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  • 标题:Selection of Statistical Software for Solving Big Data Problems
  • 本地全文:下载
  • 作者:Ceyhun Ozgur ; Michelle Kleckner ; Yang Li
  • 期刊名称:SAGE Open
  • 印刷版ISSN:2158-2440
  • 电子版ISSN:2158-2440
  • 出版年度:2015
  • 卷号:5
  • 期号:2
  • DOI:10.1177/2158244015584379
  • 语种:English
  • 出版社:SAGE Publications
  • 摘要:The need for analysts with expertise in big data software is becoming more apparent in today’s society. Unfortunately, the demand for these analysts far exceeds the number available. A potential way to combat this shortage is to identify the software taught in colleges or universities. This article will examine four data analysis software—Excel add-ins, SPSS, SAS, and R—and we will outline the cost, training, and statistical methods/tests/uses for each of these software. It will further explain implications for universities and future students.
  • 关键词:big data; Excel; Minitab; R; SAS; SPSS; statistical software
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