R

I have been diving back into python a bit lately, and admittedly, I have yet to find a tool that fits my workflow similar to that of R and Rstudio.

Many moons ago, I wrote some code to build a Tableau Data Extract from the work that I had munged together in python. I figured it was time to update the code since I recently discovered that the Tableau API has changed.

I have been watching the DiagrammeR package for a while now, and at this stage, it’s pretty impressive. I encourage you to take a look at what is possible, but be assured the framework is there to do some really awesome things.

I have been playing with Neo4j quite a bit, mostly for fun as I learn how I figure out when and where I could apply it to solve various analytics problems.

This repo contains my first-ever R Shiny project. It’s simple, and represents a minimally viable app. It’s super basic, but the app allows us to query and visualize the NHL’s Play-by-play event logs for a given game.

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.

We were talking about admit rates at work, and as luck would have it, I saw the tweet below coming out of the Eduventures conference basically the same day. More than 70% of American colleges accept everyone who applies.

As of late, there has been a surge in conversation around the topic of the college-going population here in the United States. One one hand, we have long talked about the “The Perfect Storm” of demographics.

Reaction: Netflix-like Recommendations for College Earlier today I saw the following post: Could a Netflix-like algorithm be the key to matching students to the right college? http://t.co/6oPgM62zA9 #HigherEdData #collegeaccess — Chronicle Data (@chrondata) January 23, 2014

rmongodb Tutorial This is a quick document aimed at highlighting the basics of what you might want to do using MongoDB and R. I am coming at this, almost completely, from a SQL mindset.