Get certified in Microsoft Fabric—for free! For a limited time, the Microsoft Fabric Community team will be offering free DP-600 exam vouchers. Prepare now
I have tryed to solve this with DAX on/off for a couple of weeks now with limited success.
I have a large table that each day is filled with subscription data by a script, sometimes the script runs twice, and create duplicate data with different timestamps (DateTime collum).
I wish to identify the duplicates and filter them out in my visuals.
My idea was to first identify if there was a duplicate entry on a given date by counting SubscriptionID, since this should be uniqe each day, adding a True/False collum called "Have Duplicate". Then I would add a True/False collum called "Is Duplicate" determing this using the "Have Duplicate" collum and setting all entries after the first DateTime as True.
I can do a count on SubscriptionID just fine, idetifing if there is duplicates, but as soon as I try to use DateTime to set the "Is Duplicate" it breaks.
I have a DateTable that is related to the Date collum, and I suspect that it is the one breaking it, buy have run out of ideas to solve this.
Best Regards
Ole
Solved! Go to Solution.
Did you tried selecting all the columns except the timestamp column? Do you maybe have some sample data?
If you want to remove the duplicates, you can achieve this using Power Query.
Select all the columns except the date column, click Remove Rows > select "Remove Duplicates"
It was the first thing I tried, but since they are not really duplicates, just duplicate data, with different timestamps (DateTime), havn't I been able to get that approach to work for me.
I might be doing something wrong ?
Did you tried selecting all the columns except the timestamp column? Do you maybe have some sample data?
That worked, thanks alot 🙂
Check out the October 2024 Power BI update to learn about new features.
Learn from experts, get hands-on experience, and win awesome prizes.
User | Count |
---|---|
112 | |
112 | |
105 | |
94 | |
58 |
User | Count |
---|---|
174 | |
147 | |
136 | |
102 | |
82 |