Category: Episodes

Tim Dwyer

139  |  Immersive Analytics with Tim Dwyer

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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.

138  |  Turning Data into Sound with Hannah Davis

[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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137  |  Visualizing Earth with Cameron Beccario

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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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Cameron describes what happens when you make a data viz image that’s just too cool.

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135  |  The "Dashboard Conspiracy" with Lyn Bartram and Alper Sarikaya


[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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134  |  Visualizing Uncertainty with Jessica Hullman and Matthew Kay

[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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133  |  Year Review 2018

[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.]

Here we go! Another year has passed and lots has happened in the data visualization world. This time we decided to scramble things up again with a new annual review format: five podcasters (including ourselves!) reflecting back on year 2018. We’re lucky to be joined by Jon Schwabish from PolicyViz, Alli Torban from DataViz Today, and Cole Nussbaumer Knaflic from Storytelling with Data.

This was a long chat! But we had a lot to cover: major trends, favorite projects, new tools, and standout people, companies, studios, conferences, books, and blogs. There is a lot to learn there. Don’t miss our long list of links below! 🙂

As always, thanks for following along with us this year. And special thanks go to our supporters and to Destry and Florian for their amazing work behind the scenes.

We wish you all Happy Holidays and a Happy New Year!

Links

Major Trends

Favorite Projects

Noteworthy Tools

Standout People, Companies and Studios

Conferences

Books

Books Coming in 2019

Blogs



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132  |  A New Generation of DataViz Tools

[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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131  |  Peak Spotting

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“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!

Links



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130  |  Highlights from IEEE VIS 2018

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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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128  |  Visual Perception and Visualization with Steve Haroz

[Please remember that Data Stories is fully listener-supported! Please consider contributing to the show on Patreon or sending us a one-time donation through Paypal. Every dollar is appreciated!]

We have Steve Haroz on the show to talk about visual perception in visualization. Steve is a research scientist at Saclay, France near Paris (AVIZ) where he studies how “the brain perceives and understands visually displayed information like charts and graphs.”

Steve is also a very active figure on Twitter, where he is frequently asked to comment on visual perception problems in visualization.

On the show, we talk about what vision science is, practical examples of the use of vision science in data visualization, and how to use visual science to make predictive decisions about our data visualization designs.

Enjoy the show!


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