shinydashboard
Shiny Dashboarding framework
shinydashboard is an R package that provides a framework for building administrative dashboards using Shiny. It enables developers to create dashboard-style web applications with a structured layout system.
The package offers pre-built UI components including sidebar menus, info boxes, value boxes, and tabbed content areas that follow dashboard design patterns. It simplifies the creation of professional-looking admin interfaces without requiring extensive CSS or HTML knowledge. The framework is designed specifically for monitoring applications, data visualization dashboards, and business intelligence tools.
Contributors#
Resources featuring shinydashboard#
Next Generation Shiny Apps with {bslib}
In this workshop, led by Garrick Aden-Buie, a software engineer for Shiny at Posit, you will learn how to build Shiny apps using modern user interfaces and layouts with bslib, the next generation of Shiny UI. Garrick will guide you through creating stylish and convenient dashboard layouts and components, demonstrating how bslib can effectively replace shinydashboard. Additionally, you will explore innovative techniques for deploying Shiny apps using shinylive, enabling the creation of static sites that run entirely in the user’s browser without the need for a Shiny server.
Main Sections
00:00 Introduction 11:00 Shiny 14:57 How bslib started 18:29 Theming from start to advanced 22:19 College Scorecard Data 39:24 bslib layouts 01:20:25 Advanced layouts 01:49:18 Filling Layouts 02:42:09 Details on demand 02:50:01 New inputs 02:53:15 Wrap up
More resources
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Shiny and R to Build Dynamic Dashboards
In a static report, you answer known questions. With a dynamic report, you give the reader the tools to answer their own questions. Unleash the full flexibility of analytic app development with Shiny.
In this talk, Winston Chang will discuss how to use R and Shiny to quickly create data dashboards. You’ll also get a glimpse of some new features in Shiny for presenting and interacting with data. He will also demonstrate how you can easily deploy apps to the web via RStudio’s hosting service shinyapps.io.
Related blog post: https://blog.rstudio.com/2017/05/18/shinydashboard-0-6-0/

