{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 中国家庭追踪调查2018\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-22T09:45:27.274079Z",
     "start_time": "2021-11-22T09:45:26.845904Z"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import pylab as plt\n",
    "\n",
    "plt.rcParams['font.sans-serif'] = ['Microsoft YaHei']  # 用来正常显示中文标签\n",
    "plt.rcParams['axes.unicode_minus'] = False  # 用来正常显示负号, 注意['SimHei']对应这句不行."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-22T10:01:22.068527Z",
     "start_time": "2021-11-22T10:01:15.399141Z"
    }
   },
   "outputs": [],
   "source": [
    "df = pd.read_stata('/Users/datalab/bigdata/中国家庭追踪调查2018/cfps2018person_202012.dta', \n",
    "                    convert_categoricals=False, convert_missing=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-22T10:01:23.335798Z",
     "start_time": "2021-11-22T10:01:23.309995Z"
    }
   },
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
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       "      <th>selfrpt</th>\n",
       "      <th>...</th>\n",
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       "      <th>gdge</th>\n",
       "      <th>gdgeyear</th>\n",
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       "      <th>catipilot</th>\n",
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       "      <th>pg1201_min</th>\n",
       "      <th>pg1201_max</th>\n",
       "      <th>interviewerid18</th>\n",
       "      <th>releaseversion</th>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>459505.0</td>\n",
       "      <td>2.1</td>\n",
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       "    <tr>\n",
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       "      <td>551.0</td>\n",
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       "<p>5 rows × 1371 columns</p>\n",
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      ],
      "text/plain": [
       "           pid   code     fid18     fid16     fid14  fid12  fid10  \\\n",
       "0  100051501.0  501.0  100051.0  100051.0  100051.0   -8.0   -8.0   \n",
       "1  100051502.0  502.0  100051.0  100051.0  100051.0   -8.0   -8.0   \n",
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       "3  100376551.0  551.0  100376.0  100376.0      -8.0   -8.0   -8.0   \n",
       "4  100551551.0  551.0  100551.0  100551.0      -8.0   -8.0   -8.0   \n",
       "\n",
       "       pid_a_f      pid_a_m  selfrpt  ...  cfps2018eduy_im  gdge  gdgeyear  \\\n",
       "0  110043201.0  110043105.0      1.0  ...             12.0   NaN       NaN   \n",
       "1         -8.0         -8.0      1.0  ...             12.0   NaN       NaN   \n",
       "2         -8.0         -8.0      1.0  ...              NaN   NaN       NaN   \n",
       "3         -8.0         -8.0      1.0  ...              NaN   NaN       NaN   \n",
       "4         -8.0         -8.0      1.0  ...              NaN   NaN       NaN   \n",
       "\n",
       "   gdgemonth  catipilot  pg02  pg1201_min  pg1201_max  interviewerid18  \\\n",
       "0        NaN        0.0   NaN         NaN         NaN         761040.0   \n",
       "1        NaN        0.0   NaN         NaN         NaN         761040.0   \n",
       "2        NaN        0.0   NaN         NaN         NaN         459505.0   \n",
       "3        NaN        0.0   NaN         NaN         NaN         526621.0   \n",
       "4        NaN        0.0   NaN         NaN         NaN         696822.0   \n",
       "\n",
       "   releaseversion  \n",
       "0             2.1  \n",
       "1             2.1  \n",
       "2             2.1  \n",
       "3             2.1  \n",
       "4             2.1  \n",
       "\n",
       "[5 rows x 1371 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-22T10:01:25.187230Z",
     "start_time": "2021-11-22T10:01:25.183612Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "37354"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-22T10:01:31.469877Z",
     "start_time": "2021-11-22T10:01:31.465462Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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'ear6sy_a_41', 'ear6sy_a_5', 'ear6sy_a_6', 'ear6sy_a_7', 'ear6sy_a_9', 'ear7a_a_1', 'ear7a_a_2', 'ear7a_a_3', 'ear7c_a_1_code', 'ear7c_a_2_code', 'ear7c_a_3_code', 'ear7e_a_1_code', 'ear7e_a_2_code', 'ear7mm_a_1', 'ear7mm_a_2', 'ear7mm_a_3', 'ear7my_a_1', 'ear7my_a_2', 'ear7my_a_3', 'ear7sefc_a_1', 'ear7sefc_a_2', 'ear7sefc_a_3', 'ear7sefm_a_1', 'ear7sefm_a_2', 'ear7sefm_a_3', 'ear7sefy_a_1', 'ear7sefy_a_2', 'ear7sefy_a_3', 'ear7sesm_a_1', 'ear7sesm_a_2', 'ear7sesm_a_3', 'ear7sesy_a_1', 'ear7sesy_a_2', 'ear7sesy_a_3', 'eb202_1', 'eb203_1', 'eb406_1_a_1', 'eb406_1_a_2', 'eb602_1_a_1', 'eb602_1_a_2', 'eb602_1_a_3', 'edu_last', 'edu_updated', 'eeb1', 'eeb2', 'eeb201m', 'eeb201y', 'eeb202c', 'eeb202m', 'eeb202y', 'eeb203c', 'eeb203m', 'eeb203y', 'eeb301', 'eeb302code', 'eeb4', 'eeb401m_a_1', 'eeb401m_a_2', 'eeb401y_a_1', 'eeb401y_a_2', 'eeb4021_a_1', 'eeb4021_a_2', 'eeb4022_a_1code', 'eeb402m_a_1', 'eeb402m_a_2', 'eeb402y_a_1', 'eeb402y_a_2', 'eeb403_a_1', 'eeb403_a_2', 'eeb404_a_1', 'eeb404_a_2', 'eeb406c_a_1', 'eeb406c_a_2', 'eeb406m_a_1', 'eeb406m_a_2', 'eeb406y_a_1', 'eeb406y_a_2', 'eeb407_a_1', 'eeb407_a_2', 'eeb409_a_1', 'eeb409_a_2', 'eeb5', 'eeb501', 'eeb6', 'eeb601m_a_1', 'eeb601m_a_2', 'eeb601m_a_3', 'eeb601y_a_1', 'eeb601y_a_2', 'eeb601y_a_3', 'eeb602c_a_1', 'eeb602c_a_2', 'eeb602c_a_3', 'eeb602m_a_1', 'eeb602m_a_2', 'eeb602m_a_3', 'eeb602y_a_1', 'eeb602y_a_2', 'eeb602y_a_3', 'eeb603m_a_1', 'eeb603m_a_2', 'eeb603m_a_3', 'eeb603y_a_1', 'eeb603y_a_2', 'eeb603y_a_3', 'eeb604_a_1', 'eeb604_a_2', 'eeb604_a_3', 'egc101', 'egc1011', 'egc103', 'egc104c', 'egc104m', 'egc104y', 'egc105', 'egc1052m', 'egc1052y', 'egc1053c', 'egc1053m', 'egc1053y', 'egc201', 'egc2012m_a_1', 'egc2012m_a_2', 'egc2012m_a_3', 'egc2012m_a_4', 'egc2012m_a_5', 'egc2012m_a_6', 'egc2012m_a_7', 'egc2012y_a_1', 'egc2012y_a_2', 'egc2012y_a_3', 'egc2012y_a_4', 'egc2012y_a_5', 'egc2012y_a_6', 'egc2012y_a_7', 'egc2013c_a_1', 'egc2013c_a_2', 'egc2013c_a_3', 'egc2013c_a_4', 'egc2013c_a_5', 'egc2013c_a_6', 'egc2013c_a_7', 'egc2013m_a_1', 'egc2013m_a_2', 'egc2013m_a_3', 'egc2013m_a_4', 'egc2013m_a_5', 'egc2013m_a_6', 'egc2013m_a_7', 'egc2013y_a_1', 'egc2013y_a_2', 'egc2013y_a_3', 'egc2013y_a_4', 'egc2013y_a_5', 'egc2013y_a_6', 'egc2013y_a_7', 'egc2021_a_1', 'egc2021_a_2', 'egc2021_a_3', 'egc2021_a_4', 'egc2021_a_5', 'egc2021_a_6', 'egc2021_a_7', 'egc2021_b_1', 'egc202_a_1', 'egc202_a_2', 'egc202_a_3', 'egc202_a_4', 'egc202_a_5', 'egc202_a_6', 'egc202_a_7', 'egc202_b_1', 'egc2031_a_1', 'egc2031_a_2', 'egc2031_a_3', 'egc2031_a_4', 'egc2031_a_5', 'egc2031_a_6', 'egc2031_a_7', 'egc2031_b_1', 'egc203_a_1', 'egc203_a_2', 'egc203_a_3', 'egc203_a_4', 'egc203_a_5', 'egc203_a_6', 'egc203_a_7', 'egc203_b_1', 'egc204_a_1', 'egc204_a_2', 'egc204_a_3', 'egc204_a_4', 'egc204_a_5', 'egc204_a_6', 'egc204_a_7', 'egc204_b_1', 'egc205_a_1', 'egc205_a_2', 'egc205_a_3', 'egc205_a_4', 'egc205_a_5', 'egc205_a_6', 'egc205_a_7', 'egc205_b_1', 'employ', 'eversmoke', 'father_dead', 'fid10', 'fid12', 'fid14', 'fid16', 'fid18', 'firstenterehcm', 'firstenterehcy', 'firstj_last', 'fml_count', 'gc1012_max', 'gc1012_min', 'gdge', 'gdgemonth', 'gdgeyear', 'gender', 'gender_update', 'gene', 'ibirthy', 'ibirthy_update', 'iinterv', 'iintervy', 'income', 'incomea', 'incomeb', 'interrupt', 'interviewerid18', 'jobclass', 'jobclass_2016', 'jobclass_a_1', 'jobclass_a_2', 'jobclass_a_3', 'jobclass_a_4', 'jobclass_a_5', 'jobclass_a_6', 'jobclass_a_7', 'jobclass_base', 'jobclass_base_2016', 'jobclass_base_a_1', 'jobclass_base_a_2', 'jobclass_base_a_3', 'jobclass_base_a_4', 'jobclass_base_a_5', 'jobclass_base_a_6', 'jobclass_base_a_7', 'jobstartn', 'kg1301', 'kg1302', 'kg13a_a_1', 'kg13a_a_2', 'kg13a_a_3', 