tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 717625d1612775970-list-of-nearest-locations-in-a-lookup-to-a-given-lat-and-long-local-radius-locations
Sheet: Lookup

 |  |  |  |  | Nearest |  |  |  | Local Radius
 |  | Lat | Long |  | ID | Dist | Cluster |  | ID | Dist | Cluster
 | Lookup | 52.71234 | -1.78945 |  | 24 | 0.8 | Cluster 3 |  | 5 | 1.38 | Cluster 3
 |  |  |  |  |  |  |  |  | 17 | 1.41 | Cluster 3
 |  |  |  |  |  |  |  |  | 18 | 1.83 | Cluster 3
 |  |  |  |  |  |  |  |  | 22 | 2.45 | Cluster 3
 |  |  |  |  |  |  |  |  | 41 | 3.03 | Cluster 3
 |  |  |  |  |  |  |  |  | 43 | 3.42 | Cluster 3
 |  |  |  |  |  |  |  |  | 49 | 3.42 | Cluster 3
 |  |  |  |  |  |  |  |  | 65 | 4.83 | Cluster 3
 |  |  |  |  |  |  |  |  | 87 | 5.95 | Cluster 3
 |  |  |  |  |  |  |  |  | 92 | 7.81 | Cluster 3
 |  |  |  |  |  |  |  |  | 97 | 8.36 | Cluster 3
 |  |  |  |  |  |  |  |  | 100 | 8.84 | Cluster 3
 |  |  |  |  |  |  |  |  | 102 | 9.31 | Cluster 3
 |  |  |  |  |  |  |  |  | 121 | 9.73 | Cluster 3
 |  |  |  |  |  |  |  |  | 145 | 9.88 | Cluster 3
 |  |  |  |  |  |  |  |  | 162 | 11.83 | Cluster 3
 |  |  |  |  |  |  |  |  | 177 | 12.18 | Cluster 3
 |  |  |  |  |  |  |  |  | 202 | 12.78 | Cluster 3
 |  |  |  |  |  |  |  |  | 212 | 12.88 | Cluster 3
 |  |  |  |  |  |  |  |  | 215 | 14.34 | Cluster 3
Spreadsheet: 167201d1341926928-excel-2003-look-up-name-on-s1-w-adjacent-value-cell-and-matching-name-to-value-on-s2-excel-name-supervisor-matching
Sheet: Names

Name
Abney, [NAME]
Abney, [NAME]
Abney, [NAME]
Abney, [NAME]
Smith, [NAME]
Smith, [NAME]
Smith, [NAME]
Rivers, [NAME]
[NAME], [NAME]
[NAME], [NAME]
[NAME], [NAME]
[NAME], [NAME]
Solo, Hope
Solo, Hope
Solo, Hope
Solo, Hope
Solo, Hope
[NAME], Lionel
[NAME], Lionel
[NAME], Lionel
[NAME], Lionel
Trash, Tommy
Trash, Tommy
Trash, Tommy
Trash, Tommy
Spreadsheet: f6a29afc-a7f3-4a75-b40e-55e1261acf98
Sheet: Sheet1

