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README.html
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README.html
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<!DOCTYPE html>
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta charset="utf-8">
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<meta name="generator" content="pandoc" />
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background-color: #f8f8f8;
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box-sizing: content-box;
background-color: #fff;
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padding-top: 0.2em;
padding-bottom: 0.2em;
margin: 0;
font-size: 85%;
background-color: rgba(0,0,0,0.04);
border-radius: 3px;
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overflow: auto;
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word-break: normal;
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border: solid 1px #ccc;
border-bottom-color: #bbb;
border-radius: 3px;
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<body>
<h1 id="project-2---pokemon-api">Project 2 - Pokemon API</h1>
<p>Yi Ren and Paula Bailey 2022-10-14</p>
<ul>
<li>This document will walk the user through the process of connecting
to & collecting data from the <a href="https://pokeapi.co/">pokemon
API</a> within R.</li>
</ul>
<h2 id="reference-to-render-code">Reference to Render Code</h2>
<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a>rmarkdown<span class="sc">::</span><span class="fu">render</span>(<span class="st">"Project2.Rmd"</span>, <span class="st">"github_document"</span>,<span class="st">"README.md"</span>)</span></code></pre></div>
<h2 id="packages-for-vignette">Packages for Vignette</h2>
<ul>
<li>The following packages are required for connecting and retrieving
data from the API.</li>
</ul>
<ol style="list-style-type: decimal">
<li><code>httr</code> - Retrieves Data from an API</li>
<li><code>jsonlite</code> - Parses Results from an API Query</li>
<li><code>dplyr</code> - A part of the <code>tidyverse</code> used for
manipulating data</li>
<li><code>tidyr</code> - A part of the <code>tidyverse</code> used for
data cleaning</li>
<li><code>ggplot2</code> - A part of the <code>tidyverse</code> used for
creating graphics</li>
</ol>
<div class="sourceCode" id="cb2"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb2-1"><a href="#cb2-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Read in Required Packages </span></span>
<span id="cb2-2"><a href="#cb2-2" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(httr)</span>
<span id="cb2-3"><a href="#cb2-3" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(jsonlite)</span>
<span id="cb2-4"><a href="#cb2-4" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(tidyverse)</span>
<span id="cb2-5"><a href="#cb2-5" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(ggplot2)</span></code></pre></div>
<h1 id="create-functions">Create functions</h1>
<ul>
<li>First, we creates functions for users to easily look up pokemon by
its id or name. Then we proceed to obtain the related basic, training,
base stats and moves information. Lastly, we wrapped all functions as a
combined function to effectively track the desired data
information.</li>
</ul>
<h2 id="id_1-function-for-look-up-by-id">1. Function for look up by
id</h2>
<div class="sourceCode" id="cb3"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb3-1"><a href="#cb3-1" aria-hidden="true" tabindex="-1"></a>lookid<span class="ot"><-</span><span class="cf">function</span>(id){</span>
<span id="cb3-2"><a href="#cb3-2" aria-hidden="true" tabindex="-1"></a> base<span class="ot"><-</span><span class="st">"https://pokeapi.co/api/v2/pokemon-species/"</span></span>
<span id="cb3-3"><a href="#cb3-3" aria-hidden="true" tabindex="-1"></a> url<span class="ot"><-</span>(<span class="fu">paste0</span>(base,id,<span class="st">"/"</span>))</span>
<span id="cb3-4"><a href="#cb3-4" aria-hidden="true" tabindex="-1"></a> pokemon_api<span class="ot"><-</span><span class="fu">GET</span>(url) <span class="sc">%>%</span> <span class="fu">content</span>(<span class="st">"text"</span>) <span class="sc">%>%</span> <span class="fu">fromJSON</span>(<span class="at">flatten=</span><span class="cn">TRUE</span>)</span>
<span id="cb3-5"><a href="#cb3-5" aria-hidden="true" tabindex="-1"></a> pokemon<span class="ot"><-</span>pokemon_api[[<span class="st">"name"</span>]]</span>
<span id="cb3-6"><a href="#cb3-6" aria-hidden="true" tabindex="-1"></a> <span class="fu">return</span>(pokemon)</span>
<span id="cb3-7"><a href="#cb3-7" aria-hidden="true" tabindex="-1"></a>}</span></code></pre></div>
<h2 id="id_2-function-for-look-up-by-name">2. Function for look up by
name</h2>
<div class="sourceCode" id="cb4"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb4-1"><a href="#cb4-1" aria-hidden="true" tabindex="-1"></a>lookname<span class="ot"><-</span><span class="cf">function</span>(pokemon){</span>
<span id="cb4-2"><a href="#cb4-2" aria-hidden="true" tabindex="-1"></a> base<span class="ot"><-</span><span class="st">"https://pokeapi.co/api/v2/pokemon/"</span></span>
<span id="cb4-3"><a href="#cb4-3" aria-hidden="true" tabindex="-1"></a> url<span class="ot"><-</span><span class="fu">tolower</span>((<span class="fu">paste0</span>(base,pokemon,<span class="st">"/"</span>)))</span>
<span id="cb4-4"><a href="#cb4-4" aria-hidden="true" tabindex="-1"></a> pokemon_api<span class="ot"><<-</span><span class="fu">GET</span>(url) <span class="sc">%>%</span> <span class="fu">content</span>(<span class="st">"text"</span>) <span class="sc">%>%</span> <span class="fu">fromJSON</span>(<span class="at">flatten=</span><span class="cn">TRUE</span>)</span>
<span id="cb4-5"><a href="#cb4-5" aria-hidden="true" tabindex="-1"></a> <span class="fu">return</span>(pokemon_api)</span>
<span id="cb4-6"><a href="#cb4-6" aria-hidden="true" tabindex="-1"></a>}</span></code></pre></div>
