Peak Packaging Weights

Peak Packaging Weights — 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.

類型 散佈圖引擎 echarts-scatter更新時間 2026/9/24

需求

“Create a dot plot titled Peak Packaging Weights for package weights in kilograms of 2.1, 2.4, 2.4, 2.7, 3, 3, 3, 3.3, 3.3, 3.8, 4.1, 4.1, 4.5, 5.2 and 6.4, stacking equal values.”

接著試試Add an upper limit at five kilograms.Label the 6.4-kilogram package.

這張圖裡有什麼

看懂背後的決策。

01Scope

use the named categories and period.

02Labels

keep the title and units explicit.

03Interpretation

treat the example as a clear communication aid.

Use this dot plot for the stated comparison and audience.

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常見問題

Why are dots stacked?

Stacking separates repeated values so their frequency is visible.

What does the horizontal axis show?

It shows the measured value for each individual observation.

When should I use a histogram instead?

Use a histogram when the dataset is large enough that individual dots become crowded.