All Videos Tagged Robert Kosara (Data Science Central) - Data Science Central 2019-05-27T07:43:29Z https://www.datasciencecentral.com/video/video/listTagged?tag=Robert+Kosara&rss=yes&xn_auth=no Data Viz: Re-examining what we thought we knew tag:www.datasciencecentral.com,2017-05-09:6448529:Video:561505 2017-05-09T21:28:58.343Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/data-viz-re-examining-what-we-thought-we-knew"><br /> <img alt="Thumbnail" height="135" src="https://api.ning.com/files/-WcWontfLutKNx0QAuh7rcicZnJgminZrTkMogXJphR48MDbQPiUCMPO5v6nGbPMG6VJQTLJcDGsQ6boiRaPoQOl9WPwLmF1/1278322977.jpeg?width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Instead of well-run experiments and real evidence, many supposed rules are based on opinion, aesthetic judgments, and incomplete or oversimplified studies. In this Data Science Central webinar, I will walk you through a number of things that we thought we knew, but that on closer inspection turned out to be wrong – it turned out that we didn’t know them,… <a href="https://www.datasciencecentral.com/video/data-viz-re-examining-what-we-thought-we-knew"><br /> <img src="https://api.ning.com/files/-WcWontfLutKNx0QAuh7rcicZnJgminZrTkMogXJphR48MDbQPiUCMPO5v6nGbPMG6VJQTLJcDGsQ6boiRaPoQOl9WPwLmF1/1278322977.jpeg?width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Instead of well-run experiments and real evidence, many supposed rules are based on opinion, aesthetic judgments, and incomplete or oversimplified studies. In this Data Science Central webinar, I will walk you through a number of things that we thought we knew, but that on closer inspection turned out to be wrong – it turned out that we didn’t know them, after all. Knowing what we know, what we don’t know, and what we merely assume, is important so we don’t rely on supposed rules that are not actually based on evidence. To figure out which is which, we have to keep asking a simple question: how do we know that?<br /> <br /> Speaker: Robert Kosara, Visual Analytics Researcher -- Tableau<br /> <br /> Hosted by: Bill Vorhies, Editorial Director -- Data Science Central How Not to Be Wrong About Visualization tag:www.datasciencecentral.com,2016-09-14:6448529:Video:468418 2016-09-14T21:43:10.165Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/how-not-to-be-wrong-about-visualization"><br /> <img alt="Thumbnail" height="135" src="https://api.ning.com/files/U7JnYe6VCEg7wvpZDe05aeRxEvxZD2cEegz4icobbdAA15Pl-euwMHGN6mUTViZVsvEoq0JblDMAuWbI1IPArmUK69YNmfg6/1236471040.jpeg?width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Many of the things we take for granted in visualization are based on nothing other than hearsay and maybe somebody’s aesthetic judgment. Even seemingly obvious things turn out to be wrong when we start to question them.<br></br> <br></br> In this DSC webinar, Robert will walk you through a number of examples that show the limits of what we know about visualization. As a… <a href="https://www.datasciencecentral.com/video/how-not-to-be-wrong-about-visualization"><br /> <img src="https://api.ning.com/files/U7JnYe6VCEg7wvpZDe05aeRxEvxZD2cEegz4icobbdAA15Pl-euwMHGN6mUTViZVsvEoq0JblDMAuWbI1IPArmUK69YNmfg6/1236471040.jpeg?width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Many of the things we take for granted in visualization are based on nothing other than hearsay and maybe somebody’s aesthetic judgment. Even seemingly obvious things turn out to be wrong when we start to question them.<br /> <br /> In this DSC webinar, Robert will walk you through a number of examples that show the limits of what we know about visualization. As a particular example, he will talk about his recent research on pie charts. Yes, pie charts! How do we read pie charts? Look at any number of books, and they will tell you that we look at the central angle of a slice. That is important, because it means that removing the center (like in a donut chart) will lead to less accuracy. But it's not true. And worse, this question hasn't been studied since 1926 — ninety years ago! It’s only one of the most used chart types out there, and yet there are lots of things we don’t know about it.