Hmmm...why do I get the funny feeling that if I enrolled in your Data Science Camp, I might end up best qualified for internship at 2005 Lehman Brothers?bigato wrote:7w5: I'd call your categories Social, Learning and Housing. Considering a 800/month average, discarding the outlier here, we could reconstruct your expenses this month approximately like this:
1) Social (83.7%), 2) Learning (5.3%), 3) Housing (2.7%), 4) Other (16.3%) (other being 800-174-89=537). Total 3300, which by chance is a nice round number thus making me positive that it can't possibly be wrong (and there you have your data science lesson for today).
Your top 3 represent 91.7% of all expenses for the month, and the fact that Social is over 80% is so representative of you
Anyways, here's a link to a post when I was doing a much better job of categorizing and tracking expenses. I even performed a silly data science experiment on my web of goals!
Anyways, I was thinking that somebody (maybe me) should do some k-means cluster analysis on forum member data, so that we will all know what lunch table we should sit at during imaginary future whole forum meet-up encampment event. Of course, Jacob could also make use of this information in order to better target his future marketing efforts.