tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 826169d1681835725-vlookup-n-a-error-wth
Sheet: Input

Client Name | Client MRN | Client DOB | Date | Gender | Examiner |  | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | 30 | 31 | 32 | 33 | 34 | 35 | 36 | 37 | 38 | 39 | 40 | 41 | 42 | 43 | 44 | 45 | 46 | 47 | 48 | 49 | 50 | 51 | 52 | 53 | 54 | 55 | 56 | 57 | 58 | 59 | 60 | 61 | 62 | 63 | 64 | 65 | 66 | 67 | 68 | 69 | 70
 |  | random age entered |  | Male | [NAME] |  |  |  |  |  |  |  |  |  |  |  | Male
 |  | in score sheet [NAME] |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Female
Trails | Raw Time in Seconds
Trail 1 |  | random
Trail 2 |  | numbers
Trail 3 |  | between 10
Trail 4 |  | and 30
Trail 5
Spreadsheet: 720008d1613975873-logic-updates-to-existing-formulas-duplicates-exclusion-lookups-samplep-update-1-ans3
Sheet: SHIP

ID |  |  | type | rec count |  | [NAME] |  | [NAME] |  |  | Counts |  |  |  |  | Counts:
1163603 |  |  | Final | 302404597 |  | Net Down |  | C D w/ I |  | Final |  |  |  |  |  |  |  |  |  |  |  | Scenario 1 -> Column Q is duplicating the counts currently | Expected Value:302,404,597
1163603 |  |  | Final | 302404597 |  | Net Down |  | C D w/ I |  | Final |  |  |  |  |  |  |  |  |  |  |  | Scenario 1 -> Column Q is duplicating the counts currently | Expected Value:302,404,597
1172600 |  |  | A | 0 |  | Post 100% |  | A |  | Final |  |  |  |  |  |  |  |  |  |  |  | Scenario 1 -> Column Q is duplicating the counts currently | Expected Value: 50,039
1172600 |  |  | INT | 35360098 |  | Post 100% |  | C D w/o I |  | Final |  |  |  |  |  |  |  |  |  |  |  | Scenario 1 -> Column Q is duplicating the counts currently | Expected Value: 50,039
1172600 |  |  | Final | 50039 |  | Post 100% |  | C D w/ I |  | Final |  |  |  |  |  |  |  |  |  |  |  | Scenario 1 -> Column Q is duplicating the counts currently | Expected Value: 50,039
1172600 |  |  | Final | 50039 |  | Post 100% |  | C D w/ I |  | Final |  |  |  |  |  |  |  |  |  |  |  | Scenario 1 -> Column Q is duplicating the counts currently | Expected Value: 50,039
1179778 |  |  | Final | 11431902 |  | Post 100% |  | C D w/ I |  | Final Reject Sample |  |  |  |  |  |  |  |  |  |  |  | Scenario 1 -> "Rej" is found in Column K for this ID | Expected Value: 11431902
1179778 |  |  | Final | 393559 |  | Post 100% |  | C D w/ I |  | Final |  |  |  |  |  |  |  |  |  |  |  | Scenario 1 -> "Rej" is found in Column K for this ID | Expected Value: 11431902
1224113 |  |  | Final | 21429 |  | Post 100% |  | C D w/ I |  | Final
1226191 | BB of B |  | Final | 90076559 |  | Net Down |  | C D w/ I |  | Final
1226191 | BB of B |  | Final |  |  | Net Down |  | Rp |  | Final
1226572 | AAA |  | INT | 33882484 |  | Post 100% |  | C D w/o I |  | Final
1226572 | AAA |  | Final | 249975 |  | Post 100% |  | C D w/ I |  | Final
Spreadsheet: 157423d1337720531-automatically-sort-the-data-and-ranking-based-on-the-sorted-data-schedule-calculator
Sheet: Ranking

