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": 1,
   "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(viridis)\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": 2,
   "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": 3,
   "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": 4,
   "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": 5,
   "metadata": {},
   "outputs": [
    {
     "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>2009-01-01                           </td><td>   0                                 </td></tr>\n",
       "\t<tr><td>Central Mediterranean                </td><td>2009-01-01                           </td><td>1491                                 </td></tr>\n",
       "\t<tr><td>Circular Route from Albania to Greece</td><td>2009-01-01                           </td><td>1521                                 </td></tr>\n",
       "\t<tr><td>Eastern Land Borders                 </td><td>2009-01-01                           </td><td>  93                                 </td></tr>\n",
       "\t<tr><td>Eastern Mediterranean                </td><td>2009-01-01                           </td><td>2730                                 </td></tr>\n",
       "\t<tr><td>Not specified                        </td><td>2009-01-01                           </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                             & 2009-01-01                            &    0                                 \\\\\n",
       "\t Central Mediterranean                 & 2009-01-01                            & 1491                                 \\\\\n",
       "\t Circular Route from Albania to Greece & 2009-01-01                            & 1521                                 \\\\\n",
       "\t Eastern Land Borders                  & 2009-01-01                            &   93                                 \\\\\n",
       "\t Eastern Mediterranean                 & 2009-01-01                            & 2730                                 \\\\\n",
       "\t Not specified                         & 2009-01-01                            &    0                                 \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "Route | Date | Count | \n",
       "|---|---|---|---|---|---|\n",
       "| Black Sea                             | 2009-01-01                            |    0                                  | \n",
       "| Central Mediterranean                 | 2009-01-01                            | 1491                                  | \n",
       "| Circular Route from Albania to Greece | 2009-01-01                            | 1521                                  | \n",
       "| Eastern Land Borders                  | 2009-01-01                            |   93                                  | \n",
       "| Eastern Mediterranean                 | 2009-01-01                            | 2730                                  | \n",
       "| Not specified                         | 2009-01-01                            |    0                                  | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "  Route                                 Date       Count\n",
       "1 Black Sea                             2009-01-01    0 \n",
       "2 Central Mediterranean                 2009-01-01 1491 \n",
       "3 Circular Route from Albania to Greece 2009-01-01 1521 \n",
       "4 Eastern Land Borders                  2009-01-01   93 \n",
       "5 Eastern Mediterranean                 2009-01-01 2730 \n",
       "6 Not specified                         2009-01-01    0 "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "long_copy <- long \n",
    "head(long)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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GlAEgckwwEpUECyICBJA5I4IBkOSIEC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\nZ9fc/vgo766f3zRUXe6d9SsvUG0HTJh9n3I6NlGnX6B+2WPkfX/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      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot the migrant counts to europe by year\n",
    "p <- ggplot(long, aes(x=Date, y=Count)) + 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(\"Migrants Traveling to Europe by Date\") +\n",
    "  labs(caption = \"Source: Frontex\") \n",
    "\n",
    "p"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "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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qAj2AEA0DbjLbTGTtkhJyy6XtDrYWHgEewAAGifV1y0YkewQ+8R7AAAaJvxqmvs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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": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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x1V1n2L3exmwYU6eEYigGckArF/Rhrsyc69cJqxof5y/5CgUAciEYBIBGIvUmmg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\nRAIgAv4/Nguej2FguZYAAAAASUVORK5CYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# We'll visualize the same data slightly differently.  \n",
    "df1 <- long[long$Count >= 1,]\n",
    "\n",
    "ggplot(data=df1, aes(x=Date, y=Count)) +\n",
    "  geom_bar(stat=\"identity\")+\n",
    "  scale_color_brewer(name='',palette='Set1') + \n",
    "  scale_fill_brewer(palette=\"Set3\")+\n",
    "  theme_fivethirtyeight(base_size = 9.5, base_family = \"sans\") + \n",
    "  theme(legend.position='bottom', legend.text=element_text(size=6)) + \n",
    "  ggtitle(\"Illegal Border Crossings to Europe by Date and Route\") +\n",
    "  labs(caption = \"Source: Frontex\") +\n",
    "  facet_wrap(~ Route)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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6QpablznTnzInHHPAPkKaDdcIyAQSK55RLavhcAkRZRsw8SJy6MQSKhm91iCigS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\nABQAkQBQQBIX/j8F/0me1iKewAAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "long$Date <- NULL \n",
    "\n",
    "# group the data by route and sum by date column\n",
    "# plot missing persons in the med region \n",
    "\n",
    "rte_shares <- long %>% \n",
    "  group_by(Route) %>% \n",
    "  summarise_all(funs(sum)) %>% \n",
    "  ggplot(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",
    "\n",
    "rte_shares"
   ]
  },
  {
   "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": 10,
   "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": 11,
   "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>2009-01-01 </td><td>0          </td></tr>\n",
       "\t<tr><td>Black Sea  </td><td>Sea        </td><td>Algeria    </td><td>2009-01-01 </td><td>0          </td></tr>\n",
       "\t<tr><td>Black Sea  </td><td>Sea        </td><td>Belarus    </td><td>2009-01-01 </td><td>0          </td></tr>\n",
       "\t<tr><td>Black Sea  </td><td>Sea        </td><td>Iran       </td><td>2009-01-01 </td><td>0          </td></tr>\n",
       "\t<tr><td>Black Sea  </td><td>Sea        </td><td>Iraq       </td><td>2009-01-01 </td><td>0          </td></tr>\n",
       "\t<tr><td>Black Sea  </td><td>Sea        </td><td>Morocco    </td><td>2009-01-01 </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 & 2009-01-01  & 0          \\\\\n",
       "\t Black Sea   & Sea         & Algeria     & 2009-01-01  & 0          \\\\\n",
       "\t Black Sea   & Sea         & Belarus     & 2009-01-01  & 0          \\\\\n",
       "\t Black Sea   & Sea         & Iran        & 2009-01-01  & 0          \\\\\n",
       "\t Black Sea   & Sea         & Iraq        & 2009-01-01  & 0          \\\\\n",
       "\t Black Sea   & Sea         & Morocco     & 2009-01-01  & 0          \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "Route | BorderLocation | NationalityLong | Date | Count | \n",
       "|---|---|---|---|---|---|\n",
       "| Black Sea   | Sea         | Afghanistan | 2009-01-01  | 0           | \n",
       "| Black Sea   | Sea         | Algeria     | 2009-01-01  | 0           | \n",
       "| Black Sea   | Sea         | Belarus     | 2009-01-01  | 0           | \n",
       "| Black Sea   | Sea         | Iran        | 2009-01-01  | 0           | \n",
       "| Black Sea   | Sea         | Iraq        | 2009-01-01  | 0           | \n",
       "| Black Sea   | Sea         | Morocco     | 2009-01-01  | 0           | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "  Route     BorderLocation NationalityLong Date       Count\n",
       "1 Black Sea Sea            Afghanistan     2009-01-01 0    \n",
       "2 Black Sea Sea            Algeria         2009-01-01 0    \n",
       "3 Black Sea Sea            Belarus         2009-01-01 0    \n",
       "4 Black Sea Sea            Iran            2009-01-01 0    \n",
       "5 Black Sea Sea            Iraq            2009-01-01 0    \n",
       "6 Black Sea Sea            Morocco         2009-01-01 0    "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "flong <- frontex %>% \n",
    "        gather(Date, Count,4:109) \n",
    "\n",
    "flong$Date <- cleanup(flong$Date)\n",
    "\n",
    "head(flong)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "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$Date <- NULL \n",
    "\n",
    "\n",
    "head(flong_nat)\n",
    "\n",
    "\n",
    "# group the data by Nat and sum by date column\n",
    "flong_nat_sum <- flong_nat %>% \n",
    "  group_by(NationalityLong, BorderLocation) %>% \n",
    "  summarise(Count = sum(Count))\n",
    "\n",
    "head(flong_nat_sum)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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D2EuG6mf4hD124LtpIQJN9L/Vl62Uv9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\nkIgEAYlIEJCIBAGJSBCQiAQBiUjQ/weCikQ54GcPIAAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot migrants by Nationality \n",
