How to Bind JSON, Excel and CSV Data to .NET MAUI Sparkline Charts

This sample demonstrates how to bind data from JSON, Excel, and CSV sources to Syncfusion’s SfSparkChart controls in a .NET MAUI application. Visualize data from multiple formats with minimal code using SparkLine, SparkArea, and SparkColumn charts.

What You'll Learn

• How to define a data model for SparkCharts.
• How to load and parse JSON, CSV, and Excel data in .NET MAUI.
• How to bind each data source to a different SparkChart control.
• How to display multiple charts in a single view for comparison.

Benefits

• Easily visualize data from a variety of sources in your MAUI apps.
• Use Syncfusion’s flexible SparkChart controls for compact, informative charts.
• Minimal code required for powerful data-driven UI.
• Works cross-platform on Android, iOS, Windows, and MacCatalyst.

Output

Bind and display JSON, CSV, and Excel data in three different SparkCharts:

• Line chart for JSON data (e.g., sales)
• Area chart for CSV data (e.g., revenue)
• Column chart for Excel data (e.g., expenses)

Prerequisites

• Syncfusion.Maui.Toolkit NuGet package installed.
• Syncfusion.XlsIO.NET NuGet package installed (for Excel reading).
• .NET MAUI development environment set up and ready to build/run.

Troubleshooting

If you encounter a "path too long" exception when building this project, close Visual Studio and rename the repository folder to a shorter name, then rebuild the project.

For a step-by-step procedure, refer to the How to Bind JSON, Excel, and CSV Data to MAUI SfSparkCharts? Knowledge Base article.