The shinymaterial app built using Eric Andersen’s shinymaterial package is an example of one of the Predictive Churn Analytics projects at work. This is a fantastic package(Thank you Eric) that enables shiny developers like me implement Material Design using R code; more about it here.
With the help of 2 R-Ninja Eighth Graders, Tara and Ben who have been R-ing since they were 5th graders, I recently taught Coding in R: Information Visualized class (Feb 23rd - March 2019) to Middle Graders (Grades 6-8) for Saturday Academy, a non-profit organisation. We donated all proceeds from teaching the class to Family Dog Shelter, Portland, OR and Oregon Humane Society, Portland, OR, and we will continue to R for Paws by donating all proceeds from teaching R to animal shelters.
This is Part 1 of a 3 Part series of predicting Customer Churn. Part 1 focuses on feature engineering, with the objective of deriving features that best represent drivers of churn.