tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: phillip_m_love__30140__200005_OA
Sheet: TX-EGM-FLSH

ENRON CAPITAL & TRADE RESOURCES
OPERATIONAL ANALYSIS - REPORTED
COMPANY:  ECTR (EGM)
 |  |  | NGP&L |  | CPR Adjustments |  | 3rd Day CPR |  | [NAME] |  | [NAME]
 |  |  | Volume | $'s | Volume | $'s | Volume | $'s | Volume | $'s | Volume | $'s
 | Sales:
1 |  | 3rd Party / Inter Enron | 12058069 | 38430000.50999999
2 |  | Liquidations | 0 | 0
3 |  | Interdesk | 0 | 0
4 |  | Option Premiums | 0 | 0
5 |  | Dmd Reimbursements | 0 | 0
 | Total Sales: |  | 12058069 | 38430000.50999999
 |  |  | 0 | 0
 | Purchases: |  | 0 | 0
6 |  | 3rd Party / Inter Enron | -7716905 | -24767566.75999999
7 |  | Liquidations | 0 | 0
8 |  | Interdesk | 0 | 0
9 |  | Option Premiums | 0 | 0
10 |  | [NAME] | 16787 | 58072
 | Total Purchases: |  | -7700118 | -24709494.75999999
 |  |  | 0 | 0
 | Intra CTS (EGM / HPL / LRC): |  | 0 | 0
11 |  | Sales | 22328896 | 78557718.52000001
12 |  | Purchases | -23023876 | -81056970.81
 | Total Intra CTS Sales / Purchases |  | -694980 | -2499252.289999992
 |  |  | 0 | 0
 | Imbalances: |  | 0 | 0
13 |  | In Kind | 0 | 0
14 |  | Cash Out | 0 | 0
15 |  | Cash In | 0 | 0
16 |  | Synthetic Storage | 0 | 0
 | Total Imbalances: |  | 0 | 0
 |  |  | 0 | 0
 | Storage: |  | 0 | 0
17 |  | Injection (Sales to Stg) | 0 | 0
18 |  | W/D (Purchase from Stg) | 0 | 0
19 |  | Inventory Profit | 0 | 0
 |  | Total W/D | 0 | 0
 | Total Storage: |  | 0 | 0
 |  |  | 0 | 0
20 | Linepack: |  | 0 | 0
 |  |  | 0 | 0
21 | Shrinkage: |  | 0 | 0
 |  |  | 0 | 0
22 | UA4: |  | -3662971 | -11026707.26756259
 |  |  | 0 | 0
23 | Fuel: |  | -16787 | 0
 |  |  | 0 | 0
 | Transport Expense: |  | 0 | 0
24 |  | Commodity | 0 | -273320
25 |  | Demand | 0 | 0
 | Total Transport Expense: |  | 0 | -273320
 |  |  | 0 | 0
 | Transport Revenue: |  | 0 | 0
26 |  | Interstate | 0 | 0
27 |  | Intrastate | 0 | 0
 | Total Transport Revenue: |  | 0 | 0
 |  |  | 0 | 0
 | Intra CTS (EGM / HPL / LRC): |  | 0 | 0
28 |  | Transport Expense | 0 | 0
29 |  | Transport Revenue | 0 | 0
 | Total Intra CTS Transport |  | 0 | 0
 |  |  | 0 | 0
 | Tie Out Schedule Items: |  | 0 | 0
 |  | MTM Income: | 0 | 0
30 |  | Current Gross Book Balance | 0 | 6550905.180000001
31 |  | Prior Month Book Balance | 0 | 3964572
 |  | Total MTM Income | 0 | 10515477.18
32 |  | Prudency | 0 | 0
33 |  | Financial Liquidations | 0 | -2999678.99
34 |  | Originations | 0 | 14919
35 |  | Broker Fees | 0 | -936
36 |  | Asset Group Demand Charges | 0 | 0
37 |  | [NAME] | 0 | 0
38 |  | Interdesk Charges | 0 | 0
39 |  | Canada | 0 | 0
40 |  | Miscellaneous | 0 | 1037019.6
 |  | TOTAL INTRA-MTH
FT-South Texas
 |  | Current Month MTM | 0
 |  | Financial Liquidations | 0 | 0
 |  | Originations | 0 | 0
 |  | TOTAL FIRM TRADING
 |  | TOTAL NGPL
Spreadsheet: 841753d1693922496-build-a-function-integration-that-will-search-a-defined-list-to-find-the-nearest-5-postcod-example
Sheet: Tab 1 Enter Postcode Here

