src/basic_analyze.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 269,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import os\n",
    "import math\n",
    "import sys\n",
    "import collections\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'../data/search_performance'"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# constants\n",
    "in_data_dir = \"../data\"\n",
    "search_perfomance_dir = \"search_performance\"\n",
    "\n",
    "until_data_path = os.path.join(in_data_dir, search_perfomance_dir)\n",
    "until_data_path"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 読み込み対象としたいファイル名\n",
    "target_file = \"2020-02-13.csv\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [],
   "source": [
    "# ==================================\n",
    "#  Utils for Analyze\n",
    "# ==================================\n",
    "\n",
    "# google search console 検索パフォーマンスのデータの読み込み関数\n",
    "def read_performance_csv(file_name):\n",
    "    until_file_path = os.path.join(until_data_path, file_name)\n",
    "    return pd.read_csv(until_file_path)\n",
    "\n",
    "# 概要を表示\n",
    "def display_describe(df):\n",
    "    return df.describe()\n",
    "\n",
    "# 何ページ目に表示されているかを算出\n",
    "def calc_page_num(top_n, each_num=10):\n",
    "    return math.floor(top_n / each_num) + 1\n",
    "\n",
    "# %表示を小数点表示に変換\n",
    "def per_to_float(per_str):\n",
    "    return float(per_str[:-1]) / 100"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## カラムの説明\n",
    "- keyword -> 検索キーワード: 実際に検索に用いられている検索キーワード、もしくは組み合わせ\n",
    "- click_num -> クリック数: 表示された回数の中で何度ページが開かれたか(クリックされたか)\n",
    "- display_num -> 表示回数: 検索されたキーワードを元に何度も自身の投稿した記事が表示されたか(ヒットしたか)\n",
    "- ctr -> CTR: クリック数 / 表示回数 によって算出される値。つまりは頻度\n",
    "- top_n -> 掲載順位: 広告差し込みを除いて何番目に表示されているか"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>keyword</th>\n",
       "      <th>click_num</th>\n",
       "      <th>display_num</th>\n",
       "      <th>ctr</th>\n",
       "      <th>top_n</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>janome mecab</td>\n",
       "      <td>38</td>\n",
       "      <td>215</td>\n",
       "      <td>17.67%</td>\n",
       "      <td>3.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>mecab janome</td>\n",
       "      <td>32</td>\n",
       "      <td>114</td>\n",
       "      <td>28.07%</td>\n",
       "      <td>2.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>janome mecab 違い</td>\n",
       "      <td>12</td>\n",
       "      <td>37</td>\n",
       "      <td>32.43%</td>\n",
       "      <td>2.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>elixir python</td>\n",
       "      <td>10</td>\n",
       "      <td>45</td>\n",
       "      <td>22.22%</td>\n",
       "      <td>4.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>mecab tokenizer</td>\n",
       "      <td>7</td>\n",
       "      <td>68</td>\n",
       "      <td>10.29%</td>\n",
       "      <td>4.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>elixir optionparser</td>\n",
       "      <td>6</td>\n",
       "      <td>18</td>\n",
       "      <td>33.33%</td>\n",
       "      <td>13.33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>janome 形態素解析</td>\n",
       "      <td>4</td>\n",
       "      <td>85</td>\n",
       "      <td>4.71%</td>\n",
       "      <td>9.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>cloud functions デプロイ</td>\n",
       "      <td>4</td>\n",
       "      <td>67</td>\n",
       "      <td>5.97%</td>\n",
       "      <td>8.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>elixir cli</td>\n",
       "      <td>4</td>\n",
       "      <td>27</td>\n",
       "      <td>14.81%</td>\n",
       "      <td>4.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>python 形態素解析 比較</td>\n",
       "      <td>3</td>\n",
       "      <td>118</td>\n",
       "      <td>2.54%</td>\n",
       "      <td>7.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>janome python</td>\n",
       "      <td>3</td>\n",
       "      <td>67</td>\n",
       "      <td>4.48%</td>\n",
       "      <td>15.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>python 形態素解析</td>\n",
       "      <td>3</td>\n",
       "      <td>48</td>\n",
       "      <td>6.25%</td>\n",
       "      <td>22.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>python elixir</td>\n",
       "      <td>3</td>\n",
       "      <td>28</td>\n",
       "      <td>10.71%</td>\n",
       "      <td>5.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>part_of_speech</td>\n",
       "      <td>3</td>\n",
       "      <td>20</td>\n",
       "      <td>15%</td>\n",
       "      <td>6.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>janome tokenizer</td>\n",
       "      <td>2</td>\n",
       "      <td>42</td>\n",
       "      <td>4.76%</td>\n",
       "      <td>10.81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>cloud function deploy</td>\n",
       "      <td>2</td>\n",
       "      <td>41</td>\n",
       "      <td>4.88%</td>\n",
       "      <td>7.46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>ダイクストラ法 python</td>\n",
       "      <td>2</td>\n",
       "      <td>28</td>\n",
       "      <td>7.14%</td>\n",
       "      <td>21.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>elixir 入門</td>\n",
       "      <td>2</td>\n",
       "      <td>21</td>\n",
       "      <td>9.52%</td>\n",
       "      <td>29.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>mecab janome 比較</td>\n",
       "      <td>2</td>\n",
       "      <td>14</td>\n",
       "      <td>14.29%</td>\n",
       "      <td>2.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>python ダイクストラ</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>20%</td>\n",
       "      <td>24.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>optionparser elixir</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>25%</td>\n",
       "      <td>3.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>request had invalid authentication credentials...</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>40%</td>\n",
       "      <td>20.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>mecab</td>\n",
       "      <td>1</td>\n",
       "      <td>177</td>\n",
       "      <td>0.56%</td>\n",
       "      <td>67.29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>形態素解析 ツール</td>\n",
       "      <td>1</td>\n",
       "      <td>159</td>\n",
       "      <td>0.63%</td>\n",
       "      <td>42.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>python janome</td>\n",
       "      <td>1</td>\n",
       "      <td>58</td>\n",
       "      <td>1.72%</td>\n",
       "      <td>16.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>形態素解析 python</td>\n",
       "      <td>1</td>\n",
       "      <td>36</td>\n",
       "      <td>2.78%</td>\n",
       "      <td>26.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>optionparser</td>\n",
       "      <td>1</td>\n",
       "      <td>33</td>\n",
       "      <td>3.03%</td>\n",
       "      <td>16.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>python responder</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>6.67%</td>\n",
       "      <td>29.27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>elixir 定数</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>10%</td>\n",
       "      <td>6.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>janome.tokenizer</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>10%</td>\n",
       "      <td>12.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>539</th>\n",
       "      <td>ntt 電話 番号 調べ</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0%</td>\n",
       "      <td>97.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>540</th>\n",
       "      <td>nttからの電話</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0%</td>\n",
       "      <td>97.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>541</th>\n",
       "      <td>nttにし</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0%</td>\n",
       "      <td>97.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>542</th>\n",
       "      <td>python 遅延評価</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0%</td>\n",
       "      <td>97.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>543</th>\n",
       "      <td>どのjsが動いているか</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0%</td>\n",
       "      <td>97.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>544</th>\n",
       "      <td>バイト 電話</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0%</td>\n",
       "      <td>97.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>545</th>\n",
       "      <td>プログラミング 岐阜</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0%</td>\n",
       "      <td>97.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>546</th>\n",
       "      <td>firebase-tools npm</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0%</td>\n",
       "      <td>98.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>547</th>\n",
       "      <td>qiita 限定公開</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0%</td>\n",
       "      <td>98.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>548</th>\n",
       "      <td>パイプ演算子</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0%</td>\n",
       "      <td>98.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>549</th>\n",
       "      <td>丸の内 会議室</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0%</td>\n",
       "      <td>98.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>550</th>\n",
       "      <td>出会い 通話</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0%</td>\n",
       "      <td>98.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>551</th>\n",
       "      <td>const 代入</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0%</td>\n",
       "      <td>99.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>552</th>\n",
       "      <td>firebase hosting デプロイ</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0%</td>\n",
