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echarts-pro
Build rich visualizations with Apache ECharts: option config, dataset transforms, large-data performance, and custom rendering. Use for complex dashboards and big datasets.
skills/echarts-pro/SKILL.md
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# ECharts Pro
A practical guide to Apache ECharts: the declarative, canvas/SVG-rendered charting library that scales from simple bars to million-point visualizations — option configuration, datasets, visual mapping, large-data strategies, and custom series.
## Overview
ECharts is **declarative**: you describe the chart as a JSON-ish `option` object (`{ xAxis, yAxis, series }`) and call `chart.setOption(option)`. This makes charts serializable, diffable, and easy to generate from data pipelines. Its strengths: enormous chart-type coverage (including geo, graph, sankey, candlestick, heatmap), built-in data transforms, and serious large-dataset performance (incremental rendering, sampling).
## When to use
- Complex dashboards: mixed chart types, rich interactions (brush, dataZoom, toolbox).
- Large datasets (100k+ points) needing sampling/incremental render.
- Geo visualizations, network graphs, sankeys, Gantt-like timelines.
- When charts are generated from data (option objects serialize cleanly).