tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 840660d1692892341-copying-records-from-sheet1-to-sheet2-based-on-a-condition-dynamically-mockdata-aligw
Sheet: Interviews

Date of Interview | Current Location | Candidate Name | [NAME] | Sponsorship? | Relocation? | Availability | Position Title Going For | Tech Interviewer | [NAME] | Interview Feedback | Recommendation | [NAME] | [NAME] | Start Date
 | Texas | Name1 | RecruiterName1 | No | Yes | 2 weeks | Role Title1 | InerviewerName1 | InerviewerName1 | xxxxxxxxxxxxx | Rejected | 0 | 0 | 00:00:00
45079 | Texas | [NAME] | RecruiterName2 | Yes | Yes | 2 weeks | Role Title2 | InerviewerName1 | InerviewerName1 | xxxxxxxxxxxxx | Rejected | 0 | 0 | 00:00:00
45082 | Illinois | Name4 | RecruiterName4 | Yes | Yes | 2 weeks | Role Title4 | InerviewerName1 | InerviewerName1 | xxxxxxxxxxxxx | [NAME] | Yes | Yes | 2023-07-15 00:00:00
45083 | Texas | Name5 | RecruiterName5 | Yes | Yes | 2 weeks | Role Title5 | InerviewerName1 | InerviewerName1 | xxxxxxxxxxxxx | Rejected | 0 | 0 | 00:00:00
45090 | Texas | Name10 | RecruiterName10 | Yes | Yes | 2 weeks | Role Title10 | InerviewerName1 | InerviewerName1 | xxxxxxxxxxxxx | Rejected | 0 | 0 | 00:00:00
45095 | District of Columbia (DC) | Name11 | RecruiterName11 | No | No | 2 weeks | [NAME] | InerviewerName1 | InerviewerName1 | xxxxxxxxxxxxx | Rejected | 0 | 0 | 00:00:00
45098 | Illinois | Name13 | RecruiterName13 | Yes | No | 2 weeks | Role Title13 | InerviewerName1 | InerviewerName1 | xxxxxxxxxxxxx | [NAME] | Yes | Yes | 2023-07-06 00:00:00
45100 | Pennsylvania | Name14 | RecruiterName14 | No | No | 2 weeks | Role Title14 | InerviewerName1 | InerviewerName1 | xxxxxxxxxxxxx | Rejected | 0 | 0 | 00:00:00
45111 | Texas | Name18 | RecruiterName18 | No | Yes | 2 weeks | Role Title18 | InerviewerName1 | InerviewerName1 | xxxxxxxxxxxxx | [NAME] | Yes | Yes | 2023-08-01 00:00:00
45139 | New Jersey | Name21 | RecruiterName21 | No | No | 2 weeks | [NAME] | InerviewerName1 | InerviewerName1 | xxxxxxxxxxxxx | [NAME] | Yes | Yes | 2023-09-01 00:00:00
45140 | New Jersey | Name22 | RecruiterName22 | Yes | No | 2 weeks | [NAME] | InerviewerName1 | InerviewerName1 | xxxxxxxxxxxxx | [NAME] | Yes | Yes | 2023-09-01 00:00:00
45141 | New Jersey | Name23 | RecruiterName23 | No | No | 2 weeks | [NAME] | InerviewerName1 | InerviewerName1 | xxxxxxxxxxxxx | [NAME] | Yes | No | 00:00:00
45152 | Georgia | Name25 | RecruiterName25 | No | Yes | 2 weeks | [NAME] | InerviewerName1 | InerviewerName1 | xxxxxxxxxxxxx | Rejected | 0 | 0 | 00:00:00
Spreadsheet: 120805d1315523596-selector-guide-example-1
Sheet: Sheet2

