Design auditable charts from explicit populations, stable scales, visible uncertainty and accessible representations.
Learning path
- 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
- Project: build an auditable receipt-review dashboard
Connected foundations
Use the earlier data and model boundaries as prerequisites.
Practice
Continue into another subject: Geospatial Analytics Tutorial.