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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.
Explaining code.
Keep up to date on features, functionality and fun news at Observable.
Keep up with the latest features and improvements to Observable.
A selection of notebooks related to COVID-19 and SARS-CoV-2.
A collection of examples of US County based maps for reference and inpsiration
Learn how Observable works, from first edit to publish.
Product documentation and user guides
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.
Notebooks can be embedded and customized anywhere on the web (or off it).
Observable will work to further the goals of equality. We will enable data exploration for justice. We are committed to prioritizing marginalized people’s safety over privileged people’s comfort. We will not be silent. We will act.
Be an active reader with these playful interactive explanations.
Get inspired by the work of these amazing authors, nominated by members of the Observable team.
Brand new and recreated vintage art, made with code and imagination.
Learn Observable step by step with a series of guided exercises.
A collection of notebooks shared on Instagram
Welcome to Observable! Get started with these tutorials.
JavaScript powers Observable, but you may encounter subtle surprises due to the reactive runtime. Keep your JS notebook-friendly with these techniques.
Reusable notebooks, ready for import and remix.
Embrace your inner shapefile. Or GeoJSON or TopoJSON. 🌍
Understand the fundamental concepts & techniques for working with Observable notebooks.
This collection includes Observable's company values and information on our company culture.
A set of notebooks introducing Observable to enterprise customers
A tailored introduction to Observable from the Jupyter & Python perspective.
So you want to make a chart…
High-level documentation of the core concepts & motivation behind Observable.
Showing 1-30 of 45 collections