GGobi is a freestatistical software tool for interactive data visualization. GGobi allows extensive exploration of the data with Interactive dynamic graphics. It is also a tool for looking at multivariate data. R can be used in sync with GGobi (through rggobi). The GGobi software can be embedded as a library in other programs and program packages using an application programming interface (API) (integration into a stand-alone application) or as an add-on to existing languages and scripting environments, e.g., with the R command line or from a Perl or Python scripts. GGobi prides itself on its ability to link multiple graphs together.[2]
GGobi was created to look at data matrices. The designers were interested in exploring multi-dimensional data. The program developers went through many name changes before settling on GGobi (A combination of the words GTK+ and the Gobi Desert). The original concept, Dataviewer, began in the mid-80s, and a predecessor, XGobi, began in 1989. Work began on the current version of GGobi in 1999. The main reason for the different versions was the change in technology.[3] Current version for MS Windows is 2.1.10a (12 March 2010) with an update for 64 bit usage from 10 June 2012.
This shows a projection from a 2D tour of 6D, where three clusters are visible. Two points are highlighted as yellow, which appear in the same color in other plots.
Parallel coordinate plot linked to scatterplot, show traces of the two points highlighted in the scatterplot.
Importance of graphics
Looking at data through various graphs can reveal more information about the distribution than just looking at the numbers or a summary of them. Using the different tools within GGobi, clusters, non-linear distributions, outliers, and other important variations in the data can be discovered. GGobi is a program which allows exploratory data analysis to occur for multi-dimensional data.
As the brush moves over a point, the point will be highlighted.
If "persistent" is selected, the points the brush has moved over will remain "painted".
Identify
As the cursor moves over a point, a label, or variable value will appear at the top of the graphic screen.
Linking
Multiple plots are linked so identifying one point in one plot will identify the same point on all other graphs, and brushing a group of points in one plot will highlight the same points in other plots. The linking can be one-to-one, or according to the values of a categorical variable in the data set.
Moving points
Points in a plot can be moved interactively, e.g. to gauge results from multidimensional scaling.
Buja, A., D. Cook, and D.F. Swayne (March 1998). "XGobi: Interactive Dynamic Data Visualization in the X Window System". in: Journal of Computational and Graphical Statistics 7 (1): 113–130.
Buja, A., D.T. Lang, and D.F. Swayne (August 28, 2003). "GGobi: Evolving From XGobi into an Extensible Framework for Interactive Data Visualization". In: Journal of Computational Statistics and Data Analysis 43 (4): 423–444.
Cook, D. and D.F. Swayne (2007), with contributions from Andreas Buja, Duncan Temple Lang, Heike Hofmann, Hadley Wickham, and Michael Lawrence. Interactive and Dynamic Graphics for Data Analysis: With R and GGobi. DOI: 10.1007/978-0-387-71762-3, Springer-Verlag New York.
External links
GGobi Data Visualization System
rggobi is an R package that interfaces R and GGobi.
GGobi blog
References to GGobi on the web include links at Humboldt University [1], Ubuntu [2], Debian [3], Freshmeat [4], Hugh-Public [5], Softpedia .
January 24, 2023
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This article includes a list of general references but it lacks sufficient corresponding inline citations Please help to improve this article by introducing more precise citations January 2011 Learn how and when to remove this template message GGobi is a free statistical software tool for interactive data visualization GGobi allows extensive exploration of the data with Interactive dynamic graphics It is also a tool for looking at multivariate data R can be used in sync with GGobi through rggobi The GGobi software can be embedded as a library in other programs and program packages using an application programming interface API integration into a stand alone application or as an add on to existing languages and scripting environments e g with the R command line or from a Perl or Python scripts GGobi prides itself on its ability to link multiple graphs together 2 GGobiDeveloperDeborah F Swayne Michael Lawrence Hadley Wickham Duncan Temple Lang Di Cook Heike Hofmann and Andreas BujaStable release2 1 10 a 10 June 2012 10 years ago 10 June 2012 OSWindows OS X LinuxLicenseGNU GPL BSD CPL 1 Websitewww wbr ggobi wbr org Contents 1 Overview 2 GGobi Topics 2 1 Importance of graphics 2 2 Supported data sources 2 3 Types of graphics 2 4 Interactions 3 See also 4 References 5 Further reading 6 External linksOverview EditGGobi was created to look at data matrices The designers were interested in exploring multi dimensional data The program developers went through many name changes before settling on GGobi A combination of the words GTK and the Gobi Desert The original concept Dataviewer began in the mid 80s and a predecessor XGobi began in 1989 Work began on the current version of GGobi in 1999 The main reason for the different versions was the change in technology 3 Current version for MS Windows is 2 1 10a 12 March 2010 with an update for 64 bit usage from 10 June 2012 Released under a combination of three free software licenses GGobi is free software 1 GGobi Topics Edit This shows a projection from a 2D tour of 6D where three clusters are visible Two points are highlighted as yellow which appear in the same color in other plots Parallel coordinate plot linked to scatterplot show traces of the two points highlighted in the scatterplot Importance of graphics Edit Looking at data through various graphs can reveal more information about the distribution than just looking at the numbers or a summary of them Using the different tools within GGobi clusters non linear distributions outliers and other important variations in the data can be discovered GGobi is a program which allows exploratory data analysis to occur for multi dimensional data Supported data sources Edit GGobi can read CSV and XML file types 4 Types of graphics Edit 1D Average shifted histogram textured dot plot barchart spineplot 2D Scatterplot High D Scatterplot matrix Parallel coordinates Grand tour projection pursuit guided tour manual tour Time series plotInteractions Edit These tools can be used to pick out special points or clusters of data BrushingAs the brush moves over a point the point will be highlighted If persistent is selected the points the brush has moved over will remain painted IdentifyAs the cursor moves over a point a label or variable value will appear at the top of the graphic screen LinkingMultiple plots are linked so identifying one point in one plot will identify the same point on all other graphs and brushing a group of points in one plot will highlight the same points in other plots The linking can be one to one or according to the values of a categorical variable in the data set Moving pointsPoints in a plot can be moved interactively e g to gauge results from multidimensional scaling Add remove points or edges See also Edit Free Software portalData visualization Mondrian data analysisReferences Edit a b GGobi licences page XGobi is listed on Michael Friendly s Milestones of Statistical Graphics Archived 2014 04 14 at the Wayback Machine webpage The history of GGobi XML XML format for ggobiFurther reading EditBuja A D Cook and D F Swayne March 1998 XGobi Interactive Dynamic Data Visualization in the X Window System in Journal of Computational and Graphical Statistics 7 1 113 130 Buja A D T Lang and D F Swayne August 28 2003 GGobi Evolving From XGobi into an Extensible Framework for Interactive Data Visualization In Journal of Computational Statistics and Data Analysis 43 4 423 444 Cook D and D F Swayne 2007 with contributions from Andreas Buja Duncan Temple Lang Heike Hofmann Hadley Wickham and Michael Lawrence Interactive and Dynamic Graphics for Data Analysis With R and GGobi DOI 10 1007 978 0 387 71762 3 Springer Verlag New York External links EditGGobi Data Visualization System rggobi is an R package that interfaces R and GGobi GGobi blog References to GGobi on the web include links at Humboldt University 1 Ubuntu 2 Debian 3 Freshmeat 4 Hugh Public 5 Softpedia 6 Retrieved from https en wikipedia org w index php title GGobi amp oldid 1113919257, wikipedia, wiki, book, books, library,
