An application for a complete data analytics process. Examine, edit, visualize, and model your data all through an easy-to-use GUI interface.
To see a live demo, head to https://adumit.shinyapps.io/Data_Butler. However, only small to medium datasets can be uploaded to the live demo. In order to upload and process larger and more complex datasets please install on your local machine.
Instruction to install on your local machine:
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Install R and R studio
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Clone repository from GitHub
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Run install.packages() for each library at the top of ui.R and server.R
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Run the following command in R: shiny::runApp('path/to/Data_Butler') or press 'Run App' in R Studio with ui.R or server.R open
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Data Butler should open and you can upload any file size up to 300MB
If you would like to contribute to Data Butler and write your own modules:
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Fork Data Butler and easily live edit your module on your local machine in the server.R and ui.R code
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Once the module is working, move it into a module file and place it in the module directory
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Add the source('Modules/your_module_name') line and the appropriate calls to your module into the server.R and ui.R
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Submit a pull request and it will be included!
Data Butler by Andrew Dumit is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Based on a work at https://github.com/adumit/Data_Butler.
