uber-tlc-foil-response

Relevant additional context: the Uber data was released to the public after FiveThirtyEight filed a FOIA request to the NYC TLC after they got the data: https://github.com/fivethirtyeight/uber-tlc-foil-response Additionally, the data is anonymized; the original taxi dataset mentioned in the article had poorly-hashed Taxi ID numbers which is how privacy was compromised. Subsequent TLC datasets lacked that field completely.

My dataset does not include livery cabs FiveThirtyEight has some additional for-hire vehicle data in their GitHub which they obtained via FOIL request: https://github.com/fivethirtyeight/uber-tlc-foil-response/tr... Intuitively, I would think livery cabs have lost significant market share to Uber, but I don't actually know

The most awesome part is they put the data, and some of the Freedom of Information correspondence that led to them getting this data on github: https://github.com/fivethirtyeight/uber-tlc-foil-response

What do you like to do? Generally "hacking" on projects is easier when you're hacking on something you like. If you have nothing in particular you want to do, maybe you can hack on some open source projects? If you've literally just downloaded python and downloaded/opened IDLE, then maybe you should learn some python: I've found this guide to be very useful: http://www.swaroopch.com/notes/python/ An interesting thing you could probably do with not-too-much python is some light data analysis. Download an interesting data dump from somewhere, and see if you can use python to parse through the data and find anything interesting. Free Forex Historical Data (an old link I had saved, not sure if it will be any good): http://www.histdata.com/ Uber pickup data from NYC: https://github.com/fivethirtyeight/uber-tlc-foil-response Maybe even find som