Plotting different columns in same R graph

Question

I guess this question is rather simple but I have a dataframe with 3 columns (A, B and C). A is the name, B has a numeric value, and C is also has a numeric value. The values of each B and C relate to the correspondent line in A

I need to plot a bar graph that allows to observe for each A, the B bar and the C bar next to each other.

Thanks a lot!

Please include the dataframe in the question; use dput(your_dataframe). — Peter
– Peter, Commented Feb 6, 2022 at 20:24
The answer is almost always a pivot. Hadley [citation needed] suggests that long data is the better format which is why ggplot2 works best on such data. — NelsonGon
– NelsonGon, Commented Feb 6, 2022 at 20:26
Does this answer your question? Plotting two variables as lines using ggplot2 on the same graph — Dan Adams
– Dan Adams, Commented Feb 6, 2022 at 21:22

TarJae · Accepted Answer · 2022-02-06 20:40:30Z

2

Here is an example with ggplot2 that you could work on:

# creating the dataframe
A <- c("First", "Second", "Third", "Fourth")
B <- c(44, 54, 32, 45)
C <- c(23, 12, 45, 34)

df <- data.frame(A, B, C)

# creating the plot with ggplot2

library(tidyverse)

df %>% 
  mutate(A = as_factor(A)) %>% 
  pivot_longer(
    cols=-A,
    names_to = "Numeric value",
    values_to = "value"
  ) %>% 
  ggplot(aes(x=A, y=value, fill=`Numeric value`))+
  geom_col(position = position_dodge())

answered Feb 6, 2022 at 20:40

TarJae

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jay.sf · Accepted Answer · 2022-02-07 06:37:47Z

1

You may do this with a one-liner using low level graphics.

barplot(t(df[-1]), beside=TRUE, names.arg=df$A, col=2:3, legend.text=names(df)[-1])

Data (borrowed from TarJae):

df <- structure(list(A = c("First", "Second", "Third", "Fourth"), B = c(44, 
54, 32, 45), C = c(23, 12, 45, 34)), class = "data.frame", row.names = c(NA, 
-4L))

answered Feb 7, 2022 at 6:37

jay.sf

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