Beyond static reports with R Markdown

July 26, 2017 Jonathan Regenstein

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Abstract
R Markdown is an awesome tool for creating reproducible data science by way of PDFs and HTML reports. In this webinar we will explore some less well-known but still awesome uses of Rmarkdown, including: single input parameterized reports, more complex multi-input parameterized reports and Shiny apps via flexdashboard. This webinar will help your data science team unleash the full power of Rmarkdown!

About the Author

Jonathan Regenstein

Jonathan leads the financial services practice at RStudio and works with data science teams at a variety of financial institutions. He studied International Relations as an undergraduate at Harvard, worked in finance at JP Morgan and then did graduate work in Political Economy at Emory University before joining RStudio. He is the author of the book Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis (CRC Press, 2018) http://www.reproduciblefinance.com/. He is also a regular to contributor to Rviews (rviews.rstudio.com/categories/reproducible-finance).

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R Markdown and knitr make it easy to intermingle code and text to generate compelling reports and presentations that are never out of date.
R Markdown and knitr make it easy to intermingle code and text to generate compelling reports and presentations that are never out of date.

R Markdown and knitr make it easy to intermingle code and text to generate compelling reports and presentat...

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