Using ggmap to visualize fraud trends In Part I of this series I showed how to get the data used in this portion. Let’s start by loading that data into R so we can map it. df <- read.csv(file = choose.files(), header = TRUE) Your data is stored in an R dataframe named df. Next we’ll get David Kahle and… Read more →
Category: Future Studies…
Visualizing Geographic Trends in Identity Theft: Python, R, and ggmap (Part I)
One of the things I like the most about graduate school this semester is that I have a dedicated 3 credits to work on a thesis. The thesis part is a tad daunting, but the credits mean that I have time to work on a research project of my choosing. At this point I’m still in the exploratory phase which… Read more →
Time is a Flat Football: Michigan Wide Receivers 2015
“Time is a Flat Football” is a series of posts which will explore players from Michigan football history members of the 2015 team resembles the most. Tackled in these posts will be the offensive “skill” position groups: Quarterbacks, Running Backs, and Receivers/Tight Ends. My apologies go out to the offensive line, but it’s very difficult to get o-line statistics, and… Read more →
Time is a Flat Football: Michigan Running Backs 2015
“Time is a Flat Football” is a series of posts which will explore players from Michigan football history members of the 2015 team resembles the most. Tackled in these posts will be the offensive “skill” position groups: Quarterbacks, Running Backs, and Receivers/Tight Ends. My apologies go out to the offensive line, but it’s very difficult to get o-line statistics, and… Read more →
Finding Favorite Directors, Writers, and Actors with Pandas and Python
Since early 2011 I have been using the website Jinni.com to get recommendations on movies and TV shows. Through rating movies on a 1-10 scale, Jinni built an impressive personal taste profile based on a huge variety of factors. It’s been a valuable tool in helping me discover movies I had never even heard of before. This was all great, except… Read more →
Time is a Flat Football: Michigan Quarterbacks 2015
“Time is a Flat Football” is a series of posts which will explore players from Michigan football history members of the 2015 team resembles the most. Tackled in these posts will be the offensive “skill” position groups: Quarterbacks, Running Backs, and Receivers/Tight Ends. My apologies go out to the offensive line, but it’s very difficult to get o-line statistics, and… Read more →