<h2 id="id_3-function-for-basic-information">3. Function for basic
information</h2>
<div class="sourceCode" id="cb5"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb5-1"><a href="#cb5-1" aria-hidden="true" tabindex="-1"></a>basic<span class="ot"><-</span><span class="cf">function</span>(pokemon_api){</span>
<span id="cb5-2"><a href="#cb5-2" aria-hidden="true" tabindex="-1"></a> species_api<span class="ot"><-</span><span class="fu">GET</span>(pokemon_api[[<span class="st">"species"</span>]][[<span class="st">"url"</span>]]) <span class="sc">%>%</span> <span class="fu">content</span>(<span class="st">"text"</span>) <span class="sc">%>%</span> <span class="fu">fromJSON</span>(<span class="at">flatten=</span><span class="cn">TRUE</span>)</span>
<span id="cb5-3"><a href="#cb5-3" aria-hidden="true" tabindex="-1"></a> <span class="cf">if</span> (<span class="fu">length</span>(pokemon_api[[<span class="st">"types"</span>]][[<span class="st">"type.name"</span>]]) <span class="sc">></span><span class="dv">1</span>) {</span>
<span id="cb5-4"><a href="#cb5-4" aria-hidden="true" tabindex="-1"></a> type<span class="ot">=</span><span class="fu">paste</span>(pokemon_api[[<span class="st">"types"</span>]][[<span class="st">"type.name"</span>]], <span class="at">collapse =</span> <span class="st">'/'</span>)</span>
<span id="cb5-5"><a href="#cb5-5" aria-hidden="true" tabindex="-1"></a> } <span class="cf">else</span>{</span>
<span id="cb5-6"><a href="#cb5-6" aria-hidden="true" tabindex="-1"></a> type<span class="ot">=</span>pokemon_api[[<span class="st">"types"</span>]][[<span class="st">"type.name"</span>]]</span>
<span id="cb5-7"><a href="#cb5-7" aria-hidden="true" tabindex="-1"></a> }</span>
<span id="cb5-8"><a href="#cb5-8" aria-hidden="true" tabindex="-1"></a> basic<span class="ot"><-</span><span class="fu">data.frame</span>(<span class="at">id=</span>pokemon_api[[<span class="st">"id"</span>]], <span class="at">name=</span>pokemon_api[[<span class="st">"name"</span>]], <span class="at">type=</span>type, <span class="at">height=</span>pokemon_api[[<span class="st">"height"</span>]], <span class="at">weight=</span>pokemon_api[[<span class="st">"weight"</span>]], <span class="at">habitat=</span>species_api[[<span class="st">"habitat"</span>]][[<span class="st">"name"</span>]], <span class="at">shape=</span>species_api[[<span class="st">"shape"</span>]][[<span class="st">"name"</span>]], <span class="at">color=</span>species_api[[<span class="st">"color"</span>]][[<span class="st">"name"</span>]])</span>
<span id="cb5-9"><a href="#cb5-9" aria-hidden="true" tabindex="-1"></a> <span class="fu">return</span>(basic)</span>
<span id="cb5-10"><a href="#cb5-10" aria-hidden="true" tabindex="-1"></a>}</span></code></pre></div>
<h2 id="id_4-function-for-training-information">4. Function for training
information</h2>
<div class="sourceCode" id="cb6"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb6-1"><a href="#cb6-1" aria-hidden="true" tabindex="-1"></a>traning<span class="ot"><-</span><span class="cf">function</span>(pokemon_api){</span>
<span id="cb6-2"><a href="#cb6-2" aria-hidden="true" tabindex="-1"></a> species_api<span class="ot"><-</span><span class="fu">GET</span>(pokemon_api[[<span class="st">"species"</span>]][[<span class="st">"url"</span>]]) <span class="sc">%>%</span> <span class="fu">content</span>(<span class="st">"text"</span>) <span class="sc">%>%</span> <span class="fu">fromJSON</span>(<span class="at">flatten=</span><span class="cn">TRUE</span>)</span>
<span id="cb6-3"><a href="#cb6-3" aria-hidden="true" tabindex="-1"></a> traning<span class="ot"><-</span><span class="fu">data.frame</span>(<span class="at">base_happiness=</span>species_api[[<span class="st">"base_happiness"</span>]], <span class="at">capture_rate=</span>species_api[[<span class="st">"capture_rate"</span>]],<span class="at">growth_rate=</span>species_api[[<span class="st">"growth_rate"</span>]][[<span class="st">"name"</span>]],<span class="at">gender_rate=</span>species_api[[<span class="st">"gender_rate"</span>]])</span>
<span id="cb6-4"><a href="#cb6-4" aria-hidden="true" tabindex="-1"></a> <span class="fu">return</span>(traning)</span>
<span id="cb6-5"><a href="#cb6-5" aria-hidden="true" tabindex="-1"></a>}</span></code></pre></div>
<h2 id="id_5-function-for-base-stats">5. Function for base stats</h2>
<div class="sourceCode" id="cb7"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb7-1"><a href="#cb7-1" aria-hidden="true" tabindex="-1"></a>stats<span class="ot"><-</span><span class="cf">function</span>(pokemon_api){</span>
<span id="cb7-2"><a href="#cb7-2" aria-hidden="true" tabindex="-1"></a> stats<span class="ot"><-</span>pokemon_api[[<span class="st">"stats"</span>]] <span class="sc">%>%</span> <span class="fu">select</span>(stat.name,base_stat) <span class="sc">%>%</span> <span class="fu">pivot_wider</span>(<span class="at">names_from =</span> <span class="st">"stat.name"</span>, <span class="at">values_from =</span> <span class="st">"base_stat"</span>) </span>
<span id="cb7-3"><a href="#cb7-3" aria-hidden="true" tabindex="-1"></a> <span class="fu">return</span>(stats)</span>
<span id="cb7-4"><a href="#cb7-4" aria-hidden="true" tabindex="-1"></a>}</span></code></pre></div>
<h2 id="id_6-function-for-moves-information">6. Function for moves
information</h2>
<div class="sourceCode" id="cb8"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb8-1"><a href="#cb8-1" aria-hidden="true" tabindex="-1"></a>get_moves <span class="ot"><-</span> <span class="cf">function</span>(type){</span>
<span id="cb8-2"><a href="#cb8-2" aria-hidden="true" tabindex="-1"></a> base<span class="ot"><-</span><span class="st">"https://pokeapi.co/api/v2/move/"</span></span>
<span id="cb8-3"><a href="#cb8-3" aria-hidden="true" tabindex="-1"></a> url<span class="ot"><-</span>(<span class="fu">paste0</span>(base,type,<span class="st">"/"</span>))</span>
