Interactive Web-Based Data Visualization with R, Plotly, and Shiny Free

The advent of open-source R software has played an important role in transforming statistics into data Science. Consequently, the expectations of the scientific community from data science and its application have increased in the last decade. The R software has successfully bridged the gap over the previous two decades in applying the statistical tools to the data. A critical emphasis that emerged in data analysis is that the results should be available over the website. How to develop the tools so that the obtained statistical outcomes are published directly on the websites is needed. This book is a successful effort to add such a dimension in the application of R. It is a timely publication to help scientists using R to prepare the graphics and data visualization publishable in a web-based mode.

The book is a compilation of thirty four chapters divided into six parts covering fundamentals, applications, programmes and data-based applications in a self-learning style. An introduction to plotly package, scatter-based layers in the graphics, various aspects of creating the maps, bar diagrams, histograms, boxplots, two and three-dimensional plots using plotly packages are detailed in chapters 2 to 7 in the first part of the book. The second part of the book is in the next three chapters and presents a discussion on publishing views, all related aspects of graphics from saving to HTML, saving self-contained graphics, exporting graphics, and editing the views. The third part in chapters 13 and 14 covers various aspects of combining graphics and animating them. The fourth part in the next three chapters details the linking of multiple graphics and their related aspects using plotly and shiny packages. Issues of event handling in JavaScript are presented in the fifth part over five chapters. The next chapters in the last sixth part present other special topics related to the enhancement and application of the graphics.

The topics are illustrated with data-based examples. The R codes and their outcomes, including coloured graphics, are provided along with interpretations and explanations. By making a good and simple discussion with illustrations on various topics, the book successfully conveys the knowledge so that people can use them in their domains. The book is well worth recommending to be present on the library shelf. The availability of an online version of the book and its markdown files will help in better learning. The researchers, new entrants and practitioners with the knowledge of R interested in web-based data visualization will find it very helpful.