tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 12601ff9-35a8-45b7-a12e-814b37514e7d
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | OGC Testbed 10 Cost Sharing Funds Request Form | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6
 |  | Company Name Here
Labor Funding Request |  |  |  |  |  | Running Total
Requirement or Task | Deliverable | Assigned Personnel | [NAME] | Projected Labor Hours | Task Funding Request
Write GetView spec | Deliverable y.y.y | Sr. Software Eng. | 50 | 100 | 5000
Modify brand x client to support with GetView | Deliverable x.x.x | Assoc. Software Eng. | 30 | 150 | 4500
 |  | Expand form as needed
 |  | Group costs by thread, if responding to multiple threads
Total Labor |  |  |  |  | 9500 | 9500
Grand Total Cost Share Funds Request |  |  |  |  | 9500
Spreadsheet: 127595d1320421902-average-formula-excluding-div-error-client-retention
Sheet: Client Retention

SAP# | Unit Name | OCT | NOV | DEC | 1ST QTR ACTUALS | 1st QTR BUDGET | % | JAN | FEB | MAR | 2ND QTR ACTUALS | 2ND QTR BUDGETS | % | APR | MAY | JUN | 3RD QTR ACTUALS | 3RD QTR BUDGET | % | JUL | AUG | SEP | 4TH QTR ACTUALS | 4TH QTR BUDGET | % | Over All %
10423 | OCHSNER MEDICAL CENTER - WEST BANK | 0.95 | 0.95 | 0.95 |  | 1 |  | 0.95 | 0.95 | 0.95 |  | 1 |  | 0.8 | 0.8 | 0.8 |  | 1 |  |  |  |  |  | 1
10424 | OSCHNER MEDICAL CENTER - KENNER |  |  |  |  | 1 |  |  |  |  |  | 1 |  |  |  |  |  | 1 |  |  |  |  |  | 1
10429 | BILOXI REGIONAL MEDICAL CENTER |  |  |  |  | 1 |  |  |  |  |  | 1 |  |  |  |  |  | 1 |  |  |  |  |  | 1
10439 | SINGING RIVER HOSPITAL |  |  |  |  | 1 |  |  |  |  |  | 1 |  |  |  |  |  | 1 |  |  |  |  |  | 1
10440 | OCEAN SPRINGS HOSPITAL |  |  |  |  | 1 |  |  |  |  |  | 1 |  |  |  |  |  | 1 |  |  |  |  |  | 1
Spreadsheet: 129044d1321424079-how-to-validate-the-two-sheets-report-sales-check
Sheet: MATCH FOR DIFF

2011-11-16 00:00:00
 |  |  |  |  |  |  |  | Match the sales
 | Electronics | Books | Fruits | Vegetables |  |  |  | Manager sheet vs. Agent
A01 |  |  |  |  |  |  | 1 | If the details matching then it should show as | MATCHING
B02 |  |  |  |  |  |  | 2 | If not matching cell should show as "NOT MATCHING" with the value | NOT MATCHING
A02
B03
B06
B04
A04 |  |  |  |  |  |  |  | EXAMPLE
B05
A05 |  |  |  |  |  |  |  |  | Electronics | Books | Fruits | Vegetables
B06 |  |  |  |  |  |  |  | A01 | MATCHING | NOT MATCHING | NOT MATCHING | NOT MATCHING
A04 |  |  |  |  |  |  |  | B02 | NOT MATCHING | MATCHING | MATCHING | MATCHING
A03 |  |  |  |  |  |  |  | A02 | NOT MATCHING | MATCHING | MATCHING | MATCHING
 |  |  |  |  |  |  |  | B03 | NOT MATCHING | MATCHING | MATCHING | MATCHING
 |  |  |  |  |  |  |  | B06 | NOT MATCHING | MATCHING | MATCHING | MATCHING
 |  |  |  |  |  |  |  | B04 | MATCHING | MATCHING | MATCHING | MATCHING
 |  |  |  |  |  |  |  | A04 | MATCHING | MATCHING | MATCHING | MATCHING
 |  |  |  |  |  |  |  | B05 | MATCHING | MATCHING | MATCHING | MATCHING
 |  |  |  |  |  |  |  | A05 | MATCHING | NOT MATCHING | NOT MATCHING | NOT MATCHING
 |  |  |  |  |  |  |  | B06 | MATCHING | NOT MATCHING | NOT MATCHING | NOT MATCHING
 |  |  |  |  |  |  |  | A04 | MATCHING | MATCHING | MATCHING | MATCHING
 |  |  |  |  |  |  |  | A03 | MATCHING | MATCHING | NOT MATCHING | MATCHING
Spreadsheet: 181fd2d5-b923-45f2-ba3d-dbbd79badfa3
Sheet: 1996-97

