birth_Taiwan.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "c6f4fdce",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from matplotlib import pyplot as plt\n",
    "\n",
    "plt.rcParams['font.family'] = ['Noto Sans TC']\n",
    "plt.rcParams[\"figure.figsize\"] = (12,9)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "9036461a",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.read_csv(\"opendata110.csv\", skiprows=[1])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "37404201",
   "metadata": {},
   "source": [
    "Data source: https://data.gov.tw/dataset/100324 (110年份資料)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "eac8b8be",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>statistic_yyy</th>\n",
       "      <th>according</th>\n",
       "      <th>site_id</th>\n",
       "      <th>birth_order</th>\n",
       "      <th>birth_sex</th>\n",
       "      <th>mother_age</th>\n",
       "      <th>birth_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>110</td>\n",
       "      <td>按登記日期分</td>\n",
       "      <td>新北市板橋區</td>\n",
       "      <td>1胎</td>\n",
       "      <td>男</td>\n",
       "      <td>未滿15歲</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>110</td>\n",
       "      <td>按登記日期分</td>\n",
       "      <td>新北市板橋區</td>\n",
       "      <td>1胎</td>\n",
       "      <td>男</td>\n",
       "      <td>15～19歲</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>110</td>\n",
       "      <td>按登記日期分</td>\n",
       "      <td>新北市板橋區</td>\n",
       "      <td>1胎</td>\n",
       "      <td>男</td>\n",
       "      <td>20～24歲</td>\n",
       "      <td>63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>110</td>\n",
       "      <td>按登記日期分</td>\n",
       "      <td>新北市板橋區</td>\n",
       "      <td>1胎</td>\n",
       "      <td>男</td>\n",
       "      <td>25～29歲</td>\n",
       "      <td>197</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>110</td>\n",
       "      <td>按登記日期分</td>\n",
       "      <td>新北市板橋區</td>\n",
       "      <td>1胎</td>\n",
       "      <td>男</td>\n",
       "      <td>30～34歲</td>\n",
       "      <td>396</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>59611</th>\n",
       "      <td>110</td>\n",
       "      <td>按登記日期分</td>\n",
       "      <td>連江縣東引鄉</td>\n",
       "      <td>9胎以上</td>\n",
       "      <td>女</td>\n",
       "      <td>30～34歲</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59612</th>\n",
       "      <td>110</td>\n",
       "      <td>按登記日期分</td>\n",
       "      <td>連江縣東引鄉</td>\n",
       "      <td>9胎以上</td>\n",
       "      <td>女</td>\n",
       "      <td>35～39歲</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59613</th>\n",
       "      <td>110</td>\n",
       "      <td>按登記日期分</td>\n",
       "      <td>連江縣東引鄉</td>\n",
       "      <td>9胎以上</td>\n",
       "      <td>女</td>\n",
       "      <td>40～44歲</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59614</th>\n",
       "      <td>110</td>\n",
       "      <td>按登記日期分</td>\n",
       "      <td>連江縣東引鄉</td>\n",
       "      <td>9胎以上</td>\n",
       "      <td>女</td>\n",
       "      <td>45～49歲</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59615</th>\n",
       "      <td>110</td>\n",
       "      <td>按登記日期分</td>\n",
       "      <td>連江縣東引鄉</td>\n",
       "      <td>9胎以上</td>\n",
       "      <td>女</td>\n",
       "      <td>50歲以上</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>59616 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       statistic_yyy according site_id birth_order birth_sex mother_age  \\\n",
       "0                110    按登記日期分  新北市板橋區          1胎         男      未滿15歲   \n",
       "1                110    按登記日期分  新北市板橋區          1胎         男     15～19歲   \n",
       "2                110    按登記日期分  新北市板橋區          1胎         男     20～24歲   \n",
       "3                110    按登記日期分  新北市板橋區          1胎         男     25～29歲   \n",
       "4                110    按登記日期分  新北市板橋區          1胎         男     30～34歲   \n",
       "...              ...       ...     ...         ...       ...        ...   \n",
       "59611            110    按登記日期分  連江縣東引鄉        9胎以上         女     30～34歲   \n",
       "59612            110    按登記日期分  連江縣東引鄉        9胎以上         女     35～39歲   \n",
       "59613            110    按登記日期分  連江縣東引鄉        9胎以上         女     40～44歲   \n",
       "59614            110    按登記日期分  連江縣東引鄉        9胎以上         女     45～49歲   \n",
       "59615            110    按登記日期分  連江縣東引鄉        9胎以上         女      50歲以上   \n",
       "\n",
       "       birth_count  \n",
       "0                0  \n",
       "1                7  \n",
       "2               63  \n",
       "3              197  \n",
       "4              396  \n",
       "...            ...  \n",
       "59611            0  \n",
       "59612            0  \n",
       "59613            0  \n",
       "59614            0  \n",
       "59615            0  \n",
       "\n",
       "[59616 rows x 7 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "7eaf2b47",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "statistic_yyy     int64\n",
       "according        object\n",
       "site_id          object\n",
       "birth_order      object\n",
       "birth_sex        object\n",
       "mother_age       object\n",
       "birth_count       int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "f375864d",
   "metadata": {},
   "outputs": [],
   "source": [
    "data=data.astype({'site_id':'category', 'birth_order':'category', 'birth_sex':'category', 'mother_age':'category'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "f72700a4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "statistic_yyy       int64\n",
       "according          object\n",
       "site_id          category\n",
       "birth_order      category\n",
       "birth_sex        category\n",
       "mother_age       category\n",
       "birth_count         int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "95f8be5d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0         未滿15歲\n",
       "1        15～19歲\n",
       "2        20～24歲\n",
       "3        25～29歲\n",
       "4        30～34歲\n",
       "          ...  \n",
       "59611    30～34歲\n",
       "59612    35～39歲\n",
       "59613    40～44歲\n",
       "59614    45～49歲\n",
       "59615     50歲以上\n",
       "Name: mother_age, Length: 59616, dtype: category\n",
       "Categories (9, object): ['15～19歲', '20～24歲', '25～29歲', '30～34歲', ..., '40～44歲', '45～49歲', '50歲以上', '未滿15歲']"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['mother_age']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "92ae6aed",
   "metadata": {},
   "outputs": [],
   "source": [
    "data['mother_age'] = data['mother_age'].cat.reorder_categories(['未滿15歲', '15～19歲', '20～24歲', '25～29歲', '30～34歲', '35～39歲', '40～44歲', '45～49歲', '50歲以上'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f3196629",
   "metadata": {},
   "source": [
    "# Q1 \n",
    "\n",
    "婦女產下第一胎的年齡"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "f6c85e1e",
   "metadata": {},
   "outputs": [],
   "source": [
    "q1 = data[data['birth_order']=='1胎'].groupby(['mother_age'], as_index=False)['birth_count'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "5bd7be4f",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>mother_age</th>\n",
       "      <th>birth_count</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>未滿15歲</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>15～19歲</td>\n",
