{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "── \u001b[1mAttaching packages\u001b[22m ─────────────────────────────────────── tidyverse 1.3.0 ──\n",
      "\n",
      "\u001b[32m✔\u001b[39m \u001b[34mggplot2\u001b[39m 3.3.2     \u001b[32m✔\u001b[39m \u001b[34mpurrr  \u001b[39m 0.3.4\n",
      "\u001b[32m✔\u001b[39m \u001b[34mtibble \u001b[39m 3.0.3     \u001b[32m✔\u001b[39m \u001b[34mdplyr  \u001b[39m 1.0.2\n",
      "\u001b[32m✔\u001b[39m \u001b[34mtidyr  \u001b[39m 1.1.1     \u001b[32m✔\u001b[39m \u001b[34mstringr\u001b[39m 1.4.0\n",
      "\u001b[32m✔\u001b[39m \u001b[34mreadr  \u001b[39m 1.3.1     \u001b[32m✔\u001b[39m \u001b[34mforcats\u001b[39m 0.5.0\n",
      "\n",
      "── \u001b[1mConflicts\u001b[22m ────────────────────────────────────────── tidyverse_conflicts() ──\n",
      "\u001b[31m✖\u001b[39m \u001b[34mdplyr\u001b[39m::\u001b[32mfilter()\u001b[39m masks \u001b[34mstats\u001b[39m::filter()\n",
      "\u001b[31m✖\u001b[39m \u001b[34mdplyr\u001b[39m::\u001b[32mlag()\u001b[39m    masks \u001b[34mstats\u001b[39m::lag()\n",
      "\n"
     ]
    }
   ],
   "source": [
    "library(\"tidyverse\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [],
   "source": [
    "options(repr.plot.width=4, repr.plot.height=3, repr.plot.res = 300) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [],
   "source": [
    "library(\"palmerpenguins\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<caption>A tibble: 6 × 8</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>species</th><th scope=col>island</th><th scope=col>bill_length_mm</th><th scope=col>bill_depth_mm</th><th scope=col>flipper_length_mm</th><th scope=col>body_mass_g</th><th scope=col>sex</th><th scope=col>year</th></tr>\n",
       "\t<tr><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>Adelie</td><td>Torgersen</td><td>39.1</td><td>18.7</td><td>181</td><td>3750</td><td>male  </td><td>2007</td></tr>\n",
       "\t<tr><td>Adelie</td><td>Torgersen</td><td>39.5</td><td>17.4</td><td>186</td><td>3800</td><td>female</td><td>2007</td></tr>\n",
       "\t<tr><td>Adelie</td><td>Torgersen</td><td>40.3</td><td>18.0</td><td>195</td><td>3250</td><td>female</td><td>2007</td></tr>\n",
       "\t<tr><td>Adelie</td><td>Torgersen</td><td>  NA</td><td>  NA</td><td> NA</td><td>  NA</td><td>NA    </td><td>2007</td></tr>\n",
       "\t<tr><td>Adelie</td><td>Torgersen</td><td>36.7</td><td>19.3</td><td>193</td><td>3450</td><td>female</td><td>2007</td></tr>\n",
       "\t<tr><td>Adelie</td><td>Torgersen</td><td>39.3</td><td>20.6</td><td>190</td><td>3650</td><td>male  </td><td>2007</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A tibble: 6 × 8\n",
       "\\begin{tabular}{llllllll}\n",
       " species & island & bill\\_length\\_mm & bill\\_depth\\_mm & flipper\\_length\\_mm & body\\_mass\\_g & sex & year\\\\\n",
       " <fct> & <fct> & <dbl> & <dbl> & <int> & <int> & <fct> & <int>\\\\\n",
       "\\hline\n",
       "\t Adelie & Torgersen & 39.1 & 18.7 & 181 & 3750 & male   & 2007\\\\\n",
       "\t Adelie & Torgersen & 39.5 & 17.4 & 186 & 3800 & female & 2007\\\\\n",
       "\t Adelie & Torgersen & 40.3 & 18.0 & 195 & 3250 & female & 2007\\\\\n",
       "\t Adelie & Torgersen &   NA &   NA &  NA &   NA & NA     & 2007\\\\\n",
       "\t Adelie & Torgersen & 36.7 & 19.3 & 193 & 3450 & female & 2007\\\\\n",
       "\t Adelie & Torgersen & 39.3 & 20.6 & 190 & 3650 & male   & 2007\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A tibble: 6 × 8\n",
       "\n",
       "| species &lt;fct&gt; | island &lt;fct&gt; | bill_length_mm &lt;dbl&gt; | bill_depth_mm &lt;dbl&gt; | flipper_length_mm &lt;int&gt; | body_mass_g &lt;int&gt; | sex &lt;fct&gt; | year &lt;int&gt; |\n",
       "|---|---|---|---|---|---|---|---|\n",
       "| Adelie | Torgersen | 39.1 | 18.7 | 181 | 3750 | male   | 2007 |\n",
       "| Adelie | Torgersen | 39.5 | 17.4 | 186 | 3800 | female | 2007 |\n",
       "| Adelie | Torgersen | 40.3 | 18.0 | 195 | 3250 | female | 2007 |\n",
       "| Adelie | Torgersen |   NA |   NA |  NA |   NA | NA     | 2007 |\n",
       "| Adelie | Torgersen | 36.7 | 19.3 | 193 | 3450 | female | 2007 |\n",
       "| Adelie | Torgersen | 39.3 | 20.6 | 190 | 3650 | male   | 2007 |\n",
       "\n"
      ],
      "text/plain": [
