2018-02-26
R Markdown: Eight ways
Share
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.
Speakers
Mine Çetinkaya-Rundel
Data science educator at Duke University and Posit
Dr. Mine Çetinkaya-Rundel, a leading voice in data science education and a passionate advocate for making data and statistics more accessible, engaging, and reproducible. Mine is Professor of the Practice at Duke University in the Department of Statistical Science and Senior Developer Advocate at Posit, PBC, where she’s part of the tidyverse team.
Her work has transformed how data science is taught, emphasizing openness, reproducibility, and hands-on learning. She’s a co-author of influential open textbooks like R for Data Science and OpenIntro Statistics, which have guided countless learners on their journey into statistics and data science.
Mine’s contributions to education and open science have earned her several accolades, including the Waller Education Award by the American Statistical Association, the Robert V. Hogg Award by the Mathematical Association of America, and the Pickard Award by Harvard University's Department of Statistics, honoring her innovative teaching and dedication to expanding access to statistics and data science education.
Through her teaching, open-source work, and advocacy, Mine continues to inspire new generations of data scientists to not only analyze data—but to do so with curiosity, creativity, and purpose.
Her work has transformed how data science is taught, emphasizing openness, reproducibility, and hands-on learning. She’s a co-author of influential open textbooks like R for Data Science and OpenIntro Statistics, which have guided countless learners on their journey into statistics and data science.
Mine’s contributions to education and open science have earned her several accolades, including the Waller Education Award by the American Statistical Association, the Robert V. Hogg Award by the Mathematical Association of America, and the Pickard Award by Harvard University's Department of Statistics, honoring her innovative teaching and dedication to expanding access to statistics and data science education.
Through her teaching, open-source work, and advocacy, Mine continues to inspire new generations of data scientists to not only analyze data—but to do so with curiosity, creativity, and purpose.