tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 871699d1718116677-in-need-of-formulas-to-combine-the-data-from-3-sheets-into-1-sheet-overall-list-overall-list
Sheet: A1

S.N. | Identity No. | Category | Discipline | Document Type | Document No. | Rev. No. | Document Title | Created Date | Submitted Date | Created By | Status
1 | A1-1 | Quality Audit Schedule | QA | Report | PM-PD-6000 | 00 | Internal Quality Audit Schedule-1 | 2022-11-24 00:00:00 | 2022-11-27 00:00:00 | SK817811 | Closed
2 | A1-2 | Quality Audit Schedule | QA | Report | PM-PD-6004 | 00A | Internal Quality Audit Schedule-2 | 2023-06-05 00:00:00 | 2023-06-20 00:00:00 | JC752585 | Closed
3 | A1-3 | Quality Audit Schedule | QA | Report | PM-PD-6007 | 01 | Internal Quality Audit Schedule-3 | 2024-01-29 00:00:00 | 2024-01-29 00:00:00 | AR419672 | Open
4 | A1-4 | Quality Audit Schedule | QA | Report | PM-PD-6008 | A4 | Internal Quality Audit Schedule-4 | 2024-05-11 00:00:00 | 2024-05-11 00:00:00 | AU034083 | Open
Spreadsheet: 1686ca1e-da03-4ff3-ba0d-a7fe2b479865
Sheet: S2

Table S2. Validation of SNPs using Roche-454 whole-genome sequencing data
 | number of SNPs * | ambiguous ** | no 454  coverage | confirmed | rejected | % confirmed /  (confirmed + rejected) | % rejected /  (confirmed + rejected)
DGRP-208 | 678615 | 10681 | 70997 | 591235 | 5702
DGRP-301 | 716489 | 40971 | 71282 | 590510 | 13726
DGRP-303 | 609435 | 9622 | 94910 | 489456 | 15447
DGRP-304 | 667220 | 8809 | 116330 | 534510 | 7571
DGRP-306 | 670107 | 15881 | 83741 | 560677 | 9808
DGRP-307 | 654469 | 8261 | 96078 | 542747 | 7383
DGRP-313 | 687070 | 7616 | 121942 | 551261 | 6251
DGRP-315 | 672853 | 12747 | 73260 | 580028 | 6818
DGRP-324 | 657771 | 8619 | 95699 | 546180 | 7273
DGRP-335 | 662498 | 7991 | 103311 | 543300 | 7896
DGRP-357 | 666215 | 12644 | 101658 | 544152 | 7761
DGRP-358 | 701717 | 10652 | 99629 | 583333 | 8103
DGRP-360 | 632435 | 5570 | 100085 | 516810 | 9970
DGRP-362 | 663555 | 7313 | 99002 | 552099 | 5141
DGRP-365 | 664541 | 9007 | 104257 | 546090 | 5187
DGRP-375 | 681269 | 16823 | 97389 | 561293 | 5764
DGRP-379 | 664857 | 8794 | 122570 | 528032 | 5461
DGRP-380 | 664363 | 12290 | 105145 | 541170 | 5758
DGRP-391 | 688471 | 14847 | 78951 | 589365 | 5308
DGRP-399 | 668461 | 8927 | 86034 | 567864 | 5636
DGRP-427 | 671769 | 8957 | 73076 | 583472 | 6264
DGRP-437 | 665432 | 7181 | 104632 | 547417 | 6202
DGRP-486 | 640034 | 6538 | 119170 | 507868 | 6458
DGRP-517 | 685364 | 11355 | 90784 | 576762 | 6463
DGRP-555 | 666991 | 8977 | 80899 | 571781 | 5334
DGRP-639 | 662679 | 8105 | 74186 | 574956 | 5432
DGRP-705 | 668207 | 8030 | 86139 | 568379 | 5659
DGRP-707 | 662782 | 9513 | 95490 | 552486 | 5293
DGRP-712 | 654379 | 8284 | 73722 | 566972 | 5401
DGRP-714 | 668101 | 18136 | 83831 | 558056 | 8078
DGRP-730 | 659916 | 6881 | 97315 | 551013 | 4707
DGRP-732 | 664917 | 32738 | 78849 | 537880 | 15450
DGRP-765 | 660808 | 7354 | 79706 | 568616 | 5132
DGRP-774 | 634402 | 20153 | 74816 | 519666 | 19767
DGRP-786 | 693439 | 8062 | 112241 | 566677 | 6459
DGRP-799 | 657310 | 7584 | 84199 | 560680 | 4847
DGRP-820 | 663413 | 7792 | 135944 | 514397 | 5280
DGRP-852 | 690296 | 11344 | 60591 | 613524 | 4837
DGRP-859 | 651641 | 7798 | 80187 | 558396 | 5260
Total
* including di-nucleotide substitutions represented as pairs of consecutive SNPs
** SNPs for which genotyping revealed that the opposing number of (Illumina) reads is half or more the supporting number of reads (i.e. likely segregating)
Spreadsheet: 180692d1347704321-lookup-specific-text-above-our-cell-looking-koi-oeldere-
Sheet: Sheet2