URN | School Name | Local Authority | Postcode | 1st Nearest School | 2nd Nearest School | 3rd Nearest School | 4th Nearest School | 5th Nearest School
100008
100009
Spreadsheet: 765305d1643276523-find-result-in-data-table-by-multiple-conditions-cooling-power-ans
Sheet: Calculation form

 |  | Warehouse size | 10 | ㎡
 |  | Warehouse height | 2.2 | m
 |  | Panel thickness | 75 | [NAME]
 |  | Outside air temp. | 43 | ℃
 |  | Desirable Internal temp. | 5 | ℃
TODO | How to? -> | Required power |  | kw
 |  | Alternate formula |  | kw
Spreadsheet: 687710d1595357496-compare-data-from-one-sheet-to-another-and-produce-rating-target
Sheet: JULY

MONTHLY  PRODUCTION | JULY
 | 1 |  |  | 2 |  |  | 3 |  |  | 4 |  |  | 5 |  |  | 6 |  |  | 7 |  |  | 8 |  |  | 9 |  |  | 10 |  |  | 11 |  |  | 12 |  |  | 13 |  |  | 14 |  |  | 15 |  |  | 16 |  |  | 17 |  |  | 18 |  |  | 19 |  |  | 20 |  |  | 21 |  |  | 22 |  |  | 23 |  |  | 24 |  |  | 25 |  |  | 26 |  |  | 27 |  |  | 28 |  |  | 29 |  |  | 30 |  |  | 31
 | MACHINE | OUTPUT | RATING | MACHINE | OUTPUT | RATING | MACHINE | OUTPUT | RATING | MACHINE | OUTPUT | RATING | MACHINE | OUTPUT | RATING | MACHINE | OUTPUT | RATING | MACHINE | OUTPUT | RATING | MACHINE | OUTPUT | RATING | MACHINE | OUTPUT | RATING | MACHINE | OUTPUT | RATING | MACHINE | OUTPUT | RATING | MACHINE | OUTPUT | RATING | MACHINE | OUTPUT | RATING | MACHINE | OUTPUT | RATING | MACHINE | OUTPUT | RATING | MACHINE | OUTPUT | RATING | MACHINE | OUTPUT | RATING | MACHINE | OUTPUT | RATING | MACHINE | OUTPUT | RATING | MACHINE | OUTPUT | RATING | MACHINE | OUTPUT | RATING | MACHINE | OUTPUT | RATING | MACHINE | OUTPUT | RATING | MACHINE | OUTPUT | RATING | MACHINE | OUTPUT | RATING | MACHINE | OUTPUT | RATING | MACHINE | OUTPUT | RATING | MACHINE | OUTPUT | RATING | MACHINE | OUTPUT | RATING | MACHINE | OUTPUT | RATING | MACHINE | OUTPUT | RATING | TOTAL OUTPUT | AVE. RATING
A | PRINT1 | 18000 |  | PRINT3 | 34000
B | PRINT2 | 24000 |  | PRINT2 | 19999
C | PRINT3 | 29000 |  | PRINT3 | 12000
D | PRINT2 | 27000 |  | PRINT3 | 25000
Spreadsheet: 329122d1404208768-how-do-i-autopopulate-data-from-1-database-to-another-in-excel-2003-database-1-minor
Sheet: Person 2

Role                   A or ATL | on | off
A | 2
A | 1
A | 1
A | 2
A | 2
A | 1
A | 2
A | 1
A | 1
ATL | 1 | 3
Spreadsheet: 698172d1601826521-vlookup-with-rank-and-if-tournament
Sheet: Teams

 | Round | 1
 | Team |  | Persons | Average
 | [NAME] | 1 | Jaare Pentus | 200.4
 |  | 2 | [NAME] (k) | 184.6
 |  | 3 | [NAME] | 206.6 | HCP
 | Follow | 1 | [NAME]
 |  | 2 | Erki Vatsel
 |  | 3 | [NAME] (k) | 179.4 | HCP
 | [NAME] | 1 | [NAME] | 191.6
 |  | 2 | [NAME] | 199.7
 |  | 3 | [NAME] (k) | 199.6 | HCP
 | [NAME] | 1 | [NAME]
 |  | 2 | [NAME] (k) | 173.9
 |  | 3 | [NAME] | 176.7 | HCP
 | Konnasilm | 1 | [NAME] (k) | 164.1
 |  | 2 | [NAME] | 188.9
 |  | 3 | [NAME] | 167.5 | HCP
 | Tulnukad | 1 | [NAME] (k)
 |  | 2 | [NAME] | 164.6
 |  | 3 | [NAME] |  | HCP
 | Bestikad | 1 | [NAME] (k) | 174.1
 |  | 2 | [NAME] | 122.3
 |  | 3 | [NAME] | 176.4 | HCP
 | Amatöörid | 1 | Marek Tammsoo | 193.1
 |  | 2 | Raili [NAME] (k) | 185.9
 |  | 3 | [NAME] | 200.5 | HCP
Spreadsheet: d89af2af-fca8-4e93-8150-1f99d68e009b
Sheet: Report