       "      <td>99.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>553</th>\n",
       "      <td>アルバイト 感想</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0%</td>\n",
       "      <td>99.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>554</th>\n",
       "      <td>ブログ運営 挫折</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0%</td>\n",
       "      <td>99.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>555</th>\n",
       "      <td>加入電話とは</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0%</td>\n",
       "      <td>99.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>556</th>\n",
       "      <td>firebase spark</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0%</td>\n",
       "      <td>100.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>557</th>\n",
       "      <td>progate 使い方</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0%</td>\n",
       "      <td>100.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>558</th>\n",
       "      <td>okb</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0%</td>\n",
       "      <td>101.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>559</th>\n",
       "      <td>公務員から民間企業に転職した結果</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0%</td>\n",
       "      <td>103.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>560</th>\n",
       "      <td>電話回線 ntt</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0%</td>\n",
       "      <td>105.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>561</th>\n",
       "      <td>基礎解析</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0%</td>\n",
       "      <td>106.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>562</th>\n",
       "      <td>ntt 電話加入</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0%</td>\n",
       "      <td>107.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>563</th>\n",
       "      <td>ntt ipアドレス</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0%</td>\n",
       "      <td>108.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564</th>\n",
       "      <td>wantedly 企業</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0%</td>\n",
       "      <td>121.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>565</th>\n",
       "      <td>ウォンテッドリー とは</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0%</td>\n",
       "      <td>145.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>566</th>\n",
       "      <td>導線解析</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0%</td>\n",
       "      <td>206.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>567</th>\n",
       "      <td>勉強 できなくてもいい</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0%</td>\n",
       "      <td>207.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>568</th>\n",
       "      <td>プログラミング 難しい</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0%</td>\n",
       "      <td>211.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>569 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               keyword  click_num  \\\n",
       "0                                         janome mecab         38   \n",
       "1                                         mecab janome         32   \n",
       "2                                      janome mecab 違い         12   \n",
       "3                                        elixir python         10   \n",
       "4                                      mecab tokenizer          7   \n",
       "5                                  elixir optionparser          6   \n",
       "6                                         janome 形態素解析          4   \n",
       "7                                 cloud functions デプロイ          4   \n",
       "8                                           elixir cli          4   \n",
       "9                                      python 形態素解析 比較          3   \n",
       "10                                       janome python          3   \n",
       "11                                        python 形態素解析          3   \n",
       "12                                       python elixir          3   \n",
       "13                                      part_of_speech          3   \n",
       "14                                    janome tokenizer          2   \n",
       "15                               cloud function deploy          2   \n",
       "16                                      ダイクストラ法 python          2   \n",
       "17                                           elixir 入門          2   \n",
       "18                                     mecab janome 比較          2   \n",
       "19                                       python ダイクストラ          2   \n",
       "20                                 optionparser elixir          2   \n",
       "21   request had invalid authentication credentials...          2   \n",
       "22                                               mecab          1   \n",
       "23                                           形態素解析 ツール          1   \n",
       "24                                       python janome          1   \n",
       "25                                        形態素解析 python          1   \n",
       "26                                        optionparser          1   \n",
       "27                                    python responder          1   \n",
       "28                                           elixir 定数          1   \n",
       "29                                    janome.tokenizer          1   \n",
       "..                                                 ...        ...   \n",
       "539                                       ntt 電話 番号 調べ          0   \n",
       "540                                           nttからの電話          0   \n",
       "541                                              nttにし          0   \n",
       "542                                        python 遅延評価          0   \n",
       "543                                        どのjsが動いているか          0   \n",
       "544                                             バイト 電話          0   \n",
       "545                                         プログラミング 岐阜          0   \n",
       "546                                 firebase-tools npm          0   \n",
       "547                                         qiita 限定公開          0   \n",
       "548                                             パイプ演算子          0   \n",
       "549                                            丸の内 会議室          0   \n",
       "550                                             出会い 通話          0   \n",
       "551                                           const 代入          0   \n",
       "552                              firebase hosting デプロイ          0   \n",
       "553                                           アルバイト 感想          0   \n",
       "554                                           ブログ運営 挫折          0   \n",
       "555                                             加入電話とは          0   \n",
       "556                                     firebase spark          0   \n",
       "557                                        progate 使い方          0   \n",
       "558                                                okb          0   \n",
       "559                                   公務員から民間企業に転職した結果          0   \n",
       "560                                           電話回線 ntt          0   \n",
       "561                                               基礎解析          0   \n",
       "562                                           ntt 電話加入          0   \n",
       "563                                         ntt ipアドレス          0   \n",
       "564                                        wantedly 企業          0   \n",
       "565                                        ウォンテッドリー とは          0   \n",
       "566                                               導線解析          0   \n",
       "567                                        勉強 できなくてもいい          0   \n",
       "568                                        プログラミング 難しい          0   \n",
       "\n",
       "     display_num     ctr   top_n  \n",
       "0            215  17.67%    3.18  \n",
       "1            114  28.07%    2.99  \n",
       "2             37  32.43%    2.16  \n",
       "3             45  22.22%    4.13  \n",
       "4             68  10.29%    4.79  \n",
       "5             18  33.33%   13.33  \n",
       "6             85   4.71%    9.15  \n",
       "7             67   5.97%    8.64  \n",
       "8             27  14.81%    4.56  \n",
       "9            118   2.54%    7.50  \n",
       "10            67   4.48%   15.54  \n",
       "11            48   6.25%   22.19  \n",
       "12            28  10.71%    5.68  \n",
       "13            20     15%    6.15  \n",
       "14            42   4.76%   10.81  \n",
       "15            41   4.88%    7.46  \n",
       "16            28   7.14%   21.64  \n",
       "17            21   9.52%   29.86  \n",
       "18            14  14.29%    2.00  \n",
       "19            10     20%   24.40  \n",
       "20             8     25%    3.38  \n",
       "21             5     40%   20.00  \n",
       "22           177   0.56%   67.29  \n",
       "23           159   0.63%   42.53  \n",
       "24            58   1.72%   16.36  \n",
       "25            36   2.78%   26.67  \n",
       "26            33   3.03%   16.00  \n",
       "27            15   6.67%   29.27  \n",
       "28            10     10%    6.20  \n",
       "29            10     10%   12.20  \n",
       "..           ...     ...     ...  \n",
       "539            1      0%   97.00  \n",
       "540            1      0%   97.00  \n",
       "541            1      0%   97.00  \n",
       "542            1      0%   97.00  \n",
       "543            1      0%   97.00  \n",
       "544            1      0%   97.00  \n",
       "545            1      0%   97.00  \n",
       "546            1      0%   98.00  \n",
       "547            1      0%   98.00  \n",
       "548            1      0%   98.00  \n",
       "549            1      0%   98.00  \n",
       "550            1      0%   98.00  \n",
       "551            1      0%   99.00  \n",
