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I have a table that has Ratified Dates, so I want to count the number of Ratified Dates that have a date in them and by current month, or by specfic Month. For example, there are 3 Ratified dates in September for a specific client Abbreviation, then count those number of times there is a date for September.
Solved! Go to Solution.
Hi @Kornholio
Try this: PBIX 10/20/2019
Let me know if you have any questions.
If this solves your issues, please mark it as the solution, so that others can find it easily. Kudos are nice too.
Nathaniel
Ratified Dates All = VAR _minDate = MIN ( Con2[RatifiedDates] ) VAR _maxDate = MAX ( Con2[RatifiedDates] ) VAR _calc = CALCULATE ( [Countrows2], FILTER ( ALLEXCEPT ( Con2, Con2[DevelopmentCode] ), Con2[RatifiedDates] >= _minDate && Con2[RatifiedDates] <= _maxDate ) ) RETURN _calc
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Here is at least a ouput with all codes and dates. Need to show all Development Codes and there total dates inputted if there is one for he current month. Note the last month in the data is September, but each month it will start fresh, so when the data is inputted on November 1st, then it will show a count of ratified dates for November onwards
.
DEVELOPMENTCODERATIFIED_DATE
AG | 9/15/2019 |
AG | 9/1/2019 |
BH | 7/10/2019 |
BH | 7/31/2019 |
BH | 9/11/2019 |
BM | 6/22/2019 |
BM | 6/2/2019 |
BM | 5/16/2019 |
BM | 9/26/2019 |
BV | 8/2/2019 |
BV | 6/29/2019 |
BV | 8/13/2019 |
BV | 7/14/2019 |
BV | 6/30/2019 |
CC | 8/17/2019 |
CC | 9/24/2019 |
CP | 9/25/2019 |
CP | 8/18/2019 |
CP | 9/8/2019 |
CP | 9/30/2019 |
CP | 9/9/2019 |
CP | 9/22/2019 |
CT | 5/31/2019 |
CT | 5/11/2019 |
EG | 9/15/2019 |
EG | 5/3/2019 |
EG | 5/1/2019 |
EG | 9/29/2019 |
EG | 5/30/2019 |
EG | 9/28/2019 |
EG | 7/26/2019 |
EG | 9/23/2019 |
EG | 9/28/2019 |
EG | 8/11/2019 |
EP | 9/19/2019 |
EP | 5/31/2019 |
EP | 6/25/2019 |
EP | 5/13/2019 |
FC | 6/5/2019 |
FC | 9/20/2019 |
FC | 7/6/2019 |
FF | 9/3/2019 |
FF | 8/9/2019 |
FH | 7/31/2019 |
FH | 8/9/2019 |
FX | 5/1/2019 |
FX | 8/4/2019 |
FX | 6/23/2019 |
FX | 7/15/2019 |
HG | 5/5/2019 |
HR | 5/5/2019 |
HR | 9/20/2019 |
HR | 9/6/2019 |
HR | 5/5/2019 |
HR | 8/8/2019 |
HR | 8/11/2019 |
HR | 8/18/2019 |
HR | 8/11/2019 |
HR | 8/30/2019 |
LF | 8/25/2019 |
LF | 8/1/2019 |
LF | 9/29/2019 |
LF | 9/13/2019 |
LF | 9/6/2019 |
LF | 5/18/2019 |
LF | 9/24/2019 |
LF | 8/5/2019 |
LF | 6/30/2019 |
LF | 6/8/2019 |
LF | 8/4/2019 |
LF | 8/22/2019 |
LH | 8/3/2019 |
LL | 5/31/2019 |
LL | 7/27/2019 |
LL | 8/18/2019 |
LL | 6/9/2019 |
LL | 5/9/2019 |
LL | 9/30/2019 |
LL | 6/11/2019 |
LL | 6/22/2019 |
LP | 6/20/2019 |
MF | 8/10/2019 |
MF | 7/8/2019 |
NR | 6/21/2019 |
OE | 9/29/2019 |
OE | 9/21/2019 |
OE | 8/26/2019 |
OV | 5/30/2019 |
OV | 6/2/2019 |
OV | 6/27/2019 |
PR | 9/25/2019 |
PR | 9/1/2019 |
PR | 6/2/2019 |
PR | 7/16/2019 |
PR | 6/12/2019 |
PR | 7/30/2019 |
RG | 5/28/2019 |
SC | 8/16/2019 |
SC | 9/15/2019 |
SP | 5/4/2019 |
SP | 7/16/2019 |
SS | 8/11/2019 |
SS | 9/25/2019 |
SS | 7/13/2019 |
SS | 6/28/2019 |
SS | 6/21/2019 |
US | 8/29/2019 |
VR | 5/5/2019 |
VR | 9/28/2019 |
VR | 5/29/2019 |
VR | 6/9/2019 |
VR | 8/9/2019 |
VR | 8/1/2019 |
VR | 6/11/2019 |
VR | 6/17/2019 |
WH | 6/28/2019 |
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