desc | value 1 | value 2 | value
a | 1 | 2 | 3 |  |  |  |  |  |  | 1
a | 2 | 4 | 6 |  |  |  |  |  |  | 2
a | 3 | 6 | 9 |  |  |  |  |  |  | 3
a | 4 | 8 | 12 |  |  |  |  |  |  | 4
a | 5 | 10 | 15 |  |  |  |  |  |  | 5
a | 6 | 12 | 18 |  |  |  |  |  |  | 6
b | 6 | 12 | 18 | if [NAME] look at A8 and found out that is not a..then it will search above the colum A8 to find latest "a", in this case is A7 so it will use same value as B7 |  |  |  |  |  | 1
b | 6 | 12 | 18 |  |  |  |  |  |  | 2
a | 7 | 14 | 21 | if B10 look at A10 and found out that it is "a", then it will search above the column A10 to find latest "a", in this case is A7, then when it found..it will sum B7 value with 1 |  |  |  |  |  | 7
 |  |  |  |  |  |  |  |  |  | 0
 |  |  |  | bottom line : both using same princip..looking for "a", if find there is an "a" then lookup latest "a" in that column and SUM the value,
 |  |  |  | if not find "a" then lookup latest "a" but using the same value as the latest "a"
Spreadsheet: 95473d1295040026-excel-2007-secondary-x-axis-with-quarter-values-chart-with-2-x-axis
Sheet: Sheet1

Q1-05 | J | 100
 | F | 105
 | M | 122
Q2-05 | A | 134
 | M | 126
 | J | 131
Q3-05 | J | 115
 | A | 147
 | S | 139
Q4-05 | O | 122
 | N | 109
 | D | 131
Spreadsheet: 174796d1345194514-conditional-formatting-to-highlight-duplicates-based-on-yes-or-no-in-another-column-copy-of-example-file-for-ef
Sheet: Sheet1

Route | Name | Active
1 | [NAME] | Yes
2 | Clive | Yes
3 | Ger | Yes
4 | Donal | Yes
5 | [NAME] | No
5 | Mick | Yes
6 | [NAME] | Yes
7 | [NAME] | Yes
8 | [NAME] | Yes
8 | Dermot | Yes
9 | [NAME] | Yes
Spreadsheet: 4bafa35e-13c1-4a70-b61f-57bccc96dba2
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
DOXP | Test | DOXP | [NAME] and Nordoxepin, Serum | [NAME] and Nordoxepin, S | High-Performance Liquid Chromatography (HPLC) | Plain, Red-Top Tube: Red |  |  | 3 | mL | Container/Tube: Red top [NAME]: 3 mL Collection Instructions:  1. Draw specimen immediately before next scheduled dose (or at a minimum 12 hours after last dose).  2. Serum must be separated from cells within 2 hours of draw. | 1.1 mL | Hemolysis	Mild OK; Gross reject Thawing	Warm OK; Cold OK Lipemia	Mild OK; Gross reject Icterus	Mild OK; Gross reject Other	Serum gel tube | Therapeutic concentration ([NAME]): 50-150 ng/mL Toxic concentration ([NAME]): > or =300 ng/mL | Monday through Saturday; Varies | 2 days | 4 days |  | Profile |  |  |  |  | Rochester
DOXP | [NAME] | SRED | Serum Red |  |  |  | Refrigerated | 14 days
DOXP | Result | 9301 | [NAME] | [NAME] | Numeric |  |  |  |  | ng/mL |  |  |  |  |  |  |  |  |  | 3579-0 | Doxepin:MCnc:Pt:Ser/Plas:Qn:
DOXP | Result | 2464 | Nordoxepin | Nordoxepin | Numeric |  |  |  |  | ng/mL |  |  |  |  |  |  |  |  |  | 3862-0 | Nordoxepin:MCnc:Pt:Ser/Plas:Qn:
DOXP | Result | 2470 | [NAME] and Nordoxepin | [NAME] and Nordoxepin | Numeric |  |  |  |  | ng/mL |  |  |  |  |  |  |  |  |  | 3582-4 | Doxepin+Nordoxepin:MCnc:Pt:Ser/Plas:Qn:
DOXP | Billing Component | DOXP |  | Quantitation of drug |  |  |  |  |  |  |  |  |  |  |  |  |  | 1 | 80299
DOXP | Billing Component | DOXP |  | [NAME] |  |  |  |  |  |  |  |  |  |  |  |  |  | 1 | 80166
Spreadsheet: 776543d1649780562-automatic-ranking-standings-bouwcenter-poule-f1-2022-v1a
Sheet: Standings B

