Dashboard Mode - Why rules-based formatting highlights patterns
Dashboard Goal
Help users quickly see sales trends and patterns by highlighting high and low sales values using rules-based formatting.
Help users quickly see sales trends and patterns by highlighting high and low sales values using rules-based formatting.
| Region | Month | Sales |
|---|---|---|
| North | Jan | 120 |
| North | Feb | 150 |
| North | Mar | 90 |
| South | Jan | 200 |
| South | Feb | 180 |
| South | Mar | 220 |
| East | Jan | 130 |
| East | Feb | 170 |
=SUM(C2:C9)=AVERAGEIFS(C2:C9,A2:A9,"North") -> 120=AVERAGEIFS(C2:C9,A2:A9,"South") -> 200=AVERAGEIFS(C2:C9,A2:A9,"East") -> 150+----------------------+-----------------------+ | Total Sales | Average Sales by Reg | | (KPI Card) | (Table) | +----------------------+-----------------------+ | Sales Data Table with Rules-Based Formatting | +------------------------------------------------------------+
Adding a filter for Region will update the Total Sales KPI, the Average Sales by Region table, and the Sales Data Table to show only data for the selected region. The rules-based formatting will then highlight high and low sales within that filtered data, helping users see patterns specific to that region.
If you add a filter for Region = South, which components update and how?