MURAL - Maynooth University Research Archive Library



    The Plot-Data Interface in Statistical Graphics


    Hurley, Catherine B. (1993) The Plot-Data Interface in Statistical Graphics. Journal of Computational and Graphical Statistics, 2 (4). pp. 365-379. ISSN 1061-8600

    [img]
    Preview
    Download (568kB) | Preview


    Share your research

    Twitter Facebook LinkedIn GooglePlus Email more...



    Add this article to your Mendeley library


    Abstract

    Statistical software systems include modules for manipulating data sets, model fitting, and graphics. Because plots display data, and models are fit to data, both the model-fitting and graphics modules depend on the data. Today's statistical environments allow the analyst to choose or even build a suitable data structure for storing the data and to implement new kinds of plots. The multiplicity problem caused by many plot varieties and many data representations is avoided by constructing a plot-data interface. The interface is a convention by which plots communicate with data sets, allowing plots to be independent of the actual data representation. This article describes the components of such a plot-data interface. The same strategy may be used to deal with the dependence of model-fitting procedures on data.

    Item Type: Article
    Keywords: Abstraction barrier; Interactive plots; Software design;
    Academic Unit: Faculty of Science and Engineering > Mathematics and Statistics
    Item ID: 10152
    Identification Number: https://doi.org/10.2307/1390691
    Depositing User: Dr. Catherine Hurley
    Date Deposited: 24 Oct 2018 14:23
    Journal or Publication Title: Journal of Computational and Graphical Statistics
    Publisher: Taylor & Francis, Ltd. on behalf of the American Statistical Association
    Refereed: Yes
    URI:
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

    Repository Staff Only(login required)

    View Item Item control page

    Downloads

    Downloads per month over past year

    Origin of downloads