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
Projects by FlowingData See All →
Data Underload #6 – Bed Head
Your hair distribution in the morning, based on how you slept the previous night.
How Much Minimum Wage Changed in Each State
Minimum wage has increased over the years, but by how much depends on where you live.
Fast Food Menu of Calories
How does the distribution of calories vary by fast food restaurant? Here’s a chart that shows all the menu items for ten of the biggest national fast food chains.