Beyond static reports with R Markdown

R Markdown is an awesome tool for creating reproducible data science by way of PDFs and HTML reports but also goes way beyond that.

Beyond static reports with R Markdown

July 26, 2017

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!

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About the speaker

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).