Mario

What it is:

• A REST API built using Plumber in R
• Allows for the full statistical power of R to be used with any platform
• Backend service used to process data for any of my work
• Can push static data to an S3 bucket which is then fetched by frontend app
• Can recieve requests from frontend app and return results more interactively

What I did:

• Built a mounted router to split the API into multiple files that serve as endpoints
• Converted existing analyses to APIs using Plumber's syntax
• Set up an S3 bucket to host data written out from the API
• Dockerized the API so it can be hosted on any cloud platform
• Hosted the Docker container on Heroku
• Set up a CI/CD pipeline through Travis so changes are re-deployed automatically

What I learned:

• Backend Webdev
• API design
• Plumber
• OpenAPI/Swagger
• Cloud Data Storage
• AWS S3

Why it interests me:

• I find myself pulled between the interactivity of the web and the analytical capabilities of R
• Plumber is a crucial part of R's integration with the modern web
• Exploring the boundaries of both webdev and data science requires platform-agnostic tools