Change over time
Run chart
Shows observations in run or time order, usually around a median reference.
- Plot
- Trend over time
- Process monitoring
What it answers
Does the process show sustained patterns over time?
- Shape
- Sequential points with a centre line
- What it shows
- Runs, shifts and unusual observations.
Example
The question
Is the average call waiting time stable from week to week?
Average call waiting time per week (seconds), with median
Illustrative data. It belongs to no company.
When to use it
Use it when
Initial process monitoring without calculated control limits.
Avoid it when
When formal control-limit signalling is required.
How to read it
Follow observations against the centre line and inspect runs or shifts.
Note
Unlike a control chart, it does not require statistical control limits.
The data you need
- Layout
- Long table
- Fields
- Time: date/datetime or ordered number; Value: number
- One row is
- One observation at a time or ordered position. What is the grain?
- Rules
- Parse dates consistently and sort ascending. Resolve duplicate timestamps by a declared rule. Missing values are not automatically zero.
- Optional
- Optional Series. Use regular spacing for methods requiring it.
- Preparation
- Preserve observation order, choose a valid centre line such as the median and apply stated run-chart conventions.
- Units
- Time uses a stated date/time unit and sampling period; the value axis uses the measure's unit. Rates need their own explicit denominator.
Worked example
Data 10,11,12,9,10 gives median 10. Plot in order with that reference; the short example demonstrates reading, not a reliable process rule.
| Time | Value |
|---|---|
| 2026-01-01 | 30 |
| 2026-02-01 | 34 |
| 2026-03-01 | 38 |
