Spotfire is a great tool that lets you run asynchronous R code right next to your data and visualizations. This makes for what I like to call the Data Science Trifecta. There’s lots of applications out there that provide the Data Science Trifecta – data, visualizations, and computation – and I prefer Spotfire’s relational data model, snappy visualizations, and embedded R engine. So let’s talk about reusing predictive models in this Trifecta. If you’re eager to try it out, you can grab the template off of Exchange.ai.
This is a repost from our Ruths.ai channel on YouTube.
“In this demonstration we apply a geospatial R package to Spotfire (via TERR) to provide “planes” or “boundaries” across an oil field. The oil field is Teapot dome (open data source) and the R package is deldir. We have applied this technique to fields such as Eagleford or Cooper Basin and the technique can be augmented with further statistical methods such as kriging to gain further understanding into areal (i.e. well) performance or behavior.”