    "\n",
    "# reorder for the plot \n",
    "flong_nat_sum <- transform(flong_nat_sum, NationalityLong = reorder(NationalityLong, Count))\n",
    "\n",
    "\n",
    "flong_nat_sum <- flong_nat_sum[!flong_nat_sum$NationalityLong == 'Notspecified',]\n",
    "flong_nat_sum <- flong_nat_sum[!flong_nat_sum$NationalityLong == 'UnspecifiedsubSaharannationals',]\n",
    "\n",
    "\n",
    "# subset so we can view a reasonable number of records \n",
    "CM <- flong_nat_sum[flong_nat_sum$Count >= 42000,]\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": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th></th><th scope=col>NationalityLong</th><th scope=col>BorderLocation</th><th scope=col>Count</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>1</th><td>Afghanistan</td><td>Land       </td><td>139813     </td></tr>\n",
       "\t<tr><th scope=row>2</th><td>Afghanistan</td><td>Sea        </td><td>296784     </td></tr>\n",
       "\t<tr><th scope=row>3</th><td>Albania    </td><td>Land       </td><td>119837     </td></tr>\n",
       "\t<tr><th scope=row>78</th><td>Eritrea    </td><td>Sea        </td><td>117558     </td></tr>\n",
       "\t<tr><th scope=row>107</th><td>Iraq       </td><td>Sea        </td><td>129089     </td></tr>\n",
       "\t<tr><th scope=row>124</th><td>Kosovo     </td><td>Land       </td><td> 56601     </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|lll}\n",
       "  & NationalityLong & BorderLocation & Count\\\\\n",
       "\\hline\n",
       "\t1 & Afghanistan & Land        & 139813     \\\\\n",
       "\t2 & Afghanistan & Sea         & 296784     \\\\\n",
       "\t3 & Albania     & Land        & 119837     \\\\\n",
       "\t78 & Eritrea     & Sea         & 117558     \\\\\n",
       "\t107 & Iraq        & Sea         & 129089     \\\\\n",
       "\t124 & Kosovo      & Land        &  56601     \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "| <!--/--> | NationalityLong | BorderLocation | Count | \n",
       "|---|---|---|---|---|---|\n",
       "| 1 | Afghanistan | Land        | 139813      | \n",
       "| 2 | Afghanistan | Sea         | 296784      | \n",
       "| 3 | Albania     | Land        | 119837      | \n",
       "| 78 | Eritrea     | Sea         | 117558      | \n",
       "| 107 | Iraq        | Sea         | 129089      | \n",
       "| 124 | Kosovo      | Land        |  56601      | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "    NationalityLong BorderLocation Count \n",
       "1   Afghanistan     Land           139813\n",
       "2   Afghanistan     Sea            296784\n",
       "3   Albania         Land           119837\n",
       "78  Eritrea         Sea            117558\n",
       "107 Iraq            Sea            129089\n",
       "124 Kosovo          Land            56601"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th></th><th scope=col>NationalityLong</th><th scope=col>BorderLocation</th><th scope=col>Count</th><th scope=col>new</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>1</th><td>Afghanistan</td><td>Land       </td><td>139813     </td><td>139.813    </td></tr>\n",
       "\t<tr><th scope=row>2</th><td>Afghanistan</td><td>Sea        </td><td>296784     </td><td>296.784    </td></tr>\n",
       "\t<tr><th scope=row>3</th><td>Albania    </td><td>Land       </td><td>119837     </td><td>119.837    </td></tr>\n",
       "\t<tr><th scope=row>78</th><td>Eritrea    </td><td>Sea        </td><td>117558     </td><td>117.558    </td></tr>\n",
       "\t<tr><th scope=row>107</th><td>Iraq       </td><td>Sea        </td><td>129089     </td><td>129.089    </td></tr>\n",
       "\t<tr><th scope=row>124</th><td>Kosovo     </td><td>Land       </td><td> 56601     </td><td> 56.601    </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|llll}\n",
       "  & NationalityLong & BorderLocation & Count & new\\\\\n",
       "\\hline\n",
       "\t1 & Afghanistan & Land        & 139813      & 139.813    \\\\\n",
       "\t2 & Afghanistan & Sea         & 296784      & 296.784    \\\\\n",
       "\t3 & Albania     & Land        & 119837      & 119.837    \\\\\n",
       "\t78 & Eritrea     & Sea         & 117558      & 117.558    \\\\\n",
       "\t107 & Iraq        & Sea         & 129089      & 129.089    \\\\\n",
       "\t124 & Kosovo      & Land        &  56601      &  56.601    \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "| <!--/--> | NationalityLong | BorderLocation | Count | new | \n",
       "|---|---|---|---|---|---|\n",
       "| 1 | Afghanistan | Land        | 139813      | 139.813     | \n",
       "| 2 | Afghanistan | Sea         | 296784      | 296.784     | \n",
       "| 3 | Albania     | Land        | 119837      | 119.837     | \n",
       "| 78 | Eritrea     | Sea         | 117558      | 117.558     | \n",
       "| 107 | Iraq        | Sea         | 129089      | 129.089     | \n",
       "| 124 | Kosovo      | Land        |  56601      |  56.601     | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "    NationalityLong BorderLocation Count  new    \n",
       "1   Afghanistan     Land           139813 139.813\n",
       "2   Afghanistan     Sea            296784 296.784\n",
       "3   Albania         Land           119837 119.837\n",
       "78  Eritrea         Sea            117558 117.558\n",
       "107 Iraq            Sea            129089 129.089\n",
       "124 Kosovo          Land            56601  56.601"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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sN/f3d9cdN078aOnRddcTFRTPE9FqII\nAhJRBAGJKIKARBRBQCKKICARRVDSkO7eafF/P2Sm1Qc4dafF/1rUyTv110m0iYkIdpI0pFtB\ni/8I3GgwlfQQavdp0OLSrwVJj6BOA4P116kbkOoEJDUg+QhIakBSA5KPgKQGJB8BSQ1IakDy\nEZDUgOQjIKkBSQ1IPgKSGpB8BCQ1IKkByUdAUgOSj25tImqdmp7IQCIq1fREBhJRqaYnMpCI\nSjU9kYFEVKrpiQwkolJNT2QgEZVqeiIDiahU0xMZSESlmp7IQCIq1fREBhJRqaYnMpCISjU9\nkYFEVKrpiQwkolJNT2QgEZVqeiIDiahU0xMZSESlmp7IQCIq1fREBhJRqaYnMpCISjU9kYFE\nVKrpiQwkolJNT2QgEZVqeiIDiahU0xMZSESlmp7IQCIq1fREBhJRqaYnsgjp+v5U12Mjwg6B\nRK1U0xJESLtevT19dG/5Lcca2wGQqJVqWoIIqXPUbLJH2AGQqJVqeiKLkPbv/N1k+OXIKbPD\nPzH3Tndmh2e3dXb35ldIT9ZuNOlHjqisOtN1cjImSDOv7Wh/YtT+8JDNpEbMPR1kdri1N32p\nLb/CZFCnpB85orLqTddF/60nEdLsnA33PBAqGj23O9zZjewO0xdP9xT2OzNWu6GkHzmisupM\n17GxmCCtvGx2Y6VZz5vffTu3s/DXgSfOjSx1v7xHolaqaQkipMceHxt5eb/ZuYfX3ilC6gzm\nTrsl/nuMQKJWqmkJIqSpw+tW7R8xm175uBUhvZHa3LtniR/lAYlaqaYlRPWTDTvONbcdkKiV\nahpANJDu/mPdTHNbAolaqaYJRAPpt12/a3JLIFEr1TQBfmiVqFTTExlIRKWanshAIirV9EQG\nElGppicykIhKNT2RgURUqumJDCSiUk1PZCARlWp6IgOJqFTTExlIRKWanshAIirV9EQGElGp\npicykIhKNT2RgURUqumJDCSiUk1PZCARlWp6IgOJqFTTExlIRKWanshAIirV9EQGElGppicy\nkIhKNT2RgURUqumJDCSiUk1PZCARlWp6IicOKRhPeAR1Gg2mkh5C7T4NlvjvFSTVtUX/TaEW\naWAwgp0AqU5AUgOSj4CkBiQ1IPkISGpA8hGQ1ICkBiQfAUkNSD4CkhqQ1JYHpKS/cbDcS/j8\nGpD8BKSYS/j8GpD8BKSYS/j8GpD8BKSYS/j8GpD8BKSYS/j8GpD8BKSYS/j8GpD8BKSYS/j8\nGpD8BKSYS/j8GpD8BKSYS/j8GpD8BKSYS/j8GpD8BKSYS/j8GpD8BKSYS/j8GpD8BKSYS/j8\nGpD8BKSYS/j8GpD8BKSYS/j8GpD8BKSYS/j8GpD8BKSYS/j8GpD8BKSYS/j8GpD8BKSYS/j8\nGpD8BKSYS/j8GpD8BKSYS/j8GpD8BKSYS/j8GpD8BKSYS/j8GpD8BKSYS/j8GpD8BKSYS/j8\nGpD8BKSYS/j8GpD8BKSYS/j8GpBstmvTXPjl5e6a64oSgRRz2umJos88pD9tTvWFX1I3a657\nrHDh0aaOD6SYa+qsRNpnHtKTJ586XrFG7Sef5p6agBRzTZ2VSPusQ7rbNfxh+Npuv9t253D3\nfW+HK7qfblnzmtnZbZ3dveG1M1vXnMru4HR36vXMevOWZJu9XbvhpCfacq/O4++hwSDpEdTp\n8kADKzcO6fxuS6/ry6zx5OGp6SczkH5s/2g329qbvtQWXjs5d6E9u4NVfQO7sxcql2SbDOqU\n9ERb7tV7/KmxGod02IUdz6zRNWY2moE0kV0/ffF0T+la+N/+fe/PVlnCM1IrpPxRHU2f8Wek\nmdXXw2el8LWds9QNs5s5M5lfB544N1K6Fv43d/7x3VWWLCneI8XcEs9DjH3G3yN9sC38bbqj\nL1zj0JHp6adKQDqDudNutgzSPQP9q8MLd+ctWVJAirkI5ojYZxxSz8uZ3/cdD9e4fTC1+d3O\nIqQ3Upt79/SUQfrZmq63zPZumLdkSQEp5vQpovYZh1TW2SGzyxsjOFiVgBRz8Zy2RgJSoaP7\nxob3vxjBwaoEpJiL57Q1EpAKTR7s7H5yMoKDVQlIMRfPaWskIPkISDGX8Pk1IPkJSDGX8Pk1\nIPkJSDGX8Pk1IPkJSDGX8Pk1IPkJSDGX8Pk1IPkJSDGX8Pk1IPkJSDGX8Pk1IPkJSDGX8Pk1\nIPkJSDGX8Pk1IPkJSDGX8Pk1IPkJSDGX8Pk1IPkJSDGX8Pk1IPkJSDGX8Pk1IPkJSDGX8Pk1\nIPkJSDGX8Pk1IPkJSDGX8Pk1IPkJSDGX8Pk1IPkJSDGX8Pk1IPkJSDGX8Pk1IPkJSDGX8Pk1\nIPkJSDGX8Pk1IPkJSDGX8Pk1IPkJSDGX8Pk1IPkJSDGX8Pk1IPnpVjCe8AjqNBpMJT2E2n0a\nzCY9hNoByUdAUgOSGpB8BCQ1IPkISGpAUgOSj4CkBiQfAUkNSGpA8hGQ1IDkI2/fR2p2gEBS\nA5KPgKQGJDUgAcmApAckIBmQ9IAEJAOSHpCAZEDSAxKQDEh6QAKSAUkPSEAyIOkBCUgGJD0g\nAcmApAckIBmQ9IAEJAOSHpCAZEDSAxKQDEh6QAKSAUkPSEAyIOkBCUgGJD0gAcmApAckIBmQ\n9IAEJAOSHpCAZEDSAxKQDEh6QAKSAUkPSEAyIOkBCUgGJD0gAcmApNdCkJrfC5DUgKQGJCAZ\nkPSABCQDkl5rQXLvdNvZbZ3dvXbnUGrjm4X93r1Zu+u+INUZx6JdC0aa3dRPV4KxpIdQu8Eg\n6RHUqf9yAyvHD+npwLb2pi+12ZHv3pk6VNjvZFAnX5DqjYNoKcUP6YZZ+uLpHmdrR81GCvtN\nT9Zu1BekOuNYtE+Dm81u6qdrwZ2kh1C7K0HSI6jT5YEGVo4fUvjlwBPnQkGrQkhjS90v75HU\neI+k1mLvkcIvncHcaTf7nYMTpZd29QKSGpDUWg/SG6nNvXt6xg6suvenQPIVkNRaCFLz+wWS\nGpDUgAQkA5JeS0NaakBSA5IakIBkQNIDEpAMSHpAApIBSQ9IQDIg6QEJSAYkPSAByYCkByQg\nGZD0gAQkA5IekIBkQNIDEpAMSHpAApIBSQ9IQDIg6QEJSAYkPSAByYCkByQgGZD0gAQkA5Ie\nkIBkQNIDEpAMSHpAApIBSQ9IQDIg6QEJSAYkPSAByYCkByQgGZD0gAQkA5Le8oAUjCc8gjoB\nSQ1IPgKSGpDUgOQjIKkByUdAUgOSGpB8BCQ1IPkISGpAUgOSj4CkBiQfxf99JHGAQFIDko+A\npAYkNSAByYCkByQgGZD0gAQkA5IekIBkQNIDEpAMSHpAApIBSQ9IQDIg6QEJSAYkPSAByYCk\nByQgGZD0gAQkA5IekIBkQNIDEpAMSHpAApIBSQ9IQDIg6QEJSAYkPSAByYCkByQgGZD0gAQk\nA5IekIBkQNIDEpAMSHpAApIBSQ9IQDIg6QEJSAYkPSAByYCklxCk2a5Nc7kNq27b4A6BpAYk\ntYQg/Wlzqs8Wh3Sssb0BSQ1IaglBevLkU8dtcUgNBiQ1IKklA+lu1/CHmdd2GUjHUzvDMZzd\n1tndG147s3XNqezt+RuyzYzU7lrskOoMoF5XguviHmJuMBhOegi1GwiSHkGd+i83sHJkkM7v\ntvS6vhykl2df/KbZ1t70pbbw2sm5C+3Z2/M3ZJsM6hQ7pHoDIGqgyCAddmHHc5Cu2s1Os/TF\n0z2ZaxOF13v5G7LNTdduLHZIdQZQr0+D2+IeYm4omEh6CLW7GiQ9gjpdHmhg5aggzay+Hj4r\nha/tcpBupcwOPHFuJP+OKfclf8OS4j2SGu+R1BJ5j/TBtvC36Y6+3Huk2Ze+bdYZzJ12s2WQ\n8jcsKSCpAUktEUg9L2d+33c8a+aV1MOfmr2R2ty7p6cMUv6GJQUkNSCp8ZMNQDIg6QEJSAYk\nPSAByYCkByQgGZD0gAQkA5IekIBkQNIDEpAMSHpAApIBSQ9IQDIg6QEJSAYkPSAByYCkByQg\nGZD0gAQkA5IekIBkQNIDEpAMSHpAApIBSQ9IQDIg6QEJSAYkPSAByYCkByQgGZD0gAQkA5Ie\nkIBkQNIDEpAMSHpAApIBSQ9IQDIg6QEJSAYkPSAByYCktzwgBeMJj6BOQFIDko+ApAYkNSD5\nCEhqQPIRkNSApAYkHwFJDUg+ApIakNSA5CMgqQHJR3F/H0keIJDUgOQjIKkBSQ1IQDIg6QEJ\nSAYkPSAByYCkByQgGZD0gAQkA5IekIBkQNIDEpAMSHpAApIBSQ9IQDIg6QEJSAYkPSAByYCk\nByQgGZD0gAQkA5IekIBkQNIDEpAMSHpAApIBSQ9IQDIg6QEJSAYkPSAByYCkByQgGZD0gAQk\nA5IekIBkQNIDEpAMSHpAApIBSQ9IQDIg6SUJya3IJO0iF5DUgKSWKKSyy8fMHm36+EBSA5Ja\nq0Bqfi8GJD0gqbUCJPdOd3h5v9uWuTT67bVf7hkxO7uts7s3v8L0UO2uxAypzuHrNxBclfcR\nawPBtaSHULvLQdIjqFN/fwMrRw0pW/j16SCzi9ylfWemx0/sNdvam77Ull9xMqhTzJDqHZ6o\noaKGVPh6wwqQblhHBtdas/TF0z2FFebStbsZM6Q6h6/fSDAh7yPWrgczSQ+hdleDpEdQp8uD\nDawcFyQrQjJbf9Vs6rrZgSfOjSx1v7xHUuM9klpLvEfK/XJ3M78/e2Rq7NGnzDqDudNuiWcX\nSGpAUmuF7yPlIe3dkPl94ntdqSPhtHsjtbl3T8/SdgQkNSCp8ZMNQDIg6QEJSAYkPSAByYCk\nByQgGZD0gAQkA5IekIBkQNIDEpAMSHpAApIBSQ9IQDIg6QEJSAYkPSAByYCkByQgGZD0gAQk\nA5IekIBkQNIDEpAMSHpAApIBSQ9IQDIg6QEJSAYkPSAByYCkByQgGZD0gAQkA5IekIBkQNID\nEpAMSHpAApIBSQ9IQDIg6QEJSAYkPSAByYCktzwgBeMJj6BOQFIDko+ApAYkNSD5CEhqQPIR\nkNSApAYkHwFJDUg+ApIakNSA5CMgqQHJR/F8HynCAQJJDUg+ApIakNSABCQDkh6QgGRA0gMS\nkAxIekACkgFJD0hAMiDpAQlIBiQ9IAHJgKQHJCAZkPSABCQDkh6QgGRA0gMSkAxIekACkgFJ\nD0hAMiDpAQlIBiQ9IAHJgKQHJCAZkPSABCQDkh6QgGRA0gMSkAxIekACkgFJD0hAMiDpAQlI\nBiQ9IAHJgKQHJCAZkPSABCQDkp53SG7FirYdl+ZtKkoEkhqQ1PxDMrv9f3fM2/RY4eqjTR0f\nSGpAUksCkk20L7Zpc09NQFIDkloSkG6e+KrZ2W2d3b2Zq2Pb387ceLo79brtd9uKC85sXXMq\nv83U1doNxgKpzkEb6XIwGOHeYuhycCXpIdTucpD0COoU9DewciSQwraE75G29qYvtYVXR7a8\nl93Bqr6B3dkLhQUn5y4UnrimLteuPxZIdQ7aSEHQH+HeYqg/SHoEdWr5AQaNDDASSPmv6Yun\ne8LLbnvqRvbG/fven81eKCyYWPp+eWmnxks7tUTeI2U68MS5kYyXj5/5bvbGufOP556RCgsa\n2C+Q1ICklhikzmDutJsNr05s+H3mxnsG+leHS++WFgDJX0BSSwzSG6nNvXt6Mlc/+NJE+PvP\n1nS9ZbZ3Q9kCIHkLSGr8ZAOQDEh6QAKSAUkPSEAyIOkBCUgGJD0gAcmApAckIBmQ9IAEJAOS\nHpCAZEDSAxKQDEh6QAKSAUkPSEAyIOkBCUgGJD0gAcmApAckIBmQ9IAEJAOSHpCAZEDSAxKQ\nDEh6QAKSAUkPSEAyIOkBCUgGJD0gAcmApAckIBmQ9IAEJAOSHpCAZEDSAxKQDEh6QAKSAUkP\nSEAyIOktD0jBeMIjqBOQ1IDkIyCpAUkNSD4CkhqQfAQkNSCpAclHQFIDko+ApAYkNSD5CEhq\nQPJR1N9HinyAQFIDko+ApAYkNSAByYCkByQgGZD0gAQkA5IekIBkQNIDEpAMSHpAApIBSQ9I\nQDIg6QEJSAYkPSAByYCkByQgGZD0gAQkA5IekIBkQNIDEpAMSHpAApIBSQ9IQDIg6QEJSAYk\nPSAByYCkByQgGZD0gAQkA5IekIBkQNIDEpAMSHpAApIBSQ9IQDIg6QEJSAYkvaQguRP5Datu\n2+AOgaQGJLXEIK3sy214rNrSqjcuHpDUgKSWGKQfPTAb2WtCIKkBSS0xSHe3/zj/0u7O4e77\n3nY2+u21X+4ZCW94pztz+9ltnd29S9wZkNSApJYYJLu0sj8H6cnDU9NPOtt3Znr8xN7whqeD\nzO1be9OX2vIrT12uXX/EkOocrvGCoD/yfUZaf5D0COrU8gMMGhlgpJDspZ3pLKSusfCPbGcd\nLmxteMON7NL0xdM9hf1ODdZuIGJIdQ7XeP3BQOT7jLT+IOkR1KnlBxj0N7BytJBmNr2ehZQK\n5dx0tv5qKOZ6bmfhrwNPnBtZ6n55aafGSzu15F7amf1lZRbSoSPT0085e/bI1NijTxUhdQZz\np90Szy6Q1ICkliQkez4L6fbB1OZ3O23ie12pI1NFSG+kNvfu6VnazoCkBiS1FvjJhrNDZpc3\nKnsAkhqQ1FoA0tF9Y8P7X1T2ACQ1IKm1AKTJg53dT04qewCSGpDUWgCSHpDUgKQGJCAZkPSA\nBCQDkh6QgGRA0gMSkAxIekACkgFJD0hAMiDpAQlIBiQ9IAHJgKQHJCAZkPSABCQDkh6QgGRA\n0gMSkAxIekACkgFJD0hAMiDpAQlIBiQ9IAHJgKQHJCAZkPSABCQDkh6QgGRA0gMSkAxIekAC\nkgFJD0hAMiDpAQlIBiS95QEpGE94BHUCkhqQfAQkNSCpAclHQFIDko+ApAYkNSD5CEhqQPIR\nkNSApAYkH5xvCWkAAAypSURBVAFJDUg+auj7SEkMEEhqQPIRkNSApAYkHwFJDUg+ApIakNSA\n5CMgqQHJR0BSA5IakHwEJDUg+QhIakBSA5KPgKQGJB8BSQ1IakDyEZDUgOQjIKkBSQ1IPgKS\nGpB8BCQ1IKkByUdAUgOSj4CkBiQ1IPkISGpA8hGQ1ICkBiQfAUkNSD4CkhqQ1IDkIyCpAclH\nQFIDkhqQfAQkNSD5CEhqQFIDko+ApAYkHwFJDUhqQPIRkNSAtLDr+1Ndj43U3FuDMoGkBiS1\nBCDtevX29NG9Nfd2rLHjA0kNSGoJQOocNZvsiWpvmYCkBiS1BCDt3/m7yfDLrZ7udT23wo1f\n7H7lxMbOV83Obuvs7i28tMtfyTaXrt3NRiDV2VcsjQQTSRx26V0PZpIeQu2uBkmPoE6XBxtY\nORpIM6/taH9i1HqOTE8fORRu/F6fOzXzx3azrb3pS20FSPkr2SaDOjUCqd6+iOIuGkizczbc\n84ClxsKXPF3hxjNzbtbmwn2kL57ucQVI+SvZpodqd6URSHX2FUsDwdUkDrv0BoJrSQ+hdpeD\npEdQp/7+BlaOBtLKy2Y3VlrqhtlYqvghXfjrwBPnRoqQ8leWFO+R1HiPpJbAe6THHh8beXm/\nHfx++NKupxxSZzB3OnxycuVXlhSQ1ICklgCkqcPrVu0fsZsHu7uzHzYUIb2R2ty7pyd/Q/7K\nkgKSGpDU+MkGHwFJDUg+ApIakNSA5CMgqQHJR0BSA5IakHwEJDUg+QhIakBSA5KPgKQGJB8B\nSQ1IakDyEZDUgOQjIKkBSQ1IPgKSGpB8BCQ1IKkByUdAUgOSj4CkBiQ1IPkISGpA8hGQ1ICk\nBiQfAUkNSD4CkhqQ1IDkIyCpAclHQFIDkhqQfAQkNSD5CEhqQFIDko+ApAYkHwFJDUhqQPIR\nkNSA5CMgqQFJDUg+ApIakHx0KxhPeAR1ApIakHwEJDUgqQHJR0BSA5KPgKQGJDUg+QhIakDy\nEZDUgKQGJB8BSQ1IPmro+0hJfCcJSGpA8hGQ1ICkBiQfAUkNSD4CkhqQ1IDkIyCpAclHQFID\nkhqQfAQkNSD5CEhqQFIDko+ApAYkHwFJDUhqQPIRkNSA5CMgqQFJDUg+ApIakHwEJDUgqQHJ\nR0BSA5KPgKQGJDUg+QhIakDyEZDUgKQGJB8BSQ1IPgKSGpDUgOQjIKkByUdAUgOSGpB8BCQ1\nIPkISGpAUgOSj4CkBiQfAUkNSGpA8hGQ1IC0+BYfrfkwgmNnApIakNSSg/T31B8iOHQ2IKkB\nSS0xSP3dv43gyLmApAYktaQgDa0/FX651dO9rueW2enu1OuFK/veMnvmxcKSbHN3a3ejMUh1\n9hZDw8G4/4M20vVgKukh1O5qkPQI6nR5sIGVI4S0ae/uObOeI9PTRw6Zreob2F248uvdNtt9\npbAk22RQp8Yg1dsbUbxFCOlXM5v+2yw1Fr7s6TLbv+/92cKV6dVjv3+0uCTbzEjtrjUGqc7e\nYuhKcN3/QRtpMBhOegi1GwiSHkGd+i83sHKEkMw+6bxuqRtmY6nwtdv5x3cXr3zv5989U7yy\npHiPpMZ7JLUEP/5+bs/cwe+HL+B6zO4Z6F9thSsXdnxppnhlSQFJDUhqCUKa+vJbNw92d2c+\nUvjZmq63rHAlvf45K15ZUkBSA5IaP9ngIyCpAclHQFIDkhqQfAQkNSD5CEhqQFIDko+ApAYk\nHwFJDUhqQPIRkNSA5CMgqQFJDUg+ApIakHwEJDUgqQHJR0BSA5KPgKQGJDUg+QhIakDyEZDU\ngKQGJB8BSQ1IPgKSGpDUgOQjIKkByUdAUgOSGpB8BCQ1IPkISGpAUgOSj4CkBiQfAUkNSGpA\n8hGQ1IDkIyCpAUkNSD4CkhqQfAQkNSCpAclHQFIDko9uBeMJj6BOQFIDko+ApAYkNSD5CEhq\nQPIRkNSApAYkHwFJDUg+ApIakNSA5CMgqQHJR0v5PlKiAwSSGpB8BCQ1IKkByUdAUgOSj4Ck\nBiQ1IPkISGpA8hGQ1ICkBiQfAUkNSD4CkhqQ1IDkIyCpAclHQFIDkhqQfAQkNSD5CEhqQFID\nko+ApAYkHwFJDUhqQPIRkNSA5CMgqQFJDUg+ApIakHwEJDUgqQHJR0BSA5KPgKQGJDUg+QhI\nakDyEZDUgKQGJB8BSQ1IPgKSGpDUgOQjIKkByUdAUgOSGpB8BCQ1IFVv64oVbsWKry62nwZ3\nCCQ1IKkl94xUZaNjCy4sLSCpAUmtpSA1G5DUgKSWMCSX++XObF1zKnvpdHfq9eyFs9s6u3vz\nq6Ynaze6BEh1dhFvnwY3Ez1+3a4Fd5IeQu2uBEmPoE6XBxpYOT5IJ+cutGcvreob2J29sLU3\nfaktv+pkUKclQKq3CyJvxQdpIvfFbP++92ezF9IXT/cU9jszVruhJUCqs4t4uxp8mujx63Yl\nGE16CLUbCJIeQZ36LzewciyQJlzJk9nc+cdzz0gHnjg3stT98h5JjfdIagm/R2q7MHeyAtI9\nA/2rsxc6g7nTbolnF0hqQFJLGFLv6i1vV0D62Zqut7IX3kht7t3Ts7RdAUkNSGr8ZIOPgKQG\nJB8BSQ1IakDyEZDUgOQjIKkBSQ1IPgKSGpB8BCQ1IKkByUdAUgOSj4CkBiQ1IPkISGpA8hGQ\n1ICkBiQfAUkNSD4CkhqQ1IDkIyCpAclHQFIDkhqQfAQkNSD5CEhqQFIDko+ApAYkHwFJDUhq\nQPIRkNSA5CMgqQFJDUg+ApIakHwEJDUgqQHJR0BSA5KPgKQGJDUg+QhIakDyEZDUgKQGJB8B\nSQ1IProVjCc8gjoBSQ1IPgKSGpDUgOQjIKkByUdAUgOSGpB8BCQ1IPkISGpAUgOSj4CkBiQf\nAUkNSGpA8hGQ1IDkIyCpAUltWUCaGptJeAR1mhi7m/QQajc+lk56CLW7NZb0COp042YEO0ka\nEtGyCEhEEQQkoggCElEEAYkogoBEFEFAIoqghCHd3rd63+1kh7BIZzd3PjRQHGBLjrOvw1p5\ngLNPpXYOt/AA/7xt5baPIhtfwpCOPT3z9AvJDqF611d+Mt27szjAVhznnQcyJ691B9h7cOro\nkRYe4Pr37/56Q2TjSxjSff3Wf1+yQ6jeh+EUuJEqDrAFxzn3rd9kTl7rDnD7P23i7y08wM1v\n3X5rU2TjSxhSx7RNfzHZISxa+qn/UxxgC47zv57PnrzWHeCaY6sf6GvhAf7NOfe3yMaXPKSp\njmSHsFj/s/3YbHGArTfOCw/fLUBqzQHa53848tK/tfAAd/1w5OijkY0vYUgbB21wY7JDqN7c\nC5mPGooDbL1xvuQyfdy6A7R1Izba0cKPYMeo3VwZ2fgShvTcC3MvHE12CNX7+P7xycnJ4gBb\nc5yZk9e6Azz06swrD7fwAHf+aPLUg5GNL2FI43vX77uT7BCq96PsH/jFAbbmODMnr3UHOLq7\n86HBFh5g/86VO/sjGx/fkCWKICARRRCQiCIISEQRBCSiCAISUQQBiSiCgETLphs/2NB+3ysN\n/v1uLv8dQzEg0bJp12N9Nz7c9mxjG7lPhsOqL7veufTdNHZUopZt3GX+pseP72lsKze0+LKh\npfMAEi2XptqPTeQu3TmUWv/8dNZB1oL7eOOZuy+t7zoyaXb3aNfao3dLSAqQMusUNjR3/r41\nr5mtcqniBmfX37Ffbln0dSOQaNl0prtj76nMq7SeRwYubTlRBunr526d3PLPf2w/YXbywLVL\n218wm/h5bqPsW6Sf59YpbGju8Vu/cHdyGxc26Pn+cNf/LnpsINHyafbij7Z+/j1Lf6HP7NzG\nMkhnze4/Z/a/4ddNo2Z/3F7axgWTk5N3c+sUNjT3kd0Nn6qyGxc2uL1uy8nFDw0kWi5NvZs2\nm3tlnY268NVZf3vWwbUspEGz9v7cWu2ZZ6CyDxGKL+3CdQobmruaXZCFVNzgeFuNvx0FSLRc\nml5xKfz9L902+4UgfGL5Suhg1j7KQgqx3PsHs7/2mq3P/K8d/aWtipDCr4UNs1cKkAobDHXt\nPrL4wYFEy6YjG88Nfrjj+fDtzK7BS1uO27h78/aBAqTj2/v+8dVnzZ49cOUfO54pe49UBqmw\nYQnSneIG6UdO3kidX/TYQKJlU/rElvZ7X5oJn0AOpdY9F75K+/Gqe88WIM3857pVPRMhoO+t\nTj05VeVTu8zXwoZ5SOmHOoobnHpg1t7dsOj/+wckoggCElEEAYkogoBEFEFAIoogIBFFEJCI\nIghIRBEEJKIIAhJRBAGJKIKARBRBQCKKICARRRCQiCIISEQRBCSiCAISUQQBiSiCgEQUQUAi\niiAgEUUQkIgiCEhEEfT/ASf7MZqHh5FnAAAAAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "head(CM)\n",
    "\n",
    "test <- CM \n",
    "\n",
    "test$new <- test$Count/1000\n",
    "\n",
    "head(test)\n",
    "\n",
    "plot <- ggplot(data=test, aes(x=NationalityLong, y=new)) +\n",
    "  geom_bar(stat=\"identity\")+\n",
    "  scale_color_brewer(name='',palette='Set1') + \n",
    "  scale_fill_brewer(palette=\"Paired\")+\n",
    "  theme_fivethirtyeight(base_size = 9, base_family = \"sans\") + \n",
    "  coord_flip() +\n",
    "  theme(legend.position='top', legend.text=element_text(size=6)) + \n",
    "  labs(title = \"Top 10 Migrants to Europe by Nationality\",\n",
    "       subtitle = \"  Shown in Thousands\", caption = \"Source: Frontex\") \n",
    "\n",
    "plot "
   ]
  },
  {
   "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": 15,
   "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": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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KZa1hpVt4tVaWlpo9vs2bMn+h3WVVJSohr+wue5Xo+uyEeM/GhMZyB8PsNjM7t0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\nUZQ5c+aoqrpgwYKwsLBgO2jzml9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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",
    "  labs(title = \"In 2015, migrants and Refugees flocked to Europe by land and sea. \n",
    "\n",
    "Today, most refugees continue to arrive by sea.\",\n",
    "       subtitle = \"Land vs. Sea Routes to Europe by Date\", caption = \"Source: Frontex\")\n",
    "#  ggtitle(\"Land vs. Sea Routes to Europe by Date\") +\n",
    "#  labs(title = caption = \"Source: Frontex\") \n",
    "\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": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "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$Date <- NULL \n",
    "\n",
    "# group the data by route and sum by date column\n",
    "bdr_df <- border_lg %>% \n",
    "  group_by(BorderLocation) %>% \n",
    "  summarise_all(funs(sum))\n",
    "\n",
    "\n",
    "# plot missing persons in the med region \n",
    "pie <- ggplot(bdr_df, aes(x=\"\", y=Count, fill=BorderLocation)) +\n",
    "    geom_bar(width = 1, stat = \"identity\") +\n",
