Books on a bookshelf - infographics resources

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

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:

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:

Small multiples can save your chart

When you're dealing with a chart that has too much information on it, the most straightforward advice to follow is: break it down into multiple charts, each with less information on them. A powerful example of this is a so-called small multiple approach.

Read More

Data visualization podcasts 2023

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.

Read More

thumbnail for video 10 - can you use excel to create a powerful chart

Can you use Excel to create a powerful chart?

Spreadsheet tools such as Microsoft Excel or Numbers might not be the first thing on your mind when considering data visualization tools, but they can be pretty solid choices to build data visuals. Don’t let anyone convince you that using Excel to create data visuals is unprofessional.

Read More

thumbnail for video 09 - choosing the right font for your data visual

Choosing the right font for your data visual

Fonts evoke emotions: there are very sophisticated fonts, playful fonts, attention-grabbing fonts, and elegant handwritten fonts. Using the wrong type of font can have a lot of impact. In data visualization the implications of typography are mainly focused on readability. Labels and annotations can easily become so small they get hard to read. Above all else, we should choose a font which is readable at small sizes.

Read More

thumbnail for video 08 - three roles of colour in a data visual

Three roles of colour in a data visual

Colour is one of the most crucial tools we have to turn a normal chart into a powerful chart with a clear message, a chart which tells a story rather than simply presenting the information.

Read More

thumbnail for video 07 - 7 different goals for your chart

7 different goals for your chart

A crucial step in building a powerful chart is choosing the right type of chart. A lot of charts don’t work because they simply use the wrong type of chart. To avoid this trap, we must ask ourselves a basic question: what’s the ultimate goal of our data visual? What do we want to show with our data?

Read More

We are really into visual communication!

Every now and then we send out a newsletter with latest work, handpicked inspirational infographics, must-read blog posts, upcoming dates for workshops and presentations, and links to useful tools and tips. Leave your email address here and we’ll add you to our mailing list of awesome people!