What are my other choices for a vectorized statistics language. Professor was pushing SAS Jump (or was that SPSS) with a menu-driven point and click approach. (Reproducibility can still be accomplished, you publish the script generated by all your clicks.) But I want to type everything, great online tutorials for R. I think I made the right pick.

All of our Javascript code is first written in CoffeeScript for ease of reading / writing. It is compiled to Javascript before being minified and served to the client.

All front-end / back-end is driven by Coffeescript. For the main ReactJS functionality JSX is embedded with coffee in .cjsx files / handled by Browserify.

We like CoffeeScript because it's more readable, we use it because we have a lot of libraries and functions already (plays nicely with Rails, too)

Connect to database, data analytics, draw diagram. Machine Learning application, and also used Spark-R for big data processing.

Visualisation of air quality in various rooms by RShiny (hosted free on shinyapps.io)

All our code is CoffeeScript, blending seemlessly in our JS stack

Javascript is a hell. We use coffeescript for its readability.

R is primarily used by SESYNC's researchers

Offline deep analytics and modeling