Frontex_Datawrangling.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "### Data Cleaning and Visualization on Frontex Data \n",
    "\n",
    "This data set comes from Frontex which is Europe's border patrol and coast guard agency.  \n",
    "\n",
    "http://frontex.europa.eu/intelligence/analytics/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Parsed with column specification:\n",
      "cols(\n",
      "  .default = col_integer(),\n",
      "  Route = col_character(),\n",
      "  BorderLocation = col_character(),\n",
      "  NationalityLong = col_character()\n",
      ")\n",
      "See spec(...) for full column specifications.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>Route</th><th scope=col>BorderLocation</th><th scope=col>NationalityLong</th><th scope=col>Jan-09</th><th scope=col>Feb-09</th><th scope=col>Mar-09</th><th scope=col>Apr-09</th><th scope=col>May-09</th><th scope=col>Jun-09</th><th scope=col>Jul-09</th><th scope=col>⋯</th><th scope=col>Jan-17</th><th scope=col>Feb-17</th><th scope=col>Mar-17</th><th scope=col>Apr-17</th><th scope=col>May-17</th><th scope=col>Jun-17</th><th scope=col>Jul-17</th><th scope=col>Aug-17</th><th scope=col>Sep-17</th><th scope=col>Oct-17</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>Black Sea  </td><td>Sea        </td><td>Afghanistan</td><td>0          </td><td>0          </td><td>0          </td><td>0          </td><td>0          </td><td>0          </td><td>0          </td><td><U+22EF>   </td><td>0          </td><td>0          </td><td>0          </td><td>0          </td><td>0          </td><td>0          </td><td>0          </td><td>  0        </td><td>  0        </td><td>0          </td></tr>\n",
       "\t<tr><td>Black Sea  </td><td>Sea        </td><td>Algeria    </td><td>0          </td><td>0          </td><td>0          </td><td>0          </td><td>0          </td><td>0          </td><td>0          </td><td><U+22EF>   </td><td>0          </td><td>0          </td><td>0          </td><td>0          </td><td>0          </td><td>0          </td><td>0          </td><td>  0        </td><td>  1        </td><td>0          </td></tr>\n",
       "\t<tr><td>Black Sea  </td><td>Sea        </td><td>Belarus    </td><td>0          </td><td>0          </td><td>0          </td><td>0          </td><td>0          </td><td>0          </td><td>0          </td><td><U+22EF>   </td><td>0          </td><td>0          </td><td>0          </td><td>0          </td><td>0          </td><td>0          </td><td>0          </td><td>  0        </td><td>  0        </td><td>0          </td></tr>\n",
       "\t<tr><td>Black Sea  </td><td>Sea        </td><td>Iran       </td><td>0          </td><td>0          </td><td>0          </td><td>0          </td><td>0          </td><td>0          </td><td>0          </td><td><U+22EF>   </td><td>0          </td><td>0          </td><td>0          </td><td>0          </td><td>0          </td><td>0          </td><td>0          </td><td>  3        </td><td> 32        </td><td>0          </td></tr>\n",
       "\t<tr><td>Black Sea  </td><td>Sea        </td><td>Iraq       </td><td>0          </td><td>0          </td><td>0          </td><td>0          </td><td>0          </td><td>0          </td><td>0          </td><td><U+22EF>   </td><td>0          </td><td>0          </td><td>0          </td><td>0          </td><td>0          </td><td>0          </td><td>0          </td><td>134        </td><td>301        </td><td>0          </td></tr>\n",
       "\t<tr><td>Black Sea  </td><td>Sea        </td><td>Morocco    </td><td>0          </td><td>0          </td><td>0          </td><td>0          </td><td>0          </td><td>0          </td><td>0          </td><td><U+22EF>   </td><td>0          </td><td>0          </td><td>0          </td><td>0          </td><td>0          </td><td>0          </td><td>0          </td><td>  0        </td><td>  1        </td><td>0          </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|lllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllll}\n",
       " Route & BorderLocation & NationalityLong & Jan-09 & Feb-09 & Mar-09 & Apr-09 & May-09 & Jun-09 & Jul-09 & ⋯ & Jan-17 & Feb-17 & Mar-17 & Apr-17 & May-17 & Jun-17 & Jul-17 & Aug-17 & Sep-17 & Oct-17\\\\\n",
       "\\hline\n",
       "\t Black Sea   & Sea         & Afghanistan & 0           & 0           & 0           & 0           & 0           & 0           & 0           & <U+22EF>    & 0           & 0           & 0           & 0           & 0           & 0           & 0           &   0         &   0         & 0          \\\\\n",
       "\t Black Sea   & Sea         & Algeria     & 0           & 0           & 0           & 0           & 0           & 0           & 0           & <U+22EF>    & 0           & 0           & 0           & 0           & 0           & 0           & 0           &   0         &   1         & 0          \\\\\n",
       "\t Black Sea   & Sea         & Belarus     & 0           & 0           & 0           & 0           & 0           & 0           & 0           & <U+22EF>    & 0           & 0           & 0           & 0           & 0           & 0           & 0           &   0         &   0         & 0          \\\\\n",
       "\t Black Sea   & Sea         & Iran        & 0           & 0           & 0           & 0           & 0           & 0           & 0           & <U+22EF>    & 0           & 0           & 0           & 0           & 0           & 0           & 0           &   3         &  32         & 0          \\\\\n",
       "\t Black Sea   & Sea         & Iraq        & 0           & 0           & 0           & 0           & 0           & 0           & 0           & <U+22EF>    & 0           & 0           & 0           & 0           & 0           & 0           & 0           & 134         & 301         & 0          \\\\\n",
       "\t Black Sea   & Sea         & Morocco     & 0           & 0           & 0           & 0           & 0           & 0           & 0           & <U+22EF>    & 0           & 0           & 0           & 0           & 0           & 0           & 0           &   0         &   1         & 0          \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "Route | BorderLocation | NationalityLong | Jan-09 | Feb-09 | Mar-09 | Apr-09 | May-09 | Jun-09 | Jul-09 | ⋯ | Jan-17 | Feb-17 | Mar-17 | Apr-17 | May-17 | Jun-17 | Jul-17 | Aug-17 | Sep-17 | Oct-17 | \n",
       "|---|---|---|---|---|---|\n",
       "| Black Sea   | Sea         | Afghanistan | 0           | 0           | 0           | 0           | 0           | 0           | 0           | <U+22EF>    | 0           | 0           | 0           | 0           | 0           | 0           | 0           |   0         |   0         | 0           | \n",
       "| Black Sea   | Sea         | Algeria     | 0           | 0           | 0           | 0           | 0           | 0           | 0           | <U+22EF>    | 0           | 0           | 0           | 0           | 0           | 0           | 0           |   0         |   1         | 0           | \n",
       "| Black Sea   | Sea         | Belarus     | 0           | 0           | 0           | 0           | 0           | 0           | 0           | <U+22EF>    | 0           | 0           | 0           | 0           | 0           | 0           | 0           |   0         |   0         | 0           | \n",
       "| Black Sea   | Sea         | Iran        | 0           | 0           | 0           | 0           | 0           | 0           | 0           | <U+22EF>    | 0           | 0           | 0           | 0           | 0           | 0           | 0           |   3         |  32         | 0           | \n",
       "| Black Sea   | Sea         | Iraq        | 0           | 0           | 0           | 0           | 0           | 0           | 0           | <U+22EF>    | 0           | 0           | 0           | 0           | 0           | 0           | 0           | 134         | 301         | 0           | \n",
       "| Black Sea   | Sea         | Morocco     | 0           | 0           | 0           | 0           | 0           | 0           | 0           | <U+22EF>    | 0           | 0           | 0           | 0           | 0           | 0           | 0           |   0         |   1         | 0           | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "  Route     BorderLocation NationalityLong Jan-09 Feb-09 Mar-09 Apr-09 May-09\n",
       "1 Black Sea Sea            Afghanistan     0      0      0      0      0     \n",
       "2 Black Sea Sea            Algeria         0      0      0      0      0     \n",
       "3 Black Sea Sea            Belarus         0      0      0      0      0     \n",
       "4 Black Sea Sea            Iran            0      0      0      0      0     \n",
       "5 Black Sea Sea            Iraq            0      0      0      0      0     \n",
       "6 Black Sea Sea            Morocco         0      0      0      0      0     \n",
       "  Jun-09 Jul-09 <U+22EF>   Jan-17 Feb-17 Mar-17 Apr-17 May-17 Jun-17 Jul-17\n",
       "1 0      0      <U+22EF> 0      0      0      0      0      0      0     \n",
       "2 0      0      <U+22EF> 0      0      0      0      0      0      0     \n",
       "3 0      0      <U+22EF> 0      0      0      0      0      0      0     \n",
       "4 0      0      <U+22EF> 0      0      0      0      0      0      0     \n",
       "5 0      0      <U+22EF> 0      0      0      0      0      0      0     \n",
       "6 0      0      <U+22EF> 0      0      0      0      0      0      0     \n",
       "  Aug-17 Sep-17 Oct-17\n",
       "1   0      0    0     \n",
       "2   0      1    0     \n",
       "3   0      0    0     \n",
       "4   3     32    0     \n",
       "5 134    301    0     \n",
       "6   0      1    0     "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<ol class=list-inline>\n",
       "\t<li>'Afghanistan'</li>\n",
       "\t<li>'Algeria'</li>\n",
       "\t<li>'Belarus'</li>\n",
       "\t<li>'Iran'</li>\n",
       "\t<li>'Iraq'</li>\n",
       "\t<li>'Morocco'</li>\n",
       "\t<li>'Notspecified'</li>\n",
       "\t<li>'Pakistan'</li>\n",
       "\t<li>'Somalia'</li>\n",
       "\t<li>'Syria'</li>\n",
       "\t<li>'Turkey'</li>\n",
       "\t<li>'Albania'</li>\n",
       "\t<li>'Angola'</li>\n",
       "\t<li>'Azerbaijan'</li>\n",
       "\t<li>'Bangladesh'</li>\n",
       "\t<li>'Belize'</li>\n",
       "\t<li>'Benin'</li>\n",
       "\t<li>'Bermuda'</li>\n",
       "\t<li>'BurkinaFaso'</li>\n",
       "\t<li>'Burundi'</li>\n",
       "\t<li>'Cameroon'</li>\n",
       "\t<li>'CapeVerde'</li>\n",
       "\t<li>'CentralAfricanRepublic'</li>\n",
       "\t<li>'Chad'</li>\n",
       "\t<li>'China'</li>\n",
       "\t<li>'Comoros'</li>\n",
       "\t<li>'Congo'</li>\n",
       "\t<li>'CongoDR'</li>\n",
       "\t<li>'CtedIvoire'</li>\n",
       "\t<li>'Djibouti'</li>\n",
       "\t<li>'Dominica'</li>\n",
       "\t<li>'Egypt'</li>\n",
       "\t<li>'EquatorialGuinea'</li>\n",
       "\t<li>'Eritrea'</li>\n",
       "\t<li>'Ethiopia'</li>\n",
       "\t<li>'Gabon'</li>\n",
       "\t<li>'Gambia'</li>\n",
       "\t<li>'Georgia'</li>\n",
       "\t<li>'Ghana'</li>\n",
       "\t<li>'Guinea'</li>\n",
       "\t<li>'GuineaBissau'</li>\n",
       "\t<li>'Haiti'</li>\n",
       "\t<li>'India'</li>\n",
       "\t<li>'Israel'</li>\n",
       "\t<li>'Jamaica'</li>\n",
       "\t<li>'Jordan'</li>\n",
       "\t<li>'Kenya'</li>\n",
       "\t<li>'Kosovo'</li>\n",
       "\t<li>'Kuwait'</li>\n",
       "\t<li>'Kyrgyzstan'</li>\n",
       "\t<li>'Lebanon'</li>\n",
       "\t<li>'Lesotho'</li>\n",
       "\t<li>'Liberia'</li>\n",
       "\t<li>'Libya'</li>\n",
       "\t<li>'Madagascar'</li>\n",
       "\t<li>'Malawi'</li>\n",
       "\t<li>'Malaysia'</li>\n",
       "\t<li>'Mali'</li>\n",
       "\t<li>'Mauritania'</li>\n",
       "\t<li>'Mauritius'</li>\n",
       "\t<li>'Myanmar'</li>\n",
       "\t<li>'Namibia'</li>\n",
       "\t<li>'Nepal'</li>\n",
       "\t<li>'Niger'</li>\n",
       "\t<li>'Nigeria'</li>\n",
       "\t<li>'Oman'</li>\n",
       "\t<li>'Palestine'</li>\n",
       "\t<li>'Panama'</li>\n",
       "\t<li>'Philippines'</li>\n",
       "\t<li>'Russia'</li>\n",
       "\t<li>'Rwanda'</li>\n",
       "\t<li>'SaudiArabia'</li>\n",
       "\t<li>'Senegal'</li>\n",
       "\t<li>'SierraLeone'</li>\n",
       "\t<li>'SouthAfrica'</li>\n",
       "\t<li>'SouthSudan'</li>\n",
       "\t<li>'SriLanka'</li>\n",
       "\t<li>'Sudan'</li>\n",
       "\t<li>'TanzaniaUnitedRepublicof'</li>\n",
       "\t<li>'Togo'</li>\n",
       "\t<li>'Tunisia'</li>\n",
       "\t<li>'Uganda'</li>\n",
       "\t<li>'Ukraine'</li>\n",
       "\t<li>'UnspecifiedsubSaharannationals'</li>\n",
       "\t<li>'Uzbekistan'</li>\n",
       "\t<li>'Vietnam'</li>\n",
       "\t<li>'Yemen'</li>\n",
       "\t<li>'Zambia'</li>\n",
       "\t<li>'Zimbabwe'</li>\n",
       "\t<li>'Armenia'</li>\n",
       "\t<li>'BosniaandHerzegovina'</li>\n",
       "\t<li>'DominicanRepublic'</li>\n",
       "\t<li>'Ecuador'</li>\n",
       "\t<li>'Guyana'</li>\n",
       "\t<li>'HongKong'</li>\n",
       "\t<li>'Maldives'</li>\n",
       "\t<li>'Moldova'</li>\n",
       "\t<li>'Montenegro'</li>\n",
       "\t<li>'Serbia'</li>\n",
       "\t<li>'Venezuela'</li>\n",
       "\t<li>'theformerYugoslavRepublicofMacedonia'</li>\n",
       "\t<li>'Bolivia'</li>\n",
       "\t<li>'Cuba'</li>\n",
       "\t<li>'Japan'</li>\n",
       "\t<li>'Kazakhstan'</li>\n",
       "\t<li>'Mexico'</li>\n",
       "\t<li>'Mongolia'</li>\n",
       "\t<li>'PapuaNewGuinea'</li>\n",
       "\t<li>'Tajikistan'</li>\n",
       "\t<li>'Turkmenistan'</li>\n",
       "\t<li>'UnitedStates'</li>\n",
       "\t<li>'WesternSahara'</li>\n",
       "\t<li>'Bhutan'</li>\n",
       "\t<li>'Cambodia'</li>\n",
       "\t<li>'Canada'</li>\n",
       "\t<li>'Colombia'</li>\n",
       "\t<li>'Indonesia'</li>\n",
       "\t<li>'Kiribati'</li>\n",
       "\t<li>'Korea'</li>\n",
       "\t<li>'KoreaDPR'</li>\n",
       "\t<li>'LaoPeoplesDemocraticRepublic'</li>\n",
       "\t<li>'TaiwanProvinceofChina'</li>\n",
       "\t<li>'Thailand'</li>\n",
       "\t<li>'UnitedArabEmirates'</li>\n",
       "\t<li>'Argentina'</li>\n",
       "\t<li>'Australia'</li>\n",
       "\t<li>'Brazil'</li>\n",
       "\t<li>'Croatia'</li>\n",
       "\t<li>'Paraguay'</li>\n",
       "\t<li>'Peru'</li>\n",
       "\t<li>'SaintHelena'</li>\n",
       "\t<li>'Swaziland'</li>\n",
       "\t<li>'Gibraltar'</li>\n",
       "\t<li>'Chile'</li>\n",
       "\t<li>'Mozambique'</li>\n",
       "\t<li>'NewZealand'</li>\n",
       "\t<li>'Runion'</li>\n",
       "\t<li>'Samoa'</li>\n",
       "\t<li>'Singapore'</li>\n",
       "\t<li>'SolomonIslands'</li>\n",
       "\t<li>'Botswana'</li>\n",
       "\t<li>'Macao'</li>\n",
       "</ol>\n"
      ],
      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item 'Afghanistan'\n",
       "\\item 'Algeria'\n",
       "\\item 'Belarus'\n",
       "\\item 'Iran'\n",
       "\\item 'Iraq'\n",
       "\\item 'Morocco'\n",
       "\\item 'Notspecified'\n",
       "\\item 'Pakistan'\n",
       "\\item 'Somalia'\n",
       "\\item 'Syria'\n",
       "\\item 'Turkey'\n",
       "\\item 'Albania'\n",
       "\\item 'Angola'\n",
       "\\item 'Azerbaijan'\n",
       "\\item 'Bangladesh'\n",
       "\\item 'Belize'\n",
       "\\item 'Benin'\n",
       "\\item 'Bermuda'\n",
       "\\item 'BurkinaFaso'\n",
       "\\item 'Burundi'\n",
       "\\item 'Cameroon'\n",
       "\\item 'CapeVerde'\n",
       "\\item 'CentralAfricanRepublic'\n",
       "\\item 'Chad'\n",
       "\\item 'China'\n",
       "\\item 'Comoros'\n",
       "\\item 'Congo'\n",
       "\\item 'CongoDR'\n",
       "\\item 'CtedIvoire'\n",
       "\\item 'Djibouti'\n",
       "\\item 'Dominica'\n",
       "\\item 'Egypt'\n",
       "\\item 'EquatorialGuinea'\n",
       "\\item 'Eritrea'\n",
       "\\item 'Ethiopia'\n",
       "\\item 'Gabon'\n",
       "\\item 'Gambia'\n",
       "\\item 'Georgia'\n",
       "\\item 'Ghana'\n",
       "\\item 'Guinea'\n",
       "\\item 'GuineaBissau'\n",
       "\\item 'Haiti'\n",
       "\\item 'India'\n",
       "\\item 'Israel'\n",
       "\\item 'Jamaica'\n",
       "\\item 'Jordan'\n",
       "\\item 'Kenya'\n",
       "\\item 'Kosovo'\n",
       "\\item 'Kuwait'\n",
       "\\item 'Kyrgyzstan'\n",
       "\\item 'Lebanon'\n",
       "\\item 'Lesotho'\n",
       "\\item 'Liberia'\n",
       "\\item 'Libya'\n",
       "\\item 'Madagascar'\n",
       "\\item 'Malawi'\n",
       "\\item 'Malaysia'\n",
       "\\item 'Mali'\n",
       "\\item 'Mauritania'\n",
       "\\item 'Mauritius'\n",
       "\\item 'Myanmar'\n",
       "\\item 'Namibia'\n",
       "\\item 'Nepal'\n",
       "\\item 'Niger'\n",
       "\\item 'Nigeria'\n",
       "\\item 'Oman'\n",
       "\\item 'Palestine'\n",
       "\\item 'Panama'\n",
       "\\item 'Philippines'\n",
