Stackoverflowにはいつ質問すれば早く回答を得られやすいのか

stackoverflow.ipynb

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      "name": "Stackoverflowにはいつ質問すれば早く回答を得られやすいのか",
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    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "[View in Colaboratory](https://colab.research.google.com/gist/actindi/3d926013a9ed581ef8f8cba74a9acf90/stackoverflow.ipynb)"
      ]
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      "metadata": {
        "id": "3dEBREg_giLo",
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      "cell_type": "markdown",
      "source": [
        "## 目的\n",
        "Stackoverflowといえば、プログラマーとプログラミングに熱心な人向けのQ&Aサイトで、我々エンジニアの駆け込み寺的なサービスですが、いつ質問すれば早い回答を得られやすいのかを調べてみます。\n"
      ]
    },
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      "metadata": {
        "id": "jChSdqDhsU6f",
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      "cell_type": "markdown",
      "source": [
        "## クエリー\n",
        "以下のクエリーでStackoverflowの質問データと回答データから、次を抽出しました。\n",
        "\n",
        "- 曜日、時間毎の質問数、\n",
        "- 1時間以内に回答を得られた質問数\n",
        "- 1時間以内に回答を得られた質問の割合\n",
        "\n",
        "なお、時間はUTCです。"
      ]
    },
    {
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        "id": "vYLAa7AWdvZ7",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "#@title プロジェクトIDを指定します。 { run: \"auto\", display-mode: \"form\" }\n",
        "project_id = \"your project id\" #@param {type:\"string\"}\n",
        "\n",
        "from google.colab import auth\n",
        "auth.authenticate_user()"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
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        "id": "blQ6anOqRMSP",
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        "outputId": "b481f002-9c6f-4040-98ed-b313b68cd50e"
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      "cell_type": "code",
      "source": [
        "%%bigquery --project {project_id} df\n",
        "SELECT\n",
        "  Day_of_Week,\n",
        "  Hour_of_Day,\n",
        "  COUNT(1) AS Num_Questions,\n",
        "  SUM(answered_in_1h) AS Num_Answered_in_1H,\n",
        "  ROUND(100 * SUM(answered_in_1h) / COUNT(1),1) AS Percent_Answered_in_1H\n",
        "FROM\n",
        "(\n",
        "  SELECT\n",
        "    q.id AS question_id,\n",
        "    EXTRACT(DAYOFWEEK FROM q.creation_date) AS day_of_week,\n",
        "    EXTRACT(HOUR FROM q.creation_date) AS hour_of_day,\n",
        "    MAX(IF(a.parent_id IS NOT NULL AND\n",
        "           (UNIX_SECONDS(a.creation_date)-UNIX_SECONDS(q.creation_date))/(60*60) <= 1, 1, 0)) AS answered_in_1h\n",
        "  FROM\n",
        "    `bigquery-public-data.stackoverflow.posts_questions` q\n",
        "  LEFT JOIN\n",
        "    `bigquery-public-data.stackoverflow.posts_answers` a\n",
        "  ON q.id = a.parent_id\n",
        "  WHERE EXTRACT(YEAR FROM a.creation_date)= 2018\n",
        "    AND EXTRACT(YEAR FROM q.creation_date) = 2018\n",
        "  GROUP BY question_id, day_of_week, hour_of_day\n",
        ")\n",
        "GROUP BY\n",
        "  Day_of_Week,  hour_of_day\n",
        "ORDER BY\n",
        "  Day_of_Week, hour_of_day"
      ],
      "execution_count": 79,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <th></th>\n",
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              "      <th>4</th>\n",
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              "      <td>4</td>\n",
              "      <td>2487</td>\n",
              "      <td>1249</td>\n",
              "      <td>50.2</td>\n",
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              "    <tr>\n",
              "      <th>5</th>\n",
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              "      <td>2628</td>\n",
              "      <td>1365</td>\n",
              "      <td>51.9</td>\n",
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              "      <th>6</th>\n",
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              "      <td>1582</td>\n",
              "      <td>53.9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>1</td>\n",
              "      <td>7</td>\n",
              "      <td>3355</td>\n",
              "      <td>1839</td>\n",
              "      <td>54.8</td>\n",
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              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>1</td>\n",
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              "      <td>3554</td>\n",
              "      <td>1921</td>\n",
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              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>1</td>\n",
              "      <td>9</td>\n",
              "      <td>3758</td>\n",
              "      <td>2034</td>\n",
              "      <td>54.1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>1</td>\n",
              "      <td>10</td>\n",
              "      <td>3998</td>\n",
              "      <td>2139</td>\n",
              "      <td>53.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>1</td>\n",
              "      <td>11</td>\n",
              "      <td>4117</td>\n",
              "      <td>2281</td>\n",
              "      <td>55.4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>1</td>\n",
              "      <td>12</td>\n",
              "      <td>4331</td>\n",
              "      <td>2334</td>\n",
              "      <td>53.9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>1</td>\n",