       "552            1      0%   99.00  \n",
       "553            1      0%   99.00  \n",
       "554            1      0%   99.00  \n",
       "555            1      0%   99.00  \n",
       "556            1      0%  100.00  \n",
       "557            1      0%  100.00  \n",
       "558            1      0%  101.00  \n",
       "559            1      0%  103.00  \n",
       "560            1      0%  105.00  \n",
       "561            1      0%  106.00  \n",
       "562            1      0%  107.00  \n",
       "563            1      0%  108.00  \n",
       "564            1      0%  121.00  \n",
       "565            1      0%  145.00  \n",
       "566            1      0%  206.00  \n",
       "567            1      0%  207.00  \n",
       "568            1      0%  211.00  \n",
       "\n",
       "[569 rows x 5 columns]"
      ]
     },
     "execution_count": 134,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "read_csv = read_performance_csv(target_file).rename(columns={\n",
    "    \"検索キーワード\": \"keyword\",\n",
    "    \"クリック数\": \"click_num\",\n",
    "    \"表示回数\": \"display_num\",\n",
    "    \"CTR\": \"ctr\",\n",
    "    \"掲載順位\": \"top_n\"\n",
    "})\n",
    "read_csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "read_csv.to_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>click_num</th>\n",
       "      <th>display_num</th>\n",
       "      <th>top_n</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>569.000000</td>\n",
       "      <td>569.000000</td>\n",
       "      <td>569.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.314587</td>\n",
       "      <td>6.843585</td>\n",
       "      <td>48.686766</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>2.258275</td>\n",
       "      <td>19.082617</td>\n",
       "      <td>32.940964</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>21.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>43.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>73.860000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>38.000000</td>\n",
       "      <td>215.000000</td>\n",
       "      <td>211.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        click_num  display_num       top_n\n",
       "count  569.000000   569.000000  569.000000\n",
       "mean     0.314587     6.843585   48.686766\n",
       "std      2.258275    19.082617   32.940964\n",
       "min      0.000000     1.000000    2.000000\n",
       "25%      0.000000     1.000000   21.500000\n",
       "50%      0.000000     2.000000   43.000000\n",
       "75%      0.000000     4.000000   73.860000\n",
       "max     38.000000   215.000000  211.000000"
      ]
     },
     "execution_count": 135,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 中央値や、平均値などを確認\n",
    "display_describe(read_csv)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 結果の確認と考察\n",
    "- 少なくとも検索結果として表示されれば3回に１度はクリックされている模様 -> 意外と多いと実感\n",
    "- 掲載順位は大体が４ページ目ぐらい -> 何ぞやの調査で１ページ以降を閲覧する割合はかなり低かったのでこれは致命的\n",
    "- 検索すれば２番目に表示される記事があることに驚きを隠せない\n",
    "- 50%の時点で掲載順位の値が43(すなわち4ページ目)であるため、半数以上の記事は検索からの流入を期待出来ない"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:8: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
      "  \n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>keyword</th>\n",
       "      <th>click_num</th>\n",
       "      <th>display_num</th>\n",
       "      <th>ctr</th>\n",
       "      <th>top_n</th>\n",
       "      <th>page_num</th>\n",
       "      <th>float_ctr</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>mecab janome 比較</td>\n",
       "      <td>2</td>\n",
       "      <td>14</td>\n",
       "      <td>14.29%</td>\n",
       "      <td>2.00</td>\n",
       "      <td>1</td>\n",
       "      <td>0.1429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>janome mecab 違い</td>\n",
       "      <td>12</td>\n",
       "      <td>37</td>\n",
       "      <td>32.43%</td>\n",
       "      <td>2.16</td>\n",
       "      <td>1</td>\n",
       "      <td>0.3243</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>mecab janome</td>\n",
       "      <td>32</td>\n",
       "      <td>114</td>\n",
       "      <td>28.07%</td>\n",
       "      <td>2.99</td>\n",
       "      <td>1</td>\n",
       "      <td>0.2807</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>elixir option parser</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>16.67%</td>\n",
       "      <td>3.00</td>\n",
       "      <td>1</td>\n",
       "      <td>0.1667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>janome mecab</td>\n",
       "      <td>38</td>\n",
       "      <td>215</td>\n",
       "      <td>17.67%</td>\n",
       "      <td>3.18</td>\n",
       "      <td>1</td>\n",
       "      <td>0.1767</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>optionparser elixir</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>25%</td>\n",
       "      <td>3.38</td>\n",
       "      <td>1</td>\n",
       "      <td>0.2500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>elixir python</td>\n",
       "      <td>10</td>\n",
       "      <td>45</td>\n",
       "      <td>22.22%</td>\n",
       "      <td>4.13</td>\n",
       "      <td>1</td>\n",
       "      <td>0.2222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>elixir cli</td>\n",
       "      <td>4</td>\n",
       "      <td>27</td>\n",
       "      <td>14.81%</td>\n",
       "      <td>4.56</td>\n",
       "      <td>1</td>\n",
       "      <td>0.1481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>mecab tokenizer</td>\n",
       "      <td>7</td>\n",
       "      <td>68</td>\n",
       "      <td>10.29%</td>\n",
       "      <td>4.79</td>\n",
       "      <td>1</td>\n",
       "      <td>0.1029</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>298</th>\n",
       "      <td>elixir constants</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0%</td>\n",
       "      <td>5.00</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>elixir const</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>0%</td>\n",
       "      <td>5.10</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>python elixir</td>\n",
       "      <td>3</td>\n",
       "      <td>28</td>\n",
       "      <td>10.71%</td>\n",
       "      <td>5.68</td>\n",
       "      <td>1</td>\n",
       "      <td>0.1071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>mecab tokenizer python</td>\n",
       "      <td>0</td>\n",
       "      <td>18</td>\n",
       "      <td>0%</td>\n",
       "      <td>5.94</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>299</th>\n",
       "      <td>elixir command line arguments</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0%</td>\n",
       "      <td>6.00</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>part_of_speech</td>\n",
       "      <td>3</td>\n",
       "      <td>20</td>\n",
       "      <td>15%</td>\n",
       "      <td>6.15</td>\n",
       "      <td>1</td>\n",
       "      <td>0.1500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>elixir 定数</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>10%</td>\n",
       "      <td>6.20</td>\n",
       "      <td>1</td>\n",
       "      <td>0.1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>python-elixir</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>0%</td>\n",
       "      <td>6.60</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>elixir closure</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>16.67%</td>\n",
       "      <td>6.67</td>\n",
       "      <td>1</td>\n",
       "      <td>0.1667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>302</th>\n",
       "      <td>golang 関数型</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0%</td>\n",
       "      <td>7.00</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>301</th>\n",
       "      <td>elixir rand</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0%</td>\n",
       "      <td>7.00</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300</th>\n",
       "      <td>elixir infinity</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0%</td>\n",
       "      <td>7.00</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>cloud function deploy</td>\n",
       "      <td>2</td>\n",
       "      <td>41</td>\n",
       "      <td>4.88%</td>\n",
       "      <td>7.46</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0488</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>python 形態素解析 比較</td>\n",
       "      <td>3</td>\n",
       "      <td>118</td>\n",
       "      <td>2.54%</td>\n",
       "      <td>7.50</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>functions deploy</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0%</td>\n",
       "      <td>8.00</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>303</th>\n",
       "      <td>conpass 勉強会</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0%</td>\n",
       "      <td>8.00</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>304</th>\n",
       "      <td>firebase function node 10</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0%</td>\n",
       "      <td>8.00</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>305</th>\n",
       "      <td>go言語 作れるもの</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0%</td>\n",
       "      <td>8.00</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>firebase cloud function deploy</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>16.67%</td>\n",
       "      <td>8.17</td>\n",
       "      <td>1</td>\n",
       "      <td>0.1667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>\"golang\"</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0%</td>\n",
       "      <td>8.33</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>elixir constant</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0%</td>\n",
       "      <td>8.33</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>207</th>\n",
       "      <td>erlang</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0%</td>\n",
