tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 861244d1709167317-sort-two-columns-so-that-matching-numbers-line-up-in-rows-sample-data-array-solution-dj
Sheet: Sample Data Sorted

Column A | Column B | Column C |  | Column A | Column B | Column C |  | Column A | Column B | Column C
44788661 | 44788661 | 44794816 |  | 44788661 | 44788661
44788902 | 44788902 | 44798668 |  | 44788902 | 44788902 |  |  | 44788902 | 44788902
44794797 | 44794807 | 44798672 |  | 44794797 |  |  |  | 44794797
44794803 | 44794829 | 44798677 |  | 44794803 |  |  |  | 44794803
44794807 | 44798666 | 44798678 |  | 44794807 | 44794807 |  |  | 44794807 | 44794807
44794810 | 44798674 | 44798717 |  | 44794810 |  |  |  | 44794810
44794814 | 44798675 | 44798724 |  | 44794814 |  |  |  | 44794814
44794816 | 44798682 | 44798727 |  | 44794816 |  | 44794816 |  | 44794816 |  | 44794816
44794827 | 44798698 |  |  | 44794827 |  |  |  | 44794827
44794829 | 44798700 |  |  | 44794829 | 44794829 |  |  | 44794829 | 44794829
44794830 |  |  |  | 44794830 |  |  |  | 44794830
44794831 |  |  |  | 44794831 |  |  |  | 44794831
44796299 |  |  |  | 44796299 |  |  |  | 44796299
44798666 |  |  |  | 44798666 | 44798666 |  |  | 44798666 | 44798666
44798667 |  |  |  | 44798667 |  |  |  | 44798667
44798668 |  |  |  | 44798668 |  | 44798668 |  | 44798668 |  | 44798668
44798670 |  |  |  | 44798670 |  |  |  | 44798670
44798671 |  |  |  | 44798671 |  |  |  | 44798671
44798672 |  |  |  | 44798672 |  | 44798672 |  | 44798672 |  | 44798672
44798674 |  |  |  | 44798674 | 44798674 |  |  | 44798674 | 44798674
44798675 |  |  |  | 44798675 | 44798675 |  |  | 44798675 | 44798675
44798676 |  |  |  | 44798676 |  |  |  | 44798676
44798677 |  |  |  | 44798677 |  | 44798677 |  | 44798677 |  | 44798677
44798678 |  |  |  | 44798678 |  | 44798678 |  | 44798678 |  | 44798678
44798679 |  |  |  | 44798679 |  |  |  | 44798679
44798682 |  |  |  | 44798682 | 44798682 |  |  | 44798682 | 44798682
44798698 |  |  |  | 44798698 | 44798698 |  |  | 44798698 | 44798698
44798700 |  |  |  | 44798700 | 44798700 |  |  | 44798700 | 44798700
44798717 |  |  |  | 44798717 |  | 44798717 |  | 44798717 |  | 44798717
44798724 |  |  |  | 44798724 |  | 44798724 |  | 44798724 |  | 44798724
44798727 |  |  |  | 44798727 |  | 44798727 |  | 44798727 |  | 44798727
44798796 |  |  |  | 44798796 |  |  |  | 44798796
44798798 |  |  |  | 44798798 |  |  |  | 44798798
44798799 |  |  |  | 44798799 |  |  |  | 44798799
Spreadsheet: 99991d1298488436-only-printing-one-cell-weekly-activity
Sheet: Sheet1

 |  |  | WEEK ENDING
Weekly Activity
 | MORTALITY | LOT ACTIVITY |  |  |  |  |  | SALES | SALES | MORTALITY
GROWER |  | (Sales, New/Closed Lots, Feed Transfers) |  |  |  |  |  | This Week | to date | to date
QUAD # 1
QUAD # 2
QUAD # 3
QUAD # 4
QUAD # 5
QUAD # 6
QUAD # 7
QUAD # 8
LINE # 1
LINE # 2
LINE # 3
LINE # 4
J & A # 1
J & A # 2
J & A # 3
J & A # 4
ART # 1
ART # 2
ART # 3
ART # 4
CASA # 1
CASA # 2
CASA # 3
CASA # 4
BARN # 1
BARN # 2
TAY # 1
TAY # 2
TAY # 3
TAY # 4
STOCK
Spreadsheet: f61daf68-8623-4548-b123-e9474a0db6be
Sheet: Sheet1

