tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: daren_farmer__6539__Jan00_factor
Sheet: Sheet1

 | ENTEX TOTAL TARP (ACTUALS) | [NAME] (ESTIMATES) | [NAME]ESTIMATES) | TARP TOTAL/ ENTEX_TOT_PA
1999-12-01 00:00:00 | 88.572 | 67.339218 | 34.050907
1999-12-02 00:00:00 | 75.443 | 58.478733 | 25.414886
1999-12-03 00:00:00 | 66.906 | 53.524139 | 20.586269
1999-12-04 00:00:00 | 82.524 | 61.274872 | 28.139471
1999-12-05 00:00:00 | 178.746 | 121.305252 | 86.64901
1999-12-06 00:00:00 | 254.287 | 171.348511 | 135.423477
1999-12-07 00:00:00 | 116.306 | 89.850853 | 55.993107
1999-12-08 00:00:00 | 81.401 | 63.911949 | 30.708639
1999-12-09 00:00:00 | 135.536 | 102.137764 | 66.703209
1999-12-10 00:00:00 | 140.965 | 141.047729 | 73.234955
1999-12-11 00:00:00 | 94.153 | 100.086 | 42.09756
1999-12-12 00:00:00 | 116.077 | 113.015 | 51.9556
1999-12-13 00:00:00 | 221.273 | 195.1313 | 114.5683
1999-12-14 00:00:00 | 175.794 | 148.827 | 79.26188
1999-12-15 00:00:00 | 303.062 | 243.5752 | 151.5061
1999-12-16 00:00:00 | 246.153 | 193.765 | 113.526
1999-12-17 00:00:00 | 144.611 | 116.339 | 54.49028
1999-12-18 00:00:00 | 192.925 | 153.8925 | 83.12424
1999-12-19 00:00:00 | 136.851 | 111.4194 | 50.73915
1999-12-20 00:00:00 | 262.787 | 217.5515 | 131.6633
1999-12-21 00:00:00 | 344.422 | 267.019 | 169.382
1999-12-22 00:00:00 | 355.791 | 287.2307 | 184.7927
1999-12-23 00:00:00 | 321.829 | 254.4505 | 159.7983
1999-12-24 00:00:00 | 244.333 | 196.8129 | 115.8504
1999-12-25 00:00:00 | 278.774 | 232.5008 | 143.062
1999-12-26 00:00:00 | 212.109 | 190.2991 | 110.8838
1999-12-27 00:00:00 | 206.696 | 180.996 | 103.79
1999-12-28 00:00:00 | 309.196 | 247.203 | 154.272
1999-12-29 00:00:00 | 203.967 | 177.871 | 101.407
1999-12-30 00:00:00 | 143.01 | 138.8738 | 71.67276
1999-12-31 00:00:00 | 180.761 | 173.2956 | 97.91891
Subtotal
Vidor CG | 190 | <--- December 99 Number
Total
This equation was put into effect on |  | 2000-01-13 00:00:00
January's Entex Factor is: |  | 1.619 * (x) + 37.698
December's Entex Factor was: |  | 1.3115 * (x) + 45.00
where x = [NAME].
Spreadsheet: 856433d1705673067-getting-number-out-of-a-row-excel-forum-help
Sheet: Sheet3

1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | 30 | 31 | 32 | 33 | 34 | 35
25 | 17 | 34 | 27 |  | 19 | 13 | 21 | 7.999999999999999 | 11 | 10 |  | 9.999999999999998 | 13 | 9 | 14 |  | 6 |  | 20 | 4 | 17 |  | 5 | 15 | 11 | 12 | 3 | 13 | 5 |  |  | 6 | 14 | 8.999999999999998
 | 17 | 34 | 27 | 45 | 19 | 13 | 21 | 7.999999999999999 | 11 | 10 | 41 | 9.999999999999998 | 13 | 9 | 14 | 31 | 6 | 43 | 20 | 4 | 17 | 31 | 5 | 15 | 11 | 12 | 3 | 13 | 5 | 30 | 36 | 6 | 14 | 8.999999999999998
Spreadsheet: 647239d1572345843-vlookup-or-formula-to-return-a-number-related-to-a-word-that-is-typed-into-a-cell-xlf_1294426
Sheet: Tennis Data

