Skip to content

Using popular Python libraries and a not so popular one to visualize chess game information from PGN files, by implementing appropriate plot/chart types.

Notifications You must be signed in to change notification settings

JonathanCauchi/Visualization-Statistical-Analysis-Chess-Games

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

13 Commits
 
 
 
 
 
 

Repository files navigation

Visualization-Statistical-Analysis-Chess-Games

Visualizing data regarding chess matches, which includes the number of wins for Black & White teams, most popular starting move, most active chess board square, top capturers and the frequency of captures per chess piece (heatmap), distribution of moves per team, etc.

Made use of:

  • Matplotlib
  • Seaborn
  • Plotly for interactive plots
  • Python chess library for feature extraction

Applied an appropriate statistical test for a proposed hypothesis.

About

Using popular Python libraries and a not so popular one to visualize chess game information from PGN files, by implementing appropriate plot/chart types.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published