# | Name | Total points | Points behind
 | [NAME] |  | Leader | Previous |  |  | Leader | Previous
 | [NAME]
 | [NAME]
 | [NAME]
 | [NAME]
 | Cor
 | Marcel
 | Karel
 | Floor
 | Jan
 |  |  | 256
 |  |  | 131
Spreadsheet: 04ee76f2-efdb-4fc8-a540-8bde2dc353f7
Sheet: 4.2(EA) Major Group Enroll-Grad

Institution
Indicator 4: Student Enrollment and Graduation by Major Group
Table 4.2(EA): Major Group Fall Enrollment, Graduation & Post-Graduate / AY 2010-11
 | Major Group | EA - Education - Paraprofessional
 | Please enter the number of students enrolled in this major group for the fall semester.
 |  |  |  |  | Fall 2010 (October 15, 2010)
 | Fall Enrollment (Snapshot) |  | American Indian |  | Non-Indian
 |  |  | M | F | M | F | Total
 |  | Full Time | 8 | 43 | 0 | 0
 |  | Part Time | 10 | 54 | 0 | 14
 |  | Total
 | Please enter the number of diploma, certificates, and degrees earned in this major group.  Also enter the number of students graduating with degrees who earned a GPA of 3.0 or above, and the number who were admitted to a 4 year (Associate degree graduates), or graduate school (Bachelor's degree graduates).  Lastly, enter the number of all graduating students(certificate or degree) who secured employment after graduation.
 |  |  |  |  | July 1, 2010- June 30, 2011
 | Graduation |  | American Indian |  | Non-Indian
 |  |  | M | F | M | F | Total
Apprenticeship/Occupational Program |  |  | na | na | na | na
Diploma |  |  | na | na | na | na
Certificate |  |  | 0 | 0 | 0 | 0
Associate Degree |  |  | 3 | 29 | 0 | 1
 | Assoc. graduates admitted to four-year program |  | 0 | 0 | 0 | 0
 | [NAME]. graduated with a GPA of 3.0 or above |  | 2 | 18 | 0 | 1
Bachelor's Degree |  |  | na | na | na | na
 | [NAME]. graduates admitted to graduate school |  | na | na | na | na
 | [NAME]. graduated with a GPA of 3.0 or above |  | na | na | na | na
Master's Degree |  |  | na | na | na | na
Employed after graduation |  |  | m | m | m | m
Notes:
na = not offered; m = not tracked;
Spreadsheet: 125728d1319200137-if-formula-referencing-another-if-formula-returns-value-error-copy-of-nominal-charges
Sheet: Nov11

Date: | RO Ref: | Acumen Ref: | Quantity: | Item: | Price: | Net: | VAT: | Gross:
Spreadsheet: 864858d1711990609-automatically-add-range-and-divide-by-number-mrpj-example
Sheet: Sheet3

