Latino-Americans-ACS.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "4ec06d82-8c1b-4a7e-9f53-546673012938",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/0f/j3495cjn7f71jcy4ffxb049c0000gn/T/ipykernel_66890/2463348950.py:15: DeprecationWarning: Importing display from IPython.core.display is deprecated since IPython 7.14, please import from IPython display\n",
      "  from IPython.core.display import display\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "        <script type=\"text/javascript\">\n",
       "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
       "        if (window.MathJax && window.MathJax.Hub && window.MathJax.Hub.Config) {window.MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
       "        if (typeof require !== 'undefined') {\n",
       "        require.undef(\"plotly\");\n",
       "        requirejs.config({\n",
       "            paths: {\n",
       "                'plotly': ['https://cdn.plot.ly/plotly-2.27.0.min']\n",
       "            }\n",
       "        });\n",
       "        require(['plotly'], function(Plotly) {\n",
       "            window._Plotly = Plotly;\n",
       "        });\n",
       "        }\n",
       "        </script>\n",
       "        "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%load_ext autoreload\n",
    "\n",
    "import json\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from src.pyipums.parse_xml import read_ipums_ddi\n",
    "from src.pyipums.clean_data import IpumsAcsCleaner\n",
    "from ipumspy import readers, ddi\n",
    "from matplotlib import pyplot as plt\n",
    "import plotly\n",
    "import plotly.io as pio\n",
    "\n",
    "import seaborn as sns\n",
    "import matplotlib as mpl\n",
    "from IPython.core.display import display\n",
    "\n",
    "plt.rcParams[\"figure.figsize\"]=12,8  # Set figure size for the notebook\n",
    "sns.set(style=\"whitegrid\")           # set seaborn whitegrid theme\n",
    "\n",
    "plotly.offline.init_notebook_mode(connected=True)\n",
    "\n",
    "# pio.renderers.default = 'iframe' # or 'notebook' or 'colab' or 'jupyterlab'\n",
    "# pio.renderers.default = 'jupyterlab'\n",
    "# This is the one that works\n",
    "pio.renderers.default = 'iframe'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "3166abbc-84c1-4e6a-893f-bef2a2541121",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "        <script type=\"text/javascript\">\n",
       "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
       "        if (window.MathJax && window.MathJax.Hub && window.MathJax.Hub.Config) {window.MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
       "        if (typeof require !== 'undefined') {\n",
       "        require.undef(\"plotly\");\n",
       "        requirejs.config({\n",
       "            paths: {\n",
       "                'plotly': ['https://cdn.plot.ly/plotly-2.27.0.min']\n",
       "            }\n",
       "        });\n",
       "        require(['plotly'], function(Plotly) {\n",
       "            window._Plotly = Plotly;\n",
       "        });\n",
       "        }\n",
       "        </script>\n",
       "        "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from utils import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "cde84253-8c62-4186-8d41-4a4d32ccac9e",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/franciscojavierarceo/.pyenv/versions/3.8.16/lib/python3.8/site-packages/ipumspy/readers.py:47: CitationWarning:\n",
      "\n",
      "Use of data from IPUMS is subject to conditions including that users should cite the data appropriately.\n",
      "See the `ipums_conditions` attribute of this codebook for terms of use.\n",
      "See the `ipums_citation` attribute of this codebook for the appropriate citation.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "ddi_file_path = \"./usa_00005.xml\"\n",
    "data_file_path = \"./usa_00005.dat.gz\"\n",
    "\n",
    "ddi_codebook = readers.read_ipums_ddi(ddi_file_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "cf5a7978-3331-49d0-a8cf-9a5c5cdcc425",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "YEAR  -  Census year\n",
      "SAMPLE  -  IPUMS sample identifier\n",
      "SERIAL  -  Household serial number\n",
      "CBSERIAL  -  Original Census Bureau household serial number\n",
      "HHWT  -  Household weight\n",
      "CLUSTER  -  Household cluster for variance estimation\n",
      "STATEICP  -  State (ICPSR code)\n",
      "STATEFIP  -  State (FIPS code)\n",
      "METRO  -  Metropolitan status\n",
      "CITY  -  City\n",
      "STRATA  -  Household strata for variance estimation\n",
      "GQ  -  Group quarters status\n",
      "PERNUM  -  Person number in sample unit\n",
      "CBPERNUM  -  Original Census Bureau person number in sample unit\n",
      "PERWT  -  Person weight\n",
      "SLWT  -  Sample-line weight\n",
      "RELATE  -  Relationship to household head [general version]\n",
      "RELATED  -  Relationship to household head [detailed version]\n",
      "SEX  -  Sex\n",
      "AGE  -  Age\n",
      "BIRTHQTR  -  Quarter of birth\n",
      "MARST  -  Marital status\n",
      "BIRTHYR  -  Year of birth\n",
      "MARRNO  -  Times married\n",
      "MARRINYR  -  Married within the past year\n",
      "YRMARR  -  Year married\n",
      "DIVINYR  -  Divorced in the past year\n",
      "WIDINYR  -  Widowed in the past year\n",
      "FERTYR  -  Children born within the last year\n",
      "RACE  -  Race [general version]\n",
      "RACED  -  Race [detailed version]\n",
      "HISPAN  -  Hispanic origin [general version]\n",
      "HISPAND  -  Hispanic origin [detailed version]\n",
      "BPL  -  Birthplace [general version]\n",
      "BPLD  -  Birthplace [detailed version]\n",
      "ANCESTR1  -  Ancestry, first response [general version]\n",
      "ANCESTR1D  -  Ancestry, first response [detailed version]\n",
      "ANCESTR2  -  Ancestry, second response [general version]\n",
      "ANCESTR2D  -  Ancestry, second response [detailed version]\n",
      "CITIZEN  -  Citizenship status\n",
      "YRNATUR  -  Year naturalized\n",
      "YRIMMIG  -  Year of immigration\n",
      "YRSUSA1  -  Years in the United States\n",
      "YRSUSA2  -  Years in the United States, intervalled\n",
      "LANGUAGE  -  Language spoken [general version]\n",
      "LANGUAGED  -  Language spoken [detailed version]\n",
      "SPEAKENG  -  Speaks English\n",
      "TRIBE  -  Tribe [general version]\n",
      "TRIBED  -  Tribe [detailed version]\n",
      "RACAMIND  -  Race: American Indian or Alaska Native\n",
      "RACASIAN  -  Race: Asian\n",
      "RACBLK  -  Race: black or African American\n",
      "RACPACIS  -  Race: Pacific Islander\n",
      "RACWHT  -  Race: white\n",
      "RACOTHER  -  Race: some other race\n",
      "RACNUM  -  Number of major race groups\n",
      "SCHOOL  -  School attendance\n",
      "EDUC  -  Educational attainment [general version]\n",
      "EDUCD  -  Educational attainment [detailed version]\n",
      "GRADEATT  -  Grade level attending [general version]\n",
      "GRADEATTD  -  Grade level attending [detailed version]\n",
      "SCHLTYPE  -  Public or private school\n",
      "DEGFIELD  -  Field of degree [general version]\n",
      "DEGFIELDD  -  Field of degree [detailed version]\n",
      "DEGFIELD2  -  Field of degree (2) [general version]\n",
      "DEGFIELD2D  -  Field of degree (2) [detailed version]\n",
      "EMPSTAT  -  Employment status [general version]\n",
      "EMPSTATD  -  Employment status [detailed version]\n",
      "LABFORCE  -  Labor force status\n",
      "CLASSWKR  -  Class of worker [general version]\n",
      "CLASSWKRD  -  Class of worker [detailed version]\n",
      "OCC  -  Occupation\n",
      "OCC1950  -  Occupation, 1950 basis\n",
      "OCC1990  -  Occupation, 1990 basis\n",
      "OCC2010  -  Occupation, 2010 basis\n",
      "OCCSOC  -  Occupation, SOC classification\n",
      "IND  -  Industry\n",
      "IND1950  -  Industry, 1950 basis\n",
      "IND1990  -  Industry, 1990 basis\n",
      "INDNAICS  -  Industry, NAICS classification\n",
      "WKSWORK1  -  Weeks worked last year\n",
      "WKSWORK2  -  Weeks worked last year, intervalled\n",
      "UHRSWORK  -  Usual hours worked per week\n",
      "ABSENT  -  Absent from work last week\n",
      "LOOKING  -  Looking for work\n",
      "AVAILBLE  -  Available for work\n",
      "WRKRECAL  -  Informed of work recall\n",
      "WORKEDYR  -  Worked last year\n",
      "INCTOT  -  Total personal income\n",
      "FTOTINC  -  Total family income\n",
      "INCWAGE  -  Wage and salary income\n",
      "INCBUS00  -  Business and farm income, 2000\n",
      "INCSS  -  Social Security income\n",
      "INCWELFR  -  Welfare (public assistance) income\n",
      "INCINVST  -  Interest, dividend, and rental income\n",
      "INCRETIR  -  Retirement income\n",
      "INCSUPP  -  Supplementary Security Income\n",
      "INCOTHER  -  Other income\n",
      "INCEARN  -  Total personal earned income\n",
      "POVERTY  -  Poverty status\n",
      "OCCSCORE  -  Occupational income score\n",
      "PRESGL  -  Occupational prestige score, Siegel\n",
      "DIFFREM  -  Cognitive difficulty\n",
      "DIFFPHYS  -  Ambulatory difficulty\n",
      "DIFFMOB  -  Independent living difficulty\n",
      "DIFFCARE  -  Self-care difficulty\n",
      "DIFFSENS  -  Vision or hearing difficulty\n",
      "DIFFEYE  -  Vision difficulty\n",
      "DIFFHEAR  -  Hearing difficulty\n",
      "VETSTAT  -  Veteran status [general version]\n",
      "VETSTATD  -  Veteran status [detailed version]\n",
      "PWSTATE2  -  Place of work: state\n"
     ]
    }
   ],
   "source": [
    "for c in ddi_codebook.data_description:\n",
    "    print(c.name, \" - \", c.label)\n",
    "    # print(\"*\" * 30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "8b850822-9c57-417a-b196-9a3db656ef5c",
   "metadata": {},
   "outputs": [],
   "source": [
    "ipums_df = readers.read_microdata(\n",
    "    ddi_codebook,\n",
    "    data_file_path,\n",
    "    # nrows=None,\n",
    "    subset=acs_xvars,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "c60994e2-102e-46bf-8e83-767dae8226b1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3373378, 112)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ipums_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "36c5ab8b-10f5-4789-b563-f7a2f1f2aac5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
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       "    }\n",
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       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>YEAR</th>\n",
       "      <td>2022</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SAMPLE</th>\n",
       "      <td>202201</td>\n",
       "      <td>202201</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SERIAL</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CBSERIAL</th>\n",
       "      <td>2022010000031</td>\n",
       "      <td>2022010000111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HHWT</th>\n",
       "      <td>69.0</td>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DIFFEYE</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DIFFHEAR</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VETSTAT</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VETSTATD</th>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PWSTATE2</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>112 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                      0              1\n",
       "YEAR               2022           2022\n",
       "SAMPLE           202201         202201\n",
       "SERIAL                1              2\n",
       "CBSERIAL  2022010000031  2022010000111\n",
       "HHWT               69.0           22.0\n",
       "...                 ...            ...\n",
       "DIFFEYE               1              2\n",
       "DIFFHEAR              1              2\n",
       "VETSTAT               1              1\n",
       "VETSTATD             11             11\n",
       "PWSTATE2              0              0\n",
       "\n",
       "[112 rows x 2 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ipums_df.head(2).T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "9e33d42d-6509-4749-8658-2e712bf583c2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# df = IpumsCleaner(ipums_df, ddi_codebook).clean_data()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "18cff556-e475-479f-b454-89f8f981223d",
   "metadata": {},
   "outputs": [
    {
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>LANGUAGE</th>\n",
       "      <th>code</th>\n",
       "      <th>count</th>\n",
       "      <th>Percent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>English</td>\n",
       "      <td>1</td>\n",
       "      <td>2609590</td>\n",
       "      <td>0.773584</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Spanish</td>\n",
       "      <td>12</td>\n",
       "      <td>341936</td>\n",
       "      <td>0.101363</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>N/A or blank</td>\n",
       "      <td>0</td>\n",
       "      <td>155340</td>\n",
       "      <td>0.046049</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Chinese</td>\n",
       "      <td>43</td>\n",
       "      <td>39386</td>\n",
       "      <td>0.011676</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Hindi and related</td>\n",
       "      <td>31</td>\n",
       "      <td>29660</td>\n",
       "      <td>0.008792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Filipino, Tagalog</td>\n",
       "      <td>54</td>\n",
       "      <td>21524</td>\n",
       "      <td>0.006381</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>French</td>\n",
       "      <td>11</td>\n",
       "      <td>17560</td>\n",
       "      <td>0.005205</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Vietnamese</td>\n",
       "      <td>50</td>\n",
       "      <td>16150</td>\n",
       "      <td>0.004787</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>German</td>\n",
       "      <td>2</td>\n",
       "      <td>13638</td>\n",
       "      <td>0.004043</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Dravidian</td>\n",
       "      <td>40</td>\n",
       "      <td>11805</td>\n",
       "      <td>0.003499</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Korean</td>\n",
       "      <td>49</td>\n",
       "      <td>11713</td>\n",
       "      <td>0.003472</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Arabic</td>\n",
       "      <td>57</td>\n",
       "      <td>11055</td>\n",
       "      <td>0.003277</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Russian</td>\n",
       "      <td>18</td>\n",
       "      <td>9115</td>\n",
       "      <td>0.002702</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Portuguese</td>\n",
       "      <td>13</td>\n",
       "      <td>8723</td>\n",
       "      <td>0.002586</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Sub-Saharan Africa</td>\n",
       "      <td>63</td>\n",
       "      <td>6946</td>\n",
       "      <td>0.002059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Italian</td>\n",
       "      <td>10</td>\n",
       "      <td>5534</td>\n",
       "      <td>0.00164</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Japanese</td>\n",
       "      <td>48</td>\n",
       "      <td>4838</td>\n",
       "      <td>0.001434</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Polish</td>\n",
       "      <td>21</td>\n",
       "      <td>4695</td>\n",
       "      <td>0.001392</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Persian, Iranian, Farsi</td>\n",
       "      <td>29</td>\n",
       "      <td>4693</td>\n",
       "      <td>0.001391</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Navajo</td>\n",
       "      <td>75</td>\n",
       "      <td>3480</td>\n",
       "      <td>0.001032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Thai, Siamese, Lao</td>\n",
       "      <td>47</td>\n",
       "      <td>3161</td>\n",
       "      <td>0.000937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Greek</td>\n",
       "      <td>16</td>\n",
       "      <td>2742</td>\n",
       "      <td>0.000813</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Ukrainian, Ruthenian, Little Russian</td>\n",
       "      <td>19</td>\n",
       "      <td>2392</td>\n",
       "      <td>0.000709</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Serbo-Croatian, Yugoslavian, Slavonian</td>\n",
       "      <td>23</td>\n",
       "      <td>2284</td>\n",
       "      <td>0.000677</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Tibetan</td>\n",
       "      <td>44</td>\n",
       "      <td>2230</td>\n",
       "      <td>0.000661</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Hebrew, Israeli</td>\n",
       "      <td>59</td>\n",
       "      <td>2222</td>\n",
       "      <td>0.000659</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Dutch</td>\n",
