Sina plot

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Short description: Type of diagram
A violin plot (on the left) and a sina plot (on the right) for the same sample.

A sina plot is a type of diagram in which numerical data are depicted by points distributed in such a way that the width of the point distribution is proportional to the kernel density.[1][2] Sina plots are similar to violin plots, but while violin plots depict kernel density, sina plots depict the points themselves. In some situations, sina plots may be preferable to violin plots, because sina plots contain more information.[3][4]

There are a number of ways to create sina plots, in particular:

See also

References

  1. ↑ Sidiropoulos, Nikos; Sohi, Sina Hadi; Pedersen, Thomas Lin; Porse, Bo Torben; Winther, Ole; Rapin, Nicolas; Bagger, Frederik Otzen (2018-07-03). "SinaPlot: An Enhanced Chart for Simple and Truthful Representation of Single Observations Over Multiple Classes" (in en). Journal of Computational and Graphical Statistics 27 (3): 673–676. doi:10.1080/10618600.2017.1366914. ISSN 1061-8600. https://www.tandfonline.com/doi/full/10.1080/10618600.2017.1366914. 
  2. ↑ Wilke, Claus (2019). Fundamentals of data visualization: a primer on making informative and compelling figures (First ed.). Beijing Boston Farnham Sebastopol Tokyo: O'Reilly. ISBN 978-1-4920-3108-6. 
  3. ↑ "Sinaplot vs Violin plot - Why Sinaplot is better than Violinplot in R" (in en-US). 2023-02-03. https://www.geeksforgeeks.org/sinaplot-vs-violin-plot-why-sinaplot-is-better-than-violinplot-in-r/. 
  4. ↑ datavizpyr (2021-03-28). "Sinaplot vs Violin plot: Why Sinaplot is better than Violinplot - Data Viz with Python and R" (in en-US). https://datavizpyr.com/sinaplot-vs-violin-plot-why-sinaplot-is-better-than-violinplot/,%20https://datavizpyr.com/sinaplot-vs-violin-plot-why-sinaplot-is-better-than-violinplot/. 
  5. ↑ https://ggforce.data-imaginist.com/reference/geom_sina.html
  6. ↑ https://cran.r-project.org/web/packages/sinaplot/vignettes/SinaPlot.html
  7. ↑ https://plotnine.readthedocs.io/en/stable/generated/plotnine.geoms.geom_sina.html



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