Category: Episodes

126  |  FlowingData with Nathan Yau

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We have Nathan Yau with us on the show to talk about his mythical FlowingData blog. Nathan was one of the first people to write a blog about data and visualization, and he is one of the very few who continues to blog virtually every day after more than ten years.

If you want to know what has happened lately in visualization, you can’t go wrong by visiting his site. It’s very comprehensive and never misses a beat.

On the show, we talk about how and why Nathan started FlowingData, the evolution of the blog and visualization over the years, his data visualization projects and membership program, and the secret “sauce” behind his persistence!

Enjoy the show!

 



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125  |  Researching the Boundaries of InfoVis with Sheelagh Carpendale

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Sheelagh Carpendale is Professor in the Department of Computer Science at the University of Calgary, where she leads the Innovations in Visualization (InnoVis) research group. Sheelagh is one of the most prominent figures in visualization research and, this week, she joins us to discuss the research taking place in her lab, as well as her innovative ideas about all sorts of information visualization. Sheelagh is renowned for taking a much more holistic view of visualization than usual; she emphasizes interaction, visualization beyond the confinements of desktop displays, and the use of design, qualitative research, and psychology. On the show we talk about the uses of sketching in data visualization, the concept of “active reading” of visualizations, and the standard data viz ideas that are holding us back.

Enjoy the show!

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124  |  Xenographics with Maarten Lambrechts

[If you like what we do, please consider supporting us on Patreon or sending us a one-time donation through Paypal. Data Stories runs thanks to your financial support!]

Most often in data visualization we depend on traditional charts, but occasionally we stumble onto something new, maybe even something weird: something that is interesting and beautiful. How many charts of this type exist? And do they have anything in common?

In this episode we have Maarten Lambrechts on the show to talk about his Xenographics project: a growing collection of “unusual charts and maps.”

We talk with Maarten about examples of xenographics, the system Maarten developed to organize the collection, the role of innovation in visualization, and the future of these unusual designs.

We hope you enjoy the show!

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123  |  Touch Graphics with Steve Landau

[If you like what we do, please consider supporting us on Patreon or sending us a one-time donation through Paypal. Data Stories runs thanks to your financial support!]

As creators of data visualization, it is important for us to remember that many of our platforms are not accessible to people who are blind or visually impaired. What can we do to help non-sighted people access the wealth of information that we convey visually?

To discuss this topic we have on the show Steve Landau, the founder of Touch Graphics, a company that develops products that “rely on multi-sensory display techniques and audio-haptic interactivity.”

We talk with Steve about the history of the company, the process for creating tactile graphics, and his suggestions for making visualization more accessible.

Enjoy the show!

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122  |  Visualizing Climate Change Scenarios with Boris Müller

Data Stories runs thanks to the help of our listeners. Please consider supporting us on Patreon or sending us a one-time donation through Paypal. And thanks so much for your support!


This week, we have Prof. Boris Müller from FH Potsdam on the show! Moritz and Boris discuss the SENSES research project, which visualizes climate change scenarios. They also talk generally about design and science collaboration.

In other news, if you work in science and would like to improve your data visualization skills, make sure to check out the Graphic Hunters summer school In Utrecht, Netherlands, where Moritz will be offering a training on August 21, 2018.

Enjoy the show!

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121  |  Declarative Visualization with Vega-Lite and Altair with Dominik Moritz, Jacob Vanderplas, Kanit “Ham” Wongsuphasawat

[Data Stories runs thanks to the help of our listeners. Please consider supporting us on Patreon or sending us a one-time donation through Paypal. And thanks so much for your support!]

We have Dominik Moritz, Jacob Vanderplas, and Kanit “Ham” Wongsuphasawat on the show to talk about Vega-Lite and Altair. Dominik and Ham are PhD students at the Interactive Data Lab at the University of Washington with Jeff Heer, and Jacob is the director of Open Software at the University of Washington’s eScience Institute and the main person behind the development of Altair, the porting of Vega-Lite to Python.

Vega-Lite is a new declarative language for the development of interactive data visualizations based on a grammar of graphics (similar to R’s ggplot2). One of the most interesting innovations it provides is the development of a grammar that also includes interaction and linking between views. In addition, Altair brings Vega-Lite to the Python environment, making it available to innumerable data scientists who work in Python and the Jupyter Notebook.

On the show we talk about these two new environments, the grammar used by Vega-Lite, how to get started with it, and more.

Enjoy the show!

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120  |  Data Science and Visualization with David Robinson

[Data Stories runs thanks to the help of our listeners. Please consider supporting us on Patreon or sending us a one-time donation through Paypal. And thanks so much for your support!]

This week we have David Robinson on the show to talk about data science, in particular the role of data visualization in data science. David is Chief Scientist at Data Camp and author of multiple data science books and R packages. He also writes a great blog called “Variance Explained.”

On the show we talk about visualization as a data analysis tool, the problem of validation in exploratory data analysis, and David’s opinion on programming versus GUI interfaces. Also, don’t miss his great advice — and very generous offer! — on how to get started in data science!

Enjoy the show!


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119  |  Color with Karen Schloss

[This podcast is fully supported by our listeners. If you enjoy listening to Data Stories, consider supporting us on Patreon. And now we also accept one-time donations through Paypal: just use this linkThanks so much for your support!]


In this episode we have Karen Schloss on the show to talk about color. Yes, color! Karen is Assistant Professor at the University of Wisconsin Madison where she conducts research on the effective uses of color in visualization and everyday tasks.

Karen walks us through the intricacies of color: explaining how it works and why it is so hard to get right. We also discuss the infamous rainbow color map, the association between colors and meaning, the tools developed in her lab, and her fascinating research on coloring trash bins!

Enjoy the show…

 

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118  |  Making Data Visual with Miriah Meyer and Danyel Fisher

[This podcast is fully supported by our listeners. If you enjoy listening to Data Stories, consider supporting us on Patreon. And now we also accept one-time donations through Paypal: just use this linkThanks so much for your support!]


 

This week we have Miriah Meyer (University of Utah) and Danyel Fisher (Microsoft Research) on the show to talk about their new book Making Data Visual, which covers areas that other visualization books typically do not address: namely, how to go from formulating questions to building visualizations that solve actual problems that people have.

On the show we talk about how the book came to be; some of the concepts introduced by Miriah and Danyel in the book, such as the use of proxy tasks for data;  and how you could use it for your own projects.

Enjoy the show!

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117  |  Datawrapper with Lisa C. Rost and Gregor Aisch

[This podcast is fully supported by our listeners. If you enjoy listening to Data Stories, consider supporting us on Patreon!]

We have Lisa C. Rost and Gregor Aisch on the show to talk about the exciting work they are doing at Datawrapper. Lisa and Gregor have recently joined the company in Berlin, coming from various experiences in data journalism in the US.

Lisa is known for her long, thoughtful and beautiful blog posts and visualization guides. Gregor is a former graphics editor at the New York Times and has also developed many useful visualization libraries and tools.

On the show we talk about Lisa and Gregor’s transitions from the world of journalism to a software company, the market for data visualization products, and what we can expect from Datawrapper in the future.

Enjoy the show!

 

Links

Lisa Charlotte Rost: https://lisacharlotterost.de/

Gregor Aisch: https://driven-by-data.net/

Datawrapper: http://datawrapper.de

Datawrapper’s blog

River (DW’s place to exchange relevant data, charts and maps)



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