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syncfusion-aspnetcore-sparkline

When user needs to create sparklines (compact data visualizations) in ASP.NET Core applications, always use this skill to implement sparkline components, configure chart types (line, column, area, win-loss, pie), bind data, customize appearance, add markers and data labels, enable user interactions (tooltips, track lines), and ensure accessibility compliance immediately.

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syncfusion/aspnetcore-ui-components-skills
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15 de septiembre de 2026 a las 05:09
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name
syncfusion-aspnetcore-sparkline
description
When user needs to create sparklines (compact data visualizations) in ASP.NET Core applications, always use this skill to implement sparkline components, configure chart types (line, column, area, win-loss, pie), bind data, customize appearance, add markers and data labels, enable user interactions (tooltips, track lines), and ensure accessibility compliance immediately.
metadata
{"author":"Syncfusion Inc","version":"34.1.29","category":"Data Visualization - Charts"}
# Implementing Syncfusion Sparkline ## When to Use This Skill Use this skill when you need to: - **Create compact data visualizations** - Sparklines are very small charts that visualize data in a condensed format without axes or coordinates - **Integrate with ASP.NET Core applications** - Setting up Syncfusion Sparkline control in Razor pages or MVC applications - **Display temporal data trends** - Showing data patterns over time in minimal space (perfect for dashboards and grids) - **Highlight specific data points** - Using markers to show high, low, start, end, or negative values - **Support interactive data exploration** - Adding tooltips and track lines for user interactivity - **Meet accessibility requirements** - Ensuring WCAG 2.2 compliance and keyboard navigation support ## Component Overview The Syncfusion Sparkline is a lightweight chart component that presents common data shapes in a highly condensed format. Key characteristics: - **Consumes minimal space** - Perfect for dashboards and grid integrations - **Five chart types** - Line, Column, Area, Win-Loss, and Pie - **Visual enhancements** - Markers, data labels, range bands - **Interactive features** - Tooltips and track lines - **Customizable appearance** - Themes, colors, borders, padding - **Accessibility ready** - WCAG 2.2 AA compliant with keyboard shortcuts ## Documentation and Navigation Guide ### API Reference 📄 **Read:** [references/api-reference.md](references/api-reference.md) - Complete Sparkline class API documentation (40+ properties) - SparklineAxisSettings, ContainerArea, Padding, Border configuration - MarkerSettings for point highlighting (All, Start, End, High, Low, Negative) - DataLabelSettings for label configuration and positioning - TooltipSettings for interactive tooltips with custom templates - RangeBandSettings for highlighting value ranges - TrackLineSettings for mouse tracking lines - Five SparklineType options (Line, Column, Area, Win-Loss, Pie) - SparklineValueType options (Numeric, Category, DateTime) - Theme support (Material, Fabric, Bootstrap, HighContrast) - RangePadding options (None, Normal, Additional, Round) - Comprehensive events reference (Load, Loaded, AxisRendering, SeriesRendering, etc.) - User interaction events (SparklineMouseClick, PointRegionMouseMove, etc.) - Data rendering events (PointRendering, MarkerRendering, DataLabelRendering, TooltipInitialize) - Usage patterns for all sparkline types with code examples - Official Syncfusion API reference links ### Getting Started 📄 **Read:** [references/getting-started.md](references/getting-started.md) - ASP.NET Core project setup requirements - NuGet package installation (Syncfusion.EJ2.AspNet.Core) - TagHelper configuration and script manager registration - Creating your first sparkline - Data source binding and initialization - Changing sparkline types - Enabling tooltips ### Sparkline Types & Configuration 📄 **Read:** [references/sparkline-types.md](references/sparkline-types.md) - Five chart type options (Line, Column, Area, Win-Loss, Pie) - When to use each type for different data scenarios - Implementation patterns for each sparkline type - Code examples for