tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 631186c4-d601-4791-b5ba-3fc65093da29
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | TIB-The Independent BankersBank | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | .25 cost to Price to Waive Escrows | Unnamed: 7
 |  | 350 [NAME]., [NAME] |  |  |  | LTV must be 80% or less to qualify.
 |  | [PHONE] Toll Free//[PHONE] fax
 |  | Rate Sheet Effective: |  |  | 2011-02-24 09:32:28.710000
Product: Conv-Conforming Fixed Rate 30 Year |  |  |  |  |  | Loan Level Price Adjustment
Rate | 15 Day | 30 Day | 45 Day | 60 Day |  | Price adjustments are cumulative
5.25 | 101.75 | 101.75 | 101.625 | 101.125 |  | and are added to price quote
5.125 | 100.834 | 100.834 | 100.709 | 100.209
5 | 100.047 | 100.047 | 99.922 | 99.422 |  | Note: | Refer To Price [NAME]
4.875 | 99.95299999999999 | 99.95299999999999 | 99.82799999999999 | 99.32799999999999 |  |  | For all Price Adjs
4.75 | 99.055 | 99.055 | 98.93
4.625 | 97.862 | 97.862 | 97.737
Product: Conv-Conforming Fixed Rate 15 Year
Rate | 15 Day | 30 Day | 45 Day | 60 Day
4.625 | 101.75 | 101.75 | 101.625 | 101.125
4.5 | 101.434 | 101.434 | 101.309 | 100.809
4.375 | 101.044 | 101.044 | 100.919 | 100.419
4.25 | 100.536 | 100.536 | 100.411 | 99.911
4.125 | 99.283 | 99.283 | 99.158
 |  |  |  |  |  | Minimum loan amount:
 |  |  |  |  |  | TIB does not have a minimum loan
 |  |  |  |  |  | loan amount, however a 1.00% price
 |  |  |  |  |  | discount will apply to loan amounts
 |  |  |  |  |  | less than $39,999.00
 |  |  |  |  |  | 2010 Conforming Loan Limits
 |  |  |  |  |  | 1 Unit-$417,000
 |  |  |  |  |  | 2 Unit-$533,850
 |  |  |  |  |  | 3 Unit-$645,300
 |  |  |  |  |  | 4 Unit-$801,950
A SERVICE RELEASE PREMIUM WILL BE PAID IN [NAME] WITH THE ATTACHED SCHEDULE.
 |  | TIB-The Independent BankersBank
 |  | 350 [NAME]., [NAME]
 |  | [PHONE] Toll Free//[PHONE] fax
 |  | Rate Sheet Effective: |  |  | 2011-02-24 09:32:28.710000
 |  |  |  |  |  | Loan Level Price Adjustment
Rate | 15 Day | 30 Day | 45 Day |  |  | Price adjustments are cumulative
 |  |  |  |  |  | & adj. Made to the price quote
EXPIRATION DATES:
15 DAY | 2011-03-10 09:32:28.710000
30 DAY | 2011-03-25 09:32:28.710000
45 DAY | 2011-04-09 09:32:28.710000
60 DAY | 2011-04-24 09:32:28.710000
90 DAY | 2011-05-24 09:32:28.710000
A SERVICE RELEASE PREMIUM WILL BE PAID IN [NAME] WITH THE ATTACHED SCHEDULE.
Spreadsheet: 150945d1334745203-excel-2007-a-need-for-multiple-formulae-none-of-which-i-understand-825135b
Sheet: Sheet1

Row 2 might read: 1F - Adam - Bobs Dog - Bill's Horse - Cat - Dog - Bee - Frankel - Cow - Ant - Zoo - Ann - Sue - Paul
Row 3 might read: 2F - Brian - Cat - Stoat - Dog - Badger - Cod - Ryan - Cow - Ant - Zoo - Sue - Ann - Crow
ID | Owner | Horse1 | Horse2 | Horse3 | Horse4 | Horse5 | Horse6 | Horse7 | Horse8 | Horse9 | Horse10 | Horse11 | Horse12
1F | Adam | Bobs Dog | [NAME] Horse | Cat | Dog | Bee | Frankel | Cow | Ant | Zoo | [NAME] | Sue | [NAME]
2F | [NAME] | Cat | Stoat | Dog | Badger | Cod | [NAME] | Cow | Ant | Zoo | Sue | [NAME] | Crow
 | Row | Col | ID | Horse | UniqueHorse | 1F | 2F
Spreadsheet: 133538d1324472380-excel-2007-combine-multiple-files-to-one-table-2009-2010
Sheet: 2010-07-02

