I have a table loaded in Power BI like this:
Name
Value 1
Value 2
Marc
21
32
Marc
21
33
Jessica
32
353
Jessica
32
313
John
31
323
John
31
333
Tim
35
342
Tim
35
331
I would like to use Power Query in Power BI to duplicate rows, where the name is for example John:
Name
Value 1
Value 2
Marc
21
32
Marc
21
33
Jessica
32
353
Jessica
32
313
John
31
323
John
31
333
Tim
35
342
Tim
35
331
John
31
323
John
31
333
How can I do it with Powery Query in Power BI?
Thanks!
Here you go. Just one line of code.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45W8k0sSlZQ0lEyMgSRxkZKsToYgsZgQa/U4uLM5ESIMjBpikvCECqRn5EH5kKksAlCzQ7JzIWYCCZNjLAIGhsqxcYCAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Name = _t, #"Value 1" = _t, #"Value 2" = _t]),
#"Filtered Rows" = Table.Combine({ Table.SelectRows(Source, each ([Name] = "John")),Source})
in
#"Filtered Rows"
Related
My problem is related with PowerBI report
It is example table, Real table contains 10000+ results
user
salary
date
1
123
14-10-2022
2
455
11-10-2022
3
333
13-10-2022
4
222
12-10-2022
5
111
10-10-2022
desired output:
user
salary
date
salary (date-1 day)
salary (date-3 days)
1
123
14-10-2022
333
455
2
455
11-10-2022
111
3
333
13-10-2022
222
111
4
222
12-10-2022
455
5
111
10-10-2022
How can I achieve it in PBI ?
I tried to merge tables but the dashboard was very slow after try like that.
I would do this in DAX, not Power Query.
Add a date dimension (search on this if you aren’t familiar with date dimensions), then create these DAX measures.
Salary (date-1 day) = CALCULATE( SUM(TABLE[salary]), DATEADD(DateDim[DateKey],-1,day) )
Salary (date-3 day) = CALCULATE( SUM(TABLE[salary]), DATEADD(DateDim[DateKey],-3,day) )
I have a view by the name of info and it's structure and data sample is the following:
id
name
contacts
1
ali
1234
1
ali
122
2
john
133
2
john
144
2
john
122
3
mike
111
4
khan
444
5
jan
122
5
jan
155
So I am using the above view data in oracle apex report. I want to search data by id for example I search for id=1, it contains two values in contacts column one of the value which is 122 is also included in another records so the result should also contain all the other records which contain 122 in their contacts column.
The expected result which I want is:
id
name
contacts
1
ali
1234
1
ali
122
2
john
133
2
john
144
2
john
122
5
jan
122
5
jan
155
We can phrase your requirement as wanting to return any record with id = 1 or any record whose contacts overlap with the contacts of id = 1.
SELECT id, name, contacts
FROM yourTable
WHERE id = 1 OR
id IN (
SELECT id
FROM yourTable
WHERE contacts IN (SELECT contacts FROM yourTable WHERE id = 1)
)
ORDER BY id;
Demo
I got the following table I want to edit with power query (still a beginner).
Every month we got a new row for every parameter (many) for every object. What I want, is a table with a new row for every every object and every Month with all the parameters listed as columns. The parameters can include numbers, dates, empty values etc.
I hope I could explain my issue well enough.
Thanks for you help!
What I have:
Parameter
Object
Location
Size
Month
Value
1
Object A
USA
4
Jan 2002
180
1
Object A
USA
4
Feb 2002
210
2
Object A
USA
4
Jan 2002
312
2
Object A
USA
4
Feb 2002
140
1
Object B
CAN
6
Jan 2002
164
1
Object B
CAN
6
Feb 2002
130
2
Object B
CAN
6
Jan 2002
95
2
Object B
CAN
6
Feb 2002
122
What I want:
Object
Month
Location
Size
Parameter 1
Parameter 2
Parameter 3...
Object A
Jan 2002
USA
4
180
312
...
Object A
Feb 2002
USA
4
210
140
...
Object B
Jan 2002
CAN
6
164
95
...
