Dashboard Mode - Extract optimization
Goal
Understand how to optimize Tableau data extracts to improve dashboard speed and efficiency.
Understand how to optimize Tableau data extracts to improve dashboard speed and efficiency.
| Order ID | Region | Category | Sales | Order Date |
|---|---|---|---|---|
| 1001 | East | Furniture | 300 | 2024-01-15 |
| 1002 | West | Technology | 450 | 2024-02-10 |
| 1003 | East | Office Supplies | 150 | 2024-03-05 |
| 1004 | South | Furniture | 200 | 2024-01-20 |
| 1005 | West | Technology | 500 | 2024-03-15 |
| 1006 | North | Office Supplies | 100 | 2024-02-25 |
| 1007 | South | Furniture | 350 | 2024-03-10 |
+----------------------+----------------------+ | Total Sales (KPI) | Number of Orders (KPI)| +----------------------+----------------------+ | Bar Chart: Sales by Region | | | +--------------------------------------------------------------------+ | Filters: Date Range | Category Filter | +--------------------+----------------------------------------------+
The Date Range and Category filters update all components dynamically. Selecting a narrower date range or fewer categories reduces the data processed, speeding up interactions.
For example, choosing only the 'Furniture' category will update the bar chart and KPIs to reflect just those filtered rows.
If you apply a filter to show only orders from the 'Technology' category, which components update and what are their new values?