'kg13a_a_4', 'kg13a_a_5', 'kg13a_a_77', 'kg13a_s_1', 'kg13a_s_2', 'kg13a_s_3', 'kg23', 'kgd101', 'kgd1a', 'kgd2', 'kgd2a_a_1', 'kgd2a_a_2', 'kgd2a_a_3', 'kgd2a_a_4', 'kgd2a_a_5', 'kgd2a_a_77', 'kgd2a_s_1', 'kgd2a_s_2', 'kgd2a_s_3', 'kgd2a_s_4', 'kgd3code', 'kgd4code', 'kgd4code_isco', 'kgd4code_isei', 'kgd4code_siops', 'kr425', 'kr426', 'kr4301', 'kr4302', 'kr431', 'kr432', 'kra605', 'kw0', 'kw1001_b_1', 'kw1001_b_2', 'kw1001_b_3', 'kw1001_b_4', 'kw1001_b_5', 'kw1001_b_6', 'kw1001_b_7', 'kw1002_b_1code', 'kw1002_b_2code', 'kw1003_a_1code', 'kw1003_a_2code', 'kw1003_a_3code', 'kw1003_a_4code', 'kw1004_b_1', 'kw1004_b_2', 'kw1004_b_3', 'kw1004_b_4', 'kw1004_b_5', 'kw1004_b_6', 'kw1004_b_7', 'kw1005_b_1', 'kw1005_b_2', 'kw1005_b_3', 'kw1_s_1', 'kw1_s_2', 'kw1_s_3', 'kw1_s_4', 'kw1_s_5', 'kw1_s_6', 'kw1_s_7', 'kw1_s_8', 'kw1_s_9', 'kw2m', 'kw2y', 'kw301_b_1', 'kw401_b_1', 'kw501_b_1', 'kw601_b_1', 'kw701_b_1', 'kw801_b_1', 'kw801_b_2', 'kwa1_b_1', 'kwa2_b_1', 'kz202', 'kz203', 'kz207', 'kz5', 'lastyjob_comm_a_1', 'lastyjob_comm_a_2', 'lastyjob_comm_a_3', 'lastyjob_comm_a_4', 'lastyjob_comm_a_5', 'lastyjob_comm_a_6', 'lastyjob_comm_a_7', 'lastyjob_cur', 'lastyjob_last', 'lsample', 'm1m', 'm401', 'm7', 'marriage_last', 'marriage_last_update', 'marriagen', 'mathlist', 'mathtest18', 'mathtest18_sc2', 'metotal', 'military', 'mincomea_a_1', 'mincomea_a_2', 'mincomea_a_3', 'mincomea_a_4', 'mincomea_a_5', 'mincomea_a_6', 'mincomea_a_7', 'mincomea_b_1', 'minzu', 'mother_dead', 'outunit18', 'party', 'pd501a', 'pd501b', 'pd502a', 'pd503a', 'pd503r', 'pd504a', 'pd577r', 'pd5ckp', 'pd5total', 'pd5total_m', 'pd6', 'pd7r', 'pension', 'pg02', 'pg1201_max', 'pg1201_min', 'pid', 'pid_a_f', 'pid_a_m', 'plane', 'provcd18', 'proxy_iwmode', 'proxyrpt', 'proxytype', 'psu', 'pt1', 'pt2', 'pt201', 'pt3', 'pt301', 'pt4', 'pt401', 'pt5', 'pt501', 'pt7', 'pt701', 'pt8', 'qa001b', 'qa001m', 'qa001y', 'qa002', 'qa101', 'qa301', 'qa302', 'qa3020', 'qa302a_code', 'qa302c_code', 'qa303m', 'qa303y', 'qa401', 'qa401a_code', 'qa401c_code', 'qa601', 'qa602', 'qa602a_code', 'qa602c_code', 'qa603', 'qa701code', 'qa9', 'qa901', 'qa902', 'qbb001', 'qbb002', 'qbb003', 'qbb004', 'qbb005', 'qc1', 'qc2', 'qc201', 'qc3', 'qc4', 'qc401', 'qc5', 'qc701', 'qc7a', 'qc7b', 'qea0', 'qea1', 'qea2', 'qea201m', 'qea201y', 'qea202', 'qea203code', 'qea204', 'qea205m', 'qea205y', 'qea206', 'qea207', 'qea2071', 'qea208m', 'qea208y', 'qea209m', 'qea209y', 'qea210code', 'qea2111', 'qea211m', 'qea211y', 'qeb405_1_a_1', 'qeb405_1_a_2', 'qext002', 'qext004', 'qext006', 'qext008', 'qext012', 'qext013', 'qf1_a_1', 'qf1_a_2', 'qf1_a_3', 'qf1_a_4', 'qf1_a_5', 'qf1_a_6', 'qf1_a_7', 'qf1_a_8', 'qf1_a_9', 'qf201_a_1', 'qf201_a_2', 'qf201_a_3', 'qf201_a_4', 'qf201_a_5', 'qf201_a_6', 'qf201_a_7', 'qf201_a_8', 'qf201_a_9', 'qf202_a_1', 'qf202_a_2', 'qf202_a_3', 'qf202_a_4', 'qf202_a_5', 'qf202_a_6', 'qf202_a_7', 'qf202_a_8', 'qf202_a_9', 'qf203_a_1', 'qf203_a_2', 'qf203_a_3', 'qf203_a_4', 'qf203_a_5', 'qf203_a_6', 'qf203_a_7', 'qf203_a_8', 'qf203_a_9', 'qf204_a_1', 'qf204_a_2', 'qf204_a_3', 'qf204_a_4', 'qf204_a_5', 'qf204_a_6', 'qf204_a_7', 'qf204_a_8', 'qf301_a_1', 'qf301_a_2', 'qf301_a_3', 'qf301_a_4', 'qf301_a_5', 'qf301_a_6', 'qf301_a_7', 'qf301_a_8', 'qf301_a_9', 'qf302_a_1', 'qf302_a_2', 'qf302_a_3', 'qf302_a_4', 'qf302_a_5', 'qf302_a_6', 'qf302_a_7', 'qf302_a_8', 'qf303_a_1', 'qf303_a_2', 'qf303_a_3', 'qf303_a_4', 'qf303_a_5', 'qf303_a_6', 'qf303_a_7', 'qf303_a_8', 'qf303_a_9', 'qf304_a_1', 'qf304_a_2', 'qf304_a_3', 'qf304_a_4', 'qf304_a_5', 'qf304_a_6', 'qf304_a_7', 'qf304_a_8', 'qf304_a_9', 'qf305_a_1', 'qf305_a_2', 'qf305_a_3', 'qf305_a_4', 'qf305_a_5', 'qf305_a_6', 'qf305_a_7', 'qf305_a_8', 'qf305_a_9', 'qf306_a_1', 'qf306_a_2', 'qf306_a_3', 'qf306_a_4', 'qf306_a_5', 'qf306_a_6', 'qf306_a_7', 'qf306_a_8', 'qf306_a_9', 'qf5_a_1', 'qf5_a_2', 'qf601_a_1', 'qf601_a_2', 'qf602_a_1', 'qf602_a_2', 'qf603_a_1', 'qf603_a_2', 'qf604_a_1', 'qf604_a_2', 'qf701_a_1', 'qf701_a_2', 'qf702_a_1', 'qf702_a_2', 'qf703_a_1', 'qf703_a_2', 'qf704_a_1', 'qf704_a_2', 'qf705_a_1', 'qf705_a_2', 'qf706_a_1', 'qf706_a_2', 'qg1', 'qg10', 'qg1001', 'qg101', 'qg11', 'qg1101', 'qg1102', 'qg12', 'qg1201_max', 'qg1201_min', 'qg1202', 'qg1203', 'qg1204_max', 'qg1204_min', 'qg1303', 'qg1304', 'qg1305', 'qg14', 'qg1401code', 'qg15', 'qg1501', 'qg16', 'qg17', 'qg1701', 'qg18', 'qg19', 'qg2', 'qg20', 'qg201', 'qg2032', 'qg22', 'qg301', 'qg3011', 'qg301a_code', 'qg301c_code', 'qg302code', 'qg303code', 'qg303code_egp', 'qg303code_isco', 'qg303code_isei', 'qg303code_siops', 'qg401', 'qg402', 'qg403', 'qg404', 'qg405', 'qg406', 'qg5', 'qg501', 'qg502', 'qg6', 'qg701_a_1', 'qg701_a_2', 'qg701_a_3', 'qg701_a_5', 'qg702', 'qg7_a_1', 'qg7_a_2', 'qg7_a_3', 'qg7_a_4', 'qg7_a_77', 'qg7_a_78', 'qg7_s_1', 'qg7_s_2', 'qg7_s_3', 'qg7_s_4', 'qg7_s_5', 'qg801_a_1', 'qg801_a_2', 'qg801_a_3', 'qg801_a_4', 'qg801_a_5', 'qg8_a_1', 'qg8_a_2', 'qg8_a_3', 'qg8_a_4', 'qg8_a_77', 'qg8_a_78', 'qg8_s_1', 'qg8_s_2', 'qg8_s_3', 'qg8_s_4', 'qg8_s_5', 'qg901', 'qg9_a_1', 'qg9_a_2', 'qg9_a_3', 'qg9_a_4', 'qg9_a_5', 'qg9_a_78', 'qg9_s_1', 'qg9_s_2', 'qg9_s_3', 'qg9_s_4', 'qg9_s_5', 'qga1', 'qga101', 'qga2', 'qga301', 'qga302', 'qga401code', 'qga401code_isco', 'qga401code_isei', 'qga401code_siops', 'qga4code', 'qgb1', 'qgb2', 'qgb201', 'qgb3', 'qgb4', 'qgb5', 'qgb501', 'qgb6', 'qgd0', 'qgd01', 'qi101', 'qi1011', 'qi102m', 'qi102y', 'qi200', 'qi2001', 'qi202', 'qi203_max', 'qi203_mean', 'qi203_min', 'qi301_a_1', 'qi301_a_2', 'qi301_a_3', 'qi301_a_4', 'qi301_a_5', 'qi301_a_6', 'qi301_a_7', 'qi301_a_77', 'qi301_a_78', 'qi301_s_1', 'qi301_s_2', 'qi301_s_3', 'qi301_s_4', 'qi301_s_5', 'qi301_s_6', 'qi301_s_7', 'qint001', 'qint003', 'qint005', 'qint007', 'qint009', 'qint010', 'qint011', 'qint014', 'qk5', 'qk6', 'qk701m', 'qk702', 'qk703', 'qk7m', 'qk811', 'qk812', 'qk815', 'qk816', 'qk821', 'qk822', 'qk825', 'qk826', 'qka201', 'qka202', 'qka203', 'qka204', 'qkz204', 'qm101m', 'qm102m', 'qm103m', 'qm104m', 'qm105m', 'qm106m', 'qm107m', 'qm108m', 'qm109m', 'qm110m', 'qm201', 'qm2011', 'qm2016', 'qm202', 'qm203', 'qm204', 'qm205', 'qm206', 'qm207', 'qm208', 'qm209', 'qm210', 'qm211', 'qm212', 'qm213', 'qm214', 'qm215', 'qm4011', 'qm40110', 'qm40111', 'qm4012', 'qm4013', 'qm4014', 'qm4015', 'qm4016', 'qm4017', 'qm4018', 'qm4019', 'qm501', 'qm501a', 'qm502', 'qm503', 'qm504', 'qm505', 'qm506', 'qm507', 'qm508', 'qm509', 'qm510', 'qm6', 'qm6010', 'qm6011', 'qm6012', 'qm6013', 'qm6014', 'qm6015', 'qm6016', 'qm6017', 'qm801', 'qm802', 'qm803', 'qm9', 'qn1001', 'qn10021', 'qn10022', 'qn10023', 'qn10024', 'qn10025', 'qn10026', 'qn101', 'qn102', 'qn103', 'qn104', 'qn105', 'qn1101', 'qn12012', 'qn12016', 'qn2', 'qn201_b_1', 'qn201_b_2', 'qn202', 'qn203', 'qn3', 'qn4001', 'qn4002', 'qn4003', 'qn4004', 'qn4005', 'qn402', 'qn406', 'qn407', 'qn411', 'qn412', 'qn414', 'qn416', 'qn418', 'qn420', 'qn6011', 'qn6012', 'qn6013', 'qn6014', 'qn6015', 'qn6016', 'qn6017', 'qn6018', 'qn8011', 'qn8012', 'qp101', 'qp102', 'qp103', 'qp201', 'qp202', 'qp301', 'qp302code', 'qp303', 'qp304', 'qp401', 'qp402acode', 'qp402bcode', 'qp501', 'qp502', 'qp601', 'qp602', 'qp603', 'qp605_a_1', 'qp605_a_2', 'qp605_a_3', 'qp605_a_4', 'qp605_a_5', 'qp605_a_78', 'qp605_s_1', 'qp605_s_2', 'qp605_s_3', 'qp605_s_4', 'qp605_s_5', 'qp701', 'qp702', 'qph1', 'qph2', 'qph3', 'qq1001', 'qq1002', 'qq1011', 'qq1012', 'qq1013', 'qq1014', 'qq1015', 'qq1016', 'qq1017', 'qq1101', 'qq1102', 'qq201', 'qq2011', 'qq202', 'qq204', 'qq205', 'qq301', 'qq401', 'qq4010', 'qq4011', 'qq4012', 'qq402', 'qq403a', 'qq403b', 'qq501', 'qq701a', 'qq9010', 'qq9011', 'qq9012', 'qr0', 'qr1', 'qr2', 'qr3', 'qr4', 'qr5', 'qr6', 'qr7', 'qs10', 'qs1001', 'qs1002', 'qs1003', 'qs1011', 'qs1012', 'qs102b', 'qs11', 'qs1102', 'qs1103', 'qs1_b_1code', 'qs1_b_2', 'qs2', 'qs201', 'qs202', 'qs3', 'qs3m', 'qs401code', 