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Report Writing for Data Science in R (2019 Update)

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This book teaches the fundamental concepts and tools behind reporting modern data analyses in a reproducible manner. As data analyses become increasingly complex, the need for clear and reproducible report writing is greater than ever. The material for this book was developed as part of the industry-leading Johns Hopkins Data Science Specialization. Printed versions are available through Lulu

Author(s): Roger D. Peng
Year: 2023

Language: English
Pages: 119

Table of Contents
Stay in Touch!
Getting Started with R
What is Reproducible Reporting?
The Data Science Pipeline
Literate Statistical Programming
Organizing a Data Analysis
Structure of a Data Analysis: Part 1
Structure of a Data Analysis: Part 2
Markdown
Using knitr for Reproducible Reports
Communicating Results Over E-mail
Reproducibility Check List
Evidence-based Data Analysis
Public Reproducibility Resources
About the Author