Bagplot

Example of a bagplot created in R.

A bagplot, or starburst plot,[1][2] is a method in robust statistics for visualizing two-dimensional statistical data, analogous to the one-dimensional box plot. Introduced in 1999 by Rousseuw et al., the bagplot allows one to visualize the location, spread, skewness, and outliers of the data set.[3]

Construction

The bagplot consists of three nested polygons, called the "bag", the "fence", and the "loop".

An asterisk symbol (*) near the center of the graph is be used to mark the depth median, the point with the highest possible Tukey depth. The observations between the bag and fence are marked by line segments, on a line to the depth median, connecting them to the bag.

Properties

The bagplot is invariant under affine transformations of the plane, and robust against outliers.[7]

References

  1. Rousseeuw, Peter J.; Ruts I.; Tukey J.W. (1999). "The Bagplot: A Bivariate Boxplot". The American Statistician 53 (4): 382–387. doi:10.1080/00031305.1999.10474494.
  2. Ronald K. Pearson (1 April 2005). Mining Imperfect Data: Dealing with Contamination and Incomplete Records. SIAM. pp. 204–. ISBN 978-0-89871-582-8.
  3. Dominique Haughton; Jonathan Haughton (18 September 2011). Living Standards Analytics: Development through the Lens of Household Survey Data. Springer. pp. 14–. ISBN 978-1-4614-0385-2.
  4. Sophie Dabo-Niang; Fr©♭d©♭ric Ferraty (21 May 2008). Functional and Operatorial Statistics. Springer. pp. 204–. ISBN 978-3-7908-2062-1.
  5. John C. Gower; Sugnet Gardner Lubbe; Niel J. Le Roux (23 February 2011). Understanding Biplots. John Wiley & Sons. pp. 59–. ISBN 978-1-119-97290-7.
  6. Prabhanjan Narayanachar Tattar (24 July 2013). R Statistical Application Development by Example Beginner's Guide. Packt Publishing Ltd. pp. 203–. ISBN 978-1-84951-945-8.
  7. Rajeev Raman; Robert Sedgewick; Matthias F. Stallmann (1 January 2006). Proceedings of the Eighth Workshop on Algorithm Engineering and Experiments and the Third Workshop on Analytic Algorithmics and Combinatorics. SIAM. pp. 62–. ISBN 978-0-89871-610-8.
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