       "      <td>1546</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>20～24歲</td>\n",
       "      <td>8458</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>25～29歲</td>\n",
       "      <td>22239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>30～34歲</td>\n",
       "      <td>29068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>35～39歲</td>\n",
       "      <td>15302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>40～44歲</td>\n",
       "      <td>3443</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>45～49歲</td>\n",
       "      <td>225</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>50歲以上</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      ],
      "text/plain": [
       "  mother_age  birth_count\n",
       "0      未滿15歲           21\n",
       "1     15～19歲         1546\n",
       "2     20～24歲         8458\n",
       "3     25～29歲        22239\n",
       "4     30～34歲        29068\n",
       "5     35～39歲        15302\n",
       "6     40～44歲         3443\n",
       "7     45～49歲          225\n",
       "8      50歲以上           26"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "q1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "dc60ee8a",
   "metadata": {},
   "outputs": [],
   "source": [
    "q1['ratio']=q1['birth_count']/sum(q1['birth_count'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "752d355a",
   "metadata": {},
   "outputs": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>mother_age</th>\n",
       "      <th>birth_count</th>\n",
       "      <th>ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>未滿15歲</td>\n",
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       "      <td>0.000261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>15～19歲</td>\n",
       "      <td>1546</td>\n",
       "      <td>0.019246</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>20～24歲</td>\n",
       "      <td>8458</td>\n",
       "      <td>0.105293</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>25～29歲</td>\n",
       "      <td>22239</td>\n",
       "      <td>0.276852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>30～34歲</td>\n",
       "      <td>29068</td>\n",
       "      <td>0.361866</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>35～39歲</td>\n",
       "      <td>15302</td>\n",
       "      <td>0.190494</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>40～44歲</td>\n",
       "      <td>3443</td>\n",
       "      <td>0.042862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>45～49歲</td>\n",
       "      <td>225</td>\n",
       "      <td>0.002801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>50歲以上</td>\n",
       "      <td>26</td>\n",
       "      <td>0.000324</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  mother_age  birth_count     ratio\n",
       "0      未滿15歲           21  0.000261\n",
       "1     15～19歲         1546  0.019246\n",
       "2     20～24歲         8458  0.105293\n",
       "3     25～29歲        22239  0.276852\n",
       "4     30～34歲        29068  0.361866\n",
       "5     35～39歲        15302  0.190494\n",
       "6     40～44歲         3443  0.042862\n",
       "7     45～49歲          225  0.002801\n",
       "8      50歲以上           26  0.000324"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "q1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "d2581e8a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.bar(q1['mother_age'], q1['birth_count']);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "12cde46e",
   "metadata": {},
   "source": [
    "# Q2\n",
    "\n",
    "各縣市婦女產下第一胎的年齡"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "f590c1ff",
   "metadata": {},
   "outputs": [],
   "source": [
    "data['city']=data['site_id'].str.slice(0,3) #縣市名稱正好是前三個字\n",
    "data['city']=data['city'].astype('category')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "7fff002d",
   "metadata": {},
   "outputs": [],
   "source": [
    "q2 = data[data['birth_order']=='1胎'].groupby(['city','mother_age'], as_index=False)['birth_count'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "92011186",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.core.frame.DataFrame"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(q2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "148808a6",
   "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>city</th>\n",
       "      <th>mother_age</th>\n",
       "      <th>birth_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>南投縣</td>\n",
       "      <td>未滿15歲</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>南投縣</td>\n",
       "      <td>15～19歲</td>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>南投縣</td>\n",
       "      <td>20～24歲</td>\n",
       "      <td>254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>南投縣</td>\n",
       "      <td>25～29歲</td>\n",
       "      <td>449</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>南投縣</td>\n",
       "      <td>30～34歲</td>\n",
       "      <td>378</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>高雄市</td>\n",
       "      <td>30～34歲</td>\n",
       "      <td>3576</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>高雄市</td>\n",
       "      <td>35～39歲</td>\n",
       "      <td>1761</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>高雄市</td>\n",
       "      <td>40～44歲</td>\n",
       "      <td>410</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>高雄市</td>\n",
       "      <td>45～49歲</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>高雄市</td>\n",
       "      <td>50歲以上</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>198 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    city mother_age  birth_count\n",
       "0    南投縣      未滿15歲            1\n",
       "1    南投縣     15～19歲           76\n",
       "2    南投縣     20～24歲          254\n",
       "3    南投縣     25～29歲          449\n",
       "4    南投縣     30～34歲          378\n",
       "..   ...        ...          ...\n",
       "193  高雄市     30～34歲         3576\n",
       "194  高雄市     35～39歲         1761\n",
       "195  高雄市     40～44歲          410\n",
       "196  高雄市     45～49歲           30\n",
       "197  高雄市      50歲以上            0\n",
       "\n",
       "[198 rows x 3 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "q2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "80e01c56",
   "metadata": {},
   "outputs": [],
   "source": [
    "q2['ratio']=q2['birth_count']/q2.groupby('city')['birth_count'].transform('sum')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "c1663a81",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.bar(q2[q2['city']=='南投縣']['mother_age'], q2[q2['city']=='南投縣']['birth_count']);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "51e30ae8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.bar(q2[q2['city']=='新北市']['mother_age'], q2[q2['city']=='新北市']['birth_count']);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "f4e5d8a3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.bar(q2[q2['city']=='連江縣']['mother_age'], q2[q2['city']=='連江縣']['birth_count']);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "5b64a1ef",
   "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>city</th>\n",
       "      <th>南投縣</th>\n",
       "      <th>嘉義市</th>\n",
       "      <th>嘉義縣</th>\n",
       "      <th>基隆市</th>\n",
       "      <th>宜蘭縣</th>\n",
       "      <th>屏東縣</th>\n",
       "      <th>彰化縣</th>\n",
       "      <th>新北市</th>\n",
       "      <th>新竹市</th>\n",
       "      <th>新竹縣</th>\n",
       "      <th>...</th>\n",
       "      <th>臺中市</th>\n",
