tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: fb657d72-ae54-4ffa-8941-319ae4344591
Sheet: Sheet1

2738 699 Érd - Budapest, [NAME] lezárás | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11
(Érvényes: 2012. április 14-től)
 |  |  |  |  | 699 | 699 | 699 | 699 | 699 | 699 | 699
Km | Km | Km | Km | VOLÁNBUSZ Zrt. | 2 | 4 | 6 | 8 | 10 | 12 | 14
 |  |  |  |  | I | I | I | I | I | I | I
0 | 0 | .. | .. | Érd, aut. áll. | 06:05:00 | 06:30:00 | 06:55:00 | 12:40:00 | 13:20:00 | 14:00:00 | 14:30:00
0.9 | .. | .. | .. | Érd, [NAME] u. | 06:07:00 | 06:32:00 | [NAME] | 12:42:00 | 13:22:00 | 14:02:00 | 14:32:00
1.4 | .. | .. | .. | Érd, Ág. | 06:08:00 | 06:33:00 | 06:58:00 | 12:43:00 | 13:23:00 | 14:03:00 | 14:33:00
1.9 | .. | .. | .. | Érd, Sulák-Árok | 06:09:00 | 06:34:00 | 06:59:00 | 12:44:00 | 13:24:00 | 14:04:00 | 14:34:00
.. | .. | .. | .. | BB szakaszhatár
2.6 | .. | .. | .. | Budapest, Tétényi út | 06:11:00 | 06:36:00 | 07:01:00 | 12:46:00 | 13:26:00 | 14:06:00 | 14:36:00
.. | .. | .. | .. | Budapest, Nagytétény aut. ford. | S | S | S | S | S | S | S
10.4 | .. | .. | .. | Lakihegy, áruházi bekötőút | 06:30:00 | 06:55:00 | 07:20:00 | 13:05:00 | 13:45:00 | 14:25:00 | 14:55:00
10.8 | .. | .. | .. | Budapest, [NAME] | [NAME] | 06:56:00 | 07:21:00 | 13:06:00 | 13:46:00 | 14:26:00 | 14:56:00
11.5 | .. | .. | .. | Budapest, Vízművek ltp. | 06:32:00 | [NAME] | [NAME] | 13:07:00 | 13:47:00 | 14:27:00 | 14:57:00
11.9 | .. | .. | .. | Budapest, [NAME] | 06:33:00 | 06:58:00 | 07:23:00 | 13:08:00 | 13:48:00 | 14:28:00 | 14:58:00
12.2 | .. | .. | .. | Budapest, [NAME] | 06:34:00 | 06:59:00 | 07:24:00 | 13:09:00 | 13:49:00 | 14:29:00 | 14:59:00
13 | .. | .. | .. | Budapest, Hárosi iskola | 06:35:00 | 07:00:00 | 07:25:00 | [NAME] | 13:50:00 | 14:30:00 | 15:00:00
13.7 | .. | .. | .. | Budapest, Csepeli temető | 06:37:00 | [NAME] | 07:27:00 | 13:12:00 | 13:52:00 | 14:32:00 | 15:02:00
14.2 | .. | .. | .. | Budapest, Tejút u. | 06:38:00 | 07:03:00 | [NAME] | 13:13:00 | 13:53:00 | 14:33:00 | 15:03:00
14.6 | .. | .. | .. | Budapest, [NAME] | 06:40:00 | 07:05:00 | 07:30:00 | 13:15:00 | 13:55:00 | 14:35:00 | 15:05:00
15.1 | .. | .. | .. | Budapest, Erdősor u. | 06:41:00 | 07:06:00 | 07:31:00 | 13:16:00 | 13:56:00 | 14:36:00 | 15:06:00
15.8 | .. | .. | .. | Budapest, [NAME]-állomás | 06:42:00 | 07:07:00 | [NAME] | 13:17:00 | 13:57:00 | 14:37:00 | 15:07:00
16.3 | .. | .. | .. | Budapest, Szent Imre tér HÉV-állomás | 06:43:00 | 07:08:00 | 07:33:00 | 13:18:00 | 13:58:00 | 14:38:00 | 15:08:00
17 | .. | .. | .. | Budapest, [NAME] u. | 06:50:00 | 07:15:00 | 07:40:00 | 13:25:00 | 14:05:00 | 14:45:00 | 15:15:00
[NAME]:
A vonal járatai Budapest közigazgatási [NAME] a Budapest-bérlettel (BB) igénybevehetőek.
I | tanítási napokon
S | a járat nem érinti a megállóhelyet, [NAME]
Spreadsheet: 747037d1631195009-automatically-generate-number-code_sequence
Sheet: Sheet1