analytica 2012 - Aussteller Liste | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5
 | Suche über Produkt- und Dienstleistungsverzeichnis (34 [NAME]):
 | 3 Mess-, [NAME] und Qualitätskontrolle 3.3 Physikalische Verbundgrößen
Nr. | Firma | Land | Ort | PLZ | Halle/Stand
1 | a1-envirosciences GmbH Geschäftsbereiche: a1-envirotech und [NAME] | Deutschland | [NAME] | 40595 | A1.305
2 | [NAME] GmbH | Deutschland | Hamburg | 22297 | B1.121/220
3 | Analysco Ltd. | Großbritannien | Chipping Norton, Oxfordshire | OX7 6LS | A2.509
4 | [NAME] | Österreich | Graz | 8054 | A2.110
5 | BÄHR-Thermoanalyse GmbH | Deutschland | [NAME] | 32609 | A1.234A
6 | Berghof Products + Instruments GmbH | Deutschland | [NAME] | 72800 | A1.417
7 | [NAME] | Deutschland | Lorch | 73547 | A2.530
8 | CEM GmbH | Deutschland | Kamp-Lintfort | 47475 | A1.210
9 | Centec GmbH | Deutschland | Maintal | 63477 | A1.100
10 | [NAME] mbH | Deutschland | Niddatal | 61194 | A3.417
11 | ECH Elektrochemie Halle GmbH | Deutschland | Halle | 06120 | A1.437
12 | Haver & Boecker OHG Partikelanalyse | Deutschland | Oelde | 59302 | B1.411
13 | Kern & Sohn GmbH | Deutschland | Balingen | 72336 | B1.121/220
14 | L.U.M. GmbH | Deutschland | Berlin | 12489 | A1.526
15 | Malvern Instruments GmbH | Deutschland | [NAME] | 71083 | A1.320
16 | Mettler-Toledo GmbH | Deutschland | Gießen | 35396 | A2.101/202
17 | Micromeritics GmbH | Deutschland | Aachen | 52072 | A1.118
18 | NIR-Online GmbH | Deutschland | Walldorf | 69190 | A1.421
19 | Perten Instruments GmbH | Deutschland | Hamburg | 21079 | A2.224
20 | [NAME] | Deutschland | Waldbronn | 76337 | A2.217
21 | Porotec GmbH | Deutschland | [NAME] | 65719 | A2.200
22 | Precisa Gravimetrics AG | [NAME] | Dietikon | 8953 | B1.420
23 | Quantachrome GmbH & Co. [NAME] | Deutschland | Odelzhausen | 85235 | A2.532
24 | RheoTec Messtechnik GmbH | Deutschland | Ottendorf-Okrilla | 01458 | A2.530
25 | Sartorius AG | Deutschland | [NAME] | 37075 | [NAME]
26 | [NAME] | Deutschland | Berlin | 13403 | A1.108
27 | Ludwig Schneider GmbH & Co.[NAME] | Deutschland | Wertheim a. M. | 97877 | B1.121/220
28 | Sentronic GmbH | Deutschland | Dresden | 01217 | A2.423
29 | SI Analytics GmbH | Deutschland | [NAME] | 55122 | A1.201/302
30 | SOLITON GmbH | Deutschland | Gilching | 82205 | A1.402
31 | TA Instruments Unternehmensbereich Waters GmbH | Deutschland | Eschborn | 65760 | A1.234B
32 | Thermo Scientific | Deutschland | Dreieich | 63303 | B1.101/202
33 | [NAME] MicroImaging GmbH | Deutschland | Jena | 07745 | A2.111/210
34 | [NAME] GmbH | Deutschland | Rendsburg | 24768 | A1.129
Spreadsheet: 59489d1259972674-horizontal-bar-conference-schedule-using-only-ascii-text-file-hh-staging-guide-sched
Sheet: Sheet1

