Comparing frisk rates by gender
In this exercise, you'll compare the rates at which female and male drivers are frisked during a search. Are males frisked more often than females, perhaps because police officers consider them to be higher risk?
Before doing any calculations, it's important to filter the DataFrame to only include the relevant subset of data, namely stops in which a search was conducted.
Bu egzersiz
Analyzing Police Activity with pandas
kursunun bir parçasıdırEgzersiz talimatları
- Create a DataFrame,
searched, that only contains rows in whichsearch_conductedisTrue. - Take the mean of the
friskcolumn to find out what percentage of searches included a frisk. - Calculate the frisk rate for each gender using a
.groupby().
Uygulamalı interaktif egzersiz
Bu örnek kodu tamamlayarak bu egzersizi bitirin.
# Create a DataFrame of stops in which a search was conducted
searched = ri[ri.____ == ____]
# Calculate the overall frisk rate by taking the mean of 'frisk'
print(searched.____)
# Calculate the frisk rate for each gender
print(searched.____)