              "      <td>13</td>\n",
              "      <td>4509</td>\n",
              "      <td>2521</td>\n",
              "      <td>55.9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>1</td>\n",
              "      <td>14</td>\n",
              "      <td>4742</td>\n",
              "      <td>2676</td>\n",
              "      <td>56.4</td>\n",
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              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>1</td>\n",
              "      <td>15</td>\n",
              "      <td>4895</td>\n",
              "      <td>2725</td>\n",
              "      <td>55.7</td>\n",
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              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>1</td>\n",
              "      <td>16</td>\n",
              "      <td>4855</td>\n",
              "      <td>2710</td>\n",
              "      <td>55.8</td>\n",
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              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>1</td>\n",
              "      <td>17</td>\n",
              "      <td>4896</td>\n",
              "      <td>2795</td>\n",
              "      <td>57.1</td>\n",
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              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>1</td>\n",
              "      <td>18</td>\n",
              "      <td>4771</td>\n",
              "      <td>2644</td>\n",
              "      <td>55.4</td>\n",
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              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>1</td>\n",
              "      <td>19</td>\n",
              "      <td>4529</td>\n",
              "      <td>2502</td>\n",
              "      <td>55.2</td>\n",
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              "      <th>20</th>\n",
              "      <td>1</td>\n",
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              "      <td>4243</td>\n",
              "      <td>2283</td>\n",
              "      <td>53.8</td>\n",
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              "      <td>3900</td>\n",
              "      <td>2113</td>\n",
              "      <td>54.2</td>\n",
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              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>1</td>\n",
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              "      <td>3389</td>\n",
              "      <td>1711</td>\n",
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              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>1</td>\n",
              "      <td>23</td>\n",
              "      <td>3016</td>\n",
              "      <td>1530</td>\n",
              "      <td>50.7</td>\n",
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              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2890</td>\n",
              "      <td>1419</td>\n",
              "      <td>49.1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>2999</td>\n",
              "      <td>1460</td>\n",
              "      <td>48.7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>3254</td>\n",
              "      <td>1616</td>\n",
              "      <td>49.7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>3412</td>\n",
              "      <td>1687</td>\n",
              "      <td>49.4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>2</td>\n",
              "      <td>4</td>\n",
              "      <td>3692</td>\n",
              "      <td>1994</td>\n",
              "      <td>54.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>2</td>\n",
              "      <td>5</td>\n",
              "      <td>4779</td>\n",
              "      <td>2701</td>\n",
              "      <td>56.5</td>\n",
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              "      <th>...</th>\n",
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              "      <td>...</td>\n",
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              "    <tr>\n",
              "      <th>138</th>\n",
              "      <td>6</td>\n",
              "      <td>18</td>\n",
              "      <td>7041</td>\n",
              "      <td>4061</td>\n",
              "      <td>57.7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>139</th>\n",
              "      <td>6</td>\n",
              "      <td>19</td>\n",
              "      <td>6713</td>\n",
              "      <td>3815</td>\n",
              "      <td>56.8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>140</th>\n",
              "      <td>6</td>\n",
              "      <td>20</td>\n",
              "      <td>6295</td>\n",
              "      <td>3513</td>\n",
              "      <td>55.8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>141</th>\n",
              "      <td>6</td>\n",
              "      <td>21</td>\n",
              "      <td>5603</td>\n",
              "      <td>2974</td>\n",
              "      <td>53.1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>142</th>\n",
              "      <td>6</td>\n",
              "      <td>22</td>\n",
              "      <td>4592</td>\n",
              "      <td>2379</td>\n",
              "      <td>51.8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>143</th>\n",
              "      <td>6</td>\n",
              "      <td>23</td>\n",
              "      <td>3546</td>\n",
              "      <td>1782</td>\n",
