R - Shiny

R - Shiny

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R Shiny for Enterprise - Applison
R Shiny for Enterprise - Applison
We create, maintain, and develop enterprise R Shiny dashboards. We deliver rapid development, scalability to thousands of users, and sophisticated UIUX.
·appsilon.com·
R Shiny for Enterprise - Applison
Interactive Viewing of Spatial Data in R • mapview
Interactive Viewing of Spatial Data in R • mapview
Quickly and conveniently create interactive visualisations of spatial data with or without background maps. Attributes of displayed features are fully queryable via pop-up windows. Additional functionality includes methods to visualise true- and false-color raster images and bounding boxes.
·r-spatial.github.io·
Interactive Viewing of Spatial Data in R • mapview
Dean Attali - R-Shiny consultant
Dean Attali - R-Shiny consultant
R-Shiny developer and consultant with a MSc in Bioinformatics and a Bachelor of Computer Science. Previously a software engineer at Google, IBM, and Wish.com.
·deanattali.com·
Dean Attali - R-Shiny consultant
datastorm-open/shinymanager
datastorm-open/shinymanager
Simple and secure authentification mechanism for single shiny applications. - datastorm-open/shinymanager
·github.com·
datastorm-open/shinymanager
Best Practices: Shiny Development - shiny - RStudio Community
Best Practices: Shiny Development - shiny - RStudio Community
My workflow is like below: Plan out the type of app. For a lot of applications, sometimes a htmlwidget in Rmd will do, and covers more cases as time goes on and javascript gets cooler. This is preferable as then you can publish to any server, not needing Shiny. But if it needs more server side interaction, I look at using flexdashboard to keep Rmd elements, but have shiny embedded. If its a big app though, its easier to keep track using a ui.R or a HTML template. I have a HTML template ba...
·community.rstudio.com·
Best Practices: Shiny Development - shiny - RStudio Community
Best Practice: Development of Robust Shiny Dashboards as R Packages
Best Practice: Development of Robust Shiny Dashboards as R Packages
This article describes best practice approaches for developing shiny dashboards. The creation of the dashboard in package form, as well as the use of unit tests should enable the development of robust solutions and guarantee high quality.
·inwt-statistics.com·
Best Practice: Development of Robust Shiny Dashboards as R Packages
Add POST requests to {shiny} with {brochure} - Colin Fay
Add POST requests to {shiny} with {brochure} - Colin Fay
[Disclaimer] The package presented in this blog post is stillexperimental at the time of writing these lines (2021-02-28), so itmight face some API changes in the future.Yesterday Jacqueline’s tweeted about her need to add POST requests toa {shiny} application.I'm astounded that it doesn't seem like a Shiny app is able to acceptPOST requests. I have data I wanna pass to my server :/— Dr. Jacqueline Nolis (@skyetetra)February27, 2021This is actually one of the things I had in mind when building{brochure}: more flexibility with the HTTP requests and how they arehandled.So here is a working ex...
·colinfay.me·
Add POST requests to {shiny} with {brochure} - Colin Fay
Bookmarking a Shiny app without Shiny bookmarking
Bookmarking a Shiny app without Shiny bookmarking
I do not well remember, but it seems to me I faced some difficulties when I tried to use Shiny bookmarking to save and restore the state of a Shiny app. These difficulties arose when there were some rende...
·r-bloggers.com·
Bookmarking a Shiny app without Shiny bookmarking
Shiny in Production: App and Database Syncing | R-bloggers
Shiny in Production: App and Database Syncing | R-bloggers
When using shiny in production, often you will want to have some sort of database interactions for storing and accessing data. The DBI package provides an easy way to do the database interactions with a variety of SQL database flavors. In this example, I’m going to use a SQLite ...
·google.com·
Shiny in Production: App and Database Syncing | R-bloggers
R shiny app dashboards in 2021: The Ultimate Guide for Busy People
R shiny app dashboards in 2021: The Ultimate Guide for Busy People
In this guide you’ll find both original content and curated resources to: + Build R shiny apps from scratch + Select the optimal dashboard framework for your R shiny app dashboard + R packages to build interactive, professional quality data visualization + Improve the user experience and dashboard speed tricks + All the ways you can deploy and share R shiny app dashboards + Lessons from a dashboard veteran for better R shiny app dashboards
·yakdata.com·
R shiny app dashboards in 2021: The Ultimate Guide for Busy People