Category: Episodes

123  |  Touch Graphics with Steve Landau

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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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116  |  Cognitive Bias and Visualization with Evanthia Dimara

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

We have Evanthia Dimara on the show to talk about cognitive bias and the role it plays in visualization. Evanthia has a PhD from INRIA and is now a postdoctoral researcher at the Institute for Intelligent Systems and Robotics (ISIR) in Paris. Her work focuses on data visualization and decision-making, and she specializes in understanding how bias affects our decisions when they are supported by visual representations.

On the show we talk about cognitive biases in general, introducing some of the most popular and funny examples. We then switch gears and Evanthia describes how the effects of specific biases translate to the world of data visualization and whether visualization can play a role in reducing bias.

Enjoy the show!

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115  |  Human-Driven Machine Learning with Saleema Amershi

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

How should we interact with machine learning? Is there a way to better understand what machine learning systems do and how? What role can visualization play in machine learning? These are some of the questions we discuss with Saleema Amershi on the podcast this week.

Saleema is a Researcher at Microsoft Research AI (MSR AI) where she works on technologies for helping people build and use machine learning systems.

On the show we explore the need for interaction in machine learning and discuss some of the fascinating work Saleema has done in this space, as well as what visualization can do to make machine learning more transparent for its users.

Enjoy the show!

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114  |  Machine Learning for Artists with Gene Kogan

 

 

 

 

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

If you haven’t heard talk about machine learning (ML) lately, you must be living under a rock! For our part, we have finally managed to record a whole episode on the use of ML for art and visualization. Artist and programmer Gene Kogan joins us on the show to talk about new developments in this space, as well as new challenges and opportunities. Gene has developed numerous art and design pieces using ML technologies, which we also discuss on the show. (You should definitely check out his home page: http://genekogan.com/). Last, we talk about the role of ML in visualization and how you can integrate ML in your own projects.

Enjoy!

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