              "      <td>50.3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>144</th>\n",
              "      <td>7</td>\n",
              "      <td>0</td>\n",
              "      <td>2787</td>\n",
              "      <td>1342</td>\n",
              "      <td>48.2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>145</th>\n",
              "      <td>7</td>\n",
              "      <td>1</td>\n",
              "      <td>2505</td>\n",
              "      <td>1172</td>\n",
              "      <td>46.8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>146</th>\n",
              "      <td>7</td>\n",
              "      <td>2</td>\n",
              "      <td>2390</td>\n",
              "      <td>1174</td>\n",
              "      <td>49.1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>147</th>\n",
              "      <td>7</td>\n",
              "      <td>3</td>\n",
              "      <td>2429</td>\n",
              "      <td>1268</td>\n",
              "      <td>52.2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>148</th>\n",
              "      <td>7</td>\n",
              "      <td>4</td>\n",
              "      <td>2642</td>\n",
              "      <td>1408</td>\n",
              "      <td>53.3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>149</th>\n",
              "      <td>7</td>\n",
              "      <td>5</td>\n",
              "      <td>3006</td>\n",
              "      <td>1597</td>\n",
              "      <td>53.1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>150</th>\n",
              "      <td>7</td>\n",
              "      <td>6</td>\n",
              "      <td>3278</td>\n",
              "      <td>1800</td>\n",
              "      <td>54.9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>151</th>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>3576</td>\n",
              "      <td>1940</td>\n",
              "      <td>54.3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>152</th>\n",
              "      <td>7</td>\n",
              "      <td>8</td>\n",
              "      <td>3626</td>\n",
              "      <td>1963</td>\n",
              "      <td>54.1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>153</th>\n",
              "      <td>7</td>\n",
              "      <td>9</td>\n",
              "      <td>4003</td>\n",
              "      <td>2185</td>\n",
              "      <td>54.6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>154</th>\n",
              "      <td>7</td>\n",
              "      <td>10</td>\n",
              "      <td>4279</td>\n",
              "      <td>2362</td>\n",
              "      <td>55.2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>155</th>\n",
              "      <td>7</td>\n",
              "      <td>11</td>\n",
              "      <td>4418</td>\n",
              "      <td>2426</td>\n",
              "      <td>54.9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>156</th>\n",
              "      <td>7</td>\n",
              "      <td>12</td>\n",
              "      <td>4457</td>\n",
              "      <td>2425</td>\n",
              "      <td>54.4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>157</th>\n",
              "      <td>7</td>\n",
              "      <td>13</td>\n",
              "      <td>4427</td>\n",
              "      <td>2458</td>\n",
              "      <td>55.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>158</th>\n",
              "      <td>7</td>\n",
              "      <td>14</td>\n",
              "      <td>4694</td>\n",
              "      <td>2516</td>\n",
              "      <td>53.6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>159</th>\n",
              "      <td>7</td>\n",
              "      <td>15</td>\n",
              "      <td>4746</td>\n",
              "      <td>2662</td>\n",
              "      <td>56.1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>160</th>\n",
              "      <td>7</td>\n",
              "      <td>16</td>\n",
              "      <td>4844</td>\n",
              "      <td>2765</td>\n",
              "      <td>57.1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>161</th>\n",
              "      <td>7</td>\n",
              "      <td>17</td>\n",
              "      <td>4801</td>\n",
              "      <td>2728</td>\n",
              "      <td>56.8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>162</th>\n",
              "      <td>7</td>\n",
              "      <td>18</td>\n",
              "      <td>4705</td>\n",
              "      <td>2680</td>\n",
              "      <td>57.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>163</th>\n",
              "      <td>7</td>\n",
              "      <td>19</td>\n",
              "      <td>4403</td>\n",
              "      <td>2417</td>\n",
              "      <td>54.9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>164</th>\n",
              "      <td>7</td>\n",
              "      <td>20</td>\n",
              "      <td>4143</td>\n",
              "      <td>2244</td>\n",
              "      <td>54.2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>165</th>\n",
              "      <td>7</td>\n",
              "      <td>21</td>\n",
              "      <td>3743</td>\n",
              "      <td>2023</td>\n",
              "      <td>54.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>166</th>\n",
              "      <td>7</td>\n",
              "      <td>22</td>\n",
              "      <td>3396</td>\n",
              "      <td>1809</td>\n",
              "      <td>53.3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>167</th>\n",
              "      <td>7</td>\n",
              "      <td>23</td>\n",
              "      <td>2986</td>\n",
              "      <td>1502</td>\n",
              "      <td>50.3</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>168 rows × 5 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "     Day_of_Week  Hour_of_Day  Num_Questions  Num_Answered_in_1H  \\\n",
              "0              1            0           2596                1260   \n",
              "1              1            1           2415                1179   \n",
              "2              1            2           2340                1179   \n",
              "3              1            3           2377                1188   \n",
              "4              1            4           2487                1249   \n",
              "5              1            5           2628                1365   \n",
              "6              1            6           2936                1582   \n",
              "7              1            7           3355                1839   \n",
              "8              1            8           3554                1921   \n",
              "9              1            9           3758                2034   \n",
              "10             1           10           3998                2139   \n",
              "11             1           11           4117                2281   \n",
              "12             1           12           4331                2334   \n",
              "13             1           13           4509                2521   \n",
              "14             1           14           4742                2676   \n",
              "15             1           15           4895                2725   \n",
              "16             1           16           4855                2710   \n",
              "17             1           17           4896                2795   \n",
              "18             1           18           4771                2644   \n",
              "19             1           19           4529                2502   \n",
              "20             1           20           4243                2283   \n",
              "21             1           21           3900                2113   \n",
              "22             1           22           3389                1711   \n",
              "23             1           23           3016                1530   \n",
              "24             2            0           2890                1419   \n",
              "25             2            1           2999                1460   \n",
              "26             2            2           3254                1616   \n",
              "27             2            3           3412                1687   \n",
              "28             2            4           3692                1994   \n",
              "29             2            5           4779                2701   \n",
              "..           ...          ...            ...                 ...   \n",
              "138            6           18           7041                4061   \n",
              "139            6           19           6713                3815   \n",
              "140            6           20           6295                3513   \n",
              "141            6           21           5603                2974   \n",
              "142            6           22           4592                2379   \n",
              "143            6           23           3546                1782   \n",
              "144            7            0           2787                1342   \n",
              "145            7            1           2505                1172   \n",
              "146            7            2           2390                1174   \n",
              "147            7            3           2429                1268   \n",
              "148            7            4           2642                1408   \n",
              "149            7            5           3006                1597   \n",
              "150            7            6           3278                1800   \n",
              "151            7            7           3576                1940   \n",
              "152            7            8           3626                1963   \n",
              "153            7            9           4003                2185   \n",
              "154            7           10           4279                2362   \n",
              "155            7           11           4418                2426   \n",
              "156            7           12           4457                2425   \n",
              "157            7           13           4427                2458   \n",
              "158            7           14           4694                2516   \n",
              "159            7           15           4746                2662   \n",
              "160            7           16           4844                2765   \n",
              "161            7           17           4801                2728   \n",
              "162            7           18           4705                2680   \n",
              "163            7           19           4403                2417   \n",
