Suppose you are working on different inbuilt functions for performing data modeling on your application data. You have table say "mytable" which has a specific column called "Year". This field represents the calendar year. Now, you want to create a new calculated table with name "mytable2" having exact same number of columns as of "mytable" and get only those rows having the "Year" value as "2022". Pick the appropriate code snippet. mytable2 = NEW FILTER( 'mytable'[Year]=2022, mytable ) mytable2 = NEW FILTER( mytable, 'mytable'[Year]=2022 ) mytable2 = FILTER( mytable, 'mytable'[Year]=2022 ) mytable2 = FILTER( 'mytable'[Year]=2022, mytable )
Question
Suppose you are working on different inbuilt functions for performing data modeling on your application data. You have table say "mytable" which has a specific column called "Year". This field represents the calendar year. Now, you want to create a new calculated table with name "mytable2" having exact same number of columns as of "mytable" and get only those rows having the "Year" value as "2022". Pick the appropriate code snippet.
mytable2 = NEW FILTER( 'mytable'[Year]=2022, mytable )
mytable2 = NEW FILTER( mytable, 'mytable'[Year]=2022 )
mytable2 = FILTER( mytable, 'mytable'[Year]=2022 )
mytable2 = FILTER( 'mytable'[Year]=2022, mytable )
Solution
The correct code snippet is:
mytable2 = FILTER( mytable, 'mytable'[Year]=2022 )
This code creates a new table "mytable2" by filtering the original "mytable" where the "Year" column equals 2022. The FILTER function in this context is used to return all columns from the original table for the rows where the condition is true.
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