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如何将堆积百分比条形图标签居中

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我试图使用 ggplot2 绘制好的 stacked percent barchart . 我已经阅读了一些材料,几乎可以设法绘制,我想要什么 . 另外,我附上材料,它可能在一个地方有用:

How do I label a stacked bar chart in ggplot2 without creating a summary data frame?

Create stacked barplot where each stack is scaled to sum to 100%

R stacked percentage bar plot with percentage of binary factor and labels (with ggplot)

我的问题是我不能把 labels 放在我想要的地方 - 在酒吧的中间 .
enter image description here

您可以在上面的图片中看到问题 - 标签看起来很糟糕并且彼此重叠 .

我现在正在寻找的是:

  • 如何在条形区域(区域)放置标签

  • 如何绘制并非所有标签,但例如哪些标签超过10%?

  • 如何解决重叠问题?

对于 Q 1. @MikeWise建议可能solution . 但是,我仍然无法处理这个问题 .

另外,我附上了可重复的例子,我是如何绘制这个grahp的 .

library('plyr')
library('ggplot2')
library('scales')
set.seed(1992)
n=68

Category <- sample(c("Black", "Red", "Blue", "Cyna", "Purple"), n, replace = TRUE, prob = NULL)
Brand <- sample("Brand", n, replace = TRUE, prob = NULL)
Brand <- paste0(Brand, sample(1:5, n, replace = TRUE, prob = NULL))
USD <- abs(rnorm(n))*100

df <- data.frame(Category, Brand, USD)

# Calculate the percentages
df = ddply(df, .(Brand), transform, percent = USD/sum(USD) * 100)


# Format the labels and calculate their positions
df = ddply(df, .(Brand), transform, pos = (cumsum(USD) - 0.5 * USD))

#create nice labes
df$label = paste0(sprintf("%.0f", df$percent), "%")  



ggplot(df, aes(x=reorder(Brand,USD,
                              function(x)+sum(x)),  y=percent, fill=Category))+
  geom_bar(position = "fill", stat='identity',  width = .7)+
  geom_text(aes(label=label, ymax=100, ymin=0), vjust=0, hjust=0,color = "white",  position=position_fill())+
  coord_flip()+
  scale_y_continuous(labels = percent_format())+
  ylab("")+
  xlab("")

2 回答

  • 1

    以下是如何使标签居中并避免为小百分比绘制标签 . 数据中的另一个问题是每种颜色都有多个条形部分 . 相反,在我看来,应该结合给定颜色的所有条形部分 . 下面的代码使用 dplyr 而不是 plyr 来设置绘图数据:

    library(dplyr)
    
    # Initial data frame   
    df <- data.frame(Category, Brand, USD)
    
    # Calculate percentages and label positions
    df.summary = df %>% group_by(Brand, Category) %>% 
      summarise(USD = sum(USD)) %>%   # Within each Brand, sum all values in each Category
      mutate(percent = USD/sum(USD),
             pos = cumsum(percent) - 0.5*percent)
    

    要绘制数据,请使用 ifelse 语句确定是否绘制标签 . 在这种情况下,我避免为百分比小于7%绘制标签 .

    ggplot(df.summary, aes(x=reorder(Brand,USD,function(x)+sum(x)), y=percent, fill=Category)) +
      geom_bar(stat='identity',  width = .7, colour="black", lwd=0.1) +
      geom_text(aes(label=ifelse(percent >= 0.07, paste0(sprintf("%.0f", percent*100),"%"),""),
                    y=pos), colour="white") +
      coord_flip() +
      scale_y_continuous(labels = percent_format()) +
      labs(y="", x="")
    

    enter image description here

    UPDATE: 使用ggplot2版本2,不再需要计算文本标签的坐标以使它们居中 . 相反,您可以使用 position=position_stack(vjust=0.5) . 例如:

    ggplot(df.summary, aes(x=reorder(Brand, USD, sum), y=percent, fill=Category)) +
      geom_bar(stat="identity", width = .7, colour="black", lwd=0.1) +
      geom_text(aes(label=ifelse(percent >= 0.07, paste0(sprintf("%.0f", percent*100),"%"),"")),
                    position=position_stack(vjust=0.5), colour="white") +
      coord_flip() +
      scale_y_continuous(labels = percent_format()) +
      labs(y="", x="")
    

    enter image description here

  • 28

    我按照这个例子找到了如何为简单的堆叠条形图放置好标签的方法 . 我认为它也可能有用 .

    df <- data.frame(Category, Brand, USD)
    
    # Calculate percentages and label positions
    df.summary = df %>% group_by(Brand, Category) %>% 
      summarise(USD = sum(USD)) %>%   # Within each Brand, sum all values in each Category
      mutate( pos = cumsum(USD)-0.5*USD)
    
    ggplot(df.summary, aes(x=reorder(Brand,USD,function(x)+sum(x)), y=USD, fill=Category)) +
      geom_bar(stat='identity',  width = .7, colour="black", lwd=0.1) +
      geom_text(aes(label=ifelse(USD>100,round(USD,0),""),
                    y=pos), colour="white") +
      coord_flip()+
      labs(y="", x="")
    

    enter image description here

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