Publications by btibert3
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 Blackhawks started off by ...
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Basic Proof of Concept: Save an R dataframe as a Tableau Data Extract
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 Tableau on large data-sets a breeze. With that said, it w...
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Mimic Bigger is not Better Post by Scannel & Kurz
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 to this idea. Happy Cod...
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Basic overview of the rmongodb package for R
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 I walked through the various tasks that I would need for my projects. The...
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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 here. In both cases, the codebase has a lot of room to improve. �...
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