Jeff Heer's guest appearances

Jeff Heer

Data Stories

Jessica Hullman

Robert Kosara

Michael Gonchar

Sharon Hessney

Scott Murray

Hans Rosling

Scott McCloud

Ben Wellington

Manuel Lima

Michal Migurski

Marian Dörk

Ben Shneiderman

Matt Daniels

Tim Dwyer

Evan Peck

OwlTail

Michael Correll

[If you enjoy the show, consider supporting us on Patreon! You pay a small fee for each episode we publish.] In this episode, we have Michael Correll and Jeff Heer from the University of Washington to talk about a novel visualization technique they developed called “Surprise Maps”: a new kind of map which visualizes what is most surprising in a dataset. Using their own words: “The idea behind Surprise Maps is that when we look at data, we often have various models of expectation: things we expect to see, or not see, in our data. If we have these models, we can also measure deviation or difference from these models. This deviation is the unexpected, the data that surprise us.” On the show we talk about how they came up with the idea for Surprise Maps, how they work, and potential applications and extensions for the technique. Enjoy the show!            Data Stories is brought to you by Qlik. Are you missing out on meaningful relationships hidden in your data? Unlock the whole story with Qlik Sense through personalized visualizations and dynamic dashboards which you can download for free at qlik.de/datastories. Links  Medium post on Surprise Maps InfoVis 2016 Paper on Surprise Maps (PDF) Github Repository: https://github.com/uwdata/bayesian-surprise Formal Bayesian Theory of Surprise: http://ilab.usc.edu/surprise/ Example of application of Surprise Maps at CensusMapper  http://datastori.es/wp-content/uploads/2017/06/surprise-maps-promo.m4v

[If you enjoy the show, consider <a href="https://www.patreon.com/datastories" rel="nofollow" target="_blank">supporting us on Patreon!</a> You pay a small fee for each episode we publish.] In this episode, we have Michael Correll and Jeff Heer from the University of Washington to talk about a novel visualization technique they developed called “Surprise Maps”: a new kind of map which visualizes what is most surprising in a dataset. Using <a href="https://medium.com/@uwdata/surprise-maps-showing-the-unexpected-e92b67398865" rel="nofollow" target="_blank">their own words</a>: “The idea behind Surprise Maps is that when we look at data, we often have various models of expectation: things we expect to see, or not see, in our data. If we have these models, we can also measure deviation or difference from these models. This deviation is the unexpected, the data that surprise us.” On the show we talk about how they came up with the idea for Surprise Maps, how they work, and potential applications and extensions for the technique. Enjoy the show! Data Stories is brought to you by Qlik. Are you missing out on meaningful relationships hidden in your data? Unlock the whole story with Qlik Sense through personalized visualizations and dynamic dashboards which you can download for free at <a href="http://qlik.de/datastories" rel="nofollow" target="_blank">qlik.de/datastories</a>. Links <ul> <li><a href="https://medium.com/@uwdata/surprise-maps-showing-the-unexpected-e92b67398865#.b6d8nkv6v" rel="nofollow" target="_blank">Medium post on Surprise Maps</a></li> <li>InfoVis 2016 Paper on Surprise Maps (<a href="https://idl.cs.washington.edu/files/2017-SurpriseMaps-InfoVis.pdf" rel="nofollow" target="_blank">PDF</a>)</li> <li>Github Repository:</li> <li><a href="https://github.com/uwdata/bayesian-surprise" rel="nofollow" target="_blank">https://github.com/uwdata/bayesian-surprise</a></li> <li>Formal Bayesian Theory of Surprise: <a href="http://ilab.usc.edu/surprise/" rel="nofollow" target="_blank">http://ilab.usc.edu/surprise/</a></li> <li><a href="http://doodles.mountainmath.ca/blog/2017/04/10/surprise/" rel="nofollow" target="_blank">Example of application of Surprise Maps</a> at CensusMapper</li> </ul> <a href="http://datastori.es/wp-content/uploads/2017/06/surprise-maps-promo.m4v" rel="nofollow" target="_blank">http://datastori.es/wp-content/uploads/2017/06/surprise-maps-promo.m4v</a>

101 | Surprise Maps with Michael Correll and Jeff Heer

Jeff Heer is Associate Professor at the University of Washington where he leads the Interactive Data Lab (IDL). Jeff has worked on many visualization libraries and software programs, including Prefuse, Flare, Protovis and the widely adopted D3 (with his former PhD student Mike Bostock). Jeff is also the co-founder of Trifacta, a data analytics company focused on data wrangling. On the show we talk about many interesting research tools and products developed in Jeff’s lab, including Vega, Voyager and Lyra. We also talk about Trifacta and the challenges and promises of visualization research. Enjoy the show! Data Stories is brought to you by Qlik, which allows you to explore the hidden relationships within your data that lead to meaningful insights. Let your instincts lead the way to create personalized visualizations and dynamic dashboards with Qlik Sense, which you can download for free at www.qlik.de/datastories. Make sure to check out their post on truth &amp; beauty (!) at the Qlik blog.  Related episodes Bocoup and OpenVis ConferenceChallenges of Being a Vis Professional in Industry with Elijah Meeks

