IDEAS home Printed from https://ideas.repec.org/a/eee/csdana/v43y2003i4p495-508.html
   My bibliography  Save this article

Visualizing categorical data in ViSta

Author

Listed:
  • Valero-Mora, Pedro M.
  • Young, Forrest W.
  • Friendly, Michael

Abstract

No abstract is available for this item.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:csdana:v:43:y:2003:i:4:p:495-508
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167-9473(02)00289-X
    Download Restriction: Full text for ScienceDirect subscribers only.
    ---><---

    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. Friendly, Michael & Kwan, Ernest, 2003. "Effect ordering for data displays," Computational Statistics & Data Analysis, Elsevier, vol. 43(4), pages 509-539, August.
    2. Peter Heijden & Jan Leeuw, 1985. "Correspondence analysis used complementary to loglinear analysis," Psychometrika, Springer;The Psychometric Society, vol. 50(4), pages 429-447, December.
    3. Michel Tenenhaus & Forrest Young, 1985. "An analysis and synthesis of multiple correspondence analysis, optimal scaling, dual scaling, homogeneity analysis and other methods for quantifying categorical multivariate data," Psychometrika, Springer;The Psychometric Society, vol. 50(1), pages 91-119, March.
    Full references (including those not matched with items on IDEAS)

    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. Fithian, William & Josse, Julie, 2017. "Multiple correspondence analysis and the multilogit bilinear model," Journal of Multivariate Analysis, Elsevier, vol. 157(C), pages 87-102.
    2. Mariela González-Narváez & María José Fernández-Gómez & Susana Mendes & José-Luis Molina & Omar Ruiz-Barzola & Purificación Galindo-Villardón, 2021. "Study of Temporal Variations in Species–Environment Association through an Innovative Multivariate Method: MixSTATICO," Sustainability, MDPI, vol. 13(11), pages 1-25, May.
    3. Rosaria Lombardo & Yoshio Takane & Eric J. Beh, 2020. "Familywise decompositions of Pearson’s chi-square statistic in the analysis of contingency tables," 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. 14(3), pages 629-649, September.
    4. Gardner, Sugnet & Gower, John C. & le Roux, N.J., 2006. "A synthesis of canonical variate analysis, generalised canonical correlation and Procrustes analysis," Computational Statistics & Data Analysis, Elsevier, vol. 50(1), pages 107-134, January.
    5. Naomichi Makino, 2015. "Generalized data-fitting factor analysis with multiple quantification of categorical variables," Computational Statistics, Springer, vol. 30(1), pages 279-292, March.
    6. K. Fernández-Aguirre & M. Garín-Martín & J. Modroño-Herrán, 2014. "Visual displays: analytical study and applications to graphs and real data," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(4), pages 2209-2224, July.
    7. Takayuki Saito & Tatsuo Otsu, 1988. "A method of optimal scaling for multivariate ordinal data and its extensions," Psychometrika, Springer;The Psychometric Society, vol. 53(1), pages 5-25, March.
    8. Saudi-Yulieth Enciso-Alfaro & Víctor Amor-Esteban & Tânia-Cristina Azevedo & Isabel-María García-Sánchez, 2023. "Multivariate Analysis of Clean Technologies in Agricultural and Livestock Companies in Castilla y León," Agriculture, MDPI, vol. 13(11), pages 1-25, November.
    9. Vartan Choulakian, 1988. "Exploratory analysis of contingency tables by loglinear formulation and generalizations of correspondence analysis," Psychometrika, Springer;The Psychometric Society, vol. 53(2), pages 235-250, June.
    10. Antonello D’Ambra & Pietro Amenta & Anna Crisci & Antonio Lucadamo, 2022. "The generalized Taguchi’s statistic: a passenger satisfaction evaluation," METRON, Springer;Sapienza Università di Roma, vol. 80(1), pages 41-60, April.
    11. Núñez-Serrano, Juan A. & Turrión, Jaime & Velázquez, Francisco J., 2014. "Are stars a good indicator of hotel quality? Assymetric information and regulatory heterogeneity in Spain," Tourism Management, Elsevier, vol. 42(C), pages 77-87.
    12. Michailidis, George & de Leeuw, Jan, 2000. "Multilevel homogeneity analysis with differential weighting," Computational Statistics & Data Analysis, Elsevier, vol. 32(3-4), pages 411-442, January.
    13. Thioulouse, Jean & Chevenet, Francois, 1996. "NetMul, a World-Wide Web user interface for multivariate analysis software," Computational Statistics & Data Analysis, Elsevier, vol. 21(3), pages 369-372, March.
    14. Jisu Yoon & Stephan Klasen, 2018. "An Application of Partial Least Squares to the Construction of the Social Institutions and Gender Index (SIGI) and the Corruption Perception Index (CPI)," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 138(1), pages 61-88, July.
    15. Obradović, Tena & Vlačić, Božidar & Dabić, Marina, 2021. "Open innovation in the manufacturing industry: A review and research agenda," Technovation, Elsevier, vol. 102(C).
    16. 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.
    17. Dray, Stephane, 2008. "On the number of principal components: A test of dimensionality based on measurements of similarity between matrices," Computational Statistics & Data Analysis, Elsevier, vol. 52(4), pages 2228-2237, January.
    18. Jan Leeuw, 1988. "Multivariate analysis with linearizable regressions," Psychometrika, Springer;The Psychometric Society, vol. 53(4), pages 437-454, December.
    19. Giuseppe Bove & Akinori Okada, 2018. "Methods for the analysis of asymmetric pairwise relationships," 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. 12(1), pages 5-31, March.
    20. Matthew Ward & Zaixian Xie & Di Yang & Elke Rundensteiner, 2011. "Quality-aware visual data analysis," Computational Statistics, Springer, vol. 26(4), pages 567-584, December.

    More about this item

    Statistics

    Access and download statistics

    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:eee:csdana:v:43:y:2003:i:4:p:495-508. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/csda .

    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.