       "      <th>臺北市</th>\n",
       "      <th>臺南市</th>\n",
       "      <th>臺東縣</th>\n",
       "      <th>花蓮縣</th>\n",
       "      <th>苗栗縣</th>\n",
       "      <th>連江縣</th>\n",
       "      <th>金門縣</th>\n",
       "      <th>雲林縣</th>\n",
       "      <th>高雄市</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mother_age</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>未滿15歲</th>\n",
       "      <td>0.000729</td>\n",
       "      <td>0.001406</td>\n",
       "      <td>0.001442</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000074</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000950</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000105</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000425</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000520</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15～19歲</th>\n",
       "      <td>0.055434</td>\n",
       "      <td>0.026723</td>\n",
       "      <td>0.033165</td>\n",
       "      <td>0.024316</td>\n",
       "      <td>0.038943</td>\n",
       "      <td>0.041426</td>\n",
       "      <td>0.019215</td>\n",
       "      <td>0.013440</td>\n",
       "      <td>0.012724</td>\n",
       "      <td>0.028029</td>\n",
       "      <td>...</td>\n",
       "      <td>0.017812</td>\n",
       "      <td>0.006691</td>\n",
       "      <td>0.015944</td>\n",
       "      <td>0.059625</td>\n",
       "      <td>0.053159</td>\n",
       "      <td>0.031401</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.016194</td>\n",
       "      <td>0.028388</td>\n",
       "      <td>0.016112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20～24歲</th>\n",
       "      <td>0.185266</td>\n",
       "      <td>0.122363</td>\n",
       "      <td>0.157174</td>\n",
       "      <td>0.113475</td>\n",
       "      <td>0.162726</td>\n",
       "      <td>0.184971</td>\n",
       "      <td>0.120849</td>\n",
       "      <td>0.083389</td>\n",
       "      <td>0.080393</td>\n",
       "      <td>0.109264</td>\n",
       "      <td>...</td>\n",
       "      <td>0.100864</td>\n",
       "      <td>0.042378</td>\n",
       "      <td>0.100978</td>\n",
       "      <td>0.177172</td>\n",
       "      <td>0.191575</td>\n",
       "      <td>0.172303</td>\n",
       "      <td>0.096154</td>\n",
       "      <td>0.101215</td>\n",
       "      <td>0.197108</td>\n",
       "      <td>0.108212</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25～29歲</th>\n",
       "      <td>0.327498</td>\n",
       "      <td>0.302391</td>\n",
       "      <td>0.352559</td>\n",
       "      <td>0.281662</td>\n",
       "      <td>0.319193</td>\n",
       "      <td>0.346821</td>\n",
       "      <td>0.327490</td>\n",
       "      <td>0.243558</td>\n",
       "      <td>0.272412</td>\n",
       "      <td>0.263658</td>\n",
       "      <td>...</td>\n",
       "      <td>0.290261</td>\n",
       "      <td>0.179882</td>\n",
       "      <td>0.282313</td>\n",
       "      <td>0.323680</td>\n",
       "      <td>0.307924</td>\n",
       "      <td>0.334944</td>\n",
       "      <td>0.519231</td>\n",
       "      <td>0.281377</td>\n",
       "      <td>0.332619</td>\n",
       "      <td>0.274636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30～34歲</th>\n",
       "      <td>0.275711</td>\n",
       "      <td>0.348805</td>\n",
       "      <td>0.299928</td>\n",
       "      <td>0.357649</td>\n",
       "      <td>0.328929</td>\n",
       "      <td>0.268304</td>\n",
       "      <td>0.354121</td>\n",
       "      <td>0.377590</td>\n",
       "      <td>0.396183</td>\n",
       "      <td>0.376247</td>\n",
       "      <td>...</td>\n",
       "      <td>0.369941</td>\n",
       "      <td>0.405598</td>\n",
       "      <td>0.360757</td>\n",
       "      <td>0.264055</td>\n",
       "      <td>0.267803</td>\n",
       "      <td>0.300322</td>\n",
       "      <td>0.230769</td>\n",
       "      <td>0.386640</td>\n",
       "      <td>0.282271</td>\n",
       "      <td>0.371726</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35～39歲</th>\n",
       "      <td>0.121809</td>\n",
       "      <td>0.156118</td>\n",
       "      <td>0.134102</td>\n",
       "      <td>0.180344</td>\n",
       "      <td>0.122392</td>\n",
       "      <td>0.131021</td>\n",
       "      <td>0.152368</td>\n",
       "      <td>0.224029</td>\n",
       "      <td>0.201272</td>\n",
       "      <td>0.180523</td>\n",
       "      <td>...</td>\n",
       "      <td>0.178436</td>\n",
       "      <td>0.284041</td>\n",
       "      <td>0.197704</td>\n",
       "      <td>0.137990</td>\n",
       "      <td>0.144433</td>\n",
       "      <td>0.126409</td>\n",
       "      <td>0.076923</td>\n",
       "      <td>0.180162</td>\n",
       "      <td>0.127477</td>\n",
       "      <td>0.183056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40～44歲</th>\n",
       "      <td>0.029905</td>\n",
       "      <td>0.037975</td>\n",
       "      <td>0.020187</td>\n",
       "      <td>0.039514</td>\n",
       "      <td>0.027121</td>\n",
       "      <td>0.026975</td>\n",
       "      <td>0.024608</td>\n",
       "      <td>0.054207</td>\n",
       "      <td>0.032967</td>\n",
       "      <td>0.035154</td>\n",
       "      <td>...</td>\n",
       "      <td>0.040051</td>\n",
       "      <td>0.075834</td>\n",
       "      <td>0.038478</td>\n",
       "      <td>0.032368</td>\n",
       "      <td>0.035105</td>\n",
       "      <td>0.033011</td>\n",
       "      <td>0.076923</td>\n",
       "      <td>0.024291</td>\n",
       "      <td>0.030530</td>\n",
       "      <td>0.042620</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45～49歲</th>\n",
       "      <td>0.002918</td>\n",
       "      <td>0.004219</td>\n",
       "      <td>0.001442</td>\n",
       "      <td>0.003040</td>\n",
       "      <td>0.000695</td>\n",
       "      <td>0.000482</td>\n",
       "      <td>0.001180</td>\n",
       "      <td>0.003044</td>\n",
       "      <td>0.004049</td>\n",
       "      <td>0.006176</td>\n",
       "      <td>...</td>\n",
       "      <td>0.002108</td>\n",
       "      <td>0.005018</td>\n",
       "      <td>0.002551</td>\n",
       "      <td>0.005111</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.001610</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010121</td>\n",
       "      <td>0.001071</td>\n",
       "      <td>0.003119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50歲以上</th>\n",
       "      <td>0.000729</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000169</td>\n",
       "      <td>0.000668</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000422</td>\n",
       "      <td>0.000558</td>\n",
       "      <td>0.000850</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000536</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "city             南投縣       嘉義市       嘉義縣       基隆市       宜蘭縣       屏東縣  \\\n",
       "mother_age                                                               \n",
       "未滿15歲       0.000729  0.001406  0.001442  0.000000  0.000000  0.000000   \n",
       "15～19歲      0.055434  0.026723  0.033165  0.024316  0.038943  0.041426   \n",
       "20～24歲      0.185266  0.122363  0.157174  0.113475  0.162726  0.184971   \n",
       "25～29歲      0.327498  0.302391  0.352559  0.281662  0.319193  0.346821   \n",
       "30～34歲      0.275711  0.348805  0.299928  0.357649  0.328929  0.268304   \n",
       "35～39歲      0.121809  0.156118  0.134102  0.180344  0.122392  0.131021   \n",
