https://github.com/johnmackintosh/scodas-dbexplorer

loop over database tables using dynamic SQL via R, and and display results in shiny app
https://github.com/johnmackintosh/scodas-dbexplorer

business-intelligence r rshiny rshinydashboard shiny shinydashboard sql sql-server

Last synced: about 1 month ago
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loop over database tables using dynamic SQL via R, and and display results in shiny app

• Host: GitHub
• URL: https://github.com/johnmackintosh/scodas-dbexplorer
• Owner: johnmackintosh
• License: gpl-3.0
• Created: 2022-06-14T12:51:03.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2022-06-15T12:33:09.000Z (over 2 years ago)
• Last Synced: 2024-11-30T23:04:46.540Z (about 2 months ago)
• Topics: business-intelligence, r, rshiny, rshinydashboard, shiny, shinydashboard, sql, sql-server
• Language: R
• Homepage:
• Size: 40 KB
• Stars: 19
• Watchers: 1
• Forks: 5
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• jimsghstars - johnmackintosh/scodas-dbexplorer - loop over database tables using dynamic SQL via R, and and display results in shiny app (R)

README

        
# scodas-dbexplorer

code for SQL queries to loop over database tables,  and shiny app to display / monitor values,  presented at SCODAS meeting 2022-06-14

N.B. - there are 2 versions of the app.  

The version demonstrated, which has one dashboard tab, is in the main branch.  

Use the app-with-metadata branch for revised layout, featuring an additional tab and table which displays metadata about the current selected table.  

See the screenshot below to navigate to the app-with-metadata branch: 

![image](https://user-images.githubusercontent.com/3278367/173827203-3cca0396-6c01-466d-bb2a-741760e13fb6.png)

see these blog posts for further info

# interpolation - what is it?

https://www.johnmackintosh.net/blog/2021-10-20-interpolation/  

# flexible SQL queries:

https://www.johnmackintosh.net/blog/2022-04-06-sql-schema-query/  

# the code you need for the back end of the app:

https://www.johnmackintosh.net/blog/2022-04-28-purrr-sql/  

# opinion - keep your SQL outside your R script

https://www.johnmackintosh.net/blog/2022-02-08-separate-sql/