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Muchas revistas desalientan los gráficos de barras para datos continuos, sin embargo, casi la mitad de los estudios aún los usan. Esta guía ofrece mejores técnicas de visualización de datos para una comunicación científica más clara.

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Área de la Ciencia:

  • La visualización médica
  • Comunicación Científica
  • Presentación de los datos

Sus antecedentes:

  • Las revistas recomiendan cada vez más contra los gráficos de barras para datos continuos debido a problemas de visualización.
  • Las políticas existentes ofrecen orientaciones limitadas sobre alternativas efectivas de visualización de datos.
  • Las prácticas de visualización de datos subóptimos siguen siendo frecuentes en la literatura científica.

Objetivo del estudio:

  • Revisar sistemáticamente las prácticas de visualización de datos en revistas de enfermedades vasculares periféricas.
  • Evaluar la prevalencia del uso de gráficos de barras para datos continuos.
  • Proporcionar orientación sobre la selección y la creación de gráficos de datos efectivos.

Principales métodos:

  • Revisión sistemática de las cifras en las principales revistas de enfermedades vasculares periféricas.
  • Análisis de los tipos de figuras utilizados para la presentación de datos continuos.
  • Identificación de los problemas comunes de visualización de datos.

Principales resultados:

  • Los gráficos de barras se utilizaron para presentar datos continuos en el 47,7% de los documentos con cifras de datos.
  • Se evaluó la prevalencia de prácticas de visualización de datos subóptimas.
  • Se identificaron problemas comunes más allá del uso de gráficos de barras.

Conclusiones:

  • Es necesario mejorar la orientación sobre la visualización de datos en las publicaciones científicas.
  • Se deben promover alternativas efectivas a los gráficos de barras, como los gráficos de puntos, los gráficos de cajas y los gráficos de violines.
  • Los autores requieren recursos y estrategias para crear cifras científicas más informativas y precisas.