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.

類型 長條圖引擎 echarts-bar更新時間 2026/9/24

需求

“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.”

接著試試Add a four-hour service target line.Add a 12–14 hour bin with two tickets.

這張圖裡有什麼

看懂背後的決策。

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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常見問題

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.