Interactive Visual Data Analysis by Schumann Heidrun; Tominski Christian;

Interactive Visual Data Analysis by Schumann Heidrun; Tominski Christian;

Author:Schumann, Heidrun; Tominski, Christian;
Language: eng
Format: epub
Publisher: CRC Press LLC
Published: 2020-03-13T00:00:00+00:00


Figure 4.26 Integrated range slider for per-axis pan and zoom. Adjusting the slider has two complementary effects. First, the slider body marks the subrange of interest D+ = [Dlow, Dhigh] within the global value range D = [Dmin, Dmax]. Second, the actual visualization mapping of the axis is altered. Instead of showing the global min-max range, only the subrange of interest is visible. Note that the subrange extends over the entire length of the axis. This way, we obtain a per-axis pan and zoom functionality. Narrowing the slider allows us to look closer at details, whereas widening the slider will take us back to a broader view. Moving the slider will bring us to a different part of the value range.

An example with four zoomable axes is shown in Figure 4.25b. The time axis has been zoomed to the first half of 1999, the two greenish axes have been set so as to get rid of outliers, and the red axis focuses on a user-chosen value range.

With these per-axis zoom interactions, we conclude our excursion into the area of zoomable visualizations. As we have seen, there exists a rich set of interactive tools and corresponding visual cues for comprehensive multi-scale data exploration. In the next section, we will study interactive lenses as another powerful concept for interactive data exploration. In contrast to pan and zoom, which typically affect the visualization globally, interactive lenses are tools for lightweight local adjustments of the visualizations.



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