Apply the Data Visualization curriculum to a checked project.
Project brief
Required concepts
- Chart design starts with a question, unit and visual encoding
- Aggregation grain and denominator: make every plotted mark auditable
- Axis scales, baselines and labels: prevent a correct number from telling a false story
- Distribution plots: keep the tail, missing values and bin policy visible
- Uncertainty on charts: show denominators and intervals beside estimates
- Accessible charts: encode meaning without relying on color alone
- Dashboard filters and provenance: make every view reproducible
Completion standard
Submit runnable work, a data manifest, measured results and failure-case evidence.