<span id="cb8-4"><a href="#cb8-4" aria-hidden="true" tabindex="-1"></a> move_api<span class="ot"><-</span><span class="fu">GET</span>(url) <span class="sc">%>%</span> <span class="fu">content</span>(<span class="st">"text"</span>) <span class="sc">%>%</span> <span class="fu">fromJSON</span>(<span class="at">flatten=</span><span class="cn">TRUE</span>)</span>
<span id="cb8-5"><a href="#cb8-5" aria-hidden="true" tabindex="-1"></a> moves <span class="ot"><-</span> <span class="fu">tibble</span>(<span class="at">idMove =</span>move_api[[<span class="st">"id"</span>]],</span>
<span id="cb8-6"><a href="#cb8-6" aria-hidden="true" tabindex="-1"></a> <span class="at">nameMove=</span>move_api[[<span class="st">"name"</span>]],</span>
<span id="cb8-7"><a href="#cb8-7" aria-hidden="true" tabindex="-1"></a> <span class="at">accuracy =</span> move_api[[<span class="st">"accuracy"</span>]],</span>
<span id="cb8-8"><a href="#cb8-8" aria-hidden="true" tabindex="-1"></a> <span class="at">power =</span> move_api[[<span class="st">"power"</span>]],</span>
<span id="cb8-9"><a href="#cb8-9" aria-hidden="true" tabindex="-1"></a> <span class="at">PowerPoint =</span> move_api[[<span class="st">"pp"</span>]])</span>
<span id="cb8-10"><a href="#cb8-10" aria-hidden="true" tabindex="-1"></a> <span class="fu">return</span>(moves)</span>
<span id="cb8-11"><a href="#cb8-11" aria-hidden="true" tabindex="-1"></a>}</span></code></pre></div>
<h2 id="id_7-function-to-get-your-pokemon">7. Function to get your
pokemon</h2>
<div class="sourceCode" id="cb9"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb9-1"><a href="#cb9-1" aria-hidden="true" tabindex="-1"></a>get_pokemon <span class="ot"><-</span> <span class="cf">function</span>(<span class="at">pokemon =</span> <span class="dv">132</span>, <span class="at">tran =</span> <span class="dv">1</span>, <span class="at">stat =</span> <span class="dv">1</span>, <span class="at">move =</span> <span class="dv">1</span>, <span class="at">berry =</span> <span class="dv">0</span>){</span>
<span id="cb9-2"><a href="#cb9-2" aria-hidden="true" tabindex="-1"></a> poke_One<span class="ot"><-</span><span class="cn">NULL</span></span>
<span id="cb9-3"><a href="#cb9-3" aria-hidden="true" tabindex="-1"></a> </span>
<span id="cb9-4"><a href="#cb9-4" aria-hidden="true" tabindex="-1"></a> <span class="cf">if</span> (<span class="fu">is.numeric</span>(pokemon) <span class="sc">==</span> <span class="st">"TRUE"</span>){</span>
<span id="cb9-5"><a href="#cb9-5" aria-hidden="true" tabindex="-1"></a> pokemon_mini<span class="ot"><-</span><span class="fu">lookname</span>(<span class="fu">lookid</span>(pokemon))</span>
<span id="cb9-6"><a href="#cb9-6" aria-hidden="true" tabindex="-1"></a> } <span class="cf">else</span> {</span>
<span id="cb9-7"><a href="#cb9-7" aria-hidden="true" tabindex="-1"></a> pokemon_mini<span class="ot"><-</span><span class="fu">lookname</span>(pokemon)</span>
<span id="cb9-8"><a href="#cb9-8" aria-hidden="true" tabindex="-1"></a> }</span>
<span id="cb9-9"><a href="#cb9-9" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb9-10"><a href="#cb9-10" aria-hidden="true" tabindex="-1"></a> poke_One<span class="ot"><-</span><span class="cn">NULL</span> </span>
<span id="cb9-11"><a href="#cb9-11" aria-hidden="true" tabindex="-1"></a> <span class="cf">if</span>(move <span class="sc">==</span> <span class="dv">0</span> <span class="sc">&</span> tran <span class="sc">==</span> <span class="dv">1</span> <span class="sc">&</span> stat <span class="sc">==</span> <span class="dv">0</span>){</span>
<span id="cb9-12"><a href="#cb9-12" aria-hidden="true" tabindex="-1"></a> basic <span class="ot"><-</span><span class="fu">basic</span>(pokemon_mini) </span>
<span id="cb9-13"><a href="#cb9-13" aria-hidden="true" tabindex="-1"></a> traning<span class="ot"><-</span><span class="fu">traning</span>(pokemon_mini)</span>
<span id="cb9-14"><a href="#cb9-14" aria-hidden="true" tabindex="-1"></a> poke_One<span class="ot"><-</span><span class="fu">merge</span>(basic,traning)</span>
<span id="cb9-15"><a href="#cb9-15" aria-hidden="true" tabindex="-1"></a> }<span class="cf">else</span> <span class="cf">if</span>(move <span class="sc">==</span> <span class="dv">0</span> <span class="sc">&</span> tran <span class="sc">==</span> <span class="dv">0</span> <span class="sc">&</span> stat <span class="sc">==</span> <span class="dv">1</span>){</span>
<span id="cb9-16"><a href="#cb9-16" aria-hidden="true" tabindex="-1"></a> basic <span class="ot"><-</span><span class="fu">basic</span>(pokemon_mini) </span>
<span id="cb9-17"><a href="#cb9-17" aria-hidden="true" tabindex="-1"></a> stat<span class="ot"><-</span><span class="fu">stats</span>(pokemon_mini) </span>
<span id="cb9-18"><a href="#cb9-18" aria-hidden="true" tabindex="-1"></a> poke_One<span class="ot"><-</span><span class="fu">merge</span>(basic,stat)</span>
<span id="cb9-19"><a href="#cb9-19" aria-hidden="true" tabindex="-1"></a> }<span class="cf">else</span> <span class="cf">if</span>(move <span class="sc">==</span> <span class="dv">1</span> <span class="sc">&</span> tran <span class="sc">==</span> <span class="dv">1</span> <span class="sc">&</span> stat <span class="sc">==</span> <span class="dv">1</span>){</span>
<span id="cb9-20"><a href="#cb9-20" aria-hidden="true" tabindex="-1"></a> poke_One[<span class="dv">1</span>]<span class="ot"><-</span><span class="fu">lapply</span>(pokemon, <span class="at">FUN=</span>info) </span>
<span id="cb9-21"><a href="#cb9-21" aria-hidden="true" tabindex="-1"></a> }<span class="cf">else</span>{</span>
<span id="cb9-22"><a href="#cb9-22" aria-hidden="true" tabindex="-1"></a> poke_One[<span class="dv">1</span>]<span class="ot"><-</span><span class="fu">lapply</span>(pokemon, <span class="at">FUN=</span>info) </span>
