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.

Cet exercice fait partie du cours

Analyzing Police Activity with pandas

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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.

Exercice interactif pratique

Essayez cet exercice en complétant cet exemple de 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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