       "      <td>4</td>\n",
       "      <td>2158</td>\n",
       "      <td>0.00064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Armenian</td>\n",
       "      <td>28</td>\n",
       "      <td>2137</td>\n",
       "      <td>0.000633</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Amharic, Ethiopian, etc.</td>\n",
       "      <td>60</td>\n",
       "      <td>2108</td>\n",
       "      <td>0.000625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Other East/Southeast Asian</td>\n",
       "      <td>51</td>\n",
       "      <td>1901</td>\n",
       "      <td>0.000564</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Rumanian</td>\n",
       "      <td>14</td>\n",
       "      <td>1733</td>\n",
       "      <td>0.000514</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Turkish</td>\n",
       "      <td>36</td>\n",
       "      <td>1694</td>\n",
       "      <td>0.000502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Yiddish, Jewish</td>\n",
       "      <td>3</td>\n",
       "      <td>1672</td>\n",
       "      <td>0.000496</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Burmese, Lisu, Lolo</td>\n",
       "      <td>45</td>\n",
       "      <td>1640</td>\n",
       "      <td>0.000486</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Indonesian</td>\n",
       "      <td>52</td>\n",
       "      <td>1592</td>\n",
       "      <td>0.000472</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Albanian</td>\n",
       "      <td>17</td>\n",
       "      <td>1422</td>\n",
       "      <td>0.000422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Micronesian, Polynesian</td>\n",
       "      <td>55</td>\n",
       "      <td>1241</td>\n",
       "      <td>0.000368</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Native</td>\n",
       "      <td>94</td>\n",
       "      <td>1186</td>\n",
       "      <td>0.000352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Other Balto-Slavic</td>\n",
       "      <td>26</td>\n",
       "      <td>985</td>\n",
       "      <td>0.000292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Hamitic</td>\n",
       "      <td>61</td>\n",
       "      <td>864</td>\n",
       "      <td>0.000256</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>Other Persian dialects</td>\n",
       "      <td>30</td>\n",
       "      <td>856</td>\n",
       "      <td>0.000254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>Magyar, Hungarian</td>\n",
       "      <td>34</td>\n",
       "      <td>803</td>\n",
       "      <td>0.000238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Aleut, Eskimo</td>\n",
       "      <td>71</td>\n",
       "      <td>641</td>\n",
       "      <td>0.00019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>Swedish</td>\n",
       "      <td>5</td>\n",
       "      <td>555</td>\n",
       "      <td>0.000165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>Lithuanian</td>\n",
       "      <td>25</td>\n",
       "      <td>525</td>\n",
       "      <td>0.000156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>Near East Arabic dialect</td>\n",
       "      <td>58</td>\n",
       "      <td>516</td>\n",
       "      <td>0.000153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>Other or not reported</td>\n",
       "      <td>96</td>\n",
       "      <td>497</td>\n",
       "      <td>0.000147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Czech</td>\n",
       "      <td>20</td>\n",
       "      <td>443</td>\n",
       "      <td>0.000131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>Hawaiian</td>\n",
       "      <td>56</td>\n",
       "      <td>372</td>\n",
       "      <td>0.00011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>Norwegian</td>\n",
       "      <td>7</td>\n",
       "      <td>363</td>\n",
       "      <td>0.000108</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                  LANGUAGE  code    count   Percent\n",
       "0                                  English     1  2609590  0.773584\n",
       "1                                  Spanish    12   341936  0.101363\n",
       "2                             N/A or blank     0   155340  0.046049\n",
       "3                                  Chinese    43    39386  0.011676\n",
       "4                        Hindi and related    31    29660  0.008792\n",
       "5                        Filipino, Tagalog    54    21524  0.006381\n",
       "6                                   French    11    17560  0.005205\n",
       "7                               Vietnamese    50    16150  0.004787\n",
       "8                                   German     2    13638  0.004043\n",
       "9                                Dravidian    40    11805  0.003499\n",
       "10                                  Korean    49    11713  0.003472\n",
       "11                                  Arabic    57    11055  0.003277\n",
       "12                                 Russian    18     9115  0.002702\n",
       "13                              Portuguese    13     8723  0.002586\n",
       "14                      Sub-Saharan Africa    63     6946  0.002059\n",
       "15                                 Italian    10     5534   0.00164\n",
       "16                                Japanese    48     4838  0.001434\n",
       "17                                  Polish    21     4695  0.001392\n",
       "18                 Persian, Iranian, Farsi    29     4693  0.001391\n",
       "19                                  Navajo    75     3480  0.001032\n",
       "20                      Thai, Siamese, Lao    47     3161  0.000937\n",
       "21                                   Greek    16     2742  0.000813\n",
       "22    Ukrainian, Ruthenian, Little Russian    19     2392  0.000709\n",
       "23  Serbo-Croatian, Yugoslavian, Slavonian    23     2284  0.000677\n",
       "24                                 Tibetan    44     2230  0.000661\n",
       "25                         Hebrew, Israeli    59     2222  0.000659\n",
       "26                                   Dutch     4     2158   0.00064\n",
       "27                                Armenian    28     2137  0.000633\n",
       "28                Amharic, Ethiopian, etc.    60     2108  0.000625\n",
       "29              Other East/Southeast Asian    51     1901  0.000564\n",
       "30                                Rumanian    14     1733  0.000514\n",
       "31                                 Turkish    36     1694  0.000502\n",
       "32                         Yiddish, Jewish     3     1672  0.000496\n",
       "33                     Burmese, Lisu, Lolo    45     1640  0.000486\n",
       "34                              Indonesian    52     1592  0.000472\n",
       "35                                Albanian    17     1422  0.000422\n",
       "36                 Micronesian, Polynesian    55     1241  0.000368\n",
       "37                                  Native    94     1186  0.000352\n",
       "38                      Other Balto-Slavic    26      985  0.000292\n",
       "39                                 Hamitic    61      864  0.000256\n",
       "40                  Other Persian dialects    30      856  0.000254\n",
       "41                       Magyar, Hungarian    34      803  0.000238\n",
       "42                           Aleut, Eskimo    71      641   0.00019\n",
       "43                                 Swedish     5      555  0.000165\n",
       "44                              Lithuanian    25      525  0.000156\n",
       "45                Near East Arabic dialect    58      516  0.000153\n",
       "46                   Other or not reported    96      497  0.000147\n",
       "47                                   Czech    20      443  0.000131\n",
       "48                                Hawaiian    56      372   0.00011\n",
       "49                               Norwegian     7      363  0.000108"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pt(ddi_codebook, ipums_df, 'LANGUAGE').head(50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "aa2c84cd-0620-4e75-b604-4b36e26aae37",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>HISPAN</th>\n",
       "      <th>code</th>\n",
       "      <th>count</th>\n",
       "      <th>Percent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Not Hispanic</td>\n",
       "      <td>0</td>\n",
       "      <td>2854487</td>\n",
       "      <td>0.846181</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Mexican</td>\n",
