![]() Avoid including data processing scripts anywhere in the app as they may cause a significant slowdown. Preprocessingĭata comes in a lot of forms, but it’s crucial to make the data ready for use beforehand. As the dataset grows in size, how you handle it gains importance and affects the performance of the app. Shiny apps are often built to interact with a dataset. Read more: Why You Should Use Shiny for Enterprise Application Development Proper Data Handling ![]() In this article, I’ll cover techniques that you can employ to speed up Shiny. There are a few good practices to have in mind in order to keep a growing app performing quickly as well as few things you could do to improve the performance of one already built. ![]() Speeding up Shiny is possible and the methods described below can prevent or resolve these issues. Prototyping apps in Shiny is fast and easy, but once an app grows, performance issues may arise. ![]()
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