An App for Names
I’m a new dad who was researching baby names and whipped up an app in spare moments over the last year that tells you stuff like this:
It turns out that Ellen is a disproportionately common name for:
Ellens also overwhelmingly lean toward the Democrat party and have tended to be most popular in the northeastern part of the U.S.
You can also see names ranked within professions, e.g., these are the top three names for guitarists:
I have no idea how well Nametrix works on these dimensions. Having seen a lot of bogus names “data,” I am always a bit leery — especially because it is easy to mistake certain naming patterns for destiny while ignoring the more basic indicators like age, income, education, race, etc. I asked Mark how he assembled his data; here’s his reply:
This is all based on proportional frequencies of names in professions, etc. (not just overly simplistic raw counts). I pulled 550,000 people from Wikipedia (all that had parse-able profession data) and 1.3 million people from the FEC’s campaign contribution database. The top profession for a given name is the one in which the name is associated with the highest percentage of people in that profession (subject to some minimums for statistical relevance). It uses the same kind of math for political party, ranked names within professions, and U.S. regional popularity.