Data Science Crash Course 10/10: Visualisation

Let’s learn Data Science in 2020

This is 10th and the final instalment of Data Science Crash Course. I’m going to discuss how to present a Data Science project so that it’s appealing and instructive to others. In other words, let’s talk about visualisation.

Visualisation in Data Science using Python

How to visualise in Python

I start by writing that a well-documented Jupyter Notebook is perfect for a visualisation, especially if you want to show your work to someone with technical background. This is often what employers expect from you to send, when you do a test problem for a job interview.

Otherwise, if you’re talking with non-technical people, you will need more visual ways to show what you have achieved like:

• plot data using plotly or matplotlib
• create a heatmap
• show statistics in a table

Here’s an example of a simple plot using matplotlib:

Matplotlib plot

The code for it is: