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Mondrian (software)
View on Wikipedia| Mondrian | |
|---|---|
| Developer | Martin Theus |
| First appeared | 1997 |
| Stable release | 1.2
/ January 11, 2011 |
| Preview release | 1.5.3
/ December 31, 2021 |
| OS | Windows, macOS, Linux |
| License | GNU GPL 3+ |
| Website | www |
Mondrian is a general-purpose statistical data-visualization system, for interactive data visualization.
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.[1] 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]- 1-d: Barchart, Spineplot, Histogram, Spinogram, Boxplot
- 2-d: Scatterplot, Boxplot y by x
- High-D:
- Multivariate continuous: Scatterplot matrix, Parallel coordinates
- Multivariate categorical: Mosaic plot (see also Treemapping)
- Geographical: Map
- Special: missing value plot
Interaction techniques
[edit]Mondrian supports Query, Select, and Modify.
See also
[edit]References
[edit]- ^ Theus, Martin (August 29, 2013). "Mondrian - Interactive Statistical Data Visualization in JAVA". Martin Theus. Retrieved January 3, 2015.
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.
External links
[edit]- Mondrian: Graphical Data Analysis Software
- Homepage for the book “Interactive Graphics for Data Analysis – Principles and Examples” - the book is heavily based on Mondrian
- theusrus - the homepage of Martin Theus