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An end-to-end data science workflow project predicting ferry delays.

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Based on the project work from the posit::conf(2024) workshop Data Science Workflows with Posit Tools - R Focus.

This project demonstrates end-to-end data science workflows with an example project of predicting ferry delays.

The project includes:

  • 01 - Ingestion of raw data from an API source
  • 02 - Ad hoc data exploration using pointblank
  • 03 - Data validation using pointblank and conditional email alerting using Quarto
  • 04 - Model development and deployment using vetiver, plumber, and pins
  • 05 - Delivering insights using an interactive Shiny app
  • 06 - Employing the connectapi Posit SDK to monitor content usage

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An end-to-end data science workflow project predicting ferry delays.

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