Pokemon is everywhere these days. I think it’s just something the world really needs right now. I know very little about the universe, but I do like it when people analyze fictional worlds and characters. Joshua Kunst grabbed a data dump about all the Pokemon (seriously, I don’t even know if I’m referring to them/it/thing correctly) and clustered them algorithmically. The t-Distributed Stochastic Neighbor Embedding (t-SNE) algorithm to be specific.
Charting all the Pokemon
Divorce and Occupation
Some jobs tend towards higher divorce rates. Some towards lower. Salary also probably plays a role.
Interactive: When Do Americans Leave For Work?
We don’t all start our work days at the same time, despite what morning rush hour might have you think.
Shifting Incomes for American Jobs
For various occupations, the difference between the person who makes the most and the one who makes the least can be significant.