An Award-winning Data Visualization Designer

GitHub - observablehq/plot: A concise API for exploratory data visualization implementing a layered grammar of graphics

A concise API for exploratory data visualization implementing a layered grammar of graphics - observablehq/plot

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.

Cosmograph: Beautiful Visualization and Analytics | Cosmograph

Beautiful Visualization and Analytics

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

Observable Canvases | Explore and visualize data together

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

10 Years of Open-Source Visualization

An Observable notebook by Mike Bostock

Information is Beautiful

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

12 Python Data Visualization Libraries to Explore for Business Analysis | Mode

This list is an overview of 10 interdisciplinary Python data visualization libraries including matplotlib, Seaborn, Plotly, Bokeh, pygal, geoplotlib, & more.

visgl/luma.gl

High-performance Toolkit for WebGL-based Data Visualization

Introducing Observable Canvases

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

visualising data structures and algorithms through animation - VisuAlgo

VisuAlgo was conceptualised in 2011 by Associate Professor Steven Halim (NUS School of Computing) as a tool to help his students better understand data structures and algorithms, by allowing them to learn the basics on their own and at their own pace. Together with his students from the National University of Singapore, a series of visualizations were developed and consolidated, from simple sorting algorithms to complex graph data structures. Though specifically designed for the use of NUS students taking various data structure and algorithm classes (CS1010/equivalent, CS2040/equivalent (inclusive of IT5003)), CS3230, CS3233, and CS4234), as advocators of online learning, we hope that curious minds around the world will find these visualizations useful as well.