us-medical-insurance-costs.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# U.S. Medical Insurance Costs - B. Wortham"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is a file for running the Codecademy Portfolio Project #1 with US Medical Insurance data. \n",
    "\n",
    "The goal of my project is to assess smoker status on costs of insurance. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "#this is how you do it using csv\n",
    "#create empty lists\n",
    "age = []\n",
    "sex = []\n",
    "bmi = []\n",
    "children = []\n",
    "smoker_status =[]\n",
    "region = []\n",
    "charges = []"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "#create helper function to load data into each of the lists above\n",
    "\n",
    "def load_list_data(lst, csv_file, column_name):\n",
    "    # open csv file\n",
    "    with open(csv_file) as csv_info:\n",
    "        # read the data from the csv file\n",
    "        csv_dict = csv.DictReader(csv_info)\n",
    "        # loop through the data in each row of the csv \n",
    "        for row in csv_dict:\n",
    "            # add the data from each row to a list\n",
    "            lst.append(row[column_name])\n",
    "        # return the list\n",
    "        return lst"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['16884.924',\n",
       " '1725.5523',\n",
       " '4449.462',\n",
       " '21984.47061',\n",
       " '3866.8552',\n",
       " '3756.6216',\n",
       " '8240.5896',\n",
       " '7281.5056',\n",
       " '6406.4107',\n",
       " '28923.13692',\n",
       " '2721.3208',\n",
       " '27808.7251',\n",
       " '1826.843',\n",
       " '11090.7178',\n",
       " '39611.7577',\n",
       " '1837.237',\n",
       " '10797.3362',\n",
       " '2395.17155',\n",
       " '10602.385',\n",
       " '36837.467',\n",
       " '13228.84695',\n",
       " '4149.736',\n",
       " '1137.011',\n",
       " '37701.8768',\n",
       " '6203.90175',\n",
       " '14001.1338',\n",
       " '14451.83515',\n",
       " '12268.63225',\n",
       " '2775.19215',\n",
       " '38711',\n",
       " '35585.576',\n",
       " '2198.18985',\n",
       " '4687.797',\n",
       " '13770.0979',\n",
       " '51194.55914',\n",
       " '1625.43375',\n",
       " '15612.19335',\n",
       " '2302.3',\n",
       " '39774.2763',\n",
       " '48173.361',\n",
       " '3046.062',\n",
       " '4949.7587',\n",
       " '6272.4772',\n",
       " '6313.759',\n",
       " '6079.6715',\n",
       " '20630.28351',\n",
       " '3393.35635',\n",
       " '3556.9223',\n",
       " '12629.8967',\n",
       " '38709.176',\n",
       " '2211.13075',\n",
       " '3579.8287',\n",
       " '23568.272',\n",
       " '37742.5757',\n",
       " '8059.6791',\n",
       " '47496.49445',\n",
       " '13607.36875',\n",
       " '34303.1672',\n",
       " '23244.7902',\n",
       " '5989.52365',\n",
       " '8606.2174',\n",
       " '4504.6624',\n",
       " '30166.61817',\n",
       " '4133.64165',\n",
       " '14711.7438',\n",
       " '1743.214',\n",
       " '14235.072',\n",
       " '6389.37785',\n",
       " '5920.1041',\n",
       " '17663.1442',\n",
       " '16577.7795',\n",
       " '6799.458',\n",
       " '11741.726',\n",
       " '11946.6259',\n",
       " '7726.854',\n",
       " '11356.6609',\n",
       " '3947.4131',\n",
       " '1532.4697',\n",
       " '2755.02095',\n",
       " '6571.02435',\n",
       " '4441.21315',\n",
       " '7935.29115',\n",
       " '37165.1638',\n",
       " '11033.6617',\n",
       " '39836.519',\n",
       " '21098.55405',\n",
       " '43578.9394',\n",
       " '11073.176',\n",
       " '8026.6666',\n",
       " '11082.5772',\n",
       " '2026.9741',\n",
       " '10942.13205',\n",
       " '30184.9367',\n",
       " '5729.0053',\n",
       " '47291.055',\n",
       " '3766.8838',\n",
       " '12105.32',\n",
       " '10226.2842',\n",
       " '22412.6485',\n",
       " '15820.699',\n",
       " '6186.127',\n",
       " '3645.0894',\n",
       " '21344.8467',\n",
       " '30942.1918',\n",
       " '5003.853',\n",
       " '17560.37975',\n",
       " '2331.519',\n",
       " '3877.30425',\n",
       " '2867.1196',\n",
       " '47055.5321',\n",
       " '10825.2537',\n",
       " '11881.358',\n",
       " '4646.759',\n",
       " '2404.7338',\n",
       " '11488.31695',\n",
       " '30259.99556',\n",
       " '11381.3254',\n",
       " '19107.7796',\n",
       " '8601.3293',\n",
       " '6686.4313',\n",
       " '7740.337',\n",
       " '1705.6245',\n",
