Component inventory

Show one or more high-priority measures with optional reference labels and supporting values.

Communicate progress toward a measurable target, often with trend context.

Show progress of one measure within a meaningful minimum–maximum range.

Track structured business goals, owners, status and progress.

Legacy single-measure Card retained for backward compatibility.

Legacy multi-card visual retained for backward compatibility.

Display exact values in a flat row/column structure.

Display hierarchical and multidimensional data with expand/collapse, subtotals and drill.

Add compact trend context inside Table or Matrix cells.

Add titles, headings, explanations and supporting text.

Provide lightweight visual structure or act as an action-enabled object.

Display contextual/static or supported dynamic imagery.

Standardize colors, fonts and visual formatting through theme JSON.

Compare values across categories with horizontal bars.

Compare values across short categories or discrete time periods.

Compare totals while also showing their internal composition.

Show composition across time or short categorical groups.

Compare proportional composition where every total equals 100%.

Compare proportional composition across ordered categories or time.

Show trends, direction and change over a continuous or ordered axis.

Show a trend while emphasizing magnitude through filled area.

Show cumulative composition changing over time.

Combine clustered columns and a line to compare related measures.

Combine stacked composition with a line measure.

Show how category ranking changes across an ordered axis.

Explain sequential positive and negative contributions from a starting value to an ending value.

Show sequential stages in a process where volume typically decreases.

Show the relationship between two numeric measures and reveal clusters/outliers.

Show simple part-to-whole relationships.

Show simple part-to-whole relationships in a ring layout.

Show hierarchical part-to-whole relationships using nested rectangles.

Show how proportional composition changes over an ordered/continuous axis, normalized to 100% at each point.

Provide geographic analysis using bubbles, markers, filled areas, heat maps, paths and other layers.

Legacy bubble/location mapping.

Legacy choropleth mapping of geographic areas.

Map custom shapes/boundaries using TopoJSON/GeoJSON-style geographic definitions.

Provide Esri-powered advanced geographic analysis within Power BI.

Expose a frequently used filter directly on the report canvas.

Compact selection from medium/large value sets.

Keep filter choices visible in a vertical list and optionally support hierarchy/search.

Display short values as button-like tiles.

Select a start/end range for dates or numeric values.

Apply a single upper or lower boundary to dates/numbers.

Filter using rolling periods that update automatically.

Filter recent time windows at hour/minute granularity.

Provide a modern date-picking interaction for date filtering.

Filter using highly visible, styleable buttons.

Filter via a rich vertical list with hierarchy, search, conditional formatting and pasted selection.

Filter by typed or pasted text/numeric values with configurable operators.

Centralized management of visual-, page- and report-level filters.

Save report state including filters, slicers, sort, drill, visibility and current page.

Automatically create navigation buttons synchronized with report pages.

Automatically create controls for bookmarks or bookmark groups.

Trigger native actions such as Back, Bookmark, Drillthrough, Page navigation or URL.

Apply a set of slicer changes in one explicit action.

Clear active slicer selections.

Expand one visual for closer inspection.

Expose contextual actions such as drill, focus, sort, filters, export or more options.

Control data order in supported visuals.

Selecting one visual filters related visuals to the selected subset.

Highlight the selected contribution while retaining total context.

Move through hierarchy levels inside the same visual.

Navigate from a summary selection to a dedicated detail page carrying filter context.

Show supplementary values on hover.

Show a mini report page as contextual hover content.

Explain terminology, calculation or metric meaning.

Let users dynamically switch measures or dimensions used by one or more visuals.

Repeat the same chart in aligned panels by category.

Apply data-driven font, background, icons, bars or property formatting.

Add analytical overlays such as reference lines, trend, forecast, anomalies and error bars where supported.

Show fixed thresholds, targets or comparison levels on supported charts.

Extend supported line-chart time series statistically into the future.

Show uncertainty or upper/lower bounds on supported visuals.

Create calculations scoped to a visual, using the visual structure itself.

Interactively break a measure down across dimensions to explore contributors.

Identify factors statistically associated with a selected outcome.

Generate natural-language summaries of report data.

Detect unexpected deviations in supported line charts.

Let users ask natural-language questions and generate a visual answer.

Trigger a Power Automate flow using report selection/filter context.

Embed a Power App and pass report context into a transactional experience.

Embed pixel-precise, print-oriented paginated output inside a Power BI report.

Render a statistical/custom visual using R.

Render plots produced with Python.

Nudge-style KPI composition for a primary value, comparisons and concise supporting context.

KPI composition with compact directional trend context.

Consistent row/grid of related KPI blocks.

Card/panel shell containing time-series analysis and optional references.

Styled comparison module for ranked categories.

Reusable part-to-whole module.

Styled contribution analysis from a starting value to an ending result.

Styled exact-value detail module with optional title/actions.

Styled hierarchical table pattern.

Consistent top-of-page filter composition.

Button-like switch for changing measure or dimension while retaining the same analysis layout.

Styled navigation for report pages or controlled report states.

Rich compact context card shown from a data point.

Compact narrative or exception callout around an important finding.

Use Nudge's icon library for actions, status cues and supporting semantics.

Centralize Power BI theme foundations using reusable tokens and theme configuration.

Use semantic text, surface, brand, success, warning, error and border tokens to keep theme colors consistent.

Standardize supported Power BI text classes and visual typography.

Manage repeatable chart data-color palettes aligned with brand and accessibility.

Create named formatting variants for supported visual types using Power BI theme style presets.

Preview theme changes against an interactive Power BI sample report.

Import existing Power BI theme JSON and export Power UI themes as standard Power BI JSON.

Apply a Power UI theme directly into a Power BI Project (.pbip) workflow.

Standardized theme/preset treatment for Cards.

Standardize supported table and matrix typography, grids, headers, totals and effects.

Canonical semantic color decisions for brand, surfaces, text, status and data roles.

Canonical font families, weights and hierarchy.

Canonical spacing rhythm and grouping principles.

Canonical borders, radius and shadows where supported.

Compare actual to target in a compact bar-based form.

Show flows between nodes/categories.

Show tasks against a time schedule.

Show distribution, quartiles and outliers.

Show distribution density and spread.

Compare multivariate profiles around radial axes.

Show compact differences between points/categories.

Create custom Vega/Vega-Lite visual specifications inside Power BI.

What is happening and where should I look?

What is the current result and how does it compare?

How is the metric developing?

Which categories perform best/worst?

Why is actual different from budget/target?

What is behind this selected item?

How does performance break down through levels?

Which dimensions are associated with the result?

I know the scope I want to analyse.

I know the exact item/store/order I need.

I want to inspect the same analysis using another measure/dimension.

What must I see on a phone?