Product Selector Guide |  |  |  |  |  |  |  |  | Indusry 1 | Industry 1 | Industry 1 | Industry 1 | Industry 1 | Industry 1 | Industry 2 | Industry 2 | Industry 2 | Industry 2 | Industry 2 | Industry 3 | Industry 3 | Industry 3 | Industry 3 | Industry 3
Name | Property 1 | Description | Property 2 | Property 3 | property 4 | property 5 | property 6 |  | Food | Industrial | HBA | Packaging | Security | [NAME] | Architectural | Signage | Protective Film | Traffic | Vehicle Wrap | Med | Industrial | Auto. | B&C | Elec.
E5500 | P | Good on certain prodcuts | 52.5 | 0.68 | 1.3 | 1.5 | 110 |  |  |  |  | X
E5501 | P | great product | 58 | 0.7 | 1.7 | 0.85 | 10 |  |  |  |  | X |  |  |  |  |  |  |  |  | X
E5510 | P | industry standard | 52 | 4.8 | 5.4 | 4.9 | 60 |  |  | X | X | X |  | X
E5520 | P | cool | 59.5 | 3.2 | 4.2 | 3.4 | 440 |  |  |  |  | X |  |  |  | X
E5561 | P | best | 56 | 5.5 | 5.5 | 5.5 | 200 |  |  | X
[NAME] | P | worst | 60 | 3.1 | 6.3 | 3.2 | 310 |  |  | X |  | X
E5571 | P | use |  | 2 | 2.9 | 3 | 1000 |  |  | X
E5580 | P | don't use | 62 | 5 | 5.5 | 3.6 | 120 |  |  |  | X | X |  | X |  |  |  |  |  | X | X
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | X
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | X
Spreadsheet: c9889748-fcb6-4734-bfc8-b81555f1a46f
Sheet: Sheet1

PROG ID | ATHLETE ID | ATHLETE FIRST | ATHLETE LAST | NATIONALITY | START NUMBER | SNOWSHOE | T1 | SKATE | T2 | SKI | POSITION | TOTAL TIME
1890 | 6008 | Carina | Wasle | AUT
1890 | 6010 | Kristina | Lapinova | SVK
1890 | 6006 | L'Ubomira | Kalinova | SVK
Spreadsheet: kim_ward__20823__DWP Gas Assets
Sheet: El Paso Capacity

City of Los Angeles
Department of Water & Power
El Paso Natural Gas (EPNG) Transport
Effective Date: |  | 1991-05-28 00:00:00
Term: |  | 15 years
Capacity: |  | 36000 | MMBtu/d @ Topock
 | A | B | C=(A+B)*12/365 | D | E | F=C+D+E | G
Rate | Demand | Add-On | Demand | Commodity | AGA + | Total | Fuel
 | Charge | $/Dth/Mth | Charge | Charge | GRI | Cost
 | to CA |  | Commoditized | $/MMBtu | $/MMBtu | @ 100%
 | Border |  | @ 100% LF |  |  | LF
 | $/Dth/Mth |  | $/MMBtu |  |  | $/MMBtu
FT-1 | 8.82773 | 1.74585 |  | 0.0162 | 0.011 |  | 0.0495
Spreadsheet: 768839d1645150429-beginner-trying-to-compare-cells-in-two-columns-and-copy-a-third-column-if-it-is-a-match-ordertest
Sheet: NE Trade

