IDEAS home Printed from https://ideas.repec.org/a/spr/compst/v26y2011i4p613-633.html
   My bibliography  Save this article

Eulerian tour algorithms for data visualization and the PairViz package

Author

Listed:
  • C. Hurley
  • R. Oldford

Abstract

No abstract is available for this item.

Suggested Citation

  • C. Hurley & R. Oldford, 2011. "Eulerian tour algorithms for data visualization and the PairViz package," Computational Statistics, Springer, vol. 26(4), pages 613-633, December.
    • Handle: RePEc:spr:compst:v:26:y:2011:i:4:p:613-633
    DOI: 10.1007/s00180-011-0229-5
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s00180-011-0229-5
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s00180-011-0229-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. C. Hurley & R. Oldford, 2011. "Graphs as navigational infrastructure for high dimensional data spaces," Computational Statistics, Springer, vol. 26(4), pages 585-612, December.
    2. Theus, Martin, 2002. "Interactive Data Visualization using Mondrian," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 7(i11).
    3. Friendly, Michael & Kwan, Ernest, 2003. "Effect ordering for data displays," Computational Statistics & Data Analysis, Elsevier, vol. 43(4), pages 509-539, August.
    4. Unwin, Antony & Volinsky, Chris & Winkler, Sylvia, 2003. "Parallel coordinates for exploratory modelling analysis," Computational Statistics & Data Analysis, Elsevier, vol. 43(4), pages 553-564, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. C. Hurley & R. Oldford, 2011. "Graphs as navigational infrastructure for high dimensional data spaces," Computational Statistics, Springer, vol. 26(4), pages 585-612, December.
    2. Hofert, Marius & Oldford, Wayne, 2018. "Visualizing dependence in high-dimensional data: An application to S&P 500 constituent data," Econometrics and Statistics, Elsevier, vol. 8(C), pages 161-183.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sewell, Daniel K., 2018. "Visualizing data through curvilinear representations of matrices," Computational Statistics & Data Analysis, Elsevier, vol. 128(C), pages 255-270.
    2. Manuel Eugster & Friedrich Leisch, 2011. "Exploratory analysis of benchmark experiments an interactive approach," Computational Statistics, Springer, vol. 26(4), pages 699-710, December.
    3. Hofert, Marius & Oldford, Wayne, 2018. "Visualizing dependence in high-dimensional data: An application to S&P 500 constituent data," Econometrics and Statistics, Elsevier, vol. 8(C), pages 161-183.
    4. Ioan I. ANDONE, 2008. "Principles of Information Visualization for Business Research," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 2, pages 161-178, November.
    5. Matthias Templ & Andreas Alfons & Peter Filzmoser, 2012. "Exploring incomplete data using visualization techniques," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 6(1), pages 29-47, April.
    6. John W. Emerson, 2008. "Interactive and Dynamic Graphics for Data Analysis: With R and GGobi by COOK, D. and SWAYNE, D," Biometrics, The International Biometric Society, vol. 64(4), pages 1301-1303, December.
    7. Pilhöfer, Alexander & Unwin, Antony, 2013. "New Approaches in Visualization of Categorical Data: R Package extracat," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 53(i07).
    8. Matthew Ward & Zaixian Xie & Di Yang & Elke Rundensteiner, 2011. "Quality-aware visual data analysis," Computational Statistics, Springer, vol. 26(4), pages 567-584, December.
    9. Tanguiane, Andranick S., 2022. "Analysis of the 2021 Bundestag elections. 2/4. Political spectrum," Working Paper Series in Economics 152, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.
    10. Tomokazu Fujino, 2007. "SVG+Ajax+R: a new framework for WebGIS," Computational Statistics, Springer, vol. 22(4), pages 511-520, December.
    11. Brzezińska Justyna, 2018. "Visualization of Categorical Data Using Extracat Package in R," Econometrics. Advances in Applied Data Analysis, Sciendo, vol. 22(2), pages 9-19, June.
    12. Dietsch, Michel & Petey, Joël, 2015. "The credit-risk implications of home ownership promotion: The effects of public subsidies and adjustable-rate loans," Journal of Housing Economics, Elsevier, vol. 28(C), pages 103-120.
    13. John Fox & Michael Friendly & Georges Monette, 2009. "Visualizing hypothesis tests in multivariate linear models: the heplots package for R," Computational Statistics, Springer, vol. 24(2), pages 233-246, May.
    14. Ana Muñoz-Mazón & Laura Fuentes-Moraleda & Angela Chantre-Astaiza & Marlon-Felipe Burbano-Fernandez, 2019. "The Study of Tourist Movements in Tourist Historic Cities: A Comparative Analysis of the Applicability of Four Different Tools," Sustainability, MDPI, vol. 11(19), pages 1-26, September.
    15. Kumasaka, Natsuhiko & Shibata, Ritei, 2008. "High-dimensional data visualisation: The textile plot," Computational Statistics & Data Analysis, Elsevier, vol. 52(7), pages 3616-3644, March.
    16. Valero-Mora, Pedro M. & Young, Forrest W. & Friendly, Michael, 2003. "Visualizing categorical data in ViSta," Computational Statistics & Data Analysis, Elsevier, vol. 43(4), pages 495-508, August.
    17. Claudio Conversano & Domenico Vistocco, 2010. "Analysis of mutual funds' management styles: a modeling, ranking and visualizing approach," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(11), pages 1825-1845.
    18. Simon Urbanek, 2009. "How to talk to strangers: ways to leverage connectivity between R, Java and Objective C," Computational Statistics, Springer, vol. 24(2), pages 303-311, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:compst:v:26:y:2011:i:4:p:613-633. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.