              "164            7           20           4143                2244   \n",
              "165            7           21           3743                2023   \n",
              "166            7           22           3396                1809   \n",
              "167            7           23           2986                1502   \n",
              "\n",
              "     Percent_Answered_in_1H  \n",
              "0                      48.5  \n",
              "1                      48.8  \n",
              "2                      50.4  \n",
              "3                      50.0  \n",
              "4                      50.2  \n",
              "5                      51.9  \n",
              "6                      53.9  \n",
              "7                      54.8  \n",
              "8                      54.1  \n",
              "9                      54.1  \n",
              "10                     53.5  \n",
              "11                     55.4  \n",
              "12                     53.9  \n",
              "13                     55.9  \n",
              "14                     56.4  \n",
              "15                     55.7  \n",
              "16                     55.8  \n",
              "17                     57.1  \n",
              "18                     55.4  \n",
              "19                     55.2  \n",
              "20                     53.8  \n",
              "21                     54.2  \n",
              "22                     50.5  \n",
              "23                     50.7  \n",
              "24                     49.1  \n",
              "25                     48.7  \n",
              "26                     49.7  \n",
              "27                     49.4  \n",
              "28                     54.0  \n",
              "29                     56.5  \n",
              "..                      ...  \n",
              "138                    57.7  \n",
              "139                    56.8  \n",
              "140                    55.8  \n",
              "141                    53.1  \n",
              "142                    51.8  \n",
              "143                    50.3  \n",
              "144                    48.2  \n",
              "145                    46.8  \n",
              "146                    49.1  \n",
              "147                    52.2  \n",
              "148                    53.3  \n",
              "149                    53.1  \n",
              "150                    54.9  \n",
              "151                    54.3  \n",
              "152                    54.1  \n",
              "153                    54.6  \n",
              "154                    55.2  \n",
              "155                    54.9  \n",
              "156                    54.4  \n",
              "157                    55.5  \n",
              "158                    53.6  \n",
              "159                    56.1  \n",
              "160                    57.1  \n",
              "161                    56.8  \n",
              "162                    57.0  \n",
              "163                    54.9  \n",
              "164                    54.2  \n",
              "165                    54.0  \n",
              "166                    53.3  \n",
              "167                    50.3  \n",
              "\n",
              "[168 rows x 5 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 79
        }
      ]
    },
    {
      "metadata": {
        "id": "ESsHWq3ktDVN",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "#### 結果と考察\n",
        "クエリの結果は少々見にくいので`Hour_of_Day`と`Day_of_Week`でクロス集計し、それをmatplotlibとseabornを使ってヒートマップにしてみました。"
      ]
    },
    {
      "metadata": {
        "id": "eGlA44XTZy3s",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 568
        },
        "outputId": "7e49e650-2050-4f09-94b0-2b86a282b4bf"
      },
      "cell_type": "code",
      "source": [
        "\n",
        "pivot = df.pivot_table(index='Hour_of_Day', columns='Day_of_Week', values='Percent_Answered_in_1H')\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "\n",
        "plt.figure(figsize=(12, 9))\n",
        "sns.heatmap(pivot, annot=True, fmt='g', cmap='Blues')\n"
      ],
      "execution_count": 80,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f8938628c10>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 80
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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j2p85zr9DSIIgCIIgCEKuyQP9eUEQBEEQhHwkn0w/ipFMQRAEQRAE4YsTI5mC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xCXIZNPNxYGBzHxb3acSnz/ujsrNicZ9GWMr1E53ezTzxd7dn1t6bJX3MhcrLIEmmTCZj9+7d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\npaUlu3btQpIk5HI5X33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            "text/plain": [
              "<matplotlib.figure.Figure at 0x7f89385ff350>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "metadata": {
        "id": "feM3NKGYwYCe",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "ヒートマップを見ると、土曜日(7)と日曜日(1)はやや1時間内回答率が下がりますが、他の曜日は大きな違いはなさそうです。\n",
        "\n",
        "時間帯としてはUTC12時台(JST21時台)頃が一番良さそうですね。\n",
        "次点を挙げるとすれば日本の一般的な業務時間内にある6時台(JST15時台)でしょうか。\n",
        "\n"
      ]
    },
    {
      "metadata": {
        "id": "PaKQhD9F0W7N",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "## 結論\n",
        "Stackoverflowでは平日のJST21時台に質問すると早く回答を得られる可能性が高い"
      ]
    }
  ]
}