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How to restructure a treemap graph in R so that categories, subcategories and values are visible

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I need create treemap plot,here my data

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))

I create treemap, it's important for me to see the perc in each category of the dataset + geo subcategories of this dataset.I do this

fd=read.csv("C:/1/fd.csv",dec=".",sep=";")str(fd)# Install required packages if they are not installedif (!require(treemap)) {   install.packages("treemap")   library(treemap)}# Convert data into a format suitable for treemaptreemap_data <- aggregate(perc ~ geo + dataset, data = fd, sum)# Building treemaptreemap(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 treemaptreemap(treemap_data, index=c("geo", "dataset"), vSize="perc", vColor="perc")# Closing the output devicedev.off()

as the result i getcompletely unreadable chartenter image description here

the names of geo and datasets are mixed up, and there is no exact value for the metric perс variable

How to do that each square contains the name of the geo, the name of the dataset and its perc valueexample like thisenter image description here

here is the dataset, geo and perс value.Thank you for your help.


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