Sweden
Poland
Sweden
Spain
Denmark
Poland
Denmark
Netherlands
Sweden
Spreadsheet: 00c2615e-a72e-432d-9c9e-f73dfbb808e0
Sheet: Sheet1

Table 6--Cottonseed oil:  U.S. supply and disappearance | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9
 | Supply |  |  |  |  | Disappearance
Year beginning | Beginning |  |  |  |  |  |  |  | Ending
October 1 | stocks | Production | Imports | Total |  | Domestic | Exports | Total | stocks
 | Million pounds
2010/11 | 92.539 | 835 | 0.202 | 927.741 |  | 598.913 | 163.828 | 762.741 | 165
2011/121 | 165 | 755 | 10.347 | 930.347 |  | 571.486 | 258.861 | 830.347 | 100
2012/132 | 100 | 800 | 0.3 | 900.3 |  | 580.3 | 220 | 800.3 | 100
1 Estimated.  2 Forecast.
Source:  USDA, Foreign Agricultural Service, PS&D Online.
Last update: | 2013-04-12 11:57:59.660000
Spreadsheet: 85155d1285209147-excel-2007-auto-import-upon-opening-highcariesdatabase
Sheet: Nov 09

Name | Rank | SSN | Unit | Phone | Acc/Decl | Educate | Pro/OHI | Fluoride Tx | 3-6mo Fl | Fl Overdue | Oper Com | 3-6mo Eval | Eval overdue | Prgrm Com | Date Com | Appt
doe, [NAME] | SSgt | 123456789 | [NAME] | [PHONE] |  | Y | Y | Y | 2010-01-10 00:00:00 | Y | Y | 2010-01-10 00:00:00 | Y |  |  | Y
adams, terry | A1C | 459123456 | 102nd Something | 111-123-111 |  | Y | Y | N | 2010-11-10 00:00:00 | N | N |  |  |  |  | Y
snooky, pam | Col | 11111111 | 123rd work stinks | [PHONE] |  | Y | Y | N | 2010-02-11 00:00:00 | Y |  | 2010-06-10 00:00:00 | Y |  |  | Y
smith, [NAME] | [NAME] | 222222222 | 93rd Horse | [PHONE] |  | Y | Y | Y |  | N | Y |  | N | Y | 2010-10-02 00:00:00 | N
dir, [NAME] | [NAME] | 222223333 | home | [PHONE] | A | N | Y | Y | 2010-03-10 00:00:00 | Y | Y | 2010-12-10 00:00:00 | N |  |  | Y
billy, bob | SrA | 444556666 | 122nd SS | [PHONE] | A | Y | Y | Y | 2010-06-10 00:00:00 | N | Y | 2010-06-10 00:00:00 | N | N
Metrics |  | Total
Total Patients
Accept |  | 2
Declined |  | 0
Fl overdue |  | 3
Assess overdue |  | 2
Appts |  | 4
Completed |  | 1
Spreadsheet: 776184d1649569504-using-drag-function-from-another-non-identical-sheet-eton33
Sheet: Sheet1

A6 | B6 | C6 | D6 | E6
A7 | B7 | C7 | D7 | E7
A22 | B22 | C22 | D22 | E22
A23 | B23 | C23 | D23 | E23
A38 | B38 | C38 | D38 | E38
A39 | [NAME] | C39 | D39 | E39
Spreadsheet: 87804d1287668424-index-and-match-formula-new-example
Sheet: 1161

