Watching Bigfoot researchers chasing — sometimes quite literally — circumstantial evidence, noises, and half-glimpsed shadows through the forest at night certainly makes for some great TV.
I love killing time with a bit of TV, and a show called “Expedition Bigfoot” has kept me entertained on many a lunch break. However, this show isn’t the run-of the-mill cryptid documentary as it claims to use a “data algorithm” to first identify a target search zone before sending in human researchers to track down the hairy subject.
Obviously my ears pick up when I hear something like this, and short of packing an overnight bag, I start to wonder what I can do to help the search. So here we go, “helping”!
While this is going to be quite a lighthearted article, I’m going to take a look at some data, covering:
- Exploratory data analysis (EDA) with Pandas Profiling
- Exploratory data analysis the old-fashioned way
- Clustering with OPTICS
The data
The data comes from Timothy Renner¹, who in turn sourced the observations from the Bigfoot Field Researchers Organization².