Comparing speeding outcomes by gender

When a driver is pulled over for speeding, many people believe that gender has an impact on whether the driver will receive a ticket or a warning. Can you find evidence of this in the dataset?

First, you'll create two DataFrames of drivers who were stopped for speeding: one containing females and the other containing males.

Then, for each gender, you'll use the stop_outcome column to calculate what percentage of stops resulted in a "Citation" (meaning a ticket) versus a "Warning".

Create a DataFrame, female_and_speeding, that only includes female drivers who were stopped for speeding.
Create a DataFrame, male_and_speeding, that only includes male drivers who were stopped for speeding.
Count the stop outcomes for the female drivers and express them as proportions.
Count the stop outcomes for the male drivers and express them as proportions.

Take Hint (-30 XP)

Exercise

Comparing speeding outcomes by gender

Instructions