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
"synopsis" may belong to another edition of this title.
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Paperback. Condition: new. Paperback. Reactive PublishingShiny 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 structureReactive programming conceptsUser interfaces and server logicInteractive dashboards and data toolsData visualization workflowsModules and reusable componentsApplication organization and maintenancePerformance and deployment considerationsR-based analytical app development This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798197272669
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Taschenbuch. Condition: Neu. Neuware - Reactive PublishingShiny 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 structureReactive programming conceptsUser interfaces and server logicInteractive dashboards and data toolsData visualization workflowsModules and reusable componentsApplication organization and maintenancePerformance and deployment considerationsR-based analytical app development. Seller Inventory # 9798197272669