       "      <td>8.50</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>208</th>\n",
       "      <td>firebase deploy cloud functions</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0%</td>\n",
       "      <td>8.50</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>206</th>\n",
       "      <td>cloud functions node 10</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0%</td>\n",
       "      <td>8.50</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>cloud functions デプロイ</td>\n",
       "      <td>4</td>\n",
       "      <td>67</td>\n",
       "      <td>5.97%</td>\n",
       "      <td>8.64</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0597</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>deploy cloud</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0%</td>\n",
       "      <td>8.67</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>elixir command line</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0%</td>\n",
       "      <td>8.75</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>唐突な自分語り</td>\n",
       "      <td>0</td>\n",
       "      <td>71</td>\n",
       "      <td>0%</td>\n",
       "      <td>8.79</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>307</th>\n",
       "      <td>cloud functions deploy</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0%</td>\n",
       "      <td>9.00</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>209</th>\n",
       "      <td>firebase cloud functions node 10</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0%</td>\n",
       "      <td>9.00</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>308</th>\n",
       "      <td>contains 意味</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0%</td>\n",
       "      <td>9.00</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>310</th>\n",
       "      <td>携帯電話はなぜつながるのか</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0%</td>\n",
       "      <td>9.00</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>309</th>\n",
       "      <td>deploy functions</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0%</td>\n",
       "      <td>9.00</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>306</th>\n",
       "      <td>cloud function example</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0%</td>\n",
       "      <td>9.00</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>firebase functions node 10</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>0%</td>\n",
       "      <td>9.10</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>janome 形態素解析</td>\n",
       "      <td>4</td>\n",
       "      <td>85</td>\n",
       "      <td>4.71%</td>\n",
       "      <td>9.15</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0471</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>tokenizer()</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0%</td>\n",
       "      <td>9.33</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>janome token</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>0%</td>\n",
       "      <td>9.33</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>cloud function database</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>33.33%</td>\n",
       "      <td>9.33</td>\n",
       "      <td>1</td>\n",
       "      <td>0.3333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>形態素解析 janome</td>\n",
       "      <td>0</td>\n",
       "      <td>48</td>\n",
       "      <td>0%</td>\n",
       "      <td>9.38</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>210</th>\n",
       "      <td>optionparser boolean</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0%</td>\n",
       "      <td>9.50</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>firebase cloud functions deploy</td>\n",
       "      <td>0</td>\n",
       "      <td>22</td>\n",
       "      <td>0%</td>\n",
       "      <td>9.68</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                              keyword  click_num  display_num     ctr  top_n  \\\n",
       "18                    mecab janome 比較          2           14  14.29%   2.00   \n",
       "2                     janome mecab 違い         12           37  32.43%   2.16   \n",
       "1                        mecab janome         32          114  28.07%   2.99   \n",
       "31               elixir option parser          1            6  16.67%   3.00   \n",
       "0                        janome mecab         38          215  17.67%   3.18   \n",
       "20                optionparser elixir          2            8     25%   3.38   \n",
       "3                       elixir python         10           45  22.22%   4.13   \n",
       "8                          elixir cli          4           27  14.81%   4.56   \n",
       "4                     mecab tokenizer          7           68  10.29%   4.79   \n",
       "298                  elixir constants          0            1      0%   5.00   \n",
       "87                       elixir const          0           10      0%   5.10   \n",
       "12                      python elixir          3           28  10.71%   5.68   \n",
       "75             mecab tokenizer python          0           18      0%   5.94   \n",
       "299     elixir command line arguments          0            1      0%   6.00   \n",
       "13                     part_of_speech          3           20     15%   6.15   \n",
       "28                          elixir 定数          1           10     10%   6.20   \n",
       "88                      python-elixir          0           10      0%   6.60   \n",
       "32                     elixir closure          1            6  16.67%   6.67   \n",
       "302                        golang 関数型          0            1      0%   7.00   \n",
       "301                       elixir rand          0            1      0%   7.00   \n",
       "300                   elixir infinity          0            1      0%   7.00   \n",
       "15              cloud function deploy          2           41   4.88%   7.46   \n",
       "9                     python 形態素解析 比較          3          118   2.54%   7.50   \n",
       "128                  functions deploy          0            5      0%   8.00   \n",
       "303                       conpass 勉強会          0            1      0%   8.00   \n",
       "304         firebase function node 10          0            1      0%   8.00   \n",
       "305                        go言語 作れるもの          0            1      0%   8.00   \n",
       "33     firebase cloud function deploy          1            6  16.67%   8.17   \n",
       "168                          \"golang\"          0            3      0%   8.33   \n",
       "169                   elixir constant          0            3      0%   8.33   \n",
       "207                            erlang          0            2      0%   8.50   \n",
       "208   firebase deploy cloud functions          0            2      0%   8.50   \n",
       "206           cloud functions node 10          0            2      0%   8.50   \n",
       "7                cloud functions デプロイ          4           67   5.97%   8.64   \n",
       "170                      deploy cloud          0            3      0%   8.67   \n",
       "145               elixir command line          0            4      0%   8.75   \n",
       "55                            唐突な自分語り          0           71      0%   8.79   \n",
       "307            cloud functions deploy          0            1      0%   9.00   \n",
       "209  firebase cloud functions node 10          0            2      0%   9.00   \n",
       "308                       contains 意味          0            1      0%   9.00   \n",
       "310                     携帯電話はなぜつながるのか          0            1      0%   9.00   \n",
       "309                  deploy functions          0            1      0%   9.00   \n",
       "306            cloud function example          0            1      0%   9.00   \n",
       "89         firebase functions node 10          0           10      0%   9.10   \n",
       "6                        janome 形態素解析          4           85   4.71%   9.15   \n",
       "171                       tokenizer()          0            3      0%   9.33   \n",
       "95                       janome token          0            9      0%   9.33   \n",
       "38            cloud function database          1            3  33.33%   9.33   \n",
       "59                       形態素解析 janome          0           48      0%   9.38   \n",
       "210              optionparser boolean          0            2      0%   9.50   \n",
       "71    firebase cloud functions deploy          0           22      0%   9.68   \n",
       "\n",
       "     page_num  float_ctr  \n",
       "18          1     0.1429  \n",
       "2           1     0.3243  \n",
       "1           1     0.2807  \n",
       "31          1     0.1667  \n",
       "0           1     0.1767  \n",
       "20          1     0.2500  \n",
       "3           1     0.2222  \n",
       "8           1     0.1481  \n",
       "4           1     0.1029  \n",
       "298         1     0.0000  \n",
       "87          1     0.0000  \n",
       "12          1     0.1071  \n",
       "75          1     0.0000  \n",
       "299         1     0.0000  \n",
       "13          1     0.1500  \n",
       "28          1     0.1000  \n",
       "88          1     0.0000  \n",
       "32          1     0.1667  \n",
       "302         1     0.0000  \n",
       "301         1     0.0000  \n",
       "300         1     0.0000  \n",
       "15          1     0.0488  \n",
       "9           1     0.0254  \n",
       "128         1     0.0000  \n",
       "303         1     0.0000  \n",
       "304         1     0.0000  \n",
       "305         1     0.0000  \n",
       "33          1     0.1667  \n",
       "168         1     0.0000  \n",
       "169         1     0.0000  \n",
       "207         1     0.0000  \n",
       "208         1     0.0000  \n",
       "206         1     0.0000  \n",
       "7           1     0.0597  \n",
