Top Tableau Scenario-Based Interview Questions Set - 14 (1- 12)

 

1. How would you calculate year-over-year profit growth?
   Compare current year profit with previous year profit.
   Example:

   (SUM([Profit]) - LOOKUP(SUM([Profit]),-1))
   / LOOKUP(SUM([Profit]),-1)
   

2. How would you identify customers with highest return orders?
   Count returned orders by customer and rank them.
   Example:

   COUNT([Return Flag])
   

3. How would you display only profitable regions?
   Filter regions where total profit is positive.
   Example:

   SUM([Profit]) > 0
   

4. How would you calculate average revenue per product?
   Divide total sales by distinct products.
   Example:

   SUM([Sales]) / COUNTD([Product ID])
   

5. How would you identify orders with unusually high sales?
   Compare sales against average plus standard deviation.
   Example:

   SUM([Sales]) >
   WINDOW_AVG(SUM([Sales])) +
   WINDOW_STDEV(SUM([Sales]))
   

6. How would you create a sales forecast trend?
   Use Analytics pane and enable Forecast option.
   Example:

   SUM([Sales])
   

7. How would you calculate median sales value?
   Use MEDIAN aggregation on Sales.
   Example:

   MEDIAN([Sales])
   

8. How would you identify products sold in all regions?
   Compare distinct region count with total region count.
   Example:

   COUNTD([Region]) = 4
   

9. How would you create a customer aging analysis?
   Calculate days since last purchase.
   Example:

   DATEDIFF('day',MAX([Order Date]),TODAY())
   

10. How would you display profit variance from target?
    Subtract target profit from actual profit.
    Example:

    SUM([Profit]) - SUM([Target Profit])

11. How would you identify top-selling products by state?
    Use RANK calculation partitioned by State.
    Example:

    RANK(SUM([Sales])) = 1

12. How would you calculate cumulative customer count over time?
    Use running total on distinct customers.
    Example:

    RUNNING_SUM(COUNTD([Customer ID]))