Data Selection Based on Values

Anonnymouse

New Member
Joined
Jun 28, 2023
Messages
27
Office Version
  1. 365
Platform
  1. Windows
Hello Excel Wizards,

I am trying to see if its possible to do this in excel.

In column C:G I have the original data set and in Column J:M i have a data set of measured values.

I am wondering if its possible to get in column Q the closest values from K:M that are similar to the original data set C:G.

Example C2=Brick One, B2=Value 1 E2=100, F2=200, G2=300
In columns J:M we have 6 examples of values with the name Brick are very similar. So It should then pull that information and put it on O:Q saying there is 6 instances where it is similar or matches.



Book2
ABCDEFGHIJKLMNOPQ
1IdentifierSub-IdentValue 1Value 2Value 3IdentifierValue 1Value 2Value 3IdentifierSub-IdentWhich Value is closest
2Brick OneValue 1100200300Brick One105205305Brick OneValue 16
3Brick OneValue 215025035098331450650750Brick OneValue 27
4Brick TwoValue 1100240500Brick One115215313Brick TwoValue 11
598331Value 1200300400Brick One16126735898331Value 11
698331Value 2506070Brick One10520530598331Value 21
798331Value 3400600700Brick two10024050098331Value 32
8Brick One115215313
998331205305405
1098331556575
11Brick One155255355
12Brick One115215313
13Brick One161267358
14Brick One161267358
15Brick One155255355
16Brick One155255355
17Brick One161267358
18Brick One105205305
1998331400600700
Sheet1
 

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This is a case where you have to define what "similar" means. I took the approach that each value must be within 20% of the reference values. This can be changed in the R2 cell. This matches your expected results.

Book4
ABCDEFGHIJKLMNOPQR
1IdentifierSub-IdentValue 1Value 2Value 3IdentifierValue 1Value 2Value 3IdentifierSub-IdentWhich Value is closestTolerance
2Brick OneValue 1100200300Brick One105205305Brick OneValue 1620%
3Brick OneValue 215025035098331450650750Brick OneValue 27
4Brick TwoValue 1100240500Brick One115215313Brick TwoValue 11
598331Value 1200300400Brick One16126735898331Value 11
698331Value 2506070Brick One10520530598331Value 21
798331Value 3400600700Brick two10024050098331Value 32
8Brick One115215313
998331205305405
1098331556575
11Brick One155255355
12Brick One115215313
13Brick One161267358
14Brick One161267358
15Brick One155255355
16Brick One155255355
17Brick One161267358
18Brick One105205305
1998331400600700
Sheet1
Cell Formulas
RangeFormula
Q2:Q7Q2=LET(r,FILTER($E$2:$G$7,($C$2:$C$7=O2)*($D$2:$D$7=P2)),v_1,INDEX(r,1),v_2,INDEX(r,2),v_3,INDEX(r,3),ROWS(FILTER($J$2:$J$19,($J$2:$J$19=O2)*($K$2:$K$19/v_1<(1+$R$2))*($L$2:$L$19/v_2<(1+$R$2))*($M$2:$M$19/v_3<(1+$R$2))*(v_1/$K$2:$K$19<(1+$R$2))*(v_2/$L$2:$L$19<(1+$R$2))*(v_3/$M$2:$M$19<(1+$R$2)))))
 
Upvote 1
Solution
Hey Eric,

I was running into the issue where it wasn't showing the correct value because I forgot to put the % in cell R2.

Your solution worked. Thank you for the help!
 
Upvote 0
I was playing around with some other approaches, but I'm glad this worked for you! :cool:
 
Upvote 0
I was playing around with some other approaches, but I'm glad this worked for you! :cool:
Hey Eric

Sorry not sure if I need to make another post but I inserted 5000 rows of data and now it gives a #calc.

Do you know if there is a data restriction on how much it can calculate?
 
Upvote 0
Does the #CALC only appear on some lines? The CALC# will appear if there are no "similar-enough" matches for a particular identifier/sub-identifier. You can try playing around with the tolerance value to see if that will work for you, 25%, 40%, whatever. There shouldn't be a restriction on how much data is allowed. It's possible that some rows in your J:M table won't get counted because they're not "similar-enough" to any of the reference values.

Another approach I considered was to count every row in the J:M table by adding it to the "closest" reference value. Again, this depends on how to define "close". Possibly by using the distance formula: SQRT((x1-x2)^2+(y1-y2)^2+(z1-z2)^2). There are other ways, I don't have enough context to really say. Let me know if you want to see that.
 
Upvote 0
Does the #CALC only appear on some lines? The CALC# will appear if there are no "similar-enough" matches for a particular identifier/sub-identifier. You can try playing around with the tolerance value to see if that will work for you, 25%, 40%, whatever. There shouldn't be a restriction on how much data is allowed. It's possible that some rows in your J:M table won't get counted because they're not "similar-enough" to any of the reference values.

Another approach I considered was to count every row in the J:M table by adding it to the "closest" reference value. Again, this depends on how to define "close". Possibly by using the distance formula: SQRT((x1-x2)^2+(y1-y2)^2+(z1-z2)^2). There are other ways, I don't have enough context to really say. Let me know if you want to see that.
This is still giving me errors, I have attached a bigger data set if this helps.



TestFileV2.xlsx
CDEFGHIJKLMNOPQR
1Item NumberSub-ItemLengthWidthHeightIdentiferValue 1Value 2Value 3Item NumberSub-ItemClosestTolerance
281256931375335260812563762434525481256931#DIV/0!90%
381256932375260335812594538634226081256932#DIV/0!
481259241375335260812594538634525781259241#DIV/0!
581259243375335260812594538633725881259243#DIV/0!
681259451375335260812594538434026181259451#DIV/0!
781259452375260335812594538933526081259452#DIV/0!
891102831400335230812594539633725891102831#DIV/0!
991102832380330230812594538635026091102832#DIV/0!
1091297111365185105812594538433725991297111#DIV/0!
1191297114370195110812594538433725891297114#DIV/0!
1291377301465200145910308251826527591377301#DIV/0!
1391377302464200140910308251426527591377302#DIV/0!
1491551821345235220910308251626727691551821#DIV/0!
1591551822335225204910375551124028691551822#DIV/0!
1691618681360185200910375550924029691618681#DIV/0!
1791618682365190214910614436018210591618682#DIV/0!
1891669011400300245910889036730512791669011#DIV/0!
1991669012380240283910898148028022291669012#DIV/0!
2091669151380235235910898147328221791669151#DIV/0!
2191669152380240252911028341033224691669152#DIV/0!
2291669153380240252911028340633225191669153#DIV/0!
2393523741395295235911028339833225493523741#DIV/0!
2493523742370340213911028340333025293523742#DIV/0!
2593523811610408247911028340333225393523811#DIV/0!
2693523812520320351911028340633025493523812#DIV/0!
2793568191500325245911028340833224693568191#DIV/0!
2893568192510340234911028340133524993568192#DIV/0!
2993696801500405300911028340833224793696801#DIV/0!
3093696802499345306911028340133223993696802#DIV/0!
3193696941500405300911028341533024793696941#DIV/0!
3293696942505345305911177644433020593696942#DIV/0!
3393773361380335214911177643933520493773361#DIV/0!
3493773362398285235911177646830720493773362#DIV/0!
359738429141534070911177644233020997384291#DIV/0!
369738429241033869911178343730030297384292#DIV/0!
37550516738148019519091117834343052935505167381#DIV/0!
38550516738248019518591117834423003005505167382#DIV/0!
39550599392137028013591117834323023025505993921#DIV/0!
40550599392237028013591117834392973085505993922#DIV/0!
41550599392338229513891117834613052785505993923#DIV/0!
42550615183137020427591117834633052815506151831#DIV/0!
43550615183240519527791117834513102795506151832#DIV/0!
44550736706138520017091117834703152675507367061#DIV/0!
45550736706231620119491117834543122705507367062#DIV/0!
46550961278136018520091117834543202735509612781#DIV/0!
47550961278236519021491117834443152535509612782#DIV/0!
48551212312160029017591117834543102575512123121#DIV/0!
49551212312260029017691117834443252515512123122#DIV/0!
50551769192137020427591117834563072655517691921#DIV/0!
51551769192240519527791117834683122655517691922#DIV/0!