Table Q
Full Time Affiliate Student numbers
Department | Undergraduate |  |  | Graduate |  |  | Total
 | Home | Overseas | Total | Home | Overseas | Total
Anatomy and Developmental Biology | 2 | 0 |  | 2 | 0
Anthropology | 6 | 18 |  | 1 | 0
Institute of Archaeology | 1 | 4 |  | 1 | 0
[NAME] | 14 | 3 |  | 18 | 2
Biochemistry and Molecular Biology | 1 | 3 |  | 0 | 0
Biology | 1 | 8 |  | 0 | 0
Chemical and Biochemical Engineering | 12 | 3 |  | 0 | 0
Chemistry | 9 | 2 |  | 0 | 0
Civil and Environmental Engineering | 7 | 5 |  | 1 | 0
Faculty of Clinical Sciences | 4 | 0 |  | 0 | 0
Computer Science | 1 | 4 |  | 1 | 0
Development Planning Unit | 0 | 0 |  | 0 | 9
[NAME] and Literature | 8 | 10 |  | 1 | 0
Economics | 1 | 26 |  | 4 | 1
Electronic and Electrical Engineering | 7 | 2 |  | 1 | 1
English Language and Literature | 4 | 16 |  | 1 | 0
Slade School of Fine Art | 3 | 17 |  | 2 | 5
Geography | 8 | 8 |  | 0 | 0
Geological Sciences | 2 | 1 |  | 0 | 0
German | 9 | 1 |  | 0 | 0
Greek and Latin | 7 | 1 |  | 1 | 0
Hebrew and Jewish Studies | 1 | 4 |  | 0 | 0
History | 12 | 11 |  | 0 | 0
History of Art | 8 | 8 |  | 1 | 0
Italian | 6 | 0 |  | 1 | 0
Laws | 32 | 0 |  | 0 | 38
Faculty of Life Sciences | 1 | 0 |  | 0 | 0
Mathematics | 2 | 3 |  | 0 | 0
Mechanical Engineering | 1 | 0 |  | 0 | 0
Medical Physics | 0 | 0 |  | 0 | 1
Philosophy | 1 | 12 |  | 2 | 0
Phonetics and [NAME] | 2 | 0 |  | 1 | 2
Photogrammetry and Surveying | 0 | 0 |  | 2 | 0
Physics and Astronomy | 4 | 4 |  | 1 | 0
Physiology | 0 | 0 |  | 0 | 0
Psychology | 12 | 11 |  | 0 | 0
Scandinavian Studies | 13 | 0 |  | 0 | 0
Science and Technology Studies | 1 | 3 |  | 0 | 0
Total
Faculty | Undergraduate |  |  | Graduate |  |  | Total
 | Home | Overseas | Total | Home | Overseas | Total
Arts and Humanities | 54 | 61 |  | 9 | 7
Built Environment | 14 | 3 |  | 18 | 11
Clinical Sciences | 4 | 0 |  | 0 | 0
Engineering | 27 | 10 |  | 4 | 1
Laws | 32 | 0 |  | 0 | 38
Life Sciences | 17 | 22 |  | 2 | 0
Mathematical and Physical Sciences | 19 | 17 |  | 2 | 1
Social and Historical Sciences | 36 | 75 |  | 7 | 1
Total
As figures relate to the official HEFCE census date, 1 December, affiliate students who start in January are not included.
Spreadsheet: 4ed14866-eba7-41f5-8f33-d5c4000d62d4
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
FMCG4 | Test | FMCG4 | Milk Cow IgG4 | Milk Cow IgG4 | Enzyme Immunoassay (FEIA) | Plain, Red-Top Tube: Red |  |  | 0.5 | mL | Draw blood in a plain red-top tube(s), serum gel tube(s) is acceptable. Spin down and send 0.5 mL of serum refrigerated in a plastic vial. | 0.5 mL | Hemolysis	NA Thawing	Warm OK; Cold OK Lipemia	NA Icterus	NA Other	NA | <0.15 mcg/mL  The reference range listed on the report is the lower limit of quantitation for the assay. The clinical utility of food-specific IgG4 tests has not been clearly established. These tests can be used in special clinical situations to select foods for evaluation by diet elimination and challenge in patients who have food related complaints, and to evaluate food allergic patients prior to food challenges. The presence of food-specific IgG4 alone cannot be taken as evidence of food allergy and only indicated immunologic sensitization to the food allergen in question.   Test Performed by:	Viracor-IBT Laboratories 			1001 NW Technology Dr.  			Lee's Summit, MO 64086 | Monday, Wednesday, Friday | 2 - 3 days | 4 - 7 days | 1 | 86001 |  |  |  |  | Viracor-IBT Laboratories
FMCG4 | [NAME] | SERUM | Serum |  |  |  | Refrigerated | 28 days
FMCG4 | Result | FMCG4 | Milk Cow IgG4 | Milk Cow IgG4 | Alphanumeric |  |  |  |  |  |  |  |  |  |  |  |  |  |  | In Process
Spreadsheet: 0a2851f5-3f0c-4a22-856b-bf9132d09a47
Sheet: Table 1.4

