cancel
Showing results for
Did you mean:

Find everything you need to get certified on Fabric—skills challenges, live sessions, exam prep, role guidance, and more. Get started

Frequent Visitor

## ANALYSIS TABLE/COUNTX FUNCTION

I am trying to create a small analysis table which gives a breakdown of the number of items which fall within certain lead times.. In excel, this would be a simple matter of using COUNTIF/COUNTIFS but i am struggling to re-create this in Power BI.  I've tried using the COUNTX function, but although this doesn't give me an error message when I create the measure, it does when I try and put this in a visual.

I'm aware that there is probably a better way to achieve what I'n trying to do, so would appreciate some guidance about the best way to do this.

This is the output I am trying to achieve:

 Cluster LT (days) # Line Items Less Than 10 1,617 11 - 20 588 21 - 30 600 31 - 50 842 51 - 90 776 > 90 617 Negative LT 14 Total 5,054

What I am trying to do is count the number of items which have lead times in these categories.

Any help would be greatly appreciated.

TIA.

Colin

1 ACCEPTED SOLUTION
Community Champion

@colsand

Now you can use the Customers as filter/slicer

Regards
Zubair

Please try my custom visuals
12 REPLIES 12
Resolver III

Hey,

I don't think you want to use the COUNTIF function for this specific problem.
The better alternative is probably to use CALCULATE or IF depending on your preference.
A measure for the date 11-20 would probably look something like the following:

`Measure for 11-20 = CALCULATE(SUM(Table1[Amount]);Table1[Days] = "11-20")`
Community Champion

Hi @colsand

Such segmentation/ banding is easily achieved using a PARAMETER TABLE in Power BI

See the attached file using your sample data

Here are the steps

Create a parameter table with segements you desire

 Cluster LT (days) Start End Less Than 10 0 10 11 - 20 11 20 21 - 30 21 30 31 - 50 31 50 51 - 90 51 90 > 90 90 200 Negative LT -1000 -1

Then you can add a Calculated Column for # of items within each segment/band as follows

```# Line Items_ =
CALCULATE (
COUNT ( MainTable[Line Items] ),
FILTER (
MainTable,
MainTable[LT (days)] >= Parameter_Table[Start]
&& MainTable[LT (days)] <= Parameter_Table[End]
)
)```

Regards
Zubair

Please try my custom visuals
Frequent Visitor

I have got this to work, but it gives me totals based on all of the data in the table.  I have the rest of the report filtered by customer.  How do I make this filter apply to the parameter table?

Thank you.

Regards.

Colin

Community Champion

Hi @colsand

Or

Provide sample data and desired results

Regards
Zubair

Please try my custom visuals
Frequent Visitor

Hi,

Community Champion

Hi @colsand

The solution to this is to go other way round

Instead of Pulling data from LT Data into Parameter Table..... Pull the Cluster name from Parameter Table into LT Data

Create a calculated Column in LT Data as follows

```Cluster LT =
CALCULATE (
VALUES ( Parameter_Table[Cluster LT (Days)] ),
FILTER (
Parameter_Table,
'LT Data'[Lead Time] >= Parameter_Table[Start]
&& 'LT Data'[Lead Time] <= Parameter_Table[End]
)
)```

Regards
Zubair

Please try my custom visuals
Community Champion

@colsand

Now you can use the Customers as filter/slicer

Regards
Zubair

Please try my custom visuals
Frequent Visitor

Many thanks for your help, that appears to be what I need.

Regards.

Colin

Community Champion

Hi @colsand

I noticed that some of your Lead Times fall in none of the Clusters. For example Leadtime greater than 200

You can always go back and revise the Start and End ranges of your Parameter Table or Add new cluster

Regards
Zubair

Please try my custom visuals
Frequent Visitor

Yes, thank you, I will set the end point way over the maximum to allow for this.

Regards.

Colin

Frequent Visitor

Many thanks for your help.  I will give this a go this afternoon.  Unfotunately, my company's web security policy has blocked access to the attachment, so I will have to get this sorted out.

Regards.

Colin

Community Champion

@colsand

You will find the following article by champs @AlbertoFerrari and Marco Russo very useful

http://www.daxpatterns.com/static-segmentation/

Regards
Zubair

Please try my custom visuals