       "170         1     0.0000  \n",
       "145         1     0.0000  \n",
       "55          1     0.0000  \n",
       "307         1     0.0000  \n",
       "209         1     0.0000  \n",
       "308         1     0.0000  \n",
       "310         1     0.0000  \n",
       "309         1     0.0000  \n",
       "306         1     0.0000  \n",
       "89          1     0.0000  \n",
       "6           1     0.0471  \n",
       "171         1     0.0000  \n",
       "95          1     0.0000  \n",
       "38          1     0.3333  \n",
       "59          1     0.0000  \n",
       "210         1     0.0000  \n",
       "71          1     0.0000  "
      ]
     },
     "execution_count": 168,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "##　top_nの値から何ページ目に表示されているのかを算出してカラムに追加\n",
    "add_page_num = read_csv.assign(\n",
    "    page_num=lambda df: df.top_n.apply(lambda row: calc_page_num(row)),\n",
    "    float_ctr=lambda df: df.ctr.apply(lambda row: per_to_float(row))\n",
    ")\n",
    "\n",
    "## ２番目に表示される記事が何なのかを確認 & １ページ目に表示されるkeywordの入力パターンを確認\n",
    "display_on_one_page = add_page_num.sort_values(\"top_n\")[add_page_num.page_num == 1]\n",
    "display_on_one_page"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 228,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "counts:  19\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>keyword</th>\n",
       "      <th>click_num</th>\n",
       "      <th>display_num</th>\n",
       "      <th>ctr</th>\n",
       "      <th>top_n</th>\n",
       "      <th>page_num</th>\n",
       "      <th>float_ctr</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>mecab janome 比較</td>\n",
       "      <td>2</td>\n",
       "      <td>14</td>\n",
       "      <td>14.29%</td>\n",
       "      <td>2.00</td>\n",
       "      <td>1</td>\n",
       "      <td>0.1429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>janome mecab 違い</td>\n",
       "      <td>12</td>\n",
       "      <td>37</td>\n",
       "      <td>32.43%</td>\n",
       "      <td>2.16</td>\n",
       "      <td>1</td>\n",
       "      <td>0.3243</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>mecab janome</td>\n",
       "      <td>32</td>\n",
       "      <td>114</td>\n",
       "      <td>28.07%</td>\n",
       "      <td>2.99</td>\n",
       "      <td>1</td>\n",
       "      <td>0.2807</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>elixir option parser</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>16.67%</td>\n",
       "      <td>3.00</td>\n",
       "      <td>1</td>\n",
       "      <td>0.1667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>janome mecab</td>\n",
       "      <td>38</td>\n",
       "      <td>215</td>\n",
       "      <td>17.67%</td>\n",
       "      <td>3.18</td>\n",
       "      <td>1</td>\n",
       "      <td>0.1767</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>optionparser elixir</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>25%</td>\n",
       "      <td>3.38</td>\n",
       "      <td>1</td>\n",
       "      <td>0.2500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>elixir python</td>\n",
       "      <td>10</td>\n",
       "      <td>45</td>\n",
       "      <td>22.22%</td>\n",
       "      <td>4.13</td>\n",
       "      <td>1</td>\n",
       "      <td>0.2222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>elixir cli</td>\n",
       "      <td>4</td>\n",
       "      <td>27</td>\n",
       "      <td>14.81%</td>\n",
       "      <td>4.56</td>\n",
       "      <td>1</td>\n",
       "      <td>0.1481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>mecab tokenizer</td>\n",
       "      <td>7</td>\n",
       "      <td>68</td>\n",
       "      <td>10.29%</td>\n",
       "      <td>4.79</td>\n",
       "      <td>1</td>\n",
       "      <td>0.1029</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>python elixir</td>\n",
       "      <td>3</td>\n",
       "      <td>28</td>\n",
       "      <td>10.71%</td>\n",
       "      <td>5.68</td>\n",
       "      <td>1</td>\n",
       "      <td>0.1071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>part_of_speech</td>\n",
       "      <td>3</td>\n",
       "      <td>20</td>\n",
       "      <td>15%</td>\n",
       "      <td>6.15</td>\n",
       "      <td>1</td>\n",
       "      <td>0.1500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>elixir 定数</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>10%</td>\n",
       "      <td>6.20</td>\n",
       "      <td>1</td>\n",
       "      <td>0.1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>elixir closure</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>16.67%</td>\n",
       "      <td>6.67</td>\n",
       "      <td>1</td>\n",
       "      <td>0.1667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>cloud function deploy</td>\n",
       "      <td>2</td>\n",
       "      <td>41</td>\n",
       "      <td>4.88%</td>\n",
       "      <td>7.46</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0488</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>python 形態素解析 比較</td>\n",
       "      <td>3</td>\n",
       "      <td>118</td>\n",
       "      <td>2.54%</td>\n",
       "      <td>7.50</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>firebase cloud function deploy</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>16.67%</td>\n",
       "      <td>8.17</td>\n",
       "      <td>1</td>\n",
       "      <td>0.1667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>cloud functions デプロイ</td>\n",
       "      <td>4</td>\n",
       "      <td>67</td>\n",
       "      <td>5.97%</td>\n",
       "      <td>8.64</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0597</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>janome 形態素解析</td>\n",
       "      <td>4</td>\n",
       "      <td>85</td>\n",
       "      <td>4.71%</td>\n",
       "      <td>9.15</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0471</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>cloud function database</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>33.33%</td>\n",
       "      <td>9.33</td>\n",
       "      <td>1</td>\n",
       "      <td>0.3333</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           keyword  click_num  display_num     ctr  top_n  \\\n",
       "18                 mecab janome 比較          2           14  14.29%   2.00   \n",
       "2                  janome mecab 違い         12           37  32.43%   2.16   \n",
       "1                     mecab janome         32          114  28.07%   2.99   \n",
       "31            elixir option parser          1            6  16.67%   3.00   \n",
       "0                     janome mecab         38          215  17.67%   3.18   \n",
       "20             optionparser elixir          2            8     25%   3.38   \n",
       "3                    elixir python         10           45  22.22%   4.13   \n",
       "8                       elixir cli          4           27  14.81%   4.56   \n",
       "4                  mecab tokenizer          7           68  10.29%   4.79   \n",
       "12                   python elixir          3           28  10.71%   5.68   \n",
       "13                  part_of_speech          3           20     15%   6.15   \n",
       "28                       elixir 定数          1           10     10%   6.20   \n",
       "32                  elixir closure          1            6  16.67%   6.67   \n",
       "15           cloud function deploy          2           41   4.88%   7.46   \n",
       "9                  python 形態素解析 比較          3          118   2.54%   7.50   \n",
       "33  firebase cloud function deploy          1            6  16.67%   8.17   \n",
       "7             cloud functions デプロイ          4           67   5.97%   8.64   \n",
       "6                     janome 形態素解析          4           85   4.71%   9.15   \n",
       "38         cloud function database          1            3  33.33%   9.33   \n",
       "\n",
       "    page_num  float_ctr  \n",
       "18         1     0.1429  \n",
       "2          1     0.3243  \n",
       "1          1     0.2807  \n",
       "31         1     0.1667  \n",
       "0          1     0.1767  \n",
       "20         1     0.2500  \n",
       "3          1     0.2222  \n",
       "8          1     0.1481  \n",
       "4          1     0.1029  \n",
       "12         1     0.1071  \n",
       "13         1     0.1500  \n",
       "28         1     0.1000  \n",
       "32         1     0.1667  \n",
       "15         1     0.0488  \n",
       "9          1     0.0254  \n",
       "33         1     0.1667  \n",
       "7          1     0.0597  \n",
       "6          1     0.0471  \n",
       "38         1     0.3333  "
      ]
     },
     "execution_count": 228,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 1ページに表示されるが、クリックされるキーワードの組み合わせ数はもっと少ない\n",
    "one_page_and_clicked_keywords = display_on_one_page[display_on_one_page.float_ctr != 0]\n",
    "print(\"counts: \", len(one_page_and_clicked_keywords))\n",
    "one_page_and_clicked_keywords"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 289,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[info]: mecab: 5\n",
      "[info]: janome: 5\n",
      "[info]: 比較: 2\n",
      "[info]: 違い: 1\n",
      "[info]: elixir: 7\n",
      "[info]: option: 1\n",
      "[info]: parser: 1\n",
      "[info]: optionparser: 1\n",
      "[info]: python: 3\n",
      "[info]: cli: 1\n",
      "[info]: tokenizer: 1\n",
      "[info]: part_of_speech: 1\n",
      "[info]: 定数: 1\n",
      "[info]: closure: 1\n",
      "[info]: cloud: 4\n",
      "[info]: function: 3\n",
      "[info]: deploy: 2\n",
      "[info]: 形態素解析: 2\n",
      "[info]: firebase: 1\n",
      "[info]: functions: 1\n",
      "[info]: デプロイ: 1\n",
      "[info]: database: 1\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[('function', 3), ('cloud', 4), ('mecab', 5), ('janome', 5), ('elixir', 7)]"
      ]
     },
     "execution_count": 289,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# その中で際頻出の単語\n",