       "\\item 'Russia'\n",
       "\\item 'Rwanda'\n",
       "\\item 'SaudiArabia'\n",
       "\\item 'Senegal'\n",
       "\\item 'SierraLeone'\n",
       "\\item 'SouthAfrica'\n",
       "\\item 'SouthSudan'\n",
       "\\item 'SriLanka'\n",
       "\\item 'Sudan'\n",
       "\\item 'TanzaniaUnitedRepublicof'\n",
       "\\item 'Togo'\n",
       "\\item 'Tunisia'\n",
       "\\item 'Uganda'\n",
       "\\item 'Ukraine'\n",
       "\\item 'UnspecifiedsubSaharannationals'\n",
       "\\item 'Uzbekistan'\n",
       "\\item 'Vietnam'\n",
       "\\item 'Yemen'\n",
       "\\item 'Zambia'\n",
       "\\item 'Zimbabwe'\n",
       "\\item 'Armenia'\n",
       "\\item 'BosniaandHerzegovina'\n",
       "\\item 'DominicanRepublic'\n",
       "\\item 'Ecuador'\n",
       "\\item 'Guyana'\n",
       "\\item 'HongKong'\n",
       "\\item 'Maldives'\n",
       "\\item 'Moldova'\n",
       "\\item 'Montenegro'\n",
       "\\item 'Serbia'\n",
       "\\item 'Venezuela'\n",
       "\\item 'theformerYugoslavRepublicofMacedonia'\n",
       "\\item 'Bolivia'\n",
       "\\item 'Cuba'\n",
       "\\item 'Japan'\n",
       "\\item 'Kazakhstan'\n",
       "\\item 'Mexico'\n",
       "\\item 'Mongolia'\n",
       "\\item 'PapuaNewGuinea'\n",
       "\\item 'Tajikistan'\n",
       "\\item 'Turkmenistan'\n",
       "\\item 'UnitedStates'\n",
       "\\item 'WesternSahara'\n",
       "\\item 'Bhutan'\n",
       "\\item 'Cambodia'\n",
       "\\item 'Canada'\n",
       "\\item 'Colombia'\n",
       "\\item 'Indonesia'\n",
       "\\item 'Kiribati'\n",
       "\\item 'Korea'\n",
       "\\item 'KoreaDPR'\n",
       "\\item 'LaoPeoplesDemocraticRepublic'\n",
       "\\item 'TaiwanProvinceofChina'\n",
       "\\item 'Thailand'\n",
       "\\item 'UnitedArabEmirates'\n",
       "\\item 'Argentina'\n",
       "\\item 'Australia'\n",
       "\\item 'Brazil'\n",
       "\\item 'Croatia'\n",
       "\\item 'Paraguay'\n",
       "\\item 'Peru'\n",
       "\\item 'SaintHelena'\n",
       "\\item 'Swaziland'\n",
       "\\item 'Gibraltar'\n",
       "\\item 'Chile'\n",
       "\\item 'Mozambique'\n",
       "\\item 'NewZealand'\n",
       "\\item 'Runion'\n",
       "\\item 'Samoa'\n",
       "\\item 'Singapore'\n",
       "\\item 'SolomonIslands'\n",
       "\\item 'Botswana'\n",
       "\\item 'Macao'\n",
       "\\end{enumerate*}\n"
      ],
      "text/markdown": [
       "1. 'Afghanistan'\n",
       "2. 'Algeria'\n",
       "3. 'Belarus'\n",
       "4. 'Iran'\n",
       "5. 'Iraq'\n",
       "6. 'Morocco'\n",
       "7. 'Notspecified'\n",
       "8. 'Pakistan'\n",
       "9. 'Somalia'\n",
       "10. 'Syria'\n",
       "11. 'Turkey'\n",
       "12. 'Albania'\n",
       "13. 'Angola'\n",
       "14. 'Azerbaijan'\n",
       "15. 'Bangladesh'\n",
       "16. 'Belize'\n",
       "17. 'Benin'\n",
       "18. 'Bermuda'\n",
       "19. 'BurkinaFaso'\n",
       "20. 'Burundi'\n",
       "21. 'Cameroon'\n",
       "22. 'CapeVerde'\n",
       "23. 'CentralAfricanRepublic'\n",
       "24. 'Chad'\n",
       "25. 'China'\n",
       "26. 'Comoros'\n",
       "27. 'Congo'\n",
       "28. 'CongoDR'\n",
       "29. 'CtedIvoire'\n",
       "30. 'Djibouti'\n",
       "31. 'Dominica'\n",
       "32. 'Egypt'\n",
       "33. 'EquatorialGuinea'\n",
       "34. 'Eritrea'\n",
       "35. 'Ethiopia'\n",
       "36. 'Gabon'\n",
       "37. 'Gambia'\n",
       "38. 'Georgia'\n",
       "39. 'Ghana'\n",
       "40. 'Guinea'\n",
       "41. 'GuineaBissau'\n",
       "42. 'Haiti'\n",
       "43. 'India'\n",
       "44. 'Israel'\n",
       "45. 'Jamaica'\n",
       "46. 'Jordan'\n",
       "47. 'Kenya'\n",
       "48. 'Kosovo'\n",
       "49. 'Kuwait'\n",
       "50. 'Kyrgyzstan'\n",
       "51. 'Lebanon'\n",
       "52. 'Lesotho'\n",
       "53. 'Liberia'\n",
       "54. 'Libya'\n",
       "55. 'Madagascar'\n",
       "56. 'Malawi'\n",
       "57. 'Malaysia'\n",
       "58. 'Mali'\n",
       "59. 'Mauritania'\n",
       "60. 'Mauritius'\n",
       "61. 'Myanmar'\n",
       "62. 'Namibia'\n",
       "63. 'Nepal'\n",
       "64. 'Niger'\n",
       "65. 'Nigeria'\n",
       "66. 'Oman'\n",
       "67. 'Palestine'\n",
       "68. 'Panama'\n",
       "69. 'Philippines'\n",
       "70. 'Russia'\n",
       "71. 'Rwanda'\n",
       "72. 'SaudiArabia'\n",
       "73. 'Senegal'\n",
       "74. 'SierraLeone'\n",
       "75. 'SouthAfrica'\n",
       "76. 'SouthSudan'\n",
       "77. 'SriLanka'\n",
       "78. 'Sudan'\n",
       "79. 'TanzaniaUnitedRepublicof'\n",
       "80. 'Togo'\n",
       "81. 'Tunisia'\n",
       "82. 'Uganda'\n",
       "83. 'Ukraine'\n",
       "84. 'UnspecifiedsubSaharannationals'\n",
       "85. 'Uzbekistan'\n",
       "86. 'Vietnam'\n",
       "87. 'Yemen'\n",
       "88. 'Zambia'\n",
       "89. 'Zimbabwe'\n",
       "90. 'Armenia'\n",
       "91. 'BosniaandHerzegovina'\n",
       "92. 'DominicanRepublic'\n",
       "93. 'Ecuador'\n",
       "94. 'Guyana'\n",
       "95. 'HongKong'\n",
       "96. 'Maldives'\n",
       "97. 'Moldova'\n",
       "98. 'Montenegro'\n",
       "99. 'Serbia'\n",
       "100. 'Venezuela'\n",
       "101. 'theformerYugoslavRepublicofMacedonia'\n",
       "102. 'Bolivia'\n",
       "103. 'Cuba'\n",
       "104. 'Japan'\n",
       "105. 'Kazakhstan'\n",
       "106. 'Mexico'\n",
       "107. 'Mongolia'\n",
       "108. 'PapuaNewGuinea'\n",
       "109. 'Tajikistan'\n",
       "110. 'Turkmenistan'\n",
       "111. 'UnitedStates'\n",
       "112. 'WesternSahara'\n",
       "113. 'Bhutan'\n",
       "114. 'Cambodia'\n",
       "115. 'Canada'\n",
       "116. 'Colombia'\n",
       "117. 'Indonesia'\n",
       "118. 'Kiribati'\n",
       "119. 'Korea'\n",
       "120. 'KoreaDPR'\n",
       "121. 'LaoPeoplesDemocraticRepublic'\n",
       "122. 'TaiwanProvinceofChina'\n",
       "123. 'Thailand'\n",
       "124. 'UnitedArabEmirates'\n",
       "125. 'Argentina'\n",
       "126. 'Australia'\n",
       "127. 'Brazil'\n",
       "128. 'Croatia'\n",
       "129. 'Paraguay'\n",
       "130. 'Peru'\n",
       "131. 'SaintHelena'\n",
       "132. 'Swaziland'\n",
       "133. 'Gibraltar'\n",
       "134. 'Chile'\n",
       "135. 'Mozambique'\n",
       "136. 'NewZealand'\n",
       "137. 'Runion'\n",
       "138. 'Samoa'\n",
       "139. 'Singapore'\n",
       "140. 'SolomonIslands'\n",
       "141. 'Botswana'\n",
       "142. 'Macao'\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "  [1] \"Afghanistan\"                         \n",
       "  [2] \"Algeria\"                             \n",
       "  [3] \"Belarus\"                             \n",
       "  [4] \"Iran\"                                \n",
       "  [5] \"Iraq\"                                \n",
       "  [6] \"Morocco\"                             \n",
       "  [7] \"Notspecified\"                        \n",
       "  [8] \"Pakistan\"                            \n",
       "  [9] \"Somalia\"                             \n",
       " [10] \"Syria\"                               \n",
       " [11] \"Turkey\"                              \n",
       " [12] \"Albania\"                             \n",
       " [13] \"Angola\"                              \n",
       " [14] \"Azerbaijan\"                          \n",
       " [15] \"Bangladesh\"                          \n",
       " [16] \"Belize\"                              \n",
       " [17] \"Benin\"                               \n",
       " [18] \"Bermuda\"                             \n",
       " [19] \"BurkinaFaso\"                         \n",
       " [20] \"Burundi\"                             \n",
       " [21] \"Cameroon\"                            \n",
       " [22] \"CapeVerde\"                           \n",
       " [23] \"CentralAfricanRepublic\"              \n",
       " [24] \"Chad\"                                \n",
       " [25] \"China\"                               \n",
       " [26] \"Comoros\"                             \n",
       " [27] \"Congo\"                               \n",
       " [28] \"CongoDR\"                             \n",
       " [29] \"CtedIvoire\"                          \n",
       " [30] \"Djibouti\"                            \n",
       " [31] \"Dominica\"                            \n",
       " [32] \"Egypt\"                               \n",
       " [33] \"EquatorialGuinea\"                    \n",
       " [34] \"Eritrea\"                             \n",
       " [35] \"Ethiopia\"                            \n",
       " [36] \"Gabon\"                               \n",
       " [37] \"Gambia\"                              \n",
       " [38] \"Georgia\"                             \n",
       " [39] \"Ghana\"                               \n",
       " [40] \"Guinea\"                              \n",
       " [41] \"GuineaBissau\"                        \n",
       " [42] \"Haiti\"                               \n",
       " [43] \"India\"                               \n",
       " [44] \"Israel\"                              \n",
       " [45] \"Jamaica\"                             \n",
       " [46] \"Jordan\"                              \n",
       " [47] \"Kenya\"                               \n",
       " [48] \"Kosovo\"                              \n",
       " [49] \"Kuwait\"                              \n",
       " [50] \"Kyrgyzstan\"                          \n",
       " [51] \"Lebanon\"                             \n",
       " [52] \"Lesotho\"                             \n",
       " [53] \"Liberia\"                             \n",
       " [54] \"Libya\"                               \n",
       " [55] \"Madagascar\"                          \n",
       " [56] \"Malawi\"                              \n",
       " [57] \"Malaysia\"                            \n",
       " [58] \"Mali\"                                \n",
       " [59] \"Mauritania\"                          \n",
       " [60] \"Mauritius\"                           \n",
       " [61] \"Myanmar\"                             \n",
       " [62] \"Namibia\"                             \n",
       " [63] \"Nepal\"                               \n",
       " [64] \"Niger\"                               \n",
       " [65] \"Nigeria\"                             \n",
       " [66] \"Oman\"                                \n",
       " [67] \"Palestine\"                           \n",
       " [68] \"Panama\"                              \n",
       " [69] \"Philippines\"                         \n",
       " [70] \"Russia\"                              \n",
       " [71] \"Rwanda\"                              \n",
       " [72] \"SaudiArabia\"                         \n",
       " [73] \"Senegal\"                             \n",
       " [74] \"SierraLeone\"                         \n",
       " [75] \"SouthAfrica\"                         \n",
       " [76] \"SouthSudan\"                          \n",
       " [77] \"SriLanka\"                            \n",
       " [78] \"Sudan\"                               \n",
       " [79] \"TanzaniaUnitedRepublicof\"            \n",
       " [80] \"Togo\"                                \n",
       " [81] \"Tunisia\"                             \n",
       " [82] \"Uganda\"                              \n",
       " [83] \"Ukraine\"                             \n",
       " [84] \"UnspecifiedsubSaharannationals\"      \n",
       " [85] \"Uzbekistan\"                          \n",
       " [86] \"Vietnam\"                             \n",
       " [87] \"Yemen\"                               \n",
       " [88] \"Zambia\"                              \n",
       " [89] \"Zimbabwe\"                            \n",
       " [90] \"Armenia\"                             \n",
       " [91] \"BosniaandHerzegovina\"                \n",
       " [92] \"DominicanRepublic\"                   \n",
       " [93] \"Ecuador\"                             \n",
       " [94] \"Guyana\"                              \n",
       " [95] \"HongKong\"                            \n",
       " [96] \"Maldives\"                            \n",
       " [97] \"Moldova\"                             \n",
       " [98] \"Montenegro\"                          \n",
       " [99] \"Serbia\"                              \n",
       "[100] \"Venezuela\"                           \n",
       "[101] \"theformerYugoslavRepublicofMacedonia\"\n",
       "[102] \"Bolivia\"                             \n",
       "[103] \"Cuba\"                                \n",
       "[104] \"Japan\"                               \n",
       "[105] \"Kazakhstan\"                          \n",
       "[106] \"Mexico\"                              \n",
       "[107] \"Mongolia\"                            \n",
       "[108] \"PapuaNewGuinea\"                      \n",
       "[109] \"Tajikistan\"                          \n",
       "[110] \"Turkmenistan\"                        \n",
       "[111] \"UnitedStates\"                        \n",
       "[112] \"WesternSahara\"                       \n",
       "[113] \"Bhutan\"                              \n",
       "[114] \"Cambodia\"                            \n",
       "[115] \"Canada\"                              \n",
       "[116] \"Colombia\"                            \n",
       "[117] \"Indonesia\"                           \n",
       "[118] \"Kiribati\"                            \n",
       "[119] \"Korea\"                               \n",
       "[120] \"KoreaDPR\"                            \n",
       "[121] \"LaoPeoplesDemocraticRepublic\"        \n",
       "[122] \"TaiwanProvinceofChina\"               \n",
       "[123] \"Thailand\"                            \n",
       "[124] \"UnitedArabEmirates\"                  \n",
       "[125] \"Argentina\"                           \n",
       "[126] \"Australia\"                           \n",
       "[127] \"Brazil\"                              \n",
       "[128] \"Croatia\"                             \n",
       "[129] \"Paraguay\"                            \n",
       "[130] \"Peru\"                                \n",
       "[131] \"SaintHelena\"                         \n",
       "[132] \"Swaziland\"                           \n",
       "[133] \"Gibraltar\"                           \n",
       "[134] \"Chile\"                               \n",
       "[135] \"Mozambique\"                          \n",
       "[136] \"NewZealand\"                          \n",
       "[137] \"Runion\"                              \n",
       "[138] \"Samoa\"                               \n",
       "[139] \"Singapore\"                           \n",
       "[140] \"SolomonIslands\"                      \n",
       "[141] \"Botswana\"                            \n",
       "[142] \"Macao\"                               "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "suppressPackageStartupMessages({library(ggplot2) \n",
    "library(plotly)\n",
    "library(readr) \n",
    "library(tidyverse)\n",
    "library(dplyr)\n",
    "library(tidyr)                                \n",
    "library(gridExtra)\n",
    "library(grid)\n",
    "library(ggthemes)\n",
    "library(RColorBrewer)\n",
    "library(reshape)\n",
    "library(stringr)    \n",
    "library(lubridate)\n",
    "})\n",
    "\n",
    "# read in the data set and view it \n",
    "frontex <- read_csv(\"../experimental/data/frontex_border_crossings.csv\")\n",
    "\n",
    "# we need to fix the country names we'll use regular expressions to remove some of the odd characters in the names\n",
    "frontex$NationalityLong <- str_replace_all(frontex$NationalityLong, \"[^[:alnum:]]\", \"\")\n",
    "\n",
    "head(frontex)\n",
    "unique(frontex$NationalityLong)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<ol class=list-inline>\n",
       "\t<li>Black Sea</li>\n",
       "\t<li>Central Mediterranean</li>\n",
       "\t<li>Circular Route from Albania to Greece</li>\n",
       "\t<li>Eastern Land Borders</li>\n",
       "\t<li>Eastern Mediterranean</li>\n",
       "\t<li>Not specified</li>\n",
       "\t<li>Other</li>\n",
       "\t<li>Western African</li>\n",
       "\t<li>Western Balkans</li>\n",
       "\t<li>Western Mediterranean</li>\n",
       "</ol>\n"
      ],
      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item Black Sea\n",
       "\\item Central Mediterranean\n",
       "\\item Circular Route from Albania to Greece\n",
       "\\item Eastern Land Borders\n",
       "\\item Eastern Mediterranean\n",
       "\\item Not specified\n",
       "\\item Other\n",
       "\\item Western African\n",
       "\\item Western Balkans\n",
       "\\item Western Mediterranean\n",
       "\\end{enumerate*}\n"
      ],
      "text/markdown": [
       "1. Black Sea\n",
       "2. Central Mediterranean\n",
       "3. Circular Route from Albania to Greece\n",
       "4. Eastern Land Borders\n",
       "5. Eastern Mediterranean\n",
       "6. Not specified\n",
       "7. Other\n",
