Delivery Delay Histogram

This histogram groups late parcel deliveries by the number of hours past their promised arrival time. Most late parcels fall in the first two hours, and the frequency drops as delays become longer. That pattern helps an operations team separate a common small delay from a smaller group of severe exceptions. Use the same promise-time definition across all records and exclude canceled deliveries unless they are part of the question. The chart does not explain why parcels were late, so pair it with route, carrier, weather, and warehouse data when diagnosing causes. Keep the bins consistent when comparing different weeks or service regions.

유형 막대 그래프엔진 echarts-bar업데이트됨 2026. 9. 24.

요청 내용

“Create a histogram of 100 late parcels using 2-hour delay bins from 0 to 12 hours with frequencies 41, 28, 16, 9, 4, and 2.”

그렇다면Add a bin for parcels delivered early.Change the 6–8 hour bin to 12 parcels.

이 도면에 담긴 내용

그 이면의 의사결정을 읽어 보세요.

01Definition

Measure delay against the promised arrival time.

02Bins

Use equal two-hour intervals.

03Priority

Investigate the parcels delayed more than six hours.

Use this histogram to understand the spread of late-delivery exceptions across a delivery operation.

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자주 묻는 질문

What is a delivery-delay histogram?

It groups deliveries by how late they arrived so the distribution of delays is visible.

Why not use only average delay?

An average can hide whether most delays are small or whether a few severe cases are pulling it upward.

Can I compare two delivery regions?

Yes, if both use the same delay definition, period, and bin ranges.