All Videos Tagged Data Viz (Data Science Central) - Data Science Central 2019-10-21T15:22:27Z https://www.datasciencecentral.com/video/video/listTagged?tag=Data+Viz&rss=yes&xn_auth=no Data Viz: Painting a Truthful Point of View tag:www.datasciencecentral.com,2018-02-02:6448529:Video:689545 2018-02-02T22:26:55.704Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/data-viz-painting-a-truthful-point-of-view"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/2781532309?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>We all know that Data does not lie. However, when we create visualizations we may at times “stretch the truth.” This is often done to help others realize the true story, at least the truth as it’s been revealed to us through data. So what are the implications of that? And how do we approach data visualizations ethically? Another important point is that Data is… <a href="https://www.datasciencecentral.com/video/data-viz-painting-a-truthful-point-of-view"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2781532309?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />We all know that Data does not lie. However, when we create visualizations we may at times “stretch the truth.” This is often done to help others realize the true story, at least the truth as it’s been revealed to us through data. So what are the implications of that? And how do we approach data visualizations ethically? Another important point is that Data is not just facts; and through Data Visualizations it is our next creative medium.<br /> <br /> In this latest Data Science Central live webinar, Jeff Pettiross of Tableau Research will explore the parallel history of painting and data, studying their emergence as creative fields, and then ground that theory with tools and techniques to visualize and present data both creatively and truthfully.<br /> <br /> Speaker: Jeff Pettiross, Senior Manager, UX Research -- Tableau<br /> <br /> Hosted by: Bill Vorhies, Editorial Director -- Data Science Central Data Viz – Death to Flat Dashboards tag:www.datasciencecentral.com,2017-05-18:6448529:Video:564852 2017-05-18T19:57:48.966Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/data-viz-death-to-flat-dashboards"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/2781552100?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>There are many options today to simply visualize your data, but that is no longer enough to be competitive. To get the most out of your data, and to empower everyone in your organization to make better decisions with your data, you need far more than pretty charts. To compete, organizations today need to leverage every possible tool to get the deepest insight into your… <a href="https://www.datasciencecentral.com/video/data-viz-death-to-flat-dashboards"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2781552100?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />There are many options today to simply visualize your data, but that is no longer enough to be competitive. To get the most out of your data, and to empower everyone in your organization to make better decisions with your data, you need far more than pretty charts. To compete, organizations today need to leverage every possible tool to get the deepest insight into your data, make smarter decisions, and respond quickly to emerging opportunities and threats.<br /> <br /> <br /> Join us for our next Data Science Central webinar to learn how Spotfire will enable you to build smart analytical applications; such as:<br /> <br /> In-line data wrangling<br /> Recommendation-driven visualizations<br /> Beautiful maps<br /> Point and click data science tools<br /> Leveraging machine learning from R community and beyond<br /> Learn how all of this is immediately available at your fingertips.<br /> <br /> Speakers:<br /> Hector Martinez -- Senior Staff Solutions Consultant -- Tibco Spotfire<br /> Louis Bajuk-Yorgan -- Senior Director, Product Management, Streaming &amp; Advanced Analytics -- Tibco<br /> <br /> Hosted by:<br /> Bill Vorhies, Editorial Director -- Data Science Central 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://storage.ning.com/topology/rest/1.0/file/get/2781529987?profile=original&amp;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://storage.ning.com/topology/rest/1.0/file/get/2781529987?profile=original&amp;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://storage.ning.com/topology/rest/1.0/file/get/2781530895?profile=original&amp;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://storage.ning.com/topology/rest/1.0/file/get/2781530895?profile=original&amp;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 Shaping Data Stories with Neuroscience tag:www.datasciencecentral.com,2016-05-25:6448529:Video:428838 2016-05-25T01:06:21.475Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/shaping-data-stories-with-neuroscience"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/2781530589?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Whether told through words, images, or sounds, a good story creates physiological responses in our brains and bodies, from unforgettable memories to overwhelming tears. In the next Data Science Central webinar, we will examine the neuroscience principles of vision, memory, and attention in storytelling. We will review scientific data and draw on examples from film,… <a href="https://www.datasciencecentral.com/video/shaping-data-stories-with-neuroscience"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2781530589?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Whether told through words, images, or sounds, a good story creates physiological responses in our brains and bodies, from unforgettable memories to overwhelming tears. In the next Data Science Central webinar, we will examine the neuroscience principles of vision, memory, and attention in storytelling. We will review scientific data and draw on examples from film, oral storytelling and Tableau to leave attendees with a deeper understanding of the brain and the stories it forms every day.<br /> <br /> Speaker: Rawi Nanakul, Senior Consultant -- Tableau<br /> Hosted by: Bill Vorhies, Editorial Director -- Data Science Central