       " '2257.47525',\n",
       " '39556.4945',\n",
       " '10115.00885',\n",
       " '3385.39915',\n",
       " '17081.08',\n",
       " '9634.538',\n",
       " '32734.1863',\n",
       " '6082.405',\n",
       " '12815.44495',\n",
       " '13616.3586',\n",
       " '11163.568',\n",
       " '1632.56445',\n",
       " '2457.21115',\n",
       " '2155.6815',\n",
       " '1261.442',\n",
       " '2045.68525',\n",
       " '27322.73386',\n",
       " '2166.732',\n",
       " '27375.90478',\n",
       " '3490.5491',\n",
       " '18972.495',\n",
       " '18157.876',\n",
       " '20745.9891',\n",
       " '5138.2567',\n",
       " '40720.55105',\n",
       " '9877.6077',\n",
       " '10959.6947',\n",
       " '1842.519',\n",
       " '5125.2157',\n",
       " '7789.635',\n",
       " '6334.34355',\n",
       " '19964.7463',\n",
       " '7077.1894',\n",
       " '6948.7008',\n",
       " '21223.6758',\n",
       " '15518.18025',\n",
       " '36950.2567',\n",
       " '19749.38338',\n",
       " '21348.706',\n",
       " '36149.4835',\n",
       " '10450.552',\n",
       " '5152.134',\n",
       " '5028.1466',\n",
       " '10407.08585',\n",
       " '4830.63',\n",
       " '6128.79745',\n",
       " '2719.27975',\n",
       " '4827.90495',\n",
       " '13405.3903',\n",
       " '8116.68',\n",
       " '1694.7964',\n",
       " '5246.047',\n",
       " '2855.43755',\n",
       " '48824.45',\n",
       " '6455.86265',\n",
       " '10436.096',\n",
       " '8823.279',\n",
       " '8538.28845',\n",
       " '11735.87905',\n",
       " '1631.8212',\n",
       " '4005.4225',\n",
       " '7419.4779',\n",
       " '7731.4271',\n",
       " '43753.33705',\n",
       " '3981.9768',\n",
       " '5325.651',\n",
       " '6775.961',\n",
       " '4922.9159',\n",
       " '12557.6053',\n",
       " '4883.866',\n",
       " '2137.6536',\n",
       " '12044.342',\n",
       " '1137.4697',\n",
       " '1639.5631',\n",
       " '5649.715',\n",
       " '8516.829',\n",
       " '9644.2525',\n",
       " '14901.5167',\n",
       " '2130.6759',\n",
       " '8871.1517',\n",
       " '13012.20865',\n",
       " '37133.8982',\n",
       " '7147.105',\n",
       " '4337.7352',\n",
       " '11743.299',\n",
       " '20984.0936',\n",
       " '13880.949',\n",
       " '6610.1097',\n",
       " '1980.07',\n",
       " '8162.71625',\n",
       " '3537.703',\n",
       " '5002.7827',\n",
       " '8520.026',\n",
       " '7371.772',\n",
       " '10355.641',\n",
       " '2483.736',\n",
       " '3392.9768',\n",
       " '25081.76784',\n",
       " '5012.471',\n",
       " '10564.8845',\n",
       " '5253.524',\n",
       " '34779.615',\n",
       " '19515.5416',\n",
       " '11987.1682',\n",
       " '2689.4954',\n",
       " '24227.33724',\n",
       " '7358.17565',\n",
       " '9225.2564',\n",
       " '7443.64305',\n",
       " '14001.2867',\n",
       " '1727.785',\n",
       " '12333.828',\n",
       " '6710.1919',\n",
       " '19444.2658',\n",
       " '1615.7667',\n",
       " '4463.2051',\n",
       " '17352.6803',\n",
       " '7152.6714',\n",
       " '38511.6283',\n",
       " '5354.07465',\n",
       " '35160.13457',\n",
       " '7196.867',\n",
       " '29523.1656',\n",
       " '24476.47851',\n",
       " '12648.7034',\n",
       " '1986.9334',\n",
       " '1832.094',\n",
       " '4040.55825',\n",
       " '12829.4551',\n",
       " '47305.305',\n",
       " '44260.7499',\n",
       " '4260.744',\n",
       " '41097.16175',\n",
       " '13047.33235',\n",
       " '43921.1837',\n",
       " '5400.9805',\n",
       " '11520.09985',\n",
       " '33750.2918',\n",
       " '11837.16',\n",
       " '17085.2676',\n",
       " '24869.8368',\n",
       " '36219.40545',\n",
       " '20462.99766',\n",
       " '46151.1245',\n",
       " '17179.522',\n",
       " '14590.63205',\n",
       " '7441.053',\n",
       " '9282.4806',\n",
       " '1719.4363',\n",
       " '42856.838',\n",
       " '7265.7025',\n",
       " '9617.66245',\n",
       " '2523.1695',\n",
       " '9715.841',\n",
       " '2803.69785',\n",
       " '2150.469',\n",
       " '12928.7911',\n",
       " '9855.1314',\n",
       " '22331.5668',\n",
       " '48549.17835',\n",
       " '4237.12655',\n",
       " '11879.10405',\n",
       " '9625.92',\n",
       " '7742.1098',\n",
       " '9432.9253',\n",
       " '14256.1928',\n",
       " '47896.79135',\n",
       " '25992.82104',\n",
       " '3172.018',\n",
       " '20277.80751',\n",
       " '42112.2356',\n",
       " '2156.7518',\n",
