Power BI Custom Visual

Box Plot for Power BI

AI-generated box plot for Power BI. Describe what you need in plain English; download a ready-to-import .pbiviz file. Full TypeScript source included.

A box plot summarizes a numeric distribution with five numbers: minimum, first quartile, median, third quartile, and maximum, plus outlier dots for values beyond 1.5× the interquartile range. It's the quickest way to compare distributions across many groups without losing the tail structure the way a bar chart of averages does.

Power BI doesn't ship a box plot. The statistical-analysis community has filled the gap on AppSource, but most marketplace implementations can't handle a large number of groups cleanly, don't expose whisker definitions, and lock their formatting.

VizForge generates a Power BI box plot custom visual with configurable whisker rules (1.5×IQR Tukey, min/max, or percentile), outlier mark style, and optional notches for median confidence intervals. Our AI writes the .pbiviz so it reads cleanly whether you have 3 groups or 30.

When to use a box plot in Power BI

Order-value distributions by region
Ticket-resolution-time distributions by priority
Lab-result distributions across batches (quality control)
Engagement-metric distributions across user cohorts
Transaction-count distributions across branches

Example prompt

Example VizForge prompt

Horizontal box plot of ticket resolution times split by priority (P1, P2, P3, P4). Include outlier dots beyond 1.5× IQR. Show median value inside each box.

Data shape required

Two columns: Group (text) and Value (numeric). Each row is one observation.

Typical DAX measures

Q1 = PERCENTILE.EXC( Tickets[Resolution Hours], 0.25 )
Median = MEDIAN( Tickets[Resolution Hours] )
Q3 = PERCENTILE.EXC( Tickets[Resolution Hours], 0.75 )

Upper Whisker = [Q3] + 1.5 * ([Q3] - [Q1])
Lower Whisker = [Q1] - 1.5 * ([Q3] - [Q1])

Generate a Box Plot — starts free

Free plan: 3 visuals per month. No credit card required.