tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 676656d1588918782-to-find-out-company-ranking-issue-rank-model
Sheet: Sheet2

Product | Cost + Duty Wise Company Best | Lowest Price | Company-Origin | Port / Air City | Import Cost | Custom Duty | Forword Cost | Total Duty | Duty Wise Company - Lowest | Rank Price Wise | Rank Total Duty Wise
A | Company-1 |  | USA | New York | 9 | 5 | 2 |  | Company-3 | 1 | 2
 | Company-2 | 105 | USA | California | 9.5 | 5 | 2 |  | Company-3 | 3 | 3
 | Company-3 | 102 | EU | Germany | 9.5 | 4 | 2 |  | Company-3 | 2 | 1
 | Company-4 | 117 | UK | [NAME] | 10 | 5 | 2 |  | Company-3 | 4 | 4
B | Company-1 |  | USA | New York | 10 | 5 | 2 |  | Company-2 | 1 | 3
 | Company-2 | 112 | USA | California | 9.5 | 4 | 2 |  | Company-2 | 2 | 1
 | Company-3 | 115 | EU | Germany | 9 | 5.5 | 2 |  | Company-2 | 3 | 2
 | Company-4 | 112 | UK | [NAME] | 10 | 4.5 | 2 |  | Company-2 | 2 | 2
C | Company-1 | 110 | USA | New York | 10 | 4.8 | 2 |  | Company-4 | 2 | 2
 | Company-2 | 100 | USA | California | 11 | 4.5 | 2 |  | Company-4 | 1 | 3
 | Company-3 | 113 | EU | Germany | 10.5 | 5 | 2 |  | Company-4 | 3 | 3
 | Company-4 | 115 | UK | [NAME] | 9 | 5.5 | 2 |  | Company-4 | 4 | 1
D | Company-1 | 100 | USA | New York | 9.5 | 4.5 | 2
 | Company-2 | 98 | USA | California | 9 | 5 | 2
 | Company-3 | 104 | EU | Germany | 9.5 | 5 | 2
 | Company-4 | 95 | UK | [NAME] | 10 | 4.5 | 2
F | Company-1 | 100 | USA | New York | 10 | 5 | 2
 | Company-2 | 103 | USA | California | 11 | 5.5 | 2
 | Company-3 | 97 | EU | Germany | 11.5 | 5 | 2
 | Company-4 | 97 | UK | [NAME] | 10 | 4.8 | 2
Spreadsheet: 173452d1344555804-help-calculating-results-of-last-10-games-and-win-loss-tie-streak-in-standings-workbook-2003-04-nhl-season
Sheet: Playoffs (Conference)

 |  | First Round |  |  |  |  | Quarter-finals |  |  |  |  | Semi-finals |  |  |  |  | Stanley Cup Finals
 | 1
 | 8
 |  |  |  |  |  |  |  |  |  |  |  | Eastern Conference
 | 4
 | 5
 | 3
 | 6
 | 2
 | 7
 | 1
 | 8
 | 4
 | 5
 | 3
 | 6
 |  |  |  |  |  |  |  |  |  |  |  | Western Conference
 | 2
 | 7
Spreadsheet: 776805d1649924342-replace-for-indirect-function-in-formula-when-table-is-deleted-book1
Sheet: Sheet1

Column1 | Column2 | Target | Column4
Q |  | 1
W |  | 2
E |  | 3
R |  | 4
T |  | 5
Y |  | 6
U |  | 7
I |  | 8
O |  | 9
P |  | 10
 |  |  |  |  |  |  |  |  | e
Spreadsheet: b37ed14c-c02d-47fa-8759-b606aa2bf5c4
Sheet: Sheet1

