Beware Wet Paint
New Member
- Joined
- Jul 9, 2013
- Messages
- 34
<style>table { }td { padding: 0px; color: black; font-size: 12pt; font-weight: 400; font-style: normal; text-decoration: none; font-family: Calibri,sans-serif; vertical-align: bottom; border: medium none; white-space: nowrap; }.xl63 { font-weight: 700; }.xl64 { text-align: center; }</style> [TABLE="class: grid, width: 598"]
<colgroup><col style="mso-width-source:userset;mso-width-alt:7509;width:176pt" width="176"> <col style="mso-width-source:userset;mso-width-alt:3157;width:74pt" width="74"> <col style="width:65pt" width="65"> <col style="mso-width-source:userset;mso-width-alt:2858;width:67pt" width="67"> <col style="width:65pt" span="2" width="65"> <col style="mso-width-source:userset;mso-width-alt:3669;width:86pt" width="86"> </colgroup><tbody>[TR]
[TD="width: 176"][/TD]
[TD="width: 176"]A
[/TD]
[TD="width: 74"]B
[/TD]
[TD="width: 65"]C
[/TD]
[TD="width: 67"]D
[/TD]
[TD="width: 65"]E
[/TD]
[TD="width: 65"]F
[/TD]
[TD="width: 86"]G
[/TD]
[/TR]
[TR]
[TD="width: 176"]1
[/TD]
[TD="width: 176"]Name
[/TD]
[TD="width: 74"]Checkouts[/TD]
[TD="width: 65"]Kiosk[/TD]
[TD="width: 67"]Self-Scan[/TD]
[TD="width: 65"]CSD[/TD]
[TD="width: 65"]Trolleys[/TD]
[TD="width: 86"]Number of skills[/TD]
[/TR]
[TR]
[TD]2
[/TD]
[TD]Simon
[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]3[/TD]
[/TR]
[TR]
[TD]3
[/TD]
[TD]Heather
[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]4[/TD]
[/TR]
[TR]
[TD]4
[/TD]
[TD]Emma
[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]1[/TD]
[/TR]
[TR]
[TD]5
[/TD]
[TD]Jasmine
[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]3[/TD]
[/TR]
[TR]
[TD]6
[/TD]
[TD]Hannah
[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]4[/TD]
[/TR]
[TR]
[TD]7
[/TD]
[TD]Sharon
[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]3[/TD]
[/TR]
[TR]
[TD]8
[/TD]
[TD]Susan
[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]4[/TD]
[/TR]
[TR]
[TD]9
[/TD]
[TD]James
[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]1[/TD]
[/TR]
[TR]
[TD]10
[/TD]
[TD]Emily
[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]1[/TD]
[/TR]
[TR]
[TD]11
[/TD]
[TD]Paul
[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]1[/TD]
[/TR]
[TR]
[TD]12
[/TD]
[TD]Sharon
[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]1[/TD]
[/TR]
[TR]
[TD]13
[/TD]
[TD]Amy
[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]1[/TD]
[/TR]
[TR]
[TD]14
[/TD]
[TD]Franny
[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]2[/TD]
[/TR]
[TR]
[TD]15
[/TD]
[TD]Patrick
[/TD]
[TD]Trained[/TD]
[TD]Underage[/TD]
[TD]Underage[/TD]
[TD]Underage[/TD]
[TD]Trained[/TD]
[TD]2[/TD]
[/TR]
[TR]
[TD]16
[/TD]
[TD]Zoe
[/TD]
[TD]Trained[/TD]
[TD]Underage[/TD]
[TD]Underage[/TD]
[TD]Underage[/TD]
[TD]Not trained[/TD]
[TD]1[/TD]
[/TR]
[TR]
[TD]17
[/TD]
[TD]Anthony
[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]1[/TD]
[/TR]
[TR]
[TD]18
[/TD]
[TD]Val
[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]1[/TD]
[/TR]
[TR]
[TD]19
[/TD]
[TD]Lousie
[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]2[/TD]
[/TR]
[TR]
[TD]20
[/TD]
[TD]Natalie
[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]3[/TD]
[/TR]
[TR]
[TD]21
[/TD]
[TD]Peter
[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]3[/TD]
[/TR]
[TR]
[TD]22
[/TD]
[TD]Shirley
[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]1[/TD]
[/TR]
[TR]
[TD]23
[/TD]
[TD]Karen
[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]2[/TD]
[/TR]
[TR]
