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Misleading Axis Checker

Find axis scale and proportion risks. UChartX adds truncated axis, dual-axis, 3D, and area proportion checks, then lets you audit and export the result.

  1. 1Upload DataPaste, upload, or load a sample
  2. 2Check & DescribeReview fields and data quality
  3. 3VisualizeChoose and refine the chart
  4. 4Publish & ExportCheck context and download
Chart ready

Loaded sample: Monthly revenue by channel as CSV

Analyzer144 rows96/100 score
Browser-side processingNo account requiredUse small, non-sensitive datasets

Steps 1-2

Upload and check data

CSV or pasted tableUse a header row followed by one row per item. Commas, tabs, and copied spreadsheet rows are accepted.Month,Revenue Jan,12400 Feb,13850
Field inspectorOverride a type when the automatic detection is wrong.
144rows
7fields
100%filled
0issues
144 parsed row(s)

Monthly revenue by channel gives Misleading Axis Checker a different data shape for checking recommendations, controls, and exports.

Step 3

Visualize

Preview: Auto

Exports use report 1200x800 with the current title, source note, chart view, and watermark.

Chart viewChoose a view for this preview.

Auto: Use the best default for the current page and detected fields.

uchartx.com

Publish & Export checksTitle readySource note readyAuto preview selected
Month: dateChannel: categoryRegion: categoryRevenue: currencyCost: currencyOrders: numberTarget: number
Input shapeChart settings

reviewing charts used in reports

What this page addstruncated axis, dual-axis, 3D, and area proportion checks

Find axis scale and proportion risks.

Export decisionRisk report

Avoid this workflow for charts without numeric axes.

Use case

Misleading Axis Checker workflow

Misleading Axis Checker is for reviewing charts used in reports. It works with monthly revenue by channel, region, cost, orders, and target, adds truncated axis, dual-axis, 3D, and area proportion checks, and keeps the preview, checks, and exports tied to the data you entered.

From input to export

  1. Start with the revenue sample or paste your own Chart settings data.
  2. Treat the score as a checklist, not a final approval.
  3. Apply the specific fixes before exporting or publishing.
  4. Export Risk report after the checks explain any remaining context or readability issues.

When to use

  • Use Misleading Axis Checker when you need to find problems before a chart is published.
  • It is a good fit for reviewing charts used in reports.
  • It works best when your data resembles monthly revenue by channel, region, cost, orders, and target.

When not to use

  • Do not use this workflow for charts without numeric axes.
  • Do not publish the result until title, unit, source, and export size have been reviewed.
  • Use another chart preview when the recommendations explain a better fit.

Controls that matter

  • Use the score panel to identify the next fix.
  • Apply safe fixes such as source note, Top N, or chart switch.
  • Export the audit summary after review.

Input and method

  • The parser normalizes rows into a browser-side table and never requires an account.
  • Field detection classifies monthly revenue by channel, region, cost, orders, and target into number, date, category, or text fields.
  • The chart logic checks audit fit against the detected fields and the current page task.
  • The score combines data readiness, field mapping, chart fit, labels, accessibility, and risk report export readiness.

Checks before export

  • Exporting the score without acting on the listed issues.
  • Exporting before adding a clear title, unit, or source note.
  • Ignoring the page limit: this workflow is not intended for charts without numeric axes.
  • Treating the score as approval instead of reviewing the specific fixes.

Export options

  • PNG and SVG exports use the current risk report preview and selected size.
  • Markdown and mini report exports include title, source note, detected fields, score, and fixes.
  • HTML, JSON config, clean CSV, and alt text are available from the secondary export panel when data is valid.

Output limits

  • Very large datasets should be summarized before using this browser-side tool.
  • Avoid this workflow for charts without numeric axes.
  • Image-only chart recognition, cloud storage, and collaborative editing are not part of this version.
  • Generated summaries should be reviewed before publication.

Related tools

Chart Type Recommenderrules that explain why each chart fitsChart Audit Checker100-point score with severity and suggested fixesChart Label Checkermissing title, unit, source, and annotation checks

FAQ

What data works best with Misleading Axis Checker?

Misleading Axis Checker works best with clean monthly revenue by channel, region, cost, orders, and target that includes headers and enough rows to find problems before a chart is published.

What should I do with audit results?

Use the fixes as a publishing checklist and rerun the chart after changing labels, data shape, or export context.

Does UChartX upload my data?

Core chart creation runs in the browser. Avoid pasting private or regulated datasets into any web tool.

Can I export from Misleading Axis Checker?

Yes. This page supports the relevant export options listed for the tool: Risk report.