Data-Science-For-Beginners/translations/ja/1-Introduction/04-stats-and-probability/assignment.ipynb

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    "## 確率と統計の入門\n",
    "## 課題\n",
    "\n",
    "この課題では、[こちら](https://www4.stat.ncsu.edu/~boos/var.select/diabetes.html)から取得した糖尿病患者のデータセットを使用します。\n"
   ],
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   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "df = pd.read_csv(\"../../data/diabetes.tsv\",sep='\\t')\n",
    "df.head()"
   ],
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       "   AGE  SEX   BMI     BP   S1     S2    S3   S4      S5  S6    Y\n",
       "0   59    2  32.1  101.0  157   93.2  38.0  4.0  4.8598  87  151\n",
       "1   48    1  21.6   87.0  183  103.2  70.0  3.0  3.8918  69   75\n",
       "2   72    2  30.5   93.0  156   93.6  41.0  4.0  4.6728  85  141\n",
       "3   24    1  25.3   84.0  198  131.4  40.0  5.0  4.8903  89  206\n",
       "4   50    1  23.0  101.0  192  125.4  52.0  4.0  4.2905  80  135"
      ],
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       "      <th>AGE</th>\n",
       "      <th>SEX</th>\n",
       "      <th>BMI</th>\n",
       "      <th>BP</th>\n",
       "      <th>S1</th>\n",
       "      <th>S2</th>\n",
       "      <th>S3</th>\n",
       "      <th>S4</th>\n",
       "      <th>S5</th>\n",
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       "      <th>Y</th>\n",
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       "      <th>0</th>\n",
       "      <td>59</td>\n",
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       "      <td>101.0</td>\n",
       "      <td>157</td>\n",
       "      <td>93.2</td>\n",
       "      <td>38.0</td>\n",
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       "      <td>70.0</td>\n",
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       "      <td>75</td>\n",
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       "      <td>30.5</td>\n",
       "      <td>93.0</td>\n",
       "      <td>156</td>\n",
       "      <td>93.6</td>\n",
       "      <td>41.0</td>\n",
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       "      <td>4.6728</td>\n",
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       "      <td>84.0</td>\n",
       "      <td>198</td>\n",
       "      <td>131.4</td>\n",
       "      <td>40.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.8903</td>\n",
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    "このデータセットには以下の列があります：\n",
    "* 年齢と性別はそのまま説明不要です\n",
    "* BMIは体格指数を表します\n",
    "* BPは平均血圧を示します\n",
    "* S1からS6は異なる血液測定値です\n",
    "* Yは1年間の疾患進行の定性的な指標です\n",
    "\n",
    "このデータセットを確率と統計の手法を用いて分析してみましょう。\n",
    "\n",
    "### タスク 1: 全ての値の平均値と分散を計算する\n"
   ],
   "metadata": {}
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  {
   "cell_type": "code",
   "execution_count": null,
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   "cell_type": "markdown",
   "source": [
    "### タスク2: 性別に応じたBMI、BP、Yのボックスプロットを作成\n"
   ],
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   "execution_count": null,
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   "source": [
    "### タスク3: 年齢、性別、BMI、およびY変数の分布はどうなっていますか？\n"
   ],
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    "### タスク 4: 異なる変数と病気の進行 (Y) の相関をテストする\n",
    "\n",
    "> **ヒント** 相関行列は、どの値が依存しているかについて最も有用な情報を提供します。\n"
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    "\n---\n\n**免責事項**:  \nこの文書は、AI翻訳サービス [Co-op Translator](https://github.com/Azure/co-op-translator) を使用して翻訳されています。正確性を期すよう努めておりますが、自動翻訳には誤りや不正確な表現が含まれる可能性があります。元の言語で記載された原文を公式な情報源としてご参照ください。重要な情報については、専門の人間による翻訳を推奨します。この翻訳の利用に起因する誤解や誤認について、当方は一切の責任を負いません。\n"
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