Includes bibliographical references and index.

Survey data -- Process -- Variables -- Categories -- Read data -- Parse values -- Validate data -- Pre-process data -- Build a dataset -- Basic statistics -- Create plots with ggplot2 -- Save plots to files -- R markdown -- Numeric plots -- Bar charts -- Percentage bars -- Diverging percentage bars -- Pie charts -- Lollipop plots -- Dot plots -- Heatmaps -- Geographic maps -- Missing value plots -- Validation plots.

"Visualizing Surveys in R is about creating static, print quality figures from survey data using R. The focus is not, for example, on statistical analysis of survey data, but rather on giving concrete solutions for typical problems in visualizing survey data. While there are many excellent books on data visualization, surveys and R, the aim of this book is to bring these topics together, and offer practical instructions for visualizing surveys in R. The key features of Visualizing Surveys in R: Introduction to survey data: variables, categories, and scales Description of a process for visualizing survey data Recommendations for reading survey data into R Advice on building a survey dataset in R to facilitate versatile plotting Step-by-step recipes in R for creating useful plots from survey data Intended for researchers who regularly use surveys and are interested in learning how to seize the vast possibilities and the flexibility of R in survey analysis and visualizations. The book is also valuable for psychologists, marketers, HR personnel, managers and other professionals who wish to standardize and automate the process for visualizing survey data. Finally, the book is suitable as a textbook for courses either more widely on survey studies or more strictly on visualizing survey data in R"-- Provided by publisher.