Premium Project

A New Era of Data Analysis in Baseball

Use MLB's Statcast data to compare New York Yankees sluggers Aaron Judge and Giancarlo Stanton.

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  • 10 tasks
  • 3,860 participants
  • 1,500 XP

Project Description

There's a new era of data analysis in baseball. Using a new technology called Statcast, Major League Baseball is now collecting the precise location and movements of its baseballs and players. In this project, you will use Statcast data to compare the home runs of two of baseball's brightest (and largest) stars, Aaron Judge (6'7") and Giancarlo Stanton (6'6"), both of whom now play for the New York Yankees.

To complete this project you should be comfortable with pandas and basic data visualization in Python. Check out our Intermediate Python for Data Science and Introduction to Data Visualization with Python courses to get familiar or brush up on your skills.

The dataset used in this project is from Baseball Savant.

Project Tasks

  • 1The Statcast revolution
  • 2What can Statcast measure?
  • 3Aaron Judge and Giancarlo Stanton, prolific sluggers
  • 4Analyzing home runs with Statcast data
  • 5Home runs by pitch velocity
  • 6Home runs by pitch location (I)
  • 7Home runs by pitch location (II)
  • 8Aaron Judge's home run zone
  • 9Giancarlo Stanton's home run zone
  • 10Should opposing pitchers be scared?
Instructor Avatar
David Venturi

Curriculum Manager at DataCamp

David is a Curriculum Manager at DataCamp. After majoring in Chemical Engineering and Economics, David created a personalized data science master's program using online resources. He has studied hundreds of online courses and created several himself. To connect, reach out on LinkedIn.

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Technology

  • Python LogoPython
  • Topics

    Data ManipulationData VisualizationImporting & Cleaning DataCase Studies