Learn from the best! Meet the four finalists headed to the FINALS of the Power BI Dataviz World Championships! Register now
Want to multiply prep hours with each month and form a new table .
Please provide solution
Hi @Vinod_P ,
Is it what you're looking for:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45W8s1PSc1R0lEKKEotUMjILy0qBnK8EvOApFtqEpD0TSwCko4FRWB2JUi2NA9MgrQ5lqYDyeDUAiDpn1wCJP3yy4CkS2qyUqxOtJKJgTGQZwjERlDaAA2D5cywEiADjA1MTZxxaMWGEepAupPz9UyBHGMdUyK1WQKxBRhDtZtjsRuDj52IjQUA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t, Column2 = _t, Column3 = _t, Column4 = _t, Column5 = _t, Column6 = _t, Column7 = _t, Column8 = _t, Column9 = _t, Column10 = _t, Column11 = _t, Column12 = _t, Column13 = _t, Column14 = _t]),
#"Promoted Headers" = Table.PromoteHeaders(Source, [PromoteAllScalars=true]),
#"Changed Type" = Table.TransformColumnTypes(#"Promoted Headers",{{"Model", type text}, {"Prep hours", type number}, {"Jan", Int64.Type}, {"Feb", Int64.Type}, {"Mar", Int64.Type}, {"Apr", Int64.Type}, {"May", Int64.Type}, {"Jun", Int64.Type}, {"Jul", Int64.Type}, {"Aug", Int64.Type}, {"Sep", Int64.Type}, {"Oct", Int64.Type}, {"Nov", Int64.Type}, {"Dec", Int64.Type}}),
#"Added Custom" = Table.AddColumn(
#"Changed Type",
"Custom",
each List.Sum(
Record.ToList(
Record.SelectFields(_,
List.RemoveFirstN(
Table.ColumnNames(#"Changed Type"),2)
)
)
) * [Prep hours]
)
in
#"Added Custom"
shorter version
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45W8s1PSc1R0lEKKEotUMjILy0qBnK8EvOApFtqEpD0TSwCko4FRWB2JUi2NA9MgrQ5lqYDyeDUAiDpn1wCJP3yy4CkS2qyUqxOtJKJgTGQZwjERlDaAA2D5cywEiADjA1MTZxxaMWGEepAupPz9UyBHGMdUyK1WQKxBRhDtZtjsRuDj52IjQUA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t, Column2 = _t, Column3 = _t, Column4 = _t, Column5 = _t, Column6 = _t, Column7 = _t, Column8 = _t, Column9 = _t, Column10 = _t, Column11 = _t, Column12 = _t, Column13 = _t, Column14 = _t]),
#"Promoted Headers" = Table.PromoteHeaders(Source, [PromoteAllScalars=true]),
#"Changed Type" = Table.TransformColumnTypes(#"Promoted Headers",{{"Model", type text}, {"Prep hours", type number}, {"Jan", Int64.Type}, {"Feb", Int64.Type}, {"Mar", Int64.Type}, {"Apr", Int64.Type}, {"May", Int64.Type}, {"Jun", Int64.Type}, {"Jul", Int64.Type}, {"Aug", Int64.Type}, {"Sep", Int64.Type}, {"Oct", Int64.Type}, {"Nov", Int64.Type}, {"Dec", Int64.Type}}),
#"Added Custom" = Table.AddColumn(
#"Changed Type",
"Custom",
each List.Sum(List.Skip(Record.ToList(_),2)) * [Prep hours])
in
#"Added Custom"Thanks @Vijay_A_Verma
A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.
Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
| User | Count |
|---|---|
| 5 | |
| 4 | |
| 4 | |
| 3 | |
| 2 |
| User | Count |
|---|---|
| 11 | |
| 10 | |
| 7 | |
| 7 | |
| 6 |