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Cumulative curves for exploration of demographic data: a case study of Northwest England

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Summary

The paper introduces the idea of generalising a cumulative frequency curve to show arbitrary cumulative counts. For example, in demographic studies generalised cumulative curves can represent the distribution of population or area. Generalised cumulative curves can be a valuable instrument for exploratory data analysis. The use of cumulative curves in an investigation of population statistics in Northwest England allowed us to discover interesting facts about relationships between the distribution of national minorities and the degree of deprivation. We detected that, while high concentration of national minorities occurs, in general, in underprivileged districts, there are some differences related to the origin of the minorities. The paper sets the applicability conditions for generalised cumulative curves and compares them with other graphical tools for exploratory data analysis.

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Acknowledgement

We thank the reviewers of the paper and the editor for helpful suggestions concerning its improvement.

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Authors and Affiliations

  1. SPADE-Spatial Decision Support Team, Fraunhofer AIS-Autonomous Intelligent Systems Institute, Schloss Birlinghoven, D-53754, Sankt Augustin, Germany

    Natalia Andrienko & Gennady Andrienko

Authors
  1. Natalia Andrienko
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  2. Gennady Andrienko
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Andrienko, N., Andrienko, G. Cumulative curves for exploration of demographic data: a case study of Northwest England. Computational Statistics 19, 9–28 (2004). https://doi.org/10.1007/BF02915274

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