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Visualisations bring the “ooooh” factor to data-driven journalism, but their purpose is greater than simply making your story “pretty”. They bring data to life, help you to analyse and explore your data and find story angles that you may not have identified. They enable you to communicate more effectively with your audience too.
In this fourth module of The Fundamentals of Data Journalism course, you will learn about the essentials of data visualisation, how to avoid pitfalls by following best practises and gain practical application skills in creating your own charts with two popular (and free) visualisation tools.
This module contains short videos with accompanying presentations and resources.
Getting started with data visualisations
What is data visualisation? Why do we use it? What is the data pipeline? So many questions…We have the answers for you.
Best practises
Just because it looks good, doesn’t mean that it is. In this video, we’ll share some best practises to help you choose appropriate charts and not fall into the traps of what not to do.
Finding your own data
Being able to find your own data by using web scraping techniques and tools is an invaluable skill. How does this fit into visualisation? The data that you source and “liberate” can be easily turned into visualisations for analysis as well as publication.
This video has been divided into three parts:
3.1 Overview: “What is web scraping?”
Download and explore all the resources that are used in this module
Module documents and resources
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