "journey_time                      -0.11761271        0.008771085        \n",
       "not_volunteers                     0.24385282        0.492609731        \n",
       "primary_school_age                 0.26384884        0.342381580        \n",
       "one_person_households              0.32157576        0.553804415        \n",
       "no_central_heating                 0.40145124        0.312820361        \n",
       "private_water_supply              -0.15441491       -0.305736645        \n",
       "year_built                         0.36738596        0.185202760        \n",
       "mobile_home                        0.16648826        0.001256837        \n",
       "unoccupied_dwellings               0.19471828        0.090953053        \n",
       "tree_cover_density                 0.66775824        0.299616504        \n",
       "impervious                         0.65235633        0.567816655        \n",
       "age                               -0.13438228       -0.045194594        \n",
       "health                             0.16214734        0.551129317        \n",
       "income                            -0.14504558        0.134891693        \n",
       "info_access_use                    0.15511165        0.599660894        \n",
       "local_knowledge                    0.27945233        0.470243606        \n",
       "mobility                           0.54021233        0.838259521        \n",
       "physical_access                   -0.11761271        0.008771085        \n",
       "tenure                             0.33867084        0.731306447        \n",
       "social_network                     0.41647779        0.697477175        \n",
       "housing_characteristics            0.35325440        0.103010067        \n",
       "physical_environment               0.78742043        0.517405536        \n",
       "sensitivity                        0.06016465        0.414383023        \n",
       "prepare                            0.30981126        0.826010881        \n",
       "respond                            0.40467386        0.918295723        \n",
       "recover                            0.47247540        0.834733672        \n",
       "adaptive_capacity                  0.47103374        0.935696312        \n",
       "enhanced_exposure                  1.00000000        0.573701986        \n",
       "social_vulnerability               0.57370199        1.000000000        "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# check the correlations\n",
    "correlation <- cor(output_dataset %>% select(-c(all_of(GUID))), use=\"pairwise.complete.obs\")\n",
    "correlation"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "34ed4484-ecc8-4aa2-8f92-cec176dc6ed5",
   "metadata": {},
   "source": [
    "## Add geometry"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "d2dc8bd1-e2b3-4c92-94d4-37a61766265a",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 47</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>SA_GUID__1</th><th scope=col>early_childhood</th><th scope=col>age_middle_to_oldest_old</th><th scope=col>poor_health</th><th scope=col>disability</th><th scope=col>one_parent_households</th><th scope=col>three_or_more_children_households</th><th scope=col>low_skilled_employment</th><th scope=col>farmers</th><th scope=col>unemployment</th><th scope=col>⋯</th><th scope=col>housing_characteristics</th><th scope=col>physical_environment</th><th scope=col>sensitivity</th><th scope=col>prepare</th><th scope=col>respond</th><th scope=col>recover</th><th scope=col>adaptive_capacity</th><th