tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 600094d1543461222-enter-data-based-on-2-different-cells-2-columns-different-sheets-grading-excel-form
Sheet: T1 Producing

First name | Surname | ID number | Institution | Department | Email address | Assignment: Production Logistics Document 制片文件 | Assignment: T1 Producer's Binder | Attendance: Attendance | Assignment: Short Film Written Pitch Assignment | Attendance: Professionalism | Course total
[NAME] ([NAME]) | [NAME] |  |  |  | [EMAIL] | 100 | 100 | 100 | 100 | 100 | 100
Qiran ([NAME]) | [NAME] |  |  |  | [EMAIL] | 100 | 80 | 92.86 | 100 | 100 | 93.29
Muxin | [NAME] |  |  |  | [EMAIL] | 100 | 100 | 85.71 | 100 | 100 | 98.57
[NAME] ([NAME]) | [NAME] |  |  |  | [EMAIL] | 100 | 100 | 100 | 100 | 100 | 100
Yiming ([NAME]) | [NAME] |  |  |  | [EMAIL] | 100 | 85 | 92.86 | 100 | 100 | 94.79
[NAME] ([NAME]) | Fang |  |  |  | [EMAIL] | 100 | 90 | 100 | 100 | 100 | 97
Qianyun (Fay) | Fang |  |  |  | [EMAIL] | 100 | 100 | 100 | 100 | 100 | 100
Yichao | Fu |  |  |  | [EMAIL] | - | - | - | - | - | 0
Junjie (Riol) | He |  |  |  | [EMAIL] | 100 | 100 | 100 | 100 | 100 | 100
Jiaqing (Agnes) | Kang |  |  |  | [EMAIL] | 100 | 95 | 100 | 100 | 100 | 98.5
Yuetong (Isabel) | [NAME] |  |  |  | [EMAIL] | 100 | 100 | 100 | 100 | 100 | 100
[NAME]) | [NAME] |  |  |  | [NAME] | 100 | 100 | 85.71 | 100 | 100 | 98.57
[NAME] (Klader) | [NAME] |  |  |  | [EMAIL] | 100 | 100 | 100 | 100 | 100 | 100
Ruimin (Vic) | [NAME] |  |  |  | [EMAIL] | 100 | 90 | 92.86 | 100 | 100 | 96.29
[NAME]) | [NAME] |  |  |  | [EMAIL] | 100 | 64 | 64.29 | 100 | 100 | 85.63
[NAME]Seven ） | Qi |  |  |  | [EMAIL] | 100 | 72 | 92.86 | 100 | 100 | 90.89
Junqi (Voang) | [NAME] |  |  |  | [EMAIL] | 100 | 75 | 100 | 100 | 100 | 92.5
[NAME]） | Xiao |  |  |  | [EMAIL] | 100 | 90 | 100 | 100 | 100 | 97
[NAME] (Leo) | [NAME] |  |  |  | [EMAIL] | 100 | 80 | 100 | 100 | 100 | 94
Chenyi (Freddie) | Zhang |  |  |  | [EMAIL] | 100 | 90 | 85.71 | 100 | 100 | 95.57
Linfeng (Wayne) | Zhang |  |  |  | [EMAIL] | 100 | 100 | 100 | 100 | 100 | 100
[NAME] (Vlad) | [NAME] |  |  |  | [EMAIL] | 100 | 100 | 100 | 100 | 100 | 100
Xinwei (Will) | [NAME] |  |  |  | [EMAIL] | 100 | 100 | 100 | 100 | 100 | 100
Hui ([NAME]) | Zhu |  |  |  | [EMAIL] | 100 | 100 | 100 | 100 | 100 | 100
Spreadsheet: 25c56468-c313-4378-bbd1-a10e2795704f
Sheet: Sheet1