    "    coord_polar(\"y\", start=0) + \n",
    "    theme_fivethirtyeight(base_size = 7, base_family = \"sans\") + \n",
    "    scale_color_brewer(name='',palette='Set1') + \n",
    "    ggtitle('Proportion of Migrants Coming to Europe by Land and Sea')\n",
    "pie\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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ULi72yoAUIqJxfS0p4SFxJ/Z0MNEFI5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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# group the data by Nat and sum by date column\n",
    "nat_route <- flong %>% \n",
    "  group_by(NationalityLong, Route, Date) %>% \n",
    "  summarise(Count = sum(Count)) \n",
    "\n",
    "# apply our date function \n",
    "#nat_route$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": 19,
   "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$NationalityLong %in% c('Syria', 'Iraq'), ]\n",
    "\n",
    "\n",
    "p4 <- ggplot(data=natp, aes(x=Date, y=Count, fill=NationalityLong)) +\n",
    "  geom_bar(alpha = 6/10, stat=\"identity\")+\n",
    "  scale_color_brewer(name='',palette='Set1') + \n",
    "  scale_fill_brewer(palette=\"Dark2\")+\n",
    "  theme_fivethirtyeight(base_size = 7, base_family = \"sans\") + \n",
    "  theme(legend.position='bottom', legend.text=element_text(size=6)) + \n",
    "  ggtitle(\"European Migrants from Iraq and Syria\") +\n",
    "  labs(caption = \"Source: Frontex\") +\n",
    "  facet_grid(NationalityLong ~ .)\n",
    "\n",
    "p4"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Takeaways:  \n",
    "\n",
    "* We notice several waves of migrants coming from Syria to Europe, peaking in 2015\n",
    "* Migrants from Albania mostly came to Europe between 2009 and 2012\n",
    "* Migrants from Iraq seemed to have peaked about the same time as Syrian migrants\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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LNPqdNbzdwV5/odylXvjUb7PpX2X//wF68atzvVX3xIf3Re6e9fPOpbF1L3Hn3K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\nAhJRAgGJKIGARJRA/x8btWFzWkbu5gAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# get rid of values less than one\n",
    "nat_rte_p <- nat_rte_p[nat_rte_p$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",
    "\n",
    "p5 <- ggplot(data=nat_rte_p, aes(x=NationalityLong, y=Count, fill=Route)) +\n",
    "  geom_bar(alpha = 9/10, stat=\"identity\")+\n",
    "#  scale_color_brewer(name='',palette='Set1') + \n",
    "  scale_fill_brewer(palette=\"Dark2\")+\n",
    "  theme_fivethirtyeight(base_size = 11, 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\\nMigrants Coming to Europe\") +\n",
    "  labs(caption = \"Source: Frontex\") \n",
    "#  facet_grid(Route ~ .)\n",
    "\n",
    "p5 #+geom_label_repel()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>NationalityLong</th><th scope=col>Route</th><th scope=col>Count</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>Eritrea                              </td><td>Central Mediterranean                </td><td>112897                               </td></tr>\n",
       "\t<tr><td>Eritrea                              </td><td>Circular Route from Albania to Greece</td><td>    69                               </td></tr>\n",
       "\t<tr><td>Eritrea                              </td><td>Eastern Land Borders                 </td><td>    77                               </td></tr>\n",
       "\t<tr><td>Eritrea                              </td><td>Eastern Mediterranean                </td><td>  7124                               </td></tr>\n",
       "\t<tr><td>Eritrea                              </td><td>Western Balkans                      </td><td>  1110                               </td></tr>\n",
       "\t<tr><td>Eritrea                              </td><td>Western Mediterranean                </td><td>    77                               </td></tr>\n",
       "\t<tr><td>Albania                              </td><td>Central Mediterranean                </td><td>    20                               </td></tr>\n",
       "\t<tr><td>Albania                              </td><td>Circular Route from Albania to Greece</td><td>117647                               </td></tr>\n",
       "\t<tr><td>Albania                              </td><td>Eastern Mediterranean                </td><td>  2887                               </td></tr>\n",
       "\t<tr><td>Albania                              </td><td>Western Balkans                      </td><td>  2131                               </td></tr>\n",
       "\t<tr><td>Iraq                                 </td><td>Black Sea                            </td><td>   537                               </td></tr>\n",
       "\t<tr><td>Iraq                                 </td><td>Central Mediterranean                </td><td>  5365                               </td></tr>\n",
       "\t<tr><td>Iraq                                 </td><td>Circular Route from Albania to Greece</td><td>  1163                               </td></tr>\n",
       "\t<tr><td>Iraq                                 </td><td>Eastern Land Borders                 </td><td>   217                               </td></tr>\n",
       "\t<tr><td>Iraq                                 </td><td>Eastern Mediterranean                </td><td>136118                               </td></tr>\n",
       "\t<tr><td>Iraq                                 </td><td>Western Balkans                      </td><td> 11470                               </td></tr>\n",
       "\t<tr><td>Iraq                                 </td><td>Western Mediterranean                </td><td>     3                               </td></tr>\n",
       "\t<tr><td>Afghanistan                          </td><td>Black Sea                            </td><td>   328                               </td></tr>\n",
       "\t<tr><td>Afghanistan                          </td><td>Central Mediterranean                </td><td>  8609                               </td></tr>\n",
       "\t<tr><td>Afghanistan                          </td><td>Circular Route from Albania to Greece</td><td>  1845                               </td></tr>\n",
       "\t<tr><td>Afghanistan                          </td><td>Eastern Land Borders                 </td><td>  1616                               </td></tr>\n",
       "\t<tr><td>Afghanistan                          </td><td>Eastern Mediterranean                </td><td>343021                               </td></tr>\n",
       "\t<tr><td>Afghanistan                          </td><td>Western Balkans                      </td><td> 81169                               </td></tr>\n",
       "\t<tr><td>Afghanistan                          </td><td>Western Mediterranean                </td><td>     9                               </td></tr>\n",
       "\t<tr><td>Syria                                </td><td>Black Sea                            </td><td>   136                               </td></tr>\n",
       "\t<tr><td>Syria                                </td><td>Central Mediterranean                </td><td> 63071                               </td></tr>\n",
       "\t<tr><td>Syria                                </td><td>Circular Route from Albania to Greece</td><td>    79                               </td></tr>\n",
       "\t<tr><td>Syria                                </td><td>Eastern Land Borders                 </td><td>   417                               </td></tr>\n",
       "\t<tr><td>Syria                                </td><td>Eastern Mediterranean                </td><td>648064                               </td></tr>\n",
       "\t<tr><td>Syria                                </td><td>Western African                      </td><td>     4                               </td></tr>\n",
       "\t<tr><td>Syria                                </td><td>Western Balkans                      </td><td>102080                               </td></tr>\n",
       "\t<tr><td>Syria                                </td><td>Western Mediterranean                </td><td>   170                               </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|lll}\n",
       " NationalityLong & Route & Count\\\\\n",
       "\\hline\n",
       "\t Eritrea                               & Central Mediterranean                 & 112897                               \\\\\n",
       "\t Eritrea                               & Circular Route from Albania to Greece &     69                               \\\\\n",
       "\t Eritrea                               & Eastern Land Borders                  &     77                               \\\\\n",
       "\t Eritrea                               & Eastern Mediterranean                 &   7124                               \\\\\n",
       "\t Eritrea                               & Western Balkans                       &   1110                               \\\\\n",
       "\t Eritrea                               & Western Mediterranean                 &     77                               \\\\\n",
       "\t Albania                               & Central Mediterranean                 &     20                               \\\\\n",
       "\t Albania                               & Circular Route from Albania to Greece & 117647                               \\\\\n",
       "\t Albania                               & Eastern Mediterranean                 &   2887                               \\\\\n",
       "\t Albania                               & Western Balkans                       &   2131                               \\\\\n",