Clay |  | Name | Age | Wins | Matches | Lost | Surface Win % | Best Surface | Best Surface Win % | Prize Money
Novak Djokovic |  | Novak Djokovic | 32 | 1015 | 1232 | 217 | 0.8118 | Hard | 0.8551 | 134979120
Ashleigh Barty |  | Ashleigh Barty | 23 | 255 | 352 | 97 | 0.6575 | Grass | 0.7838 | 10738372
Spreadsheet: 872054d1718404930-fetching-data-from-list-example-stefanocps-
Sheet: Sheet3

Name 1 | code | Attention of | E-Mail
Spreadsheet: 266866d1379789528-scrollbar-date-setting-depreciation-schedule_new_2
Sheet: Sheet1

 |  |  | 40179
 |  |  | 2010-01-01 00:00:00
 |  |  | 40179
 |  |  | 40544
 |  |  | 40909
 |  |  | 41275
 |  |  | 41640
 |  |  | 42005
 |  |  | 42370
 |  |  | 42736
Spreadsheet: 146679d1332305564-drop-down-list-help-dropdownlist
Sheet: HaiPhong

 | Product and Code | Price
 | Bike
 | HaiPhongB01 | 1000
 | HaiPhongB02 | 4000
 | HaiPhongB03 | 10000
 | Car
 | HaiPhongC01 | 50000
 | HaiPhongC02 | 80000
 | HaiPhongC03 | 90000
 | House
 | HaiPhongH01 | 2000000
 | HaiPhongH02 | 10000000
 | HaiPhongH03 | 4000000
Spreadsheet: 851185d1701403039-sum-index-match-with-mid-array-excel-2016-not-working-book1-3-
Sheet: Sheet1

08:00:00 |  | A |  | adxxacabxxedxxbaexxdd |  |  |  |  | <= | should be 117:30
08:30:00 |  | B
08:30:00 |  | C
08:00:00 |  | D
14:00:00 |  | E
07:00:00 |  | F
08:00:00 |  | G
07:00:00 |  | H
07:00:00 |  | I
07:00:00 |  | J
07:00:00 |  | K
08:00:00 |  | L
08:00:00 |  | M
10:00:00 |  | N
00:00:00 |  | X
Spreadsheet: 796626d1663407731-compare-content-of-2-columns-and-result-test1
Sheet: RECORDS2

 |  |  |  | REGS
 |  |  |  | SX-OAX
 |  |  |  | EI-DVN
 |  |  |  | EI-EDP
 |  |  |  | LV-GKO
 |  |  |  | N128AM
 |  |  |  | YL-AAT
 |  |  |  | YL-AAY
 |  |  |  | C-FPCA
 |  |  |  | EC-LPQ
 |  |  |  | EC-LPR
 |  |  |  | EC-LYR
 |  |  |  | EC-MKL
 |  |  |  | EC-MMX
 |  |  |  | EC-MMY
 |  |  |  | EC-MMP
 |  |  |  | EC-MPG
 |  |  |  | EC-MVY
 |  |  |  | EC-MXM
 |  |  |  | EC-NBM
 |  |  |  | EC-LKM
 |  |  |  | EC-LLR
 |  |  |  | F-GKXH
 |  |  |  | ZA-BEL
 |  |  |  | G-YMMG
 |  |  |  | LN-TUL
 |  |  |  | OY-SRF
 |  |  |  | A9C-TB
 |  |  |  | T7-MRE
 |  |  |  | TC-JJI
 |  |  |  | SX-DGZ
 |  |  |  | HA-LYM
 |  |  |  | EI-DYB
 |  |  |  | OE-IMD
 |  |  |  | OD-MRR
 |  |  |  | A7-BCY
 |  |  |  | 9H-QAN
 |  |  |  | CC-BER
 |  |  |  | LZ-ASR
 |  |  |  | SE-ROP
 |  |  |  | EI-GXM
 |  |  |  | SX-TWO
 |  |  |  | SX-HGA
 |  |  |  | OE-IMC
 |  |  |  | EC-NBU
 |  |  |  | SX-OAW
 |  |  |  | LV-GKO
 |  |  |  | EC-MFO
 |  |  |  | A7-BCA
 |  |  |  | A6-ECT
 |  |  |  | 4X-ELB
 |  |  |  | SU-GCF
 |  |  |  | SX-DVT
 |  |  |  | SX-DGA
 |  |  |  | A7-AIB
 |  |  |  | EI-EVV
 |  |  |  | LN-NGX
 |  |  |  | G-TTNI
 |  |  |  | LN-BKB
 |  |  |  | SX-NIG
 |  |  |  | F-GZHC
 |  |  |  | SX-OBL
 |  |  |  | SX-DGB
 |  |  |  | N77012
 |  |  |  | N796AN
 |  |  |  | TC-LJB
 |  |  |  | HA-LYX
 |  |  |  | SX-DGC
 |  |  |  | VH-JOZ
 |  |  |  | N823NW
 |  |  |  | A7-AEN
 |  |  |  | B-6503
 |  |  |  | C-FMLV
 |  |  |  | G-XLEB
 |  |  |  | EC-MNR
 |  |  |  | F-HUYE
 |  |  |  | C-GDUZ
 |  |  |  | TC-JJP
 |  |  |  | 5B-DDF
 |  |  |  | LN-RCX
 |  |  |  | SP-RSH
 |  |  |  | 4X-EDD
 |  |  |  | PH-BCD
 |  |  |  | HA-LWJ
 |  |  |  | TC-JJN
 |  |  |  | EI-EBI
 |  |  |  | A7-BCQ
 |  |  |  | HA-LXS
 |  |  |  | SE-MAA
 |  |  |  | RA-82078
 |  |  |  | A9C-AL
 |  |  |  | 4X-EDB
 |  |  |  | EC-LRG
 |  |  |  | TC-JJM
 |  |  |  | SX-DNG
 |  |  |  | G-WVIP
 |  |  |  | G-ZBJF
 |  |  |  | OD-MEC
 |  |  |  | CC-BEQ
 |  |  |  | SX-HCN
Spreadsheet: 749674d1632954023-dynamically-auto-filtering-a-shared-excel-document-in-teams-with-iferror-and-index-dynamic-filtering-sarawho-
Sheet: Filter

