tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 113329d1309270797-utilization-utilization
Sheet: Data

pen | 2
phone | 4
web | 23
moto | 43
red | 22
pen | 45
phone | 31
web | 34
moto | 5
red | 2
pen | 3454
phone | 64
web | 21
moto | 345
red | 1234
red | 245
pen | 134
red | 235
pen | 21
web | 33445
moto | 213
web | 24
moto | 24
Spreadsheet: 858761d1707325574-calculating-hours-and-hours-used-chronologically-using-oldest-hours-first-overtime-and-bestemming-uren-nl05369-
Sheet: employee

Year/Month | Overtime Hours | Used Hours | Total Compensation Hours Unused | NL05369
2021-12 |  |  |  |  | Hours | Used in | Hrs left |  | Hours | Used in | Hrs left
2022-01 | 1.25 | 0
2022-02 | 0 | 0
2022-03 | 0 | 0
2022-04 | 0 | 0
2022-05 | 8 | 0
2022-06 | 8 | 0
2022-07 | 0 | 0
2022-08 | 0 | 0
2022-09 | 0 | 0
2022-10 | 2.25 | 0
2022-11 | 23.40000000000001 | 0
2022-12 | 16.90000000000001 | 0
2023-01 | 15.25 | 5
2023-02 | 21.15000000000001 | 0
2023-03 | 18 | 0
2023-04 | 34.5 | 8
2023-05 | 38 | 40
2023-06 | 43.5 | 0
2023-07 | 27 | 0
2023-08 | 16.75 | 24
2023-09 | 38 | 0
2023-10 | 46 | 0
2023-11 | 40 | 0
2023-12 | 30 | 0
TOTALS | 426.7 | 85
Spreadsheet: hunter_shively__12724__Fundamentals_Netco
Sheet: East Power Trading

 | East Power Trading
 | 2002 Plan
 |  |  |  |  |  |  |  |  |  | Per HC | New HC | Adjust Comp
 |  | 2001-09-01 00:00:00 |  | 2001 | 2002 |  | % |  |  |  |  |  |  | 2002
 |  | YTD Actual |  | Forecast | Plan |  | of Total |  |  |  |  |  |  | Plan
ENACOMP | Compensation |  |  |  |  |  |  |  | Compensation | 0
 | Special Pays
 | Analysts & Associates
ENABENTX | Benefits & Payroll Taxes |  |  |  |  |  |  |  | Other
ENAEMPEX | Employee Expense
ENAT&EEX | Travel & Entertainment Expense |  |  |  |  |  |  |  | Total
ENAOUTSV | Outside Services
ENASUPP | Supplies Expense
ENAMKTEX | Marketing |  |  |  |  |  |  |  | [NAME] | 33600 | 2
ENACONTR | Charitable Contributions |  |  |  |  |  |  |  | [NAME] | 52800 | 0
ENARENT | Rent |  |  |  |  |  |  |  | Staff | 54000
ENATECH | Technology |  |  |  |  |  |  |  | Specialist | 63000 | 0
ENATRANS | Transportation |  |  |  |  |  |  |  | Sr. Specialist | 78000
ENAOTHEX | Other Expenses |  |  |  |  |  |  |  | Analyst | 66000 | 0
ENATAXES | Taxes Other than Income |  |  |  |  |  |  |  | Associate | 97200 | 0
ENATOTDR | Total Direct Expenses |  |  |  |  |  |  |  | Manager | 120000
 |  |  |  |  |  |  |  |  | Director | 156000
 | Headcount |  |  |  |  |  |  |  | Sr. Director | 180000
 |  |  |  |  |  |  |  |  | VP | 216000
 | Analyst & Associate Headcount |  |  |  |  |  |  |  | MD | 240000
 | Total Headcount |  |  |  |  |  |  |  |  |  |  |  |  | 1
 |  |  |  |  |  |  |  | Other Expense Calculation
 | Outside Services | 524067
 |  |  |  |  |  |  |  | Total Misc Exp | Old HC | Exp/Old HC | New HC | Exp/New HC
Spreadsheet: 287034d1388588518-using-drop-downs-to-act-as-switches-switches
Sheet: Switch Model

OP | FE P | OP | £
FE P |  | £
NW |  | MP
 |  | S | R | Y1 | Y2 | Y3 | Y4 | Y5
 |  | A | 1
 |  | B | 2
 |  | C | 2
 |  | A | 3
 |  | B | 4
 |  | C | 6
Spreadsheet: 884602d1733834982-report-number-of-instances-in-another-sheet-based-on-variable-conditions-tool-order-tracking-development
Sheet: User11

