Remove rows from data

[Anonymous]

Hi Folks,

I have exported data from excel, PFB sample dataset.

ColA	ColB	ColC
aa	bb	23
cc	dd	43
ee	ff	30
	Total	96
gg	hh	10
ii	jj	35
kk	ll	20
	Total	65

Now, I need to remove rows having Totals. So my data after transformation should look like below.

ColA	ColB	ColC
aa	bb	23
cc	dd	43
ee	ff	30
gg	hh	10
ii	jj	35
kk	ll	20

Can someone please advise on how to achieve the same?

Thanks & Regards,

Nikita Dalela | BI Consultant

Nice Software Solutions

[v-zhenbw-msft · Accepted solution]

Hi @Anonymous ,

We can use two ways to meet your requirement. One is in Power Query Editor, another is to create a calculate table.

1. In Power Query Editor, we can create a conditional column. The “Total” is 0, others are 1.

2. Then we filter out the value of 0 in custom column.

3. At last we delete the custom column, the result like this,

Or we can create a calculate table using DAX.

Table 2 = SUMMARIZE(FILTER('Table (2)','Table (2)'[ColB]<>"Total"),'Table (2)'[ColA],'Table (2)'[ColB],'Table (2)'[ColC])

 

If them don’t meet your requirement, could you please show the exact expected result based on the table that you have shared?

BTW, pbix as attached.

Best regards,

Community Support Team _ zhenbw

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

[Anonymous]

Thanks @v-zhenbw-msft ! This worked fine 👍

[sturlaws]

Hi @Anonymous 

if you open up power query from the 'Transform data'-button:

If this post helps, then please consider Accepting it as the solution. Kudos are nice too.

Cheers,
Sturla

[Anonymous]

Hi @sturlaws ,

I am aware of "Remove Rows" in Power Query Editor, however there is no option to remove selected rows or specific rows. My data is huge and has multiple rows containing "Total".

Kindly let me know if I am missing something here.

Thanks & Regards,

Nikita Dalela | BI Consultant

Nice Software Solutions

[sturlaws]

sorry, obviously did not manage to include a screenshot:

[Syndicate_Admin]

works!!! thanks man!!

[Anonymous]

I had earlier tried using this workaround @sturlaws, but, this wouldn't work since the column where"Total" appears could be text/date/location and due to presence of "Total" in its values, I am unable to change the datatye of these columns to date. It will always consider it as a text unless we remove the rows containg total.

[sturlaws]

Your original post did not include that piece of pertinent information 😀

So I altered your sample data a little:

If you click on the Source-step you get the original table. Now filter out the 'Total'-rows and you get this: