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Analyzing Police Activity with pandas

Intermediate

4.7+

Updated 12/2024

Explore the Stanford Open Policing Project dataset and analyze the impact of gender on police behavior using pandas.

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PythonData Manipulation4 hours16 videos50 exercises4,100 XP64,849Statement of Accomplishment

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Course Description

Now that you have learned the foundations of pandas, this course will give you the chance to apply that knowledge by answering interesting questions about a real dataset! You will explore the Stanford Open Policing Project dataset and analyze the impact of gender on police behavior. During the course, you will gain more practice cleaning messy data, creating visualizations, combining and reshaping datasets, and manipulating time series data. Analyzing Police Activity with pandas will give you valuable experience analyzing a dataset from start to finish, preparing you for your data science career!

Prerequisites

Joining Data with pandas

1

Preparing the data for analysis

Stanford Open Policing Project dataset

Examining the dataset

Dropping columns

Dropping rows

Using proper data types

Finding an incorrect data type

Fixing a data type

Creating a DatetimeIndex

Combining object columns

Setting the index

2

Exploring the relationship between gender and policing

Do the genders commit different violations?

Examining traffic violations

Comparing violations by gender

Does gender affect who gets a ticket for speeding?

Filtering by multiple conditions

Comparing speeding outcomes by gender

Does gender affect whose vehicle is searched?

Calculating the search rate

Comparing search rates by gender

Adding a second factor to the analysis

Does gender affect who is frisked during a search?

Counting protective frisks

Comparing frisk rates by gender

3

Visual exploratory data analysis

Does time of day affect arrest rate?

Calculating the hourly arrest rate

Plotting the hourly arrest rate

Are drug-related stops on the rise?

Plotting drug-related stops

Comparing drug and search rates

What violations are caught in each district?

Tallying violations by district

Plotting violations by district

How long might you be stopped for a violation?

Converting stop durations to numbers

Plotting stop length

4

Analyzing the effect of weather on policing

Exploring the weather dataset

Plotting the temperature

Plotting the temperature difference

Categorizing the weather

Counting bad weather conditions

Rating the weather conditions

Changing the data type to category

Merging datasets

Preparing the DataFrames

Merging the DataFrames

Does weather affect the arrest rate?

Comparing arrest rates by weather rating

Selecting from a multi-indexed Series

Reshaping the arrest rate data

Analyzing Police Activity with pandas

Course
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*4.7

from 44 reviews

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Top reviews

Jesus M.

about 1 year

A good case study with pandas

Laura G.

about 1 year

This is a great guided exercise that helps the student to practice and learn new search techniques. Congratulations!!!!

Indranil C.

about 1 year

Good organisation and good voice of the speaker

Martin B.

over 1 year

Exceptional guidance! He explained stuff so well, it was among the best 5 datacamp courses I ever attended.

Rob A.

over 1 year

Everything is super

"A good case study with pandas"

Jesus M.

"This is a great guided exercise that helps the student to practice and learn new search techniques. Congratulations!!!!"

Laura G.

"Good organisation and good voice of the speaker"

Indranil C.

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