scope=col>enhanced_exposure</th><th scope=col>social_vulnerability</th><th scope=col>geometry</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>⋯</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl[,1]&gt;</th><th scope=col>&lt;dbl[,1]&gt;</th><th scope=col>&lt;dbl[,1]&gt;</th><th scope=col>&lt;dbl[,1]&gt;</th><th scope=col>&lt;dbl[,1]&gt;</th><th scope=col>&lt;dbl[,1]&gt;</th><th scope=col>&lt;dbl[,1]&gt;</th><th scope=col>&lt;MULTIPOLYGON [m]&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>1</th><td>000581a3-4ebd-4a74-b5f8-0bd78cd7ede5</td><td> 3.3880435</td><td>-0.8683184</td><td>-0.72494112</td><td>-0.92235833</td><td>-0.9537932</td><td>-0.28864382</td><td>-0.3191812</td><td>-0.5775435</td><td>-0.61650259</td><td>⋯</td><td>-0.51537733</td><td> 0.2163239</td><td> 0.38290372</td><td>-0.4856123</td><td>-0.3377139</td><td>-1.3729086</td><td>-0.61316276</td><td>-0.3497016</td><td>-0.33398100</td><td>MULTIPOLYGON (((676048.9 72...</td></tr>\n",
       "\t<tr><th scope=row>2</th><td>00275248-3d78-4fdb-8e5c-8ff1f76aebea</td><td>-1.2041476</td><td> 1.0830212</td><td> 0.27801178</td><td>-0.62611003</td><td>-0.5813707</td><td> 0.24855343</td><td>-0.7175350</td><td> 0.2814244</td><td>-0.23523246</td><td>⋯</td><td>-0.08272206</td><td>-0.1150856</td><td>-0.20594059</td><td>-1.0185818</td><td>-0.9052009</td><td>-0.5397312</td><td>-1.02866162</td><td>-0.2313086</td><td>-0.93275401</td><td>MULTIPOLYGON (((637187.3 72...</td></tr>\n",
       "\t<tr><th scope=row>3</th><td>002b83e4-5cce-414a-8570-871a50ae0964</td><td> 0.2940109</td><td>-0.6563918</td><td> 0.07647292</td><td> 0.06773408</td><td> 0.3083236</td><td>-0.06192013</td><td>-0.7370951</td><td>-0.1126775</td><td> 0.22240140</td><td>⋯</td><td>-0.43095487</td><td> 0.3196619</td><td>-0.09575557</td><td> 1.3659655</td><td> 1.7874752</td><td>-0.1097374</td><td> 1.32022239</td><td>-0.1301417</td><td> 1.13569837</td><td>MULTIPOLYGON (((645674.5 69...</td></tr>\n",
       "\t<tr><th scope=row>4</th><td>005eec3f-d746-480f-ae2c-bc6f1151548d</td><td>-1.3337162</td><td> 1.4547264</td><td> 0.49313225</td><td> 0.45603900</td><td>-1.0918818</td><td>-1.18351563</td><td>-1.9157382</td><td>-0.5775435</td><td>-0.07660151</td><td>⋯</td><td>-0.34810226</td><td> 0.6397246</td><td> 0.46969785</td><td> 1.3940082</td><td> 0.8307672</td><td>-0.3008060</td><td> 0.88678611</td><td> 0.3410119</td><td> 1.02930797</td><td>MULTIPOLYGON (((716705.1 72...</td></tr>\n",
       "\t<tr><th scope=row>5</th><td>00b00ae4-229d-455d-84f1-d6face4876b1</td><td> 1.7131001</td><td>-1.2060316</td><td>-0.32805634</td><td>-0.03080027</td><td> 3.2416831</td><td> 1.26642096</td><td> 1.5271694</td><td>-0.5775435</td><td> 0.75768133</td><td>⋯</td><td>-0.57973227</td><td> 0.4764065</td><td> 0.06504954</td><td> 1.1356657</td><td>-0.5626938</td><td>-0.3603958</td><td> 0.06607222</td><td>-0.1208251</td><td> 0.19607516</td><td>MULTIPOLYGON (((697195.3 79...</td></tr>\n",
       "\t<tr><th scope=row>6</th><td>00df2b78-66c8-4009-89e0-0e14e15e4208</td><td> 1.5084163</td><td>-0.8589597</td><td>-1.03118100</td><td>-1.02730679</td><td>-0.4959203</td><td>-0.57201990</td><td> 0.4816479</td><td>-0.4599295</td><td>-0.97841257</td><td>⋯</td><td>-0.50830359</td><td> 0.1858483</td><td>-0.61841747</td><td>-0.5434782</td><td> 0.5417954</td><td>-1.2756320</td><td> 0.04443066</td><td>-0.3770668</td><td>-0.09735021</td><td>MULTIPOLYGON (((662960.4 71...</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 47\n",
       "\\begin{tabular}{r|lllllllllllllllllllll}\n",
