R Markdown provides an authoring framework for data science where you can save and execute code and generate high quality reports all from one file. In this talk we showcase the versatility and flexibility of R Markdown to achieve eight different outputs with minimal customization to the input file.
Mine Çetinkaya-Rundel is Professor of the Practice in the Department of Statistical Science at Duke University and Developer Educator at Posit. Mine’s work focuses on innovation in statistics and data science pedagogy, with an emphasis on computing, reproducible research, student-centered learning, and open-source education. She is a co-author of R for Data Science, Introduction to Modern Statistics, and OpenIntro Statistics. She is also the creator and maintainer of datasciencebox.org and she teaches the popular Data Analysis with R and Data Science with R specializations on Coursera.
