Hopefully this is a simple ask but I couldn't figure out how to find it on here.
I have data like this in Power Bi/Power Query:
There's repeated rows/instances for a few of the people in my data. But anytime there's a repeated row for that person, their name does not get repeated. Luckily, I can tell its the same person because of the record_id column.
My simple question is: Can I quickly have Power Bi fill in the blanks? I.e. if record_id L1 is clearly "Erin" --- becauses thats what the first row of it was, can I have it fill in the rest of the missing L1 rows with "erin"?
There is a fill down operation in Power Query that looks like it will do what you want. Just be aware how your data is sorted before you fill. https://learn.microsoft.com/en-us/power-query/fill-values-column
Related
I have data like this:
It comes from REDCap, and as you may be able to tell, the data in the far right columns are repeated variables about each "protocol_title" (the far left column). I.e. "Love it" and "I want a disc instead" are both about "study 2"
I've imported the data into Power Bi and currently I have this:
What I'd like is for the top left visual to only have one row per study (with columns such as principal investigator and method of image transfer, i.e. columns that had data in the first row) and a visual on the lower left with all the right-most columns.
By switching the top visual from a table to a matrix I can kinda accomplish this:
But it adds a bunch of unnecessary columns. As an alternative I thought I could add a filter to the top visual that would filter to "redcap_event_name"=="protocol_information" which would only be those top rows.... but given the visuals are linked, if I do that it removes everything from the bottom visual. I'd like to keep the link between the visuals so that if I select "study2" in the top visual, it'll highlight relevant study 2 information in the bottom one.
So my question is: what's the best approach for making the visuals I want? Are there special settings for visuals? Do I need to do something to the data first in the query? How should I go about this?
You might want to rework you data structure. At first glance, your flat source table could be parsed into two tables :
Protocol
Survey
This can be done in PowerQuery.
For Protocol :
Select columns A to R.
Filter on redcap_event (?) starts by "protocol_info"
Delete empty rows
For Survey
Select columns A (to keep the protocol ID and be able to link both tables), T and U.
Filter on redcap_event (?) starts by "survey"
Delete empty rows.
You should end up with the two table with a one-to-many relationship between Protocol[Protocol_ID] (column A) and Survey[Protocol_ID] (same)
And it should make everything much easier: visuals, calculations...
I am using a power BI matrix report and I want to fill the blank values to 0 in the matrix tables. The data source would be a table from SQL server.
I am looking for options to fill the blank values with 0 using power BI? Any help would be greatly appreciated.
In a given table, (Blank) often comes from "null" in a column. Under Transform data, you can select the column you want to edit, then select "Replace Values" in the Home ribbon. Then it just works like a find and replace in any editor.
As mentioned in the comments, Blank is there for a reason and replacing to 0 may be a bad idea, depending on the data. In general, I try not to destroy any data unless entirely unavoidable.
Consider other solutions:
Like if you just don't want your calculated visualizations to show "(Blank)", do something like Measure = CALCULATE(<something>)+0 and it'll show a calculation of 0 if theres nothing in the column.
If you have a slicer showing a "(Blank)" category, just filter it out in the filters sidebar.
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"})
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.
I am new with Power BI and in my dataset I would like to delete some rows. The rows I want to delete have got an ID. However, these indices do not correspond with the row numbers (Row_nr). Basically my data looks like this:
I would like to delete the rows where ID = 7, 14, 16 and 19 (for example, the dataset I use is much bigger) How can I do this in Power BI?
There are several ways to do this. In both cases, edit the data query.
1.) You can filter the data, i.e. select the column filter drop-down, then untick the values you don't want to include.
2.) Or you can create a calculated column with a formula that looks at the ID column and returns a flag, like "keep" or "delete". In the formula you can construct a more complex logic than in the direct filter. The details for that formula will depend on your business logic. Then, in the next step, filter by that helper column and select only "keep". After that you can remove the helper column.