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Data design systems and styleguides are currently a huge trend in the data design world. Moritz is joined by Gabrielle Mérite and Alan Wilson and together we exchange experiences in this emerging space, from designing dataviz components as part of Adobe Spectrum, the styleguide for Deloitte’s Insights Magazine or the WHO Data Design Language. Gabriele also wrote about adding touches of ethical guidance in guidelines in one of her recent newsletters. Enjoy!
We have Vidya Setlur on the show to talk about the role language, and natural language processing (NLP) play in data visualization and analytics.
Vidya is the director of research at Tableau and has a background in natural language processing and visualization. She is one of the main drivers behind Eviza, a research-based prototype and the corresponding product Ask Data, developed within Tableau to interact with data visualizations through natural language.
She is also the co-author, with Bridget Cogley, of Functional Aesthetics for Data Visualization, a new book on data visualization with a lot of information about semantics and language in data visualization.
In the episode, we talk about the challenges of going from a research prototype to an actual product, research vs. engineering, speech and natural language interfaces, the many ways language plays a role in visualization, the advent of language models, and much more.
Enjoy the show!
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Finally, this year we managed to record another classic episode from the IEEE VIS Conference (we recorded a total of 10 with this one!) We have Data Stories’ friend Prof. Tamara Munzner with us to talk about the conference and to highlight a few things she picked from the many events that happened over this week-long event.
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In this new episode, we talk about the interplay between statistics and data visualization. We do that with Andrew Gelman, Professor of Statistics and Political Science at Columbia University, and Jessica Hullman, Professor of Computer Science at Northwestern University. Andrew started the popular blog “Statistical Modeling, Causal Inference, and Social Science,” which has an active community of readers and has been around for many years. Jessica started contributing lately with many exciting posts, several of which have to do with data visualization. In the episode, we touch upon many topics, including the story behind the blog, the role of surprises, anomalies, and storytelling in science, the Anscombe’s quartet, and exploratory data analysis.
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Hey all, we are back!
In this episode, we have Amanda Makulec to catch up on what happened during this whole period of time.
Amanda is a public health and data visualization expert and she is the Executive Director of the Data Visualization Society.
In the episode, we talk about the Data Visualization Society, the new Information is Beautiful Awards (now organized by the DVS team), and how visualization has evolved lately.
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Remember: our podcast is listener-supported, please consider making a donation! Using Patreon or Paypal. Thanks
Visualization is a very powerful cognitive tool. I think we all agree with that. But what happens if a person is visually impaired or has other impairments that prevent them to fully benefit from it? It’s surprising, despite the huge success visualization had during these last few years, how little we have to show in terms of supporting this very relevant segment of the population.
To discuss this topic we have on the show Sarah Fossheim. Sarah is a full-stack developer and UX researcher with a specific expertise on accessible design for data visualization projects. See for instance their “How to create a screen reader accessible graph like Apple’s with D3.js“.
On the show, we talk about what is accessibility and what role it plays in data visualization, how to make charts and visual representations more accessible, and how to get started with accessible design.
This is a hugely important topic and we hope you will find some inspiration by listening to it!
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We have our friend Sandra Rendgen on the show to talk about the work of Edward Tufte. Tufte does not need any introductions of course. We discuss his early works and efforts, all the books he published, his contribution and legacy and the influence he had on our work.
Enjoy the show!
Remember: our podcast is listener-supported, please consider making a donation! Using Patreon or Paypal. Thanks
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This week, we are joined by Amelia Wattenberger, journalist-engineer at the Pudding and book author. We discuss the exciting Svelte framework for web development, which is especially well suited for developing interactive data visualizations. Hear how it compares to other frameworks like react, why web development nowadays seems so complicated, and finally, hear a few ideas for last minute dataviz-related present ideas for the holiday season
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Remember: our podcast is listener-supported, please consider making a donation! Using Patreon or Paypal. Thanks
Hey all, we are back! In this classic episode we go over highlights from the IEEE VIS’20 conference. We cover a broad set of themes with Danielle Szafir from University of Colorado and Miriah Meyer from University of Utah, who helped us explore latest trends in visualization. See the main links and details in the show notes below. There is a lot to explore!
Remember: our podcast is listener-supported, please consider making a donation! Using Patreon or Paypal.
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Topic: IEEE VIS conference <http://ieeevis.org/year/2020/welcome>
Miriah Meyer <http://www.cs.utah.edu/~miriah/>
Danielle <https://danielleszafir.com>
PolicyViz episode on IEEE VIS 2020: <https://policyviz.com/podcast/episode-184-ieeevis-recap/>
Short paper: Why Shouldn’t All Charts Be Scatter Plots? Beyond Precision-Driven Visualizations: <https://arxiv.org/abs/2008.11310>
John Burn-Murdoch’s BELIV workshop keynote: <https://youtu.be/xlN_QUdT6os>
Short paper: Designing for Ambiguity: Visual Analytics in Avalanche Forecasting: <https://arxiv.org/abs/2009.02800>
Vis Psychology workshop: <https://sites.google.com/view/vispsych/>
Barbara Tversky’s keynote: <https://youtu.be/GLiFg3M70Mk?t=1090>
Paper: Visual reasoning strategies for effect size judgments and decisions: <https://arxiv.org/abs/2007.14516>
Paper: Insight Beyond Numbers: The Impact of Qualitative Factors on Visual Data Analysis: <https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9241426>
Paper: A Design Space of Vision Science Methods for Visualization Research: <https://arxiv.org/abs/2009.06855>
Paper: Communicative Visualizations as a Learning Problem: <https://arxiv.org/abs/2009.07095>
Sheelagh Carpendale’s Capstone: <https://youtu.be/XQhBHnPIsRk>
Paper: Introducing Layers of Meaning (LoM): A Framework to Reduce Semantic Distance of Visualization In Humanistic Research: <https://projectcornelia.be/uploads/lamqaddam_vis_2020_preprint.pdf>
Paper: Insights From Experiments With Rigor in an EvoBio Design Study: <https://arxiv.org/abs/2008.11564>
Paper: Data Comics for Reporting Controlled User Studies in Human-Computer Interaction: <https://osf.io/unmyj>
Paper: Uplift: A Tangible and Immersive Tabletop System for Casual Collaborative Visual Analytics: <https://ialab.it.monash.edu/~dwyer/papers/uplift.pdf>
Short paper: The Anatomical Edutainer: <https://arxiv.org/abs/2010.09850>
Paper: Chemicals in the Creek: designing a situated data physicalization of open government data with the community: <https://arxiv.org/abs/2009.06155>
Druid <https://renecutura.eu/pdfs/Druid.pdf>
Calliope <https://ieeexplore.ieee.org/abstract/document/9222368>
Data GIFs <https://data-gifs.github.io>
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