I'm new in Dax in PowerBi and I wanna ask you if there is a way in which I can write a function where I can manually group the data in bins for example about 50mm, 25 mm, 10 mm, etc ?
The intention is to create a filter in which I write the number and then the data will be grouped based onn the values of the specified bins.
Your data doesn't match your bins but regardless, I would do this in Power Query. The absolute easiest way is highlight the column you're binning and then select add column - column from examples on the ribbon. Type in the first bin and Power Query will fill in the rest.
Adjust the bins if required and then click OK.
These are the steps which I follow
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Related
I want to calculate % of two columns which are already in %.
I want to calculate formula like
Target achieved= ACTUAL/TARGET
But here is ACTUAL is already a measure/calculated metrics so I'm not able to divide these two columns.
Any help would be appreciated..
Make sure both target and actual are actually numbers and not strings. You can do it in transform data (aka Power Query) part, before data is loaded into the report.
After that you should be able to create the measure you want, e.g. something like that:
UPDATE : What happens if Actual is not a column, but a measure?
If Actual measure is based on the columns in the same table as target you shouldn't have a problem. You cannot combine measure and column in the same formula. Measure is an aggregated field and needs to be grouped by another field (if you are familiar with SQL,think of SUM and GROUP BY). Coming back to your problem, you need to create measure out of "Target" column as well (notice I have in the formula SUM('Table'[Plan]) which makes it a measure). Than you can use both of them in the formula, but of course you need to "group" them by something(e.g. date) otherwise it will just show you a total.
I am trying to set up a dashboard with data that looks similar to this:
As you can guess, all of the 'rate' columns are related. I know to create a graphic that shows the totals for all 'rates' I first need to create a measure that is the sum of these 4 columns. My question is, how do I filter that total, based on the columns in the measure?
For example, if I had a line graph for the 'totals' measure:
Is there any way to create a filter visual that would allow me to see just the AA rates on this graph (that is, only measure the sum of the AA rates) or just the UA rates, etc.? Or is there a way to put all 4 columns on the same graph...
and then create a filter visual so single out one of the values fields?
I'm still very new to Power BI, so forgive my possible ignorance.
We need to do a quarterly check-up, on some data.
To get this data, we have an OData endpoint.
Some of the checks require us to get a random sample of data, from within a certain time.
The random sample of data could be something like: "a random 20% of all papers from 01-01-2020 to 01-02-2020".
I'm not sure if this is possible in Power BI.
If possible, I don't know if I need to adjust my query or do these calculations after getting all the data.
You may use RAND() in DAX as a calculated column or a measure (RAND in a measure is not always recalculated as it is volatile).
You can add an index column to your table in power query then apply query changes to load the updated table.
Next step , create a measure :
ramdom mymeasure = RAND()
and add desired fields to a table including the index column that you choose by your logic.
Go to
Visualizations pane > Fields > Visual level filters>
Selected Top N under filter type >Show Top 20 items> Drag random measure to By Value.
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.
I am not sure if my title is correct one, but here is the deal:
I want to make a matrix visualization in Power Bi Desktop. I have fields: ARTICLE_ID and ARTICLE_NAME.
I would like to have both those fields in COLUMNS position in matrix data view. And I need them to be in one row, no need to drill down... because it is one and the same thing...
I need to have ARTICLE_ID and ARTICLE_NAME as two separate columns on the same level. without drilling. And also, I dont want to use concatenation or merging into some third column. is that possible? thanks
1) I started with this sample data.
2) I created a matrix and configured it as shown in the image below.
3) I clicked the forked arrows to show all levels.
4) In the Rows section of the formatting pane, I turned off "Stepped layout".
5) In the Subtotals section, I turned off "Row subtotals".
I don't know if this is exactly what you are looking for, but I think it is the closest I can come up with since you don't want to concatenate the columns together.
If they are from the same table then just drag and drop them into the columns.
The way a matrix works from my understanding in PowerBI is;
Rows are just the headings/categories of the values.
You might need to also go into the format tab, values, and make sure show on rows is on.
For example, let's say our value headings are rainy days and sunny days.
Your columns are months.
The rows will be the 2 categories.
The values will be the values.
As concatenation and "&" does not work in Power BI directquery you can use the below one:
[New_column_name] = if((table_name[column_name]="A" && table_name[column_name]="B"),"AB","NA")
Thanks,
Sachin Kashyap