       " '3906.127',\n",
       " '1704.5681',\n",
       " '16297.846',\n",
       " '21978.6769',\n",
       " '38746.3551',\n",
       " '9249.4952',\n",
       " '6746.7425',\n",
       " '24873.3849',\n",
       " '12265.5069',\n",
       " '4349.462',\n",
       " '12646.207',\n",
       " '19442.3535',\n",
       " '20177.67113',\n",
       " '4151.0287',\n",
       " '11944.59435',\n",
       " '7749.1564',\n",
       " '8444.474',\n",
       " '1737.376',\n",
       " '42124.5153',\n",
       " '8124.4084',\n",
       " '34838.873',\n",
       " '9722.7695',\n",
       " '8835.26495',\n",
       " '10435.06525',\n",
       " '7421.19455',\n",
       " '4667.60765',\n",
       " '4894.7533',\n",
       " '24671.66334',\n",
       " '35491.64',\n",
       " '11566.30055',\n",
       " '2866.091',\n",
       " '6600.20595',\n",
       " '3561.8889',\n",
       " '42760.5022',\n",
       " '47928.03',\n",
       " '9144.565',\n",
       " '48517.56315',\n",
       " '24393.6224',\n",
       " '13429.0354',\n",
       " '11658.37915',\n",
       " '19144.57652',\n",
       " '13822.803',\n",
       " '12142.5786',\n",
       " '13937.6665',\n",
       " '41919.097',\n",
       " '8232.6388',\n",
       " '18955.22017',\n",
       " '13352.0998',\n",
       " '13217.0945',\n",
       " '13981.85035',\n",
       " '10977.2063',\n",
       " '6184.2994',\n",
       " '4889.9995',\n",
       " '8334.45755',\n",
       " '5478.0368',\n",
       " '1635.73365',\n",
       " '11830.6072',\n",
       " '8932.084',\n",
       " '3554.203',\n",
       " '12404.8791',\n",
       " '14133.03775',\n",
       " '24603.04837',\n",
       " '8944.1151',\n",
       " '9620.3307',\n",
       " '1837.2819',\n",
       " '1607.5101',\n",
       " '10043.249',\n",
       " '4751.07',\n",
       " '13844.506',\n",
       " '2597.779',\n",
       " '3180.5101',\n",
       " '9778.3472',\n",
       " '13430.265',\n",
       " '8017.06115',\n",
       " '8116.26885',\n",
       " '3481.868',\n",
       " '13415.0381',\n",
       " '12029.2867',\n",
       " '7639.41745',\n",
       " '36085.219',\n",
       " '1391.5287',\n",
       " '18033.9679',\n",
       " '21659.9301',\n",
       " '38126.2465',\n",
       " '16455.70785',\n",
       " '27000.98473',\n",
       " '15006.57945',\n",
       " '42303.69215',\n",
       " '20781.48892',\n",
       " '5846.9176',\n",
       " '8302.53565',\n",
       " '1261.859',\n",
       " '11856.4115',\n",
       " '30284.64294',\n",
       " '3176.8159',\n",
       " '4618.0799',\n",
       " '10736.87075',\n",
       " '2138.0707',\n",
       " '8964.06055',\n",
       " '9290.1395',\n",
       " '9411.005',\n",
       " '7526.70645',\n",
       " '8522.003',\n",
       " '16586.49771',\n",
       " '14988.432',\n",
       " '1631.6683',\n",
       " '9264.797',\n",
       " '8083.9198',\n",
       " '14692.66935',\n",
       " '10269.46',\n",
       " '3260.199',\n",
       " '11396.9002',\n",
       " '4185.0979',\n",
       " '8539.671',\n",
       " '6652.5288',\n",
       " '4074.4537',\n",
       " '1621.3402',\n",
       " '19594.80965',\n",
       " '14455.64405',\n",
       " '5080.096',\n",
       " '2134.9015',\n",
       " '7345.7266',\n",
       " '9140.951',\n",
       " '18608.262',\n",
       " '14418.2804',\n",
       " '28950.4692',\n",
       " '46889.2612',\n",
       " '46599.1084',\n",
       " '39125.33225',\n",
       " '2727.3951',\n",
       " '8968.33',\n",
       " '9788.8659',\n",
       " '6555.07035',\n",
       " '7323.734819',\n",
       " '3167.45585',\n",
       " '18804.7524',\n",
       " '23082.95533',\n",
       " '4906.40965',\n",
       " '5969.723',\n",
       " '12638.195',\n",
       " '4243.59005',\n",
       " '13919.8229',\n",
       " '2254.7967',\n",
       " '5926.846',\n",
       " '12592.5345',\n",
       " '2897.3235',\n",
       " '4738.2682',\n",
       " '37079.372',\n",
       " '1149.3959',\n",
       " '28287.89766',\n",
       " '26109.32905',\n",
       " '7345.084',\n",
       " '12730.9996',\n",
       " '11454.0215',\n",
       " '5910.944',\n",
       " '4762.329',\n",
       " '7512.267',\n",
       " '4032.2407',\n",
       " '1969.614',\n",
       " '1769.53165',\n",
       " '4686.3887',\n",
       " '21797.0004',\n",
       " '11881.9696',\n",
       " '11840.77505',\n",
       " '10601.412',\n",
       " '7682.67',\n",
       " '10381.4787',\n",
       " '22144.032',\n",
       " '15230.32405',\n",
       " '11165.41765',\n",
       " '1632.03625',\n",
       " '19521.9682',\n",