[TD]24
[/TD]
[TD]Nick
[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]Trained[/TD]
[TD]1[/TD]
[/TR]
[TR]
[TD]25
[/TD]
[TD]Lee
[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]3[/TD]
[/TR]
[TR]
[TD]26
[/TD]
[TD]Joshua
[/TD]
[TD]Trained[/TD]
[TD]Underage[/TD]
[TD]Underage[/TD]
[TD]Underage[/TD]
[TD]Trained[/TD]
[TD]2[/TD]
[/TR]
[TR]
[TD]27
[/TD]
[TD]Ayesha
[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]4[/TD]
[/TR]
[TR]
[TD]28
[/TD]
[TD]Claire
[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]2[/TD]
[/TR]
[TR]
[TD]29
[/TD]
[TD]Betty
[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]2[/TD]
[/TR]
[TR]
[TD]30
[/TD]
[TD]Adam
[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]3[/TD]
[/TR]
[TR]
[TD]31
[/TD]
[TD]Julie
[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]2[/TD]
[/TR]
[TR]
[TD]32
[/TD]
[TD]Martin
[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]1[/TD]
[/TR]
[TR]
[TD]33
[/TD]
[TD]Hilary
[/TD]
[TD]Trained[/TD]
[TD]Underage[/TD]
[TD]Underage[/TD]
[TD]Underage[/TD]
[TD]Not trained[/TD]
[TD]1[/TD]
[/TR]
[TR]
[TD]34
[/TD]
[TD]Jack
[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Trained[/TD]
[TD]3[/TD]
[/TR]
[TR]
[TD]35
[/TD]
[TD]Laura
[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]3[/TD]
[/TR]
[TR]
[TD]36
[/TD]
[TD]Anna
[/TD]
[TD]Trained[/TD]
[TD]Underage[/TD]
[TD]Underage[/TD]
[TD]Underage[/TD]
[TD]Not trained[/TD]
[TD]1[/TD]
[/TR]
[TR]
[TD]37
[/TD]
[TD]Joe
[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Trained[/TD]
[TD]3[/TD]
[/TR]
[TR]
[TD]38
[/TD]
[TD]Elle
[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]2[/TD]
[/TR]
[TR]
[TD]39
[/TD]
[TD]Jane
[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]1[/TD]
[/TR]
[TR]
[TD]40
[/TD]
[TD]Chris
[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Trained[/TD]
[TD]3[/TD]
[/TR]
[TR]
[TD]41
[/TD]
[TD]Maria
[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]2[/TD]
[/TR]
[TR]
[TD]42
[/TD]
[TD]Rory
[/TD]
[TD]Trained[/TD]
[TD]Underage[/TD]
[TD]Underage[/TD]
[TD]Not trained[/TD]
[TD]Trained[/TD]
[TD]2[/TD]
[/TR]
[TR]
[TD]43
[/TD]
[TD]Jamie
[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Trained[/TD]
[TD]3[/TD]
[/TR]
[TR]
[TD]44
[/TD]
[TD]Victoria
[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]2[/TD]
[/TR]
[TR]
[TD]45
[/TD]
[TD]Christian
[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Trained[/TD]
[TD]4[/TD]
[/TR]
[TR]
[TD]46
[/TD]
[TD]Total no of colleagues trained[/TD]
[TD]42[/TD]
[TD]13[/TD]
[TD]27[/TD]
[TD]4[/TD]
[TD]9[/TD]
[TD][/TD]
[/TR]
</tbody>[/TABLE]
Hello, I was wondering if anyone would possibly be able to help me.
Above is a spreadsheet I created of colleagues explaining which skills they are trained in: the text in each cell which intersects a name with a skill is selected from a drop-down menu of validated criteria: 'trained, not trained, underage'.
In column G I have calculated the total number of skills each colleague is trained in by using the formula =COUNTIF(B2:F2,"Trained") etc.
In row 46 I have calculated the total number of colleagues trained in a skill by using the formula =COUNTIF(B2:B45,"Trained") etc.
I was wondering if there would be a way to use a formula to return a list of names of colleagues who are trained in various combinations of skills? E.g a formula which would produce a list of names of colleagues who are trained on both checkout and self-scan etc? I'm uncertain as to which function/functions I'd have to use to achieve this or if this is even possible?
