Impacts of Black-White Segregation by Sex
seaborn lets us plot two variables conditioned on a third variable. The two variables will be dissimilarity and unemployment, and we will condition the scatterplot on a third variable, sex, by changing the color of the points and regression line based on the sex being reported. But first we have to turn msa_black_emp into a "tidy" DataFrame.
msa_black_emp has been loaded, with columns "pct_male_unemp" and "pct_female_unemp" as calculated in the last exercise.
pandas and seaborn have been loaded using the usual aliases.
Deze oefening maakt deel uit van de cursus
Analyzing US Census Data in Python
Praktische interactieve oefening
Probeer deze oefening eens door deze voorbeeldcode in te vullen.
# Restrict DataFrame to columns of interest, rename columns
tidy_black_emp = msa_black_emp[____]
tidy_black_emp.columns = ____