Vector charts use arrows or lines to represent data points. Vector charts help display complex data sets with magnitude and direction, such as wind or water currents, force fields and others.
Vector charts are handy for scientific and engineering applications, as well as in geography and meteorology. They allow users to easily visualize complex data sets and identify patterns and trends in the data.
This example demonstrates a 2D Vector Field implemented with the Vector Series. A 2D vector field is a visualization that uses arrows to represent forces acting at a specific point. The arrows are defined by four coordinates: Begin X, Begin Y, End X, and End Y. This series has many applications in scientific charts.
3D Vector Field
This example demonstrates a 3D Vector Field implemented with the Vector Series. It uses arrows to represent data points defined by six coordinates: Begin X, Begin Y, Begin Z, End X, End Y, and End Z. This type of chart is ideal for displaying complex 3D data sets and can be used in a variety of applications, from scientific research to engineering analysis.
Sample Table Format
Begin X
Begin Y
End X
End Y
0
0
5
5
2
1
7
4
4
3
9
8
6
4
11
6
8
6
13
11
In this sample table, each row represents a data point with four coordinates: the Begin X and Begin Y coordinates define the starting point of the arrow, while the End X and End Y coordinate define the ending point of the arrow.
The length and direction of each arrow will be determined by the values in the End X and End Y columns.
Best Practices for Using Vector Charts
Ensure data accuracy: Vector charts rely on accurate data points to create accurate representations of your data. Ensure your data is properly collected, processed, and inputted into the chart.
Use appropriate scale and units: The scale of your chart should be relevant to the data you are visualizing. It's also important to ensure that the units used to define the magnitude and direction of the data points are consistent and appropriate.
Customize the appearance of the chart: Vector charts can be customized to fit the specific needs of your data. Choose arrow styles and colors that work well with your data, and adjust the size and position of the chart as needed.
Use labels and annotations: Labels and annotations can be added to a vector chart to provide additional context and make the chart easier to interpret. Consider adding labels to indicate the direction and magnitude of the arrows or annotations to highlight specific data points.
Keep it simple: Vector charts can quickly become complex and difficult to interpret. Keep your chart as simple as possible by limiting the number of data points and choosing a straightforward, easy-to-read design.
Open Vision for .NET
NOV Chart for .NET
NOV Diagram for .NET
NOV Rich Text Editor for .NET
NOV Grid for .NET
NOV Schedule for .NET
NOV Gauge for .NET
NOV Barcode for .NET
NOV User Interface for .NET
Vision for .NET
Chart for .NET
Diagram for .NET
User Interface for .NET
Vision for SSRS
Chart for SSRS
Gauge for SSRS
Map for SSRS
Barcode for SSRS
Vision for SharePoint
Chart for SharePoint
Gauge for SharePoint
Map for SharePoint
Barcode for SharePoint
