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.

Typ BalkendiagrammEngine echarts-barAktualisiert 24.9.2026

Die Anfrage

“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.”

Dann probieren SieAdd a four-hour service target line.Add a 12–14 hour bin with two tickets.

Was diese Zeichnung zeigt

Die dahinterstehenden Entscheidungen verstehen.

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

Häufige Fragen

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.