作为R语言数据可视化爱好者，当然得找到邓肯和安东尼戴维斯的数据来可视化比较一番了
数据来源 https://www.basketball-reference.com/
今年是安东尼戴维斯的第10个赛季，赛季刚刚开始，因此这个赛季的数据不纳入比较，选择前9个赛季的数据，邓肯也用前9个赛季的数据
数据下载好了存储到csv文件里
读取数据
AD<-read.csv("basketball/AD.txt")
head(AD)
TD<-read.csv("basketball/TD.txt")
head(TD)
加载用到的R包
library(ggplot2)
library(see)
library(tidyverse)
首先比较赛季出场场次
data.frame(y=c(AD$G,TD$G),
group=c(rep("Anthony Davis",9),
rep("Tim Duncan",9)),
x=as.character(c(1:9,1:9))) %>%
ggplot(aes(x=x,y=y))+
geom_col(aes(fill=group),position = "dodge")+
theme_minimal()+
labs(x=NULL,y=NULL)+
theme(legend.position = "top",
legend.title = element_blank(),
legend.text = element_text(size=20),
plot.title = element_text(size=30,hjust=0.5))+
scale_fill_material_d()+
ggtitle("赛季出场场次")
image.png
从图上可以看出，邓肯的出场次数是全面领先安东尼戴维斯的
记下来比较场均出场时间
data.frame(y=c(AD$MP/AD$G,TD$MP/TD$G),
group=c(rep("Anthony Davis",9),
rep("Tim Duncan",9)),
x=as.character(c(1:9,1:9))) %>%
ggplot(aes(x=x,y=y))+
geom_col(aes(fill=group),position = "dodge")+
theme_minimal()+
labs(x=NULL,y=NULL)+
theme(legend.position = "top",
legend.title = element_blank(),
legend.text = element_text(size=20),
plot.title = element_text(size=30,hjust=0.5))+
scale_fill_material_d()+
ggtitle("场均出场时间")
image.png
场均出场时间邓肯也是遥遥领先安东尼戴维斯的
从出场次数和出场时间上看，安东尼戴维斯的身体耐操程度是远远不如邓肯的
记下来是场均得分
data.frame(y=c(AD$PTS/AD$G,TD$PTS/TD$G),
group=c(rep("Anthony Davis",9),
rep("Tim Duncan",9)),
x=as.character(c(1:9,1:9))) %>%
ggplot(aes(x=x,y=y))+
geom_col(aes(fill=group),position = "dodge")+
theme_minimal()+
labs(x=NULL,y=NULL)+
theme(legend.position = "top",
legend.title = element_blank(),
legend.text = element_text(size=20),
plot.title = element_text(size=30,hjust=0.5))+
scale_fill_material_d()+
ggtitle("场均得分")
image.png
场均得分安东尼戴维斯有7个赛季都领先蒂姆邓肯，这个和当今NBA进攻节奏快也有一定的关系
场均出手次数
data.frame(y=c(AD$FGA/AD$G,TD$FGA/TD$G),
group=c(rep("Anthony Davis",9),
rep("Tim Duncan",9)),
x=as.character(c(1:9,1:9))) %>%
ggplot(aes(x=x,y=y))+
geom_col(aes(fill=group),position = "dodge")+
theme_minimal()+
labs(x=NULL,y=NULL)+
theme(legend.position = "top",
legend.title = element_blank(),
legend.text = element_text(size=20),
plot.title = element_text(size=30,hjust=0.5))+
scale_fill_material_d()+
ggtitle("场均出手次数")
image.png
场均出手次数安东尼戴维斯也比邓肯高不少
命中率
data.frame(y=c(AD$FG.,TD$FG.),
group=c(rep("Anthony Davis",9),
rep("Tim Duncan",9)),
x=as.character(c(1:9,1:9))) %>%
ggplot(aes(x=x,y=y))+
geom_col(aes(fill=group),position = "dodge")+
theme_minimal()+
labs(x=NULL,y=NULL)+
theme(legend.position = "top",
legend.title = element_blank(),
legend.text = element_text(size=20),
plot.title = element_text(size=30,hjust=0.5))+
scale_fill_material_d()+
ggtitle("命中率")
image.png
命中率安东尼戴维斯稍高于邓肯
接下来是 篮板 助攻 抢断 盖帽
data.frame(y=c(AD$TRB/AD$G,TD$TRB/TD$G),
group=c(rep("Anthony Davis",9),
rep("Tim Duncan",9)),
x=as.character(c(1:9,1:9))) %>%
ggplot(aes(x=x,y=y))+
geom_col(aes(fill=group),position = "dodge")+
theme_minimal()+
labs(x=NULL,y=NULL)+
theme(legend.position = "top",
legend.title = element_blank(),
legend.text = element_text(size=20),
plot.title = element_text(size=30,hjust=0.5))+
scale_fill_material_d()+
ggtitle("篮板") -> p1
data.frame(y=c(AD$AST/AD$G,TD$AST/TD$G),
group=c(rep("Anthony Davis",9),
rep("Tim Duncan",9)),
x=as.character(c(1:9,1:9))) %>%
ggplot(aes(x=x,y=y))+
geom_col(aes(fill=group),position = "dodge")+
theme_minimal()+
labs(x=NULL,y=NULL)+
theme(legend.position = "top",
legend.title = element_blank(),
legend.text = element_text(size=20),
plot.title = element_text(size=30,hjust=0.5))+
scale_fill_material_d()+
ggtitle("助攻") -> p2
data.frame(y=c(AD$STL/AD$G,TD$STL/TD$G),
group=c(rep("Anthony Davis",9),
rep("Tim Duncan",9)),
x=as.character(c(1:9,1:9))) %>%
ggplot(aes(x=x,y=y))+
geom_col(aes(fill=group),position = "dodge")+
theme_minimal()+
labs(x=NULL,y=NULL)+
theme(legend.position = "top",
legend.title = element_blank(),
legend.text = element_text(size=20),
plot.title = element_text(size=30,hjust=0.5))+
scale_fill_material_d()+
ggtitle("抢断") -> p3
data.frame(y=c(AD$BLK/AD$G,TD$BLK/TD$G),
group=c(rep("Anthony Davis",9),
rep("Tim Duncan",9)),
x=as.character(c(1:9,1:9))) %>%
ggplot(aes(x=x,y=y))+
geom_col(aes(fill=group),position = "dodge")+
theme_minimal()+
labs(x=NULL,y=NULL)+
theme(legend.position = "top",
legend.title = element_blank(),
legend.text = element_text(size=20),
plot.title = element_text(size=30,hjust=0.5))+
scale_fill_material_d()+
ggtitle("盖帽") -> p4
library(patchwork)
p1+p2+p3+p4+
plot_layout(ncol=1)
image.png
邓肯在篮板和盖帽数据占优，而安东尼戴维斯在助攻抢断占优
综上所述，题主的问题有不合理的地方，安东尼戴维斯并没有在各项数据上超越邓肯