Unit | Unit Priority | Objective Name | Strategic Direction | Impact Type | Resource Id | Resource Name | Resource Type | Year 1 Cost | Year 1 Savings | Year 2 Cost | Year 2 Savings | Year 3 Cost | Year 3 Savings | Year 4 Cost | Year 4 Savings
Printing Services | 2 | Four color press | None | -- Pick One -- | 1.1.r1 | [NAME] | OneTime | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
Printing Services | 2 | Four color press | None | -- Pick One -- | 1.1.r2 | Improve customer Satisfaction | OnGoing | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
Printing Services | 4 | implementation | None | -- Pick One --
Printing Services | 4 | implementation | None | -- Pick One --
Spreadsheet: 146367d1332151510-knowing-two-cells-in-a-list-count-the-number-of-cells-levels-between-them-data1-1-
Sheet: Sheet1

 | Start | Finish | Levels
 | 2b | 4c
 | 4a | 4a
 | 4a | 4c
 | 3a | 4c
 | Levels
 | 1a | 1
 | 1b | 2
 | 1c | 3
 | 2a | 4
 | 2b | 5
 | 2c | 6
 | 3a | 7
 | 3b | 8
 | 3c | 9
 | 4a | 10
 | 4b | 11
 | 4c | 12
 | 5a | 13
 | 5b | 14
 | 5c | 15
Spreadsheet: 160673d1339164076-lookup-specific-value-based-on-the-criteria-lookup
Sheet: Sheet1