Table 6--Wheat: National average prices received by farmers by class (dollars per bushel), 11/13/2013 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8
Month | Hard red winter |  | Soft red winter |  | Hard red spring |  | White
 | 2012/13 | 2013/14 | 2012/13 | 2013/14 | 2012/13 | 2013/14 | 2012/13 | 2013/14
June | 6.53 | 7.35 | 6.59 | 6.92 | 7.81 | 7.73 | 6.61 | 7.29
July | 7.74 | 7.04 | 7.84 | 6.55 | 8.41 | 7.29 | 7.76 | 7.19
August | 7.97 | 6.94 | 8.3 | 6.34 | 8.32 | 6.98 | 7.66 | 6.9
September | 8.36 | 6.92 | 8.38 | 6.19 | 8.42 | 6.72 | 7.99 | 6.71
October | 8.43 |  | 8.35 |  | 8.6 |  | 8.1
November | 8.49 |  | 8.34 |  | 8.69 |  | 8.14
December | 8.2 |  | 8.19 |  | 8.5 |  | 7.99
January | 8.02 |  | 7.9 |  | 8.38 |  | 8.03
February | 7.75 |  | 7.78 |  | 8.11 |  | 8.05
March | 7.5 |  | 7.46 |  | 7.94 |  | 8.05
April | 7.49 |  | 7.42 |  | 7.91 |  | 7.71
May | 7.56 |  | 7.31 |  | 7.86 |  | 7.42
Source: USDA, National Agricultural Statistics Service, Agricultural Prices.
Date run: 11/12/2013
Spreadsheet: sally_beck__33709__super20001
Sheet: Sheet1

June 3, 2000 Super Saturday Candidates
 |  |  | Offer |  | Preliminary | Pre-Assigned | Bidding
Name |  |  | Status |  | Start Date | Group | Groups | Comments
Associates:
[NAME] |  |  | Pending |  | Pending | Coal | Assets
[NAME] |  |  | Accepted |  | 2000-07-05 00:00:00 | Assets | CTG
[NAME] |  |  | Accepted |  | 2000-06-19 00:00:00 | Power-East
[NAME] |  |  | oral acceptance |  | 2000-07-05 00:00:00 | Gas Trading
[NAME] |  |  | Accepted |  | Within 90 days | Hickerson | CTG-Lemmons | Possible visa problems
[NAME] |  |  | Accepted |  | 2000-07-10 00:00:00 | Energy Ops | CTG/Energy Ops | Bagwell expressed desire for Energy Ops
[NAME] |  |  | oral acceptance |  | 2000-07-05 00:00:00 | Hickerson | Crude
[NAME] |  |  | oral acceptance |  | 2000-07-05 00:00:00 | Coal
[NAME] |  |  | oral acceptance |  | 2000-07-31 00:00:00 | Gas Trading
[NAME] |  |  | Accepted |  | 2000-07-05 00:00:00 | Coal
[NAME] |  |  | oral acceptance |  | July | Gas Trading | Pulp & Paper
[NAME] |  |  | oral acceptance |  | 2000-10-02 00:00:00 | Hickerson | Assets
Salvador Diaz |  |  | Pending |  | Pending | CTG
[NAME] |  |  | Accepted |  | August | Mexico
[NAME] |  |  | oral acceptance |  | 2000-08-14 00:00:00 | Hickerson |  | Finish dissertation, visa
[NAME] |  |  | oral acceptance |  | 2000-07-17 00:00:00 | Coal
[NAME] |  |  | oral acceptance |  | 2000-07-05 00:00:00 | CTG | Power-West review | Possible visa problems
[NAME] |  |  | oral acceptance |  | 2000-08-14 00:00:00 | Hickerson
[NAME] Rorschach |  |  | oral acceptance |  | 2000-08-01 00:00:00 | Hickerson
[NAME] |  |  | oral acceptance |  | 2000-07-17 00:00:00 | Power-East | CTG
[NAME] |  |  | oral acceptance |  | 2000-07-31 00:00:00 | Gas Trading | Weather/Gas Trading
Analysts:
[NAME] |  |  | oral acceptance |  | 2000-07-05 00:00:00 | Power-East
[NAME] |  |  | Accepted |  | 2000-06-21 00:00:00 | Calgary | CTG
[NAME] |  |  | oral acceptance |  | 2000-07-05 00:00:00 | Gas Trading | Energy Ops
[NAME] |  |  | oral acceptance |  | 2000-07-13 00:00:00 | Power-East | Energy Ops
[NAME] |  |  | Accepted |  | 2000-08-01 00:00:00 | Pulp & Paper |  | Possible visa problems
[NAME] |  |  | oral acceptance |  | 2000-07-05 00:00:00 | Gas Trading | Energy Ops
[NAME] |  |  | declined |  | declined |  |  | Going to Scwab in Denver
Other potential direct hires:
[NAME] |  | UT
[NAME] |  | Phoenix
[NAME] |  | UT Dallas/ UT
[NAME] |  | HBU/Baylor
[NAME] |  | Houston
[NAME] |  | Illinois
Spreadsheet: 48027407-d03d-4517-b145-545124788143
Sheet: Sheet1

[NAME] | Unnamed: 1 | Unnamed: 2
Quelle: http://ergebnisse.vimentis.ch/
Frage:
Falls mehr in die Verkehrsinfrastruktur investiert wird, wo soll der Schwerpunkt der [NAME] liegen?
 | [NAME]:
Antwort | männlich | weiblich
[NAME] | 0.55 | 0.63
Strasseninfrastruktur | 0.34 | 0.25
Neutral / Weiss nicht | 0.1 | 0.13
Angaben zu den [NAME]
Erhebungsjahr | 2011
Stichprobengrösse | 30565
Erhebungszeitraum | 05.11.2011 bis: 30.12.2011
[NAME] | [NAME]
Methodik / Repräsentativität
Um soziodemographische Verzerrungen [NAME], wurden sämtliche [NAME] nach [NAME], Alter, Bildung und Region gemäss der wahren [NAME] älter als 15 Jahre gewichtet. Es bleibt eine psychographische Verzerrung wegen
der [NAME] über das Internet, welche nicht korrigiert [NAME]. Diese Verzerrung wird anhand einzelner [NAME] für jede [NAME] abgeschätzt. Demnach sind [NAME] auf dieser Seite angegebenen [NAME] mit einer
Präzision von &plusmn;2% [NAME].
[NAME] und [NAME] auf dieser Seite dürfen unter Angabe der Quelle weiterverwendet werden.
Spreadsheet: 110669d1307289676-inserting-rows-countries
Sheet: other developing

Angola
[NAME] and [NAME]
Azerbaijan
Bahamas, The
Bahrain
Bangladesh
Barbados
Belarus
Belize
Benin
Bhutan
Bolivia
Botswana
[NAME]
[NAME]
Burundi
Cambodia
Cameroon
Cape Verde
Central African Republic
Chad
Comoros
Congo, Democratic Republic of
Congo, Republic of
Côte d'Ivoire
Djibouti
Dominica
Equatorial Guinea
Eritrea
Estonia
Ethiopia
Fiji
Gabon
Gambia, The
Ghana
Grenada
Guinea
Guinea-Bissau
Guyana
Haiti
Honduras
India
Indonesia
Iran, Islamic Republic of
Iraq
Kenya
Kiribati
Kosovo
Kuwait
Kyrgyz Republic
Lao People's Democratic Republic
[NAME]
Liberia
Libya
Madagascar
[NAME]
Maldives
[NAME]
Mauritania
[NAME]
Moldova
Mongolia
Montenegro
Mozambique
Myanmar
Namibia
Nepal
Nicaragua
[NAME]
Nigeria
Oman
[NAME]
ParaguayPeru
Qatar
Romania
Rwanda
Samoa
São Tomé and Príncipe
Saudi Arabia
Senegal
Seychelles
Sierra Leone
Solomon Islands
St. Kitts and Nevis
St. Lucia
St. Vincent and the Grenadines
Sudan
Syrian Arab Republic
Tajikistan
Tanzania
Suriname
Timor-Leste
Togo
Tonga
Trinidad and Tobago
Turkmenistan
Uganda
United Arab Emirates
Uzbekistan
[NAME]
Yemen, Republic of
Zambia
Zimbabwe
Spreadsheet: darrell_schoolcraft__7325__imball0202
Sheet: EOG