Release Date (Last 3 Months) | Module | Order | Product Code | Product Code | Barcode | Description | RSL | Qty in Pack | TPI | EUD | SKR | SKD | NKR | NKD | DKR | DKD | Commodity Code | Country of Origin | Weight (kg) | Cube (cm3) | 21-25 | Base Paint: Abaddon Black | IF this Matches D | Then [NAME] this to C
- |  |  | 01-05 | [PHONE] | [PHONE] | [NAME] | 0 | 1 | 40 | 22 | 360 | 190 | 330 | 173 | 300 | 156 | 95030095 | GB | 0.194 | 1522 | 66-27 | Citadel Colour Sub-assembly Holder | 62-02 | 1
2022-01-15 00:00:00 | E:B200a |  | 01-07 | [PHONE] | [PHONE] | ADEPTUS CUSTODES: CUSTODIAN GUARD | 1 | 1 | 45 | 24.75 | 420 | 221 | 390 | 202 | 350 | 182 | 95030095 | GB | 0.158 | 1384 | 66-09 | Citadel Painting Handle (Mark 2) | 66-16 | 3
2022-01-15 00:00:00 | E:B200a |  | 01-08 | [PHONE] | [PHONE] | ADEPTUS CUSTODES: SISTERS OF SILENCE | 1 | 1 | 38 | 20.9 | 360 | 198 | 325 | 179 | 300 | 156 | 95030095 | GB | 0.1183 | 1046 | 64-60 | Conservators - Battlezone Manufactorum | 66-27 | 3
- |  |  | 01-10 | [PHONE] | [PHONE] | CAPTAIN-GENERAL TRAJANN VALORIS | 0 | 1 | 32.5 | 17.88 | 300 | 165 | 275 | 151 | 250 | 130 | 95030095 | GB | 0.07699999999999999 | 700 | 29-37 | Contrast Paint: Basilicanum Grey | 66-09 | 3
- |  |  | 66-27 | [PHONE] | [PHONE] | ADEPTUS CUSTODES CUSTODIAN WARDENS | 0 | 1 | 45 | 24.75 | 420 | 221 | 390 | 202 | 350 | 182 | 95030095 | GB | 0.191 | 1248 | 29-13 | Contrast Paint: Flesh Tearers Red | 64-60 | 2
- |  |  | 64-60 | [PHONE] | [PHONE] | ADEPTUS CUSTODES VERTUS PRAETORS | 0 | 1 | 45 | 24.75 | 420 | 221 | 390 | 202 | 350 | 182 | 95030095 | GB | 0.276 | 1619 | 29-32 | Contrast Paint: Guilliman Flesh | 29-37 | 1
- | E:B200b |  | 01-12 | [PHONE] | [PHONE] | ADEPTUS CUSTODES ALLARUS CUSTODIANS | 1 | 1 | 40 | 22 | 360 | 190 | 330 | 173 | 300 | 156 | 95030095 | GB | 0.183 | 1242 | 29-10 | Contrast Paint: Iyanden Yellow | 29-13 | 1
2022-01-15 00:00:00 |  |  | 29-37 | [PHONE] | [PHONE] | CODEX: ADEPTUS CUSTODES (ENG) | 0 | 1 | 37.5 | 22.5 | 360 | 216 | 330 | 198 | 300 | 180 | 49019900 | CN | 0.657 | 825 | 29-21 | Contrast Paint: Nazdreg Yellow | 29-32 | 1
2022-01-15 00:00:00 |  |  | 01-14 | [PHONE] | [PHONE] | DATACARDS: ADEPTUS CUSTODES (ENG) | 0 | 1 | 20 | 11 | 180 | 99 | 170 | 94 | 150 | 78 | 49119100 | CN | 0.1324 | 211 | 29-22 | Contrast Paint: Ork Flesh | 29-10 | 2
- |  |  | 01-15
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Spreadsheet: 759443d1639550741-need-3-formulas-to-count-and-find-max-amount-test
Sheet: Sheet1

