# Apache ECharts

## Docs

- [echarts.connect()](https://mintlify.wiki/apache/echarts/api/connect.md): Connect multiple ECharts instances for synchronized interactions
- [dispatchAction()](https://mintlify.wiki/apache/echarts/api/dispatch-action.md): Trigger chart actions and interactions programmatically
- [echarts.dispose()](https://mintlify.wiki/apache/echarts/api/dispose.md): Dispose an ECharts instance and release resources
- [ECharts Instance](https://mintlify.wiki/apache/echarts/api/echarts-instance.md): Overview of the ECharts instance API and its methods
- [getOption()](https://mintlify.wiki/apache/echarts/api/get-option.md): Retrieve the current chart configuration
- [echarts.init()](https://mintlify.wiki/apache/echarts/api/init.md): Initialize an ECharts instance on a DOM element
- [on() and off()](https://mintlify.wiki/apache/echarts/api/on-off.md): Bind and unbind event handlers to chart interactions
- [Global Configuration Options](https://mintlify.wiki/apache/echarts/api/options/global.md): Global configuration options for Apache ECharts including title, legend, tooltip, grid, and more
- [Series Options](https://mintlify.wiki/apache/echarts/api/options/series.md): Overview of all available series types and common series configuration options in Apache ECharts
- [TypeScript Type Definitions](https://mintlify.wiki/apache/echarts/api/options/types.md): TypeScript type definitions and interfaces for Apache ECharts options
- [resize()](https://mintlify.wiki/apache/echarts/api/resize.md): Resize the chart to fit its container or specified dimensions
- [setOption()](https://mintlify.wiki/apache/echarts/api/set-option.md): Configure chart options and update the visualization
- [echarts.use()](https://mintlify.wiki/apache/echarts/api/use.md): Register ECharts extensions, components, and features
- [Changelog](https://mintlify.wiki/apache/echarts/changelog.md): Apache ECharts version history and release notes
- [Bar Chart](https://mintlify.wiki/apache/echarts/charts/bar.md): Display categorical data with rectangular bars in Apache ECharts
- [Boxplot Chart](https://mintlify.wiki/apache/echarts/charts/boxplot.md): Statistical visualization for displaying data distribution with quartiles
- [Candlestick Chart](https://mintlify.wiki/apache/echarts/charts/candlestick.md): Visualize financial data with candlestick (OHLC) charts in Apache ECharts
- [Chord Diagram](https://mintlify.wiki/apache/echarts/charts/chord.md): Visualize relationships and flows between interconnected entities in Apache ECharts
- [Custom Chart Type](https://mintlify.wiki/apache/echarts/charts/custom.md): Create fully customized visualizations with complete control over rendering using the custom series type
- [Effect Scatter Chart](https://mintlify.wiki/apache/echarts/charts/effect-scatter.md): Visualize data points with animated ripple effects in Apache ECharts
- [Funnel Chart](https://mintlify.wiki/apache/echarts/charts/funnel.md): Display data in a funnel or pyramid visualization to show progressive reduction or stages in a process
- [Gauge Chart](https://mintlify.wiki/apache/echarts/charts/gauge.md): Create circular gauge visualizations to display metrics, progress, and KPI dashboards
- [Graph/Network Chart](https://mintlify.wiki/apache/echarts/charts/graph.md): Visualize relationships and connections between entities using graph/network charts
- [Heatmap Chart](https://mintlify.wiki/apache/echarts/charts/heatmap.md): Visualize matrix data with color-coded cells
- [Line Chart](https://mintlify.wiki/apache/echarts/charts/line.md): Display trends and changes over time with line charts in Apache ECharts
- [Lines Chart](https://mintlify.wiki/apache/echarts/charts/lines.md): Visualize connections, flows, and routes between points in Apache ECharts
- [Map Chart](https://mintlify.wiki/apache/echarts/charts/map.md): Visualize geographic data on interactive maps with regions, markers, and data overlays
- [Parallel Coordinates Chart](https://mintlify.wiki/apache/echarts/charts/parallel.md): Multi-dimensional data visualization with parallel axes
- [Pictorial Bar Chart](https://mintlify.wiki/apache/echarts/charts/pictorial-bar.md): Create symbol-based bar charts with custom shapes in Apache ECharts
