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.

Deze oefening maakt deel uit van de cursus

Analyzing Police Activity with pandas

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Oefeninstructies

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.

Praktische interactieve oefening

Probeer deze oefening eens door deze voorbeeldcode in te vullen.

# 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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