Data Source |  |  |  |  |  | Result One |  |  | Result Two |  |  |  | Result Three
 |  |  |  |  |  | Need a formula to count if "Y" and "N" are in the same invoice.  Use row 7A to 9C as example: The invoice # 91617136 has different type "Y" and "N", so the count result is 2.  Use another example #91630244 in A11 to 12C, since C11 and C12 are the same type "N", so the count result is 1 |  |  | Based on column B and C, need to count how many invoices on column A |  |  |  | Based on the column J, K, L criterias, from column A6 to D38, which invoice has the [NAME] amount.
Billing Document | Billing Month | Finished  (Y)/(N) | Gross Amount |  |  | Billing Document |  |  | Column B | Column C | Column A
91604849 | 2020-11 | Y | 772.2 |  |  | 91604849 | 1 |  | 2020-11 | Y | 6
91617136 | 2020-12 | N | 91836.97 |  |  | 91617136 | 2 |  | 2020-12 | N | 2
91617136 | 2020-12 | N | 222 |  |  | 91630243 | 1 |  | 2020-12 | Y | 1
91617136 | 2020-12 | Y | 87008.67 |  |  | 91630244 | 1 |  | 2021-02 | N | 3
91630243 | 2021-02 | N | 9500 |  |  | 91633576 | 1 |  | 2021-03 | Y | 1
91630244 | 2021-02 | N | 2375 |  |  | 91640435 | 1 |  | 2021-03 | N | 1
91630244 | 2021-02 | N | 2375 |  |  | 91641881 | 1 |  | 2021-04 | N | 2
91633576 | 2021-02 | N | 1604.25 |  |  | 91653509 | 1 |  | 2021-05 | Y | 1
91640435 | 2021-03 | Y | 8651.44 |  |  | 91653943 | 1 |  | 2021-05 | N | 1
91641881 | 2021-03 | N | 834.75 |  |  | 91662929 | 2 |  | 2021-06 | N | 7
91653509 | 2021-04 | N | 833.4 |  |  | 91664641 | 1 |  | 2021-06 | Y | 5
91653943 | 2021-04 | N | 2500 |  |  | 91667432 | 1
91662929 | 2021-05 | Y | 3127.92 |  |  | 91667434 | 1
91662929 | 2021-05 | N | 15898.86 |  |  | 91667436 | 1
91664641 | 2021-06 | N | 8924.529999999999 |  |  | 91667439 | 1
91667432 | 2020-11 | Y | 2163.28 |  |  | 91667441 | 1
91667434 | 2020-11 | Y | 4616.83 |  |  | 91667442 | 1
91667436 | 2020-11 | Y | 372.49 |  |  | 91667443 | 1
91667439 | 2020-11 | Y | 11750.33 |  |  | 91667445 | 1
91667441 | 2021-06 | Y | 531.97 |  |  | 91667447 | 1
91667442 | 2021-06 | Y | 3277.17 |  |  | 91667449 | 1
91667443 | 2021-06 | Y | 1111.04 |  |  | 91667453 | 1
91667445 | 2021-06 | Y | 2276.81 |  |  | 91667454 | 1
91667447 | 2020-11 | N | 3813 |  |  | 91667455 | 1
91667449 | 2020-11 | Y | 791.1500000000001 |  |  | 91667456 | 2
91667453 | 2021-06 | N | 381 |  |  | 91667457 | 1
91667454 | 2021-06 | N | 381 |  |  | 91667458 | 1
91667455 | 2021-06 | N | 1143
91667456 | 2021-06 | N | 48624
91667456 | 2021-06 | Y | 459
91667457 | 2021-06 | N | 16206
91667458 | 2021-06 | N | 8265
91667458 | 2021-06 | N | 8265
Spreadsheet: 856455d1705683983-counting-cells-that-meet-multiple-criteria-book1
Sheet: Sheet1

DWANEY MILLS |  |  |  |  |  |  |  |  |  | DM |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Vacations
[NAME] |  |  |  |  |  |  |  |  |  | RM |  |  |  |  | V |  |  | V
[NAME] |  |  |  |  |  |  |  |  |  | SW |  |  |  |  | V |  |  | V
[NAME] |  |  |  |  |  |  |  |  |  | JM |  | UO |  |  | UO |  |  | UO |  |  | UO |  |  | UO |  |  | UO |  |  | UO
[NAME] |  |  |  |  |  |  |  |  |  | DL |  | UO |  |  | UO |  |  | UO |  |  | UO |  |  | UO |  |  | UO |  |  | UO
HAYDEN JACKSON |  |  |  |  |  |  |  |  |  | HJ
JAQUAN MASON |  |  |  |  |  |  |  |  |  | JM
[NAME] |  |  |  |  |  |  |  |  |  | HC
BRUCE MELTON |  |  |  |  |  |  |  |  |  | BM |  | 55 |  |  | 55 |  |  | 55 |  |  | 55 |  |  | 55 |  |  | 55 |  |  | 55
[NAME] |  |  |  |  |  |  |  |  |  | CC |  | 55 |  |  | V |  |  | V |  |  | 55 |  |  | 55 |  |  | 55 |  |  | 55
DONNIE NALLEY |  |  |  |  |  |  |  |  |  | DN |  |  |  |  | V
[NAME] |  |  |  |  |  |  |  |  |  | TB |  | 55 |  |  | 55 |  |  | 55 |  |  | 55 |  |  | 55 |  |  | 55 |  |  | 55
MARTY BROOME |  |  |  |  |  |  |  |  |  | MB
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | V | V
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | V | V | V
CRANE OPERATOR |  |  |  |  |  |  |  |  |  | C
UNASSIGNED |  |  |  |  |  |  |  |  |  | X
Spreadsheet: 88087d1288014440-identify-2-or-3-conescutives-in-a-string-of-data-forum-example
Sheet: Sheet1

