programming_analysis.ipynb

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   "source": [
    "## 1. Data on tags over time\n",
    "<p>How can we tell what programming languages and technologies are used by the most people? How about what languages are growing and which are shrinking, so that we can tell which are most worth investing time in?</p>\n",
    "<p>One excellent source of data is <a href=\"https://stackoverflow.com/\">Stack Overflow</a>, a programming question and answer site with more than 16 million questions on programming topics. By measuring the number of questions about each technology, we can get an approximate sense of how many people are using it. We're going to use open data from the <a href=\"https://data.stackexchange.com/\">Stack Exchange Data Explorer</a> to examine the relative popularity of languages like R, Python, Java and Javascript have changed over time.</p>\n",
    "<p>Each Stack Overflow question has a <strong>tag</strong>, which marks a question to describe its topic or technology. For instance, there's a tag for languages like <a href=\"https://stackoverflow.com/tags/r\">R</a> or <a href=\"https://stackoverflow.com/tags/python\">Python</a>, and for packages like <a href=\"https://stackoverflow.com/questions/tagged/ggplot2\">ggplot2</a> or <a href=\"https://stackoverflow.com/questions/tagged/pandas\">pandas</a>.</p>\n",
    "<p><img src=\"https://assets.datacamp.com/production/project_435/img/tags.png\" alt=\"Stack Overflow tags\"></p>\n",
    "<p>We'll be working with a dataset with one observation for each tag in each year. The dataset includes both the number of questions asked in that tag in that year, and the total number of questions asked in that year.</p>"
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     "sample_code"
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     "text": [
      "\n",
      "Attaching package: ‘dplyr’\n",
      "\n",
      "\n",
      "The following objects are masked from ‘package:stats’:\n",
      "\n",
      "    filter, lag\n",
      "\n",
      "\n",
      "The following objects are masked from ‘package:base’:\n",
      "\n",
      "    intersect, setdiff, setequal, union\n",
      "\n",
      "\n",
      "\u001b[1mRows: \u001b[22m\u001b[34m40518\u001b[39m \u001b[1mColumns: \u001b[22m\u001b[34m4\u001b[39m\n",
      "\u001b[36m──\u001b[39m \u001b[1mColumn specification\u001b[22m \u001b[36m────────────────────────────────────────────────────────\u001b[39m\n",
      "\u001b[1mDelimiter:\u001b[22m \",\"\n",
      "\u001b[31mchr\u001b[39m (1): tag\n",
      "\u001b[32mdbl\u001b[39m (3): year, number, year_total\n",
      "\n",
      "\u001b[36mℹ\u001b[39m Use `spec()` to retrieve the full column specification for this data.\n",
      "\u001b[36mℹ\u001b[39m Specify the column types or set `show_col_types = FALSE` to quiet this message.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A spec_tbl_df: 40518 × 4</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>year</th><th scope=col>tag</th><th scope=col>number</th><th scope=col>year_total</th></tr>\n",
       "\t<tr><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>2008</td><td>.htaccess           </td><td>  54</td><td>58390</td></tr>\n",
       "\t<tr><td>2008</td><td>.net                </td><td>5910</td><td>58390</td></tr>\n",
       "\t<tr><td>2008</td><td>.net-2.0            </td><td> 289</td><td>58390</td></tr>\n",
       "\t<tr><td>2008</td><td>.net-3.5            </td><td> 319</td><td>58390</td></tr>\n",
       "\t<tr><td>2008</td><td>.net-4.0            </td><td>   6</td><td>58390</td></tr>\n",
       "\t<tr><td>2008</td><td>.net-assembly       </td><td>   3</td><td>58390</td></tr>\n",
       "\t<tr><td>2008</td><td>.net-core           </td><td>   1</td><td>58390</td></tr>\n",
       "\t<tr><td>2008</td><td>2d                  </td><td>  42</td><td>58390</td></tr>\n",
       "\t<tr><td>2008</td><td>32-bit              </td><td>  19</td><td>58390</td></tr>\n",
       "\t<tr><td>2008</td><td>32bit-64bit         </td><td>   4</td><td>58390</td></tr>\n",
       "\t<tr><td>2008</td><td>3d                  </td><td>  73</td><td>58390</td></tr>\n",
       "\t<tr><td>2008</td><td>64bit               </td><td> 149</td><td>58390</td></tr>\n",
       "\t<tr><td>2008</td><td>abap                </td><td>  10</td><td>58390</td></tr>\n",
       "\t<tr><td>2008</td><td>absolute            </td><td>   1</td><td>58390</td></tr>\n",
       "\t<tr><td>2008</td><td>abstract            </td><td>   5</td><td>58390</td></tr>\n",
       "\t<tr><td>2008</td><td>abstract-class      </td><td>  27</td><td>58390</td></tr>\n",
       "\t<tr><td>2008</td><td>abstract-syntax-tree</td><td>   6</td><td>58390</td></tr>\n",
       "\t<tr><td>2008</td><td>accelerometer       </td><td>   3</td><td>58390</td></tr>\n",
       "\t<tr><td>2008</td><td>access              </td><td>   1</td><td>58390</td></tr>\n",
       "\t<tr><td>2008</td><td>access-control      </td><td>  12</td><td>58390</td></tr>\n",
       "\t<tr><td>2008</td><td>accessibility       </td><td>  26</td><td>58390</td></tr>\n",
       "\t<tr><td>2008</td><td>access-vba          </td><td>  50</td><td>58390</td></tr>\n",
       "\t<tr><td>2008</td><td>access-violation    </td><td>   4</td><td>58390</td></tr>\n",
       "\t<tr><td>2008</td><td>accordion           </td><td>   9</td><td>58390</td></tr>\n",
       "\t<tr><td>2008</td><td>acl                 </td><td>  11</td><td>58390</td></tr>\n",
       "\t<tr><td>2008</td><td>acrobat             </td><td>  10</td><td>58390</td></tr>\n",
       "\t<tr><td>2008</td><td>action              </td><td>  10</td><td>58390</td></tr>\n",
       "\t<tr><td>2008</td><td>actionlistener      </td><td>   4</td><td>58390</td></tr>\n",
       "\t<tr><td>2008</td><td>actionmailer        </td><td>   3</td><td>58390</td></tr>\n",
       "\t<tr><td>2008</td><td>actionscript        </td><td> 136</td><td>58390</td></tr>\n",
       "\t<tr><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td></tr>\n",
       "\t<tr><td>2018</td><td>yaml             </td><td> 648</td><td>1085170</td></tr>\n",
       "\t<tr><td>2018</td><td>yarn             </td><td> 357</td><td>1085170</td></tr>\n",
       "\t<tr><td>2018</td><td>yeoman           </td><td>  36</td><td>1085170</td></tr>\n",
       "\t<tr><td>2018</td><td>yesod            </td><td>  41</td><td>1085170</td></tr>\n",
       "\t<tr><td>2018</td><td>yield            </td><td>  69</td><td>1085170</td></tr>\n",
       "\t<tr><td>2018</td><td>yii              </td><td> 269</td><td>1085170</td></tr>\n",
       "\t<tr><td>2018</td><td>yii2             </td><td>1181</td><td>1085170</td></tr>\n",
       "\t<tr><td>2018</td><td>yii2-advanced-app</td><td> 209</td><td>1085170</td></tr>\n",
       "\t<tr><td>2018</td><td>yocto            </td><td> 288</td><td>1085170</td></tr>\n",
       "\t<tr><td>2018</td><td>youtube          </td><td> 676</td><td>1085170</td></tr>\n",
       "\t<tr><td>2018</td><td>youtube-api      </td><td> 473</td><td>1085170</td></tr>\n",
       "\t<tr><td>2018</td><td>youtube-api-v3   </td><td> 223</td><td>1085170</td></tr>\n",
       "\t<tr><td>2018</td><td>youtube-data-api </td><td> 203</td><td>1085170</td></tr>\n",
       "\t<tr><td>2018</td><td>yui              </td><td>   5</td><td>1085170</td></tr>\n",
       "\t<tr><td>2018</td><td>yum              </td><td>  98</td><td>1085170</td></tr>\n",
       "\t<tr><td>2018</td><td>z3               </td><td> 124</td><td>1085170</td></tr>\n",
       "\t<tr><td>2018</td><td>zend-db          </td><td>  11</td><td>1085170</td></tr>\n",
       "\t<tr><td>2018</td><td>zend-form        </td><td>  13</td><td>1085170</td></tr>\n",
       "\t<tr><td>2018</td><td>zend-framework   </td><td> 188</td><td>1085170</td></tr>\n",
       "\t<tr><td>2018</td><td>zend-framework2  </td><td> 108</td><td>1085170</td></tr>\n",
       "\t<tr><td>2018</td><td>zeromq           </td><td> 168</td><td>1085170</td></tr>\n",
       "\t<tr><td>2018</td><td>z-index          </td><td> 107</td><td>1085170</td></tr>\n",
       "\t<tr><td>2018</td><td>zip              </td><td> 410</td><td>1085170</td></tr>\n",
       "\t<tr><td>2018</td><td>zipfile          </td><td> 115</td><td>1085170</td></tr>\n",
       "\t<tr><td>2018</td><td>zk               </td><td>  35</td><td>1085170</td></tr>\n",
       "\t<tr><td>2018</td><td>zlib             </td><td>  89</td><td>1085170</td></tr>\n",
       "\t<tr><td>2018</td><td>zoom             </td><td> 196</td><td>1085170</td></tr>\n",
       "\t<tr><td>2018</td><td>zsh              </td><td> 175</td><td>1085170</td></tr>\n",
       "\t<tr><td>2018</td><td>zurb-foundation  </td><td> 182</td><td>1085170</td></tr>\n",
       "\t<tr><td>2018</td><td>zxing            </td><td>  95</td><td>1085170</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A spec\\_tbl\\_df: 40518 × 4\n",
       "\\begin{tabular}{llll}\n",
       " year & tag & number & year\\_total\\\\\n",
       " <dbl> & <chr> & <dbl> & <dbl>\\\\\n",
       "\\hline\n",
       "\t 2008 & .htaccess            &   54 & 58390\\\\\n",
       "\t 2008 & .net                 & 5910 & 58390\\\\\n",
       "\t 2008 & .net-2.0             &  289 & 58390\\\\\n",
       "\t 2008 & .net-3.5             &  319 & 58390\\\\\n",
       "\t 2008 & .net-4.0             &    6 & 58390\\\\\n",
       "\t 2008 & .net-assembly        &    3 & 58390\\\\\n",
       "\t 2008 & .net-core            &    1 & 58390\\\\\n",
       "\t 2008 & 2d                   &   42 & 58390\\\\\n",
       "\t 2008 & 32-bit               &   19 & 58390\\\\\n",
       "\t 2008 & 32bit-64bit          &    4 & 58390\\\\\n",
       "\t 2008 & 3d                   &   73 & 58390\\\\\n",
       "\t 2008 & 64bit                &  149 & 58390\\\\\n",
       "\t 2008 & abap                 &   10 & 58390\\\\\n",
       "\t 2008 & absolute             &    1 & 58390\\\\\n",
       "\t 2008 & abstract             &    5 & 58390\\\\\n",
       "\t 2008 & abstract-class       &   27 & 58390\\\\\n",
       "\t 2008 & abstract-syntax-tree &    6 & 58390\\\\\n",
       "\t 2008 & accelerometer        &    3 & 58390\\\\\n",
       "\t 2008 & access               &    1 & 58390\\\\\n",
       "\t 2008 & access-control       &   12 & 58390\\\\\n",
       "\t 2008 & accessibility        &   26 & 58390\\\\\n",
       "\t 2008 & access-vba           &   50 & 58390\\\\\n",
       "\t 2008 & access-violation     &    4 & 58390\\\\\n",
       "\t 2008 & accordion            &    9 & 58390\\\\\n",
       "\t 2008 & acl                  &   11 & 58390\\\\\n",
       "\t 2008 & acrobat              &   10 & 58390\\\\\n",
       "\t 2008 & action               &   10 & 58390\\\\\n",
       "\t 2008 & actionlistener       &    4 & 58390\\\\\n",
       "\t 2008 & actionmailer         &    3 & 58390\\\\\n",
       "\t 2008 & actionscript         &  136 & 58390\\\\\n",
       "\t ⋮ & ⋮ & ⋮ & ⋮\\\\\n",
       "\t 2018 & yaml              &  648 & 1085170\\\\\n",
       "\t 2018 & yarn              &  357 & 1085170\\\\\n",
       "\t 2018 & yeoman            &   36 & 1085170\\\\\n",
       "\t 2018 & yesod             &   41 & 1085170\\\\\n",
       "\t 2018 & yield             &   69 & 1085170\\\\\n",
       "\t 2018 & yii               &  269 & 1085170\\\\\n",
       "\t 2018 & yii2              & 1181 & 1085170\\\\\n",
       "\t 2018 & yii2-advanced-app &  209 & 1085170\\\\\n",
       "\t 2018 & yocto             &  288 & 1085170\\\\\n",
       "\t 2018 & youtube           &  676 & 1085170\\\\\n",
       "\t 2018 & youtube-api       &  473 & 1085170\\\\\n",
       "\t 2018 & youtube-api-v3    &  223 & 1085170\\\\\n",
       "\t 2018 & youtube-data-api  &  203 & 1085170\\\\\n",
       "\t 2018 & yui               &    5 & 1085170\\\\\n",
       "\t 2018 & yum               &   98 & 1085170\\\\\n",
       "\t 2018 & z3                &  124 & 1085170\\\\\n",
       "\t 2018 & zend-db           &   11 & 1085170\\\\\n",
       "\t 2018 & zend-form         &   13 & 1085170\\\\\n",
       "\t 2018 & zend-framework    &  188 & 1085170\\\\\n",
       "\t 2018 & zend-framework2   &  108 & 1085170\\\\\n",
       "\t 2018 & zeromq            &  168 & 1085170\\\\\n",
       "\t 2018 & z-index           &  107 & 1085170\\\\\n",
       "\t 2018 & zip               &  410 & 1085170\\\\\n",
       "\t 2018 & zipfile           &  115 & 1085170\\\\\n",
       "\t 2018 & zk                &   35 & 1085170\\\\\n",
       "\t 2018 & zlib              &   89 & 1085170\\\\\n",
       "\t 2018 & zoom              &  196 & 1085170\\\\\n",
       "\t 2018 & zsh               &  175 & 1085170\\\\\n",
       "\t 2018 & zurb-foundation   &  182 & 1085170\\\\\n",
       "\t 2018 & zxing             &   95 & 1085170\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A spec_tbl_df: 40518 × 4\n",
       "\n",
       "| year &lt;dbl&gt; | tag &lt;chr&gt; | number &lt;dbl&gt; | year_total &lt;dbl&gt; |\n",
       "|---|---|---|---|\n",
       "| 2008 | .htaccess            |   54 | 58390 |\n",
       "| 2008 | .net                 | 5910 | 58390 |\n",
       "| 2008 | .net-2.0             |  289 | 58390 |\n",
       "| 2008 | .net-3.5             |  319 | 58390 |\n",
       "| 2008 | .net-4.0             |    6 | 58390 |\n",
       "| 2008 | .net-assembly        |    3 | 58390 |\n",
       "| 2008 | .net-core            |    1 | 58390 |\n",
       "| 2008 | 2d                   |   42 | 58390 |\n",
       "| 2008 | 32-bit               |   19 | 58390 |\n",
       "| 2008 | 32bit-64bit          |    4 | 58390 |\n",
       "| 2008 | 3d                   |   73 | 58390 |\n",
       "| 2008 | 64bit                |  149 | 58390 |\n",
       "| 2008 | abap                 |   10 | 58390 |\n",
       "| 2008 | absolute             |    1 | 58390 |\n",
       "| 2008 | abstract             |    5 | 58390 |\n",
       "| 2008 | abstract-class       |   27 | 58390 |\n",
       "| 2008 | abstract-syntax-tree |    6 | 58390 |\n",
       "| 2008 | accelerometer        |    3 | 58390 |\n",
       "| 2008 | access               |    1 | 58390 |\n",
       "| 2008 | access-control       |   12 | 58390 |\n",
       "| 2008 | accessibility        |   26 | 58390 |\n",
       "| 2008 | access-vba           |   50 | 58390 |\n",
       "| 2008 | access-violation     |    4 | 58390 |\n",
       "| 2008 | accordion            |    9 | 58390 |\n",
       "| 2008 | acl                  |   11 | 58390 |\n",
       "| 2008 | acrobat              |   10 | 58390 |\n",
       "| 2008 | action               |   10 | 58390 |\n",
       "| 2008 | actionlistener       |    4 | 58390 |\n",
       "| 2008 | actionmailer         |    3 | 58390 |\n",
       "| 2008 | actionscript         |  136 | 58390 |\n",
       "| ⋮ | ⋮ | ⋮ | ⋮ |\n",
       "| 2018 | yaml              |  648 | 1085170 |\n",
       "| 2018 | yarn              |  357 | 1085170 |\n",
       "| 2018 | yeoman            |   36 | 1085170 |\n",
       "| 2018 | yesod             |   41 | 1085170 |\n",
       "| 2018 | yield             |   69 | 1085170 |\n",
       "| 2018 | yii               |  269 | 1085170 |\n",
       "| 2018 | yii2              | 1181 | 1085170 |\n",
       "| 2018 | yii2-advanced-app |  209 | 1085170 |\n",
       "| 2018 | yocto             |  288 | 1085170 |\n",
       "| 2018 | youtube           |  676 | 1085170 |\n",
       "| 2018 | youtube-api       |  473 | 1085170 |\n",
       "| 2018 | youtube-api-v3    |  223 | 1085170 |\n",
       "| 2018 | youtube-data-api  |  203 | 1085170 |\n",
       "| 2018 | yui               |    5 | 1085170 |\n",
       "| 2018 | yum               |   98 | 1085170 |\n",
       "| 2018 | z3                |  124 | 1085170 |\n",
       "| 2018 | zend-db           |   11 | 1085170 |\n",
       "| 2018 | zend-form         |   13 | 1085170 |\n",
       "| 2018 | zend-framework    |  188 | 1085170 |\n",
       "| 2018 | zend-framework2   |  108 | 1085170 |\n",
       "| 2018 | zeromq            |  168 | 1085170 |\n",
       "| 2018 | z-index           |  107 | 1085170 |\n",
       "| 2018 | zip               |  410 | 1085170 |\n",
       "| 2018 | zipfile           |  115 | 1085170 |\n",
       "| 2018 | zk                |   35 | 1085170 |\n",
       "| 2018 | zlib              |   89 | 1085170 |\n",
       "| 2018 | zoom              |  196 | 1085170 |\n",
       "| 2018 | zsh               |  175 | 1085170 |\n",
       "| 2018 | zurb-foundation   |  182 | 1085170 |\n",
       "| 2018 | zxing             |   95 | 1085170 |\n",
       "\n"
      ],
      "text/plain": [
       "      year tag                  number year_total\n",
       "1     2008 .htaccess              54   58390     \n",
       "2     2008 .net                 5910   58390     \n",
       "3     2008 .net-2.0              289   58390     \n",
       "4     2008 .net-3.5              319   58390     \n",
       "5     2008 .net-4.0                6   58390     \n",
       "6     2008 .net-assembly           3   58390     \n",
       "7     2008 .net-core               1   58390     \n",
       "8     2008 2d                     42   58390     \n",
       "9     2008 32-bit                 19   58390     \n",
       "10    2008 32bit-64bit             4   58390     \n",
       "11    2008 3d                     73   58390     \n",
       "12    2008 64bit                 149   58390     \n",
       "13    2008 abap                   10   58390     \n",
       "14    2008 absolute                1   58390     \n",
       "15    2008 abstract                5   58390     \n",
       "16    2008 abstract-class         27   58390     \n",
       "17    2008 abstract-syntax-tree    6   58390     \n",
       "18    2008 accelerometer           3   58390     \n",
       "19    2008 access                  1   58390     \n",
       "20    2008 access-control         12   58390     \n",
       "21    2008 accessibility          26   58390     \n",
       "22    2008 access-vba             50   58390     \n",
       "23    2008 access-violation        4   58390     \n",
       "24    2008 accordion               9   58390     \n",
       "25    2008 acl                    11   58390     \n",
       "26    2008 acrobat                10   58390     \n",
       "27    2008 action                 10   58390     \n",
       "28    2008 actionlistener          4   58390     \n",
       "29    2008 actionmailer            3   58390     \n",
       "30    2008 actionscript          136   58390     \n",
       "⋮     ⋮    ⋮                    ⋮      ⋮         \n",
       "40489 2018 yaml                  648   1085170   \n",
       "40490 2018 yarn                  357   1085170   \n",
       "40491 2018 yeoman                 36   1085170   \n",
       "40492 2018 yesod                  41   1085170   \n",
       "40493 2018 yield                  69   1085170   \n",
       "40494 2018 yii                   269   1085170   \n",
       "40495 2018 yii2                 1181   1085170   \n",
       "40496 2018 yii2-advanced-app     209   1085170   \n",
       "40497 2018 yocto                 288   1085170   \n",
       "40498 2018 youtube               676   1085170   \n",
