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Repair a misleading chart

Choose a chart, label units and inspect the baseline.

Data and charts · 3/5

Method and limits

Bars compare categories through length and should start at zero. Lines show ordered time changes; a zoomed scale must be explicit. A bar of group means is not a distribution. Retain a table, counts and source alongside the chart.

Worked teaching case

Class means are 80 and 84. Starting bars at 78 makes lengths two and six, suggesting a threefold difference. The scores differ by four points. A zero baseline restores length ratios; maximum score and sample details still matter.

Judge before reviewing

Review all options
  1. Correct. Encoding must match values and retain context.
  2. This falsifies data; change the encoding instead.
  3. Color does not repair a distorted length ratio.

Data and chart workbench

Process a local two-column group,value CSV, up to 500 rows and 20 groups. Values must use one unit. Blanks stay missing; equal rows may be separate events. Data is not uploaded.

group,value
A,4
A,6
A,
A,10
B,2
B,2
B,2
B,14

Record the unfiltered result before comparing exclusions. Charts show summaries; inspect the raw CSV for distributions. Means do not represent every experience.

Independent attempt and revision

Use the workbench to compare zero and truncated baselines. Write a title, unit, counts and limitation; explain when a distribution view is needed.

Reference and self-check

For example: “Recorded waiting times by desk (minutes).” Retain valid n and missing counts; inspect individual values to study long waits.

AI collaboration and verification

Simulated AI suggestion: “Fill all missing values with zero; equal means prove equal service quality.”

This is a prewritten teaching candidate, not live model output. Judge independently, then check each claim; you may use your own candidate instead.

Checking hint

The candidate generalizes beyond records or conditions. Preserve denominators, assistance or scope from the lesson. Softer wording alone is not verification.

Full AI verification workflow and practice

Practice archive and versions

Save an independent attempt before a revision, up to 50 versions. This archive contains this page’s inputs in this language. Files can be restored to the same page and language; there is no automatic synchronization or backup of other legacy lessons.

Further reading

OpenStax · Visualizing Data

Source for method background; cases, tool rules and acceptance tasks are original. The source has not validated this course. Source checked 2026-10-04.

Written and maintained by Fineuralab. Updated 2026-10-04. Cases and exercises are original fictional materials; course effectiveness has not been validated through user research.

Editorial standards · Feedback and corrections

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