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Introduction to highlighting the data

Learn about highlighting data

Before we delve any deeper and get ready for an immersive experience of learning different features of styling and visualising the data creatively in data analytics, uncover the concepts of highlighting the data and using colour in the visualisation, which we will be covering in the next step.

Watch this video to:

  • explore the techniques to highlight the data on different kinds of plots, such as: scatter plot, line plot, and bar plot
  • to understand how to use different plots to compare groups of data
  • interpret various annotation styles on different plots
  • explore colour maps in data visualisation on Matplotlib
  • understand the application of colour palette in data visualisation using Matplotlib
  • categorise color palette to segregate the data using Matplotlib.

Before you continue, download your accompanying Jupyter Notebook containing explanations and codes in cells that you can run to receive outputs.

The Notebook contains only the code snippets that you can run to get an immersive and interactive experience as well as instant results of the codes alongside the explanations.

Make the best use of this opportunity to familiarise yourself with using the Notebook.

Download: Highlighting Your Data Content

At the end of this step, there is an activity to check your knowledge.

Let’s get started!

Are you excited to learn techniques of highlighting different plots on Matplotlib? What are you expecting to learn from this activity?

Share your thoughts in the comment section below.

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Data Visualisation with Python: Seaborn and Scatter Plots

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