Initial Deposit | 500
 | Date | Balance | Net Change | Net Change % | Result | Stake | Odds | Return | Profit | Risk | Reward | RRR | RRR Ave
 | 2024-03-24 00:00:00 |  |  |  | l | -50 | 2
 | 2024-03-26 00:00:00 |  |  |  | w | -50 | 2.5
 | 2024-03-27 00:00:00 |  |  |  | w | -50 | 1.5
 | 2024-03-28 00:00:00 |  |  |  | l | -50 | 2
 | 2024-03-28 00:00:00 |  |  |  | W | -50 | 2.2
Spreadsheet: 44959d1243726064-custom-blank-entry-vg_sample
Sheet: Lists

[Sys] | [Experience] | [Quality] | [[NAME]] | [[NAME]] | [Ownership] | [Status] | <- DEFAULT VALUES
PS3 | Limited info | Amazing | Action | 2D | Own It | Beat It
PSN | Trailer | Awesome | Adventure | 3D | Bought It | Playing It
Wii | Previews | Great | Arcade | Action | Want it! | Off and On
Ware | Reviews | Good | Compilation | Adventure | Unsure | Backlog Priority
PSP | Demo | Okay | Fighting | Arcade | Don't want it | Backlog
DS | Beta | Disappointing | Miscellaneous | Band |  | Way Backlog
PC | Bought It | Bad | MMO | Baseball
SNES | Own It | Terrible | Music/Rhythm | Basketball
PS2 | Off and On |  | Open-World | Classic
GCN | Playing It |  | Platforming | Compilation
GBA | Played It |  | Puzzle | Extreme
360 | Beat It |  | Racing | First-Person
XBLA |  |  | RPG | Football
Multi |  |  | Shooting | Guitar
 |  |  | Simulation | Horror/Survival
 |  |  | Sports (Arc) | Mini-Games
 |  |  | Sports ([NAME]) | Online
 |  |  | Strategy | Open-World
 |  |  |  | Other
 |  |  |  | Point-n-Click
 |  |  |  | Puzzle
 |  |  |  | Real-Time
 |  |  |  | RPG
 |  |  |  | Shooting
 |  |  |  | Simulation
 |  |  |  | Soccer
 |  |  |  | Strategy
 |  |  |  | Third-Person
 |  |  |  | Tower Defense
 |  |  |  | Turn-Based
Spreadsheet: 216800d1361892391-filter-through-multiple-tabs-to-show-in-new-tab-wawf-gfebs-invoices-fy13-plan-b
Sheet: W912LP-11-P-0040

CONTRACT # | PO # | CAGE CODE | PAYMENT NUMBER | LINE ITEM # | LINE ITEM QUANTITY | WAWF INV # | DATE INV SUBMITTED | DATE INV RECEIVED | DOC DATE | AMOUNT | OUR STATUS | GFEBS # | 103 | 103 DATE | 105 | 105 DATE | DOV  # (Disbursing #) | DOV DATE | INTEREST  ? | TRACE #
W912LP-11-P-0040 |  |  | 1P
W912LP-11-P-0040 |  |  |  |  |  |  |  |  | TOTAL
RETURN
Spreadsheet: 837997d1690579145-get-values-from-connected-columns-in-excel-based-on-multiple-criteria-28072023-excel-forum-solution-
Sheet: Solution

