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.
Presentation
Institut Curie course:
- Download the slides for the session (pdf, 28MB)
Inspiration for your visuals
- Information is Beautiful: informationisbeautiful.net
- Information is Beautiful awards: informationisbeautifulawards.com
- Visual.ly: visual.ly/view
- Pinterest: pinterest.com
- Google Dataset Search: datasetsearch.research.google.com
- Dear data: dear-data.com
Digital tools to create visuals
- Canva: canva.com
- Infogram: infogram.com
- Piktochart: piktochart.com
- Venngage Infographic maker and Graph maker
- Whimsical: whimsical.com
- Adobe Illustrator: adobe.com
- Affinity Designer: affinity.serif.com
- Inkscape: inkscape.org
- BioRender (like Canva, but specifically for life sciences): biorender.com
- Free infographic templates in PowerPoint: hubspot.com/infographic-templates
- List of dataviz tools: creativebloq.com/design-tools/data-visualization
Inkscape tutorial videos
Photos to use in your visuals
- Burst: burst.shopify.com
- Flickr: flickr.com/
- Picography: picography.co
- Pixabay: pixabay.com
- Reshot: reshot.com
- Unsplash: unsplash.com
- Visual Hunt: visualhunt.com
Illustrations and icons to use in visuals
- Freepik: freepik.com
- The noun project: thenounproject.com
Photos and illustrations (specific themes)
- Cathopic, catholic pictures: cathopic.com
- Figshare, plant illustrations and more for biologists: figshare.com/authors/Plant_Illustrations
- Medical illustrations: smart.servier.com
Colour schemes for your visuals
- 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 for your visuals
- 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
Books about visuals, 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 infographics and data visualization
- Twitter list: Dataviz world leaders
Infographic 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)
Podcasts on data visualization
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.
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!
Data visualization resources: all the links 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.
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!
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