<a href="http://homes.cs.washington.edu/~jheer/" rel="nofollow" target="_blank">Jeff Heer</a> is Associate Professor at the University of Washington where he leads the <a href="http://idl.cs.washington.edu" rel="nofollow" target="_blank">Interactive Data Lab (IDL)</a>. Jeff has worked on many visualization libraries and software programs, including <a href="http://prefuse.org" rel="nofollow" target="_blank">Prefuse</a>, <a href="http://flare.prefuse.org" rel="nofollow" target="_blank">Flare</a>, <a href="http://mbostock.github.io/protovis/" rel="nofollow" target="_blank">Protovis</a> and the widely adopted <a href="https://d3js.org" rel="nofollow" target="_blank">D3</a> (with his former PhD student Mike Bostock). Jeff is also the co-founder of <a href="https://www.trifacta.com" rel="nofollow" target="_blank">Trifacta</a>, a data analytics company focused on data wrangling. On the show we talk about many interesting research tools and products developed in Jeff’s lab, including <a href="https://vega.github.io" rel="nofollow" target="_blank">Vega</a>, <a href="https://idl.cs.washington.edu/papers/voyager/" rel="nofollow" target="_blank">Voyager</a> and <a href="https://idl.cs.washington.edu/papers/lyra" rel="nofollow" target="_blank">Lyra</a>. We also talk about <a href="https://www.trifacta.com/" rel="nofollow" target="_blank">Trifacta</a> and the challenges and promises of visualization research. Enjoy the show! Data Stories is brought to you by <a href="http://www.qlik.com/" rel="nofollow" target="_blank">Qlik</a>, which allows you to explore the hidden relationships within your data that lead to meaningful insights. Let your instincts lead the way to create personalized visualizations and dynamic dashboards with Qlik Sense, which you can download for free at <a href="http://www.qlik.de/datastories" rel="nofollow" target="_blank">www.qlik.de/datastories</a>. Make sure to check out their post on <a href="http://global.qlik.com/us/blog/posts/james-richardson/beauty-is-not-truth" rel="nofollow" target="_blank">truth &amp; beauty</a> (!) at the Qlik blog. <h3>Related episodes</h3> <ul><li><a href="https://datastori.es/76-bocoup-and-openvis-conference/" rel="nofollow" target="_blank">Bocoup and OpenVis Conference</a></li><li><a href="https://datastori.es/95-challenges-of-being-a-vis-professional-in-industry-with-elijah-meeks/" rel="nofollow" target="_blank">Challenges of Being a Vis Professional in Industry with Elijah Meeks</a></li></ul>

072  |  Jeff Heer on Merging Industry and Research with the Interactive Data Lab

Hi Folks, We are raising the bar here! In this new episode we have Jeff Heer, Assistant Professor at Stanford and creator of 4 (!) data visualization toolkits/languages (Prefuse, Flare, Protovis, D3). Jeff is a very well regarded researcher in the area of visualization, user interfaces and human-computer interaction. If you don’t know him yet we strongly encourage you to give a look to his projects web page, you’ll find lots of cool stuff there like his studies on Graphical Perception and Wrangler, a data pre-processing tool. Talking with Jeff has been great and very inspiring. We talk about past, present and future of visualization; everything dressed with LOLs, a bit of gossip and … one scoop at the end of the podcast! Have fun, Enrico &amp; Mo Episode Chapters [00:00:00] Introduction: Today’s special guest – Jeff Heer [00:03:12] Investigating complete data interaction flows, and how visualization can help [00:06:47] Data wrangling [00:09:50] Prefuse, flare, protovis, d3 [00:10:44] prefuse [00:14:52] flare [00:17:05] protovis [00:22:17] d3 [00:28:52] Comparing the different paradigms [00:35:06] What’s next? [00:38:33] Flexible tools for data exploration [00:41:42] How to bridge research and practice? [00:49:44] Function vs. aesthetics? [00:53:33] Is there a future for high-end customized visualization? [00:56:02] Why is visualization so popular right now? [01:01:18] The future of visualization [01:14:06] Super secret start-up in formation! 

<a href="http://datastori.es/wp-content/uploads/2012/06/heer1.png" rel="nofollow" target="_blank"></a>Hi Folks, We are raising the bar here! In this new episode we have <a href="http://hci.stanford.edu/jheer/" rel="nofollow" target="_blank">Jeff Heer</a>, Assistant Professor at Stanford and creator of 4 (!) data visualization toolkits/languages (<a href="http://prefuse.org/" rel="nofollow" target="_blank">Prefuse</a>, <a href="http://flare.prefuse.org/" rel="nofollow" target="_blank">Flare</a>, <a href="http://mbostock.github.com/protovis/" rel="nofollow" target="_blank">Protovis</a>, <a href="http://d3js.org/" rel="nofollow" target="_blank">D3</a>). Jeff is a very well regarded researcher in the area of visualization, user interfaces and human-computer interaction. If you don’t know him yet we strongly encourage you to give a look to <a href="http://hci.stanford.edu/jheer/projects/" rel="nofollow" target="_blank">his projects web page</a>, you’ll find lots of cool stuff there like his studies on <a href="http://vis.stanford.edu/papers/crowdsourcing-graphical-perception" rel="nofollow" target="_blank">Graphical Perception</a> and <a href="http://vis.stanford.edu/papers/wrangler" rel="nofollow" target="_blank">Wrangler</a>, a data pre-processing tool. Talking with Jeff has been great and very inspiring. We talk about past, present and future of visualization; everything dressed with LOLs, a bit of gossip and … one scoop at the end of the podcast! Have fun, Enrico &amp; Mo Episode Chapters [00:00:00] Introduction: Today’s special guest – Jeff Heer [00:03:12] Investigating complete data interaction flows, and how visualization can help [00:06:47] Data wrangling [00:09:50] Prefuse, flare, protovis, d3 [00:10:44] prefuse [00:14:52] flare [00:17:05] protovis [00:22:17] d3 [00:28:52] Comparing the different paradigms [00:35:06] What’s next? [00:38:33] Flexible tools for data exploration [00:41:42] How to bridge research and practice? [00:49:44] Function vs. aesthetics? [00:53:33] Is there a future for high-end customized visualization? [00:56:02] Why is visualization so popular right now? [01:01:18] The future of visualization [01:14:06] Super secret start-up in formation!