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:
- Download the slides for session 1 (pdf, 25.5 MB)
- Download the slides for session 2
- Download the slides for session 3
Finding useful datasets
- Google Dataset Search: datasetsearch.research.google.com
- Kaggle: kaggle.com
- data.world: data.world datasets
- Or read our blogpost: Small datasets to practice your data visualization skills
Inspiration for data visualization
- Information is Beautiful: informationisbeautiful.net
- Information is Beautiful awards: informationisbeautifulawards.com
- Visual.ly: visual.ly/view
- Pinterest: pinterest.com
- Dear data: dear-data.com
Digital tools to create infographics and data visuals
- Canva: canva.com
- Infogram: infogram.com
- Piktochart: piktochart.com
- Visme: visme.co
- Venngage Infographic maker and Graph maker
- Whimsical: whimsical.com
- Adobe Illustrator: adobe.com
- Affinity Designer: affinity.serif.com
- Flowchart tool: draw.io
- BioRender (like Canva, but specifically for life sciences): biorender.com
- List of dataviz tools: creativebloq.com/design-tools/data-visualization
- ggplot2 cheat sheet: https://www.maths.usyd.edu.au/u/UG/SM/STAT3022/r/current/Misc/data-visualization-2.1.pdf
Illustrations and icons
- Freepik: freepik.com
- The noun project: thenounproject.com
Colour schemes
- Adobe Color CC: color.adobe.com
- Coolors.co: coolors.co
- Pictaculous: digitalinspiration.com/color-palette-generator
- Website color schemes: canva.com/learn/website-color-schemes
- 100 brilliant color combinations: canva.com/learn/100-color-combinations
- Article: Your friendly guide to colors in data visualisation
Typography
- Dafont: dafont.com
- Google Fonts: fonts.google.com
- FontSquirrel font identifier: fontsquirrel.com/matcherator
- Font Pairing: fontpair.co
Creating graphs
- Dataviz catalogue: datavizcatalogue.com
- Choose and design the perfect chart: chart.guide
- Choosing the right chart: infogram.com/page/choose-the-right-chart-data-visualization
- The Chartmaker Directory: chartmaker.visualisingdata.com
- The Data Viz Project: datavizproject.com
- Datawrapper: datawrapper.de
- Flourish: flourish.studio
- LocalFocus: localfocus.nl
- D3.js: d3js.org
Creating maps
- Snazzy maps (Google maps styles): snazzymaps.com
- Mapbox: mapbox.com
- Mapme: mapme.com/stories
- Datawrapper: datawrapper.de
- Leaflet JavaScript Library: leafletjs.com
- 3D maps with QGIS and Aerialod: statsmapsnpix.com
- Read our blogpost: Behind the maps
Creating tables
- The Ultimate Guide to Designing Data Tables
- Table inspiration: fivethirtyeight.com
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
- Twitter list: Dataviz world leaders
Videos about data visualization
- The beauty of data visualization (David McCandless)
- Journalism in the age of data (Geoff McGhee)
- Datafest Tbilisi (dozens of free talks)
- Outlier 2021 (62 free talks)
Dataviz blogs and online magazines
- Chartable (by the Datawrapper team)
- Cool Infographics (Randy Krum)
- Flowing Data (Nathan Yau)
- Infographics for the People (John Grimwade)
- The Information is Beautiful blog (David McCandless)
- Junk Charts (Kaiser Fung)
- Nightingale (by the Data Visualization Society)
- The Storytelling with Data blog (Cole Nussbaumer Knaflic)
- The Visme blog on infographics
- Visualising Data (Andy Kirk)
Dataviz podcasts
Read more:
This chart is trying to trick you
The original chart in this example is trying to suggest a strong correlation between sugar intake and obesity in the US between 1980 and 2000. It does so by carefully choosing the vertical axis ranges and scaling so both lines nicely fall on top of each other.
Research visuals: all the resources you’ll ever need!
If you want to start creating clear and attractive visuals about your research, but don't know where to start, this page is for you! Here's a complete overview of tools, resources and inspiration you can use as a starting point for your designs.
Small datasets to practice your data visualization skills
When you're teaching data analysis or data visualization, or when you're learning new data visualization tools and techniques, you might be looking for datasets to practice with. Here are some great starting points.
How to create a graphical abstract
Graphical abstracts are becoming more and more important. Journal publishers such as Elsevier encourage you to create a concise visual summary of the main findings of your research. But where to start? What steps should you follow to create the perfect graphical abstract for your article? What tools can you use?
Behind the maps
In the 30-day Map Challenge, you are challenged to design a new map every day around a certain topic. I participated in November 2020, and wrote this post to share my thought processes, data sources, tools and results!
Storytelling with Data: Dataviz book review
The Storytelling with Data book has been on my wishlist as long as I can remember, because so many people recommend it as one of the must read dataviz books. So let's see what the fuzz is all about - here's my review!
We are really into visual communication!
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