R x轴上多变量的散点图

我想为不同列中定义的多个变量创建散点图。 样本输入：

df=structure(list(section = structure(1:6, .Label = c("a", "b", 
"c", "d", "e", "f"), class = "factor"), level = c(0L, 1L, 2L, 
1L, 2L, 0L), math.av = c(83L, 67L, 76L, 56L, 72L, 76L), science.av = c(75L, 
76L, 82L, 72L, 82L, 68L), language.av = c(80L, 75L, 80L, 73L, 
85L, 70L)), class = "data.frame", row.names = c(NA, -6L))

我希望x轴被划分为3个不同的主题列，y轴代表它们的不同值

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我必须用另一列作为指标将它们按颜色分组，在这种情况下，根据级别

这里是一种使用

dplyr

和

ggplot2

的方法

首先，我们需要将数据转向长数据，而不是宽数据

library(dplyr)
library(tidyr)
long_df <- df %>% pivot_longer(-c(section,level))

数据

df <- structure(list(section = structure(1:6, .Label = c("a", "b", 
"c", "d", "e", "f"), class = "factor"), level = c(0L, 1L, 2L, 
1L, 2L, 0L), math.av = c(83L, 67L, 76L, 56L, 72L, 76L), science.av = c(75L, 
76L, 82L, 72L, 82L, 68L), language.av = c(80L, 75L, 80L, 73L, 
85L, 70L)), class = "data.frame", row.names = c(NA, -6L))

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df请提供一个最简单的例子。另外，考虑使用facetting，使其更少confusing@FrancescoGrossetti更新了我的问题
df <- structure(list(section = structure(1:6, .Label = c("a", "b", 
"c", "d", "e", "f"), class = "factor"), level = c(0L, 1L, 2L, 
1L, 2L, 0L), math.av = c(83L, 67L, 76L, 56L, 72L, 76L), science.av = c(75L, 
76L, 82L, 72L, 82L, 68L), language.av = c(80L, 75L, 80L, 73L, 
85L, 70L)), class = "data.frame", row.names = c(NA, -6L))