       "      <td>1</td>\n",
       "      <td>306729</td>\n",
       "      <td>0.090926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Other</td>\n",
       "      <td>4</td>\n",
       "      <td>143467</td>\n",
       "      <td>0.042529</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Puerto Rican</td>\n",
       "      <td>2</td>\n",
       "      <td>46495</td>\n",
       "      <td>0.013783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Cuban</td>\n",
       "      <td>3</td>\n",
       "      <td>22200</td>\n",
       "      <td>0.006581</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         HISPAN  code    count   Percent\n",
       "0  Not Hispanic     0  2854487  0.846181\n",
       "1       Mexican     1   306729  0.090926\n",
       "2         Other     4   143467  0.042529\n",
       "3  Puerto Rican     2    46495  0.013783\n",
       "4         Cuban     3    22200  0.006581"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pt(ddi_codebook, ipums_df, 'HISPAN')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "0b880773-90d0-48ce-a17b-c2976c781a03",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>LABFORCE</th>\n",
       "      <th>code</th>\n",
       "      <th>count</th>\n",
       "      <th>Percent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Yes, in the labor force</td>\n",
       "      <td>2</td>\n",
       "      <td>1640446</td>\n",
       "      <td>0.486292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>No, not in the labor force</td>\n",
       "      <td>1</td>\n",
       "      <td>1168944</td>\n",
       "      <td>0.34652</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>N/A</td>\n",
       "      <td>0</td>\n",
       "      <td>563988</td>\n",
       "      <td>0.167188</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     LABFORCE  code    count   Percent\n",
       "0     Yes, in the labor force     2  1640446  0.486292\n",
       "1  No, not in the labor force     1  1168944   0.34652\n",
       "2                         N/A     0   563988  0.167188"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pt(ddi_codebook, ipums_df, 'LABFORCE')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "a2fab389-c61d-425c-907c-4f0bc2e2315d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "VariableDescription(id='EDUCD', name='EDUCD', rectype='', codes={'N/A or no schooling': 0, 'N/A': 1, 'No schooling completed': 2, 'Nursery school to grade 4': 10, 'Nursery school, preschool': 11, 'Kindergarten': 12, 'Grade 1, 2, 3, or 4': 13, 'Grade 1': 14, 'Grade 2': 15, 'Grade 3': 16, 'Grade 4': 17, 'Grade 5, 6, 7, or 8': 20, 'Grade 5 or 6': 21, 'Grade 5': 22, 'Grade 6': 23, 'Grade 7 or 8': 24, 'Grade 7': 25, 'Grade 8': 26, 'Grade 9': 30, 'Grade 10': 40, 'Grade 11': 50, 'Grade 12': 60, '12th grade, no diploma': 61, 'High school graduate or GED': 62, 'Regular high school diploma': 63, 'GED or alternative credential': 64, 'Some college, but less than 1 year': 65, '1 year of college': 70, '1 or more years of college credit, no degree': 71, '2 years of college': 80, \"Associate's degree, type not specified\": 81, \"Associate's degree, occupational program\": 82, \"Associate's degree, academic program\": 83, '3 years of college': 90, '4 years of college': 100, \"Bachelor's degree\": 101, '5+ years of college': 110, '6 years of college (6+ in 1960-1970)': 111, '7 years of college': 112, '8+ years of college': 113, \"Master's degree\": 114, \"Professional degree beyond a bachelor's degree\": 115, 'Doctoral degree': 116, 'Missing': 999}, start=196, end=199, label='Educational attainment [detailed version]', description=\"EDUC indicates respondents' educational attainment, as measured by the highest year of school or degree completed. Note that completion differs from the highest year of school attendance; for example, respondents who attended 10th grade but did not finish were classified in EDUC as having completed 9th grade. For additional detail on grade attendance, see GRADEATT as well as the detailed version of HIGRADE.\", concept='Education Variables -- PERSON', vartype='numeric', notes='', shift=0)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ddi_codebook.get_variable_info('EDUCD')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "5a8cf568-6fdf-4737-8463-cb845d3c488d",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = IpumsAcsCleaner(ipums_df, ddi_codebook=ddi_codebook).clean_data()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "9e182042-8f82-4ae5-ab4f-5820e6e7f10f",
   "metadata": {},
   "outputs": [
    {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>YEAR</th>\n",
       "      <th>SAMPLE</th>\n",
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       "      <th>CBSERIAL</th>\n",
       "      <th>HHWT</th>\n",
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       "      <th>...</th>\n",
       "      <th>Degree</th>\n",
       "      <th>Industry</th>\n",
       "      <th>Hispanic</th>\n",
       "      <th>Language Spoken</th>\n",
       "      <th>Labor Force</th>\n",
       "      <th>Speak English</th>\n",
       "      <th>Hispanic or Not</th>\n",
       "      <th>Race</th>\n",
       "      <th>Birthplace</th>\n",
       "      <th>Educational Attainment</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2022</td>\n",
       "      <td>202201</td>\n",
       "      <td>1</td>\n",
       "      <td>2022010000031</td>\n",
       "      <td>69.0</td>\n",
       "      <td>2022000000011</td>\n",
       "      <td>41</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>N/A</td>\n",
       "      <td>N/A (not applicable)</td>\n",
       "      <td>Not Hispanic</td>\n",
       "      <td>English</td>\n",
       "      <td>No, not in the labor force</td>\n",
       "      <td>Yes, speaks only English</td>\n",
       "      <td>Not Hispanic</td>\n",
       "      <td>Two major races</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>High school diploma or equivalent</td>\n",
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       "      <td>2022010000111</td>\n",
       "      <td>22.0</td>\n",
       "      <td>2022000000021</td>\n",
       "      <td>41</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>N/A</td>\n",
       "      <td>Department stores</td>\n",
       "      <td>Not Hispanic</td>\n",
       "      <td>English</td>\n",
       "      <td>No, not in the labor force</td>\n",
       "      <td>Yes, speaks only English</td>\n",
       "      <td>Not Hispanic</td>\n",
       "      <td>White</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>High school diploma or equivalent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2022</td>\n",
       "      <td>202201</td>\n",
       "      <td>3</td>\n",
       "      <td>2022010000200</td>\n",
       "      <td>45.0</td>\n",
       "      <td>2022000000031</td>\n",
       "      <td>41</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>N/A</td>\n",
       "      <td>Meat products</td>\n",
       "      <td>Not Hispanic</td>\n",
       "      <td>English</td>\n",
       "      <td>No, not in the labor force</td>\n",
       "      <td>Yes, speaks only English</td>\n",
       "      <td>Not Hispanic</td>\n",
       "      <td>Black/African American</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Less than High School Diploma</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022</td>\n",
       "      <td>202201</td>\n",
       "      <td>4</td>\n",
       "      <td>2022010000261</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2022000000041</td>\n",
       "      <td>41</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>N/A</td>\n",
       "      <td>N/A (not applicable)</td>\n",
       "      <td>Not Hispanic</td>\n",
       "      <td>English</td>\n",
       "      <td>No, not in the labor force</td>\n",
       "      <td>Yes, speaks only English</td>\n",
       "      <td>Not Hispanic</td>\n",
       "      <td>Black/African American</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Less than High School Diploma</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022</td>\n",
       "      <td>202201</td>\n",
       "      <td>5</td>\n",
       "      <td>2022010000296</td>\n",
       "      <td>47.0</td>\n",
       "      <td>2022000000051</td>\n",
       "      <td>41</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>N/A</td>\n",
       "      <td>All construction</td>\n",
       "      <td>Not Hispanic</td>\n",
       "      <td>English</td>\n",