       "  species island    bill_length_mm bill_depth_mm flipper_length_mm body_mass_g\n",
       "1 Adelie  Torgersen 39.1           18.7          181               3750       \n",
       "2 Adelie  Torgersen 39.5           17.4          186               3800       \n",
       "3 Adelie  Torgersen 40.3           18.0          195               3250       \n",
       "4 Adelie  Torgersen   NA             NA           NA                 NA       \n",
       "5 Adelie  Torgersen 36.7           19.3          193               3450       \n",
       "6 Adelie  Torgersen 39.3           20.6          190               3650       \n",
       "  sex    year\n",
       "1 male   2007\n",
       "2 female 2007\n",
       "3 female 2007\n",
       "4 NA     2007\n",
       "5 female 2007\n",
       "6 male   2007"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "penguins %>% head"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<caption>A grouped_df: 6 × 3</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>species</th><th scope=col>sex</th><th scope=col>n</th></tr>\n",
       "\t<tr><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>Adelie   </td><td>female</td><td>73</td></tr>\n",
       "\t<tr><td>Adelie   </td><td>male  </td><td>73</td></tr>\n",
       "\t<tr><td>Chinstrap</td><td>female</td><td>34</td></tr>\n",
       "\t<tr><td>Chinstrap</td><td>male  </td><td>34</td></tr>\n",
       "\t<tr><td>Gentoo   </td><td>female</td><td>58</td></tr>\n",
       "\t<tr><td>Gentoo   </td><td>male  </td><td>61</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A grouped\\_df: 6 × 3\n",
       "\\begin{tabular}{lll}\n",
       " species & sex & n\\\\\n",
       " <fct> & <fct> & <int>\\\\\n",
       "\\hline\n",
       "\t Adelie    & female & 73\\\\\n",
       "\t Adelie    & male   & 73\\\\\n",
       "\t Chinstrap & female & 34\\\\\n",
       "\t Chinstrap & male   & 34\\\\\n",
       "\t Gentoo    & female & 58\\\\\n",
       "\t Gentoo    & male   & 61\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A grouped_df: 6 × 3\n",
       "\n",
       "| species &lt;fct&gt; | sex &lt;fct&gt; | n &lt;int&gt; |\n",
       "|---|---|---|\n",
       "| Adelie    | female | 73 |\n",
       "| Adelie    | male   | 73 |\n",
       "| Chinstrap | female | 34 |\n",
       "| Chinstrap | male   | 34 |\n",
       "| Gentoo    | female | 58 |\n",
       "| Gentoo    | male   | 61 |\n",
       "\n"
      ],
      "text/plain": [
       "  species   sex    n \n",
       "1 Adelie    female 73\n",
       "2 Adelie    male   73\n",
       "3 Chinstrap female 34\n",
       "4 Chinstrap male   34\n",
       "5 Gentoo    female 58\n",
       "6 Gentoo    male   61"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_counts = penguins %>%\n",
    "    drop_na() %>%\n",
    "    group_by(species, sex) %>%\n",
    "    count()\n",
    "\n",
    "df_counts"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "We want to visualize the number of each sex within each species?\n",
    "\n",
    "- What kind of plot? (bars?, points? other?)\n",
    "- What are the axes?\n",
    "- What other encodings could we try?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "<img src=\"count_sex_by_species.png\" style=\"width: 600px;\" />"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "We want to visualize the number of each sex within each species?\n",
    "\n",
    "- What kind of plot? Bar chart\n",
    "  - determines the \"geom\"\n",
    "- What are the axes? X is \"species\" Y is \"n\" (or the count) \n",
    "  - this goes in the \"aes\" function\n",
    "- What other encodings could we try? color/group by \"sex\" \n",
    "  - this also goes in the \"aes\" function"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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sGyQbDECLBWchCskAiWDYIlRoC1koNg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\n8JwAAAAASUVORK5CYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 450,
       "width": 600
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p = ggplot(df_counts, aes(x = species, y = n, fill = sex))\n",
    "\n",
    "p = p + geom_col()\n",
    "\n",
