Bitcoin Demo

scheduled ETL
shiny
database
website
plumber

These files demonstrate how to use R in a production environment.

Project workflow diagram showing an R script pulling from a database, which then updates a Shiny app, R Markdown, and a Plumber API.

Files

  1. ETL [login]. Extract, transform, and load bitcoin data from a web API into the PostgreSQL database.

  2. App [login]. Build a Shiny app that depends on the database.

  3. Website [login]. Embed the Shiny app into a website.

  4. Report [login]. Render and email custom reports on demand and on a schedule.

  5. API [login]. Create an API for other systems to call.

Content generated

  1. Shiny. Host a shiny app that can scale to thousands of end users.

  2. R Markdown. Create a report that can handle end user inputs.

  3. Plumber API. Host a scalable API with multiple endpoints and serializers.

Integration points

  1. Web server. Embed Shiny applications with an iframe tag.
  2. Email. Send reports via email.
  3. API call. Call a REST API from the browser.
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