       "\t Iraq                                  & Black Sea                             &    537                               \\\\\n",
       "\t Iraq                                  & Central Mediterranean                 &   5365                               \\\\\n",
       "\t Iraq                                  & Circular Route from Albania to Greece &   1163                               \\\\\n",
       "\t Iraq                                  & Eastern Land Borders                  &    217                               \\\\\n",
       "\t Iraq                                  & Eastern Mediterranean                 & 136118                               \\\\\n",
       "\t Iraq                                  & Western Balkans                       &  11470                               \\\\\n",
       "\t Iraq                                  & Western Mediterranean                 &      3                               \\\\\n",
       "\t Afghanistan                           & Black Sea                             &    328                               \\\\\n",
       "\t Afghanistan                           & Central Mediterranean                 &   8609                               \\\\\n",
       "\t Afghanistan                           & Circular Route from Albania to Greece &   1845                               \\\\\n",
       "\t Afghanistan                           & Eastern Land Borders                  &   1616                               \\\\\n",
       "\t Afghanistan                           & Eastern Mediterranean                 & 343021                               \\\\\n",
       "\t Afghanistan                           & Western Balkans                       &  81169                               \\\\\n",
       "\t Afghanistan                           & Western Mediterranean                 &      9                               \\\\\n",
       "\t Syria                                 & Black Sea                             &    136                               \\\\\n",
       "\t Syria                                 & Central Mediterranean                 &  63071                               \\\\\n",
       "\t Syria                                 & Circular Route from Albania to Greece &     79                               \\\\\n",
       "\t Syria                                 & Eastern Land Borders                  &    417                               \\\\\n",
       "\t Syria                                 & Eastern Mediterranean                 & 648064                               \\\\\n",
       "\t Syria                                 & Western African                       &      4                               \\\\\n",
       "\t Syria                                 & Western Balkans                       & 102080                               \\\\\n",
       "\t Syria                                 & Western Mediterranean                 &    170                               \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "NationalityLong | Route | Count | \n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| Eritrea                               | Central Mediterranean                 | 112897                                | \n",
       "| Eritrea                               | Circular Route from Albania to Greece |     69                                | \n",
       "| Eritrea                               | Eastern Land Borders                  |     77                                | \n",
       "| Eritrea                               | Eastern Mediterranean                 |   7124                                | \n",
       "| Eritrea                               | Western Balkans                       |   1110                                | \n",
       "| Eritrea                               | Western Mediterranean                 |     77                                | \n",
       "| Albania                               | Central Mediterranean                 |     20                                | \n",
       "| Albania                               | Circular Route from Albania to Greece | 117647                                | \n",
       "| Albania                               | Eastern Mediterranean                 |   2887                                | \n",
       "| Albania                               | Western Balkans                       |   2131                                | \n",
       "| Iraq                                  | Black Sea                             |    537                                | \n",
       "| Iraq                                  | Central Mediterranean                 |   5365                                | \n",
       "| Iraq                                  | Circular Route from Albania to Greece |   1163                                | \n",
       "| Iraq                                  | Eastern Land Borders                  |    217                                | \n",
       "| Iraq                                  | Eastern Mediterranean                 | 136118                                | \n",
       "| Iraq                                  | Western Balkans                       |  11470                                | \n",
       "| Iraq                                  | Western Mediterranean                 |      3                                | \n",
       "| Afghanistan                           | Black Sea                             |    328                                | \n",
       "| Afghanistan                           | Central Mediterranean                 |   8609                                | \n",
       "| Afghanistan                           | Circular Route from Albania to Greece |   1845                                | \n",
       "| Afghanistan                           | Eastern Land Borders                  |   1616                                | \n",
       "| Afghanistan                           | Eastern Mediterranean                 | 343021                                | \n",
       "| Afghanistan                           | Western Balkans                       |  81169                                | \n",
       "| Afghanistan                           | Western Mediterranean                 |      9                                | \n",
       "| Syria                                 | Black Sea                             |    136                                | \n",
       "| Syria                                 | Central Mediterranean                 |  63071                                | \n",
       "| Syria                                 | Circular Route from Albania to Greece |     79                                | \n",
       "| Syria                                 | Eastern Land Borders                  |    417                                | \n",
       "| Syria                                 | Eastern Mediterranean                 | 648064                                | \n",
       "| Syria                                 | Western African                       |      4                                | \n",
       "| Syria                                 | Western Balkans                       | 102080                                | \n",
       "| Syria                                 | Western Mediterranean                 |    170                                | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "   NationalityLong Route                                 Count \n",
       "1  Eritrea         Central Mediterranean                 112897\n",
       "2  Eritrea         Circular Route from Albania to Greece     69\n",
       "3  Eritrea         Eastern Land Borders                      77\n",
       "4  Eritrea         Eastern Mediterranean                   7124\n",
       "5  Eritrea         Western Balkans                         1110\n",
       "6  Eritrea         Western Mediterranean                     77\n",
       "7  Albania         Central Mediterranean                     20\n",
       "8  Albania         Circular Route from Albania to Greece 117647\n",
       "9  Albania         Eastern Mediterranean                   2887\n",
       "10 Albania         Western Balkans                         2131\n",
       "11 Iraq            Black Sea                                537\n",
       "12 Iraq            Central Mediterranean                   5365\n",
       "13 Iraq            Circular Route from Albania to Greece   1163\n",
       "14 Iraq            Eastern Land Borders                     217\n",
       "15 Iraq            Eastern Mediterranean                 136118\n",
       "16 Iraq            Western Balkans                        11470\n",
       "17 Iraq            Western Mediterranean                      3\n",
       "18 Afghanistan     Black Sea                                328\n",
       "19 Afghanistan     Central Mediterranean                   8609\n",
       "20 Afghanistan     Circular Route from Albania to Greece   1845\n",
       "21 Afghanistan     Eastern Land Borders                    1616\n",
       "22 Afghanistan     Eastern Mediterranean                 343021\n",
       "23 Afghanistan     Western Balkans                        81169\n",
       "24 Afghanistan     Western Mediterranean                      9\n",
       "25 Syria           Black Sea                                136\n",
       "26 Syria           Central Mediterranean                  63071\n",
       "27 Syria           Circular Route from Albania to Greece     79\n",
       "28 Syria           Eastern Land Borders                     417\n",