PROG ID | ATHLETE ID | ATHLETE FIRST | ATHLETE LAST | NATIONALITY | START NUMBER | RUN | T1 | BIKE | T2 | SKI | POSITION | TOTAL TIME
8770 | 26708 | Maud | Martin | FRA | 121 | 00:20:05 | 00:00:27 | [NAME] | 00:01:02 | 00:18:29 | 1 | 01:07:53
8770 | 69454 | Ilaria Marta Elena | Sambo | ITA | 120 | 00:23:23 | [NAME] | 00:35:15 | 00:02:08 | 00:25:15 | 2 | 01:27:31
Spreadsheet: 0166ac0d-8b34-4b9c-9662-81ecb78ab50e
Sheet: Sheet1

 | SCHOOL-BASED SERVICES
 | PERSONAL CARE SERVICES (PCS) ASSESSMENT ALLOCATION TOOL
 | Ages 10+
 | Name: |  |  |  |  | MID #:
 | Date of Birth: |  |  |  |  | Age:
 | Instructions:
 | 1) Enter the number response for each question in the "Assessment Score" column. The total score will automatically calculate in the "Allocation Score" column.
 | 2) Use the "Allocation Grid" to determine the number of hours based on the total points scored.
 | Weighted Score: The assessment score is weighted by 1.5 for questions 1 - 6 and 8-11.
 | STEP 1:
 |  |  | Question # | Assessment Score | Weighted Score | Allocation Score
 | Grooming |  | 1
 | Dressing upper body |  | 2
 | Dressing lower body |  | 3
 | Toileting |  | 4
 | Continence-bladder |  | 5
 | Continence-bowel |  | 6
 | Adaptive Devices |  | 7 |  | n/a
 | Transferring |  | 8
 | Mobility/Ambulation |  | 9
 | Eating/Feeding |  | 10
 | Medication Assist |  | 11
 | Total Points
 | STEP 2:
 | Allocation Grid
 | Points | Hours
 | 0-3 | 0 hrs/wk
 | 4-9 | 5 hrs/wk
 | 10-15 | 10 hrs/wk
 | 16-20 | 15 hrs/wk
 | 21-30 | 20 hrs/wk |  | Points
 | 31-40 | 25 hrs/wk
 | 41-50 | 30 hrs/wk |  | Hours |  | HRS/WK
 | 51+ | 35 hrs/wk
 | RN Signature:
 | Date:
Spreadsheet: 025acb2f-e83c-4c56-a5d2-11a5048d1ef7
Sheet: IndepStudyClassifications

 | Independent Study Classifications K-12
 | 1. These classifications must be used to report IndStudyStudentRecords on the Student Course Record.
 | 2. These classifications may be used to report ScheduledStudentRecords on the Student Course Record.
MCCC Number | MCCC Classification title
1997 | English Language and Literature--Independent Study 9-12
2997 | Mathematics--Independent Study 9-12
3997 | Life and Physical Science--Independent Study 9-12
4997 | Social Sciences and History--Independent Study 9-12
5048 | Dance--Independent Study 9-12
5098 | Theater--Independent Study 9-12
5148 | Music--Independent Study 9-12
5198 | Visual Arts--Independent Study 9-12
6997 | World Language and Literature--Independent Study 9-12
7997 | Religious Education and Theology--Independent Study 9-12
8048 | Physical Education--Independent Study 9-12
8098 | Health Education--Independent Study 9-12
9997 | Military Science--Independent Study 9-12
10997 | Computer and Information Sciences--Independent Study 9-12
11997 | Communication and Audio/Video Technology--Independent Study 9-12
12997 | Business and Marketing--Independent Study 9-12
13997 | Manufacturing--Independent Study 9-12
14997 | Health Care Sciences--Independent Study 9-12
15997 | Public, Protective and Government Service--Independent Study 9-12
16997 | Hospitality and Tourism--Independent Study 9-12
17997 | Architecture and Construction--Independent Study 9-12
18997 | Agriculture, Food and Natural Resources--Independent Study 9-12
19997 | Human Services--Independent Study 9-12
20997 | Transportation, Distribution and Logistics--Independent Study 9-12
21997 | Egineering and Technology--Independent Study 9-12
22996 | Family and Consumer Science--Independent Study 9-12
23397 | Independent Study--Support Services 9-12
23481 | ESL--Independent Study 9-12
23997 | Nonspecific Subject Areas--Independent Study 9-12
51097 | Literature--Independent Study K-8
51147 | Composition/Writing--Independent Study K-8
51197 | Speech/Communications--Independent Study K-8
51997 | English Language and Literature--Independent Study K-8
52047 | Comprehensive Math--Independent Study K-8
52997 | Mathematics--Independent Study K-8
73003 | Independent Study--Nonspecific Subject Area K-8
73331 | Independent Study--Support Services K-8
73497 | ESL--Independent Study K-8
Spreadsheet: 719901d1613900569-data-consolidation-audit_annexure-ans
Sheet: Data_Consolidation