 | 500249 |  | 500260 |  | 500646 |  | 500598
 | Pronghorn |  | Pitchfork Ranch |  | Tristi Draw |  | EOG/TW Eddy
Day | Measured | Scheduled | Measured | Scheduled | Measured | Scheduled | Measured | Scheduled
1 | 8109 | 7700 | 7524 | 8000 |  | 3500 | 5621 | 3500
2 | 7487 | 7700 | 8454 | 8000 |  |  | 5644 | 7000
3 | 7329 | 7700 | 8774 | 8000 |  |  | 5629 | 7000
4 | 7232 | 7700 | 8619 | 8000 |  |  | 6650 | 7000
5 | 7130 | 7700 | 8498 | 8000 | 1 |  | 6285 | 7000
6 | 8341 | 7700 | 8747 | 8000 |  |  | 5673 | 7000
7 | 9046 | 7700 | 5199 | 8000 |  |  | 1107
8 | 8490 | 7700 | 4470 | 8000
9 | 7931 | 7700 | 8850 | 8000
10 | 7777 | 7700 | 8458 | 8000
11 | 7673 | 7700 | 8800 | 8000 |  |  | 265
12 | 7457 | 7700 | 9083 | 8000 |  |  | 913
13 | 7123 | 7700 | 8979 | 8000
14 | 12291 | 7700 | 9160 | 8000 |  |  | 1482
15 | 11610 | 8000 | 9275 | 8700 |  |  | 23
16 | 13054 | 11000 | 9247 | 8700
17 | 10833 | 11000 | 9133 | 8700 |  |  | 101
18 | 12772 | 11000 | 9577 | 8700 |  |  | 499
19 | 12875 | 11000 | 9582 | 8700
20 | 12760 | 11000 | 8908 | 8700
21 | 10963 | 14000 | 9111 | 9700
22 | 12406 | 14000 | 9057 | 10186
23 | 10756 | 14500 | 8551 | 10686
24
25
26
27
28
29
30
31
2002-01-31 00:00:00 |  |  |  |  |  |  |  |  | 18846.61
2002-02-23 00:00:00
CBS Volume
 |  |  | -118658
Spreadsheet: dan_hyvl__4883__Engage Energy US
Sheet: AMASTPSA 

MASTER FIRM PURCHASE/SALE AGREEMENT INFORMATION SHEET
ECT Entity: | ECT | ATTORNEY: | [NAME]
DATE: | 2000-08-29 00:00:00 | ECT CONTACT:
COUNTERPARTY: | Engage Energy US, L.P. | CONTACT: | [NAME]
ADDRESS: | Five Greenway Plaza | TITLE: | Contracts
 | Suite 1200 | PHONE: | [PHONE]
 | Houston, TX  77046 | FAX:
INCORPORATION STATE: | Deleware | S&P RATING: | N/A
STRUCTURE | COUNTERPARTY | ECT ENTITY
COLLATERAL
THRESHOLD  in $ | $10MM | $10MM
COMMITTED VOLUMES
THRESHOLD in $[NAME] | N/A | N/A
COLLATERAL REQUIRED FOR:
ALL TRADES
OTHER | N/A | N/A
COLLATERAL TYPE
Letter of Credit | OK | OK
COLLATERAL  MULTIPLE | 250000 | 250000
GUARANTOR (RATING) | ***The Coastal Corporation (BBB+) | ***Enron Corp (BBB+)
LIMIT in $[NAME] | $25MM | $35MM
Incorporation State: | TX | OR
MATERIAL ADVERSE CHANGE TRIGGERS  APPLY TO:
-Counterparty
-Guarantor | X | X
Debt Ratings Change | X | X
-Below = | BBB- | BBB- | S&P
Financial Covenants
-Funded Debt/Net Worth
-Minimum Net worth
-Cash Flow/CMLTD
-Current Ratio
Non-Specific
-Unilateral
Ownership Change
-Less than 51% owned by:
Non-Standard Definitions
-Funded Debt
-Net Worth
-Cash Flow
EVENTS OF DEFAULT
3rd party debt
-Counterparty
-Guarantor ($[NAME]) | $50MM | $100MM
FIN'L STATEMENTS
-Standard | X | X | Upon request
CREDIT DECISION: | APPROVED:  X | DECLINED:
OUTSTANDING PHYSICAL TRADES: |  | YES:     X | NO:
ALL TRADES TO ROLL UP UNDER NEW MASTER: |  | YES:     X | NO:
OTHER COMMENTS
***Enron and Coastal currently reciprocate guaranty's that cover Physical MTM for physical gas.  I am not sure if the
guaranty's cover delivery's although should be amended if they do not.
ALSO, the current outgoing guaranty amount is $35MM, the guaranty needs to be amended or a new
one needs to be issued for $25MM that covers Engage Energy US alone, and ENA, EPMI, and [NAME].
ALSO, the guaranty should reference the Master Energy agreement with EPMI.
***We will most likely need to issue an additional guaranty covering Engage Canada seperately.
CREDIT REVIEW  PREPARED BY: |  | [NAME] | X5-7095
Spreadsheet: 857386d1706410285-how-to-arrange-according-to-rules-cg
Sheet: Sheet1