Account | Copies | Prints | Scans
0 | 0 | 0 | 0
0 | 0 | 0 | 0
842 | 0 | 0 | 0
1065 | 0 | 0 | 0
1066 | 640 | 683 | 0
1105 | 0 | 0 | 0
1163 | 721 | 552 | 0
1340 | 0 | 0 | 0
1646 | 0 | 0 | 0
1667 | 953 | 262 | 0
10493 | 0 | 0 | 0
10555 | 210 | 0 | 0
Spreadsheet: 45062d1243861835-cell-formatting-issue-sheet-agreement-when-sorted-training-data-dummy
Sheet: All Employees

EMPLOYEE NAME | Orientation Safety Checklist | Operators Manual | Employee Manual | WHMIS 07 | WHMIS 08 | WHMIS 09 | OH&SA 05 | OH&SA | Health & Safety Policy 05 | Health & Safety Policy 07/ 08
Smith, [NAME] |  |  |  |  | 2008-05-21 00:00:00 | 2009-04-15 00:00:00
[NAME] |  |  |  | 2007-04-25 00:00:00 |  | 2009-04-21 00:00:00 |  | 2007-04-24 00:00:00
[NAME], Pino |  |  |  | 2007-04-30 00:00:00 | 2008-05-27 00:00:00 | 2009-04-15 00:00:00 |  | 2007-04-30 00:00:00
Wiebe, [NAME] |  |  |  | 2007-04-25 00:00:00 |  | 2009-04-21 00:00:00 |  | 2008-02-27 00:00:00 |  | 2008-02-27 00:00:00
Dendron, Phila |  |  |  | 2007-04-30 00:00:00 | 2008-05-27 00:00:00 | 2009-04-15 00:00:00 |  | 2007-04-30 00:00:00
Smith, Kathy |  | 2007-03-07 00:00:00 | 2007-03-07 00:00:00 | 2007-03-07 00:00:00 | 2008-03-31 00:00:00 |  |  | 2007-03-07 00:00:00 |  | 2007-03-07 00:00:00
[NAME], [NAME] |  | 2007-03-19 00:00:00 | 2007-03-19 00:00:00 | 2007-03-19 00:00:00 | 2008-03-31 00:00:00 |  |  | 2007-03-19 00:00:00 |  | 2007-03-19 00:00:00
[NAME], Apple
Cruise, [NAME] |  | 2007-03-19 00:00:00 | 2007-03-19 00:00:00 | 2007-03-19 00:00:00 | 2008-03-28 00:00:00 |  |  | 2007-03-19 00:00:00 | 2005-04-12 00:00:00 | 2007-03-14 00:00:00
Fin, Para
Spreadsheet: 215741d1361467018-msgbox-to-pop-up-if-there-is-particular-text-in-cell-sample
Sheet: Sheet1

S.No. | EMPLOYEE  CODE | Name | Cost Centre | [NAME] | Location | Date of release | Date Of Joining | Appointment Letter Issue Date | Date Of Confirmation | Confirmation Letter Status | [NAME]? | Confirmation Letter Issue Date
1 | HOL0001 | ABC | corporate |  |  |  | 2009-07-01 00:00:00 |  | 2009-09-29 00:00:00 |  | Sent | 2009-12-28 00:00:00
2 | HOL0071 | DEF | corporate |  |  |  | 2013-06-01 00:00:00 |  | 2013-08-30 00:00:00 |  |  | 2013-11-28 00:00:00
3 |  | GHI |  |  |  |  | 2012-07-01 00:00:00 |  | 2012-09-29 00:00:00 |  |  | 2012-12-28 00:00:00
Spreadsheet: 172709d1344305750-if-condition-and-return-a-specific-number-many-if-condition-1-
Sheet: Sheet1

Material | U/P Original Curr. | Origin Cur | U/P Convert to RMB | Amount |  |  |  |  | CURRENCY | RATES
A | 1.2 | HKD |  | 0.98304 |  |  |  |  | HKD | 0.8192
B | 0.88 | HKD |  | 0.7208960000000001 |  |  |  |  | USD | 4.82
C | 3 | USD |  | 14.46 |  |  |  |  | SGD | 1.2
D | 4 | EUR |  | 5.2 |  |  |  |  | EUR | 1.3
E | 2.1 | SGD | NO NEED FOR THIS | 2.52
F | 3.2 | SGD | PART | 3.84
G | 3 | USD |  | 14.46
 |  |  |  | direct with out the D column |  |  |  | I have put a table where you can easyly change the rates.
My Question is if the origin currency in Col C,  is USD, EUR & SGD then Col D, will auto be 6.355, 8.592, 4.82)
 | Look second sheet2
Spreadsheet: 847676d1698515384-look-up-and-return-row-sample
Sheet: Sheet1

 | FRI | 5:00:00 | 2023-10-27 05:00:00 | 14339.5 | 63.5
 | FRI | 9:45:28 | 2023-10-27 09:45:28 | 14357 | 55
 | FRI | 9:49:25 | 2023-10-27 09:49:25 | 14292 | -65
 | FRI | 10:07:20 | 2023-10-27 10:07:20 | 14358.25 | 64.5
 | FRI | 10:09:36 | 2023-10-27 10:09:36 | 14293.75 | -64.5
 | FRI | 10:14:15 | 2023-10-27 10:14:15 | 14369.5 | 75.75
 | FRI | 10:19:33 | 2023-10-27 10:19:33 | 14308.5 | -61
 | FRI | 10:26:35 | 2023-10-27 10:26:35 | 14359 | 50.5
 | FRI | 10:42:37 | 2023-10-27 10:42:37 | 14274 | -77.75
 | FRI | 11:00:00 | 2023-10-27 11:00:00 | 14336.75 | 62.75
 | FRI | 11:17:15 | 2023-10-27 11:17:15 | 14404.75 | 68
 | FRI | 11:34:25 | 2023-10-27 11:34:25 | 14351.25 | -56.5
 | FRI | 12:27:34 | 2023-10-27 12:27:34 | 14314 | -58.5
 | FRI | 13:00:00 | 2023-10-27 13:00:00 | 14304 | -51.75
 | FRI | 13:18:33 | 2023-10-27 13:18:33 | 14236.75 | -67.25
 | FRI | 14:17:03 | 2023-10-27 14:17:03 | 14267.5 | 55.25
 | FRI | 14:24:36 | 2023-10-27 14:24:36 | 14215.75 | -51.75
 | FRI | 14:45:33 | 2023-10-27 14:45:33 | 14284.75 | 69
 | FRI | 14:58:45 | 2023-10-27 14:58:45 | 14214 | -70.75
 | FRI | 15:40:15 | 2023-10-27 15:40:15 | 14209.75 | -58
Spreadsheet: 741356d1626985071-formula-to-look-into-sheet-named-here-and-extract-values-into-columns-in-sheet-named-output-extract-values-kvs-mod
Sheet: Here

S/N | Name + Unique # | Name | Sales # | Sales Code | Sales #-1 | Sales #-2 |  |  | Condition | Helper 1 | Helper 2
15 | Desk, Vest - 15 | Desk, Vest | 1234567 | BPC | 1 | 1 |  |  | TNT
1 | Dentist, Coming - 1 | Dentist, Coming | 9999999 | ABB | 1 | 2 |  |  | YTN
1 | Dentist, Coming - 1 | Dentist, Coming | 9999999 | BPC | 1 | 1 |  |  | PNT
1 | Dentist, Coming - 1 | Dentist, Coming | 9999999 | PNT | 2 | 2
2 | Difee, Leopard - 2 | Difee, Leopard | 8888888 | CDE | 1 | 1
2 | Difee, Leopard - 2 | Difee, Leopard | 8888888 | YTN | 2 | 2
4 | [NAME], Mikel - 4 | [NAME], Mikel | 7777777 | ABC | 1 | 1
4 | [NAME], Mikel - 4 | [NAME], Mikel | 7777777 | BPC | 1 | 1
4 | [NAME], Mikel - 4 | [NAME], Mikel | 7777778 | PNT | 1 | 1
5 | Aba, Baba - 5 | Aba, Baba | 4444444 | KGD | 2 | 2
5 | Aba, Baba - 5 | Aba, Baba | 4444444 | MKU | 2 | 2
Spreadsheet: frank_ermis__11186__West NatGas Prices 1112
Sheet: Gas Average PhyIdx

