Multi-Variable Visualization

Most real-world data stories involve three or more variables. Revenue by segment over time is three variables — revenue, segment, and time. Adding a fourth — win rate — creates a visualization challenge that a simple chart cannot handle. Multi-variable visualization techniques: small multiples (one chart per segment, each showing revenue over time), bubble charts (position for two variables, size for a third, color for a fourth), and faceted dashboards (a coordinated set of charts that each show a different variable with shared filters). The principle: never sacrifice clarity for completeness. A chart that tries to show five variables in one view communicates none of them. Split the variables across coordinated views where each view is clear.