ItemNumber | Status | BU | Region | FollowUp | ProductGroup | Consolidate |  | Team Filter | CampaignStatus | BusinessUnit | Region | FollowUp | Team | Start Date | Name | Product | Email Series to Use | Template to Select | URL:
 |  |  |  |  |  |  |  | Campaign Status
 |  |  |  |  |  |  |  | Complete
 |  |  |  |  |  |  |  | Business Unit
 |  |  |  |  |  |  |  | Legal
 |  |  |  |  |  |  |  | Region
 |  |  |  |  |  |  |  | North America
 |  |  |  |  |  |  |  | Follow Up Type
 |  |  |  |  |  |  |  | Outbound
 |  |  |  |  |  |  |  | Product Group
 |  |  |  |  |  |  |  | Team D
 |  |  |  |  |  |  |  | *Use the above drop downs to filter document
Spreadsheet: 707034d1607009968-sum-if-excel-function-excel-problem
Sheet: Sum

 | Month |  |  |  | YTD
TV numbers | November |  |  |  | November
 | Numbers |  |  |  | Numbers
 | 2019 11 | 2019 12 |  |  | 2019  11-12 | 2019 1-12
Orange |  | ? |  |  |  | ?
 |  | ? |  |  |  | ?
Blue |  | ? |  |  |  | ?
 |  | ? |  |  |  | ?
Sum
TV turnover | Oktober |  |  |  | Oktober
 | Turnover |  |  |  | Turnover
 | 2019 11 | 2019 12 |  |  | 2019 1-11 | 2019 1-12
Orange |  | ? |  |  | ? | ?
 |  | ? |  |  | ? | ?
Blue |  | ? |  |  | ? | ?
 |  | ? |  |  | ? | ?
GESAMT
Spreadsheet: 828605d1683634949-pulling-data-across-sheets-in-workbook-squad-depth-1-
Sheet: Squad

