数据获取和准备
devtools::install_github("JaseZiv/worldfootballR")#安装包
library(worldfootballR) #用于网页信息爬取
library(tidyverse) #ggplot, dplyr等
library(forcats) #ggplot排序
library(glue) #比paste()更简单
df <- fb_player_scouting_report(https://fbref.com/en/players/282679b4/Mateusz-Klich)
head(df)
player_name season Statistic Per.90 Percentile
1 Mateusz Klich 2020-2021 Non-Penalty Goals 0.04 44
2 Mateusz Klich 2020-2021 npxG 0.06 52
3 Mateusz Klich 2020-2021 Shots Total 1.19 69
4 Mateusz Klich 2020-2021 Assists 0.21 92
5 Mateusz Klich 2020-2021 xA 0.15 89
6 Mateusz Klich 2020-2021 npxG+xA 0.21 81
df <- df %>%
mutate(stat=case_when(Statistic == "Non-Penalty Goals"|
Statistic == "npxG"|
Statistic == "Shots Total"|
Statistic == "Assists"|
Statistic == "xA"|
Statistic == "npxG+xA"|
Statistic == "Shot-Creating Actions" ~ "Attacking",
Statistic == "Passes Attempted"|
Statistic == "Pass Completion %"|
Statistic == "Progressive Passes"|
Statistic == "Progressive Carries"|
Statistic == "Dribbles Completed"|
Statistic == "Touches (Att Pen)"|
Statistic == "Progressive Passes Rec" ~ "Possession",
TRUE ~ "Defending"))
df_selected <- df[-c(6,14,15,16,18),]
df_selected <- df[c(1:5,7:13,17,19,20),]
绘图
ggplot(df_selected,aes(fct_reorder(Statistic,stat),Percentile)) + #选择绘图列并按照分类排序
geom_bar(aes(y=100,fill=stat),stat="identity",width=1,colour="white", #先绘制整个披萨图
alpha=0.5) + #改变透明度
geom_bar(stat="identity",width=1,aes(fill=stat),colour="white") + #插入数值
coord_polar() + #变成圆形
geom_label(aes(label=Per.90,fill=stat),size=2,color="white",show.legend = FALSE)+ #为数值加标签，把'label=Per.90' 变成'label=Percentile' 以展示百分比 scale_fill_manual(values=c("Possession" = "#D70232", #选择披萨图的填充颜色
"Attacking" = "#1A78CF",
"Defending" = "#FF9300")) +
scale_y_continuous(limits = c(-10,100))+ #在中间添加白色圆圈
labs(fill="", #去掉图例标题
caption = "Data from StatsBomb via FBref", #标题
title=df_selected$player_name[1])+ #标题为运动员的名字
theme_minimal() + #主题进行调整
theme(legend.position = "top",
axis.title.y = element_blank(),
axis.title.x = element_blank(),
axis.text.y = element_blank(),
plot.title = element_text(hjust=0.5),
plot.caption = element_text(hjust=0.5,size=6),
panel.grid.major = element_blank(),
panel.grid.minor = element_blank())
image.png
看上去还行，就是标签不大好。当然可以手动改，比较麻烦。用以下代码在R中改。
temp <- (360/(length(df_selected$Player))/2) #在标签间算出角度的差异并除以2
myAng <- seq(-temp, -360+temp, length.out = length(df_selected$Player)) #为标签算好角
ang<-ifelse(myAng < -90, myAng+180, myAng) #为了可读性，在某些位置旋转标签
ang<-ifelse(ang < -90, ang+180, ang)
有些标签很长，可以让一个单词站一行
df_selected$Statistic <- gsub(" ","\n",df_selected$Statistic)
ggplot(df_selected,aes(fct_reorder(Statistic,stat),Percentile)) +
geom_bar(aes(y=100,fill=stat),stat="identity",width=1,colour="white",
alpha=0.5) +
geom_bar(stat="identity",width=1,aes(fill=stat),colour="white") +
coord_polar() +
geom_label(aes(label=Per90,fill=stat),size=2,color="white",show.legend = FALSE)+
scale_fill_manual(values=c("Possession" = "#D70232",
"Attacking" = "#1A78CF",
"Defending" = "#FF9300")) +
scale_y_continuous(limits = c(-10,100))+
labs(fill="",
caption = "Data from StatsBomb via FBref",
title=df_selected$Player[1])+
theme_minimal() +
theme(legend.position = "top",
axis.title.y = element_blank(),
axis.title.x = element_blank(),
axis.text.y = element_blank(),
axis.text.x = element_text(size = 6, angle = ang),
plot.title = element_text(hjust=0.5),
plot.caption = element_text(hjust=0.5,size=6),
panel.grid.major = element_blank(),
panel.grid.minor = element_blank())
image.png
看上去好多了，现在可以按照你的意图随意更改图的细节了。
ggplot(df_selected,aes(fct_reorder(Statistic,stat),Percentile)) +
geom_bar(aes(y=100),fill="#131313",stat="identity",width=1,colour="#797979",
alpha=0.5,show.legend = FALSE) +
geom_bar(stat="identity",width=1,aes(fill=stat),colour="#F3FEFC",alpha=1) +
coord_polar(clip = "off") +
geom_hline(yintercept=25, colour="#565656",linetype="longdash",alpha=0.5)+
geom_hline(yintercept=50, colour="#565656",linetype="longdash",alpha=0.5)+
geom_hline(yintercept=75, colour="#565656",linetype="longdash",alpha=0.5)+
