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Labs

Building Baseball Data Visualizations with Python

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Labs

Path Info

Level
Clock icon Intermediate
Duration
Clock icon 2h 50m
Last updated
Clock icon Aug 14, 2025

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Table of Contents

  1. Challenge

    Game Files - Clean and Import Data

    In this lab you’ll follow along with our instructions to build data visualizations that present data on Major League Baseball All-star games.

    The data we will work with in this project is stored in several CSV files. In this module we will clean and import the data using the Pandas library. The event files for this project are provided by Retrosheet.

    As per the Retrosheet license. The information used here was obtained free of charge from and is copyrighted by Retrosheet. Interested parties may contact Retrosheet at "www.retrosheet.org". ### Solution The solution can be found in the solution directory.

  2. Challenge

    Attendance - Select and Plot Data

    In this module, we will answer the question: "How has All-star game attendance changed over time?"

  3. Challenge

    Pitching - Group Data

    In this module, we will answer the question: "How have the number of strike outs changed over time?"

  4. Challenge

    Offense - Reshape with Pivot

    In this module, we will use the pivot() function to show the distribution of hit types across innings.

  5. Challenge

    Defensive Efficiency Ratio - Merge Data

    Defensive Efficiency Ratio is used as a metric to gauge team defense. In this module we will calculate this for each league over time.

Tom Bell - Labs - Tom
Author
Tom Bell

Tom is a staff author at Pluralsight helping to develop Hands-On content. Tom's background in software development, UI/UX, and instructional design was developed over the years while working as a faculty member at the School of Computing at Weber State University in Utah, and continues to grow as he develops Projects and Labs for Pluralsight. When he's not creating content to allow learners to gain real-life experience, he enjoys spending time with his family.

What's a lab?

Hands-on Labs are real environments created by industry experts to help you learn. These environments help you gain knowledge and experience, practice without compromising your system, test without risk, destroy without fear, and let you learn from your mistakes. Hands-on Labs: practice your skills before delivering in the real world.

Provided environment for hands-on practice

We will provide the credentials and environment necessary for you to practice right within your browser.

Guided walkthrough

Follow along with the author’s guided walkthrough and build something new in your provided environment!

Did you know?

On average, you retain 75% more of your learning if you get time for practice.
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