can help to suggest how to use JSL "select where" function to select data and subset?
for example, I want to select cell match (XY018, XY023, XY033, XY038, XY039, XY050), it may from different lot (lot column may have more than 10 different groups, so how to use JSL use required criteria above to select "SITE" column and subset the data, thanks a lot.
| LOT | SITE | Data |
| LL01 | XY001 | 0.546728 |
| LL01 | XY002 | 0.055965 |
| LL01 | XY003 | 0.303851 |
| LL01 | XY004 | 0.858696 |
| LL01 | XY005 | 0.089441 |
| LL01 | XY006 | 0.6769 |
| LL01 | XY007 | 0.764777 |
| LL01 | XY008 | 0.232966 |
| LL01 | XY009 | 0.464361 |
| LL01 | XY010 | 0.647894 |
| LL01 | XY011 | 0.197118 |
| LL01 | XY012 | 0.824098 |
| LL01 | XY013 | 0.288582 |
| LL01 | XY014 | 0.758274 |
| LL01 | XY015 | 0.360068 |
| LL01 | XY016 | 0.996029 |
| LL01 | XY017 | 0.557039 |
| LL01 | XY018 | 0.579821 |
| LL01 | XY019 | 0.84759 |
| LL01 | XY020 | 0.5814 |
| LL01 | XY021 | 0.249923 |
| LL01 | XY022 | 0.126439 |
| LL01 | XY023 | 0.815976 |
| LL01 | XY024 | 0.340023 |
| LL01 | XY025 | 0.228621 |
| LL01 | XY026 | 0.356278 |
| LL01 | XY027 | 0.815186 |
| LL01 | XY028 | 0.483265 |
| LL01 | XY029 | 0.950447 |
| LL01 | XY030 | 0.397944 |
| LL01 | XY031 | 0.179747 |
| LL01 | XY032 | 0.892906 |
| LL01 | XY033 | 0.831573 |
| LL01 | XY034 | 0.207603 |
| LL01 | XY035 | 0.644884 |
| LL01 | XY036 | 0.557065 |
| LL01 | XY037 | 0.00514 |
| LL01 | XY038 | 0.692865 |
| LL01 | XY039 | 0.793528 |
| LL01 | XY040 | 0.545025 |
| LL01 | XY041 | 0.908561 |
| LL01 | XY042 | 0.020471 |
| LL01 | XY043 | 0.656038 |
| LL01 | XY044 | 0.785081 |
| LL01 | XY045 | 0.426485 |
| LL01 | XY046 | 0.331112 |
| LL01 | XY047 | 0.158288 |
| LL01 | XY048 | 0.025213 |
| LL01 | XY049 | 0.262702 |
| LL01 | XY050 | 0.373579 |
| LL01 | XY051 | 0.440254 |
| XY02 | XY001 | 0.163887 |
| XY02 | XY002 | 0.371756 |
| XY02 | XY003 | 0.403243 |
| XY02 | XY004 | 0.003273 |
| XY02 | XY005 | 0.487236 |
| XY02 | XY006 | 0.137888 |
| XY02 | XY007 | 0.29748 |
| XY02 | XY008 | 0.955243 |
| XY02 | XY009 | 0.012711 |
| XY02 | XY010 | 0.576878 |
| XY02 | XY011 | 0.944287 |
| XY02 | XY012 | 0.776797 |
| XY02 | XY013 | 0.158493 |
| XY02 | XY014 | 0.598779 |
| XY02 | XY015 | 0.714543 |
| XY02 | XY016 | 0.29589 |
| XY02 | XY017 | 0.969492 |
| XY02 | XY018 | 0.086959 |
| XY02 | XY019 | 0.046462 |
| XY02 | XY020 | 0.037904 |
| XY02 | XY021 | 0.360544 |
| XY02 | XY022 | 0.534296 |
| XY02 | XY023 | 0.35869 |
| XY02 | XY024 | 0.380169 |
| XY02 | XY025 | 0.17056 |
| XY02 | XY026 | 0.012633 |
| XY02 | XY027 | 0.59057 |
| XY02 | XY028 | 0.716395 |
| XY02 | XY029 | 0.136862 |
| XY02 | XY030 | 0.849967 |
| XY02 | XY031 | 0.17172 |
| XY02 | XY032 | 0.870706 |
| XY02 | XY033 | 0.415646 |
| XY02 | XY034 | 0.434663 |
| XY02 | XY035 | 0.588884 |
| XY02 | XY036 | 0.845628 |
| XY02 | XY037 | 0.831929 |
| XY02 | XY038 | 0.149653 |
| XY02 | XY039 | 0.222923 |
| XY02 | XY040 | 0.383863 |
| XY02 | XY041 | 0.965367 |
| XY02 | XY042 | 0.019468 |
| XY02 | XY043 | 0.968852 |
| XY02 | XY044 | 0.418934 |
| XY02 | XY045 | 0.122715 |
| XY02 | XY046 | 0.705794 |
| XY02 | XY047 | 0.882526 |
| XY02 | XY048 | 0.836149 |
| XY02 | XY049 | 0.330755 |
| XY02 | XY050 | 0.21195 |
| XY02 | XY051 | 0.474435 |