Python Client API Notebooks

This directory contains iPython notebooks that use the Python Client API to perform various statistical analyses on interesting datasets. You can click on each link to see a live colab version.

Notebook	Description
getting_started.ipynb	A tutorial that demonstrates various functions supported by the Data Commons API through the task of plotting employment data from the Bureau of Labor Statistics.
analyzing_census_data.ipynb	A notebook that analyzes the relationship between population size and median age for each State, County, and City in the United States.
analyzing_income_distribution.ipynb	A notebook that plots the distribution of income using statistics provided by the 2017 American Community Survey. The final result is a histogram charting the number of individuals in income brackets ranging from "0 to 10,000USD" up to "Above 200,000USD".
analyzing_obesity_prevalence.ipynb	A notebook that analyzes the relationship between prevalence of obesity in 500 US Cities (as provided by the CDC Wonder dataset) to health and socio-economic indicators such as prevalence of high blood pressure and poverty rate.
analyzing_education_achievement.ipynb	A notebook that analyzes the relationship between student achievement in the 3rd, 5th, and 8th grade (as provided by SEDA) and various socio-contextual indicators such as crime rate and nativity.

Maintenance

To maintain up to date versions of these notebooks, developers can save a copy of the above notebooks to a GitHub repository and PR this repository. Navigate to File > Save a copy in GitHub...