 |  | Full Year |  | Actual | Actual | Actual | Actual | Actual | Actual
 |  | Budget |  | Period 1 | Period 2 | Period 3 | Period 4 | Period 5 | Period 6
KEY |  | 2010/11 |  | 2010/11 | 2010/11 | 2010/11 | 2010/11 | 2010/11 | 2010/11
212011  Sales in Cnt to PPE*        Total Sales | 212011  Sales in Cnt to PPE
212018  Sales in Cnt to Proc*        Total Sales | 212018  Sales in Cnt to Proc
212201  Sales in Cnty out BL*        Total Sales | 212201  Sales in Cnty out BL
212401  Sales out Cnt to PPE*        Total Sales | 212401  Sales out Cnt to PPE
212701  Sales other group*        Total Sales | 212701  Sales other group
212708  Energy Surcharge Int*        Total Sales | 212708  Energy Surcharge Int
213011  External Sales*        Total Sales | 213011  External Sales
213519  Energy Surcharge Ext*        Total Sales | 213519  Energy Surcharge Ext
213534  Sundry Sales*        Total Sales | 213534  Sundry Sales
213544  Other Income - Revenue*        Total Sales | 213544  Other Income - Revenue
*        Total Sales*        Total Sales | *        Total Sales | 0 |  | 0 | 0 | 0 | 0 | 0 | 0
612114  Finished Gds PC Revv*        Inter Segmental Transfers | 612114  Finished Gds PC Revv
*        Inter Segmental Transfers*        Inter Segmental Transfers | *        Inter Segmental Transfers | 0 |  | 0 | 0 | 0 | 0 | 0 | 0
**       Gross Segmental Sales**       Gross Segmental Sales | **       Gross Segmental Sales | 0 |  | 0 | 0 | 0 | 0 | 0 | 0
Spreadsheet: 112219d1308328857-copy-and-drag-formula-weekdaynumber
Sheet: Sheet1

 | 2011-01-01 00:00:00
Spreadsheet: 50a7d6da-0994-45ef-83a9-f5a0645520f7
Sheet: Charter Lite

Project |  | Sponsor
Project Manager |  | Date Updated
Background
Business need and business benefits
Objectives
Scope | In Scope | Out of Scope
[NAME] | [NAME] | Dates
Budget
Key Considerations | Assumptions & Constraints
Success criteria
Sponsor  Signature | Signature
 | Printed name
 | Date
Project Manager
 | Signature
 | Printed name
 | Date
Spreadsheet: 838458d1691029624-conditional-format-with-4-conditions-met-excel-help-sample-solution-
Sheet: Sheet1

Job ID | job_title | Candidate | to_workflow_stage_name | CF Formula
9142217 | Automotive Tire and [NAME] | [NAME] | NEW HIRE
9167039 | Tire and [NAME] | [NAME] | Submitted to Hiring Manager
9167039 | Tire and [NAME] | [NAME] | Submitted to Hiring Manager
Spreadsheet: 270743d1381618166-vlookup-type-function-see-if-string-has-key-if-it-does-give-value-book1
Sheet: Sheet1

FUMIYOSHI JAPANESE RESTUAVANCOUVER
PAYPAL *MICROSOFTCO      [PHONE]
SPIRITS OF MT SEYMOUR    NORTH VANC
TRANSLINK FARE PURCHASE  BURNABY
TRANSLINK FARE PURCHASE  BURNABY
TRANSLINK FARE PURCHASE  BURNABY
TRANSLINK FARE PURCHASE  BURNABY
TRANSLINK FARE PURCHASE  BURNABY
TRANSLINK FARE PURCHASE  BURNABY
STARBUCKS COFF00001511   [NAME]
TRANSLINK FARE PURCHASE  BURNABY
TRANSLINK FARE PURCHASE  BURNABY
TRANSLINK FARE PURCHASE  BURNABY
TRANSLINK FARE PURCHASE  BURNABY
DR PAUL WIGGINS DC       N VANCOUVE
SAPPORO RAMEN      QFF   [NAME]
STARBUCKS COFF00049197   N VANCOUVE
ESSO 106 W QUEENS ST     NORTH VANC
HELLY HANSEN GRANVILLE   [NAME]
TRANSLINK FARE PURCHASE  BURNABY
TRANSLINK FARE PURCHASE  BURNABY
FUMIYOSHI JAPANESE RESTUAVANCOUVER
THE GULL LIQUOR STORE    NORTH VANC
SEYCOVE MARINA LTD       N VANCOUVE
Spreadsheet: 771439d1646672189-periodic-table-excel-template-not-working-many-formulas-display-unknown-periodic-table-excel
Sheet: PTSearch

 | ✓
Property DV
[NAME]
Atomic radius | Atomic radius
Block | Block
Boiling Point | Boiling Point
Covalent radius | Covalent radius
[NAME] | [NAME]
Discovery year | Discovery year
Electron affinity | Electron affinity
Electronegativity | Electronegativity
Group | Group
Human Abundance | Human Abundance
Melting Point | Melting Point
Meteorite Abundance | Meteorite Abundance
[NAME] | [NAME]
Period | Period
[NAME] | [NAME]
[NAME] | [NAME]
Valence | Valence
Van der Waals radius | Van der Waals radius
List of chemicals
#[NAME]!
#[NAME]!
#[NAME]!
#[NAME]!
#[NAME]!
#[NAME]!
#[NAME]!
Spreadsheet: 214952d1361207556-vlookup-n-a-vlookup
Sheet: Master

