Chart builder.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import altair as alt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('data/incarceration_trends.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "alameda = df[df.county_name=='Alameda County']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['yfips', 'year', 'fips', 'state', 'county_name', 'total_pop',\n",
       "       'total_pop_15to64', 'female_pop_15to64', 'male_pop_15to64',\n",
       "       'asian_pop_15to64', 'black_pop_15to64', 'latino_pop_15to64',\n",
       "       'native_pop_15to64', 'other_pop_15to64', 'white_pop_15to64',\n",
       "       'urbanicity', 'region', 'division', 'commuting_zone', 'metro_area',\n",
       "       'land_area', 'total_jail_adm', 'total_jail_adm_dcrp',\n",
       "       'female_jail_adm_dcrp', 'male_jail_adm_dcrp', 'total_jail_pop',\n",
       "       'female_jail_pop', 'male_jail_pop', 'asian_jail_pop', 'black_jail_pop',\n",
       "       'latino_jail_pop', 'native_jail_pop', 'white_jail_pop',\n",
       "       'total_jail_pretrial', 'female_jail_pretrial', 'male_jail_pretrial',\n",
       "       'jail_from_state_prison', 'jail_from_other_state_prison',\n",
       "       'jail_from_state_jail', 'jail_from_other_state_jail', 'jail_from_fed',\n",
       "       'jail_from_ice', 'total_jail_pop_dcrp', 'female_jail_pop_dcrp',\n",
       "       'male_jail_pop_dcrp', 'total_prison_pop', 'female_prison_pop',\n",
       "       'male_prison_pop', 'asian_prison_pop', 'black_prison_pop',\n",
       "       'latino_prison_pop', 'native_prison_pop', 'other_prison_pop',\n",
       "       'white_prison_pop', 'total_prison_adm', 'female_prison_adm',\n",
       "       'male_prison_adm', 'asian_prison_adm', 'black_prison_adm',\n",
       "       'latino_prison_adm', 'native_prison_adm', 'other_prison_adm',\n",
       "       'white_prison_adm', 'num_facilites', 'num_employees', 'confined_pop',\n",
       "       'capacity', 'ucr_population', 'index_crime', 'violent_crime',\n",
       "       'property_crime', 'murder_crime', 'rape_crime', 'robbery_crime',\n",
       "       'agr_assault_crime', 'burglary_crime', 'larceny_crime',\n",
       "       'mv_theft_crime', 'arson_crime'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alameda.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.vegalite.v2+json": {
       "$schema": "https://vega.github.io/schema/vega-lite/v2.6.0.json",
       "config": {
        "view": {
         "height": 300,
         "width": 400
        }
       },
       "data": {
        "name": "data-e75328dbdc2fdb0b52c0c06f6a840af4"
       },
       "datasets": {
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          "arson_crime": null,
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          "asian_prison_adm": null,
          "asian_prison_pop": null,
          "black_jail_pop": null,
          "black_pop_15to64": 101308,
          "black_prison_adm": null,
          "black_prison_pop": null,
          "burglary_crime": null,
          "capacity": 1209,
          "commuting_zone": 294,
          "confined_pop": 1572,
          "county_name": "Alameda County",
          "division": "Pacific",
          "female_jail_adm_dcrp": null,
          "female_jail_pop": 76,
          "female_jail_pop_dcrp": null,
          "female_jail_pretrial": 57,
          "female_pop_15to64": 350973,
          "female_prison_adm": null,
          "female_prison_pop": null,
          "fips": 6001,
          "index_crime": null,
          "jail_from_fed": 0,
          "jail_from_ice": 0,
          "jail_from_other_state_jail": 0,
          "jail_from_other_state_prison": 0,
          "jail_from_state_jail": 0,
          "jail_from_state_prison": 0,
          "land_area": 737.307,
          "larceny_crime": null,
          "latino_jail_pop": null,
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          "latino_prison_adm": null,
          "latino_prison_pop": null,
          "male_jail_adm_dcrp": null,
          "male_jail_pop": 1721,
          "male_jail_pop_dcrp": null,
          "male_jail_pretrial": 953,
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          "metro_area": 41860,
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          "num_employees": 262,
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          "other_pop_15to64": 34411,
          "other_prison_adm": null,
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          "region": "West",
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          "state": "CA",
          "total_jail_adm": 0,
          "total_jail_adm_dcrp": null,
          "total_jail_pop": 1800,
          "total_jail_pop_dcrp": null,
          "total_jail_pretrial": 1013,
          "total_pop": 1074050,
          "total_pop_15to64": 696319,
          "total_prison_adm": null,
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          "ucr_population": null,
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          "white_pop_15to64": 560600,
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         {
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      "text/plain": [
       "<VegaLite 2 object>\n",
       "\n",
       "If you see this message, it means the renderer has not been properly enabled\n",
       "for the frontend that you are using. For more information, see\n",
       "https://altair-viz.github.io/user_guide/troubleshooting.html\n"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alt.Chart(alameda).mark_area().encode(\n",
    "    x='year:O',\n",
    "    y='total_jail_pretrial'\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "from altair import Chart, X, Y, Axis, Data, DataFormat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "WIDTH = 600\n",
    "HEIGHT = 300\n",
    "\n",
    "current_county = \"Alameda\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "chart = Chart(data=alameda, height=HEIGHT, width=WIDTH).mark_area(color='lightgreen').encode(\n",
    "    X('year:O', axis=Axis(title='Year')),\n",
    "    Y('total_jail_pretrial', axis=Axis(title='Number of inmates'))\n",
    ").properties(\n",
    "title='Pre-trial jail population in {}'.format(current_county)\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python (Altair)",
   "language": "python",
   "name": "altair"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}