'qs4_b_1', 'qs4_b_2', 'qs5', 'qs501_b_1code', 'qs501_b_2', 'qs502', 'qs503', 'qs504', 'qs601', 'qs601n', 'qs602', 'qs602n', 'qs603', 'qs603mn', 'qs604', 'qs604n', 'qs605', 'qs605n', 'qs606', 'qs606mn', 'qs7', 'qs701_b_1code', 'qs701_b_2', 'qs702', 'qs703', 'qs704', 'qs705', 'qs8', 'qs801_b_1', 'qs801_b_2code', 'qs9code', 'qu102', 'qu102a', 'qu1m', 'qu201', 'qu202', 'qu230', 'qu231m', 'qu240', 'qu250m', 'qu301', 'qu302', 'qu303', 'qu304', 'qu305', 'qu601', 'qu602', 'qu603', 'qu701', 'qu702', 'qu703', 'qu704', 'qu705', 'qu7051', 'qu801', 'qu802', 'qu803', 'qu804', 'qu805', 'qu806', 'qx3', 'qx301', 'qx301un', 'qx4', 'qx401', 'qx401un', 'qx5', 'qx501', 'qx501un', 'qx6', 'qx601', 'qx601un', 'qx7', 'qz101_s_1', 'qz101_s_2', 'qz102_s_1', 'qz102_s_2', 'qz102_s_3', 'qz103', 'r1_last', 'releaseversion', 'respc1pid', 'retire', 'risko', 'rswt_natcs18n', 'rswt_natpn1018n', 'school', 'school_last', 'self_iwmode', 'selfrpt', 'smokeage', 'subpopulation', 'subsample', 'tb6_a18_p', 'train', 'urban18', 'w01', 'whichmathlist', 'whichwordlist', 'wk9', 'wl6', 'wl7', 'wl801', 'wl802', 'wl803', 'wm701', 'wm702', 'wm703', 'wm704', 'wm705', 'wm706', 'wm707', 'wm708', 'wm709', 'wm710', 'wm711', 'wm712', 'wordlist', 'wordtest18', 'wordtest18_sc2', 'wv101', 'wv102', 'wv103', 'wv104', 'wv105', 'wv106', 'wv107', 'wv108', 'xchildpid_a_1', 'xchildpid_a_10', 'xchildpid_a_2', 'xchildpid_a_3', 'xchildpid_a_4', 'xchildpid_a_5', 'xchildpid_a_6', 'xchildpid_a_7', 'xchildpid_a_8', 'xchildpid_a_9', 'yincomea_a_1', 'yincomea_a_2', 'yincomea_a_3', 'yincomea_a_4', 'yincomea_a_5', 'yincomea_a_6', 'yincomea_a_7', 'yincomea_b_1']\n"
     ]
    }
   ],
   "source": [
    "print(sorted(df.columns.tolist()))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 幸福感"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       " 10.0    8571\n",
       " 8.0     8172\n",
       " 5.0     5031\n",
       " 7.0     3531\n",
       " 9.0     2870\n",
       " 6.0     2556\n",
       " 3.0      659\n",
       " 4.0      656\n",
       " 2.0      300\n",
       " 0.0      272\n",
       "-8.0      267\n",
       " 1.0      192\n",
       "-1.0       15\n",
       "-2.0        5\n",
       "Name: qm2016, dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 你有多幸福？\n",
    "# QM2016\"有多幸福(分)\"若 0 分代表最低，10 分代表最高，“【CAPI】加载您/你”觉 得自己有多幸福? 0..10\n",
    "df['qm2016'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYEAAAD/CAYAAAAXBmohAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/MnkTPAAAACXBIWXMAAAsTAAALEwEAmpwYAAAUeElEQVR4nO3dfbBc9X3f8fenCCLhCIeH6xEgGTF2nGLcDo3UaeKSggkUYzczRp2GhyqAKNBmSKHGD0PtpvGMHQZP7ZCph2mroCJPYGxjOyixVSYGt3aStmot2dQEGjDCegxQGdIKrGhq0Ld/7BE9Xq4e7u6V9mp+79fMHe1+f789+92jK332d87ec1NVSJLa9Fcm3YAkaXIMAUlqmCEgSQ0zBCSpYYaAJDXMEJCkhh12CCRZkORtR7IZSdLRdcgQSHJSknXA88CHu9qpSb6Q5HtJNie5sjf/ziQ7kjyWZFlXm5dkbZKdSTYkOburL0zy1W7+15KcekRepSRpWoezEtgHfAa4rVebAv5NVf00cCnwb5Mcn+Qi4HxgaTd/TTf/GmA+sLir3dXVPwQ8XlWLgW8Bvz7Wq5EkzcghQ6CqXq6qrwOv9Gp/VlXf6G4/DfwIWACsANZW1StV9TAwlWRRV7+nBj+efD9wcbepFcDvdLc/C7x7Vl6VJOmwzBt3A0kuA75dVbuTLAF+vze8EzgdWAJsBaiqPUn2JDmZwcpgWzd3Rzf3oE477bRaunTpuG1LUjM2bdr0g6qamm5srBBI8lbgXwF/ryudwODw0X77gFcPs76/Nt3z3ATcBPDmN7+ZjRs3jtO2JDUlydYDjY38EdEkZwFfAq6pqi1d+VngzN60Mxi8w3+tnmQBMK+qdgPPdXNgsCrYPt1zVdXqqlpeVcunpqYNM0nSCEYKgSRnAr8H3FhV3+4NrQeuTXJckkuAp6rqxa6+qpuzEljXm399d3sV8MVR+pEkjeaQh4OSLAS+AywE5ie5EAhwGvC5JPunvh14ELgAeAZ4Abi6G7sbuDfJ9m7siq7+G902dgCbevMlSUdBjrXfJ7B8+fLynIAkHb4km6pq+XRjXjZCkhpmCEhSwwwBSWqYISBJDTMEJKlhY182QpI0vaW3r5+1bW25872ztq0+VwKS1DBDQJIaZghIUsMMAUlqmCEgSQ0zBCSpYYaAJDXMEJCkhhkCktQwQ0CSGmYISFLDDAFJapghIEkNMwQkqWGGgCQ1zBCQpIYZApLUMENAkhpmCEhSwwwBSWrYYYdAkgVJ3nYkm5EkHV2HDIEkJyVZBzwPfLhXvzXJtiRPJrmsV78zyY4kjyVZ1tXmJVmbZGeSDUnO7uoLk3y1m/+1JKfO+iuUJB3Q4awE9gGfAW7bX0jyFuBm4FzgcmBNkuOTXAScDyzt5q/pHnINMB9Y3NXu6uofAh6vqsXAt4BfH/P1SJJm4JAhUFUvV9XXgVd65cuBB6rqpap6AtgCLANWAGur6pWqehiYSrKoq99TVQXcD1zcbWcF8Dvd7c8C756F1yRJOkyjnhheAmzt3d8BnD5Nfedwvar2AHuSnMxgZbBtaBuSpKNk1BA4gcFhov32Aa+OWd9fe50kNyXZmGTjrl27RmxZkjRs1BB4Fjizd38xsH2a+hkM3uG/Vk+yAJhXVbuB57o5/W28TlWtrqrlVbV8ampqxJYlScNGDYH1wJVJTkxyDnAK8GhXvzbJcUkuAZ6qqhe7+qrusSuBdb3tXN/dXgV8ccR+JEkjmHeoCUkWAt8BFgLzk1wI3AjcBzwO7AVuqKpK8iBwAfAM8AJwdbeZu4F7k2zvxq7o6r8BfC7JDmBTb74k6Sg4ZAhU1UvAW6cZ+k/AHUNz9wG3dF/9+l7gqmm2/SJw6Qz6lSTNIi8bIUkNMwQkqWGGgCQ1zBCQpIYZApLUMENAkhpmCEhSwwwBSWqYISBJDTMEJKlhhoAkNcwQkKSGGQKS1DBDQJIaZghIUsMMAUlqmCEgSQ0zBCSpYYaAJDXMEJCkhhkCktQwQ0CSGmYISFLDDAFJapghIEkNMwQkqWGGgCQ1zBCQpIbNG+fBSW4DfrXbzqeq6u4ktwIfAP4S+GdV9VA3905gJfAXwHVVtSnJPOAe4BJgO3BVVX1/nJ4kaRxLb18/6RaOqpFDIMlS4BbgXGA+8EySbwA3d7UlwCNJzgJ+ATgfWAq8C1gDnAdc0z12MXADcBfwvlF7kiTNzDiHg37U/bmPQZi8DLwHeKCqXqqqJ4AtwDJgBbC2ql6pqoeBqSSLuvo9VVXA/cDFY/QjSZqhkUOgqnYCHwM2AI8AVzF4R7+1N20HcDqDVUG/vnO4XlV7gD1JTh5+riQ3JdmYZOOuXbtGbVmSNGTkEEhyEnA1cCvwW8AHgRMYrAz22we8OkL9x1TV6qpaXlXLp6amRm1ZkjRknMNBK4HvVtU3qurervYccGZvzmIGJ3yfHaqfwWCV8Fo9yQJgXlXtHqMnSdIMjBMCe4HzkhyfZCHwNgaHha5McmKSc4BTgEeB9cC1SY5LcgnwVFW92NVXddtbCawbox9J0gyN8xHR+4CLgGcYfBz0s1X1n5PcBzzOICRuqKpK8iBwQTf3BQaHkQDuBu5Nsr0bu2KMfiRJMzRyCFTV/2Xw7n24fgdwx1BtH4OPk94yVN/L4ISyJGkC/IlhSWqYISBJDTMEJKlhhoAkNcwQkKSGGQKS1DBDQJIaZghIUsMMAUlqmCEgSQ0zBCSpYYaAJDXMEJCkhhkCktQwQ0CSGmYISFLDDAFJapghIEkNMwQkqWGGgCQ1zBCQpIYZApLUMENAkhpmCEhSwwwBSWqYISBJDTMEJKlhY4VAkjcm+XySnUk2Jzkhya1JtiV5Msllvbl3JtmR5LEky7ravCRru8dvSHL2uC9IknT4xl0JfAb4U2AxcC6wBLi5u305sCbJ8UkuAs4HlgK3AWu6x18DzO8evwa4a8x+JEkzMHIIJFkEvBO4owb2MviP/4GqeqmqngC2AMuAFcDaqnqlqh4GprrHrwDuqaoC7gcuHu/lSJJmYpyVwLnA94Evd4d+PsVgJbC1N2cHcPo09Z3D9araA+xJcvLwEyW5KcnGJBt37do1RsuSpL55Yzz2TcDbgb8F/AXwCLAI+G5vzj7gVeCE7vbh1n9MVa0GVgMsX768xuhZktQzTgj8L2BTVe0ASPIwg//Az+zNWQxsB54dqp/BYJWwv745yQJgXlXtHqMnSdIMjHM4aAPw9iRnJPkJBsfzXwauTHJiknOAU4BHgfXAtUmOS3IJ8FRVvdjVV3XbWwmsG6MfSdIMjbwSqKofJvmnwMPATzA48fvpLhAeB/YCN1RVJXkQuAB4BngBuLrbzN3AvUm2d2NXjP5SJEkzNc7hIKrqIeChododwB1DtX3ALd1Xv74XuGqcHiRJo/MnhiWpYYaAJDXMEJCkhhkCktQwQ0CSGmYISFLDDAFJapghIEkNMwQkqWGGgCQ1zBCQpIYZApLUsLEuICepLUtvXz9r29py53tnbVsanSsBSWqYISBJDTMEJKlhhoAkNcwQkKSGGQKS1DBDQJIaZghIUsMMAUlqmCEgSQ0zBCSpYYaAJDXMEJCkhhkCktSwsUIgyQlJnkhyT3f/1iTbkjyZ5LLevDuT7EjyWJJlXW1ekrVJdibZkOTs8V6KJGmmxl0JfATYApDkLcDNwLnA5cCaJMcnuQg4H1gK3Aas6R57DTAfWNzV7hqzF0nSDI0cAknOAf4m8EBXuhx4oKpeqqonGITDMmAFsLaqXqmqh4GpJIu6+j1VVcD9wMWjvwxJ0ihGCoEkAf41cGuvvATY2ru/Azh9mvrO4XpV7QH2JDn5AM93U5KNSTbu2rVrlJYlSdMYdSXwT4BvVNXTvdoJwL7e/X3AqyPUX6eqVlfV8qpaPjU1NWLLkqRho/6O4V8BFib5B8ApwBsYrAzO7M1ZDGwHnh2qn8FglbC/vjnJAmBeVe0esR9J0ghGWglU1Tur6q9V1XnAvwQeBL4KXJnkxO58wSnAo8B64NokxyW5BHiqql7s6qu6Ta4E1o3zQiRJMzfqSuB1qmpTkvuAx4G9wA1VVUkeBC4AngFeAK7uHnI3cG+S7d3YFbPViyTp8IwdAlW1Fljb3b4DuGNofB9wS/fVr+8Frhr3+SVJo/MnhiWpYYaAJDXMEJCkhs3aiWFJmpSlt6+fdAvHLFcCktQwQ0CSGmYISFLDDAFJapghIEkNMwQkqWGGgCQ1zBCQpIYZApLUMENAkhpmCEhSwwwBSWqYISBJDTMEJKlhhoAkNcwQkKSGGQKS1DB/s5ikifC3gc0NrgQkqWGGgCQ1zBCQpIYZApLUMENAkho2cggkmZ9kdZInk2xN8v6ufmuSbV39st78O5PsSPJYkmVdbV6StUl2JtmQ5OzxX5Ik6XCN8xHRNwB/CPxj4FTg8STfBm4GzgWWAI8kOQv4BeB8YCnwLmANcB5wDTAfWAzcANwFvG+MniRJMzDySqCqXqiqL9fAD4DtwN8BHqiql6rqCWALsAxYAaytqleq6mFgKsmirn5PVRVwP3DxmK9HkjQDs3JOIMk7GLyjPw3Y2hvaAZzOYFXQr+8crlfVHmBPkpNnoydJ0qGNHQJJTgN+F1gFnADs6w3vA14doT78HDcl2Zhk465du8ZtWZLUGSsEunftXwE+UlXfAp4FzuxNWczgMNFw/QwGq4TX6kkWAPOqavfw81TV6qpaXlXLp6amxmlZktQzzqeDTgL+APjNqnqoK68HrkxyYpJzgFOAR7v6tUmOS3IJ8FRVvdjVV3WPXQmsG7UfSdLMjfPpoFuAnwV+O8lvd7W/C9wHPA7sBW6oqkryIHAB8AzwAnB1N/9u4N4k27uxK8boR5I0QyOHQFV9AvjENEN3dF/9ufsYhMYtQ/W9wFWj9iBJGo8/MSxJDTMEJKlhhoAkNcwQkKSGGQKS1DBDQJIaZghIUsMMAUlqmCEgSQ0zBCSpYYaAJDXMEJCkhhkCktQwQ0CSGmYISFLDDAFJapghIEkNMwQkqWGGgCQ1bJxfNC/pCFl6+/pJt6BGuBKQpIYZApLUMA8HSbPEQzg6FrkSkKSGGQKS1DBDQJIa1tQ5gdk8ZrvlzvfO2rY0OR7HV+smvhJI8stJvp/k6STXT7ofSWrJRFcCSRYCnwZ+DngVeDTJV6pq1yT7kqRWTHolcCnwzaraWVXPAf8R+MUJ9yRJzZh0CCwBtvbu7wBOn1AvktScSZ8YPgHY17u/j8FhoR+T5Cbgpu7uy0mePEL9nAb84HAm5pNHqIPDd9i9Tph9zq5jpU84dno9JvrMJ8fq86wDDUw6BJ4FLuzdXwz8t+FJVbUaWH2km0mysaqWH+nnmQ3HSq/2ObuOlT7h2Om19T4nfTjoD4FLk7wpySLgncDXJtyTJDVjoiuBqno+yUeB/9qVPlBVP5xkT5LUkkkfDqKq1gJrJ9zGfkf8kNMsOlZ6tc/Zdaz0CcdOr033mao6EtuVJB0DJn1OQJI0QYaAJM0RSRYkedvRfM5mQyDJT3fXK9r/tSvJA0NzLkyyuzfn/RPq9WNJnu/18c6h8XlJ1ibZmWRDkrMn1OeVSR7rrgW1Pskbh8bnyv484PWqkrwjyf9IsjXJZ5JM5N9IkvlJVid5suvl/UPj+/++9+/LN0+iz66XLb0+/nhobK7sz9uH/r3vTfKe3vhE92eSk5KsA54HPtyr35pkW/d9cNk0j7sgyVPd9/NHR3ryqvJrcF7kfuCXhmoXAmvnQG8fA647yPj1wOeBADcC6ybU50rgJ7vba4CPzrX9CSwEtgNnAouA54Cp3vgfAZcBxwHfBN43oT5PBf5+93d6Wvefw5Le+Frgwknuy14vWw4yNif251BPbwSeAebNlf0J/CSDS+bcANzT1d4CPNV9z74d+HPg+N5jAnwP+OvAG7q55830uZtdCfQlORn4eeChSfcyohUMvnGKQZhdPIkmquq+qnq5u/sd4JRJ9HEIB7xeVZIp4OyqeqiqXmWwL989iSar6oWq+nIN/IBBcP3UJHoZ1Vzan0P+IfClqnpl0o3sV1UvV9XXgX5PlwMPVNVLVfUEsAVY1htfBjxfVd+twUfrv8QI+9cQGPgV4AvTfFMU8J4km5N8PsmbJtAbDC6l8fFuSfjJaZbUr12Dqar2AHu6YJuIrr+rgS8PDc2F/Xmw61UtBrYdYGxikrwDmA/8aa/8I+CzSR5P8oHJdPaav+z+TjckubRXn5P7E/hHwL8fqs2l/bnfoa6tNivXXmsqBJIs6x3z+1Rv6AZe/01BVX2zqt4E/FUGl7j4rUn0WVUfr6olDH6i+ucZHP7pO6xrMB3pPntDnwb+pKr+S3/+pPbnkIPtq4nsx4NJchrwu8CqbqUHQFXdWFVnMXjnd2OSiaz+ul7Oqaq3AB8C7k/yU93QXNyfy4C9VfVn/fpc2p89h9p/s7J/J/7DYkdTVW0C3tqvJfk54H9X1fcO8rgfJVkD3HeEW9z/fK/rs6u/0J28fsfQ0LMMjnFvTrKAwbHO3ZPoM8nHGBwGuu4gjzuq+3PIwa5XtX8/9se2H522Xq9bzX0F+EhVfWu6OVW1PclXGXxPPHI0+5umlz9OsgVYCjzKHNufnRsZnK+a1lzanxx6/83K/m1qJXAAB/ymSLK0++RNGBxH/O9HtbP/38dbuz9PZHCccLiP9cCq7vZKYN1Ra64nyT9ncDLrx9619sbnwv484PWqqmob8MPuU0zHMThM+MUJ9EiSk4A/AH6zql53rqr3PXEqg3ev04bEkZbkDUlO727/DQaHI74Hc2t/7u8V+CXggWnG5sT+HLIeuDLJiUnOYfDm6tHe+AbgZ5L8TPfaVgC/N+NnmdTZ8LnwxeCs+58DJw7V1jP4NMN1DI6zbQa+AJwyoT7/HYNjq08Dn2DwqYB+n/OBzzF4F/BNYNEEelzM4Jj/97s+nwY+OEf353VdD5sZhOrlwAe7sZ8FHuv25ccn+L35L4Af9vbl08AHen3+BwYnCp8Efm2CfU4x+FTKZuDbwLvm4v7serkeWNO7f/lc2Z/dv5OnGXwK7P90t98FfKT7N/U/gb/dzf014Kru9ru7/b8F+NVRntvLRkhSwzwcJEkNMwQkqWGGgCQ1zBCQpIYZApLUMENAkhpmCEhSwwwBSWqYISBJDft/pS8jdmZgyhwAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(df['qm2016'], bins = 16);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 缺失值\n",
    "\n",
    "CFPS小课堂 | 请不要问我，我“不知道”，我“拒绝回答”......\n",
    "- 问卷系统跳转造成的缺失，一般用“-8”（不适用）来表示\n",
    "- 不同问卷类型合并造成的缺失，一般在数据库中是用“.”来表示的。\n",
    "- 受访者原因造成的缺失，这种类型的缺失值在数据库中一般用“-2”（拒绝回答）和“-1”（不知道）来表示。\n",
    "\n",
    "\n",
    "http://www.isss.pku.edu.cn/cfps/cjwt/cfpsxkt/1295293.htm"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "QA001B\"年龄\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 人口统计变量"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       " 50.0     847\n",
       " 55.0     810\n",
       " 48.0     778\n",
       " 31.0     774\n",
       " 29.0     766\n",
       "         ... \n",
       " 98.0       4\n",
       " 99.0       3\n",
       "-8.0        2\n",
       " 102.0      1\n",
       " 100.0      1\n",
       "Name: age, Length: 94, dtype: int64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['age'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['retired'] = [1 if i ==1.0 else 0 for i in df['retire']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(df['age']);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYEAAAD6CAYAAABHy/uSAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/MnkTPAAAACXBIWXMAAAsTAAALEwEAmpwYAAAWFUlEQVR4nO3dfbBc9X3f8fenCCLhCIeH6xEg1WJMnGLcDo3UaeKSggkUY09mjDotDyVgUSDtkMIYP9S145oZO4w8jUOmDNNURkWewNjGdtDEVj0xdmM3fVBqYVMTaMCAhR4C9BraAlY0tbjf/rHn0uPlgnR3r7RX+b1fM3e0+/39ds93j1b67O/s7rmpKiRJbfork25AkjQ5hoAkNcwQkKSGGQKS1DBDQJIatmTSDczXSSedVKtXr550G5J0xLj//vt/WFVTc40dcSGwevVqtm/fPuk2JOmIkeTJVxvzcJAkNcwQkKSGGQKS1DBDQJIaZghIUsMMAUlqmCEgSQ0zBCSpYYaAJDXsiPvG8DhWf2jrRLa7Y8O7JrJdSToQVwKS1DBDQJIadtAhkGRZkjcfymYkSYfXAUMgyXFJtgDPAB8cGjshyTNJfqNX25Bkd5IHk6zpakuSbE6yJ8m2JKd19eVJvtLN/1qSExf00UmSXtPBrARmgNuAm+YY+xTwndkrSc4DzgZWd/M3dUNXAkuBlV3t1q7+AeChqloJfBv46LwfgSRpZAcMgap6saq+Aezv15P8clf7k155HbC5qvZX1X3AVJIVXf2OqirgbuD83vxPd5c/A7xjrh6SXJdke5Lt09PTB//oJEmvaaQ3hpMsAz4O/POhoVVA/5cX7AFO7terai+wN8nxDFYGO7u5u7u5r1BVG6tqbVWtnZqa85fjSJJGMOqng24Gbq+q54bqxzA4fDRrBnjpIOuzNUnSYTLql8UuBy5M8gFgBVBJfgA8BZzam3cKg1f4s/XHu1XEkqp6PsnT3ZydDFYFu0bsR5I0gpFWAlW1qqrOqqqzgN9lsCq4G9gKXJXkqCQXAI92q4WtwPru5lcAW7rLW4Gru8vrgS+M9CgkSSM54EogyXLgu8ByYGmSc4Frq+qP5ph+L3AO8ATwLIMVA8DtwJ1JdnVjl3T1jwGfTbIbuL83X5J0GBwwBKrqBeD01xi/uXd5Brih++nP2QdcNsdtnwMuPPh2JUkLydNGSFLDDAFJapghIEkNMwQkqWGGgCQ1zBCQpIYZApLUMENAkhpmCEhSwwwBSWqYISBJDTMEJKlhhoAkNcwQkKSGGQKS1DBDQJIaZghIUsMMAUlq2EGHQJJlSd58KJuRJB1eBwyBJMcl2QI8A3ywq52Y5PNJvp/k8SSX9uZvSLI7yYNJ1nS1JUk2J9mTZFuS07r68iRf6eZ/LcmJh+RRSpLmdDArgRngNuCmXm0K+DdV9bMMflH87yY5Osl5wNnA6m7+pm7+lcBSYGVXu7WrfwB4qKpWAt8GPjrWo5EkzcsBQ6CqXqyqbwD7e7U/q6pvdpcfA34MLAPWAZuran9V3QdMJVnR1e+oqgLuBs7v7mod8Onu8meAdyzIo5IkHZSx3xhOchHwnap6HlgFPNkb3gOc3K9X1V5gb5LjGawMdnZzd3dz59rGdUm2J9k+PT09bsuSpM5YIZDkdOBfAb/WlY5hcPho1gzw0kHWZ2uvUFUbq2ptVa2dmpoap2VJUs/IIZDkjcAXgSurakdXfgo4tTftFAav8F+uJ1kGLOlWDk93c2CwKtg1aj+SpPkbKQSSnAr8PnBtVX2nN7QVuCrJUUkuAB6tque6+vpuzhXAlt78q7vL64EvjNKPJGk0Sw40Icly4LvAcmBpknOBACcBn00yO/UtwL3AOcATwLPA5d3Y7cCdSXZ1Y5d09Y9197EbuL83X5J0GBwwBKrqBeD0edznDd1P/z72AZfNcd/PMfiIqSRpAjxthCQ1zBCQpIYZApLUMENAkhpmCEhSwwwBSWqYISBJDTMEJKlhhoAkNcwQkKSGGQKS1DBDQJIaZghIUsMMAUlqmCEgSQ0zBCSpYYaAJDXMEJCkhhkCktSwgw6BJMuSvPlQNiNJOrwOGAJJjkuyBXgG+GCvfmOSnUkeSXJRr74hye4kDyZZ09WWJNmcZE+SbUlO6+rLk3ylm/+1JCcu+COUJL2qg1kJzAC3ATfNFpK8CbgeOBO4GNiU5Ogk5wFnA6u7+Zu6m1wJLAVWdrVbu/oHgIeqaiXwbeCjYz4eSdI8HDAEqurFqvoGsL9Xvhi4p6peqKqHgR3AGmAdsLmq9lfVfcBUkhVd/Y6qKuBu4PzuftYBn+4ufwZ4xwI8JknSQRr1jeFVwJO967uBk+eo7xmuV9VeYG+S4xmsDHYO3ccrJLkuyfYk26enp0dsWZI0bNQQOIbBYaJZM8BLY9Zna69QVRuram1VrZ2amhqxZUnSsFFD4Cng1N71lcCuOeqnMHiF/3I9yTJgSVU9DzzdzenfhyTpMBk1BLYClyY5NskZwAnAA139qiRHJbkAeLSqnuvq67vbXgFs6d3P1d3l9cAXRuxHkjSCJQeakGQ58F1gObA0ybnAtcBdwEPAPuCaqqok9wLnAE8AzwKXd3dzO3Bnkl3d2CVd/WPAZ5PsBu7vzZckHQYHDIGqegE4fY6hPwJuGZo7A9zQ/fTr+4DL5rjv54AL59GvJGkBedoISWqYISBJDTMEJKlhhoAkNcwQkKSGGQKS1DBDQJIaZghIUsMMAUlqmCEgSQ074GkjJC1uqz+0dWLb3rHhXRPbthaGKwFJapghIEkNMwQkqWGGgCQ1zBCQpIYZApLUMENAkhpmCEhSwwwBSWrYWCGQ5KYk30/ygyTXd7Ubk+xM8kiSi3pzNyTZneTBJGu62pIkm5PsSbItyWnjPRxJ0nyMfNqIJKuBG4AzgaXAE0m+CVzf1VYBX0/yRuCXgLOB1cDbgU3AWcCV3W1XAtcAtwLvHrUnSdL8jLMS+HH35wyDMHkReCdwT1W9UFUPAzuANcA6YHNV7a+q+4CpJCu6+h1VVcDdwPlzbSjJdUm2J9k+PT09RsuSpL6RQ6Cq9gA3A9uArwOXMXhF/2Rv2m7gZAargn59z3C9qvYCe5McP8e2NlbV2qpaOzU1NWrLkqQh4xwOOg64HLgROA14P4P/3Gd602aAl4Bj5lmXJB0G4xwOugL4XlV9s6ru7GpPA6f25qwEdgFPDdVPYbBKeLmeZBmwpKqeH6MnSdI8jBMC+4CzkhydZDnwZgaHhS5NcmySM4ATgAeArcBVSY5KcgHwaFU919XXd/d3BbBljH4kSfM0zi+VuQs4D3gC+AvgM1X1n5PcBTzEICSuqapKci9wTjf3WQaHkQBuB+5Msqsbu2SMfiRJ8zRyCFTV/2Xw6n24fgtwy1BthsHHSW8Yqu9j8IayJGkC/MawJDXMEJCkhhkCktQwQ0CSGmYISFLDDAFJapghIEkNMwQkqWGGgCQ1zBCQpIYZApLUMENAkhpmCEhSwwwBSWqYISBJDTMEJKlhhoAkNcwQkKSGGQKS1LCxQiDJ65N8LsmeJI8nOSbJjUl2JnkkyUW9uRuS7E7yYJI1XW1Jks3d7bclOW3cByRJOnjjrgRuA/4UWAmcCawCru8uXwxsSnJ0kvOAs4HVwE3Apu72VwJLu9tvAm4dsx9J0jyMHAJJVgBvA26pgX0M/uO/p6peqKqHgR3AGmAdsLmq9lfVfcBUd/t1wB1VVcDdwPnjPRxJ0nyMsxI4E/gB8KXu0M9vMVgJPNmbsxs4eY76nuF6Ve0F9iY5fnhDSa5Lsj3J9unp6TFaliT1LRnjtm8A3gL8beB/AV8HVgDf682ZAV4CjukuH2z9J1TVRmAjwNq1a2uMniVJPeOEwP8E7q+q3QBJ7mPwH/ipvTkrgV3AU0P1UxisEmbrjydZBiypqufH6EmSNA/jHA7aBrwlySlJforB8fwXgUuTHJvkDOAE4AFgK3BVkqOSXAA8WlXPdfX13f1dAWwZox9J0jyNvBKoqh8l+WfAfcBPMXjj91NdIDwE7AOuqapKci9wDvAE8CxweXc3twN3JtnVjV0y+kORJM3XOIeDqKqvAl8dqt0C3DJUmwFu6H769X3AZeP0IEkand8YlqSGGQKS1DBDQJIaZghIUsMMAUlqmCEgSQ0zBCSpYYaAJDXMEJCkhhkCktQwQ0CSGmYISFLDxjqBnKS2rf7Q1olsd8eGd01ku38ZuRKQpIYZApLUMENAkhpmCEhSwwwBSWqYISBJDTMEJKlhY4VAkmOSPJzkju76jUl2JnkkyUW9eRuS7E7yYJI1XW1Jks1J9iTZluS08R6KJGm+xl0JfBjYAZDkTcD1wJnAxcCmJEcnOQ84G1gN3ARs6m57JbAUWNnVbh2zF0nSPI0cAknOAP4WcE9Xuhi4p6peqKqHGYTDGmAdsLmq9lfVfcBUkhVd/Y6qKuBu4PzRH4YkaRQjhUCSAP8auLFXXgU82bu+Gzh5jvqe4XpV7QX2Jjn+VbZ3XZLtSbZPT0+P0rIkaQ6jrgT+CfDNqnqsVzsGmOldnwFeGqH+ClW1sarWVtXaqampEVuWJA0b9QRyvwosT/IPgBOA1zFYGZzam7MS2AU8NVQ/hcEqYbb+eJJlwJKqen7EfiRJIxhpJVBVb6uqv15VZwH/ErgX+ApwaZJju/cLTgAeALYCVyU5KskFwKNV9VxXX9/d5RXAlnEeiCRp/hbsVNJVdX+Su4CHgH3ANVVVSe4FzgGeAJ4FLu9ucjtwZ5Jd3dglC9WLJOngjB0CVbUZ2NxdvgW4ZWh8Brih++nX9wGXjbt9SdLo/MawJDXMEJCkhhkCktQwQ0CSGmYISFLDDAFJapghIEkNMwQkqWGGgCQ1zBCQpIYt2LmDpMVi9Ye2TmS7Oza8ayLblcbhSkCSGmYISFLDDAFJapghIEkNMwQkqWGGgCQ1zBCQpIYZApLUMENAkho2cggkWZpkY5JHkjyZ5L1d/cYkO7v6Rb35G5LsTvJgkjVdbUmSzUn2JNmW5LTxH5Ik6WCNc9qI1wF/CPwacCLwUJLvANcDZwKrgK8neSPwS8DZwGrg7cAm4CzgSmApsBK4BrgVePcYPUmS5mHklUBVPVtVX6qBHwK7gL8L3FNVL1TVw8AOYA2wDthcVfur6j5gKsmKrn5HVRVwN3D+XNtKcl2S7Um2T09Pj9qyJGnIgrwnkOStDF7RnwQ82RvaDZzMYFXQr+8ZrlfVXmBvkuOH77+qNlbV2qpaOzU1tRAtS5JYgBBIchLwe8B64Bhgpjc8A7w0Ql2SdBiMFQLdq/YvAx+uqm8DTwGn9qasZHCYaLh+CoNVwsv1JMuAJVX1/Dg9SZIO3jifDjoO+APgN6vqq115K3BpkmOTnAGcADzQ1a9KclSSC4BHq+q5rr6+u+0VwJZR+5Ekzd84nw66Afh54HeS/E5X+3vAXcBDwD7gmqqqJPcC5wBPAM8Cl3fzbwfuTLKrG7tkjH4kSfM0cghU1SeAT8wxdEv30587wyA0bhiq7wMuG7UHSdJ4/MawJDXM3zEs6Ygzqd8jDX/5fpe0KwFJapghIEkNMwQkqWGGgCQ1zBCQpIYZApLUMENAkhpmCEhSwwwBSWqY3xiWpHmY1LeVD9U3lV0JSFLDDAFJapghIEkNMwQkqWGGgCQ1zBCQpIYZApLUsImHQJJ/mOQHSR5LcvWk+5Gklkz0y2JJlgOfAn4BeAl4IMmXq2p6kn1JUismvRK4EPhWVe2pqqeB/wD88oR7kqRmTPq0EauAJ3vXdwMnD09Kch1wXXf1xSSPHKJ+TgJ+uNB3mk8u9D0Ch6jXQ6CZPg/R3/OwI2V/wpHT6xHRZz45Vp9vfLWBSYfAMcBM7/oMg8NCP6GqNgIbD3UzSbZX1dpDvZ2FcKT0ap8L60jpE46cXlvvc9KHg54CTu1dXwnsmlAvktScSYfAHwIXJnlDkhXA24CvTbgnSWrGRA8HVdUzST4C/Neu9L6q+tEEWzrkh5wW0JHSq30urCOlTzhyem26z1TVobhfSdIRYNKHgyRJE2QISFLDDAFJWiSSLEvy5sO5zWZDIMnPducrmv2ZTnLP0Jxzkzzfm/PeCfV6c5Jnen28bWh8SZLNSfYk2ZbktAn1eWmSB7tzQW1N8vqh8cWyP1/1fFVJ3prkvyd5MsltSSbybyTJ0iQbkzzS9fLeofHZv+/ZfflXJ9Fn18uOXh9/PDS2WPbnh4b+ve9L8s7e+ET3Z5LjkmwBngE+2KvfmGRn9zy4aI7bnZPk0e75/JGRNl5V/gzeHL8b+JWh2rnA5kXQ283Ae15j/Grgc0CAa4EtE+rzCuCnu8ubgI8stv0JLGfwXZRTgRXA08BUb/w/AhcBRwHfAt49oT5PBP5+93d6Uvefw6re+Gbg3Enuy14vO15jbFHsz6GeXg88ASxZLPsT+GkGp8y5Brijq70JeLR7zr4F+HPg6N5tAnwf+BvA67q5Z813282uBPqSHA/8IvDVSfcyonUMnjjFIMzOn0QTVXVXVb3YXf0ucMIk+jiAVz1fVZIp4LSq+mpVvcRgX75jEk1W1bNV9aUa+CGD4PqZSfQyqsW0P4f8I+CLVbV/0o3MqqoXq+obQL+ni4F7quqFqnoY2AGs6Y2vAZ6pqu/V4KP1X2SE/WsIDPwq8Pk5nhQFvDPJ40k+l+QNE+gNBqfS+Hi3JPzkHEvql8/BVFV7gb1dsE1E19/lwJeGhhbD/nyt81WtBHa+ytjEJHkrsBT40175x8BnkjyU5H2T6exlf9H9nW5LcmGvvij3J/CPgX83VFtM+3PWgc6tdlDnXjuQpkIgyZreMb/f6g1dwyufFFTVt6rqDcBfY3CKi9+eRJ9V9fGqWsXgG9W/yODwT99BnYPpUPfZG/oU8J+q6r/0509qfw55rX01kf34WpKcBPwesL5b6QFQVddW1RsZvPK7NslEVn9dL2dU1ZuADwB3J/mZbmgx7s81wL6q+rN+fTHtz54D7b8F2b+TPoHcYVVV9wOn92tJfgH431X1/de43Y+TbALuOsQtzm7vFX129We7N6/fOjQ0ew6mx5MsY3Cs8/lJ9JnkZgaHgd7zGrc7rPtzyFMM3puYtRL4k97YojmXVbea+zLw4ar69lxzqmpXkq8weE58/XD2N0cvf5xkB7AaeIBFtj871zJ4v2pOi2l/cuD9tyD7t6mVwKt41SdFktXdJ2/C4Djifzusnf3/Pk7v/jyWwXHC4T62Auu7y1cAWw5bcz1J/gWDN7N+4lVrb3wx7M9XPV9VVe0EftR9iukoBocJvzCBHklyHPAHwG9W1Sveq+o9J05k8Op1zpA41JK8LsnJ3eW/yeBwxPdhce3P2V6BXwHumWNsUezPIVuBS5Mcm+QMBi+uHuiNbwN+LsnPdY9tHfD7897KpN4NXww/DN51/3Pg2KHaVgafZngPg+NsjwOfB06YUJ//lsGx1ceATzD4VEC/z6XAZxm8CvgWsGICPa5kcMz/B12fjwHvX6T78z1dD48zCNWLgfd3Yz8PPNjty49P8Ln5G8CPevvyMeB9vT7/PYM3Ch8Bfn2CfU4x+FTK48B3gLcvxv3Z9XI1sKl3/eLFsj+7fyePMfgU2P/pLr8d+HD3b+p/AH+nm/vrwGXd5Xd0+38H8E9H2bbnDpKkhnk4SJIaZghIUsMMAUlqmCEgSQ0zBCSpYYaAJDXMEJCkhhkCktSw/wc9Y8BsqTXGVgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(df['edu_updated']);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(df['cfps2018eduy']);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(np.log(df['income']+1));"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5.0    16550\n",
       "1.0    16547\n",
       "Name: qa002, dtype: int64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 性别  1 男 5女\n",
    "df['qa002'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['male'] = [1 if i == 1.0 else 0 for i in df['qa002']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-8.0     14462\n",
       " 4.0      5273\n",
       " 3.0      3598\n",
       " 5.0      3058\n",
       " 0.0      2848\n",
       " 6.0      1648\n",
       " 7.0      1335\n",
       " 10.0      756\n",
       " 8.0       112\n",
       " 9.0         7\n",
       "Name: edu_updated, dtype: int64"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 性别  1 男 5女\n",
    "df['edu_updated'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "45.0"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['edu_updated']==-8.0]['age'].min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(x=\"male\", y=\"qm2016\", data=df);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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XNY60ojny78tpwEVVNVtV3wa+ADy7cSYJgKq6o6ouAHa2ztIDy78vx3H/+yPdDDymURZJDVn+fTkC2L1kezfz0z+SOmP59+UWYP2S7ccCNzXKIqkhy78v5wOnJXl0kmOBU4HPNs4kqYGmH+Cu8aqqHUneAnxpYdcZVXVny0zSooXVaJcCa4BVSZ4FnF5VF7bMtVK51FOSOuS0jyR1yPKXpA5Z/pLUIctfkjpk+UtShyx/SeqQ5S8dZEk2JplpnUPaF8tfkjpk+UtShyx/6QEsTN9cm+T9SW5J8oEkv5Xk6iRXJHl8kpcmuSrJjUn+fC/PcUiSdyW5Msl/JDm1xX+LtCfLX9q3jcA24ATg14BTq+ok4F+AzcD1wE8BJwEvSrJxj59/BbCrqp4IvAR4/zhCS/vjjd2kfZutqksBknwD+MTC/q8CLwBmgTOAJwNHMX/L7NklP/884OlJfnVh+xHjCC3tjyN/ad/uWfL9LuDuhe93AkcC/wZcx/wfgG8C2ePnDwN+r6qesPDlJ6dpWbD8pQdvLfO3H/40sAp4yl6OuRg4PclhSQ5P8nNjzCc9IMtfevBuBT7G/Lz/u4DL93LM+4D/WzjmcuDxY0sn7YP385ekDjnyl6QOWf6S1CHLX5I6ZPlLUocsf0nqkOUvSR2y/CWpQ5a/JHXo/wECuO19CIoRwwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['Income'] = np.log(df['income']+10)\n",
    "sns.boxplot(x=\"male\", y=\"Income\",  data=df);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lineplot(y = 'qm2016', x = 'age',  hue = 'male', data = df);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lineplot(y = 'qm2016', x = 'cfps2018eduy',  hue = 'male', data = df);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lineplot(y = 'qm2016', x = 'edu_updated', hue = 'male', data = df);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-8.0        21502\n",
       " 1000.0      1261\n",
       " 2000.0      1176\n",
       " 3000.0       895\n",
       " 5000.0       801\n",
       "            ...  \n",
       " 1740.0         1\n",
       " 26400.0        1\n",
       " 41000.0        1\n",
       " 92000.0        1\n",
       " 680.0          1\n",
       "Name: qu7051, Length: 265, dtype: int64"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['qu7051'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-8.0    15603\n",
       " 7.0     5899\n",
       " 4.0     2980\n",
       " 3.0     2616\n",
       " 1.0     1681\n",
       " 5.0     1531\n",
       " 2.0     1416\n",
       " 6.0     1367\n",
       "-1.0        3\n",
       "-2.0        1\n",
       "Name: qu705, dtype: int64"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['qu705'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-8.0    21274\n",
       " 7.0     5556\n",
       " 1.0     4160\n",
       " 2.0      723\n",
       " 3.0      688\n",
       " 4.0      338\n",
       " 5.0      199\n",
       " 6.0      156\n",
       "-1.0        2\n",
       "-2.0        1\n",
       "Name: qu702, dtype: int64"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['qu702'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       " 0.0     16198\n",
       " 7.0      8171\n",
       " 3.0      2333\n",
       " 2.0      2311\n",
       " 5.0      1094\n",
       " 1.0       975\n",
       " 4.0       915\n",
       "-8.0       386\n",
       " 6.0       281\n",
       " 14.0      195\n",
       " 10.0       84\n",
       " 21.0       29\n",
       "-1.0        25\n",
       " 8.0        21\n",
       " 20.0       15\n",
       " 15.0       14\n",
       " 28.0        9\n",
       " 12.0        8\n",
       " 13.0        6\n",
       " 35.0        5\n",
       " 11.0        4\n",
       " 9.0         4\n",
       " 25.0        3\n",
       " 50.0        3\n",
       "-2.0         2\n",
       " 22.0        2\n",
       " 33.0        1\n",
       " 30.0        1\n",
       " 19.0        1\n",
       " 26.0        1\n",
       "Name: qp701, dtype: int64"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 锻炼身体的频率(次)\"\n",
    "df['qp701'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-8.0     16611\n",
       " 7.0      2984\n",
       " 2.0      1696\n",
       " 3.0      1438\n",
       " 14.0     1397\n",
       "         ...  \n",
       " 33.0        1\n",
       " 66.5        1\n",
       " 4.3         1\n",
       " 3.6         1\n",
