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Hey you all, I hope you all are ok!
I have the following (imaginary) database to work on:
What I need to achieve is below:
In other words, I need to multiplicate each demand due to its opening e closing date, considering the end of month of between those dates. But, the "AGE_DATE" can not be grater then the closing date. Also, if the demand does not has a closing date, the "AGE_DATE" must be the last day of refresh database.
Hope you can help me.
Thanks a lot. Regards from Brasil.
Solved! Go to Solution.
Hi @mathew_528417 ,
Here a solution in Power Query.
Before:
After:
Here the code in Power Query M that you can paste into the advanced editor (if you do not know, how to exactly do this, please check out this quick walkthrough)
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("TcrLCQAgDATRXvZsIFn/tYT034aiIB7nMe4wZiRQSdEsOl50MUMkR6ntQ3LH8T7mddunKN90ImIB", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Demand = _t, OPENING_DATE = _t, CLOSING_DATE = _t]),
#"Changed Type 1" = Table.TransformColumnTypes(Source,{{"Demand", Int64.Type}, {"OPENING_DATE", type date}, {"CLOSING_DATE", type date}}),
#"Added Custom 1" = Table.AddColumn(#"Changed Type 1", "AGE_DATE", each { Number.From ( [OPENING_DATE] ) .. Number.From ( if [CLOSING_DATE] = null then Date.From(DateTime.LocalNow())
else [CLOSING_DATE] ) }),
#"Expanded AGE_DATE" = Table.ExpandListColumn(#"Added Custom 1", "AGE_DATE"),
#"Changed Type 2" = Table.TransformColumnTypes(#"Expanded AGE_DATE",{{"AGE_DATE", type date}}),
#"Added Custom 2" = Table.AddColumn(#"Changed Type 2", "END_OF_MONTH", each Date.EndOfMonth([AGE_DATE])),
#"Added Custom 3" = Table.AddColumn(#"Added Custom 2", "FILTER", each if [AGE_DATE] = [END_OF_MONTH] or [AGE_DATE] = Date.From(DateTime.LocalNow()) or [AGE_DATE] = [CLOSING_DATE] then 1 else 0),
#"Filtered Rows" = Table.SelectRows(#"Added Custom 3", each ([FILTER] = 1)),
#"Removed Columns" = Table.RemoveColumns(#"Filtered Rows",{"END_OF_MONTH", "FILTER"})
in
#"Removed Columns"
Let me know if this helps 🙂
/Tom
https://www.tackytech.blog/
https://www.instagram.com/tackytechtom/
| Did I answer your question❓➡️ Please, mark my post as a solution ✔️ |
| Also happily accepting Kudos 🙂 |
| Feel free to connect with me on LinkedIn! | |
| #proudtobeasuperuser | |
Hi @mathew_528417 ,
Here a solution in Power Query.
Before:
After:
Here the code in Power Query M that you can paste into the advanced editor (if you do not know, how to exactly do this, please check out this quick walkthrough)
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("TcrLCQAgDATRXvZsIFn/tYT034aiIB7nMe4wZiRQSdEsOl50MUMkR6ntQ3LH8T7mddunKN90ImIB", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Demand = _t, OPENING_DATE = _t, CLOSING_DATE = _t]),
#"Changed Type 1" = Table.TransformColumnTypes(Source,{{"Demand", Int64.Type}, {"OPENING_DATE", type date}, {"CLOSING_DATE", type date}}),
#"Added Custom 1" = Table.AddColumn(#"Changed Type 1", "AGE_DATE", each { Number.From ( [OPENING_DATE] ) .. Number.From ( if [CLOSING_DATE] = null then Date.From(DateTime.LocalNow())
else [CLOSING_DATE] ) }),
#"Expanded AGE_DATE" = Table.ExpandListColumn(#"Added Custom 1", "AGE_DATE"),
#"Changed Type 2" = Table.TransformColumnTypes(#"Expanded AGE_DATE",{{"AGE_DATE", type date}}),
#"Added Custom 2" = Table.AddColumn(#"Changed Type 2", "END_OF_MONTH", each Date.EndOfMonth([AGE_DATE])),
#"Added Custom 3" = Table.AddColumn(#"Added Custom 2", "FILTER", each if [AGE_DATE] = [END_OF_MONTH] or [AGE_DATE] = Date.From(DateTime.LocalNow()) or [AGE_DATE] = [CLOSING_DATE] then 1 else 0),
#"Filtered Rows" = Table.SelectRows(#"Added Custom 3", each ([FILTER] = 1)),
#"Removed Columns" = Table.RemoveColumns(#"Filtered Rows",{"END_OF_MONTH", "FILTER"})
in
#"Removed Columns"
Let me know if this helps 🙂
/Tom
https://www.tackytech.blog/
https://www.instagram.com/tackytechtom/
| Did I answer your question❓➡️ Please, mark my post as a solution ✔️ |
| Also happily accepting Kudos 🙂 |
| Feel free to connect with me on LinkedIn! | |
| #proudtobeasuperuser | |
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