I have a simple table with a name field and a count(distinct) field and I am trying to figure out how to show only the TOP N records based on the count(distinct) column, the sorting and the count works great I just cannot find the option to limit it to top N records
The solutions I know are:
Use RANK calculation, then inserting a filter
Create a new table in dax using the TOPN function
https://dax.guide/topn/
NewTable = TOPN(100, YourTable
, YourTable[ColumnToOrder]
, DESC)
Related
I am struglling to getting top 25 unique customers when filtering the table using Alert_Id. Basically, I have these columns in table which you can find below. The goal is to show top 25 unique customers based on highest value. The Item can be repeated but name has to be unique. I have tried so many different things but nothing seems to be working as expected because of Multiple customers have used multiple items and hence I am getting duplicate rows. The table has to be dymic because whenever user filters the table using Alert_id it should return those top unique customers that associated with Alert_id(Alert_id is a single selection). So whenever user select their Alert_id that table should display their data. I have tried below measure,
First I created calculated column to break the tie for price because many Item shares the same price:
max price = Table[PRICE] + RAND()
Then I created another column to get max price for the customer name:
MAX column for table = CALCULATE(MAX('Table'[max price]), ALLEXCEPT(Table, Table[CUSTOMER_NAME]))
Then I created calculated table using these columns:
SELECTCOLUMNS(
FILTER(Table, Table[max price]=Table[MAX column for table]), "Name" ,Table[CUSTOMER_NAME],"Item",Table[ITEM], "PRICE",Table[MAX column for table], "Alert_ID", Table[ID], "DATE", Table[REQ_DATE], "ITEM_COUNT", Table[PK])
But, this is giving me all unique customers with the MAX value and I am getting blank table when I filter with Alert_ID even thought it has data but the customers are not with the MAX value. Basically, It's not dynamically capturing max values for each customer_name when filter is applied. And, I if there are multiple rows with same customer name which can have same exact value then I would choose any random row without considering which ITEM it is. I just want top 25 unique customers for one Alert_ID.
Here is the sample data,
Here is expected output if I select Alert_ID = 123 from filter and it can be different when I select different Alert_ID.
FYI: I have tried topn with max price and even with RANKX but no luck. I always endedup having multiple customers.
Any help or lead will be highly appreciated!
I was able to figure out how to get unique values. Here is the solution that worked for me.
First, I created calculated column with my price column and RAND function to break the ties:
sum value = Table[PRICE] + RAND()
Then, I have created one measure that calculates the rank:
rank with table = RANKX(CALCULATETABLE(VALUES('Table'[ITEM]), ALLSELECTED('Table'[ITEM])),CALCULATE(SUM(Table[sum value])), ,DESC, Dense )
Then I applied the filter on NAME column to get top 25 based on sum value calculated column. Also, dragged my measure on filters pane and applied the filter where Rank with table = 1.
That's how I got unique names with highest valued ITEM.
I'm a newbie in DAX and I'm trying to create a visual in Power BI that shows the top 10 customers by sales.
I tried to create a calculated column in the 'Food sales' table, but I couldn't figure out how to create the rank by client ID.
I ended up creating a summary table in the model:
Consolidation Ventes =
SUMMARIZE('Food Sales',
'Food Sales'[ID Client],
"Ventes",SUMX('Food Sales', 'Food Sales'[Quantité]*'Food Sales'[Prix de vente])
)
and adding the rank calculated column like that:
Rank = RANKX('Consolidation Ventes', 'Consolidation Ventes'[Ventes],,DESC,Dense)
I obtained what I was looking for:
But I'm pretty sure there's a better way to do it, without creating an extra table in the model.
I tried creating a measure instead, but it always returned "1" and I couldn't understand why...
Is there a better way to achieve the same result?
Is there a way to create a measure instead of a calculated column, to create dynamic ranks in order to slice the with more than one column (like for example, customer name and product type)?
I hope this helps:
#Orders := COUNTROWS(Sales)
SalesAmount := SUMX(Sales,Sales[Quantity]*Sales[Price])
TopN :=
COUNTROWS(INTERSECT(
CALCULATETABLE(
TOPN(5,VALUES(Customers[Name]),[SalesAmount],DESC),
ALL(Customers)
),
CALCULATETABLE(VALUES(Customers[Name]))
))
You add the TopN measure to "Filters on this visual" and define the filter condition to "TopN is 1".
Trying to sort a column in my custom date table (a csv file) via a calculated column in the same table but am seeing an error. The calculated column does not reference the column I wish to sort by. Here's the DAX for the calculated column:
PeriodOffset =
Dates[Period] + Dates[FiscalYear] * 13
- CALCULATE ( VALUES ( Dates[Period] ), Dates[Date] = TODAY () )
- CALCULATE ( VALUES ( Dates[FiscalYear] ), Dates[Date] = TODAY () ) * 13
My date table has every date from 2003/4 to 2034/35, along with custom period numbers, calendar and fiscal years etc. The column I am trying to sort is called PeriodFiscalYear. Each value in that column has only one entry in the PeriodOffset column so it's not that.
The weird thing is, I have had this working in a previous report. In this instance, I was simply trying to recreate the functionality but it won't do it. Even stranger, if I create the PeriodFiscalYear column as a calculated column (currently it's hard-coded in the csv file), it works! So I have a sort-of workaround, I would just like to understand what is going on.
Thanks
I believe this has to do with the fact that data column are sorted when data are ingested into PBI. Calculated columns are calculated only at a later time.
Therefore:
you can sort data column only with other data columns (because calculated columns have not been calculated yet)
you can sort calculated column with both data column and calculated column
Solution:
A) PeriodFiscalYear becomes a calculated column
B) PeriodOffset becomes a data column (either in your CSV or Power Query)
I actually figured this out. The problem was with my data model - I had a circular relationship in there as I was deriving the Period column in one table using my calendar table then linking them back in the relationship!
I created a linking table with the keys in both to make the relationship, then hid it.
Thanks
I have table with millions of rows, and I need to count distinct a column, after eliminating records using a user selection , say a table or slicer..
I tried the function , values , distinct count .. none of them are working as expected .
unique opners = DISTINCTCOUNT( 'dw useraction_fact'[user_id])
I expect to get a distinct count of users acting to a project that I can select, but the distinct count is calculated for each project and it's summed up.
This might be very basic but I am new to PowerBI.
How do I get average of values for unique ID into another table.
For eg. My Table 1 has multiple ID values. I have created another table for unique ID which I am planning to used to join other table.
I want a calculated column in table 2 which will give me average value of respective ID from table 1.
How do I get the calculated column like shown below
In stead of creating a new table with the averages per ID and then joining on that, you could also do it directly with a calculated column using the following DAX expression:
Average by ID = CALCULATE(AVERAGE('Table 1'[Values]),ALLEXCEPT('Table 1','Table 1'[ID]))
Not exactly what you asked for, but maybe it's useful anyway.
How's it going?
The quickest way I can think of doing this would be to use
SUMMARIZECOLUMNS
You can accomplish this by creating another table based on your initial fact table like so:
Table 2 =
SUMMARIZECOLUMNS ( 'Table 1'[ID], "Avg", AVERAGE ( 'Table 1'[Values] ) )
Once this table has been created, you can create a relationship.
This will work in either SSAS or in PowerBI directly.
Hope this helps!! Have a good one!!