/Football_analysis

Primary LanguageR

Football Data Visualization and Analysis in R

This repository contains various R scripts for data visualization and analysis.

Scripts

  • xG Trendline.R: This script generates a trendline plot for Manchester United's expected goals (xG).
  • waffle.R: This script generates a waffle chart.
  • Finishing Variance Line.R: This script generates a plot showing Jamie Vardy's finishing variance.
  • Dumbell Chart.R: This script generates a dumbbell chart.
  • Bump Chart.R: This script generates a bump chart.
  • Alluvial Plot.R: This script generates an alluvial plot.
  • Comet.R: This script generates a comet plot.
  • Squad Composition.R: This script generates a plot showing squad composition.
  • StackedBar.R: This script generates a stacked bar chart for Ligue 1 xG performance by time period.
  • Alluvial Plot.R: This script generates an alluvial plot.
  • Diamond Scaerplot.R: This script generates a diamond scatterplot.
  • app.R: This is a Shiny application that allows you to select and view the plots generated by the other scripts in this repository.

Usage

To run the scripts, you will need to have R installed on your machine. You can then run the scripts using an R interpreter.

For the Shiny application, you will need to have the Shiny library installed in R. You can then run the application using the command shiny::runApp() in the R console.

GitHub link

You can find the repository at Football_analysis.

Dependencies

These scripts depend on several R packages, includingtidyverse worldfootballR ggalluvial extrafont
ggtext MetBrewer shiny ggplot2
ggalt ggforce ggrepel grid ggplotify cowplot ggshakeR StatsBombR dplyr RcppRoll devtools understatr glue ggsoccer TTR patchwork hexbin shinyWidgets ggbraid ggpubr
future purrr plotly viridis waffle. Please ensure these packages are installed before running the scripts.

For general packages:

install.packages("<package_name>")

For ggbraid and other packages that show an error - install from github:

install.packages("remotes")

remotes::install_github("nsgrantham/ggbraid")

Data Sources

The data used in these scripts is sourced from Understat and FBref via StatsBomb, and WorldFootballR.

  • The data is saved as csv files in the data directory.
  • scrape_data.R is an example file demonstrating data scraping.

Team members

Project done by:

  • Pechetti Sai Akhil (B21AI025)
  • Prashant Tandon (B21AI053)

License

  • Original work by: harshkrishna17
  • We've adapted and aggregated to make a singular app.