       "  & SA\\_GUID\\_\\_1 & early\\_childhood & age\\_middle\\_to\\_oldest\\_old & poor\\_health & disability & one\\_parent\\_households & three\\_or\\_more\\_children\\_households & low\\_skilled\\_employment & farmers & unemployment & ⋯ & housing\\_characteristics & physical\\_environment & sensitivity & prepare & respond & recover & adaptive\\_capacity & enhanced\\_exposure & social\\_vulnerability & geometry\\\\\n",
       "  & <chr> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & ⋯ & <dbl> & <dbl> & <dbl{[},1{]}> & <dbl{[},1{]}> & <dbl{[},1{]}> & <dbl{[},1{]}> & <dbl{[},1{]}> & <dbl{[},1{]}> & <dbl{[},1{]}> & <MULTIPOLYGON {[}m{]}>\\\\\n",
       "\\hline\n",
       "\t1 & 000581a3-4ebd-4a74-b5f8-0bd78cd7ede5 &  3.3880435 & -0.8683184 & -0.72494112 & -0.92235833 & -0.9537932 & -0.28864382 & -0.3191812 & -0.5775435 & -0.61650259 & ⋯ & -0.51537733 &  0.2163239 &  0.38290372 & -0.4856123 & -0.3377139 & -1.3729086 & -0.61316276 & -0.3497016 & -0.33398100 & MULTIPOLYGON (((676048.9 72...\\\\\n",
       "\t2 & 00275248-3d78-4fdb-8e5c-8ff1f76aebea & -1.2041476 &  1.0830212 &  0.27801178 & -0.62611003 & -0.5813707 &  0.24855343 & -0.7175350 &  0.2814244 & -0.23523246 & ⋯ & -0.08272206 & -0.1150856 & -0.20594059 & -1.0185818 & -0.9052009 & -0.5397312 & -1.02866162 & -0.2313086 & -0.93275401 & MULTIPOLYGON (((637187.3 72...\\\\\n",
       "\t3 & 002b83e4-5cce-414a-8570-871a50ae0964 &  0.2940109 & -0.6563918 &  0.07647292 &  0.06773408 &  0.3083236 & -0.06192013 & -0.7370951 & -0.1126775 &  0.22240140 & ⋯ & -0.43095487 &  0.3196619 & -0.09575557 &  1.3659655 &  1.7874752 & -0.1097374 &  1.32022239 & -0.1301417 &  1.13569837 & MULTIPOLYGON (((645674.5 69...\\\\\n",
       "\t4 & 005eec3f-d746-480f-ae2c-bc6f1151548d & -1.3337162 &  1.4547264 &  0.49313225 &  0.45603900 & -1.0918818 & -1.18351563 & -1.9157382 & -0.5775435 & -0.07660151 & ⋯ & -0.34810226 &  0.6397246 &  0.46969785 &  1.3940082 &  0.8307672 & -0.3008060 &  0.88678611 &  0.3410119 &  1.02930797 & MULTIPOLYGON (((716705.1 72...\\\\\n",
       "\t5 & 00b00ae4-229d-455d-84f1-d6face4876b1 &  1.7131001 & -1.2060316 & -0.32805634 & -0.03080027 &  3.2416831 &  1.26642096 &  1.5271694 & -0.5775435 &  0.75768133 & ⋯ & -0.57973227 &  0.4764065 &  0.06504954 &  1.1356657 & -0.5626938 & -0.3603958 &  0.06607222 & -0.1208251 &  0.19607516 & MULTIPOLYGON (((697195.3 79...\\\\\n",
       "\t6 & 00df2b78-66c8-4009-89e0-0e14e15e4208 &  1.5084163 & -0.8589597 & -1.03118100 & -1.02730679 & -0.4959203 & -0.57201990 &  0.4816479 & -0.4599295 & -0.97841257 & ⋯ & -0.50830359 &  0.1858483 & -0.61841747 & -0.5434782 &  0.5417954 & -1.2756320 &  0.04443066 & -0.3770668 & -0.09735021 & MULTIPOLYGON (((662960.4 71...\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 47\n",
       "\n",
       "| <!--/--> | SA_GUID__1 &lt;chr&gt; | early_childhood &lt;dbl&gt; | age_middle_to_oldest_old &lt;dbl&gt; | poor_health &lt;dbl&gt; | disability &lt;dbl&gt; | one_parent_households &lt;dbl&gt; | three_or_more_children_households &lt;dbl&gt; | low_skilled_employment &lt;dbl&gt; | farmers &lt;dbl&gt; | unemployment &lt;dbl&gt; | ⋯ ⋯ | housing_characteristics &lt;dbl&gt; | physical_environment &lt;dbl&gt; | sensitivity &lt;dbl[,1]&gt; | prepare &lt;dbl[,1]&gt; | respond &lt;dbl[,1]&gt; | recover &lt;dbl[,1]&gt; | adaptive_capacity &lt;dbl[,1]&gt; | enhanced_exposure &lt;dbl[,1]&gt; | social_vulnerability &lt;dbl[,1]&gt; | geometry &lt;MULTIPOLYGON [m]&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| 1 | 000581a3-4ebd-4a74-b5f8-0bd78cd7ede5 |  3.3880435 | -0.8683184 | -0.72494112 | -0.92235833 | -0.9537932 | -0.28864382 | -0.3191812 | -0.5775435 | -0.61650259 | ⋯ | -0.51537733 |  0.2163239 |  0.38290372 | -0.4856123 | -0.3377139 | -1.3729086 | -0.61316276 | -0.3497016 | -0.33398100 | MULTIPOLYGON (((676048.9 72... |\n",