Main | Tool Type | Description | Price | Received | Tool Type | Description | Price | Received | Tool Type | Description | Price | Received | Tool Type | Description | Price | Received | Tool Type | Description | Price | Received | Tool Type | Description | Price | Received | Tool Type | Description | Price | Received
Order Date | 2024-11-19 00:00:00
 | Socket Set | 1/4" Wera set | 85.56
Total
Spreadsheet: f7f3a59f-d5ab-4c40-b477-5c8f2bf56f56
Sheet: Sheet1

PROG ID | ATHLETE ID | ATHLETE FIRST | ATHLETE LAST | NATIONALITY | START NUMBER | RUN | T1 | BIKE | T2 | RUN.1 | POSITION | TOTAL TIME
5120 | 33023 | Thiago | [NAME] | BRA | 0 | 00:31:31 | 00:00:00 | 01:07:15 | 00:00:00 | 00:15:50 | 1 | 01:54:39
5120 | 34950 | [NAME] | Loaiza | COL | 0 | [NAME] | 00:00:00 | 01:07:05 | 00:00:00 | 00:16:20 | 2 | 01:55:19
5120 | 34361 | [NAME] | [NAME] | BRA | 0 | 00:34:35 | 00:00:00 | 01:05:22 | 00:00:00 | 00:17:46 | 3 | [NAME]
5120 | 34951 | Giovanny | [NAME] | COL | 0 | 00:36:32 | 00:00:00 | 01:08:43 | 00:00:00 | 00:21:45 | 4 | 02:07:01
5120 | 34948 | [NAME] | Castilla | COL | 0 | 00:39:14 | 00:00:00 | 01:07:22 | 00:00:00 | 00:23:33 | 5 | 02:10:09
5120 | 34949 | Andres | [NAME] | COL | 0 | 00:41:25 | 00:00:00 | 01:13:37 | 00:00:00 | 00:23:49 | 6 | 02:18:52
Spreadsheet: 005b6801-8580-4d96-b866-5fd00c9c0c81
Sheet: 16a

Product |  | TOTAL
Single - Name* | Corporate
 | Loans
 | Municipal
 | Recovery
 | Sovereign
Index Tranche | Asia
 | Europe
 | North America
Index | Asia
 | Europe
 | North America
TOTAL |  | N/A**
Estimated swap dollar volumes, week ending November 9, by product type (total value of trades in millions of USD), all participant types, tenors and currencies. Data are adjusted for double-counting of cleared trades to show a single exposure for each trade. This table will be expanded to reflect participant type and cleared status as more complete data becomes available.
Total(s) may be less than total shown for this asset class in the All Swaps reports and/or other CFTC Swaps Report tables if products were excluded from this table that (a) presented disclosure risk or (b) did not belong in the categories shown.
*See Data Dictionary for product descriptions.
**N/A indicates that data are not currently available.
The Commission requests feedback on the format and content of this CFTC Swaps Report table. Submit comments to [EMAIL].
Spreadsheet: 830390d1684875436-sum-and-count-values-with-criteria-sum-and-count-values-with-criteria
Sheet: Sheet1

Salespeople |  | Salesperson | Sales | Month |  | Problem #1
[NAME] |  | Regan | 49 | May |  |  | [NAME] | $ Total Sales
[NAME] |  | [NAME] | 25 | February |  |  |  |  |  |  | [NAME] | $ Total Sales
Mark |  | Molly | 83 | March |  |  |  |  |  |  | [NAME] | 326
Regan |  | [NAME] | 39 | May |  |  |  |  |  |  | [NAME] | 170
[NAME] |  | [NAME] | 74 | April |  |  |  |  |  |  | [NAME] | 164
Shaun |  | [NAME] | 78 | June
Molly |  | [NAME] | 80 | July
[NAME] |  | Heather | 23 | August |  | Problem #2 |  |  |  |  | Month | May
Heather |  | [NAME] | 43 | September |  |  | [NAME] | $ Sales in MAY
[NAME] |  | [NAME] | 64 | October |  |  |  |  |  |  | [NAME] | $ Sales in MAY
[NAME] |  | Mark | 91 | November |  |  |  |  |  |  | [NAME] | 170
Lauren |  | Lauren | 86 | December |  |  |  |  |  |  | Regan | 49
[NAME] |  | [NAME] | 90 | January |  |  |  |  |  |  | [NAME] | 2
 |  | [NAME] | 2 | May
 |  | [NAME] | 36 | March
 |  | Shaun | 69 | April |  | Problem #3
 |  | [NAME] | 84 | May |  |  | [NAME] | Number of Sales in MAY |  |  | Month | May
 |  | [NAME] | 47 | May
 |  |  |  |  |  |  |  |  |  |  | [NAME] | Number of Sales in MAY
 |  |  |  |  |  |  |  |  |  |  | [NAME] | 3
 |  |  |  |  |  |  |  |  |  |  | Regan | 1
 |  |  |  |  |  |  |  |  |  |  | [NAME] | 1
Spreadsheet: 06b47c9d-9e0a-4f4d-97e6-a382449473a3
Sheet: DIV TOTALS

