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 Hadley Wickham’s ggmap, an offshoot of… Read more →
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 →
When the calendar rolls around to late April I start to get that good old fashioned knot in my stomach that tells me Mother’s Day is right around the corner. I’ve never been great at coming up with good gift ideas for anyone, and even less so for my mom. My brother and I were talking and we… Read more →
Since diving back into Python some time ago, I’ve been coming up with scripts to make my life easier. One of my first creations is this very short and easy script which clears out my “Downloads” folder every evening at 7 PM. Here I’ll run through this simple five line script and explain it. Let’s get started! If you’re anything like… Read more →