一年中在数据框架中的四个季度Q1，Q2，Q3和Q4中绘制两列之间的差异时出现问题 数据

如何解决一年中在数据框架中的四个季度Q1，Q2，Q3和Q4中绘制两列之间的差异时出现问题 数据

我在绘制多样性图时遇到问题，该图向我显示了数据农场一年中四个季度的两列之间的差异。这是我拥有的数据框：

df_Total2 = 

       Quarters     X1     X2

1        Q1       390000  375000

2        Q1       675000  693000

3        Q1       350000  346000

4        Q1       950000  925000

5        Q2       395000  382000

6        Q2       800000  837000

7        Q2       350000  342000

8        Q2       850000  890000

9        Q3       400000  390000

10       Q3       750000  713000

11       Q3       350000  340000

12       Q3       875000  976000

13       Q4       410000  408000

14       Q4       750000  790000

15       Q4       350000  367000

16       Q4       900000  930000

This is my code:

library(plotly)
library(readxl)

df =read_excel("DeptYearlyPerfChange.xls")

df

df_Q1 <- cbind (df$Q1Budget,df$Q1Actual)

df_Q2 <- cbind (df$Q2Budget,df$Q2Actual)

df_Q3 <- cbind (df$Q3Budget,df$Q3Actual)

df_Q4 <- cbind (df$Q4Budget,df$Q4Actual)


df_Total <- rbind (df_Q1,df_Q2,df_Q3,df_Q4)

Quarters <- c ("Q1","Q1","Q2","Q3","Q4","Q4")

df_Total2 <- cbind (Quarters,df_Total)

df_Total2 <- data.frame(Quarters,df_Total)


# Shaded region

ggplot(df_Total2,aes(x=Quarters,y= as.factor(df_Total2[,2]))) +

                  geom_ribbon(aes(ymin=as.factor(df_Total2[,2])-as.factor(df_Total2[,3]),ymax=as.factor(df_Total2[,2])+as.factor(df_Total2[,3])),alpha=0.2) + geom_line()

我想知道我的代码有什么错误。老实说，我已尽力解决了这个问题，真的需要您的帮助。

解决方法

如果我们需要绘制差异

library(dplyr)
library(ggplot2)
df_Total2 %>% 
  mutate(Diff = X1 - X2,Sum = X1 + X2) %>% 
  group_by(Quarters) %>% 
  mutate(min = min(Diff),max = max(Sum)) %>% 
  ggplot(aes(x = Quarters,y = X1)) + 
    geom_ribbon(aes(ymin = first(min),ymax = first(max)),alpha = 0.2) + 
    geom_line()

数据

df_Total2 <- structure(list(Quarters = c("Q1","Q1","Q2","Q3","Q4","Q4"),X1 = c(390000L,675000L,350000L,950000L,395000L,800000L,850000L,400000L,750000L,875000L,410000L,900000L),X2 = c(375000L,693000L,346000L,925000L,382000L,837000L,342000L,890000L,390000L,713000L,340000L,976000L,408000L,790000L,367000L,930000L)),class = "data.frame",row.names = c("1","2","3","4","5","6","7","8","9","10","11","12","13","14","15","16"))