       " '13224.693',\n",
       " '12643.3778',\n",
       " '23288.9284',\n",
       " '2201.0971',\n",
       " '2497.0383',\n",
       " '2203.47185',\n",
       " '1744.465',\n",
       " '20878.78443',\n",
       " '25382.297',\n",
       " '28868.6639',\n",
       " '35147.52848',\n",
       " '2534.39375',\n",
       " '1534.3045',\n",
       " '1824.2854',\n",
       " '15555.18875',\n",
       " '9304.7019',\n",
       " '1622.1885',\n",
       " '9880.068',\n",
       " '9563.029',\n",
       " '4347.02335',\n",
       " '12475.3513',\n",
       " '1253.936',\n",
       " '48885.13561',\n",
       " '10461.9794',\n",
       " '1748.774',\n",
       " '24513.09126',\n",
       " '2196.4732',\n",
       " '12574.049',\n",
       " '17942.106',\n",
       " '1967.0227',\n",
       " '4931.647',\n",
       " '8027.968',\n",
       " '8211.1002',\n",
       " '13470.86',\n",
       " '36197.699',\n",
       " '6837.3687',\n",
       " '22218.1149',\n",
       " '32548.3405',\n",
       " '5974.3847',\n",
       " '6796.86325',\n",
       " '2643.2685',\n",
       " '3077.0955',\n",
       " '3044.2133',\n",
       " '11455.28',\n",
       " '11763.0009',\n",
       " '2498.4144',\n",
       " '9361.3268',\n",
       " '1256.299',\n",
       " '21082.16',\n",
       " '11362.755',\n",
       " '27724.28875',\n",
       " '8413.46305',\n",
       " '5240.765',\n",
       " '3857.75925',\n",
       " '25656.57526',\n",
       " '3994.1778',\n",
       " '9866.30485',\n",
       " '5397.6167',\n",
       " '38245.59327',\n",
       " '11482.63485',\n",
       " '24059.68019',\n",
       " '9861.025',\n",
       " '8342.90875',\n",
       " '1708.0014',\n",
       " '48675.5177',\n",
       " '14043.4767',\n",
       " '12925.886',\n",
       " '19214.70553',\n",
       " '13831.1152',\n",
       " '6067.12675',\n",
       " '5972.378',\n",
       " '8825.086',\n",
       " '8233.0975',\n",
       " '27346.04207',\n",
       " '6196.448',\n",
       " '3056.3881',\n",
       " '13887.204',\n",
       " '63770.42801',\n",
       " '10231.4999',\n",
       " '23807.2406',\n",
       " '3268.84665',\n",
       " '11538.421',\n",
       " '3213.62205',\n",
       " '45863.205',\n",
       " '13390.559',\n",
       " '3972.9247',\n",
       " '12957.118',\n",
       " '11187.6567',\n",
       " '17878.90068',\n",
       " '3847.674',\n",
       " '8334.5896',\n",
       " '3935.1799',\n",
       " '39983.42595',\n",
       " '1646.4297',\n",
       " '9193.8385',\n",
       " '10923.9332',\n",
       " '2494.022',\n",
       " '9058.7303',\n",
       " '2801.2588',\n",
       " '2128.43105',\n",
       " '6373.55735',\n",
       " '7256.7231',\n",
       " '11552.904',\n",
       " '45702.02235',\n",
       " '3761.292',\n",
       " '2219.4451',\n",
       " '4753.6368',\n",
       " '31620.00106',\n",
       " '13224.05705',\n",
       " '12222.8983',\n",
       " '1664.9996',\n",
       " '58571.07448',\n",
       " '9724.53',\n",
       " '3206.49135',\n",
       " '12913.9924',\n",
       " '1639.5631',\n",
       " '6356.2707',\n",
       " '17626.23951',\n",
       " '1242.816',\n",
       " '4779.6023',\n",
       " '3861.20965',\n",
       " '43943.8761',\n",
       " '13635.6379',\n",
       " '5976.8311',\n",
       " '11842.442',\n",
       " '8428.0693',\n",
       " '2566.4707',\n",
       " '15359.1045',\n",
       " '5709.1644',\n",
       " '8823.98575',\n",
       " '7640.3092',\n",
       " '5594.8455',\n",
       " '7441.501',\n",
       " '33471.97189',\n",
       " '1633.0444',\n",
       " '9174.13565',\n",
       " '11070.535',\n",
       " '16085.1275',\n",
       " '17468.9839',\n",
       " '9283.562',\n",
       " '3558.62025',\n",
       " '25678.77845',\n",
       " '4435.0942',\n",
       " '39241.442',\n",
       " '8547.6913',\n",
       " '6571.544',\n",
       " '2207.69745',\n",
       " '6753.038',\n",
       " '1880.07',\n",
       " '42969.8527',\n",
       " '11658.11505',\n",
       " '23306.547',\n",
       " '34439.8559',\n",
       " '10713.644',\n",
       " '3659.346',\n",
       " '40182.246',\n",
       " '9182.17',\n",
       " '34617.84065',\n",
       " '12129.61415',\n",
       " '3736.4647',\n",
       " '6748.5912',\n",
       " '11326.71487',\n",
       " '11365.952',\n",
       " '42983.4585',\n",
       " '10085.846',\n",
       " '1977.815',\n",
       " '3366.6697',\n",
       " '7173.35995',\n",
       " '9391.346',\n",
       " '14410.9321',\n",
       " '2709.1119',\n",
       " '24915.04626',\n",