       "40499 2018 youtube-api           473   1085170   \n",
       "40500 2018 youtube-api-v3        223   1085170   \n",
       "40501 2018 youtube-data-api      203   1085170   \n",
       "40502 2018 yui                     5   1085170   \n",
       "40503 2018 yum                    98   1085170   \n",
       "40504 2018 z3                    124   1085170   \n",
       "40505 2018 zend-db                11   1085170   \n",
       "40506 2018 zend-form              13   1085170   \n",
       "40507 2018 zend-framework        188   1085170   \n",
       "40508 2018 zend-framework2       108   1085170   \n",
       "40509 2018 zeromq                168   1085170   \n",
       "40510 2018 z-index               107   1085170   \n",
       "40511 2018 zip                   410   1085170   \n",
       "40512 2018 zipfile               115   1085170   \n",
       "40513 2018 zk                     35   1085170   \n",
       "40514 2018 zlib                   89   1085170   \n",
       "40515 2018 zoom                  196   1085170   \n",
       "40516 2018 zsh                   175   1085170   \n",
       "40517 2018 zurb-foundation       182   1085170   \n",
       "40518 2018 zxing                  95   1085170   "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Load libraries\n",
    "library(readr)\n",
    "library(dplyr)\n",
    "\n",
    "# Load dataset\n",
    "by_tag_year <- read_csv(\"datasets/by_tag_year.csv\")\n",
    "\n",
    "# Inspect the dataset\n",
    "by_tag_year"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "dc": {
     "key": "11"
    },
    "deletable": false,
    "editable": false,
    "run_control": {
     "frozen": true
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    "tags": [
     "context"
    ]
   },
   "source": [
    "## 2. Now in fraction format\n",
    "<p>This data has one observation for each pair of a tag and a year, showing the number of questions asked in that tag in that year and the total number of questions asked in that year. For instance, there were 54 questions asked about the <code>.htaccess</code> tag in 2008, out of a total of 58390 questions in that year.</p>\n",
    "<p>Rather than just the counts, we're probably interested in a percentage: the fraction of questions that year that have that tag. So let's add that to the table.</p>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "dc": {
     "key": "11"
    },
    "tags": [
     "sample_code"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A tibble: 40518 × 5</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>year</th><th scope=col>tag</th><th scope=col>number</th><th scope=col>year_total</th><th scope=col>fraction</th></tr>\n",
       "\t<tr><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>2008</td><td>.htaccess           </td><td>  54</td><td>58390</td><td>9.248159e-04</td></tr>\n",
       "\t<tr><td>2008</td><td>.net                </td><td>5910</td><td>58390</td><td>1.012160e-01</td></tr>\n",
       "\t<tr><td>2008</td><td>.net-2.0            </td><td> 289</td><td>58390</td><td>4.949478e-03</td></tr>\n",
       "\t<tr><td>2008</td><td>.net-3.5            </td><td> 319</td><td>58390</td><td>5.463264e-03</td></tr>\n",
       "\t<tr><td>2008</td><td>.net-4.0            </td><td>   6</td><td>58390</td><td>1.027573e-04</td></tr>\n",
       "\t<tr><td>2008</td><td>.net-assembly       </td><td>   3</td><td>58390</td><td>5.137866e-05</td></tr>\n",
       "\t<tr><td>2008</td><td>.net-core           </td><td>   1</td><td>58390</td><td>1.712622e-05</td></tr>\n",
       "\t<tr><td>2008</td><td>2d                  </td><td>  42</td><td>58390</td><td>7.193013e-04</td></tr>\n",
       "\t<tr><td>2008</td><td>32-bit              </td><td>  19</td><td>58390</td><td>3.253982e-04</td></tr>\n",
       "\t<tr><td>2008</td><td>32bit-64bit         </td><td>   4</td><td>58390</td><td>6.850488e-05</td></tr>\n",
       "\t<tr><td>2008</td><td>3d                  </td><td>  73</td><td>58390</td><td>1.250214e-03</td></tr>\n",
       "\t<tr><td>2008</td><td>64bit               </td><td> 149</td><td>58390</td><td>2.551807e-03</td></tr>\n",
       "\t<tr><td>2008</td><td>abap                </td><td>  10</td><td>58390</td><td>1.712622e-04</td></tr>\n",
       "\t<tr><td>2008</td><td>absolute            </td><td>   1</td><td>58390</td><td>1.712622e-05</td></tr>\n",
       "\t<tr><td>2008</td><td>abstract            </td><td>   5</td><td>58390</td><td>8.563110e-05</td></tr>\n",
       "\t<tr><td>2008</td><td>abstract-class      </td><td>  27</td><td>58390</td><td>4.624079e-04</td></tr>\n",
       "\t<tr><td>2008</td><td>abstract-syntax-tree</td><td>   6</td><td>58390</td><td>1.027573e-04</td></tr>\n",
       "\t<tr><td>2008</td><td>accelerometer       </td><td>   3</td><td>58390</td><td>5.137866e-05</td></tr>\n",
       "\t<tr><td>2008</td><td>access              </td><td>   1</td><td>58390</td><td>1.712622e-05</td></tr>\n",
       "\t<tr><td>2008</td><td>access-control      </td><td>  12</td><td>58390</td><td>2.055146e-04</td></tr>\n",
       "\t<tr><td>2008</td><td>accessibility       </td><td>  26</td><td>58390</td><td>4.452817e-04</td></tr>\n",
       "\t<tr><td>2008</td><td>access-vba          </td><td>  50</td><td>58390</td><td>8.563110e-04</td></tr>\n",
       "\t<tr><td>2008</td><td>access-violation    </td><td>   4</td><td>58390</td><td>6.850488e-05</td></tr>\n",
       "\t<tr><td>2008</td><td>accordion           </td><td>   9</td><td>58390</td><td>1.541360e-04</td></tr>\n",
       "\t<tr><td>2008</td><td>acl                 </td><td>  11</td><td>58390</td><td>1.883884e-04</td></tr>\n",
       "\t<tr><td>2008</td><td>acrobat             </td><td>  10</td><td>58390</td><td>1.712622e-04</td></tr>\n",
       "\t<tr><td>2008</td><td>action              </td><td>  10</td><td>58390</td><td>1.712622e-04</td></tr>\n",
       "\t<tr><td>2008</td><td>actionlistener      </td><td>   4</td><td>58390</td><td>6.850488e-05</td></tr>\n",
       "\t<tr><td>2008</td><td>actionmailer        </td><td>   3</td><td>58390</td><td>5.137866e-05</td></tr>\n",
       "\t<tr><td>2008</td><td>actionscript        </td><td> 136</td><td>58390</td><td>2.329166e-03</td></tr>\n",
       "\t<tr><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td></tr>\n",
       "\t<tr><td>2018</td><td>yaml             </td><td> 648</td><td>1085170</td><td>5.971415e-04</td></tr>\n",
       "\t<tr><td>2018</td><td>yarn             </td><td> 357</td><td>1085170</td><td>3.289807e-04</td></tr>\n",
       "\t<tr><td>2018</td><td>yeoman           </td><td>  36</td><td>1085170</td><td>3.317453e-05</td></tr>\n",
       "\t<tr><td>2018</td><td>yesod            </td><td>  41</td><td>1085170</td><td>3.778210e-05</td></tr>\n",
       "\t<tr><td>2018</td><td>yield            </td><td>  69</td><td>1085170</td><td>6.358451e-05</td></tr>\n",
       "\t<tr><td>2018</td><td>yii              </td><td> 269</td><td>1085170</td><td>2.478874e-04</td></tr>\n",
       "\t<tr><td>2018</td><td>yii2             </td><td>1181</td><td>1085170</td><td>1.088309e-03</td></tr>\n",
       "\t<tr><td>2018</td><td>yii2-advanced-app</td><td> 209</td><td>1085170</td><td>1.925966e-04</td></tr>\n",
       "\t<tr><td>2018</td><td>yocto            </td><td> 288</td><td>1085170</td><td>2.653962e-04</td></tr>\n",
       "\t<tr><td>2018</td><td>youtube          </td><td> 676</td><td>1085170</td><td>6.229439e-04</td></tr>\n",
       "\t<tr><td>2018</td><td>youtube-api      </td><td> 473</td><td>1085170</td><td>4.358764e-04</td></tr>\n",
       "\t<tr><td>2018</td><td>youtube-api-v3   </td><td> 223</td><td>1085170</td><td>2.054978e-04</td></tr>\n",
       "\t<tr><td>2018</td><td>youtube-data-api </td><td> 203</td><td>1085170</td><td>1.870675e-04</td></tr>\n",
       "\t<tr><td>2018</td><td>yui              </td><td>   5</td><td>1085170</td><td>4.607573e-06</td></tr>\n",
       "\t<tr><td>2018</td><td>yum              </td><td>  98</td><td>1085170</td><td>9.030843e-05</td></tr>\n",
       "\t<tr><td>2018</td><td>z3               </td><td> 124</td><td>1085170</td><td>1.142678e-04</td></tr>\n",
       "\t<tr><td>2018</td><td>zend-db          </td><td>  11</td><td>1085170</td><td>1.013666e-05</td></tr>\n",
       "\t<tr><td>2018</td><td>zend-form        </td><td>  13</td><td>1085170</td><td>1.197969e-05</td></tr>\n",
       "\t<tr><td>2018</td><td>zend-framework   </td><td> 188</td><td>1085170</td><td>1.732447e-04</td></tr>\n",
       "\t<tr><td>2018</td><td>zend-framework2  </td><td> 108</td><td>1085170</td><td>9.952358e-05</td></tr>\n",
       "\t<tr><td>2018</td><td>zeromq           </td><td> 168</td><td>1085170</td><td>1.548145e-04</td></tr>\n",
       "\t<tr><td>2018</td><td>z-index          </td><td> 107</td><td>1085170</td><td>9.860206e-05</td></tr>\n",
       "\t<tr><td>2018</td><td>zip              </td><td> 410</td><td>1085170</td><td>3.778210e-04</td></tr>\n",
       "\t<tr><td>2018</td><td>zipfile          </td><td> 115</td><td>1085170</td><td>1.059742e-04</td></tr>\n",
       "\t<tr><td>2018</td><td>zk               </td><td>  35</td><td>1085170</td><td>3.225301e-05</td></tr>\n",
       "\t<tr><td>2018</td><td>zlib             </td><td>  89</td><td>1085170</td><td>8.201480e-05</td></tr>\n",
       "\t<tr><td>2018</td><td>zoom             </td><td> 196</td><td>1085170</td><td>1.806169e-04</td></tr>\n",
       "\t<tr><td>2018</td><td>zsh              </td><td> 175</td><td>1085170</td><td>1.612651e-04</td></tr>\n",
       "\t<tr><td>2018</td><td>zurb-foundation  </td><td> 182</td><td>1085170</td><td>1.677157e-04</td></tr>\n",
       "\t<tr><td>2018</td><td>zxing            </td><td>  95</td><td>1085170</td><td>8.754389e-05</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A tibble: 40518 × 5\n",
       "\\begin{tabular}{lllll}\n",
       " year & tag & number & year\\_total & fraction\\\\\n",
       " <dbl> & <chr> & <dbl> & <dbl> & <dbl>\\\\\n",
       "\\hline\n",
       "\t 2008 & .htaccess            &   54 & 58390 & 9.248159e-04\\\\\n",
       "\t 2008 & .net                 & 5910 & 58390 & 1.012160e-01\\\\\n",
       "\t 2008 & .net-2.0             &  289 & 58390 & 4.949478e-03\\\\\n",
       "\t 2008 & .net-3.5             &  319 & 58390 & 5.463264e-03\\\\\n",
       "\t 2008 & .net-4.0             &    6 & 58390 & 1.027573e-04\\\\\n",
       "\t 2008 & .net-assembly        &    3 & 58390 & 5.137866e-05\\\\\n",
       "\t 2008 & .net-core            &    1 & 58390 & 1.712622e-05\\\\\n",
       "\t 2008 & 2d                   &   42 & 58390 & 7.193013e-04\\\\\n",
       "\t 2008 & 32-bit               &   19 & 58390 & 3.253982e-04\\\\\n",
       "\t 2008 & 32bit-64bit          &    4 & 58390 & 6.850488e-05\\\\\n",
       "\t 2008 & 3d                   &   73 & 58390 & 1.250214e-03\\\\\n",
       "\t 2008 & 64bit                &  149 & 58390 & 2.551807e-03\\\\\n",
       "\t 2008 & abap                 &   10 & 58390 & 1.712622e-04\\\\\n",
       "\t 2008 & absolute             &    1 & 58390 & 1.712622e-05\\\\\n",
       "\t 2008 & abstract             &    5 & 58390 & 8.563110e-05\\\\\n",
       "\t 2008 & abstract-class       &   27 & 58390 & 4.624079e-04\\\\\n",
       "\t 2008 & abstract-syntax-tree &    6 & 58390 & 1.027573e-04\\\\\n",
       "\t 2008 & accelerometer        &    3 & 58390 & 5.137866e-05\\\\\n",
       "\t 2008 & access               &    1 & 58390 & 1.712622e-05\\\\\n",
       "\t 2008 & access-control       &   12 & 58390 & 2.055146e-04\\\\\n",
       "\t 2008 & accessibility        &   26 & 58390 & 4.452817e-04\\\\\n",
       "\t 2008 & access-vba           &   50 & 58390 & 8.563110e-04\\\\\n",
       "\t 2008 & access-violation     &    4 & 58390 & 6.850488e-05\\\\\n",
       "\t 2008 & accordion            &    9 & 58390 & 1.541360e-04\\\\\n",
       "\t 2008 & acl                  &   11 & 58390 & 1.883884e-04\\\\\n",
       "\t 2008 & acrobat              &   10 & 58390 & 1.712622e-04\\\\\n",
       "\t 2008 & action               &   10 & 58390 & 1.712622e-04\\\\\n",
       "\t 2008 & actionlistener       &    4 & 58390 & 6.850488e-05\\\\\n",
       "\t 2008 & actionmailer         &    3 & 58390 & 5.137866e-05\\\\\n",
       "\t 2008 & actionscript         &  136 & 58390 & 2.329166e-03\\\\\n",
       "\t ⋮ & ⋮ & ⋮ & ⋮ & ⋮\\\\\n",
       "\t 2018 & yaml              &  648 & 1085170 & 5.971415e-04\\\\\n",
       "\t 2018 & yarn              &  357 & 1085170 & 3.289807e-04\\\\\n",
       "\t 2018 & yeoman            &   36 & 1085170 & 3.317453e-05\\\\\n",
       "\t 2018 & yesod             &   41 & 1085170 & 3.778210e-05\\\\\n",
       "\t 2018 & yield             &   69 & 1085170 & 6.358451e-05\\\\\n",
       "\t 2018 & yii               &  269 & 1085170 & 2.478874e-04\\\\\n",
       "\t 2018 & yii2              & 1181 & 1085170 & 1.088309e-03\\\\\n",
       "\t 2018 & yii2-advanced-app &  209 & 1085170 & 1.925966e-04\\\\\n",
       "\t 2018 & yocto             &  288 & 1085170 & 2.653962e-04\\\\\n",
       "\t 2018 & youtube           &  676 & 1085170 & 6.229439e-04\\\\\n",
       "\t 2018 & youtube-api       &  473 & 1085170 & 4.358764e-04\\\\\n",
       "\t 2018 & youtube-api-v3    &  223 & 1085170 & 2.054978e-04\\\\\n",
       "\t 2018 & youtube-data-api  &  203 & 1085170 & 1.870675e-04\\\\\n",
       "\t 2018 & yui               &    5 & 1085170 & 4.607573e-06\\\\\n",
       "\t 2018 & yum               &   98 & 1085170 & 9.030843e-05\\\\\n",
       "\t 2018 & z3                &  124 & 1085170 & 1.142678e-04\\\\\n",
       "\t 2018 & zend-db           &   11 & 1085170 & 1.013666e-05\\\\\n",
       "\t 2018 & zend-form         &   13 & 1085170 & 1.197969e-05\\\\\n",
       "\t 2018 & zend-framework    &  188 & 1085170 & 1.732447e-04\\\\\n",
       "\t 2018 & zend-framework2   &  108 & 1085170 & 9.952358e-05\\\\\n",
       "\t 2018 & zeromq            &  168 & 1085170 & 1.548145e-04\\\\\n",
       "\t 2018 & z-index           &  107 & 1085170 & 9.860206e-05\\\\\n",
       "\t 2018 & zip               &  410 & 1085170 & 3.778210e-04\\\\\n",
       "\t 2018 & zipfile           &  115 & 1085170 & 1.059742e-04\\\\\n",
       "\t 2018 & zk                &   35 & 1085170 & 3.225301e-05\\\\\n",
       "\t 2018 & zlib              &   89 & 1085170 & 8.201480e-05\\\\\n",
       "\t 2018 & zoom              &  196 & 1085170 & 1.806169e-04\\\\\n",
       "\t 2018 & zsh               &  175 & 1085170 & 1.612651e-04\\\\\n",
       "\t 2018 & zurb-foundation   &  182 & 1085170 & 1.677157e-04\\\\\n",
       "\t 2018 & zxing             &   95 & 1085170 & 8.754389e-05\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A tibble: 40518 × 5\n",
       "\n",
       "| year &lt;dbl&gt; | tag &lt;chr&gt; | number &lt;dbl&gt; | year_total &lt;dbl&gt; | fraction &lt;dbl&gt; |\n",
       "|---|---|---|---|---|\n",
       "| 2008 | .htaccess            |   54 | 58390 | 9.248159e-04 |\n",
       "| 2008 | .net                 | 5910 | 58390 | 1.012160e-01 |\n",
       "| 2008 | .net-2.0             |  289 | 58390 | 4.949478e-03 |\n",
       "| 2008 | .net-3.5             |  319 | 58390 | 5.463264e-03 |\n",
       "| 2008 | .net-4.0             |    6 | 58390 | 1.027573e-04 |\n",
       "| 2008 | .net-assembly        |    3 | 58390 | 5.137866e-05 |\n",
       "| 2008 | .net-core            |    1 | 58390 | 1.712622e-05 |\n",
       "| 2008 | 2d                   |   42 | 58390 | 7.193013e-04 |\n",
       "| 2008 | 32-bit               |   19 | 58390 | 3.253982e-04 |\n",
       "| 2008 | 32bit-64bit          |    4 | 58390 | 6.850488e-05 |\n",
       "| 2008 | 3d                   |   73 | 58390 | 1.250214e-03 |\n",
       "| 2008 | 64bit                |  149 | 58390 | 2.551807e-03 |\n",
       "| 2008 | abap                 |   10 | 58390 | 1.712622e-04 |\n",
       "| 2008 | absolute             |    1 | 58390 | 1.712622e-05 |\n",
       "| 2008 | abstract             |    5 | 58390 | 8.563110e-05 |\n",
       "| 2008 | abstract-class       |   27 | 58390 | 4.624079e-04 |\n",
       "| 2008 | abstract-syntax-tree |    6 | 58390 | 1.027573e-04 |\n",
       "| 2008 | accelerometer        |    3 | 58390 | 5.137866e-05 |\n",
       "| 2008 | access               |    1 | 58390 | 1.712622e-05 |\n",
       "| 2008 | access-control       |   12 | 58390 | 2.055146e-04 |\n",
       "| 2008 | accessibility        |   26 | 58390 | 4.452817e-04 |\n",
       "| 2008 | access-vba           |   50 | 58390 | 8.563110e-04 |\n",
       "| 2008 | access-violation     |    4 | 58390 | 6.850488e-05 |\n",
       "| 2008 | accordion            |    9 | 58390 | 1.541360e-04 |\n",
       "| 2008 | acl                  |   11 | 58390 | 1.883884e-04 |\n",
       "| 2008 | acrobat              |   10 | 58390 | 1.712622e-04 |\n",
       "| 2008 | action               |   10 | 58390 | 1.712622e-04 |\n",
       "| 2008 | actionlistener       |    4 | 58390 | 6.850488e-05 |\n",
       "| 2008 | actionmailer         |    3 | 58390 | 5.137866e-05 |\n",
       "| 2008 | actionscript         |  136 | 58390 | 2.329166e-03 |\n",
       "| ⋮ | ⋮ | ⋮ | ⋮ | ⋮ |\n",
       "| 2018 | yaml              |  648 | 1085170 | 5.971415e-04 |\n",
       "| 2018 | yarn              |  357 | 1085170 | 3.289807e-04 |\n",
       "| 2018 | yeoman            |   36 | 1085170 | 3.317453e-05 |\n",
       "| 2018 | yesod             |   41 | 1085170 | 3.778210e-05 |\n",
       "| 2018 | yield             |   69 | 1085170 | 6.358451e-05 |\n",
       "| 2018 | yii               |  269 | 1085170 | 2.478874e-04 |\n",
       "| 2018 | yii2              | 1181 | 1085170 | 1.088309e-03 |\n",
       "| 2018 | yii2-advanced-app |  209 | 1085170 | 1.925966e-04 |\n",
       "| 2018 | yocto             |  288 | 1085170 | 2.653962e-04 |\n",
       "| 2018 | youtube           |  676 | 1085170 | 6.229439e-04 |\n",
       "| 2018 | youtube-api       |  473 | 1085170 | 4.358764e-04 |\n",
       "| 2018 | youtube-api-v3    |  223 | 1085170 | 2.054978e-04 |\n",
       "| 2018 | youtube-data-api  |  203 | 1085170 | 1.870675e-04 |\n",
       "| 2018 | yui               |    5 | 1085170 | 4.607573e-06 |\n",
       "| 2018 | yum               |   98 | 1085170 | 9.030843e-05 |\n",
       "| 2018 | z3                |  124 | 1085170 | 1.142678e-04 |\n",
       "| 2018 | zend-db           |   11 | 1085170 | 1.013666e-05 |\n",
       "| 2018 | zend-form         |   13 | 1085170 | 1.197969e-05 |\n",
       "| 2018 | zend-framework    |  188 | 1085170 | 1.732447e-04 |\n",
       "| 2018 | zend-framework2   |  108 | 1085170 | 9.952358e-05 |\n",
       "| 2018 | zeromq            |  168 | 1085170 | 1.548145e-04 |\n",
       "| 2018 | z-index           |  107 | 1085170 | 9.860206e-05 |\n",
       "| 2018 | zip               |  410 | 1085170 | 3.778210e-04 |\n",
       "| 2018 | zipfile           |  115 | 1085170 | 1.059742e-04 |\n",
       "| 2018 | zk                |   35 | 1085170 | 3.225301e-05 |\n",
       "| 2018 | zlib              |   89 | 1085170 | 8.201480e-05 |\n",
       "| 2018 | zoom              |  196 | 1085170 | 1.806169e-04 |\n",
       "| 2018 | zsh               |  175 | 1085170 | 1.612651e-04 |\n",
       "| 2018 | zurb-foundation   |  182 | 1085170 | 1.677157e-04 |\n",