Object B
Feb 2002
CAN
6
130
122
95
Load data into powerquery with data .. from table/range... [x] headers
click select parameter column
transform .. pivot column
values column:value [ok]
file ... close and load ...
let Source = Excel.CurrentWorkbook(){[Name="Table1"]}[Content],
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Parameter", Int64.Type}, {"Object", type text}, {"Location", type text}, {"Size", Int64.Type}, {"Month", type datetime}, {"Value", Int64.Type}}),
#"Pivoted Column" = Table.Pivot(Table.TransformColumnTypes(#"Changed Type", {{"Parameter", type text}}, "en-US"), List.Distinct(Table.TransformColumnTypes(#"Changed Type", {{"Parameter", type text}}, "en-US")[Parameter]), "Parameter", "Value", List.Sum)
in #"Pivoted Column"
Im new in sas base and need help.
I have 2 tables with different data and I need merge it.
But on step I need data from next row.
example what I need:
ID Fdate Tdate NFdate NTdate
id1 date1 date1 date2 date2
id2 date2 date2 date3 date3
....
I did it by 2 merges:
data result;
merge table1 table2 by ...;
merge table1(firstobs=2) table2(firstobs=2) by...;
run;
I expected 10 rows but got 9 becouse one-to-one reading stopted on last row of smallest table(merge). How I can get the last row (do one-to-one reading by biggest table)?
Most simple data steps stop not at the bottom of the step but in the middle when they read past the end of the input. The reason you are getting N-1 observations is because the second input has one fewer records. So you need to do something to stop that.
One simple way is to not execute the second read when you are processing the last observation read by the first one. You can use the END= option to create a boolean variable that will let you know when that happens.
Here is simple example using SASHELP.CLASS.
data test;
set sashelp.class end=eof;
if not eof then set sashelp.class(firstobs=2 keep=name rename=(name=next_name));
else call missing(next_name);
run;
Results:
next_
Obs Name Sex Age Height Weight name
1 Alfred M 14 69.0 112.5 Alice
2 Alice F 13 56.5 84.0 Barbara
3 Barbara F 13 65.3 98.0 Carol
4 Carol F 14 62.8 102.5 Henry
5 Henry M 14 63.5 102.5 James
6 James M 12 57.3 83.0 Jane
7 Jane F 12 59.8 84.5 Janet
8 Janet F 15 62.5 112.5 Jeffrey
9 Jeffrey M 13 62.5 84.0 John
10 John M 12 59.0 99.5 Joyce
11 Joyce F 11 51.3 50.5 Judy
12 Judy F 14 64.3 90.0 Louise
13 Louise F 12 56.3 77.0 Mary
14 Mary F 15 66.5 112.0 Philip
15 Philip M 16 72.0 150.0 Robert
16 Robert M 12 64.8 128.0 Ronald
17 Ronald M 15 67.0 133.0 Thomas
18 Thomas M 11 57.5 85.0 William
19 William M 15 66.5 112.0
I need help restructuring the data. My Table looks like this
NameHead Department Per_test Per_Delta Per_DB Per_Vul
Nancy Health 55 33.2 33 63
Jim Air 25 22.8 23 11
Shu Water 26 88.3 44 12
Dick Electricity 77 55.9 66 10
Elena General 88 22 67 9
Nancy Internet 66 12 44 79
And I want my table to look like this
NameHead Nancy Jim Shu Dick Elena Nancy
Department Health Air Water Electricity General Internet
Per_test 55 25 26 77 88 66
Per_Delta 33.2 22.8 88.3 55.9 22 12
PerDB 33 23 44 66 67 44
Per_Vul 63 11 12 10 9 79
I tried proc transpose but couldnt get the desired result. Please help!
Thanks!
PROC TRANSPOSE does exactly what you want. You must include a VAR statement if you want to include the character variables.
proc transpose data=have out=want;
var _all_;
run;
Note that you cannot have variables that do not have names. Here is what the dataset looks like.
Obs _NAME_ COL1 COL2 COL3 COL4 COL5 COL6
1 NameHead Nancy Jim Shu Dick Elena Nancy
2 Department Health Air Water Electricity General Internet
3 Percent_test 55 25 26 77 88 66
4 Percent_Delta 33.2 22.8 88.3 55.9 22 12
5 Percent_DB 33 23 44 66 67 44
6 Percent_Vul 63 11 12 10 9 79