However, if the end-user is not accustomed to these steps, this adds friction, which can deter the user. If you are both the creator and end-user of the app, this means you will be comfortable or at least capable of completing these necessary steps EACH time you use the app.
PITCHWERKS COLUMBUS COLLABORATORY DOWNLOAD
If you deploy it locally without making it a desktop app, this means the user will need to be comfortable and willing to download R and RStudio, load the proper packages with correct versioning, and run the app script. When it comes to deploying these Shiny apps, you must consider the end-user. The common options for deploying Shiny apps are either locally through R or on the Shiny server. To see some of the apps I’ve made (due for an update) you can look at. A great resource to gather Shiny app ideas from is. Shiny apps can be one page or multiple pages with each page having the option for different layouts with options for tables, graphs, text, images, and maps. These applications could range from a static dashboard to display an analysis to an interactive application that takes user input to build models and provide dynamic actionable predictions for the user. Shiny is the framework for deploying applications using R programming. What is Shiny and What Are the Deployment Options: If your interest is less on the technical side there may still be some points that interest you such as considerations for cost, ease of use (friction), and data privacy. While it is not impossible to follow these directions without these prerequisites, I expect a reader meeting these criteria will have an easier time.
This article assumes the reader is comfortable navigating R and developing Shiny apps as well as some familiarity with using command line. With special attention to problems I faced and how I solved them.How-to example: package a Shiny app into a desktop executable.When you might want standalone desktop deployment.What is Shiny and what are the deployment options.
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