Data Storytelling & Dashboard Lab
Read a headline claim, study its small dashboard of mini charts, and decide whether the data actually backs up the claim. When it does not, name the deception technique behind it, a misleading axis, a biased sample, correlation mistaken for causation, or a cherry-picked stat, then reveal the answer and the explanation.
Guided Experiment: Judge the Dashboard
Hypothesis
Setup
Run Experiment
Analyze
Conclude
Which headline do you predict is honestly supported by its dashboard, and why?
Write your hypothesis in the Lab Report panel, then click Next.
Controls
"New Study App Makes Test Scores Soar!"
Does the data support the headline?
0 / 500
0 / 500
0 / 500
Reference Guide
Is This Data Story Honest?
- Misleading axis. The y-axis is truncated or scaled so a small change looks huge.
- Biased sample. The people or items measured are not representative of the whole group the claim is about.
- Correlation, not causation. Two things rise and fall together, but one is not shown to cause the other.
- Cherry-picked stat. A narrow, favorable number is highlighted while the fuller picture tells a different story.
How to Use This Lab
- Pick a data story and a difficulty level.
- Read the headline and study every mini chart in the dashboard, including its caption.
- Decide whether the data supports the headline, and choose a technique if it does not.
- Reveal the answer, read the explanation, and record what you noticed in the lab report below.
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