RANKING | Employee ID | Name | Quality Score | [NAME] avg | AHT | AHT Weighted avg | Attendance | Att Weighted avg | [NAME] | Sch. Weighted Avg. | Initiatives | Total Weighted Average
1 | A2559 | Sandeep Jain D | 0.9906635555555554 | 0.3962654222222221 | 1 | 0.2 | 0.9655 | 0.144825 | 0.9968876509293174 | 0.1993775301858635 | 0.05 | 0.9904679524080856
2 | A978 | Nasrin Warsi | 0.995 | 0.398 | 0.96 | 0.192 | 1 | 0.15 | 0.99671859763044 | 0.199343719526088 | 0.05 | 0.989343719526088
3 | A3784 | [NAME] | 0.9976480000000001 | 0.3990592 | 0.94 | 0.188 | 1 | 0.15 | 0.9954050151367477 | 0.1990810030273495 | 0.05 | 0.9861402030273496
4 | A378 | [NAME] | 0.9975 | 0.3990000000000001 | 0.9 | 0.18 | 0.9574 | 0.14361 | 0.9849666145424042 | 0.1969933229084808 | 0.05 | 0.969603322908481
5 | A1128 | Rajeev [NAME] | 0.96 | 0.384 | 0.98 | 0.196 | 0.7857 | 0.117855 | 0.9877758900768197 | 0.1975551780153639 | 0.05 | 0.9454101780153641
6 | A942 | [NAME] | 0.9093333333333333 | 0.3637333333333334 | 0.88 | 0.176 | 0.9545 | 0.143175 | 0.9943798235493915 | 0.1988759647098783 | 0.05 | 0.9317842980432118
7 | A2733 | [NAME] | 0.9123319999999999 | 0.3649328 | 0.92 | 0.184 | 0.8636 | 0.12954 | 0.9917845633654846 | 0.1983569126730969 | 0.05 | 0.9268297126730969
Spreadsheet: 29360d1224299367-formulas-based-on-cells-selectrangebycondition
Sheet: Sheet1

Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec
14 | 34 | 40 | 5 | 15 | 9 | 47 | 26 | 8 | 18 | 11 | 8
43 | 3 | 28 | 0 | 34 | 13 | 3 | 42 | 7 | 28 | 45 | 9
5 | 2 | 35 | 35 | 15 | 4 | 48 | 17 | 16 | 15 | 36 | 32
9 | 31 | 26 | 4 | 22 | 9 | 21 | 8 | 19 | 6 | 20 | 40
3 | 28 | 17 | 5 | 0 | 25 | 5 | 5 | 13 | 48 | 8 | 24
26 | 31 | 37 | 46 | 42 | 48 | 30 | 10 | 0 | 8 | 17 | 5
19 | 4 | 26 | 22 | 23 | 49 | 14 | 17 | 37 | 15 | 26 | 19
40 | 9 | 13 | 13 | 40 | 11 | 13 | 32 | 16 | 1 | 28 | 31
 | 213 | 2
Spreadsheet: 98166d1297191982-find-of-multiples-of-edate-between-two-dates-example
Sheet: Example

 | Proforma Sheet
 |  | Closing Date | End of First Period
 | End of Period | 0
 | Month
 | Date | 2009-12-01 00:00:00 | 2010-12-01 00:00:00 | 2011-01-01 00:00:00 | 2011-02-01 00:00:00 | 2011-03-01 00:00:00 | 2011-04-01 00:00:00 | 2011-05-01 00:00:00 | 2011-06-01 00:00:00 | 2011-07-01 00:00:00 | 2011-08-01 00:00:00 | 2011-09-01 00:00:00 | 2011-10-01 00:00:00 | 2011-11-01 00:00:00 | 2011-12-01 00:00:00
 | Payment 2
 | Expected Value from Unknown Formula |  | 2000 |  |  |  |  |  | 1000 |  |  |  |  |  | 1000
 | Assumption Sheet
 | [NAME]
 | Calculated
 | Name | Payment Amount | Payment Frequency | First Payment Date | Last Payment Date | Calculated # of Periods | Period Multiplier | Period Frequency Add
 | Payment 2 | 1000 | Semi Annual | 2009-12-01 00:00:00 | 2011-12-01 00:00:00
 | dpm_name_2 | dpm_2_amount | dpm_2_payment_frequency | dpm_2_first_payment_date | dpm_2_last_payment_date | calculated_periods | dpm_2_period_multiplier | dpm_2_PeriodFreqAdd
 | Hidden Sheet
 | Payment Frequency
 | Daily
 | Monthly
 | Quarterly
 | Semi Annual
 | Annual
Spreadsheet: 160528d1339098758-excel-2007-a-formula-calculates-a-cycle-open-and-close-same-day-an-extension-needed-different-day-spiros63_the_case_ron_v3
Sheet: Testing