    "splied_words = [w.split(\" \") for w in one_page_and_clicked_keywords.keyword.tolist()]\n",
    "splied_words = sum(splied_words, [])\n",
    "count_words = collections.Counter(splied_words)\n",
    "\n",
    "# グラフ化すると文字サイズで潰れるので出力で確認\n",
    "for k, v in count_words.items():\n",
    "    print(f\"[info]: {k}: {v}\")\n",
    "\n",
    "# 頻出単語の上位５件\n",
    "top_5 = sorted(count_words.items(), key=lambda x:x[1])[-5:]\n",
    "top_5"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 頻出キーワードからの考察\n",
    "- 自分が抑えたいElixirの単語が含まれているのは素直に嬉しい\n",
    "- その一方でほとんど意識していない「mecab, janome」のような形態素解析に関連する単語, 「function, cloud」、これは絶対にcloud function...　というようにやはり世間のトレンドとなるトピックを指定するのが重要だと感じる\n",
    "- 上位に現れている単語は具体的なものが多く、調べたい内容が一目で分かる。(closureとかtokenizerとか)\n",
    "- いうて2回だが、このデータ数を考えると「比較」という単語がパワーを持っているのだと考えられる"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 337,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 上位の頻出キーワードを含む検索キーワードの組み合わせの確認\n",
    "def res_df_contains_speced_keyword(df, keyword, ctr_valida=False):\n",
    "    # df -> google search conosleからdownloadされるcsvの形式をDataFrameに変換したもの\n",
    "    filtered = df.assign(\n",
    "        is_contains=lambda df: df.keyword.apply(lambda row: keyword in row)\n",
    "    )\n",
    "    \n",
    "    # ctrが0%の値を除去するかどうか\n",
    "    if ctr_valida:\n",
    "        filtered =  filtered[filtered.float_ctr != 0]\n",
    "    \n",
    "    return filtered[filtered.is_contains == True].drop(\"is_contains\", axis=1).sort_values(by=[\"float_ctr\", \"display_num\"], ascending=False)\n",
    "\n",
    "# ほぼloggerみたいなの\n",
    "def display_res(res, index):\n",
    "    print(\"keyword: \", res[index][0])\n",
    "    return res[index][1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 338,
   "metadata": {},
   "outputs": [],
   "source": [
    "# top_5の単語が含まれている検索キーワードの組み合わせを確認\n",
    "res = [(keyword[0], res_df_contains_speced_keyword(add_page_num, keyword[0], True)) for keyword in top_5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 339,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "keyword:  function\n"
     ]
    },
    {
     "data": {
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       "      <th></th>\n",
       "      <th>keyword</th>\n",
       "      <th>click_num</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>firebase cloud functions example</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>100%</td>\n",
       "      <td>11.00</td>\n",
       "      <td>2</td>\n",
       "      <td>1.0000</td>\n",
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       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>firebase functions 言語</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>50%</td>\n",
       "      <td>47.00</td>\n",
       "      <td>5</td>\n",
       "      <td>0.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>cloud function database</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>33.33%</td>\n",
       "      <td>9.33</td>\n",
       "      <td>1</td>\n",
       "      <td>0.3333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>firebase cloud function deploy</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>16.67%</td>\n",
       "      <td>8.17</td>\n",
       "      <td>1</td>\n",
       "      <td>0.1667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>cloud functions デプロイ</td>\n",
       "      <td>4</td>\n",
       "      <td>67</td>\n",
       "      <td>5.97%</td>\n",
       "      <td>8.64</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0597</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>cloud function deploy</td>\n",
       "      <td>2</td>\n",
       "      <td>41</td>\n",
       "      <td>4.88%</td>\n",
       "      <td>7.46</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0488</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                             keyword  click_num  display_num     ctr  top_n  \\\n",
       "45  firebase cloud functions example          1            1    100%  11.00   \n",
       "44             firebase functions 言語          1            2     50%  47.00   \n",
       "38           cloud function database          1            3  33.33%   9.33   \n",
       "33    firebase cloud function deploy          1            6  16.67%   8.17   \n",
       "7               cloud functions デプロイ          4           67   5.97%   8.64   \n",
       "15             cloud function deploy          2           41   4.88%   7.46   \n",
       "\n",
       "    page_num  float_ctr  \n",
       "45         2     1.0000  \n",
       "44         5     0.5000  \n",
       "38         1     0.3333  \n",
       "33         1     0.1667  \n",
       "7          1     0.0597  \n",
       "15         1     0.0488  "
      ]
     },
     "execution_count": 339,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "display_res(res, 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 340,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "keyword:  cloud\n"
     ]
    },
    {
     "data": {
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       "      <th>keyword</th>\n",
       "      <th>click_num</th>\n",
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       "      <th>45</th>\n",
       "      <td>firebase cloud functions example</td>\n",
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       "      <td>1</td>\n",
       "      <td>100%</td>\n",
       "      <td>11.00</td>\n",
       "      <td>2</td>\n",
       "      <td>1.0000</td>\n",
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       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>cloud function database</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>33.33%</td>\n",
       "      <td>9.33</td>\n",
       "      <td>1</td>\n",
       "      <td>0.3333</td>\n",
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       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>firebase cloud function deploy</td>\n",
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       "      <td>6</td>\n",
       "      <td>16.67%</td>\n",
       "      <td>8.17</td>\n",
       "      <td>1</td>\n",
       "      <td>0.1667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>cloud functions デプロイ</td>\n",
       "      <td>4</td>\n",
       "      <td>67</td>\n",
       "      <td>5.97%</td>\n",
       "      <td>8.64</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0597</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>cloud function deploy</td>\n",
       "      <td>2</td>\n",
       "      <td>41</td>\n",
       "      <td>4.88%</td>\n",
       "      <td>7.46</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0488</td>\n",
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      ],
      "text/plain": [
       "                             keyword  click_num  display_num     ctr  top_n  \\\n",
       "45  firebase cloud functions example          1            1    100%  11.00   \n",
       "38           cloud function database          1            3  33.33%   9.33   \n",
       "33    firebase cloud function deploy          1            6  16.67%   8.17   \n",
       "7               cloud functions デプロイ          4           67   5.97%   8.64   \n",
       "15             cloud function deploy          2           41   4.88%   7.46   \n",
       "\n",
       "    page_num  float_ctr  \n",
       "45         2     1.0000  \n",
       "38         1     0.3333  \n",
       "33         1     0.1667  \n",
       "7          1     0.0597  \n",
       "15         1     0.0488  "
      ]
     },
     "execution_count": 340,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "display_res(res, 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 341,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "keyword:  mecab\n"
     ]
    },
    {
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>keyword</th>\n",
       "      <th>click_num</th>\n",
       "      <th>display_num</th>\n",
       "      <th>ctr</th>\n",
       "      <th>top_n</th>\n",
       "      <th>page_num</th>\n",
       "      <th>float_ctr</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>janome mecab 違い</td>\n",
       "      <td>12</td>\n",
       "      <td>37</td>\n",
       "      <td>32.43%</td>\n",
       "      <td>2.16</td>\n",
       "      <td>1</td>\n",
       "      <td>0.3243</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>mecab janome</td>\n",
       "      <td>32</td>\n",
       "      <td>114</td>\n",
       "      <td>28.07%</td>\n",
       "      <td>2.99</td>\n",
       "      <td>1</td>\n",
       "      <td>0.2807</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>janome mecab</td>\n",
       "      <td>38</td>\n",
       "      <td>215</td>\n",
       "      <td>17.67%</td>\n",
       "      <td>3.18</td>\n",
       "      <td>1</td>\n",
       "      <td>0.1767</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>mecab janome 比較</td>\n",
       "      <td>2</td>\n",
       "      <td>14</td>\n",
       "      <td>14.29%</td>\n",
       "      <td>2.00</td>\n",
       "      <td>1</td>\n",
       "      <td>0.1429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>mecab tokenizer</td>\n",
       "      <td>7</td>\n",
       "      <td>68</td>\n",
       "      <td>10.29%</td>\n",
       "      <td>4.79</td>\n",
       "      <td>1</td>\n",
       "      <td>0.1029</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>mecab</td>\n",
       "      <td>1</td>\n",
       "      <td>177</td>\n",
       "      <td>0.56%</td>\n",
       "      <td>67.29</td>\n",
       "      <td>7</td>\n",
       "      <td>0.0056</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            keyword  click_num  display_num     ctr  top_n  page_num  \\\n",
       "2   janome mecab 違い         12           37  32.43%   2.16         1   \n",
       "1      mecab janome         32          114  28.07%   2.99         1   \n",
       "0      janome mecab         38          215  17.67%   3.18         1   \n",
       "18  mecab janome 比較          2           14  14.29%   2.00         1   \n",
