Forum Discussion
Formula Cascade Referencing Itself
Hi, I have a spreadsheet with the name of items, the size of deliveries available by date, the demand in the month and an index column
I'm trying to create a cascading column that subtracts the demand from the first available delivery and then takes the result and uses it to subtract from the next available delivery. That way I would be able to know which deliveries are necessary.
I created this formula, the problem that goes into a circular formula that BI does not accept.
Cascata =
VAR Delivery = Table[Delivery]
VAR Demand = Table[Demand]
VAR Previous Index = CALCULATE (
MAX(Table[Cascata]),
FILTER (Table[Index] = EARLIER(Table[Index]) - 1 ))
RETURN
IF(Table[Index] = 1, Demand - Delivery, Previous Index - Delivery)
Does anyone know an alternative to solve the problem?
Thanks to anyone who will look into this!
| Item | Date | Size of Delivery | Demand | Index | What I need the table to do |
| AAA | 2023-08-01 | 10 | 20 | 1 | 10 |
| AAA | 2023-08-02 | 8 | 20 | 2 | 2 |
| AAA | 2023-08-03 | 5 | 20 | 3 | -3 |
I managed to solve it, in case someone in the future also has this doubt, I used this formula as a solution
Cascata = VAR Delivery = Table[Delivery] VAR Demand = Table[Demand] VAR Previous Index = CALCULATE( SUM(Table[Delivery]), FILTER(Table[Index] < EARLIER(Table[Index]) RETURN IF(Table[Index] = 1, Demand - Delivery, Demand - Previous Index - Delivery)Instead of referencing the column itself, I used the variable and filter formulas to sum the values of previous deliveries. Then I subtracted from the total demand value
1 Reply
- Matthew_BRFrequent Visitor
I managed to solve it, in case someone in the future also has this doubt, I used this formula as a solution
Cascata = VAR Delivery = Table[Delivery] VAR Demand = Table[Demand] VAR Previous Index = CALCULATE( SUM(Table[Delivery]), FILTER(Table[Index] < EARLIER(Table[Index]) RETURN IF(Table[Index] = 1, Demand - Delivery, Demand - Previous Index - Delivery)Instead of referencing the column itself, I used the variable and filter formulas to sum the values of previous deliveries. Then I subtracted from the total demand value