       "40～44歲      0.029905  0.037975  0.020187  0.039514  0.027121  0.026975   \n",
       "45～49歲      0.002918  0.004219  0.001442  0.003040  0.000695  0.000482   \n",
       "50歲以上       0.000729  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "\n",
       "city             彰化縣       新北市       新竹市       新竹縣  ...       臺中市       臺北市  \\\n",
       "mother_age                                          ...                       \n",
       "未滿15歲       0.000000  0.000074  0.000000  0.000950  ...  0.000105  0.000000   \n",
       "15～19歲      0.019215  0.013440  0.012724  0.028029  ...  0.017812  0.006691   \n",
       "20～24歲      0.120849  0.083389  0.080393  0.109264  ...  0.100864  0.042378   \n",
       "25～29歲      0.327490  0.243558  0.272412  0.263658  ...  0.290261  0.179882   \n",
       "30～34歲      0.354121  0.377590  0.396183  0.376247  ...  0.369941  0.405598   \n",
       "35～39歲      0.152368  0.224029  0.201272  0.180523  ...  0.178436  0.284041   \n",
       "40～44歲      0.024608  0.054207  0.032967  0.035154  ...  0.040051  0.075834   \n",
       "45～49歲      0.001180  0.003044  0.004049  0.006176  ...  0.002108  0.005018   \n",
       "50歲以上       0.000169  0.000668  0.000000  0.000000  ...  0.000422  0.000558   \n",
       "\n",
       "city             臺南市       臺東縣       花蓮縣       苗栗縣       連江縣       金門縣  \\\n",
       "mother_age                                                               \n",
       "未滿15歲       0.000425  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "15～19歲      0.015944  0.059625  0.053159  0.031401  0.000000  0.016194   \n",
       "20～24歲      0.100978  0.177172  0.191575  0.172303  0.096154  0.101215   \n",
       "25～29歲      0.282313  0.323680  0.307924  0.334944  0.519231  0.281377   \n",
       "30～34歲      0.360757  0.264055  0.267803  0.300322  0.230769  0.386640   \n",
       "35～39歲      0.197704  0.137990  0.144433  0.126409  0.076923  0.180162   \n",
       "40～44歲      0.038478  0.032368  0.035105  0.033011  0.076923  0.024291   \n",
       "45～49歲      0.002551  0.005111  0.000000  0.001610  0.000000  0.010121   \n",
       "50歲以上       0.000850  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "\n",
       "city             雲林縣       高雄市  \n",
       "mother_age                      \n",
       "未滿15歲       0.000000  0.000520  \n",
       "15～19歲      0.028388  0.016112  \n",
       "20～24歲      0.197108  0.108212  \n",
       "25～29歲      0.332619  0.274636  \n",
       "30～34歲      0.282271  0.371726  \n",
       "35～39歲      0.127477  0.183056  \n",
       "40～44歲      0.030530  0.042620  \n",
       "45～49歲      0.001071  0.003119  \n",
       "50歲以上       0.000536  0.000000  \n",
       "\n",
       "[9 rows x 22 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "q2=q2.pivot(index='mother_age', columns='city', values='ratio')\n",
    "\n",
    "q2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "42e30ba4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "q2.plot(kind='line');"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "39c9cede",
   "metadata": {},
   "source": [
    "# Q3 \n",
    "各胎的性別比例"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "bd1bfc5a",
   "metadata": {},
   "outputs": [],
   "source": [
    "q3 = data.groupby(['birth_sex','birth_order'], as_index=False)['birth_count'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "01b76848",
   "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>birth_sex</th>\n",
       "      <th>birth_order</th>\n",
       "      <th>birth_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>女</td>\n",
       "      <td>1胎</td>\n",
       "      <td>38922</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>女</td>\n",
       "      <td>2胎</td>\n",
       "      <td>26791</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>女</td>\n",
       "      <td>3胎</td>\n",
       "      <td>6559</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>女</td>\n",
       "      <td>4胎</td>\n",
       "      <td>1442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>女</td>\n",
       "      <td>5胎</td>\n",
       "      <td>389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>女</td>\n",
       "      <td>6胎</td>\n",
       "      <td>134</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>女</td>\n",
       "      <td>7胎</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>女</td>\n",
       "      <td>8胎</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>女</td>\n",
       "      <td>9胎以上</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>男</td>\n",
       "      <td>1胎</td>\n",
       "      <td>41406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>男</td>\n",
       "      <td>2胎</td>\n",
       "      <td>28681</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>男</td>\n",
       "      <td>3胎</td>\n",
       "      <td>7121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>男</td>\n",
       "      <td>4胎</td>\n",
       "      <td>1647</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>男</td>\n",
       "      <td>5胎</td>\n",
       "      <td>436</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>男</td>\n",
       "      <td>6胎</td>\n",
       "      <td>149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>男</td>\n",
       "      <td>7胎</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>男</td>\n",
       "      <td>8胎</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>男</td>\n",
       "      <td>9胎以上</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   birth_sex birth_order  birth_count\n",
       "0          女          1胎        38922\n",
       "1          女          2胎        26791\n",
       "2          女          3胎         6559\n",
       "3          女          4胎         1442\n",
       "4          女          5胎          389\n",
       "5          女          6胎          134\n",
       "6          女          7胎           35\n",
       "7          女          8胎           20\n",
       "8          女        9胎以上           15\n",
       "9          男          1胎        41406\n",
       "10         男          2胎        28681\n",
       "11         男          3胎         7121\n",
       "12         男          4胎         1647\n",
       "13         男          5胎          436\n",
       "14         男          6胎          149\n",
       "15         男          7胎           50\n",
       "16         男          8胎           15\n",
       "17         男        9胎以上            8"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "q3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "bfdb37cd",
   "metadata": {},
   "outputs": [],
   "source": [
    "q3=q3.pivot(index='birth_order', columns='birth_sex', values='birth_count')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "68568565",
   "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>birth_sex</th>\n",
       "      <th>女</th>\n",
       "      <th>男</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>birth_order</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1胎</th>\n",
       "      <td>38922</td>\n",
       "      <td>41406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2胎</th>\n",
       "      <td>26791</td>\n",
       "      <td>28681</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3胎</th>\n",
       "      <td>6559</td>\n",
       "      <td>7121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4胎</th>\n",
       "      <td>1442</td>\n",
       "      <td>1647</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5胎</th>\n",
       "      <td>389</td>\n",
