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Hi,
I have package information as below with their dates
| Package | Date |
| ABCD1234 | 1-Sep-21 |
| null | 1-Sep-21 |
| ABCD1234 | 1-Sep-21 |
| ABCD1234 | 9-Oct-21 |
| ABCD1234 | 1-Oct-21 |
| null | 10-Oct-21 |
| ABCD1234 | 9-Oct-21 |
| null | 10-Oct-21 |
| null | 10-Oct-21 |
| ABCD1234 | 10-Oct-21 |
| MNOP5678 | 15-Sep-21 |
| MNOP5678 | 20-Oct-21 |
| null | 15-Sep-21 |
| MNOP5678 | 1-Oct-21 |
| MNOP5678 | 10-Oct-21 |
| MNOP5678 | 10-Oct-21 |
| null | 10-Oct-21 |
| MNOP5678 | 1-Oct-21 |
| null | 10-Oct-21 |
| null | 10-Oct-21 |
| MNOP5678 | 15-Sep-21 |
| MNOP5678 | 10-Oct-21 |
I need assistance with how I can remove rows that are older than 30 days from current date (Current date - date in table > 30 should be deleted) while retaining null value rows, in Power query.
Thanks in advance!
Regards,
Muralidhar
Solved! Go to Solution.
= Table.SelectRows(#"Changed Type1", each [Package] = null or [Date] > Date.AddDays(DateTime.Date(DateTime.FixedLocalNow()),-30))
Marcus Wegener works as Full Stack Power BI Engineer at BI or DIE.
His mission is clear: "Get the most out of data, with Power BI."
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Hi @murali5431
this should work
= Table.SelectRows(#"Changed Type1", each [Date] > Date.AddDays(DateTime.Date(DateTime.FixedLocalNow()),-30))
Marcus Wegener works as Full Stack Power BI Engineer at BI or DIE.
His mission is clear: "Get the most out of data, with Power BI."
twitter - LinkedIn - YouTube - website - podcast - Power BI Tutorials
Thank you @mwegener
Can you let me know how to retain the rows having "null" in column A. I believe that was not considered in the above query
= Table.SelectRows(#"Changed Type1", each [Package] = null or [Date] > Date.AddDays(DateTime.Date(DateTime.FixedLocalNow()),-30))
Marcus Wegener works as Full Stack Power BI Engineer at BI or DIE.
His mission is clear: "Get the most out of data, with Power BI."
twitter - LinkedIn - YouTube - website - podcast - Power BI Tutorials
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