 |  | 00:02:00 | 00:02:00 | [NAME]
VideoTime(GMT) | [NAME] (GMT) | Corrected Time | Corrected Time | Dissolved O₂ concentration | Depth
18:08:00 | 18:08:22 | 18:10:22
18:08:00 | 18:08:08 | 18:10:08
18:08:00 | 18:09:48 | 18:11:48
18:08:00 | 18:10:02 | 18:12:02
18:12:00 | 18:12:37 | 18:14:37
18:12:00 | 18:12:55 | 18:14:55
18:12:00 | 18:13:10 | 18:15:10
18:12:00 | 18:13:18 | 18:15:18
18:16:00 | 18:16:49 | 18:18:49
18:16:00 | 18:17:03 | 18:19:03
18:16:00 | 18:17:25 | 18:19:25
18:16:00 | 18:17:44 | 18:19:44
18:30:00 | 18:30:19 | 18:32:19
18:30:00 | 18:30:32 | 18:32:32
18:30:00 | 18:30:47 | 18:32:47
18:30:00 | 18:31:08 | 18:33:08
18:36:00 | 18:37:03
18:36:00 | 18:37:18
18:36:00 | 18:37:30
18:36:00 | 18:37:41
18:47:00 | 18:47:48
18:47:00 | 18:48:00
18:47:00 | 18:48:15
18:47:00 | 18:48:28
18:56:00 | 18:56:48
18:56:00 | 18:57:13
18:56:00 | 18:57:58
18:56:00 | 18:58:28
19:01:00 | 19:01:38
19:01:00 | 19:01:49
19:01:00 | 19:02:08
19:01:00 | 19:02:28
19:05:00 | 19:05:31
19:05:00 | 19:05:41
19:05:00 | 19:06:05
19:05:00 | 19:05:53
19:11:00 | 19:11:48
19:11:00 | 19:12:16
19:11:00 | 19:12:32
19:11:00 | 19:12:52
19:15:00 | 19:15:55
19:15:00 | 19:16:10
19:15:00 | 19:16:30
19:15:00 | 19:16:52
19:19:00 | 19:19:27
19:19:00 | 19:19:37
19:19:00 | 19:19:51
19:19:00 | 19:20:07
19:34:00 | 19:34:27
19:34:00 | 19:34:42
19:34:00 | 19:34:55
19:34:00 | 19:35:07
19:38:00 | 19:38:47
19:38:00 | 19:38:58
19:38:00 | 19:39:04
19:38:00 | 19:39:11
Spreadsheet: 114988d1310642387-automatically-copying-a-row-of-data-to-another-tab-dssg-database-test-7-12-11-1-
Sheet: Service Contracts

 | Updated: | 2011-07-11 00:00:00 | SERVICE CONTRACTS
 | Responsible Person | Customer | City | State | Category | Dolphin Qty | Dolphin Unit |  | Dolphin Qty | Dolphin Unit |  | Dolphin Qty | Dolphin Unit | System Startup | Service Provider | Service Agreement Owned By | Total Service Contract $$ Billed to Customer | TWC-Included Additional Provider $$ | Total Service Contract $$-Paid to Provider | Total Unadjusted GROSS PROFIT |  | Service Contract Start Date | Service [NAME] (yrs) | Service Contract End Date | SA 100
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Service Owned By |  | Service Provider
 | PLC | ABC Company | Any Town | MA | Mission Critical | 2 | 3" |  | 2 | 3" |  |  |  | 2009-11-01 00:00:00 | DWC | DWC | 5900 | 0 | 5040 | 860 |  | 2010-08-15 00:00:00 | 1 | 2011-07-14 00:00:00 | 100 |  |  |  |  |  |  | Mission Critical
 | PLC | DEF Company | Any Town | MO | Mission Critical | 1 | 3" |  | 1 | 3" |  |  |  | 2009-11-01 00:00:00 | DWC | DWC | 4500 | 0 | 4050 | 450 |  | 2011-01-01 00:00:00 | 1 | 2011-12-31 00:00:00 | 100 |  |  | DWC |  | DuBois | [NAME] | Bakery | 1" | PLC
 | Note: [NAME] is inserted in blue highligted cells. Copy paste on the desired range
 | Note: [NAME] is based on 100 value in AC column of first sheet
 | Note: array formual is used and should be confirmed thoug Ctrl+shift+Enter
Spreadsheet: 525342d1498671798-end-result-based-on-several-criterias-erbosc
Sheet: Sheet2

200 | Deposit | Reconciled
100 | Withdrawal | Reconciled
 | (dropdown) | (dropdown) | BALANCE
200 | Withdrawal | Reconciled | formula??
 | Criteria 1 | [NAME] | End Result
 | Deposit OR | Reconciled OR | IF Deposit = positive value
 | Withdrawal | Cleared | IF Withdrawal = negative value
 | selected | selected
Spreadsheet: 0f74bca3-4d90-4bde-a917-8eeffed71f23
Sheet: Table 1.3

Monthly Statistical Bulletin
1.3 Labour force
Month | 2009–10 | 2010–11 | 2011–12 | 2012–13 | 2013–14
Labour force (a) – '000
July | 11453.4949746 | 11641.6606662 | 11825.8700449 | 11981.0886655 | 12168.7446072
August | 11439.7935314 | 11643.5218851 | 11842.4704142 | 11968.0387805 | 12169.516277
September | 11458.1104047 | 11675.3980037 | 11864.8563641 | 12034.1243015 | 12160.2546882
October | 11470.1334567 | 11724.3302601 | 11861.558138 | 12024.2164408 | 12173.4002354
November | 11489.0534785 | 11764.4680136 | 11877.5248201 | 12018.9071324 | 12189.238714
December | 11516.4614766 | 11741.2286779 | 11848.720749 | 12053.5546232 | 12175.2068542
January | 11529.1986973 | 11719.5198978 | 11880.0955185 | 12114.2658213 | 12188.1355599
February | 11537.7346889 | 11771.5267153 | 11899.2820308 | 12131.8213796
March | 11561.0969051 | 11806.7422691 | 11960.0901028 | 12123.2054544
April | 11577.8667495 | 11771.2868834 | 11921.0371687 | 12156.544269
May | 11544.459933 | 11764.0508726 | 11985.9143292 | 12145.5567899
June | 11599.3987081 | 11796.2404185 | 11960.2322291 | 12178.1493683
Annual average | 11512.98723275 | 11737.59825483333 | 11892.52656558333 | 12073.81666275
Participation rate (a) (b) – per cent
July | 65.4370333 | 65.4252332 | 65.4448865 | 65.1469379 | 64.979409
August | 65.2530096 | 65.3583306 | 65.446407 | 64.979684 | 64.8916968
September | 65.251934 | 65.4598579 | 65.4798746 | 65.2419713 | 64.75079
October | 65.237759 | 65.656885 | 65.3716881 | 65.0925625 | 64.7173158
November | 65.2627829 | 65.804261 | 65.3698405 | 64.9684633 | 64.6982213
December | 65.3359129 | 65.5972052 | 65.1219184 | 65.0603845 | 64.5209177
January | 65.3002246 | 65.3761738 | 65.1797117 | 65.2793404 | 64.4945193
February | 65.2408793 | 65.5664045 | 65.1705599 | 65.2654124
March | 65.2654457 | 65.6626734 | 65.3889856 | 65.1109626
April | 65.2878657 | 65.3866988 | 65.0889458 | 65.195166
May | 65.0275938 | 65.267944 | 65.3564155 | 65.0417356
June | 65.2649874 | 65.3679553 | 65.1300284 | 65.1218049
Annual average | 65.26378568333332 | 65.494135225 | 65.29577183333333 | 65.12536878333334
(a) Monthly figures are seasonally adjusted.
(b) Labour force as a proportion of the civilian population aged 15 years and over. |  |  |  |  |  |  |  | Update
Source: ABS, Labour force, Cat. no. 6202.0 |  |  |  |  |  |  |  | 2014-03-13 00:00:00
Spreadsheet: 693486d1598987767-ot-losses-calculation-nhl20_buddies_tourney
Sheet: Tournament

