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Visualizing the difference

Before you start running hypothesis tests, it's a great idea to perform some exploratory data analysis; that is, calculating summary statistics and visualizing distributions.

Here, you'll look at the proportion of county-level votes for the Democratic candidate in 2012 and 2016, sample_dem_data. Since the counties are the same in both years, these samples are paired. The columns containing the samples are dem_percent_12 and dem_percent_16.

dem_votes_potus_12_16 is available as sample_dem_data. pandas and matplotlib.pyplot are loaded with their usual aliases.

This exercise is part of the course

Hypothesis Testing in Python

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Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Calculate the differences from 2012 to 2016
sample_dem_data['diff'] = ____

# Print sample_dem_data
print(sample_dem_data)
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