- [Pie Chart](https://mintlify.wiki/apache/echarts/charts/pie.md): Display proportional data with circular pie charts in Apache ECharts
- [Radar Chart](https://mintlify.wiki/apache/echarts/charts/radar.md): Multi-dimensional data visualization in a radial layout
- [Sankey Diagram](https://mintlify.wiki/apache/echarts/charts/sankey.md): Visualize flow and distribution between nodes using weighted connections
- [Scatter Chart](https://mintlify.wiki/apache/echarts/charts/scatter.md): Visualize relationships and distributions with scatter plots in Apache ECharts
- [Sunburst Chart](https://mintlify.wiki/apache/echarts/charts/sunburst.md): Visualize hierarchical data in a radial, multi-level ring layout
- [Theme River Chart](https://mintlify.wiki/apache/echarts/charts/theme-river.md): Visualize temporal topic trends and stream data in Apache ECharts
- [Tree Chart](https://mintlify.wiki/apache/echarts/charts/tree.md): Display hierarchical data structures with expandable/collapsible tree visualizations
- [Treemap Chart](https://mintlify.wiki/apache/echarts/charts/treemap.md): Visualize hierarchical data using nested rectangles with size-based encoding
- [Angle Axis](https://mintlify.wiki/apache/echarts/components/angle-axis.md): Configure the angle axis for polar coordinate charts in Apache ECharts
- [Brush Component](https://mintlify.wiki/apache/echarts/components/brush.md): Interactive area selection for data filtering and highlighting
- [Calendar](https://mintlify.wiki/apache/echarts/components/calendar.md): Configure the calendar coordinate system for displaying time-series data in a calendar layout
- [Data Zoom Component](https://mintlify.wiki/apache/echarts/components/data-zoom.md): Interactive data zooming and panning for exploring large datasets
- [Geo](https://mintlify.wiki/apache/echarts/components/geo.md): Configure the geographic coordinate system for creating map-based visualizations with GeoJSON or SVG sources
- [Grid](https://mintlify.wiki/apache/echarts/components/grid.md): Configure the Cartesian grid coordinate system for positioning and sizing charts with x and y axes
- [Legend Component](https://mintlify.wiki/apache/echarts/components/legend.md): Display legend items for data series identification and interactive selection
- [Mark Area Component](https://mintlify.wiki/apache/echarts/components/mark-area.md): Highlight regions or ranges in charts with shaded areas
- [Mark Line Component](https://mintlify.wiki/apache/echarts/components/mark-line.md): Draw reference lines to mark specific values or ranges in charts
- [Mark Point Component](https://mintlify.wiki/apache/echarts/components/mark-point.md): Highlight specific data points with symbols and labels
- [Parallel Coordinates](https://mintlify.wiki/apache/echarts/components/parallel-coordinates.md): Configure the parallel coordinate system for visualizing high-dimensional data with multiple parallel axes
- [Polar](https://mintlify.wiki/apache/echarts/components/polar.md): Configure the polar coordinate system for creating circular charts with radius and angle axes
- [Radius Axis](https://mintlify.wiki/apache/echarts/components/radius-axis.md): Configure the radius axis for polar coordinate charts in Apache ECharts
- [Timeline Component](https://mintlify.wiki/apache/echarts/components/timeline.md): Enable time-based navigation and animation through multiple chart options
- [Title Component](https://mintlify.wiki/apache/echarts/components/title.md): Display chart title and subtitle with customizable positioning and styling
- [Toolbox Component](https://mintlify.wiki/apache/echarts/components/toolbox.md): Collection of utility tools for chart interaction and data operations
- [Tooltip Component](https://mintlify.wiki/apache/echarts/components/tooltip.md): Interactive tooltip for displaying detailed data information on hover or click
- [Visual Map Component](https://mintlify.wiki/apache/echarts/components/visual-map.md): Map data values to visual properties like color, size, and opacity
- [X-Axis](https://mintlify.wiki/apache/echarts/components/x-axis.md): Configure the X-axis for Cartesian coordinate charts in Apache ECharts
- [Y-Axis](https://mintlify.wiki/apache/echarts/components/y-axis.md): Configure the Y-axis for Cartesian coordinate charts in Apache ECharts
