[This article was first published on R – TomazTsql, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.Calculating cumulative percentage or percentage per group for each time can sometimes be a task with a slight twist. Let’s check this with ggplot2 and tidyverse.
library(ggplot2)library(tidyverse)data <- data.frame( sector = rep(1:20, each = 5), item = rep(1:5, times = 20), value = rpois(100, 10) )
Three (out of many more) ways to show how this can be achieved.
using simple calculation ```
replacing percent with tapply
without any complications
ggplot(data, aes(x = factor(sector), y = value, fill = factor(item))) + geom_bar(stat = "identity", position = "fill") + scale_y_continuous(labels = scales::percent_format(), name = "Percentage") + labs(x = "Sector", title = "Stacked 100% Bar Plot by Sector") + coord_flip()
```
And by all means, the diagram is in all cases the same. Just the examples can be slightly more over-engineered
Happy R-coding and stay healthy!
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Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.Continue reading: Calculating data for visualization on stacked 100% bar