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Spreadsheet: 258793d1376854846-adult-baseball-league-schedule-2013fall-schedule-1-
Sheet: BAYSOX

Game # | week # | Visitors | Home | Field
4 | 1 | BAYSOX | SEADOGS | GHS
11 | 2 | SEADOGS | BAYSOX | [NAME]
9 | 2 | BAYSOX | SENATORS | DP
12 | 3 | BAYSOX | BYE
18 | 4 | TIGERS | BAYSOX | LBU
22 | 4 | SENATORS | BAYSOX | [NAME]
28 | 5 | BAYSOX | KEYS | [NAME]
24 | 5 | BAYSOX | MUDCATS | CCC
32 | 6 | REDWINGS | BAYSOX | LBU
36 | 7 | BAYSOX | KEYS | CCC
Spreadsheet: 02d1dae1-973a-43a7-8632-adf467bd0460
Sheet: JM

Table | Jamaica |  | Latin America and the Caribbean
 | Grain | Root | Commercial | Food aid |  | Aggregate
Year | production | production | imports | receipts |  | availability
 |  | (grain equiv.) | (grains) | (grain equiv.) |  | of all food
 |  |  | ---1,000 tons ---
2002 | 1.752 | 53.96582538636562 | 480.759 | 0 |  | 814.9862422887113
2003 | 2.038 | 57.09459955145827 | 464.097 | 0 |  | 824.7249268793729
2004 | 1.598 | 50.68843805465535 | 489.35525 | 11.45375 |  | 833.0602537644385
2005 | 1.928 | 43.59827460787437 | 539.18125 | 11.45375 |  | 848.8967077563075
2006 | 1.895 | 50.91974846240038 | 579.426 | 3.6 |  | 856.8083798499224
2007 | 1.675 | 47.70565708459166 | 546.756 | 1.2575 |  | 864.4032138480435
2008 | 2 | 45.97232904224454 | 560 | 0 |  | 937.211272663391
2009 | 2 | 45.97232904224454 | 570 | 0 |  | 930.6148265774594
2010(e) | 2 | 55.94300607244341 | 576.6534870110585 | 0.4191666666666667 |  | 964.7807151806128
Projections |  |  |  | Food gaps*
 |  |  |  | NG | DG
2011 | 1.85831138496463 | 56.5558569639556 | 497.3969713325898 | 0 | 14.04349783180328 | 846.2404162519457
2016 | 1.935436142890582 | 59.67001572146868 | 584.1447101653558 | 0 | 0 | 1011.245405108745
2021 | 2.035562515855739 | 62.86728673365523 | 509.2151580587342 | 0 | 0.3631353648258434 | 958.9095546581409
Source: Economic Research Service, using data from FAOSTAT (grain and root and tuber production and imports), and the World Food Program (food aid).
*NR stands for nutritional requirements and describes the amount of grain equivalent needed to support nutritional standards on
*NG stands for nutritional gap and describes the amount of grain equivalent needed to support nutritional standards on
income quintile to reach the nutrional requirement.
Spreadsheet: 5b50ccf2-d35a-44e5-b209-c7797ca89ed0
Sheet: Sheet1

