MURAL - Maynooth University Research Archive Library



    Graphical Selection of Data Views


    Hurley, Catherine B. (2000) Graphical Selection of Data Views. Journal of Computational and Graphical Statistics, 9 (3). pp. 558-581. ISSN 1061-8600

    [thumbnail of CH-Graphical-2000.pdf]
    Preview
    Text
    CH-Graphical-2000.pdf

    Download (1MB) | Preview

    Abstract

    Graphical selection of data views is a fundamental task in interactive statistical graphics. Linked plots provide a form of indirect selection, where direct manipulation of objects displayed in one plot indirectly selects objects in other plots. A pointing device or brush is typically used for direct manipulation, and so this indirect selection is commonly known as linked brushing. Most commonly, linked brushing is applied to two or more scatterplots showing various pairs of variables from a multivariable dataset. This article describes a generalization of linked brushing for the setting where plots display different, though related datasets. With this form of linking, we can graphically explore relationships between datasets. Our linking system is extensible and handles any kind of display of any kind of dataset, as well as arbitrary relationships between those datasets.
    Item Type: Article
    Keywords: Brushing; Linking; Lisp; Software design;
    Academic Unit: Faculty of Science and Engineering > Mathematics and Statistics
    Item ID: 10150
    Identification Number: 10.2307/1390946
    Depositing User: Dr. Catherine Hurley
    Date Deposited: 24 Oct 2018 13:57
    Journal or Publication Title: Journal of Computational and Graphical Statistics
    Publisher: American Statistical Association
    Refereed: Yes
    URI: https://mu.eprints-hosting.org/id/eprint/10150
    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)

    Item control page
    Item control page

    Downloads

    Downloads per month over past year

    Origin of downloads