인구 및 세대현황 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9
작성기준 : 2007. 6월말 현재
행정기관 | 인 구 수 |  |  | [NAME] |  |  | 성 비 | 세대수 | 세대당인구
 | 계 | 남 | 여 | 계 | 남 | 여
전국 | 49134055 | 24627844 | 24506211 | 100 | 50.1237766758718 | 49.8762233241282 | 100.496335398402 | 18549649 | 2.64878623848893
서울 | 10196802 | 5067753 | 5129049 | 20.7530235393761 | 10.3141354809816 | 10.4388880583945 | 98.8049246556233 | 4027280 | 2.53193271885739
부산 | 3601519 | 1793162 | 1808357 | 7.3299852821022 | 3.64952984238732 | 3.68045543971488 | 99.1597344993273 | 1297036 | 2.77673017556953
대구 | 2496273 | 1250187 | 1246086 | 5.08053528250416 | 2.54444091781149 | 2.53609436469268 | 100.329110510832 | 880953 | 2.83360519800716
인천 | 2644922 | 1333223 | 1311699 | 5.3830729012698 | 2.71343979242096 | 2.66963310884884 | 101.640925242758 | 983823 | 2.68841244817411
광주 | 1411141 | 700518 | 710623 | 2.87202226643008 | 1.42572804137578 | 1.44629422505429 | 98.5780083110172 | 500270 | 2.82075879025326
대전 | 1472880 | 738572 | 734308 | 2.9976764588227 | 1.50317737870404 | 1.49449908011867 | 100.58068276527 | 524460 | 2.80837432788011
울산 | 1094654 | 563044 | 531610 | 2.22789265001637 | 1.14593432192804 | 1.08195832808833 | 105.912981320893 | 377202 | 2.90203657456747
경기 | 11010269 | 5552080 | 5458189 | 22.4086308365959 | 11.2998611655399 | 11.1087696710561 | 101.720185944459 | 4137610 | 2.66102145924821
강원 | 1503714 | 756130 | 747584 | 3.06043130370575 | 1.53891226767259 | 1.52151903603315 | 101.143149131068 | 590235 | 2.54765305344481
충북 | 1500073 | 755657 | 744416 | 3.05302096478705 | 1.53794959524509 | 1.51507136954196 | 101.510042771784 | 568738 | 2.63754663834666
충남 | 1983561 | 1001606 | 981955 | 4.03703907605428 | 2.03851686981667 | 1.99852220623761 | 102.001211868161 | 785126 | 2.52642378420789
전북 | 1862933 | 927775 | 935158 | 3.79153114881318 | 1.88825245545071 | 1.90327869336248 | 99.2105077430766 | 698356 | 2.6675979013569
전남 | 1935075 | 965366 | 969709 | 3.93835802886613 | 1.96475947283407 | 1.97359855603206 | 99.5521336813415 | 762883 | 2.53652919254984
경북 | 2682304 | 1347173 | 1335131 | 5.45915455176659 | 2.74183150566343 | 2.71732304610316 | 100.901933967528 | 1038641 | 2.58251311088239
경남 | 3179085 | 1596672 | 1582413 | 6.47022721816874 | 3.24962391156195 | 3.22060330660679 | 100.901092192746 | 1166458 | 2.72541746038006
제주 | 558850 | 278926 | 279924 | 1.13739849072095 | 0.56768365647818 | 0.569714834242767 | 99.643474657407 | 210578 | 2.65388597099412
※ 차트의 [NAME].
※ 차트의 세대수는 [NAME] 입니다.
Spreadsheet: judy_townsend__17725__TETCOIMB
Sheet: Jan '01

TETCO JANUARY IMBALANCES
Gas Day | Scheduled Imbalances |  |  |  |  | Allocated Imbalances (2 day lag) |  |  |  |  | Total
 | STX | ETX | WLA | ELA |  | STX | ETX | WLA | ELA |  | STX | ETX | WLA | ELA
1 | 3603 | -2860 | 3750 | -6194 |  | 43 | -308 | -2561 | -745
2 | 3603 | -2860 | 3750 | -6194 |  | 50 | -419 | -5095 | 460
3 | -76 | 40 | 77 | 1 |  | 54 | -364 | -3283 | -321
4 | -2189 | 140 | -6283 | 6333 |  | 44 | -250 | -3635 | 1178
5 | 0 | -71 | -556 | -1297 |  | 71 | -211 | -2991 | 699
6 | 0 | -571 | 217 | 0 |  | 58 | -109 | -1802 | 1690
7 | 0 | -571 | 250 | 0 |  | 75 | -142 | 2992 | 1695
8 | 0 | -571 | 217 | 0 |  | 74 | -115 | 1431 | 1830
9 | -1 | -71 | -737 | 0 |  | 71 | -157 | 2442 | 2265
10 | 4517 | -71 | -5034 | 1000 |  | 72 | -91 | 6392 | 2014
11 | 17 | 29 | 340 | -153 |  | 76 | -182 | 4146 | 2297
12 | -2202 | -2228 | 2066 | 9540 |  | 72 | -100 | 1919 | 1409
13 | -554 | -3071 | 1958 | 2422 |  | 52 | -61 | 3608 | 857
14 | -554 | -3071 | 1958 | 2422 |  | 50 | -120 | 3329 | 1669
15 | -554 | -3071 | 1925 | 2422 |  | 71 | -121 | -11150 | 1685
16 | -554 | -3071 | 1925 | 2394 |  | 69 | -33 | -12925 | 1751
17 | 3446 | 1929 | -5839 | 177 |  | 64 | -306 | -12099 | 1296
18 | 808 | 1929 | -1222 | 0 |  | -66 | -113 | -3137 | 1024
19 | 332 | 1929 | -34 | 0 |  | -221 | -79 | -12339 | 926
20 | 291 | 1729 | -1135 | 1620 |  | -70 | -129 | 5305 | 983
21 | 291 | 1729 | -1135 | 1620 |  | -198 | 73 | 636 | 607
22 | 291 | 1729 | -1135 | 1620 |  | -221 | -112 | 9160 | 14
23 | 291 | 1929 | -554 | 12721 |  | -217 | -136 | 16293 | 942
24 | -6425 | -3071 | 0 | -5000 |  | -177 | 9 | 17964 | 477
25 | 282 | 1929 | -1784 | 0 |  | -60 | -113 | 18673 | 692
26 | 0 | 1472 | 7269 | 0 |  | -63 | 99 | 4258 | 529
27 | 3723 | 2772 | -1200 | 7743 |  | -68 | 21 | 3966 | 1073
28 | 3723 | 2772 | -1200 | 17661 |  | -126 | 28 | 3183 | 664
29 | 3723 | 2772 | -1200 | 21684 |  | -125 | -86 | 2901 | -2521
30 | 20996 | 1929 | 5126 | 21589 |  | -80 | -190 | 2483 | 573
31 | 196 | 1929 | -19309 | -57755 |  | -63 | -11 | 2224 | 1132
FILE NAME:  O:\logistics\capacity\east\ne\TETCOIMB
Spreadsheet: 742221d1627592326-get-calculations-to-spill-along-with-the-filtered-or-uniqued-data-samplez-tms-v2
Sheet: Main Sheet (DNR)

