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h_l
Post Patron
Post Patron

Counting Base on Week on Week result - Day in Raw Data

Hi Senior Users,

 

Can you please help to advise on this.  Sample PBI file is here for download.

In the raw data, there is Clicks by Query, URL by Day

h_l_0-1644464019777.png

 

I have created metric for Week on Week changed Clicks:

Clicks WoW Change = 
var lastweeknum = 
CALCULATE(
    MAX('Date'[YearWeek]),
    FILTER(
        ALL('Date'),
        [YearWeek]<MAX('Date'[YearWeek])
    )
)
var lastweekamount = 
CALCULATE(
    SUM(Metrics[Clicks]),
    FILTER(
          ALL('Date'),
          [YearWeek]=lastweeknum
    )
)
return CALCULATE(SUM(Metrics[Clicks])-lastweekamount)

h_l_1-1644464278837.png

 

Then, how to get: how many URLs got more or less Clicks in this week compare to last week clicks?

For example,

For week 04-APR, 2 URLs got less Clicks, 9 URLs got more.

For week 11-APR, 3 URLs got less Clicks, 8 URLs got more.

 

Thank you.

H

1 ACCEPTED SOLUTION
Jihwan_Kim
Super User
Super User

Hi,

I am not sure how you want to show the visualization, but I assume you want to display the result on the total row of the matrix visualization.

Please check the below picture and the attached pbix file.

 

Picture1.png

 

WoW more or less count: =
IF (
HASONEVALUE ( Metrics[URL] )
|| [Clicks WoW Change] = BLANK (),
[Clicks WoW Change],
VAR newtable =
ADDCOLUMNS (
SUMMARIZE ( ALL ( Metrics ), Metrics[URL], 'Date'[YearWeek] ),
"@countdiff", [Clicks WoW Change]
)
RETURN
"Thisweekmore: "
& COUNTROWS ( FILTER ( newtable, [@countdiff] > 0 ) ) & " / Thisweekless: "
& COUNTROWS ( FILTER ( newtable, [@countdiff] < 0 ) )
)

If this post helps, then please consider accepting it as the solution to help other members find it faster, and give a big thumbs up.


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View solution in original post

4 REPLIES 4
Jihwan_Kim
Super User
Super User

Hi,

I am not sure how you want to show the visualization, but I assume you want to display the result on the total row of the matrix visualization.

Please check the below picture and the attached pbix file.

 

Picture1.png

 

WoW more or less count: =
IF (
HASONEVALUE ( Metrics[URL] )
|| [Clicks WoW Change] = BLANK (),
[Clicks WoW Change],
VAR newtable =
ADDCOLUMNS (
SUMMARIZE ( ALL ( Metrics ), Metrics[URL], 'Date'[YearWeek] ),
"@countdiff", [Clicks WoW Change]
)
RETURN
"Thisweekmore: "
& COUNTROWS ( FILTER ( newtable, [@countdiff] > 0 ) ) & " / Thisweekless: "
& COUNTROWS ( FILTER ( newtable, [@countdiff] < 0 ) )
)

If this post helps, then please consider accepting it as the solution to help other members find it faster, and give a big thumbs up.


Go to My LinkedIn Page


Thanks for the help @Jihwan_Kim , I was thinking just to make another table to list:

h_l_0-1645664526601.png

 

 

Then when apply URL, it can breakdown to see which of the URLs got more/less.

But you've provided very helpful info.

Thanks again.

Have a nice day!

 

amitchandak
Super User
Super User

@h_l , Use week rank on year week or week start date

example

new columns

 

Week Rank = RANKX(all('Date'),'Date'[Week Start date],,ASC,Dense)
OR
Week Rank = RANKX(all('Date'),'Date'[Year Week],,ASC,Dense) //YYYYWW format

 

 

measure example

 

This Week = CALCULATE(sum('Table'[Qty]), FILTER(ALL('Date'),'Date'[Week Rank]=max('Date'[Week Rank])))
Last Week = CALCULATE(sum('Table'[Qty]), FILTER(ALL('Date'),'Date'[Week Rank]=max('Date'[Week Rank])-1))

@amitchandak  Thanks for the reply, you are always helpful. I will try this!

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