Setting up a reproducible data analysis workflow in R
You will save time, produce better results, create more trusted analyses, reduce risk of errors and encourage collaboration by implementing reproducible data analysis workflow techniques for data journalism. We will be going over R Notebooks and RMarkdown to weave together narrative text and code to produce elegantly formatted PDFs and HTML for sharing. We will walk through hosting these reports and raw data files on GitHub Pages. We will discuss best practices on how to structure your projects and repos. And if there is time, you will learn how to turn specific scripts into generalized functions to be used in future analyses.
This session is good for: R users interested in improving their workflow
Andrew Ba Tran is an investigative data reporter at The Washington Post. He shared in winning the Pulitzer Prize for Investigative Reporting in 2018. Tran previously was a data editor at The Connecticut Mirror's TrendCT.org, Prior to that, he was a data producer at The Boston Globe. He is an adjunct at American University. @abtran
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