PLATE | SIT. |  | Check | CURRENT | Balance |  |  |  |  |  | FLEET | Code | LOC |  |  |  | =$A2# |  | =$B2:INDEX($B:$B,COUNTA($A2#)+1)
 |  |  |  |  |  |  |  |  |  |  | BHF321 | 21
ADB153 |  |  | SOLD | CLD589 | 0 |  |  |  |  |  | CLD589 | 84 |  |  |  |  | ADB153 |  | False
ACF458 |  |  | SOLD | CFY414 | 0 |  |  |  |  |  | CFY414 | 95 |  |  |  |  | ACF458 |  | False
BND225 |  |  | KEEP | EFS309 | 10 |  |  |  |  |  | EFS309 | 11 |  |  |  |  | BND225 |  | False
BHF321 |  |  | KEEP | TMS | -20 |  |  |  |  |  | TMS | 21 |  |  |  |  | BHF321 |  | True
BGH854 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | BGH854 |  | False
CLD589 |  |  |  |  |  |  | Dynamic Named Ranges |  |  |  |  |  |  |  |  |  | CLD589 |  | True
CFY414 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | CFY414 |  | True
DDE220 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | DDE220 |  | False
EFS309 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | EFS309 |  | True
TMS |  | =IF(ROW()>COUNTA($A$2#)+1,"",ISERROR(SEARCH("Closing",LOOKUP(2,1/(dnrColB=MAXIFS(dnrColB,dnrColA,$A12)),dnrColC)))) |  |  |  |  |  |  |  |  |  |  |  |  |  |  | TMS |  | True
 |  | =IF(ROW()>COUNTA($A$2#)+1,"",ISERROR(SEARCH("Closing",LOOKUP(2,1/(dnrColB[NAME],dnrColA,$A13)),dnrColC))))
 |  | =IF(ROW()>COUNTA($A$2#)+1,"",ISERROR(SEARCH("Closing",LOOKUP(2,1/(dnrColB[NAME],dnrColA,$A14)),dnrColC))))
 |  | =IF(ROW()>COUNTA($A$2#)+1,"",ISERROR(SEARCH("Closing",LOOKUP(2,1/(dnrColB=MAXIFS(dnrColB,dnrColA,$A15)),dnrColC))))
 |  | =IF(ROW()>COUNTA($A$2#)+1,"",ISERROR(SEARCH("Closing",LOOKUP(2,1/(dnrColB[NAME],dnrColA,$A16)),dnrColC))))
 |  | =IF(ROW()>COUNTA($A$2#)+1,"",ISERROR(SEARCH("Closing",LOOKUP(2,1/(dnrColB[NAME],dnrColA,$A17)),dnrColC))))
 |  | =IF(ROW()>COUNTA($A$2#)+1,"",ISERROR(SEARCH("Closing",LOOKUP(2,1/(dnrColB[NAME],dnrColA,$A18)),dnrColC))))
 |  | =IF(ROW()>COUNTA($A$2#)+1,"",ISERROR(SEARCH("Closing",LOOKUP(2,1/(dnrColB=MAXIFS(dnrColB,dnrColA,$A19)),dnrColC))))
 |  | =IF(ROW()>COUNTA($A$2#)+1,"",ISERROR(SEARCH("Closing",LOOKUP(2,1/(dnrColB[NAME],dnrColA,$A20)),dnrColC))))
 |  | etc.
Spreadsheet: 44048d1242725136-help-to-make-moving-conditional-formatting-research
Sheet: aggregare result