Class | Name | Model | Quantity |  |  |  |  |  | Class | Name | Model | Quantity
balance | A | 1 | 100 | balance | A | 1 | 100 |  |  | A | 1
balance | B | 1 | 100 | inbound | A | 1 | 100 |  | inbound | A | 1
inbound | A | 1 | 100 | inbound | A | 1 | 200 |  | inbound | A | 1
inbound | A | 1 | 100 | balance | A | 2 | 100 |  | balance | A | 2
inbound | B | 1 | 100 | outbound | A | 2 | 100 |  | outbound | A | 2
balance | A | 2 | 100 | balance | B | 1 | 100 |  | balance | B | 1
outbound | A | 2 | 100 | inbound | B | 1 | 100 |  | inbound | B | 1
outbound | C | 1 | 100 | outbound | C | 1 | 100 |  | outbound | C | 1
Spreadsheet: 870337d1716881432-add-a-row-before-a-group-of-values-latest-mubijazz-2-
Sheet: Sheet1

 | Emp | PRO-1 | PRO-2 | PRO-3 | PRO-4
Region-1 Middle East - 1
Region-1 | EMP-1 | Y
Region-1 | EMP-2 |  | Y
Region-1 | EMP-3 |  |  |  | Y
Region-1 | EMP-4 |  | Y
Region-1 | EMP-5 | Y
Region-1 | [NAME] |  | Y
Sub-total Region-1 | 6 | 0.3333333333333333 | 0.5 | 0 | 0.1666666666666667
Region-2 Europe
[NAME] | EMP-1 |  |  | Y
[NAME] | EMP-2 |  | Y
[NAME] | EMP-3 |  |  | Y
[NAME] | EMP-4 |  | Y
Sub-total Region-2 | 4 | 0 | 0.5 | 0.5 | 0
Region-3 South Asia
Region-3 | EMP-1 |  |  | Y
Region-3 | EMP-2 |  | Y
Region-3 | EMP-3 |  |  | Y
Region-3 | EMP-4 |  | Y
Sub-total Region-3 | 4 | 0 | 0.5 | 0.5 | 0
Region-4 Middle East - 2
Region-4 | EMP-1 |  |  | Y
Region-4 | EMP-2 | Y
Region-4 | EMP-3 |  |  | Y
Region-4 | EMP-4 |  | Y
Sub-total Region-4 | 4 | 0.25 | 0.25 | 0.5 | 0
Region-5 North America
Region-5 | EMP-1 | Y
Region-5 | EMP-2 |  |  | Y
Region-5 | EMP-3 |  |  | Y
Sub-total Region-5 | 3 | 0.3333333333333333 | 0 | 0.6666666666666666 | 0
Region-6 China
Region-6 | EMP-1 | Y
Region-6 | EMP-2 |  |  | Y
Region-6 | EMP-3 |  |  | Y
Region-6 | EMP-4 | Y
Region-6 | EMP-5 |  |  | Y
Region-6 | [NAME] | Y
Region-6 | EMP-7 |  |  | Y
Region-6 | EMP-8 |  |  | Y
Sub-total Region-6 | 8 | 0.375 | 0 | 0.625 | 0
[NAME]
[NAME] | EMP-1 | Y
Sub-total [NAME] | 1 | 1 | 0 | 0 | 0
Total EMPs | 30 | 8 | 8 | 13 | 1
Total regions | 7 | 0.2666666666666667 | 0.2666666666666667 | 0.4333333333333333 | 0.03333333333333333
Spreadsheet: 732674d1621147419-create-a-drop-down-list-with-a-diminishing-data-set-dynamic-drop-down
Sheet: NAME LIST

NAMES |  | LFIELD |  | CENTER |  | RFIELD |  | SHORTSTOP |  | PITCHER |  | CATCHER |  | 1STBASE |  | 2NDBASE |  | 3RDBASE
Philbert
Marnip
Flamhammer
Learcock
Nibhibbit
[NAME]
Crimphany
Noodlebopper
Spreadsheet: 813200d1673612065-identifying-text-and-sorting-data-accordingly-text_finden
Sheet: Tabelle1

