Forum Discussion
need help this calculated table by using dax
Could you please help me create a calculated table in Power BI using DAX?
I have two tables: Calendar and Inbound_Query. The Inbound_Query table includes the following columns: Market, Supply Category, Container Number, Max ETA Date, Clearance Days, and Capacity.
I want to calculate a Predicted Delivery Date based on the following logic:
For each day and supply category, count the number of containers.
If the container count exceeds the capacity, the predicted delivery date should be: Max ETA Date + Clearance Days + 1 day.
Otherwise, it should be: Max ETA Date + Clearance Days.
I need a Remaining Containers column that tracks the number of containers exceeding the capacity for each day and market. These excess containers should be carried over to the next day. If the container count is within capacity, the remaining containers should be 0.
The final calculated table should include the following columns:
Market
Supply Category
Max ETA
Container Count
Remaining Containers
Capacity
Clearance Days
Predicted Delivery Date
10 Replies
- bhanu_gautamSuper User
tkavitha911 , Try using
CalculatedTable =
VAR CalendarTable = ADDCOLUMNS(
CROSSJOIN(
VALUES(Calendar[Date]),
VALUES(Inbound_Query[Supply Category])
),
"Market", Inbound_Query[Market],
"Max ETA", Inbound_Query[Max ETA Date],
"Clearance Days", Inbound_Query[Clearance Days],
"Capacity", Inbound_Query[Capacity]
)
VAR ContainerCountTable = ADDCOLUMNS(
CalendarTable,
"Container Count",
CALCULATE(
COUNTROWS(Inbound_Query),
FILTER(
Inbound_Query,
Inbound_Query[Supply Category] = EARLIER(CalendarTable[Supply Category]) &&
Inbound_Query[Market] = EARLIER(CalendarTable[Market]) &&
Inbound_Query[Max ETA Date] = EARLIER(CalendarTable[Date])
)
)
)
VAR PredictedDeliveryTable = ADDCOLUMNS(
ContainerCountTable,
"Remaining Containers",
VAR CurrentDate = CalendarTable[Date]
VAR CurrentMarket = CalendarTable[Market]
VAR CurrentSupplyCategory = CalendarTable[Supply Category]
VAR CurrentCapacity = CalendarTable[Capacity]
VAR CurrentContainerCount = ContainerCountTable[Container Count]
VAR PreviousRemainingContainers =
CALCULATE(
SUMX(
ContainerCountTable,
ContainerCountTable[Remaining Containers]
),
FILTER(
ContainerCountTable,
ContainerCountTable[Date] = CurrentDate - 1 &&
ContainerCountTable[Market] = CurrentMarket &&
ContainerCountTable[Supply Category] = CurrentSupplyCategory
)
)
VAR TotalContainers = CurrentContainerCount + PreviousRemainingContainers
RETURN
IF(
TotalContainers > CurrentCapacity,
TotalContainers - CurrentCapacity,
0
),
"Predicted Delivery Date",
IF(
ContainerCountTable[Remaining Containers] > 0,
CalendarTable[Max ETA] + CalendarTable[Clearance Days] + 1,
CalendarTable[Max ETA] + CalendarTable[Clearance Days]
)
)
RETURN
SELECTCOLUMNS(
PredictedDeliveryTable,
"Market", [Market],
"Supply Category", [Supply Category],
"Max ETA", [Max ETA],
"Container Count", [Container Count],
"Remaining Containers", [Remaining Containers],
"Capacity", [Capacity],
"Clearance Days", [Clearance Days],
"Predicted Delivery Date", [Predicted Delivery Date]
) - Jihwan_KimSuper User
Hi,
I am not sure how your semantic model looks like, but I tried to create a sample pbix file like below.
