{
 "metadata": {
  "name": ""
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%pylab --no-import-all inline"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Populating the interactive namespace from numpy and matplotlib\n"
       ]
      }
     ],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import numpy as np\n",
      "import matplotlib.pyplot as plt\n",
      "from pandas import DataFrame, Series, Index\n",
      "import pandas as pd"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 2
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import census\n",
      "import us\n",
      "\n",
      "import settings"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 3
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "The census documentation has example URLs but needs your API key to work.  In this notebook, we'll use the IPython notebook HTML display mechanism to help out.\n"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "c = census.Census(key=settings.CENSUS_KEY)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 4
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "http://www.census.gov/developers/data/sf1.xml\n",
      "\n",
      "compare to http://www.census.gov/prod/cen2010/briefs/c2010br-02.pdf \n",
      "\n",
      "I think the P0050001 might be the key category\n",
      "\n",
      "* P0010001 = P0050001\n",
      "* P0050001 = P0050002 + P0050010\n",
      "\n",
      "P0050002 Not Hispanic or Latino (total) = \n",
      "\n",
      "* P0050003 Not Hispanic White only \n",
      "* P0050004 Not Hispanic Black only\n",
      "* P0050006 Not Hispanic Asian only\n",
      "* Not Hispanic Other (should also be P0050002 - (P0050003 + P0050004 + P0050006)\n",
      "     * P0050005 Not Hispanic: American Indian/ American Indian and Alaska Native alone\n",
      "     * P0050007 Not Hispanic: Native Hawaiian and Other Pacific Islander alone\n",
      "     * P0050008 Not Hispanic: Some Other Race alone\n",
      "     * P0050009 Not Hispanic: Two or More Races\n",
      "\n",
      "* P0050010 Hispanic or Latino\n",
      "  \n",
      "P0050010 = P0050011...P0050017\n",
      "\n",
      "\"Whites are coded as blue; African-Americans, green; Asians, red; Hispanics, orange; and all other racial categories are coded as brown.\""
     ]
    },
    {
     "cell_type": "heading",
     "level": 1,
     "metadata": {},
     "source": [
      "Planned for next week"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "We will be calculating for each of the following geographic entities:\n",
      "\n",
      "  * states\n",
      "  * counties\n",
      "  * places\n",
      "  * metropolitan areas\n",
      "  * combined statistical areas\n",
      "\n",
      "these quantities:\n",
      "\n",
      "  * the total number of Hispanics/Latinos vs non-Hispanics/Latinos\n",
      "  * numbers of people in the categories found in the [Racial Dot Map](http://bit.ly/rdotmap)\n",
      "  * the diversity index \n",
      "  \n",
      "With any luck, we'll also plot quantities on maps too.\n"
     ]
    }
   ],
   "metadata": {}
  }
 ]
}