       "      <td>No, not in the labor force</td>\n",
       "      <td>Yes, speaks only English</td>\n",
       "      <td>Not Hispanic</td>\n",
       "      <td>White</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>High school diploma or equivalent</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 126 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   YEAR  SAMPLE  SERIAL       CBSERIAL  HHWT        CLUSTER  STATEICP  \\\n",
       "0  2022  202201       1  2022010000031  69.0  2022000000011        41   \n",
       "1  2022  202201       2  2022010000111  22.0  2022000000021        41   \n",
       "2  2022  202201       3  2022010000200  45.0  2022000000031        41   \n",
       "3  2022  202201       4  2022010000261   4.0  2022000000041        41   \n",
       "4  2022  202201       5  2022010000296  47.0  2022000000051        41   \n",
       "\n",
       "   STATEFIP  METRO  CITY  ...  Degree              Industry      Hispanic  \\\n",
       "0         1      4     0  ...     N/A  N/A (not applicable)  Not Hispanic   \n",
       "1         1      0     0  ...     N/A     Department stores  Not Hispanic   \n",
       "2         1      4     0  ...     N/A         Meat products  Not Hispanic   \n",
       "3         1      0     0  ...     N/A  N/A (not applicable)  Not Hispanic   \n",
       "4         1      3     0  ...     N/A      All construction  Not Hispanic   \n",
       "\n",
       "   Language Spoken                 Labor Force             Speak English  \\\n",
       "0          English  No, not in the labor force  Yes, speaks only English   \n",
       "1          English  No, not in the labor force  Yes, speaks only English   \n",
       "2          English  No, not in the labor force  Yes, speaks only English   \n",
       "3          English  No, not in the labor force  Yes, speaks only English   \n",
       "4          English  No, not in the labor force  Yes, speaks only English   \n",
       "\n",
       "   Hispanic or Not                    Race  Birthplace  \\\n",
       "0     Not Hispanic         Two major races     Alabama   \n",
       "1     Not Hispanic                   White     Alabama   \n",
       "2     Not Hispanic  Black/African American     Alabama   \n",
       "3     Not Hispanic  Black/African American     Alabama   \n",
       "4     Not Hispanic                   White     Alabama   \n",
       "\n",
       "              Educational Attainment  \n",
       "0  High school diploma or equivalent  \n",
       "1  High school diploma or equivalent  \n",
       "2      Less than High School Diploma  \n",
       "3      Less than High School Diploma  \n",
       "4  High school diploma or equivalent  \n",
       "\n",
       "[5 rows x 126 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "e3190ec7-5eac-4beb-b492-509e387b8b94",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Hispanic or Not</th>\n",
       "      <th>count</th>\n",
       "      <th>Percent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Not Hispanic</td>\n",
       "      <td>2854487</td>\n",
       "      <td>0.846181</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Hispanic</td>\n",
       "      <td>518891</td>\n",
       "      <td>0.153819</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Hispanic or Not    count   Percent\n",
       "0    Not Hispanic  2854487  0.846181\n",
       "1        Hispanic   518891  0.153819"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pt(None, df, 'Hispanic or Not')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "a6eb3a97-cd3b-4441-98d6-9e177f328953",
   "metadata": {},
   "outputs": [],
   "source": [
    "from src.pyipums.clean_data import map_codes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "fe2bdc76-65ab-41eb-b328-65b47acb9e87",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Degree'] = map_codes(ddi_codebook, df, 'DEGFIELDD')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "86066ccf-f6fe-44ff-87c5-3ef09e30142a",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Race Simple']  = np.where(df['Race'].str.contains('Two major races|Other race, nec|Three or more major races'), \n",
    "                              'Other', df['Race'])\n",
    "\n",
    "df.loc[df['Race'].str.contains('Chinese'), 'Race Simple']  = 'Asian'\n",
    "df.loc[df['Race'].str.contains('Japanese'), 'Race Simple']  = 'Asian'\n",
    "df.loc[df['Race'].str.contains('Other Asian or Pacific Islander'), 'Race Simple']  = 'Asian'\n",
    "df.loc[df['Race'].str.contains('American Indian or Alaska Native'), 'Race Simple']  = 'Native American'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "481c6ba4-ba3b-49b7-8d7f-fa998e0ef9e4",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Race x Hispanic or Not']  = df['Race Simple'] + \"+ \\n \" + df['Hispanic or Not']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "cdbcbea8-9f26-4b2d-b58d-f0b02bbdc72a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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MGBDj92d06tWrZ/niiy9eu99isVjCw8MtnTt3tuTLl89y9OhRi8VisQQGBhp98VW//vqrxcXFxXLw4MFo6zpy5IilQIEC0b42t2/fNu5VhQoV3vjes1gslvnz51vc3Nwsd+/etVgsFsuzZ88shQsXtgwYMMCqnK+vr6V+/fpvrOvvNm3aZClZsqTRHg8PD0urVq0sP/30U4yOHz9+vKVAgQLG8SVKlLD07NnTuH+RevToEeV13bRpk8XFxcVy+PBhi8Xyf+/7nTt3GmUi7/+yZcuMbRs3brS4uLgY/SvyuFWrVhllgoODLd7e3pZu3bpZLJaov6Ni8rs40pYtWywuLi6W8+fPx+ieAEBcY2QQAADvYf/+/cqfP7/xVbJkSfXo0UPu7u4aM2aMbGxsdPHiRd26dUs+Pj5Wox2KFSum5MmT69dff7WqM1++fMb3R44c0YsXL1S5cmWrMgMGDNDMmTMVHByso0ePqmzZsrJYLEbdWbJkUa5cuaLU7enpaXxvb28vJyent06FedW+ffskSdWrV7faXr16ddna2r7Tk6xiurD2q+VcXFy0evVqLV++XN26dVOJEiV07tw5jRw5UnXq1IkyHSM6r75eRYoUkb+/v0JDQzV58mSlT59ez5490/Hjx1WtWjWrdU1Spkyp8uXLG/cg0qsjFSSpcuXKunv3rjHa6F3ly5dP33//vTJlyqTLly9r586dmjVrli5evBjjJ0S96zW82i+kl2v2xKRf+Pr6Wv1csWJFnTx5Uk+fPlWKFClUuXJlY2FlSVq1apV8fX2VNGnSN9bboEEDLV++XMuWLdOQIUOUMmVKeXt7a/LkyVbvj1KlSmnhwoVKkiSJzp8/r59//lnfffedgoKCjHt18OBBSYryHpo0aZKGDBnyzu/PV127dk2ZM2d+7f6wsDB9+eWX2rRpk/r372+MroluCtWrEiWK+r/oBw8e1Oeff67MmTMb6wO9KmnSpJo7d67Gjx8ve3t7NWzYULdv337tOVasWKESJUrI3t5ejx49UlhYmHx8fLRu3Tqrp5XZ2trGaMrgqypXrqwdO3Zo5syZatWqlXLlyqU9e/aoW7du6tKlyxtHW0lS165d9csvv2jMmDGqV6+ekidPrrVr1xoLSEcaM2aMmjdvrqCgIB04cEArVqww+tvf3yuFCxc2vk+XLp0kqWDBgsa21KlTS5IePXpkbEucOLHVNL2kSZOqTJky2r9/f5Q2v+vv4sh+Ex9P5AOAmGABaQAA3kP+/Pk1ePBgSS9DiyRJksjZ2VnJkyc3ykQupjx48GCj7Kvu3Llj9XOyZMmiHOvk5BTt+R89emQsNDtjxowo+5MkSWL1898/hCdKlOitH8xe9fDhQ0mK8iSnxIkTK02aNHr8+HGM64qcKvK6gCNye3RTSgoUKKACBQroiy++UHBwsGbPnq2JEydqxowZVo9bj87y5cuN7+3s7JQ+fXqlTZvW2Pb48WNZLBbjA+Or0qVLF+UaX10bRpJR18OHD2P9xKs5c+Zo2rRpevDggdKlSyd3d3c5ODjE+P6+6zXEtl/8vf60adPKYrHoyZMnSpYsmerVq6c1a9bowIEDsrW11eXLlzVixIi31vvRRx+pQIECkl5OLcqSJYtatmypbt26afr06UZAGBERobFjx2rRokV69uyZnJ2d5eHhYdXvI99Dr77Gr3rX9+ernjx58topT48ePVKnTp20f/9+DRw40GrB6xQpUkiSnj59qlSpUlnV9+r+SD/99JP69Omj7Nmza+bMmUqTJk2U86VMmVJeXl6SXr4/KlasqGXLlkX7dMCTJ08aU52KFSsWZf+aNWvUuHFjSdLHH3+sY8eOvfYeSC+n/zk7O1tts7OzU+nSpVW6dGlJLx9N/80332jTpk3asWOHypcv/8Y6U6VKpRo1ahhhzMmTJ/Xll19q1KhRqlmzptKkSaPjx49r8ODBOn78uBwcHJQ7d259/PHHkhSl/776OznSm6arSS/796uLWEsv+1Fkn3nVu/4ujjz3u/zOBIC4RBgEAMB7SJYsmfGh9XUi1+0ICAgwHiv9qlc/DL7u2KCgIGNdEOnl2kJXr16Vu7u7bGxs1KJFiyijdaS3f9h5V5FtvXv3rjJlymRsDwsL0/3796P9kPo6kUHJ6z5s37p1S/b29sY5R4wYoe3bt2vjxo1W5RwcHNSxY0dt3rxZ58+ff+t53/Z6pUiRQjY2NsZCuK+6e/euMYIg0v379421hiTpr7/+kvTyQ2NkaPH3kRVvGnWzdu1aDR8+XF9++aX8/PyMILBr1646fvz4G9se22uIrYcPH1oFQvfu3ZOtra3xmhUvXlxZs2bVxo0blShRIuXMmTNWTzzz8vJS48aNtWjRIi1dulQNGzaUJE2fPl1z587V4MGDVblyZSNEqVevnnHsq++hjBkzGtsvXLigBw8evNf7M3Xq1NF+mL9165Zatmyp69eva+zYsVaLHktSjhw5JElXrlyxWovnypUrsrOzs3oC36xZszRq1CgVL15cU6ZMsQqKwsPDjad2ubm5GdszZ86sVKlSvfa9tXLlSjk6Omrq1KlRRiF99dVXWrJkiREGlS5dWtu3b9fx48ejfe+cOnVKtWvXVt++fdWiRQs1atRIOXLkiDJ6KUOGDPr222+N92l0YdDt27dVt25dde3aNcpTzdzc3NS9e3d17NhR165dk52dnT7//HO5urpq/fr1ypkzpxIlSqSdO3dq06ZN0V73u4ou9Ll37160wWKyZMne6XdxZLD+Lr8zASAuMU0MAIB4ljNnTqVNm1bXr183RrQUKFBAGTJk0JgxY3Ty5MnXHuvh4SE7Oztt377davvs2bPVo0cPOTo6ys3NTRcvXrSqO0+ePJo0adI7TduSop+e8qrID8vr16+32r5+/XqFh4dHWez2TTJmzKisWbNqw4YNUfaFh4dr69atKlasmDHNKUeOHLp06ZLVE6siPX36VHfu3JGLi0uMz/86jo6Ocnd314YNG6xCnMePH2vHjh2vXdA30saNG5UpUyZlzZrVGI3w6nSdsLCwN460OHjwoFKmTKnPP//cCIKePn2qgwcPWk0vetNr9a7XEFs7duwwvo+IiNDGjRtVsGBBY6SRjY2N/Pz8tHXrVm3bti3KlLp30b17d6VLl05jx441PqQfPHhQuXPnVt26dY2Q5Pbt2zp79qxxryKvddu2bVb1jR49Wt9+++17vT8zZcqkP//802rbkydP1Lx5c925c0dz5syJEgRJL6flOTo6WoUWFotFW7ZsUfHixWVvby9JWrx4sUaOHKlq1app5syZUUYM2draasyYMRozZozV9j/++EMPHjyI9qmAoaGhWrt2rXx8fOTl5aUSJUpYfdWuXVunT5/WkSNHJEmffvqp0qdPr2HDhkVZBDk8PFyjR4+WnZ2dcZ2ZMmXSxo0bjaedvSpy6uTr3qeRI3G+//574+mEr7p48aKSJEmibNmy6eLFi3rw4IGaNWum3LlzG++HXbt2SXr7VLyYCAkJMRbYj/x5165dxgisVyVPnvydfhdH/k6IHMkEAP80RgYBABDPbG1t1b17d3311VeytbVV+fLl9ejRI02dOlW3b9+O9klQkZycnNSsWTPNnTtX9vb2Kl68uI4ePaoffvhBAQEBSpQokXr06KG2bduqZ8+e+vTTTxUeHq7Zs2fr6NGj6tChwzu1NWXKlDp06JD279+vokWLRlnXJ3fu3KpTp44mTpyo4OBgFStWTKdOndLkyZNVokQJY0pITPXq1UvdunVT+/btVbduXaVJk0Z37tzR4sWLdePGDQ0fPtwoW7t2ba1du1YBAQHau3evypYtq5QpU+ry5cuaP3++kiZNqlatWr3T+V+nZ8+eat26tdq2bavGjRsrLCxM06dPV2hoqDp27GhVds6cOUqSJIkKFSqkzZs3a/v27caH81SpUsnT01MLFixQtmzZlCpVKs2fP18hISFydHSM9tweHh764YcfNHz4cJUvX1537tzRrFmzdO/ePatRKilTptThw4f122+/WY0Kic01xNb48eMVHh4uZ2dn/fDDD7p06VKUx2X7+flp0qRJkqRatWrF+lwpUqRQ9+7d1b9/f02YMEGDBg2Sh4eHpk6dqunTp6tQoUK6cuWKAgMDFRoaajxNKm/evKpatapGjRqlkJAQ5cuXT7t27dL27ds1efLk93p/ent76/vvv5fFYjHeKxMnTtTly5fVuXNnJU6c2AhVpJfrdLm5ucnBwUGtWrXSlClTZGdnJ09PT61YsUJ//PGHsSbO3bt3NWzYMGXKlEn+/v5RQqmsWbPKyclJnTt3Vu/evTVo0CBVrVpV165d08SJE+Xi4qK6detGafPWrVv14MGDKI+sj1SrVi1NmDBBixcvVqFChZQiRQoNHz5cnTp1Uv369dWkSRNlz55dt27d0qJFi3Ts2DGNGTPGmC7ZvXt37d27V/Xq1VOzZs3k6empRIkS6fjx45o9e7bKlCmjMmXKRHtuW1tbff311+rYsaPq1q0rf39/5cqVS8HBwfr111+1aNEide3aValSpVKOHDmUPHlyTZs2TYkTJ1bixIm1adMmYxroq08Tex99+/ZVt27dlDZtWs2aNUvPnj0znpb4d+/yu/jgwYPKnDmzMUoMAP5phEEAAPwD6tevr2TJkmnmzJlasmSJHB0dVbhwYY0ePdpqSkh0vvzyS6VNm1aLFy/WzJkzlTlzZg0cOFCNGjWS9HIR3VmzZmny5Mnq0qWL7OzslD9/fs2ZM+edp+S0b99eU6dOVZs2bfTTTz9F+1frb7/9VtmyZdOKFSs0Y8YMffTRR2rWrJk6dOjw1pFFf1elShXNnj1bc+fO1aBBg/To0SM5OTmpWLFiWrp0qfEobunlB+lZs2Zp/vz52rhxo9avX6+QkBB99NFH8vHx0RdffPHadWHelZeXl+bMmaOJEyeqR48esre3V9GiRTVixAirNklSv379tGrVKgUGBipnzpyaOHGiqlS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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ptbarplot(None, \n",
    "          df, \n",
    "          'Race Simple', \n",
    "          'PERWT', \n",
    "          xlabel='Percent of ACS Sample (Person Weighted)', \n",
    "          ylabel='Race', \n",
    "          title='Percent of US Population by Race (2023 ACS Sample)',\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "d883ee2f-0616-479d-ae3a-716121188e79",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Race x Hispanic or Not</th>\n",
       "      <th>count</th>\n",
       "      <th>raw_count</th>\n",
       "      <th>raw_percent</th>\n",
       "      <th>Percent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>White+ \\n Not Hispanic</td>\n",
       "      <td>192159103.0</td>\n",
       "      <td>2155253</td>\n",
       "      <td>0.638901</td>\n",
       "      <td>0.576556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Other+ \\n Hispanic</td>\n",
       "      <td>49965106.0</td>\n",
       "      <td>400353</td>\n",
       "      <td>0.118680</td>\n",
       "      <td>0.149916</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Black/African American+ \\n Not Hispanic</td>\n",
       "      <td>39588212.0</td>\n",
       "      <td>292633</td>\n",
       "      <td>0.086748</td>\n",
       "      <td>0.118781</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Asian+ \\n Not Hispanic</td>\n",
       "      <td>19830945.0</td>\n",
       "      <td>207145</td>\n",
       "      <td>0.061406</td>\n",
       "      <td>0.059501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Other+ \\n Not Hispanic</td>\n",
       "      <td>16415289.0</td>\n",
       "      <td>169318</td>\n",
       "      <td>0.050192</td>\n",
       "      <td>0.049253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>White+ \\n Hispanic</td>\n",
       "      <td>10726673.0</td>\n",
       "      <td>94323</td>\n",
       "      <td>0.027961</td>\n",
       "      <td>0.032184</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Native American+ \\n Not Hispanic</td>\n",
       "      <td>1744795.0</td>\n",
       "      <td>30138</td>\n",
       "      <td>0.008934</td>\n",
       "      <td>0.005235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Native American+ \\n Hispanic</td>\n",
       "      <td>1477015.0</td>\n",
       "      <td>13206</td>\n",
       "      <td>0.003915</td>\n",
       "      <td>0.004432</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Black/African American+ \\n Hispanic</td>\n",
       "      <td>1030894.0</td>\n",
       "      <td>7887</td>\n",
       "      <td>0.002338</td>\n",
       "      <td>0.003093</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Asian+ \\n Hispanic</td>\n",
       "      <td>349530.0</td>\n",
       "      <td>3122</td>\n",
       "      <td>0.000925</td>\n",
       "      <td>0.001049</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Race x Hispanic or Not        count  raw_count  \\\n",
       "0                   White+ \\n Not Hispanic  192159103.0    2155253   \n",
       "1                       Other+ \\n Hispanic   49965106.0     400353   \n",
       "2  Black/African American+ \\n Not Hispanic   39588212.0     292633   \n",
       "3                   Asian+ \\n Not Hispanic   19830945.0     207145   \n",
       "4                   Other+ \\n Not Hispanic   16415289.0     169318   \n",
       "5                       White+ \\n Hispanic   10726673.0      94323   \n",
       "6         Native American+ \\n Not Hispanic    1744795.0      30138   \n",
       "7             Native American+ \\n Hispanic    1477015.0      13206   \n",
       "8      Black/African American+ \\n Hispanic    1030894.0       7887   \n",
       "9                       Asian+ \\n Hispanic     349530.0       3122   \n",
       "\n",
       "   raw_percent   Percent  \n",
       "0     0.638901  0.576556  \n",
       "1     0.118680  0.149916  \n",
       "2     0.086748  0.118781  \n",
       "3     0.061406  0.059501  \n",
       "4     0.050192  0.049253  \n",
       "5     0.027961  0.032184  \n",
       "6     0.008934  0.005235  \n",
       "7     0.003915  0.004432  \n",
       "8     0.002338  0.003093  \n",
       "9     0.000925  0.001049  "
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pt(None, \n",
    "          df, \n",
    "          'Race x Hispanic or Not', \n",
    "          'PERWT', \n",
    "         )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "a0c34c66-ba39-4a5b-8ef6-05ded4209749",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ptbarplot(None, \n",
    "          df, \n",
    "          'Race x Hispanic or Not', \n",
    "          'PERWT', \n",
    "          color='red',\n",
    "          xlabel='Percent of ACS Sample (Person Weighted)', \n",
    "          ylabel='Race x Hispanic or Not', \n",
    "          title='Percent of US Population by Race and Hispanic Response (2023 ACS Sample)',\n",
    ")\n",
    "# ptbarplot(None, df, 'Race x Hispanic or Not', 'PERWT', color='red')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "99c06446-e186-4353-980e-e3efb97835f2",
   "metadata": {},
   "outputs": [],
   "source": [
    "x = pt(ddi_codebook, df, 'STATEFIP', 'PERWT')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "a55f618f-0962-410a-aabc-0757ff7c6c24",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>STATEFIP</th>\n",
       "      <th>code</th>\n",
       "      <th>count</th>\n",
       "      <th>raw_count</th>\n",
       "      <th>raw_percent</th>\n",
       "      <th>Percent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>California</td>\n",
       "      <td>6</td>\n",
       "      <td>39029342.0</td>\n",
       "      <td>391171</td>\n",
       "      <td>0.115958</td>\n",
       "      <td>0.117104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Texas</td>\n",
       "      <td>48</td>\n",
       "      <td>30029572.0</td>\n",
       "      <td>292919</td>\n",
       "      <td>0.086833</td>\n",
       "      <td>0.090101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Florida</td>\n",
       "      <td>12</td>\n",
       "      <td>22244823.0</td>\n",
       "      <td>217799</td>\n",
       "      <td>0.064564</td>\n",
       "      <td>0.066744</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>New York</td>\n",
       "      <td>36</td>\n",
       "      <td>19677151.0</td>\n",
       "      <td>203891</td>\n",
       "      <td>0.060441</td>\n",
       "      <td>0.059040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Pennsylvania</td>\n",
       "      <td>42</td>\n",
       "      <td>12972008.0</td>\n",
       "      <td>132605</td>\n",
       "      <td>0.039309</td>\n",
       "      <td>0.038921</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       STATEFIP  code       count  raw_count  raw_percent   Percent\n",
       "0    California     6  39029342.0     391171     0.115958  0.117104\n",
       "1         Texas    48  30029572.0     292919     0.086833  0.090101\n",