PROGRAM LEVEL | # | SLOs | # | ASSESSMENT METHOD DEFINED | # | ASSESSED  COURSE | # | DISCUSSION/ IMPROVEMENT | #
A.A. Degree English | 1
TOTAL | 1
PERCENTAGE
COURSE LEVEL | # | SLOs |  | ASSESSMENT METHOD DEFINED |  | ASSESSED  COURSE |  | DISCUSSION/ IMPROVEMENT
ENGL | 31 | 31 |  | 31 |  | 15 |  | 14
READ | 4 | 4 |  | 4 |  | 4 |  | 4
MATH | 26 | 25 |  | 18 |  | 19 |  | 17
LRC | 2
LIBR | 2 | 2 |  | 2 |  | 1 |  | 1
CHC | 5 | 4 |  | 2 |  | 1 |  | 1
PCD | 2 | 2 |  | 1 |  | 1
TOTAL
PERCENTAGE
Spreadsheet: 64743d1265581977-excel-2007-row-numbering-with-blank-cells-ignored-book3
Sheet: Sheet1

 | Unit
1 | A
 | B
 | C
 | D
 | E
 | F
 | G
 | H
Spreadsheet: 688044d1595538681-function-to-search-3-exact-variables-from-3-columns-in-a-matrix-test
Sheet: Blad1

 |  |  |  |  |  | 1 | 1 | 1 | A
 |  |  |  |  |  | 1 | 1 | 2 | B
 |  |  |  |  |  | 1 | 2 | 1 | C
 |  |  |  |  |  | 1 | 2 | 2 | D
 |  |  |  |  |  | 2 | 1 | 1 | E
 |  |  |  |  |  | 2 | 1 | 2 | F
 |  |  |  |  |  | 2 | 2 | 1 | G
 |  |  |  |  |  | 2 | 2 | 2 | H
Spreadsheet: 105909d1303178834-separating-physical-from-mailing-address-addresschange
Sheet: Sheet1

Combined | physical address | mailing address
739 S OATES ST
1911 CAULEY AVE
3630 TROUSDALE SUITE H
20 COVENANT DR.
111 BLACKBERRY LN
1201 E THREE NOTCH ST
44 WESTVIEW DR
2323 W MAIN ST SUITE 200
PO BOX 1116
101 WINDOVER WAY
PO BOX 521
PO BOX 311979
400 NORTH EDWARDS ST
PO BOX 2768
103 SWEETWATER DR
611 HWY 134 EAST
4315 GALILEE RD
2350 3RD AVE
182 COUNTY RD 44
10670 CO RD 97
100 PEMCO DR.
202 OLEANDER DR
5425 HEADLAND AVE
Spreadsheet: 676683d1588935336-conditional-formatting-does-not-work-conditional-formatting-query_revised
Sheet: Product 1

