Comparing violations by gender
The question we're trying to answer is whether male and female drivers tend to commit different types of traffic violations.
In this exercise, you'll first create a DataFrame for each gender, and then analyze the violations in each DataFrame separately.
This exercise is part of the course
Analyzing Police Activity with pandas
Exercise instructions
- Create a DataFrame,
female
, that only contains rows in whichdriver_gender
is'F'
. - Create a DataFrame,
male
, that only contains rows in whichdriver_gender
is'M'
. - Count the violations committed by female drivers and express them as proportions.
- Count the violations committed by male drivers and express them as proportions.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Create a DataFrame of female drivers
female = ri[____]
# Create a DataFrame of male drivers
male = ri[____]
# Compute the violations by female drivers (as proportions)
print(female.____)
# Compute the violations by male drivers (as proportions)
print(male.____)