 | Position | First Name | Surname | Number
 | GK | [NAME] | [NAME] | 1
 | GK | Nathan | Baxter | 51
 | GK | Iván | Arboleda | 13
 | RB |  | Xavi
 | RW | [NAME] | [NAME]
 | LB | [NAME] | [NAME] | 12
 | RCB | Stephen | Welsh | 58
 | RW | [NAME] | Vata | 69
 | RCB | [NAME] | [NAME]
 | LB | Greg | [NAME] | 3
 | RCM | [NAME] | Summers
 | LCB | [NAME] | Starfelt
 | RW | Santiago | Simón | 31
 | DM | Torben | [NAME] | 10
 | LCB | Ewan | Otoo
 | RCM | [NAME] | O'Riley | 33
 | LCB | [NAME] | Olivas
 | CF | Hyeon-Gyu | Oh
 | LW | Mykhaylo | Mudryk
 | LB | Adam | Montgomery
 | LCM | Callum | [NAME] | 42
 | LW | Daizen | Maeda | 38
 | RCB | [NAME] | Lawal | 50
 | LCB | [NAME] | Kobayashi | 18
 | DM | Tomoki | Iwata | 24
 | RCM | Reo | Hatate | 41
 | LW | Tobias | [NAME] | 7
 | RCM | Guðmundur Páll | [NAME] | 91
 | CF | Kyôgo | [NAME] | 11
 | RCB | Cameron | Carter-Vickers | 20
 | RCM | MacKenzie | Carse
 | RB | [NAME] | Carmona | 2
 | DM | [NAME] | Blanco | 21
 | CF | Iván | Azón | 19
 | DM |  | [NAME] | 6
 | CF | [NAME] | [NAME] | 9
 | RB | [NAME] | [NAME] | 22
 | RCM | Billy | Gilmour | 14
 | RW | [NAME] | [NAME] | 17
Spreadsheet: 484948d1476612156-auto-border-every-4-week-on-the-right-calendar
Sheet: Kalender

maandag |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0
dinsdag
woensdag
donderdag
vrijdag
zaterdag
zondag
gewerkt/week
uren/week
aantal u [NAME]
Tot u vuilw
Dagen/ uren gewerkt/maand
maandag
dinsdag
woensdag
donderdag
vrijdag
zaterdag
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | v
zondag
gewerkt/week
uren/week
aantal u [NAME]
Tot u vuilw
Dagen/ uren gewerkt/maand
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | In dagen |  |  | In uren
 |  |  |  |  |  |  |  |  |  |  |  |  |  | Totaal aantal kd dagen [NAME]
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Totaal  kd + totaal [NAME]
Aantal [NAME] |  |  |  |  |  |  |  |  |  |  |  |  |  | Nog verplicht te nemen kd dagen dit [NAME]
 |  |  | [NAME] |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Nog te nemen verlof
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Nog te nemen [NAME]'s
 | 24 |  | Totaal verlof |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Nog te nemen kd's
[NAME] |  |  | V |  | 1/2VVM |  |  | 1/2VNM |  |  | [NAME] |  | 1/2CVVM |  |  | 1/2CVNM |  |  | Z |  | KD |  | 1/2KDVM |  |  | 1/2KDNM |  |  | WO |  | Wo =thuis door werkongeval
 |  | Kredietdagen
 |  | Vanaf 1 januari 2017, [NAME] het aantal [NAME] waarop je recht hebt met een dag verminderd worden per gecumuleerd aantal dagen afwezigheid wegens medische reden van in totaal:
 |  | 28 [NAME] je voltijds werkt;
 |  | 33,5 [NAME] je 32 uur per week werkt;
 |  | 56 kalenderdagen indien je halftijds werkt.
Spreadsheet: darrell_schoolcraft__7319__imball0202
Sheet: williams

