# Bind all the inidividual csv files to tibbles, so we have a complete table
# for each subject
read_tennis_data <- function(year,
file = "atp_matches",
subdir = "tennis_atp") {
readr::read_csv(
sprintf(
"~/Documents/R_packages/tennis/data_input/%s/%s_%d.csv",
subdir, file, year))
}
atp_matches <- purrr::map(1968:2017, read_tennis_data) %>% do.call("rbind", .)
devtools::use_data(atp_matches)
atp_matches_futures <-
purrr::map(1991:2017, read_tennis_data, file = "atp_matches_futures") %>%
do.call("rbind", .)
devtools::use_data(atp_matches_futures)
atp_matches_qual_chal <-
purrr::map(1991:2017, read_tennis_data, file = "atp_matches_qual_chall") %>%
do.call("rbind", .)
devtools::use_data(atp_matches_qual_chal)
atp_players <- readr::read_csv(
"~/Documents/R_packages/tennis/data_input/tennis_atp/atp_players.csv",
col_names = FALSE)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.