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Chart display mode for augmenting multiple individual data series on a wide ranging data graph Disclosure Number: IPCOM000031135D
Original Publication Date: 2004-Sep-14
Included in the Prior Art Database: 2004-Sep-14
Document File: 2 page(s) / 47K

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This article describes a chart display mode for analyzing trends between data series where the individual value ranges of the data series may be distant. When plotted together on a typical x-y axis chart, such data series may cause a loss of visual detail for the user viewing the chart because of the scaling along the y-axis. The described display mode provides a view of all data series on a chart with their y-values normalized to the same y-axis range.

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Chart display mode for augmenting multiple individual data series on a wide ranging data graph

Disclosed is a method for enhancing fluctuations between multiple data series on a chart. When a chart displays multiple data series on the same y-axis, it is possible that the y range of one or more data series is narrow relative to the full range of the y-axis (see Figure 1 for an example). This may result in a loss of detail for the user viewing the narrow data series. One solution to this problem is to plot the data on a logarithmic chart. Although this helps sometimes, it often does not bring out variations in the data series. Another way to approach this is to plot each of the data series on a separate chart and view them side by side. The drawbacks with this are that the multiple charts consume more space and it is more difficult for the user to line up points across the different charts.

An additional solution is necessary for when a user viewing a chart wants to know how/if variations in one data series are related to variations in another data series. For example, a user may be concerned that a series on the chart has dropped from 7,000 to 6,000 within a minute. It may be helpful to know that another series on the chart has climbed from 10 to 50 in the last minute also, but since the chart range goes from 10 to 7,000 the climb of the second series would not be visible on a typical x-y axis chart.

The solution described by this article provides the user with a...