Once More, With Feeling: Tips and Tools for Reproducible Reporting

Recorded On: 11/13/2019


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Requests of "Repeat this analysis, but for a different timeframe/business unit" or "I'd like these results delivered to me weekly" are likely familiar to those who analyze data. Addressing these and similar issues with a reproducible workflow can save time and effort in the long run, while simultaneously fostering a culture of transparency and trust. This session introduces reproducible methods to best suit users’ skill levels and organizational needs.

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Once More, With Feeling: Tips and Tools for Reproducible Reporting
Recorded 11/13/2019
Recorded 11/13/2019 Requests of “Repeat this analysis, but for a different timeframe/business unit” or “I’d like these results delivered to me weekly” are likely familiar to those who analyze data. Addressing these and similar issues with a reproducible workflow can save time and effort in the long run, while simultaneously fostering a culture of transparency and trust. This session introduces reproducible methods to best suit users’ skill levels and organizational needs.

James Rogol

Data Consultant

University of Virginia

James Rogol joined the University of Virginia’s Central Advancement Business Intelligence group in 2018. In partnership with the University’s multitude of schools, units and foundations, he tackles data science problems to better inform strategic decision making. A “Double Hoo,” he holds a bachelor of arts in Russian literature and language and a master of science in data science from UVA. Prior to joining the philanthropic sector, James worked as a videographer, video coordinator and performance analyst for teams at the University of California, University of Virginia and the United States Soccer Federation. A veteran of national and regional broadcasts of athletic events, he continues to freelance for the ACC Network.