       "      <td>436</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6胎</th>\n",
       "      <td>134</td>\n",
       "      <td>149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7胎</th>\n",
       "      <td>35</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8胎</th>\n",
       "      <td>20</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9胎以上</th>\n",
       "      <td>15</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "birth_sex        女      男\n",
       "birth_order              \n",
       "1胎           38922  41406\n",
       "2胎           26791  28681\n",
       "3胎            6559   7121\n",
       "4胎            1442   1647\n",
       "5胎             389    436\n",
       "6胎             134    149\n",
       "7胎              35     50\n",
       "8胎              20     15\n",
       "9胎以上            15      8"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "q3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "e1896cba",
   "metadata": {},
   "outputs": [],
   "source": [
    "q3['girlrate']=q3['女']/(q3['女']+q3['男']) #各胎是女性的機率"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "5d1ed023",
   "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>birth_sex</th>\n",
       "      <th>女</th>\n",
       "      <th>男</th>\n",
       "      <th>girlrate</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>birth_order</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1胎</th>\n",
       "      <td>38922</td>\n",
       "      <td>41406</td>\n",
       "      <td>0.484538</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2胎</th>\n",
       "      <td>26791</td>\n",
       "      <td>28681</td>\n",
       "      <td>0.482964</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3胎</th>\n",
       "      <td>6559</td>\n",
       "      <td>7121</td>\n",
       "      <td>0.479459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4胎</th>\n",
       "      <td>1442</td>\n",
       "      <td>1647</td>\n",
       "      <td>0.466818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5胎</th>\n",
       "      <td>389</td>\n",
       "      <td>436</td>\n",
       "      <td>0.471515</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6胎</th>\n",
       "      <td>134</td>\n",
       "      <td>149</td>\n",
       "      <td>0.473498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7胎</th>\n",
       "      <td>35</td>\n",
       "      <td>50</td>\n",
       "      <td>0.411765</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8胎</th>\n",
       "      <td>20</td>\n",
       "      <td>15</td>\n",
       "      <td>0.571429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9胎以上</th>\n",
       "      <td>15</td>\n",
       "      <td>8</td>\n",
       "      <td>0.652174</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "birth_sex        女      男  girlrate\n",
       "birth_order                        \n",
       "1胎           38922  41406  0.484538\n",
       "2胎           26791  28681  0.482964\n",
       "3胎            6559   7121  0.479459\n",
       "4胎            1442   1647  0.466818\n",
       "5胎             389    436  0.471515\n",
       "6胎             134    149  0.473498\n",
       "7胎              35     50  0.411765\n",
       "8胎              20     15  0.571429\n",
       "9胎以上            15      8  0.652174"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "q3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "7ce404ec",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='birth_order'>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "q3['girlrate'].plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8eb67c12",
   "metadata": {},
   "source": [
    "# Q4 \n",
    "\n",
    "各縣市性別比"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "66d5e63a",
   "metadata": {},
   "outputs": [],
   "source": [
    "q4 = data.groupby(['city','birth_sex'], as_index=False)['birth_count'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "e81c3711",
   "metadata": {},
   "outputs": [],
   "source": [
    "q4['percentage'] = q4['birth_count']/q4.groupby('city')['birth_count'].transform('sum')*100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "14e0ce34",
   "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>city</th>\n",
       "      <th>birth_sex</th>\n",
       "      <th>birth_count</th>\n",
       "      <th>percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>南投縣</td>\n",
       "      <td>女</td>\n",
       "      <td>1344</td>\n",
       "      <td>47.340613</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>南投縣</td>\n",
       "      <td>男</td>\n",
       "      <td>1495</td>\n",
       "      <td>52.659387</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>嘉義市</td>\n",
       "      <td>女</td>\n",
       "      <td>670</td>\n",
       "      <td>48.798252</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>嘉義市</td>\n",
       "      <td>男</td>\n",
       "      <td>703</td>\n",
       "      <td>51.201748</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>嘉義縣</td>\n",
       "      <td>女</td>\n",
       "      <td>1288</td>\n",
       "      <td>48.330206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>嘉義縣</td>\n",
       "      <td>男</td>\n",
       "      <td>1377</td>\n",
       "      <td>51.669794</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>基隆市</td>\n",
       "      <td>女</td>\n",
       "      <td>864</td>\n",
       "      <td>47.472527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>基隆市</td>\n",
       "      <td>男</td>\n",
       "      <td>956</td>\n",
       "      <td>52.527473</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>宜蘭縣</td>\n",
       "      <td>女</td>\n",
       "      <td>1324</td>\n",
       "      <td>46.950355</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>宜蘭縣</td>\n",
       "      <td>男</td>\n",
       "      <td>1496</td>\n",
       "      <td>53.049645</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>屏東縣</td>\n",
       "      <td>女</td>\n",
       "      <td>2009</td>\n",
       "      <td>48.316498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>屏東縣</td>\n",
       "      <td>男</td>\n",
       "      <td>2149</td>\n",
       "      <td>51.683502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>彰化縣</td>\n",
       "      <td>女</td>\n",
       "      <td>5525</td>\n",
       "      <td>48.515982</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>彰化縣</td>\n",
       "      <td>男</td>\n",
       "      <td>5863</td>\n",
       "      <td>51.484018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>新北市</td>\n",
       "      <td>女</td>\n",
       "      <td>11726</td>\n",
       "      <td>48.398547</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>新北市</td>\n",
       "      <td>男</td>\n",
       "      <td>12502</td>\n",
       "      <td>51.601453</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>新竹市</td>\n",
       "      <td>女</td>\n",
       "      <td>1695</td>\n",
       "      <td>49.116198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>新竹市</td>\n",
       "      <td>男</td>\n",
       "      <td>1756</td>\n",
       "      <td>50.883802</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>新竹縣</td>\n",
       "      <td>女</td>\n",
       "      <td>2130</td>\n",
       "      <td>50.473934</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>新竹縣</td>\n",
       "      <td>男</td>\n",
       "      <td>2090</td>\n",
       "      <td>49.526066</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>桃園市</td>\n",
