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Backed by visualization science

Charts that don't mislead.

FairCharts reviews any chart, flags what's misleading or unclear, and hands back a corrected version, with the reasoning. Built on the framework taught in data-visualization research.

For consultants and analysts who present data to clients. No spam, one launch email.
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Same data. One version earns trust, the other loses it.

Every fix is tied to a named principle, so you can defend the chart in the room, not just make it prettier.

● Before

Q3 client satisfaction

90 94 98 100 North East West
● After

Q3 client satisfaction

0 25 50 75 100 North East West
What · honest encoding
The y-axis started at 90, not 0. A truncated axis turns a 4-point gap into a 3x visual difference. For bar charts, length encodes the value, so the baseline must be zero or the bars lie.
● Before

Revenue by service line

Advisory Audit Tax Risk Deals Other
● After

Revenue by service line

Advisory Deals Risk Tax Audit Other
Why · right idiom for the task
The task was ranking, but a pie hides rank. Readers can't reliably compare angles, especially across similar slices. Sorted bars put the answer, who's biggest, in the first half-second of reading.
1

Drop in your chart

Upload an image, or paste your data table for a fix that uses your real numbers.

2

See what's wrong

Issues ranked by how misleading they are, each tied to a named visualization principle.

3

Get the fixed version

A corrected, presentation-ready chart you can drop straight into the deck, with the reasoning to back it.

A misleading chart in front of a client costs more than an ugly one.

FairCharts is built for consultants and analysts whose charts carry their credibility. Catch the truncated axis, the wrong chart type, the unreadable palette, before your client does.

Be first to put your charts on trial.

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