Help with Formatting a Dataset

[AJMquillen87]

Hello,

I am working on formatting the below sample dataset:

ID	Key	Value
123	Status	Active
123	Country	USA
456	Status	Inactive
456	Country	Canada

This is what I want the table to look like:

ID	Status	Country
123	Active	USA
456	Inactive	Canada

I have tried using Pivot Column on the Key column from fig.1 and this is what I get:

ID	Status	Country
123	Active	null
123	null	USA
456	Inactive	null
456	null	Canada

I think im close and im probably missing a pretty easy step, but any help would be greatly appreciated!

[amitchandak · Accepted solution]

There two options.

1. Pivot the data with advance option as No summarization/Aggeration. Under Edit Queries or Transform data.

2. Or display it in Matix with First Agg on Values.

Appreciate your Kudos. In case, this is the solution you are looking for, mark it as the Solution. In case it does not help, please provide additional information and mark me with @
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[amitchandak · Accepted solution]

There two options.

1. Pivot the data with advance option as No summarization/Aggeration. Under Edit Queries or Transform data.

2. Or display it in Matix with First Agg on Values.

Appreciate your Kudos. In case, this is the solution you are looking for, mark it as the Solution. In case it does not help, please provide additional information and mark me with @
Thanks. My Recent Blog -
https://community.powerbi.com/t5/Community-Blog/Winner-Topper-on-Map-How-to-Color-States-on-a-Map-wi...
https://community.powerbi.com/t5/Community-Blog/HR-Analytics-Active-Employee-Hire-and-Termination-tr...
https://community.powerbi.com/t5/Community-Blog/Power-BI-Working-with-Non-Standard-Time-Periods/ba-p...
https://community.powerbi.com/t5/Community-Blog/Comparing-Data-Across-Date-Ranges/ba-p/823601

[AJMquillen87]

Thanks for your response @amitchandak . I have tried using pivot column with Dont Aggregate selected under Advanced Options. This is when I get multiple entries for the same user and null as their values (figure 3 in original post). Perhaps I made an error in my initial post by oversimplifying my dataset. This is an actual representation of the dataset, with this sample, I receive multiple entries for the same ID with null in the value columns:

_id	Key	Org	personID	updatedAt	Value
a;kljsd;fjsd;f	Status	1234567	123	1/1/2000	Active
askldf;asdfjk	Country	1234567	123	1/1/2000	USA
sklafh;kfg;ak	Status	1234567	456	1/2/2000	Inactive
skdf;klasdfj	Country	1234567	456	1/2/2000	Canada

The _id field is a generic guid assigned uniquely and randomly to every row in the table. When I pivot with Dont Aggregate selected, this is my result:

_id	org	personaID	updatedAt	Status	Country
a;kljsd;fjsd;f	1234567	123	1/1/2000	Active	null
askldf;asdfjk	1234567	123	1/1/2000	null	USA
skdf;klasdfj	1234567	456	1/2/2000	null	Canada
sklafh;kfg;ak	1234567	456	1/2/2000	Inactive	null

I want to combine everything on the personaID and I think the _id field is getting in the way. Other than deleting the _id column, is there a way to further aggregate or group on the personaID?

[amitchandak · Accepted solution]

Try

Summ = SUMMARIZE(transpose,transpose[personID],transpose[Org],transpose[updatedAt],"Status",maxx(filter(transpose,transpose[Key]="Status"),transpose[Value]), "Country",maxx(filter(transpose,transpose[Key]="Country"),transpose[Value]))

Check : https://www.dropbox.com/s/hqlasw6q9smkybr/Transpose.pbix?dl=0