       "29 Syria           Eastern Mediterranean                 648064\n",
       "30 Syria           Western African                            4\n",
       "31 Syria           Western Balkans                       102080\n",
       "32 Syria           Western Mediterranean                    170"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# group the data by Nat and sum by date column\n",
    "x <- nat_rte_p %>% \n",
    "  group_by(NationalityLong, Route) %>% \n",
    "  summarise(Count = sum(Count))\n",
    "\n",
    "\n",
    "x"
   ]
  },
  {
   "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": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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spVY5DWsNjsLqNInx/kPDbI+CrxiZQt\nO8FkLpJIrEjn9niCNdJMwRrJTZjWSFvNj8UP32b8y4Y91Y6yE7ZIB2ta363fuju7xxOINFMg\nkpswiZThYMe5lT50A5FmCkRyE0aRzi196IwP3UCkmQKR3IRRJJ+ASDMFIrmJtEi4+psArv4m\nAZECBUQiAZGCRMqYg3JRswQikYBIQQIikYBIJCASRFIDkUiEXqSZF6aASCQgEok5FIkpXi1a\nOkJuHmuo/cCr++wBB+gh5QGRSEAkEnMtkshoOOpZOkK0EJf6vLyl4Tu+aGiw2c6RyGVL7G13\nZE1YD/Kp2Y+sUJHbJbqzQkhPKBhXi6Q6dM7oM8a0jKtg2LiuOwQX8YTuCFxcM0ZoDWcqkpXR\n4F06QuZAWDvNZjX8+XUnJjMZEdlsiYvOrAnrQT41/5MVKhy7rO6sEDzSKJQileeiehA1ZipS\nilNKR8gciJS502y2gE9c+XmLIyNCbiWdWRO53VY/okKFY5fVnRWCRxqFUiQ/rq0vmYQxpGVc\nBQNGv+4QXEQrjWJpgn/7sLxI27N0hNVi3qiVHXGan2/gyxODix05EpktZ9ZEdneacVmhwtHS\n6q5oXBmwRiKBNRKJOVwjnV3TWPOlmN4HPUtHWC32r3vF3Llv65M/8E/raz505EhktpxZE5nd\n9VvlGumKs6XVnWfkEIkERCJRtl9/6/41uRuIRAIikSibSLMsHTEHQCQSEIlE6P9BduZAJBIQ\niUSkRcLV3wQgEgmIFCggEgmIFCRShpXm+g9zwkxjgkgkIFKQgEgkIBIJiASR1EAkEhAJIqmB\nSCTCLZJVnYJNX5jCG4hEAiKRCLVIsjqFTL1wFqYQ2xbpKQUTcyiSalwVfcb4TA+dK24ZN3WH\n4CLeqzsCF4PGHVrDYpNZp0h2dQqReuEsTCG2LbyqUcyZSOW5Ih+EkGKTWaNImeoUIvXCWZhC\nbIsWQwoG51Ak1bgqeozBmR46V/QbfbpDcBHv1h2Bi15jgNaw2GzWKFKmOoVIvXCmWIhtT7BG\nIoE1Eokwr5Ey1SlE6oUzxUJsex4OkUhAJBJhFmmWQCQSEIkERIJIaiASCYgEkdRAJBIQCSKp\ngUgkIi0S0igIQCQSkRZJVM1SpsnOjJnHBJFIQKQgAZFIQCQSEAkiqYFIJCpIpFLrUkAkEhCJ\nROhFYrFYzPp6oORIIBIJiEQi/CKJh73tor7F3nZR4IKaRjFXIs38YnykUZBAGoX/MBOrUoW4\nCfJFWeCCmkYxVyKV53p8EEqKTuSyKaMYnyWlSElZ4CKXRnFNxZyJpBxVSY8xMPOD54Y+46ru\nEFzEu3VH4KLX6Kc1VE5kjTD7QdalkAUuqGkUWCMRwBqJRPjXSDETIZJVl0IWuKCmUUAkAhCJ\nROhFmjkQiQREIgGRIJIaiEQCIkEkNRCJBESCSGogEolIi4Q0CgIQiUSkRXrJ5m45IH1UQSQS\nEClIQCQSEIkERIJIaiASCYgEkdRAJBKVJFKJoUAkEhCJREWJxPa2iwyKPzb8wg4rpWCq/CKp\nwhH0G5OebcrMiDGsOwQX8V7dEbgYMsZoDYvO3nJp4g1jF2UGxepvvpVheVWjKLdI5blQHwSZ\norO3bJ54wlhSZlDMvzNqp1H0qyi/SMpwLLqNPs82ZabX6NUdgot4XHcELhLGVVrDorO3bJ54\nwsxYRAbFI9900qpRYI3kDdZIJCprjcRlBsXZuhchkl9AJBKVJJITiOQXEIkERIJIaiASiUoV\niQBEIgGRSEAkiKQGIpGItEhIoyAAkUhEWqSXqJQtJohEAiIFCYhEAiKRgEgQSQ1EIgGRIJIa\niEQi3CKZg3+8rehtyT2ASCQgEomwi3Rsd6qreXNz19HWjYfExtO3+LoL1obnwRCJBEQiEXKR\njq5O89rT/ELdg13jH4iN9z+7sVlsWK8T0yg8Kc8F9iAKFJ3L5dNmmsHf3/8xrx7mo9VnWxp+\nJzYGXvjohNiwXk9eVUEXSdmNn8SN3rKNRSRhJHSH4MKI647ARQ/1bSo6l8unzXSDTzbGa87w\nU7VtqZ4lYoPHtozLDS9wakcCp3YkQn5qx3lPw0VzRXTlYE3ru9Ya6Qp/+wUuN7yASCQgEolw\nizQrIBIJiEQCIkEkNRCJBESCSGogEgmIBJHUQCQSkRYJaRQEIBKJSItU5POntGS92RdFcgCR\nSECkIAGRSEAkEhAJIqmBSCQqS6SOUhpDJBIQiUR4RWKxJ1/PhXCg9GAgEgmIRCLEIvEfFnBR\nfILxN44zbiVSsF1viR1HWtq8O4BIJCASiRCLxBb/tSw+wd571QzDSqRg9o7OkSrRZqpbhb8i\nKYeiYhhxX/rxkXjwQjLfJt0RuCC/TUXnc7nEmXZgUXyCbd9oPrMSKZi9I2WHNZVQ4a9IyqGo\nxI0eX/rxkR6jW3cILoy47ghcdFN/csr5rAMxsCg+wdI7zjNuJVKwtNxR4i2LcWqnAKd2JEJ8\namc9iOITjA/VM24lUtRv3S13QCTfgEgkwivSrIFIJCASCYgEkdRAJBIQCSKpgUgkIBJEUgOR\nSERaJKRREIBIJCIt0kv5nymzwK+YIBIJiBQkIBIJiEQCIkEkNRCJBESCSGogEomQi8Q+Nv8c\nyN93YPqmLiASCYhEIuwibbrNGeMdjXsYv9S4oYOzve1MJld4ApFIQCQSYRepc58l0mOdnYzX\nG6lWzi5yO5fCwuvqb99E8uHyYQGu/iaBq7/9hvFd35sizb8zyng1Yws5S3I7l8LCKx/JN5F8\nSGiRIQUv+Qf5SCTCm49kj36z1RRplfWJtKI3dUpmUIhcCk9wakcCp3Ykwn5qx/kxU6QvG/ZU\n8/NNz5yWIonkCs9jIRIJiEQi5CLZHOw4t7LkgyASCYhEojJEOrf0oTMlHwSRSEAkEpUh0oyA\nSCQgEgmIBJHUQCQSkRYJaRQEIBKJSItUkMU3p581NCASCYgUJCASCYhEAiJBJDUQiQREgkhq\nIBKJMInEYi1rDhYdnk23UwVEIgGRSIRKJJ66sPydbLkJkTth50ycr3/RzqMQRSnaNuz37g4i\nkYBIJEIlksnZXLkJkTth50ys/OZbO49CFKXovC3TKJJXVZBEUvbgO3Gjt7wDepMwErpDcGHE\ndUfgoof6NhWd3WXzyBwq/dtHcuUmRO6EnTORy6MQRSmy1SiUF7STRPLhCvsSQBoFCaRRzApz\nqMHFuXITq+QnktghPpFEHoUoSlHCTfRxaucBTu1IhOrULhZb9UFbttyEyJ2wcybO1e9mMo/C\nKkoBkXwEIpEIk0gFzCh3wgFEIgGRSIRYpBnlTjiASCQgEokQizRbIBIJiEQCIkEkNRCJRKRF\nQhoFAYhEItIiFVZCmvYjqayfTRCJBEQKEhCJBEQiAZEgkhqIRAIiQSQ1EIlEiEU61lD7gXsv\nK60aBUTyAiKRCLFIi4YGm3lX8+bmLvZq0/ZtzftkhgUvqRoFRPICIpEIsUjPrzsxyWtP8wt1\nLD7C4rerZIaFsxpFsl9FiSIp+/KJbqOvHMOUQq/RqzsEF/G47ghcJIyrtIbFprM+kSau/LyF\nVw/z0Wp5kSqTGRbOahSThpLSRFL3BQCJYtNZn0jLE4OLec0ZfqrWFsnOsCipGgVO7bzAqR2J\nEJ/afVpf86FYI12xRbIzLEqqRgGRvIBIJEIs0myBSCQgEgmIBJHUQCQSEAkiqYFIJCASRFID\nkUhEWiSkURCASCQiLZJndaSyxwSRSECkIAGRSEAkEhAJIqmBSCQgEkRSA5FIhFqk0ViMxWKj\n2ecHHI/eQCQSEIlEqEWSw4v/RX0KJmtRkNMoIBIBiESiYkSy6lMwWYuCnEbhKZIPl9eXBtIo\nSCCNwneERSm7PgWTtSjIaRSeIpXnwnoQJRQzWSfm8PNGO+36FMyuRZFLo0gpmPIWSXX4nNBv\nTJZ9TA9GjGHdIbiI9+qOwMWQMUZrqJjJOjGH37/ulaxIshYFNY0CayQCWCORCPsaaRZAJBIQ\niQREgkhqIBIJiASR1EAkEhAJIqmBSCQiLRLSKAhAJBKRFunevXtB+jjiEIkIRAoSEIkERCIB\nkSCSGohEAiJBJDUQiUSIRUrta6jdNJS3SwRDT6OASAQgEokQi3Rkd5ofbpU5E3Y9Cvbylobv\n6GkUEIkARCIRYpFWyt9eyxoUsh4FO8XP1TjTKK6p8BBJeewc0WMM6BhWRZ9xVXcILuLduiNw\n0Wv00xoWm876RFo4yh9lds6EnZbEhvn4AnoahVqk8lxVDyJGsemsT6TWX3J+2c6ZyIh0mp9v\ncKRRpKcUTHiIpDp2rugzxnUMq+KWcVN3CC7ivbojcDFo3KE1LDad9Yl087mm9UeXc7sGhRRp\n39Ynf6CnUWCNRABrJBIhXiPNFohEAiKRgEgQSQ1EIgGRIJIaiEQCIkEkNRCJRKRFQhoFAYhE\nAiIFCohEAiIFiZTxUmGlsVyxMU0xQSQSEClIQCQSEIlEJYnUUVpziEQCIpEIqUgs9uTrrvEZ\nOYNCAJFIQCQSYRWJ/7DATqDglxo3dMgyFLvsqhRijycQiQREIhFWkdjiv7YTKHi9kWq1y1DY\nVSnEHovkkIJBlUiqA+eQHmNQ08hF6Tf6dIfgIt6tOwIXvcYArWHRKV02eVyj2gkU1YwttMtQ\n2FUpxB4LjzQKhUjluaQeRA/llC47YlQ7gWJFb+qULEORtvMpxB6L9ISCcZVIqgPnkD5jTNPI\nRRk2rusOwUU8oTsCF9eMEVpD5ZQuO2JUO4HifNMzp0UZivqttkhijydYI5HAGolESNdIfgCR\nSEAkEhAJIqmBSCQgEkRSA5FIQCSIpAYikYi0SLj6mwBEIgGRAgVEIgGRgsT0p3YSXTFBJBIQ\nKUhAJBIQiQREgkhqIBKJShKpxFAgEgmIRKKiRGJ722VqhZVL4QlEIgGRSFSWSBft1Aorl8Ii\neUPBdYVIquPmkoQxpGvoYgwY/bpDcBHv1h2Bi6vGIK1h0dlbNk88YSxpp1akOKkaRXGRynNF\nPYggRWdv2TzxhDHurE1hkh5TcEchkuq4ueSqMapr6GLcNIZ0h+AintAdgYtrxi1aw6Kzt2ye\neGKJ5KhN4QXWSCSwRiJRSWukEoFIJCASCYgEkdRAJBIQCSKpgUgkIBJEUgORSERaJFz9TQAi\nkYBIgQIikYBIQSJlBK3MGEQiApGCBEQiAZFIQCSIpAYikaggkdhhzg/LcEh1KSASCYhEopJE\n2sb5NmaXqCBdIgSRCEAkEpUk0sHe/oPMLlEhw0oNK7ipFEl15NyRMG7oGbg4g8aA7hBcxHt0\nR+Ciz7hOa1h0+pZNFC9Y17vvdTG7RAUpjUIlUnmuqQeRo+j0LZsoXrD0CzvSzM6jIKVRqETy\n49L60kEaBQmkUcwljL/expmdR4E1kl9gjUSigtZIpQKRSEAkEhAJIqmBSCQgEkRSA5FIQCSI\npAYikYi0SLj6mwBEIgGRAgVEIgGRgoR5ameSLS0WgBM7iEQEIgUJiEQCIpEIrUgds+4BIpGA\nSCRCKNLYznVrdiZz4+bdDpKQPpEBIpGASCRCKNLuw5y/dZLt+lPjhg5+vv5FS6Snb/F1F5o3\nN3cxzva2X7Je8QQikYBIJEIo0rJhOW69kWrlK7/51hLp/c9ubK49zS/UmSJdlK9YpG4ruKUQ\nSXXcXNJrDOsauhhDxjXdIbiI9+iOwEW/cYPWsNi0Lr9IS02Rbn3PeDVjC/n8O6OWSAMvfHSi\nepiPVpsiJeUrFl5pFEVFKs8V9SCCFJvWGk7tDqX5m8dZekVv6lTmE4nHtozXnOGnasV13+IV\ni/SoghGFSKrj5pKrxm1dQxfjujGoOwQX8R7dEbgYMIZpDYtNaw2/bNjR1LRzqn7ryaZnTvNz\n9buFSG+/wLvMNdIVIdJ56xVPsEYigTUSiRCukfwCIpGASCQgEkRSA5FIQCSIpAYikYBIEEkN\nRCIRaZFw9TcBiEQCIgUKiEQCIgUJeWp3756j3Jj28zuIRAIiBQmIRAIikYBIEEkNRCIBkSCS\nGohEIrwiOaq4zAyIRAIikQixSKKKS5dIQtrbLr5eao4dsf6IJ1YbQhqFQiQ/rq4vEaRRkEAa\nhY/IKi4yCekiF19rv+RtNdYf64nVhpBGoRCpPJfVg2hRdD6XT52CgUUVF5mElOTia/UI5+KP\n9cRqg0+k2YNPJBIh/kQSVVzsJCQuvj52gb/4qPlnlfXEswOskUhgjUQixGskUcXFTkKSyUgX\nm9Ydsf6IJ54dQCQSEIlEeEWaNRCJBEQiAZEgkhqIRAIiQSQ1EIlEpEXC1d8EIBIJiBQoIBIJ\niBQkMqd291xneJmzvPLHBJFIQKQgAZFIQCQSEAkiqYFIJCASRFIDkUiEXaSndrhCoFZ2gUgk\nIBKJkItktG0aN0PoaNzDuCjmwva2M/5O7fpXxMuEe3+rRPLjntClgXt/k8C9v/3mzYGT7WYI\nj3V22mVe2EXz6dGr1+eJl0lpFMVFKs919SBSFJvKWkVKLmNsnRmCKO4iirmwpPm0fcvLMqzU\nsIKbniKpjp4bEsaN8g+qZtAY0B2Ci3iP7ghc9BnXaQ2LzWWtIn1+kPPYIOOrrE8kUcxFlKZY\nNDhECAtrJBJYI5EI9xppq/lB+eHbjH/ZsKdaFnMRIrVt3FHziefBEIkERCIRbpEyHOw4t7Lk\ngyASCYhEojJEOrf0oTMlHwSRSEAkEpUh0oyASCQgEolIi4SrvwlAJBIQKVBAJBIQKUhkTu1e\nmwZdMUEkEhApSEAkEhCJBESCSGogEgmIBJHUQCQSoRYpta+hdtOQ3KYmTziOhkgUIBKJUIt0\nZHeaH26VlwWZ/x1paZO5FLk0ijEFdxQiqY6bS64ao7qGLsZNY0h3CC7iCd0RuLhm3KI1LDaZ\ndYq0ciATghCpc6RK5lKUlkYxnUjluaIeRJBik1mnSAtH+aPMciglREpxO5cim0aRvKHgukIk\n1XFzScIY0jV0MQaMft0huIh3647AxVVjkNaw2GTWKVLrLzm/zPi80U4hkhWMyKUoLY0CayQl\nWElFhjoAACAASURBVCORCPUa6eZzTeuPLuf7172SFUnkUpSWRgGRlEAkEqEWaXZAJBIQiQRE\ngkhqIBIJiASR1EAkEpEWCVd/E4BIJCBSoIBIJCBSkEgZd6c7q9N2WmcBkUhApCABkUhAJBIQ\nCSKpgUgkIBJEUgORSIRepGMNtR9kn5QUDEQiAZFIhF6kRUODzfbVQfUv2oUoREKFRXpCwXgR\nkVTHzDV9xpjO4adj2LiuOwQX8YTuCFxcM0ZoDYtNZN0iPb/uxKQUaeU339qFKERChYVHGsX0\nIpXnanoQUYpNZN0iTVz5eYtMpBAlKUQGhUiosEgOKRgsIpLqmLmmxxjUOfx09Bt9ukNwEe/W\nHYGLXmOA1rDYRNYt0vLE4GKZSCE+kUQGBSOFhTUSCayRSIR+jfRpfc2HMpHiXP1uuxAFRPIR\niEQi9CLNHIhEAiKRgEgQSQ1EIgGRIJIaiEQi0iLh6m8CEIkERAoUEIkERAoSKSNwZ3YQiQZE\nChIQiQREIgGRIJIaiEQCIkEkNRCJRHhFysufcEG6sgEiEYBIJMIrksifEMUncmUoOhr3ZDIp\nRJv0lIKJ6UVSHTLn9BnjWsefhlvGTd0huIj36o7AxaBxh9aw2HzWJpLInxDFJ3JlKB7r7Mxk\nUog2HmkU04pUnovpQVQpNp+1iSTyJ0TxiVwZCkcmhWjjkUYxrUh+XFM/Y5BGQQJpFD4i8idE\n8YlcGYpV1idSJpPCC6yRSGCNRCK8aySRPyGKT+TKUHzZsKc6m0nhBUQiAZFIhFek6TjYcW4l\nuTFEIgGRSFSWSOeWPnSG3BgikYBIJCpLpJKASCQgEgmIBJHUQCQSkRYJaRQEIBKJSIsUoI8i\nG4hEAiIFCYhEAiKRgEgQSQ1EIgGRIJIaiEQi5CKl9jXUbhqaWRAQiQREIhFykY7sTvPDrZy1\nbdjvKEQhtgQpBVMFIqnalot+Y1J3CIWMGMO6Q3AR79UdgYshY4zWsNhU1ivSSvkbbNZ5e56j\nEIXYsigpjaI8V9GDiFNsKusVaeEof5TZ5SdyhSjElkXymooCkZRty0SPMaA7hEL6jKu6Q3AR\n79YdgYteo5/WsNhU1itS6y85v2yXn8gVohBbnmCNRAJrJBIhXyPdfK5p/dHlUp9cIQqx5Xks\nRCIBkUiEXKTZAJFIQCQSEAkiqYFIJCASRFIDkUhAJIikBiKRiLRISKMgAJFIRFqku3eD9pkE\nkUhApCABkUhAJBIQCSKpgUgkKlWkDu8mEIkERCJRESKxWCxWuMv7KIhEAiKRqAyRrAdRieLZ\nQd7E2rY2XWG7xqydquvZp1wi+XE5/exAGgUJpFHMDcxEVqL49Ffd29kpfq6eVI2iUKTyXEcP\nIk3RSVw2XYojYhCVKEY3Hv6cDfPxajuNol+FSyRl67LQbfTpDqGQXqNXdwgu4nHdEbhIGFdp\nDZWTWDMiBlGJgreunWSn+R/WsrTnUVgjkcAaiURlrJFiJqISBT++g7OdWxov12+943UURCIB\nkUhUhEgCUYkiuessOSKIRAIikagckUQlikMtKd5KPAAikYBIJCpHpJKBSCQgEgmIBJHUQCQS\nkRYJaRQEIBKJSIt07949+0NJdywZIBIJiBQkIBIJiEQCIkEkNRCJBESCSGogEonQiTS2c92a\nnb