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Shiny App Collaboration: Social Spatial Polarization #20

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Lfrueh opened this issue Nov 16, 2023 · 4 comments
Closed

Shiny App Collaboration: Social Spatial Polarization #20

Lfrueh opened this issue Nov 16, 2023 · 4 comments
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@Lfrueh
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Lfrueh commented Nov 16, 2023

Name

Lisa Frueh

Job title

PhD Student

Department

Environmental and Occupational Health Department

Request type

Code review / collaboration

Output

Technical consultation

Request description

I’ve been working on a Shiny App to build an interactive, GIS-based resource for displaying ICE measures (a measure of racial/ethnic segregation). I made a lot of progress on my own but have stalled as I can’t get the performance smoother, and for any spatial scales smaller than a county area, the app crashes online. Steve suggested I reach out to you for some troubleshooting advice. I know this is a busy time of year, but is there a time in the next few months where you might be able to look through my code or sit down with me and look through it together? Right now I’m looking to improve performance enough to make it worth paying to host the app online (since the free version of shinyapps.io can’t seem to handle this size).

Example

Current version of the app

Data repository Github

Data

Data is publicly available ACS data.

Notes

I'm relatively new to collaborating on Github, so I might need a little advice on how to merge changes back into the 'main' branch.

@ran-codes ran-codes self-assigned this Nov 16, 2023
@ran-codes
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This looks great @Lfrueh 👍 . Will take a look and give updates next Friday!

Thanks,
Ran

@ran-codes
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Initial Evaluation

  • any spatial scales smaller than a county area, the app crashes online
  • Right now I’m looking to improve performance enough to make it worth paying to host the app online (since the free version of shinyapps.io can’t seem to handle this size).

Random thoughts for @ran-codes follow up on

  • try hosting on UHC shinyappsio account (can extend RAM)
  • boundary simplifications (by defeulat tigris boundaries are very high resolution nd thus take up a lot of RAM).
  • data structure flow (filtering or duplicate data structures causing excessive memory usage)

@ran-codes
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ran-codes commented Dec 8, 2023

Notes from 12/8/23 meeting

@ran-codes
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@Lfrueh let me know how the deployment works (#21). If the production version on the UHC ShinyAppsio is working okay, please feel free to close this issue.

Again ... your app looks great haha. way ahead of when I was a grad student. 😄

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