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

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Exercise instructions

Create a DataFrame, female, that only contains rows in which driver_gender is 'F'.
Create a DataFrame, male, that only contains rows in which driver_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.____)

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