Mandatory Contract |  | ORIGINAL | Substituted Product 2011 | Substituted Product 2012 | Substituted Product 2013 | Notes
Category | Speed Band | Model
Category 1 | 10 to 19 | Xerox 4118 |  | Xerox 3550
Category 2 | 20 to 29 | Xerox 5225 | Xerox 5325 | Xerox 5325 |  | price reduced in 2012
Category 3a | 30 to 39 | Xerox 5230 | Xerox 5330 | Xerox 5330 |  | price reduced in 2012
Category 3b | 30 to 39 | Xerox 3635
Category 4 | 40 to 49 | Xerox 5740 |  |  | 5845
Category 5 | 50 to 59 | Xerox 5755 |  |  | 5855
Category 6 | 60 to 69 | Xerox 5765 |  |  | 5865
Category 7 | 70 to 79 | Xerox 5775 |  |  | 5875
Category 8 | 80 + | Xerox 5790 |  |  | 5895
Category 9 | 10 to 19 color | Xerox 7232 |  | Xerox 7120 | 7220 | 2 tray model added
Category 10a | 20 to 29 color | Xerox 7425 | Xerox 7525 |  | 7225
Category 10b | 20 to 29 color | [NAME] |  | Xerox 6400
Category 11 | 30 to 39 color | [NAME] | Xerox 7535 |  | 7830
Category 12 | 40 to 49 color | Xerox 7755 | Xerox 7545 |  | 7845
Category 13 | 50 + color | Xerox 7765 | Xerox 7556 |  | 7855
NON MANDATORY Production Contract |  | ORIGINAL | Substituted Product 2011 | Substituted Product 2012 | Substituted Product 2013 | Notes
Category |  | Model
category 8 - production | 80 + | [NAME] |  | [NAME]
category 8 - production | 80 + | Xerox 4112 |  | Xerox D110
category 8 - production | 80 + | Xerox 4127 |  | Xerox D125
category 8 - production | 80 + | [NAME] 100
category 8 - production | 80 + | [NAME] 120
category 8 - production | 80 + | [NAME] 144 |  |  |  | acc upgrade to 157
category 15 | 288 | [NAME] 288 |  |  |  | acc upgrade to 314
category 13 - production | 50 + color | Xerox 250 | Xerox 550
category 13 - production | 50 + color | Xerox 260 | Xerox 560
category 13 - production | 50 + color | [NAME] |  | [NAME] | C75
category 13 - production | 50 + color | Xerox 7002 |  |  | J75
category 14 | 80 + color | Xerox 8002 |  |  | 8080
category 14 | 80 + color | Xerox ColorPress 800
category 14 | 80 + color | Xerox ColorPress 1000
category 16 | 110 + color | Xerox IGEN 4
category 12 - production | 40 to 49 color | ----------------------- |  | Xerox ColorQube 9302 |  | originally bid in 2010
Spreadsheet: 466818d1466452955-rank-with-multiple-criteria-rankw-criteria-ex
Sheet: Input

 | Rank | Type of Fruit | Category
 | 1 | Granny | Apples
 | 2 | [NAME] | Pear
 | 3 | Navel | Oranges
 | 1 | Clementine | Oranges
 | 2 | [NAME] | Oranges
 | 1 | Bosc | Pear
Spreadsheet: 770677d1646223172-add-values-in-range-of-cells-if-values-in-other-cells-match-staff-bonuses-2019-working-v2-help-file
Sheet: Admin

