FiveThirtyEight has published data on over 4.5 1 thou 1000 Uber pickups inward New York City from Apr to September 2014. The information equally good includes data on 10 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 xv Seconds uses CartoDB's Torque engine to visualize the patterns of pickups yesteryear fourth dimension together with day. The timeline shows the 24-hour interval currently beingness visualized on the map merely non the fourth dimension of day. However yous tin spot a pregnant driblet inward pickups at certainly 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, yesteryear Mapbox's Eric Fischer, shows the geographical distribution of the pickups for the whole half-dozen 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 yesteryear FiveThirtyEight. It volition last interesting to run across what other maps are created amongst this data. For example, I'd similar to run across Eric's map amongst to a greater extent than or less New York demographic information layers. It would last interesting to run across if at that topographic point is whatever correlation betwixt the issue of pickups together with the average income levels inward a neighborhood.
Another interesting visualization would last a comparing of the Uber pickups information amongst the yellowish taxi information for the same half-dozen 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, then it is possible to brand a map amongst both sets of data.