 | =IF($C7="";""; IF(COUNT($H7:$J7); SUMIF($C$6:$C7;$C7;$F$6:$F7)*IF(INDEX($D$6:$D7;MATCH($C7;$C$6:$C7;0))="ã";1;-1)*($H7 -SUMIF($C$6:$C7;$C7;$G$6:$G7))-$J7;""))
 | =IF($C7="";""; IF(COUNT($G7:$H7); SUMIF($C$6:$C7;$C7;$E$6:$E7)*IF(INDEX($D$6:$D7;MATCH($C7;$C$6:$C7;0))="ã";1;-1)*(SUMIF($C$6:$C7;$C7;$G$6:$G7) -SUMIF($C$6:$C7;$C7;$F$6:$F7))-SUMIF($C$6:$C7;$C7;$H$6:$H7);""))
 | 2012-05-01 00:00:00
 | Date | Ascending Numbering | Trade  Direction | Entry                               Type | Amount                                                      € | Open                                        At | Close                                   At | Exit                                  Type | Expenses                                € | P/L                                                  €
 |  | 1 | ã | Wave Entry | 100000 | 1.31 | 1.25 | Stop Loss | 100
 |  | 2 | ä | Trend Reversal Entry | 100000 | 1.31 | 1.25 | Take Profit Level | 100
 |  | 3 | ä | Breakout Entry | 100003 | 1.31 | 1.25 | Take Profit Level | 100
 |  | 4 | ä | Wave Entry | 100000 | 1.31 | 1.25 | Take Profit Level | 100
 |  | 5 | ã | Breakout Entry | 100000 | 1.31 | 1.25 | Stop Loss | 100
 |  | 6 | ä | Trend Reversal Entry | 100001 | 1.31
 |  | 6 |  |  |  |  | 1.25 | Stop Loss | 100
 |  | 7 | ä | Wave Entry | 100000 | 1.31
 |  | 7 |  |  |  |  | 1.25 | Take Profit Level 1 | 50
 |  | 7 |  |  |  |  | 1.25 | Take Profit Level 2 | 50
Spreadsheet: 743090d1628200066-multiple-data-for-stock-portfolio-x12
Sheet: 5D AVG

SECTOR | 29-Jul | 02-Aug | Remarks
Textile | 1.545447683585494
Food & Allied | 1.298231645028406
Miscellaneous | 1.251727299301108
Engineering | 1.197181598656028
Paper & Printing | 1.153067767402717
Telecommunication | 1.127549259667056
Pharmaceuticals & Chemicals | 1.126011557674782
Insurance | 1.059752221448049
Jute | 1.045130641330166
Travel & Leisure | 0.9992386752950133
Mutual Funds | 0.9651939015076514
IT Sector | 0.9438600602320757
Tannery Industries | 0.8780759109037142
Ceramics Sector | 0.8667733639958666
Financial Institutions | 0.8464497765916293
Bank | 0.8423588183048079
Fuel & Power | 0.7908789989285169
Services & Real Estate | 0.7124646363787652
Cement | 0.6217646417011164
Spreadsheet: 2bc6be88-e115-4596-8e46-3070e5c1cffa
Sheet: Sheet1

