New Mapping Uber Inwards Novel York


FiveThirtyEight has published data on over 4.5 1000000 Uber pickups inward New York City from Apr to September 2014. The information every bit good includes data on x other for-hire vehicle companies.
Bill Morris has used the information to practise an animated map of Uber pickups for the calendar week starting fourth dimension Apr 1st 2014. One calendar week of Uber Pickups inward fifteen Seconds uses CartoDB's Torque engine to visualize the patterns of pickups past times fourth dimension together with day. The timeline shows the hateful solar daytime currently beingness visualized on the map exactly non the fourth dimension of day. However you lot tin dismiss spot a meaning driblet inward pickups at sure enough times every day. My gauge is that this drop-off inward pickups is during the real early on hours of each morning.


Bill's map shows the temporal patterns inward Uber pick-ups inward New York City. Another map, past times Mapbox's Eric Fischer, shows the geographical distribution of the pickups for the whole 6 months worth of data. Uber NYC Pickups, Apr-Sep 2014 provides a point density persuasion of all Uber pickups across the city.

Both maps are swell initial visualizations of the information obtained past times FiveThirtyEight. It volition locomote interesting to meet what other maps are created alongside this data. For example, I'd similar to meet Eric's map alongside about New York demographic information layers. It would locomote interesting to meet if at that spot is whatever correlation betwixt the issue of pickups together with the average income levels inward a neighborhood.

Another interesting visualization would locomote a comparing of the Uber pickups information alongside the yellowish taxi information for the same 6 months. The NYC Taxi & Limousine Commission has released the data for all completed yellowish taxi together with greenish cab trips betwixt Jan 1, 2014 together with June 30, 2015, together with then it is possible to brand a map alongside both sets of data.
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