       "| 2 | 00275248-3d78-4fdb-8e5c-8ff1f76aebea | -1.2041476 |  1.0830212 |  0.27801178 | -0.62611003 | -0.5813707 |  0.24855343 | -0.7175350 |  0.2814244 | -0.23523246 | ⋯ | -0.08272206 | -0.1150856 | -0.20594059 | -1.0185818 | -0.9052009 | -0.5397312 | -1.02866162 | -0.2313086 | -0.93275401 | MULTIPOLYGON (((637187.3 72... |\n",
       "| 3 | 002b83e4-5cce-414a-8570-871a50ae0964 |  0.2940109 | -0.6563918 |  0.07647292 |  0.06773408 |  0.3083236 | -0.06192013 | -0.7370951 | -0.1126775 |  0.22240140 | ⋯ | -0.43095487 |  0.3196619 | -0.09575557 |  1.3659655 |  1.7874752 | -0.1097374 |  1.32022239 | -0.1301417 |  1.13569837 | MULTIPOLYGON (((645674.5 69... |\n",
       "| 4 | 005eec3f-d746-480f-ae2c-bc6f1151548d | -1.3337162 |  1.4547264 |  0.49313225 |  0.45603900 | -1.0918818 | -1.18351563 | -1.9157382 | -0.5775435 | -0.07660151 | ⋯ | -0.34810226 |  0.6397246 |  0.46969785 |  1.3940082 |  0.8307672 | -0.3008060 |  0.88678611 |  0.3410119 |  1.02930797 | MULTIPOLYGON (((716705.1 72... |\n",
       "| 5 | 00b00ae4-229d-455d-84f1-d6face4876b1 |  1.7131001 | -1.2060316 | -0.32805634 | -0.03080027 |  3.2416831 |  1.26642096 |  1.5271694 | -0.5775435 |  0.75768133 | ⋯ | -0.57973227 |  0.4764065 |  0.06504954 |  1.1356657 | -0.5626938 | -0.3603958 |  0.06607222 | -0.1208251 |  0.19607516 | MULTIPOLYGON (((697195.3 79... |\n",
       "| 6 | 00df2b78-66c8-4009-89e0-0e14e15e4208 |  1.5084163 | -0.8589597 | -1.03118100 | -1.02730679 | -0.4959203 | -0.57201990 |  0.4816479 | -0.4599295 | -0.97841257 | ⋯ | -0.50830359 |  0.1858483 | -0.61841747 | -0.5434782 |  0.5417954 | -1.2756320 |  0.04443066 | -0.3770668 | -0.09735021 | MULTIPOLYGON (((662960.4 71... |\n",
       "\n"
      ],
      "text/plain": [
       "  SA_GUID__1                           early_childhood age_middle_to_oldest_old\n",
       "1 000581a3-4ebd-4a74-b5f8-0bd78cd7ede5  3.3880435      -0.8683184              \n",
       "2 00275248-3d78-4fdb-8e5c-8ff1f76aebea -1.2041476       1.0830212              \n",
       "3 002b83e4-5cce-414a-8570-871a50ae0964  0.2940109      -0.6563918              \n",
       "4 005eec3f-d746-480f-ae2c-bc6f1151548d -1.3337162       1.4547264              \n",
       "5 00b00ae4-229d-455d-84f1-d6face4876b1  1.7131001      -1.2060316              \n",
       "6 00df2b78-66c8-4009-89e0-0e14e15e4208  1.5084163      -0.8589597              \n",
       "  poor_health disability  one_parent_households\n",
       "1 -0.72494112 -0.92235833 -0.9537932           \n",
       "2  0.27801178 -0.62611003 -0.5813707           \n",
       "3  0.07647292  0.06773408  0.3083236           \n",
       "4  0.49313225  0.45603900 -1.0918818           \n",
       "5 -0.32805634 -0.03080027  3.2416831           \n",
       "6 -1.03118100 -1.02730679 -0.4959203           \n",
       "  three_or_more_children_households low_skilled_employment farmers   \n",
       "1 -0.28864382                       -0.3191812             -0.5775435\n",
       "2  0.24855343                       -0.7175350              0.2814244\n",
       "3 -0.06192013                       -0.7370951             -0.1126775\n",
       "4 -1.18351563                       -1.9157382             -0.5775435\n",
       "5  1.26642096                        1.5271694             -0.5775435\n",
       "6 -0.57201990                        0.4816479             -0.4599295\n",
       "  unemployment ⋯ housing_characteristics physical_environment sensitivity\n",
       "1 -0.61650259  ⋯ -0.51537733              0.2163239            0.38290372\n",