       "2       Florida    12  22244823.0     217799     0.064564  0.066744\n",
       "3      New York    36  19677151.0     203891     0.060441  0.059040\n",
       "4  Pennsylvania    42  12972008.0     132605     0.039309  0.038921"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "1e338529-2214-4b89-a98d-9735223518ae",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.33298838796750535"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x['Percent'][0:4].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "ab658ae2-70db-41f8-ad2e-36e5976f3d95",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ptbarplot(ddi_codebook, \n",
    "          df, \n",
    "          'STATEFIP', \n",
    "          'PERWT', \n",
    "          color='green',\n",
    "          xlabel='Percent of ACS Sample (Person Weighted)', \n",
    "          ylabel='Race x Hispanic or Not', \n",
    "          title='Percent of US Population by Race and Hispanic Response (2023 ACS Sample)',\n",
    ")\n",
    "# ptbarplot(None, df, 'Race x Hispanic or Not', 'PERWT', color='red')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "0e07d8ad-e540-4b70-b244-97e4aff9e35c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Race x Hispanic or Not</th>\n",
       "      <th>count</th>\n",
       "      <th>raw_count</th>\n",
       "      <th>raw_percent</th>\n",
       "      <th>Percent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>White+ \\n Not Hispanic</td>\n",
       "      <td>192159103.0</td>\n",
       "      <td>2155253</td>\n",
       "      <td>0.638901</td>\n",
       "      <td>0.576556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Other+ \\n Hispanic</td>\n",
       "      <td>49965106.0</td>\n",
       "      <td>400353</td>\n",
       "      <td>0.118680</td>\n",
       "      <td>0.149916</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Black/African American+ \\n Not Hispanic</td>\n",
       "      <td>39588212.0</td>\n",
       "      <td>292633</td>\n",
       "      <td>0.086748</td>\n",
       "      <td>0.118781</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Asian+ \\n Not Hispanic</td>\n",
       "      <td>19830945.0</td>\n",
       "      <td>207145</td>\n",
       "      <td>0.061406</td>\n",
       "      <td>0.059501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Other+ \\n Not Hispanic</td>\n",
       "      <td>16415289.0</td>\n",
       "      <td>169318</td>\n",
       "      <td>0.050192</td>\n",
       "      <td>0.049253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>White+ \\n Hispanic</td>\n",
       "      <td>10726673.0</td>\n",
       "      <td>94323</td>\n",
       "      <td>0.027961</td>\n",
       "      <td>0.032184</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Native American+ \\n Not Hispanic</td>\n",
       "      <td>1744795.0</td>\n",
       "      <td>30138</td>\n",
       "      <td>0.008934</td>\n",
       "      <td>0.005235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Native American+ \\n Hispanic</td>\n",
       "      <td>1477015.0</td>\n",
       "      <td>13206</td>\n",
       "      <td>0.003915</td>\n",
       "      <td>0.004432</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Black/African American+ \\n Hispanic</td>\n",
       "      <td>1030894.0</td>\n",
       "      <td>7887</td>\n",
       "      <td>0.002338</td>\n",
       "      <td>0.003093</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Asian+ \\n Hispanic</td>\n",
       "      <td>349530.0</td>\n",
       "      <td>3122</td>\n",
       "      <td>0.000925</td>\n",
       "      <td>0.001049</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Race x Hispanic or Not        count  raw_count  \\\n",
       "0                   White+ \\n Not Hispanic  192159103.0    2155253   \n",
       "1                       Other+ \\n Hispanic   49965106.0     400353   \n",
       "2  Black/African American+ \\n Not Hispanic   39588212.0     292633   \n",
       "3                   Asian+ \\n Not Hispanic   19830945.0     207145   \n",
       "4                   Other+ \\n Not Hispanic   16415289.0     169318   \n",
       "5                       White+ \\n Hispanic   10726673.0      94323   \n",
       "6         Native American+ \\n Not Hispanic    1744795.0      30138   \n",
       "7             Native American+ \\n Hispanic    1477015.0      13206   \n",
       "8      Black/African American+ \\n Hispanic    1030894.0       7887   \n",
       "9                       Asian+ \\n Hispanic     349530.0       3122   \n",
       "\n",
       "   raw_percent   Percent  \n",
       "0     0.638901  0.576556  \n",
       "1     0.118680  0.149916  \n",
       "2     0.086748  0.118781  \n",
       "3     0.061406  0.059501  \n",
       "4     0.050192  0.049253  \n",
       "5     0.027961  0.032184  \n",
       "6     0.008934  0.005235  \n",
       "7     0.003915  0.004432  \n",
       "8     0.002338  0.003093  \n",
       "9     0.000925  0.001049  "
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pt(None, df, 'Race x Hispanic or Not', 'PERWT').head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "c9160f52-fd97-4704-ad14-f7015e487b09",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Race</th>\n",
       "      <th>count</th>\n",
       "      <th>raw_count</th>\n",
       "      <th>raw_percent</th>\n",
       "      <th>Percent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>White</td>\n",
       "      <td>202885776.0</td>\n",
       "      <td>2249576</td>\n",
       "      <td>0.666862</td>\n",
       "      <td>0.608741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Black/African American</td>\n",
       "      <td>40619106.0</td>\n",
       "      <td>300520</td>\n",
       "      <td>0.089086</td>\n",
       "      <td>0.121874</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Two major races</td>\n",
       "      <td>38989535.0</td>\n",
       "      <td>348782</td>\n",
       "      <td>0.103393</td>\n",
       "      <td>0.116985</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Other race, nec</td>\n",
       "      <td>24388197.0</td>\n",
       "      <td>193674</td>\n",
       "      <td>0.057412</td>\n",
       "      <td>0.073175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Other Asian or Pacific Islander</td>\n",
       "      <td>14945165.0</td>\n",
       "      <td>150747</td>\n",
       "      <td>0.044687</td>\n",
       "      <td>0.044842</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Chinese</td>\n",
       "      <td>4507003.0</td>\n",
       "      <td>51099</td>\n",
       "      <td>0.015148</td>\n",
       "      <td>0.013523</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>American Indian or Alaska Native</td>\n",
       "      <td>3221810.0</td>\n",
       "      <td>43344</td>\n",
       "      <td>0.012849</td>\n",
       "      <td>0.009667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Three or more major races</td>\n",
       "      <td>3002663.0</td>\n",
       "      <td>27215</td>\n",
       "      <td>0.008068</td>\n",
       "      <td>0.009009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Japanese</td>\n",
       "      <td>728307.0</td>\n",
       "      <td>8421</td>\n",
       "      <td>0.002496</td>\n",
       "      <td>0.002185</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                               Race        count  raw_count  raw_percent  \\\n",
       "0                             White  202885776.0    2249576     0.666862   \n",
       "1            Black/African American   40619106.0     300520     0.089086   \n",
       "2                   Two major races   38989535.0     348782     0.103393   \n",
       "3                   Other race, nec   24388197.0     193674     0.057412   \n",
       "4   Other Asian or Pacific Islander   14945165.0     150747     0.044687   \n",
       "5                           Chinese    4507003.0      51099     0.015148   \n",
       "6  American Indian or Alaska Native    3221810.0      43344     0.012849   \n",
       "7         Three or more major races    3002663.0      27215     0.008068   \n",
       "8                          Japanese     728307.0       8421     0.002496   \n",
       "\n",
       "    Percent  \n",
       "0  0.608741  \n",
       "1  0.121874  \n",
       "2  0.116985  \n",
       "3  0.073175  \n",
       "4  0.044842  \n",
       "5  0.013523  \n",
       "6  0.009667  \n",
       "7  0.009009  \n",
