Category: R

Visualizing Geographic Trends in Identity Theft: Python, R, and ggmap (Part II)

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.

Your data is stored in an R dataframe named df. Next we’ll get David Kahle and Hadley Wickham’s ggmap, an offshoot of… Read more →