Search Terms (shortlist at least 3-5 keyword phrases) | Number of Results 1-499 Green 500-1000 Amber >1000 Red
uvc toothbrush holder | 475
uv toothbrush and razor sanitizer | 109
Uv toothbrush sterilizer | 1000
antibacterial uv toothbrush holder and sterilizer | 281
toothbrush cleaner | 2000
toothbrush uv holder | 438
toothbrush holder family | 1000
uv toothbrush dock | 138
toothbrush countertop holder | 1000
toothbrush holder wall mounted | 821
toothbrush holder dustproof | 3000
toothbrush cover top dustproof | 203
toothbrush sanitizer | 463
toothbrush dock | 319
toothbrush cover sanitizer | 587
toothbrush holder fully covered | 29
uv oral care family | 323
uv oral care kids | 123
ultraviolet for disinfection | 3000
[NAME] | 37
germicidal lamp ozone free | 472
easy to install toothbrush holder | 1000
ilife tech toothbrush holder | 141
[NAME] timer | 193
organizador sepillos | 348
organizador pasta dental | 365
asesorios [NAME] | 440
toothpaste despender kids | 148
[NAME] dientes | 148
[NAME] cepillo dientes | 74
dentaluv sterilizer station | 7
distribuidor automatico dientes | 230
[NAME] dental | 229
cepillo dientes para ninos | 286
protector [NAME] dientes | 464
soporte cepillo dental | 473
dispenser pasta dientes | 608
dispensador crema dental | 412
[NAME] dientes | 240
toothbrush disenfectant | 399
soporte [NAME] dientes | 414
dispensador [NAME] dientes | 394
dispensador pasta diente | 493
[NAME] dientes | 455
[NAME] dientes | 136
esterilizador cepillos dientes | 280
animal sucker toothbrush holder | 388
egg toothbrush holder | 177
[NAME] | 506
zelda toothbrush holder | 186
morrocan toothbrush holder | 194
toothbrush holder grass | 326
base [NAME] | 301
[NAME] | 2
dispensador [NAME] dientes | 455
[NAME] | 53
[NAME] dentales | 139
sanitize makeup | 598
multiple toothbrush holder classroom | 139
cosas [NAME] | 148
violet light kill virus | 148
health sanitizer | 5000
zero germ uv light toothbrush | 87
uv light virus killing | 251
[NAME] squeezer | 864
soporte [NAME] | 135
[NAME] adults | 401
dispensador [NAME] | 471
[NAME] | 604
Spreadsheet: 846565d1697721458-linest-help-consolidation-parameters
Sheet: Work Energy (GB-04)

Work Energy Method
Boring: | [NAME]
[NAME] | Pressure (ksf) | Final Dial (in) | Height (in) | ΔW (ksf)
1 | 0 | 0 | 1
2 | 0.125 | 0.0009629 | 1
3 | 0.25 | 0.001672 | 1
4 | 0.5 | 0.003429 | 1
5 | 1 | 0.004122 | 1
6 | 2 | 0.008401 | 1
7 | 4 | 0.0219 | 1
8 | 8 | 0.06547 | 1
9 | 16 | 0.1497 | 1
10 | 32 | 0.2202 | 1
Unloading | 0.125 |  | 1
 | 0.5 |  | 1
 | 2 |  | 1
 | 8 |  | 1
 | 32 |  | 1
Representative Pc Curve
 | [NAME] | [NAME]
Pressure (ksf) | 0.125 | 4
ΔW (ksf)
 |  |  |  | m | b
 |  |  | Cs |  | -0.006208683582089555
 |  |  | Cc |  | -0.8916652375000007
 |  |  | Pc
 |  | linest(text(CELL("address",INDEX($A$8:$E$17,MATCH(B29,$E$8:$E$17, 0),5)),"0"):text(CELL("address",INDEX($A$8:$E$17,MATCH(C29,$E$8:$E$17, 0),5)),"0"),text(CELL("address",INDEX($A$8:$E$17,MATCH(B28,$B$8:$B$17, 0),2)),"0"):text(CELL("address",INDEX($A$8:$E$17,MATCH(C28,$B$8:$B$17, 0),2)),"0"),true,false)
 |  | linest(CELL("address",INDEX($A$8:$E$17,MATCH(B29,$E$8:$E$17, 0),5)):CELL("address",INDEX($A$8:$E$17,MATCH(C29,$E$8:$E$17, 0),5)),CELL("address",INDEX($A$8:$E$17,MATCH(B28,$B$8:$B$17, 0),2)):CELL("address",INDEX($A$8:$E$17,MATCH(C28,$B$8:$B$17, 0),2)),true,false)
Spreadsheet: 823838d1680165485-connecting-formulas-to-option-buttons-runway-30-3-2022
Sheet: Sheet1

 |  | Working Capital
 | Dues and Subscriptions | Working Capital
 | Bank charges | Working Capital
 | Computers & mobiles/Tablets | Fixed Assets
 | Funirute / Jordan Office | Fixed Assets
 | consultation ( NASENI) | Business Development
 | Office Supplies | Working Capital
 | Rent | Working Capital
 | Training | Working Capital
 | Telecommunications-ِManagement | Working Capital
 | Transportation-Management & Marketing | Working Capital
 | Devops - Slachtech | Product Development
 | Travel | Business Development
 | Sales & Marketing Expenses | Business Development
 | Web Hosting and [NAME] | Product Development
 | BlockChain Development & Support Hrs | Product Development
Spreadsheet: eric_saibi__9708__010402R
Sheet: Powerton 05