       "8  0.002185  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pt(None, df, 'Race', 'PERWT').head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "5da840b2-318c-42f9-afd3-df9c934e9818",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Degree</th>\n",
       "      <th>count</th>\n",
       "      <th>Percent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>N/A</td>\n",
       "      <td>2456369</td>\n",
       "      <td>0.728418</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Business Management and Administration</td>\n",
       "      <td>52737</td>\n",
       "      <td>0.015639</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Psychology</td>\n",
       "      <td>41403</td>\n",
       "      <td>0.012278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Nursing</td>\n",
       "      <td>40262</td>\n",
       "      <td>0.011939</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>General Business</td>\n",
       "      <td>38330</td>\n",
       "      <td>0.011366</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>General Education</td>\n",
       "      <td>34375</td>\n",
       "      <td>0.010194</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Accounting</td>\n",
       "      <td>32513</td>\n",
       "      <td>0.009641</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Elementary Education</td>\n",
       "      <td>31902</td>\n",
       "      <td>0.009460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Biology</td>\n",
       "      <td>30933</td>\n",
       "      <td>0.009173</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>English Language and Literature</td>\n",
       "      <td>26965</td>\n",
       "      <td>0.007996</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                   Degree    count   Percent\n",
       "0                                     N/A  2456369  0.728418\n",
       "1  Business Management and Administration    52737  0.015639\n",
       "2                              Psychology    41403  0.012278\n",
       "3                                 Nursing    40262  0.011939\n",
       "4                        General Business    38330  0.011366\n",
       "5                       General Education    34375  0.010194\n",
       "6                              Accounting    32513  0.009641\n",
       "7                    Elementary Education    31902  0.009460\n",
       "8                                 Biology    30933  0.009173\n",
       "9         English Language and Literature    26965  0.007996"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pt(None, df, 'Degree').head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "f1ebc688-5f91-48e2-bd65-c3d05cbbcb4d",
   "metadata": {},
   "outputs": [],
   "source": [
    "def ptbarplot2(xdf, col, gvar, wvar, colors=['red', 'blue'], title='', sort_var='Percent_x', ascending=True, labels=None, ddi=None, n=10, output=False, fmt=\"%.1f%%\", fontsize=10):\n",
    "    if labels is None:\n",
    "        labels = sorted(list(xdf[col].unique()))\n",
    "\n",
    "    for i, label in enumerate(labels):\n",
    "        if i==0:\n",
    "            tm = pt(ddi, xdf[xdf[col]==label], gvar, wvar)\n",
    "            tm.rename({\"Percent\": f\"Percent_{label}\"}, axis=1, inplace=True)\n",
    "        else:\n",
    "            tplus1 = pt(ddi, xdf[xdf[col]==label], gvar, wvar)\n",
    "            tplus1.rename({\"Percent\": f\"Percent_{label}\"}, axis=1, inplace=True)\n",
    "            tm = tm.merge(tplus1, on=gvar)\n",
    "\n",
    "    if sort_var == 'Percent_x':\n",
    "        sort_var = f\"Percent_{label}\"\n",
    "\n",
    "    tm = tm.sort_values(by=sort_var, ascending=ascending)\n",
    "        \n",
    "    tm[[c for c in tm.columns if 'Percent' in c]] = tm[\n",
    "        [c for c in tm.columns if 'Percent' in c]\n",
    "    ] * 100.\n",
    "    try:\n",
    "        ylabel = ddi.get_variable_info(gvar).label.title()\n",
    "    except:\n",
    "        ylabel = gvar\n",
    "    \n",
    "    g = tm.reset_index(drop=True).loc[0:n].sort_values(by=sort_var, ascending=True).plot.barh(\n",
    "        x=gvar,\n",
    "        y=[c for c in tm.columns if 'Percent' in c],\n",
    "        color=colors,\n",
    "        label=labels,\n",
    "        title=title,\n",
    "        figsize=(12, 8),\n",
    "        fontsize=fontsize,\n",
    "        legend='lower right',\n",
    "    )\n",
    "\n",
    "    for container in g.containers:\n",
    "        g.bar_label(container, fmt=fmt, padding=2, fontsize=fontsize)\n",
    "\n",
    "    g.legend(labels, loc='lower right')\n",
    "    g.set_ylabel(ylabel)\n",
    "    g.set_xlabel(\"Within Group Percent of Data\")\n",
    "    if output:\n",
    "        return tm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "365aac9d-9bdc-4899-88b2-91bff9e31f5f",
   "metadata": {},
   "outputs": [],
   "source": [
    "lsdf = pt(None, df, 'Speak English', \"PERWT\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "bab624cd-e81e-4130-ae88-eb64c505a4d3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Speak English</th>\n",
       "      <th>count</th>\n",
       "      <th>raw_count</th>\n",
       "      <th>raw_percent</th>\n",
       "      <th>Percent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Yes, speaks only English</td>\n",
       "      <td>245883574.0</td>\n",
       "      <td>2608655</td>\n",
       "      <td>0.773306</td>\n",
       "      <td>0.737752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Yes, speaks very well</td>\n",
       "      <td>42719318.0</td>\n",
       "      <td>381421</td>\n",
       "      <td>0.113068</td>\n",
       "      <td>0.128176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>N/A (Blank)</td>\n",
       "      <td>18287320.0</td>\n",
       "      <td>155340</td>\n",
       "      <td>0.046049</td>\n",
       "      <td>0.054869</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Yes, speaks well</td>\n",
       "      <td>13204708.0</td>\n",
       "      <td>119525</td>\n",
       "      <td>0.035432</td>\n",
       "      <td>0.039620</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Yes, but not well</td>\n",
       "      <td>8996214.0</td>\n",
       "      <td>75512</td>\n",
       "      <td>0.022385</td>\n",
       "      <td>0.026992</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Does not speak English</td>\n",
       "      <td>4196428.0</td>\n",
       "      <td>32925</td>\n",
       "      <td>0.009760</td>\n",
       "      <td>0.012591</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Speak English        count  raw_count  raw_percent   Percent\n",
       "0  Yes, speaks only English  245883574.0    2608655     0.773306  0.737752\n",
       "1     Yes, speaks very well   42719318.0     381421     0.113068  0.128176\n",
       "2               N/A (Blank)   18287320.0     155340     0.046049  0.054869\n",
       "3          Yes, speaks well   13204708.0     119525     0.035432  0.039620\n",
       "4         Yes, but not well    8996214.0      75512     0.022385  0.026992\n",
       "5    Does not speak English    4196428.0      32925     0.009760  0.012591"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lsdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "9938c1bf-501f-47cd-bfbf-7aed5c23daf1",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ptbarplot2(\n",
    "    df, \n",
    "    col='Hispanic or Not', \n",
    "    gvar='Speak English', \n",
    "    wvar='PERWT', \n",
    "    colors=['red', 'blue'],\n",
    "    title='Speaks English by Hispanic vs Non-Hispanic', \n",
    "    ddi=None,\n",
    "    sort_var='Percent_Hispanic',\n",
    "    ascending=False,\n",
    "    n=None,\n",
    "    output=False,\n",
    "    fmt=\"%.1f%%\",\n",
    "    fontsize=8,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "4618fcee-46bd-4511-b54e-46e9f2c4b5e6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ptbarplot2(\n",
    "    df[df['Degree'] !=\"N/A\"], \n",
    "    col='Hispanic or Not', \n",
    "    gvar='Degree', \n",
    "    wvar='PERWT', \n",
    "    colors=['red', 'blue'],\n",
    "    title='Degree Attained for Non-Hispanics', \n",
    "    ddi=None,\n",
    "    sort_var='Percent_Hispanic',\n",
    "    ascending=False,\n",
    "    n=50,\n",
    "    output=False,\n",
    "    fmt=\"%.1f%%\",\n",
    "    fontsize=8,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8d8889f7-3453-4abc-b58b-c378ae1a5037",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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