Dashboard Mode - Why interactivity enables exploration
Business Question
How can interactive filters help us explore sales data to find trends and insights quickly?
How can interactive filters help us explore sales data to find trends and insights quickly?
| Region | Product | Month | Sales |
|---|---|---|---|
| East | Widget | Jan | 100 |
| East | Gadget | Jan | 150 |
| West | Widget | Jan | 200 |
| West | Gadget | Jan | 250 |
| East | Widget | Feb | 120 |
| East | Gadget | Feb | 180 |
| West | Widget | Feb | 220 |
| West | Gadget | Feb | 270 |
Total Sales = SUM(SalesData[Sales])SUM(SalesData[Sales]) grouped by SalesData[Region]SUM(SalesData[Sales]) grouped by SalesData[Month]+----------------------+----------------------+ | Total Sales | Region Slicer | | (KPI Card) | (Filter) | +----------------------+----------------------+ | Bar Chart: Sales by Region | | | +------------------------------------------+ | Line Chart: Sales over Months | +------------------------------------------+ | Table: Sales by Product and Month | +------------------------------------------+
The Region Slicer lets you pick which region's data to see. When you select East, all visuals update to show only East region sales. If you select West, the charts and table update accordingly. Selecting both shows combined data. This lets you explore differences between regions easily.
If you add a filter to select only the East region, which components update and what changes?