       " 23.0        1\n",
       "Name: qp702, Length: 117, dtype: int64"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['qp702'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 认知水平"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-8.0     7129\n",
       " 0.0     3161\n",
       " 22.0    1814\n",
       " 21.0    1526\n",
       " 28.0    1400\n",
       " 31.0    1283\n",
       " 26.0    1195\n",
       " 30.0    1192\n",
       " 24.0    1031\n",
       " 25.0     997\n",
       " 27.0     958\n",
       " 19.0     907\n",
       " 29.0     885\n",
       " 23.0     846\n",
       " 32.0     811\n",
       " 12.0     634\n",
       " 17.0     619\n",
       " 18.0     580\n",
       " 33.0     556\n",
       " 20.0     497\n",
       " 13.0     468\n",
       " 16.0     447\n",
       " 4.0      415\n",
       " 11.0     410\n",
       " 10.0     370\n",
       " 6.0      348\n",
       " 7.0      330\n",
       " 34.0     329\n",
       " 1.0      328\n",
       " 5.0      316\n",
       " 9.0      296\n",
       " 15.0     264\n",
       " 3.0      246\n",
       " 14.0     206\n",
       " 8.0      191\n",
       " 2.0      112\n",
       "Name: wordtest18_sc2, dtype: int64"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 'wordtest18', 'wordtest18_sc2'\n",
    "df['wordtest18_sc2'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-8.0     7126\n",
       " 9.0     3011\n",
       " 8.0     2957\n",
       " 0.0     2652\n",
       " 7.0     2246\n",
       " 10.0    2222\n",
       " 4.0     1502\n",
       " 15.0    1480\n",
       " 5.0     1432\n",
       " 6.0     1063\n",
       " 11.0     937\n",
       " 1.0      913\n",
       " 3.0      881\n",
       " 14.0     875\n",
       " 17.0     630\n",
       " 18.0     539\n",
       " 16.0     450\n",
       " 12.0     424\n",
       " 23.0     362\n",
       " 24.0     348\n",
       " 2.0      318\n",
       " 19.0     302\n",
       " 13.0     245\n",
       " 20.0      82\n",
       " 22.0      71\n",
       " 21.0      29\n",
       "Name: mathtest18_sc2, dtype: int64"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 'wordtest18', 'wordtest18_sc2'\n",
    "df['mathtest18_sc2'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## CES-D量表 个人的抑郁水平\n",
    "\n",
    "采用Center for Epidemiologic Studies Depression Scale (CES-D)量表来测试个人的抑郁水平。\n",
    "\n",
    "'cesd20sc', 'cesd8'\n",
    "\n",
    "- 我们建议用户如果只需要使用 CFPS2016 或者和 CFPS2018 年的数据时，采用 8 道题版本的总分，\n",
    "- 但是如果用户需要同时使用 CFPS2012的数据进行分析时，采用 CESD20sc。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10.0    3535\n",
       "12.0    3439\n",
       "11.0    3359\n",
       "13.0    3046\n",
       "14.0    2993\n",
       "15.0    2537\n",
       "8.0     2517\n",
       "9.0     2406\n",
       "16.0    2136\n",
       "17.0    1851\n",
       "18.0    1446\n",
       "19.0     859\n",
       "20.0     649\n",
       "21.0     488\n",
       "22.0     382\n",
       "23.0     278\n",
       "24.0     197\n",
       "26.0     132\n",
       "25.0     128\n",
       "27.0      75\n",
       "28.0      45\n",
       "29.0      32\n",
       "31.0      25\n",
       "30.0      24\n",
       "32.0      19\n",
       "Name: cesd8, dtype: int64"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['cesd8'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(df['cesd8']);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(np.log(df['cesd8']));"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 大五人格\n",
    "\n",
    "大五人格（ocean），也被称之为人格的海洋，可以通过neo-pi-r评定。\n",
    " \n",
    "·外倾性（extraversion）：好交际对不好交际，爱娱乐对严肃，感情丰富对含蓄;表现出热情、社交、果断、活跃、冒险、乐观等特点。\n",
    "\n",
    "·神经质或情绪稳定性（neuroticism）:烦恼对平静，不安全感对安全感，自怜对自我满意，包括焦虑、敌对、压抑、自我意识、冲动、脆弱等特质。\n",
    "\n",
    "·开放性（openness）: 富于想象对务实，寻求变化对遵守惯例，自主对顺从。具有想象、审美、情感丰富、求异、创造、智慧等特征。\n",
    "\n",
    "·随和性(agreeableness)：热心对无情，信赖对怀疑，乐于助人对不合作。包括信任、利他、直率、谦虚、移情等品质。\n",
    "\n",
    "·尽责性(conscientiousness)：有序对无序，谨慎细心对粗心大意，自律对意志薄弱。包括胜任、公正、条理、尽职、成就、自律、谨慎、克制等特点。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['qm201',\n",
       " 'qm202',\n",
       " 'qm203',\n",
       " 'qm204',\n",
       " 'qm205',\n",
       " 'qm206',\n",
       " 'qm207',\n",
       " 'qm208',\n",
       " 'qm209',\n",
       " 'qm210',\n",
       " 'qm211',\n",
       " 'qm212',\n",
       " 'qm213',\n",
       " 'qm214',\n",
       " 'qm215']"
      ]
     },
     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "['qm'+ str(i) for i in  range(201, 216)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [],
   "source": [
    "bigfive_o = ['qm'+ str(i) for i in  [204, 209, 214]]\n",
    "bigfive_c = ['qm'+ str(i) for i in  [201, 207, 211]]\n",
    "bigfive_e = ['qm'+ str(i) for i in  [202, 208, 212]]\n",
    "bigfive_a = ['qm'+ str(i) for i in  [203, 206, 213]]\n",
    "bigfive_n = ['qm'+ str(i) for i in  [205, 210, 215]]\n",
    "\n",
    "\n",
    "df['bigfive_o'] = df[bigfive_o].sum(axis=1)/3\n",
    "df['bigfive_c'] = df[bigfive_c].sum(axis=1)/3\n",
    "df['bigfive_e'] = df[bigfive_e].sum(axis=1)/3\n",
    "df['bigfive_a'] = df[bigfive_a].sum(axis=1)/3\n",
    "df['bigfive_n'] = df[bigfive_n].sum(axis=1)/3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       " 3.333333    5237\n",
       " 4.000000    4983\n",
       " 0.000000    4276\n",
       " 2.666667    4270\n",
       " 3.000000    3353\n",
       " 2.000000    2879\n",
       "-8.000000    2843\n",
       " 3.666667    2461\n",
       " 2.333333    2049\n",
       " 4.333333    1473\n",
       " 1.666667     912\n",
       " 4.666667     797\n",
       " 5.000000     715\n",
       " 1.333333     544\n",
       " 1.000000     427\n",
       " 0.666667      40\n",
       "-1.000000      39\n",
       " 0.333333      27\n",
       "-0.333333      13\n",
       "-4.666667       4\n",
       "-0.666667       2\n",
       "-3.666667       2\n",
       "-2.000000       2\n",
       "-4.333333       2\n",
       "-1.333333       2\n",
       "-1.666667       1\n",
       "-4.000000       1\n",
       "Name: bigfive_o, dtype: int64"
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['bigfive_o'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(df['bigfive_o']);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       " 4.0    18000\n",
       " 5.0     8202\n",
       "-8.0     2838\n",
       " 3.0     2179\n",
       " 2.0     1683\n",
       " 1.0      183\n",
       "-1.0       11\n",
       "-2.0        1\n",
       "Name: qm201, dtype: int64"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['qm201'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 描述性分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lineplot(y = 'qp701', x = 'bigfive_o',  hue = 'male', data = df);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lineplot(y = 'qp701', x = 'cesd8',  hue = 'male', data = df);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lineplot(y = 'qp701', x = 'cesd8',  hue = 'male', data = df);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lineplot(y = 'qp701', x = 'wordtest18_sc2',  hue = 'male', data = df);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lineplot(y = 'qp701', x = 'mathtest18_sc2',  hue = 'male', data = df);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lineplot(y = 'qp701', x = 'age',  hue = 'male', data = df);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lineplot(y = 'qp702', x = 'age',  hue = 'male', data = df);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       " 3.0    14345\n",
       " 2.0    13994\n",
       " 1.0     1601\n",
       " 5.0     1298\n",
       " 4.0     1261\n",
       "-8.0      312\n",
       "-1.0      284\n",
       "-2.0        2\n",
       "Name: wv101, dtype: int64"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# WV101\"经济繁荣要拉大收入差距\"为了经济繁荣就要拉大收入差距。\n",