Please check the below picture and the attached pbix file.
expected result table = VAR _condition = SELECTCOLUMNS( SUMMARIZE( ADDCOLUMNS( ADDCOLUMNS( SUMMARIZE( inbound_query, inbound_query[market], inbound_query[supply_category], inbound_query[max_eta], inbound_query[capacity] ), "@container_count", CALCULATE(COUNTROWS(DISTINCT(inbound_query[container_number]))) ), "@condition", IF( inbound_query[capacity] < [@container_count], 1, 0 ), "@remaining_containers_count", IF( [@container_count] - inbound_query[capacity] > 0, [@container_count] - inbound_query[capacity], 0 ) ), inbound_query[market], inbound_query[supply_category], inbound_query[max_eta], [@container_count], [@remaining_containers_count], [@condition] ), "@m", inbound_query[market], "@s", inbound_query[supply_category], "@container_count", [@container_count], "@remaining_containers_count", [@remaining_containers_count], "@maxeta", inbound_query[max_eta], "@condition", [@condition] ) VAR _t = GENERATE( inbound_query, FILTER( _condition, [@m] = inbound_query[market] && [@s] = inbound_query[supply_category] && [@maxeta] = inbound_query[max_eta] ) ) RETURN SUMMARIZE( ADDCOLUMNS( SUMMARIZE( _t, inbound_query[market], inbound_query[supply_category], inbound_query[max_eta], [@container_count], [@remaining_containers_count], inbound_query[capacity], inbound_query[clearance_days], [@condition] ), "@predicted_delivery_date", inbound_query[max_eta] + inbound_query[clearance_days] + [@condition] ), inbound_query[market], inbound_query[supply_category], inbound_query[max_eta], [@container_count], [@remaining_containers_count], inbound_query[capacity], inbound_query[clearance_days], [@predicted_delivery_date] )- tkavitha911Helper III
The balance containers need to be carried forward to the next day, even though the input data does not have continuous dates
- AnonymousNot applicable
Hi tkavitha911,
As per my analysis, the solution provided by Jihwan_Kim matches the requirement.
However, to assist you further and provide an accurate and working solution, could you please help clarify a few things:
- Date Context: Is the expected output a daily view across a calendar, or are we only interested in dates that appear in the Max ETA date column from the Inbound Query table?
- When you say you want "carried forward to the next day," in which column do you want the day to be carried forward?
- Please provide a sample data/ pbix to get more clarity about your situation.
Your explanation will give us more clarity and hence we would be able to assist you better on this.
Regards,
Vinay Pabbu
- AnonymousNot applicable
Hi tkavitha911,
I am following up to see if you had a chance to review my previous response and provide the requested information. This will enable us to assist you further.
Regards,
Vinay Pabbu
- AnonymousNot applicable
Hi tkavitha911,
May I ask if you have gotten this issue resolved?
If it is solved, please mark the helpful reply or share your solution and accept it as solution, it will be helpful for other members of the community who have similar problems as yours to solve it faster.
Regards,
Vinay Pabbu- tkavitha911Helper III
Need to fixpending containers and Total containers pls help
im providing the sample data and out put bothMarket Date Max eta date No of containers arrived Capacity Clearence days No of containers deliverd No of containers pending to deliver Total containers India 11-11-2024 11-11-2024 23 5 3 5 18 India 12-11-2024 12-11-2024 24 5 3 5 37 42 India 13-11-2024 5 3 5 32 37 India 14-11-2024 5 3 5 27 32 India 15-11-2024 5 3 5 22 27 India 16-11-2024 5 3 5 17 22 India 17-11-2024 5 3 5 12 17 India 18-11-2024 5 3 5 7 12 India 19-11-2024 5 3 5 2 7 India 20-11-2024 20-11-2024 3 5 3 5 0 5 India 21-11-2024 21-11-2024 5 3 5 -5 0 India 22-11-2024 22-11-2024 5 5 3 5 -5 0 India 23-11-2024 23-11-2024 5 3 5 -10 -5 India 24-11-2024 24-11-2024 5 3 5 -15 -10