Having accurate and complete output labels across a representative set of data is a fundamental requirement for any visual data representation.
A good charting product must support an automatic data label layout. This white paper outlines the usage and benefits of the automatic layout functionality.
Displaying grid-spaced data associated with a value in third dimensions is a common visualization task in many areas such as terrain visualization, material design, geographics, financial analysis, etc. Nevron NOV Chart for .NET fully supports a heat map display with many options that allow you to control how the heat map is scaled, colored, and labeled.
In this whitepaper, you can track the process of creating a heat map chart with labeled contour lines.
It may be of interest to you know that I selected Nevron charting component mostly based the examples demonstrating programmability, events, etc. We really didn't have the possibility to review in depth several graphing components (there are a lot of them) and all of them show pretty pictures, but from picture demos only you cannot tell about functionality and programmability inside the component engine.
Since Nevron examples demonstrated clicking, events, etc. I got the feeling that it offers a lot of freedom to the developer and you wouldn't be stuck with it at some later point in your development.
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