<br /> <br /> Attend this DSC webinar and find out what else you’re probably wrong about!<br /> <br /> Speaker: Robert Kosara, Visual Analytics Researcher -- Tableau<br /> <br /> Hosted by: Bill Vorhies, Editorial Director -- Data Science Central DSC Webinar Series: From Visual Analysis to Presentation tag:www.datasciencecentral.com,2015-11-10:6448529:Video:349824 2015-11-10T23:52:05.031Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-from-visual-analysis-to-presentation"><br /> <img alt="Thumbnail" height="180" src="https://api.ning.com/files/BDRakL243OA8NqKTgLcYM9bQQMpTWJpjYhlebFN4D*hDbqnUorZ6giHgC-9MUmbK9I4cFl1qzHPA3Rd7gOwGH6j8y7hrzSRJ/1154462231.jpeg?width=240&amp;height=180" width="240"></img><br /> </a> <br></br>While most of us understand how to analyze our data using visualization quite well, and well aware of the overall importance of using visualization to present our findings, the process of going from one to the other is still often a challenge and otherwise poorly understood.<br></br> <br></br> In our next DSC Webinar Series, Data Visualization Research… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-from-visual-analysis-to-presentation"><br /> <img src="https://api.ning.com/files/BDRakL243OA8NqKTgLcYM9bQQMpTWJpjYhlebFN4D*hDbqnUorZ6giHgC-9MUmbK9I4cFl1qzHPA3Rd7gOwGH6j8y7hrzSRJ/1154462231.jpeg?width=240&amp;height=180" width="240" height="180" alt="Thumbnail" /><br /> </a><br />While most of us understand how to analyze our data using visualization quite well, and well aware of the overall importance of using visualization to present our findings, the process of going from one to the other is still often a challenge and otherwise poorly understood.<br /> <br /> In our next DSC Webinar Series, Data Visualization Research Scientist Robert Kosara, will walk through an example of an analysis project to illustrate the process of analyzing data, finding the key insights, and then turning them into an effective presentation.<br /> <br /> Speaker:<br /> Robert Kosara, Data Visualization Research Scientist -- Tableau Software<br /> <br /> Hosted by:<br /> Bill Vorhies, Editorial Director -- Data Science Central DSC Webinar Series: How Do We Know That? An Introduction to Visualization Research tag:www.datasciencecentral.com,2015-08-04:6448529:Video:307528 2015-08-04T22:27:39.944Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-how-do-we-know-that-an-introduction-to"><br /> <img alt="Thumbnail" height="180" src="https://api.ning.com/files/*k9pHGBCHsnYniQDUI33nAidiaoMTxMD5t8QJKYi5Fye0kQW-Zd8i5mzUm6zJe1PRCNhtxWRA5GRNt-qV-B7uk0AIl2H7kjr/1136078767.jpeg?width=240&amp;height=180" width="240"></img><br /> </a> <br></br>Pie charts are bad, right? Bar charts are good, but stacked bars aren’t. And there are lots of other things you have probably heard. But how do we know those things? There is a very active research community that is looking into these questions and trying to find out what works and what doesn’t, how well we can see and compare certain things,… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-how-do-we-know-that-an-introduction-to"><br /> <img src="https://api.ning.com/files/*k9pHGBCHsnYniQDUI33nAidiaoMTxMD5t8QJKYi5Fye0kQW-Zd8i5mzUm6zJe1PRCNhtxWRA5GRNt-qV-B7uk0AIl2H7kjr/1136078767.jpeg?width=240&amp;height=180" width="240" height="180" alt="Thumbnail" /><br /> </a><br />Pie charts are bad, right? Bar charts are good, but stacked bars aren’t. And there are lots of other things you have probably heard. But how do we know those things? There is a very active research community that is looking into these questions and trying to find out what works and what doesn’t, how well we can see and compare certain things, etc.<br /> <br /> In this next DSC Webinar, we will give a brief overview of some of the early roots of visualization research, as well as some of the very fundamental research that has led us to where we are right now. In addition, we will show some of the open questions that we are only starting to address.<br /> <br /> Speaker: Robert Kosara, Research Scientist --Tableau Software<br /> <br /> Hosted by: Bill Vorhies, Senior Contributing Editor -- Data Science Central