 | Milagro |  | La Maquina |  | [NAME] |  | [NAME]
Day | Measured | Scheduled | Measured | Scheduled | Measured | Scheduled | Measured | Scheduled |  |  |  |  |  |  |  | San Juan
1 | 348740 | 348593 | 44952 | 39832 | 34864 | 38368 | 138333 | 132994 |  |  |  | Month | Measured | Scheduled | Imbalance | Index | Amount
2 | 326868 | 331402 | 44933 | 40489 | 36801 | 38316 | 105582 | 103708 |  |  |  | [NAME] |  |  | -34361 |  | 25006
3 | 327137 | 330848 | 45018 | 40410 | 34501 | 39399 | 111726 | 105510 |  |  |  | 2000-12-01 00:00:00 | 19698194 | 19662410 |  | 7.95
4 | 327600 | 330450 | 31087 | 40426 | 42627 | 39399 | 126063 | 126994 |  |  |  | 2001-01-01 00:00:00 | 18949781 | 18975457 |  | 8.1
5 | 305375 | 307821 | 35408 | 35617 | 42536 | 40399 | 135758 | 134714 |  |  |  | 2001-02-01 00:00:00 | 15256233 | 15290953 |  | 5.61
6 | 328360 | 331758 | 32048 | 35617 | 44703 | 37058 | 132131 | 131043 |  |  |  | 2001-03-01 00:00:00 | 17049350 | 17089226 |  | 4.87
7 | 319506 | 320155 | 23179 | 22626 | 38348 | 37079 | 129327 | 126563 |  |  |  | 2001-04-01 00:00:00 | 17652369 | 17743987 |  | 4.62
8 | 286158 | 281186 | 22743 | 22671 | 38426 | 40918 | 111115 | 111192 |  |  |  | 2001-05-01 00:00:00 | 16124989 | 16282021 |  | 3.44
9 | 302691 | 299195 | 19977 | 22175 | 40192 | 40918 | 124988 | 121550 |  |  |  | 2001-06-01 00:00:00 | 15928675 | 15936227 |  | 2.58
10 | 294278 | 299195 | 22860 | 22094 | 42910 | 40918 | 128025 | 125624 |  |  |  | 2001-07-01 00:00:00 | 16669639 | 16693576 |  | 2.45
11 |  |  |  |  |  |  |  |  |  |  |  | 2001-08-01 00:00:00 | 17850737 | 17815859 |  | 2.61
12 |  |  |  |  |  |  |  |  |  |  |  | 2001-09-01 00:00:00 | 16552948 | 16508018 |  | 1.73
13 |  |  |  |  |  |  |  |  |  |  |  | 2001-10-01 00:00:00 | 17924814 | 17872479 |  | 2.06
14 |  |  |  |  |  |  |  |  |  |  |  | 2001-11-01 00:00:00 |  |  |  | 1.98
15 |  |  |  |  |  |  |  |  |  |  |  | 2001-12-04 00:00:00
16
17
18
19 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1.98
20 |  |  |  |  |  |  |  |  |  |  |  |  | 1378106 | 1316146
21 |  |  |  |  |  |  |  |  |  |  |  |  | 9216070 | 9272400
22 |  |  |  |  |  |  |  |  |  |  |  |  | 3546065 | 3512740
23 |  |  |  |  |  |  |  |  |  |  |  |  | 1623705 | 1620245
24
25
26
27
28
29
30
31
2002-01-31 00:00:00
2002-02-10 00:00:00
CBS Dollars
 |  |  | 300359.04
 |  |  | -250735.54
 |  |  | 44931.54
 |  |  | 2153062.32
 |  |  | 0.0238
 |  |  | 0.0153
 |  |  | 2444.99
 |  |  | 250
Spreadsheet: 28ddbb2c-0c90-4c4e-92f3-4d1f62f4f30f
Sheet: Sheet1

DAFTAR PESERTA PLPG RAYON 112 UNIVERSITAS NEGERI SEMARANG | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4
TAHAP XIII GUGUS GRAHA WIYATA PATEMON
[NAME] Tanggal 27 Oktober s/d 5 Nopember 2011
Kelas | : IPA
No | No peserta | Nama | Sekolah | [NAME]
1 | 11032509710667 | ADY SUSILO ARIWIBOWO | SMP N 3 BANDAR | Kab. [NAME]
2 | 11032509710614 | AKHMAD MUTOHAR | SMP N 5 BATANG | Kab. [NAME]
3 | 11032509710682 | BINTARI RETNA KUMALA | SMP N 7 BATANG | Kab. [NAME]
4 | 11032509710701 | DURIKAH | SMP N 1 REBAN | Kab. [NAME]
5 | 11032509710689 | ENI SADARINA | SMP ISLAM BATANG | Kab. [NAME]
6 | 11032509710683 | GHONIYAH | SMP N 6 BATANG | Kab. [NAME]
7 | 11032509710661 | ISWATI | SMP N 1 PECALUNGAN | Kab. [NAME]
8 | 11032509710692 | KADIM | SMP N 8 BATANG | Kab. [NAME]
9 | 11032509710600 | MAHMUDI | SMP N 1 BANDAR | Kab. [NAME]
10 | 11032509710635 | MOH. HANAFIAH PRADANI | SMP N 3 TERSONO | Kab. [NAME]
11 | 11032509710677 | MOKH JUANDA | SMP N 3 REBAN | Kab. [NAME]
12 | 11032509710608 | ROCHI CHAYATUN | SMP N 1 GRINGSING | Kab. [NAME]
13 | 11032509710615 | SRI RINANINGSIH | SMP N 6 BATANG | Kab. [NAME]
14 | 11032509710654 | TRI RISWAKHYUNINGSIH | SMP N 2 SUBAH | Kab. [NAME]
15 | 11032509710690 | YUDI SURYANTO | SMP N 3 GRINGSING | Kab. [NAME]
16 | 10032809710499 | SUTOYO | SMP N 1 WARUREJA | Kab. Tegal
17 | 10032809710597 | MOCH. BACHRO | SMP BP MARGASARI | Kab. Tegal
18 | 10032809710629 | NUR FITRIAH | SMP AL MI'RAJ | Kab. Tegal
19 | 11036318711619 | LILIS LISTYOWATI | SMK N 6 SEMARANG | [NAME]
20 | 11036318711620 | SUNAJI | SMK N 6 SEMARANG | [NAME]
21 | 11036309710989 | SOIMATUSSA DIYAH | SMP N 13 | [NAME]
22 |  | [NAME] | MTs Darul Ulum Suruh | Kab. Semarang
23 |  | SRI PUJI SULISTYOWATI | IPA | Kab. Pemalang
Spreadsheet: 89236d1288981259-extracting-data-from-master-file-to-multiple-single-country-files-without-using-vba-example_indivtemplate
Sheet: Sheet1