PhyIdx Curves
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | WEST NATURAL GAS PRICES- Phy Idx
 |  | AS OF
 |  |  |  |  |  |  |  |  |  | Last-Day | Cash | Cash | Change | BOM | BOM | Change | Prompt Month | Change | Q4 | Change | Winter 2001-02 | Change | Q1 | Change | Q2 | Change | Summer 2002 | Change | Q3 | Change | Q4 | Change | Winter 2002-03 | Change
 |  |  |  |  |  |  |  |  |  | Cash Settle | Price | Spread |  | Price | Spread |  |  |  | 2001 |  | Nov-01/Mar-02 |  | 2002 |  | 2002 |  | Apr-02/Oct-02 |  | 2002 |  | 2002 |  | Nov-02/Mar-03
 |  | California Region Notional
 |  |  |  |  | Sheet Name | Row Num for CurveName | Column Letter for Date
 |  |  |  | Basis | IndexCurves | 13 | B
 |  | Gas Trading |  | IntraMonth | CurveFetch | 4 | D
 |  |  |  |  |  |  |  |  | IntraMonth
 |  |  |  | IntraMonth Hub Curve | IF-HEHUB
 |  |  |  | IntraMonth Month
 |  |  |  |  |  |  |  |  | Date Start |  |  |  |  |  |  |  |  |  | 2001-10-01 00:00:00 |  |  |  | 2002-01-01 00:00:00 |  | 2002-04-01 00:00:00 |  | 2002-04-01 00:00:00 |  | 2002-07-01 00:00:00 |  | 2002-10-01 00:00:00 |  | 2002-11-01 00:00:00
 |  |  |  |  |  |  |  |  | Date End |  |  |  |  |  |  |  |  |  | 2001-12-01 00:00:00 |  | 2002-03-01 00:00:00 |  | 2002-03-01 00:00:00 |  | 2002-06-01 00:00:00 |  | 2002-10-01 00:00:00 |  | 2002-09-01 00:00:00 |  | 2002-12-01 00:00:00 |  | 2003-03-01 00:00:00
 |  | WEST REGION BASIS NOTIONAL |  | Intra-Month | Basis |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | IntraMonth Match |  | Basis Match
 |  | NGI-PGE/CG |  | NGI-PGE/CG | NGI-PGE/CG |  |  |  |  |  |  |  |  |  |  |  |  |  |  | -0.043 |  |  |  | -0.0483 |  | -0.01 |  |  |  | -0.045 |  | -0.03
 |  | NGI-PGE/TOPOCK |  | NGI-PGE/TOPOCK | NGI-PGE/TOPOCK
 |  | NGI-MALIN |  | NGI-MALIN | NGI-MALIN
 |  | NGI-SOCAL |  | NGI-SOCAL | NGI-SOCAL
 |  | Southwest Region Notional
 |  | SAN JUAN |  | IF-ELPO/SJ | IF-ELPO/SJ
 |  | ELPO/PERMIAN |  | IF-ELPO/PERMIAN | IF-ELPO/PERMIAN
 |  | WAHA |  | IF-WAHA-TX | IF-WAHA-TX
 |  | NGPL/MIDCON |  | IF-NGPL/MIDCON | IF-NGPL/MIDCON
 |  | Northwest Region Notional
 |  | OPAL |  | IF-NWPL_ROCKY_M | IF-NWPL_ROCKY_M
 |  | STANFIELD |  | NW-STANFIELD | NW-STANFIELD
 |  | SUMAS |  | IF-NWPL/CNBR-US | IF-NTHWST/CANBR
 |  | AECO |  | CGPR-AECO/USIM | CGPR-AECO/BASIS
 |  | CIG |  | IF-CIG/RKYMTN | IF-CIG/RKYMTN
 |  | Ontario Region Notional
 |  | Central Region Notional
 |  | East & Texas Region Notional
 |  | Nymex
 |  | Nymex |  | IF-HEHUB | NG |  |  |  |  |  |  |  |  |  |  |  |  | 0 |  |  |  | 0 |  |  |  |  |  | 0 |  |  |  |  |  | 0
Spreadsheet: 695271d1600118472-max-if-formula-to-show-if-more-than-two-pay-periods-occur-in-a-given-month-vacation-rollover-calculator-forum-safe
Sheet: Lookups

Years of Service Begin | Years of Service End | Hours Earned /pay period | Hours Earned /year |  |  | [NAME] in Calculator
0 | 5 | 3.7 | 96
5.001 | 6 | 4.62 | 120 |  | Title | [NAME] | Notes
6.001 | 7 | 4.93 | 128 |  | [NAME] of Year |  | Identifes the last pay day before the New Year. Current year is decided from "Last Pay Stub Date"; which is  a required input from user
7.001 | 8 | 5.24 | 136
8.001 | 9 | 5.54 | 144
9.001 | 10 | 5.85 | 152
10.001 | 11 | 6.16 | 160
11.001 | 12 | 6.47 | 168
12.001 | 13 | 6.77 | 176
13.01 | 14 | 7.08 | 184
14.001 | 15 | 7.39 | 192
15.001 | 100 | 7.7 | 200
Spreadsheet: 670139d1585760284-automatic-invigilation-duty-list-in-excel-exam-duty-list
Sheet: Duty ListRoom 

