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.
Den här övningen är en del av kursen
Analyzing Police Activity with pandas
Övningsinstruktioner
- 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().
Interaktiv övning med praktiskt arbete
Testa den här övningen genom att slutföra den här exempelkoden.
# 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.____)