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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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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.
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?
Technologies
Python
David Venturi
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Data Science Educator
David graduated from Queen's University with a dual degree in Chemical Engineering and Economics. After working for a year, he discovered online education (in the early MOOC era) and became enamored with its potential. He has since created content to help people navigate the space, including a DIY data science master's program, Class Central's Data Science Career Guide, courses for Udacity's Data Analyst Nanodegree program, and several DataCamp courses and projects. Visit his website to say hi!