Monthly Statistical Bulletin
1.4 Long-term unemployment
Month | 2010–11 | 2011–12 | 2012–13 | 2013–14 | 2014-15
Long-term unemployed (a) (b) – '000
July | 112.7214049 | 116.127409 | 115.597899 | 132.8333401 | 175.7136025
August | 114.4320062 | 115.3030593 | 117.7677901 | 136.0453574
September | 115.7191618 | 114.4947778 | 120.006802 | 139.1200497
October | 116.1896195 | 113.8910518 | 121.8090298 | 142.3762495
November | 115.6535477 | 113.8896458 | 122.352684 | 145.873496
December | 114.4413941 | 114.6409397 | 121.4728681 | 149.6260284
January | 113.3164166 | 115.7999858 | 120.1204243 | 153.3551845
February | 112.5945827 | 116.7785883 | 119.4862335 | 156.981741
March | 112.9429954 | 116.878517 | 120.4585979 | 160.6888697
April | 114.2498839 | 116.0410315 | 122.7840407 | 164.7518739
May | 115.6556137 | 114.959175 | 126.0399387 | 168.8093288
June | 116.408295 | 114.588469 | 129.5540215 | 172.4369167
Annual average | 113.919219425 | 115.2809436916667 | 121.5399985416667 | 151.904305125
Ratio (b) – per cent
July | 18.687681 | 19.2798213 | 18.5450297 | 19.2053341 | 23.2443553
August | 19.0569656 | 18.9000815 | 18.7015716 | 19.6095443
September | 19.3197898 | 18.6126594 | 18.8812654 | 19.9495146
October | 19.4443121 | 18.4467845 | 19.0268948 | 20.2462598
November | 19.4398609 | 18.462015 | 18.9830014 | 20.5390975
December | 19.3602704 | 18.6541647 | 18.6985446 | 20.8798221
January | 19.3018386 | 18.9155668 | 18.3166562 | 21.2845877
February | 19.3013542 | 19.1016785 | 18.0147665 | 21.7163806
March | 19.4301121 | 19.1300495 | 17.9307014 | 22.1426222
April | 19.5993255 | 18.9858309 | 18.0584464 | 22.5564564
May | 19.6790629 | 18.7437968 | 18.3873776 | 22.8838459
June | 19.5859351 | 18.5523084 | 18.8021962 | 23.0908702
Annual average | 19.28599124195199 | 18.7800546886211 | 18.52233725134591 | 21.23161725815737
(a) Unemployed for 52 weeks or more.
(b) Monthly figures are trend. Annual figures are from the original series. |  |  |  |  |  |  |  | Update
Source: ABS, Labour force, Cat. no. 6291.0.55.001 |  |  |  |  |  |  |  | 2014-08-14 00:00:00
Spreadsheet: 848365d1699086100-separation-digits-martha-aligw
Sheet: Sheet1

7.1.2 Helferstunden
2.2.89 Zulage Geotextilunterlage
3.1.10
3.1.7
3.1.8
3.1.9
4.1.1
4.1.10 Leerrohre DN 100
4.1.13 Leerrohrgraben (Maschinenaushub)
4.1.11 Leerrohre DN 150
4937FXLEI0 Tdo 4.1.1
4937FXLEI0 TDo 4.1.8 Schotter für Ausbes
4937FXLEI0 TDo 7.1.2 Helferstunden
Spreadsheet: 725494d1616697302-conditional-formattng-conditional-format-template
Sheet: Sheet1

