我试着画出不同年龄的男性和女性在费用函数上的差异。
我想创建类别1= Age<25,2= Age25-45,3= Age>45,4= Age45-55,5=Age >55
ggplot(Adv.csv,aes(Age<25,AveMonthSpend)) +geom_boxplot(aes(颜色=性别))
AveMonthSpend(Adv.csv,aes(“25-45岁”,AveMonthSpend)) +geom_boxplot(aes(颜色=性别))
ggplot(Adv.csv,aes(Age>45,AveMonthSpend)) +geom_boxplot(aes(颜色=性别))
AveMonthSpend(Adv.csv,aes(“45-55岁”,AveMonthSpend)) +geom_boxplot(aes(颜色=性别))
ggplot(Adv.csv,aes(Age>55,AveMonthSpend)) +geom_boxplot(aes(颜色=性别))
我想将所有这些图放在同一张图中,以比较结果来源:https://www.kaggle.com/philboaz/kernel8523b5e9dc/edit
发布于 2019-06-19 19:14:40
您可能想查看一下cut()
library(tidyverse)
#generate Dataset
data <- tibble(Age = sample(12:99, 50,T),
AveMonthSpend = rnorm(50, 100,15),
Gender = sample(c('f','m'),50,T))
# group data and plot
data %>%
mutate(AgeGroup = cut(x = Age,
breaks = c(-Inf, 25, 45, 55, Inf),
labels = c('<25', '25-45', '45-55', '>55'),
right = T)) %>%
ggplot(aes(x = AgeGroup, y = AveMonthSpend, color = Gender)) +
geom_boxplot()

https://stackoverflow.com/questions/56665968
复制相似问题