PSIG | 25 | 25 | 25 | 25 | 25 | 50 | 50 | 50 | 50 | 50
Diameter | 2 | 3 | 4 | 6 | 8 | 2 | 3 | 4 | 6 | 8
ft | lb/hr
5 | 6692 | 18830 | 38310 |  |  | 12030 | 33830 | 68840 |  |  |  | PSIG | ft | Diameter |  | lb/hr
6 | 6106 | 17180 | 34970 |  |  | 10980 | 30880 | 62830 |  |  |  | 25 | 21 | 3 |  | 9156
7 | 5651 | 15900 | 32360 |  |  | 10160 | 28580 | 58160
8 | 5284 | 14870 | 30270 |  |  | 9503 | 26730 | 54390 |  |  |  | Want to pick psig, ft, and diameter and then lb/hr will be given at those conditions. Right now have the ability to pick ft and diameter to give lb/hr at a 25 psig. What formula is needed to also include 50 psig in the search?
9 | 4980 | 14020 | 28530 |  |  | 8958 | 25200 | 51280
10 | 4723 | 13290 | 27060 |  |  | 8496 | 23900 | 48640
11 | 4502 | 12670 | 25800 |  |  | 8100 | 22790 | 46370
12 | 4309 | 12130 | 24690 |  |  | 7753 | 21810 | 44390
13 | 4140 | 11650 | 23720 |  |  | 7448 | 20960 | 42640
14 | 3988 | 11230 | 22850 |  |  | 7176 | 20190 | 41090
15 | 3852 | 10840 | 22070 |  |  | 6932 | 19500 | 39690
16 | 3729 | 10500 | 21370 |  |  | 6711 | 18880 | 38430
17 | 3617 | 10180 | 20730 |  |  | 6509 | 18320 | 37280
18 | 3514 | 9894 | 20140 |  |  | 6325 | 17800 | 36220
19 | 3420 | 9628 | 19600 |  |  | 6156 | 17320 | 35250
20 | 3332 | 9383 | 19100 | 55700 | 113900 | 5999 | 16880 | 34360 | 100100 | 204800
21 | 3251 | 9156 | 18640 | 54350 | 111200 | 5854 | 16470 | 33530 | 97710 | 199800
22 | 3176 | 8944 | 18210 | 53090 | 108600 | 5718 | 16090 | 32750 | 95450 | 195200
23 | 3106 | 8746 | 17810 | 51920 | 106200 | 5592 | 15740 | 32030 | 93350 | 190900
24 | 3040 | 8561 | 17430 | 50820 | 104000 | 5474 | 15410 | 31350 | 91380 | 186900
25 | 2978 | 8386 | 17080 | 49790 | 101900 | 5363 | 15090 | 30720 | 89530 | 183100
26 | 2920 | 8222 | 16740 | 48820 | 99870 | 5258 | 14800 | 30120 | 87780 | 179500
27 | 2864 | 8068 | 16430 | 47900 | 98000 | 5159 | 14520 | 29550 | 86140 | 176200
28 | 2812 | 7921 | 16130 | 47040 | 96220 | 5066 | 14260 | 29020 | 84580 | 173000
29 | 2763 | 7783 | 15850 | 46210 | 94540 | 4977 | 14010 | 28510 | 83100 | 170000
30 | 2716 | 7651 | 15580 | 45430 | 92950 | 4893 | 13770 | 28030 | 81700 | 167100
31 | 2672 | 7526 | 15320 | 44690 | 91430 | 4813 | 13550 | 27570 | 80370 | 164400
32 | 2629 | 7406 | 15080 | 43980 | 89980 | 4737 | 13330 | 27140 | 79100 | 161800
33 | 2589 | 7292 | 14850 | 43310 | 88600 | 4664 | 13130 | 26720 | 77890 | 159300
34 | 2550 | 7183 | 14630 | 42660 | 87290 | 4594 | 12930 | 26320 | 76730 | 156900
35 | 2513 | 7079 | 14420 | 42050 | 86020 | 4528 | 12750 | 25940 | 75620 | 154700
36 | 2477 | 6979 | 14210 | 41450 | 84810 | 4464 | 12570 | 25580 | 74560 | 152500
37 | 2443 | 6884 | 14020 | 40890 | 83650 | 4403 | 12390 | 25230 | 73540 | 150400
38 | 2411 | 6792 | 13830 | 40340 | 82540 | 4344 | 12230 | 24890 | 72560 | 148400
39 | 2379 | 6703 | 13650 | 39820 | 81470 | 4288 | 12070 | 24570 | 71620 | 146500
40 | 2349 | 6618 | 13480 | 39310 | 80440 | 4234 | 11920 | 24260 | 70720 | 144700
41 | 2320 | 6536 | 13310 | 38830 | 79450 | 4181 | 11770 | 23960 | 69850 | 142900
Spreadsheet: 790422d1659702319-averageifs-formula-not-functioning-table-test-4
Sheet: Sheet1

Name | Year | Score 1 | Score 2 |  |  | Year | Score 1 | Score 2 |  | Year | Score 1 | Score 2
1 | 2016-2017 | 97 | 101 |  | AVERAGE | 2016-2017 |  |  |  | 2016-2017 | 105.4 | 112.6
2 | 2016-2017 | 102 | 102 |  | AVERAGE | 2017-2018 |  |  |  | 2017-2018 | 112.5555555555556 | 122.5555555555556
3 | 2016-2017 | 120 | 116 |  | AVERAGE | 2018-2019 |  |  |  | 2018-2019 | 111.7142857142857 | 118.4285714285714
4 | 2016-2017 | 111 | 123
5 | 2016-2017 | 115 | 125
6 | 2016-2017 | 89 | 100
7 | 2016-2017 | 114 | 126
8 | 2016-2017 | 107 | 110
9 | 2016-2017 | 99 | 111
10 | 2016-2017 | 100 | 112
11 | 2017-2018 | 86 | 111
12 | 2017-2018 | 118 | 126
13 | 2017-2018 | 114 | 128
14 | 2017-2018 | 131 | 123
15 | 2017-2018 | 109 | 126
16 | 2017-2018 | 120 | 125
17 | 2017-2018 | 113 | 122
18 | 2017-2018 | 123 | 129
19 | 2017-2018 | 99 | 113
20 | 2018-2019 | 112 | 124
21 | 2018-2019 | 111 | 119
22 | 2018-2019 | 116 | 114
23 | 2018-2019 | 114 | 124
24 | 2018-2019 | 101 | 100
25 | 2018-2019 | 115 | 125
26 | 2018-2019 | 113 | 123
Spreadsheet: 228388d1366105079-please-help-me-d-quotation
Sheet: Quotation

