svg-visuals

SVG Visuals via DAX Measures (PBIR)

Report modification requires tooling. Two paths exist:

1. pbir CLI (preferred) -- use the pbir command and the pbir-cli skill. Install with uv tool install pbir-cli or pip install pbir-cli. Check availability with pbir --version.
2. Direct JSON modification -- if pbir is not available, use the pbir-format skill (pbip plugin) for PBIR JSON structure and patterns. Validate every change with jq empty <file.json>.

If neither the pbir-cli skill nor the pbir-format skill is loaded, ask the user to install the appropriate plugin before proceeding with report modifications.

Generate inline SVG graphics using DAX measures that return SVG markup strings. These render as images in table, matrix, card, image, and slicer visuals. Store as extension measures in reportExtensions.json.

How It Works

1. A DAX measure returns an SVG string prefixed with data:image/svg+xml;utf8,
2. The measure's dataCategory is set to ImageUrl
3. Power BI renders the SVG as an image in supported visuals

Supported Visuals

Visual	visualType	Binding	Reference
Table	tableEx	grid.imageHeight / grid.imageWidth	references/svg-table-matrix.md
Matrix	pivotTable	Same as table	references/svg-table-matrix.md
Image	image	sourceType='imageData' + sourceField	references/svg-image-visual.md
Card (New)	cardVisual	callout.imageFX	references/svg-card-slicer.md
Slicer (New)	advancedSlicerVisual	Header images	references/svg-card-slicer.md

Workflow: Creating an SVG Measure

Step 0: Design and Preview

Before writing DAX, design the SVG visually:

1. Query the model first -- use DAX Studio or Tabular Editor CLI to get actual values with the intended filter context. Use real numbers, not placeholders.
2. Write static SVG to a temp file -- save to /tmp/mockup.svg and open it in a browser to preview layout, colors, and proportions.
3. Ask for feedback before converting to DAX -- iterating on static SVG is far easier than on DAX string concatenation.
4. Colors must be hex codes with # -- e.g., fill='#2B7A78'. Never use %23 URL encoding or named colors. Always hex.

Step 1: Create the Extension Measure

Create the extension measure in reportExtensions.json manually (see the pbir-format skill in the pbip plugin for JSON structure).

# Example using pbir_object_model (if available):
report.add_extension_measure(
    table="Orders",
    name="Sparkline SVG",
    expression='''
        VAR _Prefix = "data:image/svg+xml;utf8,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 100 30'>"
        VAR _Bar = "<rect x='0' y='0' width='50' height='30' fill='#2196F3'/>"
        VAR _Suffix = "</svg>"
        RETURN _Prefix & _Bar & _Suffix
    ''',
    data_type="Text",
    data_category="ImageUrl",
    display_folder="SVG Charts",
)
report.save()

Step 1b: Review

Before presenting the measure to the user, dispatch the svg-reviewer agent to validate syntax and provide design feedback.

Step 2: Bind to a Visual

Extension measures use "Schema": "extension" in the SourceRef:

{
  "field": {
    "Measure": {
      "Expression": {
        "SourceRef": {"Schema": "extension", "Entity": "Orders"}
      },
      "Property": "Sparkline SVG"
    }
  }
}

For image visuals, set sourceType='imageData' with sourceField in the visual.json (see references/svg-image-visual.md).

Step 3: Validate

Validate JSON syntax with jq empty <reportExtensions.json> and inspect the file to confirm measure definitions and data categories.

Prefer UDF Libraries Over Custom DAX

Before writing a custom SVG measure from scratch, check whether an existing UDF library already provides the chart type:

• PowerofBI.IBCS (Andrzej Leszkiewicz) -- IBCS-compliant bar, column, waterfall, pin, small multiples, and P&L charts. Preferred for business reporting with AC/PY/BU/FC comparisons. Install from https://daxlib.org/package/PowerofBI.IBCS/
• DaxLib.SVG (Jake Duddy) -- general-purpose sparklines, bars, boxplots, heatmaps, jitter, violin, progress bars, pills. Install from https://daxlib.org/package/DaxLib.SVG/ -- source at https://github.com/daxlib/dev-daxlib-svg
• PowerBI MacGuyver Toolbox (Stepan Resl / Data Goblins) -- C# scripts that generate SVG measures via Tabular Editor

To check if a library is installed, look for functions/measures starting with PowerofBI.IBCS., Viz., Compound., or Element.. Only write custom SVG DAX when no library function covers the required visualization. See references/community-examples.md for full function listings and additional libraries.

