Introduction
Data Visualization chooses a chart from the question and data structure instead of forcing a preferred style. It confirms metric definitions, units, time grain, groups, and comparison baselines, then selects an appropriate form for trends, ranking, composition, distribution, or relationships. Deliverables can include downloadable charts plus reproducible code or specifications.
Use Cases
Use it for weekly reports, operating dashboards, research results, market analysis, and presentations. It can prepare unclear datasets before charting or review existing visuals for truncated axes, misleading dual scales, excessive color, and missing labels.
Template
Provide the data, question, audience, and usage context. Define the key metrics, formulas, units, time range, comparisons, and required emphasis or exclusions. Add static or interactive preference, dimensions, brand colors, export format, and whether code and data notes are required.