Resource | Req/Avl | jan | feb | mrz | apr | mai | juni | [NAME]
X | Req | 9 | 8 | 5 | 2 | 6 | 5 | 36
 | [NAME] | 5 | 5 | 5 | 5 | 5 | 4 | 4
Y | Req | 4 | 6 | 17 | 1 | 5 | 4 | 30
 | [NAME] | 5 | 7 | 5 | 5 | 5 | 6 | 6
Z | Req | 3 | 10 | 7 | 5 | 3 | 7 | 37
 | [NAME] | 5 | 5 | 5 | 5 | 5 | 3 | 3
Spreadsheet: 86bb4b24-d85c-4b1b-83a9-4f156fff3a74
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
MLHKM | Test | MLHKM | MLH1 Known Mutation | MLH1 Known Mutation | Polymerase chain reaction (PCR)/DNA sequencing or dosage analysis (multiplex ligation-dependent probe amplification [MLPA] or Southern blot analysis) is utilized to test for the presence of a specific mutation previously identified in an affected family member. (PCR is utilized pursuant to a license agreement with Roche Molecular Systems, Inc.) | EDTA (lavender-top) tube: EDTA OR Yellow-Top (ACD) Tube: ACD OR |  |  | 3 | mL | This test can only be performed if a mutation has previously been identified in a family member of this individual.   [NAME] must arrive within 96 hours of draw.   [NAME] blood Container/Tube: Preferred: Lavender top (EDTA) or yellow top (ACD) Acceptable: Any anticoagulant  [NAME]: 3 mL  Collection Instructions:	 1. Invert several times to mix blood. 2. Send specimen in original tube. Forms: 1. [NAME] (Supply T519) in Special Instructions 2. New York Clients-Informed consent is required. Please document on the request form or electronic order that a copy is on file. An Informed Consent for Genetic Testing (Supply T576) is available in Special Instructions. 3. If not ordering electronically, submit a Molecular Genetics Request Form (Supply T245) with the specimen. | 1 mL | Hemolysis	NA Thawing	Warm OK; Cold OK Lipemia	NA Icterus	NA Other	NA | An interpretive report will be provided. | Friday; 10 a.m. | 10 days | 16 days | 1 | 81293 |  |  |  |  | Rochester
MLHKM | [NAME] | VARIES | Varies |  |  |  | Ambient
MLHKM | Result | 17316 | Reason For Referral | Reason For Referral | Alphanumeric |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 42349-1
MLHKM | Result | 17318 | Result | Result | Alphanumeric |  |  |  |  |  |  |  |  |  |  |  |  |  |  | In Process
MLHKM | Result | 17319 | Interpretation | Interpretation | Alphanumeric |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 69047-9
MLHKM | Result | 17317 | Method | Method | Alphanumeric |  |  |  |  |  |  |  |  |  |  |  |  |  |  | In Process
MLHKM | Result | 17320 | Amendment | Amendment | Alphanumeric |  |  |  |  |  |  |  |  |  |  |  |  |  |  | In Process
MLHKM | Result | 17312 | [NAME] | [NAME] | Alphanumeric |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 31208-2
MLHKM | Result | 17314 | Source | Source | Alphanumeric
MLHKM | Result | 17321 | Reviewed By: | Reviewed By: | Alphanumeric
MLHKM | Result | 17322 | Release Date | Release Date | Alphanumeric
Spreadsheet: drew_fossum__8676__SSCOTT8-22-00
Sheet: Travel Form