    "p"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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04HPG/iaGMmRFEvA3eDsDrjUHNnCcKSqWlOhLXu81FMk/Mmuw/CygyHmjtLEJZM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\ngLAAIDcgLADIDQgLAHLD/w+uo0VjOm21ugAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 450,
       "width": 600
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p = ggplot(df_counts, aes(x = species, y = n, fill = sex))\n",
    "\n",
    "p = p + geom_col(position = \"dodge\")\n",
    "\n",
    "p"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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nLPTapitgO5hyDnQu45Qe4BNOTyKBW55yZVMduB3EOQcyH3nCD3ABpyeZSK3HOT\nqpjtQO4hyLmQe06QewANuTxKRe65SVXMdiD3EORcyD0nyD2AhlwepSL33KQqZjuQewhyLuSe\nE+QeQEMuj1KRe25SFbMdyD0EORdyzwlyD6Ahl0epyD03qYrZDuQegpwLuecEuQfQkMujVOSe\nm1TFbAdyD0HOhdxzgtwDaMjlUSpyz02qYrYDuYcg50LuOUHuATTk8igVuecmVTHbgdxDkHMh\n95wg9wAacnmUitxzk6qY7UDuIci5kHtOkHsADbk8SkXuuUlVzHYg9xDkXMg9J8g9gIZcHqUi\n99ykKmY7kHsIci7knhPkHkBDLo9SkXtuUhWzHcg9BDkXcs8Jcg+gIZdHqcg9N6mK2Q7kHoKc\nC7nnBLkH0JDLo1TknptUxWwHcg9BzoXcc4LcA2jI5VEqcs9NqmK2A7mHIOdC7jlB7gE05PIo\nFbnnJlUx24HcQ5BzIfecIPcAGnJ5lIrcc5OqmO1A7iHIuZB7TpB7AA25PEpF7rlJVcx2IPcQ\n5FzIPSfIPYCGXB6lIvfcpCpmO5B7CHIu5J4T5B5AQy6PUpF7blIVsx3IPQQ5F3LPCXIPoCGX\nR6nIPTepitkO5B6CnAu55wS5B9CQy6NU5J6bVMVsB3IPQc6F3HOC3ANoyOVRKnLPTapitgO5\nhyDnQu45Qe4BNOTyKBW55yZVMduB3EOQcyH3nCD3ABpyeZSK3HOTqpjtQO4hyLmQe06QewAN\nuTxKRe65SVXMdiD3EORcyD0nyD2AhlwepSL33KQqZjuQewhyLuSeE+QeQEMuj1KRe25SFbMd\nyD0EORdyzwlyD6Ahl0epyD03qYrZDuQegpwLuecEuQfQkMujVOSem1TFbAdyD0HOhdxzgtwD\naMjlUWp35P5DGe3TG01DrsQ8VJ7KR6b7b2qf4XjkXI/UF/XhxXk2UrOlxUWfGu0zHE1DLo9S\nuyP3BrRPbzTaJy4/2mc4HjnXY0G7rZ8NC2if4Wji4iL33GifuPxon+F45FzI3RraZziauLjd\nkfsi/YoqMXxbJgQ5F9+WyQnflgmgIZdHqd2R+yL9WUhi+IFqCHIufqCaE36gGkBDLo9SkXtu\nUhWzHcg9BDkXcs8Jcg+gIZdHqcg9N6mK2Q7kHoKcC7nnBLkH0JDLo1TknptUxWwHcg9BzoXc\nc4LcA2jI5VEqcs9NqmK2A7mHIOdC7jlB7gE05PIoFbnnJlUx24HcQ5BzIfecIPcAGnJ5lIrc\nc5OqmO1A7iHIuZB7TpB7AA25PEpF7rlJVcx2IPcQ5FzIPSfIPYCGXB6lIvfcpCpmO5B7CHIu\n5J4T5B5AQy6PUpF7blIVsx3IPQQ5F3LPCXIPoCGXR6nIPTepitkO5B6CnAu55wS5B9CQy6NU\n5J6bVMVsB3IPQc6F3HOC3ANoyOVRKnLPTapitgO5hyDnQu45Qe4BNOTyKBW55yZVMduB3EOQ\ncyH3nCD3ABpyeZSK3HOTqpjtQO4hyLmQe06QewANuTxKRe65SVXMdiD3EORcyD0nyD2Ahlwe\npSL33KQqZjuQewhyLuSeE+QeQEMuj1KRe25SFbMdyD0EORdyzwlyD6Ahl0epyD03qYrZDuQe\ngpwLuecEuQfQkMujVOSem1TFbAdyD0HOhdxzgtwDaMjlUSpyz02qYrYDuYcg50LuOUHuATTk\n8igVuecmVTHbgdxDkHMh95wg9wAacnmUitxzk6qY7UDuIci5kHtOkHsADbk8SkXuuUlVzHYg\n9xDkXMg9J8g9gIZcHqUi99ykKmY7kHsIci7knhPkHkBDLo9SkXtuUhWzHcg9BDkXcs8Jcg+g\nIZdHqcg9N6mK2Q7kHoKcC7nnBLkH0JDLo1TknptUxWwHcg9BzoXcc4LcA2jI5VEqcs9NqmK2\nA7mHIOdC7jlB7gE05PIoFbnnJlUx24HcQ5BzIfecIPcAGnJ5lIrcc5OqmO1A7iHIuZB7TpB7\nAA25PEpF7rlJVcx2IPcQ5FzIPSfIPYCGXB6lIvfcpCpmO5B7CHIu5J4T5B5AQy6PUpF7blIV\nsx3IPQQ5F3LPCXIPoCGXR6nIPTepitkO5B6CnAu55wS5B9CQy6NU5J6bVMVsB3IPQc6F3HOC\n3ANoyOVRKnLPTapitgO5hyDnQu45Qe4BNOTyKBW55yZVMduB3EOQcyH3nCD3ABpyeZSK3HOT\nqpjtQO4hyLmQe06QewANuTxKRe65SVXMdiD3EORcyD0nyD2AhlwepSL33KQqZjuQewhyLuSe\nE+QeQEMuj1KRe18mK0AAACAASURBVG5SFbMdyD0EORdyzwlyD6Ahl0epyD03qYrZDuQegpwL\nuecEuQfQkMujVOSem1TFbAdyD0HOhdxzgtwDaMjlUSpyz02qYrYDuYcg50LuOUHuATTk8igV\nuecmVTHbgdxDkHMh95wg9wAacnmUitxzk6qY7UDuIci5kHtOkHsADbk8SkXuuUlVzHYg9xDk\nXMg9J8g9gIZcHqUi99ykKmY7kHsIci7knhPkHkBDLo9SkXtuUhWzHcg9BDkXcs8Jcg+gIZdH\nqcg9N6mK2Q7kHoKcC7nnBLkH0JDLo1TknptUxWwHcg9BzoXcc4LcA2jI5VEqcs9NqmK2A7mH\nIOdC7jlB7gE05PIoFbnnJlUx24HcQ5BzIfecIPcAGnJ5lIrcc5OqmO1A7iHIuZB7TpB7AA25\nPEpF7rlJVcx2IPcQ5FzIPSfIPYCGXB6lIvfcpCpmO5B7CHIu5J4T5B5AQy6PUpF7blIVsx3I\nPQQ5F3LPCXIPoCGXR6nIPTepitkO5B6CnAu55wS5B9CQy6NU5J6bVMVsB3IPQc6F3HOC3ANo\nyOVRKnLPTapitgO5hyDnQu45Qe4BNOTyKBW55yZVMduB3EOQcyH3nCD3ABpyeZSK3HOTqpjt\nQO4hyLmQe06QewANuTxKRe65SVXMdiD3EORcyD0nyD2AhlwepSL33KQqZjuQewhyLuSeE+Qe\nQEMuj1KRe25SFbMdyD0EORdyzwlyD6Ahl0epyD03qYrZDuQegpwLuecEuQfQkMujVOSem1TF\nbAdyD0HOhdxzgtwDaMjlUSpyz02qYrYDuYcg50LuOUHuATTk8igVuecmVTHbgdxDkHMh95wg\n9wAacnmUmkvuj6x17pjxzVvfeegeK162fsM2/xGLdC6JQe4hyLmQe06QewANuTxKzSX3c9yE\n3Lec6ubY7zbvEYt0LolB7iHIuZB7TpB7AA25PErNJPeb3YTct76yuLHmpNMOLz7s7rX7Ip1L\nYpB7CHIu5J4T5B5AQy6PUvPIfes6t3ws9/OcW/GJ7cXG3Uc6t88WzzGLdC6JQe4hyLmQe06Q\newANuTxKzSP3dzp3TiX37xeev3q4uWkf5y7xHLNI55IY5B6CnAu55wS5B9CQy6PULHK/Zak7\n5qZK7hc7d8ToniucW7uj/qBFOpfEIPcQ5FzIPSfIPYCGXB4P55D71gPc8m/dXMn95c5dObrr\n4aXObaw/apHOJTHIPQQ5F3LPCXIPoCGXR8Q55P4u5z4wW8l9s3Pu7uq+o5y7