       "2 -0.23523246  ⋯ -0.08272206             -0.1150856           -0.20594059\n",
       "3  0.22240140  ⋯ -0.43095487              0.3196619           -0.09575557\n",
       "4 -0.07660151  ⋯ -0.34810226              0.6397246            0.46969785\n",
       "5  0.75768133  ⋯ -0.57973227              0.4764065            0.06504954\n",
       "6 -0.97841257  ⋯ -0.50830359              0.1858483           -0.61841747\n",
       "  prepare    respond    recover    adaptive_capacity enhanced_exposure\n",
       "1 -0.4856123 -0.3377139 -1.3729086 -0.61316276       -0.3497016       \n",
       "2 -1.0185818 -0.9052009 -0.5397312 -1.02866162       -0.2313086       \n",
       "3  1.3659655  1.7874752 -0.1097374  1.32022239       -0.1301417       \n",
       "4  1.3940082  0.8307672 -0.3008060  0.88678611        0.3410119       \n",
       "5  1.1356657 -0.5626938 -0.3603958  0.06607222       -0.1208251       \n",
       "6 -0.5434782  0.5417954 -1.2756320  0.04443066       -0.3770668       \n",
       "  social_vulnerability geometry                      \n",
       "1 -0.33398100          MULTIPOLYGON (((676048.9 72...\n",
       "2 -0.93275401          MULTIPOLYGON (((637187.3 72...\n",
       "3  1.13569837          MULTIPOLYGON (((645674.5 69...\n",
       "4  1.02930797          MULTIPOLYGON (((716705.1 72...\n",
       "5  0.19607516          MULTIPOLYGON (((697195.3 79...\n",
       "6 -0.09735021          MULTIPOLYGON (((662960.4 71..."
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# add st_drop_geometry\n",
    "output_dataset_geom <- merge(output_dataset, oa, by.x=GUID, by.y=GUID, all.x = TRUE)\n",
    "head(output_dataset_geom)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "64e09111",
   "metadata": {},
   "source": [
    "# Export"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "bfa864c6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Deleting source `../../3_outputs/Ireland/2022/social_vulnerability_index_ireland_2022.geojson' using driver `GeoJSON'\n",
      "Writing layer `social_vulnerability_index_ireland_2022' to data source \n",
      "  `../../3_outputs/Ireland/2022/social_vulnerability_index_ireland_2022.geojson' using driver `GeoJSON'\n",
      "Writing 18919 features with 46 fields and geometry type Multi Polygon.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Warning message in abbreviate_shapefile_names(obj):\n",
      "“Field names abbreviated for ESRI Shapefile driver”\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Deleting layer `social_vulnerability_index_ireland_2022' using driver `ESRI Shapefile'\n",
      "Writing layer `social_vulnerability_index_ireland_2022' to data source \n",
      "  `../../3_outputs/Ireland/2022/social_vulnerability_index_ireland_2022.shp' using driver `ESRI Shapefile'\n",
      "Writing 18919 features with 46 fields and geometry type Multi Polygon.\n"
     ]
    }
   ],
   "source": [
    "# CSV\n",
    "write.csv(output_dataset, file.path(output_dir, \"social_vulnerability_index_ireland_2022.csv\"), row.names = FALSE)\n",
    "\n",
    "# GeoJSON\n",
    "st_write(output_dataset_geom, file.path(output_dir, \"social_vulnerability_index_ireland_2022.geojson\"), delete_dsn=TRUE)\n",
    "\n",
    "# Shapefile\n",
    "st_write(output_dataset_geom, file.path(output_dir, \"social_vulnerability_index_ireland_2022.shp\"), append = FALSE)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b0ad01c2-b342-4f7f-b9d9-c03ccb0ed11b",
   "metadata": {},
   "source": [
    "**END**"
   ]
  }
 ],
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