       "      <td>女</td>\n",
       "      <td>9752</td>\n",
       "      <td>48.253340</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>桃園市</td>\n",
       "      <td>男</td>\n",
       "      <td>10458</td>\n",
       "      <td>51.746660</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>澎湖縣</td>\n",
       "      <td>女</td>\n",
       "      <td>427</td>\n",
       "      <td>47.078280</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>澎湖縣</td>\n",
       "      <td>男</td>\n",
       "      <td>480</td>\n",
       "      <td>52.921720</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>臺中市</td>\n",
       "      <td>女</td>\n",
       "      <td>8864</td>\n",
       "      <td>48.426573</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>臺中市</td>\n",
       "      <td>男</td>\n",
       "      <td>9440</td>\n",
       "      <td>51.573427</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>臺北市</td>\n",
       "      <td>女</td>\n",
       "      <td>8071</td>\n",
       "      <td>48.343816</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>臺北市</td>\n",
       "      <td>男</td>\n",
       "      <td>8624</td>\n",
       "      <td>51.656184</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>臺南市</td>\n",
       "      <td>女</td>\n",
       "      <td>4558</td>\n",
       "      <td>47.311605</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>臺南市</td>\n",
       "      <td>男</td>\n",
       "      <td>5076</td>\n",
       "      <td>52.688395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>臺東縣</td>\n",
       "      <td>女</td>\n",
       "      <td>607</td>\n",
       "      <td>46.124620</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>臺東縣</td>\n",
       "      <td>男</td>\n",
       "      <td>709</td>\n",
       "      <td>53.875380</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>花蓮縣</td>\n",
       "      <td>女</td>\n",
       "      <td>1060</td>\n",
       "      <td>50.094518</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>花蓮縣</td>\n",
       "      <td>男</td>\n",
       "      <td>1056</td>\n",
       "      <td>49.905482</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>苗栗縣</td>\n",
       "      <td>女</td>\n",
       "      <td>1289</td>\n",
       "      <td>48.604827</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>苗栗縣</td>\n",
       "      <td>男</td>\n",
       "      <td>1363</td>\n",
       "      <td>51.395173</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>連江縣</td>\n",
       "      <td>女</td>\n",
       "      <td>51</td>\n",
       "      <td>45.132743</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>連江縣</td>\n",
       "      <td>男</td>\n",
       "      <td>62</td>\n",
       "      <td>54.867257</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>金門縣</td>\n",
       "      <td>女</td>\n",
       "      <td>487</td>\n",
       "      <td>47.327502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>金門縣</td>\n",
       "      <td>男</td>\n",
       "      <td>542</td>\n",
       "      <td>52.672498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>雲林縣</td>\n",
       "      <td>女</td>\n",
       "      <td>1847</td>\n",
       "      <td>48.224543</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>雲林縣</td>\n",
       "      <td>男</td>\n",
       "      <td>1983</td>\n",
       "      <td>51.775457</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>高雄市</td>\n",
       "      <td>女</td>\n",
       "      <td>8719</td>\n",
       "      <td>48.299357</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>高雄市</td>\n",
       "      <td>男</td>\n",
       "      <td>9333</td>\n",
       "      <td>51.700643</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   city birth_sex  birth_count  percentage\n",
       "0   南投縣         女         1344   47.340613\n",
       "1   南投縣         男         1495   52.659387\n",
       "2   嘉義市         女          670   48.798252\n",
       "3   嘉義市         男          703   51.201748\n",
       "4   嘉義縣         女         1288   48.330206\n",
       "5   嘉義縣         男         1377   51.669794\n",
       "6   基隆市         女          864   47.472527\n",
       "7   基隆市         男          956   52.527473\n",
       "8   宜蘭縣         女         1324   46.950355\n",
       "9   宜蘭縣         男         1496   53.049645\n",
       "10  屏東縣         女         2009   48.316498\n",
       "11  屏東縣         男         2149   51.683502\n",
       "12  彰化縣         女         5525   48.515982\n",
       "13  彰化縣         男         5863   51.484018\n",
       "14  新北市         女        11726   48.398547\n",
       "15  新北市         男        12502   51.601453\n",
       "16  新竹市         女         1695   49.116198\n",
       "17  新竹市         男         1756   50.883802\n",
       "18  新竹縣         女         2130   50.473934\n",
       "19  新竹縣         男         2090   49.526066\n",
       "20  桃園市         女         9752   48.253340\n",
       "21  桃園市         男        10458   51.746660\n",
       "22  澎湖縣         女          427   47.078280\n",
       "23  澎湖縣         男          480   52.921720\n",
       "24  臺中市         女         8864   48.426573\n",
       "25  臺中市         男         9440   51.573427\n",
       "26  臺北市         女         8071   48.343816\n",
       "27  臺北市         男         8624   51.656184\n",
       "28  臺南市         女         4558   47.311605\n",
       "29  臺南市         男         5076   52.688395\n",
       "30  臺東縣         女          607   46.124620\n",
       "31  臺東縣         男          709   53.875380\n",
       "32  花蓮縣         女         1060   50.094518\n",
       "33  花蓮縣         男         1056   49.905482\n",
       "34  苗栗縣         女         1289   48.604827\n",
       "35  苗栗縣         男         1363   51.395173\n",
       "36  連江縣         女           51   45.132743\n",
       "37  連江縣         男           62   54.867257\n",
       "38  金門縣         女          487   47.327502\n",
       "39  金門縣         男          542   52.672498\n",
       "40  雲林縣         女         1847   48.224543\n",
       "41  雲林縣         男         1983   51.775457\n",
       "42  高雄市         女         8719   48.299357\n",
       "43  高雄市         男         9333   51.700643"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "q4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "73357cfa",
   "metadata": {},
   "outputs": [],
   "source": [
    "q4_plot=q4[q4['birth_sex']=='女']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "29a52577",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(x=q4_plot['birth_count'], y = q4_plot['percentage']);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4cd6d334",
   "metadata": {},
   "source": [
    "似乎各縣市的性別比例差異不大，但部份母數太小的縣市會產生偏差。可觀察逐年趨勢再做判斷。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "df9a3bb1",
   "metadata": {},
   "source": [
    "# Q5\n",
    "\n",
    "各縣市的胎數"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "cdcbbf54",
   "metadata": {},
   "outputs": [],
   "source": [
    "q5 = data.groupby(['city','birth_order'], as_index=False)['birth_count'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "a32a4750",
   "metadata": {},
   "outputs": [],
   "source": [
    "q5['percentage'] = q5['birth_count']/q5.groupby('city')['birth_count'].transform('sum')*100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "6f780043",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.bar(q5[q5['city']=='連江縣']['birth_order'], q5[q5['city']=='連江縣']['birth_count']);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "9ebc5a23",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.bar(q5[q5['city']=='嘉義市']['birth_order'], q5[q5['city']=='嘉義市']['birth_count']);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "263c0b22",