 |  |  |  | Data Consolidation
 |  |  | BookNo | Samarth | Prabodhan | [NAME] | Unnat | Versonva | [NAME] | Azad | Gavdevi | Total
 |  |  | 83751
 |  |  | 97001
 |  |  | 102751
 |  |  | 134251
Spreadsheet: 780400d1652435649-formula-that-provides-a-daily-amount-settlement-delay-according-to-options-in-the-drop-d-progression-aligw
Sheet: Sheet1

 |  |  | Yearly Processing Amount € | 100000
 |  |  |  | Amount €
 |  | Settlement day | T5 |  |  |  |  |  |  |  |  | T1
 |  |  |  |  |  |  |  |  |  |  |  | T2
 |  |  |  |  |  |  |  |  |  |  |  | T3
 |  |  |  |  |  |  |  |  |  |  |  | T4
 |  |  |  |  |  |  |  |  |  |  |  | T5
 | 1 | I need a formula that show the settlement delay amount according to the different T selections. |  |  |  |  |  |  |  |  |  | T6
 | 2 | Such delay amount is calculate daily and varies according to T variance. |  |  |  |  |  |  |  |  |  | T7
 | 3 | Each T is followed by a number meaning the settlement delay days and the relating amount |  |  |  |  |  |  |  |  |  | T8
 |  | e.g. T5 should give 1,369.86 |  |  |  |  |  |  |  |  |  | T9
 |  |  |  |  |  |  |  |  |  |  |  | T10
Spreadsheet: 730390d1619686598-normalize-rows-to-highest-value-mappe1
Sheet: Tabelle1

 |  |  |  |  |  |  |  | MAX
Sample 1 | 3.25 | 5.9 | 28 | 10.5 | 1.29 | 119 | 0.975
Sample 2 | 0.375 | 0.699 | 8.12 | 11.1 | 2.75 | 83.9 | 1.43
Sample 3 | 0.629 | 0.664 | 5.15 | 5.08 | 0.986 | 57.6 | 1.25
Sample 4 | 0.753 | 1.33 | 36.1 | 23.7 | 3.03 | 139 | 2.54
Sample 5 | 0.832 | 0.626 | 6.65 | 9.48 | 1.74 | 112 | 4.61
Sample 6 | 1.54 | 0.962 | 21 | 9.31 | 0.806 | 106 | 1.75
Sample 7 | 0.685 | 0.664 | 21.5 | 8.99 | 1.5 | 86.6 | 0.983
Sample 8 | 1.64 | 1.18 | 6.84 | 9.82 | 3.39 | 86.1 | 5.75
Sample 9 | 0.998 | 1.11 | 2.3 | 3.75 | 2.02 | 75.8 | 2.91
Sample 10 | 12.63 | 10.19 | 3.22 | 15.8 | 1.64 | 102 | 2.45
Spreadsheet: 94420d1294244717-value-error-from-a-countifs-formula-vessel-report-on-the-hour-iii
Sheet: Report

 |  |  |  |  |  | [NAME] | 15
 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19
MO3
MO4
MO5
MO6
MO7
S6
Q1
Q2
 |  |  |  |  |  | [NAME] | 16
 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19
MO3
MO4
MO5
MO6
MO7
S6
Q1
Q2
 |  |  |  |  |  | [NAME] | 17
 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19
MO3
MO4
MO5
MO6
MO7
S6
Q1
Q2
 |  |  |  |  |  |  |  |  |  |  |  | COUNTIFS('Query from EXPRESS'!$H$2:$H$2000,E23,'Query from EXPRESS'!$E$2:$E$1472,$A$24,'Query from EXPRESS'!$I$2:$I$2000,$H$21
 |  |  |  |  |  | [NAME] | 18
 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19
MO3
MO4
MO5
MO6
MO7
S6
Q1
Q2
Spreadsheet: 35e4efb9-7e1d-489c-9388-bcda9b5031ae
Sheet: Novice

