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Hi friends,
In Power Query, is it possible?
I have a table like this
| Date | Apr-21 | 
| Meter | A | 
| Reading | 1001 | 
| Date | May-21 | 
| Meter | B | 
| Reading | 1003 | 
| Date | Apr-21 | 
| Meter | C | 
| Reading | Jun-21 | 
And I want this table:
| Date | Meter | Reading | 
| Apr-21 | A | 1001 | 
| May-21 | B | 1003 | 
| Apr-21 | C | 1008 | 
Solved! Go to Solution.
Hi @Alirezam ,
Here is an option:
1. Add Index column (starting from 0)
2. Divide Index by 3 using Number.IntegerDivide function
3. Pivot first column using second column as values
4. Remove Index column
Code for everything:
let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WckksSVXSUXIsKNI1MlSK1YlW8k0tSS0CCYF5QamJKZl56UC+oYEBRAFUi29iJboWJ0wtxshasNjijKnFQik2FgA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t, Column2 = _t]),
    AddedIndex = Table.AddIndexColumn(Source, "Index", 0, 1, Int64.Type),
    IntegerDivided = Table.TransformColumns(AddedIndex,{{"Index", each Number.IntegerDivide(_, 3)}}),
    #"Pivoted Column" = Table.Pivot(IntegerDivided, List.Distinct(IntegerDivided[Column1]), "Column1", "Column2"),
    #"Removed Columns" = Table.RemoveColumns(#"Pivoted Column",{"Index"})
in
    #"Removed Columns"
If this post helps, then please consider Accept it as the solution ✔️to help the other members find it more quickly.
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly. Appreciate your Kudos.
Check out my latest demo report in the data story gallery.
Stand with Ukraine!
Here are official ways you can support Ukraine financially (accounts with multiple currencies):
1) Support the Armed Forces of Ukraine: https://bank.gov.ua/ua/about/support-the-armed-forces
2) Come Back Alive foundation: https://www.comebackalive.in.ua/
Thank you!
Sure thing, you can split the original table into 3 sub-tables; then transpose them.
let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WckksSVXSUXIsKNI1MlSK1YlW8k0tSS0CCYF5QamJKZl56UC+oYEBRAFUi29iJboWJ0wtxshasNjijKnFQik2FgA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t, Column2 = _t]),
    #"Split Table" = Table.Split(Source, 3),
    #"Transposed Tables" = List.Transform(#"Split Table", each Table.PromoteHeaders(Table.Transpose(_))),
    #"Combined Tables" = Table.Combine(#"Transposed Tables")
in
    #"Combined Tables"| 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! | 
Hi @Alirezam ,
Here is an option:
1. Add Index column (starting from 0)
2. Divide Index by 3 using Number.IntegerDivide function
3. Pivot first column using second column as values
4. Remove Index column
Code for everything:
let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WckksSVXSUXIsKNI1MlSK1YlW8k0tSS0CCYF5QamJKZl56UC+oYEBRAFUi29iJboWJ0wtxshasNjijKnFQik2FgA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t, Column2 = _t]),
    AddedIndex = Table.AddIndexColumn(Source, "Index", 0, 1, Int64.Type),
    IntegerDivided = Table.TransformColumns(AddedIndex,{{"Index", each Number.IntegerDivide(_, 3)}}),
    #"Pivoted Column" = Table.Pivot(IntegerDivided, List.Distinct(IntegerDivided[Column1]), "Column1", "Column2"),
    #"Removed Columns" = Table.RemoveColumns(#"Pivoted Column",{"Index"})
in
    #"Removed Columns"
If this post helps, then please consider Accept it as the solution ✔️to help the other members find it more quickly.
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly. Appreciate your Kudos.
Check out my latest demo report in the data story gallery.
Stand with Ukraine!
Here are official ways you can support Ukraine financially (accounts with multiple currencies):
1) Support the Armed Forces of Ukraine: https://bank.gov.ua/ua/about/support-the-armed-forces
2) Come Back Alive foundation: https://www.comebackalive.in.ua/
Thank you!
 
					
				
				
			
		
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