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  1. Code and tutorials to visualise your data that is both beautiful *and* statistically valid - RainCloudPlots/RainCloudPlots.

  2. 6 de jun. de 2021 · In this tutorial, I highlight the potential problem of box plots, illustrate why raincloud plots are great, and show numerous ways how to create such hybrid charts in R with {ggplot2}. Visualizing Distributions with Raincloud Plots (and How to Create Them with ggplot2) - Cédric Scherer

  3. 27 de ene. de 2024 · El Raincloud Plot, aunque una herramienta innovadora y poderosa en educación, presenta tanto ventajas como desafíos. Ofrece una visión rica y matizada de los datos, combinando representaciones visuales detalladas con análisis estadísticos para comprender la complejidad de los entornos educativos.

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  5. 1 de abr. de 2019 · In this tutorial paper, we provide basic demonstrations of the strength of raincloud plots and similar approaches, outline potential modifications for their optimal use, and provide open-source code for their streamlined implementation in R, Python and Matlab ( https://github.com/RainCloudPlots/RainCloudPlots ).

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  6. 5 de oct. de 2021 · October 05 - 2021. The latest release of JASP offers a new feature for data visualization: Raincloud plots. Invented and promoted by Micah Allen and colleagues ( Allen et al., 2021 ), the raincloud plot combines a cloud of points with a box plot and a one-sided violin plot.

  7. 5 de dic. de 2022 · What are Raincloud plots? Raincloud plots are a more robust and intuitive form of data visualization.

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