ggplot(dealflow_summary_fiscal_yr,aes(x=Total,y=Type,fill=status))+
geom_bar(stat='identity',width=0.2)+theme_classic()+
geom_text(aes(label = stat(x),group = Type),stat = "summary",fun = sum,vjust = .20,hjust= 1)+
theme(axis.line.y = element_blank(),axis.ticks = element_blank(),legend.position = "bottom",
axis.text.x = element_text(face = "bold", color = "black", size = 10, angle = 45, hjust = 1))+
labs(x="", y="", fill="")+
scale_fill_manual(values=c("#284a8d", "#00B5CE"))
答案 0 :(得分:0)
分别计算每个 Type
的总数并将它们绘制在单独的 geom_text
中。
library(dplyr)
library(ggplot2)
Total_data <- dealflow_summary_fiscal_yr %>%
group_by(Type) %>% summarise(Total = sum(Total))
dealflow_summary_fiscal_yr %>%
group_by(Type, status) %>%
summarise(Total = sum(Total)) %>%
ggplot() + aes(x=Total,y=Type,fill=status)+
geom_bar(stat='identity',width=0.2)+
theme_classic() +
geom_text(aes(label = Total)) +
geom_text(data = Total_data, aes(x = Total, y = Type, label = Total),
inherit.aes = FALSE) +
theme(axis.line.y = element_blank(),
axis.ticks = element_blank(),
legend.position = "bottom",
axis.text.x = element_text(face = "bold", color = "black",
size = 10, angle = 45, hjust = 1))+
labs(x="", y="", fill="")+
scale_fill_manual(values=c("#284a8d", "#00B5CE"))
您可能需要根据您的完整数据在 hjust
中使用 vjust
、geom_text
调整标签,以便它们处于正确的位置。