GGPLOT2 bar chart

[Ericnguyen]

hi, i have this problem where i need to plot a bar chart for a certain number of variable, but i need 3 grouping bars represent 3 different information for each variable for comparing all of them in one chart.
i was wondering is it possible to do so i can only have 1 bar, this is what i've got so far and it only show bar graph of the 1st variable being x and the 2nd one, i'm trying to show all the other 3 on for each of the 'company' but dont know how:

library(ggplot2)
library(dplyr)
library(tidyverse)
information <- data.frame(company = c('Instagram', 'Netflix', 'Youtube', 'Amazon', 'Facebook',
'Linkedin', 'Twitter', 'Uber', 'Tinder', 'Zoom', 'Apple', 'Tiktok', 'Spotify', 'Microsoft'),
word_count = c(2451, 2628, 3308, 3416, 4132, 4346, 5633, 5658,
6215, 7243, 7314, 7459, 8600, 15260),
Readtime= c(10.21,10.95,13.78,14.23,17.22,18.11,23.47,23.58,25.9,
30.18,30.48,31.08,35.83,63.58),
readingscore= c(54,45,50,45,56,54,39,40,46,42,47,44,44,54))

ggplot(information, aes(x = company, y = word_count)) +
geom_bar(stat = "identity", position = 'dodge')

thanks

[andresrcs]

Hi!

To help us help you, could you please prepare a reproducible example (reprex) illustrating your issue? Please have a look at this guide, to see how to create one:

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.…

[Ericnguyen]

hi, thank you i have already edit it and add in what i have so far, i'd appreciate your reply and also it'd be great if you can have a look and maybe have some idea on how i can solve this problem thanks a lot

[andresrcs]

I think this is what you mean but the scale differences among variables makes the plot hard to read

library(tidyverse)

information <- data.frame(company = c('Instagram', 'Netflix', 'Youtube', 'Amazon', 'Facebook',
                                      'Linkedin', 'Twitter', 'Uber', 'Tinder', 'Zoom', 'Apple', 'Tiktok', 'Spotify', 'Microsoft'),
                          word_count = c(2451, 2628, 3308, 3416, 4132, 4346, 5633, 5658,
                                         6215, 7243, 7314, 7459, 8600, 15260),
                          Readtime= c(10.21,10.95,13.78,14.23,17.22,18.11,23.47,23.58,25.9,
                                      30.18,30.48,31.08,35.83,63.58),
                          readingscore= c(54,45,50,45,56,54,39,40,46,42,47,44,44,54))

information %>% 
    gather(metric, value, -company) %>% 
    ggplot(aes(x = company, y = value, fill = metric)) +
    geom_col() +
    theme(axis.text.x = element_text(angle = 45, hjust = 1, vjust = 1))

^{Created on 2021-05-04 by the reprex package (v2.0.0)}

Maybe consider faceting the plot

information %>% 
    gather(metric, value, -company) %>% 
    ggplot(aes(x = company, y = value, fill = metric)) +
    geom_col() +
    facet_wrap("metric", scales = "free_y", ncol = 1) +
    theme(axis.text.x = element_text(angle = 45, hjust = 1, vjust = 1))