Range charts are types of charts that use 2D or 3D shapes defined by the beginning and end values of their bounding boxes. They are versatile tools that can be used to display histograms, bars with custom sizes, and 3D ranges, among other things.
With Range charts, you can easily define display 2D and 3D range by simply specifying their begin end values in the X, Y, and Z direction.
The Range series can display 2D or 3D shapes defined by the begin / end values of their bounding boxes. It can be used to display histograms, bars with custom sizes, 3D ranges etc. The Range Series lets you easily define 2D data points by four values, forming two ranges: [Begin X - End X], [Begin Y - End Y]. The following example shows histogram with varying x sizes, used to merge intervals with too scarce occurrences.
3D Range Series
Range Series lets you easily define 3D data points by six values, forming three ranges: [Begin X - End X], [Begin Y - End Y], [Begin Z - End Z].
3D Range Series
In this example Range Series are used to visualize device price and market penetration for CD and DVD players over a period of several years.
Sample Table Format
Data Point
Begin X
End X
Begin Y
End Y
Data point 4
20
22
2
8
Data point 5
20
22
2
8
Data point 6
20
22
2
8
In this table, each data point is defined by four values: Begin X, End X, Begin Y, and End Y. These values define the size and shape of the 2D range displayed in the Range chart.
Best Practices for Using Range Charts
Use appropriate data: The Range series is best suited for displaying data defined by two ranges, such as histograms or custom-sized bars. Ensure your data fits this criteria.
Choose the appropriate chart type: Nevron Chart component offers a variety of chart types, including 2D and 3D Range charts. Choose the appropriate chart type for your data to ensure it is displayed most effectively.
Customize the appearance: Use the range chart's appearance properties to customize the color, border, and shape of your ranges. This can help your data stand out and make it easier to read.
Use axis labels and titles: Use axis labels and titles to provide context and make it easier for your audience to understand your data. Ensure that the labels are clearly visible and legible.
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