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.
Este exercício faz parte do curso
Analyzing US Census Data in Python
Exercício interativo prático
Experimente este exercício completando este código de exemplo.
# Restrict DataFrame to columns of interest, rename columns
tidy_black_emp = msa_black_emp[____]
tidy_black_emp.columns = ____