Lakeside Clinic Wait Times — Dot Plot
This dot plot keeps each observation visible instead of reducing the sample to an average. Equal values stack vertically, making the most common measurements, gaps and potential outliers easy to find. The horizontal axis uses the unit relevant to the sample, while the vertical stacking only separates repeated observations; it is not a second measured variable. This format is especially useful for a small operational sample or a classroom dataset where exact values matter. The chart should be interpreted with its collection context in mind, including how observations were selected and whether the sample is representative. For larger datasets, grouping observations into bins can improve readability.
Open it in the AI editor with a prompt pre-filled — keep what works, change what doesn't.
Scenario
Lakeside Clinic is reviewing a small sample of arrival-to-appointment waits.
Key decisions
- Scope: use the named categories and period.
- Labels: keep the title and units explicit.
- Interpretation: treat the example as a clear communication aid.
When to reuse this
Use this dot plot for the stated comparison and audience.
Frequently asked questions
Why are dots stacked?
What does the horizontal axis show?
When should I use a histogram instead?
More education examples
Tweak it with chat, export PNG/SVG, or fork it for your own use case.