Part-to-whole

Sunburst chart

Use a sunburst chart for hierarchical part-to-whole data shown as concentric rings, like revenue by region and then by country within region. Each ring represents a level of the hierarchy, so you can read both the overall composition and the drill-down in one view. For a hierarchy where rectangular area is easier to compare than ring segments, a treemap is often the better fit.

Minimal dvt spec

The panel body for a sunburst chart. Add an id and title of your own; the sample data is inline, so it renders the moment you paste it into a dvt dashboard. Point it at your warehouse by swapping that sample data for a data block whose query returns the same shape.

View spec

{
  "type": "chart:sunburst",
  "spec": {
    "series": [
      {
        "type": "sunburst",
        "data": [
          {
            "name": "NA",
            "value": 50,
            "children": [
              {
                "name": "US",
                "value": 38
              },
              {
                "name": "CA",
                "value": 12
              }
            ]
          },
          {
            "name": "EMEA",
            "value": 34
          },
          {
            "name": "APAC",
            "value": 22
          }
        ]
      }
    ]
  }
}

Customize

Every control in dvt's edit tray writes a field of this spec; the variants below change the minimal spec above, and the reference below lists every control and ChartSpec field this type accepts.

Segment colors with labels

Pin a color to each top-level segment and label every ring.

What changed

 {
   "type": "chart:sunburst",
   "spec": {
     "series": [
       {
         "type": "sunburst",
         "data": [
           {
             "name": "NA",
             "value": 50,
             "children": [
               {
                 "name": "US",
                 "value": 38
               },
               {
                 "name": "CA",
                 "value": 12
               }
             ]
           },
           {
             "name": "EMEA",
             "value": 34
           },
           {
             "name": "APAC",
             "value": 22
           }
-        ]
+        ],
+        "label": {
+          "show": true
+        }
       }
-    ]
+    ],
+    "categoryColors": {
+      "NA": "#4F46E5",
+      "EMEA": "#E0A93B",
+      "APAC": "#1F9E96"
+    }
   }
 }

Full spec

{
  "type": "chart:sunburst",
  "spec": {
    "series": [
      {
        "type": "sunburst",
        "data": [
          {
            "name": "NA",
            "value": 50,
            "children": [
              {
                "name": "US",
                "value": 38
              },
              {
                "name": "CA",
                "value": 12
              }
            ]
          },
          {
            "name": "EMEA",
            "value": 34
          },
          {
            "name": "APAC",
            "value": 22
          }
        ],
        "label": {
          "show": true
        }
      }
    ],
    "categoryColors": {
      "NA": "#4F46E5",
      "EMEA": "#E0A93B",
      "APAC": "#1F9E96"
    }
  }
}

Everything you can set

Control	Layer	Where it lands
Data
Hierarchy levels	Core	`spec.hierarchyFields`
Value column	Core	`spec.valueField`
Style
Segment colors	Core	`spec.categoryColors`
Color scheme	Core	`spec.palette`
Labels
Show data labels	ECharts	`spec.series[].label.show`

Chart spec fields

Every chart type accepts these ChartSpec fields. Most are dvt spec fields the renderer compiles for you. grid passes straight through to ECharts; series mixes ECharts series options with dvt's dataField; and any key on xAxis, yAxis, legend, or tooltip that is not a documented dvt key passes through too.

Field	What it does
`xAxis`	One axis, or an array of axes, via `AxisSpec`: type, name, min, max, scale, log, and label formatting.
`yAxis`	Same shape as `xAxis`, for the value axis: type, name, min, max, scale, log, and label formatting.
`series`	Per-series overrides: `type`, `dataField`, `name`, `stack`, `smooth`, `itemStyle`, `lineStyle`, `areaStyle`, `label`.
`legend`	Show or hide the legend, set its position, and format an aggregated value shown next to each entry.
`tooltip`	Choose which fields appear, a totals row, field order, a custom template, and crosshair behavior.
`grid`	A raw ECharts grid box (`left`, `right`, `top`, `bottom`, `containLabel`), passed through unmodified.
`funnelRate`	Show a conversion-rate label on a funnel: `step`, `overall`, `total`, or `none`, with a `precision`.
`label`	Data labels: `show`, `position`, `format`, a derived value (percent of total, delta), rotation, size, color.
`gridlines`	Toggle and style gridlines per axis: `show`, dashed or solid `style`, `width`, and `color`.
`banding`	Alternating background bands along one axis, to make long rows or columns easier to scan.
`plotArea`	Set the plot area's background fill and border color.
`gridPadding`	Explicit `left`, `right`, `top`, and `bottom` padding around the plot area, each a number or a string.
`density`	Overall plot density: `comfortable` (default spacing) or `compact` (tighter margins).
`palette`	Name a registered color scheme to apply to the series, instead of the default categorical colors.
`categoryColors`	Map specific category values to explicit colors, overriding the palette for just those categories.
`colorRules`	Apply a color to a data point the first time one of its ordered `when` conditions matches.
`colorScale`	A continuous color scale (`sequential`, `diverging`, or `piecewise`) with a scheme, domain, and buckets.
`annotations`	Fixed or computed reference lines, bands, points, or text, placed at an axis value or a stat of a field.
`trendline`	Overlay a fitted trend line: `true` for a default linear fit, or an object naming the method and order.
`footnotes`	Up to 50 footnote entries, each a marker plus explanatory text, rendered below the chart.
`sourceNote`	A single line of source-attribution text rendered below the chart.

Build it in dvt

Every chart type on this site is a few lines of the same declarative JSON spec. Read the full spec format, or connect an AI agent to your warehouse and build one live in the quickstart.

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