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Mondrian

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Mondrian is a general‐purpose statistical data‐visualization system [Theus M. Interactive data visualization using Mondrian. J Stat Softw 2003, 7:1–9]. It features outstanding visualization techniques for data of almost any kind, and has its particular strength compared to other tools when working with categorical data, geographical data, and large data sets. Data displays in Mondrian are interactive, i.e., plot parameters may be changed interactively resulting in an instantaneous update of the views. Furthermore, all plots in Mondrian are fully linked, i.e., any case selected or marked in a plot in Mondrian is highlighted in all other linked plots. Mondrian offers interactive queries, which show information of the data objects in any plot. Copyright © 2010 John Wiley & Sons, Inc.

This article is categorized under:

  • Statistical Learning and Exploratory Methods of the Data Sciences > Exploratory Data Analysis
  • Software for Computational Statistics > Software/Statistical Software
  • Statistical and Graphical Methods of Data Analysis > Statistical Graphics and Visualization
Figure 1.

A sample screenshot of a Mondrian session showing various plots for a birthweight dataset.

[ Normal View | Magnified View ]
Figure 2.

An illustration of the linked highlighting paradigm, which propagates attributes to all instances of the same dataset.

[ Normal View | Magnified View ]
Figure 3.

An example of a selection sequence, which spans over three different plots in order to specify the subgroup of interest.

[ Normal View | Magnified View ]
Figure 4.

The spline‐smoother reveals a significantly lower birthweight for women who smoke over all gestation periods.

[ Normal View | Magnified View ]
Figure 5.

Although it is very hard to separate the four groups of the Australian crabs data in all canonical projections, the 2nd and 3rd principal component of the dataset separates the four groups quite well.

[ Normal View | Magnified View ]

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Software for Computational Statistics > Software/Statistical Software
Statistical Learning and Exploratory Methods of the Data Sciences > Exploratory Data Analysis
Statistical and Graphical Methods of Data Analysis > Statistical Graphics and Visualization

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