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Shiny for Data Applications Interactive Dashboards, Analytical Tools, and R App Development [#1042533]
Shiny for Data Applications: Interactive Dashboards, Analytical Tools, and R App Development by Julian K. Mercer
English | May 17, 2026 | ASIN: B0H22W7556 | 388 pages | EPUB | 0.49 Mb
Reactive Publishing Shiny for Data Applications is a practical guide to developing interactive data tools with R and Shiny. Designed for analysts, data scientists, researchers, and technical professionals, this book explains how Shiny can be used to transform static analysis into dynamic applications that support exploration, reporting, and decision-making.
Inside, readers will learn how Shiny applications are structured, how reactive programming works, and how user inputs, outputs, layouts, modules, and server logic fit together. The book covers dashboard design, data visualization, interactive filtering, analytical workflows, and the development of reusable components for more organized Shiny projects.
Rather than treating Shiny as a simple dashboard layer, this guide presents it as a flexible framework for building data applications that combine statistical analysis, visualization, and user interaction. Topics include application architecture, UI design, reactive expressions, modular development, data handling, performance considerations, deployment concepts, and practical patterns for maintaining larger Shiny projects.
This book is suitable for readers who already have a working knowledge of R and want to apply it in more interactive, application-oriented contexts.
Topics include:
Shiny application structure
Reactive programming concepts
User interfaces and server logic
Interactive dashboards and data tools
Data visualization workflows
Modules and reusable components
Application organization and maintenance
Performance and deployment considerations
R-based analytical app development
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