   "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>city</th>\n",
       "      <th>birth_order</th>\n",
       "      <th>birth_count</th>\n",
       "      <th>percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>南投縣</td>\n",
       "      <td>1胎</td>\n",
       "      <td>1371</td>\n",
       "      <td>48.291652</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>南投縣</td>\n",
       "      <td>2胎</td>\n",
       "      <td>950</td>\n",
       "      <td>33.462487</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>南投縣</td>\n",
       "      <td>3胎</td>\n",
       "      <td>337</td>\n",
       "      <td>11.870377</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>南投縣</td>\n",
       "      <td>4胎</td>\n",
       "      <td>114</td>\n",
       "      <td>4.015498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>南投縣</td>\n",
       "      <td>5胎</td>\n",
       "      <td>31</td>\n",
       "      <td>1.091934</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>高雄市</td>\n",
       "      <td>5胎</td>\n",
       "      <td>73</td>\n",
       "      <td>0.404387</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>高雄市</td>\n",
       "      <td>6胎</td>\n",
       "      <td>26</td>\n",
       "      <td>0.144028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>高雄市</td>\n",
       "      <td>7胎</td>\n",
       "      <td>4</td>\n",
       "      <td>0.022158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>高雄市</td>\n",
       "      <td>8胎</td>\n",
       "      <td>3</td>\n",
       "      <td>0.016619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>高雄市</td>\n",
       "      <td>9胎以上</td>\n",
       "      <td>2</td>\n",
       "      <td>0.011079</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>198 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    city birth_order  birth_count  percentage\n",
       "0    南投縣          1胎         1371   48.291652\n",
       "1    南投縣          2胎          950   33.462487\n",
       "2    南投縣          3胎          337   11.870377\n",
       "3    南投縣          4胎          114    4.015498\n",
       "4    南投縣          5胎           31    1.091934\n",
       "..   ...         ...          ...         ...\n",
       "193  高雄市          5胎           73    0.404387\n",
       "194  高雄市          6胎           26    0.144028\n",
       "195  高雄市          7胎            4    0.022158\n",
       "196  高雄市          8胎            3    0.016619\n",
       "197  高雄市        9胎以上            2    0.011079\n",
       "\n",
       "[198 rows x 4 columns]"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "q5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "3d1bd06a",
   "metadata": {},
   "outputs": [],
   "source": [
    "q5_table=q5.pivot(index='birth_order', columns='city', values='percentage')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "b164fabb",
   "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>city</th>\n",
       "      <th>南投縣</th>\n",
       "      <th>嘉義市</th>\n",
       "      <th>嘉義縣</th>\n",
       "      <th>基隆市</th>\n",
       "      <th>宜蘭縣</th>\n",
       "      <th>屏東縣</th>\n",
       "      <th>彰化縣</th>\n",
       "      <th>新北市</th>\n",
       "      <th>新竹市</th>\n",
       "      <th>新竹縣</th>\n",
       "      <th>...</th>\n",
       "      <th>臺中市</th>\n",
       "      <th>臺北市</th>\n",
       "      <th>臺南市</th>\n",
       "      <th>臺東縣</th>\n",
       "      <th>花蓮縣</th>\n",
       "      <th>苗栗縣</th>\n",
       "      <th>連江縣</th>\n",
       "      <th>金門縣</th>\n",
       "      <th>雲林縣</th>\n",
       "      <th>高雄市</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>birth_order</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1胎</th>\n",
       "      <td>48.291652</td>\n",
       "      <td>51.784414</td>\n",
       "      <td>52.045028</td>\n",
       "      <td>54.230769</td>\n",
       "      <td>50.992908</td>\n",
       "      <td>49.927850</td>\n",
       "      <td>52.098700</td>\n",
       "      <td>55.584448</td>\n",
       "      <td>50.101420</td>\n",
       "      <td>49.881517</td>\n",
       "      <td>...</td>\n",
       "      <td>51.835664</td>\n",
       "      <td>53.710692</td>\n",
       "      <td>48.827071</td>\n",
       "      <td>44.604863</td>\n",
       "      <td>47.117202</td>\n",
       "      <td>46.832579</td>\n",
       "      <td>46.017699</td>\n",
       "      <td>48.007775</td>\n",
       "      <td>48.746736</td>\n",
       "      <td>53.290494</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2胎</th>\n",
       "      <td>33.462487</td>\n",
       "      <td>36.562272</td>\n",
       "      <td>33.921201</td>\n",
       "      <td>34.450549</td>\n",
       "      <td>33.865248</td>\n",
       "      <td>34.295334</td>\n",
       "      <td>35.607657</td>\n",
       "      <td>34.691266</td>\n",
       "      <td>39.785569</td>\n",
       "      <td>38.293839</td>\n",
       "      <td>...</td>\n",
       "      <td>36.330857</td>\n",
       "      <td>37.897574</td>\n",
       "      <td>38.509446</td>\n",
       "      <td>31.534954</td>\n",
       "      <td>33.553875</td>\n",
       "      <td>38.348416</td>\n",
       "      <td>40.707965</td>\n",
       "      <td>36.831876</td>\n",
       "      <td>35.587467</td>\n",
       "      <td>36.079105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3胎</th>\n",
       "      <td>11.870377</td>\n",
       "      <td>9.468318</td>\n",
       "      <td>10.168856</td>\n",
       "      <td>8.186813</td>\n",
       "      <td>11.099291</td>\n",
       "      <td>11.712362</td>\n",
       "      <td>9.545135</td>\n",
       "      <td>7.462440</td>\n",
       "      <td>8.026659</td>\n",
       "      <td>8.459716</td>\n",
       "      <td>...</td>\n",
       "      <td>9.205638</td>\n",
       "      <td>6.840371</td>\n",
       "      <td>9.674071</td>\n",
       "      <td>14.969605</td>\n",
       "      <td>11.720227</td>\n",
       "      <td>11.236802</td>\n",
       "      <td>7.079646</td>\n",
       "      <td>11.273081</td>\n",
       "      <td>12.010444</td>\n",
       "      <td>8.353645</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4胎</th>\n",
       "      <td>4.015498</td>\n",
       "      <td>1.383831</td>\n",
       "      <td>2.439024</td>\n",
       "      <td>1.923077</td>\n",
       "      <td>2.588652</td>\n",
       "      <td>2.477152</td>\n",
       "      <td>2.107482</td>\n",
       "      <td>1.688129</td>\n",
       "      <td>1.477833</td>\n",
       "      <td>2.345972</td>\n",
       "      <td>...</td>\n",
       "      <td>2.015953</td>\n",
       "      <td>1.257862</td>\n",
       "      <td>2.065601</td>\n",
       "      <td>5.851064</td>\n",
       "      <td>4.678639</td>\n",
       "      <td>2.337858</td>\n",
       "      <td>6.194690</td>\n",
       "      <td>3.012634</td>\n",
       "      <td>2.689295</td>\n",
       "      <td>1.678484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5胎</th>\n",
       "      <td>1.091934</td>\n",
       "      <td>0.436999</td>\n",
       "      <td>0.938086</td>\n",
       "      <td>0.659341</td>\n",
       "      <td>1.205674</td>\n",
       "      <td>1.082251</td>\n",
       "      <td>0.482965</td>\n",
       "      <td>0.371471</td>\n",
       "      <td>0.289771</td>\n",
       "      <td>0.497630</td>\n",
       "      <td>...</td>\n",
       "      <td>0.376967</td>\n",
