Rank #1: 134 | Visualizing Uncertainty with Jessica Hullman and Matthew Kay
Jessica Hullman and Matthew Kay join us to discuss the how and why of visualizing information uncertainty.
Rank #2: 118 | Making Data Visual with Miriah Meyer and Danyel Fisher
We have Miriah Meyer (University of Utah) and Danyel Fisher (Microsoft Research) on the show to talk about their new book "Making Data Visual".
Rank #3: 113 | What Makes A Visualization Memorable? with Michelle Borkin
We have Michelle Borkin from Northeastern University on the show to talk about her research on data viz memorability.
Rank #4: 120 | Data Science and Visualization with David Robinson
We have David Robinson on the show to talk about the role of data visualization in data science.
Rank #5: 022 | NYT Graphics and D3 with Mike Bostock and Shan Carter
We have graphic editors Mike Bostock and Shan Carter in this dense and long episode. It's great to finally have someone from the New York Times! We talk about many practical and more philosophical aspects of publishing interactive visualizations on the web. We also spend quite some time discussing the past, present and future of D3.js.
Rank #6: 132 | A New Generation of DataViz Tools
We have Andy Kirk on the show to talk about a new generation of data visualization tools.
Rank #7: 035 | Visual Storytelling w/ Alberto Cairo and Robert Kosara
Hi all, Hot topic today! We invited Alberto Cairo and Robert Kosara to discuss the role of storytelling in visualization. What is storytelling? Is all visualization storytelling? Should we always strive for telling a story? How does storytelling match with exploratory visualization? Should we aim more for worlds and macroscopes than stories as Moritz advocated a while back at Visualized? We went on a somewhat lengthy discussion on these topics and I think we all ended up agreeing on a lot of things and developed a much more nuanced view of storytelling. As you can see from the picture we had lots of fun (thanks Robert for taking the screenshot). Fantastic chat! Note: Alberto has a lot more to say after the episode so he decided to publish a linked post that clarifies some of the things he said on the show. You find the post here: ... P.S. Big, big thanks to Fabricio Tavares for taking care of the audio editing of this episode! --- Links Lynn Chen on Implied Stories (and Data Vis) Periscopic's Dino Citraro on A Framework for Talking About Data Narration Book cited by Alberto: The Unpersuadables: Adventures with the Enemies of Science Great visualizations without stories (proposed by Moritz): Aron Koblin's Flight Patterns Martin Wattenberg's Map of the Market Moritz position on stories: Look ma, no story! | Worlds, not stories Enrico's position on stories: Telling a story doesn’t tell the whole story Robert series on storytelling: Stories Are Gateways Into Worlds | Story: A Definition Robert's mention of visualization on Copenhagen: Emissions, Treaties and Impacts Jessica Hallman's VIS'13 paper on: Deeper Understanding of Sequence in Visualization
Rank #8: 133 | Year Review 2018
Here we go! Another year has passed and lots has happened in the data visualization world.
Rank #9: 032 | High Density Infographics and Data Drawing w/ Giorgia Lupi
We have Giorgia Lupi from Accurat on the show with us this time in our first real face-to-face episode ever -- yes Moritz and Enrico in the same room! Giorgia's work, and generally the work done by her agency, has been super popular lately. You might have seen, for instance, their work visualizing Nobel Prizes or visualizing painters' lives. Giorgia kindly hosted us in the Accurat's studio in New York where we had a nice chat on hand-crafted visualization, high-density designs, design studios, and much much more.
Rank #10: 114 | Machine Learning for Artists with Gene Kogan
We have Gene Kogan on the show to talk about the use of machine learning in art and visualization.
Rank #11: 110 | What's Going On In This Graph? with Michael Gonchar and Sharon Hessney
We have Sharon Hessney (American Statistical Association) and Michael Gonchar (New York Times Learning Network) on the show to talk about the New York Times project called "What's Going On In This Graph?".
Rank #12: 111 | Data Vis Around The World in 2017
We go around the world to discover what has happened in vis in 2017.
Rank #13: 036 | Data Art w/ Jer Thorp
Hey yo ... super cool guest today on Data Stories. We have data artist Jer Thorp for a whole episode on Data Art and Visualization. We managed to catch him before he leaves for a deep dive in a submarine next week. Jer is former artist in residence at New York Times R&D Labs and now he is the co-founder of the Office For Creative Research, a studio/lab that mixes science and art. Among many other things he is the creator of the algorithm and software tool "to aid in the placement of the nearly 3,000 names on the 9/11 Memorial in Manhattan" and Cascade, a tool to visualize "the sharing activity of New York Times content over social networks." In this episode we talk about his past and new projects, teaching art and vis and the many intersections between art and science. Links - The IEEE VIS'14 Art Program (that's going to be in Paris) - NYU ITP Data Art Course - Cascade (vis of NYT sharing activity) - Shakespeare Machine (earstudio | video on vimeo) - Jer's HBR article on "Visualization as Process, Not Output" - Collection of vis development process images from OCR - Example of Data Performance: Thousands of Exhausted Things (OCResearch and The Elevator Repair Service) - Hans Rosling's TED Talk "The Best Stats You've Ever Seen" - Eyeo Festival
Rank #14: 044 | Tamara Munzner
We have Prof. Tamara Munzner from University of British Columbia with us in this episode. Tamara is one of the most prominent figures in visualization research. She has done tons of interesting work starting from the nineties (look into her publications page) including the famous "Nested Model of Visualization Design" and her numerous design studies work, like the excellent "Overview," a tool for journalistic investigative analysis. We also talk about her new book "Visualization Analysis and Design." Finally a textbook teaching how to create visualization tools for analysis purposes!
Rank #15: 027 | Big Data Skepticism w/ Kate Crawford
Here we go with another great episode. This time more on the data side. We have Kate Crawford, Principal Researcher at Microsoft Research, on the show talking about the other face of big data. That is, after all the excitement, hype, and buzz, she is the one who is asking the tough questions: Is more data always better? Is there any objective truth in it? Is big data really making us smarter?
Rank #16: 124 | Xenographics with Maarten Lambrechts
Maarten Lambrechts joins us to talk about his Xenographics project: a growing collection of "unusual charts and maps."
Rank #17: 010 | Hand crafted data (with Stefanie Posavec)
In this episode we have the honor of talking with "data illustrator" Stefanie Posavec. Stefanie makes fascinating hand-crafted visualizations like Literary Organism and (En)tangled Word Bank. Most of her work is done by hand, like the highlighted text of Jack Kerouac's On The Road. Her work is so intriguing that we wanted to know more about her process.
Rank #18: 126 | FlowingData with Nathan Yau
Nathan Yau joins us on the show to talk about his blog Flowing Data.
Rank #19: 040 | Narrative Visualization Research w/ Jessica Hullman
We have a very researchy kind of episode this time. Jessica Hullman is on the show to talk about her research on narrative visualization. Jessica is a Postdoctoral Fellow at Berkeley and soon to be Assistant Professor at University of Washington iSchool. In the show we talk about lots of interesting basic visualization research issues like visualization literacy, bias and saliency, uncertainty, and some interesting automated annotation systems that Jessica has developed. We also talk about Jessica's background in experimental poetry!
Rank #20: 122 | Visualizing Climate Change Scenarios with Boris Müller
We have Prof. Boris Müller from FH Potsdam on the show to discuss the SENSES research project, which visualizes climate change scenarios.