How to create a bar chart using plotly in R?
This recipe helps you create a bar chart using plotly in R
Recipe Objective
A bar chart is a type of graph which allows us to compare the unique categories of a categorical variable in a dataset. In this type of graph, data can be represented by vertical or horizontal bars.
In this recipe we are going to use Plotly package to plot the required bar chart. Plotly package provides an interface to the plotly javascript library allowing us to create interactive web-based graphics entrirely in R. Plots created by plotly works in multiple format such as:
- R Markdown Documents
- Shiny apps - deploying on the web
- Windows viewer
Plotly has been actively developed and supported by it's community.
This recipe demonstrates how to plot a bar chart in R using plotly package.
STEP 1: Loading required library and dataset
We will use an example of Expenses made by a student
# Data manipulation package
library(tidyverse)
# Lattice package for data visualisation
install.packages("plotly")
library(plotly)
# Type of expense
type_of_expense = c('Rent', 'Grocery', 'Transport')
# Amount
Amount_USD = c(7000, 3500, 900)
#creating a dataframe
df = data.frame(type_of_expense,Amount_USD)
STEP 2: Plotting a bar plot using Plotly
We use the plot_ly() function to plot a bar plot.
Syntax: plot_ly( data = , x = , y = , type = "bar" )
Where:
- data = dataframe to be used
- x = categorical variable to be plotted on x-axis
- y = values corresponding to each categorical variable to be plotted on y-axis
- color = to change the color of the bar
- type = type of chart (in our case "bar")
Note:
- The %>% sign in the syntax earlier makes the code more readable and enables R to read further code without breaking it.
- We also use layout() function to give a title to the graph
fig <- plot_ly(data = df, x = ~type_of_expense, y = ~Amount_USD, type = "bar",
color = "orange") %>% layout(title = 'bar chart using Plotly')
embed_notebook(fig)
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