Any help would be brilliant and I'm a relative newbie I'm afraid.
Thank you
<colgroup><col style="mso-width-source:userset;mso-width-alt:7509;width:176pt" width="176"> <col style="mso-width-source:userset;mso-width-alt:3157;width:74pt" width="74"> <col style="width:65pt" width="65"> <col style="mso-width-source:userset;mso-width-alt:2858;width:67pt" width="67"> <col style="width:65pt" span="2" width="65"> <col style="mso-width-source:userset;mso-width-alt:3669;width:86pt" width="86"> </colgroup><tbody>[TR]
[TD="width: 176"][/TD]
[TD="width: 176"]A
[/TD]
[TD="width: 74"]B
[/TD]
[TD="width: 65"]C
[/TD]
[TD="width: 67"]D
[/TD]
[TD="width: 65"]E
[/TD]
[TD="width: 65"]F
[/TD]
[TD="width: 86"]G
[/TD]
[/TR]
[TR]
[TD="width: 176"]1
[/TD]
[TD="width: 176"]Name
[/TD]
[TD="width: 74"]Checkouts[/TD]
[TD="width: 65"]Kiosk[/TD]
[TD="width: 67"]Self-Scan[/TD]
[TD="width: 65"]CSD[/TD]
[TD="width: 65"]Trolleys[/TD]
[TD="width: 86"]Number of skills[/TD]
[/TR]
[TR]
[TD]2
[/TD]
[TD]Simon
[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]3[/TD]
[/TR]
[TR]
[TD]3
[/TD]
[TD]Heather
[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]4[/TD]
[/TR]
[TR]
[TD]4
[/TD]
[TD]Emma
[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]1[/TD]
[/TR]
[TR]
[TD]5
[/TD]
[TD]Jasmine
[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]3[/TD]
[/TR]
[TR]
[TD]6
[/TD]
[TD]Hannah
[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]4[/TD]
[/TR]
[TR]
[TD]7
[/TD]
[TD]Sharon
[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]3[/TD]
[/TR]
[TR]
[TD]8
[/TD]
[TD]Susan
[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]4[/TD]
[/TR]
[TR]
[TD]9
[/TD]
[TD]James
[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]1[/TD]
[/TR]
[TR]
[TD]10
[/TD]
[TD]Emily
[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]1[/TD]
[/TR]
[TR]
[TD]11
[/TD]
[TD]Paul
[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]1[/TD]
[/TR]
[TR]
[TD]12
[/TD]
[TD]Sharon
[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]1[/TD]
[/TR]
[TR]
[TD]13
[/TD]
[TD]Amy
[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]1[/TD]
[/TR]
[TR]
[TD]14
[/TD]
[TD]Franny
[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]2[/TD]
[/TR]
[TR]
[TD]15
[/TD]
[TD]Patrick
[/TD]
[TD]Trained[/TD]
[TD]Underage[/TD]
[TD]Underage[/TD]
[TD]Underage[/TD]
[TD]Trained[/TD]
[TD]2[/TD]
[/TR]
[TR]
[TD]16
[/TD]
[TD]Zoe
[/TD]
[TD]Trained[/TD]
[TD]Underage[/TD]
[TD]Underage[/TD]
[TD]Underage[/TD]
[TD]Not trained[/TD]
[TD]1[/TD]
[/TR]
[TR]
[TD]17
[/TD]
[TD]Anthony
[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]1[/TD]
[/TR]
[TR]
[TD]18
[/TD]
[TD]Val
[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]1[/TD]
[/TR]
[TR]
[TD]19
[/TD]
[TD]Lousie
[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]2[/TD]
[/TR]
[TR]
[TD]20
[/TD]
[TD]Natalie
[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]3[/TD]
[/TR]
[TR]
[TD]21
[/TD]
[TD]Peter
[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]3[/TD]
[/TR]
[TR]
[TD]22
[/TD]
[TD]Shirley
[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]1[/TD]
[/TR]
[TR]
[TD]23
[/TD]
[TD]Karen
[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]2[/TD]
[/TR]
[TR]
[TD]24
[/TD]
[TD]Nick
[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]Trained[/TD]
[TD]1[/TD]
[/TR]
[TR]
[TD]25
[/TD]
[TD]Lee
[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]3[/TD]
[/TR]
[TR]
[TD]26
[/TD]
[TD]Joshua
