Customize Legend of plotly Graph in R (Example)
Hello once again! I am happy to welcome you to another interesting tutorial on Statistics Globe. In this one, I will show you how to customize the legend of your plotly graph using the R programming language.
But before we start coding, let us get a quick overview of what we shall be doing in this tutorial:
With that, let’s get into it!
Install R plotly Library
This line of code will install plotly in your R programming environment.
Load R plotly Library
Next, we need to load the R plotly library. Therefore, run the line of code below to do just that:
Plotly will be loaded and all its dependencies too, which means we can now use all of its plot-building functions in our project.
You will also need to install and load the R dplyr library, which will make it possible to run lines of code as a chunk, using the pipe operator. Therefore, run the lines of code below to install and load dplyr:
Build plotly Bar Plot
Now, we are going to build a simple bar plot that includes a plot legend. We will create our own data frame of different fruits and their quantities:
fruits <- data.frame( fruits = c("Oranges","Mangoes","Pineapples","Watermelons","Apples","Peaches"), quantity = c(100,85,97,120,70,110) )
You can view the data frame by running
# fruits quantity #1 Oranges 100 #2 Mangos 85 #3 Pineapples 97 #4 Watermelons 120 #5 Apples 70 #6 Peaches 110
Let’s now build a plotly bar plot with a legend to visualize the data frame above. Kindly run the code chunk below to build a bar plot:
fig <-fruits |> plot_ly(x = ~fruits,y = ~quantity,color = ~fruits,type = "bar") |> layout(title = "A Fruity Bar Plot") fig
In the above bar plot, we see the plot legend on the right-hand side of our visualization, and you can toggle each item in the legend box.
Now, let us customize the look of our legend box, which is the objective of this tutorial. We are going to add a legend title, set the font family, size, and color, then color the background of the legend box, thicken the border of the box, change the legend orientation, and adjust the legend position.
We will first create a list containing all of these customizations, and then apply the list to the bar plot:
l <- list( font = list( family = "sans-serif", size = 10, color = "green"), bgcolor = "#E2E2E2", bordercolor = "black", x = 0, y = 1, orientation = "h", borderwidth = 3, title=list(text='<b> Fruits </b>')) fig <-fruits |> plot_ly(x = ~fruits,y = ~quantity,color = ~fruits,type = "bar") |> layout(title = "A Fruity Bar Plot", legend = l) fig
In the plot above, we set the font family to sans-serif, set the font color to green, and also used the html b tag to make the legend title bold. We also changed the legend box orientation from vertical to horizontal and used the x and y coordinates to reposition the box.
There are still many customizations that can be done to a plotly legend, but we have touched on just a few of these in this tutorial.
Now, you can enjoy customizing the legend of your plotly graph going forward with what you have learned in this tutorial. Therefore, I hope you liked this tutorial, and I can’t wait to see you in the next one!
Video, Further Resources & Summary
Do you need more explanations on how to customize the legend of your plotly graph using the R programming language? Then you should have a look at the following YouTube video of the Statistics Globe YouTube channel.
In the video, we explain in some more detail how to customize the legend of your plotly graph using R.
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Furthermore, you could have a look at some other tutorials on Statistics Globe:
- Percentage as Axis Ticks Labels in plotly Graph in R (Example)
- Format Title of plotly Graph in R (Example)
- Change plotly Axis Range in R (Example)
- Modify plotly Axis Label in R (Example)
- Change Colors of plotly Graph in R (Example)
- Learn R
- How to Draw a plotly Boxplot in R (Example)
This post has shown how to customize the legend of your plotly plot using the R programming language. In case you have further questions, you may leave a comment below.
This page was created in collaboration with Ifeanyi Idiaye. You might check out Ifeanyi’s personal author page to read more about his academic background and the other articles he has written for the Statistics Globe website.
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