Double Elimination Tournament Bracket Template |  |  |  |  |  |  | True
Double Elimination Bracket for 7 Teams |  |  |  |  |  |  | True
Tournament Bracket Template by Vertex42.com |  |  |  |  | Instructions |  | True |  |  |  | © 2012-2020 Vertex42 LLC
Winner's Bracket |  |  |  |  |  |  | TWO TEAMS, ONE CUP
 |  |  |  |  |  |  | Sept 2020
 |  | 1
4 |  |  | 4 |  |  |  |  |  |  | [42]
 | 1
5
 |  |  |  | [42]
3 |  | 4 |  |  | 9
 | 2
6 |  | 5 | 5 |  |  |  | 12
2
 | 3 |  |  |  |  | W11 |  |  | 13
 |  |  |  |  |  |  |  |  |  |  | Champion
7 |  |  |  |  |  |  |  | L12 if first loss
Loser's Bracket |  |  |  | [42]
 |  |  |  |  |  | L9
 |  | L1
 |  |  | 7 |  |  |  | 11 |  | To W11
 |  | L5
L2 |  |  |  |  | 10
 | 6
L3 |  |  | 8
 |  | [NAME]
Spreadsheet: 801599d1666269765-get-another-result-directly-from-two-tables-without-auxiliary-columns-help10-20
Sheet: Sheet2

 | TABLE A |  |  |  |  |  | TABLE B | nation | Asia | Americas | Europe | Japan | Korea
 | salesman |  | nation |  | Amount | Helper column |  | discount factor | 0.1 | 0.06 | 0.08 | 0.03 | 0.12
 | A |  | Asia |  | 100
 | B |  | Americas |  | 200
 | C |  | Japan |  | 300 |  |  | salesman | Amount after discount
 | D |  | Europe |  | 400 |  |  | A
 | E |  | Korea |  | 500 |  |  | B
 | F |  | Asia |  | 600 |  |  | C
 | G |  | Japan |  | 700 |  |  | D
 | H |  | Asia |  | 800 |  |  | E
 | A |  | Americas |  | 900 |  |  | F
 | B |  | Japan |  | 1000 |  |  | G
 | C |  | Europe |  | 1100 |  |  | H
 | D |  | Korea |  | 1200
 | E |  | Asia |  | 1300
 | F |  | Japan |  | 1400 |  |  |  | Amount
 | G |  | Asia |  | 1500 |  |  | A | 7789
 | H |  | Americas |  | 1600 |  |  | B | 8162
 | A |  | Japan |  | 1700 |  |  | C | 8800
 | B |  | Europe |  | 1800 |  |  | D | 9180
 | C |  | Korea |  | 1900 |  |  | E | 9735
 | D |  | Asia |  | 2000 |  |  | F | 10384
 | E |  | Japan |  | 2100 |  |  | G | 10786
 | F |  | Asia |  | 2200 |  |  | H | 11016
 | G |  | Americas |  | 2300
 | H |  | Japan |  | 2400
 | A |  | Europe |  | 2500
 | B |  | Korea |  | 2600
 | C |  | Asia |  | 2700
 | D |  | Japan |  | 2800
 | E |  | Asia |  | 2900
 | F |  | Americas |  | 3000
 | G |  | Japan |  | 3100
 | H |  | Europe |  | 3200
 | A |  | Korea |  | 3300
 | B |  | Asia |  | 3400
 | C |  | Japan |  | 3500
 | D |  | Asia |  | 3600
 | E |  | Americas |  | 3700
 | F |  | Japan |  | 3800
 | G |  | Europe |  | 3900
 | H |  | Korea |  | 4000
Spreadsheet: 740761d1626550460-count-number-of-dates-in-a-range-using-cell-value-lga-rvol-master
Sheet: Stocks

