How to create a violin plot using plotly in R?
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# How to create a violin plot using plotly in R?

This recipe helps you create a violin plot using plotly in R

0

## Recipe Objective

Violin plots are similar to boxplots which showcases the probability density along with interquartile, median and range at different values. They are more informative than boxplots which are used to showcase the full distribution of the data. They are also known to combine the features of histogram and boxplots. They are mainly used to compare the distribution of different variables/columns in the dataset. ​

In this recipe we are going to use Plotly package to plot the required violin 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: ​

1. R Markdown Documents
2. Shiny apps - deploying on the web
3. Windows viewer

Plotly has been actively developed and supported by it's community. ​

This recipe demonstrates how to plot a violin plot in R using plotly package. ​

Dataset description: It is the basic data about the customers going to the supermarket mall. The variable 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_132_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
\$ Age                     19, 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 Violin plot using Plotly

We use the plot_ly() function to plot a box plot between of Annual Income based on Gender.

Syntax: plot_ly( data = , x = , y = , type = "violin")

Where:

1. x = variable to be plotted in x axis
2. y = variable to be plotted in y axis
3. data = dataframe to be used
4. type = type of the chart

Note:

1. The %>% sign in the syntax earlier makes the code more readable and enables R to read further code without breaking it.
2. We also use layout() function to give a title to the graph
``` fig <- plot_ly(x = ~Gender, y = ~Annual.Income..k.., data = customer_seg, type = "violin", # to also plot box plot whiskers on top of the violin plot box = list(visible = T)) %>% layout(title = 'Violin Plot using Plotly') embed_notebook(fig) ```

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