[/TD]
[TD]Trained[/TD]
[TD]Underage[/TD]
[TD]Underage[/TD]
[TD]Underage[/TD]
[TD]Trained[/TD]
[TD]2[/TD]
[/TR]
[TR]
[TD]27
[/TD]
[TD]Ayesha
[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]4[/TD]
[/TR]
[TR]
[TD]28
[/TD]
[TD]Claire
[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]2[/TD]
[/TR]
[TR]
[TD]29
[/TD]
[TD]Betty
[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]2[/TD]
[/TR]
[TR]
[TD]30
[/TD]
[TD]Adam
[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]3[/TD]
[/TR]
[TR]
[TD]31
[/TD]
[TD]Julie
[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]2[/TD]
[/TR]
[TR]
[TD]32
[/TD]
[TD]Martin
[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]1[/TD]
[/TR]
[TR]
[TD]33
[/TD]
[TD]Hilary
[/TD]
[TD]Trained[/TD]
[TD]Underage[/TD]
[TD]Underage[/TD]
[TD]Underage[/TD]
[TD]Not trained[/TD]
[TD]1[/TD]
[/TR]
[TR]
[TD]34
[/TD]
[TD]Jack
[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Trained[/TD]
[TD]3[/TD]
[/TR]
[TR]
[TD]35
[/TD]
[TD]Laura
[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]3[/TD]
[/TR]
[TR]
[TD]36
[/TD]
[TD]Anna
[/TD]
[TD]Trained[/TD]
[TD]Underage[/TD]
[TD]Underage[/TD]
[TD]Underage[/TD]
[TD]Not trained[/TD]
[TD]1[/TD]
[/TR]
[TR]
[TD]37
[/TD]
[TD]Joe
[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Trained[/TD]
[TD]3[/TD]
[/TR]
[TR]
[TD]38
[/TD]
[TD]Elle
[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]2[/TD]
[/TR]
[TR]
[TD]39
[/TD]
[TD]Jane
[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]1[/TD]
[/TR]
[TR]
[TD]40
[/TD]
[TD]Chris
[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Trained[/TD]
[TD]3[/TD]
[/TR]
[TR]
[TD]41
[/TD]
[TD]Maria
[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]2[/TD]
[/TR]
[TR]
[TD]42
[/TD]
[TD]Rory
[/TD]
[TD]Trained[/TD]
[TD]Underage[/TD]
[TD]Underage[/TD]
[TD]Not trained[/TD]
[TD]Trained[/TD]
[TD]2[/TD]
[/TR]
[TR]
[TD]43
[/TD]
[TD]Jamie
[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Trained[/TD]
[TD]3[/TD]
[/TR]
[TR]
[TD]44
[/TD]
[TD]Victoria
[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Not trained[/TD]
[TD]2[/TD]
[/TR]
[TR]
[TD]45
[/TD]
[TD]Christian
[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Trained[/TD]
[TD]Not trained[/TD]
[TD]Trained[/TD]
[TD]4[/TD]
[/TR]
[TR]
[TD]46
[/TD]
[TD]Total no of colleagues trained[/TD]
[TD]42[/TD]
[TD]13[/TD]
[TD]27[/TD]
[TD]4[/TD]
[TD]9[/TD]
[TD][/TD]
[/TR]
</tbody>[/TABLE]
Hello, I was wondering if anyone would possibly be able to help me.
Above is a spreadsheet I created of colleagues explaining which skills they are trained in: the text in each cell which intersects a name with a skill is selected from a drop-down menu of validated criteria: 'trained, not trained, underage'.
In column G I have calculated the total number of skills each colleague is trained in by using the formula =COUNTIF(B2:F2,"Trained") etc.
In row 46 I have calculated the total number of colleagues trained in a skill by using the formula =COUNTIF(B2:B45,"Trained") etc.
I was wondering if there would be a way to use a formula to return a list of names of colleagues who are trained in various combinations of skills? E.g a formula which would produce a list of names of colleagues who are trained on both checkout and self-scan etc? I'm uncertain as to which function/functions I'd have to use to achieve this or if this is even possible?
Any help would be brilliant and I'm a relative newbie I'm afraid.
Thank you