 |  | Date of Exam |  |  |  |  |  | mean |  | 1
Room No | Batch | 2020-04-01 00:00:00 | 2020-04-02 00:00:00 | 2020-04-03 00:00:00 | 2020-04-04 00:00:00 | 2020-04-05 00:00:00 | 2020-04-06 00:00:00
R1 | C1
R2 | C2
R3 | [NAME]
R4 | C4
R5 | C5
R6 | C6
R7 | C7
R8 | C8
R9 | C9
R10 | C10
R11 | C11
R12 | C12
R13 | C13
R14 | C14
R15 | C15
R16 | C16
R17 | C17
R18 | C18
Room no depends on number of students for data sheet
Spreadsheet: 848328d1699041308-tiered-bonus-structure-bonus-structure
Sheet: Sheet1

Bonus Structure
 |  | >$60,000   $.15 | >$90,000   $.25 | >$120,000   $.35
Quarter | Income | Tier 1 | Tier 2 | Tier 3 | Total
1st | 65819 | 872.85 | 0 | 0
2nd | 30665 | 0 | 0 | 0
3rd | 131885 | 4500 | 7500 | 4159.75
4th | 25065 | 0 | 0 | 0
Total
Spreadsheet: 786648d1657322286-using-index-match-to-populate-a-table-based-of-drop-down-list-in-a-given-cell-populate_state_data-20220706
Sheet: Search

 | Select State | Texas
Organization | Address | City | State | Zip code
Spreadsheet: 648094d1572879291-closest-match-with-multiple-criteria-3-criteria-sample-of-boxes-selection
Sheet: Sheet1

 | C2 | EF | Box1 | 601.9799999999999 | 401.32 | 320.04 |  |  | C2
 | C2 | SN | Box2 | 600 | 400 | 335
 | C2 | SN | Box3 | 600 | 400 | 400
 | C2 | SN | Box4 | 600 | 400 | 400 | 30.26
 | C2 | SN | Box5 | 600 | 400 | 320 | 32
 | C1 | 600 | 400 | 420 | deep
 | C2 | 600 | 400 | 320 | deep
 | [NAME] | 600 | 400 | 220 | deep
 | C4 | 400 | 300 | 220 | deep
 | C5 | 300 | 200 | 170 | deep
 | C6 | 1000 | 600 | 414 | deep
 | MOCKUP |  |  |  |  |  |  |  | C2 | Box5
 | Closest match formula finds that the closest match for length is 600
 | This matches [NAME], Box3, Box4, Box5
 | Next closest match to width is 400
 | This matches [NAME], Box3, Box4, Box5
 | Next closest match is depth
 | This matches Box5 only
 | Therefore answer should be Box5
Spreadsheet: a957d8a1-747a-404e-976e-3436e4ade5fb
Sheet: Advance

 |  | AdvancePierre Commodity Calculator 13/14
GMR TURKEY ITEMS
 |  | uses 100883 |  |  |  | * = yield change
Item # | Description | CN [NAME] (oz.) | Case Count/ Serving Size |  |  | [NAME] (lbs.) | Servings Per Menu | Num. of Cases / Menu | Num of Menus / SY | Num. of Cases / SY | Lbs. DF Drawdown per case
44-40 | A+ Harvest Breaded Turkey Patties w/Applesauce | 2.00 oz. + 1.00 brd | 60 | / | 3 | 11.25 |  |  |  |  | 6.26
29324-0 | Turkey Sausage Patties | 1.00 oz. | 420 | / | 1.15 | 30.19 |  |  |  |  | 28.37
3-340400-0 | [NAME] (6 - 5lb bags) | 2.00 oz. | 198 | / | 2.41 | 30 |  |  |  |  | 28.55
3-340630-0 | Turkey Pattie Crumbles (6 - 5lb bags) | 2.00 oz. | 222 | / | 2.16 | 30 |  |  |  |  | 20.45
Spreadsheet: 797962d1664238369-sum-from-starting-cell-x-number-of-cells-across-total-sales-units
Sheet: Sheet1