       "8. Western African\n",
       "9. Western Balkans\n",
       "10. Western Mediterranean\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       " [1] Black Sea                             Central Mediterranean                \n",
       " [3] Circular Route from Albania to Greece Eastern Land Borders                 \n",
       " [5] Eastern Mediterranean                 Not specified                        \n",
       " [7] Other                                 Western African                      \n",
       " [9] Western Balkans                       Western Mediterranean                \n",
       "10 Levels: Black Sea ... Western Mediterranean"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Route <- frontex\n",
    "\n",
    "# change the route variable to a factor \n",
    "Route$Route <- as.factor(Route$Route)\n",
    "\n",
    "# drop some columns \n",
    "Route$BorderLocation <- NULL\n",
    "Route$NationalityLong <- NULL \n",
    "\n",
    "# look at the unique route values\n",
    "unique(Route$Route)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>Route</th><th scope=col>Jan-09</th><th scope=col>Feb-09</th><th scope=col>Mar-09</th><th scope=col>Apr-09</th><th scope=col>May-09</th><th scope=col>Jun-09</th><th scope=col>Jul-09</th><th scope=col>Aug-09</th><th scope=col>Sep-09</th><th scope=col>⋯</th><th scope=col>Jan-17</th><th scope=col>Feb-17</th><th scope=col>Mar-17</th><th scope=col>Apr-17</th><th scope=col>May-17</th><th scope=col>Jun-17</th><th scope=col>Jul-17</th><th scope=col>Aug-17</th><th scope=col>Sep-17</th><th scope=col>Oct-17</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>Black Sea                            </td><td>   0                                 </td><td>   1                                 </td><td>   0                                 </td><td>   0                                 </td><td>   0                                 </td><td>   0                                 </td><td>   0                                 </td><td>   0                                 </td><td>   0                                 </td><td><U+22EF>                             </td><td>   0                                 </td><td>   0                                 </td><td>    0                                </td><td>    0                                </td><td>    0                                </td><td>    0                                </td><td>    0                                </td><td> 137                                 </td><td> 335                                 </td><td>   0                                 </td></tr>\n",
       "\t<tr><td>Central Mediterranean                </td><td>1491                                 </td><td>1221                                 </td><td>2519                                 </td><td>1981                                 </td><td> 610                                 </td><td> 107                                 </td><td> 504                                 </td><td> 562                                 </td><td> 583                                 </td><td><U+22EF>                             </td><td>4470                                 </td><td>8882                                 </td><td>10853                                </td><td>12870                                </td><td>22997                                </td><td>23461                                </td><td>11460                                </td><td>3914                                 </td><td>6266                                 </td><td>5923                                 </td></tr>\n",
       "\t<tr><td>Circular Route from Albania to Greece</td><td>1521                                 </td><td>1884                                 </td><td>2368                                 </td><td>4207                                 </td><td>5512                                 </td><td>3701                                 </td><td>3590                                 </td><td>3245                                 </td><td>5535                                 </td><td><U+22EF>                             </td><td> 304                                 </td><td> 563                                 </td><td>  672                                </td><td>  637                                </td><td>  547                                </td><td>  473                                </td><td>  398                                </td><td> 583                                 </td><td> 677                                 </td><td> 842                                 </td></tr>\n",
       "\t<tr><td>Eastern Land Borders                 </td><td>  93                                 </td><td>  82                                 </td><td> 133                                 </td><td> 112                                 </td><td> 115                                 </td><td> 150                                 </td><td> 107                                 </td><td> 135                                 </td><td> 134                                 </td><td><U+22EF>                             </td><td>  33                                 </td><td>  46                                 </td><td>   64                                </td><td>   39                                </td><td>   89                                </td><td>   51                                </td><td>   67                                </td><td> 142                                 </td><td>  57                                 </td><td>  93                                 </td></tr>\n",
       "\t<tr><td>Eastern Mediterranean                </td><td>2730                                 </td><td>2228                                 </td><td>2870                                 </td><td>3299                                 </td><td>3751                                 </td><td>3880                                 </td><td>3920                                 </td><td>4272                                 </td><td>3979                                 </td><td><U+22EF>                             </td><td>1826                                 </td><td>1601                                 </td><td> 2631                                </td><td> 1708                                </td><td> 2687                                </td><td> 3011                                </td><td> 3411                                </td><td>4782                                 </td><td>7136                                 </td><td>5381                                 </td></tr>\n",
       "\t<tr><td>Not specified                        </td><td>   0                                 </td><td>   0                                 </td><td>   0                                 </td><td>   0                                 </td><td>   0                                 </td><td>   0                                 </td><td>   0                                 </td><td>   0                                 </td><td>   0                                 </td><td><U+22EF>                             </td><td>   0                                 </td><td>   0                                 </td><td>    0                                </td><td>    0                                </td><td>    0                                </td><td>    0                                </td><td>    0                                </td><td>   0                                 </td><td>   0                                 </td><td>   0                                 </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|lllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllll}\n",
       " Route & Jan-09 & Feb-09 & Mar-09 & Apr-09 & May-09 & Jun-09 & Jul-09 & Aug-09 & Sep-09 & ⋯ & Jan-17 & Feb-17 & Mar-17 & Apr-17 & May-17 & Jun-17 & Jul-17 & Aug-17 & Sep-17 & Oct-17\\\\\n",
       "\\hline\n",
       "\t Black Sea                             &    0                                  &    1                                  &    0                                  &    0                                  &    0                                  &    0                                  &    0                                  &    0                                  &    0                                  & <U+22EF>                              &    0                                  &    0                                  &     0                                 &     0                                 &     0                                 &     0                                 &     0                                 &  137                                  &  335                                  &    0                                 \\\\\n",
       "\t Central Mediterranean                 & 1491                                  & 1221                                  & 2519                                  & 1981                                  &  610                                  &  107                                  &  504                                  &  562                                  &  583                                  & <U+22EF>                              & 4470                                  & 8882                                  & 10853                                 & 12870                                 & 22997                                 & 23461                                 & 11460                                 & 3914                                  & 6266                                  & 5923                                 \\\\\n",
       "\t Circular Route from Albania to Greece & 1521                                  & 1884                                  & 2368                                  & 4207                                  & 5512                                  & 3701                                  & 3590                                  & 3245                                  & 5535                                  & <U+22EF>                              &  304                                  &  563                                  &   672                                 &   637                                 &   547                                 &   473                                 &   398                                 &  583                                  &  677                                  &  842                                 \\\\\n",
       "\t Eastern Land Borders                  &   93                                  &   82                                  &  133                                  &  112                                  &  115                                  &  150                                  &  107                                  &  135                                  &  134                                  & <U+22EF>                              &   33                                  &   46                                  &    64                                 &    39                                 &    89                                 &    51                                 &    67                                 &  142                                  &   57                                  &   93                                 \\\\\n",
       "\t Eastern Mediterranean                 & 2730                                  & 2228                                  & 2870                                  & 3299                                  & 3751                                  & 3880                                  & 3920                                  & 4272                                  & 3979                                  & <U+22EF>                              & 1826                                  & 1601                                  &  2631                                 &  1708                                 &  2687                                 &  3011                                 &  3411                                 & 4782                                  & 7136                                  & 5381                                 \\\\\n",
       "\t Not specified                         &    0                                  &    0                                  &    0                                  &    0                                  &    0                                  &    0                                  &    0                                  &    0                                  &    0                                  & <U+22EF>                              &    0                                  &    0                                  &     0                                 &     0                                 &     0                                 &     0                                 &     0                                 &    0                                  &    0                                  &    0                                 \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "Route | Jan-09 | Feb-09 | Mar-09 | Apr-09 | May-09 | Jun-09 | Jul-09 | Aug-09 | Sep-09 | ⋯ | Jan-17 | Feb-17 | Mar-17 | Apr-17 | May-17 | Jun-17 | Jul-17 | Aug-17 | Sep-17 | Oct-17 | \n",
       "|---|---|---|---|---|---|\n",
       "| Black Sea                             |    0                                  |    1                                  |    0                                  |    0                                  |    0                                  |    0                                  |    0                                  |    0                                  |    0                                  | <U+22EF>                              |    0                                  |    0                                  |     0                                 |     0                                 |     0                                 |     0                                 |     0                                 |  137                                  |  335                                  |    0                                  | \n",
       "| Central Mediterranean                 | 1491                                  | 1221                                  | 2519                                  | 1981                                  |  610                                  |  107                                  |  504                                  |  562                                  |  583                                  | <U+22EF>                              | 4470                                  | 8882                                  | 10853                                 | 12870                                 | 22997                                 | 23461                                 | 11460                                 | 3914                                  | 6266                                  | 5923                                  | \n",
       "| Circular Route from Albania to Greece | 1521                                  | 1884                                  | 2368                                  | 4207                                  | 5512                                  | 3701                                  | 3590                                  | 3245                                  | 5535                                  | <U+22EF>                              |  304                                  |  563                                  |   672                                 |   637                                 |   547                                 |   473                                 |   398                                 |  583                                  |  677                                  |  842                                  | \n",
       "| Eastern Land Borders                  |   93                                  |   82                                  |  133                                  |  112                                  |  115                                  |  150                                  |  107                                  |  135                                  |  134                                  | <U+22EF>                              |   33                                  |   46                                  |    64                                 |    39                                 |    89                                 |    51                                 |    67                                 |  142                                  |   57                                  |   93                                  | \n",