       "| 2018 | zxing             |   95 | 1085170 | 8.754389e-05 |\n",
       "\n"
      ],
      "text/plain": [
       "      year tag                  number year_total fraction    \n",
       "1     2008 .htaccess              54   58390      9.248159e-04\n",
       "2     2008 .net                 5910   58390      1.012160e-01\n",
       "3     2008 .net-2.0              289   58390      4.949478e-03\n",
       "4     2008 .net-3.5              319   58390      5.463264e-03\n",
       "5     2008 .net-4.0                6   58390      1.027573e-04\n",
       "6     2008 .net-assembly           3   58390      5.137866e-05\n",
       "7     2008 .net-core               1   58390      1.712622e-05\n",
       "8     2008 2d                     42   58390      7.193013e-04\n",
       "9     2008 32-bit                 19   58390      3.253982e-04\n",
       "10    2008 32bit-64bit             4   58390      6.850488e-05\n",
       "11    2008 3d                     73   58390      1.250214e-03\n",
       "12    2008 64bit                 149   58390      2.551807e-03\n",
       "13    2008 abap                   10   58390      1.712622e-04\n",
       "14    2008 absolute                1   58390      1.712622e-05\n",
       "15    2008 abstract                5   58390      8.563110e-05\n",
       "16    2008 abstract-class         27   58390      4.624079e-04\n",
       "17    2008 abstract-syntax-tree    6   58390      1.027573e-04\n",
       "18    2008 accelerometer           3   58390      5.137866e-05\n",
       "19    2008 access                  1   58390      1.712622e-05\n",
       "20    2008 access-control         12   58390      2.055146e-04\n",
       "21    2008 accessibility          26   58390      4.452817e-04\n",
       "22    2008 access-vba             50   58390      8.563110e-04\n",
       "23    2008 access-violation        4   58390      6.850488e-05\n",
       "24    2008 accordion               9   58390      1.541360e-04\n",
       "25    2008 acl                    11   58390      1.883884e-04\n",
       "26    2008 acrobat                10   58390      1.712622e-04\n",
       "27    2008 action                 10   58390      1.712622e-04\n",
       "28    2008 actionlistener          4   58390      6.850488e-05\n",
       "29    2008 actionmailer            3   58390      5.137866e-05\n",
       "30    2008 actionscript          136   58390      2.329166e-03\n",
       "⋮     ⋮    ⋮                    ⋮      ⋮          ⋮           \n",
       "40489 2018 yaml                  648   1085170    5.971415e-04\n",
       "40490 2018 yarn                  357   1085170    3.289807e-04\n",
       "40491 2018 yeoman                 36   1085170    3.317453e-05\n",
       "40492 2018 yesod                  41   1085170    3.778210e-05\n",
       "40493 2018 yield                  69   1085170    6.358451e-05\n",
       "40494 2018 yii                   269   1085170    2.478874e-04\n",
       "40495 2018 yii2                 1181   1085170    1.088309e-03\n",
       "40496 2018 yii2-advanced-app     209   1085170    1.925966e-04\n",
       "40497 2018 yocto                 288   1085170    2.653962e-04\n",
       "40498 2018 youtube               676   1085170    6.229439e-04\n",
       "40499 2018 youtube-api           473   1085170    4.358764e-04\n",
       "40500 2018 youtube-api-v3        223   1085170    2.054978e-04\n",
       "40501 2018 youtube-data-api      203   1085170    1.870675e-04\n",
       "40502 2018 yui                     5   1085170    4.607573e-06\n",
       "40503 2018 yum                    98   1085170    9.030843e-05\n",
       "40504 2018 z3                    124   1085170    1.142678e-04\n",
       "40505 2018 zend-db                11   1085170    1.013666e-05\n",
       "40506 2018 zend-form              13   1085170    1.197969e-05\n",
       "40507 2018 zend-framework        188   1085170    1.732447e-04\n",
       "40508 2018 zend-framework2       108   1085170    9.952358e-05\n",
       "40509 2018 zeromq                168   1085170    1.548145e-04\n",
       "40510 2018 z-index               107   1085170    9.860206e-05\n",
       "40511 2018 zip                   410   1085170    3.778210e-04\n",
       "40512 2018 zipfile               115   1085170    1.059742e-04\n",
       "40513 2018 zk                     35   1085170    3.225301e-05\n",
       "40514 2018 zlib                   89   1085170    8.201480e-05\n",
       "40515 2018 zoom                  196   1085170    1.806169e-04\n",
       "40516 2018 zsh                   175   1085170    1.612651e-04\n",
       "40517 2018 zurb-foundation       182   1085170    1.677157e-04\n",
       "40518 2018 zxing                  95   1085170    8.754389e-05"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Add fraction column\n",
    "by_tag_year_fraction <- by_tag_year %>% mutate(fraction = number/year_total)\n",
    "\n",
    "# Print the new table\n",
    "by_tag_year_fraction"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "dc": {
     "key": "18"
    },
    "deletable": false,
    "editable": false,
    "run_control": {
     "frozen": true
    },
    "tags": [
     "context"
    ]
   },
   "source": [
    "## 3. Has R been growing or shrinking?\n",
    "<p>So far we've been learning and using the R programming language. Wouldn't we like to be sure it's a good investment for the future? Has it been keeping pace with other languages, or have people been switching out of it?</p>\n",
    "<p>Let's look at whether the fraction of Stack Overflow questions that are about R has been increasing or decreasing over time.</p>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "dc": {
     "key": "18"
    },
    "tags": [
     "sample_code"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A tibble: 11 × 5</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>year</th><th scope=col>tag</th><th scope=col>number</th><th scope=col>year_total</th><th scope=col>fraction</th></tr>\n",
       "\t<tr><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>2008</td><td>r</td><td>    8</td><td>  58390</td><td>0.0001370098</td></tr>\n",
       "\t<tr><td>2009</td><td>r</td><td>  524</td><td> 343868</td><td>0.0015238405</td></tr>\n",
       "\t<tr><td>2010</td><td>r</td><td> 2270</td><td> 694391</td><td>0.0032690516</td></tr>\n",
       "\t<tr><td>2011</td><td>r</td><td> 5845</td><td>1200551</td><td>0.0048685978</td></tr>\n",
       "\t<tr><td>2012</td><td>r</td><td>12221</td><td>1645404</td><td>0.0074273552</td></tr>\n",
       "\t<tr><td>2013</td><td>r</td><td>22329</td><td>2060473</td><td>0.0108368321</td></tr>\n",
       "\t<tr><td>2014</td><td>r</td><td>31011</td><td>2164701</td><td>0.0143257660</td></tr>\n",
       "\t<tr><td>2015</td><td>r</td><td>40844</td><td>2219527</td><td>0.0184021190</td></tr>\n",
       "\t<tr><td>2016</td><td>r</td><td>44611</td><td>2226072</td><td>0.0200402323</td></tr>\n",
       "\t<tr><td>2017</td><td>r</td><td>54415</td><td>2305207</td><td>0.0236052554</td></tr>\n",
       "\t<tr><td>2018</td><td>r</td><td>28938</td><td>1085170</td><td>0.0266667895</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A tibble: 11 × 5\n",
       "\\begin{tabular}{lllll}\n",
       " year & tag & number & year\\_total & fraction\\\\\n",
       " <dbl> & <chr> & <dbl> & <dbl> & <dbl>\\\\\n",
       "\\hline\n",
       "\t 2008 & r &     8 &   58390 & 0.0001370098\\\\\n",
       "\t 2009 & r &   524 &  343868 & 0.0015238405\\\\\n",
       "\t 2010 & r &  2270 &  694391 & 0.0032690516\\\\\n",
       "\t 2011 & r &  5845 & 1200551 & 0.0048685978\\\\\n",
       "\t 2012 & r & 12221 & 1645404 & 0.0074273552\\\\\n",
       "\t 2013 & r & 22329 & 2060473 & 0.0108368321\\\\\n",
       "\t 2014 & r & 31011 & 2164701 & 0.0143257660\\\\\n",
       "\t 2015 & r & 40844 & 2219527 & 0.0184021190\\\\\n",
       "\t 2016 & r & 44611 & 2226072 & 0.0200402323\\\\\n",
       "\t 2017 & r & 54415 & 2305207 & 0.0236052554\\\\\n",
       "\t 2018 & r & 28938 & 1085170 & 0.0266667895\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A tibble: 11 × 5\n",
       "\n",
       "| year &lt;dbl&gt; | tag &lt;chr&gt; | number &lt;dbl&gt; | year_total &lt;dbl&gt; | fraction &lt;dbl&gt; |\n",
       "|---|---|---|---|---|\n",
       "| 2008 | r |     8 |   58390 | 0.0001370098 |\n",
       "| 2009 | r |   524 |  343868 | 0.0015238405 |\n",
       "| 2010 | r |  2270 |  694391 | 0.0032690516 |\n",
       "| 2011 | r |  5845 | 1200551 | 0.0048685978 |\n",
       "| 2012 | r | 12221 | 1645404 | 0.0074273552 |\n",
       "| 2013 | r | 22329 | 2060473 | 0.0108368321 |\n",
       "| 2014 | r | 31011 | 2164701 | 0.0143257660 |\n",
       "| 2015 | r | 40844 | 2219527 | 0.0184021190 |\n",
       "| 2016 | r | 44611 | 2226072 | 0.0200402323 |\n",
       "| 2017 | r | 54415 | 2305207 | 0.0236052554 |\n",
       "| 2018 | r | 28938 | 1085170 | 0.0266667895 |\n",
       "\n"
      ],
      "text/plain": [
       "   year tag number year_total fraction    \n",
       "1  2008 r       8    58390    0.0001370098\n",
       "2  2009 r     524   343868    0.0015238405\n",
       "3  2010 r    2270   694391    0.0032690516\n",
       "4  2011 r    5845  1200551    0.0048685978\n",
       "5  2012 r   12221  1645404    0.0074273552\n",
       "6  2013 r   22329  2060473    0.0108368321\n",
       "7  2014 r   31011  2164701    0.0143257660\n",
       "8  2015 r   40844  2219527    0.0184021190\n",
       "9  2016 r   44611  2226072    0.0200402323\n",
       "10 2017 r   54415  2305207    0.0236052554\n",
       "11 2018 r   28938  1085170    0.0266667895"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Filter for R tags\n",
    "r_over_time <- by_tag_year_fraction %>% filter(tag == \"r\")\n",
    "\n",
    "# Print the new table\n",
    "r_over_time"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "dc": {
     "key": "25"
    },
    "deletable": false,
    "editable": false,
    "run_control": {
     "frozen": true
    },
    "tags": [
     "context"
    ]
   },
   "source": [
    "## 4. Visualizing change over time\n",
    "<p>Rather than looking at the results in a table, we often want to create a visualization. Change over time is usually visualized with a line plot.</p>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "dc": {
     "key": "25"
    },
    "tags": [
     "sample_code"
    ]
   },
   "outputs": [
    {
     "data": {
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EMKJE8PP8kjgAACCCCAAAIIeFHAnE73\n5ptvqn79+poxY4Z1/ZEXHXLLmQIpNxXWIYAAAggggAACCCDgUoE33nhDU6ZM0YUXXqgXX3xR\nxYsXd2mmBUuLAqlgbuyFAAIIIIAAAggggIDjBL744guZU+tMUWSKoypVqjguh1AHzCx2oRam\nfQQQQAABBBBAAAEEbCCwY8cOa1KGtLQ0azrvevXq2SAq+4VAgWS/MSEiBBBAAAEEEEAAAQSC\nKnDs2DFrOu/Dhw9r1KhRuu2224Lavpsa4xQ7N40muSCAAAIIIIAAAgggcJZAenq6dSPYrVu3\nql27durQocNZW/A0uwAFUnYNHiOAAAIIIIAAAggg4DKBwYMHa+XKlWrevLlGjx7tsuyCnw4F\nUvBNaREBBBBAAAEEEEAAAVsIzJ07V0uWLFGdOnWUmJiomJgYW8Rl5yAokOw8OsSGAAIIIIAA\nAggggEABBd59913reqOKFSvqpZdeUqlSpQrYkrd2o0Dy1niTLQIIIIAAAggggIAHBL7++mt1\n6tRJhQsX1qJFi1StWjUPZB2cFJnFLjiOtIIAAggggAACCCCAgC0E9u7dq3vvvVfJyckyp9g1\nbtzYFnE5JQiOIDllpIgTAQQQQAABBBBAAIF8BExR9Kc//Ul79uzR0KFDdd999+WzBy+fLUCB\ndLYIzxFAAAEEEEAAAQQQcKBARkaGunXrpvXr16tt27ZKSEhwYBaRD5kCKfJjQAQIIIAAAggg\ngAACCAQsMHLkSK1YsUJNmzbV/PnzA27Pqw1wDdJZI28uZCtZsuRZa3kaiEBUVJSio6NxDQTx\nPPsaV7Pwnj0PUACrCxUqZO1tPhNYgicQG/vfr50iRYpYnwvBa5mWzOeBmb6Xz4Pgvxf4rA2+\naVaL5jOhePHiMkc+WAITeOGFFzRv3jxdcskleu2116zJGU6fPs203tlYMzMzsz07/0MKpLNs\nDJx5M7EET8AUSLgGzzN7S1n/0HnPZlcJzmNja76wsQ2OZ1YrWb9o8pmQJRK8n8YU1+B5Zm/J\nuJrvMj4PsqsE57Gx5bM2cMtPPvlEffr0UZkyZfTqq6+qXLlyVqPYFsyWAukst7S0NKWkpJy1\nlqeBCJhfiMxfh3ANRDH3fUuUKGG9gG3uPoGsNUeOUlNTderUqUCaYd+zBMwvQ+Z9a1x5356F\nE+BT85d4c2QO1wAhc9k966gctrngBLiqaNGiOnnypNLT0wNsybu7b9myxbreyBTxCxcuVFxc\nnMzvs2bh99qc7wtfb5JLgZTTjWcIIIAAAggggAACCDhCICkpSY899piOHz+uyZMnW9ceOSJw\nmwfJJA02HyDCQwABBBBAAAEEEEDgbAFzlkP79u21a9cu9ejRQ4888sjZm/C8gAIUSAWEYzcE\nEEAAAQQQQAABBCIlEB8fr3Xr1qlly5YaNGhQpMJwZb8USK4cVpJCAAEEEEAAAQQQcKvApEmT\n9NZbb6lBgwaaMWOGNYmIW3ONRF4USJFQp08EEEAAAQQQQAABBAogsGzZMk2ZMkUXXnihXnzx\nRRUrVqwArbBLXgIUSHnp8BoCCCCAAAIIIIAAAjYRWLt2rRISEqzZQBcvXqzKlSvbJDJ3hcEs\ndu4aT7JBAAEEEEAAAQQQcKHAjh079MQTT1hTopvpvK+44goXZmmPlCiQ7DEORIEAAggggAAC\nCCCAQK4CR48eVZs2bXT48GGNGjVKt956a67bsTI4ApxiFxxHWkEAAQQQQAABBBBAIOgC5ia6\nnTp10tatW/X444+rQ4cOQe+DBnMKUCDl9OAZAggggAACCCCAAAK2ETBTeK9cuVLNmze3jh7Z\nJjAXB0KB5OLBJTUEEEAAAQQQQAAB5wrMmTNHS5cuVZ06dTRv3jzFxMQ4NxkHRU6B5KDBIlQE\nEEAAAQQQQAABbwi8//77Gj16tCpWrKiXXnpJJUuW9EbiNsiSAskGg0AICCCAAAIIIIAAAghk\nCaxfv17du3dXkSJFrHsdVatWLeslfoZBgFnswoBMFwgggAACCCCAAAII+CKwb98+tWvXTikp\nKUpMTFSjRo182Y1tgijAEaQgYtIUAggggAACCCCAAAIFFUhOTraKowMHDmjgwIG69957C9oU\n+wUgQIEUAB67IoAAAggggAACCCAQDIGMjAx169ZNGzdu1EMPPaSePXsGo1naKIAABVIB0NgF\nAQQQQAABBBBAAIFgCowcOVIrVqxQkyZNNHHixGA2TVt+ClAg+QnG5ggggAACCCCAAAIIBFPA\nzFJnpvG++OKL9fzzz6tw4cLBbJ62/BSgQPITjM0RQAABBBBAAAEEEAiWwKeffqrBgwerbNmy\nWrx4scqVKxespmmngAIUSAWEYzcEEEAAAQQQQAABBAIR+OGHH9SpUydFRUVpwYIFuvTSSwNp\njn2DJMA030GCpBkEEEAAAQQQQAABBHwVSEpKUps2bXT8+HFNnTpVTZs29XVXtguxAEeQQgxM\n8wgggAACCCCAAAIIZBdITU3V448/rl27dumpp55S69ats7/M4wgLUCBFeADoHgEEEEAAAQQQ\nQMBbAvHx8fryyy919913W/c78lb29s+WAsn+Y0SECCCAAAIIIIAAAi4RMFN4v/XWW2rQoIGm\nT59uXX/kktRckwYFkmuGkkQQQAABBBBAAAEE7CywbNky63qjuLg4vfjiiypWrJidw/VsbBRI\nnh16EkcAAQQQQAABBBAIl8DatWuVkJCgEiVKWNN5V65cOVxd04+fAsxi5ycYmyOAAAIIIIAA\nAggg4I/Ajh079MQTTyg9PV0LFy5U3bp1/dmdbcMsQIEUZnC6QwABBBBAAAEEEPCOwNGjR63p\nvA8fPqzRo0fr1ltv9U7yDs2UU+wcOnCEjQACCCCAAAIIIGBvAXPEqGPHjtq6davat29vHUWy\nd8REZwQokHgfIIAAAggggAACCCAQAoFBgwbp888/180336yRI0eGoAeaDIUABVIoVGkTAQQQ\nQAABBBBAwNMCc+bM0dKlS3X55ZcrMTFRMTExnvZwUvIUSE4aLWJFAAEEEEAAAQQQsL3Ae++9\nZ11vVKlSJWvGupIlS9o+ZgL8TYAC6TcLHiGAAAIIIIAAAgggEJDA+vXr1aNHDxUpUkSLFi1S\ntWrVAmqPncMvwCx24TenRwQQQAABBBBAAAEXCuzbt0/t2rVTSkqK5s2bp0aNGrkwS/enxBEk\n948xGSKAAAIIIIAAAgiEWMAURW3bttWBAwc0cOBA3XPPPSHukeZDJUCBFCpZ2kUAAQQQQAAB\nBBDwjMDw4cP17bff6qGHHlLPnj09k7cbE6VAcuOokhMCCCCAAAIIIIBA2ATeffdda8a6WrVq\n6dlnnw1bv3QUGgEKpNC40ioCCCCAAAIIIICABwR2796thIQEa1IGM5138eLFPZC1u1NkkgZ3\njy/ZIYAAAggggAACCIRI4PTp0+rWrZuOHTumcePGqW7duiHqiWbDKcARpHBq0xcCCCCAAAII\nIICAawQmTpyodevW6a677rImaHBNYh5PhALJ428A0kcAAQQQQAABBBDwX2DVqlWaMWOGLrzw\nQk2ePNn/BtjDtgIUSLYdGgJDAAEEEEAAAQQQsKNAUlKSdTPYqKgozZw5U+XKlbNjmMRUQAEK\npALCsRsCCCCAAAIIIICANwXi4+Ot+x2ZyRmuu+46byK4OGsKJBcPLqkhgAACCCCAAAIIBFdg\n3rx5+vDDD9WkSRPudxRcWtu0RoFkm6EgEAQQQAABBBBAAAE7C2zYsEFjxoxR2bJlNWvWLMXE\nxNg5XGIroAAFUgHh2A0BBBBAAAEEEEDAOwLJycnq2rWr0tLSNHXqVGtyBu9k761MKZC8Nd5k\niwACCCCAAAIIIFAAgYEDB+qnn35Shw4ddOeddxagBXZxigAFklNGijgRQAABBBBAAAEEIiKw\nbNkyvf7667riiis0dOjQiMRAp+EToEAKnzU9IYAAAggggAACCDhMYPv27TJHj4oVK6Y5c+ao\nSJEiDsuAcP0ViPV3B7ZHAAEEEEAAAQQQQMALAuZ6oy5duujXX3/VlClTVLt2bS+k7fkcOYLk\n+bcAAAgggAACCCCAAAK5CZgZ69avX69WrVrpT3/6U26bsM6FAhRILhxUUkIAAQQQQAABBBAI\nTODjjz+WuedR9erVNWHChMAaY29HCVAgOWq4CBYBBBBAAAEEEEAg1AIHDx60bgIbGxtrXXdU\nqlSpUHdJ+zYSoECy0WAQCgIIIIAAAggggEBkBTIzM63iKCkpyZqcoXHjxpENiN7DLkCBFHZy\nOkQAAQQQQAABBBCwq8DMmTP12Wef6fe//711Y1i7xklcoROgQAqdLS0jgAACCCCAAAIIOEjg\nq6++sq43qlChgqZPn66oqCgHRU+owRKgQAqWJO0ggAACCCCAAAIIOFbg+PHj1hGj06dPW8VR\n5cqVHZsLgQcmQIEUmB97I4AAAggggAACCLhAoH///tq1a5dVJN18880uyIgUCipAgVRQOfZD\nAAEEEEAAAQQQcIXA0qVL9be//U3169e3JmZwRVIkUWABCqQC07EjAggggAACCCCAgNMFtmzZ\nouHDh6tEiRKaO3euChUq5PSUiD9AgdgA92d3BBBAAAEEEEAAAQQcKZCammqdUpeSkiIze91F\nF13kyDwIOrgCHEEKrietIYAAAggggAACCDhE4JlnntF3332n1q1b64EHHnBI1IQZagEKpFAL\n0z4CCCCAAAIIIICA7QTef/99LVq0SJdcconGjBlju/gIKHICFEiRs6dnBBBAAAEEEEAAgQgI\n7N27V3369LGuN5ozZ46KFy8egSjo0q4CFEh2HRniQgABBBBAAAEEEAi6gLnPUffu3fXLL79o\n2LBh+t3vfhf0PmjQ2QIUSM4eP6JHAAEEEEAAAQQQ8ENg6tSp+te//qXbbrtNTz75pB97sqlX\nBCiQvDLS5IkAAggggAACCHhcYM2aNZo2bZqqVKkiUyixIJCbAAVSbiqsQwABBBBAAAEEEHCV\nwJEjR9SjRw9lZmZaU3pXqFDBVfmRTPAEKJCCZ0lLCCCAAAIIIIAAAjYVSEhIkJmcoVevXrrh\nhhtsGiVh2UGAAskOo0AMCCCAAAIIIIAAAiETeOGFF2Sm9b7mmmtkCiUWBPISoEDKS4fXEEAA\nAQQQQAABBBwtsGnTJo0cOVKlS5fWrFmzFBMT4+h8CD70ArGh74IeEEAAAQQQQAABBBAIv0By\ncrI6d+6s1NRU67qjatWqhT8IenScAEeQHDdkBIwAAggggAACCCDgi4C5z9HWrVvVpk0b3X33\n3b7swjYIiAKJNwECCCCAAAIIIICA6wTefvttvfzyy7rssss0YsQI1+VHQqEToEAKnS0tI4AA\nAggggAACCERAYNeuXerXr5+KFi2qxMREFStWLAJR0KVTBbgGyakjR9wIIIAAAggggAAC5wik\np6era9euOn78uCZMmKA6deqcsw0rEMhLgCNIeenwGgIIIIAAAggggICjBMaPH6+vvvpKLVu2\n1GOPPeao2AnWHgIUSPYYB6JAAAEEEEAAAQQQCFBg5cqVmj17tuLi4jR58uQAW2N3rwpQIHl1\n5MkbAQQQQAABBBBwkUBSUpJ69OihqKgoq0gqU6aMi7IjlXAKUCCFU5u+EEAAAQQQQAABBIIu\nkJmZqZ49e+rQoUPW5AzXXHNN0PugQe8IUCB5Z6zJFAEEEEAAAQQQcKWAmanu448/VtOmTfXU\nU0+5MkeSCp8ABVL4rOkJAQQQQAABBBBAIMgC69ev17PPPqvy5ctr5syZio7m19sgE3uuOd5B\nnhtyEkYAAQQQQAABBNwhcOLECXXp0kVpaWmaOnWqLrjgAnckRhYRFaBAiig/nSOAAAIIIIAA\nAggUVGDgwIHavn27OnbsqNtvv72gzbAfAjkEKJBycPAEAQQQQAABBBBAwAkCr732mt544w1d\neeWVGjJkiBNCJkaHCFAgOWSgCBMBBBBAAAEEEEDgvwI//fSTBg8erGLFimnOnDkqXLgwNAgE\nTSA2aC3REAIIIIAAAggggAACIRY4deqUunbtquTkZD333HO69NJLQ9wjzXtNgCNIXhtx8kUA\nAQQQQAABBBwsMGbMGG3YsEEPPPCAHnroIQdnQuh2FaBAsuvIEBcCCCCAAAIIIIBADoF//vOf\nmj9/vmrWrKlx48bleI0nCARLgAIpWJK0gwACCCCAAAIIIBAygQMHDqhXr16KjY3V3LlzVbJk\nyZD1RcPeFqBA8vb4kz0CCCCAAAIIIGB7gYyMDPXo0UOHDx+2Jmdo0KCB7WMmQOcKUCA5d+yI\nHAEEEEAAAQQQ8ITAjBkztGrVKjVv3lydO3f2RM4kGTkBCqTI2dMzAggggAACCCCAQD4C69at\n06RJk1SpUiVNnz5dUVFR+ezBywgEJkCBFJgfeyOAAAIIIIAAAgiESODo0aPWlN6nT5+2iqOK\nFSuGqCeaReA3AQqk3yx4hAACCCCAAAIIIGAjgX79+mnPnj3W9UfNmjWzUWSE4mYBCiQ3jy65\nIYAAAggggAACDhVYsmSJ3nnnHTVq1Ej9+/d3aBaE7UQBCiQnjhoxI4AAAggggAACLhb44Ycf\nNHz4cGsq7zlz5lhTe7s4XVKzmUCszeIhHAQQQAABBBBAAAEPC5w8edKaqc78NMVRjRo1PKxB\n6pEQ4AhSJNTpEwEEEEAAAQQQQCBXgaefflqbN2/WI488olatWuW6DSsRCKUABVIodWkbAQQQ\nQAABBBBAwGeB5cuX66WXXlKtWrU0atQon/djQwSCKUCBFExN2kIAAQQQQAABBBAokICZrS4h\nIUGFCxe2Tq0rXrx4gdphJwQCFeAapEAF2R8BBBBAAAEEEEAgIAFzn6Pu3bvL3PdozJgxqlev\nXkDtsTMCgQhwBCkQPfZFAAEEEEAAAQQQCFhg8uTJWrt2re688061b98+4PZoAIFABCiQAtFj\nXwQQQAABBBBAAIGABFavXq3nnntOVatW1ZQpUwJqi50RCIYABVIwFGkDAQQQQAABBBBAwG+B\npKQkdenSRVFRUZo1a5bKlSvndxvsgECwBSiQgi1KewgggAACCCCAAAI+CXTq1En79+9X7969\ndd111/m0DxshEGoBCqRQC9M+AggggAACCCCAwDkCCxYskJnWu0mTJoqPjz/ndVYgECkBCqRI\nydMvAggggAACCCDgUYGNGzdq9OjR1il1c+fOVUxMjEclSNuOAkzzbcdRISYEEEAAAQQQQMCl\nAsnJyeratatOnTpl3RQ2Li5O6enpLs2WtJwowBEkJ44aMSOAAAIIIIAAAg4VGDJkiH788Uc9\n/vjjuu+++xyaBWG7WYACyc2jS24IIIAAAggggICNBN588029+uqrqlu3roYPH26jyAgFgd8E\nKJB+s+ARAggggAACCCCAQIgEduzYoQEDBqhYsWIy1x0VLVo0RD3RLAKBCXANUmB+7I0AAggg\ngAACCCCQj0BaWpp13dGJEyc0ceJE1a5dO589eBmByAlwBCly9vSMAAIIIIAAAgh4QmDcuHH6\n97//rXvvvVePPvqoJ3ImSecKUCA5d+yIHAEEEEAAAQQQsL3AJ598ojlz5qhatWrW0SPbB0yA\nnhegQPL8WwAABBBAAAEEEEAgNAKHDh1Sz549rfscmSKpdOnSoemIVhEIogAFUhAxaQoBBBBA\nAAEEEEDgvwKZmZlWcfTzzz+rf//+uuqqq6BBwBECFEiOGCaCRAABBBBAAAEEnCVgjhh9+umn\nuvHGG9W9e3dnBU+0nhagQPL08JM8AggggAACCCAQfAEzIYOZmKF8+fKaOXOmoqP5lTP4yrQY\nKgHeraGSpV0EEEAAAQQQQMCDAsePH1eXLl2Unp6u6dOnq3Llyh5UIGUnC1AgOXn0iB0BBBBA\nAAEEELCZgLkZ7M6dO9WpUyfdcsstNouOcBDIX4ACKX8jtkAAAQQQQAABBBDwQeCVV17RW2+9\npfr162vw4ME+7MEmCNhPgALJfmNCRAgggAACCCCAgOMEtm7dqiFDhqhEiRLWfY8KFy7suBwI\nGAEjEAsDAggggAACCCCAAAKBCKSmpqpr165KSUnRjBkzdPHFFwfSHPsiEFEBjiBFlJ/OEUAA\nAQQQQAAB5wuMGjVK3377rf74xz/qwQcfdH5CZOBpAQokTw8/ySOAAAIIIIAAAoEJrFixQs8/\n/7x11OjZZ58NrDH2RsAGArY4xc7MdLJ69WprrvymTZuqZMmSedKY6SNXrVol87NJkyaqUaNG\nju2Tk5Ot9vbu3asrr7xSjRs3zvE6TxBAAAEEEEAAAQQCF9i3b5/i4+NVqFAh67ojc/0RCwJO\nF4j4EaSXXnpJbdq00XfffafXXnvNOn/1yJEj53Xdtm2bWrVqpddff10bN27UE088oTVr1pzZ\n/v