Title of article :
Hierarchical pixel bar charts
Author/Authors :
Keim، نويسنده , , D.A.، نويسنده , , Hao، نويسنده , , M.C.، نويسنده , , Dayal، نويسنده , , U.، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2002
Abstract :
Simple presentation graphics are intuitive and easy-to-use, but only show highly aggregated data. Bar charts, for example,
only show a rather small number of data values and x-y-plots often have a high degree of overlap. Presentation techniques are often
chosen depending on the considered data type—bar charts, for example, are used for categorical data and x-y plots are used for
numerical data. In this article, we propose a combination of traditional bar charts and x-y-plots, which allows the visualization of large
amounts of data with categorical and numerical data. The categorical data dimensions are used for the partitioning into the bars and
the numerical data dimensions are used for the ordering arrangement within the bars. The basic idea is to use the pixels within the bars
to present the detailed information of the data records. Our so-called pixel bar charts retain the intuitiveness of traditional bar charts
while applying the principle of x-y charts within the bars. In many applications, a natural hierarchy is defined on the categorical data
dimensions such as time, region, or product type. In hierarchical pixel bar charts, the hierarchy is exploited to split the bars for selected
portions of the hierarchy. Our application to a number of real-world e-business and Web services data sets shows the wide applicability
and usefulness of our new idea.
Keywords :
Information Visualization , multidimensional data visualization , visual data exploration and data mining , very largemultiattributes data sets , hierarchical visualization.
Journal title :
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
Journal title :
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS