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.
Same data. One version earns trust, the other loses it.
Not every distortion is in the axis — some are in what gets left out. Each fix is tied to a named principle, so you can defend the chart in the room, not just make it prettier.
Quarterly revenue ($M)
Quarterly revenue ($M)
The y-axis started at 90, not 0. On a bar chart, length is the value — so a clipped baseline turns a 6-point rise into a towering one. Start bars at zero and the real story shows: steady, modest growth.
Performance index, recent months
Performance index, full history
The chart showed only the three months that rose. Cropping the window hides a year of decline — the metric is still below where it started. Plot the full series so the recent uptick reads in context, not as a clean climb.
See the full gallery — five ways a chart can mislead, and the honest version of each
Drop in your chart
Upload an image, or paste your data table for a fix that uses your real numbers.
See what's wrong
Issues ranked by how misleading they are, each tied to a named visualization principle.
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.