Tallying violations by district
The state of Rhode Island is broken into six police districts, also known as zones. How do the zones compare in terms of what violations are caught by police?
In this exercise, you'll create a frequency table to determine how many violations of each type took place in each of the six zones. Then, you'll filter the table to focus on the "K" zones, which you'll examine further in the next exercise.
This exercise is part of the course
Analyzing Police Activity with pandas
Exercise instructions
- Create a frequency table from the
ri
DataFrame'sdistrict
andviolation
columns using thepd.crosstab()
function. - Save the frequency table as a new object,
all_zones
. - Select rows
'Zone K1'
through'Zone K3'
fromall_zones
using the.loc[]
accessor. - Save the smaller table as a new object,
k_zones
.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Create a frequency table of districts and violations
print(____)
# Save the frequency table as 'all_zones'
all_zones = ____
# Select rows 'Zone K1' through 'Zone K3'
print(all_zones.____)
# Save the smaller table as 'k_zones'
k_zones = all_zones.____