In-Depth

Add Pizzazz to Your Web Pages With GDI+

This session reveals the essential pieces of the .NET graphics libraries that allow you to create charts from your data dynamically.

Watch the video of the session! (Running time: 56 minutes, Windows Media format)

Reports are a vital part of any business application, and an integral part of reporting is generating charts and graphs. This session reveals the essential pieces of the .NET graphics libraries that allow you to create charts from your data dynamically. You'll discover how to pull your data from multiple sources and bind to your custom chart; how to implement charts as part of a simple ASPX page; how to embed them in user controls; and how to generate them from a Web service. You'll also learn formatting tricks to turn your charts into 3-D masterpieces.

comments powered by Disqus

Featured

  • Windows Community Toolkit v8.2 Adds Native AOT Support

    Microsoft shipped Windows Community Toolkit v8.2, an incremental update to the open-source collection of helper functions and other resources designed to simplify the development of Windows applications. The main new feature is support for native ahead-of-time (AOT) compilation.

  • New 'Visual Studio Hub' 1-Stop-Shop for GitHub Copilot Resources, More

    Unsurprisingly, GitHub Copilot resources are front-and-center in Microsoft's new Visual Studio Hub, a one-stop-shop for all things concerning your favorite IDE.

  • Mastering Blazor Authentication and Authorization

    At the Visual Studio Live! @ Microsoft HQ developer conference set for August, Rockford Lhotka will explain the ins and outs of authentication across Blazor Server, WebAssembly, and .NET MAUI Hybrid apps, and show how to use identity and claims to customize application behavior through fine-grained authorization.

  • Linear Support Vector Regression from Scratch Using C# with Evolutionary Training

    Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric value. A linear SVR model uses an unusual error/loss function and cannot be trained using standard simple techniques, and so evolutionary optimization training is used.

  • Low-Code Report Says AI Will Enhance, Not Replace DIY Dev Tools

    Along with replacing software developers and possibly killing humanity, advanced AI is seen by many as a death knell for the do-it-yourself, low-code/no-code tooling industry, but a new report belies that notion.

Most   Popular

Subscribe on YouTube