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question about groupby windowing(?)

User: "user194372"
New Altair Community Member
Updated by Jocelyn

Hello, everyone

How are you?


I have one question.


My data look like below


city / date / amount

NY / 20210401 / 100

NY / 20210402 / 150

NY / 20210403 / 50

NY / 20210404 / 30

LA / 20210401 / 40

LA / 20210402 / 20

LA / 20210403 / 50

Chicago / 20210401 / 30

Chicago / 20210402 / 40

Huston / 20210401 / 30

Huston / 20210402 / 20

Huston  / 20210403 / 40

....

....

....

In this data, there are over 1 thousand cities (hugh number of cities)


I want to create a new variable (previous amount) in the data above, like this


city / date / amount / previous amount

NY / 20210401 / 100 / NA

NY / 20210402 / 150 / 100

NY / 20210403 / 50 / 150

NY / 20210404 / 30 / 50

LA / 20210401 / 40 / NA

LA / 20210402 / 20 / 40

LA / 20210403 / 50 / 20

Chicago / 20210401 / 30 / NA

Chicago / 20210402 / 40 / 30

Huston / 20210401 / 30 / NA

Huston / 20210402 / 20 / 30

Huston  / 20210403 / 40 / 20


That is, I want to generate a lagged variable for each city


So I used operator "Loop by value" and "Filter example" and "Windowing"

but it requires hugh amount of memory and it was very slow


So could you please help me with this task?

How can I do this task using rapidminer operator?


Thank you in advance



 

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1 - 4 of 41
    Hi,
    please try: Group Into Collection and then Loop Collection with Windowing inside. That can be more efficient. But keep in mind that Windowing just multiplies your data by window_size. So it just can become big.

    ~Martin
    User: "user194372"
    New Altair Community Member
    OP

    Hello, mschmitz:


    Thank you so much for your help and care.

    It helped me a lot.

    Have a nice day and see you again.

    User: "YYH"
    Altair Employee
    Try the "lag" operator as well. You can lag by 1 or by -1 unit for each city. 
    User: "user194372"
    New Altair Community Member
    OP

    Hello, yyhuang.

    Thank you for your comment.

    Right, there is a "lag" operator. I can remember.

    Have a nice day and see you, yyhuang.