       " '20149.3229',\n",
       " '12949.1554',\n",
       " '6666.243',\n",
       " '32787.45859',\n",
       " '13143.86485',\n",
       " '4466.6214',\n",
       " '18806.14547',\n",
       " '10141.1362',\n",
       " '6123.5688',\n",
       " '8252.2843',\n",
       " '1712.227',\n",
       " '12430.95335',\n",
       " '9800.8882',\n",
       " '10579.711',\n",
       " '8280.6227',\n",
       " '8527.532',\n",
       " '12244.531',\n",
       " '24667.419',\n",
       " '3410.324',\n",
       " '4058.71245',\n",
       " '26392.26029',\n",
       " '14394.39815',\n",
       " '6435.6237',\n",
       " '22192.43711',\n",
       " '5148.5526',\n",
       " '1136.3994',\n",
       " '27037.9141',\n",
       " '42560.4304',\n",
       " '8703.456',\n",
       " '40003.33225',\n",
       " '45710.20785',\n",
       " '6500.2359',\n",
       " '4837.5823',\n",
       " '3943.5954',\n",
       " '4399.731',\n",
       " '6185.3208',\n",
       " '46200.9851',\n",
       " '7222.78625',\n",
       " '12485.8009',\n",
       " '46130.5265',\n",
       " '12363.547',\n",
       " '10156.7832',\n",
       " '2585.269',\n",
       " '1242.26',\n",
       " '40103.89',\n",
       " '9863.4718',\n",
       " '4766.022',\n",
       " '11244.3769',\n",
       " '7729.64575',\n",
       " '5438.7491',\n",
       " '26236.57997',\n",
       " '34806.4677',\n",
       " '2104.1134',\n",
       " '8068.185',\n",
       " '2362.22905',\n",
       " '2352.96845',\n",
       " '3577.999',\n",
       " '3201.24515',\n",
       " '29186.48236',\n",
       " '40273.6455',\n",
       " '10976.24575',\n",
       " '3500.6123',\n",
       " '2020.5523',\n",
       " '9541.69555',\n",
       " '9504.3103',\n",
       " '5385.3379',\n",
       " '8930.93455',\n",
       " '5375.038',\n",
       " '44400.4064',\n",
       " '10264.4421',\n",
       " '6113.23105',\n",
       " '5469.0066',\n",
       " '1727.54',\n",
       " '10107.2206',\n",
       " '8310.83915',\n",
       " '1984.4533',\n",
       " '2457.502',\n",
       " '12146.971',\n",
       " '9566.9909',\n",
       " '13112.6048',\n",
       " '10848.1343',\n",
       " '12231.6136',\n",
       " '9875.6804',\n",
       " '11264.541',\n",
       " '12979.358',\n",
       " '1263.249',\n",
       " '10106.13425',\n",
       " '40932.4295',\n",
       " '6664.68595',\n",
       " '16657.71745',\n",
       " '2217.6012',\n",
       " '6781.3542',\n",
       " '19361.9988',\n",
       " '10065.413',\n",
       " '4234.927',\n",
       " '9447.25035',\n",
       " '14007.222',\n",
       " '9583.8933',\n",
       " '40419.0191',\n",
       " '3484.331',\n",
       " '36189.1017',\n",
       " '44585.45587',\n",
       " '8604.48365',\n",
       " '18246.4955',\n",
       " '43254.41795',\n",
       " '3757.8448',\n",
       " '8827.2099',\n",
       " '9910.35985',\n",
       " '11737.84884',\n",
       " '1627.28245',\n",
       " '8556.907',\n",
       " '3062.50825',\n",
       " '19539.243',\n",
       " '1906.35825',\n",
       " '14210.53595',\n",
       " '11833.7823',\n",
       " '17128.42608',\n",
       " '5031.26955',\n",
       " '7985.815',\n",
       " '23065.4207',\n",
       " '5428.7277',\n",
       " '36307.7983',\n",
       " '3925.7582',\n",
       " '2416.955',\n",
       " '19040.876',\n",
       " '3070.8087',\n",
       " '9095.06825',\n",
       " '11842.62375',\n",
       " '8062.764',\n",
       " '7050.642',\n",
       " '14319.031',\n",
       " '6933.24225',\n",
       " '27941.28758',\n",
       " '11150.78',\n",
       " '12797.20962',\n",
       " '17748.5062',\n",
       " '7261.741',\n",
       " '10560.4917',\n",
       " '6986.697',\n",
       " '7448.40395',\n",
       " '5934.3798',\n",
       " '9869.8102',\n",
       " '18259.216',\n",
       " '1146.7966',\n",
       " '9386.1613',\n",
       " '24520.264',\n",
       " '4350.5144',\n",
       " '6414.178',\n",
       " '12741.16745',\n",
       " '1917.3184',\n",
       " '5209.57885',\n",
       " '13457.9608',\n",
       " '5662.225',\n",
       " '1252.407',\n",
       " '2731.9122',\n",
       " '21195.818',\n",
       " '7209.4918',\n",
       " '18310.742',\n",
       " '4266.1658',\n",
       " '4719.52405',\n",
       " '11848.141',\n",
       " '17904.52705',\n",
       " '7046.7222',\n",
       " '14313.8463',\n",
       " '2103.08',\n",
       " '38792.6856',\n",
       " '1815.8759',\n",
       " '7731.85785',\n",
       " '28476.73499',\n",
       " '2136.88225',\n",
       " '1131.5066',\n",
