Register now to learn Fabric in free live sessions led by the best Microsoft experts. From Apr 16 to May 9, in English and Spanish.
I have a dataset which comes across normalized with 3 different months under month column.
This needs to be pivoted has columns in a table for users.
Issue is the 3 months changes.
I cannot use matrix for end users as there are too many other columns needed.
I tried pivoting the in Power Query but since the column names are different the reports fail.
I tried pivoting the source and bring in the data and auto-renaming the columns using the actual month names in another table. Again this is failing here as its being seen as a new column.
Any one has another suggestion?
Thanks!
Solved! Go to Solution.
Hi @acbg,
Based on my test, you should rebulid your visual here. As I can reproduce your issue here. Or if you just add rows in your data source, then everything should go well.
Regards,
Frank
Hi @acbg,
I made a sample as below. We can Pivot the Month column based on the sales column.
Here is the M code in power query for your reference.
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45W8s3PK8kwVNJRAuFEpVgdJCEjIE5CFTIG4mRUIRMgTkEIgTSZopoFEjJDNcsIamMyqpARqlnGUBsTUYVMUM0yxrTRGNNGY4TrYwE=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Month = _t, sales = _t, users = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{"Month", type text}, {"sales", Int64.Type}}), #"Pivoted Column" = Table.Pivot(#"Changed Type", List.Distinct(#"Changed Type"[Month]), "Month", "sales", List.Sum) in #"Pivoted Column"
For more details, please check the pbix as attached. If it doesn't meet your requirement, kindly share you sample data to me.
https://www.dropbox.com/s/lx3zjix9gbf472i/Pivot%20multiple%20month%20columns.pbix?dl=0
Regards,
Frank
Hi @v-frfei-msft,
Is it possible to achieve the table shown in the first image with a dataset similar to the table in the second image?
if we use the actual month name instead of Month 1 then it does not work.
For example: Instead of Month 1,Month 2, Month 3. Use Jan, Feb and Mar.
Then re-name the months as Apr, May, Jun. in the dataset and reimport it. M code works when we pivot it with new column names as Apr, May and Jun.
But the end graph/table in Power BI do not auto-recognize the change in column names from Jan, Feb and Mar to Apr,May, Jun.
It errors out as its unable to find Jan, Feb and Mar columns.
Hi @acbg,
Based on my test, you should rebulid your visual here. As I can reproduce your issue here. Or if you just add rows in your data source, then everything should go well.
Regards,
Frank
@v-frfei-msft Thank you for the response.
I was hoping there is another way of automatting it.
I have the months changing on a weekly basis and would like for it to be automatted instead of fixing it each week.
Since I can't find a automatted solution, I have went back to calling the months Month1, 2 and 3 instead of the actual names.
Covering the world! 9:00-10:30 AM Sydney, 4:00-5:30 PM CET (Paris/Berlin), 7:00-8:30 PM Mexico City
Check out the April 2024 Power BI update to learn about new features.
User | Count |
---|---|
97 | |
96 | |
81 | |
74 | |
66 |
User | Count |
---|---|
129 | |
106 | |
106 | |
86 | |
72 |