Reputation: 173
I would like to plot 6 different variables with their corresponding calculated statistical data. The following dataframe may serve as an example
X aggr_a aggr_b count
<chr> <dbl> <dbl> <dbl>
1 A 470676 594423 58615
2 B 549142 657291 67912
3 C 256204 311723 26606
4 D 248256 276593 40201
5 E 1581770 1717788 250553
6 F 1932096 2436769 385556
I would like to plot each row as category with its statistics as histogram bins. The desired output is
May I use ggplots for this kind of graphs?
All the available resources seem to cover the uni variate case only.
Upvotes: 0
Views: 1218
Reputation: 16121
library(tidyverse)
df = read.table(text = "
X aggr_a aggr_b count
A 470676 594423 58615
B 549142 657291 67912
C 256204 311723 26606
D 248256 276593 40201
E 1581770 1717788 250553
F 1932096 2436769 385556
", header=T)
df %>%
gather(type,value,-X) %>% # reshape dataset
ggplot(aes(X,value,fill=type))+
geom_bar(position = "dodge", stat = "identity")
Upvotes: 3