Result columns
GOPENH | EWS | Fileds | Data field
 |  | 1003 - Government College of Pharmacy 10031 - Pharm D ( Doctor of Pharmacy) |  | GOPENH |  | GSCH |  | GSTH |  | GVJH |  | GNT1H | GNT2H | GOBCH | LOPENH | LSCH | [NAME] | PWDOPENH | PWDRSCH
 |  | 1003 - Government College of Pharmacy 10031 - Pharm D ( Doctor of Pharmacy) |  | 2743 (96.1745367) |  | 4497 (94.1671647) |  | 9109 (89.3679174) |  | 2848 (96.0660092) |  | 3478 (95.3035568) | 4410 (94.2772446) | 4288 (94.3395273) | 1421 (97.8307797) | 4054 (94.6439628) | 3662 (95.0597286) | 16794 (81.2142273) | 17491 (80.4712960)
 |  | 1003 - Government College of Pharmacy 10031 - Pharm D ( Doctor of Pharmacy)
 |  | State Level |  | DEFOPENS |  | EWS
 |  | State Level |  | 4890 |  | 1249
 |  | State Level |  | -93.7076961 |  | -98.0573819
 |  | State Level
 |  | 1003 - Government College of Pharmacy 10031 - Pharm D ( Doctor of Pharmacy) |  | GOPENH |  | GSCH |  | GSTH |  | GVJH |  | GNT1H | GNT2H | GNT3H | GOBCH | LOPENH | LSCH | LSTH | [NAME] | PWDOPENH | PWDROBCH
 |  | 1003 - Government College of Pharmacy 10031 - Pharm D ( Doctor of Pharmacy) |  | 946 (98.4409244) |  | 2395 (96.6092771) |  | 12246 (85.7120925) |  | 1468 (97.7839057) |  | 2283 (96.7401872) | 1454 (97.7984245) | 1674 (97.4944320) | 1071 (98.2424768) | 623 (98.8942020) | 2197 (96.8146159) | 9199 (89.0749561) | 672 (98.8214555) | 10066 (88.0979149) | 13279 (84.6831342)
 |  | 1003 - Government College of Pharmacy 10031 - Pharm D ( Doctor of Pharmacy)
 |  | State Level |  | DEFOPENS |  | TFWS |  | DEFROBCS |  | EWS |  | ORPHAN
 |  | State Level |  | 3101 (95.7300057) |  | 316 (99.3722764) |  | 4880 (93.7076961) |  | 1021 (98.3387194) |  | 49705 (36.3808258)
 |  | State Level
 |  | 1115 - Mandela's Institute of Pharmacy |  | GOPENH |  | GSCH |  | GSTH |  | GVJH |  | GNT1H | GNT2H | GNT3H | GOBCH | LOPENH | LSCH | LSTH | [NAME]
 |  | 1115 - Mandela's Institute of Pharmacy |  | 10006 (88.1048795) |  | 15353 (82.5723830) |  | 16484 (81.6073162) |  | 10265 (87.9411764) |  | 11934 (86.1344749) | 15159 (82.9026150) | 42866 (49.8329621) | 12909 (85.1325805) | 3578 (95.2218601) | 13648 (84.4789798) | 31102 (66.0248119) | 5984 (92.4743268)
 |  | 1115 - Mandela's Institute of Pharmacy
 |  | State Level |  | DEFOPENS |  | TFWS |  | EWS
 |  | State Level |  | 11530 |  | 5516 |  | 6729
 |  | State Level |  | -86.5205507 |  | -93.0508899 |  | -91.7036962
 |  | State Level
Spreadsheet: 749001d1632455652-optimize-value-while-staying-in-budget-optimize-value-without-going-over-cost-using-solver
Sheet: Feuil1

List A |  |  |  | List B |  |  |  | List C
Items | Value | Cost |  | Items | Value | Cost |  | Items | Value | Cost
A | 110 | 100 | 1 | Q | 150 | 150 | 1 | W | 125 | 110 | 0
B | 90 | 75 | 1 | R | 115 | 100 | 1 | X | 100 | 100 | 0
C | 85 | 74 | 0 | S | 100 | 90 | 1 | Y | 75 | 30 | 1
D | 70 | 70 | 0 | T | 50 | 60 | 0 | Z | 50 | 10 | 1
E | 60 | 50 | 0 | U | 45 | 50 | 0
F | 45 | 40 | 0 | V | 30 | 10 | 1
G | 40 | 30 | 0
H | 39 | 30 | 0
I | 35 | 30 | 0
J | 34 | 20 | 0
K | 33 | 10 | 1
L | 20 | 9 | 1
M | 19 | 8 | 1
N | 18 | 7 | 1
O | 17 | 6 | 0
P | 15 | 5 | 0
 | value | cost | Count |  | value | cost | count |  | value | cost | count
 | Total Value
 | Total cost
 | Value / cost
Spreadsheet: 717258d1612543577-index-and-match-from-table-with-drop-down-list-book
Sheet: Programs List

 | Code | Program | hours | Number | Type
 | ww2 | Program A | 50 | 63.33 | BBC
 | [NAME] | Program BB | 33 | 47.95 | ADS
 | 3dd | Program CC | 55 | 55.57 | EDV
Spreadsheet: 36039104-918f-4c9f-af21-ebbbffb72d64
Sheet: Sheet1

