RShiny App Disconnected From Server

[cogniticx]

I'm working on a dataset with date time variable and is roughly 15 MB in size. I'm using free RShiny Account currently. In my RShiny Application, I've Date Controls (2 Date Inputs) - (Start Date and End Date) basis which the main panel outputs vary. Start Date's minimum value is 17th August 2020, and maximum value is System Date. Further, I've 4 Value Boxes, 4 Visualization Plots (Line Chart, Pie Chart, Bar Chart and a WordCloud 2 Plot) and 3 Data Table Outputs. The application bundle size is roughly 7.5 MB and runs perfectly fine with deployment. Post deployment, as I change the start date to it's minimum value (keeping end date as default Current System Date), my app gets Disconnected from the server. What's the reason for the same? Is this because of high memory? Also, please let me know the solution for this. Thanks.

[andresrcs]

We don't have enough information to help you out, Could you check what your app's logs say?

[cogniticx]

Please find below the link for my application logs. Please let me know the solution for the same.

https://drive.google.com/file/d/1DObY8VOdDzp5PJJFqCodAJUvrJEmdB1F/view?usp=sharing

[andresrcs]

There is nothing evident that I can see but it seems there is a problem with filtering applied to your data, to help us help you, could you please prepare a reproducible example (reprex) illustrating your issue? Please have a look at this resources, to see how to create one for a shiny app

Chapter 5 Workflow | Mastering Shiny

Shiny debugging and reprex guide

Shiny issues can be challenging to resolve relative to other problems with your code or statistical methods. Shiny apps are often large, complex projects with interacting files. When seeking help from others it is considered polite to: First, do your best to work through RStudio's debugging tools to diagnose your issue on your own. Often those shiny logs and tracebacks are useful to others trying to help out. Second, strive to minimize the effort required to replicate your issue. You can do this with a reproducible example ("reprex"). Shiny Debugging Errors in Shiny code can be difficult to track down. If you don't know where your problem is coming from, you can track it down with some o…