    "# 1. 十分不同意 2.不同意 3.同意 4.十分同意 5.既不同意也不反对【不读出】\n",
    "df['wv101'].value_counts()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 价值观\n",
    "- WV101\"经济繁荣要拉大收入差距\"为了经济繁荣就要拉大收入差距。\n",
    "- WV102\"公平竞争才有和谐人际\"\n",
    "- V103财富反映个人成就\n",
    "- V104 \"努力工作能有回报\n",
    "- V105聪明才干能得回报\n",
    "- V106 成大事难免腐败\n",
    "- V107有关系比有能力重要\n",
    "- V108  \"提高生活水平机会很大\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['wv101'] = df['wv101'].replace([3.0, 4.0, 5.0], [4.0, 5.0, 3.0])\n",
    "df['wv102'] = df['wv102'].replace([3.0, 4.0, 5.0], [4.0, 5.0, 3.0])\n",
    "df['wv103'] = df['wv103'].replace([3.0, 4.0, 5.0], [4.0, 5.0, 3.0])\n",
    "df['wv104'] = df['wv104'].replace([3.0, 4.0, 5.0], [4.0, 5.0, 3.0])\n",
    "df['wv105'] = df['wv105'].replace([3.0, 4.0, 5.0], [4.0, 5.0, 3.0])\n",
    "df['wv106'] = df['wv106'].replace([3.0, 4.0, 5.0], [4.0, 5.0, 3.0])\n",
    "df['wv107'] = df['wv107'].replace([3.0, 4.0, 5.0], [4.0, 5.0, 3.0])\n",
    "df['wv108'] = df['wv108'].replace([3.0, 4.0, 5.0], [4.0, 5.0, 3.0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       " 4.0    14345\n",
       " 2.0    13994\n",
       " 1.0     1601\n",
       " 3.0     1298\n",
       " 5.0     1261\n",
       "-8.0      312\n",
       "-1.0      284\n",
       "-2.0        2\n",
       "Name: wv101, dtype: int64"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# WV101\"经济繁荣要拉大收入差距\"为了经济繁荣就要拉大收入差距。\n",
    "df['wv101'].value_counts()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       " 4.0    23152\n",
       " 5.0     4605\n",
       " 2.0     3616\n",
       " 3.0      842\n",
       " 1.0      366\n",
       "-8.0      295\n",
       "-1.0      219\n",
       "-2.0        2\n",
       "Name: wv102, dtype: int64"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['wv102'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       " 4.0    23264\n",
       " 2.0     4759\n",
       " 5.0     3296\n",
       " 3.0     1084\n",
       "-8.0      310\n",
       " 1.0      306\n",
       "-1.0       77\n",
       "-2.0        1\n",
       "Name: wv108, dtype: int64"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['wv108'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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ee92A507Ef3+RySrqwW9m6cATwPvwWnF/1zn3nUgcK5Bk/OCjS3huWzVrNldq3vFEaaoefn9SCiy8feCQzLS53pz5cXwo2tnTy4ZdJ1i9uZLXD9QxeNG4uQUZrFpexh1LSynMShuwT//9Rc7kxxl/BrAO+L+AfGCnmf3COTf8FJxx0rzjCMgp8a6AHUrJMvi7fz/nw+w93szqzZX8alsVDW0Dl9qbkhLgby+dwarlZZSflzfkLBv99xc5U9SD3zlXD/wy9LDOzCqBXCAiwT9Z3fPvf6GqoZ3SvCk8+/cxNltoyT1e24OhLL1n3G/d0tnD2u3vsnpzJW9VNp6x/7LSHFYtn8WKy2aQlR4TC+iJTDq+jvGb2cV4wz1/HbT9fuB+gFmzZvlQmf+qGto5XDd0DxhfLf6oN3vnbB/wLljhLRY9Bs45thxtYPXmSn6z4xjt3QNbJuROTeFDi0tYtbyMBTOyz6VyEcHH4DezAuBZ4OPODRy1dc49BTwFUF5ePnJrQomupIDX4GzHz+j89T+RRhedpJJ2+3e80B9l18u6lk6e21rF6s2VHKw985fc1fMLWLW8jJsWFpOeoovjRCaKL8FvZnnAWuBh59zmkZ4vMSiQDEs+Rs0Lj1Lm3qXGCihbMvJC1r1Bx2v7alm9uZLf7z5BT3Dg7/UZOenctayUu8rLKJt2rn0tReRs/JjVkw28ADzqnPtdtI8v/qg82caaikp+saWKY4MuqksJGDcuKGbV8jKuOb9Qs21EIsyPM/7PAEuB75rZd0PbbnbOHfKhlnPW3t5OZWUlF1xwgd+lxJyO7l7W7TzOmopK/njgzIW45xdlcvfyMj68pIT8zLSzvIOIRIIfs3q+Dnw92sedaKdOneLee+/llVdeYeXKlTz99NN+lxRVfescLA8GwaAnGGTN5kruXFbK3uPNrKmo5FfbqmlqHzgNc2pqgA9eOoNVy2exdFau1mQV8UFcX7kLRGzpvaSkJD796U/zwQ9+kDfeeGMCC4594escvJIKmNf47MFf7uDrL+7iVEfPGa9ZMiuXu5eX8beXziRzDC2LRWTixfe/wPEsvTdKmZmZ3HDDDTzzzDMTUemkMtw6B+GhPy0jlQ8v8aZhXlCcFa3yRGQE8R38IzUT2/EzGMVMFBlopHUOstOT+cadl3LjguJhF+8WEX/E97/KkZqJbR1hv5yhs6eXfceb+x9XuUIOBadT5U6vNZyZlszfXDJDoS8So+L7jH+kZmJNw/SbkTO8sucEX1u7i+bO08M593Y/dMbzzmWdAxGJvPgO/pGaieWoLe9oHKlr5Wu/2cUre0a39OG5rHMgIpEX38EfwWZizc3NLFmyhObmZjo6Oti4cSM//vGPef/73z/u94w1rZ09/I8/HODpTYfp6g32b/+bi6fT2tnLq/trz3iN+tyLxL74Dv4JbiYWLisriwMHDpxDcbHLOcfaHcd47MXdHD91+irbC4ozeWTFIq6cX+DN499WzVee/yudPUHSkpP4tw9drD73IpNAfAd/WDMxtj7rjennlHpn+mNoJpZIdh87xSMv7OQvh0/2b8tKT+afbryAe644j5TQQuR9fe6f3HiQw3Wt3gIn6nkvMinEd/BDfzMxTdscXmNbF9/ZsI9n3zhKeN+0leWlPPiBiyhQSwWRuBH/wS/D6g06Vm+u5Fvr9gxY5eqy0hz+9faLWVyW619xIhIRkzb4nXMx3efFDV4YNgZtOdrAIy/s5O3qpv5t+RmpfOkDF/F3y0pJGsVYfWnelAFfRST2TcrgT09Pp76+nvz8/JgMf+cc9fX1pKen+13KWdU0d/CN3+3hua2nr3MIJBn/9YrZfPbG88mZMvolDWNuWUgRGdGkDP7S0lKqqqqorT1zOmGsSE9Pp7Q0tqY1dvcGeeaPR/jey/tpCbsI68p5+Txy2yL10xFJEJMy+FNSUpgzZ47fZUwqm/bX8sgLOwcscTgzJ51/+eBCbr14ekz+5SQikTEpg19Gr/JkG19/cRfrdp7o35aanMQ/XDuXf7xuPlNSNaVVJNEo+ONUR3cvT248yA9fPUhnz+mrbm9aWMxX/nYhs/K1nq1IolLwxxnnHOt2HufffrOb6sb2/u1zCzL46oqFXHdhkY/ViUgsUPDHkQM1zTzywi5eP1DXvy0jNcBnbjifj181R22SRQRQ8MeFUx3dPPH7/TzzpyP0hF12++ElJXz51osozo7NaaUi4g8F/yQWDDp+ubWKb760l7qWzv7tC2dk87XbF1E+e5qP1YlIrFLwT1I7qhr5f17YybZ3Gvu35U5N4Ys3X8hHLp+lDpkiMiQF/yRT39LJt9btZXVFJX1dIZIMPvqeWXzhpgvJy0j1t0ARiXkK/kmipzfIT944yv+3YR+nOk5fdbt8dh6P3LaIRTNzfKxORCYTBX+M6ekN8tzWat4NTcV8t7Gd//e3u9m4r5a9YYucF2Wl8fDfLOD2xTN11a2IjIkvwW9mK4FvAr3AY865/+VHHbGmpzfIp/5zGy/tPN6/rbMnyI9eO9T/OCVgfOLqOXz6+vPJTNPvbREZu6gnh5llAY8D78UL/rfMbK1zLnY7rkXJc1urB4T+YBcWZ/E/P7aUeYWZUaxKROKNH1f03AK86pyrds4dB14BbvChjpizuqJy2P2ZaQGFvoicMz+Cvww4Gva4CpgR/gQzu9/MKsysIpZbL0+0Y2EtFs66v6lj2P0iIqPhR/CnAsGwx0G8IZ9+zrmnnHPlzrnywsLCqBbnpxm5w69iNXOE/SIio+FH8B8DSsIelwLDj3EkiFXlZcPuX7l8+P0iIqPhR/CvA24xsyIzmw5cCaz3oY6Yc+eyUi6emX3WfR9YNJ07l8bWil4iMjlFfVaPc+6Emf0z8OfQpi8451qHe02iCCQZRdnp8O6p/m1pyUn824cu5s6lpWrDICITwpeJ4M65Z4Bn/Dh2LGvt7OlvqZwSMLp7HTNzp7ByhCEgEZGxUIP2GLJpfy1dodWyMlJ1cZaIRIaCP4asD1sXd2qa1sIVkchQ8MeI7t4gL++pAWBmTjqpAf2nEZHIULrEiM1HTtLU3g14C6Kr8ZqIRIqCP0aED/PcvGi6j5WISLxT8McA5xwbdnnBn52ezOVztGSiiESOgj8G7Hz3FNWhPj03LCgmReP7IhJBSpgYsH5X2DDPwmIfKxGRRKDgjwF9wzypyUlce0HiNKUTEX8o+H1WebKN3ce8Fg1Xzy8gQ6tqiUiEKfh9pmEeEYk2Bb/P1oeWWjTzPtgVEYk0Bb+PTrZ2sfnISQCWzcqjMCvN54pEJBEo+H30yp4ags67f5OGeUQkShT8Puob5gFdrSsi0aPg90l7Vy+v7fcWkj+/KJM5BRk+VyQiiWLcwW9m8yaykESzaX8tHd1e7/2bF2mYR0Si51zO+H83YVUkoIHTODXMIyLRM+TVQmY2G/joULuBvEgUlAh6eoO8vNsL/uLsNC4pyfG5IhFJJMOd8Z8E/hlIOcstGS/8ZRy2HG2goe107/0kLaIuIlE05Bm/c+6Umb0OvOSc+8vg/Wb2sYhWFsc0zCMifhqpMcz9QOcQ+1ZMcC0JwTnH+l3eNM6stGTeOzff54pEJNEMG/zOuaNmlm9mK4EZQC9QCax3zu2JRoHxZs/xZipPer33339REanJmlErItE1bOqY2ceBvwK3ATOBEuDvgLfN7LbIlxd/wpdY1NW6IuKHkYZ6HgIWO+dOhG80s+nAJuCFSBUWrzbs9oZ5UgLGdReq976IRN9I4wxDzd7pGWL7iMzsbjN728wOm9mLZpYwcxmrG9v5a7XXe//KeQVkpaf4XJGIJKKRzvi/DLxpZhuBo0AQKAVuxpvqOd5jXuGcazGzfwc+BTw6zveaVDYM6M2jYR4R8cewZ/zOuTXAQuDXQD3QCmwEljnn/s94Duic+4lzriX0cBswbfBzzOx+M6sws4ra2trxHCYmhU/jvEm990XEJyOu8xcK6V8O3m5mH3XO/ed4D2xmSXhXBn/xLMd8CngKoLy83I33GLGksa2Lvxz2eu8vmZVLUXb6sM8vzZsy4KuIyEQ5lwVeHwFGDH4zWwasDj183jnXF/SPA6875/50DjVMGn/YW0NvqPn+aGbzPPv374l0SSKSoIbr1bMA+N5Qu/Gmd47IObcFmD/ovR/BG+K5bzTvEQ/Cp3Hqal0R8dNwZ/z7gSXAf+HMq3cNeHY8BzSzh4B5wH91zsXFMM5IOrp7eXWf91nF3MIM5hdl+lyRiCSy4Xr19JjZS0DAOffq4P1mVjPWg5lZKfAYcATYZ2YAP3TOfXus7zWZ/PFAHW1dvYDO9kXEfyO1bLhnmH3Lxnow51wVCdjVc8Awj6ZxiojPRtUoxsyOmNk3zOySSBcUb3qDjpf3eMFfmJXG4tJcfwsSkYQ32g5hlwOHgcfNbIuZPWhmZRGsK25se6eBupYuAG5coN77IuK/UQW/c67GOfcj59zNwEeAa4BDEa0sTgzova9hHhGJAaMd6pljZp8zs1eBF4FdgCaaj8A5x7pQm4aM1ABXzlPvfRHx32gv4Poj0A58zDn35wjWE1f217RwtL4NgOsuKiItOeBzRSIiow/+jwNXAV83swy8XwTrnXPrIlZZHNgwYIlFDfOISGwYVfCHAn6dmRUCNwGfBj4B5EWwtklvfWiYJznJuO7CIp+rERHxjCr4zewJYBlwCvgD8FmgIoJ1TXrHmtrZXtUEwBXz8smZot77IhIbRjud0wHdQAvQAJxwzgUjVlUc+L2GeUQkRo12qOezAGZWhLcIy2ozy3POXRjJ4iaz8GmcNyr4RSSGjHao52rgWuB9wPnAXwj1y5czNbV38+eD9QBcWprDjBz11BeR2DHaWT3/CqwHHnLObY1gPXFh494aekK99zXMIyKxZrRDPTdEupB4MvBqXXXjFJHYMtoPd2WUOnt62bjH61g9O38q56v3vojEGAX/BPvTwXpa+3rvL5pOaM0BEZGYoeCfYOG990eztq6ISLQp+CdQMOj4/W4v+PMzUlk6Sxc2i0jsUfBPoLeqGqlt9pYnvnFBMQH13heRGKTgn0BaYlFEJgMF/wRav8tryjY1NcBV8wt8rkZE5OwU/BPkQE0Lh2pbAbj2/ELSU9R7X0Rik4J/gmzQEosiMkko+CdI3zBPIMm4/iL13heR2KXgnwA1pzrY9k4jAO+ZM43cqan+FiQiMgzfgt/MvmJmPX4dfyJt2K3e+yIyefgS/GZ2IbDUj2NHwoCrddWUTURiXNSD37zmNU8AD0b72JHQ3HG69/6imdmU5Kr3vojENj/O+P8b8Jpzbv9QTzCz+82swswqamtro1ja2L26r5auXm8VypsX6mxfRGLfaBdiGTczWwasDj3cCCwArhvuNc65pwit8FVeXu4iWN4509W6IjLZRPyM3zm3xTk33zk3H3gbKAY2m9lbQMDMNkW6hkjp6gnyh1Dv/bJpU7hoepbPFYmIjCziZ/zhnHPfA77X99jMepxz10Szhon0xqF6mju9iUk3L1TvfRGZHDSP/xyEX62r3vsiMln4GvzOuaj+xTGRgkHXH/x