HW4_CISC5500.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 230,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "data = read.csv(\"yob2016.txt\", header = FALSE, sep=\",\")#, as.is = FALSE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 231,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "colnames( data ) <- c('Names', 'Sex', 'Birth')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 232,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# sort the data in descending order\n",
    "sorted_data <- data[order(-data$Birth),]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 233,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# select top 10 most popular names\n",
    "first_10 <- head(sorted_data, n=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 234,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th></th><th scope=col>Names</th><th scope=col>Sex</th><th scope=col>Birth</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>1</th><td>Emma    </td><td>F       </td><td>19414   </td></tr>\n",
       "\t<tr><th scope=row>2</th><td>Olivia  </td><td>F       </td><td>19246   </td></tr>\n",
       "\t<tr><th scope=row>18758</th><td>Noah    </td><td>M       </td><td>19015   </td></tr>\n",
       "\t<tr><th scope=row>18759</th><td>Liam    </td><td>M       </td><td>18138   </td></tr>\n",
       "\t<tr><th scope=row>3</th><td>Ava     </td><td>F       </td><td>16237   </td></tr>\n",
       "\t<tr><th scope=row>4</th><td>Sophia  </td><td>F       </td><td>16070   </td></tr>\n",
       "\t<tr><th scope=row>18760</th><td>William </td><td>M       </td><td>15668   </td></tr>\n",
       "\t<tr><th scope=row>18761</th><td>Mason   </td><td>M       </td><td>15192   </td></tr>\n",
       "\t<tr><th scope=row>18762</th><td>James   </td><td>M       </td><td>14776   </td></tr>\n",
       "\t<tr><th scope=row>5</th><td>Isabella</td><td>F       </td><td>14722   </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|lll}\n",
       "  & Names & Sex & Birth\\\\\n",
       "\\hline\n",
       "\t1 & Emma     & F        & 19414   \\\\\n",
       "\t2 & Olivia   & F        & 19246   \\\\\n",
       "\t18758 & Noah     & M        & 19015   \\\\\n",
       "\t18759 & Liam     & M        & 18138   \\\\\n",
       "\t3 & Ava      & F        & 16237   \\\\\n",
       "\t4 & Sophia   & F        & 16070   \\\\\n",
       "\t18760 & William  & M        & 15668   \\\\\n",
       "\t18761 & Mason    & M        & 15192   \\\\\n",
       "\t18762 & James    & M        & 14776   \\\\\n",
       "\t5 & Isabella & F        & 14722   \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "| <!--/--> | Names | Sex | Birth | \n",
       "|---|---|---|---|---|---|---|---|---|---|\n",
       "| 1 | Emma     | F        | 19414    | \n",
       "| 2 | Olivia   | F        | 19246    | \n",
       "| 18758 | Noah     | M        | 19015    | \n",
       "| 18759 | Liam     | M        | 18138    | \n",
       "| 3 | Ava      | F        | 16237    | \n",
       "| 4 | Sophia   | F        | 16070    | \n",
       "| 18760 | William  | M        | 15668    | \n",
       "| 18761 | Mason    | M        | 15192    | \n",
       "| 18762 | James    | M        | 14776    | \n",
       "| 5 | Isabella | F        | 14722    | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "      Names    Sex Birth\n",
       "1     Emma     F   19414\n",
       "2     Olivia   F   19246\n",
       "18758 Noah     M   19015\n",
       "18759 Liam     M   18138\n",
       "3     Ava      F   16237\n",
       "4     Sophia   F   16070\n",
       "18760 William  M   15668\n",
       "18761 Mason    M   15192\n",
       "18762 James    M   14776\n",
       "5     Isabella F   14722"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "first_10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 235,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#import the colorspace library\n",
