Pular para o conteúdo principal
InícioPythonA New Era of Data Analysis in Baseball

projeto

A New Era of Data Analysis in Baseball

Iniciante
Updated 06/2024
Use MLB's Statcast data to compare New York Yankees sluggers Aaron Judge and Giancarlo Stanton.
Iniciar Projeto Gratuitamente
Incluído comPremium or Teams
10 Tasks1,500 XP11,405

Crie sua conta gratuita

GoogleLinkedInFacebook

ou

Ao continuar, você aceita nossos Termos de Uso, nossa Política de Privacidade e que seus dados são armazenados nos EUA.
Group

Treinar 2 ou mais pessoas?

Experimente o DataCamp For Business

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

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

Technologies

Python Python

Topics

Data ManipulationData Visualization
David Venturi HeadshotDavid Venturi

Data Science Educator

Ver Mais

What do other learners have to say?