I wanted to write a quick post to introduce two repos that I created on Github that center on the NHL’s play-by-play data. 1.  My code repo that highlights how I crawl and store the raw JSON datasets can be found here 2.  I also created a very simple R Shiny ... [Read more...]

I have been playing around with MongoDB quite a bit over the last few months.  Because I am much better at coding in R, I decided to write up my notes on how to use the rmongodb package. This is not a comprehensive tutorial by any stretch, but I wanted ... [Read more...]

The following Github repo has the R code I put together that allows us to follow along and modify the great idea from Scannel & Kurz on app growth and it’s impact on yield. https://github.com/Btibert3/sk-delta-apps-yield/blob/master/README.md Take a look at the repo and ... [Read more...]

I love Tableau, as it is a huge part of my data workflow. Not only is it super easy to slice and dice data, but the company recently released an API for developers.  In short, we can use a few languages (python and C++/Java) to build Data Extracts, the ... [Read more...]

Since tonight kicks off Game 1 of the Stanley Cup Finals, I thought it would be fun to do a very quick and dirty cluster analysis of the league based on regular season performance. Tonight, the Chicago Blackhawks square off against my hometown team, the Boston Bruins.  Even though it was ... [Read more...]

There are a few minor tweaks renaming on this map before it is complete, but I wanted to share the EPS Market Map I put together.  It can be downloaded using this link. This file is meant to be used with R and divides the lower 48 states into the CollegeBoard’... [Read more...]

I wanted to build upon my previous post and dive a little deeper into the sorts of questions we can answer using the FAFSA data supplied to us by applicants. As a quick overview, students completing the FAFSA for student aid can list up to ten institutions on the form. ... [Read more...]

I have been thinking a lot about how to define and discuss competition at the undergraduate level.   I will save the chat on which dataset is better (ASQ, Student Clearinghouse, social media, etc.) for another day. One common question I get as an analyst in Enrollment Management is how to “... [Read more...]

For those of who work in Enrollment Management and routinely analyze higher ed data, I wanted to share an easy way to convert ACT to equivalent SAT M+V scores in R. I am dynamically building a dataset that uses the concordance chart located here. Simply, use this data frame ... [Read more...]

Recently there have been some great posts that highlight how easy it is to hook into the Facebook Graph API using R. Crawling Facebook with R started the discussion and Apply R highlighted how easy it was to plot our network. In order to replicate the examples on Windows, most ... [Read more...]

As you can tell from the content on this blog, I am a really big fan of statistical analysis and the NHL.  I haven’t blogged in some time simply because I have been deeply engrossed by the 2011 playoffs, where … Continue reading → [Read more...]

A ways back I put up a post that uses R to plot the scoring trends of an NHL player. Given the recent chatter on sports talk radio around Boston, I used my script to plot the data for Michael … Continue reading → [Read more...]

Last week Jack Edwards raised the fact that Milan Lucic was the first Bruin player to join the 30 Goal / 100 Penalty Minute club in a few years.  It got me thinking about the other players who have accomplished … Continue reading → [Read more...]

I am a big Boston Bruins fan and have enjoyed the ups and downs over the last few years, regardless of the catastrophes that have occurred during the playoffs.  The team struggled a few weeks ago, but have recently seemed … Continue reading → [Read more...]

One of the best ways to learn how to code in R is to view sample scripts that people share. I recently came across this post where Michael uses R to scrape twitter and collect all sorts of great data … Continue reading → [Read more...]