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ergast_french2019.R
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ergast_french2019.R
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library(dplyr)
library(extrafont)
extrafont::font_import(prompt = F, pattern = "Formula")
# Driver Info -------------------------------------------------------------
driverId <- c("albon", "bottas","gasly","giovinazzi","grosjean","hamilton",
"hulkenberg","kevin_magnussen","kubica","kvyat", "leclerc",
"max_verstappen","norris","perez","raikkonen","ricciardo",
"russell","sainz","stroll","vettel")
driverName <- c("ALB","BOT","GAS","GIO","GRO","HAM",
"HUL","MAG","KUB","KVY","LEC",
"VER","NOR","PER","RAI","RIC",
"RUS","SAI","STR","VET")
driverColor <- c("#469BFF","#00D2BE","#1E41FF","#9B0000","#F0D787","#00D2BE",
"#FFF500","#F0D787","#FFFFFF","#469BFF","#DC0000",
"#1E41FF","#FF8700","#F596C8","#9B0000","#FFF500",
"#FFFFFF","#FF8700","#F596C8","#DC0000")
driverInfo <- data.frame(driverId, driverName, driverColor)
# Query Template ----------------------------------------------------------
series <- "f1"
season <- "2019"
round <- "8"
query_base <- paste0("http://ergast.com/api/", series, '/', season, '/', round, '/')
# Qualifying --------------------------------------------------------------
qualifying_file <- "data/qualifying_data_fr.rds"
if(file.exists(qualifying_file)){
df_qualifying <- readRDS(qualifying_file)
}else{
query_qualifying <- paste0(query_base, 'qualifying', '.json?limit=100')
r <- httr::GET(url = query_qualifying)
d <- httr::content(r)
df_qualifying <- lapply(d$MRData$RaceTable$Races[[1]]$QualifyingResults, data.frame, stringsAsFactors=F) %>%
dplyr::bind_rows() %>%
dplyr::rename(driverId = Driver.driverId) %>%
dplyr::select(position, driverId) %>%
dplyr::mutate(position = as.numeric(position),
lap_number = 0)
saveRDS(df_qualifying, qualifying_file)
}
# Lap Times ---------------------------------------------------------------
laptimes_file <- "data/laptimes_data_fr.rds"
if(file.exists(laptimes_file)){
df_laptimes <- readRDS(laptimes_file)
}else{
df_laptimes <- data.frame()
laptime_response <- function(r){
e <- httr::content(r)
lap <- e$MRData$RaceTable$Races[[1]]$Laps[[1]]
lapply(lap$Timings, data.frame, stringsAsFactors=F) %>%
dplyr::bind_rows() %>%
dplyr::mutate(lap_number = lap$number)
}
lap <- 1
query_laptime <- paste0(query_base, 'laps/', lap, '.json')
r <- httr::GET(url = query_laptime)
while(r$status_code == 200 && httr::content(r)$MRData$total != "0"){
df_laptimes <- dplyr::bind_rows(df_laptimes, laptime_response(r))
lap <- lap + 1
query_laptime <- paste0(query_base, 'laps/', lap, '.json')
r <- httr::GET(url = query_laptime)
}
df_laptimes <- df_laptimes %>%
dplyr::mutate(lap_number = as.numeric(lap_number),
position = as.numeric(position))
saveRDS(df_laptimes, laptimes_file)
}
# Pit Stops ----------------------------------------------------------------
pitstops_file <- "data/pitstops_data_fr.rds"
if(file.exists(pitstops_file)){
df_pitstops <- readRDS(pitstops_file)
}else{
query_pitstops <- paste0(query_base, 'pitstops', '.json?limit=100')
r <- httr::GET(url = query_pitstops)
d <- httr::content(r)
df_pitstops <- lapply(d$MRData$RaceTable$Races[[1]]$PitStops, data.frame, stringsAsFactors=F) %>%
dplyr::bind_rows() %>%
dplyr::rename(lap_number = lap) %>%
dplyr::select(-time) %>%
dplyr::mutate(lap_number = as.numeric(lap_number),
stop = as.numeric(stop))
saveRDS(df_pitstops, pitstops_file)
}
# Merge Datasets ----------------------------------------------------------
df <- merge(df_laptimes, df_pitstops, by=c("driverId","lap_number"), all.x = T) %>%
dplyr::bind_rows(df_qualifying)
df <- df_laptimes %>%
dplyr::bind_rows(df_qualifying)
nlaps <- max(df$lap_number)
# Lap Times Visualization -------------------------------------------------
last_laps <- df_laptimes %>%
dplyr::group_by(driverId) %>%
dplyr::summarise(last_lap = max(lap_number),
position = position[which(lap_number == last_lap)]) %>%
dplyr::ungroup() %>%
merge(driverInfo, by="driverId")
# Penalties ---------------------------------------------------------------
if(F){
post <- list(grosjean=7, kevin_magnussen=8, hamilton=9, kubica=10, russell=11, raikkonen=12, giovinazzi=13)
