https://geocaruso.github.io/PingMeUp/
source:https://github.com/geocaruso/PingMeUp/
Author: Geoffrey Caruso
This repository explores AFTT table tennis data using R.
Important: This is an independent, non‑official project.
The project is not endorsed by, or produced for the AFTT. This repository is made
- for personal interest and methodological exploration,
- as a teaching example for geography students at the University of Luxembourg,
- to illustrate a reproducible workflow for scraping, cleaning, analysing, mapping data with R and making a package with functions, data and reports.
Please refer to the AFTT Data Portal: https://data.aftt.be/ for official rankings and datasets.
This said, I welcome comments, improvements and any suggestions!
Ethics & responsible use
- Out of discretion, no player‑level outputs are produced here. Names are publicly visible on the official AFTT website, so they are kept here but can easily be reomved if that would be problematic. Licence number is a unique ID.
- Anyone reusing these scripts is strongly encouraged to:
- acknowledge AFTT as the data source,
- scrape gently and responsibly to avoid unnecessary load on AFTT infrastructure
Install and use
Install from GitHub
install.packages("devtools") #if needed
devtools::install_github("geocaruso/PingMeUp")Explore data (e.g. best 50 active players or best 20 in Namur province)
library(PingMeUp)
data(players_m)
head(players_m[order(players_m$points, decreasing=TRUE), c("nom","points")], 50)
Namur_players_m <-players_m[players_m$prov=="N",]
head(Namur_players_m[order(Namur_players_m$points, decreasing=TRUE), c("nom","points")], 20)See the Vignettes for more use and analytics (plots, etc.)
Compute your classement from points app
The package repository also includes a small web app (points2classement.html) directly accessible at https://geocaruso.github.io/PingMeUp/app/points2classement.html, where it is sourced from the pkgdown/assets/app/ folder (for those who would like to improve it). It uses a php file elsewhere to fetch the current number of active players from AFTT dynamically. Note that this app has been generated semi-automatically with AI after few prompts and the classements estimates functions made within the R project.
Enjoy!