scale_fill_manual(values=c("Possession" = "#1ADA89",
"Attacking" = "#0F70BF",
"Defending" = "#EC313A")) +
geom_label(aes(label=Percentile,fill=stat),size=2,color="white",show.legend = FALSE)+
scale_y_continuous(limits = c(-20,100))+
labs(fill="",
caption = "Data from StatsBomb via FBref\nStyle copied from The Athletic/@worville",
title=glue("{df_selected$Player[1]} | Leeds United"),
subtitle = glue::glue("{df_selected$season} | Compared to midfielders Top 5 competitions | stats per 90"))+
theme_minimal() +
theme(plot.background = element_rect(fill = "#131313",color = "#131313"),
panel.background = element_rect(fill = "#131313",color = "#131313"),
legend.position = "bottom",
axis.title.y = element_blank(),
axis.title.x = element_blank(),
axis.text.y = element_blank(),
axis.text.x = element_text(size = 6,colour = "#FFFFFF"),
plot.subtitle = element_text(hjust=0.5,size=8),
plot.caption = element_text(hjust=0.5,size=6),
panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
plot.margin = margin(5,4,2,4))
image.png
ggplot(df_selected,aes(fct_reorder(Statistic,stat),Percentile)) +
geom_bar(aes(y=100),fill="#FAFBFD",stat="identity",width=1,colour="black",
alpha=0.5) +
geom_bar(stat="identity",width=0.95,aes(fill=stat),colour=NA) +
coord_polar(clip = "off") +
geom_hline(yintercept=25, colour="#CFD0D2",alpha=1,size=0.1)+
geom_hline(yintercept=50, colour="#CFD0D2",alpha=1,size=0.1)+
geom_hline(yintercept=75, colour="#CFD0D2",alpha=1,size=0.1)+
geom_text(aes(label=Per90,fill=stat),size=2,color="black",show.legend = FALSE)+
scale_fill_manual(values=c("Possession" = "#F47294",
"Attacking" = "#E7D96E",
"Defending" = "#8FBFEF")) +
scale_y_continuous(limits = c(-10,110))+
labs(fill="",
caption = "Data from StatsBomb via FBref\nStyle copied from @FootballSlices",
title=glue("{df_selected$Player[1]} | Leeds United"),
subtitle = glue::glue("{df_selected$season} | Compared to midfielders Top 5 competitions | stats per 90"))+
theme_minimal() +
theme(plot.background = element_rect(fill = "#FAFBFD",color = "#FAFBFD"),
panel.background = element_rect(fill = "#FAFBFD",color = "#FAFBFD"),
legend.position = "top",
axis.title.y = element_blank(),
axis.title.x = element_blank(),
axis.text.y = element_blank(),
axis.text.x = element_text(size = 6),
plot.subtitle = element_text(hjust=0.5,size=8),
plot.caption = element_text(hjust=0.5,size=6),
panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
plot.margin = margin(5,2,2,2))
image.png
ggplot(df_selected,aes(fct_reorder(Statistic,stat),Percentile)) +
geom_bar(aes(y=100),fill="#F2F4F5",stat="identity",width=1,colour="white",
alpha=1,linetype="dashed") +
geom_bar(stat="identity",width=1,fill="#D20222",colour="white") +
geom_hline(yintercept=25, colour="white",linetype="longdash",alpha=0.5)+
geom_hline(yintercept=50, colour="white",linetype="longdash",alpha=0.5)+
geom_hline(yintercept=75, colour="white",linetype="longdash",alpha=0.5)+
geom_hline(yintercept=100, colour="white",alpha=0.5)+
coord_polar() +
geom_label(aes(label=Per90),fill="#D20222",size=2,color="white",show.legend = FALSE)+
scale_fill_manual(values=c("Possession" = "#D70232",
"Attacking" = "#1A78CF",
"Defending" = "#FF9300")) +
scale_y_continuous(limits = c(-10,100))+
labs(fill="",
caption = "Data from StatsBomb via FBref",
#remove legend title
title=glue("{df_selected$Player[1]} | Manchester United"),
subtitle = glue::glue("{df_selected$season} | Compared to midfielders Top 5 competitions | stats per 90"))+
theme_minimal() +
theme(plot.background = element_rect(fill = "#F2F4F5",color = "#F2F4F5"),
panel.background = element_rect(fill = "#F2F4F5",color = "#F2F4F5"),
legend.position = "top",
axis.title.y = element_blank(),
axis.title.x = element_blank(),
axis.text.y = element_blank(),
axis.text.x = element_text(size = 6, angle = ang),
plot.subtitle = element_text(hjust=0.5,size=8),
plot.caption = element_text(hjust=0.5,size=6),
panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
plot.margin = margin(5,2,2,2))
image.png