finish_lap <- nlaps+4
finish_pos <- df %>%
dplyr::filter(lap_number == nlaps) %>%
dplyr::mutate(lap_number = finish_lap)
for(n in names(post)){
finish_pos$position[finish_pos$driverId == n] <- unlist(post[n])
}
df <- df %>%
dplyr::bind_rows(finish_pos)
pre <- list(albon = 16, russell=17, kubica=18, norris=19)
for(n in names(pre)){
df$position[df$driverId == n & df$lap_number == 0] <- unlist(pre[n])
}
}
dd <- lapply(unique(df$driverId), function(driver){
df_s <- df %>%
dplyr::filter(driverId == driver) %>%
dplyr::arrange(lap_number)
lap_number <- c()
position <- c()
for(i in 1:(nrow(df_s)-1)){
current_pos <- df_s$position[i]
next_pos <- df_s$position[i+1]
by <- 0.05
x <- seq(df_s$lap_number[i], df_s$lap_number[i+1], by=by)
x_ <- seq(-0.5, 0.5, length.out=length(x))
a <- 10
b <- current_pos - next_pos
y <- current_pos - b/(1+exp(-a*x_))
lap_number <- c(lap_number, x)
position <- c(position, y)
}
data.frame(driverId=driver, lap_number, position, stringsAsFactors = F)
}) %>% dplyr::bind_rows()
# POSITION GRAPH ----------------------------------------------------------
dd %>%
merge(driverInfo, by="driverId") %>%
ggplot2::ggplot()+
# Position Lines
ggplot2::geom_line(ggplot2::aes(x = lap_number, y = position, color=driverId), size=0.5) +
# Points and names every 10 laps
ggplot2::geom_point(data = . %>% filter(lap_number %% 10 == 0),
ggplot2::aes(x = lap_number, y = position, color=driverId), shape=16, size=2) +
ggplot2::geom_label(data = . %>% filter(lap_number %% 10 == 0),
ggplot2::aes(x = lap_number, y = position-0.3, label=driverName, fill=driverId),
size=3, label.padding = grid::unit(0.15, "lines"), family="Formula1 Display-Bold") +
# Points and names for drivers retiring before last lap
ggplot2::geom_point(data = last_laps %>% filter(last_lap < nlaps),
ggplot2::aes(x = last_lap, y = position, color=driverId), shape=16, size=2) +
ggplot2::geom_label(data = last_laps %>% filter(last_lap < nlaps),
ggplot2::aes(x = last_lap, y = position-0.3, label=driverName, fill=driverId),
size=3, label.padding = grid::unit(0.15, "lines"), family="Formula1Display-Bold") +
# Points and names for drivers on the last lap
ggplot2::geom_point(data = last_laps %>% filter(last_lap == nlaps),
ggplot2::aes(x = last_lap, y = position, color=driverId), shape=16, size=2) +
ggplot2::geom_label(data = last_laps %>% filter(last_lap == nlaps),
ggplot2::aes(x = last_lap, y = position-0.3, label=driverName, fill=driverId),
size=3, label.padding = grid::unit(0.15, "lines"), family="Formula1 Display-Bold") +
# Pit stops names
ggplot2::geom_text(data = merge(df_laptimes, df_pitstops, by=c("driverId","lap_number"), all.y = T) %>%
merge(driverInfo, by="driverId"),
ggplot2::aes(x = lap_number, y = position-0.3, color=driverId, label=paste0("PIT",stop)),
size=3, family = "Formula1-Display-Regular") +
# Color and continuous scales
ggplot2::scale_color_manual(values=driverColor)+
ggplot2::scale_fill_manual(values=driverColor)+
ggplot2::scale_x_continuous(breaks=c(seq(0,nlaps,by=5),nlaps), expand = c(0.02,0.102))+
ggplot2::scale_y_continuous(breaks=c(1,5,10,15,20), trans = "reverse") +
# Theme
ggplot2::theme(legend.position = "none",
panel.background = ggplot2::element_rect(fill = "#38383F"),
plot.background = ggplot2::element_rect(fill = "#38383F"),
text = ggplot2::element_text(family = "Formula1 Display-Regular", colour = "#dddddd"),
plot.title = ggplot2::element_text(family = "Formula1 Display-Bold", hjust = 0, colour = "#dddddd"),
axis.title.x = ggplot2::element_blank(),
axis.text.x = ggplot2::element_text(family = "Formula1 Display-Regular", size=10, colour = "#dddddd"),
axis.title.y = ggplot2::element_blank(),
axis.text.y = ggplot2::element_text(family = "Formula1 Display-Regular", size=10, colour = "#dddddd"),
# axis.ticks.y = ggplot2::element_blank(),
panel.grid.major.x = ggplot2::element_blank(), #ggplot2::element_line(size = 0.25, linetype = 'solid', colour = "#dddddd"),
panel.grid.major.y = ggplot2::element_blank(),
panel.grid.minor = ggplot2::element_blank())+
ggplot2::ggtitle("German Grand Prix 2019 - F1 Race") +
ggplot2::ggsave(filename = paste0("test", Sys.time(), ".png"), device="png", dpi=400, width=16, height=8)