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It should look almost like a traditional IDE, with the File System on the left, the editor in the middle, and the preview on the right
Use an R language server on the backend and connect it with websockets
Build the graphs as images
We can look into streaming plotly interactive graphs later
Endpoint to supply csv with same schema to the R compiler to render a new graph
Problem Statement
Removes the need to create complex google sheets, instead interface with the data through R. We can have these graphs be shared publicly, allowing other teams to visualize other teams' data.
Additional Context
Implementation
Separate backend that interacts with the file system
This hosts the language server
Acts as the router for the file system (database persistence)
Summary
Problem Statement
Removes the need to create complex google sheets, instead interface with the data through R. We can have these graphs be shared publicly, allowing other teams to visualize other teams' data.
Additional Context
Implementation