An Award-winning Data Visualization Designer

On power, aesthetics, materiality and change in data visualization

Notes from the Information+ Conference at MIT/Northeastern University, Boston.

A checklist for designing and improving the visualization of scientific data

Creating clear and engaging scientific figures is crucial to communicate complex data. In this Comment, I condense principles from design, visual perception and data visualization research in a checklist that can help researchers to improve their data visualization, by focusing on clarity, accessibility and design best practices.

D3

The JavaScript library for bespoke data visualization

Chart Design Principles | Hands-On Data Visualization

Tell your story and show it with data, using free and easy-to-learn tools on the web. This introductory book teaches you how to design interactive charts and customized maps for your website, beginning with easy drag-and-drop tools, such as Google Sheets, Datawrapper, and Tableau Public. You will also gradually learn how to edit open-source code templates built with Chart.js, Highcharts, and Leaflet on GitHub. Follow along with the step-by-step tutorials, real-world examples, and online resources. This book is ideal for students, non-profit organizations, small business owners, local governments, journalists, academics, or anyone who wants to tell their story and show the data. No coding experience is required.

Mosaic

Scalable, interactive data visualization

Show me the data - Design Notes

Cosmograph: Beautiful visualization and analytics right in the browser | Cosmograph

Beautiful visualization and analytics right in the browser

Observable Canvases | Explore and visualize data together

Observable’s collaborative data canvas helps you explore data, perform analysis, and build expressive charts and dashboards.

Information is Beautiful

Distilling the world's data, information & knowledge into beautiful infographics & visualizations

Introducing Observable Canvases

A new way to explore, visualize, and collaborate with data — all in one shared canvas.

Drawing a map of distributed data systems — Martin Kleppmann’s blog

How we created an illustrated guide to help you find your way through the data landscape.

loukesio/ltc-color-palettes

"ltc_palettes: Tailored for data visualization enthusiasts, ltc_palettes is an R package that offers a curated collection of color palettes. Crafted to enhance clarity and impact, these palettes ensure that your visual representations not only communicate data effectively but also aesthetically

Open source Business Intelligence and Embedded Analytics

Metabase open source business intelligence and embedded analytics. Create and share dashboards. Dig deeper into your data with no-code tools for data visualization.

Blog - C82: Works of Nicholas Rougeux

C82 is dedicated to the works of Nicholas Rougeux, including data art, visualization, and design.

DR Group

For high-dimensional data, dimensionality reduction (DR) methods have been invaluable tools for human understanding, as they can map datasets into two or three dimensions for visualization, providing an intuitive way to understand the data. In recent years, tons of DR methods for data visualization have been proposed, and some are much better than others. In this blog post, we explore several DR methods, discuss how to determine which methods are effective, and explain why some are better than others.