How to filter on multiple columns in single table

Question

i have one requirement:

list of columns like(Reason1,Reson2,.....,Name,Calimid,Patient)

i have 10 columns(Reason1, Reason2,Reason3,Reason4........)  in single table. but conditions  reason1 =2 , for the claimid count or claimid values. i want show only 2 for all 10 columns.

Note: we need to show only Reason 2 claimid list,plz create any dax cal?

Comments

Thank you so much.

first question is by using date diff create a weekdays possible or not?

ex: 20/09/2018 and 2/04/2016 (2 difference dates)

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Glad to help @vnk.

I have no idea about it. But you can refer to this.

https://community.powerbi.com/t5/Desktop/DATEDIFF-Working-Days/td-p/130662

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1)How do you Implement Incremental Refresh in Power BI and what are the necessary in services. explain details.

 - incremental refresh

- Fully Load

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@vnk, 

https://www.edureka.co/community/58828/how-to-implement-incremental-refresh-in-power-bi

You do not need any services. If the number of rows in the dataset is within the maximum number of rows in Power BI Desktop, then the dataset can be fully loaded else you need to either filter or load a subset of the dataset. 

To load large data during incremental refresh, Power BI Desktop makes use of range parameters. Find the complete instructions here.

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Thanks,

i have 2 requirements in power bi

1) in desktop User select  May Month it is showing  Previous 3 Month.how to create dax calculation?

Ex: Select May-- Display (March, Apr, May)

2) IN Service,Filter Month- Every Month automatic display the current Month , how to create?

Ex: now Current Month is Oct- Next Month is November; But November Month it is automatic showing  Nov month, user Not select the Nov month.is possible or Not?

Answer 1

I used dummy data to show how to get the output like yours.

Dummy Data -  I took 4 Reasons to create a table.

Now Load the data into Power BI.

Then Click on All reason columns and click on unpivot columns to collect all reason codes in one Reason columns and Reason Codes field.

Like below - 

Apply and close the editor, Go to Power BI Desktop. Follow below steps:

1. Select table from Visualizations.

2. Select Reason codes, Claim_id and amount columns.

3. Click on arrow button next to Reason codes and select Dont Summarize instead of Sum.

4. The table will be shown as below.

Comments

Do you want to remove many to many relationship between tables?

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No,we need to find the many to one relationship.but the count is matching for payers.

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Hi, you can refer to this blog to deal with many to many and with many to one relationships.

https://docs.microsoft.com/en-us/power-bi/desktop-many-to-many-relationships

I do not know much about Many to many relationships in Power BI. It might help you.

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thanks for your reply. NEw requirement:

i have one table, in table columns contains Master,claimid,billed,paid,servicecode,reasoncodeA1,AmountA1,quanityA1,,...etc we have 9 reasoncoden,Amountn,Quantityn coumns data available. see below columns

Master,Claimid,billed,Paid,servicecode,reasoncodeA1,AmountA1,QuantityA1,ReasoncodeA2,AmountA2,QuantityA2,ReasoncodeA3,AmountA3,QuantityA3,ReasoncodeB1,AmountB1,QuantityB1,ReasoncodeB2,AmountB2,QuantityB2,ReasoncodeB3,AmountB3,QuantityB3,ReasoncodeC1,AmountC1,QuantityC1,ReasoncodeC2,AmountC2,QuantityC2,ReasoncodeC3,AmountC3,QuantityC3.

123,10160623,400,200,Hv:2309,45,100,2,125,120,3,null,-120,4,22,10,1,125,400,20,null,null,null,2,null,1,45,100,2,16,1000,4

234,10160645,500,600,sv:28902,16,100,2,null,120,3,2,-120,4,125,10,1,45,400,20,46,200,null,16,null,1,167,100,2,35,1000,4------50 rows

example_output: Reasoncode by Claimidcount

we need Reasoncodes,Claimid

Null ,   10160623,10160645          

45 ,10160623 

125,10160623,10160645

22,10160623

2 ,10160623,10160645

16,10160645,10160623

167,10160645

 35 ,10160645 

46,10160645           

in power bi how to combine multiple columns in to single column, we do unpivot ..etc.

can you please correct answer.                 

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Your question is converted as a new question. Kindly visit the below link.

https://www.edureka.co/community/52199/how-to-combine-multiple-columns-in-to-single-column