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Tools to Help You Create Effective and Compelling Data Visualisations
Creating effective data visualisations is essential for any data scientist, geoscientist or petrophysicist. By learning these skills, we can ensure that we can get across our research and analysis results to our intended audience. By understanding our audience, we can tweak the charts and the messages accordingly, for example, we could have a more simplified and artistic chart for the general public but a more complex one for presenting at a conference with our peers.
Developing data visualisation skills can take time and practice; however, there are numerous free resources available on the internet which can help you with the process.
These resources range from explaining data visualisation best practices to selecting appropriate colour schemes and providing inspiration for your next visualisation.
Within this article, I share four of my favourite resources for working with data visualisations which you may find useful and interesting.
I am not affiliated with any of the resources listed below — I just want to share various tools to help fellow data scientists improve their data visualisation skills.
Making effective charts involves making your data and message as straightforward as possible. This includes avoiding 3D pie charts, not presenting too many bars on a bar chart and avoiding too many colours to represent the data.
However, these rules should sometimes be used as guidance, as there may be times when you need to trend away from them to create the effect you are after.
This is where the 99 Data Viz Rules Project comes in. It is a project developed by a UK-based digital agency, addtwo digital, that specialises in delivering lectures and seminars to help people communicate more effectively through data visualisations.
As a result of a student question about creating a checklist to follow when creating data visualisations, the company…
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