       "4   mecab tokenizer          7           68  10.29%   4.79         1   \n",
       "22            mecab          1          177   0.56%  67.29         7   \n",
       "\n",
       "    float_ctr  \n",
       "2      0.3243  \n",
       "1      0.2807  \n",
       "0      0.1767  \n",
       "18     0.1429  \n",
       "4      0.1029  \n",
       "22     0.0056  "
      ]
     },
     "execution_count": 341,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "display_res(res, 2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 333,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "keyword:  janome\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>keyword</th>\n",
       "      <th>click_num</th>\n",
       "      <th>display_num</th>\n",
       "      <th>ctr</th>\n",
       "      <th>top_n</th>\n",
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       "      <th>float_ctr</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>janome 品詞</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>33.33%</td>\n",
       "      <td>17.00</td>\n",
       "      <td>2</td>\n",
       "      <td>0.3333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>janome mecab 違い</td>\n",
       "      <td>12</td>\n",
       "      <td>37</td>\n",
       "      <td>32.43%</td>\n",
       "      <td>2.16</td>\n",
       "      <td>1</td>\n",
       "      <td>0.3243</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>mecab janome</td>\n",
       "      <td>32</td>\n",
       "      <td>114</td>\n",
       "      <td>28.07%</td>\n",
       "      <td>2.99</td>\n",
       "      <td>1</td>\n",
       "      <td>0.2807</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>janome 名詞のみ</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>25%</td>\n",
       "      <td>10.00</td>\n",
       "      <td>2</td>\n",
       "      <td>0.2500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>janome mecab</td>\n",
       "      <td>38</td>\n",
       "      <td>215</td>\n",
       "      <td>17.67%</td>\n",
       "      <td>3.18</td>\n",
       "      <td>1</td>\n",
       "      <td>0.1767</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>mecab janome 比較</td>\n",
       "      <td>2</td>\n",
       "      <td>14</td>\n",
       "      <td>14.29%</td>\n",
       "      <td>2.00</td>\n",
       "      <td>1</td>\n",
       "      <td>0.1429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>janome.tokenizer</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>10%</td>\n",
       "      <td>12.20</td>\n",
       "      <td>2</td>\n",
       "      <td>0.1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>janome tokenizer</td>\n",
       "      <td>2</td>\n",
       "      <td>42</td>\n",
       "      <td>4.76%</td>\n",
       "      <td>10.81</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0476</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>janome 形態素解析</td>\n",
       "      <td>4</td>\n",
       "      <td>85</td>\n",
       "      <td>4.71%</td>\n",
       "      <td>9.15</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0471</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>janome python</td>\n",
       "      <td>3</td>\n",
       "      <td>67</td>\n",
       "      <td>4.48%</td>\n",
       "      <td>15.54</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0448</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>python janome</td>\n",
       "      <td>1</td>\n",
       "      <td>58</td>\n",
       "      <td>1.72%</td>\n",
       "      <td>16.36</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0172</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             keyword  click_num  display_num     ctr  top_n  page_num  \\\n",
       "39         janome 品詞          1            3  33.33%  17.00         2   \n",
       "2    janome mecab 違い         12           37  32.43%   2.16         1   \n",
       "1       mecab janome         32          114  28.07%   2.99         1   \n",
       "37       janome 名詞のみ          1            4     25%  10.00         2   \n",
       "0       janome mecab         38          215  17.67%   3.18         1   \n",
       "18   mecab janome 比較          2           14  14.29%   2.00         1   \n",
       "29  janome.tokenizer          1           10     10%  12.20         2   \n",
       "14  janome tokenizer          2           42   4.76%  10.81         2   \n",
       "6       janome 形態素解析          4           85   4.71%   9.15         1   \n",
       "10     janome python          3           67   4.48%  15.54         2   \n",
       "24     python janome          1           58   1.72%  16.36         2   \n",
       "\n",
       "    float_ctr  \n",
       "39     0.3333  \n",
       "2      0.3243  \n",
       "1      0.2807  \n",
       "37     0.2500  \n",
       "0      0.1767  \n",
       "18     0.1429  \n",
       "29     0.1000  \n",
       "14     0.0476  \n",
       "6      0.0471  \n",
       "10     0.0448  \n",
       "24     0.0172  "
      ]
     },
     "execution_count": 333,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "display_res(res, 3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 334,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "keyword:  elixir\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>keyword</th>\n",
       "      <th>click_num</th>\n",
       "      <th>display_num</th>\n",
       "      <th>ctr</th>\n",
       "      <th>top_n</th>\n",
       "      <th>page_num</th>\n",
       "      <th>float_ctr</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>elixir cli app</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>100%</td>\n",
       "      <td>13.00</td>\n",
       "      <td>2</td>\n",
       "      <td>1.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>elixir genserver terminate</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>100%</td>\n",
       "      <td>16.00</td>\n",
       "      <td>2</td>\n",
       "      <td>1.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>elixir 言語</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>100%</td>\n",
       "      <td>33.00</td>\n",
       "      <td>4</td>\n",
       "      <td>1.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>elixir csv</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>50%</td>\n",
       "      <td>15.50</td>\n",
       "      <td>2</td>\n",
       "      <td>0.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>elixir optionparser</td>\n",
       "      <td>6</td>\n",
       "      <td>18</td>\n",
       "      <td>33.33%</td>\n",
       "      <td>13.33</td>\n",
       "      <td>2</td>\n",
       "      <td>0.3333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>elixir vscode</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>33.33%</td>\n",
       "      <td>29.67</td>\n",
       "      <td>3</td>\n",
       "      <td>0.3333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>optionparser elixir</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>25%</td>\n",
       "      <td>3.38</td>\n",
       "      <td>1</td>\n",
       "      <td>0.2500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>elixir python</td>\n",
       "      <td>10</td>\n",
       "      <td>45</td>\n",
       "      <td>22.22%</td>\n",
       "      <td>4.13</td>\n",
       "      <td>1</td>\n",
       "      <td>0.2222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>elixir option parser</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>16.67%</td>\n",
       "      <td>3.00</td>\n",
       "      <td>1</td>\n",
       "      <td>0.1667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>elixir closure</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>16.67%</td>\n",
       "      <td>6.67</td>\n",
       "      <td>1</td>\n",
       "      <td>0.1667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>elixir cli</td>\n",
       "      <td>4</td>\n",
       "      <td>27</td>\n",
       "      <td>14.81%</td>\n",
       "      <td>4.56</td>\n",
       "      <td>1</td>\n",
       "      <td>0.1481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>python elixir</td>\n",
       "      <td>3</td>\n",
       "      <td>28</td>\n",
       "      <td>10.71%</td>\n",
       "      <td>5.68</td>\n",
       "      <td>1</td>\n",
       "      <td>0.1071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>elixir 定数</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>10%</td>\n",
       "      <td>6.20</td>\n",
       "      <td>1</td>\n",
       "      <td>0.1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>elixir 入門</td>\n",
       "      <td>2</td>\n",
       "      <td>21</td>\n",
       "      <td>9.52%</td>\n",
       "      <td>29.86</td>\n",
       "      <td>3</td>\n",
       "      <td>0.0952</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       keyword  click_num  display_num     ctr  top_n  \\\n",
       "46              elixir cli app          1            1    100%  13.00   \n",
       "47  elixir genserver terminate          1            1    100%  16.00   \n",
       "51                   elixir 言語          1            1    100%  33.00   \n",
       "42                  elixir csv          1            2     50%  15.50   \n",
       "5          elixir optionparser          6           18  33.33%  13.33   \n",
       "40               elixir vscode          1            3  33.33%  29.67   \n",
       "20         optionparser elixir          2            8     25%   3.38   \n",
       "3                elixir python         10           45  22.22%   4.13   \n",
       "31        elixir option parser          1            6  16.67%   3.00   \n",
       "32              elixir closure          1            6  16.67%   6.67   \n",
       "8                   elixir cli          4           27  14.81%   4.56   \n",
       "12               python elixir          3           28  10.71%   5.68   \n",
       "28                   elixir 定数          1           10     10%   6.20   \n",
       "17                   elixir 入門          2           21   9.52%  29.86   \n",
