Vehicle Sales Data Inspection

  • Robert Scollon
  • Anthony Kniazewycz
  • Amber Patterson

Abstract

Urban Science, our client company, seeks a process to analyze automotive sales data as it is received, prior to being used in a project, and to detect data issues so that a mitigation plan can be implemented earlier in the project. The purpose of this project is to use data analytics in the language R to discover falsehoods, mistakes, and missing data in a sample set comprised of vehicle sales for the company. We will also create a set of metadata that will help identify any serious shortcomings before Urban Science does primary analysis of the data.

Published
2018-05-07
Section
Computer Science