5U1MoP0+990VkctAZ/zi9Xd3E8VMdANywoJjkgH6UIjI5KK3Gqa83D+hqXRGZXBT849Q3jTM9JYlrzi/0uRoRkdFT8I/D4bpW9te0AHDN+YVMSVXvfRGZPBT847BBwzwiMokp+Mehb5gnybwPdkVEJhMF/xjVNney5Z0GAJbPnsa0DPXeF5HJRcE/Ri/vPoELdQ+6WS2YRWQSUvCP0YC1dTW+LyKTkIJ/DFo7e9h0oA6Ai6ZnUTZtqs8ViYiMnYJ/DF7bV0tXT6j3voZ5RGSSUvCPwXoN84hIHFDwj1J3b5CXQ4uql+ROYdHMbJ8rEhEZHwX/KL15+CSnOrze+zctLFbvfRGZtBT8o6TZPCISLxT8o+CcY/1Or01DzpQUls+Z5nNFIiLjp+AfhZ3vnuLdplDv/YuKSFHvfRGZxJRgo9B3tg9w8yIN84jI5KbgH4W+aZypyeq9LyKTn4J/BO/Ut7HneDMA18wvICNt0i4TLCICKPhHNGCJRQ3ziEgcUPCPoG+Yx9R7X0TihIJ/GPUtnVQcOQlA+Xl5FGSm+VyRiMi5U/AP4+U9NQT7eu8vVFM2EYkPCv5hhF+te5Ou1hWROOFL8JvZP5rZkdBtpR81jKS9q5dN+2sBuKA4k9kFGT5XJCIyMaI+N9HMrgc+ASx1zp00synRrmE0XttfS0d3qPe+hnlEJI74ccb/eeDLzrmTAM659sFPMLP7zazCzCpqa2ujXiDA+p1hTdk0jVNE4ogfwX8Z8F4z221mvzezOYOf4Jx7yjlX7pwrLyyM/pWyPb1BXt7jBf/07HQuKcmJeg0iIpES8eA3s2VmdiB0+zZQCBxzzi0Afgs8HukaxqriaAONbd2Aeu+LSPyJ+Bi/c24LML/vsZmtAp4PPXwe+PtI1zBWGuYRkXjmx1DP74C+mTwfBDb7UMOQnHP9bRqy0pN5z5x8nysSEZlYfgT/w8DtZnYAuBX4kg81DGn3sWaqGrzPm6+/qIjUZF3qICLxJerTOZ1zdXiBH5MGNGXTNE4RiUM6nR2k72rd1EAS77tQvfdFJP4o+MNUNbSx891TAFw5P59M9d4XkTik4A8T3ptHwzwiEq8U/GH6pnGawY0Li3yuRkQkMhT8IQ2tXbwZ6r2/pCyXoqx0nysSEYkMBX/IK3tq6A01379JwzwiEscU/CEDxvd1ta6IxDEFP9DR3cur+7wuoPMKM5hXmOlzRSIikaPgB17fX0d7dy8ANy/SMI+IxDcFP4Ov1tUwj4jEt4QP/t6g4+XdNQAUZaVxWWmuvwWJiERYwgf/1ncaqG/tAuDGhcUkJan3vojEt4QP/vU7NcwjIokloYPf673vTePMTEvminnqvS8i8S+hg3/fiRaO1rcBcN2FhaQlB3yuSEQk8hI6+AcM82gap4gkiIQO/g27vWGelIBxnXrvi0iCSNjgf7exnR1VTQC8d24+2ekpPlckIhIdCRv8v98d3ptHwzwikjgSNvj7eu8D3LRA0zhFJHEkZPA3tXfzxqF6AC4ry2V6jnrvi0jiSMjg37i3hp5Q731dtCUiiSYhgz98mEfBLyKJJtnvAqKlp7uLbWufJHP3T3m4q4aPp+bz2+QbmDPtZr9LExGJqqgHv5ktBn4M5AN/BT7inGuN5DF7urvY8d07WN66KVQElFg95cF9bP3uX7n0c8+RnJIayRJERGKGH0M93wH+1Tk3F2gF7o30AbetfZKlrZtwbuB252Bp6ya2/uaHkS5BRCRm+BH8nWH304ATQz1xomTt/hkANqjjct/jrF0/jXQJIiIxw4/gfwD4mpm9DhwGfjX4CWZ2v5lVmFlFbW3tOR8wt7tm2P15I+wXEYknEQ9+M1tmZgdCt28DdwMvAZ8ElgKLB7/GOfeUc67cOVdeWHjuPXQaU4qG3d8wwn4RkXgS8Q93nXNbgPkAZpYN7AVmOuecmX0f+DKwKpI1NC+4G3Z8FecGDvf0PW5e+JFIHl5EJKZEe6inG8gELgw9XgY0RPqgS297gK0Z15x1jH9rxjUsW/HJSJcgIhIzojqd0znXbmb/CPzWzHqBfcDfR/q4geRkLv3cc7z5mx+Steun5HXX0JBSRPPCj7BsxScJJCfM5QwiIpgbPMcxxpSXl7uKigq/yxARmVTMbItzrvxs+xKyZYOISCJT8IuIJBgFv4hIglHwi4gkmJj/cNfMaoGjE/y2BUDdBL9nJKjOiaU6J9ZkqHMy1AiRqfM859xZr4CN+eCPBDOrGOrT7liiOieW6pxYk6HOyVAjRL9ODfWIiCQYBb+ISIJJ1OB/yu8CRkl1TizVObEmQ52ToUaIcp0JOcYvIpLIEvWMX0QkYSn4RUQSjIJfxs3MLvO7huGY2RQzu8DvOkRiTUIEv5ktNrPNZnbIzF4ws4xB+5PN7BkzqzazN8xsjk913m1mb5vZYTN70cxyYrTOL5jZQWDLEPt9rdPMss3sebz1nB88y/6LzWy7mR01s++bWdT/HZhZupk9ZWZ7Q3X8U6zVGKojycw2mNm+UK23xGKdYfWkmtkuM3t60PaYqdPMjoStSrjJjzoTIviB7wD/6pybC7QC9w7afy+QDpQC/x56vh+SgSucc3OA48CnBu2PlTorgMuH2e93nUHg+8Dnh9j/P/FWfpsLXArcFqW6wmUA64CL8BYk+rKZlYXtj4UaARxwr3PuAuCzwKOD9sdKnX0eBo6cZXtM1emcmx+6XTNoV1TqTJTg7wy7n4Z3JhjuDuBp501x+g/gxmgVFs459xPnXEvo4TZg2qCnxEqdrzrn6od5iq91OudanHMvAz2D95lZITDHOfc751xvqL4PRLO+UI31zrlfOk8dUAnkxlKNoTqdc+5Y6OF5wPa+fbFUZ6ieBcByYM2g7TFV51CiWWeiBP8DwNfM7HXgMPCrQfvLCPUDcs61AW1mlhfdEk8L/Xn3UeCXg3bFVJ3DiOU6S4F3wh5XATN8qgXw/rzH+wvpr6FNMVWjmT1oZvXAPwFfC9sVM3WamQFP4P1VMljM1BnSbmYHQ8Og4UNnUaszLoPfzJaFjaF9G7gbeAn4JLAUWDzoJal4wwN9gkCvD3X2eRx43Tn3pxivcyi+1DlKMVWbmRUAzwIfd6cvqompGp1z/905l483jLIuFLIQW3X+A7DROXfgLPtiqU6ccwucc/OA/xv4DzPLDe2KWp1xudisc24LMB+8D/qAvcBM55wzs+/jjaGtCnvJMaAEOGhmU4Bk59ypaNbZx8wewRviue8sL4mZOkfgS52j1Fdbn1K8YZaoC/0VtBZ42Dm3OWxXzNQYzjn3nJk9AeTjdZKMpTrvAbLM7C68fz8ZZrbXOfctYqvOfs65TWZ2BJgNvEUU64zLM/5BuoFM4MLQ42VAw6DnvAh8PHT/Y8DzUalsEDN7CJjHwLO/cDFR5yjEbJ3OuXeAVjO7zswCeIHx82jXEToheQF41Dn3u1isEcDM5prZ9ND9K4CO0GcSMVWnc+5K59wlzrnFwFeBX4VCP6bqNLMMM5sRur8Ebyhnf9TrdM7F/Q0vfA6FfsAvAtOBrND9AN746k/xfru+Ckz3ocZSvBkUh4EDodsXY63OUK1Phupzoa/fj6U6Q7UcwPsQvyl0/8PAF0P7lwJvh+r7N59+hv+CN8PsQNjtC7FUY1gd+4CDwJ/xTpxi6md5lprvA56OxTqBwrCf51bg/X7UqV49IiIJJhGGekREJIyCX0QkwSj4RUQSjIJfRCTBKPhFRBKMgl9EJMEo+EXGycxSzGyh33WIjJWCX2QczOwneJfYPzFo+0rz1lM4YGafCNteYmYvmVmlmf052vWKhNMFXCLjYGZ/i9dA64vOuRtD27KAXcB7Q/veAi5xztWa2WvAj51zz5rZFOdcu0+li+iMX8TMXjGza0P3nwg18sPMbjGzY2Y2L/S4OLQyUpJz7kWgY9Bb3QK86pyrds4dB14BbjCzZXgnWc8CKPTFbwp+EVgPXBu6fxlQHrp/NV643x56/GFgtXMuyNn1r0MQ0tdPfTFQHVrCcI+ZfXECaxcZMwW/CGwArjWzYqAWOGVmRcBVeA3+PhR63p14qyINZah+6kV4SyyuxPtl8o8W4wvVS3xT8It4XRLPxxuq2QD8AbgJyHTO/REoMbMLgQLn3Pah32bIfuo1wGvOuQbntTT+I3DBxH8bIqOj4JeE57wZDn/BW9x+PV7wfxovoMFbAvNxYPUIb7UOuMXMikI97K8Mvd8GvLH+7NBqS+/FW1NZxBcKfhHPBiDPOXcYqAAWhLaBF/i34q0xAICZbcUb9rkyNHXzY865E8A/4/Wt/yPwBedcq/MW2Pg2sBl4E/iGO/sSgSJRoemcIiIJRmf8IiIJRsEvIpJgFPwiIglGwS8ikmAU/CIiCUbBLyKSYBT8IiIJRsEvIpJg/n86esCaNsf7bwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pointplot(y = 'wv101', x = 'wv106',  hue = 'male', data = df[df['wv102'] >= 1]);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-22T10:10:59.849405Z",
     "start_time": "2021-11-22T10:10:59.844186Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-8., nan, 11., 12., 13., 37., 61., 14., 51., 43., 21., 46., 65.,\n",
       "       44., 15., 22., 23., 31., 45., 34., 32., 33., 52., 35., 36., 42.,\n",
       "       41., 50., 53., 62., 54.])"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['ear101a'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-22T10:11:44.497697Z",
     "start_time": "2021-11-22T10:11:44.490160Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([       nan,  2.311e+03,  6.090e+02,  8.300e+02,  4.700e+01,\n",
       "        9.989e+03,  5.600e+01,  5.100e+01,  1.437e+03,  2.960e+02,\n",
       "        4.900e+01,  5.300e+01,  4.300e+02,  2.480e+02,  5.200e+01,\n",
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       "        2.209e+03,  3.057e+03,  1.370e+02,  2.892e+03,  1.330e+02,\n",
       "        2.924e+03,  2.819e+03,  1.615e+03,  1.400e+02,  2.952e+03])"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "df['qa401c_code'].unique()"
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  {
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   "execution_count": 41,
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    {
     "data": {
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       "       2.884e+03, 2.601e+03, 1.410e+02, 1.430e+02, 3.125e+03, 2.913e+03,\n",
       "       1.340e+02, 1.350e+02, 1.310e+02, 2.919e+03, 5.660e+02, 1.324e+03,\n",
       "       3.057e+03, 1.370e+02, 2.890e+03, 1.400e+02, 2.018e+03, 7.040e+02,\n",
       "       2.930e+03])"
      ]
     },
     "execution_count": 41,
     "metadata": {},
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   "source": [
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   "metadata": {
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     "end_time": "2021-11-22T10:07:17.396365Z",
     "start_time": "2021-11-22T10:07:17.388343Z"
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "-8.0     31876\n",
       " 44.0      165\n",
       " 62.0      144\n",
       " 31.0      111\n",
       " 51.0       93\n",
       " 41.0       90\n",
       " 21.0       65\n",
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       " 14.0       56\n",
       " 13.0       47\n",
       " 37.0       46\n",
       " 23.0       42\n",
       " 36.0       40\n",
       " 35.0       33\n",
       " 61.0       27\n",
       " 53.0       27\n",
       " 43.0       25\n",
       " 33.0       24\n",
       " 52.0       23\n",
       " 45.0       20\n",
       " 22.0       17\n",
       " 42.0       17\n",
       " 65.0       11\n",
       " 34.0       11\n",
       " 12.0       10\n",
       " 50.0        8\n",
       " 11.0        7\n",
       " 46.0        2\n",
       " 15.0        2\n",
       " 54.0        1\n",
       "Name: ear101a, dtype: int64"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
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  {
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   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-22T14:45:46.682922Z",
     "start_time": "2021-11-22T14:45:46.671098Z"
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