3339e9996rd955R99//7369OmjSZMmnXmdBwgggAACCCCAAAKBC2RkZKhHjx4yv7eZyRnM\nzHUsCLhBIKJHkMyRoxdeeEHPPfecGjZsaN1QzNxY7NVXX7VuMJYbsDl0e99996lXr16KiorS\niy++qKlTp8pMK5mZmWk9N2089NBD1u6fffaZ9Y/2/vvvV61atXJrknUIIIAAAggggAACfgqY\n39/+7//+z7rXUceOHf3cm80RsK9ARI8grV27VhdeeKFVHBmi2NhY3XXXXfrggw9yFUtKStKm\nTZusI0imODLLPffcI3MqnTkCdfjwYV1zzTW6/fbbz+zfqFEj67HZhgUBBBBAAAEEEEAgcIG/\n/e1vmjx5sipXrmz9oTvr97LAW6YFBCIvENEjSOa81bi4uBwKpmD6+eefZQ7bRkfnrN/2799v\nbWu2yVoqVKggM8/+wYMHVa9ePeuUuqzXzM9//vOfiomJUZ06dbKvth6bOz2baSmzFnM9k5l9\nxRRqLMETMB+aZgzKli0bvEZpyRIwrmbB1mII6v/M+fTG13wWsQRPIOs9W6xYMeuzO3gt05L5\nrDXfX3weBP+9YH4fMb7YSrt27bJ+13r33Xet647MmTyXXnppgdHNZ22pUqWss4AK3Ag7niOQ\n9VlbvHhxFSlS5JzXvbri9OnTPqUe0UrAFDylS5fOEaj5R2J+ITl69KjKlSuX4zVTUJlBPnug\nzT65Xbf0448/KjExUY8++qiqVKmSoy3zxByp+vXXX8+sN1/YjzzyiPUP/sxKHgRNwPiyhEYA\n29C48seS0LiaVrmBZOhs+TzANhQC5nez2bNna9CgQTpx4oTMpFrz5s2z/jgdaH9Zv8wH2g77\nnyvAZ21Ok1OnTuVccZ5nES2QzF8N0tPTc4SW9dxUvGcvuW1vtjHV4Nnbr1+/XgMHDrTOi+3Q\nocPZTVnPly9fnuOvw6YN848+e9GU646s9EvA/OXN/NXNnALJElyB8uXLW38xNkdQWYIrYP54\nc/LkSfn6YRrc3t3bmvkDl/k8MLOQmhlHWYInYAp6MwvsL7/8ErxGackSqFixovXTnOHixcVM\nipWQkKBvvvnGOtozduxYtW/f3jqqduDAgYBIypQpY/3elfX7X0CNsfMZAfOHEvM9Zg44mO8y\nlv8KmN9JK1WqlC9HRAsk84Gzffv2HEEeO3bMOnJ09lEis5HZ3hRD5ks1e0Fk9qlateqZdj7/\n/HM9/fTTevjhh9W5c+cz689+cMEFF5y9yvrS5pSac1iCsgLXoDDm2gi2ubIEtNJM+mJcsQ2I\n8ZydjatZsD2HJuAVWe/VrJ8BN0gDZwTM+9acYuc1W/P71pQpUzR37lwr9xYtWsgUR+asHGOS\n9e/5DFQBH/B5UEC4PHbLGhvz02vv2zxYrH/Heb2e9VrOi3yy1obp58UXX2xNxZ39rwbmLsxn\nX5eUFU61atWsv5abbbIWM2mDGfis65I+/vhjDR8+XD179syzOMran58IIIAAAggggAACOQU+\n+ugjNW/e3DqtzvwR2lxrtHDhwlwvWci5J88QcL5ARAuk2267zRJcunSpVeT89NNPMqe9mfsi\nZS1mmu733nvPemoOw95xxx3W1ODmVDhzyHDBggXWzHfmcJmZ5W7cuHHWP+iLLrrIOhRsDgeb\n/zi9K0uUnwgggAACCCCAQO4Chw4dUvfu3fXYY49ZswQ/+eST+vTTT3PMEJz7nqxFwD0CET3F\nzpxGN2rUKD3zzDMyRZI5X/KBBx6wLvzLIv7www+tf6DmsK5ZzD2OzPbmZrBm/wYNGuipp56y\nXjOFlDkcbCZfOHuqcHM90t13321tx/8QQAABBBBAAAEEfhMwp2K9/PLLGjlypMylC7/73e80\nceJEbv76GxGPPCQQ9Z9/EP89ITzCSZuL/MxRoLOn9j5fWOYfr5n1pESJEufbpEDrzYXD5ugU\nS/AEzJiayQS8enFr8CTPbclcl2cuzM6aAv/cLVhTUAFzxDolJYVJGgoKeJ79ihYtal1nai4c\nZpKG8yAVcLX5LDAXZXPGRAEB89jN/H5irkFy64Q4P/zwg/r37y9zf0rzx+q+ffuqU6dO1u9Z\nebAE5SUzY7H53Sv75RZBadjjjZhr9c33mJm0xXyXsfxXwNQO5t5d+S0RPYKUPbjcpuHO/vrZ\nj8+eHvzs13mOAAIIIIAAAgggcH4Bcy/IGTNmWP+lpaXJXPpgJmEw13yzIOBlAdsUSF4eBHJH\nAAEEEEAAAQTCKbBq1SoNGDBA5vpv8xd1c/lCq1atwhkCfSFgWwEKJNsODYEhgAACCCCAAALB\nFTCnYI4ePVqvvPKK1bCZjGHo0KHW6ZnB7YnWEHCuAAWSc8eOyBFAAAEEEEAAAZ8Fli1bZt0n\n0hRJderUsSZhuPrqq33enw0R8IoABZJXRpo8EUAAAQQQQMCTAtu3b7dOp1u5cqU1A7CZkMFM\n5V2oUCFPepA0AvkJUCDlJ8TrCCCAAAIIIICAAwXMxAtz587VlClTZCZkuPHGGzV+/HhdfPHF\nDsyGkBEInwAFUvis6QkBBBBAAAEEEAiLwLp169SvXz9t3rzZutWGKYwefvjhsPRNJwg4XYAC\nyekjSPwIIIAAAggggMD/BMx9IseNG6dFixZZa/74xz9qxIgRVpEEEgII+CZAgeSbE1shgAAC\nCCCAAAK2Fli+fLkGDx5s3dDWnEY3YcIE3XDDDbaOmeAQsKMABZIdR4WYEEAAAQQQQAABHwV2\n795tFUYffvihNfFCz549FR8fb03I4GMTbIYAAtkEKJCyYfAQAQQQQAABBBBwisDp06f1/PPP\nW6fUpaSk6Nprr7WOGl122WVOSYE4EbClAAWSLYeFoBBAAAEEEEAAgfMLrF+/Xma6bvOzdOnS\n1v2N2rRpo6ioqPPvxCsIIOCTAAWST0xshAACCCCAAAIIRF4gOTnZusHr/PnzlZGRoXvuuUej\nR49W5cqVIx8cESDgEgEKJJcMJGkggAACCCCAgLsFzDVGgwYN0p49e1StWjXr1LpbbrnF3UmT\nHQIREKBAigA6XSKAAAIIIIAAAr4KHDhwQMOHD9ff//53RUdHq1OnTtbpdcWLF/e1CbZDAAE/\nBCiQ/MBiUwQQQAABBBBAIFwCmZmZWrJkiXUK3fHjx1W/fn3r9Lrf/e534QqBfhDwpAAFkieH\nnaQRQAABBBBAwM4CmzdvVr9+/bRu3TqZI0XmZq9PPvmkdQTJznETGwJuEKBAcsMokgMCCCCA\nAAIIuELg5MmTeu655zRr1iylp6frjjvu0JgxYxQXF+eK/EgCAScIUCA5YZSIEQEEEEAAAQRc\nL7By5UoNGDBA27dvV5UqVaxT6+6++27X502CCNhNgALJbiNCPAgggAACCCDgKYGkpCSNHDlS\nf/3rX637GLVt21ZDhgxRqVKlPOVAsgjYRYACyS4jQRwIIIAAAggg4DkBUxSZ64uOHDmiyy+/\n3JqE4aqrrvKcAwkjYCcBCiQ7jQaxIIAAAggggIAnBH766SfrdLpVq1apaNGiGjhwoLp166bY\nWH4188QbgCRtLcC/QlsPD8EhgAACCCCAgJsE0tLSNHv2bE2bNk2pqan6/e9/r/Hjx6tmzZpu\nSpNcEHC0AAWSo4eP4BFAAAEEEEDAKQJr1661pu7esmWLypcvr0mTJunBBx90SvjEiYBnBCiQ\nPDPUJIoAAggggAACkRA4evSoNVW3uemrWVq3bq3hw4erXLlykQiHPhFAIB8BCqR8gHgZAQQQ\nQAABBBAoqMDbb7+tYcOG6dChQ7r00ks1YcIEXX/99QVtjv0QQCAMAhRIYUCmCwQQQAABBBDw\nlsDu3butiRc++ugjFSpUSPHx8erZs6eKFCniLQiyRcCBAhRIDhw0QkYAAQQQQAABewqcPn1a\nCxYssI4UpaSkqEmTJtbj2rVr2zNgokIAgXMEKJDOIWEFAggggAACCCDgv8A333xjTcKwceNG\nlSlTxrr565///Gfr5q/+t8YeCCAQKQEKpEjJ0y8CCCCAAAIIuELg119/tY4SLVy4UBkZGWrV\nqpVGjRqlihUruiI/kkDAawIUSF4bcfJFAAEEEEAAgaAJrFixQoMHD9bevXtVvXp1jRs3Tjff\nfHPQ2qchBBAIvwAFUvjN6REBBBBAAAEEHC6wf/9+DR06VMuXL1dMTIy6du2qhIQEFS9e3OGZ\nET4CCFAg8R5AAAEEEEAAAQR8FDCn0C1evFhjx47ViRMn1LBhQ02cOFH16tXzsQU2QwABuwtQ\nINl9hIgPAQQQQAABBGwhsGnTJmsShq+++kolSpSwrjNq3769oqOjbREfQSCAQHAEKJCC40gr\nCCCAAAIIIOBSATNd9+jRozVlyhSlp6frrrvu0pgxY1S1alWXZkxaCHhbgALJ2+NP9ggggAAC\nCCCQh4ApiG655RatW7dOF1xwgVUYtWjRIo89eAkBBJwuQIHk9BEkfgQQQAABBBAImcDs2bOt\n4ui+++7TpEmTVLJkyZD1RcMIIGAPAQoke4wDUSCAAAIIIICAzQS2bdumqVOnqnz58po3b551\njyObhUg4CCAQAgGuKgwBKk0igAACCCCAgPMF+vXrp9TUVE2bNo2bvjp/OMkAAZ8FKJB8pmJD\nBBBAAAEEEPCKwF/+8hetXr1azZo10yOPPOKVtMkTAQT+I0CBxNsAAQQQQAABBBDIJnDo0CFr\nCu9ixYpp/Pjx2V7hIQIIeEGAAskLo0yOCCCAAAIIIOCzwJAhQ3T06FENGDBANWrU8Hk/NkQA\nAXcIUCC5YxzJAgEEEEAAAQSCILBixQq98847ql+/vjp06BCEFmkCAQScJkCB5LQRI14EEEAA\nAQQQCInAiRMnNGjQIMXExFhTepufLAgg4D0BCiTvjTkZI4AAAggggEAuAmPGjNG+ffvUrVs3\nXXnllblswSoEEPCCAAWSF0aZHBFAAAEEEEAgT4F169Zp8eLFuuiii9S7d+88t+VFBBBwtwAF\nkrvHl+wQQAABBBBAIB+BU6dOqW/fvsrMzNSECRNkZq9jQQAB7wpQIHl37MkcAQQQQAABBP4j\nMGPGDP3www/W/Y5uvPFGTBBAwOMCFEgefwOQPgIIIIAAAl4W2LJli1UgVaxYUcOGDfMyBbkj\ngMD/BCiQeCsggAACCCCAgCcFzCl1/fr1kznFzkzQULZsWU86kDQCCOQUoEDK6cEzBBBAAAEE\nEPCIgJmUYe3atbrtttt07733eiRr0kQAgfwEKJDyE+J1BBBAAAEEEHCdwP79+62jRiVKlNCz\nzz7ruvxICAEECi4QW/Bd2RMBBBBAAAEEEHCmwODBg2VuDDt27FjFxcU5MwmiRgCBkAhwBCkk\nrDSKAAIIIIAAAnYVePfdd/X++++rcePGatu2rV3DJC4EEIiQAAVShODpFgEEEEAAAQTCL3Ds\n2DENGTJEsbGxmjx5sqKj+VUo/KNAjwjYW4BPBXuPD9EhgAACCCCAQBAFRo0apYMHD6pnz56q\nU6dOEFumKQQQcIsABZJbRpI8EEAAAQQQQCBPgTVr1mjp0qWqVauWnnrqqTy35UUEEPCuAAWS\nd8eezBFAAAEEEPCMQGpqqvr27WvlO2HCBBUpUsQzuZMoAgj4J0CB5J8XWyOAAAIIIICAAwWm\nTp2qn376yZqU4brrrnNgBoSMAALhEqBACpc0/SCAAAIIIIBARAQ2bdqk2bNnq0qVKjLTe7Mg\ngAACeQlQIOWlw2sIIIAAAggg4GiBjIwM69S69PR068awpUuXdnQ+BI8AAqEXoEAKvTE9IIAA\nAggggECEBBYuXKivv/5ad999t1q2bBmhKOgWAQScJECB5KTRIlYEEEAAAQQQ8Flg9+7dGj9+\nvEqVKqXRo0f7vB8bIoCAtwVivZ0+2SOAAAIIIICAWwUGDhyo5ORkmVnrzPVHLAgggIAvAhxB\n8kWJbRBAAAEEEEDAUQJvvvmmPvroIzVp0kSPPvqoo2InWAQQiKwABVJk/ekdAQQQQAABBIIs\ncOTIEQ0fPlyFCxfWxIkTFRUVFeQeaA4BBNwsQIHk5tElNwQQQAABBDwoMGLECCUlJSk+Pl61\natXyoAApI4BAIAIUSIHosS8CCCCAAAII2Epg5cqV+utf/6o6deqoW7dutoqNYBBAwBkCFEjO\nGCeiRAABBBBAAIF8BFJSUtSvXz/rlLrJkyerUKFC+ezBywgggMC5AhRI55qwBgEEEEAAAQQc\nKDBp0iTt3LlTHTp0UOPGjR2YASEjgIAdBCiQ7DAKxIAAAggggAACAQls2LBBiYmJiouL04AB\nAwJqi50RQMDbAhRI3h5/skcAAQQQQMDxAqdPn1bfvn2VkZGhZ599ViVKlHB8TiSAAAKRE6BA\nipw9PSOAAAIIIIBAEATMkSNzBOn+++/XbbfdFoQWaQIBBLwsQIHk5dEndwQQQAABBBwusGPH\nDpkJGcqWLauRI0c6PBvCRwABOwjE2iEIYkAAAQQQQAABBAoiYK43MrPXmVPrKlasWJAm2AcB\nBBDIIcARpBwcPEEAAQQQQAABpwi89tpr+uyzz3TjjTfq4YcfdkrYxIkAAjYXoECy+QARHgII\nIIAAAgicK5CUlKRnnnlGRYsW1YQJE87dgDUIIIBAAQUokAoIx24IIIAAAgggEDmBYcOG6ciR\nI9aNYS+66KLIBULPCCDgOgEKJNcNKQkhgAACCCDgboGPPvpIb731lq688kp17NjR3cmSHQII\nhF2AAins5HSIAAIIIIAAAgUVSE5Otm4EGx0drUmTJik2lvmmCmrJfgggkLsABVLuLqxFAAEE\nEEAAARsKjBs3Tnv27FHnzp1Vv359G0ZISAgg4HQBCiSnjyDxI4AAAggg4BGBr7/+WgsXLlT1\n6tWVkJDgkaxJEwEEwi1AgRRucfpDAAEEEEAAAb8F0tLS1LdvX2VmZlqz1hUvXtzvNtgBAQQQ\n8EWAAskXJbZBAAEEEEAAgYgKzJ49W5s2bdJDDz2kZs2aRTQWOkcAAXcLUCC5e3zJDgEEEEAA\nAccL/Pjjj5o2bZrKly+vp59+2vH5kAACCNhbgKlf7D0+RIcAAggggICnBcwpdf369VNqaqqm\nTJliFUmeBiF5BBAIuQBHkEJOTAcIIIAAAgggUFCBpUuXas2aNWrevLn+8Ic/FLQZ9kMAAQR8\nFqBA8pmKDRFAAAEEEEAgnAIHDx7U6NGjVaxYMWtihnD2TV8IIOBdAQok7449mSOAAAIIIGBr\ngcGDB+vYsWMaOHCgqlWrZutYCQ4BBNwjQIHknrEkEwQQQAABBFwj8P7772v58uVq0KCBOnTo\n4Jq8SAQBBOwvQIFk/zEiQgQQQAABBDwlcPz4cZmjRzExMZo8ebKio/l1xVNvAJJFIMICfOJE\neADoHgEEEEAAAQRyCowZM0b79+9X9+7ddcUVV+R8kWcIIIBAiAUokEIMTPMIIIAAAggg4LvA\n2rVrtXjxYl188cXq3bu37zuyJQIIIBAkAQqkIEHSDAIIIIAAAggEJnDq1Cn17dvXamTixIkq\nWrRoYA2yNwIIIFAAAQqkAqCxCwIIIIAAAggEX2D69OnaunWrHn30UTVt2jT4HdAiAggg4IMA\nBZIPSGyCAAIIIIAAAqEV+OGHHzRjxgxVqlRJQ4cODW1ntI4AAgjkIUCBlAcOLyGAAAIIIIBA\n6AUyMzOtU+vS0tI0duxYlSlTJvSd0gMCCCBwHgEKpPPAsBoBBBBAAAEEwiOwaNEirVu3Tnfc\ncYfuvvvu8HRKLwgggMB5BCiQzgPDagQQQAABBBAIvcDevXuto0YlS5bUs88+G/oO6QEBBBDI\nRyA2n9d5GQEEEEAAAQQQCJmAuSHsr7/+ahVHVatWDVk/NIwAAgj4KsARJF+l2A4BBBBAAAEE\ngirw97//XStWrNDVV1+ttm3bBrVtGkMAAQQKKkCBVFA59kMAAQQQQACBAgscPXrUmq2uUKFC\nmjx5sqKiogrcFjsigAACwRSgQAqmJm0hgAACCCCAgE8CI0eO1KFDh9SrVy/Vrl3bp33YCAEE\nEAiHAAVSOJTpAwEEEEAAAQTOCKxevVovv/yyVRj16NHjzHoeIIAAAnYQoECywygQAwIIIIAA\nAh4ROHnypPr162dlO2nSJBUuXNgjmZMmAgg4RYACySkjRZwIIIAAAgi4QGDq1Knatm2bHn/8\ncV1zzTUuyIgUEEDAbQIUSG4bUfJBAAEEEEDApgLfffedZs+erQsuuECDBg2yaZSEhQACXheg\nQPL6O4D8EUAAAQQQCINARkaGEhISdPr0aeueR6VKlQpDr3SBAAII+C9AgeS/GXsggAACCCCA\ngJ8CCxYs0DfffKN77rlHd955p597szkCCCAQPgEKpPBZ0xMCCCCAAAKeFNi9e7fGjx+v0qVL\na/To0Z40IGkEEHCOQKxzQiVSBBBAAAEEEHCiQP/+/ZWSkqJRo0apcuXKTkyBmBFAwEMCHEHy\n0GCTKgIIIIAAAuEWWLZsmT755BNdf/31euSRR8LdPf0hgAACfgtQIPlNxg4IIIAAAggg4IvA\n4cOH9fTTT6tIkSKaOHGioqKifNmNbRBAAIGIClAgRZSfzhFAAAEEEHCvgCmOTJEUHx+vSy65\nxL2JkhkCCLhKgALJVcNJMggggAACCNhD4NNPP5U5va5u3brq1q2bPYIiCgQQQMAHAQokH5DY\nBAEEEEAAAQR8F0hOTpaZmMGcUjd58mTFxjInlO96bIkAApEWoECK9AjQPwIIIIAAAi4TMNcb\n7dq1S08++aQaNmzosuxIBwEE3C5AgeT2ESY/BBBAAAEEwiiwfv16zZ8/X3FxcRowYEAYe6Yr\nBBBAIDgCFEjBcaQVBBBAAAEEPC+Qnp6uvn37KiMjQxMmTFDx4sU9bwIAAgg4T4ACyXljRsQI\nIIAAAgjYUiAxMVEbN27UAw88oJtvvtmWMRIUAgggkJ8ABVJ+QryOAAIIIIAAAvkKbN++3ZqQ\noVy5cnrmmWfy3Z4NEEAAAbsKMK2MXUeGuBBAAAEEEHCQgJm17uTJk9apdRUqVHBQ5ISKAAII\n5BTgCFJOD54hgAACCCCAgJ8Cr7zyij7//HP9/ve/1x//+Ec/92ZzBBBAwF4CFEj2Gg+iQQAB\nBBBAwFECP//8s0aOHKlixYpZR48cFTzBIoAAArkIUCDlgsIqBBBAAAEEEPBNYOjQofrll1/U\nr18/1ahRw7ed2AoBBBCwsQAFko0Hh9AQQAABBBCws8CHH36ot99+W/Xr11fHjh3tHCqxIYAA\nAj4LRGX+Z/F5aw9saO7dAEnwBzo6Otq6L0bwW/Z2i8bVLOZ9yxJcgaioKD4LgktqtWZcsz4P\n+KwNPnCWbfBbPrfFEydO6Morr9S+ffu0Zs0aNWrU6NyNXLKGz9rQDWQ437Ohy8J+LfNZm/uY\npKWlqWjRorm/mG0ts9hlwzAPf/31V5kPfZbgCZgPv/Lly8ucp84SXIGKFSsqNjZWBw8eDG7D\ntKYyZcooJSVFp06dQiOIAuaLyUwDffz4cSUnJwexZZoynwWlS5fW4cOHw4JhTq3bvXu3unXr\npri4OFd/DlWqVEnmF04+a4P/1sr6PDA3GWYJnoC5SbP5Hjt27Jj1XRa8lp3dUkxMjE8FEqfY\nOXuciR4BBBBAAIGwC3z55Zd64YUXVLNmTSUkJIS9fzpEAAEEQilAgRRKXdpGAAEEEEDAZQLm\nFJW+fftap6BOmDDBmr3OZSmSDgIIeFyAAsnjbwDSRwABBBBAwB+BWbNmafPmzWrdurVuuukm\nf3ZlWwQQQMARAhRIjhgmgkQAAQQQQCDyAlu3btW0adNUoUIFDR8+PPIBEQECCCAQAgEKpBCg\n0iQCCCCAAAJuEzCzDpp7HZmJS0aPHm1NtuG2HMkHAQQQMAIUSLwPEEAAAQQQQCBfgaVLl+pf\n//qXbr31VrVq1Srf7dkAAQQQcKoABZJTR464EUAAAQQQCJPAgQMHNGrUKJmpg8eNGxemXukG\nAQQQiIwABVJk3OkVAQQQQAABxwgMHjzYunfVoEGDrHseOSZwAkUAAQQKIECBVAA0dkEAAQQQ\nQMArAsuXL9d7772nxo0bq3379l5JmzwRQMDDAhRIHh58UkcAAQQQQCAvgWPHjmnIkCGKjY3V\npEmTFB3Nrw15efEaAgi4Q4BPOneMI1kggAACCCAQdAEzW525/qh79+66/PLLg94zLYotAABA\nAElEQVQ+DSKAAAJ2FKBAsuOoEBMCCCCAAAIRFlizZo2WLFmiSy+9VL17945wNHSPAAIIhE+A\nAil81vSEAAIIIICAIwRSU1PVv39/K9aJEyeqSJEijoibIBFAAIFgCMQWpJFly5Zp8uTJ2rFj\nh1JSUmRuHnf2cuTIkbNX8RwBBBBAAAEEHCDw3HPPaevWrXrsscd03XXXOSBiQkQAAQSCJ+B3\ngbR69Wq1bt1axYoVU4MGDVS5cmVFRUUFLyJaQgABBBBAAIGICWzevFkzZ860vt+HDh0asTjo\nGAEEEIiUgN8F0l//+lcVLVpUX331lWrXrh2puOkXAQQQQAABBIIskJGRoYSEBKWnp2vs2LEq\nXbp0kHugOQQQQMD+An5fg7Rv3z5dffXVFEf2H1siRAABBBBAwC8Bc2qd+QNoixYt1LJlS7/2\nZWMEEEDALQJ+F0imODIfnsnJyW4xIA8EEEAAAQQ8L2BmrTPXF1eqVEnjx4/3vAcACCDgXQG/\nC6THH39cF154oUaMGKFTp055V47MEUAAAQQQcIlAUlKSunXrZk26NHv2bFWsWNElmZEGAggg\n4L+A39cgffzxx9Zfl8y0n9OnT1e1atVUokSJc3r+5ptvzlnHCgQQQAABBBCwl4CZibZnz57a\nv3+/+vXrpxtuuMFeARINAgggEGYBvwskM323uT/CNddcE+ZQ6Q4BBBBAAAEEgi0wY8YMmT9+\nNm3aVL169Qp287SHAAIIOE7A7wKpU6dOMv+xIIAAAggggICzBb744guZM0IqVKggc2pddLTf\nZ947G4DoEUAAgVwE/C6QstowU4B+8sknMvdLSEtLU8OGDa3/ypYtm7UJPxFAAAEEEEDApgLm\njJCuXbvKTO2ddd8jm4ZKWAgggEBYBQpUIH355ZcykzVs3LjxnGDNfRMGDRp0znpWIIAAAggg\ngIB9BHr37q29e/cqPj5ezZo1s09gRIIAAghEWMDvAumXX35Rq1atrJvITZkyRU2aNFHJkiW1\nfft2Pf/88xo8eLB1I1nzgcuCAAIIIIAAAvYTMKfTffDBB9Z3eJ8+fewXIBEhgAACERTwu0Ca\nP3++TJFk7oV02WWXnQm9fv36uu+++9S5c2fNmTPH+ovUmRd5gAACCCCAAAK2EDDf3+PGjVP5\n8uWt7+uYmBhbxEUQCCCAgF0E/L4a00zf3bx58xzFUfZkzAQOW7ZssQ7bZ1/PYwQQQAABBBCI\nrMDRo0fVpUsX6ywQM3vdBRdcENmA6B0BBBCwoYDfBZL5S1NeN4jNeu306dM2TJeQEEAAAQQQ\n8K6AOf199+7d1n2Pbr75Zu9CkDkCCCCQh4DfBdLVV1+tTz/9VGvXrj2nWXOzuQkTJlh34K5e\nvfo5r7MCAQQQQAABBCIjMG/ePL3//vvWfQz79u0bmSDoFQEEEHCAgN/XID355JMykzOY0+w6\nduyoa6+9VqVLl7YmaVi0aJF1bZKZrIEFAQQQQAABBOwhYE6PHzNmjMqVK2fd7yg21u+vf3sk\nQhQIIIBAGAT8/oQsVqyYVq1apQ4dOmj69Ok5QjQfvLNmzVL79u1zrOcJAggggAACCERG4Nix\nY9YESuaehdOmTVNcXFxkAqFXBBBAwCECfhdIJq8LL7xQ7733nnUe86ZNm5SUlKRLL71UdevW\ntab8dkjuhIkAAggggIDrBRISErRz505169ZNt99+u+vzJUEEEEAgUIECFUhZnVarVk3mPxYE\nEEAAAQQQsJ+AOeX93XffVaNGjTRgwAD7BUhECCCAgA0F8i2QzF2277jjDjVt2lTmAk9zCp25\nz1F+y8aNG/PbhNcRQAABBBBAIEQCGzZs0MiRI1WmTBklJiaqUKFCIeqJZhFAAAF3CeRbIEVH\nR1unzRUtWtTKvHDhwpxG5673ANkggAACCLhM4MSJE9b9jsytN8wfNTnbw2UDTDoIIBBSgXwL\nJHMTuTVr1pwJwsxcZ/5jQQABBBBAAAF7CvTr10/btm2zvq9btGhhzyCJCgEEELCpgN/3QVq8\neLH69+9/3nTeeust1axZUykpKefdhhcQQAABBBBAIDQC5nv6b3/7m+rXr68hQ4aEphNaRQAB\nBFwskO8RJJP7oUOHZA7Tm+Xrr7+2bhK7Z88e63n2/5ltli9fbs2Wc/LkSZkpwVkQQAABBBBA\nIDwC5rqjp59+WqVKlbKuGzanxbMggAACCPgn4FOB9MILL5wz+01e5zM3bNjQuhmdf6GwNQII\nIIAAAggUVMBcd/TnP/9ZqampmjlzpmrUqFHQptgPAQQQ8LSATwVSfHy80tPTZW4y9/HHH2vH\njh16/PHHz4Ezd+Y2N4t96KGHznmNFQgggAACCCAQOgFz+vuWLVv0xBNP6O677w5dR7SMAAII\nuFzApwLJTA06ePBgi+Lyyy/Xd999Zx3Cd7kN6SGAAAIIIOAIgaVLl+r1119XgwYNNGzYMEfE\nTJAIIICAXQX8nqShdevWVnE0f/58rVix4kxey5YtU/PmzfXee++dWccDBBBAAAEEEAitwObN\nmzV8+HCVKFFCplAqUqRIaDukdQQQQMDlAn4XSOY0u8aNG6tTp07aunXrGZ6YmBh98cUX1mH9\nv/zlL2fW8wABBBBAAAEEQiOQnJxsfR+bmWOnTp2qWrVqhaYjWkUAAQQ8JOB3gfTJJ5/IzJLz\nzjvvqFu3bmeo7r//fu3atUu33367+vTpo4yMjDOv8QABBBBAAAEEgi9gTn831x21bdtW5nuY\nBQEEEEAgcAG/CyRzb4VmzZrlegFo+fLl1bt3bx04cMC6QV3g4dECAggggAACCOQm8Oqrr+q1\n115T3bp1NWLEiNw2YR0CCCCAQAEE/C6QTB9m0obzLaZIMgv3XjifEOsRQAABBBAITMAcNTJH\nj4oXL67ExEQVLVo0sAbZGwEEEEDgjIDfBdLNN99sTfW9atWqM41kPTCn1U2cOFGVK1dW9erV\ns1bzEwEEEEAAAQSCJGCuN+rcubPMz/Hjx3PdUZBcaQYBBBDIEvBpmu+sjc3PO++8U02aNLFm\nrHv44Ydlbgpr7ti9Z88ea4rR77//3ppFJ/s+PEYAAQQQQACB4AgMGTJE5rv20Ucf1YMPPhic\nRmkFAQQQQOCMgN8FUsmSJfXBBx9Ys+aY65Gyz1hnjhqZ54888siZDniAAAIIIIAAAsEReOON\nN/TKK6/osssu08iRI4PTKK0ggAACCOQQ8LtAMnubc50XL16szMxMazIGc/To4osvVlxcnKKi\nonJ0wBMEEEAAAQQQCFzgxx9/VP/+/VWsWDGZexGanywIIIAAAsEXKFCBlBWGKYYuueQS67+s\ndaZo+vzzz3XTTTdlreInAggggAACCAQgcPLkSXXp0kXmvkfTpk1T7dq1A2iNXRFAAAEE8hIo\nUIH0/PPPa9asWTp48KDMjWPNYgqj9PR0HT9+3FpnnrMggAACCCCAQOACw4cP17fffitz7a/5\njwUBBBBAIHQCfs9it3LlSj355JNav369atasad3zqFq1aqpUqZJOnDih6OhozZkzJ3QR0zIC\nCCCAAAIeEnj77be1ZMkSa7a6sWPHeihzUkUAAQQiI+B3gfTOO+9YRdC2bdusU+muuOIK669Z\nGzdutP66VaVKFcXExEQmG3pFAAEEEEDARQLbt29X3759rWt/582bZ933yEXpkQoCCCBgSwG/\nCyRzkej1118vc9TILI0aNdKaNWusx7Vq1bLuyTB06FDrOf9DAAEEEEAAgYIJnDp1yrrfkTk7\nY8yYMbr88ssL1hB7IYAAAgj4JeB3gVSuXLkcM+fUqVNHX3/99ZlOmzZtal2btHv37jPreIAA\nAggggAAC/gmMGDFCGzZs0B/+8Adun+EfHVsjgAACAQn4XSCZv2D93//9n3XtkenZnGJnTgHY\nuXOnFYi5iNRch1SoUKGAAmNnBBBAAAEEvCqwfPlyLVq0yJoldsKECV5lIG8EEEAgIgJ+F0ht\n27a1jiCZKUY//fRT3XLLLSpRooR1N29z8WiPHj2sU/DMtUgsCCCAAAIIIOCfgPmDY58+fVSk\nSBElJiZa37H+tcDWCCCAAAKBCPhdIJnZ6t58803r2iNzXwZzyp2Zte7f//63hgwZol27dqlX\nr16BxMS+CCCAAAIIeFLA3DrD3O/o2LFjGjVqlOrVq+dJB5JGAAEEIilQoPsg3XDDDdbRo6x7\nHbVp00Z33HGHdS2S+TCvXr16JHOibwQQQAABBBwpYIoi8wfHe++9V4899pgjcyBoBBBAwOkC\nfhdIhw4dkplZJy4uTlFRUWfyN6fU3XXXXWee8wABBBBAAAEEfBf4xz/+oQULFlj3GJw0aZLv\nO7IlAggggEBQBfw+xW7hwoWqUaOGNm/eHNRAaAwBBBBAAAGvCpiZX3v37q3ChQtb1x2VKlXK\nqxTkjQACCERcwO8jSJs2bbKC5jS6iI8dASCAAAIIuEAgPT1dXbt21dGjR2UmO6pfv74LsiIF\nBBBAwLkCfh9B6t69uypUqKBhw4bJTNLAggACCCCAAAIFFzA3gf3yyy/VsmVLPf744wVviD0R\nQAABBIIi4PcRJDNLnZmIYcqUKZo2bZo1IYMpmM5ezIc9CwIIIIAAAgicX+Cf//yndUqdOSvD\nfK+yIIAAAghEXsDvAslM0vDLL7+oYcOGZ6LPyMg485gHCCCAAAIIIJC/wN69e9WzZ0/rxurm\nfkelS5fOfye2QAABBBAIuUC+BZK55mjy5MnW/RiqVq2qJ554Qu3atbNuFhvy6OgAAQQQQAAB\nFwqcPn1a3bp105EjR/TMM8/k+KOjC9MlJQQQQMBRAvleg/TDDz/IzFx38OBBKzFzrrQ5T5oF\nAQQQQAABBAomMH78eK1du1Z33nmnOnbsWLBG2AsBBBBAICQC+R5BuvTSS62OJ06cqE6dOmnf\nvn06ceKEvvrqqzwDaty4cZ6v8yICCCCAAAJeFPj44481c+ZM636CU6dO9SIBOSOAAAK2Fsi3\nQDITMtx0001aunSp9V9WNldddVXWw1x/ZmZm5rqelQgggAACCHhVYP/+/XrqqacUGxuruXPn\nqmzZsl6lIG8EEEDAtgL5FkhRUVEys+x8+OGH2rNnj958801t3bpV8fHxtk2KwBBAAAEEELCb\nQNZ1R4cPH9bw4cOV3x8a7RY/8SCAAAJeEci3QDIQhQoVUosWLSyT1NRU634NXbp08YoReSKA\nAAIIIBCwwKRJk7RmzRrdeuut6ty5c8Dt0QACCCCAQGgEfCqQsndtbhTLggACCCCAAAK+C6xc\nuVLTp0+XmQ32ueeekzk7gwUBBBBAwJ4C+c5iZ8+wiQoBBBBAAAFnCJhZYM0fF6OjozVnzhyV\nL1/eGYETJQIIIOBRAQokjw48aSOAAAIIhF7A3Ei9R48e+vnnnzVgwABde+21oe+UHhBAAAEE\nAhKgQAqIj50RQAABBBA4v4CZxvvzzz9X8+bNraNI59+SVxBAAAEE7CJAgWSXkSAOBBBAAAFX\nCaxevVqmQKpSpYpmzJjBdUeuGl2SQQABNwtQILl5dMkNAQQQQCAiAklJSerWrZvV9+zZs1Wh\nQoWIxEGnCCCAAAL+C1Ag+W/GHggggAACCJxXwNwo3Vx3ZCZn6Nevn66//vrzbssLCCCAAAL2\nE6BAst+YEBECCCCAgIMFzHTen376qW666SY99dRTDs6E0BFAAAFvClAgeXPcyRoBBBBAIAQC\n//rXvzRx4kRVqlRJM2fOtKb2DkE3NIkAAgggEEIBCqQQ4tI0AggggIB3BLKuOzKn2M2aNcsq\nkryTPZkigAAC7hGgQHLPWJIJAggggECEBExR1KtXL+3bt0/x8fG68cYbIxQJ3SKAAAIIBCpA\ngRSoIPsjgAACCHhewMxU99FHH1kTMvTp08fzHgAggAACThagQHLy6BE7AggggEDEBdatW6dx\n48ZZU3mbQik6mq/WiA8KASCAAAIBCPApHgAeuyKAAAIIeFvgyJEj6tq1q06fPm3dDNbcFJYF\nAQQQQMDZAhRIzh4/okcAAQQQiKBA7969tWfPHvXs2VPNmzePYCR0jQACCCAQLAEKpGBJ0g4C\nCCCAgKcEEhMT9cEHH6hJkybWDWE9lTzJIoAAAi4WoEBy8eCSGgIIIIBAaAS+/vprjRkzRuXL\nl5e57igmJiY0HdEqAggggEDYBSiQwk5OhwgggAACThY4evSoOnfurPT0dE2fPl1Vq1Z1cjrE\njgACCCBwlgAF0lkgPEUAAQQQQCAvATON9+7du9W9e3fdcssteW3KawgggAACDhSgQHLgoBEy\nAggggEBkBBYsWKD33ntPV199tQYMGBCZIOgVAQQQQCCkAhRIIeWlcQQQQAABtwisX79eo0aN\nUtmyZTVnzhzFxsa6JTXyQAABBBDIJkCBlA2DhwgggAACCOQmcPz4ceu6o7S0NE2bNk1xcXG5\nbcY6BBBAAAEXCFAguWAQSQEBBBBAILQCCQkJ2rFjh1Uk3XHHHaHtjNYRQAABBCIqQIEUUX46\nRwABBBCwu8CiRYv0zjvvqFGjRho8eLDdwyU+BBBAAIEABSiQAgRkdwQQQAAB9wps3LhRI0aM\nUOnSpTV37lwVKlTIvcmSGQIIIICAJcAVprwREEAAAQQQyEXgxIkT1il1p06dsm4GW7169Vy2\nYhUCCCCAgNsEOILkthElHwQQQACBoAj0799f27ZtU4cOHdSyZcugtEkjCCCAAAL2F6BAsv8Y\nESECCCCAQJgFlixZorfeekv169fXsGHDwtw73SGAAAIIRFKAAimS+vSNAAIIIGA7gU2bNmn4\n8OEqVaqUEhMTVbhwYdvFSEAIIIAAAqET4Bqk0NnSMgIIIICAwwSSk5Ot645Onjyp6dOnq2bN\nmg7LgHARQAABBAIV4AhSoILsjwACCCDgGoEBAwZo69atateune655x7X5EUiCCCAAAK+C1Ag\n+W7FlggggAACLhZ45ZVXtGzZMl155ZXW1N4uTpXUEEAAAQTyEKBAygOHlxBAAAEEvCHwww8/\naMiQISpRooR1v6MiRYp4I3GyRAABBBA4R4BrkM4hYQUCCCCAgJcEzHVHnTp1UkpKinW/o0su\nucRL6ZMrAggggMBZAhxBOguEpwgggAAC3hIwR47MEaTHHntM999/v7eSJ1sEEEAAgXMEKJDO\nIWEFAggggIBXBF5//XW9+uqrqlu3rkaOHOmVtMkTAQQQQCAPAQqkPHB4CQEEEEDAvQJbtmyR\nmbWuWLFi1v2OihYt6t5kyQwBBBBAwGcBrkHymYoNEUAAAQTcIpD9uqMZM2aoVq1abkmNPBBA\nAAEEAhTgCFKAgOyOAAIIIOA8AXPkaPPmzWrTpo0efPBB5yVAxAgggAACIROgQAoZLQ0jgAAC\nCNhRYPHixdb9jurVq6dnnnnGjiESEwIIIIBABAUokCKIT9cIIIAAAuEV2LBhg55++mmVKlVK\n8+fPF9cdhdef3hBAAAEnCHANkhNGiRgRQAABBAIWOHbsmHW/o9TUVM2aNUsXXXRRwG3SAAII\nIICA+wQ4guS+MSUjBBBAAIFcBOLj47Vjxw517dpVLVu2zGULViGAAAIIICBRIPEuQAABBBBw\nvYA5YvTee+/pmmuu0aBBg1yfLwkigAACCBRcgAKp4HbsiQACCCDgAIG1a9dq3LhxKl++vObO\nnavYWM4ud8CwESICCCAQMQEKpIjR0zECCCCAQKgFkpKS1KVLF2VkZFjXHVWtWjXUXdI+Aggg\ngIDDBSiQHD6AhI8AAgggkLuAKYq6d++u/fv3q1+/fmrWrFnuG7IWAQQQQACBbAIUSNkweIgA\nAggg4B6BiRMn6rPPPrMKo549e7onMTJBAAEEEAipAAVSSHlpHAEEEEAgEgKffPKJpk+fLnNK\n3cyZMxUdzdddJMaBPhFAAAEnCvCN4cRRI2YEEEAAgfMK7N27Vz169FBMTIw1KUOFChXOuy0v\nIIAAAgggcLYABdLZIjxHAAEEEHCsQFpamjUpw+HDhzVs2DBrWm/HJkPgCCCAAAIREaBAigg7\nnSKAAAIIhEJg5MiRWrdunVq0aKGOHTuGogvaRAABBBBwuQAFkssHmPQQQAABrwgsX75cCxcu\nVM2aNTV16lSvpE2eCCCAAAJBFqBACjIozSGAAAIIhF9g27Zt6t27t4oUKaL58+erdOnS4Q+C\nHhFAAAEEXCHA7cRdMYwkgQACCHhX4OTJk+rUqZNOnDghM7X3lVde6V0MMkcAAQQQCFjAFgXS\nzp07tXr1apUvX15NmzZVyZIl80zs+PHjWrVqlczPJk2aqEaNGrlub+5/UapUKTVq1CjX11mJ\nAAIIIOB8gaFDh+rbb79V69at9eijjzo/ITJAAAEEEIioQMRPsXvppZfUpk0bfffdd3rttdfU\ntWtXHTly5Lwo5jSKVq1a6fXXX9fGjRv1xBNPaM2aNeds/+9//1vDhw+32j3nRVYggAACCLhC\n4JVXXtFf/vIX1alTR2PGjHFFTiSBAAIIIBBZgYgeQTJHjl544QU999xzatiwodLT063pWV99\n9VXrZ240zz77rO677z716tVLUVFRevHFF62Lcc2XpHlu2jBFl/nPPGdBAAEEEHCnwPfff68h\nQ4aoRIkS1nVHxYsXd2eiZIUAAgggEFaBiBZIa9eu1YUXXmgVRybr2NhY3XXXXXr55ZdzLZCS\nkpK0adMmDRo06Ezxc88992jBggXWkaJ69erJzGL07rvvauzYsZo9e3aemMeOHVNmZuaZbQoX\nLmy1S2F1hiQoD7I8s34GpVEaySGAbQ6OoD0xrtgGjdNqKMszUFtzvZGZxjslJUWJiYmqXbt2\ncAN1YGvZbR0YviNCzjJ2RLAOCjLQzwMHpRqRUHnf/sbuq0VEC6R9+/YpLi7ut6j/88gUTD//\n/LMyMjIUHZ3zDMD9+/db25ptshZzh3RT2Bw8eFCmQLrhhhvUsmVLq9jKr0Bq3ry5fv3116ym\n9MADD8gcocrvGqgzO/DAL4ELLrjAr+3Z2HcBbH238mdLjkj4o+XftmaWuUBmmjPXG/3444/W\n2QRmggaW3wT4PPjNItiPsA226H/bK1q0aGgaplWVLVsWhWwCp06dyvbs/A8jWiCZgufsL0gz\nqYIpjo4ePapy5crliNwUVGYKV/Nf9sXsk3XdkimYfF1MMWVmP8pazDns5hQ98x9L8ARMtV6o\nUCH5+qYMXs/ubynrqGdqaqr7kw1zhuY9e/r0aevzKMxdu7o784cv875NS0uzfAuS7MyZM61r\nVq+++mqZG8Nm/xwvSHtu2cd81pozMYwtS3AF+KwNrmf21sxnrfm9K/sZPdlf53HBBGJiYs78\n7mV+r2b5r4D5Xjf/nvNbIlogZf2jyB5kVnGS219uc9ve7GuS/f/27gM8impt4PgbIAQCSO9F\nQBAQG1jAcq+ISBO9ChYQUekdRCmhRQEpoUhTepEmSL0W4IoIWFCwiwIqiEgH6b3ny3vu3Xyb\nJbCbbJud+c/zQHZ3Zk75ndnZfffMnJPa9u7ppvZ47NixV7ysI+PppRssgRPQL0Q6QqEriA1c\nyqSUL18+84UI28AfCzlz5jSXbxHYB9ZWfynWD6fTp0+bf2lN/YcffpBevXqZX0X1KgG9CsD9\nSoC0pmen7TU40h8dOR8EvlXz589vLrfFNvC2+mO4fvdyff8LfA7OTFG/F+vnmJ5r9VJklv8K\naOCo9616W1Jew+Zt6wCv1y93+qZwX/S+IH2zePYS6Ta6vQZD2tjui+5TuHBh95d4jAACCCBg\nMwH9cqqX02kPif7AVaxYMZvVkOoggAACCFhBIKwBUqlSpURHIXL/1UDnsvC8L8kFpR+G+guZ\nbuNadNAG7Tp0vy/JtY6/CCCAAAL2ENDLbzp27Ci7d+829x099NBD9qgYtUAAAQQQsJxAWAOk\nGjVqGJA5c+aYIGfbtm1mFDqdF8m16GSvy5cvN0+1q7BmzZpmaHC9DE6vO9cR7HTkO+3+ZkEA\nAQQQsKeATgexatUqM5l4165d7VlJaoUAAgggYAmBsAZIehndgAEDZMmSJSbI6dKlixlJ7t57\n703GWblypSxatCj5eZs2bcz1648++qg8/vjjpkdJf1VkQQABBBCwp8DatWtl+PDhUqBAARk/\nfrzoNeQsCCCAAAIIBEsgKumyhf+fCChYufiQ7v79+00vkOfQ3lfbVe878vVGq6ulkdrrDNKQ\nmop/r7kGadDh21kCK+AapME1BH5gU3d2agzSEJz210Ea9D5THanU837S1HLUz4aHH35YDh8+\nLAsWLJB77rkntc14LUnANUiDWrEEVsA1SINOKcISWAEGaQispys11yANR48eZZAGF0rSX40d\n9Mc2b0tYR7FzL1zBggXdn3p97Dk8uNcd2AABBBBAIKIEdFAevWpAf1zp06cPwVFEtR6FRQAB\nBCJXIKyX2EUuGyVHAAEEEAi2wKBBg2T9+vWi96u2bds22NmRPgIIIIAAAkaAAIkDAQEEEEDA\ncgIff/yxud9IRy8dM2aMmYPGcoWkQAgggAACthQgQLJls1IpBBBAIHIFdu7cKZ06dTKzwE+e\nPNlMChu5taHkCCCAAAKRJmCZe5AiDY7yIoAAAggEXuD8+fPSsmVLM4jDkCFD5Lbbbgt8JqSI\nAAIIIIDANQToQboGDqsQQAABBEIr0LdvX9mwYYOZxuH5558PbebkhgACCCCAQJIAARKHAQII\nIICAJQR0TrxZs2ZJmTJlZNiwYZYoE4VAAAEEEHCeAAGS89qcGiOAAAKWE9iyZYt069ZNsmbN\nKnrfUbZs2SxXRgqEAAIIIOAMAe5BckY7U0sEEEDAsgI6YWyLFi3MxLFjx46VcuXKWbasFAwB\nBBBAwP4C9CDZv42pIQIIIGBpge7du4v2IDVp0kQaNGhg6bJSOAQQQAAB+wsQINm/jakhAggg\nYFmBmTNnyuLFi+WWW26R/v37W7acFAwBBBBAwDkCBEjOaWtqigACCFhKQEeri4+Pl+uuu04m\nTZokMTExliofhUEAAQQQcKYA9yA5s92pNQIIIBBWgaNHj0qrVq1E5z2aMGGCXH/99WEtD5kj\ngAACCCDgEqAHySXBXwQQQACBkAm0a9dOduzYIfq3du3aIcuXjBBAAAEEEPAmQIDkTYj1CCCA\nAAIBFRg6dKgsW7ZM7r77bomLiwto2iSGAAIIIICAvwIESP4Ksj8CCCCAgM8C69atk969e0u+\nfPnMpXWZMnGlt894bIgAAgggEBIBAqSQMJMJAggggMDBgwelWbNmcvnyZZkyZYoUKlQIFAQQ\nQAABBCwnQIBkuSahQAgggID9BDQo0vuN9u3bJ/369ZNq1arZr5LUCAEEEEDAFgIESLZoRiqB\nAAIIWFtg2LBh8sUXX0j16tWlV69e1i4spUMAAQQQcLQAAZKjm5/KI4AAAsEXWL16tYwZM0aK\nFCkiEydOlAwZ+OgJvjo5IIAAAgikV4BPqfTKsR8CCCCAgFeB3bt3S8eOHSVjxoxmUIa8efN6\n3YcNEEAAAQQQCKcAAVI49ckbAQQQsLHAhQsXpHXr1nL48GGJj4+XO++808a1pWoIIIAAAnYR\nIECyS0tSDwQQQMBiAv3795fvv/9e6tatKy1atLBY6SgOAggggAACqQsQIKXuwqsIIIAAAn4I\nLF26VKZOnSqlSpWSkSNH+pESuyKAAAIIIBBaAQKk0HqTGwIIIGB7gW3btkmXLl0kS5YsMmnS\nJMmRI4ft60wFEUAAAQTsI8AU5vZpS2qCAAIIhF3gzJkz0qpVKzl58qSMGDFCKlasGPYyUQAE\nEEAAAQTSIkAPUlq02BYBBBBA4JoCvXv3lk2bNknDhg2lUaNG19yWlQgggAACCFhRgADJiq1C\nmRBAAIEIFJg7d67MmzdPypcvLwMHDozAGlBkBBBAAAEERAiQOAoQQAABBPwW2Lx5s2jvUbZs\n2WTy5MmSNWtWv9MkAQQQQAABBMIhwD1I4VAnTwQQQMBGAnq/UcuWLeXs2bMyceJEueGGG2xU\nO6qCAAIIIOA0AXqQnNbi1BcBBBAIsMDLL78sOnKdznX06KOPBjh1kkMAAQQQQCC0AgRIofUm\nNwQQQMBWAno53YcffiiVKlWSvn372qpuVAYBBBBAwJkCBEjObHdqjQACCPgt8P3338uAAQMk\nd+7c5tK66Ohov9MkAQQQQAABBMItQIAU7hYgfwQQQCACBQ4fPmzmO7p48aKMHTtWihUrFoG1\noMgIIIAAAghcKUCAdKUJryCAAAIIXEMgMTFROnToIHv27JGXXnpJqlevfo2tWYUAAggggEBk\nCRAgRVZ7UVoEEEAg7AKjRo2SNWvWyH333Sddu3YNe3koAAIIIIAAAoEUIEAKpCZpIYAAAjYX\n+OKLL2T48OFSoEABGT9+vGTIwMeIzZuc6iGAAAKOE+CTzXFNToURQACB9Ans379f2rZta4Ki\nCRMmSL58+dKXEHshgAACCCBgYQECJAs3DkVDAAEErCKggzG0adNGDh06JD179pSqVatapWiU\nAwEEEEAAgYAKECAFlJPEEEAAAXsKDB48WNavXy81a9Y0vUj2rCW1QgABBBBAQIQAiaMAAQQQ\nQOCaAh999JG536h48eIyevRoiYqKuub2rEQAAQQQQCCSBQiQIrn1KDsCCCAQZIEdO3ZI586d\nJXPmzDJ58mTJmTNnkHMkeQQQQAABBMIrkCm82ZM7AggggIBVBc6dO2cmgz1+/LgkJCTIrbfe\natWiUi4EEEAAAQQCJkAPUsAoSQgBBBCwl0Dfvn1lw4YN8sQTT0iTJk3sVTlqgwACCCCAwFUE\nCJCuAsPLCCCAgJMFFi1aJLNnz5YyZcrIsGHDnExB3RFAAAEEHCZAgOSwBqe6CCCAgDeBLVu2\nSPfu3SVr1qwydepUiY2N9bYL6xFAAAEEELCNAPcg2aYpqQgCCCDgv8Dp06elefPmcubMGRk7\ndqyULVvW/0RJAQEEEEAAgQgSoAcpghqLoiKAAALBFujWrZts3brV3HPUoEGDYGdH+ggggAAC\nCFhOgADJck1CgRBAAIHwCMyYMUOWLFliRqvr379/eApBrggggAACCIRZgAApzA1A9ggggIAV\nBHS0uldffVWuu+46mTRpksTExFihWJQBAQQQQACBkAtwD1LIyckQAQQQsJbAsWPHpGXLlnL+\n/HmZOHGilChRwloFpDQIIIAAAgiEUIAepBBikxUCCCBgNYHExETp3Lmz7Ny5U9q1aye1atWy\nWhEpDwIIIIAAAiEVIEAKKTeZIYAAAtYSGDdunKxYsUKqVKkicXFx1iocpUEAAQQQQCAMAgRI\nYUAnSwQQQMAKAuvWrZMhQ4ZI3rx5ZcKECZIpE1ddW6FdKAMCCCCAQHgFCJDC60/uCCCAQFgE\nDh48KG3atJHLly/L+PHjpWDBgmEpB5kigAACCCBgNQECJKu1COVBAAEEgiygQVHbtm3lwIED\novMe3X///UHOkeQRQAABBBCIHAECpMhpK0qKAAIIBERg6NChsnbtWqlWrZoZoCEgiZIIAggg\ngAACNhEgQLJJQ1INBBBAwBeBVatWyZgxY6RIkSLy5ptvSlRUlC+7sQ0CCCCAAAKOESBAckxT\nU1EEEHC6wK5du6Rjx45mMAadDDZPnjxOJ6H+CCCAAAIIXCFAgHQFCS8ggAAC9hO4cOGCtG7d\nWo4cOSLx8fFSuXJl+1WSGiGAAAIIIBAAAQKkACCSBAIIIGB1gX79+skPP/wg9erVkxYtWli9\nuJQPAQQQQACBsAkQIIWNnowRQACB0AjooAzTpk2T0qVLyxtvvBGaTMkFAQQQQACBCBVgVsAI\nbTiKjQACCPgioBPB6qAMRYsWlTlz5kj27Nl92Y1tEEAAAQQQcKwAAZJjm56KI4CA3QUGDhwo\nb731lhQrVkwWLVokxYsXt3uVqR8CCCCAAAJ+CxAg+U1IAggggID1BPSeo4kTJ0qJEiVk4cKF\nJkiyXikpEQIIIIAAAtYTIECyXptQIgQQQMAvgb59+8rUqVOlZMmSJjjSOY9YEEAAAQQQQMA3\nAQIk35zYCgEEELC8QGJiovTq1UtmzJghN9xwgyxYsEAKFSpk+XJTQAQQQAABBKwkQIBkpdag\nLAgggEA6BTQ46tGjh8yePVvKlCljeo4KFCiQztTYDQEEEEAAAecKECA5t+2pOQII2ETg8uXL\n0q1bN5k7d66UK1fO9Bzly5fPJrWjGggggAACCIRWgAAptN7khgACCARUQIOjLl26mKCoQoUK\nMn/+fMmbN29A8yAxBBBAAAEEnCTARLFOam3qigACthK4dOmSdOrUyQRHN998s/lLcGSrJqYy\nCCCAAAJhEKAHKQzoZIkAAgj4K3Dx4kXp0KGDvP/++3LrrbfKvHnzJFeuXP4my/4IIIAAAgg4\nXoAAyfGHAAAIIBBpAhoctW3bVpYuXSqVKlUy9x5dd911kVYNyosAAggggIAlBbjEzpLNQqEQ\nQACB1AUuXLggrVq1MsHRnXfeaXqOCI5St+JVBBBAAAEE0iNAD1J61NgHAQQQCIPA+fPnpWXL\nlvLxxx9LlSpVzJDe2bJlC0NJyBIBBBBAAAH7ChAg2bdtqRkCCNhI4Ny5c9KsWTNZvXq13HPP\nPTJr1iyJjY21UQ2pCgIIIIAAAtYQ4BI7a7QDpUAAAQSuKnDmzBl58cUXTXB0//33ExxdVYoV\nCCCAAAII+C9AgOS/ISkggAACQRM4ffq0vPDCC/Lpp5/KAw88IDNmzKDnKGjaJIwAAggggIAI\nl9hxFCCAAAIWFdDgqEmTJvLVV1/Jgw8+KNOmTZOYmBiLlpZiIYAAAgggYA8BepDs0Y7UAgEE\nbCZw6tQpady4sQmOHn74YZk+fTrBkc3amOoggAACCFhTgADJmu1CqRBAwMECJ06ckEaNGsn6\n9euldu3aMmXKFMmcObODRag6AggggAACoRMgQAqdNTkhgAACXgWOHz8uDRs2lG+//Vbq1q0r\nEydOlOjoaK/7sQECCCCAAAIIBEaAACkwjqSCAAII+C1w9OhRefrpp+WHH36Qxx57TCZMmEBw\n5LcqCSCAAAIIIJA2AQKktHmxNQIIIBAUgSNHjpjgaMOGDVK/fn156623JFMmxtEJCjaJIoAA\nAgggcA0BAqRr4LAKAQQQCIXAoUOH5KmnnpJffvlFnnzySRkzZoxkzJgxFFmTBwIIIIAAAgh4\nCBAgeYDwFAEEEAilwMGDB01QtGnTJnPv0ahRoyRDBk7NoWwD8kIAAQQQQMBdgE9hdw0eI4AA\nAiEUOHDggLmc7rfffpPnnntORowYQXAUQn+yQgABBBBAIDUBAqTUVHgNAQQQCLLAvn37pEGD\nBrJ161Z54YUXJCEhQaKiooKcK8kjgAACCCCAgDcBAiRvQqxHAAEEAiywZ88eExz98ccf0rx5\ncxk8eDDBUYCNSQ4BBBBAAIH0ChAgpVeO/RBAAIF0COzatctcVvfnn39Kq1atZMCAAelIhV0Q\nQAABBBBAIFgCjCEbLFnSRQABBDwEdu7caXqONEhq166d9OnTx2MLniKAAAIIIIBAuAUIkMLd\nAuSPAAKOEPjrr7/MaHW7d++WTp06SVxcnCPqTSURQAABBBCINAECpEhrMcqLAAIRJ7Bt2zYz\nz9HevXulS5cu0q1bt4irAwVGAAEEEEDAKQIESE5paeqJAAJhEdBR6nQS2P3790v37t3lpZde\nCks5yBQBBBBAAAEEfBMgQPLNia0QQACBNAv8/vvvJjj6+++/pVevXtKhQ4c0p8EOCCCAAAII\nIBBaAQKk0HqTGwIIOETg119/NcHRoUOHJD4+Xtq0aeOQmlNNBBBAAAEEIluAACmy24/SI4CA\nBQU2btwozzzzjBw+fFj69esnLVu2tGApKRICCCCAAAIIpCZAgJSaCq8hgAAC6RT4+eefTXB0\n9OhRGThwoDRt2jSdKbEbAggggAACCIRDgAApHOrkiQACthT46aefpGHDhnLs2DFJSEiQJk2a\n2LKeVAoBBBBAAAE7CxAg2bl1qRsCCIRM4Pvvv5dGjRrJyZMnZfjw4fLss8+GLG8yQgABBBBA\nAIHACRAgBc6SlBBAwKEC33zzjTRu3FhOnTolI0eOlKefftqhElQbAQQQQACByBcgQIr8NqQG\nCCAQRoF169bJc889J2fPnpUxY8ZIgwYNwlgaskYAAQQQQAABfwUIkPwVZH8EEHCswJdffmnu\nMzp//ry8+eab8vjjjzvWgoojgAACCCBgFwECJLu0JPVAAIGQCnz++efy4osvigZH48ePl3r1\n6oU0fzJDAAEEEEAAgeAIECAFx5VUEUDAxgJr1qwxw3dfunRJJk6cKHXr1rVxbakaAggggAAC\nzhIgQHJWe1NbBBDwU+CTTz6R5s2bS2JiokyZMkVq1qzpZ4rsjgACCCCAAAJWEshgpcJQFgQQ\nQMDKAitWrJBmzZqZIk6bNo3gyMqNRdkQQAABBBBIpwABUjrh2A0BBJwlsHz5cmnRooVkyJBB\npk+fLg899JCzAKgtAggggAACDhEgQHJIQ1NNBBBIv8CHH34orVq1kujoaJk5c6Y8+OCD6U+M\nPRFAAAEEEEDA0gIESJZuHgqHAALhFvj3v/8tbdu2lcyZM8usWbPkH//4R7iLRP4IIIAAAggg\nEEQBAqQg4pI0AghEtsCCBQukQ4cOEhMTI3PmzJF77703sitE6RFAAAEEEEDAqwABklciNkAA\nAScKzJ49W9q1ayexsbEyd+5cqVq1qhMZqDMCCCCAAAKOEyBAclyTU2EEEPAm8M4770ibNm0k\ne/bsMm/ePLnrrru87cJ6BBBAAAEEELCJAAGSTRqSaiCAQGAE9D6jrl27Ss6cOWXx4sVSuXLl\nwCRMKggggAACCCAQEQIESBHRTBQSAQRCIaDDd/fo0UNy5colOnJdpUqVQpEteSCAAAIIIICA\nhQQIkCzUGBQFAQTCJzB58mTp3bu35MmTR3RwBoKj8LUFOSOAAAIIIBBOgUzhzJy8EUAAASsI\nTJgwQfr37y958+Y1wVH58uWtUCzKgAACCCCAAAJhECBACgM6WSKAgHUE3nzzTRk0aJDkz5/f\nBEc33nijdQpHSRBAAAEEEEAg5AIESCEnJ0MEELCKwOjRoyUhIUEKFixogqMyZcpYpWiUAwEE\nEEAAAQTCJECAFCZ4skUAgfAKjBgxQvRf4cKFTXBUunTp8BaI3BFAAAEEEEDAEgIESJZoBgqB\nAAKhFBgyZIiMGTNGihYtaoKjkiVLhjJ78kIAAQQQQAABCwsQIFm4cSgaAggEXmDgwIHy1ltv\nSbFixWTRokVSvHjxwGdCiggggAACCCAQsQIESBHbdBQcAQTSKtCvXz+ZOHGilChRQhYuXGiC\npLSmwfYIIIAAAgggYG8BAiR7ty+1QwCB/wnEx8fLlClTRC+n0+CoSJEi2CCAAAIIIIAAAlcI\nECBdQcILCCBgJ4HExETp1auXzJgxQ2644QZzz1GhQoXsVEXqggACCCCAAAIBFCBA8sDMlCmT\nZMmSxeNVnvojEBUVJfoPV38UU99XXXXBNnUfDY5eeeUVExzp/EbvvfeeGdI79a1TvpoxY0bJ\nnDmzZMiQIeUKnvklEB0dbfbXvxy3flFesbMeq/oP1yto/H6BzzG/Ca+agB6zMTExot+/WAIn\n4PLUc61+FrKkTYCj0cPL9aXI42We+imgHy76ZZMlsAKuAAnbK10vX74sHTp0kJkzZ8pNN90k\nH374oRQoUODKDa/yin5o6weM/mUJnICeY3XhXBs4U1dKej7Q45XzgUskcH851wbO0jMlPWb1\nS7zr3OC5nufpE3AFSK6/6UvFfnvpdwNfFgIkD6Vz587JyZMnPV7lqT8Crg/s48eP+5MM+6Yi\n4OrhwDYljp4Au3TpYi6nq1Chgrz77rvmV/W0OOXMmVPOnDkj58+fT5k4z/wS0N4N/Xf27Fk5\nffq0X2mxc0oB/SKkXzLTcpynTIFnVxPQHg4NkrC9mlD6X8+dO7f53nXx4sX0J8KeVwjExsaa\nnjn9HNN/LP8V0HNkjhw5vHLw06hXIjZAAIFIEtAP2U6dOpng6OabbzZ/8+bNG0lVoKwIIIAA\nAgggEEYBAqQw4pM1AggEVuD777+XOnXqyOLFi+XWW2+V+fPnS548eQKbCakhgAACCCCAgK0F\nCJBs3bxUDgFnCBw9elS6d+8u9erVk40bN8oTTzxhgqNcuXI5A4BaIoAAAggggEDABLgHKWCU\nJIQAAuEQWLRokbz22mty6NAhKV26tAwePFj+8Y9/hKMo5IkAAggggAACNhAgQLJBI1IFBJwo\nsGXLFomLi5OvvvrK3Iiqw3nrqHV6MzULAggggAACCCCQXgECpPTKsR8CCIRFQEfjGT16tIwf\nP14uXLgg1apVk0GDBknJkiXDUh4yRQABBBBAAAF7CRAg2as9qQ0CthZYuXKl9O7dW3bu3Gkm\nfO3Xr5889thjtq4zlUMAAQQQQACB0AoQIIXWm9wQQCAdAnv27JH4+HhZtmyZmQizefPm0qNH\nD8mePXs6UmMXBBBAAAEEEEDg6gIESFe3YQ0CCIRZQOc0mjZtmgwdOtRMKnr77bdLQkKC3HLL\nLWEuGdkjgAACCCCAgF0FCJDs2rLUC4EIF/j2229NL9HmzZvluuuuM6PTNWnSxPQgRXjVKD4C\nCCCAAAIIWFiAAMnCjUPREHCiwJEjR8ygC3PmzDHVr1+/vhnGO1++fE7koM4IIIAAAgggEGIB\nAqQQg5MdAghcXWD+/PnSv39/OXz4sJQpU8b0Gt13331X34E1CCCAAAIIIIBAgAUIkAIMSnII\nIJB2gd9++83MabR+/XrJkiWLdO/eXdq1ayeZM2dOe2LsgQACCCCAAAII+CFAgOQHHrsigIB/\nAqdPn5ZRo0bJhAkTRAdkqF69urm8rkSJEv4lzN4IIIAAAggggEA6BQiQ0gnHbggg4J/AihUr\nzJxGu3fvlsKFC4vOaVSvXj3/EmVvBBBAAAEEEEDATwECJD8B2R0BBNImsGvXLjOn0X/+8x/J\nmDGjtGzZ0lxSly1btrQlxNYIIIAAAggggEAQBAiQgoBKkgggcKWAXkI3efJkGT58uJw5c0bu\nuOMOGTJkiFSsWPHKjXkFAQQQQAABBBAIkwABUpjgyRYBJwno4AtxcXGigzHkypXLXE7XuHFj\niYqKchIDdUUAAQQQQACBCBAgQIqARqKICESqgA7XPXDgQJk7d66pwpNPPimvvvqq5M2bN1Kr\nRLkRQAABBBBAwOYCBEg2b2Cqh0A4BBITE2XevHny+uuvi078WrZsWUlISJCqVauGozjkiQAC\nCCCAAAII+CxAgOQzFRsigIAvAps3bzaX033zzTeSNWtW87ht27YSHR3ty+5sgwACCCCAAAII\nhFWAACms/GSOgH0EdE6jESNGyKRJk+TSpUtSo0YNc3ld8eLF7VNJaoIAAggggAACthcgQLJ9\nE1NBBIIvoEN29+nTR/bs2SNFihSR/v37S926dYOfMTkggAACCCCAAAIBFiBACjAoySHgJIGd\nO3eayV5Xrlxp5jRq06aNdO3aVWJjY53EQF0RQAABBBBAwEYCBEg2akyqgkCoBC5cuCATJ06U\nkSNHmjmN7rrrLjOnUYUKFUJVBPJBAAEEEEAAAQSCIkCAFBRWEkXAvgLr1q2THj16yJYtWyR3\n7twyYMAAadSoEXMa2bfJqRkCCCCAAAKOEiBAclRzU1kE0i9w6NAhEwzNnz/fJPLMM89I3759\nJU+ePOlPlD0RQAABBBBAAAGLCRAgWaxBKA4CVhPQOY3mzJkjgwYNkqNHj0q5cuXM5XRVqlSx\nWlEpDwIIIIAAAggg4LcAAZLfhCSAgH0FNm7caOYx+u6778ycRr1795bWrVtLpkycOuzb6tQM\nAQQQQAABZwvwLcfZ7U/tEUhV4NSpUzJs2DCZOnWqmdOoVq1a5vK6YsWKpbo9LyKAAAIIIIAA\nAnYRIECyS0tSDwQCJLBs2TJzb9HevXulaNGiZrLXmjVrBih1kkEAAQQQQAABBKwtQIBk7fah\ndAiETGDHjh3Sq1cvWbVqlbmErn379tKlSxfmNApZC5ARAggggAACCFhBgADJCq1AGRAIo8D5\n8+dl/PjxMnr0aDl79qzo4AtDhgwxgzGEsVhkjQACCCCAAAIIhEWAACks7GSKgDUE1q5dKz17\n9pStW7ea4boHDx4sOnw3CwIIIIAAAggg4FQBAiSntjz1drTAwYMHpV+/frJo0SLj8Oyzz4qO\nUKcTv7IggAACCCCAAAJOFiBAcnLrU3fHCVy+fFlmz55t5jQ6fvy4VKhQQRISEuTOO+90nAUV\nRgABBBBAAAEEUhMgQEpNhdcQsKHAzz//LD169JAff/zRDLwQHx8vLVq0YE4jG7Y1VUIAAQQQ\nQACB9AsQIKXfjj0RiAiBkydPytChQ2XatGmiPUh16tQxcxoVKVIkIspPIRFAAAEEEEAAgVAK\nECCFUpu8EAixwAcffCDaU7R//34pXry4mdOoRo0aIS4F2SGAAAIIIIAAApEjQIAUOW1FSRHw\nWWD79u1mTqM1a9ZIdHS0dOrUSTp37ixZs2b1OQ02RAABBBBAAAEEnChAgOTEVqfOthU4d+6c\njBs3TsaMGSP6+J577jFzGpUtW9a2daZiCCCAAAIIIIBAIAUIkAKpSVoIhFHg888/N3Mabdu2\nTfLmzSvDhg2TJ598MowlImsEEEAAAQQQQCDyBAiQIq/NKDECKQT27dsn7du3lyVLlpjXn3vu\nOXN5Xa5cuVJsxxMEEEAAAQQQQAAB7wIESN6N2AIBSwokJibKpEmTTDCkcxpVrFjRzGlUuXJl\nS5aXQiGAAAIIIIAAApEgQIAUCa1EGRHwENi1a5e8/PLL8sUXX0j27Nnltddek+bNm0vGjBk9\ntuQpAggggAACCCCAQFoECJDSosW2CFhAYM6cOSYgOnXqlOiQ3VOnTjUj1VmgaBQBAQQQQAAB\nBBCIeIEMEV8DKoCAQwR2794tjRo1km7dupkaJyQkyLJly8z8Rg4hoJoIIIAAAggggEDQBehB\nCjoxGSDgv8C8efPMhK8nT56U+++/X9544w0pVqyY/wmTAgIIIIAAAggggEAKAQKkFBw8QcBa\nAnv37pWuXbvK6tWrJTY2VgYPHizPP/+8REVFWauglAYBBBBAAAEEELCJAAGSTRqSathPYMGC\nBdKnTx85ceKEmfB15MiRUqJECftVlBohgAACCCCAAAIWEiBAslBjUBQEVEDnNdL7jD755BPJ\nmjWrvP7669K0aVN6jTg8EEAAAQQQQACBEAgQIIUAmSwQ8FVg0aJFptfo2LFjUqVKFRk1apRc\nf/31vu7OdggggAACCCCAAAJ+ChAg+QnI7ggEQuDAgQPSvXt3WbFihek16tevn7Ro0YJeo0Dg\nkgYCCCCAAAIIIJAGAQKkNGCxKQLBEFiyZIn07t1bjh49KnfffbfovUalSpUKRlakiQACCCCA\nAAIIIOBFgADJCxCrEQiWwMGDB6VHjx6yfPlyyZIli7z66qvSsmVLyZCB6cmCZU66CCCAAAII\nIICANwECJG9CrEcgCALvv/++9OzZU44cOSJ33HGHudfohhtuCEJOJIkAAggggAACCCCQFgEC\npLRosS0CfgocOnRI4uLiZOnSpRITE2MGZGjTpg29Rn66sjsCCCCAAAIIIBAoAQKkQEmSDgJe\nBD788EMTHB0+fFgqVapkeo3Kli3rZS9WI4AAAggggAACCIRSgAAplNrk5UgB7TXSCV/fe+89\nyZw5s7m0rl27dpIxY0ZHelBpBBBAAAEEEEDAygIESFZuHcoW8QLLli0zAzFokHTrrbfKmDFj\n5MYbb4z4elEBBBBAAAEEEEDArgIESHZtWeoVVgEdfKFv376yePFiiY6ONkFShw4d6DUKa6uQ\nOQIIIIAAAggg4F2AAMm7EVsgkCaBjz76yEz61erHXAAAJoFJREFU+vfff8stt9wio0ePlvLl\ny6cpDTZGAAEEEEAAAQQQCI8AAVJ43MnVhgI60Wt8fLwsXLhQMmXKJF27dpVOnTqZxzasLlVC\nAAEEEEAAAQRsKUCAZMtmpVKhFli5cqV069ZN9u/fLxUrVjS9RjfddFOoi0F+CCCAAAIIIIAA\nAn4KECD5CcjuzhY4fvy46TWaP3++6Sl6+eWXpXPnzua+I2fLUHsEEEAAAQQQQCAyBQiQIrPd\nKLUFBFatWmUuo9u3b59UqFDBzGuk9xyxIIAAAggggAACCESuAAFS5LYdJQ+TwIkTJ+S1116T\nuXPnmlHptMeoS5cuZo6jMBWJbBFAAAEEEEAAAQQCJECAFCBIknGGwJo1a0yv0Z49e6RcuXLm\nXiOd34gFAQQQQAABBBBAwB4CBEj2aEdqEWSBkydPSv/+/WX27NmSIUMG6dixo7zyyiv0GgXZ\nneQRQAABBBBAAIFQCxAghVqc/CJO4PPPPxcdfGH37t1StmxZ02t0++23R1w9KDACCCCAAAII\nIICAdwECJO9GbOFQgVOnTsmAAQNk5syZpteoXbt2ZijvmJgYh4pQbQQQQAABBBBAwP4CBEj2\nb2NqmA6BtWvXmoEXdu3aJWXKlDEj1FWuXDkdKbELAggggAACCCCAQCQJECBFUmtR1qALnD59\nWgYOHCjTp0+XqKgoad26tfTo0UOyZMkS9LzJAAEEEEAAAQQQQCD8AgRI4W8DSmARgXXr1slL\nL70kO3bskNKlS8vIkSPlrrvuskjpKAYCCCCAAAIIIIBAKAQIkEKhTB6WFtBeoyFDhsiUKVNM\nr1HLli0lLi5OsmbNaulyUzgEEEAAAQQQQACBwAsQIAXelBQjSGD9+vXmXqPt27dLyZIlTa9R\nlSpVIqgGFBUBBBBAAAEEEEAgkAIESIHUJK2IEThz5owkJCTI5MmTJTExUZo1aya9evWS2NjY\niKkDBUUAAQQQQAABBBAIvAABUuBNSdHiAt9++62512jbtm1SokQJ02t0zz33WLzUFA8BBBBA\nAAEEEEAgFAIESKFQJg9LCJw9e1aGDRsmEyZMML1GL7zwgvTt25deI0u0DoVAAAEEEEAAAQSs\nIUCAZI12oBRBFvj+++9Nr9HWrVulWLFiptfovvvuC3KuJI8AAggggAACCCAQaQIESJHWYpQ3\nTQLnzp2T4cOHy/jx4+Xy5cvSpEkTiY+Pl2zZsqUpHTZGAAEEEEAAAQQQcIYAAZIz2tmRtfzp\np5+kU6dOsmXLFilatKiMGDFC/vnPfzrSgkojgAACCCCAAAII+CaQwbfN2AqByBE4f/68mdfo\nkUceMcFR48aNZfXq1QRHkdOElBQBBBBAAAEEEAibAD1IYaMn42AIbNiwQTp37iy//fabFClS\nxFxeV61atWBkRZoIIIAAAggggAACNhSgB8mGjerEKl24cEGGDh0q2mukwVHDhg1NrxHBkROP\nBuqMAAIIIIAAAgikX4AepPTbsadFBH755RfTa7R582YpVKiQ6TWqXr26RUpHMRBAAAEEEEAA\nAQQiSYAepEhqLcqaQkB7jXTghbp164oGR0899ZTpNSI4SsHEEwQQQAABBBBAAIE0CNCDlAYs\nNrWOwKZNm8y8Rtp7VKBAATMB7MMPP2ydAlISBBBAAAEEEEAAgYgUoAcpIpvNuYW+ePGijBo1\nSurUqSMaHNWvX1/WrFkjBEfOPSaoOQIIIIAAAgggEEgBepACqUlaQRX49ddfTa+RjlSXP39+\nSUhIkNq1awc1TxJHAAEEEEAAAQQQcJYAAZKz2jsia3vw4EEZPXq0zJw5U/S+o8cff1wGDhwo\nuXPnjsj6UGgEEEAAAQQQQAAB6woQIFm3bRxfspMnT8r48eNl4sSJcvr0aSlatKj069fPDMrg\neBwAEEAAAQQQQAABBIIiQIAUFFYS9Ufg3LlzprdIe40OHz4sefLkkW7dusmLL74oMTEx/iTN\nvggggAACCCCAAAIIXFOAAOmaPKwMpcDly5dl4cKFZkS63bt3S2xsrJnfqH379pI9e/ZQFoW8\nEEAAAQQQQAABBBwqQIDk0Ia3WrU/+ugjGTx4sPz+++8SHR0tTZs2lS5duki+fPmsVlTKgwAC\nCCCAAAIIIGBjAQIkGzduJFRt3bp1ZsCF7777TqKiosyw3d27d5cSJUpEQvEpIwIIIIAAAggg\ngIDNBAiQbNagkVKdjRs3mh6jVatWmSJXr15devXqJTfddFOkVIFyIoAAAggggAACCNhQgADJ\nho1q5Sr99ddf5h6jxYsXm2LeddddJjCqUqWKlYtN2RBAAAEEEEAAAQQcIkCA5JCGDnc19+/f\nL/Hx8TJr1iy5ePGilCtXTuLi4qRWrVrhLhr5I4AAAggggAACCCCQLECAlEzBg2AInDhxwsxl\nNGnSJDOXUbFixaRr167y5JNPSoYMGYKRJWkigAACCCCAAAIIIJBuAQKkdNOx47UEdC6jt99+\nW8aMGSNHjhwxo9Hp4As6l1HmzJmvtSvrEEAAAQQQQAABBBAImwABUtjo7ZnxpUuXZMGCBTJ8\n+HDZs2ePZMuWTV555RVzn5EGTSwIIIAAAggggAACCFhZgADJyq0TYWVbvny5GZlu69atZi6j\n5s2by0svvST58+eXHDlyCAFShDUoxUUAAQQQQAABBBwoQIDkwEYPdJW//PJLM5fRDz/8YOYy\natCggfTo0UP0fiMWBBBAAAEEEEAAAQQiSYAAKZJay2Jl/fnnn02P0Zo1a0zJatSoYS6lK1++\nvMVKSnEQQAABBBBAAAEEEPBNgADJNye2chPYvn27DB06VP7973+bV3UOI53kVec0YkEAAQQQ\nQAABBBBAIJIFCJAiufVCXPYDBw7IG2+8Ie+8846Zy6hChQpmLqOHH344xCUhOwQQQAABBBBA\nAAEEgiNAgBQcV1ulevz4cRk3bpxMnjxZzpw5I8WLFxcdsvuJJ55gLiNbtTSVQQABBBBAAAEE\nECBA4hi4qsDZs2dl+vTpMnbsWDl69KjkzZvXXErXpEkT5jK6qhorEEAAAQQQQAABBCJZgAAp\nklsvSGXXuYzeffddGTFihOzdu1eyZ88uXbt2ldatW5t5jYKULckigAACCCCAAAIIIBB2AQKk\nsDeBtQqwdOlSGTJkiPzxxx+ml6hly5bSqVMn03tkrZJSGgQQQAABBBBAAAEEAi9AgBR404hM\n8YsvvjBzGf30009mLqOnn37a9Boxl1FENieFRgABBBBAAAEEEEinAAFSOuHsstuGDRtk0KBB\n8tlnn5kq1apVS3r27Ck33nijXapIPRBAAAEEEEAAAQQQ8FmAAMlnKnttuG3bNklISJAPPvjA\nVKxq1arSu3dvueOOO+xVUWqDAAIIIIAAAggggEAaBAiQ0oBlh0337dtn5jKaO3eu6GAMFStW\nND1G1atXt0P1qAMCCCCAAAIIIIAAAn4JECD5xRc5Ox87dkzeeustmTJliujw3ddff71069bN\nzGUUFRUVORWhpAgggAACCCCAAAIIBFGAACmIuFZIWid2nTp1qgmONEjKnz+/9O3bV5577jmJ\njo62QhEpAwIIIIAAAggggAAClhEgQLJMUwS2IBcvXpR58+aZuYz2798vOXLkkO7du0urVq0k\nNjY2sJmRGgIIIIAAAggggAACNhEgQLJJQ7qqkZiYKB9++KEZgEEHYoiJiTETvHbs2FHy5Mnj\n2oy/CCCAAAIIIIAAAgggkIoAAVIqKJH6kg7VrUN269DdGTJkkIYNG8orr7wiRYsWjdQqUW4E\nEEAAAQQQQAABBEIqQIAUUu7gZPbjjz+awEgne9WlTp06EhcXJ2XLlg1OhqSKAAIIIIAAAggg\ngIBNBQiQIrhht27dai6lW7p0qanFvffeK7169ZLKlStHcK0oOgIIIIAAAggggAAC4RMgQAqf\nfbpz3rt3b/JcRpcvX5abb77ZzGX04IMPpjtNdkQAAQQQQAABBBBAAAERAqQIOgqOHj0qY8eO\nlenTp5u5jEqWLGlGpvvXv/4lzGUUQQ1JURFAAAEEEEAAAQQsK0CAZNmm+f+CnT592kzwOm7c\nODl+/LgUKFBAXnvtNXn22WclUyaa8P+leIQAAggggAACCCCAgH8CfLv2zy+oe+tcRu+88465\nnO7AgQNy3XXXmcEXWrRowVxGQZUncQQQQAABBBBAAAGnClgiQNqxY4d8+eWXZp4eHWgge/bs\n12yPEydOyNq1a0X/VqlSRUqUKJFie2/rU2xswSc6l9H7779vBmDYvn27mcuobdu20qFDB8md\nO7cFS0yREEAAAQQQQAABBBCwh0CGcFdj1qxZ0qRJE9m0aZPMnz9fNBA4cuTIVYv1559/it5z\ns3DhQvnll1+kWbNmsm7duuTtva1P3tDCDzRAGjNmjGjgqJfRafDYt29fgiMLtxlFQwABBBBA\nAAEEELCHQFh7kDQA0AEHRo8eLbfffrvoJWVt2rSRd9991/xNjXjw4MHy2GOPSefOnc3ABDNm\nzJCRI0fKvHnzzHNv61NL02qv6SSvI0aMMD1pZcqUsVrxKA8CCCCAAAIIIIAAArYVCGsP0tdf\nfy1FihQxwZEK64ADtWvXlo8//jhV8EOHDsnmzZtND5Jr1LZ69erJnj17TA+Ut/WpJmrRFzVg\nJDiyaONQLAQQQAABBBBAAAHbCoS1B0nn8ylatGgKXA2YDh48KDq/j/akuC/79u0zT3Ub15I3\nb17JnDmz6CAGruVq6ytWrOjaxPydNm2aXLhwIfm18uXLS9WqVSVbtmzJr/HAfwENZrUtcfXf\n0jMF13sEW08Z/5/rDzZZs2aV6Oho/xMjhWQB18ibMTExTE+QrBKYB3o+yJgxI+fawHCmSIVz\nbQqOgD7RY1bPtfq9jyVwAq7PLj3Xuo7fwKUeuSnpbSy+LGENkDTg0ZHZ3JccOXKYN8mxY8eu\nuOdGAyptaP3nvug+et/SpUuXrrnefR99/Oabb8qpU6eSX65fv7488MADV6SfvAEP/BLwbGu/\nEmPnFALYpuAI2BP98YUlOAJZsmQR/ccSeAHOB4E3daWIrUsisH9dX+YDmyqpqYAGn/qP5b8C\n58+f94kirAGSviH0viP3xfU8NjbW/WXzOLXtdYUGRrq9t/WeCeq9S678dJ32PJ05c8b889yW\n5+kX0F8udGRCncOJJbAC+mGtv75da2CTwObonNS0V+7cuXMpzhHOqX3waqpBp54P9Mcp9WUJ\nnICeC/SzUEdyZQmsQM6cOU2Pp07YzhJYAT0f6Hcv/S7HEjgB7UzQz7GTJ0+Kr0FB4HK3bkp6\nVZMvP36GNUDKly+fbE8axtp90S/ROpS1Zy+RbqPb6xtIJ051D6B0n8KFC5t7mK613j0ffay9\nRZ6LfrDwoe2p4t9zDZBcXzb9S4m9PQVcXcUcs54y/j/X3g29BJcPFv8t3VNw3T+qP05x3LrL\n+P9YL1/U4xZX/y09U+Bc6ykSuOf6fU7Ps+4/WAcudeempD+Y6MK5NuUx4HJJ+eqVz1Le5HPl\n+qC+UqpUKfn1119TvCk2btx4xX1JrkIUK1bMBEG6jWvRQRv0ulXt/fG23rUPfxFAAAEEEEAA\nAQQQQACB1ATCGiDVqFHDlGnOnDkmyNm2bZssW7bMzIvkKuxnn30my5cvN0+1i7tmzZpmaHDt\nMjx79qxMmTLFjHyXP39+8bbelSZ/EUAAAQQQQAABBBBAAIHUBMIaIOlldAMGDJAlS5aYIKdL\nly6iAyXce++9yWVduXKlLFq0KPm5zpOk1w4++uij8vjjj5sepY4dO/q8PnlDHiCAAAIIIIAA\nAggggAACHgJRSdfV+jbenceOgX66f/9+0V4gX4ci1PuO9DrCqw1v7G391cqv9yBp7xRL4AS0\nTfPkyWOGbw9cqqSkAnpfnt534BoCH5XACWiPtN44zD1IgTPVlPQeGb3PVEcq1ftJWQInoOcC\nHbjl8OHDgUuUlIyAfj/R++fcpxSBJjACej7Q717cgxQYT1cqem+Xfo7pwCL6WcbyXwGNHQoU\nKOCVI6yDNLiXrmDBgu5PvT72NtSmt/VeM2ADBBBAAAEEEEAAAQQQcJxAWC+xc5w2FUYAAQQQ\nQAABBBBAAAFLCxAgWbp5KBwCCCCAAAIIIIAAAgiEUoAAKZTa5IUAAggggAACCCCAAAKWFiBA\nsnTzUDgEEEAAAQQQQAABBBAIpQABUii1yQsBBBBAAAEEEEAAAQQsLUCAZOnmoXAIIIAAAggg\ngAACCCAQSgECpFBqkxcCCCCAAAIIIIAAAghYWoAAydLNQ+EQQAABBBBAAAEEEEAglAIESKHU\nJi8EEEAAAQQQQAABBBCwtAABkqWbh8IhgAACCCCAAAIIIIBAKAUIkEKpTV4IIIAAAggggAAC\nCCBgaQECJEs3D4VDAAEEEEAAAQQQQACBUAoQIIVSm7wQQAABBBBAAAEEEEDA0gIESJZuHgqH\nAAIIIIAAAggggAACoRQgQAqlNnkhgAACCCCAAAIIIICApQUIkCzdPBQOAQQQQAABBBBAAAEE\nQilAgBRKbfJCAAEEEEAAAQQQQAABSwsQIFm6eSgcAggggAACCCCAAAIIhFKAACmU2uSFAAII\nIIAAAggggAAClhYgQLJ081A4BBBAAAEEEEAAAQQQCKUAAVIotckLAQQQQAABBBBAAAEELC1A\ngGTp5qFwCCCAAAIIIIAAAgggEEoBAqRQapMXAggggAACCCCAAAIIWFqAAMnSzUPhEEAAAQQQ\nQAABBBBAIJQCUYlJSygztGpe3333nXTr1k2aNGkiTZs2tWoxKRcCKQRat24t27dvl48++ijF\n6zxBwKoCa9askf79+0v79u2lQYMGVi0m5UIghcCzzz4r58+fl4ULF6Z4nScIWFXggw8+kJEj\nR0pcXJzUrFnTqsW0bLkyWbZkIS7YuXPnZPfu3XL8+PEQ50x2CKRf4MCBA+a4TX8K7IlAaAVO\nnz5tjtkTJ06ENmNyQ8APgX379ol+T2BBIFIETp48ac61es5lSbsAl9il3Yw9EEAAAQQQQAAB\nBBBAwKYCBEg2bViqhQACCCCAAAIIIIAAAmkX4BK7/5nlyZNHqlevLqVLl067InsgECaBu+++\nW4oVKxam3MkWgbQLFCxY0JxrS5Qokfad2QOBMAnce++9cuHChTDlTrYIpF2gaNGi5lxbqFCh\ntO/MHsIgDRwECCCAAAIIIIAAAggggMD/BLjEjkMBAQQQQAABBBBAAAEEEPifAAEShwICCCCA\nAAIIIIAAAggg8D+BiL4HSYcu/PLLL2XPnj1y8803S+XKlVM07KVLl+THH3+UTZs2Sfny5eWu\nu+7yef3HH38sly9fTrG9PsmePbvcd999V7yuL2zdulW2bduWYp3e23TnnXemeI0nzhXQY+rn\nn382x6Xei/Hggw9KTExMCpAdO3aY41qPHb3uXY85z0WP7dmzZ8sTTzwh1113XYrVOnzy2rVr\nRf9WqVJFvN3r4e19kiJxnjhSwNu51tdjTqdS0HP2U089lcLRl/eF+w6ca901eJyagC/HlD/n\nWj3mv/rqqyuy1nN6dHT0Fa/rC76+T1LdmRcdIRDMcy3fa9N2CEXsPUj/+c9/ZNiwYXLLLbdI\nbGys+dCtV6+edO3a1Qjol742bdrI3r175f777zdfGPXE9fLLL/u03jUpnDvnwYMHpVy5cjJx\n4kT3l5MfDxgwQL744gvJkSNH8mtavldffTX5OQ+cK6DHT4sWLUxAdNttt5kPVw1+9HhyBTmz\nZs2SKVOmyAMPPGACf513Y8yYMZI7d+4UcGPHjpX58+fLu+++K0WKFEle9+eff0rz5s3NYCN6\ng6YGSq+//rpUrVo1eRv3B97eJ+7b8tiZAt7Otb4eczonR9u2bc3xr8e4a/HlfeHa1vWXc61L\ngr+pCfhyTPl7rtXP+j59+ki+fPlSFGH69OkpvgO4Vvr6PnFtz1/nCQT7XMv32jQeU4kRuCR9\nqUts2LBhYtIXxOTSf/rpp4lJgVDili1bzGvvvPOO2SbpQ9k83759e+I//vGPxF9//dWn9ckJ\n/+/Bd999l5j0pTXxp59+8lyV/Py5555LXLBgQfJzHiDgLjB+/PjEpC+IyS8l/VKUWLt27cRJ\nkyaZ1/7666/EpCA+8YcffjDPk0ZMSkwKdhJ1P9eSNFlhYtKPAIlJIy6a4z3pF3nXKvO3ZcuW\niUkzZycm/Xpqnr/99tuJTz/9dPLzFBsnPfH2PvHcnufOEvDlXOvLMbdu3brE+vXrm+NWj2n3\nxdv7wn1b12POtS4J/qYm4O2YCsS5dtq0aYnt2rVLLftUX/PlfZLqjrzoCIFQnGs9Ifle6ymS\n8nlE3oN0+PBhc7ncww8/nBwOVqpUyTzWy+100V93dH22bNnM8+uvv95chqddjL6sNxv97z/t\n8hw8eLBo9H3rrbe6r0p+rL/0a3e99jCxIJCagPZ0Pv/888mrsmbNai79dB2zX3/9tekNuv32\n2802mTJlkqQASlzHrL44ZMgQSXoLS0JCQnI6rgeHDh2SzZs3y7/+9S+JiooyL2uvqqavl5mm\ntnh7n6S2D685R8DbudaXY04vK+rVq5fUqVNHGjVqdAWet/eF5w6caz1FeO4p4O2Y8vdcq/kl\n/Rjr8+e9L+8Tzzrw3FkCoTjXuovyvdZdI/XHEXkPknZpuy6Vc1Xrk08+kYwZMyafsPTSOvdL\nj3Q7fX7gwAGzi7f1rnT174QJE8xlIc2aNXN/OcVj7T7Xa56TfimVUaNGiV5Oopf0NW3a9Ip7\nTFLsyBPHCLgHR1ppPSEm9RZJ+/btjYEek3pZnPuix6xeLqLHVoYMGSQuLk703qWkX0DdNzOP\nk3qXzF/34z5v3rySOXNmc9xXrFjxin3S8j64YmdesL2At3OtL8ec/hCgl4PqsZjUo3mFmbf3\nhecOnGs9RXjuKeDtmPL3XKv5aYCk94/qOTnpyhSpUKGCdOjQ4YpzuG7ry/tEt2NxrkAozrXu\nunyvdddI/XFE9iB5VuWPP/4w93E0btzYfHm8ePGi+VLpuq/Dtb0+1y+l3ta7tte/+uvn0qVL\n5cknnxT9Rf9qi54sddFfN/UL70MPPSTvvfeejBgx4mq78LqDBc6fPy+vvfaaaM/m448/biT0\nQ9TzmNX72TQ4OnbsmNlGg6OrLfqhrx/YnoM+aBpHjhy5Yre0vA+u2JkXHCngea715ZjT86YG\nR74sqb0vPPfjXOspwvNrCaR2TPl7rtXvBZqG/nj12GOPmXtL9b2gn/3646jn4sv7xHMfnjtb\nIJjnWr7X+nZsXf0bv2/7h32rDRs2mF9wku7JMDena4G0J0l/bdcvgO6LPtdL7rytd99nxYoV\nJjCqWbOm+8tXPNb1Olpd4cKFzTodUU/z0V9M9Vclzy++VyTAC44ROH78uPTs2VP0b9L9Qskj\nHunIR6kdswqjl4x4W1LbX/fRgRhS2z8t7wNvebPe/gKpnWvTesxdS+lq7wvPfTjXeorw/GoC\nVzumUjtuXefe1M6Vnunr4DpJ9xuLjjSqPfS63HTTTfLCCy+IXs2ilzm7L6nlp+uvdm5235fH\nzhMI9rmW77W+HVMR3YOk90906dLFnIy6detmgiKttt5/oScujZLdFz1ZFipUyOt6930++OAD\nc+28t5Om/mrvCo5c+7tGDnN1r7te569zBfQXx6Qbe00g9Oabb6YYAUm72FM7ZnUEO89eodQE\ndX/9wNVri90XPe49j01d7+194p4Gj50tcLVzbVqPuaspXut94bkP51pPEZ6nJnCtY8rfc62e\nO/W7hCs40vxLly4t+fPnNyPnepYnUO8Tz3R5bj+BYJ9rVYzvtb4dNxEbIK1evVri4+OlU6dO\n0rp16ytqqyerjRs3pnhdb1R33ePhbb3uqDdWajenDrnsbVm4cKH06NEjxWZJI96ZL6GpfTlN\nsSFPHCGwf/9+ExwVL17cDN2dM2fOFPUuVaqUuZbd9UumrtRj2HXMptg4lSfFihUzvZ3ux70O\n2qCX6Lnfl+S+qy/vA/fteew8gWuda9NzzHkKentfeG7PudZThOeeAt6OKX/PtUmj4preop07\ndyZnrZfR/f3336merwPxPknOiAe2FQj2uVbh+F7r++ETkQGSNrCO5lWtWjUpWbKkaCDi+qf3\nGOmi9wytXLnSjN6lo34tWrRI9FrkunXr+rReN9KToC56Mk1tmTNnTnIQphN6rl+/3tx3pF9w\nk4ZPNI91FDL3eZFSS4fXnCGg96NpD49Okqk39bqOWb3pXJcaNWqYv3pcaVCjkw4vW7ZMmjRp\nYl739p8GXHr5kc7DodfBnz171syppMeg/rKpy2effSbLly9PTsrb+yR5Qx44UsDbudaXY84b\nnLf3he7PudabIuvdBbwdU/6ea/V7R5YsWcwATnp/pwZH48aNM/PV6f3HurifawPxPnGvH4/t\nJxCKc62q8b3W92MnIieKnT179lUna9URZR555BEjkDRPgehkcHr9r/4KrzdQ6n1CrsXbeg2q\nZsyYIe+//75rlxR/k+ZVMpPR6uAQuug1yUlz2pgvt/pFuFatWma0PV8uj0qRME9sJ6BDbT/z\nzDOp1qtKlSoyfPhws05HtevXr5+5TE5H/9Jr2VMbPVFHsUuaC+aKiWL1w1r31+BLjzudkLZ3\n797J98Bpr6uWxX2iTm/vg1QLzYuOEPDlXOvtmHOH0nsy9RIS1/Hn6/uCc627Io+vJeDrMeXv\nuVZ/5Orfv785n2p5tDdeB94pUaKEKZ7nuTYt75Nr1Y919hQI9rnWpcb3WpeE978RGSB5r9b/\nb6G9RnoPhl4DnNribX1q+1zrNe090qHENT/365OvtQ/rEPAU0EtEtNdHBxtJz6LHvA7C4JoH\nzFsagX4feMuP9fYTSOsx568A51p/BdlfBfw91+q9TvojrOcl01fTDfX75Grl4PXIFQj1MeTU\nc63tA6TIfQtQcgQQQAABBBBAAAEEEAi1QPp+ng51KckPAQQQQAABBBBAAAEEEAiBAAFSCJDJ\nAgEEEEAAAQQQQAABBCJDgAApMtqJUiKAAAIIIIAAAggggEAIBAiQQoBMFggggAACCCCAAAII\nIBAZAgRIkdFOlBIBBBBAAAEEEEAAAQRCIECAFAJkskAAAQQQQAABBBBAAIHIECBAiox2opQI\nIIAAAggggAACCCAQAgECpBAgkwUCCCCAAAIIIIAAAghEhgABUmS0E6VEAAEEEEAAAQQQQACB\nEAhkCkEeZIEAAggggEBABd5//3357rvv5OWXX5acOXOmSPudd96RXbt2Sffu3ZNf//nnn2X+\n/PmyefNmKVGihNSrV0+qV6+evN71YNmyZfL555/Lli1bJFeuXFKxYkVp2bKlZM+e3Wzy66+/\nyty5c6VDhw4yYcIE2b59uzz99NNSq1YtVxL8RQABBBCIcAF6kCK8ASk+Aggg4ESBixcvSv/+\n/WXBggUpqn/27Flp166dbNq0Kfn1iRMnyp133ilDhw6V8+fPy6effioPPfSQdOvWLXkbfdC4\ncWN55JFHZPHixZKYmChLly41AVjlypXNfrrNb7/9ZvJt3769xMfHy9tvvy1LlizRVSwIIIAA\nAjYRIECySUNSDQQQQMBJAtoDlC9fPpk9e3aKar/33nty7NgxeeGFF8zrW7dulU6dOsl9990n\nu3fvFlfPU+/evWX48OHyySefmO1Wr14t2vOkvU4aBC1atEj27Nkjbdu2Nb1JH330UYp8dPuN\nGzfKwYMHpV+/finW8QQBBBBAILIFCJAiu/0oPQIIIOBIgcyZM5sen88++0x27NiRbDBz5kwp\nWbKkVKtWzbw2btw40/sTFxdnAirXhq+88opER0fLW2+9ZV4qVaqUCZA0cHItUVFRUr9+ffP0\n77//dr1s/upldzfddJPkzp1bChYsmGIdTxBAAAEEIluAe5Aiu/0oPQIIIOBYgaZNm8ro0aNN\nYKMB0P79+2XFihXSq1cv0eBGF+0N0seTJk2SKVOmpLCKjY2V33//3bymQZX+++abb8y9TXqv\nkv5bt26dWa+X5rkvN954o/tTHiOAAAII2EiAHiQbNSZVQQABBJwkcNttt0mlSpWSL7PTS+Qu\nXbqUfHmdWuglcDExMZIpUybJkCFDin+1a9eWqlWrGrLjx4/LP//5T7n77rvNfUcaKJUpU0a6\ndu2aKmnevHlTfZ0XEUAAAQQiX4AepMhvQ2qAAAIIOFZAe5H0HiMdlEFHqbv//vuldOnSyR76\n+OuvvzYDK3j2+uhADxo46aKX1unodZMnTzYBll5+p8vChQvNXx20gQUBBBBAwBkC9CA5o52p\nJQIIIGBLgWeffVb0fiQdcnv9+vXy4osvpqinDs6gi96b5L5s2LDBDN3duXNn87L2GOkldzq4\ngys40hU6kp0uGkyxIIAAAgg4Q4AAyRntTC0RQAABWwropW6PPvqo6GAMWbNmlaeeeipFPVu3\nbi0VKlSQUaNGmfuVdOQ5vRSvYcOGJkDq06eP2f7222+X06dPS8+ePc2odXrvkQ7lrXMe6aIj\n47EggAACCDhDgADJGe1MLRFAAAHbCuhldnrvUYMGDSRHjhwp6qm9QTrvUd26dc39RDfffLMZ\n/U57hDT4yZ8/v9l+0KBB0qJFC5k1a5bopXh6qZ6OjqcTwxYuXFh0WG8WBBBAAAFnCEQlXVfN\nhdXOaGtqiQACCNhSQOco0gEXVq1aJQ8++OBV66gj0em8SDlz5pQiRYokj3TnvsPly5fNyHbX\nX3+96ZFyX8djBBBAAAFnCBAgOaOdqSUCCCBgSwENaOrUqSPbt283vT2u4b1tWVkqhQACCCAQ\nEgFGsQsJM5kggAACCARSQC9+0Mlg9+7da3qFFi1alGqPUCDzJC0EEEAAAWcIcA+SM9qZWiKA\nAAK2EtCeooIFC0qhQoVk2rRp8sQTT9iqflQGAQQQQCB8AlxiFz57ckYAAQQQQAABBBBAAAGL\nCdCDZLEGoTgIIIAAAggggAACCCAQPgECpPDZkzMCCCCAAAIIIIAAAghYTIAAyWINQnEQQAAB\nBBBAAAEEEEAgfAIESOGzJ2cEEEAAAQQQQAABBBCwmAABksUahOIggAACCCCAAAIIIIBA+AQI\nkMJnT84IIIAAAggggAACCCBgMQECJIs1CMVBAAEEEEAAAQQQQACB8AkQIIXPnpwRQAABBBBA\nAAEEEEDAYgL/B9L6GevMS3WGAAAAAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Load ggplot2\n",
    "library(ggplot2)\n",
    "# Create a line plot of fraction over time\n",
    "ggplot(r_over_time, aes(x = year, y = fraction)) + \n",
    "  geom_line()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "dc": {
     "key": "32"
    },
    "deletable": false,
    "editable": false,
    "run_control": {
     "frozen": true
    },
    "tags": [
     "context"
    ]
   },
   "source": [
    "## 5. How about dplyr and ggplot2?\n",
    "<p>Based on that graph, it looks like R has been growing pretty fast in the last decade. Good thing we're practicing it now!</p>\n",
    "<p>Besides R, two other interesting tags are dplyr and ggplot2, which we've already used in this analysis. They both also have Stack Overflow tags!</p>\n",
    "<p>Instead of just looking at R, let's look at all three tags and their change over time. Are each of those tags increasing as a fraction of overall questions? Are any of them decreasing?</p>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "dc": {
     "key": "32"
    },
    "tags": [
     "sample_code"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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HCYwMOLC1TX4Nfnp5YpL8uaa8eGAAKOFSBAcuzQ0XAEEEAAAQQQSAeBVVsztfrj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\nYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# A vector of selected tags\n",
    "selected_tags <- c(\"r\", \"dplyr\", \"ggplot2\")\n",
    "\n",
    "# Filter for those tags\n",
    "selected_tags_over_time <- by_tag_year_fraction %>% filter(tag %in% selected_tags)\n",
    "\n",
    "# Plot tags over time on a line plot using color to represent tag\n",
    "ggplot(selected_tags_over_time, aes(x = year, y = fraction, color = tag)) + \n",
    "  geom_line()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "dc": {
     "key": "39"
    },
    "deletable": false,
    "editable": false,
    "run_control": {
     "frozen": true
    },
    "tags": [
     "context"
    ]
   },
   "source": [
    "## 6. What are the most asked-about tags?\n",
    "<p>It's sure been fun to visualize and compare tags over time. The dplyr and ggplot2 tags may not have as many questions as R, but we can tell they're both growing quickly as well.</p>\n",
    "<p>We might like to know which tags have the most questions <em>overall</em>, not just within a particular year. Right now, we have several rows for every tag, but we'll be combining them into one. That means we want <code>group_by()</code> and <code>summarize()</code>.</p>\n",
    "<p>Let's look at tags that have the most questions in history.</p>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "dc": {
     "key": "39"
    },
    "tags": [
     "sample_code"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A tibble: 4080 × 2</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>tag</th><th scope=col>tag_total</th></tr>\n",
       "\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>javascript   </td><td>1632049</td></tr>\n",
       "\t<tr><td>java         </td><td>1425961</td></tr>\n",
       "\t<tr><td>c#           </td><td>1217450</td></tr>\n",
       "\t<tr><td>php          </td><td>1204291</td></tr>\n",
       "\t<tr><td>android      </td><td>1110261</td></tr>\n",
       "\t<tr><td>python       </td><td> 970768</td></tr>\n",
       "\t<tr><td>jquery       </td><td> 915159</td></tr>\n",
       "\t<tr><td>html         </td><td> 755341</td></tr>\n",
       "\t<tr><td>c++          </td><td> 574263</td></tr>\n",
       "\t<tr><td>ios          </td><td> 566075</td></tr>\n",
       "\t<tr><td>css          </td><td> 539818</td></tr>\n",
       "\t<tr><td>mysql        </td><td> 522287</td></tr>\n",
       "\t<tr><td>sql          </td><td> 445419</td></tr>\n",
       "\t<tr><td>asp.net      </td><td> 334479</td></tr>\n",
       "\t<tr><td>ruby-on-rails</td><td> 293432</td></tr>\n",
       "\t<tr><td>objective-c  </td><td> 284451</td></tr>\n",
       "\t<tr><td>c            </td><td> 279915</td></tr>\n",
       "\t<tr><td>.net         </td><td> 269578</td></tr>\n",
       "\t<tr><td>arrays       </td><td> 266578</td></tr>\n",
       "\t<tr><td>angularjs    </td><td> 252951</td></tr>\n",
       "\t<tr><td>r            </td><td> 243016</td></tr>\n",
       "\t<tr><td>json         </td><td> 236552</td></tr>\n",
       "\t<tr><td>sql-server   </td><td> 234713</td></tr>\n",
       "\t<tr><td>node.js      </td><td> 229843</td></tr>\n",
       "\t<tr><td>iphone       </td><td> 219161</td></tr>\n",
       "\t<tr><td>swift        </td><td> 196253</td></tr>\n",
       "\t<tr><td>ruby         </td><td> 195860</td></tr>\n",
       "\t<tr><td>regex        </td><td> 190061</td></tr>\n",
       "\t<tr><td>ajax         </td><td> 188184</td></tr>\n",
       "\t<tr><td>xml          </td><td> 173524</td></tr>\n",
       "\t<tr><td>⋮</td><td>⋮</td></tr>\n",
       "\t<tr><td>impala             </td><td>1011</td></tr>\n",
       "\t<tr><td>box-api            </td><td>1010</td></tr>\n",
       "\t<tr><td>drawrect           </td><td>1010</td></tr>\n",
       "\t<tr><td>expo               </td><td>1010</td></tr>\n",
       "\t<tr><td>package.json       </td><td>1010</td></tr>\n",
       "\t<tr><td>credit-card        </td><td>1009</td></tr>\n",
       "\t<tr><td>data-conversion    </td><td>1009</td></tr>\n",
       "\t<tr><td>omnet++            </td><td>1009</td></tr>\n",
       "\t<tr><td>c-strings          </td><td>1008</td></tr>\n",
       "\t<tr><td>google-docs-api    </td><td>1008</td></tr>\n",
       "\t<tr><td>publishing         </td><td>1008</td></tr>\n",
       "\t<tr><td>jogl               </td><td>1007</td></tr>\n",
       "\t<tr><td>node-red           </td><td>1007</td></tr>\n",
       "\t<tr><td>postgresql-9.4     </td><td>1007</td></tr>\n",
       "\t<tr><td>uinavigationitem   </td><td>1007</td></tr>\n",
       "\t<tr><td>playframework-2.1  </td><td>1006</td></tr>\n",
       "\t<tr><td>cakephp-2.1        </td><td>1005</td></tr>\n",
       "\t<tr><td>device-driver      </td><td>1005</td></tr>\n",
       "\t<tr><td>jasperserver       </td><td>1004</td></tr>\n",
       "\t<tr><td>webdeploy          </td><td>1004</td></tr>\n",
       "\t<tr><td>cat                </td><td>1003</td></tr>\n",
       "\t<tr><td>date-formatting    </td><td>1003</td></tr>\n",
       "\t<tr><td>java-2d            </td><td>1003</td></tr>\n",
       "\t<tr><td>lattice            </td><td>1003</td></tr>\n",
       "\t<tr><td>directory-structure</td><td>1002</td></tr>\n",
       "\t<tr><td>relation           </td><td>1002</td></tr>\n",
       "\t<tr><td>doctype            </td><td>1001</td></tr>\n",
       "\t<tr><td>rvest              </td><td>1001</td></tr>\n",
       "\t<tr><td>tableviewcell      </td><td>1000</td></tr>\n",
       "\t<tr><td>yahoo              </td><td>1000</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A tibble: 4080 × 2\n",
       "\\begin{tabular}{ll}\n",
       " tag & tag\\_total\\\\\n",
       " <chr> & <dbl>\\\\\n",
       "\\hline\n",
       "\t javascript    & 1632049\\\\\n",
       "\t java          & 1425961\\\\\n",
       "\t c\\#            & 1217450\\\\\n",
       "\t php           & 1204291\\\\\n",
       "\t android       & 1110261\\\\\n",
       "\t python        &  970768\\\\\n",
       "\t jquery        &  915159\\\\\n",
       "\t html          &  755341\\\\\n",
       "\t c++           &  574263\\\\\n",
       "\t ios           &  566075\\\\\n",
       "\t css           &  539818\\\\\n",
       "\t mysql         &  522287\\\\\n",
       "\t sql           &  445419\\\\\n",
       "\t asp.net       &  334479\\\\\n",
       "\t ruby-on-rails &  293432\\\\\n",
       "\t objective-c   &  284451\\\\\n",
       "\t c             &  279915\\\\\n",
       "\t .net          &  269578\\\\\n",
       "\t arrays        &  266578\\\\\n",
       "\t angularjs     &  252951\\\\\n",
       "\t r             &  243016\\\\\n",
       "\t json          &  236552\\\\\n",
       "\t sql-server    &  234713\\\\\n",
       "\t node.js       &  229843\\\\\n",
       "\t iphone        &  219161\\\\\n",
       "\t swift         &  196253\\\\\n",
       "\t ruby          &  195860\\\\\n",
       "\t regex         &  190061\\\\\n",
       "\t ajax          &  188184\\\\\n",
       "\t xml           &  173524\\\\\n",
       "\t ⋮ & ⋮\\\\\n",
       "\t impala              & 1011\\\\\n",
       "\t box-api             & 1010\\\\\n",
       "\t drawrect            & 1010\\\\\n",
       "\t expo                & 1010\\\\\n",
       "\t package.json        & 1010\\\\\n",
       "\t credit-card         & 1009\\\\\n",
       "\t data-conversion     & 1009\\\\\n",
       "\t omnet++             & 1009\\\\\n",
       "\t c-strings           & 1008\\\\\n",
       "\t google-docs-api     & 1008\\\\\n",
       "\t publishing          & 1008\\\\\n",
       "\t jogl                & 1007\\\\\n",
       "\t node-red            & 1007\\\\\n",
       "\t postgresql-9.4      & 1007\\\\\n",
       "\t uinavigationitem    & 1007\\\\\n",
       "\t playframework-2.1   & 1006\\\\\n",
       "\t cakephp-2.1         & 1005\\\\\n",
       "\t device-driver       & 1005\\\\\n",
       "\t jasperserver        & 1004\\\\\n",
       "\t webdeploy           & 1004\\\\\n",
       "\t cat                 & 1003\\\\\n",
       "\t date-formatting     & 1003\\\\\n",
       "\t java-2d             & 1003\\\\\n",
       "\t lattice             & 1003\\\\\n",
       "\t directory-structure & 1002\\\\\n",
       "\t relation            & 1002\\\\\n",
       "\t doctype             & 1001\\\\\n",
       "\t rvest               & 1001\\\\\n",
       "\t tableviewcell       & 1000\\\\\n",
       "\t yahoo               & 1000\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A tibble: 4080 × 2\n",
       "\n",
       "| tag &lt;chr&gt; | tag_total &lt;dbl&gt; |\n",
       "|---|---|\n",
       "| javascript    | 1632049 |\n",
       "| java          | 1425961 |\n",
       "| c#            | 1217450 |\n",
       "| php           | 1204291 |\n",
       "| android       | 1110261 |\n",
       "| python        |  970768 |\n",
       "| jquery        |  915159 |\n",
       "| html          |  755341 |\n",
       "| c++           |  574263 |\n",
       "| ios           |  566075 |\n",
       "| css           |  539818 |\n",
       "| mysql         |  522287 |\n",
       "| sql           |  445419 |\n",
       "| asp.net       |  334479 |\n",
       "| ruby-on-rails |  293432 |\n",
       "| objective-c   |  284451 |\n",
       "| c             |  279915 |\n",
       "| .net          |  269578 |\n",
       "| arrays        |  266578 |\n",
       "| angularjs     |  252951 |\n",
       "| r             |  243016 |\n",
       "| json          |  236552 |\n",
       "| sql-server    |  234713 |\n",
       "| node.js       |  229843 |\n",
       "| iphone        |  219161 |\n",
       "| swift         |  196253 |\n",