       "| Eastern Mediterranean                 | 2730                                  | 2228                                  | 2870                                  | 3299                                  | 3751                                  | 3880                                  | 3920                                  | 4272                                  | 3979                                  | <U+22EF>                              | 1826                                  | 1601                                  |  2631                                 |  1708                                 |  2687                                 |  3011                                 |  3411                                 | 4782                                  | 7136                                  | 5381                                  | \n",
       "| Not specified                         |    0                                  |    0                                  |    0                                  |    0                                  |    0                                  |    0                                  |    0                                  |    0                                  |    0                                  | <U+22EF>                              |    0                                  |    0                                  |     0                                 |     0                                 |     0                                 |     0                                 |     0                                 |    0                                  |    0                                  |    0                                  | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "  Route                                 Jan-09 Feb-09 Mar-09 Apr-09 May-09\n",
       "1 Black Sea                                0      1      0      0      0  \n",
       "2 Central Mediterranean                 1491   1221   2519   1981    610  \n",
       "3 Circular Route from Albania to Greece 1521   1884   2368   4207   5512  \n",
       "4 Eastern Land Borders                    93     82    133    112    115  \n",
       "5 Eastern Mediterranean                 2730   2228   2870   3299   3751  \n",
       "6 Not specified                            0      0      0      0      0  \n",
       "  Jun-09 Jul-09 Aug-09 Sep-09 <U+22EF>   Jan-17 Feb-17 Mar-17 Apr-17 May-17\n",
       "1    0      0      0      0   <U+22EF>    0      0       0      0      0 \n",
       "2  107    504    562    583   <U+22EF> 4470   8882   10853  12870  22997 \n",
       "3 3701   3590   3245   5535   <U+22EF>  304    563     672    637    547 \n",
       "4  150    107    135    134   <U+22EF>   33     46      64     39     89 \n",
       "5 3880   3920   4272   3979   <U+22EF> 1826   1601    2631   1708   2687 \n",
       "6    0      0      0      0   <U+22EF>    0      0       0      0      0 \n",
       "  Jun-17 Jul-17 Aug-17 Sep-17 Oct-17\n",
       "1     0      0   137    335      0  \n",
       "2 23461  11460  3914   6266   5923  \n",
       "3   473    398   583    677    842  \n",
       "4    51     67   142     57     93  \n",
       "5  3011   3411  4782   7136   5381  \n",
       "6     0      0     0      0      0  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>Route</th><th scope=col>Date</th><th scope=col>Count</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>Black Sea                            </td><td>Jan-09                               </td><td>   0                                 </td></tr>\n",
       "\t<tr><td>Central Mediterranean                </td><td>Jan-09                               </td><td>1491                                 </td></tr>\n",
       "\t<tr><td>Circular Route from Albania to Greece</td><td>Jan-09                               </td><td>1521                                 </td></tr>\n",
       "\t<tr><td>Eastern Land Borders                 </td><td>Jan-09                               </td><td>  93                                 </td></tr>\n",
       "\t<tr><td>Eastern Mediterranean                </td><td>Jan-09                               </td><td>2730                                 </td></tr>\n",
       "\t<tr><td>Not specified                        </td><td>Jan-09                               </td><td>   0                                 </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|lll}\n",
       " Route & Date & Count\\\\\n",
       "\\hline\n",
       "\t Black Sea                             & Jan-09                                &    0                                 \\\\\n",
       "\t Central Mediterranean                 & Jan-09                                & 1491                                 \\\\\n",
       "\t Circular Route from Albania to Greece & Jan-09                                & 1521                                 \\\\\n",
       "\t Eastern Land Borders                  & Jan-09                                &   93                                 \\\\\n",
       "\t Eastern Mediterranean                 & Jan-09                                & 2730                                 \\\\\n",
       "\t Not specified                         & Jan-09                                &    0                                 \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "Route | Date | Count | \n",
       "|---|---|---|---|---|---|\n",
       "| Black Sea                             | Jan-09                                |    0                                  | \n",
       "| Central Mediterranean                 | Jan-09                                | 1491                                  | \n",
       "| Circular Route from Albania to Greece | Jan-09                                | 1521                                  | \n",
       "| Eastern Land Borders                  | Jan-09                                |   93                                  | \n",
       "| Eastern Mediterranean                 | Jan-09                                | 2730                                  | \n",
       "| Not specified                         | Jan-09                                |    0                                  | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "  Route                                 Date   Count\n",
       "1 Black Sea                             Jan-09    0 \n",
       "2 Central Mediterranean                 Jan-09 1491 \n",
       "3 Circular Route from Albania to Greece Jan-09 1521 \n",
       "4 Eastern Land Borders                  Jan-09   93 \n",
       "5 Eastern Mediterranean                 Jan-09 2730 \n",
       "6 Not specified                         Jan-09    0 "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# group the data by route and sum by date column\n",
    "rte_sums <- Route %>% \n",
    "  group_by(Route) %>% \n",
    "  summarise_all(funs(sum))\n",
    "\n",
    "# view your new data frame with route totals by date\n",
    "head(rte_sums)\n",
    "\n",
    "# now transform the data so dates are in one column 2 and values/counts are in column 3\n",
    "long <- rte_sums %>% gather(Date, Count, 2:107)\n",
    "\n",
    "# view the new data to make sure it is in long form \n",
    "head(long)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Classes 'tbl_df', 'tbl' and 'data.frame':\t1060 obs. of  3 variables:\n",
      " $ Route: Factor w/ 10 levels \"Black Sea\",\"Central Mediterranean\",..: 1 2 3 4 5 6 7 8 9 10 ...\n",
      " $ Date : Date, format: \"2009-01-01\" \"2009-01-01\" ...\n",
      " $ Count: int  0 1491 1521 93 2730 0 0 361 189 508 ...\n"
     ]
    }
   ],
   "source": [
    "# now we need to clean up the date column a bit \n",
    "\n",
    "# we'll use this custom function which replaces characters w/numbers, adds a day, \n",
    "# and converts the date into a datetime object. \n",
    "\n",
    "cleanup <- function(df) {\n",
    "    df <- gsub(\"Jan\",\"1\",df)\n",
    "    df <- gsub(\"Feb\",\"2\",df)\n",
    "    df <- gsub(\"Mar\",\"3\",df)\n",
    "    df <- gsub(\"Apr\",\"4\",df)\n",
    "    df <- gsub(\"May\",\"5\",df)\n",
    "    df <- gsub(\"Jun\",\"6\",df)\n",
    "    df <- gsub(\"Jul\",\"7\",df)\n",
    "    df <- gsub(\"Aug\",\"8\",df)\n",
    "    df <- gsub(\"Sep\",\"9\",df)\n",
    "    df <- gsub(\"Oct\",\"10\",df)\n",
    "    df <- gsub(\"Nov\",\"11\",df)\n",
    "    df <- gsub(\"Dec\",\"12\",df)\n",
    "    df <- paste0(\"01-\", df)\n",
    "    df <- dmy(df)\n",
    "    return(df)\n",
    "    }\n",
    "\n",
    "# run function on Date Column \n",
    "long$Date <- cleanup(long$Date)\n",
    "\n",
    "# view data structure to check new data types\n",
    "# The Date is no longer a character, it is transformed into a datetime object \n",
    "str(long)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Warning message in RColorBrewer::brewer.pal(n, pal):\n",
      "\"n too large, allowed maximum for palette Set1 is 9\n",
      "Returning the palette you asked for with that many colors\n",
      "\""
     ]
    },
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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c1rhoaGzjrrrOuuuy5a7bRwj5IF1KZf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C5PBN88ZgLRuQvmzseI3cRsA/fD00I2Il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\nAKQIJHYAAAAAKQKJHQAAAECKQGIHAAAAkCKQ2AEAAACkCCR2AAAAACkCiR0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      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot the migrant counts by route to europe\n",
    "p1 <- ggplot(long, aes(x=Date, y=Count, colour = Route)) + \n",
    "  geom_line() +\n",
    "  ylab(\"Number of Migrants\") +\n",
    "  theme_fivethirtyeight(base_size = 7, base_family = \"sans\") + \n",
    "  scale_color_brewer(name='',palette='Set1') + \n",
    "  scale_fill_brewer(palette=\"Dark2\")+\n",
    "  ggtitle(\"Popular Migrant Routes to Europe by Date\") +\n",
    "  labs(caption = \"Source: Frontex\") \n",
    "\n",
    "p1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Takeaway \n",
    "\n",
    "* The Eastern Mediterranean and Western Balkan routes were the prefered routes to Europe during the 2015 wave of migration \n",
    "* The Central Med route appears to fluctuae by date.  Perhaps there's some seasonality in the data.  Need to explore more, but I'm wondering if migrants prefer to use this route during warmer seasons such as summer.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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SEJCMmKkDogJAtCMiGk7BCSFSEZEZKE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\nBggJyMD/BzaFBobuNS7oAAAAAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# We'll visualize the same data slightly differently.  \n",
    "df1 <- long[long$Count >= 1,]\n",
    "\n",
    "ggplot(data=df1, aes(x=Date, y=Count)) +\n",
    "  geom_bar(stat=\"identity\")+\n",
    "  scale_color_brewer(name='',palette='Set1') + \n",
    "  scale_fill_brewer(palette=\"Set3\")+\n",
    "  theme_fivethirtyeight(base_size = 6.5, base_family = \"sans\") + \n",
    "  theme(legend.position='bottom', legend.text=element_text(size=6)) + \n",
    "  ggtitle(\"Preferred Route to Europe by Date\") +\n",
    "  labs(caption = \"Source: Frontex\") +\n",
    "  facet_wrap(~ Route)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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6QpablznTnzInHHPAPkKaDdcIyAQSK55RLavhcAkRZRsw8SJy6MQSKhm91iCigS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\nABQAkQBQQBIX/j8F/0me1iKewAAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "long$Date <- NULL \n",
    "\n",
    "# group the data by route and sum by date column\n",
    "rte_shares <- long %>% \n",
    "  group_by(Route) %>% \n",
    "  summarise_all(funs(sum))\n",
    "\n",
    "\n",
    "# plot missing persons in the med region \n",
    "plot <- ggplot(rte_shares, aes(x=\"\", y=Count, fill=Route)) +\n",
    "    geom_bar(width = 1, stat = \"identity\") +\n",
    "    coord_polar(\"y\", start=0) + \n",
    "    theme_fivethirtyeight(base_size = 7, base_family = \"sans\") + \n",
    "    scale_fill_brewer(palette=\"Paired\")+\n",
    "    ggtitle('Proportion of Migrants Coming to Europe by Route')\n",
    "plot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Takeaway \n",
    "\n",
    "* Just another way to visualize the routes most used by migrants coming to Europe.  Here we see the Eastern Med, Central Med, and Western Balkan route were the prefered routes to Europe by migrants from 2009-2018.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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nsk3iONVfG8R/rxjOlPS7m6uc0OqeOKsJsREiGNVfH/O1J2zdqwQwmJkMaq+EN6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\nuylDSMYhJB9RdlOGkIxDSD6i7KYMIRmnvkLqTnCxNB3O+H5qk1k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      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# let's take a closer look at the seasonality to see if we see anything of interest\n",
    "\n",
    "flong <- frontex %>% \n",
    "        gather(Date, Count,4:109) \n",
    "\n",
    "# use our function again \n",
    "flong$Date <- cleanup(flong$Date)\n",
    "\n",
    "# add month \n",
    "flong$Month <- months(flong$Date)\n",
    "\n",
    "flong$Route <- as.factor(flong$Route)\n",
    "\n",
    "flong$NationalityLong <- NULL \n",
    "flong$BorderLocation <- NULL \n",
    "\n",
    "\n",
    "# group the data by Nat and sum by date column\n",
    "months <- flong %>% \n",
    "  group_by(Route, Month) %>% \n",
    "  summarise(Count = sum(Count))\n",
    "\n",
    "months <- months[months$Count >= 1,]\n",
    "\n",
    "p6 <- ggplot(data=months, aes(x=Month, y=Count, fill=Route)) +\n",
    "  geom_bar(alpha = 8/10, stat=\"identity\")+\n",
    "  scale_fill_brewer(palette=\"Paired\")+\n",
    "  theme_fivethirtyeight(base_size = 7, base_family = \"sans\") + \n",
    "  theme(legend.position='bottom', legend.text=element_text(size=5)) + \n",
    "  coord_flip() +\n",
    "  ggtitle(\"Routes used by Countries with Largest Share of Migrants Coming to Europe\") +\n",
    "  labs(caption = \"Source: Frontex\") \n",
    "\n",
    "p6 + scale_x_discrete(limits = c(\"December\",\"November\", \"October\", \"September\", \"August\", \"July\", \"June\", \"May\", \"April\", \"March\", \"February\", \"January\"))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Takeaway \n",
    "\n",
    "* We notice some change in seasonality from winter and summer months for the central med route.  \n",
    "* Overall - Fall seasons (Sep, Oct, Nov) were more popular dates for migrants coming to Europe.  They are more popular than our previous hypothosis that summer months (June, July, Aug) would be more popular requiring us to update our assumptions.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>Route</th><th scope=col>BorderLocation</th><th scope=col>NationalityLong</th><th scope=col>Date</th><th scope=col>Count</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>Black Sea  </td><td>Sea        </td><td>Afghanistan</td><td>Jan-09     </td><td>0          </td></tr>\n",
       "\t<tr><td>Black Sea  </td><td>Sea        </td><td>Algeria    </td><td>Jan-09     </td><td>0          </td></tr>\n",
       "\t<tr><td>Black Sea  </td><td>Sea        </td><td>Belarus    </td><td>Jan-09     </td><td>0          </td></tr>\n",
       "\t<tr><td>Black Sea  </td><td>Sea        </td><td>Iran       </td><td>Jan-09     </td><td>0          </td></tr>\n",
       "\t<tr><td>Black Sea  </td><td>Sea        </td><td>Iraq       </td><td>Jan-09     </td><td>0          </td></tr>\n",
       "\t<tr><td>Black Sea  </td><td>Sea        </td><td>Morocco    </td><td>Jan-09     </td><td>0          </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|lllll}\n",
       " Route & BorderLocation & NationalityLong & Date & Count\\\\\n",
       "\\hline\n",
       "\t Black Sea   & Sea         & Afghanistan & Jan-09      & 0          \\\\\n",
       "\t Black Sea   & Sea         & Algeria     & Jan-09      & 0          \\\\\n",
       "\t Black Sea   & Sea         & Belarus     & Jan-09      & 0          \\\\\n",
       "\t Black Sea   & Sea         & Iran        & Jan-09      & 0          \\\\\n",
       "\t Black Sea   & Sea         & Iraq        & Jan-09      & 0          \\\\\n",
       "\t Black Sea   & Sea         & Morocco     & Jan-09      & 0          \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "Route | BorderLocation | NationalityLong | Date | Count | \n",
       "|---|---|---|---|---|---|\n",
       "| Black Sea   | Sea         | Afghanistan | Jan-09      | 0           | \n",
       "| Black Sea   | Sea         | Algeria     | Jan-09      | 0           | \n",
       "| Black Sea   | Sea         | Belarus     | Jan-09      | 0           | \n",
       "| Black Sea   | Sea         | Iran        | Jan-09      | 0           | \n",
       "| Black Sea   | Sea         | Iraq        | Jan-09      | 0           | \n",