Monday, June 19, 2006
Room Name | 7:30am | 8:00am | 8:30am | 9:00am | 9:30am | 10:00am | 10:30am | 11:00am | 11:30am | 12:00noon | 12:30pm | 1:00pm | 1:30pm | 2:00pm | 2:30pm | 2:30pm | 3:00pm | 3:30pm | 4:00pm
TBD | Registration | Registration | Registration | Registration | Registration | Registration | Registration | Registration | Registration | Registration | Registration | Registration | Registration | Registration | Registration | Registration | Registration | Registration
TBD |  |  | Opening General Session | Opening General Session | Opening General Session | Opening General Session | Opening General Session | Opening General Session | Opening General Session
TBD |  |  |  |  |  |  |  |  |  |  |  |  |  | Break
Exhibit Hall A |  |  |  |  |  |  |  |  | Exhibit Hall Open | Exhibit Hall Open | Exhibit Hall Open | Exhibit Hall Open | Exhibit Hall Open | Exhibit Hall Open | Exhibit Hall Open | Exhibit Hall Open | Exhibit Hall Open | Exhibit Hall Open
100 |  |  |  |  |  |  |  |  |  |  |  | Training Session | Training Session |  | Training Session | Training Session | Training Session
101 |  |  |  |  |  |  |  |  |  |  |  | Training Session | Training Session |  | Training Session | Training Session | Training Session
102 |  |  |  |  |  |  |  |  |  |  |  | Training Session | Training Session |  | Training Session | Training Session | Training Session
103 |  |  |  |  |  |  |  |  |  |  |  | Training Session | Training Session |  | Training Session | Training Session | Training Session
Monday, June 19, 2006
Room Name | 7:30am | 8:00am | 8:30am | 9:00am | 9:30am | 10:00am | 10:30am | 11:00am | 11:30am | 12:00noon | 12:30pm | 1:00pm | 1:30pm | 2:00pm | 2:30pm | 2:30pm | 3:00pm | 3:30pm | 4:00pm
TBD | Registration
TBD |  |  | Opening General Session
TBD |  |  |  |  |  |  |  |  |  |  |  |  |  | Break
Exhibit Hall A |  |  |  |  |  |  |  |  | Exhibit Hall Open
100 |  |  |  |  |  |  |  |  |  |  |  | Training Session |  |  | Training Session
101 |  |  |  |  |  |  |  |  |  |  |  | Training Session |  |  | Training Session
102 |  |  |  |  |  |  |  |  |  |  |  | Training Session |  |  | Training Session
103 |  |  |  |  |  |  |  |  |  |  |  | Training Session |  |  | Training Session
Spreadsheet: 1f3eea12-5f0a-436a-b140-d43fdf88a57f
Sheet: Sheet1

100學年度臺中市國中國文科代理教師分發順位表 | Unnamed: 1 | Unnamed: 2
序號 | 准考證號 | [NAME]
1 | 100A010229 | 江姿瑩
2 | 100A011074 | [NAME]
3 | 100A010449 | 李雅雯
4 | 100A010402 | 吳健名
5 | 100A010766 | 鍾沛軒
6 | 100A010179 | 廖依婷
7 | 100A011061 | 郭俊辰
8 | 100A010835 | 黃千芹
9 | 100A010157 | 簡致中
10 | 100A010364 | [NAME]
11 | 100A010968 | [NAME]
12 | 100A010212 | 蕭凱欣
13 | 100A010125 | 許雅婷
14 | 100A010659 | 李嘉純
15 | 100A010741 | 郭依佳
16 | 100A010598 | 陳靜怡
17 | 100A010649 | [NAME]
18 | 100A010483 | 蔡宜芳
19 | 100A010371 | [NAME]
20 | 100A010877 | 蔡宗霖
21 | 100A010885 | 蔡思蘋
22 | 100A010127 | [NAME]
23 | 100A010771 | 周家仰
24 | 100A010433 | [NAME]
25 | 100A010469 | 石幸宜
26 | 100A010639 | 顏杏潔
27 | 100A010601 | 蘇佳欣
28 | 100A010060 | 黃靜瑜
29 | 100A010334 | 林于仙
30 | 100A011068 | 劉明雅
31 | 100A010907 | 陳杏葳
32 | 100A010160 | 謝昀軒
33 | 100A010124 | 陳盈喻
34 | 100A010100 | [NAME]
35 | 100A010792 | [NAME]
36 | 100A010786 | 高昌平
37 | 100A010136 | 劉穎玟
38 | 100A010143 | 王詩涵
39 | 100A010979 | 黃思涵
40 | 100A010207 | 何秋慧
41 | 100A010460 | 張?謹
42 | 100A010358 | 歐志祥
43 | 100A010779 | 蔣淑婷
44 | 100A010024 | 李靜雯
45 | 100A010725 | 林孜芸
46 | 100A010742 | 何佳宜
47 | 100A010644 | 胡惠婷
48 | 100A010537 | 林欣妤
49 | 100A010494 | 楊宛?
50 | 100A010686 | 陳峰毅
51 | 100A010814 | 賴孟慧
52 | 100A010425 | 曾韻琴
53 | 100A010583 | 徐琡雯
54 | 100A010825 | [NAME]
55 | 100A010247 | 楊詩如
56 | 100A010356 | 鄭之瑀
57 | 100A010899 | 鄭惠如
58 | 100A010388 | 彭肇思
59 | 100A010196 | 張婉庭
60 | 100A010167 | 林佳嫺
61 | 100A010671 | 洪家凌
62 | 100A011029 | 謝慧怡
63 | 100A010058 | 謝文瑾
64 | 100A010929 | 劉星倫
65 | 100A010593 | 張安君
66 | 100A010115 | 楊岳昌
67 | 100A010161 | 蔡純純
68 | 100A010481 | [NAME]
69 | 100A011088 | 張榆婕
70 | 100A010784 | 陳春妤
71 | 100A010394 | 黃育川
72 | 100A010119 | 蔡孟芳
73 | 100A010445 | 王稜瑜
74 | 100A010032 | 陳郁靜
75 | 100A010015 | 劉曉雯
76 | 100A010770 | 黃怡禎
77 | 100A010131 | [NAME]
78 | 100A011027 | 蔡佳真
79 | 100A010939 | 劉秀紅
80 | 100A010411 | 陳彥希
81 | 100A010693 | 許琬雯
82 | 100A010660 | 鄭瑋齡
83 | 100A010547 | 李柏賢
84 | 100A010041 | 張家豪
Spreadsheet: 69468d1270005204-if-quantity-is-this-and-list-choice-is-that-then-pricing_web-1-
Sheet: calculator

