| name | syncfusion-react-charts |
| description | Implement Syncfusion React Charts component for data visualization. Use this when creating charts, configuring axes and series, or customizing visualization styles. This skill covers chart types, data binding, user interactions, financial indicators, accessibility features, and professional data visualization in React applications. |
| metadata | {"author":"Syncfusion Inc","version":"33.1.44","category":"Charts"} |
Implementing Syncfusion React Charts
When to Use This Skill
Use this skill when you need to:
- Create and render charts (area, bar, column, line, scatter, etc.)
- Configure chart axes and customize their appearance
- Bind local data, remote data (DataManager), or use OData/WebAPI/custom adaptors
- Dynamically add, remove, or replace data points (
addPoint, removePoint, setData)
- Customize chart appearance (colors, labels, legends, annotations)
- Configure data labels (must be placed inside
marker.dataLabel, not directly on the series)
- Implement user interactions (selection, zooming, tooltips)
- Add financial indicators and technical analysis
- Handle accessibility and internationalization
- Troubleshoot chart rendering or data issues
Component Overview
Syncfusion React Chart is a powerful data visualization component that supports 20+ chart types with extensive customization options. It's designed for building professional dashboards, reports, and analytics applications with interactive features like zooming, selection, and tooltips.
Key Capabilities:
- 20+ chart types (cartesian, polar, radar, pie, doughnut, and more)
- Multiple axes (category, numeric, date-time, logarithmic)
- Financial indicators and candlestick charts
- Advanced interactions (zoom, pan, crosshair, tooltip)
- Responsive design and accessibility support
- Print and export functionality
Documentation and Navigation Guide
API Reference
📄 Read: references/api-reference.md
- Complete ChartComponent properties reference
- All methods and events documentation
- SeriesDirective properties
- Model interfaces (AxisModel, ZoomSettingsModel, etc.)
- Module services (series types, features, indicators)
- Official API documentation links
Getting Started
📄 Read: references/getting-started.md
- Installation and package setup
- Creating your first chart
- CSS imports and theme configuration
- Rendering basic chart examples
- Package structure overview
Chart Types
📄 Read: references/chart-types.md
- Overview of 20+ supported chart types
- When to use each chart type
- Basic examples for common types (Line, Bar, Column, Area, Scatter)
- Type-specific configurations
- Choosing the right chart for your data
Axes and Customization
📄 Read: references/axes-and-customization.md
- Category, numeric, date-time, and logarithmic axes
- Axis labels and formatting
- Multiple axes configuration
- Range and interval settings
- Axis crossing and positioning
Series and Data Binding
📄 Read: references/series-and-data.md
- Series configuration and properties
- Local data binding patterns
- Remote data binding using
DataManager
- Data adaptors:
ODataAdaptor, ODataV4Adaptor, WebApiAdaptor, custom adaptors
- Offline mode and lazy loading
- Dynamic data updates via
addPoint, removePoint, setData, or React state
- Multiple series handling
- Data validation and edge cases
Appearance and Styling
📄 Read: references/appearance-and-styling.md
- Legend configuration and positioning
- Data labels and formatting
- Chart annotations
- Gradients and color customization
- Title, subtitle, and description styling
User Interactions
📄 Read: references/user-interaction.md
- Selection and highlighting
- Zooming and panning
- Tooltip and crosshair configuration
- Synchronized charts
- Event handling patterns
Advanced Features
📄 Read: references/advanced-features.md
- Financial chart types (candlestick, HLOC, high-low)
- Technical indicators (moving average, trend lines, etc.)
