I have two tables: Sales and VIPS. The sales table will include customers who are not in the VIP Customer table.
I want to create a Measure to find a distinct count of VIP Customers in the Sales table who have bought a sale and a non-sale product.
I’ve been trying to filter the Sales Table on the VIP Customer table, to get sales only relating to VIPs and then Distinct Counting those but I’ve had no success.
VIPSales =
CALCULATE (
DISTINCTCOUNT ( Sales[USERID] ),
Sales[SaleItem] = 1 || Sales[SaleItem] = 0,
CROSSFILTER ( Sales[UserID], VIPS[UserID], ONEWAY_LEFTFILTERSRIGHT )
)
How about counting which VIPs have two distinct SalesItem values?
VIPSales =
COUNTROWS (
FILTER (
VALUES ( VIPS[UserID] ),
CALCULATE ( DISTINCTCOUNT ( Sales[SaleItem] ) ) = 2
)
)
This assumes there is a one-to-many relationship where VIPS filters Sales. If not, then you'll need an extra argument for CALCULATE to do the filtering.
Related
i need to calculate the distinct count of panel names based on distinct vehicle no's
ex: for 6073kxx vehicle -distinct count of panels are 7 . please provide a dax calculation for this. this is sample data I have more vehicle numbers.
Just create a measure to do the distinctcount on the other column.
Create a measure:
Distinct Count of Panels = DISTINCTCOUNT('your Table name here'[Vehicle No])
Try this measure
Measure =
SUMX ( VALUES ( 'Table'[Vehicle No] ), DISTINCTCOUNT ( 'Table'[panel name] ) )
How to filter all products on promotion? Say we have two tables Sales and Budget without physical relationship. Here model is simplified and let's assume that it is the case, we cannot create physical relationship. We have to use virtual relationship.
We can see summary:
The two first columns are of the Sales table. The third column BudgetTreats is a measure:
BudgetTreatas =
CALCULATE (
SUM ( Budget[amount] ),
TREATAS (
VALUES ( Sales[id] ),
Budget[id]
)
)
Now I would like to resolve two things:
How to make a slicer to filter out only the products (id) which have BudgetTreatas?
How to create a measure for calculating sales but only for products which have a budget? So analogous measure as BudgetTreatas presented above.
And of course sample data: DAX TREATS.pbix
I posted an answer to my question but it is not to show an answer but rather to show working solutions, and give you idea on expected results. I would be grateful for any answer or comments.
References:
The Logic behind the Magic of DAX Cross Table Filtering
Virtual Filters Using TREATAS
How To Use The TREATAS Function - Power BI & DAX
Creating Virtual Relationships Using TREATAS - Advanced Power BI Technique
Measure calculating Sales filtered by ids in Budget table.
Surprisingly this is not working:
//not working:
SalesFilteredByBudget1 =
CALCULATE (
[Sales],
TREATAS ( VALUES ( Budget[id] ), Sales[id] )
)
It seems we need an extra table. If we add to the model a Bridge table with all sales id and connect it to Sales table on id (without connecting it to Budget table!) we may resolve the issue.
//works:
SalesFilteredByBudget2 =
CALCULATE (
[Sales],
TREATAS ( VALUES ( Budget[id] ), Bridge[id] )
)
So it seems filters propagate further from tables used in TREATAS( VALUES on the tables connected by physical relations.
If we want to make a measure without Bridge table we can make extra table as a table variable.
// works:
SalesFilteredByBudget3 =
VAR Lineage =
TREATAS ( VALUES ( Budget[id] ), Sales[id] )
VAR tbl =
CALCULATETABLE ( Sales, KEEPFILTERS ( Lineage ) )
VAR result =
CALCULATE ( SUMX ( tbl, [amount] ) )
RETURN
result
I have table "Sales" (fields: Product, Country, Date, Sales) with monthly sales across many products and countries. Also I have tables with calendar, list of products, list of counties that are linked with this table. I want to add column to "Sales" with running total sales across each Product/Country, see the field with desired result "Running total".
