Last active
November 1, 2021 17:14
-
-
Save leeolney3/da1f50c347aef0c6666ac039193c0a78 to your computer and use it in GitHub Desktop.
TidyTuesday 2021/37 table
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
# Load Libraries | |
library(tidyverse) | |
library(gt) | |
#remotes::install_github("jthomasmock/gtExtras") | |
library(gtExtras) | |
# Import data | |
races <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2021/2021-09-07/races.csv',show_col_types = FALSE) | |
driver_standings <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2021/2021-09-07/driver_standings.csv',show_col_types = FALSE) | |
drivers <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2021/2021-09-07/drivers.csv',show_col_types = FALSE) | |
results <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2021/2021-09-07/results.csv',show_col_types = FALSE) | |
# driver results df | |
driver_results_df <- driver_standings %>% | |
left_join(races, by = "raceId") %>% | |
rename(driver_url = url) %>% | |
left_join(drivers, by = "driverId") | |
# pull top 10 drivers with most wins (position==1) | |
wins10 = drivers %>% | |
left_join(results, by = "driverId") %>% | |
left_join(races, by = "raceId") %>% | |
filter(position == "1") %>% | |
mutate(Driver = paste(forename, surname)) %>% | |
count(Driver, sort=T) %>% slice(1:10) | |
# prepare table data | |
d1 = driver_results_df %>% | |
mutate(Driver = paste(forename, surname)) %>% | |
select(Driver, year, wins, position, points) %>% | |
group_by(Driver,year) %>% | |
summarise(wins = sum(wins), points=sum(points)) %>% | |
filter(Driver %in% wins10$Driver) %>% | |
ungroup() %>% | |
mutate(wins_1 = ifelse(wins==0,0,1)) %>% | |
group_by(Driver) %>% | |
summarise( | |
Wins = length(wins_1[wins_1==1]), | |
Losses = length(wins_1[wins_1==0]), | |
Outcomes = list(wins_1), .groups = "drop", | |
Points= sum(points), | |
Spark = list(points), | |
) %>% | |
arrange(desc(Points)) | |
d2 = d1 %>% left_join(wins10, by="Driver") | |
d3 = d2 %>% select(Driver,"Wins"=n, "Years with Wins" = Wins, "Years with Losses"=Losses, | |
Outcomes, Points, "Sparkline" = Spark) %>% arrange(desc(Wins)) | |
# table | |
d3 %>% | |
gt() %>% | |
gt_plt_winloss(Outcomes) %>% | |
gt_kable_sparkline(Sparkline, height=45) %>% | |
gt_theme_espn() %>% | |
tab_header(title="Top 10 Formula 1 Drivers with the most wins") %>% | |
tab_source_note(source_note = "Data source: ergast.com/mrd/db") %>% | |
cols_align( | |
align = "center", | |
columns = c(Wins,`Years with Wins`,`Years with Losses`)) %>% | |
cols_width(`Years with Wins` ~px(90), | |
`Years with Losses` ~px(90),) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment