Power query question - dates into columns

Mendy32

New Member
Joined
Dec 23, 2019
Messages
36
Office Version
  1. 2019
Platform
  1. Windows
Hi,

I need help.!! how can I combine the names to one row but have all the dates in columns with the Level underneath the Dates...Can this be done power query?

I need to look like this for example

I.dNameDOBRAESEXADMIT3.9.2020 3.16.20203.25.2020etc...
6858Wonder Woman9/15/2000PINKMale2/16/2020H0H0H0H0
7848Superman8/31/1976WhiteMale6/4/2020H0H0H0H0


The list below is what I need combined...

I.d #NameDOBRAESEXADMITLevelDates
6858​
Wonder Woman
9/15/2000​
PINKMale
2/16/2020​
H03.9.2020
6858​
Wonder Woman
9/15/2000​
PINKMale
2/16/2020​
H03.16.2020
6858​
Wonder Woman
9/15/2000​
PINKMale
2/16/2020​
H03.25.2020
6858​
Wonder Woman
9/15/2000​
PINKMale
2/16/2020​
H04.1.2020
6858​
Wonder Woman
9/15/2000​
PINKMale
2/16/2020​
H04.8.2020
6858​
Wonder Woman
9/15/2000​
PINKMale
2/16/2020​
H04.15.2020
6858​
Wonder Woman
9/15/2000​
PINKMale
2/16/2020​
H04.22.2020
6858​
Wonder Woman
9/15/2000​
PINKMale
2/16/2020​
H04.29.2020
6858​
Wonder Woman
9/15/2000​
PINKMale
2/16/2020​
H05.6.2020
6858​
Wonder Woman
9/15/2000​
PINKMale
2/16/2020​
H05.20.2020
6858​
Wonder Woman
9/15/2000​
PINKMale
2/16/2020​
H05.27.2020
6858​
Wonder Woman
9/15/2000​
PINKMale
2/16/2020​
H06.3.2020
6858​
Wonder Woman
9/15/2000​
PINKMale
2/16/2020​
H06.10.2020
6858​
Wonder Woman
9/15/2000​
PINKMale
2/16/2020​
H06.17.2020
6858​
Wonder Woman
9/15/2000​
PINKMale
2/16/2020​
H06.24.2020
6858​
Wonder Woman
9/15/2000​
PINKMale
2/16/2020​
H07.1.2020
6858​
Wonder Woman
9/15/2000​
PINKMale
2/16/2020​
H07.8.2020
6858​
Wonder Woman
9/15/2000​
PINKMale
2/16/2020​
H05.13.2020
7848​
Superman
8/31/1976​
WhiteMale
3/6/2020​
H03.16.2020
7848​
Superman
8/31/1976​
WhiteMale
6/4/2020​
H06.10.2020
7848​
Superman
8/31/1976​
WhiteMale
6/4/2020​
H06.17.2020
7848​
Superman
8/31/1976​
WhiteMale
6/4/2020​
H06.24.2020
7848​
Superman
8/31/1976​
WhiteMale
6/4/2020​
H07.1.2020
7848​
Superman
8/31/1976​
WhiteMale
6/4/2020​
H07.8.2020
7848​
Superman
8/31/1976​
WhiteMale
6/4/2020​
H07.15.2020
7848​
Superman
8/31/1976​
WhiteMale
6/4/2020​
H07.22.2020
1587​
ROQUE
11/8/1993​
PINKFemale
2/25/2020​
H03.9.2020
6584​
BATMAN
3/20/1992​
ORANGEMale
10/4/2019​
H05.20.2020
6584​
BATMAN
3/20/1992​
ORANGEMale
10/4/2019​
H05.27.2020
6584​
BATMAN
3/20/1992​
ORANGEMale
10/4/2019​
H06.3.2020
6584​
BATMAN
3/20/1992​
ORANGEMale
10/4/2019​
H06.10.2020
6584​
BATMAN
3/20/1992​
ORANGEMale
10/4/2019​
H06.17.2020
6584​
BATMAN
3/20/1992​
ORANGEMale
10/4/2019​
H06.24.2020
6584​
BATMAN
3/20/1992​
ORANGEMale
10/4/2019​
H07.1.2020
6584​
BATMAN
3/20/1992​
ORANGEMale
10/4/2019​
H07.8.2020
6584​
BATMAN
3/20/1992​
ORANGEMale
10/4/2019​
H07.15.2020
6584​
BATMAN
3/20/1992​
ORANGEMale
10/4/2019​
H07.22.2020
6584​
BATMAN
3/20/1992​
ORANGEMale
10/4/2019​
H05.13.2020
749​
Aquaman
8/14/1994​
BrownMale
3/2/2020​
H03.9.2020
749​
Aquaman
8/14/1994​
BrownMale
3/2/2020​
H03.16.2020
749​
Aquaman
8/14/1994​
BrownMale
3/2/2020​
H03.25.2020
749​
Aquaman
8/14/1994​
BrownMale
3/2/2020​
H04.1.2020
749​
Aquaman
8/14/1994​
BrownMale
3/2/2020​
H04.8.2020
749​
Aquaman
8/14/1994​
BrownMale
3/2/2020​
H04.15.2020
83870​
FLASH
6/24/1992​
BrownMale
2/24/2020​
H03.9.2020
83870​
FLASH
6/24/1992​
BrownMale
2/24/2020​
H03.16.2020
83870​
FLASH
6/24/1992​
BrownMale
2/24/2020​
H07.8.2020
83870​
FLASH
6/24/1992​
BrownMale
2/24/2020​
H07.15.2020
83870​
FLASH
6/24/1992​
BrownMale
2/24/2020​
H07.22.2020
955882​
THOR
9/13/1985​
BrownMale
6/17/2020​
H06.24.2020
787667​
IRONMAN
1/2/1972​
WhiteMale
10/31/2019​
H05.20.2020
787667​
IRONMAN
1/2/1972​
WhiteMale
10/31/2019​
H05.27.2020
787667​
IRONMAN
1/2/1972​
WhiteMale
10/31/2019​
H06.3.2020
787667​
IRONMAN
1/2/1972​
WhiteMale
10/31/2019​
H06.10.2020
787667​
IRONMAN
1/2/1972​
WhiteMale
10/31/2019​
H06.17.2020
787667​
IRONMAN
1/2/1972​
WhiteMale
10/31/2019​
H06.24.2020
787667​
IRONMAN
1/2/1972​
WhiteMale
10/31/2019​
H07.1.2020
787667​
IRONMAN
1/2/1972​
WhiteMale
10/31/2019​
H07.8.2020
787667​
IRONMAN
1/2/1972​
WhiteMale
10/31/2019​
H07.15.2020
787667​
IRONMAN
1/2/1972​
WhiteMale
10/31/2019​
H07.22.2020
787667​
IRONMAN
1/2/1972​
WhiteMale
10/31/2019​
H05.13.2020
5917854​
PRINCE
4/4/1988​
WhiteMale
4/19/2020​
H14.22.2020
57421​
MICKEY MOUSE
2/5/1970​
PINKFemale
9/10/2019​
H14.15.2020
57421​
MICKEY MOUSE
2/5/1970​
PINKFemale
9/10/2019​
H14.22.2020
57421​
MICKEY MOUSE
2/5/1970​
PINKFemale
9/10/2019​
H14.29.2020
57421​
MICKEY MOUSE
2/5/1970​
PINKFemale
9/10/2019​
H15.6.2020
57421​
MICKEY MOUSE
2/5/1970​
PINKFemale
9/10/2019​
H15.20.2020
57421​
MICKEY MOUSE
2/5/1970​
PINKFemale
9/10/2019​
H15.27.2020
57421​
MICKEY MOUSE
2/5/1970​
PINKFemale
9/10/2019​
H16.3.2020
57421​
MICKEY MOUSE
2/5/1970​
PINKFemale
9/10/2019​
H16.10.2020
57421​
MICKEY MOUSE
2/5/1970​
PINKFemale
9/10/2019​
H16.17.2020
57421​
MICKEY MOUSE
2/5/1970​
PINKFemale
9/10/2019​
H16.24.2020
57421​
MICKEY MOUSE
