Statistical

Gauge chart

Use a gauge chart for a single value against a known range with clear status zones, like SLA compliance or budget burn rate, where the color of the zone communicates status instantly. Use it sparingly: a labeled number with a sparkline usually communicates the same information more precisely in less space. Avoid using more than one or two gauges on a single dashboard; the arc encoding doesn't scale to density.

Minimal dvt spec

The panel body for a gauge 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:gauge",
  "data": {
    "rows": [
      {
        "metric": "NPS",
        "value": 73
      }
    ]
  },
  "spec": {
    "series": [
      {
        "type": "gauge",
        "max": 100
      }
    ]
  }
}

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.

Palette on a progress arc

Author a progress arc, apply the set2 palette so the arc takes its first color, and hide the numeric readout.

What changed

 {
   "type": "chart:gauge",
   "data": {
     "rows": [
       {
         "metric": "NPS",
         "value": 73
       }
     ]
   },
   "spec": {
     "series": [
       {
         "type": "gauge",
-        "max": 100
+        "max": 100,
+        "progress": {
+          "show": true,
+          "width": 12
+        },
+        "axisLine": {
+          "lineStyle": {
+            "width": 12,
+            "color": [
+              [
+                1,
+                "#EEF2FF"
+              ]
+            ]
+          }
+        },
+        "pointer": {
+          "show": false
+        },
+        "detail": {
+          "show": false
+        }
       }
-    ]
+    ],
+    "palette": "set2"
   }
 }

Full spec

{
  "type": "chart:gauge",
  "data": {
    "rows": [
      {
        "metric": "NPS",
        "value": 73
      }
    ]
  },
  "spec": {
    "series": [
      {
        "type": "gauge",
        "max": 100,
        "progress": {
          "show": true,
          "width": 12
        },
        "axisLine": {
          "lineStyle": {
            "width": 12,
            "color": [
              [
                1,
                "#EEF2FF"
              ]
            ]
          }
        },
        "pointer": {
          "show": false
        },
        "detail": {
          "show": false
        }
      }
    ],
    "palette": "set2"
  }
}

Everything you can set

Control	Layer	Where it lands
Style
Series color	Core	`overrides.chart.series.1`
Labels
Show data labels	ECharts	`spec.series[].detail.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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