 | [NAME]
 | JulFY23 | AugFY23 | SepFY23 | OctFY23 | NovFY23 | DecFY23 | JanFY23 | Months Cover | Order Date | Order Quantity
SKU 1 | 5 | 4 | 8 | 12 | 4 | 8 | 4 | 5 | AugFY23
SKU 2 | 2 | 4 | 3 | 1 | 4 | 3 | 4 | 5 | AugFY23
SKU 3 | 10 | 8 | 16 | 24 | 8 | 16 | 8 | 5 | AugFY23
SKU 4 | 6 | 12 | 9 | 3 | 12 | 9 | 12 | 4 | AugFY23
SKU 5 | 15 | 12 | 24 | 36 | 12 | 24 | 12 | 6 | JulFY23
SKU 6 | 8 | 16 | 12 | 4 | 16 | 12 | 16 | 4 | JulFY23
SKU 7 | 10 | 20 | 15 | 5 | 20 | 15 | 20 | 3 | JulFY23
SKU 8 | 3 | 2 | 7 | 4 | 2 | 7 | 2 | 3 | SepFY23
SKU 9 | 5 | 6 | 8 | 5 | 6 | 8 | 6 | 3 | SepFY23
SKU 10 | 4 | 4 | 5 | 4 | 4 | 5 | 4 | 2 | SepFY23
Spreadsheet: 154846d1336580478-hai-frds-please-help-me-to-solve-this-prob-date-count
Sheet: Sheet1

plan date | achievement date
2012-05-01 00:00:00 | 2012-05-03 00:00:00 |  |  |  | may |  | june |  | july |  | august
2012-05-03 00:00:00 | 2012-05-04 00:00:00 |  |  |  | w1 |  | w2 |  | w3 |  | w4
2012-05-05 00:00:00 | 2012-05-05 00:00:00 |  |  |  | 2012-05-01 00:00:00 | 2012-05-07 00:00:00 | 2012-05-08 00:00:00 | 2012-05-14 00:00:00 | 2012-05-15 00:00:00 | 2012-05-21 00:00:00 | 2012-05-22 00:00:00 | 2012-05-31 00:00:00
2012-05-07 00:00:00 | 2012-05-09 00:00:00 |  |  |  | plan | achivement | plan | achivement | plan | achivement | plan | achivement
2012-05-09 00:00:00 |  |  |  |  | 4 | 4 | 3 | 0 | 7 | 6 | 10 | 2
2012-05-11 00:00:00
2012-05-13 00:00:00
2012-05-15 00:00:00 | 2012-05-17 00:00:00
2012-05-16 00:00:00 | 2012-05-19 00:00:00
2012-05-17 00:00:00 | 2012-05-21 00:00:00
2012-05-18 00:00:00
2012-05-19 00:00:00 | 2012-05-25 00:00:00
2012-05-20 00:00:00 | 2012-05-27 00:00:00
2012-05-21 00:00:00 | 2012-05-29 00:00:00
2012-05-22 00:00:00
2012-05-23 00:00:00
2012-05-24 00:00:00
2012-05-25 00:00:00
2012-05-26 00:00:00
2012-05-27 00:00:00
2012-05-28 00:00:00
2012-05-29 00:00:00
2012-05-30 00:00:00 | 2012-06-16 00:00:00
2012-05-31 00:00:00 | 2012-06-18 00:00:00
Spreadsheet: 77705d1278126649-excel-2007-vlookup-not-working-vlookup
Sheet: CMS 2005

Year | Carrier | CPT | Modifier |  |  | NonFacility | Facility
2005 | 883 | 10021 |  |  | 10021.03 | 128.26 | 71.02
2005 | 883 | 10121 |  |  | 10121.03 | 238.55 | 177.06
2005 | 883 | 10140 |  |  | 10140.03 | 127.93 | 110.87
2005 | 883 | 10160 |  |  | 10160.03 | 107.53 | 89.05
2005 | 883 | 10180 |  |  | 10180.03 | 203.41 | 167.86
2005 | 883 | 11000 |  |  | 11000.03 | 45.95 | 33.15
2005 | 883 | 11056 |  |  | 11056.03 | 48.46 | 33.88
2005 | 883 | 11057 |  |  | 11057.03 | 59.94 | 44.3
2005 | 883 | 11100 |  |  | 11100.03 | 76.61 | 45.33
2005 | 883 | 11101 |  |  | 11101.03 | 28.01 | 23.03
2005 | 883 | 11200 |  |  | 11200.03 | 68 | 58.05
2005 | 883 | 11201 |  |  | 11201.03 | 17.42 | 16
2005 | 883 | 11308 |  |  | 11308.03 | 109.79 | 79.22
2005 | 883 | 11310 |  |  | 11310.03 | 68.97 | 40.89
2005 | 883 | 11311 |  |  | 11311.03 | 85.74 | 59.43
2005 | 883 | 11312 |  |  | 11312.03 | 98.17 | 67.25
2005 | 883 | 11313 |  |  | 11313.03 | 129.08 | 90.69
2005 | 883 | 11423 |  |  | 11423.03 | 175.29 | 135.12
2005 | 883 | 11424 |  |  | 11424.03 | 200.87 | 158.21
2005 | 883 | 11426 |  |  | 11426.03 | 282.12 | 233.06
2005 | 883 | 11440 |  |  | 11440.03 | 121.34 | 89.7
2005 | 883 | 11441 |  |  | 11441.03 | 143.72 | 113.86
Spreadsheet: 846430d1697637235-data-validation-list-with-unique-and-xlookup-in-source-formula-help
Sheet: Supplier

