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Analysis of Freight Big Data using R-Language

화물 배차 빅데이터 분석

  • Selvaraj, Suganya (Department of Financial Information Security, Kookmin University) ;
  • Choi, Eunmi (Department of Financial Information Security, Kookmin University)
  • Published : 2018.05.11

Abstract

Data analysis is a process of generating useful information by evaluating real-world raw data for making better decisions in business development. In the freight transport logistics companies, the analysis of freight data is increasingly garnering considerable importance among the users for making better decisions regarding freight cost reductions. Consequently, in this study, we used R programming language to analyze the freight data that are collected from freight transport logistics company. Usually, the freight rate varies based on chosen day of the week. In here, we analyzed and visualized the results such as frequency of cost vs days, frequency of requested goods in ton vs days, frequency of order vs days, and frequency of order status vs days for the last one-year freight data. These analysis results are beneficial in the viewpoint of the users in ordering process.

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