       "| Black Sea   | Sea         | Morocco     | Jan-09      | 0           | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "  Route     BorderLocation NationalityLong Date   Count\n",
       "1 Black Sea Sea            Afghanistan     Jan-09 0    \n",
       "2 Black Sea Sea            Algeria         Jan-09 0    \n",
       "3 Black Sea Sea            Belarus         Jan-09 0    \n",
       "4 Black Sea Sea            Iran            Jan-09 0    \n",
       "5 Black Sea Sea            Iraq            Jan-09 0    \n",
       "6 Black Sea Sea            Morocco         Jan-09 0    "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "flong <- frontex %>% \n",
    "        gather(Date, Count,4:109) \n",
    "\n",
    "\n",
    "head(flong)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>BorderLocation</th><th scope=col>NationalityLong</th><th scope=col>Count</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>Sea        </td><td>Afghanistan</td><td>0          </td></tr>\n",
       "\t<tr><td>Sea        </td><td>Algeria    </td><td>0          </td></tr>\n",
       "\t<tr><td>Sea        </td><td>Belarus    </td><td>0          </td></tr>\n",
       "\t<tr><td>Sea        </td><td>Iran       </td><td>0          </td></tr>\n",
       "\t<tr><td>Sea        </td><td>Iraq       </td><td>0          </td></tr>\n",
       "\t<tr><td>Sea        </td><td>Morocco    </td><td>0          </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|lll}\n",
       " BorderLocation & NationalityLong & Count\\\\\n",
       "\\hline\n",
       "\t Sea         & Afghanistan & 0          \\\\\n",
       "\t Sea         & Algeria     & 0          \\\\\n",
       "\t Sea         & Belarus     & 0          \\\\\n",
       "\t Sea         & Iran        & 0          \\\\\n",
       "\t Sea         & Iraq        & 0          \\\\\n",
       "\t Sea         & Morocco     & 0          \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "BorderLocation | NationalityLong | Count | \n",
       "|---|---|---|---|---|---|\n",
       "| Sea         | Afghanistan | 0           | \n",
       "| Sea         | Algeria     | 0           | \n",
       "| Sea         | Belarus     | 0           | \n",
       "| Sea         | Iran        | 0           | \n",
       "| Sea         | Iraq        | 0           | \n",
       "| Sea         | Morocco     | 0           | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "  BorderLocation NationalityLong Count\n",
       "1 Sea            Afghanistan     0    \n",
       "2 Sea            Algeria         0    \n",
       "3 Sea            Belarus         0    \n",
       "4 Sea            Iran            0    \n",
       "5 Sea            Iraq            0    \n",
       "6 Sea            Morocco         0    "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>NationalityLong</th><th scope=col>BorderLocation</th><th scope=col>Count</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>Afghanistan</td><td>Land       </td><td>139813     </td></tr>\n",
       "\t<tr><td>Afghanistan</td><td>Sea        </td><td>296784     </td></tr>\n",
       "\t<tr><td>Albania    </td><td>Land       </td><td>119837     </td></tr>\n",
       "\t<tr><td>Albania    </td><td>Sea        </td><td>  2848     </td></tr>\n",
       "\t<tr><td>Algeria    </td><td>Land       </td><td> 20287     </td></tr>\n",
       "\t<tr><td>Algeria    </td><td>Sea        </td><td> 23159     </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|lll}\n",
       " NationalityLong & BorderLocation & Count\\\\\n",
       "\\hline\n",
       "\t Afghanistan & Land        & 139813     \\\\\n",
       "\t Afghanistan & Sea         & 296784     \\\\\n",
       "\t Albania     & Land        & 119837     \\\\\n",
       "\t Albania     & Sea         &   2848     \\\\\n",
       "\t Algeria     & Land        &  20287     \\\\\n",
       "\t Algeria     & Sea         &  23159     \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "NationalityLong | BorderLocation | Count | \n",
       "|---|---|---|---|---|---|\n",
       "| Afghanistan | Land        | 139813      | \n",
       "| Afghanistan | Sea         | 296784      | \n",
       "| Albania     | Land        | 119837      | \n",
       "| Albania     | Sea         |   2848      | \n",
       "| Algeria     | Land        |  20287      | \n",
       "| Algeria     | Sea         |  23159      | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "  NationalityLong BorderLocation Count \n",
       "1 Afghanistan     Land           139813\n",
       "2 Afghanistan     Sea            296784\n",
       "3 Albania         Land           119837\n",
       "4 Albania         Sea              2848\n",
       "5 Algeria         Land            20287\n",
       "6 Algeria         Sea             23159"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "flong_nat <- flong \n",
    "\n",
    "flong_nat$NationalityLong <- as.factor(flong_nat$NationalityLong)\n",
    "flong_nat$BorderLocation <- as.factor(flong_nat$BorderLocation)\n",
    "\n",
    "\n",
    "flong_nat$Route <- NULL \n",
    "flong_nat$Date <- NULL \n",
    "\n",
    "\n",
    "head(flong_nat)\n",
    "\n",
    "\n",
    "# group the data by Nat and sum by date column\n",
    "flong_nat_sum <- flong_nat %>% \n",
    "  group_by(NationalityLong, BorderLocation) %>% \n",
    "  summarise(Count = sum(Count))\n",
    "\n",
    "head(flong_nat_sum)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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BVyQOiMQBkVyASBwQiQMi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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot migrants by Nationality \n",
    "\n",
    "# reorder for the plot \n",
    "flong_nat_sum <- transform(flong_nat_sum, NationalityLong = reorder(NationalityLong, Count))\n",
    "\n",
    "# subset so we can view a reasonable number of records \n",
    "CM <- flong_nat_sum[flong_nat_sum$Count >= 1500,]\n",
    "\n",
    "ggplot(data=CM, aes(x=NationalityLong, y=Count, fill=BorderLocation)) +\n",
    "  geom_bar(stat=\"identity\")+\n",
    "  scale_color_brewer(name='',palette='Set1') + \n",
    "  scale_fill_brewer(palette=\"Paired\")+\n",
    "  theme_fivethirtyeight(base_size = 8, base_family = \"sans\") + \n",
    "  coord_flip() +\n",
    "  theme(legend.position='top', legend.text=element_text(size=6)) + \n",
    "  ggtitle(\"Migrants to Europe by Nationality\") +\n",
    "  labs(caption = \"Source: Frontex\") \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Takeaway \n",
    "\n",
    "* Syria, Afghanistan, and Iraq make up a large proportion of migrants coming to Europe.  This group of migrants also appear to prefer crossing into Europe by sea\n",
    "* Nonspecified country of origin makes up a signifcant proportion of values in the data \n",
    "* Countries such as Albania and Kosovo which are in southeast Europe (Balkans) appear to prefer using a land crossing to Europe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>BorderLocation</th><th scope=col>Jan-09</th><th scope=col>Feb-09</th><th scope=col>Mar-09</th><th scope=col>Apr-09</th><th scope=col>May-09</th><th scope=col>Jun-09</th><th scope=col>Jul-09</th><th scope=col>Aug-09</th><th scope=col>Sep-09</th><th scope=col>⋯</th><th scope=col>Jan-17</th><th scope=col>Feb-17</th><th scope=col>Mar-17</th><th scope=col>Apr-17</th><th scope=col>May-17</th><th scope=col>Jun-17</th><th scope=col>Jul-17</th><th scope=col>Aug-17</th><th scope=col>Sep-17</th><th scope=col>Oct-17</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>Land    </td><td>3008    </td><td>2988    </td><td>3951    </td><td>5479    </td><td>6845    </td><td>5005    </td><td>5130    </td><td>5115    </td><td>7218    </td><td><U+22EF></td><td>2220    </td><td> 3056   </td><td> 2043   </td><td> 1888   </td><td> 1646   </td><td> 2200   </td><td> 1990   </td><td> 3202   </td><td> 3416   </td><td> 2656   </td></tr>\n",
       "\t<tr><td>Sea     </td><td>3885    </td><td>3751    </td><td>5353    </td><td>4710    </td><td>3923    </td><td>3910    </td><td>4115    </td><td>4120    </td><td>4095    </td><td><U+22EF></td><td>7035    </td><td>10666   </td><td>13858   </td><td>15076   </td><td>26225   </td><td>27998   </td><td>16585   </td><td>10330   </td><td>13883   </td><td>14092   </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|lllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllll}\n",
       " BorderLocation & Jan-09 & Feb-09 & Mar-09 & Apr-09 & May-09 & Jun-09 & Jul-09 & Aug-09 & Sep-09 & ⋯ & Jan-17 & Feb-17 & Mar-17 & Apr-17 & May-17 & Jun-17 & Jul-17 & Aug-17 & Sep-17 & Oct-17\\\\\n",
       "\\hline\n",
       "\t Land     & 3008     & 2988     & 3951     & 5479     & 6845     & 5005     & 5130     & 5115     & 7218     & <U+22EF> & 2220     &  3056    &  2043    &  1888    &  1646    &  2200    &  1990    &  3202    &  3416    &  2656   \\\\\n",
       "\t Sea      & 3885     & 3751     & 5353     & 4710     & 3923     & 3910     & 4115     & 4120     & 4095     & <U+22EF> & 7035     & 10666    & 13858    & 15076    & 26225    & 27998    & 16585    & 10330    & 13883    & 14092   \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "BorderLocation | Jan-09 | Feb-09 | Mar-09 | Apr-09 | May-09 | Jun-09 | Jul-09 | Aug-09 | Sep-09 | ⋯ | Jan-17 | Feb-17 | Mar-17 | Apr-17 | May-17 | Jun-17 | Jul-17 | Aug-17 | Sep-17 | Oct-17 | \n",
       "|---|---|\n",
       "| Land     | 3008     | 2988     | 3951     | 5479     | 6845     | 5005     | 5130     | 5115     | 7218     | <U+22EF> | 2220     |  3056    |  2043    |  1888    |  1646    |  2200    |  1990    |  3202    |  3416    |  2656    | \n",
       "| Sea      | 3885     | 3751     | 5353     | 4710     | 3923     | 3910     | 4115     | 4120     | 4095     | <U+22EF> | 7035     | 10666    | 13858    | 15076    | 26225    | 27998    | 16585    | 10330    | 13883    | 14092    | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "  BorderLocation Jan-09 Feb-09 Mar-09 Apr-09 May-09 Jun-09 Jul-09 Aug-09 Sep-09\n",
       "1 Land           3008   2988   3951   5479   6845   5005   5130   5115   7218  \n",
       "2 Sea            3885   3751   5353   4710   3923   3910   4115   4120   4095  \n",
       "  <U+22EF>   Jan-17 Feb-17 Mar-17 Apr-17 May-17 Jun-17 Jul-17 Aug-17 Sep-17\n",
       "1 <U+22EF> 2220    3056   2043   1888   1646   2200   1990   3202   3416 \n",
       "2 <U+22EF> 7035   10666  13858  15076  26225  27998  16585  10330  13883 \n",
       "  Oct-17\n",
       "1  2656 \n",
       "2 14092 "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>BorderLocation</th><th scope=col>Date</th><th scope=col>Count</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>Land      </td><td>2009-01-01</td><td>3008      </td></tr>\n",
       "\t<tr><td>Sea       </td><td>2009-01-01</td><td>3885      </td></tr>\n",
       "\t<tr><td>Land      </td><td>2009-02-01</td><td>2988      </td></tr>\n",
       "\t<tr><td>Sea       </td><td>2009-02-01</td><td>3751      </td></tr>\n",
       "\t<tr><td>Land      </td><td>2009-03-01</td><td>3951      </td></tr>\n",
       "\t<tr><td>Sea       </td><td>2009-03-01</td><td>5353      </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|lll}\n",
       " BorderLocation & Date & Count\\\\\n",
       "\\hline\n",
       "\t Land       & 2009-01-01 & 3008      \\\\\n",
       "\t Sea        & 2009-01-01 & 3885      \\\\\n",
       "\t Land       & 2009-02-01 & 2988      \\\\\n",
       "\t Sea        & 2009-02-01 & 3751      \\\\\n",
       "\t Land       & 2009-03-01 & 3951      \\\\\n",
       "\t Sea        & 2009-03-01 & 5353      \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "BorderLocation | Date | Count | \n",
       "|---|---|---|---|---|---|\n",
       "| Land       | 2009-01-01 | 3008       | \n",
       "| Sea        | 2009-01-01 | 3885       | \n",
       "| Land       | 2009-02-01 | 2988       | \n",
       "| Sea        | 2009-02-01 | 3751       | \n",
       "| Land       | 2009-03-01 | 3951       | \n",
       "| Sea        | 2009-03-01 | 5353       | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "  BorderLocation Date       Count\n",
       "1 Land           2009-01-01 3008 \n",
       "2 Sea            2009-01-01 3885 \n",
       "3 Land           2009-02-01 2988 \n",
       "4 Sea            2009-02-01 3751 \n",
       "5 Land           2009-03-01 3951 \n",
       "6 Sea            2009-03-01 5353 "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "border <- frontex\n",
    "\n",
    "# change the route variable to a factor \n",
    "border$BorderLocation <- as.factor(border$BorderLocation)\n",
    "\n",
    "# drop some columns \n",
    "border$Route <- NULL\n",
    "border$NationalityLong <- NULL \n",
    "\n",
    "# group the data by route and sum by date column\n",
    "border_sums <- border %>% \n",
    "  group_by(BorderLocation) %>% \n",
    "  summarise_all(funs(sum))\n",
    "\n",
    "# view your new data frame with route totals by date\n",
    "head(border_sums)\n",
    "\n",
    "# now transform the data so dates are in one column 2 and values/counts are in column 3\n",
    "border_lg <- border_sums %>% gather(Date, Count, 2:107)\n",
    "\n",
    "border_lg$Date <- cleanup(border_lg$Date)\n",
    "\n",
    "# view the new data to make sure it is in long form \n",
    "head(border_lg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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xKGkopx3I3rwmpHsAMAoG6uKzZrYmlh80QmFUrKR1Ts0AUEOwAA6pY3RlI2rhLs\n+sOUGHeCLiHYAQBQNzd/OFveYzd/jl1/vwh26BKCHQAAdXMVu0xc0qLmiXSqT5w8gS4h2AEA\nULeisZIGkliSl5o/7qS/X1KBih26gWAHAEDdyhW7UqTF407S/ZKK1nblwrDKEewAAKhbeY9d\nXJIWNU/090vKsxKLbiDYAQBQN1eQy5TcHrv5407SGUlFUbFDFxDsAACom1uKHYhnJHnzK3bp\nIPSsLcjrzpVhdSPYAQBQt/KA4mp77HxP/dbmyXXoBoIdAAB1y5tEUmamqDCUtzDEpY0pLvok\n0AEEOwAA6lYwts/3UlG0YIOdk5Ep+L5ojEXHEewAAKhbwdqM5yuONH8d1skak/dDL+a4WHQa\nwQ4AgLrlkyTje14Uaf50YictFYNAxZnOXxhWOYIdAAB1K1ib9X0bRbZaxS7jKe8HKhY6f2FY\n5Qh2AADULZ+YjO97Sez1Vd1j5xnPK81QsUOnEewAAKhb0dqs58kYG1QLdp4nqThDxQ6dRrAD\nAKA+RWMSazNunkmqWrALXLArdfa6AIIdAAB1Kk8nlifJVg12fiCpUCLYodMIdgAA1KfgDoqV\nleRVm2OX9n1JRYIdOo5gBwBAffJJIilrrSSbqtYVG4aSCsyxQ8cR7AAAqI+r2GVlJVU/ecIF\nOyp26DiCHQAA9cknRlLGnRhWbY9dOgwlFanYoeMIdgAA1KdgjaSsSSRVPVIsk0pJysdJZ68L\nINgBAFAn1xWbMUZS1SPFMn0pSUWCHTqOYAcAQH3yxkjKJEZS1SPF0mFKUtElP6CDCHYAANSn\nYIykrI2lJQYU+74qW/GATiLYAQBQn3LFLo4lqWpXrJtjZwl26DSCHQAA9anssVumYudJKrq2\nWaCDCHYAANSn3BUbL7nHzlXsCp7kqnpApxDsAACoT3mPnRtTV60rNu15kvJ+qNJMZy8Nqx3B\nDgCA+ril2HKwW6ZiFwTeDMEOHUWwAwCgPq55IhuVtNSRYi7Y+aE3U+zwtWGVI9gBAFAftxSb\nidxSbLUjxTxPUiEIRMUOnUWwAwCgPuWKXWlGSzRPZAO3FOt77LFDZxHsAACoT3mPXVSS5PUt\n2zxRZCkWHUWwAwCgPgVrPCkzMyPJBlUqdqHnpaRiEBDs0GEEOwAA6pNPTL/n+XGkIJBf/Tdp\n2lM+CFmKRYcR7AAAqE/B2mzge0lctSXWyXp+wQ9EVyw6i2AHAEB98kmS8XyVSo71/LEAACAA\nSURBVF61llgn7XmFIGDcCTqMYAcAQH3KFbs4rtoS62QDn3En6DyCHQAA9SkYm/E8G5XsMhU7\n3y/4nDyBTiPYAQBQB2M1Y0w2CLwk0dJ77NJBEPl+TPMEOotgBwBAHQrWWCkjKUmqHhTrlGcU\nG9O5KwMIdgAA1CWfGElZT5JUbTqxk/Z8SUVjO3RZgCSCHQAAdSlYK1exW+I8MYeKHbqCYAcA\nQB0OGCNpQFaSUstU7DxVUiDQMQQ7AADq8FIUSVrvlmKXrthlfCp26AKCHQAAddgXJ5LWukrc\n0uNOMr4nifHE6DCCHQAAdRiPY0lj1kha5kgxV7HLyxNFO3QQwQ4AgDqMx4mkMZNIyy3FlvfY\n+YGXxJ26NIBgBwBAPSZMImmdq8Mtd1asL6kQBDaKOnVpAMEOAIB6lCt2SUnLLsWWx50EgRdT\nsUPnEOwAAKhDeY9dnEjLV+zKS7GiYocOItgBAFCH8Tjp873BqCRpmbNiXcUuH4ZU7NBJBDsA\nAOowHsdrg9BPIqmmip11ERDoCIIdAAB1GI/jtYHvFliXOVLMjTspBnTFoqMIdgAA1KpobcHY\nsTCUW2Bd+kix8skT7LFDZxHsAACo1d4oljQWhl4cSSsfKZYPAo9ghw4i2AEAUKtyS2wYVJZi\nlz55wu2xCwLRPIEOItgBAFCr8hC7MFTklmKXbp7wXbALFVOxQ+cQ7AAAqJWr2K0NA8UlSXbp\nYDe7x45xJ+gkgh0AALXalySS1gaBF8WSvOWWYt0eu5DmCXQSwQ4AgFq5YDcWhorckWJLNk/0\n+V5amg5T7LFDJxHsAACoVWWPXaA4lu8rCJb54hHfn0ylxIBidBDBDgCAWlW6YkNF0TIb7JwR\n35sK+9hjh04i2AEAUKvZcSdeHC2zwc4Z9f3pMEzoikUHEewAAKjVeJykfT/r+14cL7PBzhkJ\nAuN5+43tzLUBItgBAFC78TgeCwJJNorUt+R5Ys5IGEqaNKYTVwZIItgBAFC7icSMhYEkL45s\nsFLFLgwkTVOwQwcR7AAAqMn+xMwYMxaGMkZJssyxE85IKiVp0lKxQ+cQ7AAAqMlsS2y50XXF\nYBeGkqbktf/SgDKCHQAANZkdYmfL04lXCnaBL2nCEuzQOQQ7AABq4ip2a4Kg1opdEEia9vhV\ni87huw0AgJpUzhMLyse/1jDuRNK0T8UOnUOwAwCgJpWl2NBzM4dTK4w7GQ0DSZM+v2rROXy3\nAQBQk31J+dgJxbGkGgYU+5ImgxVWbIEWItgBAFCT2YqdopK0csXOLcVOBqEss+zQIQQ7AABq\nsnDcSW177CbDlJfE7b86QCLYAQBQo0pXrO+aJ1Zcik153oA1U6mUdc0WQPsR7AAAqMm+xAz6\nftovB7sVl2IljZhkMuwrV/iA9iPYAQBQk/E4HnNVurimip2kEWOmUn2iYodOIdgBALAyK03E\nyVgYSHIVOG+lAcWS1sjuD8M4JtihQ1b+30btpqenL7vssm9/+9uS4jh+//vfv379eklnnnnm\nW97ylq1bt1prfd+/7LLLJNV+c8OGDS28SAAAGjCVJLG15YpdqaYjxSSNWEmamplZ296rA8pa\nFuweeeSRH//4xxMTE+7miy++eNppp/3DP/yDu/npT3/6/PPPP/PMM7dt23bzzTdba2u/ec01\n18x9oCiKLH3jrWOMkVQqlYIg6Pa1oGWSJJEURRFvay9xP/qMMaVSqdvXshrtLpUkjXpeqVTy\nZmZCKZKSld6LYRlJ+wrFwZW+kre1x9T7c7ivb+Utm7VoWbA75ZRTTjnllPPPP9/d3Llz5+9+\n97t3v/vdY2Njmzdvfvrppz/5yU9KOvXUU7ds2WKtrf3mggfat2/fzMxMqy4bzksvvdTtS0Dr\nTU5OdvsS0HozMzO7d+/u9lWsRs/GiaT0THH37t3rp6f6pfHp6eJK70U2itSnFyYm+tKZ5b+S\nt7Un1f5z+Mgjj2zJI7ZyKXau9evXf+ADH3jDG97w05/+9Etf+pJbV5VkrXUlorpuzpXJZFI1\nbGtAjYrFYhzHAwMDnsdphr2jVCqVSqV0Oh3WsLkbLxfW2lwuFwRBJrNCREA7FAtFKXdIOj04\nONjveZIyQ8Ph4ODyf2tNEEiaCcPBpb8yl8t5npfNZlt7weiubv0cbteD7du3b3R0NJvNnnji\niXfdddexxx776KOPnn766Y8//vhxxx1nra395oJ7Hh4ebtM1r0579+6N43h0dJQ1u14yNTVV\nKpWGhoZIAL3EGJPL5fr6+tauZb9WF5T2TUr7jhgaXLt2bV8QSBoeG7NrVngvxvr7JM2klnvX\nCoWCJN7WHtOtn8PtCnZHHnnkli1bisVisVj8+Mc/vn79+htvvPH++++Pomjz5s3GmNpvtukK\nAQCo3eyxE5KsG3dSw/LRaODLaGrR6hPQJi0Odvfee6/7YN26dQuaHq699tqGbwIA0F374kTS\nWjfuJIokeWFqxVa+kSCU0VSStP36AEnMsQMAoBZzK3blI8VqqNiNhL6kaSp26BSCHQAAK3PB\nbm3gS1IcyfdVw9bkkTCUNMmQLnQKwQ4AgJXtS4wnra1U7GxQ016m0VSfpCmCHTqFYAcAwMrG\n43g4CFKeJ8mLo1rOE5M0kkpJmmScFDqFYAcAwMrG49gdFCtJUVTLBjtJQ2HoWTvVxusC5iHY\nAQCwgsTayTgZm500G8eq4aBYSUFf31AST3oMCkWHEOwAAFjBRJKY2ZZYyYtrrdjZMByJoymO\n9kGnEOwAAFjBuBti51pirVWS1LjHzkulRqNoyqdihw4h2AEAsIJ9SaJKxc6LY1lrazsA1Iap\n0aiU9/wZRtmhIwh2AACsoDzELgwk2agkyda2x05BMBqXJE0lBDt0AsEOAIAVuKXYgxU7SbUt\nxUoaSWKJU8XQIQQ7AABWUDlPLJDK54nVcuyEM2qsCHboFIIdAAAr2De3YpfEkmocdyJpxLiK\nHUux6ASCHQAAK6gcFBtIkluKra15QtKoNaJih04h2AEAsIJKV2wgSUkiyda8FDtsWYpF5xDs\nAABYwXic+NJoQxW7NbKSJgl26AiCHQAAKxiP4zVhGLgDJNweu5pnDg9LkqajuD2XBsxDsAMA\nYAXjcVxeh5U8V3urfY+d50macr20QJsR7AAAWE5k7f7ErJ3dVBdHqmeP3YgLdjEVO3QCwQ4A\ngOWMx7GtzDqRys0Tdeyx832xxw6dQrADAGA5+xKj2ZZYVZonglqD3WDgBdYyxw6dQbADAGA5\nlWMnykmuvMeu5qVYhanhOJoyVOzQCQQ7AACWU55OPFuxq/PkCYWpkSiaMrYd1wYsQLADAGA5\n43POE5PKS7G1N08oDEfj0qQl2KETCHYAACyncp5Y5Tdmnc0T6usbjUslqyLZDu1HsAMAYDn7\nqlXsag92NgxHo0jSZMw2O7QdwQ4AgOVMJPOCnWfqbp4YKQc7Rtmh7Qh2AAAsp7LHrsFxJ26P\nnSQmnqADCHYAACxnPI5DzxueLdFFdTZPpFLDUSRpihnFaD+CHQAAyxmP47Ew9GZvm/qaJ2wY\nrilX7Ah2aDuCHQAAyxmPk4Mtsap/3EkqNRoR7NAhBDsAAJZUNCZnzNo59Tl38oRXxx67SvME\ne+zQfgQ7AACWtPCgWFWaJ1J1BLvROJI0TcUO7UewAwBgSQsOilVl3In1a12KtWE4QvMEOoVg\nBwDAkirB7mCMs3Es35df8y/QVGpNxLgTdAjBDgCAJbkhdnP32CmOay/XSVIYjkQlSZNU7NB+\nBDsAAJa08KBY1zxR+0Gxkg1Tg0mcspalWHQAwQ4AgCXtm3+emCQlsVdPsFMYyvOGk4Rghw4g\n2AEAsKR98cJg58VxHUPsJEk2CEeTiD126ACCHQAAS6rSPJHEdRwUK0nyUqmROJpKEtviqwMW\nItgBALCk8UUVO8WxDeus2IXhmiiKrc0binZoL4IdAABL2hfH/b4/OGe4iWdMvRU7pVIj0YyY\neIL2I9gBALCk/cYMzz0o1hgZo3r32IXh6MyMmHiC9iPYAQCwpJwxWW/+rBOprnEnkrxUarRc\nsSPYob0IdgAALCmXmAHfO3jbHRRbZ7CzQWqYU8XQEQQ7AACqs1LBmMFgfkusVO+4k9lTxSZd\nLgTahmAHAEB1eWOMNOAvWoqts3nChuFIuWJH8wTai2AHAEB1B5JE84Od4khSvc0TXqpvNHYV\nO5Zi0V4EOwAAqssZK2nuUmxjzRM2DEejSNK0IdihvQh2AABUlzNGUvPNE0qlRuKSWIpF+xHs\nAACoLpckkrJzl2KTRJKtf4+da56gKxbtRrADAKA6txQ7MHdAcWMVuzAciSOxxw7tR7ADAKC6\nylLs3IpdLEl+3eNOMknS71GxQ9sR7AAAqG5xsGuweSJISRqRZY8d2o1gBwBAddXGnTQ4oFjS\nCHvs0H4EOwAAqnMVu8FgYfNEA+NOJI1YO50kxrbwAoGFCHYAAFSXd80TVQYU1xfsvFRK0qhN\njHTAsBqLNiLYAQBQ3eKl2MqRYvUtxbqK3WiSiNVYtBnBDgCA6vLWjTuZE+OSBgcUSxo1RtIk\nwQ7tRLADAKC6pU6eqLt5IkxJGoljUbFDmxHsAACorkpXbLl5IlXfHbmu2IRgh7Yj2AEAUF2l\nK3ZOfa6hkyfKe+ziSBwXizYj2AEAUF3OmMDz0t7BpVjPNNI8obBP0kg52FGxQxsR7AAAqC5n\nbHbuBjtVKnZ1jjtxFb41EcEObUewAwCgulySzNtgp+ZOnigVJE3GBDu0EcEOAIDqcsYMLshw\nDZ4VG8jzRkslUbFDmxHsAACoLmfswopd0lDFzvMUhKPFggh2aDOCHQAAVUTWzhgzMH+PnRcn\nkrx699hJNgxHZ4qiKxZtRrADAKCKKrNO1OC4E/dX+kozGd/j5Am0FcEOAIAqKsdOzPtF6cad\n1L0UKymV8uJ4JAhYikVbEewAAKgilxhJWW/eUqyNY/m+/Lp/e9owZaNoNAwJdmgrgh0AAFUs\ntRRr/frLdZJSKS+JRwL/QGISa1txgUAVBDsAAKqovhSbJI1ssJMUhjJmxPetNE3/BNqGYAcA\nQBUHkkRSdtG4E6+xYJdKSRr1PDHxBO1EsAMAoIq8sZIGg4UVu0Y6JyQbhpKGCXZoM4IdAABV\nHKi2FGvjuO6DYp2wT9KwrKT9hqVYtAvBDgCAKqrusVMcNVaxczvzhqxVJTIC7UCwAwCgCjfu\nZNEcO9Ng80QqJWlIRtL+mKVYtAvBDgCAKvKuYjd3j50xMqax5gm3x27QULFDexHsAACoYvFS\nrJc0euyEyhW7wSQWwQ7tRLADAKAKN+5k3lJswwfFanaPnRHBDu1EsAMAoIpcedzJwfqcTWI1\nXLELU5KGkljssUM7EewAAKiishR78KxYtxTb2LgTG6YkDcaJGHeCdiLYAQBQRZWTJ9xSbGMD\nilOhpMEkEkuxaCeCHQAAVeSM6ff9lLeoYtfQHjsvTEkaiWNJBzgrFm1DsAMAoIq8tXPXYSUp\njqQGg51bih2ISpL2c6QY2oZgBwBAFQeSZOGxE27cid/4uJMwjtKex1Is2odgBwBAFTljFp0n\n1vi4EzegWFE0FAYEO7QPwQ4AgIWslDd2cEGfRNJ484SXSkny4njQ99ljh/Yh2AEAsFDR2GTR\nHrtK80SqgTusVOxKg75PxQ7tQ7ADAGChKsdOqLwU28yAYsXxUOAXjSkZ2/Q1AlUQ7AAAWChv\njaSBhUuxjY87cV2xiqKhIFBl+jHQcgQ7AAAWcueJLeqKdXvsGppj5/bYJfGg74sZxWgbgh0A\nAAtVlmIXzLFr4uSJMFSleUIEO7QNwQ4AgIXcUumCrthmTp6Q5ykMbRQNBr6YUYy2IdgBALCQ\nC3ZZb0HzRKSGmyckG4ZeXN5jx8QTtAnBDgCAhaovxboyW0N77OSOi40itxS7n6VYtAfBDgCA\nhfLGatFSbDMnT6hcsWOPHdqLYAcAwELlpdj5XbGecRW7hpdiUzau7LGL2WOHtiDYAQCwkAt2\nS5wV28jJE5KUSnlxPOQHomKHtiHYAQCwUC5xwa7KuJOGmycUhkqSIc8TwQ5tQ7ADAGChquNO\nmjl5QpJSKUlDsiLYoW0IdgAALFR9KTZpqmJng1DSgEnEuBO0DcEOAICFDiRVgp0bUOw1Ou6k\nXLEzRgwoRtsQ7AAAWKiyFFu1eaLRYBemJA0lsaQDhmCHtiDYAQCwUN4YT0p7VSp2jTdPpFKS\nsiYJPW8/S7FoD4IdAAALHUiSrO8vaIq1cSzPk9/gr04bhpJsFA34Ps0TaBOCHQAAC+WMXdgS\nKymOGy/XSUr1SXKHT7DHDm1CsAMAYKGcMQuH2Lml2IanE6uyOS8qDYUBFTu0CcEOAICFDiTJ\nwlknkpLYa7hzQuU9dq5il0uMbeLygKUQ7AAAmCextmjt4mDnJUkzS7Fuj53ieND3jVSgaIc2\nINgBADBP3lhJA8HCX5E2jtXwEDtVDpmNSoO+L0bZoT0IdgAAzFP92Ak13TwRhnJLsYELdlTs\n0HoEOwAA5jmQJKoW7DyTND6deHYpNoqGg0AcF4v2INgBADBP5diJ+cU5Y2RMc80TfZKUxG4p\nlmCHdiDYAQAwT87tsat2UKz1m26eiCK3FEuwQzsQ7AAAmMctxWYXzLFr8qBYyZsz7kTS/pjm\nCbQewQ4AgHmqLsXaJJZkwxZU7IbYY4e2IdgBADBP3i65FNuCcSdxxB47tA/BDgCAecpLsV61\npdhmBhSn3Bw79tihjQh2AADMU3Uptlyxa36PXaUrdpo9dmgDgh0AAPPkqw4oTpptnrABe+zQ\ndgQ7AADmOZBUDXbNjjuR7ysIFMdDLMWibQh2AADMUzlSrMXjTuQaY6NK8wRHiqENmvoGBQCg\n91Q/eSKOpKaaJyR5YUpx5GqB+xP22KH1qNgBADCPC3bZquNOmq7YeXEcel7a81iKRTsQ7AAA\nmCeXLL0U28wcO0mplI0iSUNhQLBDOxDsAACYJ2dMyvP6qzZPNLcUa8OUF0eSBn2fPXZoB4Id\nAADz5IxZ2BKr2XEnqWbu2UullCQyZtD391OxQxsQ7AAAmOdAklQJdk2fPKHKcbFekgwF/owx\nJWObuTdgsVZ2xU5PT1922WXf/va3Je3cuXPr1q3WWt/3L7vsMkkN39ywYUMLLxIAgOXljD0s\ntTDAtah5IiXJVmYU54zpa2YwHrBIy4LdI4888uMf/3hiYsLdvOmmm84///wzzzxz27ZtN998\ns7W24ZvXXHPN3AeampqKoqhVl42ZmRlJ+/bt8xacioiXM/dvZHp6OpfLdfta0GKlUmnv3r3d\nvooel0uSvsBf8DoPT08PS1O5XLGJ13+tMVlp4sU9qSiRtGPv3iQMjDGSeFt7TL0/h9etW9eS\nx21ZsDvllFNOOeWU888/3918+umnP/nJT0o69dRTt2zZYq1t+OaCByoWiy6LoIUKhUK3LwGt\nx7+UnpQkST6f7/ZV9LKStbGUtnbB65yZKUoqRnEzr/+wJGkmd6Df65M0XiisCcprvrytPanz\nP4fbNaDYLaS6D9z/RZq5Ode6deusZVNCy0xMTBQKhUMPPTRobuMI/qzs379///79a9euTafT\n3b4WtIwxZvfu3f39/WNjY92+ll62L060b/+adPoVr3jF3M/3PZORNHbooaPzP1+X/qFhSYes\nWXOo8fXSvszY2CuymT179kg69NBDm7tw/Hnp1s/hdgW7Y4899tFHHz399NMff/zx4447zlrb\n8M0F90z+aC23AhuGIS9sL3H/NQqCIGxuPxD+rMz+v5e3ta1mjJU0FC785xNYK8lP9XlNvP5e\nf7+k0JjhsE9SXt7so/C29phu/Rxu14NdfPHFN9544/333x9F0ebNm40xDd9s0xUCALBY5aDY\nxV2xkSQvFTa1ZpTNSvLyucHRrCRmFKPlWhzs7r33XvfBEUccce211879o2ZuAgDQGQeSRNWD\nXazmBxRnBiQpnxtce6gIdmgD5tgBAHCQq9gNLg5w5XEnTQ0o1sCAJC+fd+NO9sdJU/cGLEKw\nAwDgoLyxkrL+oglQSQsqdiadkaR8btD3RcUObUCwAwDgILcUm120FOsGFHtBc1uYBgYk+YVy\nxY5gh5Yj2AEAcNCSS7HuSLEmOxzLe+zygwEVO7QFwQ4AgINyxkoaWLwU25LmiXRavn9wKTYh\n2KHFCHYAABy0ZFdsksjztPjzdfE8ZbJeJdjtT2ieQIsR7AAAOChvl+qKjZss1zkmk1U+V+6K\nNQQ7tBjBDgCAgypLsYuaJ+Kk2Q12TnbAi6KsSULPYykWLUewAwDgoMpSbJVxJ822xEqS7EB5\nRvGA79M8gZYj2AEAcFC+fKTYwlVXL0lsSyp2mcqpYr7PHju0HMEOAICDljor1saxWlmxyw+F\nARU7tBzBDgCAg3LGelVPnohb0zxh01mpfPhELjG2+XsE5iDYAQBw0IEkSfte4C0Mdp5pVfNE\nVpJfyA/6vpEKFO3QUgQ7AAAOyhlTZdaJMTLGa0Wws9ly84QbZTfNNju0FMEOAICDcsZUmXVi\nEkl2UUdFI7IDkrzZU8WYeIKWItgBAHDQgcRkF63DtuagWElzKnbDQSCOi0WrEewAACizUrHa\nUqxtxUGx5bvKZFQZdyKCHVqNYAcAQFneGFP12Am3E64lzRNhaPv6vEJlKZZgh5Yi2AEAUFY5\ndmLRL0e3FNuSPXaSsgNePu8qdvtjmifQSgQ7AADK3EGxi5diyxW7VCsqdm6bXbEw5HmiYodW\nI9gBAFBWOXaiykGxUouWYiVlB2TMYJJI2k+wQ0sR7AAAKMsliaTs4qXYpHXjTir9E0NxSYw7\nQasR7AAAKHNLsQPBEnvsWlSxcxNPhkozkvYzoBgtRbADAKCsshS7RLBrxbgTqTyjeLhYFHvs\n0GoEOwAAypYKdq0cdyLZbFbSYLEggh1ajWAHAEDZ0uNOIkkKWtc8IQ0XcmKPHVqNYAcAQJmr\n2A0u3mPnmidatBRrMllJg/mc2GOHViPYAQBQlnfNE1W6Yls97kRK5fNpz2MpFq1FsAMAoGyF\nkyda1jyRlaRCbigMCHZoLYIdAABleevGnSxx8kSYasmj2P60gkC53KDv72ePHVqKYAcAQNmS\nJ0/EsVq3x06ep0zWK+SHfJ+KHVqLYAcAQNmSS7EmkVrXFSuZTEa53GDgzxgT2VbdK0CwAwCg\notIVu6gy19KTJyQpO+DF0ZDnqbL+C7QEwQ4AgLKcMYHnpb2FS7HlPXatWoqtnCo2aK2kHMEO\nrUOwAwCgLGdslQ12akvFTtKQSUSwQ0sR7AAAKDuQJNnFG+xUnmPXsuaJ2YpdEotgh5Yi2AEA\nUJY3psoGO83OsWtZxc5mMpKG4khSjlyH1iHYAQBQljO2SkusWn3yhCpLsVFJVOzQUgQ7AAAk\nKbJ2xpiqe+y8lp4Vq9ml2JkZEezQUgQ7AACkZWadqLwU67Xo5AmpfKrY8ExRUs4Q7NAyBDsA\nAKSDx05U+83Y2pMnKhW7oWJBVOzQUgQ7AAAk6UCydLBLEnmeqv5RQ2wmK88byudFsENLEewA\nAJCk/DIVuyRuYblOkoLA9vUNF3KS8q28X6x2BDsAAKRll2K9JGllS6yTHRjK7Rd77NBSBDsA\nACTpQJJIqj6gOI691g2xK8tmhw4ckHTAmhbfM1Yxgh0AAFKlcjYYVK/YtXgpVrLZwcHIDSim\nYoeWIdgBACAtuxRr47jlS7E2k8maOGQpFi1FsAMAQFpp3EkbKnYDkgY8j4odWohgBwCAJOUS\nIylb9eQJk6iF04kdN6PYs3TFooUIdgAASNJ4HEtas7hJwhgZ47V+KXZA0qCxVOzQQq3u8QEA\n4OVpdxxLOrxvYWXOM4kk67d4KVYDLtgleXkkO7QKFTsAACRpdymSdEhqUckjjiW1vHnCpDOS\nBpPYSAWKdmgRgh0AAJK0J45HgyDtLdxjZ1t9UGzZwICkoSgWE0/QOgQ7AAAkaU8UH7ZoHVbu\n2Am1vmKnzICk4XhGTDxB6xDsAADQAWNyxhwaVivLuaXYVu+xs/39CoLBmRlRsUPrEOwAAChv\nsDss1cGKnecpkx2aKUpi4glahWAHAID2xLGkQ6umt6QtzROSTCY7VMyLih1ah2AHAIB2R7Gk\nqnvslCRqR/OEpOzAUKkk9tihdQh2AAAsW7Frz7gTSTabHYojUbFD6xDsAACY3WO3dLBrT8Vu\nMI4lHSDYoUUIdgAALFexa1fzhGSzA0NJLJZi0ToEOwAAtDuKtOQeO1exa8tS7HBcEl2xaB2C\nHQAA2hMnGd8b9Kv9Wmxf80Qm65Zi2WOHViHYAQCg3aXo8GpD7KR2Nk8MVJZiCXZoEYIdAGC1\nmzFmKkmqt8RKiiOpPc0TmYFB1xXLHju0CMEOALDa7YkTKx26RMWu3DzRhj12JpsdYikWLUWw\nAwCsdpXOiaUqdrHatscukNLGEOzQKgQ7AMBq92IcSzpkqaVY065xJwoC29c/nEQ5ch1ahGAH\nAFjtKtOJl2+eWOJPm5QdeMVMcXeSFI1py/1jlSHYAQBWu91xLOmwJWpylT12bViKlZTNnjIx\nHktPFmbacv9YZQh2AIDVbncUa6npxGrjuBNJJpM9ZWqfpO2FQjvuH6sNwQ4AsNrtidx5YkvU\n5JK2NU9Iyg6Ug12eYIcWINgBAFa73VHU53trl6rJtW3ciSSbHThx/1Sf9GuCHVqBYAcAWO32\nxPH6IPSW+uN2LsUqm+2z5jgT/7Y4U2ToCZpGsAMArGqJteNxsuQQO8lr51KszWYlvSGaia19\nnKIdmkawAwCsai/FcWLtkueJqVyx89pTsbOZrKQ3FPNiNRatQLADAKxqrnNiySF2qpw84bep\nYjcgaVP+gOifQCsQ7AAAq9ruckvs0gW5JJHntW2O3YCk46cn055HsEPzCHYAgFVtT7zsEDtJ\nSdyuWSeSsllJ6WL+hGz66ZlSnvMn0ByCHQBgVdsdRVpmiJ07eaJNLbGS6AG9JAAAIABJREFU\n7U/bIAiKxZOz2cTax/PFNj0QVgmCHQBgVVt5j12SeO0ZYueY/nQwU9yUSYv+CTSNYAcAWNV2\nrxTsvLidS7FS3N8fFIsnZzPiYDE0jWAHAFjV9sSxL61beinWJnH7lmIlmXTGS+KNgZfxve0F\nlmLRFIIdAGBV2x1F61Jh6C158ITaXLFL0hlJQaHw+kzmmULxAP0TaALBDgCwelnppThZbtaJ\na55o5x67pD8tycvnTs5mjPQ4RTs0gWAHAFi9JuJkxpjlOieMkTFtOnai/AjptCTlc5vcNjv6\nJ9AEgh0AYPVyQ+wOTS19UKxJJNm2VuzSGUlePk+wQ/MIdgCA1csNsTts6WDnzhNra/NEeSm2\nkD+mvy/r+0w8QTMIdgCA1WvPSueJWXdQbHubJ8pLsYHnnZTNPFec2Z/QP4EGEewAAKtXpWK3\n9BC7JJE6UrHL5yVtyqSN9BjT7NAogh0AYPVy04mX2WOnJJYkv+3jTpTPSdqU5fwJNIVgBwBY\nvVzzRHcrdqY/Lc/z8jlJJ2ezkrZzYiwaRbADAKxeu0uRpEO62jxhfd+k+rxCXtLr+vsHfZ+D\nxdAwgh0AYPXaE8ejQZBe5tiJxI07aeNSrKSkP+322PmeTsqmf1ecmXKVQqBOBDsAwOq1J4oP\n61t6OrE6UbGTm1FcLMgYSZsyGSs9xvkTaAjBDgCwSh0wJmfMoeGy1bi47c0TkuL+tKxVIS/J\njSmmfwKNIdgBAFYpt8FuufPEOtI8IclUDp+QdDLnT6AJBDsAwCpVPk9s+dCWdGIptnyqWCEv\n6bXp/uGA8yfQIIIdAGCVckPsVthj16HmiX5JbuKJJ52UyTw/U5qI6Z9A3Qh2AIBVylXsDqll\nj13bK3ZpSW6PnaSTsxkrPcrQE9SPYAcAWKX2RJGkQ5fdY1cOdm2u2JX32OVy7uYmttmhUQQ7\nAMAqtSdKtNIeO88kkhS0t2IX98+r2G3MpCU9N1Nq64OiJxHsAACr1J+ikvT/s3ffgXFdVcLA\nz73vvZk3b0a9d3e59xbXVAjpJKRBSCAsJcvCZoHdL6F9gWUpux8QCC0QCGxIAgYSh3SSOHFs\nx3bcuyRLttX7FM3Mm/fmlfv98SRZVp2Rpkk6v7+s0ZSrkTxz5tx7zoGi0TN2mgbxP2NniiL0\nFU8AgNWBpcNKFiIUDQzsEEIITVPtuuGgJI0b9a3QTES7E8MuQl/xBABk87yNknYNAzsUNQzs\nEEIITVNtYW30JnYAiZo8YbMDx4Hcm7EjALkch4EdGgcM7BBCCE1Hqmn6DGOMJnZ9DYoZjW9g\nBwDgkPozdgBQKAidum4wFvfHRVMLBnYIIYSmo3bdYGONnQDozdgRIe6BnSlJpC9jBwD5PG8w\n1o2t7FCUMLBDCCE0HbVpGgAU2saK2Awd4l88AQDgcIKuEU2zvioQeOjrtIdQ5DCwQwghNB1Z\nJ9jG3Iq1Jk/Eu90JADCnEwCgbzfWmofR3hfnIRQhDOwQQghNR70Zu9QongAAcEgwoDA2j7M6\nnuBWLIoOBnYIIYSmIytmirR4Iv5bsUyyMna9x+ysjF0bZuxQlDCwQwghNB31nbEbK2Nn6ABA\n4p+xYw4HwMWt2HyeB4AO7HiCooSBHUIIoenIqkuwZjyMRtcBgNH4F09ITgCgfcMnrD1iLJ5A\n0cLADiGE0HTUFtYEQrLGrIrQdSAEErYV2xfY5fMcYPEEih4GdgghhKajdt3I53lKxrqeYSSg\nJBagN2NHgr1bsSKlGRyHxRMoWhjYIYQQmnZCJuvUtFL7WAfsAKgcZA4xAUtikgQAELo4fKJA\n4NvCmLFD0cHADiGE0LRToygmQKXdPvrViK5DMMAyshKwJOaQgJD+jB0AFPB8wDRl00zAo6Mp\nAwM7hBBC084ZRQGA+WOm4rweYAyyshOxJo5jNjsJhfovKLDqJ7AwFkUDAzuEEELTTrUSBoD5\nY2bsvB4AMDMTkbEDAJCk/gbFgPUTaFwwsEMIITTtnAkpALBgrIwd8XkAIDFbsQAAkhOUEPTt\nvfZm7LB+AkUDAzuEEELTTpWqpnG0UBhr7ITXAwAsURk7JjmBMVB6d2MLBB4wY4eihIEdQgih\n6SVksgY1vEAUx2x1kujArndcbG8rOyuw68AexSgaGNghhBCaXqyS2PniGAfswArsOI650hKw\nKujreEL6Op5g8QQaBwzsEEIITS+RlsQCEJ+HpWcATdR7pXRJxq63eAIzdigaGNghhBCaXiIt\niVUVoigJ24cFAOZwAgD0Fcbm8LyNEszYoahgYIcQQmh6ibQk1pvYklgAcDphQMaOAORyHBZP\noKhgYIcQQmh6ibgk1gsJrJwAAFN0AFzM2AFAgSB06YbBWMLWgCY7DOwQQghNI1GUxPoSWhIL\n0JexC8n9FxQIgs5YN7ayQxHDwA4hhNA0El1JLICZyK1YxyVbsQBQwHOAHU9QNMZIRI+bruv3\n3HNPXl4eAGzcuHHz5s0/+9nPGGOU0s9//vMAEPmXJSUlcVokQgih6cYqiR3zgB1cbGKXGfc1\n9WF2O3DcoK1YAGjX9MWOhK0CTW7xCuw6OjpWr179la98xfrym9/85g033LBx48Y9e/b8+te/\nZoxF/uW3vvWtgfdsGAbD0waxYz2Zuq7jszqVmKYJAIZh6PhBfwqxfq2maeKvdSJOywoAzOH5\nMZ9Gm9fNBEG32SEhT7i1HiY6iBzsX1suJQDQoqq6PnYkilJKtK/DPB+bkCxegV1zc3NdXd0d\nd9yRk5PzwAMPVFdXP/zwwwCwatWqxx57jDEW+ZeD7rmrq0tV1Tgte9pqb29P9hJQ7Lnd7mQv\nAcWeqqotLS3JXsUkdqxHBoAsn7fF7xvteozN8XjCrrSW1tbELMz6tVYINsHv6/8V86oGALVu\nd0soONqNUaqK/HW4vLw8Jo8Yr8AuLy/v3nvvXbZs2Y4dOx599FFrXxUAGGNWDBvVlwM5HA5B\nEOK07GlIURRd151OJyFjniRGk0Y4HA6Hw6IoxuojIEoFjLFgMMhxnMOB23Ljd75HTqNkZnra\n6C95NCRTQ2eZWS6XK95LCgaDhBBJkgAAJCf1utNEO+MFACgXwhAI9fBCApaBYitZr8PxejC3\n252ZmSlJ0uLFi7dt21ZZWXns2LG1a9eeOHFi/vz5jLHIvxx0z+np6XFa8/TU1dWl63pmZibH\nccleC4oZn88XDofT0tIwAphKTNMMBoM2my07OzvZa5msQiZrqm9Z45JyxnoOSXMQAIT8/AQ8\n26FQCACsB+IzMqClMdtuZxmZADA3HIa2Lh/H4S990knW63C8Arvy8vLHHntMURRFUf7t3/4t\nLy/vV7/61WuvvaZp2gMPPGCaZuRfxmmFCCGEpptqRTEBKseaOQEANPHdiS1Sb8cTK7Ar4HnA\ncbEoGvEK7HJzcwcVPXznO98Z95cIIYTQxFVFXRKb6MCOSU4AgGDviTqR0nSO4rhYFDnsY4cQ\nQmi6qFLCEFnGLgndiQEAgFnbdgNKJQoFAaeKochhYIcQQmi6qIpsSixcHBSbuCZ2vSQnANAB\nPYrzed5vmPKQUkKEhoWBHUIIoemiSlXTI5gSCwDE62EOB7Mnuntc71bsJVPF8JgdigIGdggh\nhKaF3imxjrGnxIJpEn9PEionAECSAIAMHD7RWz+Bu7EoIhjYIYQQmhYiL4kl/h4wjMQfsIP+\njN3ArViBB4AO3Uj8YtBkhIEdQgihaSGKktgkVU4AAHNIQMjAjF2hIABAG2bsUGQwsEMIITQt\nWCWx88UIMnZJ6nUCAMBxzGYjoUuKJwCgEzN2KDIY2CGEEJoWqhQVAOaLkZTEeiEp3YktkvOS\njJ0NM3YoChjYIYQQmhaqFCXCkliaxIwdAEgShELQ198kn+cAoAN7FKPIYGCHEEJo6ouiJNY6\nY0cIy8iI+7KGwxxOYAwUxfoyh+cFQrDdCYoQBnYIIYSmPqskdn4EJbEAAB43c7qAF+K8qOGx\nSzueEIBcnsOtWBQhDOwQQghNfb0H7CIoiQVdI8EAZGXHfU0jYA4JAAbWTxQKQpdumCxZK0KT\nCQZ2CCGEpr6+yolIpsT6gLGkVU5A71SxS3oUC4LOWDces0MRwMAOIYTQ1BdNSawHAMzMhE+J\n7TNMj2Ksn0ARw8AOIYTQ1Bd5SWxvd+JkZuwGTxXr61GMgR0aGwZ2CCGEprjoSmKT2+sEwHRI\nAAADztjlYcYORQwDO4QQQlNcVCWxSQ/srDN2VL6keAKwRzGKDAZ2CCGEprgoSmKtwI5SlpYe\n50WNTLIydhe3Yq2pYh24FYsigIEdQgihKS7yklgAID4PS88AmrT3R2YXgeMgOLAqlgeAdtyK\nRRHAwA4hhNAUdzKkAMCCSHqdhMMkFEpm5QQAEAIOaWAfuwJBAAAcPoEigYEdQgihqYwBHJbl\nEkGwTqqNjnjdkNwDdgAAYDocAzN2DkrSOYrFEygSGNghhBCayuoU1a0bq52OSK6c/MoJi+Qk\nukb0i9USBYKAxRMoEhjYIYQQmsoOySEAWGlVJIylL7BLWndiy3A9inm/YYZwrBgaCwZ2CCGE\nprLDcggAIs3Y+TwAYCb3jB0MM1XMaq3cjkk7NBYM7BBCCE1lh+QQBVgmRbgV64UU2IplVn5R\nHtzxBOsn0JgwsEMIITRlhU12IqTMF+2uCNuXeNyM58HpivO6xsDEwYEddjxBEcLADiGE0JR1\nUlFU01zljOiAHQAQnxcys4BEMnssnpxOAKChUP8FfR1PcCsWjQEDO4QQQlPWwaAMAKsi24eF\nYIBo4aTvwwIAcwzJ2FnDJ3QjWUtCkwUGdgghhKasw7ICAKsjy9hRnxcAktyd2NJbPDGwRzEW\nT6CIYGCHEEJoyjokyw5KIh0mliJN7ACYwwEAoFzcis3HjB2KDAZ2CCGEpiafYdQp6jKHg4/s\nzJzV64RlJLmJHQCAwwEAA6eK5fC8QAj2KEZjwsAOIYTQ1HRYDpkR78MCAPF4AIBlZcdzURFh\ngg14HgYUT1AC+TyPgR0aEwZ2CCGEpqboKicuZuySvxULACA6yICtWAAosgmdumEwHD6BRoOB\nHUIIoanJmjkRRa8Tr4fZRSaK8VxUpEzRAQO2YgGgkOcNxjrxmB0aFQZ2CCGEpqYjspIn8OU2\nIaJrM0Z6fKlQOdHL4SDhMBgXw7himwAArbgbi0aFgR1CCKEpqDGstWnaKkfE+7D+HjCM1Ans\nmOgAgIFJO6uVXStOFUOjwsAOIYTQFHRIlgFgpTPiwC5lep30kiQAIAPqJ4owY4ciwCd7AQgh\nhCalkMnOKMrpkHI6pJxW1NOKksFxe+fPibC3SLwdDoYAYJUUxQE7SKXAzsrYEVXpr5UoEngA\naMOMHRoVBnYIIYSic1gOfa6+qVZRzQEX2ijp0PQqRV3sSInig0NyiACsnKQlsQAgDm5lVyRg\nxg6NDQM7hBBC0flGc1uNoq51Sosc4kLRvtAhLnKI29ze/2hqPRiUUyGwMxg7Kodm2e1ZPBfh\nTWiqZewcg8/YFWLGDkUAAzuEEEJR2BeU9wSCW9Kcf58zc+DlVh/gQ3LoE8lZ1yXOKGrQNNdE\n3OgEAMDjBkIgMwXGTlgcg8/YZXKcgxLM2KHRYfEEQgihKHynpR0A/k9h/qDLF4uinVKrJ3DS\nHZJDALBCiiJ3SHwecLoYH1lvlPhjDgngknGxAFAoCJixQ6PDwA4hhFCk9gWCuwPBLWnOjS7n\noG/ZKFniEKsV1W+Yw942kQ4FZQBYHXHlBOg6CQRSZx8WoH9c7KXDJwTereuKmfxnGKUsDOwQ\nQghF6r9aO2C4dJ1ltdNhAhy7NBZJikNyyEbJYoc9wuuTHi8wZqZSYDe0jx0AFAkCA2jXMWmH\nRoSBHUIIoYi8F5B3BYKbXMOk6ywrHQ7om9CaRLJpViuqtTUc4U1SrdcJQF8fu8FbsTwAtIaT\nfMzu681tDze1JncNaCQY2CGEEIrI99vaAeDhouHTddBXP3EwmOSM3bGQojMW+YhY6A/sUqfX\nCQATbMBxMHgrVgCAtqRm7BTT/E2X+8luj8HY2NdGCYeBHUIIobHtCwTf9Y+WrgOAmXZbDs8f\nlJMc2B0IygCwKqrKCa8XUi1jBwAOiVy6FZsKHU+OyiHVNBXTbEh24hANCwM7hBBCY/tuWwcA\nPDRyug4ArIbAbZqW3Hmm0c6cgP7uxCkW2DGHY+gZO0h2j+L3+wL3akVJ4jLQSDCwQwghNIb9\nAfldf3C9y7lp5HSdZZUz+cfsDspyBsfNtkdaOQHWViylLC09fqsaB2YXSTgMhtF/SSpk7N4P\n9P5ya9RwEpeBRoKBHUIIoTF8t60dAL42arrOskpyAMBBOWmBXbeuN4W1FZKDRjOxlno9LD0D\nIi62SIyhreyKBRsAtCR1D/SgHOIIAYCqEGbsUlFq/REjhBBKNfsD8k5/cL3LuXmsdB0ArJYk\nAnAoefUT59UwAMwTo0nXhcMQklOqcqLXkOETDkoyOC6JxRP14XCbpl2e5uQIOYsZu5SEgR1C\nCKHRfK+tAwC+OkLvukGyeG6m3XZEDiWrZLIxrAFAqS2KARKp2OsEAIYbFwsARTYhie1OrH3Y\nTS5nuU3AM3apCQM7hBBCI3q0vfMdf2Cjy7klbex0nWWVUwqaZnWS0jmNmgYA5VEFdilZOQEA\nIDoAgKqXxE+FPB8wzUCShk8ckEMAsNYpVYpij2HifLMUhIEdQgih4T3V7flWS3uhIPyioiTy\nW61KaptiqwdHuc0W+U36MnaZ8VrTePVm7ORhOp4kK2n3flAWCFkpSfPsNsDC2JSEgR1CCKFh\nvOzrebCxJZ3jnpszoyKaOMkqjD2UtMAuDABlQtRbsWbKnrFTUqVHsWyaJ0PKYofooKTSIQJA\ntaImfhljUqZ352QM7BBCCA22JxD81IUmAeDPsysWRlOIAABLHaKNkmS1KW5QwxKluQIfxW08\nbkjJrdjecbGDAzseklQYe1gO6Yytc0kAYGXsUq3jiUc37jnXMOPY6fMptrBEwsAOIYTQJY6H\nlLvP1euM/X5m2fpoBnNZ7JQuFsUqRQ0m4xxYY1grt9uiaXUCxOdhPA9OV7zWNG4OBwAQeZge\nxUk53PZ+UAaANZIEfXXH1anU8WRPILix6uxLvh6FsT2BYLKXkzQY2CGEELronBr+SN0Fv2H+\nrLzk2oxxNuxd7ZQMxo4mPGnXretB04xqHxaseWKZWUCiigYTYWgfO+g/Y5eM4RPvB3srJwAg\ng+MKBT5FOp7ojH23teOm2gvtuvHhrAwAOJzsuXZJhIEdQgihXm2admvdhQ5N/05J0V3Z4y8m\nWCmJAHAo4W+ufZUT0QR2wQDRwim4DwswTB87SF7GjgEcCMqFAl/W9/RWivY2TfMNGIyRFI1h\n7fra8//d1lHAc3+fM+OXFaU8IRjYIYQQQvCj9q4LavjBgrzP5+dM5H5WSxIkozB2XCWxXgBI\nxe7EAMxmA44b1MeuQOBpMoon6hS1W9fXDdianycmv35iu9e3qap2f0C+ISN9z/y5G11OkZAF\nov20oqhJ6giTdNEcL0UIITSlveMPiIQ8XJg3wfuZLdqzeC7x8ycarZLYaDJ2NGWb2FlEx6Cq\nWIGQHIGfYLuToGn+urP7XX9QpMROelM8dkoclN6YkX5V+jDHDd/v7WB3sZ1hb/2Eoq6N/iBm\nTBwPKZ8832gn5EdlxffnZvdfvlJynAgpJ0OqVaA93WBghxBCCACgTdNqFHVLmtM+4ZGpBGCl\n5HirJ9Cm6YVRFahOzDi2YlN27ISFORzg7xl0YSHP16hhBjCOU4FWSPezju7uEXJ+2z2+o4vm\nZXLcoMt7KycGhEqVyc7YvRcIMoDvlxZ9YkBUBwArndIfuj2HZRkDO4QQQtPX7kAQADZFMBA2\nEqud0ls9gUOyfP14KzDGYQLdiVM0sAOHRLo6wTBgQKRVbBNOhBS3rufwUbyJy6b5m073Yx1d\nXbqextF/L8y/PzfbQYlimorZ2/jtKbfnh22dj7Z3PVJcMOjm7weCIqXLHGL/JfNEq+NJ0gI7\n6xDnuiF/sSslB0zj+gkM7BBCCAEA7PIHAWBLWmy6fqzsnT8RSmhgp6oiIXnR5Ah754ml5Bk7\nADBFBwcASmhgN5ZCngeANi3SwI4B/LKz+0dtnV267qL0K4V5n8/LzeL7IsUBIeOXC/L+2O19\nvLPrc3k5A1OtPYZZpahrXNLAbG6hIGRwXBIzdoeCsotSa0d4oAWiXSTkSCq1YkkkLJ5ACCEE\nALA7IEuUWgHZxPXOn5ATWj/RMI4mdl4Ps4tMFMe+alJYrewG9Si2CRBxxxMG8KXGlq82tSqm\n+eXCvOOLKr9eVHAxqruUROlXCnJDJvt+W8fAyw8GZbOvg91AlaK9QQ0nZdKDWzfOq+HlkoMb\n0qeGJ2SZ01ETUpI1UTe5MLBDCCEELZpep6rrXZKNxqadWy7Pz7DbjsghM1Fv+m7dCJhmVJUT\nYJqkx5e6+7D9wycu7XjSn7Eb++YA/97U+mSXe75oP7Rw7jeKCrJHCOn6fSI3e6bd9sduT+2A\nVJx1wG7dkCKJeaLdBKhNRtLusCyzvs8PQ62QHCZA4jsppgIM7BBCCMG7fj8AbI7RATvLakny\nG2bCzmBZU2KjGmtLAn4wjFQO7KxWdnRcPYoZwENNrU90ds8V7dvnzCiIrG+zQMhXC/N1xv5r\nQNJu/5DKCUvv/IlkBHbWzLrVQ5KIlhWO6XvMDgM7hBBCvQfsYlU5YbGyKQnrZtcY1iDKXiep\nXjlhVcXC4IxdhD2KH25qfbyze55of2nOjMJopnHclpW5xCFu9/iOyCEAMBkckuVymzD0Tvom\nxiYlYxcCgJUjZOys+okjGNghhBCannYHZBelK6RYtodYK0nQl+xJgIapGNiB6AAAcmmP4kgy\ndl9tav1VZ/dc0f73iHN1/SiBbxYXMIBvtbQDQLWq9hjm0OJT6O94EkpGYBcMFQp8yQg/2hzR\nnsFxhxPeSTEVYGCHEELTXVNYqw+HN6Q5+ZjOS10miU5K9yYsY6eFIdpeJ6ldEgv9GTvlkgLP\nPF4QCGkdOWP37Zb2X3R2z7bb/z5nZlS5un7XpKdtSXO+4w+84w/sCwQBYO1wQX+FzSYSUq0k\nuv70vBru0vWR9mEBgAAsl8T6cLgz4bPXkg4DO4QQmu52xrSDXT+ekDVOqVZR2xIysb5etQK7\naMZOpH7Grndc7CXBMSWQz/MjZez+u63jR+2ds+y2l+bOLJpAd+hvFBUQgG+1tPe1Jh4miqIE\n5oj2c2FNT2xh7Oj7sJaVkgQAR0PTLmmHgR1CCE13u/wBiHXlhGWDSwKA9wKJSNo1hDWR0ui2\nHT1uIAQyM+O2qIliDgkABo2LBYAim9CpG8aQcMpg7Bcd3bk8/+LEojoAWOOUrstIPyKHnvP2\nSJQudgzfEaZStKumWR8OT+SxonUoKAPAqlFPDvS2KZ5+u7EY2CGE0HS3OxBM5+jSEd65J2Kj\nywkAidmNbQyHy2xCdE3sfB5wuhg/ns3KBBGH6WMHAIU8bzDWqRuDLj8WUryGcU26a6TDZ1F5\npLiAJ0Q1zVWSY6Rt+rl2OwDUKIkN7EIh2peTG4mVz5uGbYoxsEMIoWntnBpuCmsbnM6hjV4n\nbpXksFO6xx+I+T0P4jWMHiPKJna6TgKBlN6HBWB2O3AcDNlPHKlH8U5/AAC2xmh8yFzRfld2\nJgCsdY0YQlX2djxJXPykMXYsGJor2tO40WKYEkEoEITDiW2RnQowsEMIoWnNGhG7JT02ocAg\nIqUrHeIZRXUPyS3FVm+vk2jSVKTHC4yZqR3YAQCIDjJkK3akHsU7/UGIXWAHAN8oyv9YduY9\n2SM+S5UOERLbyu6MoiqMrYyggnuF5OjQ9KZwIo54pg4M7BBCaFp71x+E+Byws2xMczKAfXHe\njbXOeEVXEpv6lRMAYA2fGCFj13Jpxk41zX2B4DzRPsHTdQMVCMLPK0pnDpnH2m+2TeAJSWQr\nuwNBGQBWD1fMMcgKhwjTr5sdBnYIITSt7Q4EsnhuUdyGpV7mdALAe4FgnO7fYjWxi6oktjew\nS+FeJ70kiYRVuHTsqRW6tV+asXtfDimMxTBdFwk7peU2oUZRE1YWa1VOrI4gY2cds5tu8ycw\nsEMIoemrRlHbNH2j0xmjCbHDWO+SeELiHtip48jYeWEyZOxMuwiMgTLM8IlBGbu+A3bxSr6O\nZJ7d7jfMSGbXxsThkCJSujCCWp/ewthpdswOAzuEEJq+dgWCALA5nqGAk9KlDvF4SPEb5tjX\nHi/rjF35yDuGQ/V2J075wA4c1vCJYcbFDoqldvqDHCEbnYkO7CodiaufCJhmTUhZJolCBLU+\nOTxfbhOOyCEzoV32kgwDO4QQmr56KyfivHm3weXUGdsfjGPSriEctlFSwEdxtox4PUApS0uP\n36piYthWdpkc56BkYFVswDSPyKGlDjGL5xK8wt7BYgmpnzgcDJkAKx2Rzr5b5ZR6DLMuGdNs\nkwUDO4QQmqYYwJ5AMJfn54v2uD5QArrZNYS1MsEWxYYyY8TrZukZQFP+fXCkVnaCMDBjt8sf\n1BN+wM4yz24DgJqEBHYHZRkAVo06c2Kgvt3YaXTMLuX/oBFCCMVHtaJ2aPomlzNu5+t6XeaS\nKMAef7wydn7D9BlGVE3s6Pk6EgqZpRVxWlIMseG2YgGgSODduq70FVXsDCTngB0AVIoiSWDG\nDgBWjdqaeCArsDsynQaLYWCHEELT1LvWJLH4hwKZHLfAIR4OheJ01qmv10kUgR139CAAGCtW\nx2M9MWaNix2SsSsSBAbQrvcm7d7pCdgoWRdBE5CYS+NogcAnpuPJIVnO5rkZER+mXC45OEKm\n1WAxDOwQQmjqawhr29zeqpAyMLKyKic2xa2D3UAbXc6wyQ7Fpz6xtztx5IGdLHO11Swn1ywt\nj8d6YouJDgAY2srOqp9oDWsA0K5p1Yq6VpKkJO0szxfFDk33xLmg6IymAAAgAElEQVQNdaum\nt2r6KkmKPMfspHSuaD8uh7Qhc3WnKgzsELpEVUjZWl13bDodyEDTwVeaWj5T37S+qrb8+Okb\nzp7/RnPb8x7fnkCwQBDmxfmAnWWDS4K47cbWR9nrhD9+GHTdWL4a4jBFLfYkCQCGDp+wOp60\n6ToAvOsPsiTtw1oSM1jsUJQH7CwrHKLCWFUCZ2MkFwZ2CF3iZZ//mBz6Zac72QtBKGYMxt7z\nBwsE4SNZmfkCvzsQfKyj65MXGt26sckVRfJjIi5zSgTgvfgUxjZYW7ERb89xxw8Dx+mLl8Vj\nMTHXm7EbpnjiYseTdwMxniQWLevjQY0ajuujHAqGIJqSWMt0q5+I2dQRhKaGo6EQALzk9YXK\nih3x69mKUAKdDCkB07wxM/2XFaUA4DWMw8HQETlUpaqfy81JzBoKBGGOaH8/KIdNFk3xakQa\ntSjGTtDGC6Sr01iwGJxJC4OiM2LxhAAAVseTnf5AGkcjGZ8aJ1Zh9fFQIjJ2K6PM2K2UJAA4\nGJTvy0n5noWxgBk7hC5xVA4BQMA0X/H1JHstCMWG1Wfksr6zdJkcd2W668uFeb+pKI12V2si\nNjilkMmOxqE+sSGsCYQURtbEjj9yCACMZativow4YTY7UApDtmL7M3bn1XBDWNvocvHJ21le\nJTlyeP6vbq8St6NsJoMjcmiG3ZYbTbdCAFgqidk897KvRzXj2CI7dWBgh9BF3breGNaKBR4A\n/uL2Jns5CMXG3kAQAC5LRr3kQJe5JJjA0Fji89r+/JTt2T8M/VZDOFxiE7gIwhqihEjVSZaR\nac6cPb5lJAEhIDpGOmPXqmnJmiQ2kEjpx7IzvYbxN48vTg9Royh+w1wVfVZSIOSOrEy3brzk\n88djYakGAzuELjoihwDgzuys+aL9LX+gW0/Q6EOE4mp/MJTL83MSUiQxis1pLhhfm2LGuMPv\n237zGK2roedrieeSI7AB0/ToRkWE+7AnjxFdN5atnBxlE32YwzH0jJ1EaQbHtWr6zkAQAC5P\n3gE7y/252RTg8Y6uON3/QTkEAKvH9fnkvtxsAHiq2xPjNaUkDOwQuuiYrADAMkn8SFamxth2\nL+7GokmvTlXbNO2yRBVJjKJEEMpswt5A0Ihmt454PbZnfi+89iIQYs6aAwC08cLAKzT09jqJ\nqHKCO3oIKJ1E+7C9HBJRVRiyk1hkE1rD2i5/MF+I+/iQMc2w265KTzseUuJRptCmaX/1+ABg\nhUMcx80XiPbVTmmnP3AhzuUdqQADO4Qusk7/LHc4bs/OILgbi6aEvYFLDtgl10aXq8cwT0Z4\nxJ4x7shB2xM/o/XnzFlzwp/+gr71agCgDRcGXqtBVQGgTBg7Y0dbmmhHmzFrburPhx2EOSRg\nDIY0Eynk+YBpdun6Fpcr6YE7AHwqLxsAftcVy64CbZr+UFPr8lM17/gDM+y2FeMtELk3J4sB\n/NE99ZN2WBWL0EVH5VAWz1XYbQRgrUvaH5AbwlpU7ewRSjUpcsDOssEl/cnt2RuUlw14eyZ+\nv/Cn3xNNY3Y72EVmF4koMrtI2ltpYz2zi9r1txhLVwIhzJXG7PbBgV1YA4CKCHqdcEcPAYA5\nKaZNXIrZRQAgiswuHaVl1U9Asg/Y9bsmzVVmE/7q9n6npDCT4yZ4b22a/mhH5++7PIppFgn8\ngwV59+Vk2cfbgfnWrIyHm1qf7vY8VJgfeZWJapo6gDP1BwoPgIEdQr26dL0xrF2e1vvB9/bM\njP0B+a8e75cK8pK8MoQmYG9QdlG6ZFwbWDG3wSkBwJ5A8HN5fW1WDMP2/J9IZwdIEgT85NKD\nrebsedp1N19MsFHKSitoXQ3p8bH0DOsyK7Abszsx0cL09HHmSjNmz4vlj5QQ1rjYocMnivry\nlFtSI7DjCPlETvZ/trY/4/b+c974O+nIpvnt1vaLIV1xwX05WeLEoisXpbdmZTzV7Xmzx39t\nxvAp231B+TmPr13TOjS92zDaNd1nGJ/Jy/nv0qKJPHSCYWCHUC+r0Ul/nv+WrIyHm9u2uTGw\nQ5NYm6adU8NXpCWzEcZAc0R7gSDsDcgMwFqQ8OarpKnBWLBYu+UOIAQMA1SFqApRVWaYrKR0\n0D2Y5RW0roY0XGB97YUbw2GIYJ4YPX2ChMP6mstgUmVfevW2spMHHU60MnYz7LaKiKduxNvH\nc7J+0N7xuy73A3k54/6b+/fGlqfd3uK+kG7cWbpB7s3Jeqrb87/dnmEDuxZNv7Ou3mf0TkVL\n42ihICwQ7anz3EYIAzuEeh2VFQBY3hfY5fL8lemu133+kyFlcWpkOxCK1r6gDADrU2Mf1rLB\nJVnTzDa5nPTkMe7QfpaTq193S2+ZKseB5GSSc6TyCqNsBg/ANV4w+wK7hrDGE1IkjPF2xh89\nCIQYS1fE8GdJGOaQAIbJ2BULAgBsTY0DlJZ8gb8pI+OvHu87/sAV4yrUfcXnf9rtXeQQ36qc\nLcb0A8kap7RAtP+jJ9CmaYWXHspkAJ+vb/IZxteLCu7OyczhuAkmCJNosq4boZizMnbLpYsx\n3EcyMwDgLx4soUCTlRXYbUiNfTrLZ/NyCMDXmtugvV145QUm2MK33s3skVZ0sqISxgsDj9k1\nhLVigR89JUk720lzkzljFstK0KSNGBMdAECHdDzZ5HLenZ356QlsesbDREooOjX9Xxub7ZT+\nuqI0tlGd5d7cbJ2xZ4cUxv2ms/ttf+DyNNeXC/NKBGHyRnWAgR2aHOQgPVfL790lbN9m/9VP\nhOf/HI8HOSKHsnhu4EmdGzIznJRuc3vNeLVSRyi+9viDAiGrpRTK2K13Sh/Oyjgmh57d9Q4x\ndP3GW1lefhS35zhWWkbc3RDwA4Bsmt26PuZmGXdgH0yqaROD9GbshgR2WTz3y4rSVNtSuMwp\nLRTtr/r8LVrUrUC/3NTSqelfK8pfFJ8f6s6sTDulf+j2DHxRP6+Gv9XSns7Rn5WXpMSRhYnB\nwA6lLtLdJfztGftj/y0++n3bn/7Av/0P7vQJ4u7izpykTQ2xfawuXW/WtBWSY+D/agcl12em\nt2r63vhMLkcorvyGeVpRV0iOVJt6/J3iQomZ3yyb7V6/2Zi/KNqbm2UzgDGusR4uVk6MdsCO\nNDdyxw6x7FyjcuG415xkI4yLTVn352brjP2hO7qk3VPdnr97e9a7nJ+PWw4ym+euz0i7oIb3\n9E1A0Rn7dH1T0DT/p7S4dEr0QMDADqUoWn/e9odfc9VniGGYM+fo6zdrt9yhfvaL4bvuAwBu\n767YPpw1c2K5Y3CHpNuzMgBgW1Ia2hkGd+QgyNG36UcIAAD2B4MGYyl1wM5Svn/3g3VnOm3i\nD+YtHsfNzYoZ0NfNrl61KidGztgZhvDKCwCgfegmmHADjmQZ6Yxdyro7JyuNo3/o8mgRN6Ou\nD4e/2twqUfqL8pJIpsON28dzsmDAFIoftnUeDMrXZ6TfmZ0ZvwdNJAzsUCrijh2y/ekPJKxq\nH7pZefDh8N336Vd+wFi4hOXkmbPmmIXFXG016eqM4SNaB+yWDWl9eUWaK0/gX/AOMz26IazF\ndYuW37VDePUF4dXtcXwMFGe1ivpAfdMbPcmZUGkdsEuR1sT9aN1ZfvfbX+poLuK5X3V5zkc/\nCcAsLgWeJw0XoK8ktnzkJnb8/j20s91YstysmDmBVSeb2FsVm+x1RMpJ6R1ZmW2a9kpk41lN\nBp+70OQ3zB+UFs2KoCXhRGx1uSpsthe8PV7DOCaH/l97Z4Eg/LS8OK4PmkgY2KEUwxi/4x/C\ny9uZIITvvNcYrpWosX4TMMbv3x3Dh+0riR18qoMn5MOZGV7DeNMfsC45HlK+3dK+8nTN0lPV\n/9naHsM1DESaGvh9uwGAqz5Dz9XG6VFQXL3tD1xdc+5Zt/f2uvqba8+fiHDcQuy8FwgSgHUp\nlbELBmwvPQeUCrfc/khJkWqaX29ui/pOeMEsKqFdHRCSR9+KJZ5ubvfbIDm1q66d4MKTi9nt\nQClMnsAOAO7PzQaAJzq7I7nyzzq79gbla9PTrHRaXFEC9+RkKqb5VLfns/VNGmM/KS/O4adO\nkxAM7FAKIZomPPcsv28Xy8wK3/sZc+bsYa9mzF/EMrO4U8dJIGaJkKNyKJvnhj2C/ZGsDAD4\nTaf7Wy3tK07XbKmq/VF7Z4umS5T+prO7v+lRDBFNs734HDCmX/kBIER442WIw6OguHq8s/v2\nunqZmd8oKtiS5tzpD26tqn2gvqlZ0xKzANU0D8tKpWjP5lNm/5Ex20vPQzCgb72KlZTdkZ25\nxim97Ot51x/1GVazvPeYXd+g2OECO8aE114kuh6++lpwpFJ0Ow6EgCiSIcUTqWyRQ7zMKe0K\nBHf0BEa/5qmQ8l+tHbk8/9PyksSs7Z6cbI6QR1raqxT14zlZ16anJeZxEwMDO5QyAn7hj7/l\nqs+w0nL1vs+w3JHbAlOqr90Aus4d2BuTR+7U9GZNWz7CCMI1Tmmm3faOP/Dj9s7WsHZDRvoT\nM0prl8x/sCA3YJq/jelURAv/5qvE062vuUxfv9lYtpJ0d/EH3ov5o6A40Rj7t8aW/9PUmsFx\n22fP/HJh3t/nzPzzrIp5DvFZt3fVqZr/bG33G4N39mPuiBxSTHNDKu3Dcgf30boas6xCX7sR\nAAjA90oKCcDDza1GxCexLGbZDABoa2x8NxCQKC0ZblAsd/IYPV9nVsw0Fy2LxfKTjDmkSXTG\nzvKdkiKOkC83tSgj/341xh6ob1JN89Hy4vyxmhHGSpHAX5OeZjBWYbN9b1JNlYgEBnYoJRCP\n2/77x2lrs7F4mfrRT4JzjLaW5vJVIEnc4QNEVSf+6EdDw1dO9K4N4FvFhbdmZfx2Rlnd0gV/\nnFX+kaxMF6Wfzs2RKH28060MOX43EbSuhjt6kOXmGZdfAwDa5dcw0cHteof4k3NOC0XFrRu3\n1l54ssu9QLTvqJy1wdWbKPpgRtruytmPlhVn8PwP2zpvrj0f75XsTbHWxLSzQ3j7DeZwaLfc\n0T/7YbVTuiM781RI+UN3dKPZWVk54/l/5h1u3fhaUcEwTexkWXjrVcYL2vUfhtSYujFRDomo\nCsT01SbeVjkdn8rNPq+G/6etY6Tr/LC983hIuSM784YRxnzFyb/k55TZhMcrSlyTuWXdsKba\nz4MmI+Jx257+Henx6Zuu0G68DSI468B4QV+1nqgKd/TgxBfQ15p4+MAOAG7KTP/djLLbsjIG\njoLO4rl7c7LaNe1PMayZDcnCy9uBUu2mjzDreZCc+tariBbmd7wWs0dB8XEqpFxVU7crELw2\nI/2NytmDdvZ5Qj6Rm3144dxNLudhORTvI3e9rYlTJGOna/z2baBr+ocGDH4FAIBHigslSr/b\n2hHVqQYm2H65aMUb6VlbnI4HhmuNIbz5KsiysfkKlhn3M1uJwUQHMAZqok9qTtA3igqKBP6x\njq4qZZgP4cfk0A/bOgsF/gcliU6bbXI5TyyqXJ8i/0FiCgM7lGTE57U98yTp8embr9S3XBn5\nZ2t99TomCNz7eyZ+/mzQMLHIfT4/VyDkZ53dsSqPFV5/iQT8+satZuHFEi1jxRqzoJA7dZzW\nxz3Ng6LSENZe8vX8V2vHnefq55+s2lhVe14NfzE/95mZ5SOlAZyU3puTBQAveH3xW5jJYF9A\nLrUJKdKXi3/7DdrZbixbNbRrXZHAP1iQ26Xr/9U6YlJnqGpF/VrRzCwt/Dgxhjbpow3nuVPH\nzLwCfe2GCa48hUy2VnaWNI7+oLQ4bLIHG1sGvU6qpvmAVbtQVpKVOidBJz8M7FAyEY/b9tQT\nxOfVt1ypb74iuhs7JHPpSuL3c6eOT3AZR+VQDs+P3uN0WGU24dasjFpFfcnXM8E1AAB36jh3\n+oRZXKpv2HrJNyjVP3gjEML/4+XJtREzhf2qs3vmiTNLT1Xfc67hf9o6Xvf5GZBr0tN+N6Ps\n2yWFo/cD/lBGukjpdm8M/mZGckZRfIaRIuk6WneWP7iPZefoH7hu2Ct8sSBvlt32RGf37kBE\nVRRhk32mvilEyE9OHSprujDou8TvF156HgD062+ZvI3rhjJFBwBMrsJYy02Z6demp+0LBP/3\n0n7FP2jrPK2oH8vO/GDGlKpdSDoM7FDs6Drp8UVet3VxB3bzlfqmKKM66wHXbgBKuX27IcqT\n1wN1aHqzpi0b0ugkQl/MzyUAP+mIoqleh6b/oLWj59Lj88Tv519/ifGCduNtMCTZY5aWm4uX\n0c52/tD+8a0zAWh7m+2ZJ2M+FCQFVSvqN1vaDMZuyEj/alH+n2dVVC2eX7248i+zK27Nyhjz\n5mkcvTLNWauoJ+O2G/teIAgpcsBODtpefh4o1W6+nQnD9ycTCflFRSkAfL6+ORjBR5fvt3Uc\nk0N3ZKTd0d7EDRgaCwC0pcn+5C+J16Ov22QWl8biB0gZ4qTM2Fn+X1mxk9JHWto7+oaMHQqG\nftrRVSII3yudOg3kUsTUadyCEoyoKrdvF3F3k4CfyDIE/URRAAAoZcWlxux55pxKs6BwxJsP\njOqizdX1YVnZRuVC7sxJWldjzqkc350cHWHmRIQWOcSr09Pe6PHvDgQ3RZYgeai59TmPz+ju\n+mbQQzxu4nETTzfp8YFpatdcz3Jyh71V+IoP2GvOcO/u0BcuGbO4JPG4s1X89r8QLcyravgT\nn50ix9WHwwC+1NgSNtmvZ5bekjl2GDesWzIzXvH5t3t9cZrymSoH7ExTeOl5CPj1rVebRaN1\nsljvlB7Iz/l5R/c3mtt+VDbaO/3eoPyTjq5Sm/A/FaVmfiFtayGaxgQBALhTx/mXnwfD0C+/\nRr9sc4x/lmRj1muUMvkydgBQahO+WlTwtebWrza3PTGjVDHNf25oMhj7aXlJOocJphjDwA6N\ni64Jf3maNvQe+WI2G6Slm7n5zJVG/T2kuZFvaoCdb7K0dHNOpTlnHktLB1W1thGJEgLT5N/+\nxwSjOouxfhN35iS/d1d4vIGdNUxspXOcgR0A/GtB7hs9/p+0d40Z2JHurgNVZ56XMgHIE7Ly\n0NtvSqYOACBJrKjYKJ9prF434o1dacbmK/k3XxXe/od2w63jXm088Pv38DteB4438wpoa/NE\n4uzU94zbuycQvDo9bdxRHQBcl5kuNpDt3p6vFxXEcG399gaCWTw3z26Px51Hgri7uWOH+RNH\nIOA3yyoiCbO+WVTwVk/gyS73dRlpV4/QV8xvmJ+90MgY+2VFaQbHmWUVtK2FNDWwGbP4XTv4\nPTsZL2i33WHMWxDrHygFOCSYtBk7APhcXvY2j/evHu/tWRm7A8FqRf1kbvZV6Sn3GXUKwMBu\n8qEd7UzTWHFJ0pIipils/wttOG/Ona994HpwutigOlY5yNWdpbXV9Hwtd+QAd+TAsHcz8agO\nAMyiErNiJq0/T5qbWMl4dl6OhUIAsGy8GTsA2ORyrnI63uzxnwopi4ZNwAQD3OkT3MljrK3l\nyxs+AAy2qoGdouvpG267LzebZWYzMaK0jb5qHXfsEHfiqFlSZqxYM+4Fx5JhCK+/yB09BE6X\n+pGPEo6zPfkrftfb446zU1y3rn+zuc1ByQ/LJlTE56L0ynTXKz7/yZAS86RdfTjcoukfykgb\n/ahfPBBdJ2dO8scO0cZ6YIzZ7eaKNdqWK4eeLhjKTulj5SXXnj3/YGPL3vlz04YkcnoM8zP1\nTQ1h7Yv5uZtdTgBg5TPhwF5aV8Mdfp+rPs3SM7Q77jHzR9womNSsjF3vxsgkxBHy47Lia2rO\n/WtjS6eul9uE/yyZmr+ppMPALu6IrpOG8+aM2ZG8tI2JO35YePXvYBjMlWbOW2DMW2BWzEzo\nAWHGhFdf4GrOmKXl2ofvHBzSWSSnsWS5sWQ5mCZtrKf150FVepuY2OzW88By84y582OyIv2y\nzbb687YXtoU/dj/LiHqKs1U5MXzn+oj9a37evecbftrR9XjFpcGlLAuvbufOVoNpAiFPLFt7\nLD3ztnTXI2XzV5yu+Tlnu6ewOIo3X47TbrpdeOZ3Vj99fc1lE1nzxJFQSHjuWVp/3swr0O64\nh2VkMgBjTiV3torW1phz5iV3efHwzea2bl3/v8UFww4piUr8dmN/3dkNydiH5Q7s5XftsCIP\nVlahL1tlLljMhmsdPJI1TukL+bmPtnd+tbn1sUuHEOwNyp+50NgY1ta7nF8ryrcuNMoqBEL4\n998DAFZart52dwqeUogZK2M3ObdiLSslxz/lZj/e2U0AflZeOvUayKUIDOziiztzkt/xOvF5\nzbIK7ZY7WdoEan8Y4999i9+zk4miWbmQnjvLHX6fO/w+E0VzdqU5f5Exb34Ccnj82//gjh02\n8wu1Oz4+fFQ3EKVmxcx4z942Z83VN2zh33vX9tQT4Y9+gmUPf0ZtWB2a3qLpE98OuCEjfY5o\nf87j+3pRQX+MSLs6hG1/JF6PmVdgLl3hnr/4kYZWh2l8u7ykRBBuyEjf7vW93RO4MppHNwsK\ntY99yvbs7/k3XoFwWN+4dezbxJxhkB4vcbuFN14h7i5zzjztljtZX6BjbL6Cq63md78dnnKB\n3XsB+Rm3d4Fo/5f8KP7GBmOMq6thvPChshlWbWxsd2P/5vH9oqN7ht12b/xnbg7EnTouvPkq\nE0V93UZj+SqWM/LkmFE9XJj3mq/nj92emzLTr0lPAwCNsR+0dfy4vYsx9q8FuV8rLLD1pyIl\nyczNo50dxuLl2nU3R9ICc/JiVlWsPFm3Yi1fLyrYH5SvTndtSUv2AdCpayr/N0gu2t7Gv/Ey\nbbgAHGcWFtPGevtvfx6+6TZz1tzx3J2uCS89z50+wTIytTs/bubmg2HQhvNc9Rl69gx36hh3\n6hhduVb74A1xje34fbv5fbtZVnb4rnshst3DxNAvvwZ4nn93h/2Pvwt/9BNmbn6ENzwyVmvi\nCFEC/5KX82Bjy887ur5fWgQAtK5G2L6NqKp+2Rb98quBkO82tXbp+sOF+db4owfycrZ7fb/o\n7I4qsAMAM79Aved+2zNP8jvfBF3Tt149wcWPiXR1cmdOUK8HPG7i85KAv78MWV9zmX7VtQOz\n0WZhsTF7HldbTetqzNlTJ7YLm+xLTS0A8OPyEmF8/8sY46pPc7vfph3tQEjWFR+4Ir/sVd/I\nO/jROxVSvtDQ7KD06ZnlGQlM5JOmBuHl7YwXtI/dP8GdUDulv6wovabm3BcbmvctmNutG5+u\nbzwUDBUL/OMzyjYPSUNqH7qZ+jzGlBgaNoberdhJnLEDgDSOvlM5/BBwFCvcQw89lOw1TDly\nUHjzVeG1F4nXY86aG/7IR40NW0AUaW01d/IYmIZZPiO68EuW7dv+SOtqzOLS8Mc+2dtInVKW\nlW3OqTTWbjBmz6MtjVxdDZGD5ux5Ud25LMuapqWnp9OxsuLcscPCGy+DKy38sfsh+h3PeDPL\nZ4LNTmvOcGdOmDNmM1dEydHvtXWcUdT/KMyfaZ/oztp80f6U23sgKF+fmV545IDw0vMEQLv+\nw8a6jUBItaJ+oaG5xCb8dma5Nf6o1Ca86Q/sCQQ/nJWRG22mQXKalQu5mjPc2WpQVXPmnEG/\ndFVVVVV1Op1CNBthgzFG684K/3hJeOs1Wn+edLSRHh+x2Vh+gVlWYc6tNNZvMtZcNszfW3YO\nd+wQ9XQby1eP/9FTzI/bu57z+O7Nyfr0cHMOxsAYd+aksH0bf2g/kWWjciFVFFp92kjP/Lvo\nzOH5CLMXjLGenh5BEJzOYa7v0Y2b6i506frjFaVb0xK3I0m8HvuzfwAtrN92lzXCdYKKBEFj\n8HqPf29Q/kFrR31Yuzkz/S+zZ1SKw9WCpGewyX+ozu/3A0B6+qgztTief28nyEEiy8BRlpYe\nk+M9KH5i8zocPczYjZ9immfVcKXdfnFfwDT5Q/u5XTuIorDsHO2qa82+Y2T62g1Gcalt+zZ+\nz07aWK/dckeEkQdxd9n+/Efi6TYqF+o3fwT4IX8fhLCS0vBHP2l/5knu8PtAiPaB62Oet+Nq\nzgivvsDsdu2ue1lWdmzvPFb0dRsZzwv/eFl45snwnfeykrLRr98Y1l7w9lSK9stj8S4oUvqV\ngtx/b2q94nTN/1RV/5NDUm+9i5VVWN99uLlVY+w/SwrFAb+aB/JyPhWUf9XZ/eNR+zsMi2Vm\nhT/+T7ZnnuTff4/oemyTtUQL0+NH+AP7iLsLAFhJqbZqHSsqYRmZw/wFDmEWlZiz59Haalp3\n1pw9rhR18hB3N204T/x+Igehx0dDMvT4zjPyww3X5PL8t4qjjCEYo6eOC3t2ku5OIMRYtNTY\nuNXMzdd9XuHPT934/i7x6g9v93j7D42Nm8HYp+obL6jhL+bnRtJLL1aIqgjb/gjBgH71h4zY\nVcz8e0Heq76e/QHZSenPK0o/lp1ynySTgBBj2SruxFF+/x7Yv4fZ7ebMOeacecbseVP5ZCGK\nHvF6Yzfmcjo5o6j3n284o6gSpRtdzq1pzstVefkbr/BtzcwuGpsu11evH6amISTbXnqenq0C\np0vbejVQCqpKwiqEVaKqEFZ7p2MN2OWkVadIKKSv26hf+cEx3rmDAfszT5LODmPVushju66u\nLlmWS0pKuJE3bmjDBduf/pcB0z76SbO0PJK7TSLu+GHhlRcYz2t3fNwsnzHKNb/W3Przju5H\ny4o/kTuxUJUxkINUDkJPz/bTp79QWObjbTc5HT+dPSOT4wDgVZ//7nP1m1zOl+ZectxQY2z5\nqRq3oZ9aND97fBN1An7bM7+nXR1m+Qxt69X9caTP5/P5fHl5eY4oq32Ju5s7/D537DBRFeA4\no3KhvmbDOMqNaWuz7clfsZIy9b7PRHvbJOKOHeZff5Ho+sWLCAHJeePSdW9k5v72+P67szK1\nLVdGOH6UKCH+73/jaquBUnPhUm3jloEnz4iqCH979o6c4pfyS94rK1qYO3Yi0DTNpqYmh8OR\nlzf4BNsjLe2Ptndekeb66+wKLmH18qZp2/YUPVdrrFyrXYwizp0AACAASURBVHtjbO+7RlF/\n0dn9xfzcWRPOpqe+5uZmACgpGa3Vn4XoGjlfZ7UdID0+AABCzMJic26lOXfBKK1DUeKN+3V4\ngjCwG4/fdbm/2tSqMHZluuuCGj6nhq3Lc8PqVl29cuas6/LzRpx8xxi/fzf/zpuRzoaiVPvA\n9cbKtSN9X2FsfyBYp4Y/mp0phmT7078jXZ3G6vXaNddFEtuNGdjRthbh6d8RXQ/fdvdkaU7G\nnTouvPg3oJx29bUjPXV+w1x4qspO6MnFlWKUb4REC5Pq01xNFfF6SMBP5ODA3+a5BUvuW7Dy\nQEgptQlPVJSukByXVdXWh7WdlbOH1j8+2t75SEv7N4sLvlQwzsPmIMu2F7bR83UAYM6eq2+5\nyiwqifoFxTS52mru8Pv0fB0wBpKkr1hjrFw3kXIf27anaG1N+K57x3muNLGIrvOvvcgdP8zs\ndmPzlWZWNqSlM1cak5w/6XT/35a2rTx5Ze8OrqsDOM5YsUbbuHX0NAltbxX+9izxeszyGdp1\nt7Ds4eI2w/jbznc+lVXwUGPtV9evH/N02kiB3fMe3/0XGstttrcrZ4/zE8K4CK+9yB1+35w5\nJ3znx3FbcCIiD+wGop3ttLaanq2mLU3WSxBLzzDnzjfmVLKsLOJxU3c3cXcTj5u4u0iPz5i/\nSL/+w1HVKaOJwMBucvDoxhcaml/y9WRw3E/Ki2/JzOCqz7TsfOsdUXqrqPydvMIOBgAgELI1\nzXVLZvr1GenDRni0tZnWn2N2B9jtzGYDmx1stt6ip37MJKrKXGlDN21V0zwkK+/6A7sCwYNy\nSDVNANia5nx2VoUkB+3PPEm6Oo0167Wrx47tRg/siLvb/tQTIAfDN95qLl4exTOVbLS2Wvj7\nX4miGIuW6h+6mQ1pTvHzju6vNbc+VJT/UGHEu2CGwZ07S08dpzVVRNcAAChlkpO50iAtnUlO\nlpbOsrKNRUt1Qr7b2vFoeycl5DKntCsQvD83e9h++l7DWHiyOoOjxxdVjvNIvvXz1p8Tdr5F\nmhqAEGNOpW/Vui7eFtELSsDPHz3IHTlI/D0AwErK9JVrjQWLItlyHWNJLU223z/OSsvVez89\nwbuKN+LuFp57lna0m/mF2q13DQzCXvP1fPRcQ74g7KicXcxR7tRx/t23iM/LBMFYfZmxbOWw\nERt37JDw+stg6Pq6jfrl14wS9PQY5tzjpyuC/mP73tRuuXP0HjFDAzudsb96vF9qbGXA3pg3\nzCeH+OEP7OXfeIXl5Yc//ukIGzGikYwvsLtIlrm6Gnq2ip47S8Lhod9nDgfwAvH3mAVF2u0f\nY+mJ26yfzjCwSy1dut4U1tI5zkVpOs9ZGZ33AvKnLzQ2a9o6l/RERVm538fveJ07WwUcp6/d\naGy+3OSF0yHlZV/Pdo/vtKICgEDIljTn9RnpQz9GaybrNowuXW/T9C5Nt/495sRTgRAHIWdV\nNWQyACAAlaJ9a5rrrKru6Amsdzm3zapIDwXtTz9JujuNVeu0a64b/ZP0KIEd8ftt//tr4vNq\n11xnJLtl2jgQr0d4/s+0tZnl5GofvsvMv9hUQmdsxemaTt04sXBenjD2SVPaWM+dOEKrTluT\ncFlGprF4mblgiZmXP0rovNMf+Gx9c5umZXLcoYVzc0aokPhKU+sTnd2/rii9Y8IHiWhdDf/u\nDtraDIT4y2bA+k3CyIEC7erg39tFz5wAw2CCYC5aaqxcaxbGcm6j7c9P0bqa8F33mbPmxPBu\nY4urOsW//DxRVWPpSv3aGwc28alS1Kur63SAF+fMWNM/d1XX+SMH+D07QQ4CACst1xctNRcu\n7e0fezHzJ+o33hrJCIS7z9W/6vMf2Pvmkh6PfuUH9bUbrMs9utGp63NFe/9f2MDALmyyZz3e\nH7d3XlDDAiG/qii9LTFH6wyDnq/lzpzkTh0H0aF+4rMRbkyjUUw0sOtnGLT+PFdXDaEQy8w2\ns7NZVi5k5zCHA3RNeOXv3Mmj4HSpt93NJnCohoRC9NQxZhfNJZPp037iYWCXWv7k9nyuvrn/\nS54QF6V+0wSAL+XnPqz4xQN76bmzwBgrLdc