While looking for city data to keep up with my data analysis and visualization skills I found a disturbing data set.
The Minneapolis Police Department uses automatic license plate recognition to help aid in solving crimes in real-time. They also maintain this data about innocent citizens for months after it was collected. These data were obtained legally, via the Minnesota Government Data Practices Act. They have been pre-processed and deidentified. This file contains over 800k plate readings. – github.com/johnschrom/Minneapolis-ALPR-Data
I decided to check it out, and see what a limited exploratory analysis could determine from the top 20 license plate hits, I will start with the biggest issue (in my opinion),
Determine When a Person is Home
Here is a map of the top 20 license plates and the data points for when the police scanner ran their plate.
Now if we look at a time where people are most likely at work (say 11am) we can grab the hashes of the license plates that work at specific locations.
You can see above that the purple person is almost always SE of the cities, The lat/long is 44.935696,-93.38466 which corresponds to the Home Choice Parking lot in Hopkins, MN. Where will they be 12 hours from then?
Above you can see they pretty much always return to Dinkytown, Minneapolis. Using this method you could potentially
- Determine whether or not a person is likely to be home at a certain time
- Determine where someone likely lives
- Determine where someone likely works
- Determine if your employee took their car out when they called in sick (two data points already known)
- Determine what someone is up to on their time off (if work and home locations known)
Obviously with more data points the more reliable the data becomes, and this was only run for a few months with much of the data tagged with a 0/0 for longitude and latitude.
Using Police Data to Track Targeted Neighborhoods
Using the same data it is also possible to track which neighborhoods are targeted by these scans