Ready, Steady, Viz! Tips, tricks and no-code resources for stand-out data visualisations

Inaugural talk on for the Black in Psych 2024 Summer Series | 12 resources, and many tips besides for creating compelling and memorable visualisations

Two hours, 12 resources, many many tips and tricks. In this fast-paced workshop, we look at how to make the most of colour to make our stories easier to communicate, how to optimise text to keep the main thing the main thing, and how to choose the right type of visualisation for the data and story we’re working on.

I also pointed to 12 no-code (and free!) resources, which I have listed below the video.

Happy datavizing!

Recording

Resources

Colours

• Extracting colours from images: imagecolorpicker.com
• Creating colour palettes from scratch: paletton.com
• A super thorough blog post on colours in dataviz by Lisa Charlotte Muth: blog.datawrapper.de/colors-for-data-vis-style-guides/
• Manipulating colours: monochromeR Shiny App
• Checking your palette for accessibility: vis4.net/palettes

Text

• Typography tips and resources: pimpmytype.com/ by Oliver Schöndorfer
• Checking the accessibility of text colour vs background colour: colourcontrast.cc/
• Choosing and installing custom fonts for dataviz: Getting fonts to work in R

Choosing the right dataviz

• Dataviz decision tree with no-code and code-based solutions: datavizcatalogue.com by Severino Ribecca
• Dataviz decision tree with solution in R, D3 and Python: data-to-viz.com by Yan Holtz

Making life easier for yourself

• Create Excel styles that you can use across all your spreadsheets: Figma styles tutorial
• Create Figma styles for easy replication (and quick changes) within a project: Excel styles tutorial