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: R
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 →