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[Our podcast is fully listener-supported. That’s why you don’t have to listen to ads! Please consider becoming a supporter on Patreon or sending us a one-time donation through Paypal. And thank you!]

We have Tim Dwyer on the show to talk about Immersive Analytics, the use of virtual reality and other immersive technology to analyze and present data visually. Tim is a Professor of Data Visualisation and Immersive Analytics at Monash University in Melbourne and his research focuses on the human and technological aspect of immersive analytics. On the show we talk about what immersive analytics is, what are the major opportunities and challenges and how one gets started experimenting with it. Tim also talks about some of the specific projects he and his collaborators developed on his lab.

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Tim Dwyer talks about their work with visualizing 3D data and using vibro-tactile feedback.
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[Our podcast is fully listener-supported. That’s why you don’t have to listen to ads! Please consider becoming a supporter on Patreon or sending us a one-time donation through Paypal. And thank you!]

How do you represent data with sound instead of graphical properties? Is it even possible?

It turns out that it’s not only possible, but there is an entire field — called sonification — that is dedicated to representing data with sound.

In this episode we are joined by Hannah Davis, a data visualization and sonification expert, to talk about how sonification works and how she has gone about making her own amazing sonification projects, which create musical pieces based on data. Get your ears ready! This time you are not only going to listen to our voices but also to some really interesting sounds!

P.S. We’ve actually touched upon sonification once before in Data Stories. Check out our episode with Scott Hughes on the sonification of black holes.

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[There are no ads on Data Stories because we’re listener-supported; please consider contributing to the show! Oh…and now Data Stories is on Instagram!]

Today we are joined by Cameron Beccario who created the immensely impressive Earth visualization — a beautiful, geeky, mesmerizing look at the small blue marble we call home. On the show Cameron tells us all about the story behind the project, its evolution, and its reception — plus, at the end, we have a bonus chat about the state of data visualization in Japan.

Enjoy the show!

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[4K] 2018: full, one year time lapse of surface winds over the North Atlantic - YouTube
Cameron describes what happens when you make a data viz image that’s just too cool. Related episodes
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[There are no ads on Data Stories because we’re listener-supported; please consider contributing to the show! Oh…and now Data Stories is on Instagram!]

We have Pedro Cruz and John Wihbey on the show to talk about their beautiful project, the Simulated Dendrochronology of U.S. Immigration. There are many ways that immigration can be represented visually, but Pedro and John came up with a very compelling one: they use the metaphor of tree rings to show how migration patterns of people to the United States have changed over time. The final piece is utterly beautiful and evocative: we are the product of many layers of immigration.

On the show we talk about how they came up with this idea, the implementation of the visualization, the attempts they tried before producing the final version, and the role of metaphors in visualization. Make sure you take a closer look at the visualization before listening!

And enjoy the show!

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[Our podcast is fully supported by our listeners. Please consider becoming a supporter on Patreon or sending us a one-time donation through Paypal. And thanks!]

Oh dashboards… dashboards… what are they? For some, they are just ugly examples of bad visualization design (speed dials anyone?). For others, they are a first citizen of the data visualization world that deserve to be learned, studied, and understood.

To dig into this debate, we have Lyn Bartram of Simon Fraser University and Alper Sarikaya of Microsoft Power BI on the show to talk about an exciting research project they developed. Their research seeks to build a better picture of what dashboard are and how they are used “in the wild.” The results are summarized in a paper they wrote with their colleagues from Tableau and Honeycomb.io: What Do We Talk About When We Talk About Dashboards?

On the show we talk about how the project got started, what they discovered by analyzing a large corpus of dashboards, and the many ramifications of their research.

Enjoy the show!

Links

  • Project page
  • Supplemental material with images of all the dashboards the team analyzed (zip)

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[Our podcast is fully supported by our listeners. Please consider becoming a supporter on Patreon or sending us a one-time donation through Paypal. Thanks!]

What is uncertainty? Why is it important to take it into account when designing data visualizations? And how do you actually do so? We explore these and other questions with Jessica Hullman of Northwestern University and Matthew Kay of the University of Michigan. Jessica and Matt have written many publications on the topic that help orient us to the intricate world of uncertainty, probabilities, and their relevance to data visualization.

We hope you enjoy the show!

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[Thinking of gift-giving this holiday season? Consider a gift to Data Stories! You can join our growing community of Patreons or make a one-time donation to us on Paypal.]

We have data visualization freelancer and old friend-of-the-podcast Andy Kirk with us to talk about a new generation of data viz tools. You may not have noticed yet, but there are a quite a few nice new tools in development — and they all seem to have one thing in common: granting more artistic freedom to users while requiring less programming.

On the show we start by talking about the precursors to this generation of tools, such as Lyra and Data Driven Guides. We then pivot to the latest developments including CharticulatorAdobe’s Data Illustrator, and Lincoln.

What do these tools make possible that is still impossible or not so easy to do with the existing tools? What are their more exciting features? How do they differ in the way that they work? Why are we observing this trend now? And are they ultimately going to become real products? We ponder these and other questions on the show with Andy.

Enjoy listening!

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Data Stories Podcast by Moritzstefaner - 6M ago

[Thinking of gift-giving this holiday season? Consider a gift to Data Stories! You can join our growing community of Patreons or make a one-time donation to us on Paypal.]

“Would you define this as a dashboard?” The question provoked quite a reaction!

In this episode, we talk about Peak Spotting, a new data visualization tool designed to help capacity managers at the German railway Deutsche Bahn handle passenger loads within the train system.

We recorded the episode live in Berlin, all together in the same room, with Moritz, the creative lead of the project, as well as the project’s other collaborators: project director Christian Au, technical lead Stephan Thiel, and designer Christian Laesser.

We talk about how the project started, the process the team followed to design the tool, how people at the German railway are using it, finding innovation within big companies, and the role of visualization in the movement towards automation.

Enjoy the show!

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[If you benefit from Data Stories, consider becoming a supporter on Patreon or making a one-time donation to us on Paypal. We fully depend on listener support to keep the show running!]

It was a great week in Berlin! Info+ and IEEE VIS took place at the same time and both Enrico and Moritz were there to document the conferences. We also organized a super fun Data Stories listeners meetup — more on that to come!

This week, our friends Jessica Hullman and Robert Kosara join Enrico to comment on their greatest highlights from IEEE VIS.

We discuss a handful of IEEE VIS events and then spotlight a few projects and papers that we especially liked. As usual, this is just a very thin slice of the conference offerings. There is much more to discover from the program!

Find links below to all the projects that we discuss on the show.

Enjoy!

Links:

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