+dJOZN7gTVY2ibvf6+iO8MRGA/vYETkqFAT3j\n/YZpXDrkPk/gN7mcm13OzS6nFZeETfap+sYXvT0rJMdzs2dkKbL96d+R7i6zfGb4ltth5EKN\nkQI7EgoJTz1Buzr0TVfoW66M5EdIRbou7HidO7iP8bz+wRuMZausi//m8X3qQuO9OVk/LR/1\nlVSW+ZNHuSMHSXcnAIDTZSxYrC9cwkrKIj3CqOvfa+24Mt11fcaI9W5nFXXdmbPLJMfbMekC\nwBhXWw07/iF0dwIAy8kzlq/SlywH6WIdJW1p4t57lztbBYyx7Fx91VpzyYp4JF1IcxN96jfN\nM+YUfuTuVOwxJsvCnne4g/sYx+nX3mgsXTnwm926flXNuQtq+PGK0juHxNxE0+jp49yJo9aI\nBeA4Y/Y8o3Ih//4e2t5m5hdqt93FsiKqn7Vebf7DYfv2689DMGAsW9l69XU/6/b+prM7aJp5\nAr/Z5dzicm5Oc84UhKamJiKKLwP3047OFk23UXJnVua/FeTF/SBaXzxHz1b1tiB2pYVvvWsi\n8QHqF7PAbiz8vt38O28Apdq1NxlLV0R3Y8ZoYz139CBXdRp0DQCMufO1Gz5sdU5GQ2Fgl1oO\nBOVtHp/fMPyGGTANn2H2GIaLkB8oPZcffI90dgCAWVRirN1gLFwy+nv8WUXdG5R9hjEoOBMp\nzeG4fIHPE4Qcjuby/ASPPOuM/XND8za3d5FDfH72jAJdE178G62tBlda+JY7Rioj6G5r0zo7\n8svKOMnZv19JNM32zJOkuTEeZ6ITjztzkn9lO1FVc8ly7YM3Mpvtyuq6I3Jo7/w584fdumKM\nNpznjhzkas6ArgPHGXMqjeWrzJlz4nSQ6M5z9a/7/K/Nm7XeGZuXSJ/Xq1efzms4bzt3FgwD\nOM6Yt8BYvhoI4d/bSS+cAwCzoMjYsMWYvyh+vQ+Ph5QHjp04bRNv6277hmSvWLZilM8YFxdv\nGG7d8BiGRzfyBX5JzLcXTZOeO8sdP8KdrQLDYNk52q13DTrfpjF2S+2FPYHggwV5jxSP1kCY\n+LzcyWPcyWO90T+AsWS5/qGbx27f3afHMOeerKqwCQeK8zzPb3s0Pec3FXODlOYJ/HqntC8o\nd2q9xRwlgrCEwkHd6DJMkdJ7c7K+mJ9bOrGhKaMjXg+tP0/rz9Ha6t5hVq40o3KhsWCxWVaR\ntKmGU07CAjuwjqm88BeiqvraDVZNHvF5aUcb6WgjnR20q4MBYZlZLCubZWSxrCyWmQ02G3f6\nBHf0UG+ZfGaWsXQFPV9HG+tZWpp20+3x7kIfD0QJ0bPVpMdndZAhgR6Qg1SWGc+bc+cblQvN\nsooJvuBjYJdauOoz/FuvAgATbP3FrcTnIaEQUGpULtRXr++vQEwdJoMHG5v/t9szV7S/MGdm\nMc/x773L79oBAPrWq/X1mwa+EJPmRv74EXL6OFX7coqUMrsd7CIwRnxeY+ES7ebbp8ZrN/F0\nC8/9mba3Ai/smr/omrLKDzjs2+ZfcqifKAptvEAvnKO11cTjBgCWlWMsX6kviSgcmYid/sDN\ntReuy0h7elZFTJ7uiy8opsGfOMIdPUTc3f3fNcsq9A1bzFlz4/fL1Rj7YVvnD9s7NcbKTL2R\n8oJpfrL5/MM8y7l0w5cB7A8En/P2vOMPdOuGR9cHVhURgNuzMx8pLiyOYMd8TKS7kzt+hD9x\n1AwEdubk/WH2gjeyC1anuz6Zl3NNetrAT1YPNrb8vst9bXraM7MqIpy4SluaaNUplldgRL8/\ndVdd/Ws9/ruys17weEOMFajKl1ob7tu4UcwvYABVirqzJ/BuILAnIPsMQyLkU3k5/5KfUzCx\nU/AkFKJN9aDrzC6CIIAgMLsdeBtoYdp4gWu4QOrP99ZdAsZz8ZXIwO7/t3fn8VHU9//A35+Z\n2SO7m819J4SokACmokA8wIq2VLRBC1QQwZZH1RYIYBA8Sgv8sGpbLAJCcxgsCB6FgiiCUH1U\nKv2qpQokIHKKSQgh5Nxk753r98cAxiSEJIRsHF7PRx48JpnPzrzZSXZfO5/5fIaIWE21cdOb\nrKFODY8gt5uJ316WpxoMTCXthFxL5z4fDlH6XkuMkaIIn/xb+ORjUlXp1tul2+/qws0tmRjg\njh3mvvqSP31K7pch3TK8y/cs6cROvV7+88/4zz9j/u/ceFcVDGS1ks/LtPdEi0XuN0BOH6D0\nvbZrHQ4Idr0Lf+iA8M9t334vSUwSyWqTMgfLQ2/pzVeeqkS/PX2moLou1WjcdG1qP7OJK/vG\n+M5GcrvkfhnSmHEkSfyXxfyB/ay2hoiUEIsrPsliMnJ+H/l8zO9jfj/5vHLadeL4ST16F9or\nTRKFz/7Df/XlxNT0rXFJO/63a6QiK9f1UxJT2Nkqruwkd/bMucGtgkHunyEPHqqkpvXMe5hK\nNOLIiUNe3xBryMKEuMufXbblC4qqcqdK+eK9FAjINw9XLvsziUdRPIpiYKzN2xsc9vmnl1UU\ne7zxBsOKlMRR9tBNNbXPV1SWMc4qy7NKj+b63LZ+/feZLZt502aFKmSFiEI4lmAwRAh8BC9E\nCHwkz4fx/PbGpkNen4XjcuOiZ8fFdHb88jmSxB05ZNj/OTtVVhZiXZd67et9rivjDURk57km\nWSGiZKPhF1ERv4iKjDcIhTV1T1ecGWA2fZh+bc/czvLCtR/xBiE3NvqRr/aHfrpbNZmkkaPI\nYiXtVJkkyqL4mdubGhKSfO21anSMarhI96uikNdD5pA2/35ZfR1//Ah3/ChXUdb+2HzVbFaS\nU9W+1yh9+ipxCchzV04PBzvSLrZ5ZwNX9o0aEanExKmxcWpMvBIbp10xyVwu5qhnjgbmaOAc\n9eR2KWnXSdff0HokODtVZty6iTU61KTkwP0T1PAIkiTWUM811LH6WlZfxyRZiYhUI6PUyCg1\nMlo1mYiISRJ34iin9exLEhGpBiMTA9rYL/nW26/UvFpej/C/T/kv/sv8fgqxSENvUeMTlBAL\nWW1kCz03XliSuNKv+aNf8cePkMdDRMo1/QIP/qILe0Owg+60uPLssrPnOoasHGfhmM3rCfN6\nLKp6T/XpyRXfJIoB+br+yg1DqsMi3V5v+/PY6cnXfv+wr44PImXP8QOs9CS78MGU49SEJDk1\nTUm9Rk1J7Xg/Wnc56Q8sOF21vbGJiO4ItS5MiB9i7fprQfe+oGx1NOXV1NVKkkeWPYrq0GZb\nJGJE/c2mYVbLzVbLMKulv8mkkrqyuvaPVTV+RXkgMnxJUsKFUeEBRf1bbd1fKqtqVYoKBCLE\nwAmrjYhsspRdffqByvJRddVCbJySkqr26Ssn99EuCpRV9bW6hufPVNdJUrLR8Gxi/NiIsI7n\nC9bo4Pd9LhzYp7jdbyekrO43cLc1TCEyM3Z/RNhDkeG322z7Pd6/1da97Wj0KqrA2J2htl1O\nVxjPf5R+TWqrwdRXiEdRnjxVeaMlZEpUhJnjiIg/WGzY8S41n1Gv5f+NqWHhSkycGhOrRkQx\nt4s5GlhjA3M4WJODZJkYI6tN0YbVh4WrVhsFAvzxI+e6jBlT4hKUfulkMJIkkigyv19bIMbU\nxGSlT18lNh6TmPSMng9250ji5Y9/Zz6fsONd/vCXqtFIFitramzvA4PVpkZEUnWVNnpXDY+Q\nB2YqAzOV6Fj+8Jf8nk+4qkrSxiRl3abExKomM5nNHSySiSI7U8GdKmcN9arZfG6yAouFbHbV\nIPAH9vNf/JcFAmSxSFnD5aG3tJ4t4TsUhTtVyh89rCQkdeE0PCHYQbcrrKnb0ejUzqy4FMUp\nKz5JdBMjIp7oTqtlUkzUT8NCXfX1l5yg+MoRVbUiIJYHAuUBsUIU/cq3lyGaOWZmjGfsRktI\nlsVi7GB/2KVoQ1ALUpMfjAwnSeTKS7nTFUp8gtonTfsoGVyfuz3PVp79j8vNiLLD7b+Lj237\nKsBL6a4XlHpJfrKicnNDI89YKMeF8pyV50MYC+N5K8fVS9J+j9d3/uLRMJ6PFoSv/f5oQXgp\nJfG+8DbGi7gUZWV17aqqGllVR5H8QMB7j7vR4vWQ18uaGrnqqnNvCYypUdFKSqoSn6TabI02\n+ws+aXWjU1TVW62WRUnx316MqKrM7yNRIklkfh9JEoki8/tIFPkjh7gTR0lVP0jss2DQkBLB\nSETDrJaHIsPHR4Tb+e9ElkZZ/nu9Y01t/RGf38ixd65Nu80W5EvCuapK7puvVYOBeIEYI5NJ\nVdVahyNEDNi9HlZzltVUa8O0m1PNIWpYONnDmNdDTY3M7aLzQZyISDAoqX3lfhlKvww1tN0b\nWEEPClqw6z58yV7hw/cZL6iRUUpElBoVfe4UnSCwhrpzM+rV1bKGOtbUqNrD5IxBysBMJbHl\n5OfcN18Le/6PO3niOz8VDGQ2q2YzhVjOfVYJtSs2G9nDyGxhNWe5ylPsVPm3LyAXY7FKNw+X\nh9580bPd3QrBDnpCg9e30eV+s95R4vESURjP3xtiuoujW5OSkprNqtCNJFUt9QeqJblWkqpF\nsU6S62W5VpIqA2J5QKySpBZjStpk4bgRodY7Q213htoy2rxfZMc0SPKgQ0ftPHdgYHp3JcUr\nYZfT9Wzl2f0eL89YP7NpoNl0fYh5oNk0KCQkpWNXynfwBUVU1bOidLGr799vdM45VXlWFAdb\nQvJTkwe09cyLqnrQ6/ufy/O5x7PH7akIiGPC7S8lJ7Y/iYxTVhij1r2cTAywinKuopwrK2WV\np9h3z1cdDQ1/auBN/4yMIaIfNjU8883hO6vPsHbOaRF9fk3/32fc8LHKMaL7wu3PJMS1+b9o\n7r9uD1Pp5mCnuja1nseOOZtYzVnW2EgWqxoeroZFtBzdrKrkdnEuJ3M5VWJqat+eeUuDTtFB\nsOs4Jkkqz7ffs89VV3FfljCPm3w+5vOR38t8PvL7zo3gafsxnBKXoCb3UZJS1Jg48nmZ20Vu\nF/O4mdtNXo+amCzflNWT8zMj2EGP+srnf6Ou/h8NjdXnB9yZOK6P0ZBqNKYaDX1NxtDzb7qS\nqroUhYhsHBcu8OH8+S+BD+d5gTG3oojnw5moqFWSdMznP+rzH/X5jvr8JwOBgNJ2dIszGPoY\ntS9jH6MhxWiw8bzvu5+3akTpM7dnl9P1zfnbe8QbhBstIRE8HykIETwfJfCRghAp8HGCkGIy\ntn8N1tKqmj+cObsoMW5Ol2/z0FNUoq2OpvyauhKPx9vsCQzj+VSjwcCxUO7bM6za1WlpJuM1\nJuM1JlOa0eB3Ott/QakUpbW19evq6qtEKdYg/NBm+2Go9Y5Qq9b56JDlpyvObKh3GDk2Ly7m\nibgYoWPXV7kVxdpdnXeyzM6c5uprWVMjc7u1k0/M2bjbZH3hukEfR0QT0S3upmdqTv/E71FN\nZhIEEgyq2UyCwS0YDptDlptC3/UHVKLbbdb/l3hZXdu9RDu3FIPvtasq2F0WWWZuFzU1cm4X\nNTUxt5N5PWpYhJLcR01MUi+7W7l7IdhBEEiq+vbpyv843bVGY7kolfkDrg7e6KxjzIz1M5v6\nm02JBkOsQYgWhEiejxL4OIMhxiB06kL4Un9gl9O1y+na7XQ7mnctfVeUICQahCSDIcVktHKc\nS1FcsuKUZW3OmuM+v0p0aFD6RW/41vvIqvqNP3DI5z/k9R3y+g75fGX+QPsnORlRgiAkMxpo\ns/7AZs0wmzPMJm2KbEWlXU7X32rrdzY5ZVW1ctwtNkuJx1d7/rxXqtE43Gb5yOmqEqXMEHN+\nanJP3syg4/7r9rxYVf2vJhcR3WgJmRgZXitJpX6xNBAoCwQuzA+SGWJelBj3Y/uVHdTcYxDs\n9ArBTpcQ7L51+vTpVatWqarKcVxOTg5+16+oFhMU10lSWUA8HRDrZVlgzNqsv9KnKA5Jccjy\n+S+lSZYMjDE618bMmJnjQnmun9mUbjKlm019jN3f4amoVCtJDbLccH62s3pJqpWks6JcHvBX\nitIZUfK3FU8Fxuw8NzM2uut3Ze1lmmRFIZWIZFU9FRBP+gMn/YFv/P6T/sAJn7/mu/E3zmDI\nMBvLA6J27nOg2fSr6MiJkRGhPKcSHfL6drvcu53u/3O6XIpiYOyJ+Jh5cTGXc5ezHrDX7X2x\nqvqfTc4LSZcjSjQa+hqNqUbDj+yhPwsP68Vd7p2GYKdXCHa6hGD3rYULF959993Dhw//5JNP\nPvjgg8WLFzdf29jYKIptTbEDXeL3+2VZDgkJYb37LbxTamS5SlZcihrKMTvHWRmzcqyLM2V8\nP4mi2OAPVPD8CUU9HhCPS9JxUTorK0bGRlvMD1lDhl7kRgUy0YGAaOe4a78/JzUPB8QvRSme\n51MELokXDLo+zh6Ph+d5Uy8Y6APdyOv1ElEPv/3DlSaKoiiKJpOpg2MTo6Oju2W/vTHYTZw4\nce3atSEhIT6fb+rUqX//+9+brz179qzf36GbdAFAc05VJaLQqyngAgB8X/Tp0z2z9/W+uzcS\naZ2w2oLSqk8tOjpa7cA4SuighoYGr9cbFxd3lcxjd5VwOp1OpzMyMtJ8Be4AC8GiKEpVVZXJ\nZIqK6tBdaOH74uzZs0QUF9fezevgeydYr8O9Mdilp6eXlJRkZWUdPHgwIyOjxVrkj+6l9cAK\ngoAnVk+0j0Y8zws9PtMyXDnaB12O43BYdQmHVWeC9TrcG3+NfvOb3xQUFOzcuVMUxenTpwe7\nHAAAAIDvh94Y7JKTk5977rlgVwEAAADwPYP7AAIAAADoBIIdAAAAgE4g2AEAAADoBIIdAAAA\ngE4g2AEAAADoBIIdAAAAgE4g2AEAAADoBIIdAAAAgE4g2AEAAADoBIIdAAAAgE4g2AEAAADo\nBIIdAAAAgE4g2AEAAADoBIIdAAAAgE4g2AEAAADoBIIdAAAAgE4g2AEAAADoBIIdAAAAgE4g\n2AEAAADoBIIdAAAAgE4g2AEAAADoBIIdAAAAgE4g2AEAAADoBIIdAAAAgE4IwS4AgowxxnHI\n93rDcRwOqy5xHMcYC3YV0M3w16pLwXodZg6Ho+f3CgAAAADdDp8SAAAAAHQCwQ4AAABAJxDs\nAAAAAHQCwQ4AAABAJxDsAAAAAHQC051cFQKBwMqVK+vr6x0Ox+TJk1NTU1etWqWqKsdxOTk5\nSUlJTU1NOTk569evJ6LTp0+3WBvs8qFtnTqsLRrfdtttwS4fLqpTR1ZTVlb2xBNPbN68OYhl\nQ/s6dVgbGhry8/M9Hg8R3XPPPcOHDw92+dC2zv61bty4sbi4mIgGDx48YcKEK1ESgt1VoaSk\nJDIycu7cueXl5c8888x1112XnZ09fPjwTz755JVXXrn//vvfe++9hoYGrXFhYWHztYsXLw5u\n8XAxnTqsLRoj2PVmnTqyRORyud58802/3x/EmuGSOnVYV69enZWV9eMf/9jj8dTV1QW3cmhH\nZ/9a33vvvQULFqiq+txzz12hYIeu2KvC9ddf/9BDDxHR8ePH+/fvf/To0ZtuuomIhgwZoi0v\nWrToQuMWa4NVM1xSpw5ri8bBqhk6olNHVlGUgoKCqVOnBqta6KBOHdbi4uLS0tKJEyfOmzev\nqakpaEXDpXTqsBLRrFmznnjiiblz586ePfsKlYRgd1UICQlxuVwvvvhieXn5/PnztbPERKSq\nqqIoLRq3vxZ6j04d1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      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot the migrant land vs. Sea routes to europe by Date\n",
    "p1 <- ggplot(border_lg, aes(x=Date, y=Count, colour = BorderLocation)) + \n",
    "  geom_line() +\n",
    "  ylab(\"Number of Migrants\") +\n",
    "  theme_fivethirtyeight(base_size = 7, base_family = \"sans\") + \n",
    "  ggtitle(\"Land vs. Sea Routes to Europe by Date\") +\n",
    "  labs(caption = \"Source: Frontex\") \n",
    "\n",
    "p1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Takeaways \n",
    "\n",
    "* In 2015 both the land and sea border crossings peaked simultaneously\n",
    "* Since 2016 most migrants are coming to Europe by sea \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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nSqAdBSk94pyViR9ognJHSmIaBTjYCUhvROSaaKxCekTaBDjYAWm9ROSaaKtEe8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\nwyiARWIYBciZ8f8BMPmlbC7z/x8AAAAASUVORK5CYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "border_lg$Date <- NULL \n",
    "\n",
    "# group the data by route and sum by date column\n",
    "bdr_df <- border_lg %>% \n",
    "  group_by(BorderLocation) %>% \n",
    "  summarise_all(funs(sum))\n",
    "\n",
    "\n",
    "# plot missing persons in the med region \n",
    "pie <- ggplot(bdr_df, aes(x=\"\", y=Count, fill=BorderLocation)) +\n",
    "    geom_bar(width = 1, stat = \"identity\") +\n",
    "    coord_polar(\"y\", start=0) + \n",
    "    theme_fivethirtyeight(base_size = 7, base_family = \"sans\") + \n",
    "    scale_color_brewer(name='',palette='Set1') + \n",
    "    ggtitle('Proportion of Migrants Coming to Europe by Land and Sea')\n",
    "pie"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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ULi72yoAUIqJxfS0p4SFxJ/Z0MNEFI5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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# group the data by Nat and sum by date column\n",
    "nat_route <- flong %>% \n",
    "  group_by(NationalityLong, Route, Date) %>% \n",
    "  summarise(Count = sum(Count))\n",
    "\n",
    "# apply our date function \n",
    "nat_route$Date <- cleanup(nat_route$Date)\n",
    "\n",
    "# let's look at the top five countries where migrants come from \n",
    "nat_rte_p <- nat_route[nat_route$NationalityLong %in% c('Afghanistan', 'Syria', 'Iraq', 'Albania', 'Eritrea'), ]\n",
    "\n",
    "\n",
    "p3 <- ggplot(data=nat_rte_p, aes(x=Date, y=Count, fill=NationalityLong)) +\n",
    "  geom_bar(alpha = 6/10, stat=\"identity\")+\n",
    "  scale_color_brewer(name='',palette='Set1') + \n",
    "  scale_fill_brewer(palette=\"Dark2\")+\n",
    "  theme_fivethirtyeight(base_size = 7, base_family = \"sans\") + \n",
    "  theme(legend.position='bottom', legend.text=element_text(size=6)) + \n",
    "  ggtitle(\"European Migrants by Nationality\") +\n",
    "  labs(caption = \"Source: Frontex\") +\n",
    "  facet_grid(NationalityLong ~ .)\n",
    "\n",
    "p3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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CHJCEk15aldvY0JKRtCkjVdSN5f+uDJ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\nQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# let's focus on migrants coming from the middle east\n",
    "natp <- nat_route[nat_route$NationalityLong %in% c('Syria', 'Iraq'), ]\n",
    "\n",
    "\n",
    "p4 <- ggplot(data=natp, aes(x=Date, y=Count, fill=NationalityLong)) +\n",
    "  geom_bar(alpha = 6/10, stat=\"identity\")+\n",
    "  scale_color_brewer(name='',palette='Set1') + \n",
    "  scale_fill_brewer(palette=\"Dark2\")+\n",
    "  theme_fivethirtyeight(base_size = 7, base_family = \"sans\") + \n",
    "  theme(legend.position='bottom', legend.text=element_text(size=6)) + \n",
    "  ggtitle(\"European Migrants from Iraq and Syria\") +\n",
    "  labs(caption = \"Source: Frontex\") +\n",
    "  facet_grid(NationalityLong ~ .)\n",
    "\n",
    "p4"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Takeaways:  \n",
    "\n",
    "* We notice several waves of migrants coming from Syria to Europe, peaking in 2015\n",
    "* Migrants from Albania mostly came to Europe between 2009 and 2012\n",
    "* Migrants from Iraq seemed to have peaked about the same time as Syrian migrants\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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CGEREgFEFIIIRFSAYQUQkiEVAAhhRAS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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# get rid of values less than one\n",
    "nat_rte_p <- nat_rte_p[nat_rte_p$Count >= 1,]\n",
    "\n",
    "# reorder so our plot looks nice\n",
    "nat_rte_p <- transform(nat_rte_p, NationalityLong = reorder(NationalityLong, Count))\n",
    "\n",
    "# we're going to drop the Other route value for the plot  \n",
    "# it doesn't show up in the plot and gives us some poor color choices\n",
    "nat_rte_p <- nat_rte_p[!(nat_rte_p$Route %in% c('Other')), ]\n",
    "\n",
    "\n",
    "p5 <- ggplot(data=nat_rte_p, aes(x=NationalityLong, y=Count, fill=Route)) +\n",
    "  geom_bar(alpha = 8/10, stat=\"identity\")+\n",
    "#  scale_color_brewer(name='',palette='Set1') + \n",
    "  scale_fill_brewer(palette=\"Dark2\")+\n",
    "  theme_fivethirtyeight(base_size = 7, base_family = \"sans\") + \n",
    "  theme(legend.position='bottom', legend.text=element_text(size=5)) + \n",
    "  coord_flip() +\n",
    "  ggtitle(\"Routes used by Countries with Largest Share of Migrants Coming to Europe\") +\n",
    "  labs(caption = \"Source: Frontex\") \n",
    "#  facet_grid(Route ~ .)\n",
    "\n",
    "p5 "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Takeaways:  \n",
    "\n",
    "* Migrants coming from the Middle East and Afghanistan are primarily using the Mediterranean Sea Route and the Western Balkan Route \n",
    "* Albania borders Greece so it is not surprising this route is being used by migrants from Albania\n",
    "* Migrants from Eritrea are primarily using the Central Med route \n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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QREgkhqIBKJShKpxFAgEgmIRKKiRGJ722VqhZVL4QlEIgGRSFSWSBft1Aorl8Ii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\n4AMQCQAf+P8Xp0zLj8VlXQAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nat_rte <- frontex %>% \n",
    "        gather(Date, Count,4:109) \n",
    "\n",
    "# clean up the columns \n",
    "nat_rte$NationalityLong <- as.factor(nat_rte$NationalityLong)\n",
    "nat_rte$Route <- as.factor(nat_rte$Route)\n",
    "nat_rte$BorderLocation <- NULL \n",
    "nat_rte$Date <- NULL \n",
    "\n",
    "\n",
    "# group the data by Nat and sum by date column\n",
    "rte_nat_sum <- nat_rte %>% \n",
    "  group_by(NationalityLong, Route) %>% \n",
    "  summarise(Count = sum(Count))\n",
    "\n",
    "# plot migrants by Nationality \n",
    "\n",
    "# reorder for the plot \n",
    "rte_nat_sum <- transform(rte_nat_sum, NationalityLong = reorder(NationalityLong, Count))\n",
    "\n",
    "# subset so we can view a reasonable number of records \n",
    "data <- rte_nat_sum[rte_nat_sum$Count >= 1500,]\n",
    "\n",
    "ggplot(data=data, aes(x=NationalityLong, y=Count, fill=Route)) +\n",
    "  geom_bar(stat=\"identity\")+\n",
    "  scale_color_brewer(name='',palette='Set1') + \n",
    "  scale_fill_brewer(palette=\"Set3\")+\n",
    "  theme_fivethirtyeight(base_size = 6.5, base_family = \"sans\") + \n",
    "  coord_flip() +\n",
    "  theme(legend.position='bottom', legend.text=element_text(size=6)) + \n",
    "  ggtitle(\"Migrants Preferred Route to Europe by Nationality\") +\n",
    "  labs(caption = \"Source: Frontex\") "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "#### Takeaways:  \n",
    "\n",
    "* Migrants originating from the Middle East and Afghanistan, Pakistan are primarily using the Eastern Mediterranean Sea Route and the Western Balkan Route to come to Europe\n",
    "* Migrants originating from African countries are primarily using the Central Med Route \n",
    "* A small number of Syrians and Pakistani migrants are using the Central Med Route, which is not the most direct route. \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Recommendations and Conclusions \n",
    "\n",
    "* The wave of migrants coming to Europe from the Middle East appears to be over\n",
    "* Given the cyclical nature of migrants using the Central Med Route, we suggest allocating border patrol, coast guard, and humanitarian resoures aimed at this route in advance of the summer 2018.  \n",
    "* Europe's most porus border areas include places along the Eastern and Central Mediterranean Sea and the Western Balkans. This is consistent with what we've been seeing in the news about migrants coming to Europe via Turkey.  \n",
    "* The wave of migrants in 2015 was mostly from Syria, followed by Iraq and Afghanistan "
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