Dynamic value lookup

[Anonymous]

Hi, I am doing some analysis on the Google Search data and it involves looking for "new" keywords used in google search in a specified time frame selected from date slicer.

For Eg: 

Keyword table: 

Date                      Keyword       Clicks     Impressions     CTR

23th Jan '20          K3                 1,000        8,920              xxx

16th Feb '20          K2                 1,000        8,920              xxx

10th May'20          K1                 1,000        8,920              xxx

  3rd June '20        K2                 1,000        8,920              xxx

Report: Selected time range: Last 90 days (16th March' 20- 16th June'20). Find all those keywords which are there In the selected time range but not found for any time range before this (start date in the table to 15th March'20)

Required Output:

Date                      Keyword       Clicks     Impressions     CTR

10th May'20          K1                 1,000        8,920              xxx

Please let me know if it is doable in PowerBI and how?

Thanks

Shubham

[v-alq-msft · Accepted solution]

Hi, @Anonymous 

Based on your decription, I created data to reproduce your scenario. The pbix file is attached in the end.

Keyword:

Calendar(a calculated table):

Calendar = CALENDARAUTO()

There is no relationship between two tables. You may create a measure as below.

Visual Control = 
var _date = SELECTEDVALUE(Keytword[Date])
var _keyword = SELECTEDVALUE(Keytword[Keyword])
return
IF(
    _date in DISTINCT('Calendar'[Date])&&
    COUNTROWS(
        FILTER(
            ALL(Keytword),
            NOT(Keytword[Date] in DISTINCT('Calendar'[Date]))&&
            Keytword[Keyword] = _keyword
        )
    )=0,
    1,0
)

Finally you need to put the measure in the visual level filter and use the 'Date' column from 'Calendar' table to filter the result.

Best Regards

Allan

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

[Anonymous]

Thanks @v-alq-msft for the detailed solution. It is exactly what I need. !!

[tex628]

Hi @Anonymous 

I'm assuming that you have a table with your keywords and a slicer set on the last 90 days. If you have this you should be able to create the following measure which should return the amount of references these keywords have before the 90 days selection.

Measure = 
VAR minDate = MIN(Calendar[Date])
Return
IF( COUNTROWS(Maintable) = 0 , BLANK() ,
CALCULATE( COUNTROWS(MainTable) , ALL(Calendar) , Calendar[Date]<minDate )
)

Once you have the correct amount of references you should just be able to add a visual level filter to only display the ones with a measure value of 0. 

Br,
J

[jthomson]

If your data's sorted by date, you could try adding an index by group (method is easily searchable), so for example on your sample data you'd have an additional column that went 1, 1, 1, 2 - it's easy enough to filter on 1 from there

[Anonymous]

Hi, I have used K1, K2 just as examples here in place of actual queries people type into google search. It can be anything, from a single word to even a sentence. Indexing by grouping is not possible