3,847 Pareto charts created

Free Pareto Chart Maker

Enter your data. Get an 80/20 Pareto chart with automatic vital few detection. Export as PNG in one click.

✓ Quality defects ✓ Customer complaints ✓ Operations bottlenecks

Example: Customer complaints analysis

1

Enter your data

Add categories (defect types, complaint reasons, error codes) and their counts.

2

Chart is generated

Bars auto-sort from highest to lowest. Cumulative % line and 80% threshold drawn automatically.

3

Focus on the vital few

The tool highlights which categories account for 80% of the total — your highest-priority targets.

Enter your data

# Category / Defect type Count % of total
Total 0 100%

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Your Pareto Chart

🎯 Vital Few Analysis
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What's next?

How to make a Pareto chart step by step

A Pareto chart turns raw count data into a priority list. The steps below use the tool above, but the same process works in Excel, Google Sheets, or any Lean workbook.

  1. Collect count data by category. Defect types, complaint reasons, downtime causes, or any other categorised frequency data. Keep the collection window consistent — a full shift, a week, a month.
  2. Enter categories and counts. Six to twelve rows is the sweet spot. Fewer than six loses prioritisation value; more than twelve dilutes the 80/20 signal. Group the smallest categories into an "Other" bucket if needed.
  3. Let the chart sort automatically. Bars render in descending order. The cumulative percentage line overlays on a secondary axis.
  4. Read across the 80% line. Categories whose cumulative total first crosses 80% are your vital few — the 20% of causes producing roughly 80% of the effect.
  5. Act on the vital few first. Focus corrective action on the top two or three categories. Improvement effort on the trivial many delivers disproportionately less return.
  6. Export and share. One click for PNG. Paste into reports, quality reviews, or corrective-action plans.

When to use a Pareto chart

Pareto fits specific problem shapes. Knowing when it is the right tool — and when it is not — saves hours of misdirected analysis.

Good fits

Not the right tool when

Pareto chart examples

Three short examples across industries. Full case studies with data tables live in the Pareto examples article.

Manufacturing — solder-joint defects

An electronics assembly line logged 6 defect types over 30 shifts. Top 2 (cold joints, misaligned components) accounted for 78% of failures. Focus on reflow profile and placement programming closed the loop in 6 weeks.

Customer service — complaint reasons

SaaS support ticket categories over Q2. Billing disputes and login issues drove 82% of volume. Engineering fixed SSO edge cases; Finance streamlined invoicing. Tickets fell 41% in the next quarter.

Healthcare — ED wait-time drivers

ED throughput bottleneck causes, 4-week study. Lab turnaround and bed availability = 81% of wait-time impact. Two parallel kaizen events cut median door-to-disposition by 28 minutes.

Frequently asked questions

What is the 80/20 rule?

The 80/20 rule, also called the Pareto principle, states that roughly 80% of effects come from 20% of causes. In quality terms: a small number of defect types usually cause the majority of customer complaints, rework, or downtime. The Pareto chart visualises this so you can focus corrective action on the vital few.

When should I use a Pareto chart?

Use Pareto when you have count data by category and need to decide what to fix first. Good examples: defect types per shift, customer complaint reasons, equipment downtime causes, safety incident categories. Pareto is the right first step before drilling into any single category with a 5 Whys or Fishbone.

What is the difference between Pareto and a bar chart?

A Pareto chart is a bar chart with two added features: bars are sorted in descending order by default, and a cumulative percentage line is overlaid. The sort and the cumulative line together reveal which categories cross the 80% threshold — a plain bar chart shows quantities but not the cumulative impact.

How many categories should a Pareto chart have?

Six to twelve categories is the useful range. Fewer than six and the chart loses prioritisation value. More than twelve dilutes the signal and the 80/20 line becomes less meaningful. If you have many categories, group the smallest ones into an "Other" bucket.

Can I use this with non-numeric data?

Only if you can convert it to counts. Pareto needs numeric frequency per category — count of complaints, minutes of downtime, number of defects. If your data is purely qualitative, use a Fishbone diagram first to structure it, then run a Pareto once you have counts per category.

Does the chart export to Excel?

PNG export is one click. For an editable Excel chart, follow the step-by-step tutorial at How to make a Pareto chart in Excel — it walks through formulas, conditional formatting, and the dual-axis combo chart.

Is my data saved anywhere?

Your data is saved only in your browser's localStorage. Nothing is sent to a server, nothing is shared. Close the tab and come back later — the "Continue where you left off" banner brings back your last chart.

Pareto Analysis Complete Guide The 80/20 rule end to end, 7 real-world examples, common mistakes. Pareto Chart Examples 6 real industry case studies with data tables and vital-few analysis. Free Pareto Chart Template Downloadable template plus guidance on when to use Excel vs the online maker. How to Make a Pareto Chart in Excel Step-by-step tutorial with formulas, conditional formatting, dual-axis chart. 5 Whys vs Pareto Analysis Qualitative vs data-driven — when to use which, how to combine them. RCA Tools Compared Pareto vs 5 Whys vs Fishbone vs FMEA vs Fault Tree — decision guide.
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