Bike Predict - App - Connect Widgets

Bike Share

End-to-End Data Science with RStudio Connect

Background

This project illustrates using RStudio Connect to deploy a data science project featuring:

Scheduled jobs

Fetching and cleaning data from a continuously updating web source
Pushing cleaned data to a relational database
Creating intermediate datasets for subsequent use

Pins

Serving intermediate datasets and model objects for use in apps, APIs, and other jobs

APIs / Vetiver

Serving model predictions via HTTP requests deployed using vetiver

Development and Production Apps

Exposing model predictions to end-users through Shiny and Dash apps
Using git-backed deployment to keep a stable version of the application available from the main branch while doing development work on another branch

Private Packages

Encapsulate re-usable logic in an R package, and distribute with Package Manager (see https://github.com/sol-eng/bikeHelpR)

Content

Explore the deployed items below:

Scheduled Jobs

Pins

APIs

Apps