VERB | Software | Application Software | 63367092 | 27.44 | 2021-07-13 00:00:00
VRAR |  |  | 9815935 | 20.75 | 2021-07-13 00:00:00
VRPX | Pharmaceuticals | Pharmaceuticals | 4960153 | 61.56 | 2021-07-13 00:00:00
WORX | Health Care Technology | Health Care Technology | 10029433 | 80.45 | 2021-07-13 00:00:00
XBIO | Biotechnology | Biotechnology | 8746692 | 59.11 | 2021-07-13 00:00:00
XELA | IT Services | Data Processing & Outsourced Services | 59192012 | 57.06 | 2021-07-13 00:00:00
ZIVO | Personal Products | Personal Products | 9062649 | 57.51 | 2021-07-13 00:00:00
ZIVOW |  |  | 0 | 22.38 | 2021-07-13 00:00:00
ACRX | Pharmaceuticals | Pharmaceuticals | 119102999 | 27.05 | 2021-07-14 00:00:00
ADIL | Pharmaceuticals | Pharmaceuticals | 18203523 | 29.77 | 2021-07-14 00:00:00
ALF | Software | Application Software | 14252049 | 22.35 | 2021-07-14 00:00:00
BON | Chemicals | Specialty Chemicals | 8330000 | 62.81 | 2021-07-14 00:00:00
CPLG | Equity Real Estate Investment Trusts (REITs) | Hotel & Resort REITs | 58523473 | 26.27 | 2021-07-14 00:00:00
CTIB | [NAME] | Housewares & Specialties | 4494608 | 22.61 | 2021-07-14 00:00:00
DTSS | Software | Systems Software | 21474138 | 133.45 | 2021-07-14 00:00:00
DTSTW |  |  | 0 | 32.81 | 2021-07-14 00:00:00
EPWR/WS |  |  | 0 | 20.51 | 2021-07-14 00:00:00
GBS | Health Care Equipment & Supplies | Health Care Equipment | 12382122 | 39.24 | 2021-07-14 00:00:00
HUSA | Oil, Gas & Consumable Fuels | Oil & Gas Exploration & Production | 9923338 | 36.92 | 2021-07-14 00:00:00
ITQRW |  |  | 0 | 23.21 | 2021-07-14 00:00:00
JZXN | [NAME] | Automotive Retail | 20200000 | 33.97 | 2021-07-14 00:00:00
MARPS | Oil, Gas & Consumable Fuels | Oil & Gas Exploration & Production | 2000000 | 31.85 | 2021-07-14 00:00:00
AACG | Diversified Consumer Services | Education Services | 31701188 | 59.4 | 2021-07-15 00:00:00
AHPI | Health Care Equipment & Supplies | Health Care Equipment | 4013537 | 24.35 | 2021-07-15 00:00:00
ARL | Real Estate Management & Development | Real Estate Operating Companies | 16152043 | 73.89 | 2021-07-15 00:00:00
BBIG | Leisure Products | Leisure Products | 41770204 | 24.15 | 2021-07-15 00:00:00
BLIN | Software | Application Software | 8146211 | 22.44 | 2021-07-15 00:00:00
CIDM | Entertainment | Movies & Entertainment | 165953760 | 52.78 | 2021-07-15 00:00:00
[NAME] | Biotechnology | Biotechnology | 60534922 | 25.71 | 2021-07-15 00:00:00
DTSS | Software | Systems Software | 21474138 | 45.73 | 2021-07-15 00:00:00
EVGOW |  |  | 0 | 26.32 | 2021-07-15 00:00:00
HUDI | Metals & Mining | Steel | 13125000 | 36.18 | 2021-07-15 00:00:00
MITQ | Entertainment | Movies & Entertainment | 10496667 | 45.91 | 2021-07-15 00:00:00
Spreadsheet: 774390d1648455314-how-to-filter-a-cell-dependant-on-3-other-cells-drawercosting
Sheet: CSS Quote

Qty | Brand | Model | Type | D | W | H | KG | Price
 | Blum | Antaro | Inner | 270 | 700 | M | 30
 | Blum | Antaro | [NAME] | 270 | 700 | M | 30
 |  |  |  |  |  |  |  |  |  | height is dependent on model, type & depth
 |  |  |  |  |  |  |  |  |  | <<< [NAME] of data validation in row 2
Spreadsheet: 870376d1716905484-modifying-table-to-be-more-dynamic-book2-2-
Sheet: Haldusaruanne

