Includes bibliographical references (pages 324-325) and index.

Preface -- Reading science articles -- Reading materials written for broader publics -- Describing data -- Communicating through statistical graphs -- Communicating through code -- Organizing the story -- Writing the first draft -- Taking care with statistical terms -- Crafting words and sentences -- Revising : drafts #2 through ... -- Embracing your role as a scientist -- Building a portfolio.

"'Communicating with data' consists of five parts. Part I helps the novice learn to write by reading the work of others. Part II delves into the specifics of how to describe data at a level appropriate for publication, create informative and effective visualizations, and communicate an analysis pipeline through well-written, reproducible code. Part III demonstrates how to reduce a data analysis to a compelling story and organize and write the first draft of a technical paper. Part IV addresses revision; this includes advice on writing about statistical findings in a clear and accurate way, general writing advice, and strategies for proof-reading and revising. Part V offers advice about communication strategies beyond the page, which include giving talks, building a professional network, and participating in online communities. This book also provides 22 'portfolio prompts' that extend the guidance and examples in the earlier parts of the book and help writers build their portfolio of data communication."-- Back cover