XGobi: interactive dynamic data visualization in the X window system. XGobi is a data visualization system with state-of-the-art interactive and dynamic methods for the manipulation of views of data. It implements 2-D displays of projections of points and lines in high-dimensional spaces, as well as parallel coordinate displays and textual views thereof. Projection tools include dotplots of single variables, plots of pairs of variables, 3-D data rotations, various grand tours, and interactive projection pursuit. Views of the data can be reshaped. Points can be labeled and brushed with glyphs and colors. Lines can be edited and colored. Several XGobi processes can be run simultaneously and linked for labeling, brushing, and sharing of projections. Missing data are accommodated and their patterns can be examined; multiple imputations can be given to XGobi for rapid visual diagnostics. XGobi includes an extensive online help facility. XGobi can be integrated in other software systems, as has been done for the data analysis language S, the geographic information system (GIS) Arc View™, and the interactive multidimensional scaling program XGvis. XGobi is implemented in the X Window System™ for portability as well as the ability to run across a network.

References in zbMATH (referenced in 37 articles )

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  1. Laa, Ursula; Cook, Dianne; Valencia, German: A slice tour for finding hollowness in high-dimensional data (2020)
  2. Wang, Earo; Cook, Dianne; Hyndman, Rob J.: A new tidy data structure to support exploration and modeling of temporal data (2020)
  3. Sievert, Carson; VanderPlas, Susan; Cai, Jun; Ferris, Kevin; Khan, Faizan Uddin Fahad; Hocking, Toby Dylan: Extending ggplot2 for linked and animated web graphics (2019)
  4. Sankaran, Kris; Holmes, Susan: Interactive visualization of hierarchically structured data (2018)
  5. Tomokazu Fujino: vdmR: Generating Web-Based Visual Data Mining Tools with R (2017) not zbMATH
  6. Xiaoyue Cheng and Dianne Cook and Heike Hofmann: Visually Exploring Missing Values in Multivariable Data Using a Graphical User Interface (2015) not zbMATH
  7. Xie, Yihui; Hofmann, Heike; Cheng, Xiaoyue: Reactive programming for interactive graphics (2014)
  8. Thibault Laurent; Anne Ruiz-Gazen; Christine Thomas-Agnan: GeoXp: An R Package for Exploratory Spatial Data Analysis (2012) not zbMATH
  9. Hadley Wickham; Dianne Cook; Heike Hofmann; Andreas Buja: tourr: An R Package for Exploring Multivariate Data with Projections (2011) not zbMATH
  10. Hurley, C. B.; Oldford, R. W.: Graphs as navigational infrastructure for high dimensional data spaces (2011)
  11. Urbanek, Simon: iPlots eXtreme: next-generation interactive graphics design and implementation of modern interactive graphics (2011)
  12. Enrico Glaab; Jonathan Garibaldi; Natalio Krasnogor: vrmlgen: An R Package for 3D Data Visualization on the Web (2010) not zbMATH
  13. Hobbs, J.; Wickham, H.; Hofmann, H.; Cook, D.: Glaciers melt as mountains warm: a graphical case study (2010)
  14. Petrie, Adam; Willemain, Thomas R.: The snake for visualizing and for counting clusters in multivariate data (2010)
  15. García-Escudero, L. A.; Gordaliza, A.; San Martín, R.; van Aelst, S.; Zamar, R.: Robust linear clustering (2009)
  16. Lawrence, Michael; Wickham, Hadley; Cook, Dianne; Hofmann, Heike; Swayne, Deborah F.: Extending the GGobi pipeline from R. Rapid prototyping of interactive visualizations (2009)
  17. Wickham, Hadley; Lawrence, Michael; Cook, Dianne; Buja, Andreas; Hofmann, Heike; Swayne, Deborah F.: The plumbing of interactive graphics (2009)
  18. Porzio, Giovanni C.; Ragozini, Giancarlo; Vistocco, Domenico: On the use of archetypes as benchmarks (2008)
  19. Fujino, Tomokazu: SVG+Ajax+R: a new framework for WebGIS (2007)
  20. Ligges, Uwe: Programming with R (2007)

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