Employee Expense Report
Travel Expense Summary |  |  |  |  |  |  |  |  |  |  |  | Page
LAST NAME |  |  |  | FIRST NAME, INITIAL |  |  | TITLE |  |  | EMPLOYEE NUMBER
TRAVEL EXPENSE - Enter all transportation and lodging expenses by receipt total (airline tickets, rental car receipts, taxis, hotel, tips, personal mileage, etc.).  Exclude meals and entertainment.
Designate type of transportation used: B = Bus,  C = Cab, P = Plane,  PC = Personal Car,  CC = Company Car, RC = Rental Car, T = Train.
Assign a reference symbol for each accounting classification to be used.  Charges to be allocated do not require a reference symbol.
REF | Date |  |  | Location and Business Purpose |  |  |  |  |  |  | Type | Cost/Miles | Rate | $ [NAME]
1 | 2000-05-23 00:00:00 | IAH Parking for San Francisco CPUC Conference |  |  |  |  |  |  |  |  | PC | 21.12
1 | 2000-05-23 00:00:00 | San Francisco CPUC Conference - $1.00 toll |  |  |  |  |  |  |  |  | PC | 1
1 | 2000-05-23 00:00:00 | San Francisco, CPUC Conf. |  |  |  |  |  |  |  |  | P | 517.92
1 | 2000-05-23 00:00:00 | San Francisco, CPUC Conf., hotel |  |  |  |  |  |  |  |  | C | 381.9
1 | 2000-05-23 00:00:00 | To IAH for San Francisco CPUC Conference |  |  |  |  |  |  |  |  | PC | 60
1 | 2000-05-24 00:00:00 | San Francisco, CPUC Conf., hotel |  |  |  |  |  |  |  |  |  | 381.9
2 | 2000-05-24 00:00:00 | San Francisco, CPUC Conf., telephone |  |  |  |  |  |  |  |  |  | 18.9
1 | 2000-06-02 00:00:00 | Houston, Parking at IAH for Trip to CA for CPUC Conf. |  |  |  |  |  |  |  |  | PC | 35.2
1 | 2000-06-26 00:00:00 | Washington, DC, FERC Technical Conference, |  |  |  |  |  |  |  |  | P | 1437.32
1 | 2000-06-26 00:00:00 | Washington, DC, FERC Technical Conference, Cab |  |  |  |  |  |  |  |  | C | 9
1 | 2000-06-27 00:00:00 | Car fare to/from Airport  for Ferc Tercnical conf. In Washington, D.C $60. +$120 |  |  |  |  |  |  |  |  | C | 180 | 0.325
1 | 2000-06-27 00:00:00 | Denver, Colorado, Conference with Caiphness re:  Big Sandy project |  |  |  |  |  |  |  |  | P | 1143.84
1 | 2000-06-27 00:00:00 | Washington, DC, FERC Technical Conference, Hotel |  |  |  |  |  |  |  |  |  | 291.98
 |  |  |  |  | Expense allocation |  |  |  | Allocated amount: |  |  | TOTAL
 |  |  |  |  | Enter an allocation factor next to each account receiving allocated |  |  |  |  | Total travel expense must be shown on Page 1,
 |  |  |  |  | charges.  Lines not assigned an allocation factor will not |  |  |  |  | Employee Expense Report Short Form.
 |  |  |  |  | receive an allocation; lines without a REF code will be allocated.
 |  |  |  |  | The total of all allocation factors must equal 1.
ACCOUNT [NAME]
Show the total amount for each accounting classification referenced above.
REF | GL Acct      Asset | GL Co Trd Ptr |  | Cost Center                  WBS Element |  |  | Order                                      Network |  | Material       Activity | Plant                      Func Area | ALLOC FACTOR |  |  | Amount
1 | 52004500 | 0366 | 0014
2 | 52503500 | 0366 | 0014
 |  |  |  |  |  |  |  |  |  |  |  | TOTAL
Spreadsheet: 319c9f42-f413-4f3a-a395-cfb3f5dea881
Sheet: Sheet1

PROG ID | ATHLETE ID | ATHLETE FIRST | ATHLETE LAST | NATIONALITY | START NUMBER | RUN | T1 | BIKE | T2 | SKI | POSITION | TOTAL TIME
5435 | 21904 | Rebecca | [NAME] | USA | 0 | 00:20:25 | 00:00:00 | 00:31:04 | 00:00:00 | 00:25:26 | 1 | 01:16:55
5435 | 28249 | Emma | Garrard | USA | 0 | 00:20:42 | 00:00:00 | [NAME] | 00:00:00 | 00:28:33 | 2 | 01:23:47
5435 | 15572 | Heather | Best | USA | 0 | 00:22:00 | 00:00:00 | 00:33:36 | 00:00:00 | 00:33:37 | 3 | 01:29:14
Spreadsheet: 04ac40d8-7e78-4352-97ce-9873fa4e62e3
Sheet: 4.2(BT) Major Group Enroll-Grad