Table 1--Wheat: U.S. market year supply and disappearance, 11/13/2013 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9
Item and unit |  |  | 2007/08 | 2008/09 | 2009/10 | 2010/11 | 2011/12 | 2012/13 | 2013/14
 | Area: Planted | Million acres | 60.46 | 63.193 | 59.168 | 53.593 | 54.409 | 55.666 | 56.156
 | Harvested | Million acres | 50.999 | 55.699 | 49.893 | 47.619 | 45.705 | 48.921 | 45.157
 | Yield | Bushels per acre | 40.2 | 44.9 | 44.5 | 46.3 | 43.7 | 46.3 | 47.2
 | Supply: Beginning stocks | Million bushels | 456.153 | 305.818 | 656.505 | 975.637 | 862.246 | 742.62 | 717.889
 | Production | Million bushels | 2051.088 | 2499.164 | 2218.061 | 2206.916 | 1999.347 | 2266.027 | 2129.695
 | Imports 1/ | Million bushels | 112.631 | 126.971 | 118.59 | 96.92 | 112.069 | 122.756 | 150
 | Total supply | Million bushels | 2619.872 | 2931.953 | 2993.156 | 3279.473 | 2973.662 | 3131.403 | 2997.584
 | Disappearance: Food use | Million bushels | 947.865 | 926.769 | 918.92 | 925.641 | 941.387 | 945.028 | 950
 | Seed use | Million bushels | 87.615 | 78.045 | 69.471 | 70.889 | 76.199 | 73.014 | 73
 | Feed and residual use | Million bushels | 15.962 | 255.219 | 149.831 | 129.251 | 162.372 | 388.11 | 310
 | Total domestic use | Million bushels | 1051.442 | 1260.033 | 1138.222 | 1125.781 | 1179.958 | 1406.152 | 1333
 | Exports 1/ | Million bushels | 1262.612 | 1015.415 | 879.297 | 1291.446 | 1051.084 | 1007.362 | 1100
 | Total disappearance | Million bushels | 2314.054 | 2275.448 | 2017.519 | 2417.227 | 2231.042 | 2413.514 | 2433
 | Ending stocks | Million bushels | 305.818 | 656.505 | 975.637 | 862.246 | 742.62 | 717.889 | 564.584
 | Stocks-to-use ratio |  | 13.2157 | 28.8517 | 48.3583 | 35.6709 | 33.2858 | 29.7446 | 23.2053
 | Loan rate | Dollars per bushel | 2.75 | 2.75 | 2.75 | 2.94 | 2.94 | 2.94 | 2.94
 | Contract/direct payment rate | Dollars per bushel | 0.52 | 0.52 | 0.52 | 0.52 | 0.52 | 0.52 | 0.52
 | Farm price 3/ | Dollars per bushel | 6.48 | 6.78 | 4.87 | 5.7 | 7.24 | 7.77 | 6.70-7.30
 | Government payments | Million dollars | 1118
 | Market value of production | Million dollars | 13289.326 | 16625.759 | 10654.115 | 12827.254 | 14322.909 | 17607.0298 | 14907.865
Latest market year is projected; previous market year is estimated. Totals may not add due to rounding. 1/ Includes flour and selected other products expressed in grain-equivalent bushels. 2/ Stocks owned by USDA's Commodity Credit Corporation (CCC). Most CCC-owned inventory is in the Bill Emerson Humanitarian Trust.
3/ U.S. season-average price based on monthly prices weighted by monthly marketings. Prices do not include an allowance for loans outstanding and government purchases. Source: USDA, World Agricultural Outlook Board, World Agricultural Supply and Demand Estimates and supporting materials.
Date run: 11/12/2013
Spreadsheet: 56797d1256906881-formula-to-make-cell-blank-instead-of-zero-book1
Sheet: Sheet1

AVAILABLE | AWAY | LOST
1 | 0 | No Charge? | What I want the results to actually be.
1 | 1 | 0
0 | 1 | 1
2 | 1 | Neg Charge?
1 | 0 |  | The Results I am actually getting.
1 | 1
0 | 1
2 | 1
1 | 0
1 | 1
0 | 1
2 | 1
Spreadsheet: 260b9a44-42e8-4da9-b08f-4cd3c5c6190f
Sheet: Comparison to Option 1

 | Outcomes-Based Funding Comparisons to Option 1 - With Phase-In
 |  |  |  |  | Option2 |  |  |  | Option 6 |  |  |  | Option 7 |  |  |  | Option 8 |  |  |  | Option 9 |  |  |  | Option 10
FICE |  |  | Option 1 - As proposed for 2014-2015 |  | Option 2 - Option 1 Scaled, Weighted, and Monetized by Accountability Group | Difference From  Option 1 | Percent |  | Option 6 - Option 2 without Monetization, At-Risk Weight of 1 | Difference From  Option 1 | Percent |  | Option 7 - Option 6 with Optimal Weights | Difference From  Option 1 | Percent |  | Option 8 - Option 7 with Student Characteristic Adjusted (SAT or GPA) | Difference From  Option 1 | Percent |  | Option 9 - Option 7 with Transfer Grads | Difference From  Option 1 | Percent |  | Option 10 - Option 7 with Modified Scaling | Difference From  Option 1 | Percent
3656 | UTA
3658 | UT
9741 | UTD
3661 | UTEP
3599 | UTPA
30646 | UTB
9930 | [NAME]
10115 | UTSA
11163 | UTT
3632 | TAMU
10298 | TAMUG
3630 | Prairie View
3631 | Tarleton
103631 | TAMUCT
11161 | TAMUCC
3639 | TAMUK
103639 | TAMUSA
9651 | TAMI
3665 | WTAMU
3565 | TAMUC
29269 | TAMUT
3652 | UH
11711 | UHCL
12826 | UHD
13231 | UHV
3592 | Midwestern
3594 | UNT
113594 | UNTD
3624 | SFA
3642 | TSU
3644 | TTU
3541 | [NAME]
3646 | TWU
3581 | Lamar
3606 | SHSU
3615 | TXST
3625 | SRSU
20 | SRRG
 | Total
Spreadsheet: 36477d1234361412-moving-rows-to-anoter-worksheet-based-on-certain-criteria-kpi-1-
Sheet: Louise

Address Book Entry | Close Date | Number of Analyzers required | Total Capital | Annual Number of Cartridges | Annual Cartridge Revenue | Status | Confidence Rating | Revenue
Wellington Hospital | 2009-10-10 00:00:00 | 1 | 9720 | 2200 | 27000 | New | 4 Confident | 36720
Waikato Hospital | 2009-11-10 00:00:00 | 3 | 29160 | 1500 | 10800 | New | 4 Confident | 39960
 |  |  |  |  |  |  |  | 1000000
 |  | 4 | 38880 |  | 37800 |  | 0 | 1076680
 |  |  |  |  |  |  | 0
 |  |  |  |  |  |  | 0
 |  |  |  |  |  |  | 2 | 0
 |  |  |  |  |  |  | 0 | 0
 |  |  |  |  |  |  |  | 1
 |  |  |  |  |  |  |  | 0
 |  |  |  |  |  |  |  | 0
Spreadsheet: 674620d1587955078-how-to-copy-a-row-based-an-input-into-a-specific-cell-and-paste-to-another-sheet-test-log-book
Sheet: THR

