How to create a scatter plot using plotly in R?
This recipe helps you create a scatter plot using plotly in R
Recipe Objective
Scatter plot is the simplest chart which uses cartesian coordinates to display the relation between two variables x and y. It is used to find any trend or relationship between the two variable.
In this recipe we are going to use Plotly package to plot the required scatter plot. 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 simple scatter plot in R using plotly package.
STEP 1: Loading required library and dataset
Dataset description: It is the basic data about the customers going to the supermarket mall. The variables that we are interested in: Annual.Income (which is in 1000s) , Spending Score and Age
# Data manipulation package
library(dplyr)
library(tidyverse)
# reading a dataset
customer_seg = read.csv('R_123_Mall_Customers.csv')
# selecting the required variables using the select() function
customer_seg_var = select(customer_seg, Age, Annual.Income..k..,Spending.Score..1.100.)
# summary of the selected variables
glimpse(customer_seg_var)
Observations: 200 Variables: 3 $ Age19, 21, 20, 23, 31, 22, 35, 23, 64, 30, 67, 35… $ Annual.Income..k.. 15, 15, 16, 16, 17, 17, 18, 18, 19, 19, 19, 19… $ Spending.Score..1.100. 39, 81, 6, 77, 40, 76, 6, 94, 3, 72, 14, 99, 1…
STEP 2: Plotting a scatter plot using Plotly
We use the plot_ly() function to plot a scatter plot between annual income and spending score variables.
Syntax: plot_ly( data = , x = , y = , color = )
Where:
- x = variable to be plotted in x axis
- y = variable to be plotted in y axis
- data = dataframe to be used
- color = group the points based on a factor variable using colour
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(x = ~Annual.Income..k.., y = ~Spending.Score..1.100.,
data = customer_seg,
color = ~Gender) %>% layout(title = 'Scatter Plot using Plotly')
embed_notebook(fig)
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