Data analysis on UBER's data of ride calls from travellers

I used simple python functions to get really facinating results from the data. After analysing the data we got the following output results.

• Generated the map of the place where data belongs to.
• Generated heatmap of the user requesting for rides over the week.
• Generated the hourly, day wise, weekly and monthly plots of user requests.
• Although it was not told in the data that to what place the data belongs to, but still I was able to get the location of the place where data belongs, it was Manhattan