Group Number | Date | Floor | [NAME] | Closing | Payroll %
372 | 2022-01-02 00:00:00 | 6.62 | 0 | 0 | 0.401
372 | 2022-01-03 00:00:00 | 6.63 | 0 | 0.11 | 0.466
372 | 2022-01-04 00:00:00 | 6.89 | 0 | 0.11 | 0.323
372 | 2022-01-05 00:00:00 | 7.77 | 0 | 0 | 0.372
372 | 2022-01-10 00:00:00 | 5.82 | 0 | 0 | 0.516
372 | 2022-01-11 00:00:00 | 5.78 | 0.29 | 0 | 0.444
372 | 2022-01-06 00:00:00 | 7.81 | 0.29 | 0 | 0.263
372 | 2022-01-09 00:00:00 | 7.93 | 0.36 | 0 | 0.302
372 | 2022-01-10 00:00:00 | 8.39 | 0.43 | 0 | 0.446
372 | 2022-01-12 00:00:00 | 6.72 | 0.13 | 0.05 | 0.317
500 | 2022-01-13 00:00:00 | 7.29 | 0.34 | 0.07 | 0.434
500 | 2022-01-14 00:00:00 | 5.41 | 0.09 | 0 | 0.306
500 | 2022-01-03 00:00:00 | 5.17 | 0.97 | 0.1 | 0.546
500 | 2022-01-04 00:00:00 | 6.68 | 1.62 | 0 | 0.511
500 | 2022-01-09 00:00:00 | 7.63 | 0 | 0.09 | 0.447
500 | 2022-01-11 00:00:00 | 6.65 | 0 | 0.11 | 0.394
500 | 2022-01-12 00:00:00 | 5.43 | 0 | 0.15 | 0.336
372
500
Total
Total
Spreadsheet: 88429d1288262051-multiple-sumproduct-formulas-spreadsheet-draft-281010
Sheet: Rating

 |  |  |  |  | A |  | 2 | 10 | 2000000 | 24 Hour | 0 | 1500
 |  |  |  |  | B |  | 4 | 30 | 500000 | 24 Hour | 0 | 0
 |  |  |  |  | C |  | 0 | 30 | 1000000 | 24 Hour | 0 | 0
 |  |  |  |  | D |  | 0 | 40 | 25000 | 24 Hour | 0 | 0
 |  |  |  |  | E |  | 0 | 50 | 500000 | 24 Hour | 0 | 0
 |  |  |  |  | Total |  |  | 160 | 4025000
 |  | 0.0005 |  |  |  | A | B | C |  | D | E | F
 |  | 0.0005 | 1 |  | A | AD Only | Fixed | 50000 |  | 500000 | 0.000325 | 162.5
 |  | 0.00025 | 0.5 |  | B | PDT Only | [NAME] | 2 |  | 1000000 | 0 | 0
 |  | 0.0002 | 0.4 |  | C | AD/ PTD / PDI | Fixed | 30000 |  | 900000 | 0.000325 | 292.5000000000001
 |  | 0.003 | 0 |  | D | AD/ PTD / PDI | Fixed | 40000 |  | 1600000 | 0.000325 | 520.0000000000001
 |  |  |  |  | E | AD/ PTD / PDI | Fixed | 5000 |  | 250000 | 0.000325 | 81.25000000000001
 |  |  |  |  | Total |  |  |  |  |  |  | 1056.25
 |  | AD | 0.65
 |  | PTD | 0.3
 |  | PDI | 0.05
Spreadsheet: 811157d1672318668-formula-to-render-column-header-as-result-toforum
Sheet: toforum