Case Number | Priority | Business Hours Age | Opened Date |  | Priority | SLA
SF1234567 | P1 - Critical | 14 | 2021-03-24 00:00:00 |  | P1 | 12
SF1234568 | P1 - Critical | 6 | 2021-03-17 00:00:00 |  | P2 | 36
SF1234569 | P2 - High | 177.6336111111111 | 2021-02-23 00:00:00 |  | P3 | 400
SF1234570 | P2 - High | 24 | 2014-11-05 00:00:00
SF1234571 | P3 - Medium | 36 | 2021-03-16 00:00:00
SF1234572 | P3 - Medium | 24.74583333333333 | 2021-03-15 00:00:00 |  | Need Column C to reflect low to high with column G being the High
SF1234573 | P3 - Medium | 10.2875 | 2021-03-22 00:00:00
SF1234574 | P2 - High | 0.9533333333333334 | 2021-03-23 00:00:00 |  | Example how I need it to read
SF1234575 | P3 - Medium | 30 | 2021-03-18 00:00:00
SF1234576 | P3 - Medium | 494 | 2021-03-20 00:00:00 |  | Case Number | Priority | Business Hours Age
 |  |  |  |  | SF1234567 | P1 - Critical | 14
 |  |  |  |  | SF1234568 | P1 - Critical | 6
 |  |  |  |  | SF1234569 | P2 - High | 177.6336111111111
 |  |  |  |  | SF1234570 | P2 - High | 2
 |  |  |  |  | SF1234571 | P3 - Medium | 36
 |  |  |  |  | SF1234572 | P3 - Medium | 10
Spreadsheet: 165627d1341306466-vertical-lookup-and-horizontal-data-population-vertical-lookup-and-horizontal-data-population
Sheet: Sheet2

 |  |  | Period
Region | PWC Label | Data | Jan | Feb | Mar | Grand Total
SRILANKA | Mono | Sum of  Netinv.sls | 8858 | 7668 | 9842 | 26368
 |  | Sum of Netinv.qty | 30 | 28 | 31 | 89
ACT Sum of  Netinv.sls |  |  | 8858 | 7668 | 9842 | 26368
ACT Sum of Netinv.qty |  |  | 30 | 28 | 31 | 89
INDIA | Ant | Sum of  Netinv.sls | 198 |  | 198 | 396
 |  | Sum of Netinv.qty | 1 |  | 1 | 2
 | Mono | Sum of  Netinv.sls | 155553 | 227523 | 240248 | 623324
 |  | Sum of Netinv.qty | 770 | 881 | 1344 | 2995
 | Pres | Sum of  Netinv.sls | 37611 | 49900 | 31132.5 | 118643.5
 |  | Sum of Netinv.qty | 51 | 65 | 37 | 153
 | Tor | Sum of  Netinv.sls | 34944 | 51636 | 58604 | 145184
 |  | Sum of Netinv.qty | 56 | 82 | 95 | 233
 | Visco | Sum of  Netinv.sls | 41061 | 64097 | 46170 | 151328
 |  | Sum of Netinv.qty | 709 | 1081 | 811 | 2601
NSW Sum of  Netinv.sls |  |  | 269367 | 393156 | 376352.5 | 1038875.5
NSW Sum of Netinv.qty |  |  | 1587 | 2109 | 2288 | 5984
JAPAN | Mono | Sum of  Netinv.sls | 66802 | 106984 | 127934 | 301720
 |  | Sum of Netinv.qty | 338 | 489 | 584 | 1411
 | Pres | Sum of  Netinv.sls | 1416 | 5248 | 2750 | 9414
 |  | Sum of Netinv.qty | 3 | 8 | 8 | 19
 | Tor | Sum of  Netinv.sls | 18090 | 43520 | 50940 | 112550
 |  | Sum of Netinv.qty | 43 | 75 | 87 | 205
 | Visco | Sum of  Netinv.sls | 19616 | 16039 | 23534 | 59189
 |  | Sum of Netinv.qty | 363 | 305 | 463 | 1131
[NAME] of  Netinv.sls |  |  | 105924 | 171791 | 205158 | 482873
[NAME] of Netinv.qty |  |  | 747 | 877 | 1142 | 2766
SINGAPORE | Ant | Sum of  Netinv.sls |  | 198 | 396 | 594
 |  | Sum of Netinv.qty |  | 1 | 2 | 3
 | Mono | Sum of  Netinv.sls | 205624 | 324375 | 296127 | 826126
 |  | Sum of Netinv.qty | 819 | 1315 | 1209 | 3343
 | Pres | Sum of  Netinv.sls | 5060 | 9598 | 3304.5 | 17962.5
 |  | Sum of Netinv.qty | 9 | 11 | 5 | 25
 | Tor | Sum of  Netinv.sls | 53020 | 99834 | 73740 | 226594
 |  | Sum of Netinv.qty | 87 | 178 | 129 | 394
 | Visco | Sum of  Netinv.sls | 65023.5 | 73614 | 75101.5 | 213739
 |  | Sum of Netinv.qty | 1111 | 1137 | 1292 | 3540
Spreadsheet: 162331d1339798350-treated-cells-is-same-columns-rows-differently-trucking-master
Sheet: Sheet2