I tried to use
YTD = TOTALYTD(SUM(Sales[Sales]); Calendar[Date]) but it didn't work. I think I need to use filters in TOTALYTD function, but I also didn't manage to understand how. Can you suggest to me a right solution to my case?
Table "Sales"
I was suggested to use this code
Column =
SUMX (
FILTER (
Sales,
Sales[Product] = EARLIER ( Sales[Product] )
&& Sales[Country] = EARLIER ( Sales[Country] )
&& Sales[Date] <= EARLIER ( Sales[Date] )
&& YEAR ( Sales[Date] ) = YEAR ( EARLIER ( Sales[Date] ) )
),
Sales[Sales]
)
It worked.
I partially coped with my issue by creating set of measures for each combination of product and country:
A_US = TOTALYTD(SUM(Sales[Sales]);'Calendar'[Date];FILTER(All(Sales);Sales[Product]="A"&&Sales[Country]="US"))
A_Canada = TOTALYTD(SUM(Sales[Sales]);'Calendar'[Date];FILTER(All(Sales);Sales[Product]="A"&&Sales[Country]="Canada"))
and so on. But what if i have 100 products and 30 countries? I think I need to create a column "Running total" in "Sales" that calculates running total for each product and aech country.
The problem of the TOTALYTD function is that it takes only one filter.
The tricks is to use the filter function like you do on the second response.
To use only one column for all product and country you have to get the context of the current row .
To achieve this you have the function earlier in dax.
Here the documentation about earlier : https://learn.microsoft.com/en-us/dax/earlier-function-dax
The column need to be build with this expression :
TOTALYTD(SUM(Sales[Sales]),'Calendar'[Date],filter(Sales,and(Sales[Country]=EARLIER(sales[Country]),sales[Product] = EARLIER(sales[Product]))))
I am having trouble working out a measure (Revenue) in power bi.
I have a measure which is basically counting distinct values in a table (table 1). From this column I want to multiply the distinct count to get the total price (prices are in another table).
See below for an example
Table 1
Product DistinctCount Revenue (Measure I am trying to Calculate)
A 15 45.00
B 30 60.00
Prices Table
Product Price
A 3.00
B 2.00
At the moment the Revenue is calculating based on COUNT and not DISTINCTCOUNT.
Any help would be much appreciated.
thanks!
Measures, Calculated Columns, Google
I am assuming you have a relationship set up between these two tables on [Product]. If this is the case you can do something like this to create a calculated column:
Revenue =
CALCULATE (
SUMX ( 'Table 1', 'Table 1'[DistinctCount] * RELATED ( 'Prices Table'[Price] ) )
)
If you are trying to create a table visual try the DAX below, where ID is just a transaction ID for each product in your 'Table 1':
Revenue =
VAR DistinctCountOfProductTransactions =
CALCULATE ( DISTINCTCOUNT ( 'Table'[Id] ) )
VAR Result =
CALCULATE (
DistinctCountOfProductTransactions * SUM ( Prices[Price] ),
TREATAS ( VALUES ( 'Table'[Product] ), Prices[Product] )
)
RETURN
Result
After googling for two pages, I'm struggling to find a simple way to create a cumulative sum measure by date and item in Power BI (using DAX). I have a table which contains:
Username
Date (DD-MM-YYYY)
Number of requests in that day
I have managed to obtain the cumulative sum by using the following expression (extracted from DAXPatterns):
CALCULATE (
SUM ( Table[Requests] ),
FILTER (
ALL ( 'Date'[Date] ),
'Date'[Date] <= MAX ( 'Date'[Date] )
)
)
But I would like to obtain a measure indicating how many requests have been made by a user up to a certain date.
Is there a simple way to do this?
Create calculated table using SUMMARIZECOLUMNS function and apply filter that you need on the top of that calculated table.
YourCalcTableName =
SUMMARIZECOLUMNS (
'UsernameTable'[Username],
'Date'[Date],
"Number Of Requests", SUMX ( 'UsernameTable', 'UsernameTable'[NumberOfRequests] )
)
This calculated table essencialy produces 3 column table with user name, date and number of requests sent by this user on this date.
SUMMARIZECOLUMNS