October 28 & 29: Experts share their secrets on how to pass the Fabric Analytics Engineer certification exam—live. Learn more
Hi team,
Could anyone help me with the below dax requirement? I have a table with product, sub-product, Quantity Sold and Stock available.
Product | Sub-Product | Bought by customer? | Stocks Available |
Sports | lewis | 1 | 4 |
Sports | lewis | 1 | 4 |
Sports | Lewis | 1 | 4 |
Sports | Lewis | 1 | 4 |
Sports | J1 | 1 | 5 |
Sports | J1 | 1 | 5 |
accessories | Jacks | 1 | 3 |
accessories | Jacks | 1 | 3 |
I need to find out the sub product that has no stocks. For example, under sports product- Lewis sub category the count of Yes in the bought by customer field is equal to the value in stocks available, so I need to increase the count to 1, while for j1 the condition didn't satisfy so the count need not be increased.
I really appreciate if anyone can help me with the requirement.
Thank you!
Solved! Go to Solution.
@AV_04 , Okay then please create a column as below:-
_no_stocks_left =
VAR cust_bought =
COUNTROWS (
FILTER (
'Table',
'Table'[Product] = EARLIER ( 'Table'[Product] )
&& 'Table'[Sub-Product] = EARLIER ( 'Table'[Sub-Product] )
)
)
VAR stock_available =
CALCULATE (
MAX ( 'Table'[Stocks Available] ),
FILTER (
'Table',
'Table'[Product] = EARLIER ( 'Table'[Product] )
&& 'Table'[Sub-Product] = EARLIER ( 'Table'[Sub-Product] )
)
)
VAR _result = stock_available - cust_bought
RETURN
IF ( _result = 0, 1,0 )
Then create a measure as below:-
Measure =
CALCULATE(DISTINCTCOUNT('Table'[Sub-Product]),FILTER('Table','Table'[_no_stocks_left] = 1))
Refer a file below:-
Best Regards,
Samarth
If this post helps, please consider accepting it as the solution to help the other members find it more quickly.
Appreciate your Kudos!!
Connect on Linkedin
Hi @AV_04 ,
If I undestand your question correctly then below would be your code:-
_stocks =
VAR cust_bought =
COUNTROWS (
FILTER (
'Table',
'Table'[Product] = EARLIER ( 'Table'[Product] )
&& 'Table'[Sub-Product] = EARLIER ( 'Table'[Sub-Product] )
)
)
VAR stock_available =
CALCULATE (
MAX ( 'Table'[Stocks Available] ),
FILTER (
'Table',
'Table'[Product] = EARLIER ( 'Table'[Product] )
&& 'Table'[Sub-Product] = EARLIER ( 'Table'[Sub-Product] )
)
)
VAR _result = stock_available - cust_bought
RETURN
IF ( _result = 0, stock_available + 1, stock_available )
Output:-
Best Regards,
Samarth
If this post helps, please consider accepting it as the solution to help the other members find it more quickly.
Appreciate your Kudos!!
Connect on Linkedin
Hi Samarth,
Thanks for your response, Apologies if my question wasn't clear. My requirement is just to count the sub category. For example, in the sub category field of lewis, the count of 1 in bought by customer field is 4 which is equal to the value in stocks available(4), only when they are equal I need to consider and count those instances. Could you kindly let me know if my question wasn't clear, I can try to rephrase it again. Thanks for your help.
Above code satify this condition right?
Could you please share your final required output based on provided data?
Best Regards,
Samarth
If this post helps, please consider accepting it as the solution to help the other members find it more quickly.
Appreciate your Kudos!!
Connect on Linkedin
Thanks samarth. I am halfway through the solution, I just need the distinct count of sub category that goes out of stock. Here in the above table the count will be only one (Lewis), incase if any other sub category within product satisfies the condition, we need to do count+1. I am not sure how to draw the resultant up in a table.
Product | Sub-Product | Bought by customer? | Stocks Available |
Sports | lewis | 1 | 4 |
Sports | lewis | 1 | 4 |
Sports | lewis | 1 | 4 |
Sports | lewis | 1 | 4 |
Sports | J1 | 1 | 2 |
Sports | J1 | 1 | 2 |
accessories | Jacks | 1 | 3 |
accessories | Jacks | 1 | 3 |
Sports | chrome | 1 | 2 |
Sports | chrome | 1 | 2 |
For the above table the resultant count should be 3 since lewis, j1 and chrome satisfies the condition.
I hugely thank you for the solution. I just started with my advanced dax journey hopefully can catch up soon.
@AV_04 , Okay then please create a column as below:-
_no_stocks_left =
VAR cust_bought =
COUNTROWS (
FILTER (
'Table',
'Table'[Product] = EARLIER ( 'Table'[Product] )
&& 'Table'[Sub-Product] = EARLIER ( 'Table'[Sub-Product] )
)
)
VAR stock_available =
CALCULATE (
MAX ( 'Table'[Stocks Available] ),
FILTER (
'Table',
'Table'[Product] = EARLIER ( 'Table'[Product] )
&& 'Table'[Sub-Product] = EARLIER ( 'Table'[Sub-Product] )
)
)
VAR _result = stock_available - cust_bought
RETURN
IF ( _result = 0, 1,0 )
Then create a measure as below:-
Measure =
CALCULATE(DISTINCTCOUNT('Table'[Sub-Product]),FILTER('Table','Table'[_no_stocks_left] = 1))
Refer a file below:-
Best Regards,
Samarth
If this post helps, please consider accepting it as the solution to help the other members find it more quickly.
Appreciate your Kudos!!
Connect on Linkedin
Thank you very much samarth. This one works!
User | Count |
---|---|
105 | |
99 | |
98 | |
86 | |
49 |
User | Count |
---|---|
162 | |
142 | |
132 | |
102 | |
63 |