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I have done a bit of search in the forum & couldn't find scenario matching with one that I have got, hence this post.
Scenario here is if I am running Daily/Magazine distribution centre and delivering them directly to my subscribers as per the below annexed table.. I would like to ascertain the below :
a) Average minutes taken per day (composite of Dailies, Weeklies & Monthly)
Description | Category | Frequency | Time taken (in Mins) | Days | Total time consumed per day (Time Taken (in Mins) <divided by> Days) |
The New York Times | Newspaper | Daily | 50 | 1 | 50.00 |
USA today | Newspaper | Daily | 30 | 1 | 30.00 |
Chicago Tribune | Newspaper | Daily | 20 | 1 | 20.00 |
The Wall Street Journal | Newspaper | Daily | 40 | 1 | 40.00 |
The Washington Post | Newspaper | Daily | 35 | 1 | 35.00 |
Cosmopolitan | Magazine | Weekly | 120 | 7 | 17.14 |
Sports illusrated | Magazine | Weekly | 75 | 7 | 10.71 |
People | Magazine | Weekly | 60 | 7 | 8.57 |
Los Angeles Times | Magazine | Weekly | 110 | 7 | 15.71 |
National Geographic | Books | Monthly | 180 | 30 | 6.00 |
Vanity Fair | Books | Monthly | 110 | 30 | 3.67 |
Golf Magazine | Books | Monthly | 140 | 30 | 4.67 |
20.12 |
Solved! Go to Solution.
Hi,
I am not sure how your semantic model looks like, but please try something like below.
I tried to create a sample pbix file like the attached file.
expected result measure: =
AVERAGEX(Data,
DIVIDE(Data[Time taken (in Mins)], Data[Days])
)
Hi,
I am not sure how your semantic model looks like, but please try something like below.
I tried to create a sample pbix file like the attached file.
expected result measure: =
AVERAGEX(Data,
DIVIDE(Data[Time taken (in Mins)], Data[Days])
)
User | Count |
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12 | |
11 | |
8 | |
6 | |
6 |
User | Count |
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24 | |
19 | |
14 | |
10 | |
7 |