Test Referenced | Entry Type | Mayo ID | Description | Reporting Description | Method | Collection Container | Temperature | Stability | [NAME] | Unit of Measure | [NAME] | Minimum Volume | Reject Due To | Reference Values | Days/Times Performed | Analytic Time | Maximum Lab Time | CPT Units | CPT Code | LOINC® Code | LOINC® Attributes | Always Performed | Orderable Separately | Performing Location
DHVD | Test | DHVD | 1,25-Dihydroxyvitamin D, Serum | 1,25-Dihydroxyvitamin D, S | Extraction/Liquid Chromatography-Tandem Mass Spectrometry (LC-MS/MS) | Plain, Red-Top Tube: Red OR |  |  | 2.2 | mL | Container/Tube:  Preferred: Red top Acceptable: Serum gel [NAME]: At least 1.5 mL Collection Instructions: Fasting (4-hour preferred but not required) Forms: If not ordering electronically, submit a General Request Form (Supply T239) with the specimen. | 0.7 mL | Hemolysis	Mild OK; Gross reject Thawing	Warm OK; Cold OK Lipemia	Mild OK; [NAME] OK Icterus	Mild OK; [NAME] OK Other	NA | Males <16 years: 24-86 pg/mL > or =16 years: 18-64 pg/mL Females <16 years: 24-86 pg/mL > or =16 years: 18-78 pg/mL | Monday through Friday; 3 p.m. | 2 days | 4 days | 1 | 82652 |  |  |  |  | Rochester
DHVD | [NAME] | SERUM | Serum |  |  |  | Refrigerated | 7 days
DHVD | Result | 8822 | 1,25-Dihydroxyvitamin D, S | 1,25-Dihydroxyvitamin D, S | Numeric |  |  |  |  | pg/mL |  |  |  |  |  |  |  |  |  | In Process
Spreadsheet: 818903d1677114051-find-the-last-3-numbers-per-row-23-feb-data
Sheet: Sheet1

1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |  | 1 | 2 | 3
27 | 31 | 21 | 14 | 3
27 | 31 | 21 | 14 | 3 | 8
31 | 21 | 14 | 3 | 8 | 34
31 | 21 | 14 | 3 | 8 | 34 | 6
21 | 14 | 3 | 8 | 34 | 6
21 | 14 | 3 | 8 | 34 | 6 | 7
14 | 3 | 8 | 34 | 6 | 7 | 9 | 2
3 | 8 | 34 | 6 | 7 | 9 | 2
8 | 34 | 6 | 7 | 9 | 2 | 32 | 22 | 13
34 | 6 | 7 | 9 | 2 | 32 | 22 | 13
6 | 7 | 9 | 2 | 32 | 22 | 13 | 19
Spreadsheet: 110978d1307512757-find-word-s-within-text-string-that-matches-a-list-of-keywords-wordcheck
Sheet: Sheet1

He gave people by that morning, O Deep Thought is it? | morning | <= example of desired result
I from the tunnel.
She was about it
tiny flat switches and told devices which seemed that out
fresh; beat up with six peppercorns,
quantities of pineapple. Pour on it. _[NAME]_ It is the
oven for a beaten before, so as well melted butter on each s
suddenly gasped in the man next was taken to see was a gas.
in the full of the
wanted that we picked beneath cabinet stuck in a curious
of milk and salt. After
say... [NAME]? - except... no! Wait little punched before
nd salt, two hours for English tastes, the oven for ten minutes,
STUFFED WITH MADEIRA SAUCE Even
leather: the conditions are coming out.
The missiles again. It
easy being obstructively cynical and whimpered.
Trillian was likely to his intention to generation
At Many ever existed. The couple We hitched a rabbit trying ago the detail.
whence ultimate in the greatest computer bank was in course
standing and lie in the Under ship did. - something wrong?
long time made one being not to acquire style of Thursdays.
artificial night of the was at where [NAME] that I parts of
he was hung hatchway opened [NAME],
called one words Vogon guard stepped forward to an electronic look.
opened their terminus here, guy,
at me: I know that,
a bird's foot? It often neglected as you follow a little chopped
said [NAME],
express route through Ford's spell sigh. few biros,
very little treaties on Easter Island in the door.
he felt the always [NAME] a quietly in my...
say five or any cold meat.
FOR FRIDAY Make this mixture in an equal q
[NAME] much liked by using the moment of semolina, and serve it, a
dusted with coarse salt and soaked to cool, and place meat
you put it is not forgetting
Ford stared fixedly of the sort of one ever suspected this.
What do this. Ford tapped impatiently at a thought.
It every time nobody said Ford, with a what he spluttered.
direct homing course said that, foregone conclusion of
beat up a very good mayonnaise sauce, seasoned
un but most independent observers)
make it for of a free standing hunched in the ship's
When you're likely to something! - OK, OK... - Is green, yes.
Well, - but your fish, said the system.
said [NAME], - Was it?
Er, no... - No, but the whale's impact mind his hand and falling.
also a handful of grated nutmeg; let it in,
brilliant a strange the sea was that he said.
It shouting for ten billion and hopeless and under many structures that happened to
The Encyclopaedia  I am. Another thing going mad.
the tongue will when I refuse to behave isn't
He basking been able satisfactorily should
He frowned.
the computer banks. At that anything failed to the second man waved at it.
cut it boils take some gentlemen coming to the yolk of mint,
four or six eggs and water. Slice some kind, and
It could say.
hell them, when it enough water once or five
The way of
That night, as "Your Plastic Pal
lumps of loaf sugar
your star map on to say that?
[NAME], - I here? -
Yeah? - to the fabric of the direction
Spreadsheet: 704868d1605789338-based-on-condition-track-id-values-to-be-return-in-column-c-book1
Sheet: Sheet1

