Mondrian (software)

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Mondrian
Developer Martin Theus
Appeared in 1997
Stable release 1.2 / January 11, 2011; 3 years ago (2011-01-11)
OS Windows, Macintosh, Linux
License GNU GPL 3+
Website www.theusrus.de/Mondrian/

Mondrian is a general-purpose statistical data-visualization system. All plots in Mondrian are fully linked, and offer various interactions and queries. Any case selected in a plot in Mondrian is highlighted in all other plots.

Currently implemented plots comprise Mosaic Plot, Scatterplots and SPLOM, Maps, Barcharts, Histograms, Missing Value Plot, Parallel Coordinates/Boxplots and Boxplots y by x.

Mondrian works with data in standard tab-delimited or comma-separated ASCII files and can load data from R workspaces. There is basic support for working directly on data in databases.

Mondrian links to R and offers statistical procedures like interactive density estimation, scatterplot smoothers, multidimensional scaling (MDS) and principal component analysis (PCA).

Overview[edit]

Starting in 1997, Mondrian was first developed with a focus on visualization techniques for categorical data and enhanced selection techniques. Over the years, a complete suite of visualizations for univariate and multivariate data measured on any scale were added. The link to R offers well tested statistical procedures, which integrate seamlessly into the interactive graphics. Today, even geographical data is supported with highly interactive maps.

Mondrian details[edit]

Last stable and beta versions, help and documentations are available on the developer web site, Martin Theus

Supported data sources[edit]

Mondrian works on plain text files with tab-separated columns with variable header, as exported from Microsoft Excel as ".txt". If the Rserve link and R are present, Mondrian also reads data directly from R workspace files (.RData files).

Visualizations[edit]

Interaction techniques[edit]

  • Query
  • Select
  • Modifiy

Further reading[edit]

  • Theus, M. (2002). Interactive Data Visualization using Mondrian, in Journal of Statistical Software 7 (11): 1–9.
  • Theus, M. and Urbanek, S. (2008). Interactive Graphics for Data Analysis: Principles and Examples (Computer Science and Data Analysis), Chapman & Hall / CRC.

See also[edit]

External links[edit]