 | TRUCK # | DRIVER NAME | TOTAL HOURS | STNDBY HOURS | RGLR HOURS | HOURLY RATE | MILLING LOADS | HOTMIX [NAME] | TONS | [NAME] LOAD | AVRG LOADS HOUR | COST PER TON | COST PER LOAD | TOTAL
 |  |  |  | 2 | 1 | 70
JMT6618 | 231 J&M | ISHMEAL
JMT2644 | 232 J&M | ALFREDO
JMT0941 | 276 J&M | ALVARO
JMT8413 | 277 J&M | MUNDO
[NAME] | 11 SORIANO'S | [NAME]
DAILY TOTALS
AVERAGES
MILLING LOADS | HOTMIX [NAME] | TOTAL [NAME] | TOTAL TONS | TOTAL PAY | COST PER LOAD | COST PER TON | AVERAGE TONS PERLOAD | AVERAGE LOADS PER HOUR
Spreadsheet: 184410d1349259121-automatic-look-up-and-substracting-if-found-match-actual-shorts
Sheet: Sheet1

 | MW
 | Shorts |  | Pick overs |  | Driver overs |  | Actual [NAME]
 | Item | Quantity | Item | Quantity | Item | Quantity | Item | Quantity
 | 222 | 2 | 222 | 1 | 321 | 4 | 222 | 1
 | 321 | 4 | 555 | 5 | 4569 | 2 | 321 | 0
 | 4278 | 3 | 4528 | 3 | 555 | 1 | 4278 | 3
 | 17512 | 1 |  |  |  |  | 17512 | 1
 | 555 | 5 |  |  |  |  | 555 | 0
 | 4569 | 6 |  |  |  |  | 4569 | 4
 | 12789 | 12 |  |  |  |  | 12789 | 12
 | 4528 | 3 |  |  |  |  | 4528 | 0
Spreadsheet: 790809d1660001183-multiple-lookup-to-return-a-result-helpexcel1
Sheet: AUG

 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | AUGUST |  |  | 2022
STATE | NAME
ACT | employee 1
QLD | employee 2 |  |  |  |  |  |  |  |  |  |  | L | L |  |  | L | L | L | L | L |  |  | L | L
VIC | employee 3 | L | L | L | L | L
NSW | employee 4
NSW | employee 5 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | L
QLD | employee 6
QLD | employee 7
VIC | employee 8
Spreadsheet: 104bff07-9f21-4efc-9d25-2f0131b3015f
Sheet: Sheet1