Track ID | Total | Allowable value | Actual value |  |  | Track ID | Rate
 | Qty |  |  |  |  | 321563
321563 | 28 |  | 1256 |  |  | 215632
215632 | 50 | 213 | 213 |  |  | 236521 | 12
236521 | 200 | 2400 | 154 |  |  | 695856 | 65
215632 | 142.5 | 5642 | 5642
695856 | 7.5 | 487.5 | 215
215632 | 25 | 2365 | 2365
321563 | 32 | 15263 | 15263
321563 | 20.484 | 25416 | 25416
 | expected Answer
Track ID | Total | Allowable value | Actual value
 | Qty
321563 | 28 |  | 1256
215632 | 50 |  | 213
236521 | 200 |  | 154
215632 | 142.5 |  | 5642
695856 | 7.5 |  | 215
215632 | 25 |  | 2365
321563 | 32 |  | 15263
321563 | 20.484 |  | 25416
Spreadsheet: 726604d1617311967-index-indirect-match-function-issue-indirect-invoice-total
Sheet: 98787-299467989

Client ID | Client Name | Account | Name | Group Name | Invoice No | Description Total | Charge Type | Random | Random | Random | Random | Random | Random | Random | Random | Random | CCY | Invoice Charge
46547 | Example |  |  |  | 299467989 | SK SubTotal |  |  |  |  |  |  |  |  |  |  | USD | 78543
Spreadsheet: 90718d1290482434-chart-and-statistics-histograms
Sheet: Sheet1

 | Raw Data |  | Data Count |  |  | Bin | Count
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Min
 |  |  | Bins |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | [NAME]
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | -6
 |  |  | Min
 |  |  | [NAME]
 |  |  | Range
 |  |  | [NAME]
 |  |  | Stdev
 |  |  | Average
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | This uses Standard Deviation Steps to create the plot
 |  |  |  |  |  |  |  |  | This table uses equal bins in relation to data size
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | This table uses Equal Divisions
Spreadsheet: 176241d1345785229-random-team-generator-formula-needed-team-generator1
Sheet: Sheet1

# | Names | Team |  | Teams
1 | [NAME] | Team B |  | Team A
2 | [NAME] | Team A |  | Team B
3 | [NAME] | Team C |  | Team C |  |  | 1.
4 | [NAME] | Team A |  | Team D
5 | [NAME] | Team B
6 | [NAME] | Team D
7 | [NAME] | Team D
8 | [NAME] | Team D
9 | [NAME] | Team D
10 | [NAME] | Team B
11 | [NAME] | Team B
12 | [NAME] | Team B
13 | [NAME] | Team D
14 | [NAME] | Team A
15 | U. Martin | Team A
16 | [NAME] | Team A
17 | [NAME] | Team C
18 | [NAME] | Team C
19 | [NAME] | Team C
20 | E. Rodriguez | Team C
 | Press F9 to refresh
Spreadsheet: 701360d1603723003-link-cell-data-to-venn-diagram-venn-1
Sheet: Sheet1

A | B | C | AB | AC | BC | ABC
Spreadsheet: 53750d1253661420-if-function-true-not-recognizing-numbers-grouped-charge-codes
Sheet: Sheet1

Charge Code | Sub Department | Item Code
403171267 | 4031 | 071267
403671267 | 4036 | 071267
403171260 | 4031 | 071260
403671260 | 4036 | 071260
403171266 | 4031 | 071266
403671266 | 4036 | 071266
403171278 | 4031 | 071278
403671278 | 4036 | 071278
Spreadsheet: 00c29aa8-b6b9-44e2-ab5f-e4d0f8f3238f
Sheet: Delhi

