如何在 R 中重构树形图，以便类别、子类别和值可见

Question

我需要创建树状图，这是我的数据

fd=structure(list(geo = c("FR", "ID", "KE", "NG", "TH", "BD", "BF", 
"GB", "ID", "US", "DE", "FR", "GB", "US", "ZA", "BR", "DE", "GB", 
"IN", "US", "GB", "KR", "TR", "US", "UZ", "AU", "CA", "CI", "SN", 
"TH", "DE", "FR", "GB", "ID", "US", "DE", "GB", "SA", "TH", "US"
), total_gross = c(74800.179198648, 206351.720296498, 87104.011204479, 
230279.098284536, 88416.123570242, 30649.923307, 1797.704424, 
7203.416263, 20182.697799371, 1248.065576, 3884.255650215, 4312.951986, 
7590.300395, 6124.868841, 5223.464131, 8579.658550893, 5105.435153999, 
7041.527072472, 28142.360652436, 34010.800759784, 2274.429363, 
1032.775403, 3611.359533, 27850.021229, 21428.923638, 3428.672326, 
1596.969545249, 3506.142073, 1137.637902, 1932.374443, 7028.91663786, 
9778.256711419, 6271.898612455, 5442.656310329, 47786.935549483, 
46615.8912281, 34268.94122415, 20576.448612643, 20973.696070114, 
288397.397156119), dataset = c("data0_50", "data0_50", "data0_50", 
"data0_50", "data0_50", "data10001_50000", "data10001_50000", 
"data10001_50000", "data10001_50000", "data10001_50000", "data1001_5000", 
"data1001_5000", "data1001_5000", "data1001_5000", "data1001_5000", 
"data101_500", "data101_500", "data101_500", "data101_500", "data101_500", 
"data50001", "data50001", "data50001", "data50001", "data50001", 
"data5001_10000", "data5001_10000", "data5001_10000", "data5001_10000", 
"data5001_10000", "data501_1000", "data501_1000", "data501_1000", 
"data501_1000", "data501_1000", "data51_100", "data51_100", "data51_100", 
"data51_100", "data51_100"), perc = c(4L, 8L, 18L, 14L, 5L, 3L, 
4L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 
1L, 0L, 0L, 1L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 2L, 2L, 3L, 
1L, 2L)), class = "data.frame", row.names = c(NA, -40L))

我创建了树形图，对我来说看到数据集每个类别中的

perc

+ 该数据集的地理子类别很重要。 我做这个

fd=read.csv("C:/1/fd.csv",dec=".",sep=";")
str(fd)

# Install required packages if they are not installed
if (!require(treemap)) {
   install.packages("treemap")
   library(treemap)
}

# Convert data into a format suitable for treemap
treemap_data <- aggregate(perc ~ geo + dataset, data = fd, sum)

# Building treemap
treemap(treemap_data, index=c("geo", "dataset"), vSize="perc", vColor="perc")

------------------------
   # Set image size
   png("treemap.png", width = 3200, height = 2400, res = 1000) # Change the size and resolution to your liking

# Building treemap
treemap(treemap_data, index=c("geo", "dataset"), vSize="perc", vColor="perc")

# Closing the output device
dev.off()

作为我得到的结果 完全无法阅读的图表

地理名称和数据集名称混淆，并且指标

perс

变量没有确切值

如何让每个方块包含地理名称、数据集名称及其

perc

值 像这样的例子

这里是数据集、地理位置和 perс 值。 谢谢您的帮助。

Answer 1

您可以

paste

将 3 个元素放在一起，并在它们之间换行：

library(treemap)

treemap_data <- aggregate(perc ~ geo + dataset, data = fd, sum) |> 
  dplyr::mutate(label = paste0(geo, "\n", dataset, "\n", perc))

treemap(treemap_data, index = "label", vSize="perc", vColor="perc", 
        fontsize.labels = 6, align.labels = c("left", "top"))

ufeffufeffufeff