First and Second Product

[Anonymous]

Hi, everyone, im trying to calculate a new column for the first and second product, I have 3 columns as User, Product and Date, what I want is the "FirstProduct" and "SecondProduct" as the example below. 

Thank you

User	Product	Date	FirstProduct	SecondProduct
A	Key1	01/01/2020 14:00	Key1	Key2
A	Key1	02/01/2020 14:00	Key1	Key2
B	Key2	03/01/2020 14:00	Key2
A	Key2	04/01/2020 14:00	Key1	Key2
C	Key1	05/01/2020 14:00	Key1	Key3
C	Key3	06/01/2020 14:00	Key1	Key3
C	Key4	07/01/2020 14:00	Key1	Key3
A	Key4	08/01/2020 14:00	Key1	Key2
D	Key7	10/01/2020 14:00	Key7	Key1
D	Key1	15/01/2020 14:00	Key7	Key1

[Ashish_Mathur · Accepted solution]

Hi,

Try these calculated column formulas

First date of user = 

=CALCULATE(MIN(Data[Date]),FILTER(Data,Data[User]=EARLIER(Data[User])))

First product = 

LOOKUPVALUE(Data[Product],Data[User],Data[User],Data[Date],Data[First date of user])

Second date of user = 

CALCULATE(MIN(Data[Date]),FILTER(Data,Data[User]=EARLIER(Data[User])&&Data[Date]>Data[First date of user]&&Data[Product]<>EARLIER(Data[First product])))

Second product = 

=LOOKUPVALUE(Data[Product],Data[User],Data[User],Data[Date],Data[Second date of user])

[Mikelytics]

Hi @Anonymous 

Please try the following:

first product = 
SELECTCOLUMNS(
    TOPN(
        1,
        FILTER(ALL(fact_table_d),
            fact_table_d[Customer]=EARLIER(fact_table_d[Customer])
        )
        ,
        fact_table_d[Date],
    ASC 
    )
,"any name, it does not matter"
,fact_table_d[Product]
)

This calulcated column identifies all rows of the customer and sorts it by date. Then it takes value of the product column from the first row which is the first product bought by the customer.

for the seconf product use the following

second product = 
SELECTCOLUMNS(
    TOPN(
        1,
        FILTER(ALL(fact_table_d),
            fact_table_d[Customer]=EARLIER(fact_table_d[Customer])
            && fact_table_d[Product] <> EARLIER(fact_table_d[first product])
        )
        ,
        fact_table_d[Date],
    ASC 
    )
,"any name"
,fact_table_d[Product]
)

It is nearly the same query with the only exception that it also filters out the first product bought. So taht if somebody bought the same product twice in a row it will be ignored.

Best regards

Mikelytics

Did I solve your request? Please mark my post as solution.

Appreciate your Kudos.

[parry2k]

@Anonymous seems like your business rule for 1st and 2nd product is to get based on the date within each user group.

See attached solution, you can tweak it as you see fit.

Check my latest blog post Compare Budgeted Scenarios vs. Actuals I would ❤ Kudos if my solution helped. 👉 If you can spend time posting the question, you can also make efforts to give Kudos to whoever helped to solve your problem. It is a token of appreciation!

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[VijayP]

@Anonymous 

I think if you can explain the logic of First and 2nd Columns then solution will be much easier, What is the basis of the new columns