<span id="cb9-23"><a href="#cb9-23" aria-hidden="true" tabindex="-1"></a> }</span>
<span id="cb9-24"><a href="#cb9-24" aria-hidden="true" tabindex="-1"></a> </span>
<span id="cb9-25"><a href="#cb9-25" aria-hidden="true" tabindex="-1"></a> <span class="cf">if</span>(berry <span class="sc">==</span> <span class="dv">1</span>){</span>
<span id="cb9-26"><a href="#cb9-26" aria-hidden="true" tabindex="-1"></a> berry <span class="ot"><-</span> <span class="fu">get_berry</span>()</span>
<span id="cb9-27"><a href="#cb9-27" aria-hidden="true" tabindex="-1"></a> }</span>
<span id="cb9-28"><a href="#cb9-28" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb9-29"><a href="#cb9-29" aria-hidden="true" tabindex="-1"></a><span class="fu">return</span>(<span class="fu">list</span>(poke_One, berry))</span>
<span id="cb9-30"><a href="#cb9-30" aria-hidden="true" tabindex="-1"></a>}</span></code></pre></div>
<h1 id="wrapper-function">Wrapper function</h1>
<div class="sourceCode" id="cb10"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb10-1"><a href="#cb10-1" aria-hidden="true" tabindex="-1"></a>info<span class="ot"><-</span><span class="cf">function</span>(pokemon){</span>
<span id="cb10-2"><a href="#cb10-2" aria-hidden="true" tabindex="-1"></a> <span class="cf">if</span> (<span class="fu">is.numeric</span>(pokemon) <span class="sc">==</span> <span class="st">"TRUE"</span>){</span>
<span id="cb10-3"><a href="#cb10-3" aria-hidden="true" tabindex="-1"></a> pokemon_api<span class="ot"><-</span><span class="fu">lookname</span>(<span class="fu">lookid</span>(pokemon))</span>
<span id="cb10-4"><a href="#cb10-4" aria-hidden="true" tabindex="-1"></a> } <span class="cf">else</span> {</span>
<span id="cb10-5"><a href="#cb10-5" aria-hidden="true" tabindex="-1"></a> pokemon_api<span class="ot"><-</span><span class="fu">lookname</span>(pokemon)</span>
<span id="cb10-6"><a href="#cb10-6" aria-hidden="true" tabindex="-1"></a> }</span>
<span id="cb10-7"><a href="#cb10-7" aria-hidden="true" tabindex="-1"></a> basic<span class="ot"><-</span><span class="fu">basic</span>(pokemon_api)</span>
<span id="cb10-8"><a href="#cb10-8" aria-hidden="true" tabindex="-1"></a> traning<span class="ot"><-</span><span class="fu">traning</span>(pokemon_api)</span>
<span id="cb10-9"><a href="#cb10-9" aria-hidden="true" tabindex="-1"></a> stats<span class="ot"><-</span><span class="fu">stats</span>(pokemon_api)</span>
<span id="cb10-10"><a href="#cb10-10" aria-hidden="true" tabindex="-1"></a> move <span class="ot"><-</span> <span class="fu">get_moves</span>(pokemon_api[[<span class="st">"id"</span>]])</span>
<span id="cb10-11"><a href="#cb10-11" aria-hidden="true" tabindex="-1"></a> info<span class="ot"><-</span><span class="fu">merge</span>(basic,traning) <span class="sc">%>%</span> <span class="fu">merge</span>(stats) <span class="sc">%>%</span> <span class="fu">merge</span>(move)</span>
<span id="cb10-12"><a href="#cb10-12" aria-hidden="true" tabindex="-1"></a> <span class="fu">return</span>(info)</span>
<span id="cb10-13"><a href="#cb10-13" aria-hidden="true" tabindex="-1"></a>}</span></code></pre></div>
<h2 id="function-for-berries">Function for berries</h2>
<ul>
<li>This function does not require any input arguments. The function
loops through the pokemon api and pulls the information for the 64
berries. There is not a direct link to pokemon data itself. It will be
used for future analytical purposes.</li>
</ul>
<div class="sourceCode" id="cb11"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb11-1"><a href="#cb11-1" aria-hidden="true" tabindex="-1"></a>get_berry <span class="ot"><-</span><span class="cf">function</span>(){</span>
<span id="cb11-2"><a href="#cb11-2" aria-hidden="true" tabindex="-1"></a> api_json<span class="ot"><-</span><span class="fu">GET</span>(<span class="st">"https://pokeapi.co/api/v2/berry/1/"</span>) <span class="sc">%>%</span> <span class="fu">content</span>(<span class="st">"text"</span>) <span class="sc">%>%</span> <span class="fu">fromJSON</span>(<span class="at">flatten=</span><span class="cn">TRUE</span>)</span>
<span id="cb11-3"><a href="#cb11-3" aria-hidden="true" tabindex="-1"></a> berries_df <span class="ot"><-</span> <span class="fu">as.data.frame</span>(api_json)</span>
<span id="cb11-4"><a href="#cb11-4" aria-hidden="true" tabindex="-1"></a> <span class="cf">for</span>(i <span class="cf">in</span> <span class="dv">2</span><span class="sc">:</span><span class="dv">64</span>){</span>
<span id="cb11-5"><a href="#cb11-5" aria-hidden="true" tabindex="-1"></a> base <span class="ot"><-</span> <span class="st">"https://pokeapi.co/api/v2/berry/"</span></span>
<span id="cb11-6"><a href="#cb11-6" aria-hidden="true" tabindex="-1"></a> call_next <span class="ot"><-</span> (<span class="fu">paste0</span>(base,i,<span class="st">"/"</span>))</span>
<span id="cb11-7"><a href="#cb11-7" aria-hidden="true" tabindex="-1"></a> api_json2 <span class="ot"><-</span> <span class="fu">GET</span>(call_next) <span class="sc">%>%</span> <span class="fu">content</span>(<span class="st">"text"</span>) <span class="sc">%>%</span> <span class="fu">fromJSON</span>(<span class="at">flatten=</span><span class="cn">TRUE</span>)</span>
<span id="cb11-8"><a href="#cb11-8" aria-hidden="true" tabindex="-1"></a> next_df <span class="ot"><-</span> <span class="fu">as.data.frame</span>(api_json2)</span>
<span id="cb11-9"><a href="#cb11-9" aria-hidden="true" tabindex="-1"></a> berries_df <span class="ot"><-</span> <span class="fu">rbind</span>(berries_df,next_df)</span>
<span id="cb11-10"><a href="#cb11-10" aria-hidden="true" tabindex="-1"></a> }</span>
<span id="cb11-11"><a href="#cb11-11" aria-hidden="true" tabindex="-1"></a> berries_df <span class="ot"><<-</span>berries_df <span class="sc">%>%</span> </span>
