Use R to Model Enrollment Yield

This repo contains the code to replicate the Scannel and Kurz Post on why huge swings in app growth might not always be good for Enrollment Managers. One important note. I have no affiliation with S&K. I simply wanted to build upon a common idea and produce code so others can run and build upon this very important concept in Enrollment Management. About I have been collecting and analyzing data along the lines of the S&K and post for a while now, but they beat me to the punch and did a great job highlighting an important point.

Playing Around with the Prismatic Topic Graph API using R

The Prismatic Team has slowly been rolling out a very cool API. You can read all about it here. At the same time, I have been using this as an opportunity to learn how to create an R package. After today’s API update to identify the relevant content related to a specific topic, I wanted to highlight what is possible with a few lines of code using the prismaticR package.

Mission Statement Topics

TL:DR Below I use Prismatic’s API to tag the mission statements of approximately 500 colleges in the U.S. in order to evaluate the “focus” of each, which I define as the topics extracted from the API. In addition, I also consider the competitive nature of various schools, commonly referred to as the “Competitor Set”. Out of the gate, I considered more than 1,000 schools for this study. In the end, I only kept institutions with clean data, that is, no missing information across all of the data I collected.

Predict Competition of Undergraduate Institutions using Neo4j

Intro The use of graphs to solve business problems is not new, as companies like Amazon, Netflix, and nearly all major social media sites have been doing this for some time. I have been obsessed with graphs for just as long, and after learning as much as I can about analysis of graphs and graph databases, I am finally getting the time to take what I have learned and apply it to real world data problems I face within Enrollment Management.