- [Coordinate Systems](https://mintlify.wiki/apache/echarts/concepts/coordinate-systems.md): Understanding the different coordinate systems in Apache ECharts and when to use each one
- [Dataset Component](https://mintlify.wiki/apache/echarts/concepts/dataset.md): Learn how to use the dataset component for efficient data management and transformation in Apache ECharts
- [Event Handling and Interactions](https://mintlify.wiki/apache/echarts/concepts/event-handling.md): Learn how to handle user interactions and events in Apache ECharts using the on/off API
- [Options Configuration System](https://mintlify.wiki/apache/echarts/concepts/options.md): Learn how to configure Apache ECharts using the setOption API and option objects
- [Canvas and SVG Rendering](https://mintlify.wiki/apache/echarts/concepts/rendering.md): Understanding Canvas and SVG renderers in Apache ECharts and how to choose between them
- [Contributing to Apache ECharts](https://mintlify.wiki/apache/echarts/contributing.md): Guidelines for contributing to the Apache ECharts project
- [Getting Started Examples](https://mintlify.wiki/apache/echarts/examples/getting-started.md): Basic examples for beginners learning Apache ECharts
- [Large Dataset Optimization](https://mintlify.wiki/apache/echarts/examples/large-datasets.md): Handle millions of data points with progressive rendering and sampling
- [Mobile-Responsive Charts](https://mintlify.wiki/apache/echarts/examples/mobile.md): Create touch-friendly, responsive charts for mobile devices
- [Real-time Data Updates](https://mintlify.wiki/apache/echarts/examples/real-time-data.md): Dynamic chart updates with live data streams
- [Baidu Map Extension](https://mintlify.wiki/apache/echarts/extensions/bmap.md): Integrate Baidu Maps with Apache ECharts for geographic visualizations
- [ECharts GL](https://mintlify.wiki/apache/echarts/extensions/echarts-gl.md): 3D visualization extension for Apache ECharts
- [Liquid Fill Chart](https://mintlify.wiki/apache/echarts/extensions/liquidfill.md): Liquid fill chart extension for Apache ECharts
- [Word Cloud](https://mintlify.wiki/apache/echarts/extensions/wordcloud.md): Word cloud extension for Apache ECharts
- [Accessibility Features](https://mintlify.wiki/apache/echarts/guides/accessibility.md): Implement ARIA labels and accessibility features to make Apache ECharts charts accessible to all users
- [Customization and Theming](https://mintlify.wiki/apache/echarts/guides/customization.md): Learn how to customize Apache ECharts with themes, colors, and visual styling options
- [Performance Optimization](https://mintlify.wiki/apache/echarts/guides/performance.md): Techniques for optimizing Apache ECharts performance with large datasets and complex visualizations
- [Responsive Design](https://mintlify.wiki/apache/echarts/guides/responsive-design.md): Build responsive charts that adapt to different screen sizes and orientations
- [Server-Side Rendering (SSR)](https://mintlify.wiki/apache/echarts/guides/server-side-rendering.md): Render Apache ECharts charts on the server using Node.js for improved performance and SEO
- [Installation](https://mintlify.wiki/apache/echarts/installation.md): Learn how to install Apache ECharts in your project
- [Introduction](https://mintlify.wiki/apache/echarts/introduction.md): Apache ECharts is a powerful, interactive charting and data visualization library for browser
- [Migrating from v4 to v5](https://mintlify.wiki/apache/echarts/migration/v4-to-v5.md): Complete guide to upgrading Apache ECharts from version 4 to version 5
- [Migrating from v5 to v6](https://mintlify.wiki/apache/echarts/migration/v5-to-v6.md): Complete guide to upgrading Apache ECharts from version 5 to version 6
- [Quick Start](https://mintlify.wiki/apache/echarts/quickstart.md): Create your first Apache ECharts chart in minutes
- [Built-in Themes](https://mintlify.wiki/apache/echarts/themes/built-in-themes.md): Explore all the built-in themes available in Apache ECharts
- [Creating Custom Themes](https://mintlify.wiki/apache/echarts/themes/custom-themes.md): Learn how to create and customize your own ECharts themes
- [Theming System Overview](https://mintlify.wiki/apache/echarts/themes/overview.md): Learn how to use themes in Apache ECharts to customize the appearance of your charts