Dashboard Mode - Why clean data entry prevents errors
Dashboard Goal
This dashboard shows how clean data entry helps prevent errors in sales records and improves accuracy in calculations.
This dashboard shows how clean data entry helps prevent errors in sales records and improves accuracy in calculations.
| Order ID | Product | Quantity | Price per Unit | Total Sales |
|---|---|---|---|---|
| 1001 | Pen | 10 | 1.50 | =C2*D2 |
| 1002 | Notebook | 5 | 3.00 | =C3*D3 |
| 1003 | Pen | abc | 1.50 | =C4*D4 |
| 1004 | Marker | 7 | 2.00 | =C5*D5 |
| 1005 | Notebook | 3 | 3.00 | =C6*D6 |
| 1006 | Pen | 8 | 1.50 | =C7*D7 |
| 1007 | Marker | 5 | 2.00 | =C8*D8 |
Note: Row 4 has an invalid quantity entry "abc" to show error from unclean data.
=SUM(E2:E8)=SUMPRODUCT(--ISERROR(E2:E8))=IF(ISNUMBER(E2),"Clean","Error")=SUMIFS(E2:E8,F2:F8,"Clean",B2:B8,"Pen") (similar for other products)+----------------------+----------------------+ | Total Sales | Number of Errors | | (KPI) | (KPI) | +----------------------+----------------------+ | | | Sales by Product Chart | | | +----------------------------------------------+ | | | Data Table with Error Check | | | +----------------------------------------------+
Adding a filter for "Product" updates the Sales by Product chart and the Data Table to show only selected products. Errors count and Total Sales update accordingly, showing how errors affect results.
If you add a filter to show only "Pen" products, which components update and how?