Famous people on countries' street names
What is this
The most famous persons in every country's history, be them
scientists, heroes, poets or politicians are usually given an
eternal place of honor on street signs. That is, by naming
streets in the recognition of their deeds. So I've taken each
country from every continent and found out all such names and
arranged them from the most frequent to the less known faces.
Why did you do it
Well, why not? Seriously now, this is a great way to discover
world history. Or purely for curiosity's sake. Given that each
entry links to their respective wikipedia article, with plenty of
links to empires of the past, literature genres, regions of the
world and what not, there is plenty of material for the
adventurous minds out there. Hint: scroll down to the end of the
country's page for the less frequent street names
(alternatively, use the reverse button).
How did you do it
All the data is taken from
openstreetmap. They
are not my invention. If the data speaks of evil, don't shoot
the messenger! What
I did was take all this info from
openstreetmap, clean it up, find out what entries are really
street names, extract those, clean up the duplicates, merge
similar naming streets into one, sum them all up and find a
wikipedia article for each person with a relevant summary and a
nice picture. The orange number to the right of each name is
that sum from above, the total number of cities where that name
appears at least on one street.
I've also included names of novels ("Bolek and Lolek"), hereditary titles, fictional
characters and the like to make things more interesting.
As an extra fun piece of data, I was wondering what does each
country appreciate the most. That is, a hero, a poet or a
politician? With the filter button you can see all the poets of
the past for that country, for exemple. One caveat: while some
AI would have worked great here to extract a list of what each
person does, I've instead extracted the keywords from the
wikipedia summary page. But that extracts garbage, too, so the
filtering is not 100% accurate. It will get better with time, I
promise, once I'll add more and more keywords the old-school way,
by hand.
Limitations
Sure, this is not a scientific paper, but a project to scratch
some personal itch. At such, I'm not claiming it is 100%
accurate. There are not only street names in there since, by the way
openstreetmap users tag stuff, it is impossible (programatically speaking) to distinguish
between a street, a bridge, a school, a square or any other such
landmarks. If it has a human name attach to it, I'll swallow it
up. Adding to this pain, the Asian countries are the least known to
me so for that region I have gathered the least amount of data. It
doesn't mean it's not there it's just harder for me to distinquish
between names.
For the technical details, see the project's
github page.