Garment price
cost of garment | 3.5
[NAME] | 2
Number of tees | 10
quantities | 1-12 | 13-24 | 25-36 | 37-71
totals | 70 | 0 | 0 | 0
Printing Costs
garment color | white |  | white | dark
1st location # of colors | 1 | 4.25
2nd location # of colors | 3 | 6.25
quantities | 1-12 | 13-24 | 25-36 | 37-71
totals | 105 | 0 | 0 | 0
Setup costs
Art work
# of screens
quantities | 1-12 | 13-24 | 25-36 | 37-71
Total
subtotal
sales tax
total
Spreadsheet: 758181d1638724216-vlookup-across-multiple-sheets-kod195-129-commercial-road
Sheet: Plant

 | [NAME]
 | Description | Unit | Rate | Qty | Extension
 | Total
 | Construction Cost
 | Description | Unit | Rate | Qty | Extension | Paid | Outstanding
 | Total
Spreadsheet: geir_solberg__11294__1-16act
Sheet: Economics

 | Commodity Revenue (Cost) | Demand Charge | Total | Total Volume | $/Mwhr Commodity Cost | $/Mwhr Total Cost
Purchases
[NAME]. Cost Est. |  |  |  |  | 20 | 0
Incremental Purchases
[NAME]
4C Balancing
4C Realtime
[NAME]
PV Balancing
PV Realtime
SPS Pre
Artesia Balancing
Artesia Realtime
Sales
Incremental Sales
[NAME]
4C Balancing
4C Realtime
[NAME]
PV Balancing
PV Realtime
[NAME]
Artesia Balancing
Artesia Realtime
 |  |  |  |  |  |  | Heat | Fuel
Generation |  |  |  |  |  |  | Rate | Cost
4 Corners Unit 4 |  |  |  |  |  |  | 10.0576 | 1.3
4 Corners Unit 5 |  |  |  |  |  |  | 10.0576 | 1.3
PV Unit 1 |  |  |  |  |  |  | 10.16 | 0.6
PV Unit 2 |  |  |  |  |  |  | 10.16 | 0.6
PV Unit 3 |  |  |  |  |  |  | 10.16 | 0.6
Newman 1
Newman 2 |  |  |  |  |  |  |  | 1.96
Newman 3
GT 1
GT 2
GT1+ST1
GT2+ST1
Newman 4 |  |  |  |  |  |  |  | 1.96
Copper
Rio Grande 6
Rio Grande 7
Rio Grande 8
Total
Spreadsheet: 137043d1326920170-using-countif-to-aggregate-daily-data-to-weekly-excel-countif-problem
Sheet: Sheet1