 |  | Order Quotation
 |  |  |  | Transfer
 |  | [NAME]
 |  | Products | Units Ordered | Unit Price | Art work Cost per Unit | Cost per Unit | Product Total
 |  | Fleece | 5 | 17.75
 |  | Hardshell | 20 | 40
 |  | Softshell | 14 | 21.55
 |  |  |  |  |  | Bagging | 0.25
 |  |  |  |  |  | Shipping | 5.99
 |  |  |  |  |  | Machine set-up | 35
 |  |  |  |  |  | VAT | 0.2
 |  |  |  |  |  | Grand Total
 |  |  |  |  | Member Charges | Fleece
 |  |  |  |  |  | Hardshell
 |  |  |  |  |  | Softshell |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Embroidery
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Transfer
Spreadsheet: 117384d1312753232-excel-2007-extracting-certain-weekdays-in-a-month-extracting-certain-weekdays-in-a-month
Sheet: Sheet1

Select Year | 2011 | Select Month | September | Select Days | Tuesday,Thursday |  |  |  | 2011 | January | Monday
 |  |  |  |  |  |  |  |  | 2012 | February | Tuesday
 |  |  |  |  |  |  |  |  | 2013 | March | Wednesday
[NAME] |  |  |  |  |  |  |  |  |  | April | Thursday
 |  |  |  |  |  |  |  |  |  | May | Friday
 |  |  |  |  |  |  |  |  |  | June | Saturday
 |  |  |  |  |  |  |  |  |  | July | Sunday
 |  |  |  |  |  |  |  |  |  | August
 |  |  |  |  |  |  |  |  |  | September
 |  |  |  |  |  |  |  |  |  | October
 |  |  |  |  |  |  |  |  |  | November
 |  |  |  |  |  |  |  |  |  | December
Spreadsheet: 08f9f6cf-aeb3-47e7-a318-0555c45e54ed
Sheet: Sheet1

Sex Offenses | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7
Offense Type
by Location, 2011
Location | Total Offenses | Offense Type
 |  | Forcible |  |  |  | Nonforcible
 |  | Forcible Rape | Forcible Sodomy | Sexual Assault with an Object | Forcible Fondling | Incest | Statutory Rape
Total | 76121 | 27023 | 7227 | 2951 | 32155 | 1152 | 5613
Abandoned/Condemned Structure | 6 | 4 | 0 | 0 | 1 | 0 | 1
Air/Bus/Train Terminal | 191 | 27 | 13 | 2 | 145 | 0 | 4
Amusement Park | 6 | 1 | 0 | 0 | 5 | 0 | 0
Arena/Stadium/Fairgrounds/Coliseum | 6 | 1 | 0 | 0 | 5 | 0 | 0
ATM Separate From Bank | 2 | 0 | 0 | 0 | 2 | 0 | 0
Auto Dealership New/Used | 6 | 3 | 0 | 0 | 2 | 0 | 1
Bank/Savings and Loan | 17 | 0 | 7 | 0 | 9 | 0 | 1
Bar/Nightclub | 493 | 193 | 24 | 16 | 260 | 0 | 0
Camp/Campground | 67 | 22 | 7 | 2 | 31 | 0 | 5
Church/Synagogue/Temple/Mosque | 278 | 62 | 28 | 7 | 173 | 1 | 7
Commercial Office Building | 464 | 113 | 44 | 13 | 271 | 1 | 22
Construction Site | 12 | 6 | 2 | 0 | 4 | 0 | 0
[NAME] | 163 | 22 | 13 | 4 | 118 | 0 | 6
Daycare Facility | 27 | 2 | 8 | 1 | 15 | 0 | 1
Department/Discount Store | 240 | 24 | 27 | 9 | 175 | 0 | 5
Dock/Wharf/Freight/Modal Terminal | 2 | 1 | 0 | 0 | 1 | 0 | 0
Drug Store/Dr.'s Office/Hospital | 746 | 200 | 79 | 15 | 437 | 1 | 14
Farm Facility | 5 | 2 | 0 | 0 | 3 | 0 | 0
Field/Woods | 1462 | 731 | 151 | 51 | 388 | 7 | 134
Gambling Facility/Casino/Race Track | 3 | 0 | 0 | 0 | 3 | 0 | 0
Government/Public Building | 796 | 220 | 56 | 35 | 316 | 47 | 122
Grocery/Supermarket | 104 | 21 | 10 | 0 | 72 | 0 | 1
Highway/Road/Alley/Street | 3399 | 1449 | 283 | 111 | 1395 | 8 | 153
Hotel/Motel/etc. | 1754 | 1052 | 132 | 62 | 383 | 14 | 111
Industrial Site | 8 | 1 | 0 | 0 | 7 | 0 | 0
Jail/Prison | 395 | 39 | 148 | 15 | 190 | 1 | 2
Lake/Waterway | 106 | 42 | 13 | 4 | 40 | 0 | 7
[NAME] | 17 | 1 | 1 | 0 | 15 | 0 | 0
Military Installation | 2 | 1 | 0 | 0 | 1 | 0 | 0
Park/Playground | 176 | 71 | 17 | 1 | 75 | 0 | 12
Parking Lot/Garage | 1408 | 660 | 130 | 45 | 442 | 3 | 128
Rental Storage Facility | 52 | 21 | 4 | 1 | 19 | 1 | 6
Residence/Home | 54027 | 19361 | 5331 | 2180 | 22046 | 1012 | 4097
Rest Area | 64 | 28 | 6 | 1 | 29 | 0 | 0
Restaurant | 385 | 68 | 19 | 11 | 276 | 0 | 11
School/College | 2416 | 341 | 154 | 81 | 1643 | 7 | 190
School – College/University | 106 | 41 | 3 | 4 | 58 | 0 | 0
School – Elementary/Secondary | 1090 | 150 | 84 | 25 | 805 | 2 | 24
Service/Gas Station | 116 | 26 | 9 | 2 | 76 | 0 | 3
Shelter – Mission/Homeless | 10 | 1 | 1 | 1 | 6 | 0 | 1
Shopping Mall | 321 | 141 | 19 | 15 | 134 | 1 | 11
[NAME] (TV, [NAME], etc.) | 212 | 45 | 16 | 6 | 142 | 0 | 3
[NAME] | 0 | 0 | 0 | 0 | 0 | 0 | 0
Other/Unknown | 4961 | 1829 | 388 | 231 | 1937 | 46 | 530
Spreadsheet: 36764d1234696378-change-date-time-zone-excelreport
Sheet: excelReport

