Gauge and Funnel Charts
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When working with gauge and funnel charts in ECharts, you can tailor them to better represent your data and dashboard needs.
For gauge charts, which are ideal for showing a single KPI such as server usage or performance levels, customization often involves setting thresholds and color mapping:
- Define color segments along the gauge's axis to visually indicate safe, warning, or critical ranges;
- Adjust the
min,max, andsplitNumberto suit your metric's range; - Use the
axisLine'scolorproperty to map specific value intervals to distinct colors.
This approach helps users quickly assess the KPI's status.
Funnel charts are designed to visualize processes with decreasing stages, such as sales or conversion funnels:
- Customize the funnel's appearance by adjusting the width, gap, and sorting of the segments;
- Color-code or label each stage for clarity;
- Order and size stages to help users easily identify where drop-offs occur in the process;
- Map values to each stage and use clear labels to make the chart more informative and actionable for dashboard viewers.
By applying these customizations, you create charts that are both visually engaging and directly useful for monitoring KPIs and process flows.
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Gauge and Funnel Charts
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index.html
script.js
When working with gauge and funnel charts in ECharts, you can tailor them to better represent your data and dashboard needs.
For gauge charts, which are ideal for showing a single KPI such as server usage or performance levels, customization often involves setting thresholds and color mapping:
- Define color segments along the gauge's axis to visually indicate safe, warning, or critical ranges;
- Adjust the
min,max, andsplitNumberto suit your metric's range; - Use the
axisLine'scolorproperty to map specific value intervals to distinct colors.
This approach helps users quickly assess the KPI's status.
Funnel charts are designed to visualize processes with decreasing stages, such as sales or conversion funnels:
- Customize the funnel's appearance by adjusting the width, gap, and sorting of the segments;
- Color-code or label each stage for clarity;
- Order and size stages to help users easily identify where drop-offs occur in the process;
- Map values to each stage and use clear labels to make the chart more informative and actionable for dashboard viewers.
By applying these customizations, you create charts that are both visually engaging and directly useful for monitoring KPIs and process flows.
Danke für Ihr Feedback!