https://github.com/brianlang/builtin_modelling_r

Shiny App to explore and model the built-in datasets in R
https://github.com/brianlang/builtin_modelling_r

datasets exploratory-data-analysis r shiny-r statistics

Last synced: about 2 months ago
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Shiny App to explore and model the built-in datasets in R

• Host: GitHub
• URL: https://github.com/brianlang/builtin_modelling_r
• Owner: BrianLang
• Created: 2020-08-07T15:13:20.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2020-08-11T09:57:10.000Z (about 5 years ago)
• Last Synced: 2025-06-15T21:52:55.707Z (4 months ago)
• Topics: datasets, exploratory-data-analysis, r, shiny-r, statistics
• Language: R
• Homepage:
• Size: 5.86 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# builtin_modelling_R

Shiny App to explore and model the built-in datasets in R

The goal is to create a sort of playground to explore shiny functionality. 

- [x] Give users a choice of datasets, in this case from the built-in p package "datasets".   

    - [ ] Maybe allow the user also choice of the package from where they examine the datasets.

- [ ] Show the user the data features

   - [x] the head of the dataframe

   - [ ] variable types 

   - [ ] range.  

- [ ] Allow the user to create new variables, either from free-text or pre-decided choices of transformation.  

- [x] Allow the user to fit models of different types to the data.  

- [ ] Produce simple figures to visualize the relationships in the data.  

- [ ]  Create a report with the output (shinymeta?).  

- [ ] Save and download the code which creates the report.  

- [ ] Push to shiny.io.