hey everyone,
i have a quick question , if you can help me with that,
in my power query i face one issue/or problematic
my data is in column structured (exemple below) i can unpivot the data for more flexibility and automation ,
but i'm asking myself if the fact that i get a lot of duplicate in some of culumns after unpivoting, will not affect my result when i aggregate through dax measures ???? (average - median - text analysis - stdev -..... date comparison )
for exemple i know i can't anymore count the number of rows/of responses, since i dont have ids to count the distinct one (emails are not mondatory, some felt) (i can try to divide the count of row on the number of cols i unpivot , but perhaps it not so a good idea)
data exemple, let say i have response to a survey
date - question 1 - question 2 - question 3 - question 4 - email - company - comment - language
01-01-2022 Res 1 Res 1 Res 1 Res 1 1@gm.com empty not so good en
01-01-2022 Res 2 Res 2 Res 2 Res 2 2@gm.com google good fr
01-02-2022 Res 3 Res 3 Res 3 Res 3 3@gm.com micros null de
-- afrer unpivot :
date attribute value email company comment language
01-01-2022 question 1 Res 1 1@gm.com empty not so good en
01-01-2022 question 2 Res 1 1@gm.com empty not so good en
01-01-2022 question 3 Res 1 1@gm.com empty not so good en
01-01-2022 question 4 Res 1 1@gm.com empty not so good en
01-01-2022 question1 Res 2 2@gm.com google good fr
01-01-2022 question2 Res 2 2@gm.com google good fr
01-01-2022 question 3 Res 2 2@gm.com google good fr
01-01-2022 question4 Res 2 2@gm.com google good fr
.........
then my question is, did you already face this situation , what should i take care on ?? will i have false result if i 'm not careful
i will now compare the two situation with some aggregation , but i want you confirmation too, please let me know
thank you ,