FinSummaHaldus |  |  |  |  |  |  |  |  | Kulukoht
Code |  |  | [NAME] |  | Client | Year |  |  | 5300 [NAME] otsused ja kohustused | 5353 Remondifondi laekumine | 5312 [NAME] intressid | 5352 Kapiralirendi põhiosa maksed | 5353 Remondifondi laekumine
SEEMNE200 |  |  | 70000869 |  | Client1 | 2024 |  |  | 1000 | 1000 | 1000 | 1000 | 5000
SEEMNE200 |  |  | 70000869 |  | Client1 | 2025 |  |  | 1000 | 1000 | 1000 | 1000 | 5000
SEEMNE200 |  |  | 70000869 |  | Client1 | 2026 |  |  | 1000 | 1000 | 1000 | 1000 | 5000
SEEMNE200 |  |  | 70000869 |  | Client1 | 2027 |  |  | 1000 | 1000 | 1000 | 1000 | 5000
SEEMNE200 |  |  | 70000869 |  | Client1 | 2028 |  |  | 1000 | 1000 | 1000 | 1000 | 5000
PURAVIKU4 |  |  | 70000869 |  | Client2 | 2024 |  |  | 1000 | 1000 | 1000 | 1000 | 5000
PURAVIKU4 |  |  | 70000869 |  | Client2 | 2025 |  |  | 1000 | 1000 | 1000 | 1000 | 5000
PURAVIKU4 |  |  | 70000869 |  | Client2 | 2026 |  |  | 1000 | 1000 | 1000 | 1000 | 5000
PURAVIKU4 |  |  | 70000869 |  | Client2 | 2027 |  |  | 1000 | 1000 | 1000 | 1000 | 5000
PURAVIKU4 |  |  | 70000869 |  | Client2 | 2028 |  |  | 1000 | 1000 | 1000 | 1000 | 5000
Spreadsheet: 755599d1636987497-help-label-a-record-depending-on-country-and-amount-sample-6-
Sheet: Test

 |  |  | DHL
Column1 | Column2 | Column3 | Column4 | Column5 | Column6 | Column7 | Val | Cntry | Category |  |  |  | value | code US MX | other
 |  |  |  |  |  |  | 1.31 | MX |  |  |  |  | 0 | B | A
 |  |  |  |  |  |  | 1.57 | CN |  |  |  |  | 20.01 | B | D
 |  |  |  |  |  |  | 90.21 | US |  |  |  |  | 40.01 | C | D
 |  |  |  |  |  |  | 65.32 | PK |  |  |  |  | 150.01 | D | D
 |  |  |  |  |  |  | 1.31 | CR
 |  |  |  |  |  |  | 104.5 | US
 |  |  |  |  |  |  | 1.31 | IN
 |  |  |  |  |  |  | 78 | US
 |  |  |  |  |  |  | 26.13 | PE
 |  |  |  |  |  |  | 163.3 | US
 |  |  |  |  |  |  | 58.79 | US
 |  |  |  |  |  |  | 1.31 | PK
 |  |  |  |  |  |  | 93.85 | PL
 |  |  |  |  |  |  | 52.92 | IN
 |  |  |  |  |  |  | 124.12 | US
 |  |  |  |  |  |  | 53.56 | US
 |  |  |  |  |  |  | 462.81 | BR
 |  |  |  |  |  |  | 114.98 | JP
 |  |  |  |  |  |  | 130.64 | HK
 |  |  |  |  |  |  | 0.01 | US
 |  |  |  |  |  |  | 28.69 | NL
 |  |  |  |  |  |  | 43.8 | JP
 |  |  |  |  |  |  | 15.68 | CN
 |  |  |  |  |  |  | 1.31 | IN
 |  |  |  |  |  |  | 17.75 | US
 |  |  |  |  |  |  | 20.99 | US
 |  |  |  |  |  |  | 108.43 | PH
 |  |  |  |  |  |  | 135.01 | JP
 |  |  |  |  |  |  | 25.19 | JP
 |  |  |  |  |  |  | 169.83 | US
 |  |  |  |  |  |  | 1.31 | CO
 |  |  |  |  |  |  | 1.31 | US
 |  |  |  |  |  |  | 1005.14 | KR
 |  |  |  |  |  |  | 2313.18 | TW
 |  |  |  |  |  |  | 102.48 | IN
 |  |  |  |  |  |  | 1.57 | US
 |  |  |  |  |  |  | 168.3 | TH
Spreadsheet: 127462d1320354705-add-extra-rows-in-time-series-rexc
Sheet: Sheet1

1 | 4829 |  | 1 | 4829
2 | 7547328 |  | 2 | 7547328
3 | 690239 |  | 3 | 690239
4 | 34332 |  | 4 | 34332
6 | 654 |  | 5 | 0
7 | 158208 |  | 6 | 654
8 | 1202 |  | 7 | 158208
1 | 324029 |  | 8 | 1202
3 | 102319 |  | 1 | 324029
4 | 3439 |  | 2 | 0
5 | 4509 |  | 3 | 102319
6 | 79070 |  | 4 | 3439
8 | 1301 |  | 5 | 4509
 |  |  | 6 | 79070
 |  |  | 7 | 0
 |  |  | 8 | 1301