 | Date | Item | Price |  |  | Week | Sales (Count) | Revenue
 | 2012-01-02 00:00:00 | Product A | 5 |  |  | 1
 | 2012-01-02 00:00:00 | Product B | 10 |  |  | 2
 | 2012-01-02 00:00:00 | Product A | 5 |  |  | 3
 | 2012-01-05 00:00:00 | Product A | 5 |  |  | 4
 | 2012-01-05 00:00:00 | Product A | 5
 | 2012-01-08 00:00:00 | Product B | 10 |  |  |  | =COUNTIF(WEEKNUM(Table1[Date]),[@Week])
 | 2012-01-12 00:00:00 | Product B | 10 |  |  |  | I wish I could use this function in the Sales column of the table above, but it is invalid
 | 2012-01-16 00:00:00 | Product B | 10
 | 2012-01-16 00:00:00 | Product A | 5
 | 2012-01-16 00:00:00 | Product C | 15
Spreadsheet: 84db1700-55c8-4981-b821-673f109784a6
Sheet: Sheet1

Bevölkerung des Freistaates Sachsen nach ausgewählten Altersgruppen | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4
[NAME]
Alter von ... bis                     unter ... Jahren | 2011 | 2015 | 2020 | 2025
1 000
unter 20 | 17346 | 16871 | 15625 | 13860
20 - 65 | 71552 | 65524 | 57645 | 50944
65 und mehr | 30739 | 31544 | 33816 | 35190
Insgesamt | 119637 | 113939 | 107086 | 99994
%
unter 20 | 14.49885904862208 | 14.80704587542457 | 14.59107633117308 | 13.86083164989899
20 - 65 | 59.80758461011225 | 57.50796478817612 | 53.83056608707021 | 50.94705682340941
65 und mehr | 25.69355634126566 | 27.6849893363993 | 31.57835758175672 | 35.1921115266916
Insgesamt | 100 | 100 | 100 | 100
Abhängigkeitsquotient
Jugendquotient | 24.24250894454383 | 25.74781759355351 | 27.10555989244514 | 27.20634422110553
Altenquotient | 42.960364490161 | 48.14113912459557 | 58.66250325266719 | 69.07584798994975
Gesamtquotient | 67.20287343470484 | 73.88895671814907 | 85.76806314511232 | 96.28219221105527
Gebietsstand: | 1. Januar 2012
Quelle: | 2011 Bevölkerungsfortschreibung auf Basis der [NAME] vom 03. Oktober 1990
 | 2012 - 2025 Bevölkerungsprognose
Bevölkerung jeweils am 31. Dezember
Prognoseergebnisse werden bei der Veröffentlichung immer auf volle [NAME] gerundet. [NAME] basieren [NAME] ungerundeten Werten. Beim [NAME] der [NAME] werden Ihnen die ungerundeten [NAME] zur Verfügung gestellt, damit [NAME] eigenen Berechnungen genauer durchführen können. Die Darstellung der Ergebnisse sollte dann aber wieder gerundet erfolgen.
Spreadsheet: 850770d1701142392-how-to-solve-sum-with-several-requirements-training_requirements_example
Sheet: Reference

Designation | Requirement 1 | Requirement 1 Amount | Requirement 2 | Requirement 2 Amount
ELW 2 Drone | ELW 2 | 6 | Drone | 6
FwK | Feuerwehrkran | 3 | NIL | 0
ELW Drone | Drone | 5 | NIL | 0
ELW 2 | ELW 2 | 6 | NIL | 0
Spreadsheet: 813721d1673956689-similar-values-if-function-vlookup-sample-2-
Sheet: Sheet1