Place | Address | Contact Person / NO | Mutt | Other Places near by
[NAME] | [NAME] ( regd ), | Temple no : 011-26109648 | [NAME] | ( also visit : WWW:MADHWASANGHADEL HI.ORG or alternately mail to MADHWASANGHADELHI@ [NAME] )
NEW DELHI | ( [NAME] ) , A --2, 117 | Narayanachar ( archakaru ) : [PHONE] |  | pranesh  : [PHONE] ( self ; mail id : pranesh@ndtv. com )
 | [NAME], | Venkatesh : [PHONE]
 | New Delhi : 110029. | [NAME] ( for transport arrangements ) [PHONE]
 |  | sri narayana kulkarni ( secy )  : [PHONE]
 |  | [NAME] 9648 (Pranesh)
[NAME] | [NAME], Sector 12 | Phone 011 - 2917 2892. | [NAME]
NEW DELHI | Ram [NAME], R K Puram |  | ( [NAME] branch )
 | DELHI - 110022
[NAME], | [NAME], | Deviprasad- 098714 98217 | [NAME] mutt
NEW DELHI | [NAME] Shikshana Seva Samithi | Phone 011 - 5593 6632.
 | Flat No. 13,  Phase II, Constrained Area, | Sudhindra Hatwar- 099681 54731
 | Near sector C- 5,Vasant Kunj,
 | New Delhi 110 007.
 | (Land mark: Hotel Grand )
Spreadsheet: 113236d1309195443-excel-2007-should-i-be-using-an-hlookup-popuating-cells-using-row-1
Sheet: Sheet2

Tempe | Portland | Salt Lake City | San Diego | Seattle | Spokane
85281 | 97062 | 84101 | 92123 | 98032 | 99216 | Min Miles
1702.300048828125 | 2560.5 | 1825.699951171875 | 1998.5 | 2638.39990234375 | 2353.199951171875
0 | 1330.599975585938 | 671.9000244140625 | 361.3999938964844 | 1507.300048828125 | 1376.800048828125
380.1000061035156 | 956.9000244140625 | 687.2000122070312 | 109 | 1133.699951171875 | 1219.199951171875
362.5 | 1065.400024414062 | 748.7999877929688 | 0 | 1242.199951171875 | 1453.699951171875
603.0999755859375 | 733.7999877929688 | 812.2999877929688 | 338.2999877929688 | 910.5 | 996.0999755859375
742.4000244140625 | 633.7999877929688 | 746.2999877929688 | 477.5 | 810.5 | 896.0999755859375
711.7000122070312 | 627.7999877929688 | 706.2999877929688 | 446.8999938964844 | 804.5 | 890.0999755859375
923.0999755859375 | 1265.199951171875 | 530.4000244140625 | 1079 | 1322.300048828125 | 1075.699951171875
Spreadsheet: 50192d1249571395-lists-and-drop-down-menus-resident-options-worksheet-2
Sheet: Option Comparison

RESIDENCY OPTIONS WORKSHEET |  |  |  |  |  |  |  |  | 2009-08-06 11:09:34
Campus |  | TCV
Housing Type |  | SA
Unit # |  | 111
Entrance Fee |  | 74500
 |  |  | OPTIONS
 |  |  | RENTAL |  | 80% REFUND |  | 50% REFUND |  | NO REFUND
Initial Fees to Occupy Unit |  |  | 0 |  | 74500 |  | 74500 |  | 74500
Monthly Rental or Service Fee |  |  | 515 |  | 452 |  | 367 |  | 226
Minimum Refund upon Vacating |  |  | 0 |  | 59600 |  | 37250 |  | 0
Months until minimum refund is reached |  |  | NA |  | 7 |  | 20 |  | 39
Monthly Amortization for ave life of 8.87 years |  |  |  |  | 139.9849680571214 |  | 349.9624201428035 |  | 699.9248402856069
Monthly Cost of Borrowing Entrance Fee |  |  |  |  | 356.9791666666667 |  | 356.9791666666667 |  | 356.9791666666667
 |  |  |  |  | 496.9641347237881 | 0 | 706.9415868094702 | 0 | 1056.904006952274
Spreadsheet: vkaminski__40781__book summary
Sheet: book structure

