treemap blog thumbnail

Observable logo

d3 Claude thumbnail

Self-serve analytics blog thumbnail

designing-histograms-thumbnail

Robert Kosara Headshot

obs-near-white

new-canvas-charts-ga-blog

Best chart types

Allison Horst headshot

radar charts blog thumbnail

Grid cartogram blog thumbnail

reshaping data for plot and d3 thumbnail

Trevor Eddy headshot

fast-charts-blog-thumbnail

Allison Horst

Trevor Eddy

Observable

Robert Kosara

There are many factors that go into data visualization decisions, but one of the most important is selecting the right chart. This post outlines which charts work best for different types of data.  

Choosing the right chart for your data

Advanced, interactive charts can be hard to build from scratch. But in Observable Canvases, you can make and share them in minutes. We highlight six new charts now available in canvases: Sankey diagrams, beeswarm charts, streamgraphs, bump charts, arc maps, and circle packing charts.

Expanding our suite of built-in charts in Observable Canvases

Grid cartograms are thematic maps that represent spatial regions with simplified geometric shapes like squares or hexagons. In this overview, we introduce grid cartograms, highlight pros and cons of this chart type, describe common alternatives, and share resources that can help you start building them with Observable.

What is a grid cartogram?

There was so much hype around the promise of self-serve analytics: data-driven insights, efficiency gains and competitive advantage. In this post, we outline why self-service analytics has failed, and if its promise can ever be realized.

Why has the promise of self-serve analytics failed?

The Observable team and community have created thousands of openly shared data visualizations in Observable Plot and D3. To easily reuse them, your data needs to be in the expected shape. Learn about the data shapes that many Plot and D3 charts consume, and how to transform your data so you can drop it into existing examples.

Reshaping data for visualizations with D3 and Observable Plot

In Observable Canvases, charts representing millions of records are generated almost instantaneously. Learn how we keep data visualizations fast by limiting data returned by SQL queries and giving charts just the information they need.

Big data, fast data visualizations

Given how common histograms are in BI tools, you might think they’re easy to design. Think again. We share challenges we encountered, and how we handled them, while designing better out-of-the-box histograms in Observable Canvases.

Designing better out-of-the-box histograms

An exploration of using Claude to help write basic D3 code for time series data

How effective are AI tools for writing D3 code?

We took a look at where treemaps originated, and how this common data visualization is used on BI dashboards today

A brief history of treemaps

Few chart types are irredeemably bad, but the radar chart definitely is. In this post, we share why radar charts are ultimately a poor representation of data.

Data visualization insights