In [1]:

    

import seaborn as sns
import metapack as mp
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from IPython.display import display 

%matplotlib inline
sns.set_context('notebook')
mp.jupyter.init()


    

In [2]:

    

pkg = mp.jupyter.open_package()
#pkg = mp.jupyter.open_source_package()
pkg


    

    
Out[2]:




CHIS California Health Interview Survey, Adults
healthpolicy.ucla.edu-chis-adult-1 Last Update: 2018-12-07T00:50:49
Documentation and Reference Links to CHIS files.
Documentation Links

dd_adult_2017 Data dictionary, Adult, 2017
dd_adult_2016 Data dictionary, Adult, 2016
dd_adult_2015 Data dictionary, Adult, 2015
dd_adult_2014 Data dictionary, Adult, 2014
dd_adult_2013 Data dictionary, Adult, 2013
homepage Data download home page.

Contacts

Wrangler Eric Busboom, Civic Knowledge

Resources

 rasp_diabetes. Diabetes probabilities for age, race, sex, and poverty level ratio, for all CHIS respondents in California

References

adult_2017. CHIS, Adult 2017
adult_2016. CHIS, Adult 2016
adult_2015. CHIS, Adult 2015
adult_2014. CHIS, Adult 2014
adult_2013. CHIS, Adult 2013

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