       "\n",
       "    page_num  float_ctr  \n",
       "46         2     1.0000  \n",
       "47         2     1.0000  \n",
       "51         4     1.0000  \n",
       "42         2     0.5000  \n",
       "5          2     0.3333  \n",
       "40         3     0.3333  \n",
       "20         1     0.2500  \n",
       "3          1     0.2222  \n",
       "31         1     0.1667  \n",
       "32         1     0.1667  \n",
       "8          1     0.1481  \n",
       "12         1     0.1071  \n",
       "28         1     0.1000  \n",
       "17         3     0.0952  "
      ]
     },
     "execution_count": 334,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "display_res(res, 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 336,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<HTML><HEAD><meta http-equiv=\"content-type\" content=\"text/html;charset=utf-8\">\r\n",
      "<TITLE>301 Moved</TITLE></HEAD><BODY>\r\n",
      "<H1>301 Moved</H1>\r\n",
      "The document has moved\r\n",
      "<A HREF=\"https://www.google.com/search?q=%E3%81%8B%E3%81%AB\">here</A>.\r",
      "\r\n",
      "</BODY></HTML>\r",
      "\r\n"
     ]
    }
   ],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# ページ番号とCTRについての考察"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 220,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x114fbec18>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Nページに表示される項目をカウント\n",
    "page_num_counts = add_page_num.page_num.value_counts().to_dict()\n",
    "plt.pie(\n",
    "    np.array([v for _, v in page_num_counts.items()]),\n",
    "    counterclock=False,\n",
    "    startangle=90,\n",
    "    autopct=\"%1.1f%%\",\n",
    "    labels=[k for k, _ in page_num_counts.items()],\n",
    ")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 221,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1145a94e0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# bins=4(色々と試して4がいい感じに見えるので結果的に4でfix)で度数分布を確認\n",
    "frequency = display_on_one_page.float_ctr.value_counts(bins=4)\n",
    "\n",
    "# 各度数分布の割合を確認\n",
    "ctr_rate = [n / sum(frequency) for n in frequency]\n",
    "plt.pie(\n",
    "    np.array(ctr_rate), \n",
    "    labels= [k for k, v in frequency.to_dict().items()],\n",
    "    counterclock=False,\n",
    "    startangle=90,\n",
    "    autopct=\"%1.1f%%\",\n",
    ")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1138680b8>"
      ]
     },
     "execution_count": 158,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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bmSXCgW5mloi6gS7pu5IekXRHzbatJF0t6d78v1uObZlmZlZPIz30i4CDBmybA1wTETsB1+TvzcysRHUDPSJ+Azw2YPOhwNz89VzgsILrMjOzJo10DL09IlYA5P/dtriSzMxsJBQR9Q+SpgHzI+L1+fu1EbFFzf41ETHoOLqkWcAsgPb29n26u7sLKPslvQ89Xmh7AO2bwqqni21zxtRJxTZYIX19fbS1tZVdRhJ8LotVlfPZ1dW1KCI66h03YYTtr5I0JSJWSJoCPDLUgRFxAXABQEdHR3R2do7wWw5u5pwFhbYHMHvGOs7uHempGdyyD3YW2l6V9PT0UPT/7q3K57JYqZ3PkQ65/AI4Ln99HDCvmHLMzGykGpm2+CPgD8AukpZLOgE4EzhQ0r3Agfl7MzMrUd1xhYg4ZohdBxRci5mZjYLvFDUzS4QD3cwsEQ50M7NEONDNzBLhQDczS4QD3cwsEQ50M7NEONDNzBLhQDczS4QD3cwsEQ50M7NEONDNzBLhQDczS4QD3cwsEQ50M7NEONDNzBLhQDczS4QD3cwsEcU+2t6q77RJxbe5y+lw2qHFtXfa48W1ZZYQ99DNzBIxqh66pGXAE8DzwLqI6CiiKDMza14RQy5dEbG6gHbMzGwUPORiZpaI0QZ6AL+StEjSrCIKMjOzkVFEjPzD0vYR8bCkbYGrgVMi4jcDjpkFzAJob2/fp7u7ezT1/o3eh4qf8dC+Kax6utg2Z0wdg9kjY2HF4sKb7Nt4e9r++nBxDU7Zq7i2xtBdj95VeJuTN5jMn5//c6Ft7r717oW2VyV9fX20tbWVXUZdXV1dixq5RjmqQH9ZQ9JpQF9EfHWoYzo6OmLhwoWFfL9+0+YsKLQ9gNkz1nF2b7EzOpedeXCh7Y2ZMZi22LPL6XQuPbW4BisybXHG3BmFt3lS20mc33d+oW32HtdbaHtV0tPTQ2dnZ9ll1CWpoUAf8ZCLpImSNu9/DbwTuGOk7ZmZ2eiMphvaDvxMUn87l0TELwupyszMmjbiQI+I+4E9C6zFzMxGwdMWzcwS4bVczKwSluy6W+FtPnPKySz56EmFtrnb3UsKba8Z7qGbmSXCgW5mlggHuplZIhzoZmaJcKCbmSXCgW5mlggHuplZIhzoZmaJcKCbmSXCgW5mlggHuplZIhzoZmaJcKCbmSXCgW5mlggHuplZIhzoZmaJcKCbmSXCgW5mlohRBbqkgyQtlfRHSXOKKsrMzJo34kCXtAFwHvBuYHfgGEm7F1WYmZk1ZzQ99H2BP0bE/RHxLNANHFpMWWZm1qzRBPpU4MGa98vzbWZmVgJFxMg+KB0JvCsiPpy/PxbYNyJOGXDcLGBW/nYXYOnIyx032wCryy4iIT6fxfG5LFZVzuerI2JyvYMmjOIbLAd2qHn/KuDhgQdFxAXABaP4PuNO0sKI6Ci7jlT4fBbH57JYqZ3P0Qy53AzsJOk1kjYC3g/8opiyzMysWSPuoUfEOkknA1cBGwDfjYg7C6vMzMyaMpohFyLiCuCKgmpZn1RqiKgCfD6L43NZrKTO54gvipqZ2frFt/6bmSXCgW5mlohRjaGnQNKnGjjsyYj49pgXU3GSDm/gsGfyay9Wh6StGjjshYhYO+bFJEBSI7PwHouImWNdy1hp+TF0SSuA8wENc9gHI2LncSqpsiQ9Csxj+HP59xHxunEqqdIkPUN2b8dw53ODiNhxnEqqNEn3Ah8e7hDgvIjYY5xKKlzL99CBH0TEvw53gKSJ41VMxV0ZEccPd4Cki8ermAQsiYi9hztA0q3jVUwC/iUirh/uAEmnj1cxY6Hle+hm6ytJm0TEM6M9xlpHy18UVeYoSUfmrw+QdK6kj0lq+fPTDEmHSNqk7DpSMVhQDxxXd5g3TtJ2ks6XdJ6krSWdJqlX0qWSppRdXxEcWNma7kcBxwI/AD4KLAT+HjinxLqq6MfAckk/kPSefM18GyFJX6h5vbuke4BFkpZJ2q/E0qrqIuAuslVirwOeBg4Gfgt8q7yyitPyQy6SeiNihqQNgZXAlIh4VtIE4NaImFFyiZWRj+fuDxxBtrbP64GfAT+qN3Zpf0vSLRHxxvz1AuAbEXGlpH2Br0fEW8qtsFok3dp/TULSA7UXkyUtjoi9yquuGO6hwzqAiHgOuDl/WAcRsQ54vszCKigiYk1EfCciDgD2JOsRnSnpwTqfteFtHxFXAkTETcCmJddTRbV59/1h9lWWZ7nASkltEdEXEQf1b5S0HfBsiXVV0cum10XESuBc4FxJry6npEp7bT53WsCrJG0WEU/l+zYssa6qmlfzb712OGs6cE+JdRWm5YdchpJPVZwYEY+UXUtVSOqMiJ6y60iFpLcP2LQoIvoktQNHRMR5ZdRl6y8HOi/2xomIlZImA28Dlno54NGR9EpgJ+D+iFhTdj3W2iQJOBII4Kdk13sOBe4GvhURL5RYXiGSGDcaDUknAn8AbpB0EjAfeC9wuaQTSi2uYiRdLGmb/PW7gDuBs4DF+SMLrQmSNpB0oqQvSXrrgH1fGOpzNqTkZ7S1fA9dUi+wH9lFpj8B0/Oe+pbAdSlc+R4v/TOG8tf/DXwgIpblIX9NROxZboXVIuk/gc2Am8hC6PqI+FS+78UZMNaYVpjR1vI9dOC5iHgqIh4F7ssv5JEPEbT2b7vmvSIfZgF4AXgAICJW4wvwI7FvRHwgIr5O1ulok3S5pI0Zfn0XG1zyM9oc6PBC/hsbspsMgOyWanx+mnU6cJ2k44HfAz+R9CFJFwG/LLWyatqo/0VErIuIWcBi4FqgrbSqqmulpDaAVGe0echF2hFYkf/Wrt0+FdgtIn5dTmXVlE8B+wiwM1mvfDnw84i4qtTCKihfyOziiPjlgO0fBs6PCE9dLEBKM9paPtABJE3I/+wi/w2+K9nMjMfKrczMipT6jLaWH1KQNBNYJekeSe8GbiebmXGbpGNKLS4hkr5Ydg0p6Q8ma1wrzGhr+R56PsulC9gcuA3YOyLuy2/euDoi3lBqgYkYuHaGjY6kBRFxcP0jrV8rzGjzzAN4Pp+FsVpSX0TcBxARq7L7EKxRkv4y1C689kihHOYj8ly+dMJTkl42o01SEj1bBzo8IOkrZD30uyWdDVwOvANYUWpl1bMWeFNErBq4w4tzjUx+d+O+wFSyabQPAzdFq/9pPTIvSNownwCR5Iy2JH6IUfpH4C9kszEOIRtj+xzQDswsr6xK+j4w1CJcl4xnISmQ9E7gXuA04D1kIXQ6cG++z5pzOPm9JRGxvGb71sDsUioqWMuPoZutryQtAd4dEcsGbH8NcEVE7FZKYbbeavkeuqRJks6UdLekxyQ9KmlJvm2LsuuzltY/j3+gh/DyuYWSdEHZNRTBY+hwKdmdd539F0nyKWEzgZ8AB5ZXWjq89siIfBe4WVI32WPTAHYgexrUhaVVlaZvl11AEVp+yEXS0ojYpdl9ZuNB0m5kS7xOJZsttBz4RUTcVWphtl5yDx3+JOkzwNz+2Rn5HPSZvNQrsibk5+/FWRmDzXqxxkTEEmBJ2XWkQNIksgkPhwGT882PAPOAMyNibVm1FaXlx9CBo8mucl+fj6E/BvQAW5GtnWwNkrSXpBvIzt+/A/9Bdl5vkOThFivbpcAasuHVrSNia7KbCteQDa9WXssPuVhxJC0GToyIGwdsfzPwba+HbmVqheFV99CH4V5l0yYODHOAiLgBmFhCPWa1/iTpM/mQIJAND0r6LIkMrzrQh3dS2QVUzJWSFkg6WtJb8q+jJS3A66EXRtKXJX1W0tZl11IxyQ+vesjFCpWvWDnYrIwrSi0sIZIOA14H7BkRHyq7Hlt/ONB58er3Qbx8vYyrUrjqbWato+WHXCR9CLgF6CR7IO9Esivfi/J9ZqWQ9DVJby27DquOlu+hS1oK7DewN56vkXxjROxcTmXW6iT9mWzd7snAj4EfRcSt5VZl67OW76GTjfMO9lvtBfxkdSvX8ojoIFvK+Qng4nzNoVMluaNREEkd+TOEK889dOk44IvAr3hp6tKOZGu4fCkiLiqptGRI+hjwKHBZ/7Nbrb7B1r+R9AbgGODIiJheTmVpkTQXeANwT0QcXXY9o9HygQ4vDq+8i5fPzLgqItaUWlgiJH2c7MHbr46IQ8qupyok3RoRe5ddR6uQtHlEPFF2HaPhQDdbT0lqi4i+sutIlaQ2YGfg/lRmtHkM3QqjzFGSjsxfHyDpXEkfk+T/rzXvWdU82FZSl6TZ+Vx/a5Kkb9a8/jvgLuBsoFfSe0orrEDuoVth8n8w2wIbkT3Wb2Pgv8gen7YqIj5RYnmVI+k2soWk1kj6NPA+4Arg7cDCiPhcqQVWTO01CUnXAbMj4hZJrwUuzS9AV5qXz7UivS0iZkjaEFgJTImIZyVdAni6XfM2qLmOczTZ+X1a0plk90440EfulRFxC0BE3C9pg7ILKoL/DB6CpLmSzpf0+rJrqZB1APlT1W+OiGfz9+uA58ssrKL+UvP/v9XAJvnrCfjf7kjsKul2Sb3AzvlkCPLhwCQe6ece+tC+QTZ98VjgsyXXUhUr+y/kRcRB/RvzR/o9W2JdVfVR4If50MsjwEJJ15NNsftyqZVV08CHavdfcN6KbOpy5XkM3cacpIlkS+s+UnYtVZMPBbyTbDZG/0Ojvc6QDarlAz3vPZ5KdmfoF4FTgH8ge+zXJyJiRYnlVU5+PomIlZImA28DlkbEneVWZq1O0ivJrju8CrgyIi6p2ffNiPhYacUVxONwcBHZ9KUHgeuAp4GDgd8C3yqvrOqRdCLwB+AGSScB84H3ApdLOqHU4hIj6cqya6ig75HdOHgZ8H5Jl0naON/35vLKKo576DV340l6ICJ2rNm3OCL2Kq+6askvNu0HbEq2qNT0vKe+JXCdz2VzhnliloD5ETFlPOupuoH/niX9C9mU2kOAqwcus1BFvij68r9Svj/MPqvvuYh4CnhK0n0RsRIgn0fd2j2HkbkZuJ7BF4nbYpxrScHGkl4RES8ARMQZkpYDvwHayi2tGA50mFczM+ML/RslTQfuKbGuKnpB0ob5tMWD+zdK2gT/chyJJWQP3b534A5JSTwDc5z9F7A/8Ov+DRExV9Iq4P+VVlWBWn7IxYojaUdgRR7otdunArtFxK8H/6QNRtIRQG9ELB1k32ER8fMSyrL1WMsHer5WxpFka6L/lOw3+KHA3cC3+v88s8ZImtC/RG6++NGuZIsfPVZuZWZDk/TG/jtHq8x/BsN5ZE/8Phb4AdnNHAuBvwfOKbGuypE0E1gl6Z58AanbgbOA2yQdU2pxiRnmgqmNzEllF1AE99Cl3iHWH5kA3BoRM0ousTLyWS5dwObAbcDeEXGfpHayWQRvKLXAhEj6TkR8pOw6bP3ii6I1649Ietn6I5K8/khzno+I1cBqSX0RcR9ARKyqWQXWCuAwHxlJk4CDyB5mE8DDJHTnrQPd648U6QFJXyHrod8t6WzgcrJnYvqO2xFIPYDGk6QPkd0V/ivgoXxzF/BlSadHxMBpy5XT8kMuQ/H6I83Lb63+OFnwfIMsiGYCD5A9n9Wh3oQhAuhVZM+7TSKAxpOkpcB+A38Z5je+3RgRlX/wtgMdrz9i66dWCKDxJOke4E0R8fiA7ZPIHhiyUzmVFaflh1zy9UfmZC91FlmP8k7gK5L+PSIuLLO+Ksn/YXwOOIzsyUVBtuzrPOBMDxM0TWTncKAXGPzuURveGcAtkn5FtnYTZEtkHwh8qbSqCtTyPXSvP1IcSVcB1wJz+2/7z//6mQkcEBEHllhe5Ug6jmwF0EEDKCIuKqm0ysr/Xb+L7JqEeGk54jXDfrAiHOgvf87gbRGxZ82+FxfusvokLY2IXZrdZ0NLPYDGkyRFncBr5Jj1WcsPueD1R4r0J0mfIeuhrwLI56DP5KUepjUoD5c1QHedYyobQOPsOkmXAfMi4oH+jZI2Av4OOI5sCe2Lyilv9BxYcDj5OGVELK/ZvjUwu5SKqutosvN2vaTHJD0G9JA94uuoMgurqOsknZKvkfMiSRtJ2l/SXLIQssYcRPZs2x9JeljSXZL+B7gXOAY4p+rDWC0/5GK2vsr/Sjwe+CDwGmAt2bWeV5CNq58XEYvLq7C68jtV1EkNAAACxElEQVTDtwGeTulivQN9GP3LApRdRwpSWfyoLKkGkBWr5cfQJR0+1C5gu/GsJXEnAb5dfYTyazy+McuG1fI9dEnPAT9k8Pm+R0TE5uNckpnZiDjQpUXAcRFxxyD7HoyIHUooq7K89ohZeTzLBT4J/GWIfe8bz0KqLl975BagE9gMmEi2+NGifJ+ZjaGW76Fbcbz2iFm5fFE0e5DFCWS98e15aZhgHnDhwOdj2rC89ohZiVo+0MkeO7cWOI3stmrIlig9DriY7GYZa0zyix+Zrc9afsilzvoj93iYoDlee8SsPO6hwxpJRwKXRcQLAJJeARwJOISa4LVHzMrlWS7wfuAIXnpa/b3AKrI1Xt5famXV47VHzErU8kMutSRtTXZOVpddSxV57RGzcjnQAUm7Aofy8pth5kXE3aUWVmFee8Rs/LX8kIukz5KN+Qq4Cbg5f90taU6ZtVVZRDwXESsc5mbjp+V76PmDY/cYON88X/T+zhQeHGtmraHle+hkN71sP8j2Kfk+M7NK8LTFbC2Xa/LZLbU3w0wHTi6tKjOzJrX8kAu8OO98X15+M8zNEfF8qYWZmTXBgW5mlgiPoQ9D0vyyazAza5R76MOQNCUi/NgvM6sEB3oNSVsB4YWkzKyKWn7IRdKOkrol/Rm4EbhZ0iP5tmnlVmdm1riWD3Tgx8DPgO0iYqeImE42B/3nDLNqoJnZ+qblh1wk3TvU3aDD7TMzW9/4xqLsAcbfBOby0o1FO5At83praVWZmTXJPfRszZYTeGm1xf4bi35B9kzRv5ZYnplZw1o+0M3MUuGLooOQdEvZNZiZNcuBPjiVXYCZWbMc6INbUHYBZmbNavkx9EaeQu8n1ZtZFbiH7ifVm1ki3EP3k+rNLBEtH+i1/KR6M6syB7qZWSI8hm5mlggHuplZIhzoZmaJcKCbmSXCgW5mloj/D1v373slk5qeAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x113747d68>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# CTRの度数分布を可視化\n",
    "frequency.plot(kind=\"bar\", title=\"frequency: CTR\", grid=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## CTRの分布より\n",
    "- トップページに表示されるキーワードの組み合わせのうち、クリックされうる可能性が10%を超えるのは全体の30%にも満たない\n",
    "- その上、そもそも１ページ目に表示されるキーワードの組み合わせが全体の9%程度"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}