       "      <td>0.221623</td>\n",
       "      <td>0.716213</td>\n",
       "      <td>2.203647</td>\n",
       "      <td>1.937618</td>\n",
       "      <td>0.641026</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.777454</td>\n",
       "      <td>0.704961</td>\n",
       "      <td>0.404387</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6胎</th>\n",
       "      <td>0.986263</td>\n",
       "      <td>0.364166</td>\n",
       "      <td>0.375235</td>\n",
       "      <td>0.439560</td>\n",
       "      <td>0.212766</td>\n",
       "      <td>0.288600</td>\n",
       "      <td>0.105374</td>\n",
       "      <td>0.107314</td>\n",
       "      <td>0.231817</td>\n",
       "      <td>0.379147</td>\n",
       "      <td>...</td>\n",
       "      <td>0.158435</td>\n",
       "      <td>0.053908</td>\n",
       "      <td>0.134939</td>\n",
       "      <td>0.303951</td>\n",
       "      <td>0.614367</td>\n",
       "      <td>0.452489</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.097182</td>\n",
       "      <td>0.182768</td>\n",
       "      <td>0.144028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7胎</th>\n",
       "      <td>0.140895</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.112570</td>\n",
       "      <td>0.109890</td>\n",
       "      <td>0.035461</td>\n",
       "      <td>0.120250</td>\n",
       "      <td>0.035125</td>\n",
       "      <td>0.045402</td>\n",
       "      <td>0.057954</td>\n",
       "      <td>0.142180</td>\n",
       "      <td>...</td>\n",
       "      <td>0.054633</td>\n",
       "      <td>0.017969</td>\n",
       "      <td>0.051900</td>\n",
       "      <td>0.227964</td>\n",
       "      <td>0.236295</td>\n",
       "      <td>0.037707</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.026110</td>\n",
       "      <td>0.022158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8胎</th>\n",
       "      <td>0.070447</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.072150</td>\n",
       "      <td>0.008781</td>\n",
       "      <td>0.024765</td>\n",
       "      <td>0.028977</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.005463</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010380</td>\n",
       "      <td>0.303951</td>\n",
       "      <td>0.141777</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.026110</td>\n",
       "      <td>0.016619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9胎以上</th>\n",
       "      <td>0.070447</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.024050</td>\n",
       "      <td>0.008781</td>\n",
       "      <td>0.024765</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.016390</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010380</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.113122</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.026110</td>\n",
       "      <td>0.011079</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "city               南投縣        嘉義市        嘉義縣        基隆市        宜蘭縣        屏東縣  \\\n",
       "birth_order                                                                     \n",
       "1胎           48.291652  51.784414  52.045028  54.230769  50.992908  49.927850   \n",
       "2胎           33.462487  36.562272  33.921201  34.450549  33.865248  34.295334   \n",
       "3胎           11.870377   9.468318  10.168856   8.186813  11.099291  11.712362   \n",
       "4胎            4.015498   1.383831   2.439024   1.923077   2.588652   2.477152   \n",
       "5胎            1.091934   0.436999   0.938086   0.659341   1.205674   1.082251   \n",
       "6胎            0.986263   0.364166   0.375235   0.439560   0.212766   0.288600   \n",
       "7胎            0.140895   0.000000   0.112570   0.109890   0.035461   0.120250   \n",
       "8胎            0.070447   0.000000   0.000000   0.000000   0.000000   0.072150   \n",
       "9胎以上          0.070447   0.000000   0.000000   0.000000   0.000000   0.024050   \n",
       "\n",
       "city               彰化縣        新北市        新竹市        新竹縣  ...        臺中市  \\\n",
       "birth_order                                              ...              \n",
       "1胎           52.098700  55.584448  50.101420  49.881517  ...  51.835664   \n",
       "2胎           35.607657  34.691266  39.785569  38.293839  ...  36.330857   \n",
       "3胎            9.545135   7.462440   8.026659   8.459716  ...   9.205638   \n",
       "4胎            2.107482   1.688129   1.477833   2.345972  ...   2.015953   \n",
       "5胎            0.482965   0.371471   0.289771   0.497630  ...   0.376967   \n",
       "6胎            0.105374   0.107314   0.231817   0.379147  ...   0.158435   \n",
       "7胎            0.035125   0.045402   0.057954   0.142180  ...   0.054633   \n",
       "8胎            0.008781   0.024765   0.028977   0.000000  ...   0.005463   \n",
       "9胎以上          0.008781   0.024765   0.000000   0.000000  ...   0.016390   \n",
       "\n",
       "city               臺北市        臺南市        臺東縣        花蓮縣        苗栗縣        連江縣  \\\n",
       "birth_order                                                                     \n",
       "1胎           53.710692  48.827071  44.604863  47.117202  46.832579  46.017699   \n",
       "2胎           37.897574  38.509446  31.534954  33.553875  38.348416  40.707965   \n",
       "3胎            6.840371   9.674071  14.969605  11.720227  11.236802   7.079646   \n",
       "4胎            1.257862   2.065601   5.851064   4.678639   2.337858   6.194690   \n",
       "5胎            0.221623   0.716213   2.203647   1.937618   0.641026   0.000000   \n",
       "6胎            0.053908   0.134939   0.303951   0.614367   0.452489   0.000000   \n",
       "7胎            0.017969   0.051900   0.227964   0.236295   0.037707   0.000000   \n",
       "8胎            0.000000   0.010380   0.303951   0.141777   0.000000   0.000000   \n",
       "9胎以上          0.000000   0.010380   0.000000   0.000000   0.113122   0.000000   \n",
       "\n",
       "city               金門縣        雲林縣        高雄市  \n",
       "birth_order                                   \n",
       "1胎           48.007775  48.746736  53.290494  \n",
       "2胎           36.831876  35.587467  36.079105  \n",
       "3胎           11.273081  12.010444   8.353645  \n",
       "4胎            3.012634   2.689295   1.678484  \n",
       "5胎            0.777454   0.704961   0.404387  \n",
       "6胎            0.097182   0.182768   0.144028  \n",
       "7胎            0.000000   0.026110   0.022158  \n",
       "8胎            0.000000   0.026110   0.016619  \n",
       "9胎以上          0.000000   0.026110   0.011079  \n",
       "\n",
       "[9 rows x 22 columns]"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "q5_table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "ad08610d",
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "sns.set(font='Noto Sans TC')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "af8be365",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.8/dist-packages/seaborn/axisgrid.py:712: UserWarning: Using the barplot function without specifying `order` is likely to produce an incorrect plot.\n",
      "  warnings.warn(warning)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 842.4x13099.7 with 22 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = sns.FacetGrid(q5, row='city', height=8.27, aspect=11.7/8.27)\n",
    "g.map(sns.barplot, 'birth_order', 'percentage');"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.8.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}