Skip to main content
cancel
Showing results for 
Search instead for 
Did you mean: 

The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now! Learn more

Reply
smpa01
Community Champion
Community Champion

Calculated datetime column in Power Query not DAX

My source data is following

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjIwMtQ1ACGlWB0krpFSbCwA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Column1", type date}}),
    #"Added Custom" = Table.AddColumn(#"Changed Type", "Custom", each List.Durations(#duration(0, 0, 0, 0), 24, #duration(0, 1, 0, 0))),
    #"Expanded Custom" = Table.ExpandListColumn(#"Added Custom", "Custom")
in
    #"Expanded Custom"

 

 

How can I reach here by creating a concatenation of Column1 and Custom which will yet be a datetime column

 

| Column1  	| Custom     	| datetime             	|
|----------	|------------	|----------------------	|
| 1/1/2021 	| 0.00:00:00 	| 1/1/2021 12:00:00 AM 	|
| 1/1/2021 	| 0.01:00:00 	| 1/1/2021 1:00:00 AM  	|
| 1/1/2021 	| 0.02:00:00 	| 1/1/2021 2:00:00 AM  	|
| 1/1/2021 	| 0.03:00:00 	| 1/1/2021 3:00:00 AM  	|
| 1/1/2021 	| 0.04:00:00 	| 1/1/2021 4:00:00 AM  	|
| 1/1/2021 	| 0.05:00:00 	| 1/1/2021 5:00:00 AM  	|
| 1/1/2021 	| 0.06:00:00 	| 1/1/2021 6:00:00 AM  	|
| 1/1/2021 	| 0.07:00:00 	| 1/1/2021 7:00:00 AM  	|
| 1/1/2021 	| 0.08:00:00 	| 1/1/2021 8:00:00 AM  	|
| 1/1/2021 	| 0.09:00:00 	| 1/1/2021 9:00:00 AM  	|
| 1/1/2021 	| 0.10:00:00 	| 1/1/2021 10:00:00 AM 	|
| 1/1/2021 	| 0.11:00:00 	| 1/1/2021 11:00:00 AM 	|
| 1/1/2021 	| 0.12:00:00 	| 1/1/2021 12:00:00 PM 	|
| 1/1/2021 	| 0.13:00:00 	| 1/1/2021 1:00:00 PM  	|
| 1/1/2021 	| 0.14:00:00 	| 1/1/2021 2:00:00 PM  	|
| 1/1/2021 	| 0.15:00:00 	| 1/1/2021 3:00:00 PM  	|
| 1/1/2021 	| 0.16:00:00 	| 1/1/2021 4:00:00 PM  	|
| 1/1/2021 	| 0.17:00:00 	| 1/1/2021 5:00:00 PM  	|
| 1/1/2021 	| 0.18:00:00 	| 1/1/2021 6:00:00 PM  	|
| 1/1/2021 	| 0.19:00:00 	| 1/1/2021 7:00:00 PM  	|
| 1/1/2021 	| 0.20:00:00 	| 1/1/2021 8:00:00 PM  	|
| 1/1/2021 	| 0.21:00:00 	| 1/1/2021 9:00:00 PM  	|
| 1/1/2021 	| 0.22:00:00 	| 1/1/2021 10:00:00 PM 	|
| 1/1/2021 	| 0.23:00:00 	| 1/1/2021 11:00:00 PM 	|
| 1/2/2021 	| 0.00:00:00 	| 1/2/2021 12:00:00 AM 	|
| 1/2/2021 	| 0.01:00:00 	| 1/2/2021 1:00:00 AM  	|
| 1/2/2021 	| 0.02:00:00 	| 1/2/2021 2:00:00 AM  	|
| 1/2/2021 	| 0.03:00:00 	| 1/2/2021 3:00:00 AM  	|
| 1/2/2021 	| 0.04:00:00 	| 1/2/2021 4:00:00 AM  	|
| 1/2/2021 	| 0.05:00:00 	| 1/2/2021 5:00:00 AM  	|
| 1/2/2021 	| 0.06:00:00 	| 1/2/2021 6:00:00 AM  	|
| 1/2/2021 	| 0.07:00:00 	| 1/2/2021 7:00:00 AM  	|
| 1/2/2021 	| 0.08:00:00 	| 1/2/2021 8:00:00 AM  	|
| 1/2/2021 	| 0.09:00:00 	| 1/2/2021 9:00:00 AM  	|
| 1/2/2021 	| 0.10:00:00 	| 1/2/2021 10:00:00 AM 	|
| 1/2/2021 	| 0.11:00:00 	| 1/2/2021 11:00:00 AM 	|
| 1/2/2021 	| 0.12:00:00 	| 1/2/2021 12:00:00 PM 	|
| 1/2/2021 	| 0.13:00:00 	| 1/2/2021 1:00:00 PM  	|
| 1/2/2021 	| 0.14:00:00 	| 1/2/2021 2:00:00 PM  	|
| 1/2/2021 	| 0.15:00:00 	| 1/2/2021 3:00:00 PM  	|
| 1/2/2021 	| 0.16:00:00 	| 1/2/2021 4:00:00 PM  	|
| 1/2/2021 	| 0.17:00:00 	| 1/2/2021 5:00:00 PM  	|
| 1/2/2021 	| 0.18:00:00 	| 1/2/2021 6:00:00 PM  	|
| 1/2/2021 	| 0.19:00:00 	| 1/2/2021 7:00:00 PM  	|
| 1/2/2021 	| 0.20:00:00 	| 1/2/2021 8:00:00 PM  	|
| 1/2/2021 	| 0.21:00:00 	| 1/2/2021 9:00:00 PM  	|
| 1/2/2021 	| 0.22:00:00 	| 1/2/2021 10:00:00 PM 	|
| 1/2/2021 	| 0.23:00:00 	| 1/2/2021 11:00:00 PM 	|

