Transpose Table

[bman6074]

Hi,

Is there a way to transpose/pivot this (Current picture) table to (Transpose picture) So each name is across the top and the usage risk scores listed below?

Then ultimatly I want to take highest number to from each list as shown in (Finish picture).

Current

Transpose

Finsh

[v-lid-msft · Accepted solution]

Hi @bman6074 ,

We can transpose it by using "Transform" - "Povit Column" in Power Query Editor, then select maximum as aggreration function:

Or we can append this step in your queries

let
Source = Sql.Databases("database.power bi"),
Powerbi= Source{[Name="powerbi"]}[Data],
snow_AllRelationshipsKeyTable = powerbi{[Schema="snow",Item="AllRelationshipsKeyTable"]}[Data],
#"Changed Type" = Table.TransformColumnTypes(snow_AllRelationshipsKeyTable,{{"EOL", type date}, {"EOSL", type date}, {"LCS_GA", type date}}),
#"Removed Other Columns" = Table.SelectColumns(#"Changed Type",{"Name", "Usage_Risk_Score"}),
PivotStep = Table.Pivot(#"Removed Other Columns", List.Distinct(#"Changed Type"[Name]), "Name", "Usage_Risk_Score", List.Max)
in
PivotStep

By the way, PBIX file as attached.

Best regards,

[amitchandak]

Refer:https://yodalearning.com/tutorials/power-query-helps-transposing-data/

[camargos88]

Hi @bman6074 ,

Try this code on Advanced Editor:

let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WcixKzkgtUnAPclbSUcorzclRitXBI5pfrBAMlEopzcnMS1dwSSxJBCowhcgGeTo5oigvLkjNU3DJLC4pygzLTC1X0EXiABUaEaXK0ICwMoXggsSSzMQcBc+8ktSitMTkVISrSNYHsjAWAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Name = _t, Usage_Risk_Score = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Name", type text}, {"Usage_Risk_Score", Int64.Type}}),
#"Pivoted Column" = Table.Pivot(#"Changed Type", List.Distinct(#"Changed Type"[Name]), "Name", "Usage_Risk_Score", List.Max)
in
#"Pivoted Column"

Ricardo

[bman6074]

Hi Ricardo,

thanks for replying.

How do i add it to the current code in the advance editor?

let
Source = Sql.Databases("database.power bi"),
Powerbi= Source{[Name="powerbi"]}[Data],
snow_AllRelationshipsKeyTable = powerbi{[Schema="snow",Item="AllRelationshipsKeyTable"]}[Data],
#"Changed Type" = Table.TransformColumnTypes(snow_AllRelationshipsKeyTable,{{"EOL", type date}, {"EOSL", type date}, {"LCS_GA", type date}}),
#"Removed Other Columns" = Table.SelectColumns(#"Changed Type",{"Name", "Usage_Risk_Score"})
in
#"Removed Other Columns"

[v-lid-msft · Accepted solution]

Hi @bman6074 ,

We can transpose it by using "Transform" - "Povit Column" in Power Query Editor, then select maximum as aggreration function:

Or we can append this step in your queries

let
Source = Sql.Databases("database.power bi"),
Powerbi= Source{[Name="powerbi"]}[Data],
snow_AllRelationshipsKeyTable = powerbi{[Schema="snow",Item="AllRelationshipsKeyTable"]}[Data],
#"Changed Type" = Table.TransformColumnTypes(snow_AllRelationshipsKeyTable,{{"EOL", type date}, {"EOSL", type date}, {"LCS_GA", type date}}),
#"Removed Other Columns" = Table.SelectColumns(#"Changed Type",{"Name", "Usage_Risk_Score"}),
PivotStep = Table.Pivot(#"Removed Other Columns", List.Distinct(#"Changed Type"[Name]), "Name", "Usage_Risk_Score", List.Max)
in
PivotStep

By the way, PBIX file as attached.

Best regards,

[bman6074]

Hi Community Support Team _ Dong Li

Thanks for the reply. Unfortunatly that doesn't acheive what I need. Its not ending with highest value in the list of usage risk score. 

For example the Advantex Gas modile has 4 scores and 2 are 10. Result should end with highest value which would be 10 but it ended up with 5

[v-lid-msft · Accepted solution]

Hi @bman6074 ,

Please try to change the data type of Usage_Risk_Score column to whole number before unpivot,

Or use the following query:

let
Source = Sql.Databases("database.power bi"),
Powerbi= Source{[Name="powerbi"]}[Data],
snow_AllRelationshipsKeyTable = powerbi{[Schema="snow",Item="AllRelationshipsKeyTable"]}[Data],
#"Changed Type" = Table.TransformColumnTypes(snow_AllRelationshipsKeyTable,{{"EOL", type date}, {"EOSL", type date}, {"LCS_GA", type date}}),
#"Removed Other Columns" = Table.SelectColumns(#"Changed Type",{"Name", "Usage_Risk_Score"}),
ChangeType = Table.TransformColumnTypes(#"Removed Other Columns",{{"Name", type text}, {"Usage_Risk_Score", Int64.Type}}),
PivotStep = Table.Pivot(#"ChangeType", List.Distinct(#"Changed Type"[Name]), "Name", "Usage_Risk_Score", List.Max)
in
PivotStep

Best regards,