Novice
WEEK | MON | TUE | WED | THU | FRI | SAT | SUN
1 | Rest or run/walk | 1.5 m run | Rest or run/walk | 1.5 m run | Rest | 1.5 m run | 30-60 min walk
2 | Rest or run/walk | 1.75 m run | Rest or run/walk | 1.5 m run | Rest | 1.75 m run | 35-60 min walk
3 | Rest or run/walk | 2 m run | Rest or run/walk | 1.5 m run | Rest | 2 m run | 40-60 min walk
4 | Rest or run/walk | 2.25 m run | Rest or run/walk | 1.5 m run | Rest | 2.25 m run | 45-60 min walk
5 | Rest or run/walk | 2.5 m run | Rest or run/walk | 2 m run | Rest | 2.5 m run | 50-60 min walk
6 | Rest or run/walk | 2.75 m run | Rest or run/walk | 2 m run | Rest | 2.75 m run | 55-60 min walk
7 | Rest or run/walk | 3 m run | Rest or run/walk | 2 m run | Rest | 3 m run | 60 min walk
8 | Rest or run/walk | 3 m run | Rest or run/walk | 2 m run | Rest | Rest | 5-K Race
Spreadsheet: 888163d1738607204-how-complete-cells-depeding-another-ex3
Sheet: Folha2

 |  |  |  |  |  | B |  |  | =IF(INDEX(Folha1!B:B,MATCH($G$8,Folha1!A:A,0)):INDEX(Folha1!C:C,MATCH($G$8,Folha1!A:A,0)+16)=0,"",INDEX(Folha1!B:B,MATCH($G$8,Folha1!A:A,0)):INDEX(Folha1!C:C,MATCH($G$8,Folha1!A:A,0)+16))
 |  |  |  |  |  |  |  |  | =se(ÍNDICE(Folha1!B:B;CORRESP($G$8,Folha1!A:A,0)):ÍNDICE(Folha1!C:C;CORRESP($G$8,Folha1!A:A,0)+16)=0;"";ÍNDICE(Folha1!B:B;CORRESP($G$8,Folha1!A:[NAME]:C;CORRESP($G$8,Folha1!A:A,0)+16))
 |  |  |  |  |  |  |  |  |  | B:B | COLUNA DAS DATAS
 |  |  |  |  |  |  |  |  |  | A:A | COLUNA DAS FR
 |  |  |  |  |  |  |  |  |  | C:C | COLUNA DOS VALORES PAGOS
Spreadsheet: 193698d1352918165-if-1-column-date-range-take-next-cell-value-and-sum-in-a-3rd-cell-on-2nd-page-nam-loans
Sheet: Bar Graphs

 | November Points | November Bonus |  |  |  |  |  |  |  |  | Total 2012 Bonus
 | December Points | December Bonus
 |  |  |  |  |  |  |  |  |  |  | Total 2013 Bonus
 | January Points | January Bonus
 | February Points | February Bonus
 | March Points | March Bonus
 | April Points | April Bonus
 | May Points | May Bonus
 | June Points | June Bonus
 | July Points | July Bonus
 | August Points | August Bonus
 | September Points | September Bonus
 | October Points | October Bonus
 | November Points | November Bonus
 | December Points | December Bonus
Spreadsheet: 158466d1338270011-columnwise-matching-of-data-reagreegation
Sheet: OUTPUT

BSC | NEVER USED DEVICES |  | CONTINUOUSLY BUSY DEVICES |  | SUSPECTED FAULTY DEVICES
 | DEV | STATE | DEV | STATE | DEV | STATE
AIZRBSC | NONE | NONE | NONE | NONE | RBLT2-789 | IDLE
 |  |  |  |  | RBLT2-790 | BUSY
 |  |  |  |  | RBLT2-791 | IDLE
 |  |  |  |  | RBLT2-792 | IDLE
 |  |  |  |  | RBLT2-793 | IDLE
 |  |  |  |  | RBLT2-794 | IDLE
 |  |  |  |  | RBLT2-795 | IDLE
 |  |  |  |  | RBLT2-796 | IDLE
 |  |  |  |  | RBLT2-797 | IDLE
 |  |  |  |  | RBLT2-798 | IDLE
 |  |  |  |  | RBLT2-799 | IDLE
AGTBSC1 | RTLTB2-263 | IDLE | NONE | NONE | NONE | NONE
 | RTLTB2-264 | IDLE
AZWBSC1 | NONE | NONE | NONE | NONE | RBLT2-14153 | BLOC
 |  |  |  |  | RBLT2-14166 | BLOC
DMRBSC2 | NONE | NONE | NONE | NONE | RBLT2-1731 | SEBU
 |  |  |  |  | RBLT2-3149 | IDLE
 |  |  |  |  | RBLT2-3401 | IDLE
 |  |  |  |  | RBLT2-4203 | BLOC
 |  |  |  |  | RBLT2-4829 | IDLE
Spreadsheet: 60200d1260771757-how-to-remove-formula-from-creating-duplicate-values-2010
Sheet: March

 |  | Monday |  | Tuesday |  | Wednesday |  | Thursday |  | Friday |  | Saturday |  | Monday |  | Tuesday |  | Wednesday |  | Thursday |  | Friday |  | Saturday |  | Monday |  | Tuesday |  | Wednesday |  | Thursday |  | Friday |  | Saturday |  | Monday |  | Tuesday |  | Wednesday |  | Thursday |  | Friday |  | Saturday |  | Monday |  | Tuesday |  | Wednesday
 |  | 2010-03-01 00:00:00 |  | 2010-03-02 00:00:00 |  | 2010-03-03 00:00:00 |  | 2010-03-04 00:00:00 |  | 2010-03-05 00:00:00 |  | 2010-03-06 00:00:00 |  | 2010-03-08 00:00:00 |  | 2010-03-09 00:00:00 |  | 2010-03-10 00:00:00 |  | 2010-03-11 00:00:00 |  | 2010-03-12 00:00:00 |  | 2010-03-13 00:00:00 |  | 2010-03-15 00:00:00 |  | 2010-03-16 00:00:00 |  | 2010-03-17 00:00:00 |  | 2010-03-18 00:00:00 |  | 2010-03-19 00:00:00 |  | 2010-03-20 00:00:00 |  | 2010-03-22 00:00:00 |  | 2010-03-23 00:00:00 |  | 2010-03-24 00:00:00 |  | 2010-03-25 00:00:00 |  | 2010-03-26 00:00:00 |  | 2010-03-27 00:00:00 |  | 2010-03-29 00:00:00 |  | 2010-03-30 00:00:00 |  | 2010-03-31 00:00:00
Consultant Name | Team Leader | Sales | Approved | Sales | Approved | Sales | Approved | Sales | Approved | Sales | Approved | Sales | Approved | Sales | Approved | Sales | Approved | Sales | Approved | Sales | Approved | Sales | Approved | Sales | Approved | Sales | Approved | Sales | Approved | Sales | Approved | Sales | Approved | Sales | Approved | Sales | Approved | Sales | Approved | Sales | Approved | Sales | Approved | Sales | Approved | Sales | Approved | Sales | Approved | Sales | Approved | Sales | Approved | Sales | Approved
Mpho | [NAME]
[NAME] | [NAME]
Glodean ([NAME]) | [NAME]
[NAME] | [NAME]
Lehlohonolo | [NAME]
Matshidiso | [NAME]
Rachel | [NAME]
Naledi G | [NAME]
Innocentia | [NAME]
Glyndine | [NAME]
Vacant | [NAME]
Vacant | [NAME]
Vacant | [NAME]
Total |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
Consultant | Leads | Total Sales | Monthly Target | [NAME] | Total Approved | QA Monthly Score | QA Rating
Mpho |  | 0 |  | 0 | 0 |  | -
[NAME] |  | 0 |  | 0 | 0 |  | -
Glodean ([NAME]) |  | 0 |  | 0 | 0 |  | -
[NAME] |  | 0 |  | 0 | 0 |  | -
Lehlohonolo |  | 0 |  | 0 | 0 |  | -
Matshidiso |  | 0 |  | 0 | 0 |  | -
Rachel |  | 0 |  | 0 | 0 |  | -
Naledi G |  | 0 |  | 0 | 0 |  | -
Innocentia |  | 0 |  | 0 | 0 |  | -
Glyndine |  | 0 |  | 0 | 0 |  | -
Vacant |  | 0 |  | 0 | 0 |  | -
Vacant |  | 0 |  | 0 | 0 |  | -
Vacant |  | 0 |  | 0 | 0 |  | -
Total | 0 | 0 | 0 | 0 | 0 | #N/A | #N/A
 |  | 0 | 0.8499 | D
 |  | 0.85 | 0.9 | C
 |  | 0.91 | 0.9499 | B
 |  | 0.95 | 1 | A
Spreadsheet: 864174d1711460601-list-of-customers-with-products-ordered-map1
Sheet: customer list