52552177984134024424491117834563172585521779841#DIV/0!
53552177984234024424491117834583072635521779842#DIV/0!
54552541351147032517091117834783272625525413511#DIV/0!
55552541351248534017191117935742322025525413512#DIV/0!
56552541351346537521591117935742352015525413513#DIV/0!
57552541351446532518391117935762372015525413514#DIV/0!
5855365165413903159291117935812352005536516541#DIV/0!
59553651654239031510891117935592521955536516542#DIV/0!
60554293254134017520091121853431852055542932541#DIV/0!
61554293254234117719891146304012752215542932542#DIV/0!
62554392455136018520091146303942752215543924551#DIV/0!
63554392455336519022091146303912722215543924553#DIV/0!
64555181438130520316691146303982722215551814381#DIV/0!
65555181438230420513491146303962752215551814382#DIV/0!
66555647464136020417591146303942722215556474641#DIV/0!
67555647464236017021091146303942722215556474642#DIV/0!
68555647470136020417591158584662873165556474701#DIV/0!
69555647470236017021091158725043072655556474702#DIV/0!
70555829397140526522091158723791851515558293971#DIV/0!
71555829397240526520091164114992552385558293972#DIV/0!
72555829915131021022091164115042472385558299151#DIV/0!
73555829915231021024091164115022522385558299152#DIV/0!
74555831978141031026591164115022552385558319781#DIV/0!
75555831978241231724691164114992472385558319782#DIV/0!
76555911808140827027491164115042472395559118081#DIV/0!
77555911808240827525591167075502452075559118082#DIV/0!
78556000498128016522091172653462302285560004981#DIV/0!
79556000498227517517591172653432502125560004982#DIV/0!
80556032108145532520091178184182921565560321081#DIV/0!
81556032108345532520091178184372851515560321083#DIV/0!
82556098622147032027091178184512801505560986221#DIV/0!
83556098622245531527591178184422801485560986222#DIV/0!
84557221669132025322591178184442801485572216691#DIV/0!
8555722166923202532291178184442851515572216692#DIV/0!
86563771634128522515591178184442851515637716341#DIV/0!
87563771634228016022091178184222951505637716342#DIV/0!
88563771638128522515591178184372901485637716381#DIV/0!
89563771638228016022091196534583121075637716382#DIV/0!
90563771639128522515591229975092502725637716391#DIV/0!
91563771639228016022091229974992502715637716392#DIV/0!
92564028298140527529091260135043102635640282981#DIV/0!
93564028298241026032091260135333052635640282982#DIV/0!
949138278384242164
959138839394312127
969138839410312124
979138839398315126
989138839454315109
9991388393982110
1009138897602332235
1019142132480302279
1029142132521300276
1039142132468317264
1049142132482320251
1059142132478312246
1069142132494327258
1079142132490325258
1089142219403205236
1099142219401200237
1109142219410205241
1119142394451245363
1129142394449240364
1139142394456242362
1149142394439262350
1159155182353232233
1169155182377240220
1179156093389265172
118915645046331596
119915645044631596
1209156848362182105
1219156848360182105
1229156848355182105
1239156848355182105
1249156848355182105
1259156848358182105
1269156848355182105
1279156848355185105
1289156848348182105
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1309156848355180105
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1599156848365182110
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1729156848355182105
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1759156848365180111
1769156848370182105
1779156848355182105
17891569333432204
17991569333382205
1809159205542237293
1819159205542237306
1829159205542235303
1839159205540237296
1849159205545240301
1859159205545235302
1869159205540235299
Sheet8
Cell Formulas
RangeFormula
Q2:Q93Q2=LET(r,FILTER($E$2:$G$9000,($C$2:$C$9000=O2)*($D$2:$D$9000=P2)),v_1,INDEX(r,1),v_2,INDEX(r,2),v_3,INDEX(r,3),ROWS(FILTER($J$2:$J$9000,($J$2:$J$9000=O2)*($K$2:$K$9000/v_1<(1+$R$2))*($L$2:$L$9000/v_2<(1+$R$2))*($M$2:$M$9000/v_3<(1+$R$2))*(v_1/$K$2:$K$9000<(1+$R$2))*(v_2/$L$2:$L$9000<(1+$R$2))*(v_3/$M$2:$M$9000<(1+$R$2)))))
 
Upvote 0

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