STATISTICS

Employee commute time bell curve

This bell curve summarizes a hypothetical distribution of staff commute times at Northwind. Most observations are clustered near 40 minutes, while very short and very long commutes appear less often. The shape is useful for explaining the idea of a normal distribution, but it should not be treated as proof that every real commute dataset is normal. Plot the observed values or frequency bins first, then use a smooth bell curve only when the pattern is a reasonable approximation. The chart can support discussions of typical travel time, spread and outliers without exposing individual employee records. It gives teams a concrete starting point for reviewing assumptions, data quality and next steps together.

UPDATED 2026-09-25
TYPELine
EXAMPLEEmployee commute time bell curve
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CASE ANALYSIS

Scenario

A workplace team examines commuting patterns.

Key decisions

  • Set the measure: Use commute minutes on the horizontal axis.
  • Find the center: Identify the most typical commute range.
  • Watch tails: Note unusually long commutes.

When to reuse this

Use when a continuous measure has a roughly symmetric distribution.

FAQ

Frequently asked questions

What does the peak of a bell curve show?01
It shows the most common range of values in the distribution.
Are all datasets bell-shaped?02
No. Skewed, multi-peaked or bounded data may need a different chart.
What do the tails represent?03
They represent values that occur less frequently than values near the center.
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