week | 15
customer | bike A |  | Bike B
 | big | small | big | small
 | 0 | 2 | 4 | 0
customer c | 0 | 0 | 5 | 0
[NAME] | 0 | 3 | 4 | 0
Spreadsheet: 722771d1615401040-input-cell-value-from-another-sheet-and-have-it-output-another-cells-value-in-other-sheet-master-st-albans-carpentry-and-lofts-work-sheetb
Sheet: Master

Job Number: |  |  |  |  |  |  |  |  | Parts & Sub-Contractor Invoices
Date | Office Notes | Attendance Date | ID | Employee | Description of Works | Hours on Site | Parking Cost | Congestion Charge | Date of Invoice | Supplier/Sub-Contractor Name | Description of Works/Materials | Invoice Number | Parts Cost | Total Cost??
 |  | 2021-03-10 00:00:00 | 1 |  | Installed garden fence | 28 | 12 | 23 | 10 | BNQ | FENCE PANELS |  | 34234
 |  |  | 3
Spreadsheet: 781471d1653358778-count-cell-a-if-cell-a-is-cell-b-bo_test
Sheet: CALCS

 | TIME
 | START | END | TOTAL TIME | ENTRIES | AVE PRICE | TRADED %
 | 08:00:00 | 08:29:00
 | 08:30:00 | 08:59:00
 | 09:00:00 | 09:29:00
 | 09:30:00 | 09:49:00
 | 09:50:00 | 10:29:00
 | 10:30:00 | 11:29:00
 | 11:30:00 | 15:59:00
 | PRICE
 |  |  | ENTRY | ENTRY | ENTRY | POINTS | POINTS
 | LOW | HIGH | SUMIFS | COUNTIFS | AVERAGE | SUMIFS | AVERAGE
 | 0 | 3
 | 3 | 5
 | 5 | 7
 | 7 | 10
 | 10 | 15
 | 15 | 20
 | 20 | 25
 | 25 | 30
 | 30 | 1000
 | COMM, FEES, & TAX
 |  | Gain | Tax
 | Gross
 | Net
 | MTM | N
 | Comm | 3.5
 | Per Share | 0.0007
 | FROM | RATE | CUMLATIVE
 | 0 | 0.1 | 0
 | 19900 | 0.12
 | 81050 | 0.22
 | 172750 | 0.24
 | 329850 | 0.32
 | 418850 | 0.35
 | 628300 | 0.37
Spreadsheet: 163975d1340583660-listing-certain-cells-if-condition-is-meet-forum-question
Sheet: 01

 |  |  |  | TRIPS, INCOME AND EXPENSES REPORT FOR | 2012-06-01 00:00:00
# | ON | OFF | AIR | FROM | TO | AMOUNT | TYPE | TM | M & G | C/C FEE | NET | PAX | PASSENGER'S NAME | NOTES
1 |  |  | 1 | WN 79 | WDW | 40 |  | 0 | 0 | 0 |  |  | [NAME]
2 |  |  | 2 | BW |  | 30 |  | 0 |  |  |  |  | [NAME]
3 |  |  | 1 | AA 1400 | WDW | 50 |  | 0 |  |  |  |  | Lima
4 |  |  |  |  |  |  |  | 0
5 |  |  |  |  |  |  |  | 0
6 |  |  |  |  |  |  |  | 0
7 |  |  |  |  |  |  |  | 0
9 |  |  |  |  |  |  |  | 0
10 |  |  |  |  |  |  |  | 0
11 |  |  |  |  |  |  |  | 0
12 |  |  |  |  |  |  |  | 0
13 |  |  |  |  |  |  |  | 0
EXPENSES |  |  |  |  | TOTALS FOR TODAY |  |  |  |  |  |  |  | TOTAL REVENUE FOR TODAY
 | Fuel |  |  |  | Maintenance |  |  |  |  |  |  |  | TOTAL EXPENSES FOR TODAY
 | Insurance & Amortizations |  |  |  | Repairs
 | Tolls & Parking |  |  |  | Others |  |  |  |  |  |  |  | NET REVENUE FOR TODAY
AIR CODES: |  | ( 1 - FROM OIA) |  | (2- TO OIA) - (3- FROM HYATT OIA) - (4- OTHERS) | TOTAL EXPENSES FOR TODAY |  |  |  |  | Legend: 1(Cash)- 2 (Credit Card)- 3 (Harland)- 4 (Ripley)- 5 (FreshPoint)- 6 (SBMRI C/C)- 7 (SBMRI Invoiced)
Spreadsheet: 791721d1660564879-pay-as-you-earn-calculation-paye-calculator
Sheet: Sheet1

Tax start period | 2021-07-01 00:00:00 | 2021-07-01 00:00:00
Tax end period | 2022-06-30 00:00:00 | 2022-06-30 00:00:00
Gross earnings | 123000 | 345000
Pension fund (Tax Deductible | 1755 | 1755
Taxable pay
Annual Tax rebate (not more than 60 years of ages | 8200 | 8200
Annual Tax rebate (more than 60 years of ages | 10900 | 10900
The rates of Income Tax applicable are as follows:
RATES OF NORMAL TAX FOR INDIVIDUALS
Exceeds | Does not exceed
Taxable Income |  |  |  | Rates |  |  |  |  |  |  |  | 121245 | 343245
 |  |  |  |  |  |  |  |  | Band Start | Rate
0 | 100000 | 0 | 0.2 | E0           +  20% of the excess of E0 00 |  |  |  |  | 0 | 0
100000 | 150000 | 20000 | 0.25 | E20 000 + 25% of the excess of E100 000 |  |  |  |  | 50000
150000 | 200000 | 32500 | 0.3 | E32 500 + 30% of the excess of E150 000 |  |  |  |  | 100000
200000 |  | 47500 | 0.33 | E47 500 + 33% of the excess of E200 000 |  |  |  |  | 150000
 |  |  |  |  |  |  |  |  | 200000
Spreadsheet: 1ef50df9-fd95-4868-9812-e00d22eb4d07
Sheet: 9c

Product1 | 0-34 | 3-6 | 6-12 | 12-24 | 24-60 | 60-120 | 120-360 | 360+ | TOTAL
Fixed-Float | 36984 | 182855 | 53786 | 265601 | 331196 | 270002 | 172142 | 17735 | 1330301
FRA | 5236 | 12446 | 15442 | 4247 | - | - | - | - | 37371
OTHER* | 43370 | 24457 | 40409 | 59884 | 103854 | 64410 | 44078 | 7494 | 387956
TOTAL | 85590 | 219758 | 109637 | 329732 | 435050 | 334412 | 216220 | 25229 | 1755628
*OTHER variable includes the following products: Cap/Floor, Debt Option, Exotic, Fixed-Fixed, Inflation, OIS, Swaption, and Basis.
Spreadsheet: 2538e6d2-731b-483e-8a43-aa132e035f05
Sheet: Sheet1

