Use R programing, required data file is attcahed

In late 2013, the taxi company [login to view URL] in Bangalore, India was

facing a problem with the drivers using their platform-not all

drivers were showing up for their scheduled calls. Drivers would

cancel their acceptance of a call, and, if the cancellation did not

occur with adequate notice, the customer would be delayed or even

left high and dry.

Bangalore is a key tech center in India, and technology was

transforming the taxi industry. [login to view URL] featured an online

booking system (though customers could phone in as well) and

presented itself as a taxi booking portal. The Uber ride sharing

service started its Bangalore operations in mid-2014.

[login to view URL] had collected data on its bookings from 2011 to 2013,

and posted a contest on Kaggle, in coordination with the Indian

School of Business, to see what it could learn about the problem of

cab cancellations.

The data presented for this case are a randomly selected subset of

the original data, with 10,000 rows, one row for each booking. There

are 17 input variables, including user (customer) ID, vehicle model,

whether the booking was made online or via a mobile app, type of

travel, type of booking package, geographic information, and the

date and time of the scheduled trip. The target variable of interest

is the binary indicator of whether a ride was canceled. The overall

cancellation rate is between 7% and 8%

Skills: R Programming Language, Google Analytics, Computer Science, Engineering

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About the Employer:
( 584 reviews ) Bangalore, India

Project ID: #23549166

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