Installing UDF libraries

UDF libraries are installed into the semantic model, not the report. Use one of these tools:

• Tabular Editor CLI (te command) -- use the te-docs skill for guidance
• Power BI MCP server -- if available, use it to modify the model directly
• connect-pbid skill -- connect to Power BI Desktop's local Analysis Services instance via TOM/PowerShell
• tmdl skill -- edit TMDL files directly in a PBIP project (last resort)

DAX SVG Conventions

Measure Structure (VAR Pattern)

Every SVG measure must follow a strict VAR-based structure. Organize code into clearly separated regions:

SVG Measure =
-- CONFIG: Input fields and visual parameters
VAR _Actual = [Sales Amount]
VAR _Target = [Sales Target]
VAR _Scope = ALLSELECTED ( 'Product'[Category] )

-- CONFIG: Colors
VAR _BarColor = "#5B8DBE"
VAR _TargetColor = "#333333"

-- NORMALIZATION: Scale values to SVG coordinate space
VAR _AxisMax = CALCULATE( MAXX( _Scope, [Sales Amount] ), REMOVEFILTERS( 'Product'[Category] ) ) * 1.1
VAR _AxisRange = 100
VAR _ActualNormalized = DIVIDE( _Actual, _AxisMax ) * _AxisRange

-- SVG ELEMENTS: One VAR per visual element
VAR _SvgPrefix = "data:image/svg+xml;utf8,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 100 25'>"
VAR _Sort = "<desc>" & FORMAT( _Actual, "000000000000" ) & "</desc>"
VAR _Bar = "<rect x='0' y='5' width='" & _ActualNormalized & "' height='15' fill='" & _BarColor & "'/>"
VAR _TargetLine = "<rect x='" & DIVIDE( _Target, _AxisMax ) * _AxisRange & "' y='2' width='2' height='21' fill='" & _TargetColor & "'/>"
VAR _SvgSuffix = "</svg>"

-- ASSEMBLY: Combine in rendering order (back to front)
VAR _SVG = _SvgPrefix & _Sort & _Bar & _TargetLine & _SvgSuffix

RETURN _SVG

Key conventions:

• CONFIG section first -- input measures, scope column, colors, font settings. Users change only this section.
• NORMALIZATION section -- scale raw values to SVG coordinate space (see below)
• SVG ELEMENTS -- one VAR per <rect>, <circle>, <text>, <line>, etc.
• ASSEMBLY -- concatenate elements in document order (first = back layer, last = front)
• <desc> sort trick -- embed FORMAT(_Actual, "000000000000") in a <desc> tag so the table/matrix can sort by the SVG column

Axis Normalization (Critical)

SVG coordinates must be normalized to a fixed range. Raw measure values (e.g., 1,234,567) cannot be used directly as pixel coordinates. The standard pattern:

-- 1. Define the SVG coordinate range
VAR _BarMin = 0       -- leftmost position (or offset for labels)
VAR _BarMax = 100     -- rightmost position

-- 2. Find the maximum value across all rows in the visual's filter context
VAR _Scope = ALLSELECTED( 'Table'[GroupColumn] )
VAR _MaxInScope = CALCULATE( MAXX( _Scope, [Measure] ), REMOVEFILTERS( 'Table'[GroupColumn] ) )
VAR _AxisMax = _MaxInScope * 1.1   -- 10% padding

-- 3. Normalize each value to the SVG range
VAR _AxisRange = _BarMax - _BarMin
VAR _Normalized = DIVIDE( _Actual, _AxisMax ) * _AxisRange

Use ALLSELECTED for the scope when the chart should respond to slicer context. Use ALL for a fixed axis across all filter contexts. The * 1.1 padding prevents bars from touching the edge.

HASONEVALUE Guard

Table/matrix SVG measures must guard against subtotal/total rows where multiple categories are in scope:

IF( HASONEVALUE( 'Table'[GroupColumn] ),
    -- SVG code here
)

Without this guard, the measure evaluates on grand total rows with meaningless aggregated values.

Escaping and Color Rules

• Single quotes for SVG attributes -- avoids DAX double-quote escaping: fill='#2196F3'
• Double quotes in DAX: escape as "" (DAX convention)
• viewBox for responsive scaling: viewBox='0 0 100 25'
• xmlns required on <svg> element
• Hex colors with # only -- e.g., fill='#2196F3'. %23 URL encoding causes errors in image visuals. Never use named colors.
• No JavaScript -- SVG must be purely declarative

SVG Coordinate System

• Y=0 is at the top -- invert values for charts: _Height - _Value
• Use viewBox with a 0-100 range for normalized coordinates
• Elements render in document order (first = back, last = front)

CONCATENATEX for Series Data

For sparklines and multi-point charts, build coordinate strings with CONCATENATEX:

VAR _Points = CONCATENATEX(
    _SparklineTable,
    [X] & "," & (100 - [Y]),
    " ",
    [Date], ASC
)
-- Produces: "0,80 10,60 20,40 30,20"
-- Use in: <polyline points='...'/>