       "| ruby          |  195860 |\n",
       "| regex         |  190061 |\n",
       "| ajax          |  188184 |\n",
       "| xml           |  173524 |\n",
       "| ⋮ | ⋮ |\n",
       "| impala              | 1011 |\n",
       "| box-api             | 1010 |\n",
       "| drawrect            | 1010 |\n",
       "| expo                | 1010 |\n",
       "| package.json        | 1010 |\n",
       "| credit-card         | 1009 |\n",
       "| data-conversion     | 1009 |\n",
       "| omnet++             | 1009 |\n",
       "| c-strings           | 1008 |\n",
       "| google-docs-api     | 1008 |\n",
       "| publishing          | 1008 |\n",
       "| jogl                | 1007 |\n",
       "| node-red            | 1007 |\n",
       "| postgresql-9.4      | 1007 |\n",
       "| uinavigationitem    | 1007 |\n",
       "| playframework-2.1   | 1006 |\n",
       "| cakephp-2.1         | 1005 |\n",
       "| device-driver       | 1005 |\n",
       "| jasperserver        | 1004 |\n",
       "| webdeploy           | 1004 |\n",
       "| cat                 | 1003 |\n",
       "| date-formatting     | 1003 |\n",
       "| java-2d             | 1003 |\n",
       "| lattice             | 1003 |\n",
       "| directory-structure | 1002 |\n",
       "| relation            | 1002 |\n",
       "| doctype             | 1001 |\n",
       "| rvest               | 1001 |\n",
       "| tableviewcell       | 1000 |\n",
       "| yahoo               | 1000 |\n",
       "\n"
      ],
      "text/plain": [
       "     tag                 tag_total\n",
       "1    javascript          1632049  \n",
       "2    java                1425961  \n",
       "3    c#                  1217450  \n",
       "4    php                 1204291  \n",
       "5    android             1110261  \n",
       "6    python               970768  \n",
       "7    jquery               915159  \n",
       "8    html                 755341  \n",
       "9    c++                  574263  \n",
       "10   ios                  566075  \n",
       "11   css                  539818  \n",
       "12   mysql                522287  \n",
       "13   sql                  445419  \n",
       "14   asp.net              334479  \n",
       "15   ruby-on-rails        293432  \n",
       "16   objective-c          284451  \n",
       "17   c                    279915  \n",
       "18   .net                 269578  \n",
       "19   arrays               266578  \n",
       "20   angularjs            252951  \n",
       "21   r                    243016  \n",
       "22   json                 236552  \n",
       "23   sql-server           234713  \n",
       "24   node.js              229843  \n",
       "25   iphone               219161  \n",
       "26   swift                196253  \n",
       "27   ruby                 195860  \n",
       "28   regex                190061  \n",
       "29   ajax                 188184  \n",
       "30   xml                  173524  \n",
       "⋮    ⋮                   ⋮        \n",
       "4051 impala              1011     \n",
       "4052 box-api             1010     \n",
       "4053 drawrect            1010     \n",
       "4054 expo                1010     \n",
       "4055 package.json        1010     \n",
       "4056 credit-card         1009     \n",
       "4057 data-conversion     1009     \n",
       "4058 omnet++             1009     \n",
       "4059 c-strings           1008     \n",
       "4060 google-docs-api     1008     \n",
       "4061 publishing          1008     \n",
       "4062 jogl                1007     \n",
       "4063 node-red            1007     \n",
       "4064 postgresql-9.4      1007     \n",
       "4065 uinavigationitem    1007     \n",
       "4066 playframework-2.1   1006     \n",
       "4067 cakephp-2.1         1005     \n",
       "4068 device-driver       1005     \n",
       "4069 jasperserver        1004     \n",
       "4070 webdeploy           1004     \n",
       "4071 cat                 1003     \n",
       "4072 date-formatting     1003     \n",
       "4073 java-2d             1003     \n",
       "4074 lattice             1003     \n",
       "4075 directory-structure 1002     \n",
       "4076 relation            1002     \n",
       "4077 doctype             1001     \n",
       "4078 rvest               1001     \n",
       "4079 tableviewcell       1000     \n",
       "4080 yahoo               1000     "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Find total number of questions for each tag\n",
    "sorted_tags <- by_tag_year %>%\n",
    "group_by(tag) %>%\n",
    "summarize(tag_total = sum(number)) %>%\n",
    "arrange(desc(tag_total)) \n",
    "# Print the new table\n",
    "sorted_tags"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "dc": {
     "key": "46"
    },
    "deletable": false,
    "editable": false,
    "run_control": {
     "frozen": true
    },
    "tags": [
     "context"
    ]
   },
   "source": [
    "## 7. How have large programming languages changed over time?\n",
    "<p>We've looked at selected tags like R, ggplot2, and dplyr, and seen that they're each growing. What tags might be <em>shrinking</em>? A good place to start is to plot the tags that we just saw that were the most-asked about of all time, including JavaScript, Java and C#.</p>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "dc": {
     "key": "46"
    },
    "tags": [
     "sample_code"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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dvYGApQgAIUoAAFKEABYwowQNLRuPfZ\nelFZ+DqKVt6H7s5qWHzCJDC6GvFZs2AyebtdTyMTDoavfzxqit9FxvjrJRcqzO3ayAZRgAIU\noAAFKEABChhLgFXsdDLe9RVf4/fPDkXub9fA2t2EpBHnYs8jvkdizpluGRwpdi+TWSv5bevt\nQmX+KzoZCXaDAhSgAAUoQAEKUMCTBRggefLoSdtbG1ZixTcnY+X3s9HenIuY1OO1kt0ZE66V\nGaQQt+9dXMZJEij5ojxvkWxUa3P79rKBFKAABShAAQpQgAL6FuASOw8d3872chT+dTeqi97S\nehAWMxXpE65DcPg4j+qRt2+EBHXHoqrgddSVfYaopMM8qv1sLAUoQAEKUIACFKCAvgQYIHnY\nePZYW1Cy5lGUrn9OCtN1ISAkW0p2X4vIhIM8rCf/a25C1mlagFSW+wIDpP+x8G8UoAAFKEAB\nClCAAi4QYIDkAvThXNJms6IibzGKVj2Anu4GePtFI23M5YhLV0vUzMM5pdu8Rs16hUTtoVW0\nU3s2BYbmuE3b2BAKUIACFKAABShAAWMJMEDygPGuLf1Y2+i1o7UQJrM/UkZfiuSR58BsCfCA\n1g+uiYlZZ6C59jeU5z6P7D0WDO5FfBYFKEABClCAAhSgAAXsLMAAyc6g9jxdc90fyF82D811\nv6mSbzJb9G+kjr1cSmPH2vMybnGuyKRD4eMXg6qit7Ulg55QYMIt4NgIClCAAhSgAAUoQAG7\nCrCKnV057XOyjtYirP7pfCz78ngtOAqPOxC7H/IpcibfqcvgSKmpfZrUfk1qY9vKgtfsA8mz\nUIACFKAABShAAQpQYIgCnEEaIpgjn27takDR6gdRsWGhlLzuQWDYGGRMuB7hsXs78rJuc+74\njJkoXv2QlPxeKPs3/R+8vLzcpm1sCAUoQAEKUIACFKCAMQQYILnBOKuNUssk96ZYqtP1Wpvh\nG5CAtLFXSvnrGYYKEnyk8ER08tFa6fL6ii+lMt90NxgdNoECFKAABShAAQpQwEgCDJBcONp9\nfX2oLn5H28+oq70MZu9gpI+7RmZPzpBiDH4ubJnrLp2QdboWIJVLyW8GSK4bB16ZAhSgAAUo\nQAEKGFWAAZILR75TqtKtW3o5vGBCQtZspI65BGrjVCMfIZETERwxEQ1V36O9JR8BwRlG5mDf\nKUABClCAAhSgAAWcLMAiDU4G//vl/IPTkb3bPOxx2JfI2m2u4YOjzTYJ2bO1v6pZJB4UoAAF\nKEABClCAAhRwpgADJGdqD3Ct+MyT4R+cNsAjxr0rOulICRYjUVX4X/RYW40LwZ5TgAIUoAAF\nKEABCjhdgAGS08l5wZ0JmMw+iM88Fb09rRIkvbGzp/NxClCAAhSgAAUoQAEK2E2AAZLdKHki\newrEZ54im+OaUa6VPO+z56l5LgpQgAIUoAAFKEABCmxXgAHSdmn4gCsFfP1jEZ10BDpa8qRg\nw3eubAqvTQEKUIACFKAABShgIAEGSAYabE/rKos1eNqIsb0UoAAFKEABClDA8wUYIHn+GOq2\nB6FReyAwbAzqK75GR2uxbvvJjlGAAhSgAAUoQAEKuI8AAyT3GQu2ZACBxOwz5N4+yUV6YYBH\neRcFKEABClCAAhSgAAXsK8AAyb6ePJudBWJSjobFJwyVBW9IVbsOO5+dp6MABShAAQpQgAIU\noEB/AQZI/T34lZsJmMx+iM84Gb3WZm1fJDdrHptDAQpQgAIUoAAFKKAzAQZIOhtQPXZH7YkE\nL5Mss3tRj91jnyhAAQpQgAIUoAAF3EiAAZIbDQabMrCAX2AiohIORXvzein5/ePAT+K9FKAA\nBShAAQpQgAIUsIMAAyQ7IPIUjhdgyW/HG/MKFKAABShAAQpQgAIAAyS+CzxCICzmHwgIyUFd\nxRfobCvziDazkRSgAAUoQAEKUIACnifAAMnzxsywLdZKfvfZJBfpJcMasOMUoAAFKEABClCA\nAo4V8OqTw7GX8Kyz9/T0QN149Bfw9vbWXFz5dumxtuPTRSPg5WXGoaeuhdni17+RLvrKz88P\nNpsN3d3dLmqB+17WbDZrjevt7XXfRrqoZT4+PjCZTOjs7HRRC9z3sl5eXrBYLLBare7bSBe1\nTLmom/p+o77v8Ogv4Ovri66urv538ivte436nqP3zzjqZ01gYCBHnAK7LGDZ5TPo7ATqG2t7\ne7vOerXr3QkJCUFbWxtc/UE3IWMmitc+gQ0rX0JC5sxd75gdzqACJPVDp6WlxQ5n09cp/P39\ntQ51dHAPq61HNiwsTPvQwvfN1jLQAoCAgAD+m9qWRvvwpwIk9XOKAeS2QOqXefw3NbCLCpD0\n/hlH/TzmQQF7CDBA2kpR/UaOM0hbociXauZIBUeutonNOEUCpCdRsu45xKSeuG1DXXSP8nG1\njYu6vsPLqn9PtBmYaPNsLN832/qoGSS+b7Z1UfdsnjVyh+/HA7fQ9ffy39S2Y6Bmq9XBzzjb\n2vAeCgwkwBykgVR4n9sK+AelICLhILQ1rkZTzVK3bScbRgEKUIACFKAABSjgmQIMkDxz3Azd\naq1YgwiU5b5gaAd2ngIUoAAFKEABClDA/gIMkOxvyjM6WCAsZm/4B2eituwTdHVUOfhqPD0F\nKEABClCAAhSggJEEGCAZabR10leVn5CYPVsSo3pZ8lsnY8puUIACFKAABShAAXcRYIDkLiPB\ndgxJIDb1BCnzHYTK/Fdg62V57SHh8ckUoAAFKEABClCAAtsVYIC0XRo+4M4CZu9AxKafCGtX\nHWpK3nfnprJtFKAABShAAQpQgAIeJMAAyYMGi03tL5CQdZp2B4s19HfhVxSgAAUoQAEKUIAC\nwxdggDR8O77SxQIBwRkIjzsArQ0r0Fz3h4tbw8tTgAIUoAAFKEABCuhBgAGSHkbRwH3QijVI\n/zmLZOA3AbtOAQpQgAIUoAAF7CjAAMmOmDyV8wXUDJJfUCpqSz9Cd2eN8xvAK1KAAhSgAAUo\nQAEK6EqAAZKuhtN4ndFKfmfNRp/Nioq8RcYDYI8pQAEKUIACFKAABewqwADJrpw8mSsEYtP+\nCZPZXwKkl2GTQIkHBShAAQpQgAIUoAAFhivAAGm4cnyd2whYfEKggqTuzmrUlnzkNu1iQyhA\nAQpQgAIUoAAFPE+AAZLnjRlbPIDAlpLfG14Y4FHeRQEKUIACFKAABShAgcEJMEAanBOf5eYC\ngaE5CIvZBy1S7rul4S83by2bRwEKUIACFKAABSjgrgIMkNx1ZNiuIQtsLvldnvv8kF/LF1CA\nAhSgAAUoQAEKUEAJMEDi+0A3AhEJB8E3IAnVxR/A2lWvm36xIxSgAAUoQAEKUIACzhNggOQ8\na17JwQJeXiaoXKQ+W5dW0c7Bl+PpKUABClCAAhSgAAV0KMAASYeDauQuxaWfJCW/fbU9kfps\nvUamYN8pQAEKUIACFKAABYYhwABpGGh8ifsKePuGISZ1Bro6KlBb9on7NpQtowAFKEABClCA\nAhRwSwEGSG45LGzUrggkZJ2uvbw894VdOQ1fSwEKUIACFKAABShgQAEGSAYcdL13OShsFEKj\n90JT7VK0Na7Ve3fZPwpQgAIUoAAFKEABOwowQLIjJk/lPgIJ2bO1xpSx5Lf7DApbQgEKUIAC\nFKAABTxAgAGSBwwSmzh0gaiEQ+DjHyclv9+Btbtp6CfgKyhAAQpQgAIUoAAFDCnAAMmQw67/\nTnuZLFrJb1tvJyrzX9F/h9lDClCAAhSgAAUoQAG7CDBAsgsjT+KOAnHp/4aXyWdjye8+mzs2\nkW2iAAUoQAEKUIACFHAzAQZIbjYgbI79BHz8IhGTcgw620pQV/6F/U7MM1GAAhSggEMEyru6\n8WJlNeYVleL7pmZY+/occh2elAIUoMCOBCw7epCPUcDTBRKyZqOq8E2okt9RiYd4enfYfgpQ\ngAK6E6jutuKLxkZ8Vt+I5W3tW/r3Zm0dQsxmTA8PxeER4dgtKBAmL68tj/MvFKAABRwlwADJ\nUbI8r1sIBEeMQ0jk7mis/hHtzbkICMl2i3axERSgAAWMLFBvteLLxiZ8IkHRH61tWygmBAbg\n0IgwZPj5aY9/3tCIt2rrtVu0twWHhIfhMAmWxsrzeFCAAhRwlAADJEfJ8rxuI6BKfjfX/Y4y\nmUXK3n2e27SLDaEABShgJIGmnh58JUGRmila2tKKzZmhYwL8taDo0PBwxPh4byHZKyQYVycn\n4pfmFi2Q+lpeu7i6Vrsl+frgsE3BUqa/35bX8C8UoAAF7CHAAMkeijyHWwtEJR0OH78YVBW9\nhfTx18DiHezW7WXjKEABCuhFoKW3F99KYPOpzAT9LIFOz6aUohwJatRM0WESFCVIsLO9wyJL\n6vYODdFuXTablpekZp1UftIzkqukbtlyrsM2nStmeyfi/RSgAAWGIMAAaQhYfKpnCphM3ojP\nPAVFq+5HZcHrSMo5yzM7wlZTgAIU8ACBDhUUSQCjgqIfm1q2FFrI8PPdMlOUKn8f6uFrMkk+\nUph2a5NrqNkoFSypGaaHyyq12+6l5TgoOBAHy/OivP83GzXUa/H5FKCAsQUYIBl7/A3T+/iM\nk1G85hGUb3gRidlnwouJvoYZe3aUAhRwvECnzO78uCko+q6xGV2bqs+l+PpK3lColjdkz6Vw\ngVK84ejICO3WIEv3VK6SCpZ+l6BJ3e4pKccewUHazNL0sDAEW8yOR+AVKEAB3QgwQNLNULIj\nOxLw8Y9BdNKRqC5+Bw2VXyMiftqOns7HKEABClBgJwJWCYqWqPwgCU6+kaCoQ75WR4KPjxYU\nqSV0IwMcX0wh3GLBv6KjtFtPcAgW527QZq9UnpO6zS8uw96Sz6SW4e0fFgp/mYniQQEKUGBH\nAgyQdqTDx3QloIo1qABJFWtggKSroWVnKEABJwn0yMzQUgmK1PI5tcSttXdjUBQjy9lmREVo\nS+jGBQY6qTXbXiZB8pFOj4vRbkWdXTKr1KAFcGrJn7r5SXB0gOQ0qWBpqgRN3gyWtkXkPRSg\nABgg8U1gGIGQyEkICh8nM0jfoqOlAP7B6YbpOztKAQpQYLgCvRIUqVLcKtj4sqEJTZL/o45I\nmbk5IjpcCzYmSlDkbkuXVZ7TOQlx2m1dewc+lvarwE7NeKlb8KY9llQ1PLUcj3ssDfcdwtdR\nQH8CDJD0N6bs0Q4EErPPwLqll6NMcpGyJt2yg2fyIQpQgALGFeiToGhZWxs+lbyezyUoqpc8\nH3WESS6PNlPkYUHFCCklrm6XJMZrm9GqYEn1623ZY0ndVLCnVdWTmSVXzoAZ9x3HnlPAvQQY\nILnXeLA1DhaITj4K+cvnoargDaSPvQpmb9ctBXFwV3l6ClCAAkMWWNnWrgVFnzY0oMa6MSgK\nMpukGILMFElQtKcsS1Oltz31ULNcE4MCtZvaY0nlKKlgSe2x9LLssaRuKofqcAmUVMCU7e/v\nqV1luylAgV0QYIC0C3h8qecJmMy+2FjR7mFUFr4pFe1O97xOsMUUoAAF7Ciwtn1zUNSIim6r\nduYAyc3RggQJivSaq2OWYGmKBHzq1i0FJn6QkuSfSGCoqvA9K/srqZsqTX54xMZlhElSkY8H\nBShgDAEGSMYYZ/bybwLxmaeieO1jUvL7JQZIf3PhXylAAeMI5HV0avk4n8rsSXFXt9ZxP5OX\n7B8UKhXowrCvFDJQ+w4Z5fCRvk6Tvqtbu+RYqap8H0uwpDa3fbS8UruNkSV6KlhSeyzF+HCP\nJaO8N9hPYwowQDLmuBu6174BcYhKOgy1JR9KwYbvER63r6E92HkKUMAYAkWdm4OiRuRLhTd1\neMssygFhIThUPvTvL0GRvxQuMPoRIAZHyJJCdWuS3KsvJFdJLcNThSpWSbGHe2Uz2t1lM9rD\nw8NxkARUoZK/xIMCFNCXAP9V62s82ZtBCiRmnaEFSGW5zzNAGqQZn0YBCnieQFlXFz6TD/iq\n2MK6jg6tAxZJIdpHlpUdIjk2B8q+QEEMirY7sCr4OSE6UrtVy/LDz1QFPAmWfmtp024LSkpl\nid7GsuGqfLgKrnhQgAKeL8AAyfPHkD0YhkBo9GQEho1GfcVX6Ggthn9QyjDOwpdQgAIUcD+B\nqu5u7YO8CorUjIc61GK5f0gpaxUUHSRBUQhnPTSXofxPLas7NTZau5VI4PmJ+Kpg6XvZX0nd\n1BLF/UJDtbLnamNatWyPBwUo4JkCDJA8c9zYajsIJGbNxvrfrtZykTIn3mCHM/IUFKAABVwj\nUGu1akvB1D4/y2QpmDpUrbndpWKbCoqmh4Uhwps/8jUYO/wvWQo2nB0fq93WSxCq7a0kwZKa\nYVI3VflvmgSih0nO0p4SmKqCEDwoQAHPEeB3S88ZK7bUzgLRKccif8V8Kfn9OtLGXgGzheVc\n7UzM01GAAg4UaJD8mK9k+ZyqvPa7LPnq23St8YEBWolqVUwg2pvFBBw4BNqpc6R4g7pdrPZY\n0jbUVXtHNeK9ugbtFiGzdar4hQqWJsjYuNuGuo724fkp4IkCDJA8cdTYZrsImC1+iMuYidK1\nj6O66G3EZ55sl/PyJBSgAAUcJdAhFdbel7yXNwuL8bMs6+rddKHR8gFdVZ9Ts0Xxso8PD9cI\nTJAZO3W7MjlBcpRatWV4XzQ24rWaOu0WL8v0VEEMFSypjWt5UIAC7inAAMk9x4WtcpJAgpT8\nLl33JMo2vMAAyUnmvAwFKDB0gb6+Pm0Z10Mr16ByU1nubH8/7cO2CorUki8e7iOgltTtJXlI\n6nadLRE/SrlwlbP0bVMTXqiq0W4qqL07Iw0Jvgxo3Wfk2BIKbBRggMR3gqEF/AKTEJlwMOrK\nPkVj9RKExUwxtAc7TwEKuJ/AClm2dbeUll7Z1g6LfPD+T3oqjg4NRhIrprnfYA3QIm8p1nCA\n5COpm5oB/EZm/j6Q5Xc/SdB06tr1uC8zHRNl1okHBSjgPgIsseI+Y8GWuEggMXu2duWy3Bdc\n1AJelgIUoMC2Aqoa3fUFRTh93QYtONpPykh/Mnk33DpmFDL8uTxrWzH3v0ftM6U2m300OwOX\nJ8WjsacX/1mfh4+kwAMPClDAfQQ4g+Q+Y8GWuEggLGYqAkKyUVf+GTrby+EXkOCilvCyFKAA\nBYAOmw0vVVbLMqxqdNr6kCVL6a5MStCWawUzb0U3b5FZsTFIlaWR1xQUSyBcjBLZvPechDjd\n9I8doYAnC3AGyZNHj223m0BC9hlAnw0VG16y2zl5IgpQgAJDEVB5Rmom4biVa/FERRX8ZWnW\ntSmJeHVUjhYcDeVcfK5nCOwny+5eGJGFWKk2qMb8mvwidEmAzIMCFHCtAAMk1/rz6m4iEJt6\nPMzeIajIfxW23k43aRWbQQEKGEVA5RmdJkvp1ExCvZTvPjUmGu+OHYV/RUdxDx2dvwlUifBF\no7IxRv5U+1idLUvu6mVfKx4UoIDrBBgguc6eV3YjAbMlAHHp/0JPdwOqi99zo5axKRSggJ4F\nKiXP6Lq/5RntL3lG/x09AldImehgFmHQ89D361uUzCA9IzNJ02VG6S8pxnHq2lzkdfCXdf2Q\n+AUFnCjAAMmJ2LyUewskZJ0uDfRCee6L7t1Qto4CFPB4AZVn9ER5pbac7mMp/6xKdj8pifsP\nZKUjxY8luz1+gIfRAT9ZUnlXRirOiItBRbcVp0uQ9KNUvONBAQo4X4ABkvPNeUU3FfAPSkFE\n/DS0Nq5EU+2vbtpKNosCFPBkAZVn9KGUeD5W9jN6UnJOAmSW6PqUJC3PaE/ZM4eHsQW8pIz7\nxYnxuDUtGV3yXrl4QwFeq641Ngp7TwEXCDBAcgE6L+m+AgmbSn6Xs+S3+w4SW0YBDxVYLnlG\ns2RW4IbCYjRIeefTYqPx3tiR+Gd0JEzywZgHBTYLHB0Zoc0oqmWWd5SU4Y7iUvRKwMSDAhRw\njgDLfDvHmVfxEIHw2H3hH5yB2tJP0NVRBV//WA9pOZtJAQq4q0CF5Bk9VFqBTyQBXx0HhIXI\nHjgJSJYSzzwosD2B3YKDsFCKN2izSDV1KOnqxp2yBC+IuWnbI+P9FLCbAGeQ7EbJE+lBQC1v\nULlIfX09qMhbpIcusQ8UoICLBDp6e/GY5BkdL2W7VXCUI3lGT+Vk4v7MdAZHLhoTT7usCqJf\nGpGNPSVY+qm5BbPXbkC5BEo8KEABxwowQHKsL8/ugQKxaf+E2RIoAdLLUvKbP4g8cAjZZAq4\nVEDlGX1QV49jV63F05vyjG6QPKNXZD+jyfJBlwcFhiIQbDHjUSngMSMqAnmdnVqFO1UWngcF\nKOA4AQZIjrPlmT1UwOIdhNi0E2HtqkVNyQce2gs2mwIUcIXAsk15RjcWlqDxb3lGJzDPyBXD\noZtrWmR1w42pybhUCjg0yj5Zaq+kT2RTYR4UoIBjBBggOcaVZ/VwgYRsVfIbKN/wgvYn/0cB\nClBgRwJq2dM1+UU4QzZ7XdXegQMlz+itMSNwmeQaMWdkR3J8bCgCp0sJ8Psy07SiHtfKpsJP\nVVQO5eV8LgUoMEgBBkiDhOLTjCUQIIUawmP3Q0v9cjTXLTNW59lbClBg0AIqz+jRsgocL8vp\nPt2UZ/S05BndJ3lGSSzCMGhHPnHwAgfIZrIvyKayMbK57OPlVdpGw92yrxYPClDAfgIMkOxn\nyTPpTGBLyW/OIulsZNkdCuy6gMozek/yjI6RwOiZymptlujG1I15Rnswz2jXgXmGHQqMCPDH\nIqlwN1r+VBsN/0eW3NVbe3b4Gj5IAQoMXoAB0uCt+EyDCUTEHwi/wBQtD6m7kxv1GWz42V0K\nbFfgz9ZWnCL7Gd0seUZNkmc0e9N+RjOiuJ/RdtH4gN0FomUG6RmZSZomM0rL29q1PbbyOjrt\nfh2ekAJGFGCAZMRRZ58HJeDlZdpY8ttmlYp2iwf1Gj6JAhTQr4DKM7o6vxBnrsvDGskzOkg+\nmL4teUaXSJ5RIPem0e/Au3HP/E0m3CN7I6kgvVz225q9LhdLpBw4DwpQYNcEGCDtmh9frXOB\nuPQTYTL7a3si9dm4fEHnw83uUWBAgXbJM3pkU57R5w1NGOHvj2ckz+iezDQkMs9oQDPe6TwB\ntX+fCtLnSpW7TlsfLsrNx+s1XPXgvBHglfQowABJj6PKPtlNwOITKiW/Z6C7sxo1pR/b7bw8\nEQUo4P4CNskzerd2435Gz0qeUbDMEt0seUYvS+7H7swzcv8BNFgLj5F9kh6X/ZLUbOaC4jLc\nXVKGXnkP86AABYYuwABp6GZ8hcEEErJmaz0uz33BYD1ndylgXIE/WjbmGd1SVIJmyTM6Q8or\nvzd2JI5jnpFx3xQe0HNVIGThyGykyMzmy9W1uHRDAdpkBpQHBSgwNAEGSEPz4rMNKBAYmoOw\nmKlS7vs3tDasNKAAu0wB4whszjM6S6qCrZU8o+lantFIXCwbdAYwz8g4bwQP7mmKn68ESVnY\nIzgQP0g+0mzZm6u8q8uDe8SmU8D5AgyQnG/OK3qgwOaS32WcRfLA0WOTKbBzAfVb9oclz+g4\nKdut8oxGSfnkZyXP6O7MNCT4+uz8BHwGBdxIIMRiwWPZmTguMgIbpLLdv/9ajT9kny4eFKDA\n4AQYIA3Oic8yuEBk/HT4BiSiuvg9WLsaDK7B7lNAPwIqz+id2jocu3ItnpM8o1CLGbdIsvti\nWaa0G/OM9DPQBuyJtxRvuDktGZfI7KfaI2nGkqX4SJbd8aAABXYuwABp50Z8BgXgZTJLye9Z\n6LN1oSL/FYpQgAI6EPhN8oxOXpOLuUWlaJEZpLMkz+jdMSNxrCS7q8pgPCigB4HZ8r5+SPZL\nMqlqd2vW4ZmKKj10i32ggEMFGCA5lJcn15NAXPpMKfntKyW/F0qgxKRXPY0t+2IsgTLJx7gy\nrxBnS57Ruo4OHByu9jMaiQuZZ2SsN4KBejstIhzvTt0LsT4+eLS8EjcUFKPbZjOQALtKgaEJ\nMEAamhefbWABb98wxKQch672ctSVf2ZgCXadAp4poPKMHiwtx/Gr1uHLxiaMljyj50Zk4q4M\n5hl55oiy1UMRGBcagv/uNh4j5X3/YX0DzpH9khp6uL/fUAz5XOMIMEAyzlizp3YQYLEGOyDy\nFBRwsoDKM3pL8oyOkTyjF6pqECZ5RnMlN2OR5BlNCgpycmt4OQq4TiBWyn8/J8vtDggLwbLW\nNsySJab5UsSBBwUo0F+AAVJ/D35FgR0KBIWNRkjUZDTV/Iy2pnU7fC4fpAAFXC+g8oxmrlmP\n2yTPqFVmkP5vU57RMVLdi3lGrh8ftsD5Av4mE+6TWdPTYqNR1t2N09fl4mcpB86DAhT4nwAD\npP9Z8G8UGJRAYvYZ2vNY8ntQXHwSBVwiUCp5RldsyjNaL78hPyQ8DO/IRq8XSJ6RP/czcsmY\n8KLuI6B+OXBZUgJuTk1Cp+QiXSjL7d6sqXOfBrIlFHCxgMXF1+flKeBxAlGJh8LHPxbVRW8h\nffw10v54j+sDG0wBvQqoWSJVpWuxlDPukaV1YyTf4srkREwMCtRrl9kvCgxb4LioSCTJsrvL\n5ZcJ84pLUdjZicslcFIV73hQwMgCnEEy8uiz78MS8DJZkJA5C7beTlQVvDasc/BFFKCA/QWW\nS06FyjN6UfKMwiXP6FbJM1ooeUYMjuxvzTPqR2AP2e9L/TtJkQ2R1S8WLpVgqV1+0cCDAkYW\nYIBk5NFn34ctEJdxsuyN5IPyDS+hr4+lUocNyRdSwE4C9VYrrsovRKNU5To7Plbbz+ho5hnZ\nSZen0btAqp8vXpIgaXeZaf2+qRlnrNuASslP4kEBowowQDLqyLPfuyTg4xeJ6OSj0NlWgvKC\nj3bpXHwxBSiwawKqSt21sq9LjbUH5yXE4Xy5Mc9o10z5auMJhFoseDwnE8dEhkPl7Z0qFe5W\ntrUbD4I9poAIMEDi24ACwxTYXKwhd/mjwzwDX0YBCthD4HHZ+HKpVKubEhKMs6RKHQ8KUGB4\nAt6SezQ3LQUXSzGTOpmN/T+ZSfq8oXF4J+OrKODBAgyQPHjw2HTXCgRHjEdwxCRUFX+JlgaW\n/HbtaPDqRhX4UZYDPVNZjVhvb8xLT2FyuVHfCOy3XQXOkF803CulwFWthqvzi/CsFD7hQQEj\nCTBAMtJos692F0jMnq2dc8OKR+x+bp6QAhTYsUCF5EhcL0vrLPIh7q6MVCnMwMKsOxbjoxQY\nvMC08FA8m5OFaG8LHpFZ2psKi2GVkuA8KGAEAQZIRhhl9tFhAlHJRyIwJB1Fa15AXfkXDrsO\nT0wBCvQXsErekfrNdpNU21JlicezjHd/IH5FATsIjA4MwKKRORjh74/36xpwjuyXpAqh8KCA\n3gUYIOl9hNk/hwqYTN6YcvhiqWjnjXVLr0Bne7lDr8eTU4ACGwXuKynXEsinh4ViZkw0WShA\nAQcJxPh44/kRmTggNAR/Sin9WWtztf2SHHQ5npYCbiHAAMkthoGN8GSByLg9MG7KAvR0N2Lt\nkgvRZ+Nv1zx5PNl29xf4rL4Rr9bUavu23CJ7HfGgAAUcK6CqQt6bmYZZsdEo7erWgqRfmlsc\ne1GenQIuFGCA5EJ8Xlo/AhnjzkFk4mForvsd+Svu0E/H2BMKuJlAUWcn5haVwFeyx++RD2yB\n8sGNBwUo4HgBk/ybU8tZb0xNQqfkIl0gy+3eqqlz/IV5BQq4QIABkgvQeUl9CoyYfDf8ApNR\ntv5p5iPpc4jZKxcLdMiHsivyitAuf16XkoRsyYvgQQEKOFdgRlQkHs3KQID8cuK24lLcV1oO\ntRcZDwroSYABkp5Gk31xqYDFJwSjpjy2KR/pctlEtsyl7eHFKaA3gflFpciTGaTjoyJwjNx4\nUIACrhHYU/Yce2lkFpJ9fbCwqgaX5xWiQwqm8KCAXgQYIOllJNkPtxBQeyNlTLhR8pGasObn\nC2GzWd2iXWwEBTxdQC3l+aC+ATn+fpiTnOjp3WH7KeDxAml+fhIkZWM3qSD5rexHNls2la2S\n0vs8KKAHAQZIehhF9sGtBBKzT0dU4uFoqfsDBSsWuFXb2BgKeKLAuvYO3FlShiCzCXfL5pW+\nJv7o8sRxZJv1JxAme489kZ2BoyPDsb6jUyvesLqtXX8dZY8MJ8CfMoYbcnbYGQI5k++SfKQU\nyUd6lvlIzgDnNXQr0CLLdq7ML0S35DjMTU1Bip+vbvvKjlHAEwW85RcWt6al4MKEONRYe3DW\n+g34sqHRE7vCNlNgiwADpC0U/AsF7CfQLx/pF+Yj2U+WZzKawE2FxVpZ4dOkvPC08FCjdZ/9\npYDHCJwVHyszvKlQ9RqulE2cn6+s9pi2s6EU2FqAAdLWIvyaAnYSCI4Yh8yJN6HHKvlISy5g\nPpKdXHka4wi8KB+wvmlsxkTJcbgoMd44HWdPKeChAtPDw/DsiCxEeVvwUFkF3qllGXAPHUrD\nN5sBkuHfAgRwpEBC1mmISjoCLfV/omD5fEdeiuemgK4Efm1sxMPyASvcYsad6amwyB4sPChA\nAfcXGBMYgIVSvOEEqTR5ZES4+zeYLaTAAAIMkAZA4V0UsKfAlnyk3OdQV/a5PU/Nc1FAlwJ1\nVisuWLEaNundfAmOYny8ddlPdooCehWI8/HBDanJUPlJPCjgiQJ853riqLHNHiVg8Q7GqKlq\nfyQfrFt6heyPVOpR7WdjKeBMAbXh5NW5+aiWcsHnSdL3P2S/FR4UoAAFKEABZwowQHKmNq9l\nWIHgcOYjGXbw2fEhCTxeXolfmluwnyzNOSsuZkiv5ZMpQAEKUIAC9hBggGQPRZ6DAoMQSMia\nJflIR0o+0jLkL583iFfwKRQwlsCPstnkM1KYIU6W1D0wdhRMzDsy1huAvaUABSjgJgIMkNxk\nINgMYwjkTL4TfkGpKM99HrVlnxqj0+wlBQYhUClL6q4vKJZiDMC92ZmIkBwGHhSgAAUoQAFX\nCDBAcoU6r2lYAZWPNHrK5nykKyUfqcSwFuw4BTYLWCXv6CrZN6VJNoW9PCkBE4KDNj/EPylA\nAQpQgAJOF2CA5HRyXtDoAkHhY5E56Rb0Wps37o/U2210Evbf4AL3lZRjZVs7poeFYmZMtME1\n2H0KUIACFHC1AAMkV48Ar29IgYTMUxCdfJTkIy1H/gruj2TINwE7rQl8Vt+IV2tqkeLri1vS\nkqlCAQpQgAIUcLkAAySXDwEbYFSB7D3uhH9Q2sZ8pNJPjMrAfhtYoKizE3OLSuArxRjuyUxF\noNlsYA12nQIUoAAF3EWAAZK7jATbYTgBi3cQRmn5SL5Y9+tV6GgtNpwBO2xcgQ6bDVfkFaFd\n/rwuJQnZ/v7GxWDPKUABClDArQQYILnVcLAxRhMICh+DLOYjGW3Y2V8RmF9UijyZQTo+KgLH\nyI0HBShAAQpQwF0EGCC5y0iwHYYViM88WfKRjkZrwwrZH+l2wzqw48YReKumDh/UNyDH3w9z\nkhON03H2lAIUoAAFPEKAAZJHDBMbqXeB7D3u2JiPtOFF1JZ+rPfusn8GFljX3oE7S8oQZDZJ\n3lEafE38MWTgtwO7TgEKUMAtBfiTyS2HhY0ymoCWjzT1cXiZmI9ktLE3Un9bZJ+jK/ML0S37\nHs1NTUGyVK7jQQEKUIACFHA3AQZI7jYibI9hBYLCRm/KR2qR/ZHOh437Ixn2vaDXjt9UWIzS\nrm6cFhuNaeGheu0m+0UBClCAAh4uwADJwweQzdeXgJaPlHKM5CP9JflIt+mrc+yNoQVerKzG\nN43NmBAYgIsS4w1twc5TgAIUoIB7CzBAcu/xYesMKJCzu8pHSkf5hpdQU/qRAQXYZb0J/Nna\niofLKhBuMeOujDRYZN8jHhSgAAUoQAF3FWCA5K4jw3YZVsDsHYhRm/KR1v96NfdHMuw7QR8d\nr7daMSe/CDbpzvz0VMT4eOujY+wFBShAAQroVoABkm6Hlh3zZIGgsFHI2m0ueq2b85G6PLk7\nbLtBBWxSjOHagmLUWHtwXkIc/hESbFAJdpsCFKAABTxJgAGSJ40W22oogfiMmYhJOU7LR8pb\nxnwkQw2+Tjr7eHkllra0YooERmfFxeikV+wGBShAAQroXYABkt5HmP3zaIHs3efDPzgDFXkL\nUVPyoUf3hY03lsCPTc14RgozxHp7y9K6FJiYd2SsNwB7SwEKUMCDBRggefDgsen6F1D5SKOn\nPA6T2Rcb85GK9N9p9tDjBSq7u3G9LK2zSC2GuzJSEWaxeHyf2AEKUIACFDCOAAMk44w1e+qh\nAoFhI2V/pNvQ29OKNT+p/ZGYj+ShQ2mIZlsl7+gqKcrQJJvCXp6UgPFBgYboNztJAQpQgAL6\nEWCApJ+xZE90LBCXcRJiUo9Ha+NK5C27Vcc9Zdc8XeC+knKsbGvHwbIR7MyYaE/vDttPAQpQ\ngAIGFGCAZMBBZ5c9U2BjPlKm5CMtQk3xB57ZCbZa1wKf1Tfi1ZpapPj64ubUZF33lZ2jAAUo\nQAH9CjBA0u/Ysmc6EzBbAjBa9kfS8pF+m4OOlkKd9ZDd8WSBos5OzC0qga8UY7gnMxWBZrMn\nd4dtpwAFKEABAwswQDLw4LPrnicQGDpC9ke6XctHWr2E+UieN4L6bHGHzYYr8orQLn9el5qE\nbH9/fXaUvaIABShAAUMIMEAyxDCzk3oSiEv/l+QjzUBb4yrk/XmLnrrGvniowPyiUuTJDNLx\nURE4JjLCZb1o7GnGWzUfIr+D1R5dNgi8MAUoQAEdCLD2qg4GkV0wnkD27vPQUr8CFfkvIzRm\nqmwoe7TxENhjtxB4q6YOH9Q3IMffD3OSE13Wpt9bVuC6vAWottZqbUj3S8H08H0xPWI/5ARk\nuKxdvDAFKEABCniegFsESMXFxfjpp58QERGBqVOnIigoaFCS3333HYKDgzFp0qR+z29pacGP\nP/4I9edee+2FlJSUfo/zCwp4usDmfKQ/vzgauZKPFBw+VjaUTff0brH9Hiawrr0Dd5aUIchs\nkryjNPianL8owdZnw1Pli/B0+WL0yX8nRh+N8u5K/NL8J56uWKzdEn3jcJAESweH748xgTnw\n4qa1HvZOY3MpQAEKOFfAfIsczr1k/6stXLgQN954IwIDA/Hzzz/j3XffxYEHHgj/naxhX7Zs\nGebMmaMFP+PHj99y0oKCAsycORMVFRXolCUfjzzyCHJycpCUlLTlOTv6S7dscKhuPPoLqPFQ\nLjbJMeDRX0AF6b2y50tHR0f/Bxz8lY9fJHz841Bb+iGaapciLu2f8DK5xe88tvTcx8dH+7vV\nat1yH/+yUSAgIABmKWTQ2trqkSQt8p4/JzcPDT29WJCeiol23O9Iuaj3jvoevqOjursWl264\nCe/XfY4o7wg8kH0rToo9FkdEHoSTY49Hpl8qbBI0rW/Pwx+tf+Ht2o/wTu0nqOiuRoDJH7E+\nUR4XLPlKhUBlo77fqO87PPoLqM8SbW1t/e/kV9r3GvU9R++fcdS/DfVvhAcFdlXApZ+m1MzR\n888/jwcffBATJ05ET08Pzj33XLz22mvanwN1Tj1HBVXqNtBvARcsWIBjjjkGl1xyifb4iy++\niPvvvx+vvvrqgM8f6Bq8jwKeIhCXfiKaapagqvC/2PDnXOTsscBTms52erjATYXFKO3qxqzY\naEyTPY+cfXzbsAQ3F9wtG9K2YJ/QvXBr+lUI9/5fO4LMgTgyarp26+jtwA9NS/FFw/f4oXEp\nXq56S7tFWMK0maWDIvbB7sETYPFi5T1njyOvRwEKUMAdBZy/HuJvCkuXLkVCQoIWHKm7LRYL\nDjvsMHz++ed/e1b/v3700Uf48MMPMX/+fCQn999no66uDmvWrMGxxx67JRg66qijUF5ejtWr\nV/c/Eb+igE4Esnabh4CQbFRKPlJ18Xs66RW74c4CL1ZW45vGZkwIDMDFifFObarVZsXdxY9p\nM0dttg5ckXwuHs65vV9wtHWD/M3+ODhif9yZeQO+nvQm7s+aiyMjp8Pa14M3at7HuevmYPqf\nJ+KWgnvwfeMvUNfgQQEKUIACxhVw6QySWgaXmNg/qVcFTLW1tdpSLtMA69n33ntvHHHEEVow\n9dhjj/UbucrKSu1rdY7NR2SkLEOSKdfq6mqMGTNm893any+99BL+vvRHLcXbc889teV+/Z7I\nL7TpebXMjkvsBn4zqCVBammHa45A7HbQC/jpvemSj3QtYhImIzA0yzVN2eqq6t9eX1/fll9Y\nbPWwob/c/P3Nde+b4fH/1tSMh8sqJCCx4OGxoxDqgOUs6t/TQP+mCttLcMm6G7GmdT1S/BPx\nwOjbMDZ45JA6EgiZWQo+GEcmHSyBUA+WNPyGT2u/xhe13+Pd2k+1W6A5ANMi98Gh0Qdiv4h/\nwM/sPkt2vL29tf76+flh89+HBKDzJ6uVJZ72b8oZQ6L+PalDfU/Ws89AK4uc4ctr6E/ApQGS\nCmhCQkL6qap8DvUhvKmpCeHh4f0eU1+ogGd7hwq41NrTrdefqnM2NDRs87IHHnig31rlGTNm\nYN99993m9du80KB38Ifx9gdezX5u/V7e/rPt/0hIyGTsMe1hLP38/7Diu/9g+kk/wGzxs/+F\nhnnGneUUDvO0uniZK983QwWs6erCZWtzJa8HeHK3iciJjhrqKYb0/L9/z3mj5D3MWXEb2mW5\n3AlJR+HO8TciyLLrv5Q4KuwQHJV+CHr7erGk7jd8WP45Pqr4Eu9Xf6bd/M1+mB67H46MP1j7\n0x7XHBLCdp6s5w+52+nyoO/2pH9Tg+6UnZ440GckO53aLU7T3t7uFu1gIzxfwKUBkvrhp3KK\n/n5s/lolEw71GOh86hwqkXWg891zzz39rq9ms1Ti684Sg4faLj08X/0wVjacQdp2NFUgr2Yi\nXZ1sHxZ/NBIy/43yvFex5LPzMWbKvds21sn3qB/GagaJhU+2hVe/uFGB9UC/vNn22a6/xybj\nePaqtaiSIOmilCSMs5gd1nb12241Q6KS7dt623HrhvvwXvWn8Df5YX7OtTg+9ghYW7rRAPsW\n1BljzsGY5BxclXQ+lrWsxGe132q398slWJKbt5c39gnfE4dEHYADI/ZGqHew0wdGuahfOKgq\nrZt/Xjq9EW58QRUcNTc3u3ELXdM09b1Gfc/R+2ecv/9SxTXSvKpeBFwaIEVFRaGwsLCfpfrG\npj5wbj0L1O9J2/lCnU8FQ+o3CH8PiNQ54+O3XSc/bdq0bc6kfugwQNqGRfuBrD7k8gfytjbq\nHhU4usP7Jn3CLWis+R1luYsQHDFZNpQ9buAGO+le9UFXBUjuYOOkLg/6MptnADzF5lFZVvez\nLK+bEhKMM2RDWEe2W33IUUuBltWtxJy821HcVSb7LGXirqwbkOqX5NBrbx7AUT7ZGJWQjUsS\n/g+r29bjSynw8EX99/i6/kftpgo6TA6eJPss7YMDwqYiwnvbFQ+bz2XPPzd/ANR7NbLhmqkA\nyZHvzeG2y9WvU/+e1KF+huvZRwWCPChgDwGXvpPS09PxySefaP9gN7+pV61atU1e0mA7qkp5\nq/Ooc0yePFl7mSraoD68/j0vabDn4/Mo4GkCZos/Rk99HH98fjTW/34tgsLHSQGHTE/rBtvr\nZgI/SmD0jBRmiJXAZX56ilNyyp4vehXz1j+AHimk8O+YY3FZ8n/gY9r4Ic/ZPKNl7yR1uyjp\nLGxoL9Cq4amKeEuaf9Nu8/AQJgWP1TamnRa+D2KkfDgPClCAAhTwXAGXVrGbPn26Jrd48WIt\niMnPz4eqUjdr1qwtomoz2I8//njL1zv6S2hoKA455BCtdLha7qR+S/LMM89olfGio6N39FI+\nRgHdCKiKdtm7z4Otpx1rlpyP3p4d7yWjm46zIw4RqJSZ4+sLiqUENnBXRirCHPwb2saeZly4\n5lrMXXePtleRqjg3J/VClwVHW6NmBaTj3MTT8ObYp/HOuOdxYeKZGBGQid9bVuDO4kdx6PKZ\nOH31xXip8g2UdVVs/XJ+TQEKUIACHiDg0hkktYzutttuw9y5c6GCJLWuWhVKmDp16ha6L774\nQivTffjhh2+5b0d/UfsoqfMdffTR2jK9CRMm4KKLLtrRS/gYBXQnEJt2giy1+xlVBa8j78+b\nkTP5Tt31kR1yvIBVlkdelV8kew314qrkBIy342awA7X+t+bluC5/AWqsdZgcNhG3pV4tm7m6\n7y+31HK/sxJmarfyriptGZ5aire8dTVWtK3B/SVPYVRA9sa9lmRmKc2//9YUAxnwPgroRcC0\nvhe2HO4tppfxNFo/vCQ/oM8dOl1VVQU1y7O59O2utknlHQ1UJnZn51U5SK5Ott9ZG13xuMoL\nY1LwwPIqv61LEtfr6+sHfoKL7u3t6cCfXxyD9ub1GLHXA4hNPd7pLVF5NupbDCsLbUu/eQsC\nVX3TXY87i8vwak0tDpaNYO/KSHNYM1UFuafLF2u3PvThnKRZuGrUBWiWvZY88ajprsNXDT9o\nS/H+aPlLqv6pun9Apn+atgzvoPB9kS0zUcM5VKJ9UFAQ1L5/LH6yrWBMTIy2rce2jxj7HpWD\npL7nOOszjveibpg/7YH1XB/07u2838Wrfxvq3wgPCuyqgPPetTtpaWxs7E6eMbSHWeZzaF58\ntv4ENuYjPablI+X+fh2Cw8czH0l/w+ywHn1W36gFRyky039zquNmPqq6a3Bd3gI85V0wAABA\nAElEQVT80foXor0jMT/jWkyJ3ANmKYLgqUe0TyROij1WuzVYm/B144/4Ugo8LG35E0+WL9Ru\nKb6JG2eWpMjDmMARntpVtpsC2wio4MgiwZEt1gu9o1yaybFN23gHBQYr4DYB0mAbzOdRgAKD\nF9icj7Ru6eVYveQ8TDroPbfaH2nwPeEznSlQJPmbc4tK4Cubbt6TmYrATZtM2rsN3zT8hFsK\n7pElfC3YN3Qv3JpxteQ49d8bz97XdPb5wr1DMSP6CO3W0tOKbxuXaEvxfmr6Dc9Xvqrd4n1i\noIo7TJeZpQlBY5xSBMPZDryeMQS8F0pw9JkER3Fe6LrOFwhngGSMkddfLxkg6W9M2SMK9BNQ\n+UhNNb+gsuA1bPjzRoyYfHe/x/kFBf4u0CFVP6/IK0K7/Dk3LRnZkhtq76Pb1o0HSp7GK9Xv\nSPEHC65MPg+nxM2w92Xc7nzBliAcFXWwdlMb3n7f+IsWLH3ftBSLq97SblHeERIs7a3NLu0e\nPN6jZ9LcbgDYIIcKeL8kwdHnm4Kj62Wj8jCp7MKDAh4qwADJQweOzabAUAQyJ92K5vplWtGG\nsOgpiE3T/4fRofjwuf8TWFBcijyZQTpe9jo6JjLifw/Y6W9FnaW4esPtWN+RB7XM7M7MGzAy\nMMtOZ/ec0wSY/XFo5AHarUsCxp+aftVylr5r/BmvV7+v3dRs2oFhEixF7Is9Zc8lbxN/ZHvO\nCBuopZJn6v2iFZYvJTiKVzNHDI4MNPq67Sq/2+p2aNkxCvxPwGzxw+gpko/0xdHQ8pEiVD6S\n8T6U/k+EfxtI4K3aOrxf1yCbsvphTnLiQE/Zpfver/0c84seQqetE0dGTsd1qRdDBQpGP3xl\nf6cDZdZI3aw2K35p/lObWfqm8Se8XfuxdgsyB2L/sCk4KuEQHO5/kNHJ2H93EVDB0QsSHH0l\nwVHCpuAolDNH7jI8bMfwBdymit3wu2DfVzqrwot9W+34s7GK3faN3bWK3UAtrip6G+t+uVSC\noxxMmv6+w/ORWMVuoFHYeJ+7VbFb196B09bmyn5DXnh5VA6SpTiDvQ61nGxe0YP4qO5L+Jv8\ntMBILTXb3uEtG9KqalQNDQ3be4oh7lfV/dT+Sqp0+FcNP6LWurFSplqqd0vmFZgWso8hHIbS\nSVaxG1jLIVXsVHD0vARHX7tPcMQqdgOPP+8dugCz54ZuxldQwGMFVKnvuPR/a6W/N/xxg8f2\ngw23r0CL7HN0ZX4huuUDz9zUFLsGR6vb1mPmqvO04EhtqPrKmMe1HBz79kCfZ1OV/PYMmYRr\nZabt0wmv4PmR92N20kno6evBFevm4r7iJ6GCKB4UcLqACo6ek5wjFRwlcebI6f68oMMFGCA5\nnJgXoIB7CWROmouA0BGoKnxDbv91r8axNS4RuKmwGKVd3ZgVGy0FAkLt1obFlf/F6WsuQXFX\nGWbGHIeFox6G2lyVx9AFTF4mTAweixtyLsOH+yxGkm88Fla9iXPXzUG9tXHoJ+QrKDBcARUc\nPSvB0TeyEawKjq6VnCMuqxuuJl/npgIMkNx0YNgsCjhKYGM+0uMwWQIkH+l6mU3KddSleF4P\nEHipqhrfyIasEwIDcHFivF1arPb+uWj9Dbin5AkEmvzxQNatuDr1Aiky4G2X8xv9JKPlFxyv\nT3wae4dOxm8ty3Hy6vOxsnWd0VnYf2cI2CQ4ekaCo28lOEreNHMUwpwjZ9DzGs4VYIDkXG9e\njQJuIRAQkomc3RfAJrkhq386D709HW7RLjbCuQJ/trbiodIKhFvMuCsjTUpu7/oHnd+al+Ok\nVefgh6ZfoMpUvz72KewfPsW5HTPA1UItwXgo+3acHX8K1Ga7Z669DG/XfGyAnrOLLhNQwdHT\nEhx9J8FRyqaZo+Bd/57hsv7wwhTYgQADpB3g8CEK6FkgJvU4xGWcrM0gMR9JzyM9cN/qrVbM\nyS+CTR6en56KGJ9dm91RuTCPl72I/6y7CnXWBpyTMAtPjrhLzhs1cAN47y4LqGV35yfN1mbo\nVCW8Wwvvw60F90PtM8WDAnYV2Bwc/SDBUSqDI7va8mRuKcAAyS2HhY2igHMEsibdjMDQkZKL\n9KZsJPumcy7Kq7hcwCY5BNcWFKPG2oNzE2Lxj5DgXWpTZVc1zl57JZ4qX4Ro70g8NfJunJt4\nGjc53SXVwb9YzdAtGv0IMvxSpST4RzKbdLk2qzT4M/CZFNiBgAqOnpSZo83B0TWScxTEmaMd\niPEhHQgwQNLBILILFBiugMnsh1FTN+YjbfjjerQ1rR/uqfg6DxJ4oqIKS1taMVUCo7PjYnep\n5V83/CRL6s7Fn60rtX16Xhv7pLa0bpdOyhcPWUAVv1g0+mEcHL4/VrWt0yoHquWOPCiwSwIq\nOHpCgqOfZOYozbSxIAODo10i5Ys9Q4ABkmeME1tJAYcJBARnSD7SHZKP1Ik1S85nPpLDpN3j\nxD82NeNpCZBiZa+heekp8Bpm3pFaxnVH0SO4fMPN6JCNX69KOR8PZN+KMEuIe3TUgK3wl013\n78q6AZcl/wdNPS04Z93VWCSVBHlQYFgCKjh6XIKjJRIcpUtwdI3sjRbImaNhWfJFHifAAMnj\nhowNpoD9BWJSj0X8lnyk6+1/AZ7RLQQqu7txvSyts8hnnLszUyWYsQyrXYUdJZi1+iK8Vv0u\nUnwTsXD0Qzg59vhhnYsvsr/AaXEn4okRd0IVcrhXKgnOybsdHVKQhQcFBi3QK8HRYxIc/SzB\nUQaDo0G78Ym6EWCApJuhZEcosGsCmVo+0ihtb6TKgtd37WR8tdsJWCXv6CopytAkm8JelpSA\ncYGBw2rje7WfYqaUlV7fkY+jIqdrG7+OCMga1rn4IscJTA6ZiJdHP4YxgTn4rP5bzFpzMYo6\nSx13QZ5ZPwISHPmo4OgXCY4yJTiaIzNHAZw50s8AsyeDEWCANBglPocCBhBQ+UijJR/JbAnE\nhj9uZD6Szsb89qISrGxrlxyVUJwcEz3k3rX1tuO6vAW4ueAeqI9Kt6fPwW0ZcxAgy7p4uKdA\nnG8Mnht5P46POhx5HYU4dfWF+LZhiXs2lq1yDwEVHD3aDfNSBkfuMSBshasEGCC5Sp7XpYAb\nCvgHpyN7jzu1fKSN+yO1u2Er2aShCjxVUYn36howwt8ft6QmD/XlWN22Xkv6/7j+K4yU2aJX\nxjyOI6OmD/k8fIHzBXyk/PdN6ZfjxrRL0SV5Y5duuAlPlL0EW58q8M6DAn8T6JHg6BEJjn7t\nRW/2ppkjf84c/U2IfzWQAAMkAw02u0qBwQjEpByN+MxT0NGyAbm/Mx9pMGbu/JyP6hvweHkV\nYqQow0NZ6TLjYx50c/tkWZ5K8j99zSUo6SqXPKMZeGnUQ1AV03h4lsCM6CNlNuk+eR9E4cny\nhbgk90a09LR6VifYWscJbA6OftsYHHVfJcvqGBw5zptndnsBBkhuP0RsIAWcL5A5UfZHChuN\n6qK3UJn/mvMbwCvaReAPKeV9S2EJAkwmPCzB0VA2g22wNuHi3Bu0JP8gcwAezL5NKtWdB2/T\nrm0oa5eO8STDEhgbNFKb/dsjeAJ+aFqKk1UuWXv+sM7FF+lIQAVHD8vM0e8SHOWY0H01gyMd\njS67MkwBBkjDhOPLKKBnAZPZF6OnqHykIGz4U+UjrdNzd3XZt6LOLlyeV4hemQW6KyMVOQGD\nzxX6tXmZ7G10jvYhevfg8XhtzJPYL+wfunQyWqcivMO0CnezYv+J0q4KmR28GB/VfWU0BvZ3\ns4AKjh6S4OgPCY5GSHCkZo78uKxuMw//NK4AAyTjjj17ToEdCvgHpyFHy0fqAvORdkjldg82\n9vTgog35WsW6a1OSsHfo4PYm6u3rxaOlz2v759RZG3Buwml4asTdMvMU5XZ9ZIOGL2D2MuPy\nlHNwR4ZaQuuF6/MX4O7ix9Ej48/DQAIqOHqwC+Y/JTgaKcHRlQyODDT67OpOBBgg7QSID1PA\nyALRKUdJPtKpko+UJ5vIXiCbyHYamcMj+t5ts0kifoHkDHVjdmw0/hkdOah2V3ZV46y1V+CZ\nipe1gOjpkffgnMRZMHnxx8SgAD3wSYdGHoCFklOm9rJ6ueotnLP2KqjAmIcBBKwSHD0gwdEy\nG3pHMTgywIizi0MU4E++IYLx6RQwmkDmxJsQGj0F9RVf4a9vT0FPd5PRCDymv6qowk2Sc7Rc\nynkfFBaKixPjB9X2rxp+wL9kSd3y1lU4IGyKLKl7ArsFjxvUa/kkzxbICkjHotGPakso/2j9\nS6tWuKJ1tWd3iq3fscDm4Gi5BEejJTi6QmaOfLmsbsdofNRoAgyQjDbi7C8Fhiig8pHG7fci\nIhMPRXPdb1j29Yno6qga4ln4dGcIPFJeiU8bGjE2MED2KUqBl9eOP/Soss8Lih7GFRvmotPW\nhTkpF+D+7FsRahnckjxn9InXcLxAsOx99kDWrdqSylprvTaT+Gb1B46/MK/gdIG+bpk5ul9m\njlZIcDSGwZHTB4AX9BgBBkgeM1RsKAVcJ7C5aENcxky0S8GGZV/OkGV3Ba5rEK+8jcDbtXV4\nrrIaCT4+eDAzDX5SuW5HR0FHMWbJxqGvV7+nle1eOPph/Dv2uB29hI/pWEAF02pJpapW6G/y\nw7yiB7VNgVUQzUMfAn3dNtjmN8L8lwRHYyU4ulxmjnx2/EsUffScvaDA0AV2/BN06OfjKyhA\nAZ0KeJnMUrThDiSPPB9d7aVY9tUMtNT/pdPeela3fm5ukQ+0pQgym/BIdjoiZM+jHR3v1Hyi\nlXjO7SjA0ZGH4JXRj2FEQOaOXsLHDCKwb9heeFneD9n+6Xiv9lOcseZSVEh+Gg8PF5CZo7Yb\nKoHlVvSOk+DoMgZHHj6ibL6DBRggORiYp6eA3gTSx8+B2ifJ2lWPFd+chIaqH/TWRY/qT15H\nJ67KL5TldMD9melI9/Pbbvtbe9twbd58zC28Fyb5b17GNbg14yr4mwdfAny7J+cDuhFI8ovH\ni1K84fCIaVjTnivB9Hn4uekP3fTPcB3p6oPpjjb0/NEBTPJhcGS4NwA7PBwBBkjDUeNrKGBw\ngcScMzFyr4dg6+3Cyu9no6bkQ4OLuKb7tVarVs67tdeGm1KTsUdw0IANsdp6ZK+bL/HvVefi\nk/qvMSogW9sw9IjIgwZ8Pu+kgL/ZD/Mzr8WVyeehpacVF6y/Fs9XvEoYTxOQ4Mjn3i54reqB\nZc8AmK4NBby5rM7ThpHtdb6AxfmX5BUpQAE9CMSkHguLbxhW/3iOVgLc2lWHhKzT9NA1j+hD\nh5TzvkTKeVd0W3FufKwslYvYpt1NPc14u+ZjKeH8NmqsdbLjjRdOjT0BFyedBW/TjpfhbXMy\n3mFIgVPiZmBkYBau3nAbHip9Fqva1uHW9KsRwFlH938/dG4MjsxrbeibZEHgLXFo7WoFuty/\n6WwhBVwtwADJ1SPA61PAgwUi4vbH+ANelVmk07Hhjxu1ZXepYy714B55RtNtUs77uvwirG7v\nwBERYTgnIa5fw4s6S/FK1Tt4V3JIOm2dUrDBV/ZDOgqnxp2gFWTo92R+QYGdCOwePF6bcbxq\nw634UkrC50uBj/uybkGaf/JOXsmHXSaggqN7pFrdOinIMMkMXBkIL1WQgcGRy4aEF/YsAQZI\nnjVebC0F3E4gJHIiJk77r+yRdCqKVt2P7s4aZO12m+TEcAWvowbr3tJyfNPUjN2CAnGLLK3b\nfPzesgKLKt/Et40/o0/+i/aOxFnxM3FizFEs3b0ZiX8OSyDGJwrPjLwXdxU/hjdrPsCpUgHx\ntoyrcWD43sM6H1/kQAEVHN0twdF6CY52M6P7Ih/4WLiszoHiPLUOBRgg6XBQ2SUKOFsgICQL\nEw96G399NwsVeYtkJqlBcpQekGYEOrspur/eq9W1eFluqb6+uC8zTfprk/yir/FS5RtY156n\n9V9VpDtFltIdFnGgLKXjt3ndvymc1EG1LPP6tEswLmgk5hU+iMs33CIB+Mk4P/F0mPgLESeN\nwk4u07EpOMqV4Gh3CY4u9AEYHO0EjQ9TYFsB/uTc1oT3UIACwxDwDYjHhAPf1Io21JZ+iJXd\njZh8yCKYLQMXDhjGJQz/ku8am3B3SRnCLGbMT4/Gf2vexKuylE7lF6lj39C9MCvun5gcMtHw\nVgRwnMAxUYciS8qAXykbDD9b8TJWt63HAinowA2GHWc+qDP/PTjaQ4KjCxgcDcqNT6LAAAJc\nAzMACu+iAAWGJ+AtRRvGH/AKwuMOQGP1j/jl4+NkyV3t8E7GV/UTWNPejjkFxTDLSpndAn/D\nWWtPx8OSNN/S24oTo4/GO+Oex0M5tzM46qfGLxwlMDowBy+PeRx7hUzCkubfMHPV+VjbtsFR\nl+N5dyaggqO7ZFmdmjmazJmjnXHxcQrsTIAB0s6E+DgFKDAkAbPFH2P3eRYxqcejuW45fv7w\nSHS2lQzpHHxyf4HK7m6ctz5XCi70wtq7EF81LEawOQgXJp6JTye8guvSLmbxhf5k/MoJAmGW\nEDyaswCz406SaopVmL3mEnxQ+7kTrsxL9BNo74PvnRIcbZDgaM9NM0fqNyk8KECBYQtwid2w\n6fhCClBgewJekvcyYs/7ERAYi8LVT2DZlzMwbr+FCAwbub2X8P4BBNT+Re/Xfos7S73Q3Rcp\n6UYfYmRAm5TqnoNDIg5gftEAZrzLuQJmLzMuSf4/jAkcgZsL7saNBXdhpZQCvyL5XL4/nTEU\nm4IjU74NPXuZYT1PltUxOHKGPK+hcwEGSDofYHaPAq4S8PLywqi9boe3XyRy/5iHZV+fKDNL\nzyE0erKrmuQx11X7F71Z/aGU6n4Xdb0zAK8RiPMuwG1pR2GPkAke0w821DgC0yP2RYZ/ila4\n4bXqd7G2fQPuzrwR0T4S2PNwjEDbxpkjU4EER//YFByZOHPkGGye1WgCXGJntBFnfyngZIHM\n8ZciZ4+70NvTKlXuTkFd+RdOboHnXK6wowTzCx/CYctPxiNlz6HRNl0LjiYGeuP9cccyOPKc\noTRkSzP8U7F49KM4MGxvLG9dhZNXn49lLSsNaeHwTqvg6I4uaMHRFAZHDvfmBQwnwADJcEPO\nDlPA+QJxGSdhzNSnIPubYtWPZ6Oy4HXnN8KNr/hr8zJcknsjjl95Jt6oeR8h5mBMDb0avZgs\n1cL88HD2CKnUy98Mu/EQsmmbBALNAbg362YtP67O2oCz112pVVokkB0FWiU4WtAJU6HMHE2V\n4OhcWVbHmSM7AvNUFJDq+ESgAAUo4AyByMSDMX7/RVj5w5lY/+tVsldSPZJHnuuMS7vlNbpt\nVrxT8jEeWfss1nfka20cFZCNU+NOgAkTcW1hKaK8LXg4Kx1BZrNb9oGNosBAAmp57VkJMzE6\nMBvX5M3HncWPanlJN6RdCj+T70Av4X2DFVDB0R0SHBX1oWcfCY7OZnA0WDo+jwJDEWCANBQt\nPpcCFNglgdDoPWWvpDew8rvTULBigZQAr0HGhBugPlAZ5WjU8os+wBsr3kd1Vy285L8DwqZI\nYPRP7B48Hita23D2+jz5IGnCg5npiPORD0A8KOCBAlNC98ArYx7T8pI+rPsCue0FuC/7ZiT6\nxntgb9ygyS2bgqNiBkduMBpsgs4FGCDpfIDZPQq4m0BQ2ChMmPZfyUc6FWXrn9FmkkZMvhuq\n8p2ej4KOYrxc9bZUpfsMXX3dCDD748z0mTgu6DAk+yVoXS/t6sKleQWwylrE+zNS5TfwAXom\nYd8MIJDgG4cXRj2IeYUP4AMJkk5edYG2qezUUBZrGdLwq+BILasrkeBoP5k5OoszR0Py45Mp\nMEQBfX8iGSIGn04BCjhHwD8oBROnvSUzSaejuugtCZIaMHrq41B7KOntWNr8JxZW/hc/NP2i\ndS3GOwozY4/D/42YhejASFRUVGj3N/f04MLcAjT09OKq5ATsHxaqNwr2x6ACalndbRlzMDZw\nJO4peRwXrr8e5yfOxlnxMw01ezzs4W/eFByVSnC0/6bgyECz7sN24wspsAsCDJB2AY8vpQAF\nhi/g4xeF8Qe+htVStKGh8mus+PZkjN33BXj7eH5gYJX8oo/rv8aiyjeR21GgIY0OyMEpkl90\nSMT+UnDBjFDv4C14VpsNl+cVokhmkE6OiZJb9JbH+BcK6EXgpNhjMSIgC1fl3YpHy57HKtkv\n6baMqyXHLlAvXbR/P5o2LatTwdEBEhydKTNHDI7s78wzUmArAVax2wqEX1KAAs4TsHgHaUFR\nVNIRaKn7A8u/OgFd7ZXOa4Cdr9RgbcLT5Ytx+PJTtE0zN3QUaiWPnx15HxaPeRRHRE7TgqOt\nLzu3qBS/S+7R/qEhuCJp43K7rZ/DrymgB4GJwWMkL+lxTAwai28af8Kpqy9EfkeRHrpm/z6o\n4Egtq1PB0YEWBkf2F+YZKbBdAQZI26XhAxSggDMETGZfjJryKOIzT0F7cy6WfXW8/JnnjEvb\n7RrqA97tkmNxuOxf9FjZC2i3deDfMcfivXEvSlL6LdgteNx2r/VEeSU+rG/AqAB/LEhPkWq9\nxilYsV0UPqBrgSjvCDw14m7t30hRZ6kWJH1e/52u+zzkzqngaL4ER2USHE2T4OgMb84cDRmR\nL6DA8AW4xG74dnwlBShgJwEvLxOyd58Pb99IFK9+SIKkEzBuvxcRHDHBTldwzGl+bvoDi6tU\nftFS7QKxPtGYGXMcZkQfiWDLzpcNvVFahicrqqRSnTcelHLe/izn7ZiB4lndTsBbirLMSb1Q\ny0u6rfB+XJ13G05v+xcuSjoTZlmCauijcVNwVCHB0UESHJ3O4MjQ7wd23iUCDJBcws6LUoAC\nAwmkjb1CgqQo5P15M5Z/828p3PAkIuL2G+ipLruv29aNTyS/SBVe2LApv2hM4AicGnsCpkfs\nN+ASuoEau0RmjS5fvhKBUs5b7XUU7S0fgnhQwGACR0ZNR1ZAGi7PnYsXK1/HmrZc3JF5PcK9\nPT8XcVhDqYKjeTJzVCnB0cESHJ3GMv/DcuSLKLCLAgyQdhGQL6cABewrkJh9ugRJEVi39DKs\n+v4MjNjrfsSkHGPfiwzjbCq/6I2a9/Fa1buo72nU9i+aFr4PZklgNDF47JDOWNDZif+sy4NN\nXnV3Zhqy/PVXvW9IIHyyoQVU4Qa1X9K1sqnsT82/4eTV5+PerJulzH2OsVwabLKsrmtjcHSI\nBEezGBwZ6w3A3rqTAAMkdxoNtoUCFNAEYlKOliApHKukwt3any+SMuB1SMw+wyU6Kr9oUeVb\n+LDuc3T3WRFg8sfJscdrt+FseFlv7cFFUs67Scp63zt+DKZ489uwSwaWF3UrgRBLMB7OmSc5\nfC/i2YqXMXvNpbgi+RyoyneGOOo3BUdVMnN0qARHpzI4MsS4s5NuK8CfzG47NGwYBYwtEB67\nDyYc8BpWfn+6LLm7RdtQVi3Bc9axpOl3rUy3+o22OuJ8YrT9i46POmJQ+UUDtbNLynmrjWDL\nurtxQfr/s3cd8FEV2/vblk3vvSeE3ptIFcECAhZEffbey7P8FSv6VOy9F1Cfos+uCBYQEZUi\nCNI7JKSH9J7t+z9nko1h2UDK7mY3meF3uX3uzDfZ3fvNOec7Kbg4Oak5D5Kj6+UxiUBPQkBJ\nsYi3JF5JcUl9MS/rWTyV8xrWVP2F/6Td3b1d7lqQI+M0NUwXS3LUk/7uZV89EwFJkDxzXGSr\nJAISAUIgKHwIhk75Ctt/u0SINxh0pSTmMJ/SgLhGgJPji34oW4lFJLxwkCS6uXByS44vmho+\nsc3xReJGu/+sVisezMrB9rp6nBoWgnsy0u2ukLsSAYkAIzA5bBw+938b92c+iT8owfIFO68X\n+ZLGBI/odgApyizwYbe6YiuMZxA5ulCSo243yLJDXomAJEheOWyy0RKBnoOAf1A6hk39RpCk\nosxPhCWp/4mvgOXBnVVqzXX45PA3+JTiiyoovkhJ/6ZSfNElMXMovmigUx7zUn4hVlRWYWiA\nPx5LTSaSJ+W8nQKsrKRbIhCrjca7/Z7DgoJP8E7BIty4915cEXsBbkygGEVSwOsORVHaRI5K\niBzNIHL0L0mOusO4yj50DwS6x7dM9xgL2QuJgESgFQS0fjFkSfqSRBuuQln+T9j++2UYOGEB\n1JqgVu5o22E9WYw+L/4OC+klrMpc0xRfNBsXU4xRvDa2bZW04aqvSsrw4eESJGp98CIp1mlJ\nuU4WiYBE4NgIsNz39QmXYkzwcGFNer/oU2yo2Yyn0h9Aom/csW/28LNHkKOZRI4ukOTIw4dM\nNq+HISB/pXvYgMvuSgS8FQGNTwgGn/QxwuOmoqrkT2z99QIYdCUd6o7JasbXJT9g1rbL8ELu\n2zBaTbgu/hIsG/Y/3J18o1PJ0dqqajyZk4dgynH0GpGjMLWcl+rQoMmbeiwCrBL52cC3yTV1\nEnbW7RUud+wK67XFbIXPi+RWx5ajWZIcee04yoZ3awQkQerWwys7JxHoXgio1L4YOP4dxKSe\ni7rKndjyy2w01Oa0uZMcB7SsbBVmb78KnJyyylRNanSzsXTIR8J1J1AV0Oa62nLhvvoG3J2Z\nLdzpXuiVihRf37bcJq+RCEgE7BAIUgfimYyH8FDqHSSPb8EDFJ/0YObTqDPX213p+bvqJSYo\nc0itboIKpvOl5cjzR0y2sCciIKcye+Koyz5LBLwYAQXFH/QZ/TzUPuHI3/cutqycjcGTPkR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SyNJsRCXPgobc9WSRCEgEuhcCKb6J+G//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\nAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Get the six largest tags\n",
    "highest_tags <- head(sorted_tags$tag)\n",
    "\n",
    "# Filter for the six largest tags\n",
    "by_tag_subset <- by_tag_year_fraction %>%\n",
    "  filter(tag %in% highest_tags)\n",
    "\n",
    "# Plot tags over time on a line plot using color to represent tag\n",
    "ggplot(by_tag_subset, aes(x = year, y = fraction, color = tag)) +\n",
    "  geom_line()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "dc": {
     "key": "53"
    },
    "deletable": false,
    "editable": false,
    "run_control": {
     "frozen": true
    },
    "tags": [
     "context"
    ]
   },
   "source": [
    "## 8. Some more tags!\n",
    "<p>Wow, based on that graph we've seen a lot of changes in what programming languages are most asked about. C# gets fewer questions than it used to, and Python has grown quite impressively.</p>\n",
    "<p>This Stack Overflow data is incredibly versatile. We can analyze <em>any</em> programming language, web framework, or tool where we'd like to see their change over time. Combined with the reproducibility of R and its libraries, we have ourselves a powerful method of uncovering insights about technology.</p>\n",
    "<p>To demonstrate its versatility, let's check out how three big mobile operating systems (Android, iOS, and Windows Phone) have compared in popularity over time. But remember: this code can be modified simply by changing the tag names!</p>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "dc": {
     "key": "53"
    },
    "tags": [
     "sample_code"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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8YigECpChAglWrP0i4EciAQamxU4vprFV6xQrGDD1V8191yUCpFIOBfATui5Gy3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GJBy4Z7RIi7YfrDp98b1pHpkZIP2h4fTk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\nECBll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      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Get tags of interest\n",
    "my_tags <- c(\"android\", \"ios\", \"windows-phone\")\n",
    "\n",
    "# Filter for those tags\n",
    "by_tag_subset <- by_tag_year_fraction %>%\n",
    "  filter(tag %in% my_tags)\n",
    "\n",
    "# Plot tags over time on a line plot using color to represent tag\n",
    "ggplot(by_tag_subset, aes(x = year, y = fraction, color = tag)) + \n",
    "  geom_line()"
   ]
  }
 ],
 "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": "4.2.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}