Hello M language masters!
I have a question about working with grouped rows when the Power Query creates a table with data. But maybe it is better to start from the beginning.
Important information! I will be asking for example only about adding an index. I know that there are different possibilities to reach such a result. But for this question, I need an answer about the possibility to work on tables. I want to use this answer in different actions (e.g table sorting, adding columns in group table).
In my sample data source, I have a list of fake transactions. I want to add an index for each Salesman, to count operations for each of them.
Sample Data
So I just added this file as a data source in Power BI. In Power query, I have grouped rows according to name. This step created form me column contained a table for each Salesman, which stores all his or her operations.
Grouping result
And now, I want to add an index column in each table. I know, that this is possible by adding a new column to the main table, which will be store a new table with added index:
Custom column function
And in each table, I have Indexed. That is good. But I have an extra column now (one with the table without index, and one with a table with index).
Result - a little bit messy
So I want to ask if there is any possibility to add such an index directly to the table in column Operations, without creating the additional column. My approach seems to be a bit messy and I want to find something cleaner. Does anyone know a smart solution for that?
Thank you in advance.
Artur
Sure, you may do it inside Table.Group function:
= Table.Group(Source, {"Salesman"}, {"Operations", each Table.AddIndexColumn(_, "i", 1, 1)})
P.S. To add existing index column to nested table use this code:
= Table.ReplaceValue(PreviousStep,each [index],0,(a,b,c)=>Table.AddColumn(a,"index", each b),{"Operations"})
Related
I need help on this issue as i don't have any experience in Power Bi. I want to join 2 table in Power Bi where it have the same column which is Part_Number. How can i make this 2 table to match by Part Number and return the value?
Recon Table
Inventory Table
I would like to have Part Number, Part Name, QTY, Total Quantity as the result. Hope that i can the clarification i need. Thanks a lot!
For this case you simply must merge the tables. It doesn't look like you have done a lot of research on the matter though, so it's hard to understand exactly what you need help with.
To merge your two tables in Power Query, I would right click in the left hand side menu and select Merge Queries as New.
After that you simply follow the on-screen instructions and select your two tables and their respective key columns. After merging you can choose to disable load of your two original tables to save space in your data model, but this depends on your requirements.
If this was my data model, I would think on why joining these tables are necessary, instead of using these two tables as fact tables, and creating a third table to handle the part number dimension with associated part metadata.
Read the docs: Merge queries in Power Query
so, I got 3 xlsx full of data already treated, so I pretty much just got to display the data using the graphs. The problem seems to be, that Powerbi aggregates all numeric data (using: count, sum, etc.) In their community they suggest to create new measures, the thing is, in that case I HAVE TO CREATE A LOT OF MEASURES...Also, I tried to convert the data to text and even so, Powerbi counts it!!!
any help, pls?
There are several ways to tackle this:
When you pull a field into the field well for a visualisation, you can click the drop down in the field well and select "Don't summarize"
in the data model, select the column and on the ribbon select "don't summarize" as the summarization option in the Properties group.
The screenshot shows the field well option on the left and the data model options on the right, one for a numeric and one for a text field.
And, yes, you never want to use the implicit measures, i.e. the automatic calculations that Power BI creates. If you want to keep on top of what is being calculated, create your own measures, and yes, there will be many.
Edit: If by "aggregating" you are referring to the fact that text values will be grouped in a table (you don't see any duplicates), then you need to add a column with unique values to the table so all the duplicates of the text values show up. This can be done in the data source by adding an Index column, then using that Index column in the table and setting it to a very narrow with to make it invisible.
I want to create a second table from the first table using filters with dates and other variables as follows. How can I create this?
Following is the expected table and original table,
Go to Edit Queries. Lets say our base table is named RawData. Add a blank query and use this expression to copy your RawData table:
=RawData
The new table will be RawDataGrouped. Now select the new table and go to Home > Group By and use the following settings:
The result will be the following table. Note that I didnt use the exactly values you used to keep this sample at a miminum effort:
You also can now create a relationship between this two tables (by the Index column) to use cross filtering between them.
You could show the grouped data and use the relationship to display the RawDate in a subreport (or custom tooltip) for example.
I assume you are looking for a calculated table. Below is the workaround for the same,
In Query Editor you can create a duplicate table of the existing (Original) table and select the Date Filter -> Is Earliest option by clicking right corner of the Date column in new duplicate table. Now your table should contain only the rows which are having minimum date for the column.
Note: This table is dynamic and will give subsequent results based on data changes in the original table, but you to have refresh both the table.
Original Table:
Desired Table:
When I have added new column into it, post to refreshing dataset I have got below result (This implies, it is doing recalculation based on each data change in the original source)
New data entry:
Output:
I am rather new to Power Bi and I have a question i can't find the answer to.
I want to import a table that have some label columns, with repeated items, and more than 15 data columns.
My desire result would be to group the label columns, so no repeated items, and aggregate the values of the remaining columns.
Is there a way to do that in PQ editor or DAX ?
I appreciate any help or direction you can give me!
A sample of the table (it's much bigger, with multiple values in the first three columns)
Table Sample
Thanks a lot
Edit: From that sample, the output y I want is the following
Output Sample
The thing is, there are many different values in the first columns, and i need to agreggate all the other values, keeping they column name (cause this info is already linked to other files).
Maybe the only way is to group by and add the columns, renaming them one by one?
I want to do this in a couple of files, so if you know of another way please let me know!
In your query designer import your table. Then go to Home > Group By and group like you want it, the same goes for the aggregations and thats it.
If you just want to remove row duplicates, just group all columns which you dont want to aggregate and the rest can be aggregated like you want it.
Working on a way to compare 2 tables in PowerBI.
I'm joining the 2 tables using the primary key and making custom columns that compare if the old and new are equal.
This doesn't seem like the most efficient way of doing things, and I can't even color code the matrix because some values aren't integers.
Any suggestions?
I did a big project like this last year, comparing two versions of a data warehouse (SQL database).
I tackled most of it in the Query Editor (actually using Power Query for Excel, but that's the same as PBI's Query Editor).
My key technique was to first create a Query for each table, and use Unpivot Other Columns on everything apart from the Primary Key columns. This transforms it into rows of Attribute, Value. You can filter Attribute to just the columns you want to compare.
Then in a new Query you can Merge & Expand the "old" and "new" Queries, joining on on the Primary Key columns + the Attribute column. Then add Filter or Add Column steps to get to your final output.