Data Visualization Resources

Hundreds of charts are displayed in several sections, along with reproducible code.

Hundreds of charts are displayed in several sections, along with reproducible code.

Hundreds of charts are displayed in several sections, along with reproducible code.

Plotly's Python graphing library makes interactive, publication-quality graphs.

Python is a programming language that lets you work quickly and integrate systems more effectively.

Analysis that explains politics, policy and everyday life, with an emphasis on data and charts.

Visualizing gaps between women and men across four key areas: health, education, economy and politics.

Explore, visualize and analyze data using interactive D3 notebooks.

Learn how to use Houdini for a cinematic presentation of science.

This series of interactive notebooks will guide you through your first steps with D3.js.

A Javascript library for interactive maps.

A weekly datavis blog featuring charts made using Datawrapper.

Explore our Solar System with this beautiful visualization made by the New York Times.

The R Graphics Cookbook is practical guide that provides more than 150 recipes to help you generate high-quality graphs quickly.

RStudio is an integrated development environment (IDE) for R.

R is a free software environment for statistical computing and graphics.

This free online book introduces the R package ggplot2 for data analysis.

p5.js is a JavaScript library for creative coding, with a focus on making coding accessible and inclusive for artists, designers, educators, beginners, and anyone else!

Vega-Lite is a high-level grammar of interactive graphics. It provides a concise, declarative JSON syntax to create an expressive range of visualizations for data analysis and presentation.

Vega is a visualization grammar, a declarative language for creating, saving, and sharing interactive visualization designs.

Blender is a free and open source 3D creation suite.

Easy to learn and extremely powerful: Cinema 4D is the perfect package for all 3D artists who want to achieve breathtaking results fast and hassle-free.

Houdini is a procedural system that empowers artists to work freely, create multiple iterations and rapidly share workflows with colleagues.

Create charts and maps with Datawrapper. No code or design skills required.

The quick drag-and-drop interface of inzight makes it easy to create graphs of your data.

Explore and explain your data with beautiful visualizations and stories. No need to code or install software.

Create infographics and data visualizations without programming.

RAWGraphs is an open source data visualization framework for non-programmers.

Explore data driven journalism by The Economist

The exceptional data visualization library. D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.

Explore data driven journalism by Reuters.

Explore D3's API methods and view open source examples.

Use InZight and Adobe Illustrator to create the charts featured in datavis book The Truthful Art.

Data of international migration help us understand why people move.

The KANTAR IIBA Awards showcases some of the world’s best data visualization.

How do you make sure a model works equally well for different groups of people?

An analysis of the OpenStreetMap data in North Korea.

This guide teaches the basics of manipulating data using JavaScript and D3 in the browser.

A collection of charts in the year 2018-2019 by The Economist's Data Journalism department.

A plugin to transform Illustrator charts into responsive and ready-to-use HTML and CSS.

Bring your stories to life with interactive and scrollable visualisations.

A series of 25 lessons that will take you from absolute beginner to an expert in D3.

Learn the fundamentals of Data Visualization with this online book.