# [NAME] | Date | Duration | Transaction | Pair | Price | Units | Stop Loss | Take Profit | Trailing Stop (Pipettes) | [NAME] | Lower Bound | [NAME] | Interest | P/L | Amount | Balance
# 609857883 | February 8 16:00:00 2009 |  | Interest | AUD |  |  |  |  |  |  |  |  | 1.9092 |  | 1.9092 | 22124.72
# 609918801 | February 9 00:10:42 2009 | February 9 03:10:39 2009 | [NAME] | EUR/USD | 1.295 | 100000 | 1.2957 |  |  |  |  |  |  |  |  | 22124.72
# 609918818 | February 9 00:11:04 2009 |  | Order Cancelled | EUR/USD | 1.295 | 100000 | 1.2957 |  |  | 609918801 |  |  | 0 |  | 0 | 22124.72
# 609918848 | February 9 00:11:57 2009 | February 9 03:11:45 2009 | [NAME] | EUR/USD | 1.294 | 100000 | 1.2953 |  |  |  |  |  |  |  |  | 22124.72
# 609918958 | February 9 00:13:31 2009 |  | Sell Market Filled | EUR/USD | 1.294 | 100000 | 1.2953 |  |  |  |  |  |  |  | 0 | 22124.72
# 609918959 | February 9 00:13:31 2009 |  | Order Filled | EUR/USD | 1.294 | 100000 | 1.2953 |  |  | 609918848 |  |  |  |  |  | 22124.72
# 609919184 | February 9 00:14:10 2009 |  | Change Trade | EUR/USD | 1.294 | 100000 | 1.2947 |  |  | 609918958 |  |  | 0 | 0 | 0 | 22124.72
# 609919409 | February 9 00:16:35 2009 |  | Change Trade | EUR/USD | 1.294 | 100000 | 1.2941 |  |  | 609918958 |  |  | 0 | 0 | 0 | 22124.72
# 609919519 | February 9 00:16:50 2009 |  | Change Trade | EUR/USD | 1.294 | 100000 | 1.294 |  |  | 609918958 |  |  | 0 | 0 | 0 | 22124.72
Spreadsheet: ea4ef165-2529-475c-98cb-f686e5dff555
Sheet: Sheet1