       " '3309.7926',\n",
       " '9414.92',\n",
       " '6360.9936',\n",
       " '11013.7119',\n",
       " '4428.88785',\n",
       " '5584.3057',\n",
       " '1877.9294',\n",
       " '2842.76075',\n",
       " '3597.596',\n",
       " '23401.30575',\n",
       " '55135.40209',\n",
       " '7445.918',\n",
       " '2680.9493',\n",
       " '1621.8827',\n",
       " '8219.2039',\n",
       " '12523.6048',\n",
       " '16069.08475',\n",
       " '43813.8661',\n",
       " '20773.62775',\n",
       " '39597.4072',\n",
       " '6117.4945',\n",
       " '13393.756',\n",
       " '5266.3656',\n",
       " '4719.73655',\n",
       " '11743.9341',\n",
       " '5377.4578',\n",
       " '7160.3303',\n",
       " '4402.233',\n",
       " '11657.7189',\n",
       " '6402.29135',\n",
       " '12622.1795',\n",
       " '1526.312',\n",
       " '12323.936',\n",
       " '36021.0112',\n",
       " '27533.9129',\n",
       " '10072.05505',\n",
       " '45008.9555',\n",
       " '9872.701',\n",
       " '2438.0552',\n",
       " '2974.126',\n",
       " '10601.63225',\n",
       " '37270.1512',\n",
       " '14119.62',\n",
       " '42111.6647',\n",
       " '11729.6795',\n",
       " '24106.91255',\n",
       " '1875.344',\n",
       " '40974.1649',\n",
       " '15817.9857',\n",
       " '18218.16139',\n",
       " '10965.446',\n",
       " '46113.511',\n",
       " '7151.092',\n",
       " '12269.68865',\n",
       " '5458.04645',\n",
       " '8782.469',\n",
       " '6600.361',\n",
       " '1141.4451',\n",
       " '11576.13',\n",
       " '13129.60345',\n",
       " '4391.652',\n",
       " '8457.818',\n",
       " '3392.3652',\n",
       " '5966.8874',\n",
       " '6849.026',\n",
       " '8891.1395',\n",
       " '2690.1138',\n",
       " '26140.3603',\n",
       " '6653.7886',\n",
       " '6282.235',\n",
       " '6311.952',\n",
       " '3443.064',\n",
       " '2789.0574',\n",
       " '2585.85065',\n",
       " '46255.1125',\n",
       " '4877.98105',\n",
       " '19719.6947',\n",
       " '27218.43725',\n",
       " '5272.1758',\n",
       " '1682.597',\n",
       " '11945.1327',\n",
       " '29330.98315',\n",
       " '7243.8136',\n",
       " '10422.91665',\n",
       " '44202.6536',\n",
       " '13555.0049',\n",
       " '13063.883',\n",
       " '19798.05455',\n",
       " '2221.56445',\n",
       " '1634.5734',\n",
       " '2117.33885',\n",
       " '8688.85885',\n",
       " '48673.5588',\n",
       " '4661.28635',\n",
       " '8125.7845',\n",
       " '12644.589',\n",
       " '4564.19145',\n",
       " '4846.92015',\n",
       " '7633.7206',\n",
       " '15170.069',\n",
       " '17496.306',\n",
       " '2639.0429',\n",
       " '33732.6867',\n",
       " '14382.70905',\n",
       " '7626.993',\n",
       " '5257.50795',\n",
       " '2473.3341',\n",
       " '21774.32215',\n",
       " '35069.37452',\n",
       " '13041.921',\n",
       " '5245.2269',\n",
       " '13451.122',\n",
       " '13462.52',\n",
       " '5488.262',\n",
       " '4320.41085',\n",
       " '6250.435',\n",
       " '25333.33284',\n",
       " '2913.569',\n",
       " '12032.326',\n",
       " '13470.8044',\n",
       " '6289.7549',\n",
       " '2927.0647',\n",
       " '6238.298',\n",
       " '10096.97',\n",
       " '7348.142',\n",
       " '4673.3922',\n",
       " '12233.828',\n",
       " '32108.66282',\n",
       " '8965.79575',\n",
       " '2304.0022',\n",
       " '9487.6442',\n",
       " '1121.8739',\n",
       " '9549.5651',\n",
       " '2217.46915',\n",
       " '1628.4709',\n",
       " '12982.8747',\n",
       " '11674.13',\n",
       " '7160.094',\n",
       " '39047.285',\n",
       " '6358.77645',\n",
       " '19933.458',\n",
       " '11534.87265',\n",
       " '47462.894',\n",
       " '4527.18295',\n",
       " '38998.546',\n",
       " '20009.63365',\n",
       " '3875.7341',\n",
       " '41999.52',\n",
       " '12609.88702',\n",
       " '41034.2214',\n",
       " '28468.91901',\n",
       " '2730.10785',\n",
       " '3353.284',\n",
       " '14474.675',\n",
       " '9500.57305',\n",
       " '26467.09737',\n",
       " '4746.344',\n",
       " '23967.38305',\n",
       " '7518.02535',\n",
       " '3279.86855',\n",
       " '8596.8278',\n",
       " '10702.6424',\n",
       " '4992.3764',\n",
       " '2527.81865',\n",
       " '1759.338',\n",
       " '2322.6218',\n",
       " '16138.76205',\n",
       " '7804.1605',\n",
       " '2902.9065',\n",
       " '9704.66805',\n",
       " '4889.0368',\n",
       " '25517.11363',\n",
