![create twitter dashboard create twitter dashboard](https://cdn.cms-twdigitalassets.com/content/dam/help-twitter/managing-your-account/desktop2.png)
This is a simple, widely used method to add them to a corporate web site, a personal blog or hand-crafted web pages. You can embed R shiny apps on a web site using an iframe.
![create twitter dashboard create twitter dashboard](https://media.sproutsocial.com/uploads/PI_Engagement_Smart_Inbox_Reply_Hover_Twitter.png)
R shiny apps can be just for personal usage or shared with the team using open-source RStudio Shiny Server, RStudio’s shinyapps.io, YakData’s cloud servers, RStudio’s Shiny Server Pro, RStudio Connect or shinyProxy. R shiny apps allow you and your team to focus on the analysis results to better understand the signals and nuance in your data. With your R shiny app, you can display charts, tables, maps and essentially any data display output you build in R. These interactions are all programmed by you, the creator of the app. The linkage between the user interface and server function is called reactivity, which is basically the display updating based on user interaction with components of the shiny app. So, your R shiny app audience answers their questions on the spot about the data in your app by interacting with the user interface.
#CREATE TWITTER DASHBOARD CODE#
This is how shiny selectively reruns parts of your R code based on user interactions with the web page. The crucial step: your server function can dynamically react to changes in the control inputs from the UI function. The server function contains modular snippets of your R code to access data, transform data and specify data displays such as maps, charts, graphs and tables to be passed to the UI function.
![create twitter dashboard create twitter dashboard](https://grouptweet.com/blog/wp-content/uploads/2016/08/2016-08-01-11-38.png)
The UI function describes what data displays to show, what controls will be available and other relevant information like page titles and chart titles. Supported in all modern web browsers, it can be either for personal use or published to a server for sharing with anyone from a small team to the entire world.īehind the scenes, an R shiny app has a UI (user interface) function and a server function.
![create twitter dashboard create twitter dashboard](https://www.cozmoslabs.com/wp-content/uploads/2016/02/Profile-Builder-Pro-Social-Connect-Twitter-Apps-Enable-OAuth-Step5.png)
Interact with the sample R shiny app above, hosted on YakData’s cloud serversĪ shiny app is an interactive display of data on a web page driven by the statistical power of R. You interact with your R shiny app in your favorite web browser. Add the shiny package and you can build a shiny web app in R in minutes. Start with your handcrafted R program for data access, analyses and graphs. See help for more help with all things Shiny.Love your R programs? Want to share them online, complete with dynamic data interaction capabilities? Then the shiny package on CRAN is for you. Our developers monitor these forums and answer questions periodically. If you have questions about this article or would like to discuss ideas presented here, please post on RStudio Community. Comparison of two options flexdashboardįor more on this topic, see the following resources: Here, in addition to instructions for getting started, you can also browse example dashboards built with shinydashboard, along with their source code. See documentation and demos on the shinydashboard homepage. See documentation and demos on the flexdashboard homepage. optionally use Shiny to drive visualizations dynamically.offer storyboard layouts for presenting sequences of visualizations and related commentary, and.are flexible and easy to specify row and column-based layouts with intelligent re-sizing to fill the browser and adapted for display on mobile devices,.support a wide variety of components including htmlwidgets base, lattice, and grid graphics tabular data gauges and value boxes and text annotations,.use R Markdown to publish a group of related data visualizations as a dashboard,.You have two package options for building Shiny dashboards: flexdashboard and shinydashboard.