使用密度线图可视化百万个时间序列
Visualizing a Million Time Series with the Density Line Chart
摘要：
数据分析师经常需要同时处理多个系列的数据-通常显示为折线图。很少有可视化表示允许分析师同时查看许多行而不会变得压倒性或混乱。在本文中，我们介绍了密集线技术来计算时间序列的离散密度表示。DenseLines通过弧长对时间序列进行标准化，以计算准确的密度。导出的密度可视化允许用户查看多个系列的总趋势并识别异常极值。
英文摘要：
Data analysts often need to work with multiple series of data---conventionally shown as line charts---at once. Few visual representations allow analysts to view many lines simultaneously without becoming overwhelming or cluttered. In this paper, we introduce the DenseLines technique to calculate a discrete density representation of time series. DenseLines normalizes time series by the arc length to compute accurate densities. The derived density visualization allows users both to see the aggregate trends of multiple series and to identify anomalous extrema.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