Best Practices

1. Check UDF libraries first -- use DaxLib.SVG or MacGuyver Toolbox functions before writing custom DAX
2. VAR pattern mandatory -- one VAR per config value, one VAR per SVG element, assembly at the end
3. Normalize all values -- raw measure values must be scaled to SVG coordinate range
4. HASONEVALUE guard -- always guard against total/subtotal rows in table/matrix context
5. <desc> sort trick -- embed formatted value in <desc> for sortable SVG columns
6. Use viewBox for responsive scaling instead of fixed width/height
7. Round coordinates to 1-2 decimal places for performance
8. Store as extension measures -- SVG measures don't belong in the semantic model
9. Use display_folder to organize SVG measures together (e.g., "SVG Charts")
10. Preview first -- save static SVG to /tmp/, open in browser, iterate before writing DAX
11. Limit complexity -- ~32K character limit on rendered SVG string (not DAX expression)
12. Hex colors only -- # directly, never %23 URL encoding
13. Image visuals need no query block -- only objects.image with sourceType='imageData' and sourceField

reportExtensions.json Format

{
  "$schema": "https://developer.microsoft.com/json-schemas/fabric/item/report/definition/reportExtension/1.0.0/schema.json",
  "name": "extension",
  "entities": [{
    "name": "ExistingTable",
    "measures": [{
      "name": "Sparkline SVG",
      "dataType": "Text",
      "dataCategory": "ImageUrl",
      "expression": "...",
      "displayFolder": "SVG Charts"
    }]
  }]
}

Limitations

• No interactivity -- SVG images are static (no hover, click, tooltip)
• No JavaScript -- inline scripts are stripped
• 32K character limit -- on the rendered SVG string, not the DAX expression. CONCATENATEX over 30+ rows easily exceeds this. Prefer polylines over individual dots, integer coordinates over decimals. Split complex designs into multiple simpler measures or use Deneb instead.
• Performance -- complex SVG with many elements impacts rendering
• Classic card does NOT support SVG -- use cardVisual instead

When to Use SVG Measures

SVG measures are the preferred choice for simple inline graphics embedded in tables, matrices, cards, and image visuals. Use SVG when you need:

• Sparklines, data bars, progress bars, or status indicators inside table/matrix cells
• KPI micro-charts in card visuals
• Lightweight visuals that don't require interactivity or complex data transforms
• No additional custom visual registration (works with native visuals)

Use Deneb instead for complex, interactive visualizations (cross-filtering, tooltips, hover states) or chart types that require extensive data transforms. Use Python/R instead for statistical analysis charts (distributions, regressions, correlations).

References

Community Examples and Libraries

• references/community-examples.md -- Community SVG templates organized by target visual type (Table/Matrix, Image, Card), including DaxLib.SVG functions, Kerry Kolosko templates, and PowerBI MacGuyver Toolbox patterns

By Visual Type

• references/svg-table-matrix.md -- Patterns for Table/Matrix: data bar, bullet chart, dumbbell, overlapping bars, lollipop, status pill, sparkline, bar sparkline, area sparkline, UDF patterns. Includes axis normalization, sort trick, and image size configuration.
• references/svg-image-visual.md -- Patterns for Image visuals: KPI header, sparkline with endpoint, dashboard tile. Covers sourceType, Python API, and design considerations.
• references/svg-card-slicer.md -- Patterns for Card/Slicer: arrow indicator, mini gauge, mini donut, progress bar. Card binding via callout.imageFX.

General

• references/svg-elements.md -- SVG element reference (rect, circle, line, polyline, text, path, gradient, group)

Examples

Ready-to-use DAX measure expressions in examples/:

• sparkline-measure.dax -- Line sparkline (polyline + CONCATENATEX)
• progress-bar-measure.dax -- Conditional progress bar
• dumbbell-chart-measure.dax -- Actual vs target dumbbell
• bullet-chart-measure.dax -- Bullet chart with sentiment action dots
• overlapping-bars-measure.dax -- Overlapping bars with variance label
• boxplot-measure.dax -- Box-and-whisker plot (inspired by DaxLib.SVG)
• ibcs-bar-measure.dax -- IBCS-compliant horizontal bar (inspired by avatorl)
• jitter-plot-measure.dax -- Dot strip chart with jitter (inspired by DaxLib.SVG)
• overlapping-bars-with-variance-measure.dax -- Overlapping bars with variance bar + arrow icon + % label (Kurt Buhler / Data Goblins)
• lollipop-conditional-measure.dax -- Lollipop with scaled dot + auto-formatted label (Kurt Buhler / Data Goblins)
• waterfall-measure.dax -- Waterfall with cumulative OFFSET positioning + connector lines (Kurt Buhler / Data Goblins)
• status-pill-measure.dax -- Rounded pill badge with category color + text label (Kurt Buhler / Data Goblins)

Helper Libraries

Library	Author	Key Features
DaxLib.SVG	Jake Duddy	UDF library: area, line, boxplot, heatmap, jitter, violin
PBI-Core-Visuals-SVG-HTML	David Bacci	Chips, tornado, gradient matrix, bar UDF
PowerBI MacGuyver Toolbox	Stepan Resl / Data Goblins	20+ bar, 14+ line, 24+ KPI templates
Dashboard Design UDF Library	Dashboard-Design	Target line bars, pill visuals
Kerry Kolosko Templates	Kerry Kolosko	Sparklines, data bars, KPI cards

Related Skills

• pbi-report-design -- Layout and design best practices
• deneb-visuals -- Vega/Vega-Lite for complex interactive visualizations
• python-visuals -- matplotlib/seaborn for statistical charts
• r-visuals -- ggplot2 for statistical charts
• pbir-format (pbip plugin) -- PBIR JSON format reference (extension measures, ImageUrl binding)