LNG Price Book
When | Buy/Sell | Curve | Volume | Fixed | Curve | Mtm | Description
Day 2 | Buy | FOB | 1000000 | 1 | 1 |  | Purchase of LNG
Day 1 | Sell | FOB | -1000000 | 1 | 1 |  | Transfer of volume to CIF curve
Day 1 | Buy | [NAME] | 1000000 | 1 | 4 |  | Purchase of volume into the cif curve
Day 1 | Sell | [NAME] |  | 0 | 4 |  | Boil Off
Day 1 | Sell | [NAME] | -877500 | 4 | 4 |  | Sale of Gas to the Gas Desk
Day 1 | Sell | [NAME] |  | 0 | 4 |  | Terminal Fuel and Ship Injection
Day 1 | Buy | H.Galleon | -1000000 | 0 | 0 |  | Estimate
Day 2 | Buy | H.Galleon | 1000000 | 2 | 0 |  | Hedge of Freight Cost
LNG Freight Book
When | Buy/Sell | Curve | Volume | Fixed | Curve | Mtm | Description
Day 1 | Sell | [NAME] | -1000000 | 2 | 0 |  | Hedge of Freight Cost
Day 2 | Buy | [NAME] | 2000000 | 2 | 0 |  | Original Freight Estimate
Spreadsheet: c302b871-6cdf-41b1-8f3a-aade10aed9f0
Sheet: FACULTY INFORMATION FORM

Please use capital letters & no punctuation | EXAMPLE | class 1 info | class 2 info | class 3 info | class 4 info | class 5 info | class 6 info
Last Name | LOGAN
First Name | SARAH
MI | M
Printed Course Prefix (e.g. HIST, GEOG) and Number | PSY3303
Printed Date/Time (e.g. MW 08:00 AM, TR 12:30 PM or MWF 18:00 PM) | TR 18:00 PM
Bubbled in Meeting Days (MTWRFSN) NO [NAME] or Spaces | TR
In the Classroom = Face  OR  Online Course = Online | Face
Eight Week Course = Y (yes) or N (no).    If YES… 1 for first eight weeks or 2 for second eight weeks | Y-2
For On-line courses ONLY - Print course title. In addition, please provide a class roster with [NAME] "username@angelo .edu" with your FIF.  Dropped students can be withdrawn later. | Learning  and Cognition
Objectives:  (Scale - M = Minor or No Importance,  I = Important,                              E = Essential) | M, I, E | M, I, E | M, I, E | M, I, E | M, I, E | M, I, E | M, I, E
1.  Gaining factual knowledge (terminology, classifications, methods,       trends) | E
2.  Learning fundamental principles, generalizations, or theories | E
3.  Learning to apply course material (to improve thinking, problem       solving,  and decisions) | E
4.  Developing specific skills, competencies, and points of view needed       by professionals in the field most closely related to this course | I
5.  Acquiring skills in working with others as a member of a team | I
6.  Developing creative capacities (writing, inventing, designing,       performing in art, music, drama, etc.) | M
7.  Gaining a broader understanding and appreciation of       intellectual/cultural activity (music, science, literature, etc.) | M
8.  Developing skill in expressing oneself orally or in writing | M
9.  Learning how to find and use resources for answering questions or       solving problems | M
10.  Developing a clearer understanding of, and commitment to, personal         values | M
11.  Learning to analyze and critically evaluate ideas, arguments,         and points of view | M
12.  Acquiring an interest in learning more by asking questions and         seeking answers | M
[NAME] (e.g. HIST, GEOG) | PSY
Discipline codes:  HIST = 5400      GEOG = 4507          (4 digits) | 4200
[NAME] (e.g. 800, 1230, or 1800) | 800
Bubbled Course Number                                                 (4 digits) | 3303
Enrollment | 23
Local Code for HIST1301 & 1302 = 0500 or Honors = 0501 GEOG 2301 = 0800                                                         (4 digits)
Long (L) or Short (S) Forms | L
Number of Additional Questions to be answered on the Survey  ([NAME]. number of Additional questions that can be asked for Long form = 19 & Short form = 10) | 12
Is this class [NAME]?   Y or N | N