This week we’re exploring August and September chess player rating data from FIDE (the International Chess Federation). Monthly data files are published on the FIDE website.
TidyTuesday
Data Visualization
R Programming
2025
Author
Peter Gray
Published
September 23, 2025
Chess Master Origin
:::
1. R code
Show code
if(!require(tidyverse)){install.packages("tidyverse")library(tidyverse)}if(!require(patchwork)){install.packages("patchwork")library(patchwork)}if(!require(plotly)){install.packages("plotly")library(plotly)}if(!require(datapasta)){install.packages("datapasta")library(datapasta)}if(!require(rnaturalearth)){install.packages("rnaturalearth")library(rnaturalearth)}if(!require(rnaturalearthdata)){install.packages("rnaturalearthdata")library(rnaturalearthdata)}if(!require(sf)){install.packages("sf")library(sf)}fide_ratings_september<-readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/main/data/2025/2025-09-23/fide_ratings_september.csv')%>%arrange(fed, desc =T)df<-fide_ratings_september|>filter(!is.na(title))%>%filter(title=="GM"|title=="WGM")#soucrce https://www.mark-weeks.com/aboutcom/mw15b16.html# datapasta::df_paste()countries<-data.frame( stringsAsFactors =FALSE, Fed =c("AFG","AHO","ALB","ALG","AND","ANG","ARG","ARM","ARU","AUS","AUT","AZE","BAH","BAN","BAR","BDI","BEL","BER","BHU","BIH","BIZ","BLR","BOL","BOT","BRA","BRN","BRU","BUL","BUR","CAF","CAM","CAN","CGO","CHI","CHN","CIV","CMR","COL","COM","CRC","CRO","CUB","CYP","CZE","DEN","DJI","DOM","ECU","EGY","ENG","ESA","ESP","EST","ETH","FAI","FID","FIJ","FIN","FRA","GAB","GAM","GCI","GEO","GER","GHA","GRE","GUA","GUM","GUY","HAI","HKG","HON","HUN","INA","IND","IRI","IRL","IRQ","ISL","ISR","ISV","ITA","IVB","JAM","JCI","JOR","JPN","KAZ","KEN","KGZ","KOR","KSA","KUW","LAO","LAT","LBA","LES","LIB","LIE","LTU","LUX","MAC","MAD","MAR","MAS","MAW","MDA","MDV","MEX","MGL","MKD","MLI","MLT","MNC","MNE","MOZ","MRI","MTN","MYA","NAM","NCA","NED","NEP","NGR","NOR","NZL","OMA","PAK","PAN","PAR","PER","PHI","PLE","PLW","PNG","POL","POR","PUR","QAT","ROU","RSA","RUS","RWA","SCO","SEN","SEY","SIN","SLE","SLO","SMR","SOL","SOM","SRB","SRI","STP","SUD","SUI","SUR","SVK","SWE","SWZ","SYR","TAN","THA","TJK","TKM","TLS","TOG","TPE","TTO","TUN","TUR","UAE","UGA","UKR","URU","USA","UZB","VEN","VIE","WLS","YEM","ZAM","ZIM"), Country =c("Afghanistan","Netherlands Antilles","Albania","Algeria","Andorra","Angola","Argentina","Armenia","Aruba","Australia","Austria","Azerbaijan","Bahamas","Bangladesh","Barbados","Burundi","Belgium","Bermuda","Bhutan","Bosnia & Herzegovina","Belize","Belarus","Bolivia","Botswana","Brazil","Bahrain","Brunei Darussalam","Bulgaria","Burinka Faso","Central African Republic","Cambodia","Canada","Congo","Chile","China","Cote d'Ivoire","Cameroon","Colombia","Comoros Islands","Costa Rica","Croatia","Cuba","Cyprus","Czech Republic","Denmark","Djibouti","Dominican Republic","Ecuador","Egypt","United Kingdom","El Salvador","Spain","Estonia","Ethiopia","Faroe Islands","FIDE","Fiji","Finland","France","Gabon","Gambia","Guernsey","Georgia","Germany","Ghana","Greece","Guatemala","Guam","Guyana","Haiti","Hong Kong","Honduras","Hungary","Indonesia","India","Iran","Ireland","Iraq","Iceland","Israel","US Virgin Islands","Italy","British Virgin Islands","Jamaica","Jersey","Jordan","Japan","Kazakhstan","Kenya","Kyrgyzstan","South Korea","Saudi Arabia","Kuwait","Laos","Latvia","Libya","Lesotho","Lebanon","Liechtenstein","Lithuania","Luxembourg","Macau","Madagascar","Morocco","Malaysia","Malawi","Moldova","Maldives","Mexico","Mongolia","Former YUG Rep of Macedonia","Mali","Malta","Monaco","Montenegro","Mozambique","Mauritius","Mauritania","Myanmar","Namibia","Nicaragua","Netherlands","Nepal","Nigeria","Norway","New Zealand","Oman","Pakistan","Panama","Paraguay","Peru","Philippines","Palestine","Palau","Papua New Guinea","Poland","Portugal","Puerto Rico","Qatar","Romania","South Africa","Russia","Rwanda","United Kingdom","Senegal","Seychelles","Singapore","Sierra Leone","Slovenia","San Marino","Solomon Islands","Somalia","Serbia","Sri Lanka","Sao Tome and Principe","Sudan","Switzerland","Suriname","Slovakia","Sweden","Swaziland","Syria","Tanzania","Thailand","Tajikistan","Turkmenistan","Timor-Leste","Togo","Chinese Taipei","Trinidad & Tobago","Tunisia","Turkey","United Arab Emirates","Uganda","Ukraine","Uruguay","United States of America","Uzbekistan","Venezuela","Vietnam","United Kingdom","Yemen","Zambia","Zimbabwe"), C =c(3L,2L,1L,4L,1L,4L,2L,1L,2L,3L,1L,1L,2L,3L,2L,4L,1L,2L,3L,1L,2L,1L,2L,4L,2L,3L,3L,1L,4L,4L,3L,2L,4L,2L,3L,4L,4L,2L,4L,2L,1L,2L,1L,1L,1L,4L,2L,2L,4L,1L,2L,1L,1L,4L,1L,0L,3L,1L,1L,4L,4L,1L,1L,1L,4L,1L,2L,3L,2L,2L,3L,2L,1L,3L,3L,3L,1L,3L,1L,1L,2L,1L,2L,2L,1L,3L,3L,3L,4L,3L,3L,3L,3L,3L,1L,4L,4L,3L,1L,1L,1L,3L,4L,4L,3L,4L,1L,3L,2L,3L,1L,4L,1L,1L,1L,4L,4L,4L,3L,4L,2L,1L,3L,4L,1L,3L,3L,3L,2L,2L,2L,3L,3L,3L,3L,1L,1L,2L,3L,1L,4L,1L,4L,1L,4L,4L,3L,4L,1L,1L,3L,4L,1L,3L,4L,4L,1L,2L,1L,1L,4L,3L,4L,3L,3L,3L,3L,4L,3L,2L,4L,1L,3L,4L,1L,2L,2L,3L,2L,3L,1L,3L,4L,4L), Z =c(2L,3L,5L,1L,10L,3L,5L,5L,3L,6L,2L,8L,3L,2L,3L,2L,1L,3L,3L,2L,3L,8L,4L,3L,4L,1L,3L,4L,3L,4L,3L,2L,3L,5L,5L,4L,4L,3L,3L,3L,2L,3L,10L,4L,3L,1L,3L,3L,2L,1L,3L,1L,7L,2L,10L,NA,6L,3L,1L,4L,4L,10L,5L,2L,4L,5L,3L,6L,3L,3L,3L,3L,4L,3L,7L,1L,1L,1L,3L,2L,3L,1L,3L,3L,10L,1L,3L,4L,2L,4L,3L,1L,1L,3L,7L,1L,3L,1L,10L,7L,10L,3L,3L,1L,3L,3L,8L,3L,3L,3L,2L,1L,10L,10L,5L,3L,3L,1L,3L,3L,3L,1L,2L,4L,3L,6L,1L,2L,3L,5L,4L,3L,1L,6L,6L,4L,1L,3L,1L,4L,3L,6L,3L,1L,1L,2L,3L,4L,2L,10L,6L,2L,5L,2L,4L,2L,2L,3L,4L,3L,3L,1L,2L,3L,4L,4L,3L,4L,5L,3L,1L,5L,1L,2L,9L,5L,1L,4L,3L,3L,1L,1L,3L,3L), S =c(NA,"b","a",NA,NA,NA,NA,"b","c",NA,"a",NA,"a",NA,"a",NA,"b","a",NA,"b","2",NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,"b",NA,"c","b","a",NA,NA,NA,NA,"a","b",NA,"a","c","c",NA,NA,NA,NA,NA,NA,"b",NA,NA,NA,"b","a",NA,"a","c",NA,"b","a",NA,"c",NA,NA,NA,NA,"a",NA,NA,"b","a","c","a","a",NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,"c",NA,"b",NA,NA,NA,"a",NA,NA,NA,NA,NA,"c","b",NA,NA,NA,NA,NA,NA,"c",NA,NA,NA,NA,NA,NA,NA,"c","a",NA,NA,NA,NA,NA,"a",NA,NA,NA,NA,"a",NA,NA,NA,"a",NA,NA,NA,"a","b",NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,"b",NA,"a",NA,NA,NA,NA,NA,NA,"c",NA,"a",NA,NA,NA), FIDE.ID =c(117L,75L,47L,79L,69L,101L,1L,133L,159L,32L,16L,134L,104L,102L,111L,203L,2L,88L,175L,144L,0L,135L,33L,113L,21L,112L,105L,29L,0L,0L,0L,26L,0L,34L,86L,208L,164L,44L,0L,65L,145L,35L,59L,3L,14L,0L,64L,36L,106L,4L,67L,22L,45L,157L,72L,0L,114L,5L,6L,106L,211L,107L,136L,46L,126L,42L,73L,310L,197L,119L,60L,84L,7L,71L,50L,125L,25L,48L,23L,28L,68L,8L,27L,74L,156L,81L,70L,137L,108L,138L,132L,215L,103L,0L,116L,92L,213L,53L,120L,128L,40L,154L,131L,90L,57L,205L,139L,167L,51L,49L,150L,198L,56L,54L,165L,148L,97L,196L,130L,152L,61L,10L,123L,85L,15L,43L,220L,78L,66L,37L,38L,52L,115L,166L,91L,11L,19L,31L,121L,12L,143L,41L,160L,24L,199L,98L,58L,178L,146L,118L,179L,161L,9L,99L,169L,122L,13L,82L,149L,17L,207L,76L,100L,62L,147L,140L,0L,212L,163L,77L,55L,63L,93L,100L,141L,30L,20L,142L,39L,124L,18L,94L,87L,110L))%>%select(Fed, Country)%>%rename(fed =Fed)master<-df%>%left_join(countries, by ="fed")%>%relocate(Country, .after ="fed")%>%arrange(Country, desc. =T)%>%filter(!is.na(Country))counts<-master%>%group_by(Country)%>%summarise(n =n())#countsworld<-ne_countries(scale ="medium", returnclass ="sf")world_masters<-world%>%left_join(counts, by =c("name"="Country"))%>%mutate( `Number of Masters` =cut(n, breaks =c(0, 5, 20, 50, 100, Inf), labels =c("0–5", "6–20", "21–50", "51–100", "100+"), include.lowest =TRUE))p<-ggplot(world_masters)+geom_sf(aes( fill =`Number of Masters`, text =paste0("Country: ", name, "\nActual Number of Grand Masters: ", n)))+scale_fill_brewer(palette ="YlOrRd", na.value ="grey90")+labs( fill ="Grandmasters per Country", title ="Chess Grandmasters per country", subtitle ="As of September 2025", caption ="Source: FIDE ratings (Sept 2025)")+theme_minimal()+theme(axis.text =element_blank(), panel.grid =element_blank())# Convert to interactive plotggplotly(p)
Chess Master Origin