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Compare Baseball Player Statistics using Visualizations

IntermediateSkill Level
4.8+
151 reviews
Updated 04/2024
Use MLB's Statcast data to compare New York Yankees sluggers Aaron Judge and Giancarlo Stanton.
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PythonData Visualization
1 hr
1 Task
1,500 XP

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Project Description

Compare Baseball Player Statistics using Visualizations

Major League Baseball collects the precise location and movements of its baseballs and players using a technology called Statcast. Use Statcast data to compare the home runs of two of baseball's brightest (and largest) stars, who played for the New York Yankees. The dataset used in this project is from Baseball Savant.

Compare Baseball Player Statistics using Visualizations

Use MLB's Statcast data to compare New York Yankees sluggers Aaron Judge and Giancarlo Stanton.
Start Project
  • 1

    Task 1

Don’t just take our word for it

*4.8
from 151 reviews
83%
17%
0%
0%
0%
  • Anjali
    3 days ago

    It is excellent, practical project. It perfectly bridges the gap between understanding pandas' syntax—like slicing data with loc and iloc—and actually applying it to real-world datasets.

  • Charlie
    6 days ago

  • Benji
    2 weeks ago

  • Benji
    2 weeks ago

  • Mariel
    4 weeks ago

  • awad
    5 weeks ago

"It is excellent, practical project. It perfectly bridges the gap between understanding pandas' syntax—like slicing data with loc and iloc—and actually applying it to real-world datasets."

Anjali

Charlie

Benji

    Join over 19 million learners and start Compare Baseball Player Statistics using Visualizations today!

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