<span id="cb11-12"><a href="#cb11-12" aria-hidden="true" tabindex="-1"></a> <span class="fu">select</span>(<span class="sc">-</span> firmness.url,<span class="sc">-</span>flavors.flavor.url,<span class="sc">-</span>item.url, <span class="sc">-</span>natural_gift_type.url )</span>
<span id="cb11-13"><a href="#cb11-13" aria-hidden="true" tabindex="-1"></a>}</span></code></pre></div>
<h1 id="subset-dataframes-for-anaysis">Subset dataframes for
anaysis</h1>
<ul>
<li>We generated first 200 pokemon and all 64 berries from pokemon api
through our functions. We noticed that some pokemon have dual-type. For
convenience, we only include main type as our interest. Then we saved
them as data frames to efficiently handle the actual exploratory data
analysis.</li>
</ul>
<h2 id="function-for-subset">Function for subset</h2>
<div class="sourceCode" id="cb12"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb12-1"><a href="#cb12-1" aria-hidden="true" tabindex="-1"></a>sub<span class="ot"><-</span><span class="cf">function</span>(n){</span>
<span id="cb12-2"><a href="#cb12-2" aria-hidden="true" tabindex="-1"></a> poke<span class="ot"><-</span><span class="cn">NULL</span></span>
<span id="cb12-3"><a href="#cb12-3" aria-hidden="true" tabindex="-1"></a> <span class="cf">for</span> (i <span class="cf">in</span> <span class="dv">1</span><span class="sc">:</span>n){</span>
<span id="cb12-4"><a href="#cb12-4" aria-hidden="true" tabindex="-1"></a> poke[i]<span class="ot"><-</span><span class="fu">lapply</span>(i, <span class="at">FUN=</span>info)</span>
<span id="cb12-5"><a href="#cb12-5" aria-hidden="true" tabindex="-1"></a> }</span>
<span id="cb12-6"><a href="#cb12-6" aria-hidden="true" tabindex="-1"></a> poke_com<span class="ot"><-</span>poke[[<span class="dv">1</span>]]</span>
<span id="cb12-7"><a href="#cb12-7" aria-hidden="true" tabindex="-1"></a> <span class="cf">for</span> (i <span class="cf">in</span> <span class="dv">2</span><span class="sc">:</span>n){</span>
<span id="cb12-8"><a href="#cb12-8" aria-hidden="true" tabindex="-1"></a> poke_com<span class="ot"><-</span><span class="fu">bind_rows</span>(poke_com,poke[[i]])</span>
<span id="cb12-9"><a href="#cb12-9" aria-hidden="true" tabindex="-1"></a> }</span>
<span id="cb12-10"><a href="#cb12-10" aria-hidden="true" tabindex="-1"></a> <span class="fu">return</span>(poke_com)</span>
<span id="cb12-11"><a href="#cb12-11" aria-hidden="true" tabindex="-1"></a>}</span></code></pre></div>
<h2 id="get-pokemon">Get Pokemon</h2>
<p>To request information from the api, the user has 3 options:</p>
<ol style="list-style-type: decimal">
<li>Get Basic information and Training</li>
<li>Get Basic information and Stats</li>
<li>Get All - Basic information, Training, and Stats</li>
<li>Get Berry information.</li>
</ol>
<p>The default arguments are (pokemon = 132, tran = 1, stat = 1, move =
1, berry=0), where 1 is return this information and 0 do not return this
information.</p>
<div class="sourceCode" id="cb13"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb13-1"><a href="#cb13-1" aria-hidden="true" tabindex="-1"></a><span class="fu">get_pokemon</span>(<span class="st">"DITTO"</span>)</span></code></pre></div>
<pre><code>## [[1]]
## [[1]][[1]]
## id name type height weight habitat shape color base_happiness capture_rate growth_rate gender_rate hp
## 1 132 ditto normal 3 40 urban ball purple 50 35 medium -1 48
## attack defense special-attack special-defense speed idMove nameMove accuracy power PowerPoint
## 1 48 48 48 48 48 132 constrict 100 10 35
##
##
## [[2]]
## [1] 0</code></pre>
<div class="sourceCode" id="cb15"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb15-1"><a href="#cb15-1" aria-hidden="true" tabindex="-1"></a><span class="fu">get_pokemon</span>(<span class="dv">18</span>, <span class="at">tran =</span> <span class="dv">1</span>, <span class="at">stat =</span> <span class="dv">0</span>, <span class="at">move =</span> <span class="dv">0</span>, <span class="at">berry=</span><span class="dv">0</span>)</span></code></pre></div>
<pre><code>## [[1]]
## id name type height weight habitat shape color base_happiness capture_rate growth_rate
## 1 18 pidgeot normal/flying 15 395 forest wings brown 70 45 medium-slow
## gender_rate
## 1 4
##
## [[2]]
## [1] 0</code></pre>
<div class="sourceCode" id="cb17"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb17-1"><a href="#cb17-1" aria-hidden="true" tabindex="-1"></a><span class="fu">get_pokemon</span>(<span class="dv">132</span>, <span class="at">tran =</span> <span class="dv">0</span>, <span class="at">stat =</span> <span class="dv">1</span>, <span class="at">move =</span> <span class="dv">0</span>, <span class="at">berry =</span> <span class="dv">0</span>)</span></code></pre></div>
<pre><code>## [[1]]
## id name type height weight habitat shape color hp attack defense special-attack special-defense speed
## 1 132 ditto normal 3 40 urban ball purple 48 48 48 48 48 48
##
## [[2]]
## [1] 0</code></pre>
<h2 id="pokemon-subset">Pokemon subset</h2>
<div class="sourceCode" id="cb19"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb19-1"><a href="#cb19-1" aria-hidden="true" tabindex="-1"></a>poke<span class="ot"><-</span><span class="fu">sub</span>(<span class="dv">200</span>)</span>
<span id="cb19-2"><a href="#cb19-2" aria-hidden="true" tabindex="-1"></a>sep<span class="ot"><-</span><span class="fu">separate</span>(poke, <span class="at">col=</span>type, <span class="at">into=</span><span class="fu">c</span>(<span class="st">'main.type'</span>, <span class="st">'co.type'</span>), <span class="at">sep=</span><span class="st">'/'</span>)</span></code></pre></div>
<h2 id="berries-subset">Berries subset</h2>
<div class="sourceCode" id="cb20"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb20-1"><a href="#cb20-1" aria-hidden="true" tabindex="-1"></a><span class="fu">get_berry</span>()</span></code></pre></div>
<h1 id="basic-exploratory-data-analysis-eda">Basic Exploratory Data
Analysis (EDA)</h1>
<h2 id="bar-plot">Bar plot</h2>
