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Data inspection using biplots

Author

Listed:
  • Ulrich Kohler

    () (Wissenschaftszentrum Berlin)

  • Magdalena Luniak

    () (Wissenschaftszentrum Berlin)

Abstract

Biplots display interunit distances, as well as variances and correlations of variables of large datasets. They can be used as a tool to reveal clustering, multicollinearity, and multivariate outliers, and to guide the interpretation of principal component analyses (PCA). This article describes the uses of biplots and its implementation in Stata. Copyright 2005 by StataCorp LP.

Suggested Citation

  • Ulrich Kohler & Magdalena Luniak, 2005. "Data inspection using biplots," Stata Journal, StataCorp LP, vol. 5(2), pages 208-233, June.
  • Handle: RePEc:tsj:stataj:v:5:y:2005:i:2:p:208-233
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    Citations

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    Cited by:

    1. Tony Irawan, 2014. "ICT and economic development: comparing ASEAN member states," International Economics and Economic Policy, Springer, vol. 11(1), pages 97-114, February.
    2. Frisell, Lars & Roszbach, Kasper F. & Spagnolo, Giancarlo, 2008. "Governing the Governors: A Clinical Study of Central Banks," CEPR Discussion Papers 6888, C.E.P.R. Discussion Papers.
    3. repec:spr:soinre:v:136:y:2018:i:1:d:10.1007_s11205-016-1541-9 is not listed on IDEAS
    4. Böhnke, Petra & Kohler, Ulrich, 2008. "Well-being and inequality," Discussion Papers, Research Unit: Inequality and Social Integration SP I 2008-201, Social Science Research Center Berlin (WZB).
    5. Laura Capera & Juan Sebastián Lemus & Dairo Estrada, "undated". "Relaciones crediticias y riesgo de contagio en el mercado interbancario no colateralizado colombiano," Temas de Estabilidad Financiera 077, Banco de la Republica de Colombia.
    6. Tony Irawan, 2013. "ICT and Economic Development:Conclusion from IO Analysis for Selected ASEAN Member States," EIIW Discussion paper disbei192, Universitätsbibliothek Wuppertal, University Library.

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