    "library(\"colorspace\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot a bar chart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 236,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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NzrWesrnihqs9q492fpGy\nVZaDOEnzfIw/UQYr/of7YsUNlcsfMvVDJ9ZRNlb2V/ZSQnk9zzs3zEgNN9T05YqvuoWM0ziF\nAAIIIIBAuwpMfm7alzoANzGl1czun5Xwgiu0rm+/75+8ZjMNfYfJPck0g3YS8Bs7CgEE5gjk\ne2jFvlrFP0kaqTyZihuqQvW6VthBOVn5ULle8RWbq5X2qn7a8XOKf9p1f5aD8JUfN4Q3K5OV\n3ytbK2srCyr7KQcrLyq+QnSG8ksl1CUacePoBixd3TVjoOJl3n7IJI1TCCCAAAIItK+AHtmt\nzxW9UMpB6AlQHz353Gtvl/Ca+7Tum8qOyWt8e52bptnJNIN2EujSTvtlt+0i0Lyadjusyrt+\nQxccfC9trZUvYacr30Mr3Mw4xdYftKIT142a8JUoP83O/4CW/pMpvagNy1d4Rihu0tJfIzd9\nvRQ/dS+U/xH/RBmi6P+Bls+tPa1hqEc0MipMaHiT8gvFV6E2VeJaWRMzlXmVk5TpyhiFBkkI\nFAIIIIBADQhkmsfo2Qt/0JPsfAdF3tLvSPpSn1m6sMjfhRS25f9L/6XspPgOFv8QciOFamcB\nGqR2/gJUefe/7tl9xq4L9vq0Kh/8+/zL7p3e/3Tur2Y1f+fNd5VPu+TdTSv5FaW9YHJpq1ds\n7fe05XRjFHb2uUZeU/xTrduSmT/U0E2Tb8sboExR4nKD2UPx8o8VX0FyuRFLl5t1r3u08pji\nn5odrAxVnlUoBBBAAAEE2lXgow+azp5v/pYnzfkHm13zHIx/4PlZ8xezTsyzTq5FvmLk///8\nA8V3lfgHk5qk2kOABqk91Ntvn5lNBr7a5c/b3VmVr/sdE/o3HXjl5rOy/tah9jNgz8UL/Far\n+h/uFZVXFDcvvp3OjZF/mub/EOIKtwT4J2KF6l6t4FsOffXKdbgyQfEteZ5PIYAAAggg0K4C\nE/faa3qff5+/WaZ7p/H6j62vftrXPX1Amj9D86fPnpnZ/Mmd9n4/vbyI6Ye1ziTleOUvRazP\nKlUQ6FSFfbALBBCoTwFfXXJTNF7xVZ4NFDdFbpbeUvoqcXnaV5GmxjNzjLvRCs1RWMVP8/Hn\nkigEEEAAAQRqQuCJH+/1kq4MDWpqbr5YB+Rbw/3/oG4Lz8zUZ5RmZ5qab2qe8dWqT263h28z\nL6f8Q8UrlbmVy8rZAK9pe4GqXElo+8NmiwggUAWBLbWPl5Ujkn0tquFySnjseU+ND1BeU1yr\nKmG8ZUaeP/bXMt+ycEy0zkoadzNGIYAAAgggUDMCj8+5MrTv8teNGdmjU+ehnWdnFmzONE/5\nYmbmkQnb75G+3bzQcfv/0ExqpcM07cTF3RSxRpXHaZCqDM7uakmgea/uXWb+rJpHNGt2p2dm\nzu7se43rodbQQfpYt1b8E7NTlQuUiYrrFsUNzj7KAsqBSrH3Xz+mdc9S7lB8u52bsc2V4QqF\nAAIIIIBAzQm8sM0+n+igbqu5A+OA2lyABqnNSdlgvQh0zsz60VILfLTxD5Z+oyqH/Mr78zXd\n+8qSfgJcvTRIfuz5asrrij9f5Ks7v1ZCHaQR34b3gTJD8eeVLlSKqUe10u+Vvyu+MtVZ+Z0y\nTqEQQAABBBBAAIF2E6BBajd6dlwLAoMXf6fpd5s8WJVDufGZZdwgVWVfZexk+yyv8eeJtlV6\nK26AdM/1t+pVTQ1WFlZ8i0GupyP6nups91WfovmOG6R3FDdhFAIIIIAAAggg0K4CNEjtys/O\nEagLgWkFjtLNTWvKD3ygEEAAAQQQQACBmhDgKXY18WXgIBBAAAEEEEAAAQQQQKAWBGiQauGr\nwDEggAACCCCAAAIIIIBATQhwi11NfBk4CARqQaDZT6JbqspH8raedlqdp2RU+cTYHQIIIIAA\nAgjUpwANUn1+3ThqBNpeoPOsfzTN6uyHMlStMp1nv9Y8q+pNWdXOjx0hgAACCCCAQP0J0CDV\n39eMI0agMgKZph79tny+abE9/CuKKl8fjluq6Y1/rNmj5TcsVX537AEBBBBAAAEEEChKgAap\nKCZWQqBjCGS6zG7q1MO/E7by5X1RCCCAAAIIIIBArQnwkIZa+4pwPAgggAACCCCAAAIIINBu\nAlxBajd6dowAAggggAACCCDQjgLLat9XtuP+22LXQ7SR6twb3xZHWyfboEGqky8Uh4kAAggg\ngAACCCDQZgK3aEtLttnW2m9Dt2rX/2m/3TfmnmmQGvPrylkhgAACCCCAAAII5BZ4UosOzL2Y\nJR1ZgM8gdeSvPueOAAIIIIAAAggggAAC3xKgQfoWBxMIIIBAi4CvrvfIY1Ho38659NrOOV6f\na35YvdC2w3oMEUAAAQQQQKACAvxHXAFUNokAAnUtkNHRX62ckOUsfqN5vi3jHeVs5XtKunxP\n+yRljdSCH2t6vPKZ8j9lTSWujTVxgzJNuUnZTKEQQAABBBBAoMoCNEhVBmd3CCBQ0wJ9dHQX\nKVtlOcqNNO8oZX9lFWVRJd1E+WlC/sBsPyWuxTRxgeKmysuuVe5UeimursrFyj3KIoo/cHuZ\nMrdCIYAAAggggEAVBWiQqojNrhBAoKYF3Lg8p7jxuT/Lke6sebcpDyvvKm52dlS6KS6PP6hc\n44lUDdL0OcoVyifK6co8yuqKa5jSVzlN8fKzFF/J2kKhEEAAAQQQQKCKAjRIVcRmVwggUNMC\nbkhGKL7V7b0sR+qm6YeKrx71VvZQHldmKC6/xleQjvZEqm7W9CHJvC4aej+fKn696wllpuKr\nU264fqb46lFYrlEKAQQQQAABBKoh4P+oKQQQQACBOQ3OVXkgfIucG6CnlK+U9xVfGQo1PhnJ\n9xCGwVrnLsW38m2pTFVc3pavFvm2u1MV33K3rfKKQiGAAAIIIIBAFQW4glRFbHaFAAJ1LXCk\njn5rxVeOfJXpEcWfN/KVnmJrolbcQDlWuVzZRHGtqfjBECcqayu+CvVPZT2FQgABBBBAAIEq\nCnAFqYrY7AoBBOpWwD9M8m1xo5QLFZefZve2sqnihy4UUx9pJcdXodwI7a3crrjp8m12bpxc\njym+WnWAcq9CIYAAAggggECVBLiCVCVodoMAAnUt4M8FLaC8FJ2FP0PkZmeJaF6u0V9qwR9T\nC/0whr7JvMU0fDm1/A1N+5HhFAIIIIAAAghUUYAGqYrY7AoBBOpWYLqO3E+w82O+eyndlV8r\nbpo8v1A9oBUOUdZR/DCIzZTtFD/VznWd4qfghafa+Za7XZXrFQoBBBBAAAEEqijALXZVxGZX\nCCBQ1wK+HW6sMkX5XPlC2UV5QSlUvn3uN8oYZWGlhzJaOU9xna/0V+5XfGWpj3Km4gc2UAgg\ngAACCCBQRQEapCpisysEEKgbge2zHOk7mjdc6a3Mq0xWmpV0zdIMXyVK1+ma4fiWPG/rKyUu\nf/7oBGVx5S3lS4VCAAEEEEAAgSoL0CBVGZzdIYBA3QtM0xk45ZY/W5Sr3DS9lmsh8xFAAAEE\nEECg8gJ8BqnyxuwBAQQQQAABBBBAAAEE6kSABqlOvlAcJgIIIIAAAggggAACCFRegAap8sbs\nAQEEEEAAAQQQQAABBOpEgM8g1ckXisNEAIFqCzT/SHv8QZX3+pSe73BZlffJ7hBAAAEEEEAg\nEqBBijAYRQABBIJApuus33btM33dbgtP81PpKl5fTenZacYHc7/RPKOJBqni2uwAAQQQQACB\n3AI0SLltWIIAAh1aoLlT3w1f6bLobk9U5d/J929ermnymO9nezx4h/4qcPIIIIAAAghUW4DP\nIFVbnP0hgAACCCCAAAIIIIBAzQrQINXsl4YDQwABBBBAAAEEEEAAgWoL0CBVW5z9IYAAAggg\ngAACCCCAQM0K0CDV7JeGA0MAAQQQQAABBBBAAIFqC9AgVVuc/SGAAAIIIIAAAggggEDNCtAg\n1eyXhgNDAAEEEEAAAQQQQACBagvQIFVbnP0hgAACCCCAAAIIIIBAzQrQINXsl4YDQwABBBBA\nAAEEEEAAgWoL0CBVW5z9IYAAAggggAACCCCAQM0K0CDV7JeGA0MAAQQQQAABBBBAAIFqC9Ag\nVVuc/SGAAAIIIIAAAggggEDNCtAg1eyXhgNDAAEEEEAAAQQQQACBagvQIFVbnP0hgAACCCCA\nAAIIIIBAzQrQINXsl4YDQwABBBBAAAEEEEAAgWoL0CBVW5z9IYAAAggggAACCCCAQM0K0CDV\n7JeGA0MAAQQQQAABBBBAAIFqC9AgVVuc/SGAAAIIIIAAAggggEDNCtAg1eyXhgNDAAEEEEAA\nAQQQQACBagvQIFVbnP0hgAACCCCAAAIIIIBAzQrQINXsl4YDQwABBBBAAAEEEEAAgWoL0CBV\nW5z9IYAAAggggAACCCCAQM0K0CDV7JeGA0MAAQQQQAABBBBAAIFqC9AgVVuc/SGAAAIIIIAA\nAggggEDNCtAg1eyXhgNDAAEEEEAAAQQQQACBagvQIFVbnP0hgAACCCCAAAIIIIBAzQrQINXs\nl4YDQwABBBBAAAEEEEAAgWoL0CBVW5z9IYAAAggggAACCCCAQM0K0CDV7JeGA0MAAQQQQAAB\nBBBAAIFqC9AgVVuc/SGAAAIIIIAAAggggEDNCtAg1eyXhgNDAAEEEEAAAQQQQACBagvQIFVb\nnP0hgAACCCCAAAIIIIBAzQrQINXsl4YDQwABBBBAAAEEEEAAgWoL0CBVW5z9IYAAAggggAAC\nCCCAQM0K0CDV7JeGA0MAAQQQQAABBBBAAIFqC9AgVVuc/SGAAAIIIIAAAggggEDNCtAg1eyX\nhgNDAAEEakagi46kR56j6ZxnWaH/Z/K9Ns9mWYQAAggggEBlBAr9x1WZvbJVBBBAAIF6Ecjo\nQK9WTshywD/TvFeVT5UblaFKqBU0cq7ytvKicpyygBLqxxoZr3ym/E9ZUwn1d41MzpLbwgoM\nEUAAAQQQqJQADVKlZNkuAgggUP8CfXQKFylbZTmVjTTvPOUgZWHlOeUfihsq15lKV2V1xc3Q\nForXdy2mXKCcrfRTrlXuVHoprnOU/aOM1Ph8ykMKhQACCCCAQEUFfNsEhQACCCCAQFrAjcuT\nygTl/vRCTf9OOUm5OVl2tIafKH5dT2VlZTflLcVXg05VzlfcQA1S3ARdobhOV45T3EyNUx5P\nokFLnaE/n1VGz5nkTwQQQAABBConQINUOVu2jAACCNSzgBuZEYpvr7sqy4n4drq/KOsrayjP\nKMcrrveUhVrGvvljiEbdLDUrbqpCY+X/h7yfTxU3RunaUDP2VgYrM9ML22nax+xMz7F/f65q\nVhnLcrzkW7PzbftbKzKBAAIIIFCeALfYlefGqxBAAIFGF3CT48bIDU26emmGs59yqbKJ4obH\nt9hlq5U00+uemFropud9xY3VLspUJV2+snS54s8x1UK5ccz2mSw/xOJvyoeKG0GP+xbFUL01\n4ito7yY5JizQsJjPXB2s9Z5Xpik3KH0VCgEEEECgAgI0SBVAZZMIIIBAgwv4zb5rAaW/srmy\nqbKv4itLcfm2OX++aKwyRolroiY2UI5V3AS50YproCbWU86KZ7bjeL7PZPlq2jqKr5T5mFdT\nRiqh/qyRJRWvs7Gyv7KX4vLthp4O8evmUx5SXD9Ufp9kUQ1nKBcrFAIIIIBABQR8iwCFAAII\nIIBAKQK+ujRbuUAJt73drfG3FDdEDyouNzy+2uLmINvnhz7SfOcpZW3Ft9LdroRyw+Um4bEw\nox2H+T6TtaCOy83O95WJiuuXylotY01NXr6fMkh5MZnnz1V5HV9VejyJBi3lZfFnro7UtK/O\nXdeytKnpMA1fUpZSXk3mMUAAAQQQaCMBriC1ESSbQQABBDqQwFc619eUcCXJpz6X4qsekzyh\n2ka5VjlUSTdHbgz+qMT1iSbSt41tq3mXxSu143hG+/ZnpXz1xw1iXIM14as6NtlR+ZXymeJb\n51xuZKYrT3siqUc09IMs0rWhZuyt7KqE5nMZjT+shHpFIx8qvnWRQgABBBBoYwEapDYGZXMI\nIIBABxE4Xef5G2WA0l3xVQ03BfcpCysXKr51zFeAVo3i/3ceUA5R1lHceGymbKdcoYTqoRFv\n21eXaqHcFOX6TNbiWjZFGa8crPhqkY97K8Xl8/DyuHzlzOfYJ56p8eOUy5VwpambxhdVPlDi\ncoNkZwoBBBBAoI0FuMWujUHZHAIIINBBBM7WefozNc8pvjriBuBHit/4H6X0VkYm0eDr6qWx\nJxQ3V/5Mkt/ku1EYrZynhBqoETdTz4QZNTz0ufZXTlP+qrj8kAbnBsVNziwlLt+i6GqeM2j5\n0+fszy+5yQrl/6ftkO318WvD+gwRQAABBFop4H90KQQQQAABBPIJbK+Fbmji8u1fnjevsqLi\n28B825jrBCWTI596BdXpygqKry65wfBr4nIT5W2kr5zE69TK+Ns6EDcwY6MDuljjiykLKv5s\nVl8lLk+7mZwazdxX4w8pj0XzPte418n2+onReowigAACCLSRAA1SG0GyGQQQQKCDCvizN24Q\nyq039EJ/pqmey7fDdVbmiU7CzZFvOfxQeUnpqQxQQrkx9GeW4tpWE5fFM5Jxb39QNN/bXkDh\nAQ0RCqMIIIBAWwnQILWVJNtBAAEEEOioAr7ic59yitJdcQNzoOLb63ylbaJyi3KM4v93fVXJ\ny31LXijfZugG6qkwIxr6Vr0DlEUUX1Xzdm5SaJCEQCGAAAJtLUCD1NaibA8BBBBAoCMK/FQn\n7cbItwT6io+vHvmWuVAHaWQ1xcvdBLlhulAJ5c8f+f/kZ8KMaOjb9W5X3BC9oyyr/EKhEEAA\nAQQqINClAttkkwgggAACDSfQ7CsX1f4/Q1dfMrX4IILts3x5faugH7Dgzwr5qtE0JS43N4MV\nP5TCD7T4SokrfOYqnhfGve7PlUMUX6HybXsUAggggECFBKr9n12FToPNIoAAAghUUqBL51k3\nzJzV2U+pq1ppn3fNnNXye4eqts822FGh5sVXgMotX5Vyaq38XsKZXuaB+fNb6af0hU3lW+Z1\nfNVtdliZIQIIINAWAjRIbaHINhBAAIEGF+jaafbCP15tQtN2gyZU5UxvembZpisfX3FhNUhU\nbQv4yuLVim8r9FMNQ22qkX+GiWT4kIY7JeM9NPyL8hPFV8i8jcOVjxXX8opf/33lBeVc5Swl\nlPe1m+LPZf1b+ZMySaEQQACBVgvQILWakA0ggAACHUNgkXk/aVp9ydZcACne6YnJCxW/Mmu2\nl0Af7fhMZSvFD6iIay1NTFZOiGbGV9fcHK2jDFH8e6IuUEYqxyq+jfAu5UrFVy3XVdwE3aM8\nrWykHKVspkxUzlG8HzdMFAIIINBqARqkVhOyAQQQQAABBDqcQD+d8ZOKLynen+Xs/UCKO5Wb\nsyzzU/z2Unx1aKLi+qXipsq1q+LfEeWrRL6G+B/l58p8imtn5TblYU+ozlauV/ZRZigUAggg\n0CoBGqRW8fFiBBBAAIGOKdC8is7bT5OrZqkZyTxXzR3m2ZdvrRuh+Na4q7Ks5wdSjFN8Vai/\ncqNyu+LyMjcy/j1QOyq+Te4W5e+Ky1eW3PwsqQxXPle8j08VlxsyX4Hy12CSsofyuEJzJAQK\nAQRaL0CD1HpDtoAAAggg0MEEunWZeVFTc6eV9CCJqjwg4KtZnTpnmpr/O2NW09AaoX5Px5Gt\nMfLhzasMUH6t/EsZqPgx54cppyiLK1OU8cp0pbdykuJmyb87ajElo/xXeUD5gXK0srbix6Rf\noPjWvKcUf37pfWWQQiGAAAJtIkCD1CaMbAQBBBBAoCMJdMo0dR250QNd9lnnyaqc9ln3rN70\n93tX75rzWW9VOYqid+Lb4n6m+KpQ+NzR8Ro/Ufmb4oaov3Ka8lfF5fmOGyQv9+13yyiTlLmV\nF5QjlEOUI5WtFV858lUoz7tVWU/x1SYKAQQQaJWAH49JIYAAAggggAACbSXgW+EuVUJz5O36\nIQvdlf7K24qbqLFKqIs14itHCypefqfi5sjlpudqZXXF71tGKH5q3YXKvYobJV+l2lShEEAA\ngVYL0CC1mpANIIAAAggggEAksLLGr1F6RfNW0rhvy/OVoBcV/36jeZRQbo4+U9xUeXlvJa5F\nNeGGqZuygPKSEsoN2UfKEmEGQwQQQKA1AjRIrdHjtQgggAACCCCQFnheM9wk+VY4NzS+uuPP\nI/kqkq8cPabcp/jzSL6q5OboQMW3181UfKudrxb5aXau9ZTNlWsVf2bpNuUoxQ2YX+9tu2ny\nfAoBBBBotQANUqsJ2QACCCCAAAIIRAJugvZV/LQ63y73tPKGcrgS6qcacWP0gfKi4qtHfo3r\ndWUH5WTFV5SuV05QrlZceytfKlOUdxU//GEXxVenKAQQQKDVAl1avQU2gAACCCCAAAIdWWD7\nLCc/XvOcvoqv+qQfnuCGyVeGvNxXjaYpcd2oiYWVxRU3WW66Qr2jkeGKb8ObV5msNCsUAggg\n0CYCNEhtwshGEEAAAQQQQCCLgK8A5atCy9385Co3VenGKte6zEcAAQSKFuAWu6KpWBEBBBBA\nAAEEECgo4B8+9yi4Vu4V5tIiP8QiWxX6wTbv67KpMQ+BEgX4i1QiGKsjgAACCCCAAAI5BDKa\n789KnZBa7keQv57Klal1PLmk4qf1reGJqHbXuG9L9Ge17lSGKqHcjB2j+Jdy+XNZ5ytrKhQC\nCJQpQINUJhwvQwABBBBAAIFYoFnvKaqZeN81Md5HR3ED1NDPAABAAElEQVSRslWWo1lL83y7\n4AFRTk2tN0TTtyr9UvOHafoC5UxlUcWNlZ/o9z3F5d8DtbPibS+nfKz4iX4LKhQCCJQhQINU\nBhovQQABBBBAAIFIoMvM+zTlBylUL51nXRYdQXuPuql5TnEDc3+Wg1lN83zl5+YoD0Xr7ajx\nB5Vronlh1FePfHXIvxzXV4jOUV5TDlZcOylnKH79+4ofge7b9OKrTJqkEECgWIFC97IWux3W\nQwABBBBAAIEOKpDp1LRov22ea+oz1HeRVb4+uHXZpo/u+95izW7HaqN8a90IxbfXXZXlkPzI\n83HKSKW/4qf03a6E8i/R9RWkCcrhYWYy9JWgR1PzXtC0t+naeM7g6z9X1Jh//5SvWFEIIFCG\nAA1SGWi8BAEEEEAAAQS+LdB90WlNPVfy+/zK17THfKGmpsonnq0x8kH6UeQDFP9C238pA5WD\nlMOUUxTX+DmDrA9neEbL9lbc9MxIhj/SMFsD1F3zT1JuVf6nUAggUIYAt9iVgcZLEEAAAQQQ\nQACBIgV8netnypqKrw5tpvyfcqIyt1Ko3ES5MXpV+ZvyouJfvjtFiauXJq5X+ii+LY9CAIEy\nBWiQyoTjZQgggAACCCCAQBECn2qdS5X4dz79W9O+2tNfKVT+XNEg5XTFTZEfyHCP8ooSyrfh\n+SqUG65hiq9oUQggUKYADVKZcLwMAQQQQAABBBAoQmBlreOHL/gKT6iVNOImxp8lKlRe11ef\nTlL8AAY/3GED5SXF5fsN3TBNUjZVpioUAgi0QoAGqRV4vBQBBBBAAAEEECgg8LyWu0k6UvHn\niPwZJH8eyVeRinnMRCZZd1kNXT9VBij/9ITqH8qXymjF66yaZD4NKQQQKEOAhzSUgcZLEEAA\nAQQQQACBIgXcBO2rHKG8rfRWrlP8eaRiyg9p+KPiW+j8vs2P+N5F+UhZXtlCcT02Z/D1n3tr\n7PyvpxhBAIGiBWiQiqZiRQQQQAABBBBAoKDA9lnWcHPj9FWmK58r2crNVCbLg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b\nbX5uuFzhs0n51vV68fozPEOVbbueX+66fm2x5atNGxa7stYbqjxQwvqsigACCCCAAAIIIIAA\nAhUQKLVBWlHHcJ/iKzv3KH4Ag38xrB+osLHihzesreyqFCo3ES5fhUpXmOdtu95RfGUozPe8\nuMJ8r+9UYt14f4wjgAACCCCAAAIIIIBAAwqU2iCdKQPfSre+cm/Kww9tcIO0r3KVco2Sr4pp\nkN5MNuArUu8poRFKb9fz/WhxP8DBV50qsa42+//t3Qe8LHV9Pv6LgA07CmILKooaIyga7OLP\n3k00ahIV7C3GEmOsscQaTdTo36iJHWMj9sQawG6sqLGgSFFiw27ERvk/D3dX9h7OOfecy9mz\n7f15vZ67M7NzZuf7ni3znZndqwgQIECAAAECBAgQmGeBlS5DW67N7Uz17NDzk6Wdo87fy+Ae\nlPRsz82T7dVXBjPcaJkZh9M+OXJf5+8ZrIuOTOtgf5jhyslnkuEleeOaNw+hCBAgQIAAAQIE\nCBCYV4H1dpDaSTpxFYye6TkhueAq8wzv+mAGvpjcNRn+CEPv69922lFJL+MbVs9O9fHvPZww\nuL3PYPo/jUwf17wjD2GQAAECBAgQIECAAIF5E2iHY63VM0SfSNp5eVkyPFuTwd9Vv4t0jeTV\nv5uy+sAzc/e/JUckHe7le49Nepbo1kk7XMN6WwZ6ZqjznT9pB+ugpPP3cr7DkmGNa97h8t0S\nIECAAAECBAgQIDCHAtvrILUjMjrPIzN+ePL25EnJF5LfJudMbpy8OOn/gfQvyVrq9ZmpZ7F6\nxufNgz/4cW4fkHx2MD68OS0D/e7Ta5PHJ09IWu9LHnzG0Jn/jGveMx/BEAECBAgQIECAAAEC\ncycw2vlZrnH9rtF+y9xxm0xr2hH5RdKO1LD2yMCjkmcNJvSM0mr1utzZs0iXT86VHJP8Olmu\n+lPit0r6eFdM+iMO/c7TcjWueZd7LNMIECBAgAABAgQIEJgDge11kI5MG4/fgXau929Oz2O0\nY7TW+nlm/MwaZx7XvGt8eLMRIECAAAECBAgQIDArAtvrID18VhpiPQkQIECAAAECBAgQIHB2\nBfr9H0WAAAECBAgQIECAAAECEdjeGaTlkPr9nwOSSyU7LzdDpvUnuj+/wn0mEyBAgAABAgQI\nECBAYCoF1ttB6n/g+qakP8SwWj0ld+ogrSbkPgIECBAgQIAAAQIEpk5gvR2kl6YF7Ry9ImkH\n6GfJctUzSIoAAQIECBAgQIAAAQIzJbCeDtL50rJ9k1cn95mpVlpZAgQIECBAgAABAgQIrEFg\nPT/S0P/v6EfJSWtYrlkIECBAgAABAgQIECAwcwLr6SD1/yp6V3KPZNeZa6kVJkCAAAECBAgQ\nIECAwHYE1nOJXRf1oOS9yQeSlyffTE5NltYJmdD7FAECBAgQIECAAAECBGZGYL0dpAunZf2b\nayc3XKWV/RW7J69yv7sIECBAgAABAgQIECAwdQLr7SC9Ki1o5+hLyYeTfidpufrQchNNI0CA\nAAECBAgQIECAwDQLrKeDdM405HrJx5PrTnOjrBsBAgQIECBAgAABAgR2RGA9P9JwWh6g3zd6\n3448kL8hQIAAAQIECBAgQIDAtAusp4N0ShrzweRmyXr+btoNrB8BAgQIECBAgAABAgTOEFjP\nJXb9g/6KXb971J/7fmFyXLLc/4t0cqb/MlEECBAgQIAAAQIECBCYGYH1dpDemJb1l+xuNchK\nDfUrdivJmE6AAAECBAgQIECAwNQKrLeD9Pm05LtraM1X1jCPWQgQIECAAAECBAgQIDBVAuvt\nIPUSO0WAAAECBAgQIECAAIG5FPBjC3O5WTWKAAECBAgQIECAAIEdEVjvGaSX5kH2XMMDvSHz\nNIoAAQIECBAgQIAAAQIzI7DeDlJ/4vuy22ndibm/PweuCBAgQIAAAQIECBAgMFMC6+0gXT2t\nW3pZXscvlVw1eV7SM0e9VQQIECBAgAABAgQIEJgpgfV2kH66Qut+mOn9hbsvJZ9L+n8lvSNR\nBAgQIECAAAECBAgQmBmBpWeDzu6KH5UFnJD0UjxFgAABAgQIECBAgACBmRLY6A7SudL63ZM9\nZkrByhIgQIAAAQIECBAgQCAC673E7tz5m52WketyLpY8LTlf8ulEESBAgAABAgQIECBAYKYE\n1ttB+nJat71fsTs287xsphSsLAECBAgQIECAAAECBCKw3g7Sh/I3X1tG7rRM+1nyheRfk5V+\nzCF3KQIECBAgQIAAAQIECEynwHo7SIdMZzOsFQECBAgQIECAAAECBM6+wEb/SMPZXyNLIECA\nAAECBAgQIECAwIQEdJAmBO9hCRAgQIAAAQIECBCYPoHtXWL3+qzyFXdgtV+av/FDDTsA508I\nECBAgAABAgQIEJicwPY6SFfOqu23A6u31w78jT8hQIAAAQIECBAgQIDARAW2d4ndNbJ27URt\nL/fOPMNfrvtUht+QKAIECBAgQIAAAQIECMyUwPY6SP357lNXyR65763JK5LzJI9LrpMcnSgC\nBAgQIECAAAECBAjMlMD2LrFbrTF3z53/lFw4+UxySPI/iSJAgAABAgQIECBAgMBMCmzvDNJy\njbp4Jr49eW2yW/KE5NqJzlEQFAECBAgQIECAAAECsyuw3jNIf5amvjC5SPLZ5JDki4kiQIAA\nAQIECBAgQIDAzAus9QzSnmlpv2v0uuR8yROTAxOdoyAoAgQIECBAgAABAgTmQ2AtZ5Dulqa+\nKNk9+VxySPKFRBEgQIAAAQIECBAgQGCuBLbXQep/9nq/QYuPyu0/JP2/kZrVqt9H+tJqM7iP\nAAECBAgQIECAAAEC0yawvQ7SH46s8P4ZPnRkfLXBJ+dOHaTVhNxHgAABAgQIECBAgMDUCWyv\ng9QfZOj/dbTe+vB6/8D8BAgQIECAAAECBAgQmLTA9jpIL5/0Cnp8AgQIECBAgAABAgQIbJbA\nWn/FbrPWx+MQIECAAAECBAgQIEBgYgI6SBOj98AECBAgQIAAAQIECEybgA7StG0R60OAAAEC\nBAgQIECAwMQEdJAmRu+BCRAgQIAAAQIECBCYNgEdpGnbItaHAAECBAgQIECAAIGJCeggTYze\nAxMgQIAAAQIECBAgMG0COkjTtkWsDwECBAgQIECAAAECExPQQZoYvQcmQIAAAQIECBAgQGDa\nBHSQpm2LWB8CBAgQIECAAAECBCYmoIM0MXoPTIAAAQIECBAgQIDAtAnoIE3bFrE+BAgQIECA\nAAECBAhMTEAHaWL0HpgAAQIECBAgQIAAgWkT0EGati1ifQgQIECAAAECBAgQmJiADtLE6D0w\nAQIECBAgQIAAAQLTJqCDNG1bxPoQIECAAAECBAgQIDAxAR2kidF7YAIECBAgQIAAAQIEpk1A\nB2natoj1IUCAAAECBAgQIEBgYgI6SBOj98AECBAgQIAAAQIECEybgA7StG0R60OAAAECBAgQ\nIECAwMQEdJAmRu+BCRAgQIAAAQIECBCYNgEdpGnbItaHAAECBAgQIECAAIGJCeggTYzeAxMg\nQIAAAQIECBAgMG0COkjTtkWsDwECBAgQIECAAAECExPQQZoYvQcmQIAAAQIECBAgQGDaBHSQ\npm2LWB8CBAgQIECAAAECBCYmoIM0MXoPTIAAAQIECBAgQIDAtAnoIE3bFrE+BAgQIECAAAEC\nBAhMTEAHaWL0HpgAAQIECBAgQIAAgWkT0EGati1ifQgQIECAAAECBAgQmJiADtLE6D0wAQIE\nCBAgQIAAAQLTJqCDNG1bxPoQIECAAAECBAgQIDAxAR2kidF7YAIECBAgQIAAAQIEpk1AB2na\ntoj1IUCAAAECBAgQIEBgYgI6SBOj98AECBAgQIAAAQIECEybgA7StG0R60OAAAECBAgQIECA\nwMQEdJAmRu+BCRAgQIAAAQIECBCYNgEdpGnbItaHAAECBAgQIECAAIGJCeggTYzeAxMgQIAA\nAQIECBAgMG0COkjTtkWsDwECBAgQIECAAAECExPQQZoYvQcmQIAAAQIECBAgQGDaBHSQpm2L\nWB8CBAgQIECAAAECBCYmoIM0MXoPTIAAAQIECBAgQIDAtAnoIE3bFrE+BAgQIECAAAECBAhM\nTEAHaWL0HpgAAQIECBAgQIAAgWkT0EGati1ifQgQIECAAAECBAgQmJiADtLE6D0wAQIECBAg\nQIAAAQLTJqCDNG1bxPoQIECAAAECBAgQIDAxAR2kidF7YAIECBAgQIAAAQIEpk1AB2natoj1\nIUCAAAECBAgQIEBgYgI6SBOj98AECBAgQIAAAQIECEybgA7StG0R60OAAAECBAgQIECAwMQE\ndJAmRu+BCRAgQIAAAQIECBCYNgEdpGnbItaHAAECBAgQIECAAIGJCeggTYzeAxMgQIAAAQIE\nCBAgMG0COkjTtkWsDwECBAgQIECAAAECExPQQZoYvQcmQIAAAQIECBAgQGDaBHSQpm2LWB8C\nBAgQIECAAAECBCYmoIM0MXoPTIAAAQIECBAgQIDAtAnoIE3bFrE+BAgQIECAAAECBAhMTEAH\naWL0HpgAAQIECBAgQIAAgWkT0EGati1ifQgQIECAAAECBAgQmJiADtLE6D0wAQIECBAgQIAA\nAQLTJqCDNG1bxPoQIECAAAECBAgQIDAxAR2kidF7YAIECBAgQIAAAQIEpk1AB2natoj1IUCA\nAAECBAgQIEBgYgI6SBOj98AECBAgQIAAAQIECEybgA7StG0R60OAAAECBAgQIECAwMQEdJAm\nRu+BCRAgQIAAAQIECBCYNgEdpGnbItaHAAECBAgQIECAAIGJCeggTYzeAxMgQIAAAQIECBAg\nMG0COkjTtkWsDwECBAgQIECAAAECExPQQZoYvQcmQIAAAQIECBAgQGDaBHSQpm2LWB8CBAgQ\nIECAAAECBCYmoIM0MXoPTIAAAQIECBAgQIDAtAnoIE3bFrE+BAgQIECAAAECBAhMTEAHaWL0\nHpgAAQIECBAgQIAAgWkT0EGati1ifQgQIECAAAECBAgQmJiADtLE6D0wAQIECBAgQIAAAQLT\nJqCDNG1bxPoQIECAAAECBAgQIDAxAR2kidF7YAIECBAgQIAAAQIEpk1glylYoctkHXZaYT3+\nN9NPWXLfzhk/MNkr+ULy9WSlGte8Kz2e6QQIECBAgAABAgQIzLDApDtIe8TuhFX89s19Xxu5\n/woZfkdypZFpX87wLZNvjUzr4LjmXfIwRgkQIECAAAECBAgQmBeBSXeQ9h9AfiC3/7MM6o9H\npvUs08uTSyb3SD6R3Dh5QfKR5CrJL5LWuObdunT/EiBAgAABAgQIECAwlwKT7iBdfaD6tNx+\ncDvCD8z9N0h6e+hg3mMGty/L7d2Tlw7GxzXvYPFuCBAgQIAAAQIECBCYR4FJ/0hDzyCdnnx2\nDbiHZJ5fJ29cMm/Hf5Xcd2T6IRkex7wjD2GQAAECBAgQIECAAIF5E5j0GaR2kPodo3Mmf5pc\nPOl3ij6U/DIZ1q4Z6LxHJz8ZThzc/iy3X032Szpfaxzz/nbrov1LgAABAgQIECBAgMC8Ckyy\ng3TeoF4xOSk5Ljl/Mqz+Ml0vmfvkYMKFc9tO1A8H40tvfpQJ7RxdLDklGce8385y11p7ZcbX\nJMMO2/b+7gLbm8H9BAgQIECAAAECBAiMX2CSHaSrpXm9xK+dnyck70r64wrtGD06eWdy5aSd\nn2EH4gcZXq46T2u3pJfstTZ63q1LXdu/Pat1eNKO2lrqUplp+H2stcxvHgIECBAgQIAAAQIE\nxiAwyQ7SsWlPL6vrz3N/dKRtj8tw//+idpIembTz1O8YtVb6zlTnb52a/OaMoY2fd7DYNd30\n1/SeuaY5t850ndzcdx3zm5UAAQIECBAgQIAAgTEIrNThGMNDnWWR38+UNySjnaPhTL08rTU8\nq/LdDPfM0EU6cZkaTv9p7hvXvMs8rEkECBAgQIAAAQIECMyTwCTPIK3m2O8ltYaX1p2S4Xao\nhh2h3jdanX5y0h9w6FmkccybxSoCBAgQIECAAAECBOZZYJJnkB4R2P4qXS+zW1pXGkzo/cP6\nSgauklx0OGFw2x9m6HeVPpO0c9Qa17xbl+5fAgQIECBAgAABAgTmUmCSHaRvRvSKyeOT/jjD\nsDrc7yG1hpfadfiFSc943bsjI3WfDHf6P41MG9e8Iw9hkAABAgQIECBAgACBeROY5CV2bwvm\nEcmNk/7i2yuS/0selNws+dfkQ8mwOn/PDPXHD/qT4B9MDkoem7w1OSwZ1rjmHS7fLQECBAgQ\nIECAAAECcygwyQ5SL4e7U/KM5H7JQUmr/9dRf8HuOR0ZqdMyfMPktUnPOvXX7VrvSx58xtCZ\n/4xr3jMfwRABAgQIECBAgAABAnMnMMkOUjF/nPSMUb+PdIXk58nxyUrV/9voVknPIPXyvP9N\n+qt1y9W45l3usUwjQIAAAQIECBAgQGAOBCbdQRoS9v85+uJwZA237Uj1RxnWUuOady2PbR4C\nBAgQIECAAAECBGZI4BwztK5WlQABAgQIECBAgAABAmMV0EEaK6+FEyBAgAABAgQIECAwSwI6\nSLO0tawrAQIECBAgQIAAAQJjFdBBGiuvhRMgQIAAAQIECBAgMEsCOkiztLWsKwECBAgQIECA\nAAECYxXQQRorr4UTIECAAAECBAgQIDBLAjpIs7S1rCsBAgQIECBAgAABAmMV0EEaK6+FEyBA\ngAABAgQIECAwSwI6SLO0tawrAQIECBAgQIAAAQJjFdBBGiuvhRMgQIAAAQIECBAgMEsCOkiz\ntLWsKwECBAgQIECAAAECYxXQQRorr4UTIECAAAECBAgQIDBLAjpIs7S1rCsBAgQIECBAgAAB\nAmMV0EEaK6+FEyBAgAABAgQIECAwSwI6SLO0tawrAQIECBAgQIAAAQJjFdBBGiuvhRMgQIAA\nAQIECBAgMEsCOkiztLWsKwECBAgQIECAAAECYxXQQRorr4UTIECAAAECBAgQIDBLAjpIs7S1\nrCsBAgQIECBAgAABAmMV0EEaK6+FEyBAgAABAgQIECAwSwI6SLO0tawrAQIECBAgQIAAAQJj\nFdBBGiuvhRMgQIAAAQIECBAgMEsCOkiztLWsKwECBAgQIECAAAECYxXQQRorr4UTIECAAAEC\nBAgQIDBLAjpIs7S1rCsBAgQIECBAgAABAmMV0EEaK6+FEyBAgAABAgQIECAwSwI6SLO0tawr\nAQIECBAgQIAAAQJjFdBBGiuvhRMgQIAAAQIECBAgMEsCOkiztLWsKwECBAgQIECAAAECYxXQ\nQRorr4UTIECAAAECBAgQIDBLAjpIs7S1rCsBAgQIECBAgAABAmMV0EEaK6+FEyBAgAABAgQI\nECAwSwI6SLO0tawrAQIECBAgQIAAAQJjFdBBGiuvhRMgQIAAAQIECBAgMEsCOkiztLWsKwEC\nBAgQIECAAAECYxXQQRorr4UTIECAAAECBAgQIDBLAjpIs7S1rCsBAgQIECBAgAABAmMV0EEa\nK6+FEyBAgAABAgQIECAwSwI6SLO0tawrAQIECBAgQIAAAQJjFdBBGiuvhRMgQIAAAQIECBAg\nMEsCOkiztLWsKwECBAgQIECAAAECYxXQQRorr4UTIECAAAECBAgQIDBLAjpIs7S1rCsBAgQI\nECBAgAABAmMV0EEaK6+FEyBAgAABAgQIECAwSwI6SLO0tawrAQIECBAgQIAAAQJjFdBBGiuv\nhRMgQIAAAQIECBAgMEsCOkiztLWsKwECBAgQIECAAAECYxXQQRorr4UTIECAAAECBAgQIDBL\nAjpIs7S1rCsBAgQIECBAgAABAmMV0EEaK6+FEyBAgAABAgQIECAwSwI6SLO0tawrAQIECBAg\nQIAAAQJjFdBBGiuvhRMgQIAAAQIECBAgMEsCOkiztLWsKwECBAgQIECAAAECYxXQQRorr4UT\nIECAAAECBAgQIDBLAjpIs7S1rCsBAgQIECBAgAABAmMV0EEaK6+FEyBAgAABAgQIECAwSwI6\nSLO0tawrAQIECBAgQIAAAQJjFdBBGiuvhRMgQIAAAQIECBAgMEsCOkiztLWsKwECBAgQIECA\nAAECYxXQQRorr4UTIECAAAECBAgQIDBLAjpIs7S1rCsBAgQIECBAgAABAmMV0EEaK6+FEyBA\ngAABAgQIECAwSwI6SLO0tawrAQIECBAgQIAAAQJjFdBBGiuvhRMgQIAAAQIECBAgMEsCOkiz\ntLWsKwECBAgQIECAAAECYxXQQRorr4UTIECAAAECBAgQIDBLAjpIs7S1rCsBAgQIECBAgAAB\nAmMV0EEaK6+FEyBAgAABAgQIECAwSwI6SLO0tawrAQIECBAgQIAAAQJjFdBBGiuvhRMgQIAA\nAQIECBAgMEsCOkiztLWsKwECBAgQIECAAAECYxXQQRorr4UTIECAAAECBAgQIDBLAjpIs7S1\nrCsBAgQIECBAgAABAmMV0EEaK6+FEyBAgAABAgQIECAwSwI6SLO0tawrAQIECBAgQIAAAQJj\nFdBBGiuvhRMgQIAAAQIECBAgMEsCOkiztLWsKwECBAgQIECAAAECYxXQQRorr4UTIECAAAEC\nBAgQIDBLAjpIs7S1rCsBAgQIECBAgAABAmMV0EEaK6+FEyBAgAABAgQIECAwSwI6SLO0tawr\nAQIECBAgQIAAAQJjFdBBGiuvhRMgQIAAAQIECBAgMEsCOkiztLWsKwECBAgQIECAAAECYxXQ\nQRorr4UTIECAAAECBAgQIDBLAjpIs7S1rCsBAgQIECBAgAABAmMV0EEaK6+FEyBAgAABAgQI\nECAwSwI6SLO0tawrAQIECBAgQIAAAQJjFdBBGiuvhRMgQIAAAQIECBAgMEsCOkiztLWsKwEC\nBAgQIECAAAECYxXQQRorr4UTIECAAAECBAgQIDBLAjpIs7S1rCsBAgQIECBAgAABAmMV0EEa\nK6+FEyBAgAABAgQIECAwSwI6SLO0tawrAQIECBAgQIAAAQJjFdBBGiuvhRMgQIAAAQIECBAg\nMEsCOkiztLWsKwECBAgQIECAAAECYxXQQRorr4UTIECAAAECBAgQIDBLAjpIs7S1rCsBAgQI\nECBAgAABAmMV0EEaK6+FEyBAgAABAgQIECAwSwI6SLO0tawrAQIECBAgQIAAAQJjFdBBGiuv\nhRMgQIAAAQIECBAgMEsCOkiztLWsKwECBAgQIECAAAECYxXQQRorr4UTIECAAAECBAgQIDBL\nAjpIs7S1rCsBAgQIECBAgAABAmMV0EEaK6+FEyBAgAABAgQIECAwSwI6SLO0tawrAQIECBAg\nQIAAAQJjFdBBGiuvhRMgQIAAAQIECBAgMEsCOkiztLWsKwECBAgQIECAAAECYxXQQRorr4UT\nIECAAAECBAgQIDBLAjpIs7S1rCsBAgQIECBAgAABAmMV0EEaK6+FEyBAgAABAgQIECAwSwI6\nSLO0tawrAQIECBAgQIAAAQJjFdBBGiuvhRMgQIAAAQIECBAgMEsCOkiztLWsKwECBAgQIECA\nAAECYxXQQRorr4UTIECAAAECBAgQIDBLAjpIs7S1rCsBAgQIECBAgAABAmMV0EEaK6+FEyBA\ngAABAgQIECAwSwI6SLO0tawrAQIECBAgQIAAAQJjFdBBGiuvhRMgQIAAAQIECBAgMEsCOkiz\ntLWsKwECBAgQIECAAAECYxXQQRorr4UTIECAAAECBAgQIDBLAjpIs7S1rCsBAgQIECBAgAAB\nAmMV0EEaK6+FEyBAgAABAgQIECAwSwI6SLO0tawrAQIECBAgQIAAAQJjFdhlrEufrYXvnNU9\nMNkr+ULy9UQRIECAAAECBAgQILBAAjpIWzf2FXLzjuRKI9v+yxm+ZfKtkWkGCRAgQIAAAQIE\nCBCYYwGX2G3ZslO278uTSyb3SNpZun9y2eQjyW6JIkCAAAECBAgQIEBgAQScQdqy5YHZzjdI\nenvoYJsfM7h9WW7vnrx0MO6GAAECBAgQIECAAIE5FnAGacuWQ7J9f528ccl27vivkvsumW6U\nAAECBAgQIECAAIE5FVj0DtKu2a77J19LfrJkG/8s419N9ks6nyJAgAABAgQIECBAYM4FFv0S\nuwtn+54z+eEK2/lHmd7O0cWSb68wz0qTa7vWDuimbYfTT9+y5TenrHW1Vmra2qafetrmPM7a\n1mb5uU47/Rw8RmhOP/UcW0777eZst9NP7df/prtOP22nTfTYHPezI97XtPePMwV5nGnRoU19\n/8hrc9qr73Gb9346/e8fWzbx/bSPNe21me8f3fdTBNYjsE9m7tPmzSv8Uaf3/v5ww3rq8pn5\nlKR/u9aclnnH3FE6Pd+p6stk87LzTqe1kzmVdY4tpx66mRZ9rF3Ocep6O9qbZ7fzKW/dbI+d\ndj712M1r4DofaZdT3rvpHrue+qV1ruWmzb7rzqd8eLM9zrnzqZ/etAau84G2rtvmvZfWfus2\nWOeKbtLsO53x3N1cjy1nvEY3qYHrfJit722b7HHGe/g6V3SzZt/5tHz2bbLHOU7PZ/x0VvaN\nfrzpHlu6D6jWKjD9Xey1tmTH5rtU/qw/4/2W5E7LLKLT/yhph2e9O3LXzN+s59K882f+9yVj\nrNMvkoXvO8YHWG7RJ+WHAoc/erHc/ROcdvpF8+Dr7fye3fX9XjzW+1w6u4+5xr8/fY/M2Of6\nZtZ34nH8Zj7g2h/r9Itn3suuff4NmfN/4/HNDVnShi/k9Etkkb+34YtdfYF5f97pxNVnmdS9\np/fz49Kb/OgnxGNKD7KcfplY9NdgN7OOi8d3N/MB1/5Yp++defv/Km5mfSMe39/MB1z7Y51+\nucy759rn35A58/9Z7vSDDVnShi/k9H2yyF6dtJl1dDym9qD1ZkJ4rO0L7JJZTkuOWGHWIzM9\nZ1y27L7C/SYTIECAAAECBAgQIDBHAjNw0epYtXsZXI+29MzKctXpJydLf8BhuXlNI0CAAAEC\nBAgQIECAwMwL9OzRb5NebjVaPfXZ6R8anWiYAAECBAgQIECAAAEC8yzwx2lcL6N79JJGPmYw\n/c5LphslQIAAAQIECBAgQIDA3Ar0MsMvJ6cmf5fcNHnaYLw/0qAIECBAgAABAgQIECCwUAK9\nvO7dSX+woWeTmvzEORJt3wAAKllJREFU75b+ipUiQIAAAQIECBAgQIDAQgr0p7YPSHSMFnLz\nazQBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBA\ngAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBA\ngAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBA\ngAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBA\ngAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgRmS+ASs7W6Y19bHmMn9gBzJOD1su3G\n5LGthzECSwX6GrnI0onGt+wcgz05bJzAThu3KEuaQ4G+ET0k2Tc5bzJ8vvSFuEuye3LVpOOL\nUDy23cq7ZfTByZWTyyV9TixX119u4pxOq8WVkgus0r5Xr3LfPN3l9bLt1uSxrUfHvF7ONOlO\n//2TP0z6/rHS5+qNc98i1CXTyIcmH0zenZwzeWdy8+TU5O3J3ZLfJotQd0wj75RcMNl10ODu\nk/Vz9zzJPsk/J09OFAECYxQ4d5Z9dHL6Kvll7usb1iIUj223cjvMH0mGz4/TMrxStv3L+Rzr\nB9Xrk6HHarfzKbBtq7xeeGwrsO2Y18u2HufK6GeT1d43hvdt+5fzOdad/k8NPB47aOKTB+Mn\n5vajg+EX5XYR6l5p5HD7r3T7tczTTpQiQGDMAnfN8vtCfHNyQPK3yY+SiyfXSw5NfpHsnSxC\n8dh2K98+o31+/Gdy06RH9xa5eiSzHv2QekJyn+SQFZLJc19eL9tuYh7beni9bOvxpxnt+8e7\nkqskPQDVM0jLJZPnvu6QFtbj6Uk7j61jk18mu3ck9ZrkZ0k72/NeX0kDf5rcI+mZ6J8nj0mu\nmPS5032zFyeKAIFNEHhiHqNvUL0EotXLpDp+jY6k+qb01mRRziDx6FY/s56RwdHnx5n3LObQ\ncwceey9m88/Saq+XbUl4bOvh9bKtx7Mz2vfTHoBUW7Y8Lgi/Ts43wOhly/V592C8N3dJOu0K\nHZnjaif5N8kbR9r4gQy/Y2T86hk+NbnWyDSDZ1PgHGfz7/35/Ar0eugfJD1y0frq1pst+w1u\n+8b0huRWSS+nmffise0W/klG+6Z93LaTF3bsW2l5r4Wvi9r6JWrvH2c+E7x/nGnRIa+XbT2+\nl9FTknYK1JYtFwtCz5L83wCj+xmt92y9OePf8wyG5/3qhXYS+52jDw3a25vujw33xTr+ueRr\nyR06ojZGQAdpYxzncSnHpFE9lX3RQeO6s/PDZPQIxTcz3qMbPc0778Vj2y38Xxntm/Zttp28\nsGP94O5Bg3ssrMC2Dfd64bGtwLZjXi/behyZ0X6W3nXbyQs71svpuv/Ryw17tUrPFrVGzyD9\nUcb7vdcTesccVy+t6/5Xz6INqx2kyyR7Difktvtj9VIECIxZoN8z6g7f85NeD906IvlGMjxy\n87QMd569k3mvRffoUbp+YI3mBRk/OXlIckDSo36j9w+HM3khqh/YP06emtw2ucEKyeS5r0V/\nvSzdwDyWimzZ4vWyrckjM/r95AHJHySL/H66V9r/q+Sk5Mik+xmHJ619k08lnfb6ZBHq/Wlk\nz7oeOGjsjXLb9ve50jp/0s/iVyWKAIFNEHhTHqMvwvcNHuvgwfiXc9s3q9739WRRzkQuskd/\nHafbe0eSP1uIelBa2Utktme0EBhp5CK/Xpbbxjy2VfF6OdPjTzL47aRnRLx/bHXpj/8cm5ya\nfCjZI2ldP6lR90F6EG4Rav80spe09/nRgy3d5+rB6nYi35Z8P6nJPRO1QQK7bNByLGY+Be6X\nZrUzdKFB816b2x7B6AfblZMe3blX0hftItQie3wnG/iti7CRd7CN/dB6cfKzpEf7vpgsyusi\nTV22Fvn1shwIjzNVvF7OtOhQP0s/se2khR/7QAQul/Q7zu0IDKvft2mH4fPDCQtwe1TaeMvk\n0UmfK/1saae6v3o4/N7R6zJ8aKIIEJigQI/ktKN03gmuwzQ9NI9p2hqTWZcn5GF7BO/mk3n4\nmXpUr5dtN9cieni9bPscMLa6wCVz942SnjHq5d67Jmrr99auEYh2JBUBAgQIzJDAJWZoXc/O\nqj4mf9xLIPrhrbZsuXEQHpYMf+SFCYFRAa+XUY1th3fL6AHJXZOeHejZkp2SRau2+eCklx72\n4FNzk+SaSc8eXStRBMYmsIgvurFhzumCeyldfz3lAqu079Wr3Derd3VHt5cW9jslP016mn81\ng9z9u+r1wItQ7fw8JOmXZns2cfh+0l9j6uW7Pdp31aTj8179sP5k0ssg3jvvjV1D+3otfN8X\nfpu8M3ll8p7klGQRyvvH6lvZ6+WsPn3P7EGFJyfnS0bruIz0Ry0W6bKyp6e9j0t+mXwquWFy\n0+T/kn4nqZ8r90nmcf/jXGlXv2e03ur77aK8x67XxvwENkygO7uvT4ZHbla73bAHnaIF3XHQ\n9l7j2+oO32oGo/ed8Qdz/k87jEdvx6QfbN05XpR6Yhr686SdxmsneyXtJC5NJs19tcP858mw\nU9TXR7/H9pzkKsm8l/eP7W9hr5dtjf4xo8PXyYsz/DfJ05K3JN3p7X+z0cupFqGulkb2xxn6\nvZp2Fjtem5skrd9PjklOTObxANxRadfoPsVah5+Uv1MbJLDLBi3HYuZPoKf375Z8PXlN0p2b\nvmEtSvW0/mHJZwcNPmEwPhhd+Jte+nHFgcmzcnub5OFJd34vn/SHPHrE86HJItSd08gHJP0w\nf9F2GtyDD/NeJ6eB3blp2lH8s+QeyaMG6dm2VyZvSH6SzFt5/1h9i3q9bOuzf0b7/tkDSn+a\n/CIZratm5IPJ3yc9izLvdVAa2E7BA5P/S5bWlzLhZcmzk0sl/Xyep/pYGvPdHWjQN3bgb/zJ\nCgKL8EG9QtNN3o7Ac3P/XyWXTY5PFIFRgSdm5KlJO0RfSa6ffDg5IGmnsu8tb0l6EOZ2ybzX\nQWngX66xkX+8xvnmcbY/SKO6A/gnyT7Jr5LzJGqxBA5Kc71eztzmtXh+0h/s+MGZk7cZ6jw9\nGHWh5Dfb3DN/I/+YJvU94tKDpl0tt728sJ3D/xpMu1lu35dcPTlqMM0NgQ0T6M6LIrCcwLcy\nsdez/mS5Oxdw2o3T5r5J94j4Sh9gi8RykYFDO0etr2692bJfbj+b9Ohfzw7U69xJd4TnuY5M\n4xq1ukA7Q7smw4NzfY9RiydwZJrcqK0CPRDZMwarfbb0rElfP1dKvpDMcx2dxl0yuUTSs7HL\n1XUzsT93/bXl7pzxaefK+vsO0oxvRKs/vwL7pmm/ThblEqntbcnhd5B+kxn/PbltssgHGPo9\nm344XTQZVj/ce+38sK6TgXaU2rFUWwX6gb9o1TNFT0q6I9PnQ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3dvQM0osH0w7O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\nCBBYRuD/B05DxxVjclIMAAAAAElFTkSuQmCC",
      "text/plain": [
       "Plot with title “10 Most Popular Names”"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_bar = barplot(first_10$Birth, names.arg = first_10$Names,\n",
    "                 col= rainbow_hcl(2)[as.factor(first_10$Sex)], \n",
    "                 space = c(1.4), border=\"blue\", las=2,\n",
    "                 xlab=\"Names\", ylab=\"Number of Names\", main=\"10 Most Popular Names\" , ylim=c(0,22000))\n",
    "\n",
    "# Add the text \n",
    "text(my_bar, first_10$Birth+400, paste(first_10$Birth) ,cex=0.7) \n",
    "legend(\"topright\", legend = unique(first_10$Sex), col= rainbow_hcl(2)[unique(first_10$Sex)],\n",
    "      pch=20 , pt.cex = 2, cex = 0.8, horiz = FALSE, inset = c(0.05, 0.05))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "R",
   "language": "R",
   "name": "ir"
  },
  "language_info": {
   "codemirror_mode": "r",
   "file_extension": ".r",
   "mimetype": "text/x-r-source",
   "name": "R",
   "pygments_lexer": "r",
   "version": "3.4.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}