Mondrian (software)
![]() | This article may require cleanup to meet Wikipedia's quality standards. (June 2010) |
Developer | Martin Theus |
---|---|
First appeared | 1997 |
Stable release | 1.2
/ January 11, 2011 |
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[]
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[]
Last stable and beta versions, help and documentations are available on the developer web site, Martin Theus
Supported data sources[]
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[]
- 1-d: Barchart, , Histogram, , Boxplot
- 2-d: Scatterplot,
- High-D:
- Multivariate continuous: , Parallel coordinates
- Multivariate categorical: Mosaic plot (see also Treemapping)
- Geographical: Map
- Special:
Interaction techniques[]
- Query
- Select
- Modifiy
See also[]
References[]
- ^ Theus, Martin (August 29, 2013). "Mondrian - Interactive Statistical Data Visualization in JAVA". Martin Theus. Retrieved January 3, 2015.
Further reading[]
- 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[]
- 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
- Free plotting software
- Free statistical software
- Piet Mondrian
- Plotting software