Anlieferung 1 | [NAME] | Anlieferung 3 | [NAME] | Anlieferung 5 | Anlieferung 6 |  |  | Freude | B | C | D | E | F
10 | 15 | 23 | 41 | 7 | 19
Task:
If a cell A1 to F1 contains e.g. text "Anlieferung Freude", then output to column "Joy" Output cell I2 = A11 to F11
Example:
Cell B1 contains "[NAME]", then the number from B11 is to be output in the "Freude" column (cell I1) in cell I2.
If, on the other hand, "[NAME]" is in D1, the value of D11 would of course have to be output in the "Freude" column (cell I1) in cell I2.
Solution approach:
 | when I specify the array A1 to F1 the formula does not work
 | and I don´t know how to choose the corresponding cell from A11 to F11?
Spreadsheet: john_griffith__15684__Book1
Sheet: Sheet1

 |  |  | Natural Gas Straddles
 | Month | Strike | Bid | Offer | Mid-Pt. Vol | Net Change
 | M | 4.6 | 0.34 | 0.365 | 0.5539999999999947 | 0.04229999999999534
 | N | 4.65 | 0.675 | 0.685 | 0.525 | 0.01589999999999825
 | Q | 4.7 | 0.88 | 0.9 | 0.5290000000000006 | 0.01334999999999853
 | U | 4.7 | 1.08 | 1.1 | 0.5421999999999998 | 0.01049999999999884
 | V | 4.75 | 1.23 | 1.26 | 0.5508000000000005 | 0.01289999999999858
 | X | 4.95 | 1.42 | 1.47 | 0.5571000000000002 | 0.001799999999999802
 | Z | 5.1 | 1.61 | 1.67 | 0.5668000000000005 | 0.00689999999999924
 | F | 5.15 | 1.76 | 1.82 | 0.5723000000000005 | -0.005699999999999372
 | G | 5 | 1.81 | 1.87 | 0.5728999999999997 | -0.000299999999999967
 | H | 4.8 | 1.65 | 1.7 | 0.5147000000000002 | -0.002699999999999703
 | J | 4.4 | 1.25 | 1.35 | 0.4156999999999988 | 0.01379999999999848
 | K | 4.3 | 1.15 | 1.25 | 0.38 | 0.001799999999999802
 |  |  | 2001-05-15 12:26:51.620000
Spreadsheet: 47196d1246122650-generating-permutations-and-combinations-permutations-trial
Sheet: Sheet1

 |  |  |  |  |  |  |  |  | ITEMS | Picked Items | Group of ?
 | A | B | C | D |  |  |  |  | A | A | 6 | 720 | 6
 | 6 | 6 | 12 | 24 | 24 |  |  |  | B | B |  |  | 5
 |  |  |  |  |  |  |  |  | C | C |  |  | 4
1 | AB | ABC | AB | ABC | ABCD |  | 1 |  | D | D |  |  | 3
2 | AC | ACB | AC | ABD | ABDC |  | 2 |  | E | E |  |  | 2
3 | BC | BCA | AD | ACD | ACBD |  | 3 |  | F | F |  |  | 1
4 | CA | BAC | BC | ACB | ACDB |  | 4
5 | CB | CAB | BD | ADB | ADBC |  | 5 |  |  |  | 720
6 | BA | CBA | BA | ADC | ADCB |  | 6
7 |  |  | CD | BCD | BACD
8 |  |  | CB | BCA | BADC
9 |  |  | CA | BDC | BCAD
10 |  |  | DA | BDA | BCDA
11 |  |  | DB | BAD | BDAC
12 |  |  | DC | BAC | BDCA
13 |  |  |  | CDA | CDAB
14 |  |  |  | CDB | CDBA
15 |  |  |  | CAB | CABD
16 |  |  |  | CAD | CADB
17 |  |  |  | CBD | CBAD
18 |  |  |  | CBA | CBDA
19 |  |  |  | DAB | DABC
20 |  |  |  | DAC | DACB
21 |  |  |  | DBC | DBCA
22 |  |  |  | DBA | DBAC
23 |  |  |  | DCA | DCAB
24 |  |  |  | DCB | DCBA
Spreadsheet: 216276d1361692565-how-to-count-discount-price-price_decreasing_rate
Sheet: Blad1

For whole minutes: |  | Cost | formula |  | 1 | 60
Minutes: | 5 | 160 |  |  | 2 | 40
 |  |  |  |  | 3 | 20
Condition 1: (B2>0) | Yes | 60
Condition 2: (B2>=2) | Yes | 40
Condition 3: (B2>2) | Yes | 60
Sum: |  | 160
For fractions of minutes: |  | Cost
Minutes: | 0 | 0
 | 0.5 | 30
 | 1 | 60
 | 1.5 | 80
 | 2 | 100
 | 2.5 | 110
 | 3 | 120
 | 3.5 | 130
 | 4 | 140
 | 4.5 | 150
 | 5 | 160
 | 5.75 | 175
Spreadsheet: 755288d1636751308-help-with-formula-for-cash-flow-sheet-inla-mningsuppgift-copy
Sheet: Försäljningsvärden