all type variations ### Data Features & Customization 📄 **Read:** [references/data-features.md](references/data-features.md) - Data binding approaches and data source preparation - Adding markers (All, Start, End, High, Low, Negative) - Customizing marker appearance (fill, border, size, opacity) - Data labels configuration and point selection - Range bands for highlighting value ranges - Data label customization (fill, border, text style) - Formatting data label text ### Appearance & Theming 📄 **Read:** [references/appearance-theming.md](references/appearance-theming.md) - Container area border and padding configuration - Background color customization - Theme selection (Material, Fabric, Bootstrap, Highcontrast) - Text color and data label appearance by theme - Size and spacing adjustments - CSS customization approaches ### User Interaction & Tooltips 📄 **Read:** [references/user-interaction.md](references/user-interaction.md) - Tooltip implementation and module injection - Tooltip customization (fill, text style, format, border) - Tooltip templates with custom HTML - Track line configuration and behavior - Mouse-based point tracking - Tooltip formatting options ### Accessibility & Deployment 📄 **Read:** [references/accessibility-deployment.md](references/accessibility-deployment.md) - WCAG 2.2 AA compliance and standards adherence - Section 508 support and screen reader compatibility - Keyboard navigation shortcuts (Ctrl+P for printing) - WAI-ARIA attributes and patterns - Right-to-left (RTL) language support - Color contrast and mobile device considerations - Accessibility validation tools and checklist ## Quick Start Example Here's a minimal sparkline implementation: ```csharp // Controller: Index.cs public class DataSource { public int x { get; set; } public string xval { get; set; } public double yval { get; set; } public static List<DataSource> GetData() { List<DataSource> data = new List<DataSource>(); data.Add(new DataSource() { x = 0, xval = "2020", yval = 2000 }); data.Add(new DataSource() { x = 1, xval = "2021", yval = 3000 }); data.Add(new DataSource() { x = 2, xval = "2022", yval = 2500 }); data.Add(new DataSource() { x = 3, xval = "2023", yval = 4000 }); return data; } } ``` ```cshtml <!-- View: Index.cshtml --> <ejs-sparkline id="sparkline" type="Line" dataSource="ViewBag.DataPoints"> <e-sparkline-tooltipsettings visible="true"></e-sparkline-tooltipsettings> </ejs-sparkline> ``` ## Common Patterns ### Pattern 1: Dashboard Summary Sparklines Use compact Line sparklines in dashboard summary cards to show key metric trends at a glance. ### Pattern 2: Grid Integration Embed sparklines within grid columns to visualize data distribution across rows without excessive space consumption. ### Pattern 3: Status Indicators with Win-Loss Use Win-Loss sparklines to show success/failure patterns or positive/negative outcomes in historical data. ### Pattern 4: Financial Charts Use Column sparklines for revenue/expense comparisons, and Area sparklines for cumulative financial trends. ### Pattern 5: Data Point Highlighting Combine markers and range bands to emphasize exceptional values (high/low points) and target ranges. ## Key Properties | Property | Purpose | Example | |----------|---------|---------| | `type` | Sets sparkline chart type | `type="Line"` | | `dataSource` | Binds data to sparkline | `dataSource="@ViewBag.Data"` | | `xName` | X-axis data field | `xName="xval"` | | `yName` | Y-axis data field | `yName="yval"` | | `theme` | Sets color theme | `theme="Material"` | | `markerSettings.visible` | Shows markers at points | `visible="All"` | | `dataLabelSettings.visible` | Displays data labels | `visible="All"` | | `tooltipSettings.visible` | Enables tooltips | `visible="true"` | | `trackLineSettings.visible` | Shows track line on hover | `visible="true"` | ## Common Use Cases 1. **Financial Dashboards**: Show revenue trends using Area sparklines in summary widgets 2. **KPI Monitoring**: Display performance metrics with Line sparklines and highlighted range bands 3. **Data Tables**: Add sparklines to grid columns showing sales history or performance over time 4. **Status Reports**: Use Win-Loss sparklines to visualize project outcomes or test results 5. **Mobile Dashboards**: Utilize compact Pie sparklines for portfolio allocation or category distribution
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