country code | 512
country
variable | database | series no |  | 1990 | 1991 | 1992 | 1993
 |  |  |  | 312 | 345 | 421 | 456
 |  |  |  | 34 | 43 | 34 | 36
[NAME] |  |  |  | 1990 | 1991 | 1992 | 1993
Scenario
 |  | variable |  | 1990 | 1991 | 1992 | 1993
 |  | baseline
 |  | alternative
 |  | alternative 2
Spreadsheet: 673519d1587419483-data-export-to-condensed-list-form-inventory-example-sheet-2
Sheet: Sheet1

Order | Company | Product | Amount
123 | South Park Corp | Oranges | 5 |  |  | Click on Data-->Queries and Connections to see the Query
321 | Nickelodeon | Oranges | 4 |  |  | Put your cursor on the query and right click to Edit
321 | Nickelodeon | Peaches | 3
321 | Nickelodeon | Apples | 3
Spreadsheet: 867518d1714384882-need-attendace-sheet-for-saleman-visited-diffrent-regions-with-different-items-book4
Sheet: Sheet1

 |  | Salesman | Items | Region
 |  | Salesman101 | Item-1 | REG-1
 |  | Salesman101 | Item-2 | REG-3
 |  | Salesman101 | Item-3 | REG-3
 |  | Salesman101 | Item-4 | [NAME]
 |  | Salesman111 | Item-1 | REG-3
 |  | Salesman111 | Item-2 | REG-1
 |  | Salesman111 | Item-3 | REG-3
 |  | Salesman111 | Item-4 | REG-3
 |  | Salesman111 | Item-5 | [NAME]
 |  | Salesman111 | Item-6 | REG-3
 |  | Salesman111 | Item-7 | REG-5
 |  | REG-1 | [NAME] | REG-3 | REG-4 | REG-5 | [NAME] | REG-7 | REG-8 | REG-9 | REG-10 | REG-11
Salesman101 | Item-1 | P
Salesman101 | Item-2 |  |  | P
Salesman101 | Item-3 |  |  | P
Salesman101 | Item-4
Salesman111 | Item-1
Salesman111 | Item-2
Salesman111 | Item-3
Salesman111 | Item-4
Salesman111 | Item-5
Salesman111 | Item-6
Salesman111 | Item-7
Spreadsheet: 729110d1618916124-how-to-deal-with-empty-cells-errors-norealnames
Sheet: Teachers

KLASSE | VORNAME_L | ZUNAME_L | EMAIL_L | Teams-Email | Password | Position | Syntax
1A | [NAME] | Teacher-A | 0 | [EMAIL] | Qvxf6513 | Lehrer*in | True
1B | Toren | Teacher-B | 0 | [EMAIL] | Lhuh8548 | Lehrer*in | True
1C | [NAME] | Teacher-C | 0 | [EMAIL] | Wvze2582 | Lehrer*in | True
Spreadsheet: 804930d1668437357-specify-a-variable-table-s666-pq-specify-a-variable-table
Sheet: Connector Table

