Categorical data analysis is highly relevant and in demand, as it allows for the identification of patterns, relationships, and associations between qualitative variables. The integration of Shiny applications into statistical analysis has proven to be a powerful tool, facilitating learning and practice. Therefore, an app has been developed using Shiny in R software, addressing statistical topics such as simple and multiple correspondence factor analysis. This tool presents an accessible, dynamic, intuitive, and versatile interface that allows interaction with the information through various panels, buttons, and selectors. The application offers the ability to upload individual data, allowing users to perform their own analyses. Each section includes theoretical elements to contextualize the user; automated components that generate tables, graphs, and valuable results, facilitating the exploration of categorical data and the extraction of relevant knowledge for various studies.

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ShinyCFA as a Tool for Understanding the Wonderful World of Categorical Data

  • Luis Gabriel Osorno-Muñoz,
  • Yamid Urrego-Galvis,
  • Raúl Alberto Pérez-Agamez

摘要

Categorical data analysis is highly relevant and in demand, as it allows for the identification of patterns, relationships, and associations between qualitative variables. The integration of Shiny applications into statistical analysis has proven to be a powerful tool, facilitating learning and practice. Therefore, an app has been developed using Shiny in R software, addressing statistical topics such as simple and multiple correspondence factor analysis. This tool presents an accessible, dynamic, intuitive, and versatile interface that allows interaction with the information through various panels, buttons, and selectors. The application offers the ability to upload individual data, allowing users to perform their own analyses. Each section includes theoretical elements to contextualize the user; automated components that generate tables, graphs, and valuable results, facilitating the exploration of categorical data and the extraction of relevant knowledge for various studies.