Data Stories

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! Related episodes Challenges of Being a Vis Professional in Industry with Elijah MeeksData Visualization at Capital One with Kim Rees and Steph Hay

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!   Links Winners of Information is Beautiful Awards  Book: Functional Aesthetics for Data Visualization Paper: Automatic Generation of Semantic Icon Encodings for Visualizations Paper: A Linguistic Approach to Categorical Color Assignment for Data Visualization Eviza: A Natural Language Interface for Visual Analysis Paper: Snowy: Recommending Utterances for Conversational Visual Analysis — Remember: our podcast is listener-supported. Please consider donating using Patreon or Paypal. Thanks! ? Related episodes Text Visualization: Past, Present and Future with Chris Collins

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.     Links IEEE Vis ’22     Our guest: Tamara Munzner     VIS Keynote: Marti Hearst – Show It or Tell It?      VIS Capstone: Kerry Magruder – Galileo’s Telescope Discoveries: Thinking Visually in the History of Science      Keynote BELIV workshop: Casey Fiesler – Data Is People, Research Ethics Beyond Human Subjects      VAST 10 Year Test of Time Award: Enterprise Data Analysis and Visualization: An Interview Study InfoVis 10 Year Test of Time Award: Design study methodology: Reflections from the trenches and the stacks    Paper: HiTailor: Interactive Transformation and Visualization for Hierarchical Tabular Data  Paper: Dashboard Design Patterns Book: AK Peters Visualization series Paper: VegaFusion: Automatic Server-Side Scaling for Interactive Vega Visualizations Paper: Plotly Resampler: Effective Visual Analytics for Large Time Series   Paper: Visualizing Graph Neural Networks with CorGIE: Corresponding a Graph to Its Embedding alt.VIS workshop Jo Wood’s visual essay “Beyond the Walled Garden“ Paper: Affective Learning Objectives for Communicative Visualizations   Related episodes from Visweek 2012IEEE VIS'13 Highlights w/ Robert KosaraIEEE VIS'14Tamara MunznerIEEE VIS’15 Recap with Robert Kosara and Johanna FuldaHighlights from IEEE VIS'16 with Jessica Hullman and Robert KosaraReview of IEEE VIS’17 with Jessica Hullman and Robert KosaraHighlights from IEEE VIS 2018Highlights from IEEE VIS'19 with Tamara Munzner and Robert KosaraHighlights from IEEE VIS'20 with Miriah Meyer and Danielle Szafir

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. Links Jessica Hullman: http://users.eecs.northwestern.edu/~jhullman/ Andrew Gelman: http://www.stat.columbia.edu/~gelman/ Blog: Statistical Modeling, Causal Inference, and Social Science: https://statmodeling.stat.columbia.edu/ Andrew’s 2003 paper on visualization as model checks: “Exploratory Data Analysis for Complex Models” Jessica and Andrew’s follow-up article expanding on the idea of model checks for visualization research: “Designing for Interactive Exploratory Data Analysis Requires Theories of Graphical Inference” Andrew and Thomas’ paper on stories in social sciences: “When Do Stories Work? Evidence and Illustration in the Social Sciences” — Remember: our podcast is listener-supported; please consider donating Using Patreon or Paypal. Thanks! Related episodes Big Data Skepticism w/ Kate CrawfordScience Communication at SciAm w/ Jen ChristiansenStatistical Numbing with Paul SlovicMachine Bias with Jeff LarsonCalling Bullshit with Carl Bergstrom and Jevin WestData Science and Visualization with David Robinson

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. Links WHO Data Design Language Climate & Conflict Analysis for German Foreign Office Enrico’s FILWD Newsletter https://www.amandamakulec.com https://twitter.com/abmakulec https://www.datavisualizationsociety.org https://www.informationisbeautifulawards.com/awards/2022 Frank Elavsky (A11y work in vis) Uncertainty visualization work (Jessica Hullman and Matthew Kay) Data Humanism (Giorgia Lupi) Moritz’s keynote at EUROVIS Crystal Lee’s work on how vis is used for covid19 communication Why Shouldn’t All Charts Be Scatter Plots? Beyond Precision-Driven Visualizations Joss Fong’s Automating Bias Warming stripes — Remember: our podcast is listener-supported, please consider making a donation! Using Patreon or Paypal. Thanks Related episodes Data Visualization SocietyIconic Climate Visuals with Ed Hawkins

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! Links: https://fossheim.io https://twitter.com/liatrisbian Chartability <https://chartability.fizz.studio> Dataviz Accessibility Resources <https://github.com/dataviza11y/resources> Outlier 2021—Are your visualizations excluding ppl? Writing Alt Text for Data Visualization Apple previews powerful software updates designed for people with disabilities Summarizing Information Graphics Textually Loud Numbers Podcast DS 075  |  Listening to Data From Space with Scott Hughes — Remember: our podcast is listener-supported, please consider making a donation! Using Patreon or Paypal. Thanks Related episodes Listening to Data From Space with Scott HughesTouch Graphics with Steve Landau

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 Links Impfdashboard <https://impfdashboard.de> Enrico’s ML vis work: Slice Lens <https://github.com/nyuvis/SliceLens> Observable notebooks for teaching <https://observablehq.com/collection/@nyuvis/guides-and-examples> Our guest: Sandra Rendgen <https://sandrarendgen.wordpress.com/> First book “The Visual Display of Quantitative Information” and how it influenced a lot of people <https://www.edwardtufte.com/tufte/books_vdqi> Second book “Envisioning Information” <https://www.edwardtufte.com/tufte/books_ei> Third book “Visual Explanations: Images and Quantities, Evidence and Narrative”<https://www.edwardtufte.com/tufte/books_visex> Fourth book “Beautiful Evidence” <https://www.edwardtufte.com/tufte/books_visex> Fifth book “Seeing with Fresh Eyes: Meaning, Space, Data, Truth“ <https://www.edwardtufte.com/tufte/seeing-with-fresh-eyes> Robert Kosara’s review of Tufte’s workshops <https://eagereyes.org/criticism/edward-tufte-one-day-course>

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 Links Svelte tutorial svelte.recipes Svelte Radio Mathias Stahl: How you setup data visualization with Svelte Layercake “I am a book. I am a portal to the universe.” Pilot G-Tec C4  https://www.madefromdata.com/products https://frontendmasters.com/courses/d3/ https://frontendmasters.com/courses/svelte/   Remember: our podcast is listener-supported, please consider making a donation! Using Patreon or Paypal. Thanks Related episodes NYT Graphics and D3 with Mike Bostock and Shan CarterThe Pudding with Matt Daniels

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. Links 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> Related episodes Highlights from IEEE VIS'22 with Tamara Munzner

We have renowned data visualizer Shirley Wu with us again (we had her before in episode 98) to talk about a new project she and her team developed to help people reason about the covid19 pandemic at a local community level. The team developed a simulation game that shows you what happens when you make certain sets of decisions over time that may affect the spread of the virus. You can play with others and your goal is to cooperate. Needless to say the tool uses some really interesting visualizations also but this is not the main point. It’s interesting to see the intersection between data visualization, simulation and gaming. With Shirley we talk about how the project started, specific challenges they faced, how it was received, and future developments. Other simulations: WaPo: Why outbreaks like coronavirus spread exponentially, and how to “flatten the curve” Nicky Case: What Happens Next? Melting Asphalt: Outbreak https://datastori.es/wp-content/uploads/2020/06/161_Made_by_Headliner.mp4 Related episodes Data Sketches with Nadieh Bremer and Shirley Wu