vP6oRTqXxCD3\nEORcyD0nyD2AhlweEWeQ+21L3aGPj+V+i3PLx9+JOce5M+oPW6RzSQxyD0HOhdxzgtwDaMjl\nMXF6uW870C3dODuW+9XO7T++97J5v9s0ySKdS2KQewhyLuSeE+QeQEMuj4rTy/185y6cnZB7\nofNjx/d+yrl141sfPr7i7EdltE9vNA25UlOe1sen+09qn+F4GoLVF3yxno3EPN7iXKZG+wxH\n05DLo+Lkcr9jqTuofJOBSu7vc+6k8d3XObfn+Nb651Xs3fC82qc3mtQnuHton+F45FyPBe22\nfjYsoH2Go4mLm1ru2w52Swe/hFrJ/ULn1o/vv8G5VeNbyN0C2mc4HjkXcreG9hmOJi5uarm/\nx7nzBhuV3C9w7pTx/dcjd3Non+F45FzI3RraZziauLiJ5b5xmVu3dbDl+bbMNc6tGd96/yEV\nb3xMRvv0RtOQKzXlad0+3X9S+wzHI+fyvIXpo4vzbKSmfD+S2en+k/2dTUMuj43Tyv2xQ527\nabhZyf0j836gusG5A+qPXaQ/6E4Mr5YJQc7Fq2VywqtlAmjI5dFxWrkXn6WfM7dZyf2aea+P\nKR5xfP2xi3QuiUHuIci5kHtOkHsADbk8Ok4q9x8sc8vOOm/Iac7tXXz41uztzi3bXj3kTc6d\nWX/wIp1LYpB7CHIu5J4T5B5AQy6Pj5PK/R63E9fPbl3m3F3VQ/Z3bkP9wYt0LolB7iHIuZB7\nTpB7AA25PD7OL/fZ4527bPSI+4td99cfvEjnkhjkHoKcC7nnBLkH0JDL4+NsfyB7/K6Q5c9Q\nR28uc5Fzx3kOWKRzSQxyD0HOhdxzgtwDaMjlUeoU5L55tXMfG25+Z5Vz13oOWKRzSQxyD0HO\nhdxzgtwDaMjlUeoU5F7+hY7ll5dvJXHLWueO9fytDuSeBOQegpwLuecEuQfQkMuj1GnIffup\nzrk9Xr3+wOLDvt/zHbBI55IY5B6CnAu55wS5B9CQy6PUach99vGzls79fPXoe70HLNK5JAa5\nhyDnQu45Qe4BNOTyKHUqcp+dvfO8Q1evXHf6db7vycwi9zQg9xDkXMg9J8g9gIZcHqVmk3sw\ni3QuiUHuIci5kHtOkHsADbk8SkXuuUlVzHYg9xDkXMg9J8g9gIZcHqUi99ykKmY7kHsIci7k\nnhPkHkBDLo9SkXtuUhWzHcg9BDkXcs8Jcg+gIZdHqcg9N6mK2Q7kHoKcC7nnBLkH0JDLo1Tk\nnptUxWwHcg9BzoXcc4LcA2jI5VFqC7lv+eKFZ7zm1QuI8rfIIp1LYpB7CHIu5J4T5B5AQy6P\nUhvl/r11v7CkhkiDCyzSuSQGuYcg50LuOUHuATTk8ii1ydI3/2qd2pF7e1IVsx3IPQQ5F3LP\nCXIPoCGXR6kNln706fVuR+6tSVXMdiD3EORcyD0nyD2AhlwepTZY+vxS5D/1h3sdftzx84l2\nuJdFOpfEIPcQ5FzIPSfIPYCGXB6lNsh9WeH25fdECzuERTqXxCD3EORcyD0nyD2AhlwepTbI\nfdclS/54u/yQVCzSuSQGuYcg50LuOUHuATTk8ii1Qe4/v2TJBdG6DmORziUxyD0EORdyzwly\nD6Ahl0epDXL/6SVLvhSt6zAW6VwSg9xDkHMh95wg9wAacnmU2iD3X1uy5NZoXYexSOeSGOQe\ngpwLuecEuQfQkMuj1Aa5/8WSJZ+L1nUYi3QuiUHuIci5kHtOkHsADbk8Sm2Q+xuWLHljtK7D\nWKRzSQxyD0HOhdxzgtwDaMjlUWqD3P/jF5Y8Y1u0r4NYpHNJDHIPQc6F3HOC3ANoyOVRatOv\nmn74SUsOi9V1GIt0LolB7iHIuZB7TpB7AA25PEptfB+B839myer7I30dxCKdS2KQewhyLuSe\nE+QeQEMuj1Kb3yTma3+w5Cm7n/XJL35lHnECl1ikc0kMcg9BzoXcc4LcA2jI5VFqg9yf9is/\nyxuH/WSkKmY7kHsIci7knhPkHkBDLo9SGyzteU9I5N6eVMVsB3IPQc6F3HOC3ANoyOWzt2xc\n5P4Tk6qY7UDuIci5kHtOkHsADbl89paN+3/91u8869m/X0O0w70s0rkkBrmHIOdC7jlB7gE0\n5PIolT+QnZtUxWwHcg9BzoXcc4LcA2jI5VEqcs9NqmK2A7mHIOdC7jlB7gE05PIoFbnnJlUx\n24HcQ5BzIfecIPcAGnJ5lIrcc5OqmO1A7iHIuZB7TpB7AA25PEpF7rlJVcx2IPcQ5FzIPSfI\nPYCGXB6lIvfcpCpmO5B7CHIu5J4T5B5AQy6PUpF7blIVsx3IPQQ5F3LPCXIPoCGXR6nIPTep\nitkO5B6CnAu55wS5B9CQy6NU5J6bVMVsB3IPQc6F3HOC3ANoyOVRKnLPTapitgO5hyDnQu45\nQe4BNOTyKBW55yZVMduB3EOQcyH3nCD3ABpyeZSK3HNjP432muKRK4fce5zG1mzkyiF3Leyn\n0V5TPHLlkHuP09iajVw55K6F/TTaa4pHrhxy73EaW7ORK4fctbCfRntN8ciVQ+49TmNrNnLl\nkLsW9tNorykeuXLIvcdpbM1Grhxy18J+Gu01xSNXDrn3OI2t2ciVQ+5a2E+jvaZ45Moh9x6n\nsTUbuXLIXQv7abTXFI9cOeTe4zS2ZiNXDrlrYT+N9prikSuH3HucxtZs5Mohdy3sp9FeUzxy\n5ZB7j9PYmo1cOeSuhf002muKR64ccu9xGluzkSuH3LWwn0Z7TfHIlUPuPU5jazZy5ZC7FvbT\naK8pHrlyyL3HaWzNRq4cctfCfhrtNcUjVw659ziNrdnIlUPuWthPo72meOTKIfcep7E1G7ly\nyF0L+2m01xSPXDnk3uM0tmYjVw65a2E/jfaa4pErh9x7nMbWbOTKIXct7KfRXlM8cuWQe4/T\n2JqNXDnkroX9NNprikeuHHLvcRpbs5Erh9y1sJ9Ge03xyJVD7j1OY2s2cuWQuxb202ivKR65\ncsi9x2lszUauHHLXwn4a7TXFI1cOufc4ja3ZyJVD7lrYT6O9pnjkyiH3HqexNRu5cshdC/tp\ntNcUj1w55N7jNLZmI1cOuWthP432muKRK4fce5zG1mzkyiF3Leyn0V5TPHLlkHuP09iajVw5\n5K6F/TTaa4pHrhxy73EaW7ORK4fctbCfRntN8ciVQ+49TmNrNnLlkLsW9tNorykeuXLIvcdp\nbM1Grhxy18J+Gu01xSNXDrn3OI2t2ciVQ+5a2E+jvaZ45Moh9x6nsTUbuXLIXQv7abTXFI9c\nOeTe4zS2ZiNXrvtyf1BG+/RGYz+N9prikSvnk7vRotqara3ZyJV70KPU7si9Ae3TG439NNpr\nikeu3GNBu22eDe01RWNrNnLlfCD33NhPo72meOTKIfcep7E1G7lyProj94dktE9vNPbTaK8p\nHrlyj9QX9WGjRbU1W1uzkSv3kEep3ZF7w88MtE9vNPbTaK8pHrly/EC1x2lszUauXPd/oNqw\nfu3TG439NNprikeuHHLvcRpbs5Erh9y1sJ9Ge03xyJVD7j1OY2s2cuWQuxb202ivKR65csi9\nx2lszUauHHLXwn4a7TXFI1cOufc4ja3ZyJVD7lrYT6O9pnjkyiH3HqexNRu5cshdC/tptNcU\nj1w55N7jNLZmI1cOuWthP432muKRK4fce5zG1mzkyiF3Leyn0V5TPHLlkHuP09iajVw55K6F\n/TTaa4pHrhxy73EaW7ORK4fctbCfRntN8ciVQ+49TmNrNnLlkLsW9tNorykeuXLIvcdpbM1G\nrhxy18J+Gu01xSNXDrn3OI2t2ciVQ+5a2E+jvaZ45Moh9x6nsTUbuXLIXQv7abTXFI9cOeTe\n4zS2ZiNXDrlrYT+N9prikSuH3HucxtZs5Mohdy3sp9FeUzxy5ZB7j9PYmo1cOeSuhf002muK\nR64ccu9xGluzkSuH3LWwn0Z7TfHIlUPuPU5jazZy5ZC7FvbTaK8pHrlyyL3HaWzNRq4cctfC\nfhrtNcUjVw659ziNrdnIlUPuWthPo72meOTKIfcep7E1G7lyyF0L+2m01xSPXDnk3uM0tmYj\nVw65a2E/jfaa4pErh9x7nMbWbOTKIXct7KfRXlM8cuWQe4/T2JqNXDnkroX9NNprikeuHHLv\ncRpbs5Erh9y1sJ9Ge