Radar Plot using Python

A radar plot is also known as a spider plot or a star plot. It is used to display multivariate data as a two-dimensional visualization of quantitative features that are represented on axes coming from the centre. In this article, I’ll walk you through how to visualize a radar plot using Python.

What is a Radar Plot?

Radar charts are used to make comparisons between different observations. For example, if you want to compare the cost of producing, selling, and promoting a product, you can use a radar chart. The purpose of viewing data in a radar plot is to analyze a graph of values over multiple features.

To create a Radar plot, we need to give an axis to each feature in a way that all the axis are present radically around the centre. Then we plot the data on each axis like a scatter plot but the points of the plot connect in a way that creates a polygon. In the section below, I will take you through a tutorial on how to visualize a radar plot using Python.

Radar Plot using Python

Hope you now understand what radar plots are and why we need to use them. In short, they are used to visualize multivariate data as a two-dimensional graph of quantitative characteristics. Now let’s see how to visualize a radar plot with Python. For this task, I’ll be using the plotly library in Python which is used to create interactive visualizations:

radar plot

Also, Read – Python Projects with Source Code.


So this is how we can visualize a Radar graph with the Python programming language by using the plotly library in Python. This graph is used for drawing comparisons between multiple observations. I hope you liked this article on how to visualize a Radar plot using Python. Feel free to ask your valuable questions in the comments section below.

Default image
Aman Kharwal

I am a programmer from India, and I am here to guide you with Data Science, Machine Learning, Python, and C++ for free. I hope you will learn a lot in your journey towards Coding, Machine Learning and Artificial Intelligence with me.

Leave a Reply

Data Science | Machine Learning | Python | C++ | Coding | Programming | JavaScript