The goal is to analyze a data set consisting of New York City Taxi trip reports in the Year 2013. The dataset was released under the FOIL (The Freedom of Information Law) and made public by Chris Whong (https://chriswhong.com/open-data/foil_nyc_taxi/).

Taxi Data set

The data set itself is a simple text file. Each taxi trip report is a different line in the file. Among other things, each trip report includes the starting point, the drop-off point, corresponding timestamps, and information related to the payment. The data are reported by the time that the trip ended, i.e., upon arrive in the order of the drop-off timestamps. The attributes present on each line of the file are in order as it was shown in Table 1. The data files are in comma-separated values (CSV) format.

 Table 1: Taxi data set fields.
 

Obtaining the Dataset

The data set (93 MB compressed, uncompressed 384 MB) is available at the following url on Google Cloud : gs://meetcs777/taxi-data-sorted-small.csv.bz2

 Task 1 : Top-10 Active Taxis (5 points)

Many different taxis have had multiple drivers. Write and execute a Python program that computes the top ten taxis that have had the largest number of drivers. Your output should be a set of (medallion, number of drivers) pairs.

 

Note: You should consider that this is a real world data set that might include wrongly formatted data lines. You should clean up the data before the main processing, a line might not include all of the fields. If a data line is not correctly formatted, you should drop that line and do not consider it.

Report the processing time of the task as well.

 

Task 2 - Top-10 Best Drivers (7 Points)

We would like to figure out who the top 10 best drivers are in terms of their average earned money per minute spent carrying a customer. The total amount field is the total money earned on a trip. In the end, we are interested in computing a set of (driver, money per minute) pairs.

Report the processing time of the task as well.

Task 3 - Best time of the day to Work on Taxi (8 Points)

We would like to know which hour of the day is the best time for drivers that has the highest profit per mile. Consider the surcharge amount in dollars for each taxi ride (without tip amount) and the distance in miles, and sum up the rides for each hour of the day (24 hours) - consider the pickup time for your calculation. The profit ratio is the ration surcharge in dollars divided by the travel distance in miles for each specific time of the day.

Profit Ratio = (Surcharge Amount in US Dollar) / (Travel Distance in miles) We are interested to know the time of the day that has the highest profit ratio.

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Answer rating: 100% (QA)

Solution Here is a Python code for the task of finding the top 10 active taxis Python import csv imp... View the full answer