Institution
Indicator 4: Student Enrollment and Graduation by Major Group
Table 4.2(BT): Major Group Fall Enrollment, Graduation & Post-Graduate / AY 2010-11
 | Major Group | BT - Building Trades
 | 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 | 0 | 0 | 0 | 0
 |  | Part Time | 0 | 0 | 0 | 0
 |  | 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 |  |  | 2 | 1 | 0 | 0
Associate Degree |  |  | 4 | 0 | 0 | 0
 | Assoc. graduates admitted to four-year program |  | 0 | 0 | 0 | 0
 | [NAME]. graduated with a GPA of 3.0 or above |  | 2 | 0 | 0 | 0
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: 673501d1587411510-data-export-to-condensed-list-form-inventory-example-sheet-2
Sheet: Orders Dump

Unless Info | Order | Unless Info | Unless Info | Company | Unless Info | Product | Unless Info | Unless Info | Amount | Notes 1 | Notes 2
 | 123 |  |  | South Park Corp |  | Oranges |  |  | 5
 | 123 |  |  | South Park Corp |  |  |  |  |  | Notes
 | 123 |  |  | South Park Corp |  |  |  |  |  | Notes
 | 123 |  |  | South Park Corp |  |  |  |  |  |  | Notes
 | 123 |  |  | South Park Corp |  |  |  |  |  |  | Notes
 | 123 |  |  | South Park Corp |  |  |  |  |  |  | Notes
 | 321 |  |  | Nickelodeon |  | Oranges |  |  | 4
 | 321 |  |  | Nickelodeon |  | Peaches |  |  | 3
 | 321 |  |  | Nickelodeon |  | Apples |  |  | 3
 | 321 |  |  | Nickelodeon |  |  |  |  |  |  | Notes
 | 321 |  |  | Nickelodeon |  |  |  |  |  |  | Notes
 | 321 |  |  | Nickelodeon |  |  |  |  |  |  | Notes
Spreadsheet: 15eeee22-a2d2-49c5-a6e3-95cf22d74731
Sheet: Summary Bolivar

PRESUPUESTO ENTIDADES EJECUTORAS
BOLIVAR
Nombre Entidad Ejecutora:
Detalle | Presupuesto  Total | Tope Presupuestal
[NAME]
Monitoreo y Evaluación
[NAME] y [NAME]
Total Rubros de Funcionamiento
[NAME]
Total Destinación Específica
PRESUPUESTO TOTAL
XXXXXX
REPRESENTANTE LEGAL
Spreadsheet: 129561d1321700611-match-data-in-certain-ranges-example_problem_match-data-in-certain-ranges
Sheet: Sheet1

Data |  | Set 1 |  | Set 2 |  |  | error
12.3 |  | 12 |  | 19 |  |  | 0.3
11.2 |  | 11 |  | 13
34 |  | 15 |  | 15
8 |  | 19 |  | 10
9 |  | 12.4 |  | 9
Spreadsheet: 453ea04f-30fb-4e31-8f5c-f598360bec46
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6
Owner Occupied Project Worksheet
For Projects using AHP to Assist Owners to Rehabilitate Existing Homes
Owner's Name:
Address:
Number of Bedrooms:
Date of Household's Approval:
USES OF FUNDS |  |  |  |  | NOTES:
A. | Rehabilitation Costs |  |  | 0 | This amount should equal the Final Cost Certification
B. | Title/Recording Fees |  |  | 0 | Another source should cover this expense
C. | Total Developer's Fee |  |  | 0 |  | ß This ratio must be 15% or less
D. | Other:  _________________________ |  |  | 0
E. | Other:  _________________________ |  |  | 0
F. | Other:  _________________________ |  |  | 0
G. | Other:  _________________________ |  |  | 0
H. | Total Costs |  |  | 0
SOURCES OF FUNDS
I. | [NAME] |  |  | 0
J. | Other:  _________________________ |  |  | 0
K. | Other:  _________________________ |  |  | 0
L. | Other:  _________________________ |  |  | 0
M. | Other:  _________________________ |  |  | 0
N. | Total Sources |  |  | 0 | The Sources and Uses are Equal
The sponsor has reviewed and will make records available upon request to demonstrate the following regarding this household:
1. | The household is current in payments for property taxes, insurance and any mortgages secured by the property.
2. | The household has received financial counseling as described in the empowerment section of the AHP application for this project.
3. | A thorough evaluation and analysis was conducted to determine that the cost of the rehabilitation work is reasonable.
4. | The project [NAME] is not receiving reimbursements from multiple sources to pay for the same expenses.  The sources and uses of funds for this household are equal as indicated above.
5 | If the application was submitted in 2010 or later and the project received points for the preservation of existing units, the work addressed all local building code requirements and ensured that the remaining economic life of the major building systems will survive the 5-year AHP compliance period.
Spreadsheet: 760091d1639992831-one-to-one-many-to-one-one-to-many-formula-copy-of-sample-book-1-2226-
Sheet: old