03xyJVD7j1OY2s2cuWQuxb202ivKR65csi9x2lszUauHHLXwn4a7TXF\nI1cOufc4ja3ZyJVD7lrYT6O9pnjkyiH3HqexNRu5cshdC/tptNcUj1w55N7jNLZmI1cOuWth\nP432muKRK4fce5zG1mzkyiF3Leyn0V5TPHLlkHuP09iajVw55K6F/TTaa4pHrhxy73EaW7OR\nK4fctbCfRntN8ciVQ+49TmNrNnLlkLsW9tNorykeuXLIvcdpbM1Grhxy18J+Gu01xSNXDrn3\nOI2t2ciVQ+5a2E+jvaZ45Moh9x6nsTUbuXLIXQv7abTXFI9cOeTe4zS2ZiNXDrlrYT+N9pri\nkSuH3HucxtZs5Mohdy3sp9FeUzxy5ZB7j9PYmo1cOeSuhf002muKR64ccu9xGluzkSuH3LWw\nn0Z7TfHIlUPuPU5jazZy5ZC7FvbTaK8pHrlyyL3HaWzNRq4cctfCfhrtNcUjVw659ziNrdnI\nlUPuWthPo72meOTKIfcep7E1G7lyyF0L+2m01xSPXDnk3uM0tmYjVw65a2E/jfaa4pErh9x7\nnMbWbOTKIXct7KfRXlM8cuWQe4/T2JqNXDnkroX9NNprikeuHHLvcRpbs5Erh9y1sJ9Ge03x\nyJVD7j1OY2s2cuWQuxb202ivKR65csi9x2lszUauHHLXwn4a7TXFI1cOufc4ja3ZyJVD7lrY\nT6O9pnjkyiH3HqexNRu5cshdC/tptNcUj1w55N7jNLZmI1cOuWthP432muKRK4fce5zG1mzk\nyiF3Leyn0V5TPHLlkHuP09iajVw55K6F/TTaa4pHrhxy73EaW7ORK4fctbCfRntN8ciVQ+49\nTmNrNnLlkLsW9tNorykeuXLIvcdpbM1Grhxy18J+Gu01xSNXDrn3OI2t2ciVQ+5a2E+jvaZ4\n5Moh9x6nsTUbuXLIXQv7abTXFI9cOeTe4zS2ZiNXDrlrYT+N9prikSuH3HucxtZs5Mohdy3s\np9FeUzxy5ZB7j9PYmo1cOeSuhf002muKR64ccu9xGluzkSuH3LWwn0Z7TfHIlUPuPU5jazZy\n5ZC7FvbTaK8pHrlyyL3HaWzNRq4cctfCfhrtNcUjVw659ziNrdnIlUPuWthPo72meOTKIfce\np7E1G7ly05P7ji+/7aDVy/c65sJvT+y89Z2H7rHiZes3bPMf17B+7dMbjf002muKR64ccu9x\nGluzkSs3Nbnfc7Qb8Y6RyrecOtq1323eAxvWr316o7GfRntN8ciVQ+49TmNrNnLlpiX3f9uj\nUPjqV60/bGnx8fU7Bvu2vrLYXnPSaYcXH3b32r1h/dqnNxr7abTXFI9cOeTe4zS2ZiNXbkpy\n33agc6s++Xix9d0TC5V/frDzPOdWfGJ7sXH3kc7ts8VzaMP6tU9vNPbTaK8pHrlyyL3HaWzN\nRq7clOS+wbmlNw03tx3i3KvKje8vd+7q4b5N+zh3iefQhvVrn95o7KfRXlM8cuWQe4/T2JqN\nXLkpyf0E51432i5Ev7z8HP5i544Y7bvCubU76g9tWL/26Y3GfhrtNcUjVw659ziNrdnIlZuS\n3F97yJ6fHm3f6Zwr/9mXO3flaN/DS53bWH9ow/q1T2809tNorykeuXLIvcdpbM1GrpzC69zv\nGsp9c/Hh7mrnUc5dXv/whvVrn95o7KfRXlM8cuWQe4/T2JqNXDkFuV/n3Krts7O3OLd8/J2Y\nc5w7o/7hDevXPr3R2E+jvaZ45Moh9x6nsTUbuXIKcl/v3BuKD1c7t/9452XOHVP/8Ib1a5/e\naOyn0V5TPHLlkHuP09iajVy56cv9ZueWfmN2oPNjx3s/5dy68a2Pv67iPVtltE9vNPbTaK8p\nHrlyj9YX22pRbc3W1mwaOudRcDa5P7Cvc+eUG+9z7qTx7uuc23N8a/3zKvZueD7t0xuN/TTa\na4pHrtxjQbttng3tNUVjazZy5XzkkvsPDnHu+MFlcKFz68f7b3Bu1fgWcu8bpsIg93mYSmNr\nNnLlfGSS+3fWOXfI5sHmBc6dMr7jeuRuLo32muKRK4fce5zG1mzkyvnII/cbVzt39Kbh9vxv\ny1zj3JrxrXe9tOLkx2W0T2809tNorykeuXKetzDdZrSotmZrazZy5R73aDiL3DcsK4Q+eg+Z\nj8z7geoG5w6oP6jhB8Lapzca+2m01xSPXDleLdPjNLZmI1duiq+W2XF++Xa/20c3r5n3+pji\n8/jj6w9rWL/26Y3GfhrtNcUjVw659ziNrdnIlZue3J84w7mlV4xv3+7cssr0s29y7sz64xrW\nr316o7GfRntN8ciVQ+49TmNrNnLlpib3HYW+V35hYsfWZc7dVd3a37kN9Qc2rF/79EZjP432\nmuKRK4fce5zG1mzkyk1N7u8p3H7rvD3HO3fZaPt+59z99Qc2rF/79EZjP432muKRK4fce5zG\n1mzkyk1L7jc4t/xf5+8qf4Y6enOZi5w7znNkw/q1T2809tNorykeuXLIvcdpbM1GrtyU5L5p\nL+euWrBv82rnPjbc/M4q5671HNqwfu3TG439NNprikeuHHLvcRpbs5ErNyW5X+DcCTvtvKL4\nbP7y8rWYt6x17ljP3+pA7r3AVBjkPg9TaWzNRq7cdOS+eaVz646Z4OPl3u2nOuf2ePX6A4sP\n+37Pd2zD+rVPbzT202ivKR65csi9x2lszUau3HTkfo9bwIWD3Y+ftXTu9tH3eo9tWL/26Y3G\nfhrtNcUjVw659ziNrdnIlVOV++zsnecdunrlutOv831PZha59wNTYZD7PEylsTUbuXIKf6wj\nkIb1a5/eaOyn0V5TPHLlkHuP09iajVw55K6F/TTaa4pHrhxy73EaW7ORK4fctbCfRntN8ciV\nQ+49TmNrNnLlkLsW9tNorykeuXLIvcdpbM1Grhxy18J+Gu01xSNXDrn3OI2t2ciVQ+5a2E+j\nvaZ45Moh9x6nsTUbuXLIXQv7abTXFI9cOeTe4zS2ZiNXDrlrYT+N9prikSuH3HucxtZs5Moh\ndy3sp9FeUzxy5ZB7j9PYmo1cOeSuhf002muKR64ccu9xGluzkSuH3LWwn0Z7TfHIlUPuPU5j\nazZy5ZC7FvbTaK8pHrlyyL3HaWzNRq4cctfCfhrtNcUjVw659ziNrdnIlUPuWthPo72meOTK\nIfcep7E1G7lyyF0L+2m01xSPXDnk3uM0tmYjVw65a2E/jfaa4pErh9x7nMbWbOTKIXct7KfR\nXlM8cuWQe4/T2JqNXDnkroX9NNprikeuHHLvcRpbs5Erh9y1sJ9Ge03xyJVD7j1OY2s2cuWQ\nuxb202ivKR65csi9x2lszUauHHLXwn4a7TXFI1cOufc4ja3ZyJVD7lrYT6O9pnjkyiH3Hqex\nNRu5cshdC/tptNcUj1w55N7jNLZmI1cOuWthP432muKRK4fce5zG1mzkyiF3Leyn0V5TPHLl\nkHuP09iajVw55K6F/TTaa4pHrhxy73EaW7ORK4fctbCfRntN8ciVQ+49TmNrNnLlkLsW9tNo\nrykeuXLIvcdpbM1Grhxy18J+Gu01xSNXDrn3OI2t2ciVQ+5a2E+jvaZ45Moh9x6nsTUbuXLI\nXQv7abTXFI9cOeTe4zS2ZiNXDrlrYT+N9prikSuH3HucxtZs5Mohdy3sp9FeUzxy5ZB7j9PY\nmo1cOeSuhf002muKR64ccu9xGluzkSuH3LWwn0Z7TfHIlUPuPU5jazZy5ZC7FvbTaK8pHrly\nyL3HaWzNRq4cctfCfhrtNcUjVw659ziNrdnIlUPuWthPo72meOTKIfcep7E1G7lyyF0L+2m0\n1xSPXDnk3uM0tmYjVw65a2E/jfaa4pErh9x7nMbWbOTKIXct7KfRXlM8cuWQe4/T2JqNXDnk\nroX9NNprikeuHHLvcRpbs5Erh9y1sJ9Ge03xyJVD7j1OY2s2cuWQuxb202ivKR65csi9x2ls\nzUauHHLXwn4a7TXFI1cOufc4ja3ZyJVD7lrYT6O9pnjkyiH3HqexNRu5cshdC/tptNcUj1w5\n5N7jNLZmI1cOuWthP432muKRK4fce5zG1mzkyiF3Leyn0V5TPHLlkHuP09iajVw55K6F/TTa\na4pHrhxy73EaW7ORK4fctbCfRntN8ciVQ+49TmNrNnLlkLsW9tNorykeuXLIvcdpbM1Grhxy\n18J+Gu01xSNXDrn3OI2t2ciVQ+5a2E+jvaZ45Moh9x6nsTUbuXLIXQv7abTXFI9cOeTe4zS2\nZiNXDrlrYT+N9prikSuH3HucxtZs5Mohdy3sp9FeUzxy5ZB7j9PYmo1cOeSuhf002muKR64c\ncu9xGluzkSuH3LWwn0Z7TfHIlUPuPU5jazZy5ZC7FvbTaK8pHrlyyL3HaWzNRq4cctfCfhrt\nNcUjVw659ziNrdnIlUPuWthPo72meOTKIfcep7E1G7lyyF0L+2m01xSPXDnk3uM0tmYjVw65\na2E/jfaa4pErh9x7nMbWbOTKIXct7KfRXlM8cuWQe4/T2JqNXDnkroX9NNprikeuHHLvcRpb\ns5Erh9y1sJ9Ge03xyJVD7j1OY2s2cuWQuxb202ivKR65csi9x2lszUauHHLXwn4a7TXFI1cO\nufc4ja3ZyJVD7lrYT6O9pnjkyiH3HqexNRu5ct2XewPapzca+2m01xSPXLnHgnbbPBvaa4rG\n1mzkyvlA7rmxn0Z7TfHIlUPuPU5jazZy5Xx0R+6bZLRPbzT202ivKR65clvqi/qI0aLamq2t\n2ciV2+RRanfk3vBtJe3TG439NNprikeuHN9z73EaW7ORK9f977k3rF/79EZjP432muKRK4fc\ne5zG1mzkyiF3Leyn0V5TPHLlkHuP09iajVw55K6F/TTaa4pHrhxy73EaW7ORK4fctbCfRntN\n8ciVQ+49TmNrNnLlkLsW9tNorykeuXLIvcdpbM1Grhxy18J+Gu01xSNXDrn3OI2t2ciVQ+5a\n2E+jvaZ45Moh9x6nsTUbuXLIXQv7abTXFI9cOeTe4zS2ZiNXDrlrYT+N9prikSuH3HucxtZs\n5Mohdy3sp9FeUzxy5ZB7j9PYmo1cOeSuhf002muKR64ccu9xGluzkSuH3LWwn0Z7TfHIlUPu\nPU5jazZy5ZC7FvbTaK8pHrlyyL3HaWzNRq4cctfCfhrtNcUjVw659ziNrdnIlUPuWthPo72m\neOTKIfcep7E1G7lyyF0L+2m01xSPXDnk3uM0tmYjVw65a2E/jfaa4pErh9x7nMbWbOTKIXct\n7KfRXlM8cuWQe4/T2JqNXDnkroX9NNprikeuHHLvcRpbs5Erh9y1sJ9Ge03xyJVD7j1OY2s2\ncuWQuxb202ivKR65csi9x2lszUauHHLXwn4a7TXFI1cOufc4ja3ZyJVD7lrYT6O9pnjkyiH3\nHqexNRu5cshdC/tptNcUj1w55N7jNLZmI1cOuWthP432muKRK4fce5zG1mzkyiF3Leyn0V5T\nPHLlkHuP09iajVw55K6F/TTaa4pHrhxy73EaW7ORK4fctbCfRntN8ciVQ+49TmNrNnLlkLsW\n9tNoryke+y91GAAAHohJREFUuXLIvcdpbM1Grhxy18J+Gu01xSNXDrn3OI2t2ciVQ+5a2E+j\nvaZ45Moh9x6nsTUbuXLIXQv7abTXFI9cOeTe4zS2ZiNXDrlrYT+N9prikSuH3HucxtZs5Moh\ndy3sp9FeUzxy5ZB7j9PYmo1cOeSuhf002muKR64ccu9xGluzkSuH3LWwn0Z7TfHIlUPuPU5j\nazZy5ZC7FvbTaK8pHrlyyL3HaWzNRq4cctfCfhrtNcUjVw659ziNrdnIlUPuWthPo72meOTK\nIfcep7E1G7lyyF0L+2m01xSPXDnk3uM0tmYjVw65a2E/jfaa4pErh9x7nMbWbOTKIXct7KfR\nXlM8cuWQe4/T2JqNXDnkroX9NNprikeuHHLvcRpbs5Erh9y1sJ9Ge03xyJVD7j1OY2s2cuWQ\nuxb202ivKR65csi9x2lszUauHHLXwn4a7TXFI1cOufc4ja3ZyJVD7lrYT6O9pnjkyiH3Hqex\nNRu5cshdC/tptNcUj1w55N7jNLZmI1cOuWthP432muKRK4fce5zG1mzkyiF3Leyn0V5TPHLl\nkHuP09iajVw55K6F/TTaa4pHrhxy73EaW7ORK4fctbCfRntN8ciVQ+49TmNrNnLlkLsW9tNo\nrykeuXLIvcdpbM1Grhxy18J+Gu01xSNXDrn3OI2t2ciVQ+5a2E+jvaZ45Moh9x6nsTUbuXLI\nXQv7abTXFI9cOeTe4zS2ZiNXDrlrYT+N9prikSuH3HucxtZs5Mohdy3sp9FeUzxy5ZB7j9PY\nmo1cOeSuhf002muKR64ccu9xGluzkSuH3LWwn0Z7TfHIlUPuPU5jazZy5ZC7FvbTaK8pHrly\nyL3HaWzNRq4cctfCfhrtNcUjVw659ziNrdnIlUPuWthPo72meOTKIfcep7E1G7lyyF0L+2m0\n1xSPXDnk3uM0tmYjVw65a2E/jfaa4pErh9x7nMbWbOTKIXct7KfRXlM8cuWQe4/T2JqNXDnk\nroX9NNprikeuHHLvcRpbs5Erh9y1sJ9Ge03xyJVD7j1OY2s2cuWQuxb202ivKR65csi9x2ls\nzUaunLLcb33noXuseNn6Ddv8D2lYv/bpjcZ+Gu01xSNXDrn3OI2t2ciVU5X7llPdHPvd5n1Q\nw/q1T2809tNorykeuXLIvcdpbM1Grpym3Le+stD6mpNOO7z4sLvX7g3r1z690dhPo72meOTK\nIfcep7E1G7lymnI/z7kVn9hebNx9pHP7bPE8qmH92qc3GvtptNcUj1w55N7jNLZmI1dOUe7f\nX+7c1cPNTfs4d4nnYQ3r1z690dhPo72meOTKIfcep7E1G7lyinK/2LkjRttXOLd2R/3DGtav\nfXqjsZ9Ge03xyJVD7j1OY2s2cuUU5f5y564cbT+81LmN9Q9rWL/26Y3GfhrtNcUjVw659ziN\nrdnIldOT+2bn3N3VraOcu7z+cQ3r1z690dhPo72meOTKIfcep7E1G7lyenK/xbnl4+/EnOPc\nGfWPa1i/9umNxn4a7TXFI1cOufc4ja3ZyJXTk/vVzu0/vnWZc8fUP65h/dqnNxr7abTXFI9c\nOeTe4zS2ZiNXTk/uhc6PHd/6lHPrxrc+fVbFpVtktE9vNPbTaK8pHrlyW+sLvdVoUW3N1tZs\n5Mr5Xl2eX+7vc+6k8a3rnNtzfGv98yr2bnga7dMbjf002muKR67cY0G7bZ4N7TVFY2s2cuV8\n5Jf7hc6tH9+6wblV41vIvW+YCoPc52Eqja3ZyJXzkV/uFzh3yvjW9bFyB5gycXIH6AjT/rbM\nNc6tGd964wsrDt6hxWAlav96akyF0U3jk7vagphtZ9GViEe9+eX+kXk/UN3g3AH1j2v4gXA+\nnij+8S1q/3piHixPZcPrOfrDQ2WaTVr/etyrZfLxo/Jf/6HWv56ah1Uv+tSUP9Pcrvave9Sb\nX+7XzHt9TPF5/PH1j1M7M8i9syD3SZB7d1mkcr/duWXbq1tvcu7M+sepnRnk3lmQ+yTIvbss\nUrlvXebcXdWt/Z3bUP84tTOD3DsLcp8EuXeXRSr32eOdu2y0fb9z7v76h6mdGeTeWZD7JMi9\nuyxWuZc/Qx39PPci547zPEztzCD3zoLcJ0Hu3WWxyn3zauc+Ntz8zirnrvU8TO3MIPfOgtwn\nQe7dZbHKvfwLHcsvf7zYuGWtc8f6XpSpdmaQe2dB7pMg9+6yaOW+/VTn3B6vXn9g8WHf7/ke\npXZmkHtnQe6TIPfusmjlPvv4WUvdkKPv9T5I7cwg986C3CdB7t1l8cp9dvbO8w5dvXLd6df5\nviczi9zTgNzTgdxzgtzT4VHqlOTeArUzg9w7C3KfBLl3F+QuonZmkHtnQe6TIPfugtxF1M4M\ncu8syH0S5N5dkLuI2plB7p0FuU+C3LsLchdROzPIvbMg90mQe3dB7iJqZwa5dxbkPgly7y7I\nXUTtzCD3zoLcJ0Hu3QW5i6idGeTeWZD7JMi9uyB3EbUzg9w7C3KfBLl3F+QuonZmkHtnQe6T\nIPfugtxF1M4Mcu8syH0S5N5dkLuI2plB7p0FuU+C3LsLchdROzPIvbMg90mQe3dB7iJqZwa5\ndxbkPgly7y7IXUTtzCD3zoLcJ0Hu3QW5i6idGeTeWZD7JMi9uyB3EbUzg9w7C3KfBLl3F+Qu\n8rAWH7rwwgtvUPvXE7OpCHPhLdqrSMV9ZZpvaf3r2+qLuk1rPXeWZ+N+rX89NTeVabQXkYzP\nF2EuUfvXPUrtjtzV+KvnPe95Z2kvIhVbijDPu1x7Fam4q0zzJe1VdIXPlWfjO9qrSMUHyzTC\nn93sF28qwjjtRSwEuSP37oLcJ0Hu3QW5dxPk3lmQ+yTIvbsg926C3DsLcp8EuXcX5N5NkHtn\nQe6TIPfugty7CXLvLMh9EuTeXZB7N0HunQW5T4Lcuwty7ybIvbMg90mQe3dB7t0EuXcW5D4J\ncu8uyL2bIPfOgtwnQe7dBbl3k91e+MIXvkt7EanYWoR54ZXaq0jFt8o0/6q9iq7whfJs3Ke9\nilRcVqYxI/czizB7ai9iIcgdAMAgyB0AwCDIHQDAIMgdAMAgyB0AwCDIHQDAIMgdAMAgyB0A\nwCCLVu5fdm6N7773Onda+fFC594wvRV5+Khzxy3c14mFwXSgqRCHabkf5pz7R899nbxktt/y\n3mMPeMnyNYe96apNo32WLpknbvvgqw7ac9lL1r76wpu3ay+mS9DUbmGjqJbl/o3iinEv99zZ\nwUtmx7UHuIoV524e7k1wyTz0oQ914fe8d3zu4HE+t+7q8GfoSJDk0NQ5ujFgK0W1LPczB7O5\no/7ONpfMj7///U2+x6Tnkb8frHe3lx2012DjZRsHu+sumcCFXedcBz79ePjkQazl+xy8dulg\n67THQp+iG0HSQ1Pn6MSAzRTVsNwfWeVc8eXumfX3trlkpsrmlxc1WvW+O8v/8X+w4ZDixupv\nlfvrLplALuxC1TaVkfb84F1lvm23nrOivGhCP7vpRJD00NQRXRiwnaIalvsG5w68vmjhltp7\nO3fJnFqU6DU/HN3a/oHi5sGPzia5ZI7vQNV2vKYIdPrm6va9pSH+KfBJuhAkAzR1RAcGbKio\nhuV+lHMfeHR3566qvbdrl8zVRYVOeXxix8XFjo/Mprhknti9A1X7RBHnLZOfAG16aTGBR4Ke\noxNBMkBT5+jCgA0V1a7c7yqG9O3ZM5w7ZnLvl9+wdsVLj77kh5OXzI4vv/3g1SvWHnvp9+d2\n1PyYaqfHJGZH8bXg3psn92w/ePnJ180OLpkTZmfveNvBq1YdeM63h/eNFlYs9OLZ2Y1vWbt8\n1UFn/dvoyAcuffW+K5fvedR5g2/iXjH6wdA7Bsd9aPa+1++520WDB37vgyfus3L5Xse9fxTq\nbOfeP7vjc69dt2LNUZck/SbuE/s7d8DWebtuOOaSb43z18xgQbTJIOX5ueaNB6zebZ9j3nv3\n+Cnr9nUfmtqhploqql25n+PcEbOzXy3O8fgEbj997rSvuXl8ydx35GgYKz883LPzJbPzYxJz\nY/HUH5+/67vDK6i4ZF694wNz//qya2YnF/Yh5y7Y8Z65+5bP/VT/4yurH/S/fsv8qhVPc9GD\nxScirvzLUzs+uHx0125XDA99t3PnPvLauZ0vvSVhvi8VT/gZ/907n9+do82/Zm7bf3Rz6Zmj\nn3fV7esBNLVDTbVUVLNy3/oS54oi7NjPuXdXO88qTufBF/3jxSe4VR8fXTLfWV1U5tT3fezd\nBxV3XjjYtdMlU/OYxJxftKX+S7/ikjn1/W7Fa9993nFlue+dXNiHnTvnYrdy/fnnHV/ct2Jw\n37XF1rqzPvShd5Yv51pfrP3TRf3c1Z/+dPHZ0SXFJVGeg8ElU341vebNF138tvIlD8PLrXje\nt53mXnLa+e84qti3+t50+c51bo9t3ntrzu/O0SaDzN5ceGHl6Zf+40WHF/tOHn4VXbevB9DU\nLjXVUlHNyv2fiyn8qPj4waIXo/8cNxbn8pzB98JuWrXH3CXzePFV5mHfK7d2fKS4+6vl1sJL\npu4xiTnauRPr7ykumUOXnvAf5ea/Fp/AXDC5sMudO2r5qx4oN29c5tx7yo0Dys8kBkdeV3To\n5tnhl/3D7wBe5twbVx7wla2PFl/IPlg82WmDb51ufU3xyc+g0Bc5t69b/+PBwcXdr0+X77DB\n5euh7vzWRRsHeXhf544c3Dn7T0ud+5hvXx+gqV1qqqWimpX7MXOt+n5x+q6b2/dW5w6Y+zlH\n+VOhwSXzKef2HP3kv/j6+Kjy48JLpu4xiSnafVH9PR91cy9GGAY4anJhk/e9yblXFB8eKL42\nHH3mcZnbq/xb2eOqFY9ftddckivHn4E9UJyjG8uNIrg7YO7o4gvjpQ8ky7e8/B6qj7rzWxNt\n/rW/6oHxES/d7tnXB2hql5pqqahW5f7vxekd/mXlk5w7abhvx57OXTZ3/4595i6ZI527ZHRQ\nWZ3yDxAvvGTqHpOWR4vlev6sdVme6+e2iwt99eTCyvtGPiiKt0fx4e7iShh9obdt+IOheZdM\ndQY23XHD6GlnD537/KG8ZD45un+p7+UbETzipCerO7810SaCFF8Vnzc64t5i75c9+3oATZ3t\nUFNNFdWq3M9z7mVPDLY+V/y/fv9g677iRG4cPeDtw0vm4WJE/14dVQxvw+xOl0ztY9JSfBbj\nrqm/qyjPitEnOF8tsuyYnXfJLJ/7pKH8QdfS4sPmpTv9vGv+JfPdmn/jxPK1B7PDS+ZHo53F\nF6jvjM2zkO8XT/x5352157cm2jjIQ274ZfyQAwarr9vXB2jqGP2mmiqqUblv26M6Z9v2HLxW\nqeBfirP649EjPja8ZG4u9j1aHfaW4f+pCy6Z2sek5QfVT4p24qMT7zpy21xpJi6ZQxbed0r5\n06kbJn8mNO+SWTnvyTfd+bUbC4qevre8WQRfW933eude85OlGlMq4bPVrb3diMGL/2rPb120\nKkhxEbmHqiNOde7U+n09gKZOPIN+U00V1ajcr5n4j7/61Kj4UnF59Yhrh5fMdW4B5Y9mFlwy\ntY9Jy2PFs360/q6iPMeOtr++8yXzyoX3/bD8Qb5bceIlG0df8867ZNaNn/nbZ+4zzjS6ZMa/\nhnKuc0cnCTc7/GJ+/Ft+C66Z2vNbF60KUox32fjJzxk8tG5fD6CpnWqqqaIalftxg9+nGPKt\n4kx/pdy4cu77gAO+OLxkNiycV/ldzwWXTO1jErPK+5Xl5O/91VwyO903+/D7Vg+Xufb9w9cf\nz7tkXlE98UeWTmYaXTJ/X91/4cSnJD8xq+ZePTHgsL0HrJ67ZmrPb120KsjHJyc5e4Fzh9bv\n6wE0tVtNtVRUm3L/zsIpvK7cO++SuX54yXzSud0+NEn5JeeCS6b2MYk5wbnD6u8JvmRmZx+5\n5vQ9BrH3/Fp5c94lUz3+n4u9B2+4+6HynpPGl8wp1T98YcranVDzCcq1c9dM7fkNu2YOq9/X\nfWhqx5pqqag25X7BwktmeflNrk8Vs6ke8unqi91lOx2+8xe7Oz8mMe9zbunClzYMv1iNuGQK\nnvjGP5S/S7fbPbOeS2b7S5171ej7na8eXzLj1zCfO/nJ00/KB4oZPLhg37Xjr3Z3Pr/iNfOZ\nuR9cDTln8NC6fd2HpnasqZaKalLuj60p/itfP2b58I2NvlCc8odHj/ng8JIpfwTyg4XHL7hk\nah+TmDvcTj/9+v5+Hy7fJjDukim5ac3wE8HaS+aWYmf1Hh+Hji+Z8adAr5/85OgnpVzDxQv2\nja6Z2vMrXjM3FRvV2xLOrh9887NuX+ehqQM61FRLRTUp988Vp++bE7ff4NxBs4MX1ro7R/tO\nHV4yW5Y69y8Lj19wydQ+JjWvKD5j+Oa8PScXq97xk1wys58dfgFYe8l8euKLw4eWji+Z5dV7\nXRw++evwPzHHO7dywS+Jj66Z2vMrXjOb3ei14SX7OXdp/b7OQ1OHdKiphopqUu4nLvjp+Y3F\n6byt+DRppXOXz+3auvvcr4Yc49ybxw+8Z/Bh4a+G1D0mNeWr3w6e+LRgx7vd8Of2gZfMtrs+\nXb1ZxT3DF13UXjIbnNtr9LjiK+3qkql+pWLzMuc+ly7fzcWFccSPJvfseNfofRDrzq94zZSv\nbD57dO+/Dadbu6/r0NQhHWqqoaJalPt9C39jbcc65946O/gc6MC5N6IevBdRuXGVc0vvmnvc\nPbu5A8qXFy+8ZOoek5zyT63tX/3myra3FzdPKssfeMkcNv4twfId7srXk33TjX7hY+LxXyx2\nzr1V6u3Llzt3brlVXjKj125cVlxv8zr+E1Iq4JDxW6fO3l3+rbbhqznqzm9d7HGQ8jfSR++5\n+qbCNb59HYemztGlptopqkW5X7TTH7