Sales/Revenue
M1 | M2 | M3 | M4 | M5 | M6 | M7 | M8 | M9 | M10 | M11 | M12 | [NAME] | M14 | M15 | M16 | [NAME] | M18 | M19 | M20 | M21 | M22 | M23 | M24 | M25 | M26 | M27 | M28 | M29 | M30 | M31 | M32 | M33 | M34 | M35 | M36 | M37 | M38 | M39 | M40 | M41 | M42 | M43 | M44 | M45 | M46 | M47 | M48 | M49
0 | 5000 | 10000 | 15000 | 15000 | 20000 | 30000 | 35000 | 30000 | 25000 | 20000 | 20000 | 15000 | 15000 | 20000 | 25000 | 25000 | 30000 | 40000 | 45000 | 40000 | 35000 | 30000 | 30000 | 25000 | 25000 | 30000 | 35000 | 35000 | 40000 | 50000 | 55000 | 50000 | 45000 | 35000 | 40000 | 35000 | 45000 | 50000 | 55000 | 25000 | 30000 | 40000 | 60000 | 65000 | 70000 | 60000 | 50000 | 55000
Spreadsheet: dana_davis__4465__CONVERSIONCHARTSAdmin
Sheet: 012

Old Company | Old RC | New Company | Cost Center | Description
012 | 1704 | 012 | 105996 | NA-HPL Asset Facility Planning
012 | 2177 | 012 | 106664 | NA-Gas Sales & Purchases
012 | 2926 | 012 | 106331 | NA-Right of Way
012 | 1802 | 012 | 106663 | NA-Gas Sales & Purchases
012 | 2668 | 012 | 106019 | NA-Executive
012 | 0483 | 012 | 106017 | NA-Executive
012 | 1008 | 012 | 106372 | NA-Asset Management
012 | 2665 | 012 | 105997 | NA-Engineering
012 | 2016 | 012 | 106715 | NA-LRC Business Development
012 | 2938 | 012 | 105995 | NA-Construction-Special Projects Team
012 | 2937 | 012 | 105994 | NA-Construction
012 | 2936 | 012 | 105993 | NA-Construction
012 | 2928 | 012 | 105992 | NA-Construction
012 | 1701 | 012 | 105989 | NA-HPL Asset Management
012 | 1639 | 012 | 105988 | NA-Gas Assets Supply
012 | 1703 | 012 | 105986 | NA-HPL Asset Strategic Ventures
012 | 2669 | 012 | 105984 | NA-Generation Services
012 | 2656 | 012 | 106012 | NA-Asset Trading
012 | 1029 | 012 | 106712 | NA-HPL General
012 | 2799 | 012 | 106330 | NA-Warehouse Operations
012 | 0284 | 012 | 106328 | NA-Engineering Records
012 | 2014 | 012 | 106683 | NA-Asset Management
012 | 2927 | 012 | 106332 | NA-Project Completion
012 | 2933 | 012 | 106292 | NA-TX Transport and Rate Mgmt
012 | 1092 | 012 | 106337 | NA-Measurement
012 | 1343 | 012 | 106716 | NA-Houston Pipeline
012 | 0456 | 012 | 106344 | NA-Enron Communications
012 | 2015 | 012 | 105983 | NA-Producer Services
012 | 1025 | 012 | 105927 | NA-Zone 6 [NAME]
012 | 1028 | 012 | 105938 | NA-Zone 17 Corpus Loop
012 | 1065 | 012 | 105965 | NA-Zone 44 A/S 1
012 | 1093 | 012 | 106713 | NA-HPL Other
012 | 1933 | 012 | 106714 | NA-Unify Pops
012 | 0000 | 012 | 106662 | NA-Gas Sales & Purchases
012 | 2175 | 012 | 106673 | NA-Compressor Services
012 | 1191 | 012 | 106338 | NA-HPL Sirius
012 | 1747 | 012 | 105978 | NA-HPL Transportation and Storage
012 | 0818 | 012 | 105977 | NA-HPL Gas Logistics
012 | 0661 | 012 | 105976 | NA-Gas Logistics
012 | 0332 | 012 | 105975 | NA-HPL Gas Logistics
012 | 3388 | 012 | 105950 | NA-Zone 29 Blessing
012 | 2327 | 012 | 105756 | NA-CTG Treasury
012 | 1808 | 012 | 105692 | NA-Company 012 Group Non Controllable
012 | 1702 | 012 | 105982 | NA-HPL Business and Development
012 | 0236 | 012 | 105639 | NA-Energy Ops HPL Logistics Tech Ops
012 | 2664 | 012 | 105630 | NA-Energy Ops HPLC Logistics Unify
012 | 2663 | 012 | 105629 | NA-Energy Ops HPLC Logistics Unify
Spreadsheet: 856116d1705487517-find-the-index-of-last-zero-after-which-the-entries-start-increasing-workbook1
Sheet: Sheet1