- Multiple panes and indicator panes
- Accessibility (WCAG compliance, keyboard navigation)
- Internationalization and localization
Quick Start Example
import { ChartComponent, SeriesCollectionDirective, SeriesDirective, Inject, LineSeries, Category, Legend, Tooltip } from '@syncfusion/ej2-react-charts';
export default function BasicChart() {
const data = [
{ x: 'Jan', y: 35 },
{ x: 'Feb', y: 28 },
{ x: 'Mar', y: 34 },
{ x: 'Apr', y: 32 },
{ x: 'May', y: 40 }
];
return (
<ChartComponent id='charts'>
<Inject services={[LineSeries, Category, Legend, Tooltip]} />
<SeriesCollectionDirective>
<SeriesDirective dataSource={data} xName='x' yName='y' type='Line' />
</SeriesCollectionDirective>
</ChartComponent>
);
}
Common Patterns
Pattern 1: Multi-Series Chart
When displaying multiple datasets that share the same axes, add multiple SeriesDirective components within SeriesCollectionDirective:
<SeriesCollectionDirective>
<SeriesDirective dataSource={salesData} xName='month' yName='revenue' type='Column' />
<SeriesDirective dataSource={profitData} xName='month' yName='profit' type='Column' />
</SeriesCollectionDirective>
Pattern 2: Dynamic Data Updates
Three approaches depending on the use case:
a) React state (simple re-render):
const [data, setData] = useState(initialData);
const handleDataUpdate = () => {
setData(prev => [...prev, { x: 'Jun', y: 45 }]);
};
<SeriesDirective dataSource={data} xName='x' yName='y' type='Line' />
b) addPoint / removePoint / setData (imperative, with animation):
const chartRef = useRef(null);
chartRef.current.series[0].addPoint({ x: 'Jun', y: 45 }, 300);
chartRef.current.series[0].removePoint(0, 300);
chartRef.current.series[0].setData(newDataArray, 500);
<ChartComponent ref={chartRef} ...>
<SeriesDirective dataSource={data} xName='x' yName='y' type='Line' />
</ChartComponent>
Pattern 3: Remote Data Binding
Use DataManager with an adaptor to bind data from a REST API or OData service:
import { DataManager, Query, WebApiAdaptor } from '@syncfusion/ej2-data';
const dataManager = new DataManager({
url: 'your data source URL link',
adaptor: new WebApiAdaptor()
});
<SeriesDirective dataSource={dataManager} xName='CustomerID' yName='Freight' type='Column' query={new Query()} />
Other adaptors: ODataAdaptor (OData v3), ODataV4Adaptor (OData v4), custom adaptor by extending ODataAdaptor.
Pattern 4: Data Labels (inside marker)
Data labels must be placed inside marker.dataLabel, not directly on the series. Inject DataLabel service:
<Inject services={[LineSeries, Category, DataLabel]} />
<SeriesDirective
dataSource={data}
xName='x'
yName='y'
type='Line'
marker={{
visible: true,
dataLabel: { visible: true, position: 'Top' }
}}
/>
Pattern 5: Custom Tooltips
Enhance user experience with formatted tooltip templates:
<ChartComponent tooltip={{ enable: true, template: '<div>${point.x}: ${point.y}</div>' }}>
Pattern 6: Responsive Design
Use container styling to make charts responsive:
<ChartComponent id='charts' width='100%' height='400px'>
{}
</ChartComponent>
Key Props Reference
ChartComponent
| Prop | Type | Purpose | When to Use |
|---|
id | string | Unique identifier | Required for each chart |
width | string | Chart width (px or %) | Control layout sizing |
height | string | Chart height | Set explicit dimensions |
title | string | Chart title | Display main heading |
tooltip | object | Tooltip configuration | Interactive data inspection |
primaryXAxis | object | Primary X-axis config | Define horizontal axis |
primaryYAxis | object | Primary Y-axis config | Define vertical axis |
SeriesDirective
| Prop | Type | Purpose | When to Use |
|---|
dataSource | array | DataManager | Data source | Bind local array or remote DataManager |
xName | string | X-axis property | Map data field to X |
yName | string | Y-axis property | Map data field to Y |
type | string | Chart type | Select visualization type |
fill | string | Series color | Customize series color |
marker | object | Marker + data label config | Show point markers and/or data labels (marker.dataLabel) |
name | string | Series name | Display in legend |
query | Query | DataManager query | Filter/sort/paginate remote data |
Common Use Cases
- Sales Dashboard: Combine column chart for revenue with line series for trends
- Time Series Analysis: Use date-time axis with line chart for temporal data
- Comparative Analysis: Multi-series column charts comparing categories
- Financial Analysis: Candlestick chart with moving average indicators
- Distribution Analysis: Histogram or box-whisker charts for statistical data
- Real-time Monitoring: Use
addPoint/removePoint for live feeds with smooth animation
- Remote Data from REST API: Bind
DataManager with WebApiAdaptor or ODataAdaptor directly to series
- Server-side OData: Use
ODataV4Adaptor with a Query to filter and paginate at the server
Next Steps
Choose the reference that matches your current need:
External Resources