<div class="sourceCode" id="cb21"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb21-1"><a href="#cb21-1" aria-hidden="true" tabindex="-1"></a><span class="fu">ggplot</span>(poke,<span class="fu">aes</span>(<span class="at">y =</span> habitat, <span class="at">fill =</span> color)) <span class="sc">+</span> <span class="fu">geom_bar</span>(<span class="at">position=</span><span class="st">"dodge"</span>) <span class="sc">+</span> </span>
<span id="cb21-2"><a href="#cb21-2" aria-hidden="true" tabindex="-1"></a> <span class="fu">labs</span>(<span class="at">y=</span><span class="st">"Habitat"</span>, <span class="at">title =</span><span class="st">"Bar Plot of Pokemon Habitat by Color"</span>) <span class="sc">+</span></span>
<span id="cb21-3"><a href="#cb21-3" aria-hidden="true" tabindex="-1"></a> <span class="fu">scale_fill_discrete</span>(<span class="at">name=</span><span class="st">"Color"</span>) <span class="sc">+</span> </span>
<span id="cb21-4"><a href="#cb21-4" aria-hidden="true" tabindex="-1"></a> <span class="fu">theme</span>(<span class="at">legend.text =</span> <span class="fu">element_text</span>(<span class="at">size =</span> <span class="dv">6</span>), <span class="at">plot.title =</span> <span class="fu">element_text</span>(<span class="at">hjust =</span> <span class="fl">0.5</span>))</span></code></pre></div>
<img 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" style="display: block; margin: auto;" />
<ul>
<li>This bar plot shows the relationship between habitat and the
pokemon’s color. According to <a href="https://bulbapedia.bulbagarden.net/wiki/List_of_Pok%C3%A9mon_by_color">Bulbadpedia</a>,
color is “usually the color most apparent or covering each pokemon’s
body”. We believe color is based on where the pokemon lives.</li>
<li>We observed above blue pokemons are mainly creatures that live by
the water’s edge. We can confirm this by viewing images. These pokemon
are aquatic or living by the water’s edge.</li>
<li>The most diverse region is grassland with seven colors (types) of
pokemon living in that habitat. The missing habitat is white. Most of
these pokemon have an arctic appearance.</li>
</ul>
<div class="sourceCode" id="cb22"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb22-1"><a href="#cb22-1" aria-hidden="true" tabindex="-1"></a><span class="fu">ggplot</span>(sep, <span class="fu">aes</span>(<span class="at">x =</span> habitat, <span class="at">fill =</span> main.type)) <span class="sc">+</span></span>
<span id="cb22-2"><a href="#cb22-2" aria-hidden="true" tabindex="-1"></a> <span class="fu">geom_bar</span>(<span class="at">position=</span><span class="st">"dodge"</span>) <span class="sc">+</span></span>
<span id="cb22-3"><a href="#cb22-3" aria-hidden="true" tabindex="-1"></a> <span class="fu">facet_grid</span>(. <span class="sc">~</span>growth_rate, <span class="at">labeller=</span>label_both) <span class="sc">+</span> <span class="fu">scale_fill_discrete</span>(<span class="at">name=</span><span class="st">"Main Type"</span>) <span class="sc">+</span> </span>
<span id="cb22-4"><a href="#cb22-4" aria-hidden="true" tabindex="-1"></a> <span class="fu">labs</span>(<span class="at">x=</span><span class="st">"Habitat"</span>, <span class="at">title =</span><span class="st">"Side-by-side Bar Plot of Pokemon Growth Rate by Habitat"</span>) <span class="sc">+</span> <span class="fu">theme</span>(<span class="at">axis.text.x =</span> <span class="fu">element_text</span>(<span class="at">angle=</span><span class="dv">45</span>, <span class="at">size=</span><span class="dv">5</span>), <span class="at">legend.text =</span> <span class="fu">element_text</span>(<span class="at">size =</span> <span class="dv">6</span>), <span class="at">plot.title =</span> <span class="fu">element_text</span>(<span class="at">hjust =</span> <span class="fl">0.5</span>) )</span></code></pre></div>
<img 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" style="display: block; margin: auto;" />
<ul>
<li>This side-by-side bar plot of pokemon growth rate indicates that
generally the grass-type pokemon commonly lives in grassland has
lower-middle growth rate. Most of fairy-type and bug-type pokemon grow
relatively faster than others. In the contrast, dragon-type pokemon
grows relatively slower.</li>
<li>We can also observed that it seems like there is strong relationship
between pokemon’s habitat and their type. We will explore that
information later in our contingency analysis.</li>
</ul>
<h2 id="contingency-table">Contingency Table</h2>
<div class="sourceCode" id="cb23"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb23-1"><a href="#cb23-1" aria-hidden="true" tabindex="-1"></a> <span class="fu">table</span>(sep<span class="sc">$</span>habitat,sep<span class="sc">$</span>main.type)</span></code></pre></div>
<pre><code>##
## bug dark dragon electric fairy fighting fire ghost grass ground ice normal poison psychic
## cave 0 0 0 0 0 0 0 4 0 2 0 0 3 0
## forest 16 1 0 3 2 0 0 0 5 0 0 6 0 2
## grassland 1 0 0 4 0 0 9 0 16 0 0 13 8 2
## mountain 0 0 0 0 3 5 4 0 0 2 0 1 0 0
## rare 0 0 0 1 0 0 1 0 0 0 1 0 0 2
## rough-terrain 0 0 0 2 0 0 0 0 0 4 0 2 0 0
## sea 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## urban 0 1 0 3 0 2 1 0 0 0 1 6 4 5
## waters-edge 0 0 3 0 0 0 0 0 0 0 0 0 0 0
##
## rock water
## cave 1 0
## forest 1 0
## grassland 0 0
## mountain 4 0
## rare 0 0
## rough-terrain 0 0
## sea 4 13
## urban 0 1
## waters-edge 0 25</code></pre>
<ul>
<li>As expected, bug-type pokemon lives in forest, grass-type pokemon
lives in grassland, and water-type pokemon lives in sea or
waters-edge.</li>
<li>The other type of pokemon’s habitat also make lot of sense, where
rock-type pokemon lives near mountain and sea, but they also can find
near cave and forest. In that case, those pokemon might have dual-type
based on their habitat.</li>
</ul>
