30 Day Map Challenge was created by Topi Tjukanov. Here's a collection of notebooks from around the world of Observable users who participated in the #30DayMapChallenge.
We hold ourselves accountable for our commitments. That means continued self-assessment and learning about how we can help and positively impact underserved communities and the world. We re-evaluate these commitments over time.
Checkout what the Observable Ambassadors have been working on! Learn more about the program at observablehq.com/ambassadors
A collection of notebooks created by Zan Armstrong showing how using Inputs + Plot can provide new solutions to common data visualization challenges, including both explanations and forkable examples.
Submissions from our 2022 Black History Month Activity, Winners of our 2021 Black History DataViz Contest, and other notebooks exploring Black history.
This collection contains changelogs from 2018 and 2019. Please see https://observablehq.com/@observablehq/observable-release-notes for the latest news on feature and product releases.
Notebooks that are featured in our Community Newsletter. https://observablehq.com/collection/@observablehq/observable-blog
Datasets curated to be comprehensive and real, yet simple and friendly. Ideal for learning, teaching and web based demonstration of data analysis and visualization.
Workflows for creating content on Observable & sharing it with the world.
A selection of election-related data visualizations created by our community, the Observable Journalism Network, and our team. Explore maps, voter wait times, paths to victory, and more.
Observable is committed to helping and contributing to social justice and equality. We will enable data exploration for these efforts. We value prioritizing marginalized people’s safety over privileged people’s comfort.
These notebooks generate the images used in our various site error pages (such as 404). They’re mostly forked and adapted from the work of community members. Feel free to fork them yourself and play around some more.
Get inspired by the work of these amazing authors, nominated by members of the Observable team.