ORIGINAL WORKED EXAMPLE

Pareto chart of defect counts with cumulative percentages

This Pareto chart ranks five fictional defect categories by reported count. The bars show the counts, and the line tracks their cumulative share of the 100 reports in the example.

Which defect types account for most reports?. Descending categories with cumulative percentages. Exact input and calculated values are available in the data tables.
Original fictional data · Apache ECharts · 1200 × 800

How to read this chart

Scratches account for 42 reports, dents 25, misalignment 18, finish 10 and other 5. The cumulative shares are therefore 42%, 67%, 85%, 95% and 100%. The first three categories are needed to reach or exceed the 80% reference.

Three of five categories represent 60% of the categories, not 20%. Their combined share is 85% of reports. This is why the plotted data should be read directly rather than assuming that every Pareto chart must exhibit an exact 80/20 split.

Try the calculation yourself

Inspect the ranked table and verify the running addition: 42 + 25 + 18 = 85. If using your own defect records, decide whether you are counting defects or defective items. An item with two recorded defect types can produce two reports, so the unit matters.

Open this exact example, change the data or calculation settings, and compare the result. The CSV preserves the input rows; the ECharts JSON contains drawing options.

What this example cannot tell you

These invented counts identify no real manufacturing cause or intervention. Frequency alone omits severity, repair cost and whether a fix is practical. The chart ranks the supplied categories; it does not discover causes from raw incident descriptions.

Is the highest bar automatically the first problem to fix?

It is the most frequent category under this counting scheme. Choosing an action also depends on impact, cost and feasibility. A separate cost-based Pareto may produce a different order, so state the decision measure before treating a ranking as a priority list.

Calculation convention

Enter one nonnegative value for each unique category. That value may be an incident count, a cost or a duration, provided the unit is consistent across rows. A category that leads by count may not lead by cost. Choose the measure that answers the decision question and make its unit visible on the left axis.

Method background: ASQ: Pareto chart procedure.

Created by SupaMakers for ChartsAI · September 8, 2026. Source and reuse terms.

Keep exploring