Exploring distributions with summary stats
Let's return to our UN demographic data, countrydata, to examine distributions using summary statistics. For each Country, you have information about the GDP per capita in USD (GDP_per_cap) and the unemployment rate (Unemployment). How close to normality is each?
For a perfect normal distribution, the mean, median, and mode will be identical, and the density plot will show a classic, symmetrical bell curve. pandas, scipy.stats, and plotnine have been loaded into the workspace as pd, stats, and p9.
This exercise is part of the course
Performing Experiments in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Print density plot, mean, median, and mode of Unemployment
print(p9.ggplot(____)+ p9.aes(x=____)+ ____)
print(countrydata.Unemployment.____)
print(____)
print(____)