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Hi
I have the following table that has company data categorized in broader categoreis (labeled as capital letters) and sub-categories (capital letters and a number). There are 3 main scenarios in this table, 1) Category available, but SubCategory not available , 2) No information in a certain year 3) No information in all years. How do I summarize the number of companies in each scenario?
| companyid | FiscalYear | Category | SubCategory |
| 222135 | 2011 | A | A1 |
| 222135 | 2011 | A | A2 |
| 222135 | 2011 | B | B1 |
| 222135 | 2011 | C | |
| 222135 | 2012 | D | D1 |
| 222135 | 2012 | D | D2 |
| 222135 | 2012 | F | F1 |
| 222135 | 2012 | F | F2 |
| 222135 | 2012 | F | F3 |
| 222135 | 2013 | A | A1 |
| 222135 | 2013 | B | B1 |
| 222135 | 2013 | B | B2 |
| 222135 | 2013 | G | G1 |
| 222135 | 2013 | G | G2 |
| 222135 | 2013 | L | L1 |
| 222135 | 2014 | ||
| 222135 | 2014 | ||
| 222135 | 2014 | ||
| 222135 | 2015 | C | C1 |
| 222135 | 2015 | C | C2 |
| 222135 | 2015 | C | C3 |
| 222135 | 2015 | C | C4 |
| 222135 | 2015 | B | B1 |
| 222135 | 2015 | B | B2 |
| 222135 | 2017 | A | A1 |
| 222135 | 2017 | A | A2 |
| 222135 | 2017 | A | A3 |
| 222135 | 2017 | B | B1 |
| 222135 | 2017 | B | B2 |
| 222135 | 2017 | B | B3 |
| 222135 | 2017 | C | |
| 222135 | 2017 | M | |
| 222135 | 2017 | L | |
| 222135 | 2017 | G | |
| 222135 | 2017 | H | H1 |
| 222135 | 2017 | H | H3 |
| 222327 | 2016 | A | |
| 222327 | 2016 | B | |
| 222327 | 2016 | C | |
| 222327 | 2016 | D | |
| 222327 | 2016 | E | |
| 222327 | 2016 | F | |
| 222327 | 2016 | G | |
| 224055 | 2011 | ||
| 224055 | 2011 | ||
| 224055 | 2012 | ||
| 224055 | 2012 | ||
| 224055 | 2013 | ||
| 224055 | 2013 | ||
| 224055 | 2014 | ||
| 224055 | 2014 | ||
| 224055 | 2015 | ||
| 224055 | 2015 | ||
| 224055 | 2016 | ||
| 224055 | 2016 | ||
| 224055 | 2017 | ||
| 224055 | 2017 | ||
| 224055 | 2018 | ||
| 224055 | 2018 |
Solved! Go to Solution.
Hi @wsspglobal ,
What you need is 3 measures as below:
scenario 1 = CALCULATE(DISTINCTCOUNT('Table'[companyid]),filter('Table','Table'[Category]<>BLANK()&&'Table'[SubCategory]=BLANK()))scenario 2 =
CALCULATE(DISTINCTCOUNT('Table'[companyid]),FILTER('Table','Table'[Category]=BLANK()&&'Table'[SubCategory]=BLANK()),'Table'[FiscalYear]=2011)
scenario 3 =
COUNTROWS (
FILTER (
SUMMARIZE (
'Table',
'Table'[companyid],
"Condition", IF (
CALCULATE (
COUNTROWS ( 'Table' ),
FILTER (
'Table',
'Table'[Category] = BLANK ()
&& 'Table'[SubCategory] = BLANK ()
)
)
<> COUNTROWS ( 'Table' ),
FALSE (),
TRUE ()
)
),
[Condition] = TRUE ()
)
)
Then you will see as below:
For the related .pbix file,you can turn to the URL: https://microsoftapc-my.sharepoint.com/:u:/g/personal/v-kellya_microsoft_com/EWEwraSQ_d9Emhnc_mUnFyc...
Hope this would help.
Best Regards,
Kelly
Hi @wsspglobal ,
What you need is 3 measures as below:
scenario 1 = CALCULATE(DISTINCTCOUNT('Table'[companyid]),filter('Table','Table'[Category]<>BLANK()&&'Table'[SubCategory]=BLANK()))scenario 2 =
CALCULATE(DISTINCTCOUNT('Table'[companyid]),FILTER('Table','Table'[Category]=BLANK()&&'Table'[SubCategory]=BLANK()),'Table'[FiscalYear]=2011)
scenario 3 =
COUNTROWS (
FILTER (
SUMMARIZE (
'Table',
'Table'[companyid],
"Condition", IF (
CALCULATE (
COUNTROWS ( 'Table' ),
FILTER (
'Table',
'Table'[Category] = BLANK ()
&& 'Table'[SubCategory] = BLANK ()
)
)
<> COUNTROWS ( 'Table' ),
FALSE (),
TRUE ()
)
),
[Condition] = TRUE ()
)
)
Then you will see as below:
For the related .pbix file,you can turn to the URL: https://microsoftapc-my.sharepoint.com/:u:/g/personal/v-kellya_microsoft_com/EWEwraSQ_d9Emhnc_mUnFyc...
Hope this would help.
Best Regards,
Kelly
Try
case 1 = calculate(count(table[companyid]),filter(table,not(isblank(Category)),isblank(SubCategory )))
case 2 = calculate(sumx(values(table[year],table[case 1])),filter(table,isblank[case 1]))
case 3 = calculate(sumx(table,table[case 1]),filter(table,isblank[case 1]))Appreciate your Kudos. In case, this is the solution you are looking for, mark it as the Solution. In case it does not help, please provide additional information and mark me with @
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