7MNohEAiKRCJ1Iuw9z/tZJWXni1abt25r3XWrc0MHZ3vau5s3NXeJBlKTwBCKRgEgkQifS\nsmHrUVaeiI+w+O2qeiPVytlFXnuaX6gTD6IkhYVHGkVOpPJcQQ9AYNIolpoi3fpeVp4Qo7Nq\nxhZyluTVw3y0WjyIkhQWyasqHCIp25WRuNGrO4RCEkZCdwgujLjuCFz0UN+mYhO77Kd2h9L8\nzeO5yhOcrehNnbI2as7wU7XigRFTzXFqRwCndiRCd2o3tqOpaedUrvIEZ+ebnjltbVjLoyvi\nASL5CEQiETqR/AMikYBIJCASRFIDkUhAJIikBiKRgEgQSQ1EIhFpkZBGQQAikYi0SEFJ58sB\nkUhApCABkUhAJBIQCSKpgUgkwi4SoepEMSASCYhEIsQiiRoUTAZwwLH/QJH2hUAkEhCJRJhF\nEg+7WNuG/ea2zJ8QhSi4SLLwBCKRgEgkwiySVYPC/K/z9jzzi8yfkIUoRJKFxVS3ClskZZsy\nYxhx3SEUEg9eSObbpDsCF+S3qeh0Lpc3049sipQS53cyf0IWohBJFhZTCRW2SMo2ZSZu9OgO\noZAeo1t3CC6MuO4IXHRTf3LK6awFKVJaXOrNZBKFLETBRZKFJzi1I4FTOxJhPrWzalDUb7VF\nkvkTViEKxkWShefxEIkERCIRYpGmoaRgIBIJiESiskSiFqIQQCQSEIlEZYlUEhCJBEQiAZEg\nkhqIRCLSIiGNggBEIhFpke7evas7iAIgEgmIFCQgEgmIRAIiBQqIRAIiBQmIRAIikQi7SLMo\nTgGRSEAkEmEXSRanyNWg6GjcY6dUeB4KkUhAJBJhF0kWp8jVoHiss9NOqbD2e1z9bYrkw3W/\nfoKrv0ng6m/fkcUpcjUo5t8ZtVMqrFc98pFMkXzIRPET5CORQD6S78jiFLkaFKusTyTx1PNQ\nnNqRwKkdibCf2sniFLkaFF827KmWKRWeh0IkEhCJRNhFKuRgx7mVxKYQiQREIlFpIp1b+tAZ\nYlOIRAIikag0kUoAIpGASCQgUqCASCQgUpBAGgUJiEQi0iIFLKuPQyQiEClIQCQSEIkERAoU\nEIkERPJmFuUlSgQikYBIJLSLVJgHwfK2ntrBed2zY9OUmGCxWFPbdLEwajkKiEQCIpHQLpLM\ng7jUuKGDizwItovtbRflJMyejbZN43IP45eaY0fkfquZ+Wr624fkYbIEhXW/1Ze3NHxn3XbV\naus5MkQiAZFIaBdJ5kHUG6lWLvIgTA8uynISZs9vDpxsl3sYr/2St70j9lvNRC2KM/IwWYLC\namdu1TC7bcrsNnlVhSWSskH5iRu9ukMoJGEkdIfgwojrjsBFD/VtmiuR7DwIxhZm6kqwpCwn\nwXhyGWPr5B7Gq0e4vd9qZv1/doU8TJagSDGxtYDZbS28y7r4cAG9nyCNggTSKNzIPIgVvalT\nUg9RXkKUk2D884OcxwaZfOGxC/zFarnf/j9VJQ+zSlDMG+1k1tb5Bma3nfQaGad2JHBqR0L7\nqZ3Mgzjf9MxpqYcoLyHKSTC+1eD8w7dtdS42rTti77dF4g/Kw6wSFPvXvWK227f1yR+Y3dZz\nZIhEAiKR0C7S7JlpBBCJBEQiUQEilVSCwgFEIgGRSFSASDMFIpGASCQgUqCASCQgUpBAGgUJ\niEQi0iK99FLQMvsgEgmIFCQgEgmIRAIiBQqIRAIiBQmIRAIikQi5SKOxGIvFRmcUC0QiAZFI\nhFwkzrOX3olcizeOi8yKZwd5k+f3BZFIQCQSFSTSRc7ee1UmZHz6q+7t1mvJfhVCJGWLstNt\n9OkOoZBeo1d3CC7icd0RuEgYV2kNFfNYL8KilMy12L6Ri8yK0Y2HP7demzSUWCKpWwDgM4p5\nrBczAJlDYW6md5wXmRW8da1nFgVO7Wjg1I5ERZzayRwKa3Oo/qyVWcGP7/A+ECKRgEgkwi/S\ndCR3nfVuBJFIQCQSlSnSoZaUdyOIRAIikahMkUhAJBIQiQREChQQiQREChJIoyABkUhEWqR7\nSOzzBiKRgEiBAiKRgEhBAiKRgEgkIFKggEgkINJsBoq1rDnoHPVA/quxWIkdQiQSEIlEiETi\nqQvLnQkTTNalEBUqRBhi62jrxkNdzZubuzw7hEgkIBKJEIlkctaZMMFkXQpRucJ6dZvYerBr\n/IPa0/xCnXWMRxqFKZIPF9D7CdIoSCCNYjYi8fRvH3EmTNh1KUSFChGG2Drb0vC76mE+Wm0d\n45FGYYpUnkvnAcgQAJH44GJnwoR9wbeoXCHCEFttqZ4lNWf4qVpxUErBlCWSqoEG+o1J3SEU\nMmIM6w7BRbxXdwQuhowxWkP9IsViqz5wJkzYG6JChQhDbB2saX3XWiNd8ewQayQSWCORCM8a\nyXcgEgmIRAIiBQqIRAIiBQmIRAIikYBIgQIikYBIQQJpFCQgEolIi3QvaB9IEIkGRAoSEIkE\nRCIBkQIFRCIBkYIERCIBkUhUhEhjO9et2ZnMi4QQFkQiAZFIVIRIuw9z/tZJ1rZhv0ylOF//\nIkTyC4hEoiJEWjZsPbLO2/NkUsXKb76VYSWvqTBFUr6ugR5jQHcIhfQZV3WH4CLerTsCF71G\nP61hsUkcBJGWmiLd+j6XVDH/zqgMyzONojxXzgOQpdgkDoJIuw+l+ZvHc0kV2U+k9JSCCVMk\n1es66DPGdYdQyC3jpu4QXMR7dUfgYtC4Q2tYbBIHQaSxHU1NO6dySRXn6ndjjeQXWCORqIg1\n0syASCQgEgmIFCggEgmIFCQgEgmIRAIiBQqIRAIiBQmkUZCASCQgUqCASCQgUpBIGYFLkIVI\nNCBSkIBIJCASCYgUKCASCYg0C4411H6QX4FilgFAJBIQiUR4RFo0NNhsjnapcUOHqEextz1X\nh0LsFDUoRIEK8dQTiEQCIpEIj0jPrzsxaY5Wb6RaRT2Ki5k6FOZrYqeoQSEKVIinFskhBYOm\nSKrXddBjDOoOoZB+o093CC7i3bojcNFrDNAaahdp4srPW8zRqhlbKOpRJB11KMROUYNC5FKI\npxYeaRQoRgHKjnaRlicGF5ujrehNnZJ3z3fUoRA7RQ0KsUM8tUhPKBg3RVK9roM+Y0x3CIUM\nG9d1h+AintAdgYtrxgitoXaRPq2v+dAc7XzTM6dtkew6FLFYTOwUNSjEK+KpJ1gjkcAaiUR4\n1ki+A5FIQCQSEClQQCQSEClIQCQSEIkERAoUEIkERAoSuPqbBEQiAZECBUQiAZGCRMq4qzsE\nFxCJBEQKEhCJBEQiAZECBUQiAZF8JLWvoXbTdJcATpNqMX0HEIkCRCIRXpGO7E7zw63ODIq9\n7R2Ne5gZkcyv8AIikYBIJMIr0kr5OzdHBsVF/lhnpyWSzK8wSd5QcN24q3pZCwljSHcIhQwY\n/bpDcBHv1h2Bi6vGIK1hsfmsTaSFo/xRxpwZFElZhsIuSWHhkUZxtzwXzgOQo9h81iZS6y85\nv8zyMyhWyU8kmV9hkh5TcMe4q3pZC1eNUd0hFHLTGNIdgot4QncELq4Zt2gNi81nbSLdfK5p\n/dHlPC+D4suGPdWZkhSeHWCNRAJrJBLhXSNNx8GOcyvJjSESCYhEorJEOrf0oTPkxhCJBEQi\nUVkilQREIgGRSECkQAGRSECkIIGrv0lAJBIQKVBAJBIQKUiYp3Z3g3ZyB5FIQKQgAZFIQCQS\nEClQQCQSEMk3mGujZCASCYhEIswiycIUL29p+E7kTYhCFLmSFJ5AJBIQiUSYRZKFKU7xczUi\nb0IUosiVpLBIDSu4aYmkaqCBhHFDdwiFDBoDukNwEe/RHYGLPuM6raFqRmsgW4OCDfPxBSJv\nQhaiyJaksPBKo7iLRApQZlQzWgPZGhTsND/fIPImxP3zcyUpLNKjCkYskVQNNHDVuK07hEKu\nG4O6Q3AR79EdgYsBY5jWUDWjNZCtQcH2bX3yB5E3IfTJlaTwBGskElgjkQjrGskHIBIJiEQC\nIgUKiEQCIgUJiEQCIpGASIECIpGASEECV3+TgEgkIFKggEgkIFKQSBkvvaQ7hkIgEgmIFCQg\nEgmIRAIiBQqIRAIi+c+xhtoPsk9EMPRqFBCJAEQiEXqRFg0NNtsJFXvbRU4FvRoFRCIAkUiE\nXqTn152YtBMqLsqcCkc1itRtBbdMkVSv66DXGNYdQiFDxjXdIbiI9+iOwEW/cYPWsNhE1i3S\nxJWft9gJFUmZU0GvRvHSS+W5ch6ALMUmsm6RlicGF9sJFVzmVDirUaiuZx8xRfLjAno/QRoF\nCaRR+M+n9TUfypIUlkhWTgW9GgXWSASwRiIR+jXSzIFIJCASCYgUKCASCYgUJCASCYhEAiIF\nCohEAiIFCVz9TQIikYBIgQIikYBIQSJlvKY7BBcQiQREChIQiQREIgGRAgVEIgGRggREIgGR\nSIRUpLGd69bsnOWcg0gkIBKJkIq0+zDnb52UNVxebdq+rXmf3N7bLr4ebd14yGrmkUbxmh/X\nz/sK0ihIII3CL5aJ6hiyhkt8hMVvV8nti3Lfg13jIm3WI43itfJcOA9AjmJTWo9IS02Rbn0v\na7iIGJjcTsq6LmdbGn5nNcMn0uzBJxKJkH4i7T6U5m8ed9RwYZlt8bUt1bPEsw+skUhgjUQi\npGuksR1NTTunHDVcWGZbfD1Y0/quZx8QiQREIhFSkfwAIpGASCQgUqCASCQgUpCASCQgEolI\ni4SrvwlAJBIQKVBAJBIQKUiYp3aBO7eDSCQgUpCASCQgEgmIFCggEgmIFCQgEgmIRKIyRLKC\nOFBqKBCJBEQiUTkiMS6Kujw7yJsOZcq6eNz7+7XX/Ljrs5/g3t8kcO/vOcIWySrq8umvurdn\ny7p4pVEgjwKUG9Uc1o4tklXUZXTj4c+zZV1SwwpumiKpXtdBwrihO4RCBo0B3SG4iPfojsBF\nn3Gd1lA1h7Vji2QVdeGtayezZV2UYI1EAmskEhWyRorFYkwWdeHHd5DLukAkAhCJRGWI5CC5\n6yyxJUQiAZFIVJxIh1pSxJYQiQREIlFxItGBSCQgEolIi4SrvwlAJBIQKVBAJBIQKUikjLt3\ndcdQCEQiAZGCBEQiAZFIQKRAAZFIQKQgAZFIQCQSIRWJHeb88CyHhkgkIBKJsIq0jfNtLJsy\nwY60tHG7LMU7YsfedqtZekzBHVMk1es6uGqM6g6hkJvGkO4QXMQTuiNwcc24RWtYdEqXzx7n\nqAd7+w+ybMoE6xyp4nZZCrnjomjmkUZx9255rpwHIEvRKV02efJG7Xr3vS6WTZlgKevib3kT\ncLlDniElbyi4boqkel0HCWNIdwiFDBj9ukNwEe/WHYGLq8YgrWHRKV02efJGTb+wI82yKRPC\nIVukzA5PsEYigTUSibCukfjr5qIomzLhFCmzwxOIRAIikQipSBJ6ysR0QCQSEIlEqEWip0xM\nB0QiAZFIhFqk2QGRSEAkEpEWCVd/E4BIJCBSoIBIJCBSkEChMRIQiQREChQQiQREChIQiQRE\nIgGRAgVEIgGR5obRWIzFYkVvT14EiEQCIpGoCJG4CKOreXNzV0fjHia3rL3pCQXjxmuql7XQ\nZ4zpDqGQYeO67hBcxBO6I3BxzRihNVTM4CBghlF7ml+oe6yzk8kta69XNYryXDgPQA7FDA4C\nZhjVw3y0ev6dUSa3rL3JIQWDxmuql7XQYwzqDqGQfqNPdwgu4t26I3DRawzQGipmcBAww6g5\nw0/VrrI+kcSW5yFYI5HAGolEha2RrnzZsKdabnkeApFIQCQSlSJShoMd51YSm0IkEhCJRKWJ\ndG7pQ2eITSESCYhEotJEKgGIRAIikYi0SLj6mwBEIgGRAgVEIgGRgkTK+EJ3CC4gEgmIFCQg\nEgmIRAIiBQqIRAIiBQmIRAIikQivSI6CFGxGgUAkEhCJRIhFEgUpRMYE4+frX7SzJ56+xde9\nbhWksEhPKZgwvlC9rIU+Y1x3CIXcMm7qDsFFvFd3BC4GjTu0hkXnc9nMKRxYFKQQGROMr/zm\nWzt74v3PbmwWBSksPNIovijPhfMA5Cg6n8tmTuHAoiCFyJhgPJc9MfDCRydEQQqL5DUVxhfK\nl3XQYwzoDqGQPuOq7hBcxLt1R+Ci1+inNSw6n8tmTuHAoiCFyJiwP5Fk9kRsy7goSOEJ1kgk\nsEYiEeI1kihIITImGD9Xv5vZ2RNvvyArVHh2AJFIQCQS4RVp1kAkEhCJBEQKFBCJBEQKEhCJ\nBEQiAZECBUQiAZGCBNIoSEAkEpEWKXB1xiASDYgUJCASCYhEAiIFCohEAiIFCYhEAiKRqBSR\nWG7jAPEQiEQCIpGoGJHYkZY2mU3B+DuZNAqeUjBl3FW9rIV+Y1J3CIWMGMO6Q3AR79UdgYsh\nY4zWsOgMLpcqahjrHKmS164yTk2juFueC+cByFF0BpfNFSWMpbidTcE4NY3irg+Xz/sL0ihI\nII1izmDMCsX+RKKmUWCNRABrJBKVs0ayQhHZFIycRgGRCEAkEpUi0gyASCQgEgmIFCggEgmI\nFCQgEgmIRAIiBQqIRAIiBQmkUZCASCQiLRIS+whAJBIQKVBAJBIQKUhAJBIQiUSFiNQxg2Mg\nEgmIRCK8Ir16hvP3jh+YeRQQiQREIhFekX7YynnjMOOXGjd0cLZLpFGI/An2atP2bc37PDuA\nSCQgEonwisQbb13dYg5fb6RazS8ijULkT7D4CIvfrrKaoBoFCBrFprM+kX51/O1T5vDVjC20\nREpl8ifE5asyrmS/CuML5cs66Db6dIdQSK/RqzsEF/G47ghcJIyrtIbFprM+kW41PzVpDr+i\nN2X6lBbuiPwJh0hKcGpHAqd2JEJ8asef220Nf77pmdO8fqtwR+RPQCRfgUgkwizSLIFIJCAS\nCYgUKCASCYgUJCASCYhEAiIFCohEAiIFCaRRkIBIJKIsUmJQdwguhhJFbyCoizuJEd0huOgN\n3l+BNxOTs+sgvCIBECAgEgA+AJEA8AGIBIAPQCQAfCBkIvW0tLb0FDwt2Fd+3ty05kTumQyn\n6ckn/0ZfRJx3L3A8CUJI13+2deNvghUSP7Jp0xHH01nFFDKRYp/zM+tFLiDna+2n4kFjTMOb\neM+Sgph4TGNAJhPb7JTJwIT0/Gd8rCdYIfFlnd8u8+ttCplID4zxscUiF1CELp6KB40xTY3y\nT2IFMd35yZIVf9AY0/7v7ZTJwIT04P4HVn0drJD4WcbO+fU2hUykReP8ziKRC7iWMbZWPBUP\nOoO68+KusYKYbv969PhyfRGdej+TMhmYkOa/N/wfVgQrJL761MnH/XqbQiZSy1n++5jIBRSh\ni6fiQWNMUxt+4Lwgpr6zvHuZvpB2mfNiWbBCqrvEux4KVkj8z/r7/8yvn1zIROpe/9yGhMgF\n5LzKfioeNMb09cNPPvlkQUyT2zY1/F5jTNmUycCE1NW0vuFCsELin9TVfuLX2xQykQAIJhAJ\nAB+ASAD4AEQCwAcgEgA+AJEA8AGIBIAPQCQAfAAiAeADEAkAH4BIAPgARALAByASAD4AkQDw\nAYgEgA9AJAB8ACIB4AMQCQAfgEgA+ABEAsAHIBIAPgCRAPABiASAD0AkAHwAIgHgAxAJAB+A\nSAD4AEQCwAcgEgA+AJHcvFYU3ZGVxBfFKV8QLxWlfDGUBYjkBiL5B0SKMBDJPyBShIFI/gGR\nIgxE8g+IFGEgkn9ApAgDkfwDIkUYiOQfECnCQCT/gEgRBiL5B0SKMB4ipd597C/qLucf8p5j\nW7yl7GXz4WWWt5flNZtzvERij5vkHTFteNPOEGb3sOrhdnVrD5Ge+5RPLvw9H/3RpGcYzrFY\n8KZt8CLSj4dIH2wcT59fkc47hBVus7okT9bnizRR3nfbUyTXEQpnpt1pPnYtVrf2EOmj3bzj\n0b38fIwyYm4siBQKPERabZgP3ycTT9Wu6zffwENr23grG+TswH2r6xrezIj0xh/4H99gslFX\nXf0e6xPJbJY56sDuXHurB7n/I8eeWUMTSQ758dq61e/lh5eJgeVaycDs70a8lPykiXc1NDR2\nWcc0iBeyXdxv9ekh0tXV/I3freYH35VHKcOwxsrEwfgnWyedQYkjZ/+ezRyI5MZDpAUT4ktz\nB//uKfMN/Gq4Sp64nWz7ivfPy4h05UX+iy4mG609zT8Rp3Yse9TJdK691YPc79wzazxFsrCH\nXPQVv3k0P7xMDOLbcQZmfzd2Dxd47Ql+ts46pka8kO1C9Om1RvqL23Xj6xNPfyePUoUhxsrE\nwf5uw1ReUPJIjUAkNx4irfrBfGgbXGD+ZB8w38ApufzhbPLctlfaWEak9BNjDWkmG1WP85u2\nSJmjJh3tp7L7nXtmDe0TSQ751a5N287nhzeVO3/jeYHZ3414KX1qBa8e5qPV1jHyhWwXok8v\nkXZ+/DQ/9t6PU/IoZRjWWJk42I5Vd/KCkkdqBCK58RDpWGyMf/UXqVWdvP/XPGNR2nxcEueX\nxAa39h3edYgz2agu+4mUdh6Va8+43O/cM2toIskh94zyyw8UhOcUyRlYXe4TifPEn/GaE/yz\n2twL2S5En14iffaTd3niJ5vto9RhmGNl4mDp9/flBSWP1AhEcuMhUurIypUNl3lnQ+P6C5mf\ndF2/+fh2Y/OrjUczIiVYnDPZqKvuCflRVdfvPCrXntm9OffMGk+RxG/t5JDHf7p2zUcF4WV/\nNZdtJXfa34186eGPxRrpSu6FbBeiTy+RrjPz0EeO2UepwzDHysTBeKrhojMoeaRGIJIbD5HC\ngpdIZcFLpIoBIrmBSP4BkSIMRPIPiBRhIJJ/QKQIA5H8AyJFGIjkHxApwkAk/4BIlQh7+OFl\nKy/m79vnbgaR/AMiVSLWN/t5vXtfARDJPyBSJWJ9s7eX81vbV67cfkv+i/gO9vTYz1bGxpzN\nIJJ/QKRKxPxmp45t59tfSaVe2ZG9AOX1v+G/muYED4ASiJZIJvO+5UuGOb+xNCvST2/zyVW6\nQwMhJ1oimZ9If/eIEGl4iflsRIhUbeq10NnsH4qiK/AZcbc45QviXlHKF0NZiJpIPHU/39aW\nSu3fzuf3nbZESq36mic+cDaDSP4BkSoR8c2u4MPbxC8b3vzxW+aOdY931q1u/pOzGUTyD4gU\nYSCSf0CkCAOR/AMiRRiI5B8QKcJAJP+ASBEGIvkHRIowEMk/IFKEgUj+AZEijIdImZvoF751\n+c/Z46sfOpbfwHFL3T0Ng9OP/U7VdevgaX4sjl3Oe/OeqFv1k+eHp+vKSyTqTfRnVQ7AQ6QS\nbqKvvyqBEojkxkOkzE30JwoOY4XP4ouKNmDJ6YdOP777fT69SI7hHK9+9kQfn/zF1un6HvYa\nmQAABHFJREFU8hTJdcS0k2F25QA8RCrhJvr6qxIoCU4kwcFDJPsm+taNUw80NdVtGs1c/pq5\nqfuB3VzcYvdsbfYG89b/uZvDm89arbvuN9iv7lv98nOPiwvQL7cm6qyX2b4n1n6Xf0/9TPfc\n6sjul/O11v2T00lr1BbRuRzCMOP6P//rL//Zv/57L5G8b6I/q3IA//6f/zuVSCXcRF9/VQIl\nEMmNh0j2TfQtkU4+8Vt+/E8ZkTI3dT9plXzJv8G8/b99c3j5trOTa+1Xu26yrhviXvGvfM7r\nuq2DP+Una/LvqZ/pXhxt98v5wlGrtfXySdm5fGww4/qv/+q/3P2ff6kQiXgT/VmVA/hv//sf\nKddI9Jvo669KoAQiufEQyb6JvvVjnKwWqxPGk9aPNXNT90m5j5/N3WBeNsjcHN4WaTL7aubO\nvMllZoOD1hwf5uML8u+pn+leHG0fyXndOfPhtiXSpOzcvm2/Gdfdf2xu/hOvTyTvm+jPqhzA\n/7vHlCLRb6KvvyqBEojkxkMk+yb64sdYc4of/YzPG+6wflrOm+hbj6mqzA3m7QaZm8PbIuVu\nP58R6fcbzZPGP7duEv8ZP9WQf0/9TPfWkWn7SEtWg6deEYVlZOfy0YrrP/3T/3H37/+jl0iE\nm+jPphzAPQ+RSriJvvaqBEogkhsPkeyb6AuRLjesXX+H76/ZZ/2onDfRF48PZm4wLxtkbw6f\nESl7+/nMT/r535kPay6aIu1/4okf8u+pn+meWx3ZR5qcfWLVU2dXWS1k5/LRiuv//vd/8S//\nzX/2+q2d9030Z1UOwEsk+k309VclUAKR3HiIFBa8fmtXFor+0g7/jlT5QCT/gEgRBiL5B0SK\nMBDJPyBShIFI/gGRIgxE8g+IFGEgkn9ApAgDkfwDIkUYiOQfECnCQCT/gEgAADoQCQAfgEgA\n+ABEAsAHIBIAPgCRAPABiASAD0AkAHwAIgHgAxAJAB+ASAD4AEQCwAcgEgA+AJEA8AGIBIAP\nQCQQHc4/tubxCx5t2FqT/F3HCV1DJBAdHrrMv1vu0WYaIyiSQCQQHVa+cyd9nXc1NjV2yfuB\nszfWNT3x7ESi+YmWfsdN283HN5plq8N1bc+xQdHgo4Op9fFiXUMkEB36X3401sVrf8N/X2eL\ndKb+FD/a1fwnfukpLqsoWlWjDpgv2K2+Hq4y24kG6U173i/aNUQC0eGTqfSJTNEqUbOKTYkK\nV9m6VTz7iTRlt0o6qjB9taiw3GkOiASiw4oz/Os/5zW/4Sdq+bzhryxF1pzhh8+v+s4qpmR/\nItmPslWmCpPVINly6EDRriESiA5XGh5ffUGska7w/XX7LJEuNdRtnuhsfHLjhfw1kt0qU4XJ\nanDoo/T6S8W6hkgA+ABEAsAHIBIAPgCRAPABiASAD0AkAHwAIgHgAxAJAB+ASAD4AEQCwAcg\nEgA+AJEA8AGIBIAPQCQAfAAiAeADEAkAH4BIAPgARALAByASAD4AkQDwAYgEgA9AJAB8ACIB\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": "code",
   "execution_count": 23,
   "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": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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VgicliNRDSAHjsAgDKDwA5Adty+qCCK7fmOw9J4KTv02AEAlBsEdgCyM75KbP49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\nAIRj6TU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M1hnxWL5iDW8Udj7wa++ynW+boeI+pPDpZ8OFzykVFqkqbFrA52xM9a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\nHjx4sK6urnj7zJ8/X8c1vfGL172kSN99993FX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9aDt2o9nt2t4I8/dk/0EGvWrCkqKpJue1wm5y4WQrgvRGdnZ2pqaldX11133XXp0iXX\n5QsPDz9x4kRiYmJdXd2KFSuioqLcRx/5Br/5pmuGsrQT1HdcXFxDQ4P0aa3T6RoaGnJycoTb\n/IzXNv/mm29SUlIKCgqEEK2trSaTSRbsnMfKFnEU74oT7QZPneSv/lE12RDsboKMjAybzbZz\n5061Wj1z5sy8vDwhRHZ2dllZWXBwcHp6usejoqKizp07FxISIt196KGHqqqqpk6dGhYWptVq\nvf2eJSQkxPWHDNkoeXl5lZWVn376aWRkpPtY1yzJdw2yw0dY8I3k+sewsvI6OjrMZnNAQMD6\n9eulBiOcE98D+Z4Eb8vh2sn58+efeuoprVZbU1PT2to6NDS0Y8cObz14qzYwMDAvL8/17DBe\n/P39V69e3dXVJYQwGAyyZZLtYveFsFgsra2tg4OD+fn5v/76q+vy5efnG43GhoaG0NDQBQsW\neBx9hBtc8eLj441Go3SpSafT1dbWRkdHC7f5cZ//0W3zjo4O5zclkpOTDx8+/Pzzz3tsKVvE\nSfiueIOnzomPqnGkGuH/tQEAmFB6vd716wEAMAr8dycAMCncatfVAEwErtgBAAAoBFfsAAAA\nFIJgBwAAoBAEOwAAAIUg2AEAACgEwQ4AAEAhCHYAAAAKQbADAABQCIIdAACAQhDsAAAAFIJg\nBwAAoBAEOwAAAIUg2AEAACgEwQ4AAEAhCHYAAAAKQbADAABQCIIdAACAQhDsAAAAFIJgBwAA\noBAEOwAAAIUg2AEAACgEwQ4AAEAhCHYAAAAKQbADAABQCP+bXQAAAMA19PT0VFZW2u32gICA\n7OzsxYsX35hx9Xp9WFiY867RaLzeHurq6jZt2jSuRflCsAMAAJNdeXn51q1bly1bZjab9+3b\n9957792woUcR5lzV19ffyGDHr2IBAMBkZ7PZ5syZI4RYunTpo48+KoSwWq2vvvpqTk5OYWGh\n1WqVmun1evcbTU1NRUVF58+fLy4u3r59e2FhYX9//+DgYGlpaU5OTlFR0eDgoNT46aefvmYl\nzg69FVBfX79169ZDhw4JIfbv3y+EkIaQDff5559XVlYKIY4cOSLdGBcEOwAAMNk99thju3bt\nKisr+/bbb1etWiWEqK6uTk1NraysTE5Orqmp8XGsw+F47bXXjEZjUlJSVVXVvffe29zc/NFH\nH919992VlZXLly//8MMPpZb79u0bSTFSh94KiIyM3LNnT2NjoxBix44dQog33njDfbj09PTe\n3l6z2dzc3PzMM8+Mcl7cEOwAAMBkt27dutraWq1WW1NT8/777wshuru709LShBBpaWk//PCD\nj2MfeOABjUZjsVik9hkZGU8++eTRo0fXrFkjhFi7dq3FYpFa3n777e6H6/9UV1fn2qG3AmJi\nYkJCQq5cueLaiftwfn5+ubm5b775ZlZW1vTp00c3Le74jh0AAJjsSktL8/Ly9Hp9UlKSwWB4\n7rnnHA6H9JRKpbLb7a6NL1265Ho3MDBQCGG321UqlXRjYGCgv78/MzNTahAQEOBj6JaWFtkj\nUofeCpCelfE43G+//ebv73/u3Dkfo18vgh0AAJjs+vr6TCZTenr6iRMn7rjjDiFETEzMV199\n9eCDD7a3t8fFxUnNNBqN1Wrt7e117yE2NlZq39bWdvr06blz5+bn5y9ZsuTnn3/+/vvvpTYD\nAwMeL9p55LEAj65eveo+3NDQUE1NTWlp6d69e1NSUmbPnj3iyfCFYAcAACa7l1566d13362v\nr58xY4b0xbXs7Ozy8vLPPvssODi4oKBAarZ+/frCwkLpN6QyUvvm5uagoKCXX365v7+/urp6\neHg4KCjIeS3NYDAcPHhwhCV5LMBdfHz8rl27CgoKZMN9/PHHKSkp8+fPz8rKMhqNr7zyyvXM\nh1eqgYGBcekIAAAANxd/PAEAAKAQBDsAAACFINgBAAAoBMEOAABAIQh2AAAACkGwAwAAUAiC\nHQAAgEIQ7AAAABSCYAcAAKAQBDsAAACFINgBAAAoBMEOAABAIQh2AAAACkGwAwAAUAiCHQAA\ngEIQ7AAAABSCYAcAAKAQBDsAAACFINgBAAAoBMEOAABAIQh2AAAACkGwAwAAUAiCHQAAgEL8\nF499fF3cpDt/AAAAAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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cJo6jZJjBXGJMJkGc2Un/yN5N21KSr3OMb5hOTDtUNNM0RvyqSf/Hy6Zh6jhfRt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\nAAAASUVORK5CYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "#Now Let's look at changes since the EU-Turkey Agreement went into effect...after March 2016\n",
    "\n",
    "datesub <- long_copy[long_copy$Date > ymd(20160301),]\n",
    "\n",
    "# plot the migrant counts by route to europe\n",
    "p10 <- ggplot(datesub, aes(x=Date, y=Count, colour = Route)) + \n",
    "  geom_line() +\n",
    "  ylab(\"Number of Migrants\") +\n",
    "  theme_fivethirtyeight(base_size = 7, base_family = \"sans\") + \n",
    "  scale_color_brewer(name='',palette='Set1') + \n",
    "  scale_fill_brewer(palette=\"Dark2\")+\n",
    "  ggtitle(\"Illegal Border Crossing to Europe by Route After EU-Turkey Agreement\") +\n",
    "  labs(caption = \"Source: Frontex\") \n",
    "\n",
    "p10\n",
    "\n",
    "# We'll visualize the same data slightly differently.  \n",
    "df1 <- datesub[datesub$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 = 9.5, base_family = \"sans\") + \n",
    "  theme(legend.position='bottom', legend.text=element_text(size=6)) + \n",
    "  ggtitle(\"Illegal Border Crossings to Europe by Route\\nAfter EU-Turkey Agreement\") +\n",
    "  labs(caption = \"Source: Frontex\") +\n",
    "  facet_wrap(~ Route)"
   ]
  },
  {
   "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 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "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>2016-04-01 </td><td>0          </td></tr>\n",
       "\t<tr><td>Black Sea  </td><td>Sea        </td><td>Algeria    </td><td>2016-04-01 </td><td>0          </td></tr>\n",
       "\t<tr><td>Black Sea  </td><td>Sea        </td><td>Belarus    </td><td>2016-04-01 </td><td>0          </td></tr>\n",
       "\t<tr><td>Black Sea  </td><td>Sea        </td><td>Iran       </td><td>2016-04-01 </td><td>0          </td></tr>\n",
       "\t<tr><td>Black Sea  </td><td>Sea        </td><td>Iraq       </td><td>2016-04-01 </td><td>0          </td></tr>\n",
       "\t<tr><td>Black Sea  </td><td>Sea        </td><td>Morocco    </td><td>2016-04-01 </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 & 2016-04-01  & 0          \\\\\n",
       "\t Black Sea   & Sea         & Algeria     & 2016-04-01  & 0          \\\\\n",
       "\t Black Sea   & Sea         & Belarus     & 2016-04-01  & 0          \\\\\n",
       "\t Black Sea   & Sea         & Iran        & 2016-04-01  & 0          \\\\\n",
       "\t Black Sea   & Sea         & Iraq        & 2016-04-01  & 0          \\\\\n",
       "\t Black Sea   & Sea         & Morocco     & 2016-04-01  & 0          \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "Route | BorderLocation | NationalityLong | Date | Count | \n",
       "|---|---|---|---|---|---|\n",
       "| Black Sea   | Sea         | Afghanistan | 2016-04-01  | 0           | \n",
       "| Black Sea   | Sea         | Algeria     | 2016-04-01  | 0           | \n",
       "| Black Sea   | Sea         | Belarus     | 2016-04-01  | 0           | \n",
       "| Black Sea   | Sea         | Iran        | 2016-04-01  | 0           | \n",
       "| Black Sea   | Sea         | Iraq        | 2016-04-01  | 0           | \n",
       "| Black Sea   | Sea         | Morocco     | 2016-04-01  | 0           | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "  Route     BorderLocation NationalityLong Date       Count\n",
       "1 Black Sea Sea            Afghanistan     2016-04-01 0    \n",
       "2 Black Sea Sea            Algeria         2016-04-01 0    \n",
       "3 Black Sea Sea            Belarus         2016-04-01 0    \n",
       "4 Black Sea Sea            Iran            2016-04-01 0    \n",
       "5 Black Sea Sea            Iraq            2016-04-01 0    \n",
       "6 Black Sea Sea            Morocco         2016-04-01 0    "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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8hOFyqw82JPIFGhUJ3QImVzcT5RalPa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\nRK5CYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nat_rte <- frontex %>% \n",
    "        gather(Date, Count,4:109) \n",
    "\n",
    "nat_rte$Date <- cleanup(nat_rte$Date)\n",
    "nat_rte <- nat_rte[nat_rte$Date > ymd(20160301),]\n",
    "\n",
    "head(nat_rte)\n",
    "\n",
    "# clean up the columns \n",
    "nat_rte$NationalityLong <- as.factor(nat_rte$NationalityLong)\n",
    "nat_rte$Route <- as.factor(nat_rte$Route)\n",
    "nat_rte$BorderLocation <- NULL \n",
    "\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 = 8, base_family = \"sans\") + \n",
    "  coord_flip() +\n",
    "  theme(legend.position='bottom', legend.text=element_text(size=5.5)) + \n",
    "  ggtitle(\"Number of Migrants Illegally Traveling to Europe by Origin\\nand Route After EU-Turkey Agreement\") +\n",
    "  labs(caption = \"Source: Frontex\") "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "R",
   "language": "R",
   "name": "ir"
  },
  "language_info": {
   "codemirror_mode": "r",
   "file_extension": ".r",
   "mimetype": "text/x-r-source",
   "name": "R",
   "pygments_lexer": "r",
   "version": "3.4.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}