Name | date | ID | Amount
ABC | 2023-01-10 00:00:00 | 636363 | 764
ABC | 2023-01-10 00:00:00 | 242424 | 657 | 657
BOB | 2023-01-31 00:00:00 | 636363 | 937 | 937
BOB | 2023-01-10 00:00:00 | 242424 | 5645 | 5645
[NAME] | 2023-01-10 00:00:00 | 242424 | 232 | 232
Scott | 2023-01-10 00:00:00 | 636363 | 787 | 787
ABC | 2023-01-31 00:00:00 | 121212 | 4363 | 4363
[NAME] | 2023-01-31 00:00:00 | 242424 | 382 | 382
ABC | 2023-01-31 00:00:00 | 636363 | 914 | 914
ABC | 2023-01-31 00:00:00 | 323232 | 6717 | 6717
[NAME] | 2023-01-31 00:00:00 | 636363 | 906 | 906
Scott | 2023-01-31 00:00:00 | 636363 | 937 | 937
Spreadsheet: 61416d1262258041-sum-of-subtotals-if-negative-equals-0-negative-sum-sample-1-
Sheet: Sheet1

Month | Exceptions | Points
2009-06-01 00:00:00 | 1
subtotal: |  |  | << If C4 is a negative number then subtotal would be 0, if it is greater than 0 then it would be equal to C4.
2009-07-01 00:00:00 | 1
subtotal: |  |  | << The sum of C5 & C6, if a negative number then the subtotal would be 0, if great than 0 than it would be the sum of both.
2009-08-01 00:00:00 | 4
subtotal: |  |  | << The sum of C7 & C8, if a negative number then the subtotal would be 0, if great than 0 than it would be the sum of both.
2009-09-01 00:00:00 | 8
subtotal: |  |  | << The sum of C9 & C10, if a negative number then the subtotal would be 0, if great than 0 than it would be the sum of both.
2009-10-01 00:00:00 | 1
subtotal: |  |  | << The sum of C11 & C12, if a negative number then the subtotal would be 0, if great than 0 than it would be the sum of both.
2009-11-01 00:00:00 | 55
Total Exception Policy Points: |  |  | << The sum of C13 & C14, if a negative number then the subtotal would be 0, if great than 0 than it would be the sum of both.
Spreadsheet: eric_saibi__9749__011602R
Sheet: Colstrip 03

Owner Name |  | PPL Montana LLC
Station Name |  | Colstrip Power Station
Unit Name |  | Colstrip 03
NERC Region |  | WSCC
State |  | MT
Fuel Type |  | Coal
Capacity |  | 778 MW
Start Date |  | 2002-01-05 00:00:00
End Date |  | 2002-02-01 00:00:00
Prv. Start Date |  | 2002-01-05 00:00:00
Prv. End Date |  | 2002-01-18 00:00:00
Comments |  | Tube repairs
SIC |  | 4911
Plant ID |  | 1015370
Unit ID |  | 1007494
Outage ID |  | 19382
Spreadsheet: 56747d1256845970-dynamic-list-book2
Sheet: Sheet1

 |  |  | Type text here
 |  | Contains | o
 | Name |  |  |  | List |  | Should look like
 | [NAME] |  |  |  | formula here |  | [NAME]
 | [NAME] |  |  |  |  |  | Marjorie
 | Isla |  |  |  |  |  | Jon
 | Marjorie |  |  |  |  |  | Doug
 |  |  |  |  |  |  | [NAME]
 | [NAME]
 | Bryant
 | [NAME]
 | [NAME]
 | Brent
 | Zach
 | [NAME]
 | Jon
 | Caleb
 | Greg
 | [NAME]
 | Doug
 | [NAME]
 | [NAME]
Spreadsheet: 848475d1699209599-how-to-filter-select-specific-strings-from-a-big-database-if-and-or-search-left-example-for-forum-3-nov-2023-jacc-2_extended-colored-
Sheet: Forum (3)

 |  |  |  |  |  |  |  |  |  | How can I adapt the formula to only exclude strings that start with "Method", "A method", "The Method"?
 |  |  |  |  | A
Some examples for strings that occur in the big data sheet (80 columns; 900 rows) |  |  |  |  | An |  |  |  |  | Method
 |  |  |  |  |  |  |  |  |  | A method
Attempt 1 |  |  |  |  |  |  |  |  |  | The method
Apparatus for controlling a flow of molten source material | Apparatus for controlling something different | A method for controlling a flow
A method of improving a measurement of a parameter of interest | A method of improving a measurement of a parameter of interest | A method as claimed in claim 1
A lithographic apparatus | A lithographic apparatus comprising: [NAME] and the processing arrangement of claim XXX. | Exposure apparatus
An apparatus to perform the method of any of claims 1 to 14. | An apparatus | An apparatus, comprising a component
Method for control a flow | Method for controlling a flow according to claim 1 | The method for controlling a flow according to claim 1 or 2
An apparatus according to claim 1 | An optical arrangement as claimed in claim 1 | An apparatus according to any of the preceding claims
Spreadsheet: 525693d1498840967-formuals-to-sum-distinct-values-with-condition-any-and-all-sample-c
Sheet: Formulas