Origin code | Destination code | [NAME] result
307210000 | 307211000
307210011 | 307211010
307210011 | 307211010
307210019 | 307211010
307210091 | 307211090
307210091 | 307211090
307210099 | 307211090
Spreadsheet: a4d71e10-8cfe-4bf0-a761-a79625db9ae8
Sheet: Sheet1

electronica 2010 - List of exhibitors | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5
 | Search by product and service index (23 Entries):
 | 12 Assemblies and subsystems 12.5 Servo-technology/Drive elements 12.5.1 Motors
No. | Company | Country | City | [NAME] | Hall/Booth
1 | Benchmark Drives GmbH | Germany | [NAME] am Main | 63791 | B2.474
2 | Changzhou Leili Electrical Equipment Co., Ltd | China | Changzhou | Jiangsu | A2.539/1
3 | Dunkermotoren GmbH | Germany | Bonndorf | 79848 | A2.506
4 | ebm-papst St. Georgen GmbH & Co.[NAME] | Germany | St. Georgen | 78112 | A2.261
5 | ebm-papst Mulfingen GmbH & Co. [NAME] | Germany | Mulfingen | 74673 | A2.261
6 | [NAME] der Elektronik GmbH | Germany | Hamburg | 22761 | B3.219
7 | Embedded Microsystems Bremen GmbH Applikationszentrum für [NAME] | Germany | Bremen | 28359 | A2.M04
8 | HOSIDEN EUROPE GMBH | Germany | [NAME] | 40239 | B3.343
9 | IGARASHI Motoren GmbH | Germany | Burgthann | 90559 | A2.415
10 | Jinlong Machinery & Electronics Co., Ltd. | China | Yueqing, Zhejiang | 325603 | A6.660/2
11 | Kayser Electric GmbH | Germany | Stuttgart | 70178 | A2.535
12 | [NAME] und [NAME] | Germany | München | 81549 | A2.239
13 | maxon motor ag | Switzerland | Sachseln | 6072 | A2.500
14 | maxon motor gmbh | Germany | München | 81825 | A2.500
15 | MEV Elektronik Service GmbH | Germany | Hilter | 49176 | A4.260
16 | Moving Magnet Technologies S.A | France | Besancon | 25000 | A2.321
17 | Novomotec GmbH | Germany | Neubiberg | 85579 | A2.507
18 | [NAME] | Germany | Stuttgart | 70182 | A2.215
19 | Sanyo Denki Germany GmbH | Germany | Eschborn | 65760 | A2.377
20 | Shenzhen Qijintai Motor Technology Co., Ltd. | China | Pinghu Town, Longgang | Shenzhen | A2.518
21 | [NAME] | Switzerland | Sonceboz | 2605 | A2.321
22 | Trinamic Motion Control GmbH & Co.[NAME] | Germany | Hamburg | 20357 | A4.515
23 | Willburger System GmbH | Germany | [NAME] | 82418 | A2.512
Spreadsheet: 725264d1616601168-else-function-on-each-scenario-sample
Sheet: Main

Section | Name | Physics | Chem | Bio | Maths
A | [NAME]
B | Maria
C | [NAME]
Spreadsheet: 679598d1590513414-conditional-average-based-off-of-slicer-average-slicer-example
Sheet: Table

Data1 | Data2 | Completed scores |  |  | Average Data1
1 | A | True
2 | B | True
3 | C | True
4 | D | True
5 | E | True
6 | F | True