Programming Question

Description

Introduction

A new taxi company hired an advertising agency to advertise their services on screens at Times Square in New York, NY. The marketing company was tasked to identify the five best screens for their client. In order to reach the maximum number of potential clients for the new taxi company the criterion they decided to use was the average number of taxi pickups in close proximity to an advertising screen.

The marketing company found two public datasets that they are going to use:

1. The list of screens at Times Square: See the attached.

2. Public taxi ridership data (for NYC): https://www.nyc.gov/site/tlc/about/tlc-trip-record…

Large datasets like this one are usually consist of a) data dictionary, a table that lists all the fields in the dataset; b) and the actual dataset in a variety of formats (Excel compatible comma separated values (.cvs), XML or JSON).

Large datasets like this one usually consist of a) data dictionary, a table that lists all the fields in the dataset; b) and the actual dataset in a variety of formats (Excel compatible comma-separated values (.cvs), XML or JSON).

Explanation & Answer:

3 pages

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