Owner Name |  | Midwest Generation LLC
Station Name |  | Powerton Power Station
Unit Name |  | [NAME] 05
NERC Region |  | MAIN
State |  | IL
Fuel Type |  | Coal
Capacity |  | 893 MW
Start Date |  | 2002-01-18 00:00:00
End Date |  | 2002-03-14 00:00:00
Prv. Start Date |  | 2002-01-05 00:00:00
Prv. End Date |  | 2002-03-01 00:00:00
Comments |  | Major [NAME]
SIC |  | 4931
Plant ID |  | 1013200
Unit ID |  | 1006933
Outage ID |  | 11835
Spreadsheet: 871213d1717602038-splitting-columns-into-multiple-2098-cctest
Sheet: RAW DATA

Cost Centre | Spend
CC00001 | 351.6330551724935 |  |  |  |  |  | 1
CC00002 | 338.8240091561938
CC00003 | 511.5400532931842
CC00004 | 563.4368337442885
CC00005 | 875.4404104222041
CC00006 | 162.3569322943727
CC00007 | 473.6586284296897
CC00008 | 877.5081226970758
CC00009 | 248.2480855511901
[NAME] | 646.3584489243781
CC00011 | 38.84884506782982
CC00012 | 388.2859613148622
CC00013 | 85.76602739541516
CC00014 | 357.9898044424949
CC00015 | 217.0372417865775
CC00016 | 88.39175395212573
CC00017 | 318.1832192025526
CC00018 | 164.4153613104753
CC00019 | 593.4487684988869
CC00020 | 589.1382842763711
CC00021 | 46.85530199572518
CC00022 | 418.8680690238032
CC00023 | 239.1356690400853
CC00024 | 255.5475974658952
CC00025 | 258.071191177982
CC00026 | 288.4694816935164
CC00027 | 827.1548716495572
CC00028 | 143.4623971702464
CC00029 | 115.2570072526528
CC00030 | 684.3929124756339
CC00031 | 455.8555308430435
CC00032 | 410.2513307836579
CC00033 | 259.5526031948548
CC00034 | 461.2044048864697
CC00035 | 976.1679937524557
CC00036 | 639.2694957925042
CC00037 | 291.7213748804601
CC00038 | 751.4143508352375
CC00039 | 565.5921530777587
CC00040 | 669.2514258060361
CC00041 | 46.26206668669586
CC00042 | 52.9364930423849
CC00043 | 554.2176991189871
CC00044 | 644.4341767562587
CC00045 | 860.7579235053546
CC00046 | 432.9572768760344
CC00047 | 890.7976810517824
CC00048 | 251.039386870056
CC00049 | 799.4090354739611
CC00050 | 353.6072928072285
CC00051 | 632.2541338446946
CC00052 | 758.322604313713
CC00053 | 3.376122582477992
CC00054 | 496.3788500333491
CC00055 | 916.4276149858362
CC00056 | 777.1802175558345
CC00057 | 109.0960851064968
CC00058 | 805.8108457986107
CC00059 | 618.724156595313
CC00060 | 776.6508764014882
CC00061 | 692.7493923701421
CC00062 | 515.9761861979065
CC00063 | 332.5640541353394
CC00064 | 129.0512103178758
CC00065 | 737.5604133467737
CC00066 | 724.0836627607515
CC00067 | 343.7865228948843
CC00068 | 829.5265275617966
CC00069 | 670.6267718098477
CC00070 | 463.9957880157235
CC00071 | 212.0786591584478
CC00072 | 346.2946220287966
CC00073 | 850.4067389921963
CC00074 | 333.3755627276983
CC00075 | 848.5071096858441
CC00076 | 709.5304329130162
CC00077 | 861.0135634117825
CC00078 | 569.1974876388427
CC00079 | 317.9267682392655
CC00080 | 212.1018912432401
Spreadsheet: 864605d1711706083-3-consecutive-vowels-categorise-3-cons-vowels-pull-1-
Sheet: Sheet1