Sales | NEArest | 2weekaverage | 5weekaverage | 7weekaverage | 9weekaverage | 11weekaverage | 14weekaverage | 16weekaverage | 18weekaverage
40000 |  | 38000 | 38500 | 70000 | 60000 | 47000 | 63000 | 48000 | 36000
Spreadsheet: cc044e5e-8161-423a-859e-2530149e39da
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
DISI | Test | DISI | HLA Class I Molecular Typing Disease Association | HLA Class I Mol Typing DiseaseAssoc | Polymerase Chain Reaction (PCR)/Sequence-Specific Oligonucleotide Probes (SSO) (PCR is utilized pursuant to a license agreement with Roche Molecular Systems, Inc.) |  |  |  | 6 | mL | Container/Tube: Yellow top (ACD solution B) [NAME]: 6 mL 	 Collection Instructions: Do not transfer blood to other containers.  Additional Information: Specimen acceptability is based on extracted DNA concentration and not sample age. | 3 mL | Hemolysis	NA Thawing	NA Lipemia	NA Icterus	NA Other	NA | Not applicable | Monday through Friday; 7:30 a.m.-5 p.m. | 5 days | 9 days | 1 | 81372 |  |  |  |  | Rochester
DISI | [NAME] | ACDB | [NAME] ACD-B |  |  |  | Refrigerated
DISI | Result | [NAME] | A Locus Serology | A Locus Serology | Alphanumeric |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 38548-4
DISI | Result | ALOC3 | A Locus Molecular | A Locus Molecular | Alphanumeric |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 38548-4
DISI | Result | BLOC1 | B Locus Serology | B Locus Serology | Alphanumeric |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 38546-8
DISI | Result | BLOC3 | B Locus Molecular | B Locus Molecular | Alphanumeric |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 38546-8
DISI | Result | CLOC1 | Cw Locus Serology | Cw Locus Serology | Alphanumeric |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 38547-6
DISI | Result | CLOC3 | C Locus Molecular | C Locus Molecular | Alphanumeric |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 38547-6
DISI | Result | BW1 | Bw Locus Serology | Bw Locus Serology | Alphanumeric |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 38549-2
Spreadsheet: 1b2ac079-2c8a-4eaf-afee-8d2a87c84fc2
Sheet: Sheet1

#23492 Niagara PowerStream 5222RW Analog Streaming System | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4
rev 5/31/05 ecb
Vendor | Ceavco | Engineering & Recording (Arizona) | Video Streaming Solutions (California) | AVI Audiovisual (Nebraska)
Responding
Item | [NAME] 5222RW Dual-Channel Analog Streaming System
Qty | 1
Each
Ext
Mfr
Leadtime
F.O.B.
Met all specs?
Spreadsheet: 1ef50df9-fd95-4868-9812-e00d22eb4d07
Sheet: 6

 | November 8 | November 15 | November 22 | November 29 | December 6
Total Interest Rate* | 3638807 | 3014536 | 2933201 | 1359657 | 3511254
SDs and MSPs** | 1437794 | 1387659 | 1302927 | 528338 | 1794494
Other | 2201013 | 1626877 | 1630274 | 831319 | 1716760
Total Cross-Currency | 161620 | 100879 | 168190 | 42084 | 120031
SDs and MSPs | 112608 | 71592 | 91901 | 27842 | 84457
Other | 49012 | 29287 | 76289 | 14242 | 35574
Total Credit | 764488 | 608408 | 893038 | 456078 | 971509
SDs and MSPs | 485298 | 382740 | 583786 | 304640 | 556629
Other | 279190 | 225668 | 309252 | 151439 | 414881
Total FX | N/A | N/A | N/A | N/A | N/A
SDs and MSPs | N/A | N/A | N/A | N/A | N/A
Other | N/A | N/A | N/A | N/A | N/A
Total Equity | N/A | N/A | N/A | N/A | N/A
SDs and MSPs | N/A | N/A | N/A | N/A | N/A
Other | N/A | N/A | N/A | N/A | N/A
Total Other Commodity | N/A | N/A | N/A | N/A | N/A
SDs and MSPs | N/A | N/A | N/A | N/A | N/A
Other | N/A | N/A | N/A | N/A | N/A
TOTAL | 4564915 | 3723823 | 3994429 | 1857819 | 4602794
Weekly total, swap dollar volumes by asset class and participant type (value of all trades in millions of USD), all products and tenors, cleared and uncleared. For cleared swaps, the notional value for each of the two resulting swaps is attributed only to the counterparty facing the clearing organization (i.e., the clearing organization’s participation is not displayed). For uncleared swaps, the notional value of the swap is attributed to both swap counterparties. The notional values of all price-forming trade events, including new trades, terminations, amendments, and novations, are included in dollar volumes. Because this table shows transactions by participant, the totals on this table are twice those displayed on the "Transaction Dollar Volume by Cleared Status" table.
*See Data Dictionary for asset class descriptions.
**See Explanatory Notes for participant type descriptions.
***N/A indicates that data are not currently available.
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