Interested in learning how to use Chart cell? This guide will walk through everything you need to know to make visualizations in Observable with no code.

Check out our new website for Plot documentation! Dozens of new guides, hundreds of examples, instant search, dark mode, and more.

New to wrangling data in JavaScript? This notebook walks through common data manipulations across several languages so you can learn how to do your data workflows in JS.

Need a mock dataset to work with? Pizza Paradise is a dataset generated by the Observable team that has real trends to use for prototype visualization and analysis.

A walkthrough of our newest cell type, the Chart cell, a no-code option for building, exploring, and customizing charts with Observable Plot.

Learn how to build beautiful maps with Observable Plot.

Organize your notebooks on Observable by using Tags. Tags allow others to find your notable work, for you to explore new themes of content, and for you to organize your work in new ways.

Check out our newest walkthrough of Observable that explains the different ways you can use notebooks for data analysis and visualization.

Our SQL cells can now display interactive summary charts as part of the results table!

We kept finding ourselves looking for good datasets to use to demonstrate, teach and discuss working with data. In our search we realized we'll never find the One True Dataset, so we started developing this collection of curated datasets.

We designed Observable Plot’s API to be succinct so that when you want to visualize data, you can do it quickly and without struggling to remember Plot’s API. This notebook showcases Plot’s “shorthand” syntax

Plot Cheatsheets is an interactive overview of the foundational concepts of the Observable Plot library including: Marks, Scales, Transforms, Layout & Colors.

This year, we would like to recognize some members of our community who have gone above and beyond to be engaged and supportive community members as we continue on the journey of making data accessible to everyone.

What makes the Observable community of data collaborators so unique? Check out our State of Dataviz research report to find out!

Today, we are launching the first set of Observable Templates. Now, you can create expressive and interactive data visualizations, charts and dashboards, without starting from a blank slate. And, you can use these templates without expertise in dataviz!

Our User Research templates help you quickly visualize product usage data. Learn how to quickly explore and analyze survey responses with the Survey Report Builder template.

A semi-guided tutorial for data exploration with Observable Plot.

Data Wrangler provides an interface to guide code composition using the Arquero package, a robust data wrangling library based on the grammar of data manipulation.

We are thrilled to announce Observable Plot, a new open-source JavaScript library for exploratory data visualization.