ARCHAEA | AEA
ALTHAEA | AEA
TAIAHAS | AIA
MANAIAS | AIA
WAIATAS | AIA
COBAEAS
BANDEAU
[NAME]
TABLEAU
BAUERAS
BATTEAU
BATEAUX
FABLIAU
CARDIAE
CADEAUX
FASCIAE
ARCHAEI
CHAPEAU
CHATEAU
COAEVAL
CAEOMAS
COAITAS
AOUDADS
KAIAKED
NAIADES
LEGUAAN
MANGEAO
GATEAUS
GATEAUX
ANTLIAE
SPIRAEA
APNOEAL
PLATEAU
MANTEAU
APNOEAS
KAWAIIS
ANTIAIR
MANOAOS
TATOUAY
BERCEAU
[NAME]
BIVOUAC
TABOOED
[NAME]
SEEABLE
BEAUFET
SUEABLE
BEAUTER
BEAUFIN
WOOABLE
BUREAUS
BUREAUX
BAGUIOS
ACCOIED
CAMEOED
CODEIAS
FAIENCE
OCHREAE
CORNEAE
GOUACHE
PAIOCKE
APNOEIC
PAEONIC
SCORIAE
MORCEAU
PONCEAU
CASEOUS
COTEAUS
COTEAUX
CARIOUS
VACUOUS
DEAIRED
RADIOED
QUAERED
FADEOUT
GEOIDAL
LIAISED
MIAULED
QUAILED
MIAOWED
RADIOES
APPUIED
NAPOOED
RONDEAU
DOUANES
ZOOIDAL
ARDUOUS
HERNIAE
HEAUMES
LEQUEAR
MARQUEE
PERAEON
QUAERES
RESEAUS
RESEAUX
LINGUAE
GLUTAEI
GASEOUS
HAVEOUR
ATHEOUS
LIAISES
LOIASES
[NAME]
TAKEOUT
NOTAEUM
RAMEOUS
[NAME]
TONNEAU
ZOUAVES
FATUOUS
SAGOUIN
HAVIOUR
LIAISON
LOIASIS
TAUIWIS
ROOIKAT
PRONAOI
SANIOUS
ANXIOUS
PAVIOUR
SOUARIS
SAVIOUR
[NAME]
MONOAOS
BEDOUIN
GOBIOID
DUBIOUS
BOUILLI
BILIOUS
[NAME]
[NAME]
ROOIBOS
OBVIOUS
RUBIOUS
COOEYED
RESCUEE
ECHOIER
QUIESCE
[NAME]
MECHOUI
MEIOTIC
[NAME]
[NAME]
VICIOUS
[NAME]
CORIOUS
CURIOUS
NOCUOUS
VIDEOED
RODEOED
QUEENED
QUEERED
UNFEUED
REOILED
MIMEOED
ENNUIED
QUIETED
RONEOED
FOLIOED
QUOIFED
HIKOIED
HIDEOUS
HIDEOUT
TENIOID
QUOINED
OSTEOID
QUOITED
TEDIOUS
DEVIOUS
WIDEOUT
UNWOOED
[NAME]
SIMIOID
OPIOIDS
VIDUOUS
EPEEIST
QUEERER
SQUEEZE
FOUETTE
SEMEION
MEIOSES
REQUIEM
PEREION
QUIETEN
QUIETER
[NAME]
UNQUEEN
OEUVRES
[NAME]
IGNEOUS
ROGUIER
VOGUIER
MILIEUS
MILIEUX
MEIOSIS
INQUIET
ROOINEK
[NAME]
ROUILLE
PILEOUS
PURLIEU
LIQUEUR
TIMEOUS
TIMEOUT
ENVIOUS
NIVEOUS
UNQUIET
PITEOUS
WIPEOUT
QUOITER
SERIOUS
QUIETUS
LUTEOUS
TENUOUS
OSSEOUS
FOLIOUS
FURIOUS
NIMIOUS
IMPIOUS
SIMIOUS
INVIOUS
[NAME]
OSMIOUS
[NAME]
SINUOUS
Spreadsheet: 797420d1663866649-returning-nth-value-in-data-sheet-value-test-new
Sheet: Data

Helper | Document date | Document number | Qty | Amount
TESTABC | 2022-09-01 00:00:00 | 1638151111 | 1 | 111
TESTABC | 2022-09-02 00:00:00 | 1638152222 | 2 | 222
TESTABC | 2022-09-03 00:00:00 | 1638153333 | 3 | 333
Spreadsheet: 881725d1729863288-transpose-address-list-into-columns-testc
Sheet: Sheet1