 

 

Thank you in advance.

 

Did I answer your question? Mark my post as a solution!
Proud to be a Super User!
My custom visualization projects
Plotting Live Sound: Viz1
Beautiful News:Viz1, Viz2, Viz3
Visual Capitalist: Working Hrs
1 ACCEPTED SOLUTION
Jakinta
Solution Sage
Solution Sage

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjIwMtQ1ACGlWB0krpFSbCwA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Column1", type datetime}}),
    #"Added Custom" = Table.AddColumn(#"Changed Type", "Custom", each List.DateTimes( [Column1], 24, #duration(0, 1, 0, 0))),
    #"Expanded Custom" = Table.ExpandListColumn(#"Added Custom", "Custom"),
    #"Duplicated Column" = Table.DuplicateColumn(#"Expanded Custom", "Custom", "datetime"),
    #"Changed Type2" = Table.TransformColumnTypes(#"Duplicated Column",{{"Column1", type date}, {"Custom", type time}, {"datetime", type datetime}})
in
    #"Changed Type2"

View solution in original post

2 REPLIES 2
CNENFRNL
Community Champion
Community Champion

Date and Time can be directly concatenated by "&" operator; thus, create a series of hours by List.Times,

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjIwMtQ1ACGlWB0krpFSbCwA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Date = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Date", type date}}),
    #"Added Times" = Table.AddColumn(#"Changed Type", "Time", each List.Times(#time(0, 0, 0), 24, #duration(0, 1, 0, 0))),
    #"Expanded Custom" = Table.ExpandListColumn(#"Added Times", "Time"),
    #"Concatenated DateTime" = Table.AddColumn(#"Expanded Custom", "DateTime", each [Date] & [Time])
in
    #"Concatenated DateTime"

 

Screenshot 2021-08-24 034409.png


Thanks to the great efforts by MS engineers to simplify syntax of DAX! Most beginners are SUCCESSFULLY MISLED to think that they could easily master DAX; but it turns out that the intricacy of the most frequently used RANKX() is still way beyond their comprehension!

DAX is simple, but NOT EASY!

Jakinta
Solution Sage
Solution Sage

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjIwMtQ1ACGlWB0krpFSbCwA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Column1", type datetime}}),
    #"Added Custom" = Table.AddColumn(#"Changed Type", "Custom", each List.DateTimes( [Column1], 24, #duration(0, 1, 0, 0))),
    #"Expanded Custom" = Table.ExpandListColumn(#"Added Custom", "Custom"),
    #"Duplicated Column" = Table.DuplicateColumn(#"Expanded Custom", "Custom", "datetime"),
    #"Changed Type2" = Table.TransformColumnTypes(#"Duplicated Column",{{"Column1", type date}, {"Custom", type time}, {"datetime", type datetime}})
in
    #"Changed Type2"

Helpful resources

Announcements
Power BI DataViz World Championships

Power BI Dataviz World Championships

The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now!

December 2025 Power BI Update Carousel

Power BI Monthly Update - December 2025

Check out the December 2025 Power BI Holiday Recap!

FabCon Atlanta 2026 carousel

FabCon Atlanta 2026

Join us at FabCon Atlanta, March 16-20, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.

Top Solution Authors