notebook.community

Edit and run



In [1]:

    
%pylab --no-import-all inline









    



Populating the interactive namespace from numpy and matplotlib



In [2]:

    
import numpy as np
import matplotlib.pyplot as plt
from pandas import DataFrame, Series, Index
import pandas as pd



In [3]:

    
import census
import us

import settings

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.



In [4]:

    
c = census.Census(key=settings.CENSUS_KEY)

http://www.census.gov/developers/data/sf1.xml

compare to http://www.census.gov/prod/cen2010/briefs/c2010br-02.pdf

I think the P0050001 might be the key category

P0010001 = P0050001
P0050001 = P0050002 + P0050010

P0050002 Not Hispanic or Latino (total) =

P0050003 Not Hispanic White only
P0050004 Not Hispanic Black only
P0050006 Not Hispanic Asian only
Not Hispanic Other (should also be P0050002 - (P0050003 + P0050004 + P0050006)
- P0050005 Not Hispanic: American Indian/ American Indian and Alaska Native alone
- P0050007 Not Hispanic: Native Hawaiian and Other Pacific Islander alone
- P0050008 Not Hispanic: Some Other Race alone
- P0050009 Not Hispanic: Two or More Races
P0050010 Hispanic or Latino

P0050010 = P0050011...P0050017

"Whites are coded as blue; African-Americans, green; Asians, red; Hispanics, orange; and all other racial categories are coded as brown."

Planned for next week

We will be calculating for each of the following geographic entities:

states
counties
places
metropolitan areas
combined statistical areas

these quantities:

the total number of Hispanics/Latinos vs non-Hispanics/Latinos
numbers of people in the categories found in the Racial Dot Map
the diversity index

With any luck, we'll also plot quantities on maps too.