Location | No. of Distinct Names | No. of Distinct Names with 1 or more cat. 'B' | No. Of Distinct Names with only cat. 'A' |  | Answer Key 1+ 'B': | Answer 'A' Only:
East |  |  |  |  | 2 | 1
North |  |  |  |  | 2 | 0
South |  |  |  |  | 1 | 1
West |  |  |  |  | 3 | 1
Spreadsheet: 12120e98-bc33-4be8-81ba-0247b9b37943
Sheet: Sheet1

Table 10--U.S. oilseed meal prices | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6
Marketing | Soybean | Cottonseed | Sunflowerseed | Peanut | Canola | Linseed
year | meal 2 | meal 3 | meal 4 | meal 5 | meal 6 | meal 7
 |  |  | $/Short ton
2001/02 | 167.72 | 136.16 | 87.27 | 112.32 | 143.33 | 121.29
2002/03 | 181.58 | 146.12 | 105 | 128.35 | 144.06 | 122.91
2003/04 | 256.05 | 183.47 | 111.14 | 177.56 | 188.45 | 159.25
2004/05 | 182.9 | 124.04 | 85.5 | 118.34 | 139.75 | 115.55
2005/06 | 174.1658333333333 | 144.2716666666667 | 77.46400000000001 | 106.9781818181818 | 140.5183333333333 | 115.53
2006/07 | 205.44 | 150.36 | 104.88 | 100 | 173.5 | 133.01
2007/08 | 335.94 | 253.81 | 172.81 |  | 251.32 | 228.81
2008/09 | 331.17 | 255.23 | 152.46 |  | 248.82 | 220.89
2009/10 | 311.27 | 220.9 | 151.04 |  | 224.92 | 209.23
2010/11 | 345.52 | 273.84 | 219.72 |  | 263.63 | 240.65
2011/121 | 393.53 | 275.13 | 246.75 |  | 307.59 | 265.68
2012/131 | 470-500 | 385-415 | 315-345 |  | 380-410 | 315-345
2010/11
October | 321.92 | 225.31 | 190.63 |  | 251.03 | 208.75
November | 341.78 | 235 | 211.5 |  | 257.73 | 237.5
December | 351.93 | 240.63 | 217.5 |  | 265.54 | 234.38
January | 368.54 | 245.63 | 205.63 |  | 275.8 | 255
February | 358.59 | 258.75 | 209.38 |  | 261.2 | 256.25
March | 345.43 | 256.5 | 210 |  | 260.32 | 236.5
April | 335.87 | 240 | 196.25 |  | 254.68 | 225.63
May | 342.3 | 275.5 | 203.13 |  | 267.82 | 231.88
June | 347.45 | 307.5 | 240.63 |  | 263.45 | 254.38
July | 346.52 | 313.13 | 241.25 |  | 277.55 | 260.63
August | 349.6 | 342.5 | 247 |  | 271.04 | 247.5
September | 336.32 | 345.63 | 263.75 |  | 257.34 | 239.38
2011/12
October | 301.45 | 255.63 | 232.5 |  | 238.7 | 243.75
November | 290.37 | 240.5 | 224 |  | 235.2 | 239
December | 281.65 | 220.63 | 225.63 |  |  | 221.25
January | 310.65 | 213 | 223.5 |  | 253.98 | 209
February | 330.37 | 190 | 191.88 |  | 257.63 | 193.75
March | 365.95 | 225 | 191.88 |  | 277.83 | 216.25
April | 394.29 | 240.63 | 211.25 |  | 313.38 | 256.25
May | 415.17 | 270 | 230.5 |  | 333.69 | 279
June | 422.59 | 294.38 | 226.88 |  | 335.26 | 287.5
July | 515.82 | 350.5 | 300.5 |  | 378.86 | 343
August | 564.69 | 407.5 | 348.13 |  | 388.13 | 358.75
September1 | 529.37 | 393.75 | 354.38 |  | 370.79 | 340.63
1 Preliminary.  2 High-protein Decatur, IL.  3 41-percent Memphis.  4 34-percent North Dakota-Minnesota.
5 50-percent Southeast mills.  6 36-percent Pacific Northwest. 7 34-percent Minneapolis.
NA= Not available.
Source: USDA, Agricultural Marketing Service, Monthly Feedstuff Prices.
Last update: | 2012-10-17 11:42:22.880000
Spreadsheet: rick_buy__32698__DOUG
Sheet: 0700