INS CODE | MANUFACTURER | SUPPLIER | DATE | MULTIPLIER
AL | ZEBRA | ZOO | 2023-10-17 00:00:00 | 1
AL | MONKEY | JUNGLE | 2023-10-17 00:00:00 | 1
AL | ZEBRA | [NAME] | 2023-10-17 00:00:00 | 1
AL | MONKEY | FOREST | 2023-10-17 00:00:00 | 1
Spreadsheet: 16544bd3-8d93-4fff-88fd-afd4b232c411
Sheet: Sheet1

Table 6--U.S. textile imports, by fiber | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5
 |  | 2011 |  |  | 2010
Item | May | June | July |  | July
 | 1,000 pounds 1/
[NAME], thread, and fabric: | 262603.409 | 248739.186 | 240598.534 | 0 | 257433.752
Cotton | 62875.033 | 60441.654 | 54701.926 |  | 66589.568
Linen | 16909.036 | 16509.095 | 15390.597 |  | 15053.578
Wool | 3768.797 | 3700.251 | 4128.547 |  | 3717.854
Silk | 767.078 | 667.019 | 691.191 |  | 754.709
Manmade | 178283.465 | 167421.167 | 165686.273 |  | 171318.043
Apparel: | 890373.3669999999 | 986100.183 | 1082258.63 | 0 | 1170294.528
Cotton | 529273.705 | 582221 | 611729.012 |  | 705455.525
Linen | 11959.718 | 12077.529 | 10075.06 |  | 10995.191
Wool | 17990.041 | 24168.5 | 32796.243 |  | 33346.525
Silk | 9548.056 | 8917.105 | 8806.464 |  | 9856.356
Manmade | 321601.847 | 358716.049 | 418851.851 |  | 410640.931
Home furnishings: | 207976.354 | 217838.586 | 224482.769 | 0 | 267526.979
Cotton | 122214.915 | 124127.17 | 125187.429 |  | 155170.438
Linen | 839.923 | 876.687 | 854.503 |  | 720.877
Wool | 201.672 | 314.113 | 230.263 |  | 347.834
Silk | 226.475 | 172.094 | 233.472 |  | 212.709
Manmade | 84493.369 | 92348.522 | 97977.102 |  | 111075.121
Floor coverings: | 58228.322 | 62983.963 | 63167.955 | 0 | 66536.23
Cotton | 7273.92 | 8471.763 | 7957.157 |  | 8535.535
Linen | 14340.16 | 13869.241 | 15583.986 |  | 16517.783
Wool | 8854.797 | 10867.619 | 9533.417 |  | 11073.408
Silk | 1610.464 | 1780.233 | 1421.925 |  | 1927.804
Manmade | 26148.981 | 27995.107 | 28671.47 |  | 28481.7
Total imports: 2/ | 1430390.282 | 1528603.46 | 1626301.744 | 0 | 1776282.06
Cotton | 726141.357 | 779919.519 | 804256.219 |  | 940081.352
Linen | 44946.136 | 44153.743 | 42705.082 |  | 44155.489
Wool | 31204.998 | 39602.8 | 47593.501 |  | 49161.846
Silk | 12153.115 | 11538.593 | 11154.274 |  | 12753.406
Manmade | 615944.676 | 653388.805 | 720592.668 |  | 730129.967
1/ Raw-fiber equivalent.  2/ Includes headgear.
Last update:  10/13/11.
Sources: USDA, Economic Research Service; and USDC,
U.S. Census Bureau.
Spreadsheet: 329924d1404458987-sales-projection-dc-final
Sheet: Europa Analysis

Europe
Indonesia | Phillipines | Srilanka | India | Top Importes | [NAME] | Focus
GERMANY | AUSTRIA | GERMANY | U K | BELGIUM | NETHERLAND | Spain
RUSSIA | BELGIUM | SPAIN | SWITZERLAND | NETHERLAND | BELGIUM |  | Spain imports and share of export in spain of Indo AN srilanka
POLAND | CZECH REPUBLIC | FRANCE | IRELAND | GERMANY | POLLAND |  | Indonesia | SPAIN | 887 | 925 | 1106 | 1179 | 1965 | 793
NETHERLAND | DENMARK | PORTUGAL | GERMANY | UK |  |  | Srilanka | SPAIN | 1990 | 1368 | 1511 | 1331 | 2574 | 1853
SPAIN | FINLAND | UK | GEORGIA | RUSSIA |  |  | Total
ITALY | FRANCE | NETHERLAND | FRANCE | POLAND
UK | GERMANY | GREECE | RUSSIA | FRANCE |  |  | SPAIN |  | 6789 | 0 | 6733 | 5888 | 5680 | 5275
UKRAINE | GREECE | ITALY | BELGIUM | SPAIN
SLOVENIA | HUNGRY | BELGIUM | ITALY | ITALY
GREECE | IRELAND | POLAND | CYPRUS | PORTUGAL
 |  |  |  | AUSTRIA |  |  | Indo | NETHERLAND | 1551 | 474 | 396 | 1471 | 1639 | 2742
 |  |  |  |  |  |  | Philli | NETHERLAND | 101 | 77 | 368 | 254 | 65 | 245
 |  |  |  |  |  |  | srilanka | NETHERLAND | 1239 | 640 | 312 | 473 | 620 | 487
 |  |  |  |  |  |  |  | NETHERLAND | 19360 | 16276 | 10487 | 19109 | 17462 | 16443
 |  |  |  |  |  |  |  | Share
 |  |  |  |  |  |  | Indo | BELGIUM | 90 | 120 | 24 | 109 | 731 | 510 |  | 0.41
 |  |  |  |  |  |  | Philli | BELGIUM | 8122 | 16854 | 8509 | 9850 | 7799 | 8209 |  | 0.0021
 |  |  |  |  |  |  | Srilanka | BELGIUM | 191 | 338 | 274 | 382 | 462 | 389 |  | 0.01
 |  |  |  |  |  |  |  | BELGIUM Imports | 20410 | 20096 | 16372 | 13588 | 17914 | 16526
 |  |  |  |  |  |  | Indo | RUSSIA | 2956 | 1873 | 1620 | 2378 | 4344 | 4149
 |  |  |  |  |  |  | Philli | RUSSIA | 25 | 13 | 114 | 38 | 25 | 52
 |  |  |  |  |  |  | Srilanka | RUSSIA | 0 | 0 | 0 | 34 | 183 | 0
 |  |  |  |  |  |  |  | Total
 |  |  |  |  |  |  |  | RUSSIATotal Import | 11497 | 8123 | 7563 | 9204 | 12282 | 11652
 |  |  |  |  |  |  | Indonesia | POLAND | 2193 | 1723 | 952 | 1855 | 1878 | 1450
 |  |  |  |  |  |  | Philli | POLAND | 0 | 0 | 0 | 0 | 0 | 612
 |  |  |  |  |  |  | Srilanka | POLAND | 274 | 349 | 202 | 261 | 362 | 159
 |  |  |  |  |  |  |  | POLAND Imports | 10121 | 9525 | 8941 | 9151 | 7421 | 8454
 |  |  |  |  |  |  | Indonesia | GERMANY | 3352 | 3282 | 2347 | 3596 | 5657 | 7824
 |  |  |  |  |  |  | Philli | GERMANY | 1247 | 1222 | 1143 | 1035 | 1141 | 874
 |  |  |  |  |  |  | Srilanka | GERMANY | 3133 | 2062 | 1661 | 1877 | 2582 | 1829
 |  |  |  |  |  |  |  | Total IPS
 |  |  |  |  |  |  |  | GERMANY | 18099 | 16614 | 15618 | 13303 | 15623 | 13608
 |  |  |  |  |  |  |  | Share
Spreadsheet: 176006d1345705351-substituting-values-from-one-column-to-another-on-specific-condition-challenge1
Sheet: Sheet1

Contig ID | Sequence
Contig1
Contig1
Contig1
Contig2
Contig2
Contig2
Contig3
Contig3
Contig9
Contig9
Contig9
Contig12
Contig12
Contig12
 |  | Sequence to be adjusted(in column B)
 | Contig1 | AcgtagcataAGCT
 | Contig2 | AGCtaACGATgat
 | Contig3 | acgTAGTAA
 | Contig9 | AGCtaACGATgat
 | Contig12 | AGCtaACGATgat