Current |  |  |  |  |  |  |  | Goal
Name1 |  |  |  |  |  |  |  | Name1 | Address1 | Postcode1
Address1 |  |  |  |  |  |  |  | [NAME] | Address2 | Postcode2
Postcode1 |  |  |  |  |  |  |  | Name3 | Address3 | Postcode3
 |  |  |  |  |  |  |  | Name4 | Address4 | Postcode4
[NAME] |  |  |  |  |  |  |  | Name5 | Address5 | Postcode5
Address2 |  |  |  |  |  |  |  | Name6 | Address6 | Postcode6
Postcode2 |  |  |  |  |  |  |  | Name7 | Address7 | Postcode7
 |  |  |  |  |  |  |  | Name8 | Address8 | Postcode8
Name3 |  |  |  |  |  |  |  | Name9 | Address9 | Postcode9
Address3 |  |  |  |  |  |  |  | Name10 | Address10 | Postcode10
Postcode3
Name4
Address4
Postcode4
Name5
Address5
Postcode5
Name6
Address6
Postcode6
Name7
Address7
Postcode7
Name8
Address8
Postcode8
Name9
Address9
Postcode9
Name10
Address10
Postcode10
Spreadsheet: 100064d1298539047-3d-cell-referencing-help-bracknell-start
Sheet: Wokingham

 |  |  |  |  |  |  |  |  |  |  |  |  | commission | 0.005 |  | Wcommission
Wokingham |  |  |  |  |  |  |  |  |  |  |  |  | Australia sales | 70000 |  | WAussales
 |  |  |  |  |  |  |  |  |  |  |  |  | Australia bonus | 150 |  | WAusbonus
 |  | Europe | Australia | Asia | America | Africa | Agent total |  |  |  |  |  | Individual bonus | 100 |  | WIndbonus
 | Name#1
 | Name#2
 | [NAME]
 | Name#4
 | Name#5
 | Name#6
 | Name#7
 | Name#8
 | Name#9
 | Total for each region | 0 | 0 | 0 | 0 | 0 | 0
 |  | Commission |  |  | Australia Bonus |  |  | Individual Target | Individual Bonus |  | Agent total with bonuses + commission
 | Name#1 | 0 |  | Name#1 | 0 |  | Name#1 | 200000 | 0 |  | 0
 | Name#2 | 0 |  | Name#2 | 0 |  | Name#2 | 300000 | 0 |  | 0
 | [NAME] | 0 |  | [NAME] | 0 |  | [NAME] | 200000 | 0 |  | 0
 | Name#4 | 0 |  | Name#4 | 0 |  | Name#4 | 300000 | 0 |  | 0
 | Name#5 | 0 |  | Name#5 | 0 |  | Name#5 | 200000 | 0 |  | 0
 | Name#6 | 0 |  | Name#6 | 0 |  | Name#6 | 300000 | 0 |  | 0
 | Name#7 | 0 |  | Name#7 | 0 |  | Name#7 | 200000 | 0 |  | 0
 | Name#8 | 0 |  | Name#8 | 0 |  | Name#8 | 200000 | 0 |  | 0
 | Name#9 | 0 |  | Name#9 | 0 |  | Name#9 | 300000 | 0 |  | 0
 |  |  |  |  |  |  |  |  |  | Total for all agents | 0
 | min | 0
 | [NAME] | 0
 | average | #N/A
Spreadsheet: 116639d1311962231-designing-a-survey-in-excel-and-vb-questionnaire-on-nat-testing-of-blood-donations
Sheet: 4. HIV

 |  | HIV screening |  |  |  |  | HIV screening
 |  |  |  |  |  |  | Run controls used for HIV NAT
 |  | Run controls used for HIV NAT |  |  |  |  | part of commercial assay | 0
 |  |  |  |  |  |  | other commercial supplier, please specify | 0 | 0
 |  | part of commercial assay |  |  |  |  | WHO standard | 0
 |  |  |  |  |  |  | National standard, please specify | 0 | 0
 |  | other commercial supplier, please specify |  |  |  |  | In house standard, please specify | 0 | 0
 |  | WHO standard |  |  |  |  | Availability of run controls
 |  |  |  |  |  |  | sufficient | 0
 |  | National standard, please specify |  |  |  |  | not sufficient, please specify | 0 | 0
 |  | In house standard, please specify |  |  |  |  | If HIV NAT is not performed, please indicate reasons | 0
 |  |  |  |  |  |  | Is the introduction of HIV NAT planned? | 0
 |  | Availability of run controls
 |  | sufficient
 |  | not sufficient, please specify
 |  | If HIV NAT is not performed, please indicate reasons
 |  | Is the introduction of HIV NAT planned? If yes,
 |  | please indicate intended starting date and test system
 |  |  |  | Page 7 of 34
Spreadsheet: 274544d1383146680-find-if-a-value-exists-in-another-list-and-then-calculate-weighted-average-vlookup-product
Sheet: Sheet1

