Keim Daniel A, Hao Ming C, Dayal Umeshwar, Lyons Martha
Computer and Information Science Department, University of Konstanz, Konstanz, Germany.
IEEE Trans Vis Comput Graph. 2007 Jul-Aug;13(4):822-33. doi: 10.1109/TVCG.2007.1023.
One of the common problems businesses need to solve is how to use large volumes of sales histories, Web transactions, and other data to understand the behavior of their customers and increase their revenues. Bar charts are widely used for daily analysis, but only show highly aggregated data. Users often need to visualize detailed multidimensional information reflecting the health of their businesses. In this paper, we propose an innovative visualization solution based on the use of value cells within bar charts to represent business metrics. The value of a transaction can be discretized into one or multiple cells: high-value transactions are mapped to multiple value cells, whereas many small-value transactions are combined into one cell. With value-cell bar charts, users can 1) visualize transaction value distributions and correlations, 2) identify high-value transactions and outliers at a glance, and 3) instantly display values at the transaction record level. Value-Cell Bar Charts have been applied with success to different sales and IT service usage applications, demonstrating the benefits of the technique over traditional charting techniques. A comparison with two variants of the well-known Treemap technique and our earlier work on Pixel Bar Charts is also included.
企业需要解决的常见问题之一是如何利用大量销售记录、网络交易数据及其他数据来了解客户行为并增加收入。柱状图广泛用于日常分析，但仅显示高度汇总的数据。用户通常需要可视化反映其业务健康状况的详细多维信息。在本文中，我们提出了一种创新的可视化解决方案，该方案基于在柱状图中使用值单元格来表示业务指标。一笔交易的值可以离散化为一个或多个单元格：高值交易映射到多个值单元格，而许多低值交易合并为一个单元格。通过值单元格柱状图，用户可以：1）可视化交易值分布和相关性；2）一眼识别高值交易和异常值；3）立即在交易记录级别显示值。值单元格柱状图已成功应用于不同的销售和IT服务使用应用程序，证明了该技术相对于传统图表技术的优势。本文还将其与著名的树形图技术的两个变体以及我们早期关于像素柱状图的工作进行了比较。