<h2 id="scatter-plot">Scatter plot</h2>
<div class="sourceCode" id="cb25"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb25-1"><a href="#cb25-1" aria-hidden="true" tabindex="-1"></a><span class="fu">ggplot</span>(berries_df,<span class="fu">aes</span>(<span class="at">x =</span> growth_time, <span class="at">y =</span> soil_dryness)) <span class="sc">+</span> </span>
<span id="cb25-2"><a href="#cb25-2" aria-hidden="true" tabindex="-1"></a> <span class="fu">geom_smooth</span>(<span class="at">formula =</span> y<span class="sc">~</span>x, <span class="at">method =</span> <span class="st">"loess"</span>) <span class="sc">+</span> <span class="fu">geom_point</span>() <span class="sc">+</span> </span>
<span id="cb25-3"><a href="#cb25-3" aria-hidden="true" tabindex="-1"></a> <span class="fu">labs</span>(<span class="at">x =</span> <span class="st">"Growth Time"</span>, <span class="at">y=</span> <span class="st">"Soil Dryness"</span>,<span class="at">title =</span> <span class="st">"Impact of Soil Dryness on Growth"</span>) <span class="sc">+</span></span>
<span id="cb25-4"><a href="#cb25-4" aria-hidden="true" tabindex="-1"></a> <span class="fu">theme</span>(<span class="at">legend.title =</span> <span class="fu">element_text</span>(<span class="at">size =</span> <span class="dv">6</span>), <span class="at">legend.text =</span> <span class="fu">element_text</span>(<span class="at">size =</span> <span class="dv">6</span>), <span class="at">plot.title =</span> <span class="fu">element_text</span>(<span class="at">hjust =</span> <span class="fl">0.5</span>))</span></code></pre></div>
<img src="data:image/png;base64,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" style="display: block; margin: auto;" />
<ul>
<li><p>This scatter plot shows the relationship between berry growth and
soil dryness. It visually verifies the negative relationship between the
growth of berries and soil dryness. As the berry grows, the soil becomes
drier.</p>
<ul>
<li>This negative relationship is also confirmed in the correlation
score of -.68.</li>
</ul></li>
</ul>
<div class="sourceCode" id="cb26"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb26-1"><a href="#cb26-1" aria-hidden="true" tabindex="-1"></a><span class="fu">cor</span>(berries_df<span class="sc">$</span>growth_time,berries_df<span class="sc">$</span>soil_dryness)</span></code></pre></div>
<pre><code>## [1] -0.6768502</code></pre>
<div class="sourceCode" id="cb28"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb28-1"><a href="#cb28-1" aria-hidden="true" tabindex="-1"></a><span class="fu">ggplot</span>(sep, <span class="fu">aes</span>(<span class="at">x =</span> <span class="fu">round</span>((weight<span class="sc">/</span>height),<span class="dv">2</span>), <span class="at">y =</span> speed)) <span class="sc">+</span></span>
<span id="cb28-2"><a href="#cb28-2" aria-hidden="true" tabindex="-1"></a> <span class="fu">geom_point</span>(<span class="fu">aes</span>(<span class="at">color =</span> main.type)) <span class="sc">+</span></span>
<span id="cb28-3"><a href="#cb28-3" aria-hidden="true" tabindex="-1"></a> <span class="fu">labs</span>(<span class="at">x =</span> <span class="st">"BMI"</span>, <span class="at">y=</span> <span class="st">"Speed"</span>,<span class="at">title =</span> <span class="st">"Body Mass Index (BMI) and Speed"</span>) <span class="sc">+</span></span>
<span id="cb28-4"><a href="#cb28-4" aria-hidden="true" tabindex="-1"></a> <span class="fu">theme</span>(<span class="at">legend.title =</span> <span class="fu">element_text</span>(<span class="at">size =</span> <span class="dv">5</span>), <span class="at">legend.text =</span> <span class="fu">element_text</span>(<span class="at">size =</span> <span class="dv">5</span>))</span></code></pre></div>
<img 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" style="display: block; margin: auto;" />
<ul>
<li>This scatter plot shows the relationship between BMI (weight/height)
and speed. We used type of pokemon to highlight the color. This chart
shows no clear relationship between a higher BMI and moving at slower
speeds. We can see a few pokemon to the right with BMIs around 50;
However, they are not the slowest pokemon.</li>
</ul>
<div class="sourceCode" id="cb29"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb29-1"><a href="#cb29-1" aria-hidden="true" tabindex="-1"></a><span class="fu">cor</span>(sep<span class="sc">$</span>weight,sep<span class="sc">$</span>height)</span></code></pre></div>
<pre><code>## [1] 0.5966108</code></pre>
<div class="sourceCode" id="cb31"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb31-1"><a href="#cb31-1" aria-hidden="true" tabindex="-1"></a> <span class="fu">ggplot</span>(sep, <span class="fu">aes</span>(<span class="at">x=</span>weight, <span class="at">y=</span>height)) <span class="sc">+</span> <span class="fu">geom_point</span>(<span class="fu">aes</span>(<span class="at">color =</span> main.type, <span class="at">shape =</span> habitat)) <span class="sc">+</span> <span class="fu">geom_smooth</span>(<span class="at">method=</span>lm, <span class="at">formula =</span> y<span class="sc">~</span>x) <span class="sc">+</span> </span>
<span id="cb31-2"><a href="#cb31-2" aria-hidden="true" tabindex="-1"></a> <span class="fu">labs</span>(<span class="at">x =</span> <span class="st">"Weight"</span>, <span class="at">y=</span> <span class="st">"Height"</span>,<span class="at">title =</span> <span class="st">"Weight vs. Height"</span>) <span class="sc">+</span></span>
<span id="cb31-3"><a href="#cb31-3" aria-hidden="true" tabindex="-1"></a> <span class="fu">theme</span>(<span class="at">legend.title =</span> <span class="fu">element_text</span>(<span class="at">size =</span> <span class="dv">6</span>), <span class="at">legend.text =</span> <span class="fu">element_text</span>(<span class="at">size =</span> <span class="dv">6</span>), <span class="at">plot.title =</span> <span class="fu">element_text</span>(<span class="at">hjust =</span> <span class="fl">0.5</span>))</span></code></pre></div>
<img 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" style="display: block; margin: auto;" />
<ul>
<li>Correlation between weight and height is 0.5966, which considered as
moderate correlations. From the scatter plot, we can conclude the same,
which weight and height have relationship but not that strong.</li>
</ul>
<h2 id="histogram">Histogram</h2>
<div class="sourceCode" id="cb32"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb32-1"><a href="#cb32-1" aria-hidden="true" tabindex="-1"></a><span class="fu">ggplot</span>(poke, <span class="fu">aes</span>(<span class="at">x=</span>shape)) <span class="sc">+</span> </span>
<span id="cb32-2"><a href="#cb32-2" aria-hidden="true" tabindex="-1"></a> <span class="fu">geom_histogram</span>(<span class="at">binwidth=</span><span class="dv">5</span>,<span class="at">stat=</span><span class="st">"count"</span>,<span class="at">colour=</span><span class="st">"black"</span>, <span class="at">fill=</span><span class="st">"steelblue"</span>) <span class="sc">+</span> </span>
<span id="cb32-3"><a href="#cb32-3" aria-hidden="true" tabindex="-1"></a> <span class="fu">labs</span>(<span class="at">x =</span> <span class="st">"Shape"</span>, <span class="at">y=</span> <span class="st">"Density"</span>, <span class="at">title =</span> <span class="st">'Histogram for Pokemon Shape'</span>) <span class="sc">+</span> </span>
<span id="cb32-4"><a href="#cb32-4" aria-hidden="true" tabindex="-1"></a> <span class="fu">geom_text</span>(<span class="at">stat=</span><span class="st">'count'</span>, <span class="fu">aes</span>(<span class="at">label=</span>..count..), <span class="at">vjust=</span><span class="sc">-</span><span class="fl">0.5</span>) <span class="sc">+</span> <span class="fu">theme</span>(<span class="at">axis.text.x =</span> <span class="fu">element_text</span>(<span class="at">angle=</span><span class="dv">45</span>)) <span class="sc">+</span> <span class="fu">theme</span>(<span class="at">plot.title =</span> <span class="fu">element_text</span>(<span class="at">hjust =</span> <span class="fl">0.5</span>))</span></code></pre></div>
<img 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" style="display: block; margin: auto;" />
<ul>
<li>This histogram shows upright, quadruped, humanoid and wings are the
most common shapes for first 200 pokemon. Arms, heads and tentacles are
the most rare shapes.</li>
</ul>
<h2 id="box-plot">Box plot</h2>
<div class="sourceCode" id="cb33"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb33-1"><a href="#cb33-1" aria-hidden="true" tabindex="-1"></a>poke <span class="sc">%>%</span> <span class="fu">ggplot</span>(<span class="fu">aes</span>(<span class="at">x=</span>growth_rate, <span class="at">y=</span>capture_rate)) <span class="sc">+</span> <span class="fu">geom_boxplot</span>() <span class="sc">+</span> <span class="fu">geom_jitter</span>(<span class="fu">aes</span>(<span class="at">colour=</span>growth_rate)) <span class="sc">+</span> <span class="fu">labs</span>(<span class="at">title =</span> <span class="st">'Boxplot for Capture Rate'</span>) <span class="sc">+</span> <span class="fu">theme</span>(<span class="at">legend.title =</span> <span class="fu">element_text</span>(<span class="at">size =</span> <span class="dv">5</span>), <span class="at">legend.text =</span> <span class="fu">element_text</span>(<span class="at">size =</span> <span class="dv">5</span>))</span></code></pre></div>
<img 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" style="display: block; margin: auto;" />
<ul>
<li>This box plot shows capture rate segmented by growth rates -
medium-slow, medium and fast. The medium growth rate has the largest
median value of the three at about 125. It also has more outliers. It is
interesting, the medium-slow box plot does not have a first quantile.
All of its values lie between the median and 3rd quantile.</li>
</ul>
<h2 id="numeric-summaries">Numeric summaries</h2>
<ol style="list-style-type: decimal">
<li>Numeric summaries for pokemon base stats</li>
</ol>
<div class="sourceCode" id="cb34"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb34-1"><a href="#cb34-1" aria-hidden="true" tabindex="-1"></a>pokestats <span class="ot"><-</span> poke <span class="sc">%>%</span> <span class="fu">select</span>(hp, attack, defense, <span class="st">'special-attack'</span>,<span class="st">'special-defense'</span>,speed) <span class="sc">%>%</span> <span class="fu">apply</span>(<span class="dv">2</span>, <span class="cf">function</span>(x){<span class="fu">summary</span>(x[<span class="sc">!</span><span class="fu">is.na</span>(x)])}) </span>
<span id="cb34-2"><a href="#cb34-2" aria-hidden="true" tabindex="-1"></a>knitr<span class="sc">::</span><span class="fu">kable</span>(pokestats, <span class="at">caption =</span> <span class="st">'Summary of Pokemon Stats'</span>, <span class="at">digits =</span> <span class="dv">2</span>)</span></code></pre></div>
<table>
<thead>
<tr class="header">
<th align="left"></th>
<th align="right">hp</th>
<th align="right">attack</th>
<th align="right">defense</th>
<th align="right">special-attack</th>
<th align="right">special-defense</th>
<th align="right">speed</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td align="left">Min.</td>
<td align="right">10.00</td>
<td align="right">5.00</td>
<td align="right">5.00</td>
<td align="right">15.00</td>
<td align="right">20.00</td>
<td align="right">15.00</td>
</tr>
<tr class="even">
<td align="left">1st Qu.</td>
<td align="right">45.00</td>
<td align="right">50.00</td>
<td align="right">48.75</td>
<td align="right">45.00</td>
<td align="right">50.00</td>
<td align="right">45.00</td>
</tr>
<tr class="odd">
<td align="left">Median</td>