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Hi ALL,
I am stuck with a scenario wherein I need to identify whether the user has breach a particular condition in previous month.
In the dataset i have three rows for each user for three month. Each month the fact value is different and i have created a calculated column which tells whether the user adheres or not . Based on that calculated column i need to find how many times the user has breached the policy. So if the user has "HIGH risk" as the value in that column in past two months I need to highlight that particular user..
Note I have two different date columns and it needs to be calculated using these two different date.
Attached is the sample dataset as well
Name Plan | MI_SUBSCRIPTION_ID | CHARGED_MB | UNIQUE_CALLS | TOT_INCOMING_CALLS | TOT_OUTGOING_CALLS | OG_CHARGED_MINS | IC_CHARGED_MINS | MI_FROM_DATE | MI_TO_DATE | Abuser Descr |
Rose | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 01-Oct | 31-Oct | Fair Use |
Rose | 1 | 3 | 4 | 5 | 6 | 7 | 8 | 31-Oct | 30-Sep | High Risk |
Lotus | 3 | 4 | 4 | 7 | 9 | 8 | 12 | 01-Oct | 30-Nov | High Risk |
Rose | 1 | 12 | 3 | 4 | 5 | 5 | 6 | 01-Aug | 30-Aug | High Risk |
your second row covers 2 months, 31 oct -> 30 sept, is both oct and sept. what is your logic for determining the "month" of each row ?
Help when you know. Ask when you don't!
Hi @kentyler -
I am using Single active relationship between my date dim and from date. And calculating the values accordingly.
User | Count |
---|---|
25 | |
11 | |
8 | |
6 | |
6 |
User | Count |
---|---|
30 | |
13 | |
11 | |
9 | |
6 |