analytica 2012 - List of exhibitors | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5
 | Search by product and service index (30 Entries):
 | 1 Applications 1.5 Solids analysis
No. | Company | Country | City | [NAME] | Hall/Booth
1 | ABB Automation GmbH Sales FTIR-NIR | Germany | Frankfurt am Main | 60488 | A2.108
2 | Agilent Technologies Sales & Services GmbH & Co. [NAME] | Germany | Waldbronn | 76337 | A2.105/206
3 | analyticon instruments gmbh | Germany | Rosbach | 61191 | A2.439
4 | Axel Semrau GmbH & Co. [NAME] | Germany | Sprockhövel | 45549 | A2.312
5 | [NAME] und Analysentechnik GmbH | Germany | Haar | 85540 | [NAME]
6 | [NAME] | France | [NAME] | 27106 | [NAME]
7 | Fibracon : Insoll Machined Plastics | United Kingdom | High Peak | SK23 0QZ | B2.314
8 | Helmut Fischer GmbH Institut für Elektronik und [NAME] | Germany | Sindelfingen | 71069 | A1.204
9 | Gabo Qualimeter Testanlagen GmbH | Germany | Ahlden | 29693 | A1.135
10 | GERSTEL GmbH & Co. [NAME] | Germany | Mülheim an der Ruhr | 45473 | A1.323/424
11 | InfraServ GmbH & Co. [NAME]Analytik Services | Germany | Hürth | 50354 | A1.315
12 | IRMM | Belgium | Geel | 2440 | A1.534
13 | ISITEC-LAB | France | [NAME] | 82000 | A1.445
14 | Jasco Europe s.r.l. | Italy | Cremella | 23894 | A2.121/220
15 | [NAME] systems GmbH | Germany | Moers | 47445 | A2.221/322
16 | JSB BV | Netherlands | Eindhoven | 5653 [NAME] | A2.130
17 | LabCognition Analytical Software GmbH & Co. [NAME] | Germany | Köln | 50825 | A2.403
18 | LECO Instrumente GmbH | Germany | Mönchengladbach | 41199 | A1.324
19 | LEONI Fiber Optics GmbH | Germany | Neuhaus-Schierschnitz | 96524 | A2.234
20 | LLA Instruments GmbH | Germany | Berlin | 12489 | A2.435
21 | L.U.M. GmbH | Germany | Berlin | 12489 | A1.526
22 | Mettler-Toledo GmbH | Germany | Gießen | 35396 | A2.101/202
23 | Netzsch-Gerätebau GmbH | Germany | Selb | 95100 | A1.301
24 | Sentronic GmbH | Germany | Dresden | 01217 | A2.423
25 | Shimadzu Deutschland GmbH | Germany | Duisburg | 47269 | [NAME]
26 | Spectruma Analytik GmbH | Germany | Hof | 95028 | A2.428
27 | S.T. Japan-Europe GmbH | Germany | Frechen | 50226 | A2.403
28 | Thass Thermal Analysis & Surface Solutions GmbH | Germany | Friedberg | 61169 | A1.227
29 | Thermo Scientific | Germany | Dreieich | 63303 | B1.101/202
30 | Unity Scientific GmbH | Germany | [NAME] | 40549 | A1.406
Spreadsheet: 2a2748b5-d80d-4f64-9aaf-796d18f8db3f
Sheet: 4-8 Generalist Content

 | New Test (200 Questions) | Old Test (130 Questions) | 2012/2013 % Correct | 2011/2012 % Correct
D1: English Language Arts | 0.37 | 0.31 | 0.56 | 0.53
D2: Mathematics | 0.21 | 0.23 | 0.48 | 0.57
D3: Social Studies | 0.21 | 0.23 | 0.48 | 0.55
D4: Science | 0.21 | 0.23 | 0.5 | 0.58
Spreadsheet: 807220d1669807415-kind-of-double-vlookup-sky
Sheet: Sheet1

Country | Area | Cost | Sell Price
UK | North | 3 | 5
UK | South | 6 | 9
China | North | 10 | 15
China | South | 20 | 30
Spreadsheet: 866575d1713484987-not-transferring-employee-names-to-main-sheets-employee-absence-schedule
Sheet: February

 | Employee absence schedule
 | February
 | Absence type key | V | Vacation |  |  | P | Personal |  |  | S | Sick |  |  | Custom 1 |  |  |  | Custom 2
 |  | Dates of absence
 | Employee name | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 |  |  | Total days
 | [NAME] |  |  | V | V | V | V |  |  |  |  |  |  | V
 | [NAME] |  |  |  |  | S | S |  |  |  |  | P |  |  |  |  |  |  |  |  | S |  |  |  |  | V | V | V
 | Asaf Karten
 | [NAME] |  |  | S |  |  |  |  |  |  |  |  |  |  | S |  |  |  | P |  |  |  |  |  |  |  |  |  | S
 | [NAME] |  |  |  |  |  |  |  | V | V | V | V |  |  |  |  |  |  |  |  |  |  |  |  | S
Spreadsheet: 0e3993b5-e326-48ae-9637-95139196bc3d
Sheet: Sheet1

