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This paper analyses various tools that are appropriate as teaching resources for data science or engineering at undergraduate or postgraduate levels. A comparison is performed between fsQCA, the online EDA (Exploratory Data Analysis) module within Nets4Learning and Minitab. We describe the functionalities of those frameworks and also the installation and running procedure. A visual tour is provided to showcase the main available tasks in these tools and to encourage other researchers or lecturers to introduce them in laboratory classes or as a complement for any theoretical lesson.

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GUI-Based Tools to Lecture Data Analytics: An Exploratory Data Analysis Scenario

  • 会议论文

  • 发表日期：

    2026年

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  • Kelsy Cabello-Solorzano,
  • Alejandro Bautista-Juárez,
  • Luís Correia,
  • Sung-Bae Cho,
  • Antonio J. Tallón-Ballesteros

摘要

This paper analyses various tools that are appropriate as teaching resources for data science or engineering at undergraduate or postgraduate levels. A comparison is performed between fsQCA, the online EDA (Exploratory Data Analysis) module within Nets4Learning and Minitab. We describe the functionalities of those frameworks and also the installation and running procedure. A visual tour is provided to showcase the main available tasks in these tools and to encourage other researchers or lecturers to introduce them in laboratory classes or as a complement for any theoretical lesson.