Sometime around August, a bunch of us realized we were all playing The New York Times’s daily mini crossword. We started a Slack channel & shared invite links to add each other to our in-app leaderboards, which use Observable Plot.

Input from community creators and members like you is what drives us to continually evolve Observable and we sincerely thank you for all of the incredible feedback over the past year.

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.

Observable has historically credited only one person as the author of each notebook. This didn’t reflect the reality of collaborative work. You can now list whomever you want as co-authors of any notebook.

Mike Bostock, our CTO and co-founder is the author of D3.js, an open-source library for data visualization which celebrated its 10th anniversary this year, and Observable Plot, a new library for exploratory visualization that builds on D3. We sat down with him for a Q&A.

Over the past month, the Observable Ambassadors took on the annual #30DayMapChallenge, a community effort to collaboratively create maps focused on various human interest and business-focused topics.

The biggest challenge facing our connected world today is making sense of this data with ever-increasing complexity. For businesses, there is an urgent need for cross-functional teams to quickly discover data-driven insights to inform business decisions.

Observable aims to make the end-to-end data-insights journey collaborative and efficient for cross-functional teams working with different types of data. We've recently added two new features to specifically address and streamline the end-to-end spreadsheet-based workflows: Cloud Files and xlsx pars

Imagine all the ways that data flows through an organization. People explore and analyze data. People ask critical questions of data. All of these people bring diverse skills when engaging with data - data scientists, data analysts, data engineers, developers, product managers and decision makers.

Are you trying to keep up with a complex system at your work? Do you keep your finger on the pulse of sales or user signups? Or maybe you make sure the servers keep running when a surprise event happens?