Table 3--Soybean oil:  U.S. supply and disappearance | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11
 | Supply |  |  |  |  | Disappearance
Year beginning | Beginning | Production | Imports | Total |  | Domestic |  |  | Exports | Total | Ending
October 1 | stocks |  |  |  |  | Total | Biodiesel | Food |  |  | stocks
 | Million pounds
2010/11 | 3405.78 | 18887.58252 | 159.001 | 22452.36352 |  | 16794.32052 | 2737 | 14057.32052 | 3232.696 | 20027.01652 | 2425.347
2011/121 | 2425.347 | 19740 | 149.294 | 22314.641 |  | 18310.278 | 4900 | 13410.278 | 1464.363 | 19774.641 | 2540
2012/132 | 2540 | 18700 | 350 | 21590 |  | 17900 | 4900 | 13000 | 2150 | 20050 | 1540
1 Estimated.  2 Forecast.
Source: USDA, World Agricultural Outlook Board, World Agricultural Supply and Demand Estimates.
Last update: | 2013-01-15 11:16:53.960000
Spreadsheet: 103100d1300914305-dynamic-data-validation-using-two-word-names-and-auto-updating-outputs-based-on-imput-datavalidation
Sheet: PRODUCTS

product name | type (use drop down) | hair type
LABEL.M | Select using drop down | select sub type
Label. M Treatment Shampoo (300Ml) | BrushesandCombs | Normal
Label. M Gentle Cleansing Shampoo (300Ml)
Label. M Deep Cleansing Shampoo (300Ml)
Label. M Intensive Repair Shampoo (300Ml)
Label. M Organic Lemongrass Shampoo (200Ml)
Label. M Honey & Oat Shampoo (300Ml)
Label. M Colour Stay Shampoo (300Ml)
Label. M Label.Men Daily Moisturising Shampoo 300Ml
Label. M Moisturising Conditioner (300Ml)
Label. M Leave-In Conditioner (300Ml)
Label. M Peppermint Treatment (150Ml)
Label. M Daily [NAME] (300Ml)
Label. M Intensive Repair Conditioner (300Ml)
Label. M Organic Lemongrass Conditioner (300Ml)
Label. M Honey & Oat Conditioner (300Ml)
Label. M Colour Stay Conditioner (300Ml)
Label. M Intensive Mask (120Ml)
Label. M Protein Spray (250Ml)
Label. M [NAME] (125Ml)
Label. M Blow Out Spray (200Ml)
Label. M Matte Paste (50Ml)
Label. M Matte Paste (120Ml)
Label. M Sea Salt Spray (200Ml)
Label. M Smoothing Cream (150Ml)
Label. M Hair Glue (100Ml)
Label. M Relaxing Balm (150Ml)
Label. M Gel (50Ml)
Label. M Hair Polish (100Ml)
Label. M Thickening Cream (100Ml)
Label. M [NAME] (100Ml)
Label. M Curl Cream (150Ml)
Label. M Souffle (120Ml)
Label . M Shaper (50Ml)
Label. M Shaper (120Ml)
Label. M Curl Spray (200Ml)
Label. M Volume Foam
Label .M Strong Wax
Label. M Wax Stick (65Ml)
Label. M Hairspray (300Ml)
Label. M Volume Mousse (200Ml)
Label. M Dry Shampoo (200Ml)
Label. M [NAME] (200Ml)
Label. M Extra Strong Mousse (200Ml)
Label. M Frizz Control Serum (30Ml)
Label. M Mud Clay (50Ml)
Label. M [NAME] (50Ml)
Label. M Ressurection Style Dust
Label. M Ressurection Style Dust - Salon Size
Label. [NAME]
Label. [NAME]
Label. [NAME]
Label. M Warming Oil Treatment (4 X 15Ml)
Label. M Heat Protection Spray (200Ml)
Label. M Hold And Gloss Spray (200Ml)