Connector | Cavity |  |  | Connector | Cavity
CONN1 | 1 |  |  | CONN1 | 1
CONN1 | 2 |  |  | CONN1 | 2
CONN1 | 3 |  |  | CONN1 | 3
CONN1 | 4 |  |  | CONN1 | 4
CONN2 | 1 |  |  | CONN2 | 1
CONN2 | 2 |  |  | CONN2 | 2
SP001 | R |  |  | SP2001 | L
SP001 | L |  |  | SP2001 | R
SP001 | X |  |  | SP2001 | X
Spreadsheet: 185291d1349628371-how-to-filter-the-names-from-a-list-of-names-without-duplicates-daily-status-report
Sheet: Errors

 |  | Processor Name | No of Files Submitted | Total Pass | No of files with Errors | Black | Red
 | 1 | {=IFERROR(INDEX(Processor, MATCH(0, COUNTIF($C1$1:$C1,Processor), 0)),"")} | 0 | 0 | 0 | 0 | 0
 | 2
 | 3
 | 4
 | 5
 | 6
 | 7
 | 8
 | 9
 | 10
Spreadsheet: 0b3493cb-3892-4b0e-82d3-24a4d72082b0
Sheet: Sheet1

Test Referenced | Entry Type | Mayo ID | Description | Reporting Description | Method | Collection Container | Temperature | Stability | [NAME] | Unit of Measure | [NAME] | Minimum Volume | Reject Due To | Reference Values | Days/Times Performed | Analytic Time | Maximum Lab Time | CPT Units | CPT Code | LOINC® Code | LOINC® Attributes | Always Performed | Orderable Separately | Performing Location
MBL | Test | MBL | Mannose-Binding Lectin, Serum | Mannose-Binding Lectin, S | Enzyme-Linked Immunosorbent Assay (ELISA) | Serum Gel Tube: SGT |  |  | 0.5 | mL | Specimen Required Collection Container/Tube:  Preferred: Red top Acceptable: Serum gel Submission Container/Tube: Plastic vial [NAME]: 0.5 mL Collection Instructions:  1. Immediately after specimen draw, place tube on wet ice. 2. Spin down and separate serum from clot. 3. Freeze specimen immediately. Forms: If not ordering electronically, submit a General Request Form (Supply T239) with the specimen. | 0.4 mL | Hemolysis	Mild reject; Gross reject Thawing	Warm reject; Cold reject Lipemia	Mild OK; Gross reject Icterus	Mild OK; [NAME] OK Other	NA | > or =7.8 ng/mL This reference range applies only to adults. See Cautions for further information regarding the reference range and clinical interpretation. | Tuesday; 9 a.m. | 1 day | 8 days | 1 | 83520 |  |  |  |  | Rochester
MBL | [NAME] | SERUM | Serum |  |  |  | Frozen | 7 days
MBL | Result | MANBL | Mannose-Binding Lectin, S | Mannose-Binding Lectin, S | Numeric |  |  |  |  | ng/mL |  |  |  |  |  |  |  |  |  | 30152-3 | Mannose-binding protein:MCnc:Pt:Ser:Qn:
Spreadsheet: 06a9f3ff-e7e9-4c3e-b122-167bd1774e30
Sheet: Report

1.2 | = [NAME] number (Enter 1.2 for Minneapolis)
FINS WITH APPROVED BUDGETS THAT HAVE NO SPENDING |  | FINs with Approved budgets that have no spending
 |  | 2010-01-04 00:00:00
 | Total
 |  |  |  | 1
Spreadsheet: 216176d1361628424-too-many-ifs-combining-few-formulas-into-one-need-help-calculation-hr
Sheet: Sheet1

2013-01-03 00:00:00 | 2013-03-22 00:00:00
entry | termination
 | ENTRY | TERMINATION | TERMINATION | ENTRY | last one
 |  |  |  |  |  |  | first day in month (based on today()
 |  |  |  |  |  |  | last day in month (based on today()
 |  |  |  |  |  |  | number of days in a month using calculation
 |  |  |  |  |  |  | number of days in a month using formula
Spreadsheet: 64968d1265752389-excel-2007-how-to-copy-formula-without-warning-popup-copy-of-mrexcel-example
Sheet: Sheet1