4
POWER PLANTS  ACCOUNTS RECEIVABLE AGING
AS OF JULY 31, 2000
 |  |  | CURRENT |  | 1-30 |  | 31-60 |  | 61-90 |  | OVER 90 |  | TOTAL | COMMENTS
SMITH ENRON | A/R |  | 9231160.77 |  | 2555573.02 |  | 5165902.82 |  | 1860114.72 |  |  |  |  | THIS MONTH TOTAL PAYMENTS
 | PER CENT |  |  |  |  |  | 0 |  | 0 |  |  |  |  | 0
PUERTO QUETZAL | A/R |  | 1104.17 |  | 2817381.12 |  | 0 |  | 2005 |  | 444405.91 |  |  | THIS MONTH TOTAL PAYMENTS
463 | PER CENT |  |  |  |  |  |  |  |  |  |  |  |  | 0
HAINAN MEINAN | A/R |  |  |  |  |  |  |  |  |  | 68695.76
416 | PER CENT
DABHOL POWER CO | A/R |  |  |  | 222492.95 |  | 435365.24 |  | 0 |  | -193455.91 |  |  | THIS MONTH TOTAL PAYMENTS
 | PER CENT |  |  |  |  |  |  |  |  |  |  |  |  | 212872.29
EMPRESA ENERGETICA | A/R |  | 1277.6 |  | 1475809.01 |  | 1588512.44 |  | 2971378.64 |  | 3121.04 |  |  | THIS MONTH TOTAL PAYMENTS
 | PER CENT |  |  |  |  |  |  |  |  |  |  |  |  | 1484576.05
EGEMINSA | A/R |  | 1131743.91 |  | 4013620.31 |  | 1972547.72 |  | 45789.72 |  |  |  |  | THIS MONTH TOTAL PAYMENTS
 | PER CENT |  |  |  |  |  |  |  |  |  |  |  |  | 3112416.5
TOTALS | A/R
 | PER CENT
Spreadsheet: 274764d1383215083-tallying-instances-of-specific-words-sample-2
Sheet: Sheet1

Name | Letters
Seq1 | AAGACAAGAAGAAATTTCATCGAGCAAGTT
Seq2 | GCTACACCAATTGAAGATGTCTTTTCTTTT
Seq3 | AGAAACTCTAGAGTCCGTTGTTGAATTGTT
Seq4 | TTCTACCGCAACAAATATGTTCAGTGCATT
Seq5 | AAGTAAATTATCACAATATCAAGATTGGTA
Seq6 | AACCTGTTCACTGGGAGGCACAGGTCGTCT
Seq7 | AAATAATCTTTCAGAATCATAACTCGGTTC
Seq8 | AAGCAGCTTTCCATGTCTGTACCATTAGGT
Combinations
AAGACAAGAAGAAATTTCATCGAGCAAGTTAACCTGTTCACTGGGAGGCACAGGTCGTCT
GCTACACCAATTGAAGATGTCTTTTCTTTTAAATAATCTTTCAGAATCATAACTCGGTTC
AGAAACTCTAGAGTCCGTTGTTGAATTGTTAACCTGTTCACTGGGAGGCACAGGTCGTCT
Spreadsheet: 077fe566-95ff-438f-ae6a-72365628e3f4
Sheet: Sheet1

STATE OF NEVADA | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6
DEPARTMENT OF TRANSPORTATION
FORCE ACCOUNT EQUIPMENT LISTING
Contract No.___________________________________ |  | Project No.___________________________________________________ |  | Date______________________________
Equipment Description And # | Year | Make (Manufacturer) | Model No. | Power Source                         (Gas, Diesel, Etc.) | [NAME] or Weight       Capacity | HP.
NDOT                                                                                         040-033 (10-05) |  | Submitted:  Contractor/Subcontractor |  | By: