Revista Docencia Universitaria

2022: 6th Successful Experiences in the Implementation of ICT in Teaching
Memory

Data analysis using the R programming: a virtual learning experience in the flipped classroom

PDF (Español (España))
  • Björn Reu,
  • Yovanny Duran Barajas,
  • Zarith Tatiana Villamizar Gómez,
  • Silvia Fernanda Ardila Hurtado,
  • Juan Camilo Remolina Ayala,
  • Sergio Andrés Bolívar Santamaría
DOI: https://doi.org/10.18273/revdu.vesp1-2022004

Published 2022-09-26

Keywords

  • Data analysis,
  • statistics,
  • biodiversity,
  • Rstudio

How to Cite

Reu, B., Duran Barajas, Y., Villamizar Gómez, Z. T., Ardila Hurtado, S. F., Remolina Ayala, J. C., & Bolívar Santamaría, S. A. (2022). Data analysis using the R programming: a virtual learning experience in the flipped classroom. Revista Docencia Universitaria, 7–8. https://doi.org/10.18273/revdu.vesp1-2022004

Copyright (c) 2022 Revista Docencia Universitaria

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

In recent years, R has become an indispensable tool for data analysis in many areas of basic and applied science and industry. Instead of learning multiple tools, students can use a single environment for a wide range of data analysis methods. More than a programming language, R offers new avenues for teaching statistics, because data analysis problems can be developed step-by-step and analyzed in a transparent and reproducible way, e.g. using R Markdown. This allows interactive and problem-oriented learning, combining theory and practice.

PDF (Español (España))

Downloads

Download data is not yet available.