       " '4500.33925',\n",
       " '19199.944',\n",
       " '16796.41194',\n",
       " '4915.05985',\n",
       " '7624.63',\n",
       " '8410.04685',\n",
       " '28340.18885',\n",
       " '4518.82625',\n",
       " '14571.8908',\n",
       " '3378.91',\n",
       " '7144.86265',\n",
       " '10118.424',\n",
       " '5484.4673',\n",
       " '16420.49455',\n",
       " '7986.47525',\n",
       " '7418.522',\n",
       " '13887.9685',\n",
       " '6551.7501',\n",
       " '5267.81815',\n",
       " ...]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "load_list_data(age, 'insurance.csv', 'age')\n",
    "load_list_data(sex, 'insurance.csv', 'sex')\n",
    "load_list_data(bmi, 'insurance.csv', 'bmi')\n",
    "load_list_data(children, 'insurance.csv', 'children')\n",
    "load_list_data(smoker_status, 'insurance.csv', 'smoker')\n",
    "load_list_data(region, 'insurance.csv', 'region')\n",
    "load_list_data(charges, 'insurance.csv', 'charges')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      age     sex     bmi  children smoker     region      charges\n",
      "0      19  female  27.900         0    yes  southwest  16884.92400\n",
      "1      18    male  33.770         1     no  southeast   1725.55230\n",
      "2      28    male  33.000         3     no  southeast   4449.46200\n",
      "3      33    male  22.705         0     no  northwest  21984.47061\n",
      "4      32    male  28.880         0     no  northwest   3866.85520\n",
      "5      31  female  25.740         0     no  southeast   3756.62160\n",
      "6      46  female  33.440         1     no  southeast   8240.58960\n",
      "7      37  female  27.740         3     no  northwest   7281.50560\n",
      "8      37    male  29.830         2     no  northeast   6406.41070\n",
      "9      60  female  25.840         0     no  northwest  28923.13692\n",
      "10     25    male  26.220         0     no  northeast   2721.32080\n",
      "11     62  female  26.290         0    yes  southeast  27808.72510\n",
      "12     23    male  34.400         0     no  southwest   1826.84300\n",
      "13     56  female  39.820         0     no  southeast  11090.71780\n",
      "14     27    male  42.130         0    yes  southeast  39611.75770\n",
      "15     19    male  24.600         1     no  southwest   1837.23700\n",
      "16     52  female  30.780         1     no  northeast  10797.33620\n",
      "17     23    male  23.845         0     no  northeast   2395.17155\n",
      "18     56    male  40.300         0     no  southwest  10602.38500\n",
      "19     30    male  35.300         0    yes  southwest  36837.46700\n",
      "20     60  female  36.005         0     no  northeast  13228.84695\n",
      "21     30  female  32.400         1     no  southwest   4149.73600\n",
      "22     18    male  34.100         0     no  southeast   1137.01100\n",
      "23     34  female  31.920         1    yes  northeast  37701.87680\n",
      "24     37    male  28.025         2     no  northwest   6203.90175\n",
      "25     59  female  27.720         3     no  southeast  14001.13380\n",
      "26     63  female  23.085         0     no  northeast  14451.83515\n",
      "27     55  female  32.775         2     no  northwest  12268.63225\n",
      "28     23    male  17.385         1     no  northwest   2775.19215\n",
      "29     31    male  36.300         2    yes  southwest  38711.00000\n",
      "...   ...     ...     ...       ...    ...        ...          ...\n",
      "1308   25  female  30.200         0    yes  southwest  33900.65300\n",
      "1309   41    male  32.200         2     no  southwest   6875.96100\n",
      "1310   42    male  26.315         1     no  northwest   6940.90985\n",
      "1311   33  female  26.695         0     no  northwest   4571.41305\n",
      "1312   34    male  42.900         1     no  southwest   4536.25900\n",
      "1313   19  female  34.700         2    yes  southwest  36397.57600\n",
      "1314   30  female  23.655         3    yes  northwest  18765.87545\n",
      "1315   18    male  28.310         1     no  northeast  11272.33139\n",
      "1316   19  female  20.600         0     no  southwest   1731.67700\n",
      "1317   18    male  53.130         0     no  southeast   1163.46270\n",
      "1318   35    male  39.710         4     no  northeast  19496.71917\n",
      "1319   39  female  26.315         2     no  northwest   7201.70085\n",
      "1320   31    male  31.065         3     no  northwest   5425.02335\n",
