Skip to main content
cancel
Showing results for 
Search instead for 
Did you mean: 

Register now to learn Fabric in free live sessions led by the best Microsoft experts. From Apr 16 to May 9, in English and Spanish.

Reply
Anonymous
Not applicable

Shift value in a column by Dax function

Hi all,

 

I would like to know Is there any function in Dax help shift values in a column.

For example:

Column 1Column 2Column 3
1aa
2bb
3cc
4dd
5ee
6ff
7gg
8hh
9ii

 

Desired result after shifted down 4 rows:

 

Column 1Column 2Column 3
1aa
2bb
3cc
4dd
5ae
6bf
7cg
8dh
9ei
9 REPLIES 9
Anonymous
Not applicable

Hi @amitchandak  and @Anonymous ,

 

Sorry for make you confused.

I current have data of count drilled down by hour.

I know in DAX have a function to calculate same previous date or month (DATEADD or PARALELLPERIOD)

But this two functions cannot use within a column have duplicated values, and my column date has data/time date so it has duplicate date values.

TimeCount
01/01/2018 10:00:00 PM4
01/01/2018 11:00:00 PM2
02/01/2018 12:00:00 AM2
02/01/2018 01:00:00 AM6
02/01/2018 02:00:00 AM4
02/01/2018 03:00:00 AM9
02/01/2018 04:00:00 AM0

 

How can I calculate previous period with this table?

We typically create a date column on timestamp column and use that in time intelligence with date table

Date = Table[timestamp].date

Anonymous
Not applicable

Hello @amitchandak ,

 

I am struggling with this case.

I current ly have a table like this.

TimeCountExpected (if shift 3 rows)
01/01/2018 10:00:00 PM4 
01/01/2018 11:00:00 PM2 
02/01/2018 12:00:00 AM2 
02/01/2018 01:00:00 AM64
02/01/2018 02:00:00 AM42
02/01/2018 03:00:00 AM92
02/01/2018 04:00:00 AM06

How can I use DATEADD function with this table?

In my topic, you mentioned use 

Date = Table[timestamp].date

Could you please help me explain more how to use this?

I want to calculate a count shifted by specific days, just like DATEADD function.

 

Thank you for your help.

Try like

rank = rankx(all(table),table[Time],,asc,dense)
In the below 2 second one should work
expected = maxx(filter(table,table[rank]=earlier(table[rank])-3),table[count])

//OR
expected = maxx(filter(table,table[rank]-3=earlier(table[rank])),table[count])

 

Appreciate your Kudos.

Anonymous
Not applicable

Hi @Anonymous 

 

Create one index column and add the formula which i have suggested.

 

I don't think using measures you can acheive this.

 

Thanks & regards,
Pravin Wattamwar
www.linkedin.com/in/pravin-p-wattamwar

If I resolve your problem Mark it as a solution and give kudos.

Anonymous
Not applicable

Hi @Anonymous 

Try this

create one column

if(table[Column1]<=4,Column2,Lookupvalue(table[Column2],table[Column1],table[Column1]-4)

 

Thanks & regards,
Pravin Wattamwar
www.linkedin.com/in/pravin-p-wattamwar

If I resolve your problem Mark it as a solution and give kudos.

Anonymous
Not applicable

Hello @Anonymous ,

 

Can we express it as a Measure like DATEADD or PARALLELPRERIOD?

In detail, I want to calculate a total Count with Previous Date Period but My data drilled down by Hour. When I use DATEADD or PARALLELPRERIOD, in thrown an exception because column date has duplicated value.

 

My date by count like 

TimeCount
01/01/2018 10:00:00 PM4
01/01/2018 11:00:00 PM2
02/01/2018 12:00:00 AM2
02/01/2018 01:00:00 AM6
02/01/2018 02:00:00 AM4
02/01/2018 03:00:00 AM9
02/01/2018 04:00:00 AM0

Can You explain with the exact source and output?  not making it clear using two posts. Mark me @

Anonymous
Not applicable

Hi @Anonymous 

 

Your main question is differant than this now.

 

Could you please share sample data and expected output.

 

Thanks,

PRavin

Helpful resources

Announcements
Microsoft Fabric Learn Together

Microsoft Fabric Learn Together

Covering the world! 9:00-10:30 AM Sydney, 4:00-5:30 PM CET (Paris/Berlin), 7:00-8:30 PM Mexico City

PBI_APRIL_CAROUSEL1

Power BI Monthly Update - April 2024

Check out the April 2024 Power BI update to learn about new features.

April Fabric Community Update

Fabric Community Update - April 2024

Find out what's new and trending in the Fabric Community.