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DESCRIPTION:Click for Latest Location Information: http://edw2017.dataversity.net/sessionPop.cfm?confid=103&proposalid=9518\nData visualization is an important part of analytics. Analytics effectiveness and impact depends on visualization skills of two kinds -  the ability to create visuals and the ability to understand visuals. The real value of visualization does not come from creating visuals but from understanding what they can tell you. With the language of words, we learn reading and writing as separate but related skills. Similarly, with visual language we need to learn understanding (reading) and creating (writing) as distinct but related skills. There are many books, courses, and other resources that teach people how to develop data visualizations but few that teach how to read and understand them. This presentation aims to fill that gap by teaching the core capabilities of understanding and interpreting data visualizations. \nTopics include:\n\nTen key concepts of data visualization\nThe most important things to look for when reading visualizations\nHow to do a “quick read” of data visualizations\nHow to do a “critical read” of data visualizations\nHow to see trends, patterns, and outliers in the visual presentation of data\nHow to see ambiguity, distortion, and bias in the visual presentation of data
DTSTART:20170403T133000
SUMMARY:PM8: Pattern Spotting: Seeing the Real Meaning in Data Visualizations
DTEND:20170403T164459
LOCATION: See Description
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