Blog Archives

NHL Play-by-Play R Shiny App

June 4, 2014
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NHL Play-by-Play R Shiny App

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 App.  That repo is

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Basic overview of the rmongodb package for R

December 2, 2013
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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 to share my notes as

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Mimic Bigger is not Better Post by Scannel & Kurz

September 6, 2013
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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 feel free to clone it if you want to learn R or add

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Basic Proof of Concept: Save an R dataframe as a Tableau Data Extract

July 30, 2013
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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 super fast back-end that makes using

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Cluster NHL Teams Based on 2012/13 Regular Season Performance

June 12, 2013
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Cluster NHL Teams Based on 2012/13 Regular Season Performance

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 a lockout-shortened season, the

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EPS Market Map in R

November 6, 2012
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EPS Market Map in R

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’s Enrollment Planning Service markets.

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Using FAFSA Data to study Competitors – Part 2

October 25, 2012
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Using FAFSA Data to study Competitors – Part 2

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. I consider this the student’s

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Using FAFSA Data to Define Competitor Density

October 18, 2012
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Using FAFSA Data to Define Competitor Density

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 “define” competition. While it’s

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ACT to SAT M+V Concordance Chart in R

January 23, 2012
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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 and merge it onto your existing

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Connect to the Facebook API with R for Windows Users

January 19, 2012
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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 likely you will need to

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