Support Resolution Time Histogram

A histogram groups continuous numeric observations into adjacent ranges and counts how many observations fall in each range. This example uses customer-support ticket resolution time, with two-hour bins from zero to twelve hours. The bar heights show where resolution times cluster and whether a smaller group of tickets takes much longer. This is different from a bar chart of issue categories: the order of histogram bins comes from the numeric scale, and the bars touch because the ranges are continuous. Start with raw values or a clear frequency table, choose sensible equal-width bins, and label both the measure and the count. Adjust the bin width if the chart hides useful structure or becomes too noisy.

Type Diagramme en barresMoteur echarts-barMis à jour 24/09/2026

La demande

“Create a histogram of 86 customer-support ticket resolution times using 2-hour bins from 0 to 12 hours with frequencies 14, 26, 22, 13, 7, and 4.”

Essayez ensuiteAdd a four-hour service target line.Add a 12–14 hour bin with two tickets.

Ce que contient ce dessin

Comprenez les décisions qui le sous-tendent.

01Metric

Measure from ticket creation to resolution.

02Bins

Group continuous time values into equal ranges.

03Service level

Compare the distribution with the stated response target.

Use this histogram to explain a numeric distribution before choosing a service-level improvement focus.

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FAQ

Questions fréquentes

What data do I need for a histogram?

You need numeric observations, such as times, scores, sizes, or measurements, or a frequency table for numeric ranges.

What is a bin?

A bin is one numeric interval used to group observations, such as 2–4 hours.

Can I choose the bin width?

Yes. Choose a width that shows the distribution clearly and use equal widths unless there is a reason not to.