Getting started with Seaborn

Before we delve any deeper and get ready for an immersive experience of learning to build plots using Seaborn, watch this video to:

• explore the various features of Seaborn and the importance of such Python libraries for data visualisation
• understand how Seaborn is different from or, even in some cases, similar to Matplotlib
• identify the various aspects of the library that you will learn in this step of the course.

Download your Jupyter Notebook

Before you progress any further this week, download your accompanying Jupyter Notebook. The Notebook contains only the code snippets that you can run to get an immersive and interactive experience as well as instant outputs of the codes alongside the explanations.

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

Download: Introduction to Seaborn

You’ll find a set of interesting activities to check your knowledge later on in this course.

Data sets

Download the zipped file here containing the datasets as CSV files that you would require to conduct the demonstrations in this week. Be sure to extract the files and save them individually in the same folder as your Jupyter Notebooks.

Download: Data sets

All the data in the zip file is sourced from the Github link. [1]

References

1. Github dataset [Internet]. Github; [date unknown]. Available from: https://github.com/mwaskom/seaborn-data