Data visualization: all the resources you'll ever need!

You want to start creating clear and attractive data visuals, but don’t know where to start? No worries, here’s a complete overview of tools, resources and inspiration you can use as a starting point for your designs.

Presentation

Doctoral Schools – Turning research data into powerful visuals:

Ngo-federatie – Introductie datavisualisatie:

Finding useful datasets

Inspiration for data visualization

Digital tools to create infographics and data visuals

Illustrations and icons

Colour schemes

Typography

Creating graphs

Creating maps

Creating tables

Ethics in data visualization

  • Dealing with outliers: https://flowingdata.com/2018/03/07/visualizing-outliers/
  • Visualizing projections and missing data: https://flowingdata.com/2018/01/30/visualizing-incomplete-and-missing-data/
  • Spurious correlations: https://www.tylervigen.com/spurious-correlations
  • About dynamite plots: http://biostat.mc.vanderbilt.edu/wiki/Main/DynamitePlots
  • Alternatives to box plots: https://nightingaledvs.com/ive-stopped-using-box-plots-should-you/
  • Visualizing the uncertainty in data (Flowing Data): https://flowingdata.com/2018/01/08/visualizing-the-uncertainty-in-data/
  • Visualizing uncertainty (Claus Wilke): https://clauswilke.com/dataviz/visualizing-uncertainty.html

Books about infographics and data visualization

  • Data visualisation, Andy Kirk
  • Dear Data, Giorgia Lupi & Stefanie Posavec
  • Information graphics, Taschen
  • Infographic designers’ sketchbooks, Steven Heller & Rick Landers
  • Storytelling with data, Cole Nussbaumer Knaflic
  • The visual display of quantitative information, Edward Tufte
  • Trees, maps and theorems, Jean-Luc Doumont
  • Visual journalism, Gestalten
  • Visual thinking, Willemien Brand

People on Twitter talking about data

Videos about data visualization

Dataviz blogs and online magazines

Dataviz podcasts

Books on a bookshelf - infographics resources

Read more:

thumbnail for video 05 - a powerful chart has a high signal-to-noise ratio

A powerful chart has a high signal-to-noise ratio

‘Less is more’. It’s a crucial principle in most of our communication, and in data visualization in particular. Because of my background as a physicist, I prefer to talk about the ‘signal-to-noise ratio’. The message - our signal - should be amplified as much as possible, giving it all of the attention. Everything that can distract from our message - the noise - should be removed.

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Data visualization podcasts

At Baryon, we’re huge fans of podcasts! Data visualization podcasts are a great way to stay up to date on the latest trends and techniques in data visualization.

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thumbnail for video 04 - a powerful chart tells a story

A powerful chart tells a story

A powerful chart has a clear message. It should be short and meaningful, and obvious in the blink of an eye. If there’s only one thing our audience remembers at the end of the day, this should be it.

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Navigating the landscape of powerful charts

Once we’ve decided to create a data visual or infographic, there are a lot of questions we should ask ourselves to determine the most suitable format. These considerations could include size, readability, possible interactive functionality, and the level of detail we need.

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Kenneth Mejia's billboard in the city of Los Angeles, showing a bar chart with a breakdown of the city budget.

How powerful charts can boost your career

An American accountant managed - as the youngest ever! - to win a crucial election in Los Angeles - thanks to the power of data visualization. And you, too, can use powerful charts to boost your career!

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Why is data visualization so challenging?

Data visualization is very powerful, but it can also be hard. That’s because a great data visual combines three different aspects simultaneously: clarity, correctness, and beauty.

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We are really into visual communication!

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