W5ZPjuFOXnHG8pfzSz4xNLR7/U/djLndv764NH3Vbs\nO6PcWHjJ1D0mOVtPKFa39IyvlOt78J/K9wQ9bPD6sMBL5vLii9i5Lx2/e+Dwneu+50a/ID3x\n+E3LR+83fd2qw86f+9SkCL7GvXvwOcfXVnr/7lscj60v873txsEX0w9ctb58edsrht97rDu/\ndbHHQbYWEjx88HOvHcVsh5Ko29dxaOpwT6eaaqeoBuVe/nT9nPm7Hiy+cPtE8bH8P3jfMy86\n60C38tOjN1L99zXFKE9476XnHl3cuXbwq2M7vZFqzWPSs234Ft5L9zpgzWDjpJ0+h2n1xW75\n0oN1b7vo4nOPLVq5tvzcYsea8n1K37J+/uPLT7iOv2zD+w5zq775mWL77Vf9exn8jL93B1xw\n5WWnFWds74WvGvjJeOLcQaxl+xz6st0GW8vfP/p7PjXnty72OMjs7bsXXnzrR6+8oHy72Lmf\n79Xt6zQ0tZNNNVNUg3K/vjhjdy3Yd4pzRxYfHjnBDVn15bude8nwvnuOciNOHJZk5z+BsPNj\ncvClg6t/xe1z1dw3JEN/TLXp5PGTHDt4/9Xy08Hh1/aTj3/kFXMP2vuu2UfLP4vgPlUGP33T\nq+b2r114En9ibj92vDS36h3fG9+z8/mt/QlcFWR29q6DRgesHL3BVO2+LkNTO9pUI0U1KPfX\nDC+PeZRf5pY/4d9x7fp9d9vryA8+MPvDuXc2Knf+y9sPXr1sj8Pfcevco+v+eNnCx2Thidve\nd9wBL1m+15HnfKl6OUH4axBufefRa5YvX3PkOaO3J9px+QHLVx989vzHz2678tg9lu1x7D+V\nb8j3nVetXH3MHWXw188+ce0p+61Yc/RlOb5fe/flf3/oS5fv/rIT3n3Do/Pu2On81karghRs\nv/aN+69ase+JHx6/rKx2X4ehqZ1tqomiGpQ7RKPx95YBwqGpLUDuMIZLBvoBTW0BcocxXDLQ\nD2hqC5A7jOGSgX5AU1uA3GEMlwz0A5raAuQOY7hkoB/Q1BYgdxjDJQP9gKa2ALnDGC4Z6Ac0\ntQXIHQDAIMgdAMAgyB0AwCDIHQDAIMgdAMAgyB0AwCDIHQDAIMgdAMAgyB0AwCDIHSCWX1qy\nZMn3mh8GoAFyB4gFuUOHQe4AsSB36DDIHSCWZz71qU/9D+1FANSD3AEADILcAQAMgtwBAAyC\n3AEADILcAQAMgtzBMjtueOWLdvnFJ//C0/7XSTeO9j2+ZMmS3yw+3nT4c3/pp3/9vx/y+flH\nfOKIP/rNp/zyM1/4xjvnP9WPz1/x337tZ37j+cd8tdo1/6WQniPrlgCQH+QOhvnqC5aMedE3\n5/b+zJIlPz/7+MurO1Y+OD7iH581PuClEy9z3HH2L1f7//a+uZ3z5O45sn4JANlB7mCXz/zn\nJZP80teGu3+x2H7ipRN3/Pcfj4541bwDfuOO0f7HV0/u//Xbhnsn5e450rMEgOwgdzDL5plC\np0973We/ec/NVxxQfuL9u48N9v9asXleofS3fe6Wz775d0vn7jV3xJvLG89/zze3PPilk3+l\n2Pyte+fuOLS848XnXf2Fjxz0c8XWzA8Heyfk7jnStwSA7CB3MMv5hUz/ePPcjfv/sLh10WDz\nN4qtX1ly/I7BjYf/trj1U7cMtv/1p4vtk58YHnDf/1vc2GO4fU2x+eSLh9u3lo4+eLA5lrvv\nSN8SALKD3MEsawqXfry6dedPLVmyfLD11PKz7KWj/Q/938WtAweby4ut/asDvv1fipv/Otj8\n02Jr/Wj/5cWNnx18U30sd9+RviUAZAe5g1leXJj15vHNj3327u2DjYHcN1b7Tym/c1JulO79\nxR+ODziuuOOYcuPW8rvlm6v9u44+Aa/k7j3StwSA7CB3MMtuhVkvrNlfyv1PxjdvKV3/78XG\n6cXHNROPu6m4/Tuzc3fsPt5/yRvO/+hd5UYld++RviUAZAe5g1leW76w5cs773/q5DdZZmef\n+IXi9qeKjf9TfHzXxON2lPJ+aO6Ot9b8A5XcvUf6lgCQHeQOZrn358ufg+7+jw8v2F/K/aMT\nt59d3H5H8fF3io9XTT7wj4odXyg+PrP4+LGaf6CSu/dI3xIAsoPcwS6XPnnw4vKf+fPXfG7b\nxO5S7l+ZuP2i4vZpxcefXVLDJcUdpaG/WPP8ldy9R/qWAJAd5A6Gufq3R6b9z3t8fMdobyn3\nyV8V/bvi9omzs9vqDL3k/NnZJ5bM/7FoxUju3iO9SwDIDnIHyzx6wZ8+aSTXP7hmbmcp9+9M\nPKj8qecxs7NbaxX91rk7vl7z7CO5e4/0LgEgO8gdjPPA+9f8+lCtTz57uGfhZ+7lrzGdNDt4\nz5klV9y1gPLHoqWc6970q/q2jPdI3xIAsoPcwT47bnzdcwduHb4B5FMXfJflRcXtNxQff7X4\n+Lm648vfSbq2Zn8ld++RviUAZAe5w+LgU7sUZv2jwWYp909N3PV7xe33FB+fU3y8uO7Y8gHv\nq9lfyd17pG8JANlB7rBI+MZPj77VXsr97eM7dpTvEnldsbFv8fG4ukNXee6o5O490rcEgOwg\nd1gsvLAw6/XlRin3VeP9Xy+/W1K+V8w5xcffrzvyjfM/4/7QC17wgvKlk2O5e4/0LQEgO8gd\nrHLH+Ye+ePK15eWvkQ7ezauU+8+P3yqmVPd/KzfuK1+T/oXxAdt3f8PwW/PfLPU/fif2ZcWt\nwQ9GK7n7jvQuASA7yB2scnJh0rPGNx//zSVLnvSDcmvwxmEnjPY/8rTqVmnt5z9aHXFGcfOQ\nwdafFFt/PXqR+q0/vWTJk79bbo3fFdJzpHcJANlB7mCVO560ZMlTLhnd2l7+vY0XDzZLuf/c\nkz803P94+SeZnjL80xq3PKXYXrpp7oizi+OfPPzU/fPlfwcHDf/Oxp3ln/fYd7A5lrvnSO8S\nALKD3MEsB5dK/tO3ffbOu2++5s3lC1qe/C+D/aXcT1yyZOWV92255yPlJ+VLjp074k3ljV1O\n+/J999983vPL7VfN3TH4S0zPeP2V1126/38qtn7z/sHeib/E5DnStwSA7CB3MMujfzX/V0af\nNHxDgIHcv/e/Ju74y8dHh5w2/4h1c39bafaJvSZ3//rcq+Qn/4Zq/ZG+JQBkB7mDXbaf8l8m\nxPrc0a8ZlXK/f8u+1R37PzI+5BPPGR+wy8RL13ec/8vV/r+7b27npNw9R3qWAJAd5A6W+dH7\n933+b/zck35x1xcfO35bx1LuhZ+/8Zr/sctTfu0PDp//xgJPXHX083f5Tz/71OcdfOX8P5q0\n6QMrfu9Xf+bX//CY8duzz5O778jaJQBkB7nDoqOU+z3aiwDIDHKHRQdyh8UAcodFB3KHxQBy\nh0UHcofFAHKHRQdyh8UAcodFB3KHxQByh0UHcofFAHKHRQdyh8UAcodFB3KHxQByh0UHcofF\nAHIHADAIcgcAMAhyBwAwCHIHADAIcgcAMAhyBwAwCHIHADAIcgcAMAhyBwAwCHIHADAIcgcA\nMAhyBwAwCHIHADAIcgcAMAhyBwAwCHIHADAIcgcAMAhyBwAwCHIHADAIcgcAMAhyBwAwyP8P\nPbDfIzOLHNkAAAAASUVORK5CYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 450,
       "width": 750
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "options(repr.plot.width = 5, repr.plot.height = 3, repr.plot.res = 300) \n",
    "\n",
    "p = ggplot(df_counts, aes(x = species, y = n))\n",
    "\n",
    "p = p + geom_col()\n",
    "\n",
    "p = p + facet_wrap(~sex)\n",
    "\n",
    "p"
   ]
  }
 ],
 "metadata": {
  "celltoolbar": "Slideshow",
  "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": "3.6.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}