Data Stories
Enrico Bertini and Moritz Stefaner
Recent Episodes
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
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
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 2012
- IEEE VIS'13 Highlights w/ Robert Kosara
- IEEE VIS'14
- Tamara Munzner
- IEEE VIS’15 Recap with Robert Kosara and Johanna Fulda
- Highlights from IEEE VIS'16 with Jessica Hullman and Robert Kosara
- Review of IEEE VIS’17 with Jessica Hullman and Robert Kosara
- Highlights from IEEE VIS 2018
- Highlights from IEEE VIS'19 with Tamara Munzner and Robert Kosara
- Highlights 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
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