2/5/1970​
PINKFemale
9/10/2019​
H17.1.2020
57421​
MICKEY MOUSE
2/5/1970​
PINKFemale
9/10/2019​
H17.8.2020
57421​
MICKEY MOUSE
2/5/1970​
PINKFemale
9/10/2019​
H15.13.2020
5896907​
LASSO
7/9/1993​
ORANGEMale
3/9/2020​
H03.16.2020
5896907​
LASSO
7/9/1993​
ORANGEMale
3/9/2020​
H03.25.2020
5896907​
LASSO
7/9/1993​
ORANGEMale
3/9/2020​
H04.1.2020
5896907​
LASSO
7/9/1993​
ORANGEMale
3/9/2020​
H04.8.2020
5896907​
LASSO
7/9/1993​
ORANGEMale
3/9/2020​
H04.15.2020
5896907​
LASSO
7/9/1993​
ORANGEMale
3/9/2020​
H04.22.2020
5896907​
LASSO
7/9/1993​
ORANGEMale
3/9/2020​
H04.29.2020
5896907​
LASSO
7/9/1993​
ORANGEMale
3/9/2020​
H05.6.2020
5896907​
LASSO
7/9/1993​
ORANGEMale
3/9/2020​
H05.20.2020
5896907​
LASSO
7/9/1993​
ORANGEMale
3/9/2020​
H05.27.2020
5896907​
LASSO
7/9/1993​
ORANGEMale
3/9/2020​
H06.3.2020
5896907​
LASSO
7/9/1993​
ORANGEMale
3/9/2020​
H06.10.2020
5896907​
LASSO
7/9/1993​
ORANGEMale
3/9/2020​
H06.17.2020
5896907​
LASSO
7/9/1993​
ORANGEMale
3/9/2020​
H06.24.2020
5896907​
LASSO
7/9/1993​
ORANGEMale
3/9/2020​
H07.1.2020
5896907​
LASSO
7/9/1993​
ORANGEMale
3/9/2020​
H07.8.2020
5896907​
LASSO
7/9/1993​
ORANGEMale
3/9/2020​
H07.15.2020
5896907​
LASSO
7/9/1993​
ORANGEMale
3/9/2020​
H07.22.2020
5896907​
LASSO
7/9/1993​
ORANGEMale
3/9/2020​
H05.13.2020
719​
CROWN
3/23/1993​
ORANGEMale
7/17/2020​
H17.22.2020
5731998​
RED BOOTS
9/13/1994​
PINKMale
8/30/2019​
H13.25.2020
5731998​
RED BOOTS
9/13/1994​
PINKMale
8/30/2019​
H14.1.2020
5731998​
RED BOOTS
9/13/1994​
PINKMale
8/30/2019​
H14.8.2020
5731998​
RED BOOTS
9/13/1994​
PINKMale
8/30/2019​
H14.15.2020
5731998​
RED BOOTS
9/13/1994​
PINKMale
8/30/2019​
H14.22.2020
5731998​
RED BOOTS
9/13/1994​
PINKMale
8/30/2019​
H14.29.2020
5731998​
RED BOOTS
9/13/1994​
PINKMale
8/30/2019​
H15.6.2020
5731998​
RED BOOTS
9/13/1994​
PINKMale
8/30/2019​
H15.20.2020
5731998​
RED BOOTS
9/13/1994​
PINKMale
8/30/2019​
H15.27.2020
5731998​
RED BOOTS
9/13/1994​
PINKMale
8/30/2019​
H16.3.2020
5731998​
RED BOOTS
9/13/1994​
PINKMale
8/30/2019​
H16.10.2020
5731998​
RED BOOTS
9/13/1994​
PINKMale
8/30/2019​
H16.17.2020
5731998​
RED BOOTS
9/13/1994​
PINKMale
8/30/2019​
H16.24.2020
5731998​
RED BOOTS
9/13/1994​
PINKMale
8/30/2019​
H17.1.2020
5731998​
RED BOOTS
9/13/1994​
PINKMale
8/30/2019​
H17.8.2020
5731998​
RED BOOTS
9/13/1994​
PINKMale
8/30/2019​
H17.15.2020
5731998​
RED BOOTS
9/13/1994​
PINKMale
8/30/2019​
H17.22.2020
5731998​
RED BOOTS
9/13/1994​
PINKMale
8/30/2019​
H15.13.2020
 

