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Episode Info: Mike Bostock is the creator of D3, a popular open-source JavaScript library for visualizing data and Observable, an open-source notebook for exploring data and thinking with code. Previously, Mike was a graphics editor for The New York Times, where he helped produce a variety of data visualizations such as Is It Better to Rent or Buy? and 512 Paths to the White House). You can see more of his work on my website and Twitter. On this week’s episode of the podcast, I’m reposting a video conversation I had with Mike as part of the Data@Urban Digital Discussion series. We talked about the origins of D3, what Observable does and the problems it tries to solve, and answer questions from attendees. Enjoy! Episode Notes Observable Bl.ocks Data@Urban Digital Discussion Data@Urban blog PolicyViz Data Visualization Catalog Better Data Visualizations book website Support the Show This show is completely listener-supported. There are no ads on the show notes page or in the audio. If you would like to financially support the show, please check out my Patreon page, where just for a few bucks a month, you can get a sneak peek at guests, grab stickers, or even a podcast mug. Your support helps me cover audio editing services, transcription services, and more. You can also support the show by sharing it with others and reviewing it on iTunes or your favorite podcast provider. Transcript Jon Schwabish: Welcome back to the PolicyViz podcast. I am your host, Jon Schwabish. I hope everyone is well and safe and healthy in the strange times. So I’m looking forward to this week’s episode of the PolicyViz Podcast because I am reposting one of the recent data and urban digital discussion conversations I had with Mike Bostock, the founder and creator of the D3 JavaScript library. I, myself am not a JavaScript programmer. But there were a lot of people on this conversation that had questions about how to use D3, about some of the ongoing evolution and modifications about D3. And Mike spends a bit of time talking about his new project Observable, which is, I think, has found an audience out there of users who are interested in sharing and creating open source code. So I hope you enjoy this week’s episode. Before we get into that conversation, just a couple of quick notes. First off, if you haven’t seen, I have recently posted my data visualization catalog. I’ve been collecting data visualizations for the last couple of years. I have more than 700 images in the catalog right now. I have used those for myself for inspiration and for techniques that I might like to try for other data. And I also use it, of course, for teaching in my classes, in my workshops. And I asked my Twitter network to see if they would like to take a look at that catalog, and there was an overwhelming response in the affirmative to that. So I tooled around with the Google Data Studio tool to create an interactive table where you can see both t...
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