t_FEE | TRANS CNT |  |  | Fees
t_1DQ | 0 |  |  | 0
t_1XR | 0 |  |  | 0
t_1XW | 0 |  |  | 0
t_2FH | 0 |  |  | 0
t_3DL | 0 |  |  | 0
t_3FP | 0 |  |  | 0
t_3MV | 0 |  |  | 0
t_1CE | 0 |  |  | 0
t_1PA | 0 |  |  | 0
t_1PC | 0 |  |  | 0
t_1PR | 0 |  |  | 0
t_CSC | 0 |  |  | 0
t_APT | 3895 |  |  | 0
t_LX | 87237 |  |  | 0
t_OST | 0 |  |  | 664
t_RST | 52 |  |  | 0
[NAME] | 111083 |  |  | 0
t_1XO | 0 |  |  | 0
t_1XP | 0 |  |  | 198372
t_8MG | 0 |  |  | 0
t_9PS | 0
t_CKP | 327 |  |  | 0
t_DLF | 10 |  |  | 0
t_MVL | 327
Spreadsheet: 145020d1331260554-lookup-function-help-ozitech_08mar12_01
Sheet: main

 | Type name and hit enter
 |  |  |  |  | Name | con 1 | con2 | con3 |  |  |  | Name | con 1 | con2 | con3
 | AGWW |  |  |  | AGWWLC1 | True
 |  |  |  |  | AGWWLC2
 |  |  |  |  | AGWWLC3
 |  |  |  |  | AGWWMC1
 |  |  |  |  | AGWWMC2 | True
 |  |  |  |  | AGWWMC3 | True
 |  |  |  |  | AGWWNC1 | True
 |  |  |  |  | AGWWQC2 | True
 |  |  |  |  | [NAME] | True
 |  |  |  |  | AGWWPC1
 |  |  |  |  | AGWWQC3
 |  |  |  |  | AGWWNC2
 |  |  |  |  | AGWWQC1
 |  |  |  |  | AGWWPC2 |  | True | True
 |  |  |  |  | AGWWPC3
Spreadsheet: 834066d1687426111-want-to-use-sumproduct-large-formula-with-criteria-to-calculate-total-of-best-five-marks-test-file
Sheet: HS (XII)

Sl. No. | Regd. No. | Name | Father's Name | AY | Class | Sec. | Roll | Gender | Caste | DOB | HS Yr. | Roll. No. | Status | Marks Obtained in Subjects |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Total | % | Overall Grade | Result
 |  |  |  |  |  |  |  |  |  |  |  |  |  | S1 | [NAME]. | Prac. | Total | Subject Grade | S2 | [NAME]. | Prac. | Total | Subject Grade | S3 | [NAME]. | Prac. | Total | Subject Grade | [NAME] | [NAME]. | Prac. | Total | Subject Grade | S5 | [NAME]. | Prac. | Total | Subject Grade | S6 | [NAME]. | Prac. | Total | Subject Grade
61 | 1211191131 | RAHUL BAIDYA | RAJEEV BAIDYA | 2022 | XII | A | 18 | B | SC | 2005-03-13 00:00:00 | 2023 | [PHONE] | AP | BNGA | 30 | 20 |  |  | ENGB | 24 | 20 |  |  | ENVS | 24 | 20 |  |  | [NAME] | 22 | 16 |  |  | PHIL | 43 | 20 |  |  | EDCN | 19 | 20
The condition is that there are 6 subjects namely BNGA, ENGB, ENVS, [NAME], PHIL, & EDCN.  A student fails when he gets 'F' or 'N.A.' grade in 2 or more subjects. In cell AS2 we have to calculate total marks obtained by him in best 5 subjects.  If he gets 'F' or 'N.A.' in any subject, that subject should not be considered in calculating best 5. Please suggest me a formula in cell AS2.
Spreadsheet: 65884d1266516333-how-to-filter-only-new-data-entries-data-entered-
Sheet: Sheet1

VESSEL ID# |  | Fisherman Name | [NAME] | Scallops | Fish | 2010-02-10 00:00:00
CG HULL # | ME#
**** | **** | [NAME]
**** | **** | [NAME] | 33
**** | **** | [NAME] |  | 22
**** | **** | Lavon S
**** | **** | Mark |  |  | 11
**** | **** | [NAME]
**** | **** | Wayne
**** | **** | Timothy
**** | **** | [NAME]
**** | **** | [NAME]
**** | **** | [NAME]