Report Writing for Data Science in R (2019 Update)

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 Table of Contents 4 Stay in Touch! 5 Getting Started with R 6 What is Reproducible Reporting? 8 The Data Science Pipeline 14 Literate Statistical Programming 18 Organizing a Data Analysis 21 Structure of a Data Analysis: Part 1 28 Structure of a Data Analysis: Part 2 36 Markdown 54 Using knitr for Reproducible Reports 61 Communicating Results Over E-mail 83 Reproducibility Check List 88 Evidence-based Data Analysis 100 Public Reproducibility Resources 116 About the Author 119