      "1321   62    male  26.695         0    yes  northeast  28101.33305\n",
      "1322   62    male  38.830         0     no  southeast  12981.34570\n",
      "1323   42  female  40.370         2    yes  southeast  43896.37630\n",
      "1324   31    male  25.935         1     no  northwest   4239.89265\n",
      "1325   61    male  33.535         0     no  northeast  13143.33665\n",
      "1326   42  female  32.870         0     no  northeast   7050.02130\n",
      "1327   51    male  30.030         1     no  southeast   9377.90470\n",
      "1328   23  female  24.225         2     no  northeast  22395.74424\n",
      "1329   52    male  38.600         2     no  southwest  10325.20600\n",
      "1330   57  female  25.740         2     no  southeast  12629.16560\n",
      "1331   23  female  33.400         0     no  southwest  10795.93733\n",
      "1332   52  female  44.700         3     no  southwest  11411.68500\n",
      "1333   50    male  30.970         3     no  northwest  10600.54830\n",
      "1334   18  female  31.920         0     no  northeast   2205.98080\n",
      "1335   18  female  36.850         0     no  southeast   1629.83350\n",
      "1336   21  female  25.800         0     no  southwest   2007.94500\n",
      "1337   61  female  29.070         0    yes  northwest  29141.36030\n",
      "\n",
      "[1338 rows x 7 columns]\n"
     ]
    }
   ],
   "source": [
    "#this is how you do it using pandas\n",
    "insurance = pd.read_csv('insurance.csv')\n",
    "print(insurance)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The goal of these analyses is to understand the insurance cost risk of smokers and how the smoker status is tied to other indicators of insurance cost like bmi."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# age and smoker analysis\n",
    "#first break out data by age categories: < 20, 20-40, 40-60, > 60 using pandas\n",
    "dfagecat20 = insurance[insurance['age']<20]\n",
    "dfagecat20to40 = insurance[(insurance['age']>20) & (insurance['age']<40)]\n",
    "dfagecat40to60 = insurance[(insurance['age']>40) & (insurance['age']<60)]\n",
    "dfagecat60 = insurance[insurance['age']>60]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "#calculate the average cost of insurance for smokers vs. non-smokers per age category\n",
    "avgcost20smoker = dfagecat20.groupby('smoker')[\"charges\"].mean() \n",
    "avgcost20to40smoker = dfagecat20to40.groupby('smoker')[\"charges\"].mean()\n",
    "avgcost40to60smoker = dfagecat40to60.groupby('smoker')[\"charges\"].mean()\n",
    "avgcost60smoker = dfagecat60.groupby('smoker')[\"charges\"].mean()\n",
    "#could/should probably find a way to loop this"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "#do the same as above but for BMI\n",
    "avgBMI20smoker = dfagecat20.groupby('smoker')[\"bmi\"].mean()\n",
    "avgBMI20to40smoker = dfagecat20to40.groupby('smoker')[\"bmi\"].mean()\n",
    "avgBMI40to60smoker = dfagecat40to60.groupby('smoker')[\"bmi\"].mean()\n",
    "avgBMI60smoker = dfagecat60.groupby('smoker')[\"bmi\"].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '60 & over')"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#plotting up the BMI results\n",
    "fig, (ax1, ax2, ax3, ax4) = plt.subplots(1, 4, sharey='row')\n",
    "fig.suptitle('Average BMI for smokers and nonsmokers by age')\n",
    "ax1.bar(x = avgBMI20smoker.index, height = avgBMI20smoker)\n",
    "ax1.set_title('20 & under')\n",
    "ax2.bar(x = avgBMI20to40smoker.index, height = avgBMI20to40smoker)\n",
    "ax2.set_title('20 to 40')\n",
    "ax3.bar(x= avgBMI40to60smoker.index, height = avgBMI40to60smoker)\n",
    "ax3.set_title('40 to 60')\n",
    "ax4.bar(x = avgBMI60smoker.index, height = avgBMI60smoker)\n",
    "ax4.set_title('60 & over')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '60 & over')"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#figure for costs\n",
    "fig, (ax1, ax2, ax3, ax4) = plt.subplots(1, 4, sharey='row')\n",
    "fig.suptitle('Average costs for smokers and nonsmokers by age')\n",
    "ax1.bar(x = avgcost20smoker.index, height = avgcost20smoker)\n",
    "ax1.set_title('20 & under')\n",
    "ax2.bar(x = avgcost20to40smoker.index, height = avgcost20to40smoker)\n",
    "ax2.set_title('20 to 40')\n",
    "ax3.bar(x= avgcost40to60smoker.index, height = avgcost40to60smoker)\n",
    "ax3.set_title('40 to 60')\n",
    "ax4.bar(x = avgcost60smoker.index, height = avgcost60smoker)\n",
    "ax4.set_title('60 & over')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}