ID | Weight |  | ID | Score |  | The result to be achieved is: |  |  |  |  | Target List
A1 | 0.02 |  | A1 | 1 |  |  |  |  |  |  | A1
A3 | 0.03 |  | A2 | 2 |  | (2%*1 + 3%*3 + 4%*5)/(2% + 3% + 4%) = 3.44 |  |  |  |  | A3
A5 | 0.04 |  | A3 | 3 |  |  |  |  |  |  | A5
A10 | 0.1 |  | A4 | 4 |  | Note: A10 is not in the target list.
 |  |  | A5 | 5
 |  |  | A6 | 6
 |  |  | A7 | 7
 |  |  | A8 | 8
 |  |  | A9 | 9
 |  |  | A10 | 10
 |  |  |  |  |  |  |  |  |  |  | Wgt. [NAME].
Spreadsheet: 106008d1303242276-choose-random-value-based-on-list-weightedpick
Sheet: Sheet1

bob | 10 |  | 1 | 1 | 0.8345437019300563 |  | bob
[NAME] | 2 |  | 11 | 1 | 0.2650236550832794
fred | 8 |  | 13 | 1 | 0.008643572887066187
martin | 15 |  | 21 | 1 | 0.09985632387701798
 |  |  |  | 1 | 0.1332408924134263
 |  |  |  | 1 | 0.7701313922596222
 |  |  |  | 1 | 0.6717303817500024
 |  |  |  | 1 | 0.2754061667739292
 |  |  |  | 1 | 0.97529088675819
 |  |  |  | 1 | 0.5431258521837812
 |  |  |  | 11 | 0.2503212969149393
 |  |  |  | 11 | 0.6167840016190367
 |  |  |  | 13 | 0.6470069005592478
 |  |  |  | 13 | 0.4660973923727481
 |  |  |  | 13 | 0.7538174927586372
 |  |  |  | 13 | 0.4529233825758086
 |  |  |  | 13 | 0.3718672770157987
 |  |  |  | 13 | 0.3198545721589519
 |  |  |  | 13 | 0.5030801730661714
 |  |  |  | 13 | 0.9617066828689809
 |  |  |  | 21 | 0.1326594562610905
 |  |  |  | 21 | 0.05984694017026215
 |  |  |  | 21 | 0.9681264121446032
 |  |  |  | 21 | 0.18082067214758
 |  |  |  | 21 | 0.05114816138337042
 |  |  |  | 21 | 0.5374199460808584
 |  |  |  | 21 | 0.2126174601104718
 |  |  |  | 21 | 0.327402744943339
 |  |  |  | 21 | 0.6336850885321796
 |  |  |  | 21 | 0.6325814745362557
 |  |  |  | 21 | 0.7939884205670671
 |  |  |  | 21 | 0.9716053891658714
 |  |  |  | 21 | 0.3478539980226083
 |  |  |  | 21 | 0.4854415800361311
 |  |  |  | 21 | 0.7330845348438988
Spreadsheet: 143297d1330355111-lookup-and-calculate-based-on-group-name-try1-autosaved-
Sheet: Tables

Date | 6-Feb | 7-Feb | 8-Feb | 9-Feb | 10-Feb | 13-Feb | 14-Feb | 15-Feb | 16-Feb | 17-Feb | 21-Feb | 22-Feb
Opened | 293 | 235 | 274 | 238 | 246 | 305 | 221 | 268 | 215 | 267 | 324 | 336
Resolved | 172 | 181 | 185 | 204 | 191 | 254 | 250 | 246 | 190 | 244 | 269 | 315
Backlog
TTR | 1900-01-01 03:45:16.814000 | 1900-01-01 09:53:22.221000 | 19:44:49.611000 | 1900-01-01 03:47:33.618000 | 1900-01-01 04:36:07.555000 | 1900-01-02 01:24:49.169000 | 1900-01-02 00:36:35.084000 | 1900-01-02 00:43:40.333000 | 1900-01-01 12:07:18.968000 | 1900-01-01 14:11:30.381000 | 1900-01-02 06:56:37.022000 | 1900-01-02 22:58:56.956000