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Chess Game Dataset (Lichess)

The chess dataset this week comes from Lichess.org via Kaggle/Mitchell J.

This is a set of just over 20,000 games collected from a selection of users on the site Lichess.org.

Use the data to explore -

  1. What the common opening moves? By ranks?
  2. How many turns does a game last based on player ranking?
  3. What move patterns explain the game outcome?

Thank you to Havisha Khurana for curating this week's dataset.

The Data

# Option 1: tidytuesdayR package 
## install.packages("tidytuesdayR")

tuesdata <- tidytuesdayR::tt_load('2024-10-01')
## OR
tuesdata <- tidytuesdayR::tt_load(2024, week = 40)

chess <- tuesdata$chess

# Option 2: Read directly from GitHub

chess <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2024/2024-10-01/chess.csv')

How to Participate

  • Explore the data, watching out for interesting relationships. We would like to emphasize that you should not draw conclusions about causation in the data. There are various moderating variables that affect all data, many of which might not have been captured in these datasets. As such, our suggestion is to use the data provided to practice your data tidying and plotting techniques, and to consider for yourself what nuances might underlie these relationships.
  • Create a visualization, a model, a shiny app, or some other piece of data-science-related output, using R or another programming language.
  • Share your output and the code used to generate it on social media with the #TidyTuesday hashtag.
  • Submit your own dataset!

Data Dictionary

chess.csv

variable class description
game_id character Game ID
rated logical Rated (T/F)
start_time double Start time
end_time double End time
turns double Number of turns
victory_status character Game status
winner character Winner
time_increment character Time increment
white_id character White player id
white_rating double White player rating
black_id character Black player id
black_rating double Black player rating
moves character All Moves in Standard Chess Notation
opening_eco character Opening Eco (Standardised Code for any given opening, list here)
opening_name character Opening Name
opening_ply double Number of moves in the opening phase

Cleaning Script

# Source: Clean data provided by Kaggle Mitchell J.
# https://www.kaggle.com/datasets/datasnaek/chess/data

library(tidyverse)

# Data saved from Kaggle as "chess_game_dataset/chess_games.csv"

chess <- readr::read_csv("chess_game_dataset/chess_games.csv") %>%
  rename("game_id" = "id",
         "start_time" = "created_at",
         "end_time" = "last_move_at",
         "time_increment" = "increment_code")