I've got this table named "A" and I want to fill the Sales SUM column with the sum of sales from another table group by date and country. The other table is named "B" and got also Date, Country and Sales columns however the number of dates and countries differ. I don't want to join this tables I would like to achieve this in DAX. Is it possible?
Yes you can do that with DAX and virtual relationship:
SumSales = calculate( sum('B'[Sales])
, TREATAS(SUMMARIZE('A','A'[Date],'A'[Country]), 'B'[Date],'B'[Country])
)
Related
I am super new to power bi and Dax and i need to create a calculated column in which i have the total sales for each country respectively.
Here is a screenshot with an oversimplified scenario but if i can do it for this data i can do it in my actual project since the concept is the same.
The column TotalSalesPerCountry is the calculated column.
And here is what the column should look like if it worked. (Colors are just for visual representation)
Basically everywhere you see the same country you should see the same TotalSalesPerCountry values which are calculated by sum-ing the Sales for those countries over the years.
Another DAX function:
= CALCULATE(SUM(CountrySales[Sales]), FILTER(CountrySales, CountrySales[Country] = EARLIER (CountrySales[Country])))
This is simple to do in DAX. Add the column:
TotalSalesPerCountry =
var curCountry = yourTable[Country]
return CALCULATE(SUM(Sales), FILTER(yourTable, curCountry = yourTable[Country]))
Explanation:
For each row in the table, get the country. Filter yourTable on the curCountry and SUM this together).
I have 2 tables in PowerBI.
Table 1:
Table 2:
I have the sales target for each month in Table 1 and also the actual sales that I achieved in Table 2. May I know how should I create another column in Table 1 where it sum all the sales from Table 2 based on respective months? The expected output will be something like this:
Expected output:
Any help or advise will be greatly appreciated!
Here's one potential solution:
Summarize table two so that it groups the total sales by month. You can do this by grouping on the month in power query, or using a dax function like SUMMARIZE.
Create your new column in table 1 using the LOOKUPVALUE function. It will look something like this LOOKUPVALUE(Total Sales, Date, Month & Yrs).
Make a relationship between Table 1 and Table 2 using "Month & Yrs" and "Date".
Then it's just a matter of adding a table with "Month & Yrs" as rows, and "Sales Target" and "Sales" as values. You can then just rename if you want.
I'd recommend using a calendar dimension as a general rule. Much easier to make relationships, add columns etc.
Power BI newbie here and I'm trying to figure how to craft my DAX to manipulate my measure values based on certain criteria in the other two tables.
Currently I have 2 separate tables which are joined by a One to Many relationship and a separate Measures table. (Total Sales Price is computed as sum of Sales Price)
My aim is to create a new measure where Total Sales Price is multiplied by 1.5x when DIM_Product_Type[Product Category] = "High".
New Measure =
CALCULATE (
SUM ( FACT_PriceDetails[Sales Price] ),
FILTER ( DIM_Product_Type, DIM_Product_Type[Product Category] = "High" )
) * 1.5
However this returns no values in my visual and I'm trying to discern if its a matter of the table joins or the DAX expressions.
Thank you for your time!
Your measure seems good.
It will select only those products with a Product Category of "High" and multiply them by 1.5 to give you result. i.e. Give me the sum of all "High" Product category Price details multiplied by 1.5.
What you need to check is:
Product Serial Numbers match across the two tables
Your Product Category does indeed contain the category "High"
You have entries in FACT_PriceDetails that link to a DIM_Product_Type that has a category of "High"
Check you have not set any filters that could be hijacking your results (e.g. excluding the "High" product category product type or the realated fact/s)
Option-1
You can do some Transformation in Power Query Editor to create a new column new sales price with applying conditions as stated below-
First, Merge you Dim and Fact table and bring the Product Category value to your Fact table as below-
You have Product Category value in each row after expanding the Table after merge. Now create a custom column as shown below-
Finally, you can go to your report and create your Total Sales measure using the new column new sales price
Option-2
You can also archive the same using DAX as stated below-
First, create a Custom Column as below-
sales amount new =
if(
RELATED(dim_product_type[product category]) = "High",
fact_pricedetails[sales price] * 1.5,
fact_pricedetails[sales price]
)
Now create your Total Sales Amount measure as below-
total_sales_amount = SUM(fact_pricedetails[sales amount new])
For both above case, you will get the same output.
I have two tables. First one represents sales values of company by department, product ID and month. Second table contains sales target by department and month. I want to add a column to second table. It should shows sum of values from table 1 with grouping department and month.
For Example:
For 310101 in Februray sum of values is 110. So, the first row of table 2 should be 110.
Can you please help me with this DAX function?
Create a calculated column in both tables which will represent an unique ID (Eg: ID = Table1[Dpt ID] & Table1[Month]) and join the both tables by this ID field to create a relationship between these 2 tables.
Now, select all the columns from Table 2 and also select Value column from Table 1. You should get the sum by department.
I have four tables which I have tried related and unrelated:
Store (column "Store Number")
Calendar (column "Sales Date")
SKU (column "SKU Code")
Sales (columns "Store Number", "Sales Date",
"SKU Code" and "Sales Quantity")
I have slicers on the Calendar and SKU tables
I need to list all stores with total "Sales Quantity" for each store and at the same time to limit the sales quantity to the two slicers mentioned above. Basically, I need to list these columns:
Store Number - from the Store table (no filtering from Slicers)
Store Name - from the Store table (no filtering from Slicers)
Total Quantity of Sales for the Store - calculated measure filtered by Calendar and SKU slicers
So my question is, what DAX required to create the calculated measure?
Please note I must list ALL stores regardless of whether they have sales in the stipulated period.
I've tried various DAX functions such as TREATAS, SUMMARIZE, ETC.
I've tried with and without active relationships and with no relationships.
The closest I've got is the code below, but it excludes stores with zero sales. I need all stores regardless of their sales.
Qty by Store = CALCULATE(
sum(Sales[Sales Qty])
,USERELATIONSHIP(
Sales[Store Number]
,Store[Store Number]
)
)
The problem with the output I've managed is that stores without sales are excluded from the list. I need to have them included.
Keep the relationship active, and change the DAX formula to
Qty by Store =
VAR res = sum(Sales[Sales Quantity])
RETURN IF (ISBLANK(res), 0, res)
There is no need for USERELATIONSHIP(). Relationship Store - Sales is already active. The reason why the number of stores changes in the table visual is because when there is no sale for a particular store Qty by store measure returns BLANK and those BLANKs get filtered out by the table.
Result:
An easy way to make a blank return zero instead is to simply append +0 to your measure formula.
Qty by Store = SUM ( Sales[Sates Quantity] ) + 0
This works because DAX calculates BLANK() + 0 = 0.