Forum Discussion
Anonymous
6 years agoNot applicable
Using IF IN Operator
Hi, I tried the following dax which works using calculate, hwow to simply by using only If statement using IN operator aps=CALCULATE(If(countrows(Pop)>0,"Yes","No"),Pop[city] IN {"Arizona","Arkansa...
- Anonymous6 years ago
Hi Anonymous ,
Create a Measure.
Measure = IF ( MAX(Pop[city])) IN { "Arizona","Arkansas","California","Colorado"},"Yes","No")
Incase you want to create a Calculated Column
Column = IF (Pop[city] IN { "Arizona","Arkansas","California","Colorado"},"Yes","No")
Regards,
Harsh Nathani
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Anonymous
6 years agoNot applicable
Hi Anonymous ,
Can you share sample data, your data model and your expected output to help you on this.
Regards,
Harsh Nathani
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Anonymous
6 years agoNot applicable
Hi Harshnathani,
Measure1 = IF ( MAX(Pop[city]) IN { "Arizona","Arkansas","California","Colorado"},"Yes","No")
Measure2 = max(Pop[city])
Please find the
| No. | City | Population | Measure1 |
| 24 | Alabama | 4859000 | No |
| 48 | Alaska | 738400 | No |
| 14 | Arizona | 6828000 | Yes |
| 33 | Arkansas | 2978000 | Yes |
| 1 | California | 39145000 | Yes |
| 22 | Colorado | 5456500 | Yes |
| 29 | Connecticut | 3590000 | No |
| 45 | Delaware | 946000 | No |
| 3 | Florida | 20271000 | No |
| 8 | Georgia | 10215000 | No |
| 40 | Hawaii | 1431000 | No |
| 39 | Idaho | 1655000 | No |
| 5 | Illinois | 12860000 | No |
| 16 | Indiana | 6619000 | No |
| 30 | Iowa | 3124000 | No |
| 34 | Kansas | 2911000 | No |
| 26 | Kentucky | 4425000 | No |
| 25 | Louisiana | 4671000 | No |
| 42 | Maine | 1329000 | No |
| 19 | Maryland | 6006000 | No |
| 15 | Massachusetts | 6794000 | No |
| 10 | Michigan | 9922000 | No |
| 21 | Minnesota | 5489000 | No |
| 32 | Mississippi | 2992000 | No |
| 18 | Missouri | 6084000 | No |
| 44 | Montana | 1031000 | No |
| 37 | Nebraska | 1896000 | No |
| 35 | Nevada | 2891000 | No |
| 41 | New Hampshire | 1330000 | No |
| 11 | New Jersey | 8958000 | No |
| 36 | New Mexico | 2085000 | No |
| 4 | New York | 19796000 | No |
| 9 | North Carolina | 10043000 | No |
| 47 | North Dakota | 757000 | No |
| 7 | Ohio | 11613000 | No |
| 28 | Oklahoma | 3911000 | No |
| 27 | Oregon | 4029000 | No |
| 6 | Pennsylvania | 12802000 | No |
| 43 | Rhode Island | 1056000 | No |
| 23 | South Carolina | 4896000 | No |
| 46 | South Dakota | 858500 | No |
| 17 | Tennessee | 6600000 | No |
| 2 | Texas | 27469000 | No |
| 31 | Utah | 2996000 | No |
| 49 | Vermont | 624600 | No |
| 12 | Virginia | 8383000 | No |
| 13 | Washington | 7170000 | No |
| 38 | West Virginia | 1844000 | No |
| 20 | Wisconsin | 5771000 | No |
| 50 | Wyoming | 585500 | No |