Date | NUMBER | NAME | Age | DOB | M/F | Diag | Side | Procedure | MBS | Complication | HOSPITAL | Column1 | Column2 | Column3 | Column4 | Column5
 | 0 | 0 | 52 | 0 | M | OA Hip | L | THR | 0 | 0 | 0 | 52 cup | N7 127 | -5 cer hd | no sb | 0
2019-09-08 00:00:00 | 0 | 0 | 71 | 0 | F | OA Hip | L | THR | 0 | 0 | 0 | 50 cup | 44 N1 | -2.5 cer | no sb | 0
13/8/2019 | 0 | 0 | 58 | 0 | F | OA Hip | R | THR | 0 | 0 | 0 | 50 cup | N3 127 | +2.5 | no sb | 0
14/8/2019 | 0 | 0 | 85 | 0 | F | OA Hip | L | THR | 0 | 0 | 0 | 48 cup | 37.5 N1 | -5 | no sb | 0
23/8/2019 | 0 | 0 | 74 | 0 | M | OA Hip | L | THR | Robotic | 0 | 0 | 54 cup | N3 127 | +2.5 | no sb | 0
29/8/2019 | 0 | 0 | 59 | 0 | F | OA Hip | R | THR | 0 | 0 | 0 | 50 cup | N3 127 | -2.5 | no sb | 0
30/8/2019 | 0 | 0 | 74 | 0 | F | OA Hip | R | THR | 0 | 0 | 0 | 48 cup | 37.5 | -5 | no sb | 0
30/8/2019 | 0 | 0 | 58 | 0 | M | OA Hip | L | THR | 0 | 0 | 0 | 54 cup | 50 N1 | -2.5 | no sb | 0
2019-03-09 00:00:00 | 0 | 0 | 66 | 0 | M | OA Hip | R | THR | 0 | 0 | 0 | 64 cup | 50 N1 | [NAME] | no sb | 0
2019-06-09 00:00:00 | 0 | 0 | 68 | 0 | M | OA Hip | L | THR | 0 | 0 | 0 | 56 cup | N7 127 | -5 | no sb | 0
2019-06-09 00:00:00 | 0 | 0 | 48 | 0 | M | OA Hip | L | THR | 0 | 0 | 0 | 54 cup | N8 132 | std cer hd | no sb | 0
26/9/2019 | 0 | 0 | 64 | 0 | F | OA Hip | L | THR | 0 | 0 | 0 | 50 cup | N3 127 | -5 cer | no sb | 0
2019-03-10 00:00:00 | 0 | 0 | 85 | 0 | M | OA Hip | R | THR | 0 | 0 | 0 | 58 cup | 44 N1 | -2.5 cer | NoSB | 0
2019-10-10 00:00:00 | 0 | 0 | 73 | 0 | F | OA Hip | R | THR | 0 | 0 | 0 | 50 cup | N3 127 | [NAME] | NoSB | 0
18/10/2019 | 0 | 0 | 68 | 0 | F | OA Hip | R | THR | 0 | 0 | 0 | 52 hemi | N4 127 | -5 | NoSB | ROBOTIC
19/10/2019 | 0 | 0 | 82 | 0 | M | OA Hip | R | THR | 0 | 0 | 0 | 56 cup | 44 0 stem | std metal hd | NoSB | ROBOTIC
24/10/2019 | 0 | 0 | 48 | 0 | M | OA Hip | R | THR | 0 | 0 | 0 | 54 cup | N4 127 | std cer hd | NoSB | 0
24/10/2019 | 0 | 0 | 58 | 0 | M | OA Hip | L | THR | 0 | 0 | 0 | 54 cup | N4 127 | -5 cer | NoSB | 0
Spreadsheet: 25c586e6-c92d-4cfc-aad7-f6ad0e34ebbf
Sheet: Sheet1

Table 6--Wheat: National average prices received by farmers by class (dollars per bushel), 6/14/2012 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8
Month | Hard red winter |  | Soft red winter |  | Hard red spring |  | White
 | 2010/11 | 2011/12 | 2010/11 | 2011/12 | 2010/11 | 2011/12 | 2010/11 | 2011/12
June | 3.94 | 7.2 | 4.5 | 7 | 4.59 | 9.34 | 4.28 | 6.94
July | 4.38 | 6.97 | 4.77 | 6.5 | 4.72 | 8.45 | 5.26 | 6.72
August | 5.42 | 7.4 | 5.75 | 7.08 | 5.49 | 8.39 | 5.52 | 6.79
September | 5.82 | 7.27 | 5.89 | 6.93 | 6.03 | 8.16 | 5.54 | 6.59
October | 6.09 | 6.83 | 6.12 | 6.63 | 5.96 | 8.39 | 5.76 | 6.06
November | 6.15 | 6.63 | 5.46 | 6.24 | 6.41 | 8.69 | 5.88 | 6.07
December | 6.51 | 6.54 | 6.73 | 6.58 | 6.64 | 8.44 | 6.07 | 6.12
January | 6.5 | 6.72 | 6.31 | 6.87 | 7.22 | 8.36 | 6.05 | 6.15
February | 7.07 | 6.73 | 7.11 | 7.13 | 7.7 | 8.21 | 6.78 | 6.43
March | 7.1 | 6.71 | 6.7 | 6.69 | 8.12 | 8.12 | 6.65 | 6.58
April | 7.5 | 6.43 | 7.27 | 6.67 | 8.75 | 8.05 | 7.06 | 6.54
May | 8 |  | 7.09 |  | 8.95 |  | 7.22
Source: USDA, National Agricultural Statistics Service, Agricultural Prices.
Date run: 6/15/2012