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 →