 | 0 | 10 | 20 | 30 | 40 | 50 | 60 | 70 | 80 | 90 | 100 | 110 | 120 | 125 | 130 | 135 | 140 | 141 | 142 | 143 | 144 | 145 | 146 | 147 | 148 | 149 | 150 | Determined Index
Series 1 | 20 | 20 | 20 | 16 | 18 | 17 | 15 | 18 | 15 | 14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20
series 2 | 20 | 20 | 20 | 19 | 18 | 18 | 19 | 19 | 17 | 18 | 19 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 70 |  |  | 70
 | In series 1, there is a value 16 at index 30 which is below 18, so in this case, i would like to return 20 as the index.
 | In series 2, when 17 appears at index 80, the last value before 17 which was greater than or equal to 18 is at index 70 = value 19.The returned value should be 70
 | Numbers between 20 and 18 are acceptable but as soon as the numbers go below 18, the determined index must be: the index of the last value which was above 18 or equal to 18.
Spreadsheet: 860737d1708721616-issue-with-vstack-formula-kansas-scheduler-v4-
Sheet: Not in Production (Kitting)

[NAME] from date below↓ |  | DO NOT EDIT IN THIS REPORT
2024-02-21 00:00:00
Not in Production (Kitting)
Client | Job # | # of Stores | # of Pieces | Ship Date | Notes
 | HHGJ 188 | 69 | 89 | 2024-03-01 00:00:00 | [NAME]
E03055560- MENS Vans Q1 0226 | 0 | 18 | 5 | 2024-03-01 00:00:00 | 0
BASS 245365 [1] | 245365 | 34 | 34 | 2024-03-01 00:00:00 | 0
SAVERS FSC | 0 | 330 | 1975 | 2024-03-04 00:00:00 | 0
DXL | 244647 | 240 | 242 | 2024-03-04 00:00:00 | PLACEMARKER
DXL | 244653 | 2 | 2 | 2024-03-04 00:00:00 | 0
HHGJ | 166 | 69 | 145 | 2024-03-04 00:00:00 | PLACEMARKER- + 4pcs of Sintra- Nike Swim- E03074917
North American | 0 | 0 | 549 | 2024-03-06 00:00:00 | PLACEMARKER
NAC 244862 [11] | 244862 | 559 | 574 | 2024-03-11 00:00:00 | 0
Savers Endcap FSC Prints | 0 | 315 | 1769 | 2024-03-12 00:00:00 | [NAME]
Blast Media March All Gender Run Campaign | 0 | 92 | 185 | 2024-03-12 00:00:00 | [NAME]
HHG TMOB Prepaid Refresh | 0 | 4048 | 12875 | 2024-03-14 00:00:00 | PLACEMARKER
[NAME] | 0 | 145 | 995 | 2024-03-15 00:00:00 | PLACEMARKER
GGPM | 0 | ? | 0 | 2024-03-15 00:00:00 | PLACEMARKER
TMOB- APPLE NPI- SPRING | 0 | ? | 0 | 2024-03-15 00:00:00 | PLACEMARKER
[NAME] paper store | 0 | ? | 1100 | 2024-03-25 00:00:00 | PLACEMARKER
CKCC | 0 | ? | 0 | 2024-03-26 00:00:00 | PLACEMARKER
Hallmark- [NAME] | 0 | ? | 0 | 2024-03-27 00:00:00 | PLACEMARKER
GGPM | 0 | ? | 0 | 2024-05-03 00:00:00 | PLACEMARKER
GGPM | 0 | ? | 0 | 2024-09-04 00:00:00 | PLACEMARKER
TMOB- APPLE NPI- FALL | 0 | ? | 0 | 2024-09-14 00:00:00 | PLACEMARKER