Interactive Web-Based Data Visualization with R, plotly, and shiny

The book "Interactive Web-Based Data Visualization with R,plotly,and Shiny" is a comprehensive guide for data analysts who want to create interactive web graphics for multidimensional data analysis. It covers programming interactive web graphics with R,plotly,and shiny,including converting static ggplot2 graphics to interactive web-based forms,linking,animating,and arranging multiple plots,embedding,modifying,and responding to plotly graphics in a shiny app,and learning best practices for visualizing continuous,discrete,and multivariate data. The book also emphasizes best practices for visualization of high-dimensional data,statistical graphics,and graphical perception.

Format: Paperback / softback
Length: 470 pages
Publication date: 29 January 2020
Publisher: Taylor & Francis Ltd

The Interactive Web-Based Data Visualization with R,plotly,and shiny is a comprehensive guide designed to empower data analysts with the ability to create interactive web graphics for multidimensional data analysis. Written with a focus on accessibility, it is tailored for individuals who wish to leverage the power of interactive web graphics without the need for extensive web programming knowledge.

Through a series of detailed R code examples, readers will delve into the extensive functionalities of these tools, enabling them to enhance the presentation and exploration of data. By mastering these concepts and techniques, readers will impress their colleagues with their ability to quickly generate more informative, engaging, and reproducible interactive graphics using free and open-source software that can be shared via email, exported to PDF, and more.

Key Features:
1. Conversion of Static ggplot2 Graphics to Interactive Web-Based Form: This book showcases how to transform static ggplot2 graphics into interactive web-based visuals. It provides step-by-step instructions on how to link, animate, and arrange multiple plots within standalone HTML, allowing for seamless integration and customization of visualizations.
2. Integration with plotly: The book extensively utilizes plotly for graphical rendering, offering readers a comprehensive understanding of its features and capabilities. It demonstrates how to embed, modify, and respond to plotly graphics within a shiny app, enabling interactive and dynamic visualization experiences.
3. Exploration of Data Visualization Best Practices: The book delves into best practices for visualizing continuous, discrete, and multivariate data. It covers various techniques, such as scatter plots, bar charts, heatmaps, and interactive dashboards, providing insights into effective data representation and interpretation.
4. Visualization of Geo-Spatial Data: The book offers comprehensive guidance on visualizing geo-spatial data, leveraging R packages like sf and rgdal to create interactive maps and visualizations. It covers topics such as spatial interpolation, choropleth maps, and geospatial analysis, enabling data analysts to effectively communicate and explore spatial data.
5. Integration with Other R Packages: In addition to plotly, the book discusses other R packages that support different phases of a data science workflow, including tidyr, dplyr, and tidyverse. It provides insights into their functionalities and how they can be integrated into a visualization pipeline, enhancing the efficiency and effectiveness of data analysis.
6. Best Practices for High-Dimensional Data Visualization: The book emphasizes the visualization of high-dimensional data, covering techniques such as dimensionality reduction, clustering, and visual exploration. It discusses the use of tools like t-SNE, PCA, and UMAP, enabling data analysts to effectively handle and interpret complex data sets.
7. Statistical Graphics and Graphical Perception: The book explores statistical graphics and graphical perception, covering topics such as regression analysis, hypothesis testing, and statistical visualization. It provides practical examples and tips on how to present data in a visually appealing and informative manner, enhancing the overall effectiveness of data communication.
8. Interactive Website Supplement: The printed book is complemented by an interactive website where readers can view movies demonstrating the examples and interact with graphics. This interactive feature enhances the learning experience by allowing readers to explore and experiment with the visualizations in a hands-on manner.

In summary, The Interactive Web-Based Data Visualization with R,plotly,and shiny is a valuable resource for data analysts and scientists who seek to enhance their data presentation and exploration capabilities. By leveraging the power of interactive web graphics, readers can create more informative, engaging, and reproducible visualizations using free and open-source software. Through its comprehensive coverage of key features, best practices, and practical examples, this book empowers data analysts to communicate their findings effectively and make meaningful insights from their data. Whether you are a beginner or an experienced data analyst, this book will provide you with the tools and knowledge necessary to unlock the full potential of data visualization.

Weight: 730g
Dimension: 156 x 235 x 22 (mm)
ISBN-13: 9781138331457