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Hi all,
I have a data set as shown in the input table,
Against each product name & product band, I have 2 KPI categories, 1. 3 KPI and 2. 5 KPI. In columns 3 & 4 I have total pass KPIs in each category. In the following few columns I have the details for failed KPIs in terms of 1 & 0. 1 means KPI is pass & 0 means KPI is fail.
Now I want to summarize my table where I can have only one row for each Product name & Product band combination, followed by pass KPI count in the next 2 columns for 2 different categories, and in the next 2 columns I want the failed KPI names separated by commas, as shown in output table.
Pls help, how I can do this either through power Query editor or by using some DAX.
Input table
| Product name | Product band | KPI Category - 3 KPI(KPI1,KPI2,KPI3) | KPI Category - 5 KPI(KPI1,KPI2,KPI3,KPI4,KPI5) | KPI1 | KPI2 | KPI3 | KPI4 | KPI5 |
| Car | 7 | 3 | 5 | 1 | 1 | 1 | 1 | 1 |
| Car | 3 | 1 | 2 | 1 | 0 | 0 | 0 | 1 |
| Bike | 7 | 2 | 2 | 1 | 1 | 0 | 0 | 0 |
| Bike | 3 | 3 | 3 | 1 | 1 | 1 | 0 | 0 |
| Cycle | 7 | 3 | 4 | 1 | 1 | 1 | 1 | 0 |
| Cycle | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Output table
| Product name | Product band | Total pass in 3 KPI | Total pass in 5 KPI | Failed KPI -KPI Category - 3 KPI(KPI1,KPI2,KPI3) | Failed KPI - KPI Category - 5 KPI(KPI1,KPI2,KPI3,KPI4,KPI5) |
| Car | 7 | 3 | 5 | ||
| Car | 3 | 1 | 2 | KPI2,KPI3 | KPI2, KPI3, KPI4 |
| Bike | 7 | 2 | 2 | KPI3 | KPI3, KPI4, KPI5 |
| Bike | 3 | 3 | 3 | KPI4, KPI5 | |
| Cycle | 7 | 3 | 4 | KPI5 | |
| Cycle | 3 | 0 | 0 | KPI1,KPI2,KPI3 | KPI1,KPI2,KPI3,KPI4,KPI5 |
Solved! Go to Solution.
Hi
Add new columns
=Text.Combine(List.Transform({{[KPI1],"KPI1"},{[KPI2],"KPI2"},{[KPI3],"KPI3"}}, each if _{0}=0 then _{1} else null), ",")and
Text.Combine(List.Transform({{[KPI1],"KPI1"},{[KPI2],"KPI2"},{[KPI3],"KPI3"},{[KPI4],"KPI4"},{[KPI5],"KPI5"}}, each if _{0}=0 then _{1} else null), ",") Stéphane
Hi
Add new columns
=Text.Combine(List.Transform({{[KPI1],"KPI1"},{[KPI2],"KPI2"},{[KPI3],"KPI3"}}, each if _{0}=0 then _{1} else null), ",")and
Text.Combine(List.Transform({{[KPI1],"KPI1"},{[KPI2],"KPI2"},{[KPI3],"KPI3"},{[KPI4],"KPI4"},{[KPI5],"KPI5"}}, each if _{0}=0 then _{1} else null), ",") Stéphane
Thanks for the help. It works for me.
Hi prashantg364,
If you want to achieve this with the simple calculated column using dax.
Step 1:
Concatenate the columns.
Hello, @prashantg364
let
Source = your_table,
lst03 = {"KPI1", "KPI2", "KPI3"},
lst05 = {"KPI1", "KPI2", "KPI3", "KPI4", "KPI5"},
f = (r as record, lst as list) =>
List.Accumulate(
lst,
{},
(s, c) => s & (if Record.Field(r, c) = 0 then {c} else {})
),
comb = Table.CombineColumnsToRecord(Source, "KPI", lst05),
txf = Table.TransformColumns(comb, {"KPI", (x) => f(x, lst05)}),
failed3 =
Table.AddColumn(
txf, "Failed KPI -KPI Category - 3 KPI(KPI1,KPI2,KPI3)",
(x) => Text.Combine(List.Select(x[KPI], (w) => List.Contains(lst03, w)), ", ")
),
failed5 = Table.AddColumn(failed3, "Failed KPI - KPI Category - 5 KPI(KPI1,KPI2,KPI3,KPI4,KPI5)", each Text.Combine([KPI], ", ")),
remove_kpi = Table.RemoveColumns(failed5,{"KPI"})
in
remove_kpi
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