REDEVELOPMENT EQUIVALENT ASSESSED VALUATIONS--2011-12 ESTIMATES | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7
 |  |  | Total
 | TY 2011 |  | School |  | From V:\123\TAX\TAXRATE.WK1;AD10..AD51
 | (FY 2011-12) | Total | District |  | Collection
 | Estimated | Estimate | Actual | Basic | Rate | Equivalent
 | Tax | City/Cnty | Basic | Program | (Five Year | Assessed | Actual
 | Increment | Tax Rate | Program | Dollars | Average) | Valuation | Basic Rate:
 | (Given) | (Given) | Rate | C1X(C3/C2) | (Given) | C4/(C3XC5)
 | (1) | (2) | (3) | (4) | (5) | (6) | 0.001591
01 ALPINE | 19260331 | 0.01220019477629954 | 0.001591 | 2511697 | 1 | 1578690761
02 BEAVER
03 BOX ELDER | 5909064 | 0.01353483466586248 | 0.001591 | 694602 | 0.9646 | 452604213
04 CACHE | 223497.65 | 0.01027 | 0.001591 | 34624 | 1 | 21762414
05 CARBON | 125364 | 0.01240422338151303 | 0.001591 | 16080 | 1 | 10106851
06 DAGGETT
07 DAVIS | 5622674 | 0.0131021323372118 | 0.001591 | 682765 | 0.9847 | 435809941
08 DUCHESNE | 0 | 0.014509 | 0.001591 | 0 | 1 | 0
09 EMERY
10 GARFIELD
11 GRAND | 0
12 GRANITE | 14237892 | 0.01457897633469898 | 0.001591 | 1553778 | 0.9775 | 999084042
13 IRON | 100000 | 0.012572 | 0.001591 | 12655 | 1 | 7954117
14 JORDAN | 11100149 | 0.01292870731528018 | 0.001591 | 1365979 | 0.9978 | 860459321
15 [NAME]
16 KANE
17 MILLARD | 364067 | 0.010903 | 0.001591 | 53126 | 1 | 33391578
18 MORGAN | 44510 | 0.010763 | 0.001591 | 6580 | 1 | 4135764
19 NEBO | 1315515.220000001 | 0.0120996206149557 | 0.001591 | 172979 | 1 | 108723444
20 N SANPETE | 28000 | 0.013259 | 0.001591 | 3360 | 1 | 2111879
21 N SUMMIT | 1e-06
22 PARK CITY | 3928305 | 0.008905 | 0.001591 | 701845 | 1 | 441134507
23 PIUTE
24 RICH | 100759.9 | 0.006777 | 0.001591 | 23655 | 1 | 14868008
25 SAN JUAN
26 SEVIER | 1e-05 | 0.011281 | 0.001591 | 0 | 1 | 0
27 S SANPETE | 1e-06 | 0.014273 | 0.001591 | 0 | 1 | 0
28 S SUMMIT | 1e-06 | 0 | 0.001591 | 0 | 0.9985 | 0
29 TINTIC
30 TOOELE | 7063939 | 0.01161830434889089 | 0.001591 | 967329 | 1 | 608000629
31 UINTAH | 134853 | 0.010821 | 0.001591 | 19827 | 1 | 12461974
32 WASATCH | 32500 | 0.010821 | 0.001591 | 4778 | 0.9651 | 3111742
33 WASHINGTON | 4850000 | 0.01285241237113402 | 0.001591 | 600381 | 0.992 | 380404011
34 WAYNE
35 WEBER | 5046385 | 0.01391398129789939 | 0.001591 | 577031 | 1 | 362684475
36 SALT LAKE | 37850000 | 0.015359 | 0.001591 | 3920786 | 0.9954 | 2475741649
37 OGDEN | 7711215 | 0.017106 | 0.001591 | 717207 | 0.9766 | 461591306
38 PROVO | 4192672 | 0.010815 | 0.001591 | 616786 | 1 | 387671904
39 LOGAN | 3985214 | 0.012107 | 0.001591 | 523703 | 1 | 329165933
40 MURRAY | 1790020 | 0.011289 | 0.001591 | 252274 | 1 | 158563168
42 CANYONS | 14982059 | 0.01453072401517041 | 0.001591 | 1640418 | 0.6572 | 1568869397
TOTAL | 149998985.770013 |  |  | 17674245 | 1 | 11719103028
Spreadsheet: 229801d1366584938-can-some-one-tell-me-whats-wrong-fishing-percentage
Sheet: lewis

lewis
Species | [NAME] | Oz | Dr | Weight in [NAME] | Percentage of Record weight
3-BEARDED ROCKLING | 5
4-BEARDED ROCKLING | 5
5-BEARDED ROCKLING | 5
bass | 5
BLACKMOUTH SPOTTED DOGFISH | 5
BLONDE RAY | 5
BRILL | 5
COAL FISH | 5
cod | 5
CONGER EEL | 5
DAB | 5
FLOUNDER | 5
GREATER SPOTTED DOGFISH (BULL HUSS) | 5
haddock | 5
HORSE MACKEREL/SCAD | 5
LEMON SOLE | 5
LESSER SPOTTED DOGFISH | 5
ling | 5
PLAICE | 5
POLLOCK | 5
poor cod | 5
POUTING | 5
SHORE ROCKLING | 5
SMALL EYED RAY | 5
TADPOLE FISH | 5
THORNBACK RAY | 5
TOPKNOT | 5
TORSK/TUSK | 5
TURBOT | 5
WHITING | 5
Spreadsheet: 1b09c658-948a-4184-a432-a3c62bd9d0a4
Sheet: 8c

