Data Science for Young Minds — Grade 3
| Topic | Details |
|---|---|
| What a truncated y-axis is and why it mi | What a truncated y-axis is and why it misleads |
| How stretched or compressed scales disto | How stretched or compressed scales distort perception |
| The 'zoom in' trick | The 'zoom in' trick: making small changes look dramatic |
| Activity | Activity: compare honest vs. misleading versions of the same data |
| What cherry-picking means | What cherry-picking means: showing only data that supports your argument |
| Missing context | Missing context: numbers without background information |
| Time frame manipulation | Time frame manipulation: choosing start and end dates that tell your story |
| How to ask 'what is missing from this gr | How to ask 'what is missing from this graph?' |
| 3D graphs | 3D graphs: how depth makes bars look bigger or smaller |
| Color manipulation | Color manipulation: bright colors draw attention, gray fades away |
| Pictograph distortion | Pictograph distortion: making symbols different sizes |
| Activity | Activity: spot the visual trick in 8 graphs |
| Principles of honest graph design | Principles of honest graph design |
| Step-by-step | Step-by-step: how to redesign a misleading graph |
| Before and after | Before and after: comparing misleading vs. honest versions |
| Activity | Activity: redesign 3 misleading graphs to be honest |
The most common trick: starting the y-axis above zero to make small differences look huge.
Learn how selecting only favorable data points creates a false picture.
Discover how 3D effects, color choices, and distorted proportions manipulate your perception.
Take misleading graphs and fix them. Make the same data tell an honest story.