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Yes, it's been a while...I hope you are doing well.

Wait...I have a few dups..I need to group by Name and DOB..no need to include admit date
 
Upvote 0
I was too fast :)
try this
Rich (BB code):
let
    Source = Excel.CurrentWorkbook(){[Name="Table1"]}[Content],
    TypeDOB = Table.TransformColumnTypes(Source, {{"DOB", type date}}, "en-US"),
    TypeAdmit = Table.TransformColumnTypes(TypeDOB, {{"ADMIT", type date}}, "en-US"),
    TypeDates = Table.TransformColumnTypes(TypeAdmit, {{"Dates", type date}}, "en-US"),
    Distinct = Table.Distinct(TypeDates, {"I.d #", "Name", "DOB", "RAE", "SEX", "ADMIT"}),
    Pivot = Table.Pivot(Table.TransformColumnTypes(Distinct, {{"Dates", type text}}), List.Distinct(Table.TransformColumnTypes(Distinct, {{"Dates", type text}})[Dates]), "Dates", "Level")
in
    Pivot
7848 looks like duplicate but in Admit you have different dates so this is not duplicate

if you don't care about ADMIT dates use:
Rich (BB code):
let
    Source = Excel.CurrentWorkbook(){[Name="Table1"]}[Content],
    TypeDOB = Table.TransformColumnTypes(Source, {{"DOB", type date}}, "en-US"),
    TypeAdmit = Table.TransformColumnTypes(TypeDOB, {{"ADMIT", type date}}, "en-US"),
    TypeDates = Table.TransformColumnTypes(TypeAdmit, {{"Dates", type date}}, "en-US"),
    Distinct = Table.Distinct(TypeDates, {"I.d #", "Name", "DOB", "RAE", "SEX"}),
    Pivot = Table.Pivot(Table.TransformColumnTypes(Distinct, {{"Dates", type text}}), List.Distinct(Table.TransformColumnTypes(Distinct, {{"Dates", type text}})[Dates]), "Dates", "Level")
in
    Pivot
 
Last edited:
Upvote 0
or this one
Rich (BB code):
let
    Source = Excel.CurrentWorkbook(){[Name="Table1"]}[Content],
    Type = Table.TransformColumnTypes(Source,{{"DOB", type date}, {"ADMIT", type date}, {"Dates", type date}}, "en-US"),
    Distinct = Table.Distinct(Type, {"I.d #", "Name", "DOB", "RAE", "SEX"}),
    Pivot = Table.Pivot(Table.TransformColumnTypes(Distinct, {{"Dates", type text}}), List.Distinct(Table.TransformColumnTypes(Distinct, {{"Dates", type text}})[Dates]), "Dates", "Level")
in
    Pivot
 
Upvote 0
I keep getting this error message..:(


Expression.Error: The specified distinct criteria is invalid.
Details:
 
Upvote 0
Expression.Error: The specified distinct criteria is invalid.
Details:


  • = Table.Distinct(TypeDates, {"I.d #", "Name", "DOB", "RAE", "SEX", "ADMIT"})
 
Upvote 0
try
Rich (BB code):
let
    Source = Excel.CurrentWorkbook(){[Name="Table1"]}[Content],
    Type = Table.TransformColumnTypes(Source,{{"DOB", type date}, {"ADMIT", type date}, {"Dates", type date}}, "en-US"),
    Distinct = Table.Distinct(Type, {"I.d #"}),
    Pivot = Table.Pivot(Table.TransformColumnTypes(Distinct, {{"Dates", type text}}), List.Distinct(Table.TransformColumnTypes(Distinct, {{"Dates", type text}})[Dates]), "Dates", "Level")
in
    Pivot
 
Upvote 0
sure, hope you didn't change any headers in source table (PQ is case sensitive)
 
Upvote 0

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