Product1 | 0-34 | 3-6 | 6-12 | 12-24 | 24-60 | 60-120 | 120-360 | 360+ | TOTAL
Basis | 0 | 1 | 11 | 47 | 56 | 47 | 89 | 10 | 261
Cap/Floor | 8 | 59 | 17 | 44 | 109 | 29 | 29 | 0 | 295
Debt Option | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
Exotic | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
Fixed-Fixed | 7 | 0 | 3 | 2 | 4 | 1 | 11 | 4 | 32
Fixed-Float | 179 | 89 | 382 | 1850 | 6305 | 6940 | 5220 | 3289 | 24253
FRA | 33 | 292 | 560 | 473 | 3 | 0 | 0 | 0 | 1361
Inflation | 7 | 4 | 23 | 32 | 38 | 10 | 22 | 29 | 165
OIS | 43 | 25 | 74 | 53 | 29 | 15 | 6 | 0 | 245
Swaption | 0 | 0 | 0 | 80 | 329 | 272 | 731 | 188 | 1600
TOTAL | 277 | 470 | 1070 | 2581 | 6873 | 7314 | 6108 | 3520 | 28212
Spreadsheet: 840069d1692383677-looking-for-a-simple-formula-that-can-count-sales-and-half-sales-based-on-text-in-a-column-split-deals-example
Sheet: B-Units

 | DATE | SALES PERSON | CUSTOMER | STOCK NUMBER | BONUS 1 | BONUS 2 | BONUS 3 | FINANCE / CASH | REVIEW?
Spreadsheet: 0b405207-99c7-4a3a-bc47-07e0b78c73c5
Sheet: 7b

Product1 | EUR3 | GBP | [NAME] | USD | AUD | CAD | OTHER | TOTAL
Basis | 623624 | 1765904 | 1851618 | 8227401 | 291787 | 111872 |  | 13040760
Fixed-Float | 63818919 | 11907080 | 16880381 | 72457941 | 3868166 | 3819726 |  | 182874074
FRA | 25272551 | 9074365 | 28466 | 16994395 | 170590 | 52950 |  | 55233404
OIS | 20503657 | 5582777 | 108968 | 5579888 | 826652 | 453076 |  | 33681526
Swaption | 7195274 | 1038157 | 2372692 | 6655473 | 277316 | 10715 |  | 17762238
OTHER* | 5320472 | 893535 | 305798 | 10544579 | 167833 | 33909 |  | 17498916
TOTAL
*OTHER variable includes the following products: Cap/Floor, Debt Option, Exotic, Fixed-Fixed, and Inflation.
Spreadsheet: 4445fe5f-61c7-494c-9168-08899020cdd9
Sheet: CO Grad Pathways

Grant: |  | Colorado Graduation Pathways
CFDA # |  | 84.36
GRANT NUMBER: |  | 5360
FISCAL YEAR: |  | 2011-12
[NAME]: |  | Limited to 15%
Question regarding payments: |  | [NAME]  [PHONE] or [EMAIL]
Questions regarding grant: |  | Marti Rodriguez [PHONE] or [EMAIL]
LAST DAY TO SUBMIT REQUEST FOR THIS GRANT  - October 15, 2012
Code | District/Agency Name | ALLOCATION | PAYMENTS TO DATE | BALANCE | JULY 2011 | AUGUST 2011 | SEPTEMBER 2011 | OCTOBER 2011 | NOVEMBER 2011 | DECEMBER 2011 | JANUARY 2012 | FEBRUARY 2012 | MARCH 2012 | APRIL 2012 | MAY 2012 | JUNE 2012 | JULY 2012 | AUGUST 2012 | SEPTEMBER 2012 | OCTOBER 2012 | NOVEMBER 2012
0010 | [NAME] | 134999 |  |  |  |  |  |  |  | 24826 | 8255 | 13267 | 5938 | 14799 | 5819 | 24779 | 14687 | 480 |  | 9670
0010-NAS | New America Schools | 49982 |  |  |  |  |  |  |  |  |  | 9523 |  | 8775 |  | 9931 |  | 14989
0020 | Adams 12 Five Star Schools | 311910 |  |  |  |  |  |  |  |  | 65645 |  | 41671 |  | 33505 | 33024 |  |  | 35055
0030 | Adams 14 | 99589 |  |  |  |  |  |  |  |  |  |  | 22513 | 6298 | 8927 | 6407 | 22444 |  | 5041 | 18205
0070 | Westminster 50 | 105000 |  |  |  |  |  |  |  | 7461 | 7243 | 18242 | 11027 | 14414 | 6843 | 7832 | 6373 |  | 3765
0120 | Englewood 1 | 136432 |  |  |  |  |  |  |  | 34304 | 6249 | 6333 | 10065 | 3057 | 11899 | 30212 | 16425 | 4482
0130 | [NAME] | 35000 |  |  |  |  |  |  | 6979 |  |  |  |  |  |  |  |  | 25710
0180 | Adams-Arapahoe 28J |  |  |  |  |  |  |  |  |  | 166308 | 48702 | 37838 | 51160 | 36732 | 30646 | 56725 |  |  | 68468
0180-NAS | New America Schools | 55952 |  |  |  |  |  |  |  |  | 3269 | 10647 |  |  | 13921 | 7349 | 5922 |  | 14844
0880-11 | Denver Public Schools |  |  |  |  |  |  |  |  |  |  |  | 41156 |  |  |  | 27261 |  |  | 86329
1010 | Colorado Springs 11 | 97122 |  |  |  |  |  |  |  |  |  | 15606 | 5802 | 511 | 2123 | 1784 |  | 68670
1420 | [NAME] | 295872 |  |  |  |  |  |  |  | 51845 | 20472 | 15482 | 19516 | 22827 | 25655 |  |  |  | 54413 | 12132
1990 | Plateau 50 | 35000 |  |  |  |  |  |  | 2739 | 3870 | 704 | 696 | 1796 | 1267 | 3087 |  |  | 3880 | 5293 | 4940
2000 | Mesa 51 | 35000 |  |  |  |  |  |  | 7000 | 4627 |  | 4118 | 1419 | 2532 | 1000 | 5500 |  | 5000
2035 | [NAME] | 153930 |  |  |  |  |  |  | 17176 | 6694 | 15774 | 9839 | 8801 | 11601 | 15754 | 14712 | 16903 | 6087 | 21451 | 5537
2405 | [NAME] | 70000 |  |  |  |  |  |  |  |  |  |  |  | 31978 | 4205 | 4182 | 13699 | 2339 | 6597
2690 | Pueblo City 60 | 114999 |  |  |  |  |  |  |  |  |  | 11569 | 19817 | 3250 | 44433
3120 | [NAME] 6 | 70000 |  |  |  |  |  |  |  | 4178 | 1063 | 1197 | 11204 | 1140 | 1804 | 1237 | 29402 | 6852 | 6062
3140 | Weld RE-6 | 38170 |  |  |  |  |  |  |  |  |  |  |  |  | 17367 | 2394
Spreadsheet: 836018d1689052805-conditional-formatting-for-dates-based-on-number-of-days-difference-from-another-date-excel-test-data-dates-conditional-formatting-aligw
Sheet: Blank

Name | [NAME] | Step 1 (42 days prior) | Step 2 (35 days prior) | Step 3 (14 days prior)
Adam | 2023-08-11 00:00:00 | 2023-06-01 00:00:00 | 2023-06-25 00:00:00 | 2023-07-14 00:00:00
[NAME] | 2023-07-31 00:00:00 | 2023-06-13 00:00:00 | 2023-06-29 00:00:00 | 2023-07-13 00:00:00
[NAME] | 2023-09-01 00:00:00 | 2023-07-01 00:00:00 | 2023-08-08 00:00:00 | 2023-08-20 00:00:00
[NAME] | 2023-06-30 00:00:00 | 2023-06-01 00:00:00 | 2023-06-13 00:00:00 | 2023-06-15 00:00:00
Spreadsheet: 126338d1319639935-share-data-between-to-excel-workbooks-and-sheets-ledger
Sheet: Sheet1

DATE | TYPE | ITEM # | PAYEE | CATEGORY | MEMO | DEBIT | CREDIT | C | BALANCE
 |  |  |  |  |  |  |  |  | 2500