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BASEBALL DATA ANALYSIS

Using StatCast Data to analyze baseball data and compare players

TAKE AWAYS

  • Data Preparation
  • Extracting and Merging Data
  • Using Functions
  • Visualizing Data using Seaborn and Matplotlib

TASKS

  • Task 2: Display the last five rows of the judge DataFrame.
  • Task 3: Isolate each player's batted ball events for the 2017 season.
  • Task 4: Isolate each player's home runs then plot exit velocity vs. launch angle.
  • Task 5: Plot the pitch velocities of each player's home runs on box
  • Task 6: Create a function that returns the x-coordinate of a pitch zone.
  • Task 7: Create a function that returns the y-coordinate of a pitch zone.
  • Task 8: Assign Cartesian coordinates to the strike zone and plot pitches that resulted in Judge home runs as a 2D histogram.
  • Task 9: Assign Cartesian coordinates to the strike zone and plot pitches that resulted in Stanton home runs as a 2D histogram.

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Player Data Analysis using Python

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