Table 9--U.S. vegetable oil and fats prices | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8
Marketing | Soybean | Cottonseed | Sunflower | Canola | Peanut | Corn | Lard 6 | Edible
year | oil 2 | oil 3 | oil 4 | oil 4 | oil 5 | oil 6 |  | tallow 6
 |  |  |  | Cents/lb.
2000/01 | 14.15 | 15.98 | 15.88 | 17.56 | 34.97 | 13.54 | 14.61 | 13.43
2001/02 | 16.46 | 17.98 | 23.25 | 23.45 | 32.23 | 19.14 | 13.55 | 13.87
2002/03 | 22.04 | 37.75 | 33.13 | 29.75 | 46.7 | 28.17 | 18.13 | 17.8
2003/04 | 29.97 | 31.21 | 33.42 | 33.76 | 60.84 | 28.43 | 26.13 | 22.37
2004/05 | 23.01 | 28.01 | 43.71 | 30.78 | 53.63 | 27.86 | 21.8 | 18.48
2005/06 | 23.41 | 29.47 | 40.64 | 31 | 44.48 | 25.18 | 21.74 | 18.16
2006/07 | 31.02 | 35.7 | 58.03 | 40.57 | 52.99 | 31.8 | 28.43 | 27.32
2007/08 | 52.03 | 73.56 | 91.15 | 65.64 | 94.53 | 69.4 | 40.85 | 41.68
2008/09 | 32.16 | 37.1 | 50.24 | 39.54 | 78.49 | 32.75 | 26.72 | 25.47
2009/10 | 35.95 | 40.27 | 52.8 | 42.88 | 59.62 | 39.29 | 31.99 | 32.26
2010/11 | 53.2 | 54.5 | 86.12 | 58.68 | 77.24 | 60.76 | 51.52 | 51.34
2011/121 | 50.5-54.5 | 54.5-58.5 | 87.5-91.5 | 57.5-61.5 | 92.5-96.5 | 54.5-58.5 | 46.5-50.5 | 45.5-49.5
2010/11
October | 44.02 | 47.2 | 56 | 51.45 | 71.4 | 47.5 | 46.64 | 37
November | 47.62 | 50.75 | 63 | 53.63 | 75.13 | 51.96 | 37.32 | 41.75
December | 51.51 | 54 | 62.9 | 58.25 | 77.9 | 54.71 | 38.3 | 45
January | 53.84 | 55.92 | 74.125 | 59.5 | 80.06 | 57.91 | 48.5 | 50.1
February | 54.21 | 56.75 | 85.625 | 60.13 | 79.63 | 63.39 | 49.6 | 49.9
March | 54.07 | 55.5 | 96.75 | 60.25 | 77.5 | 67.72 | 52 | 51.75
April | 56.65 | 57.7 | 101.2 | 62.05 | 78.7 | 68.89 | 51.5 | 52.83
May | 56.09 | 56.06 | 103.75 | 60.19 | 82.81 | 68.33 | 54.31 | 53.87
June | 55.68 | 55.25 | 103.25 | 59.56 | 78.5 | 66.7 | 56.75 | 57.41
July | 55.16 | 54.75 | 97 | 60.7 | 88.05 | 62 | 63 | 60.89
August | 54.39 | 54.75 | 95 | 60 | 95.56 | 62 | 58.96 | 56.35
September | 55.13 | 55.35 | 94.8 | 58.45 | 97.5 | 57.95 | 61.33 | 59.28
2011/12
October | 51.73 | 51.56 | 92.5 | 56.81 | 97 | 54.24 | 61.1 | 52.09
November1 | 51.44 | 50.5 | 91 | 56.13 | 98.75 | 53.98 | 48.86 | 45.51
1 Preliminary.  2 Decatur, IL.  3 PBSY Greenwood, MS.  4 Midwest. 5 Southeast mills.  6 Chicago.
NA= Not available.
Sources: Monthly Feedstuff Prices, Agricultural Marketing Service,
U.S. Department of Agriculture.
Last update: | 2011-12-13 14:52:48.570000
Spreadsheet: 070f5cc3-3ebf-4850-b52e-70cfbb1d9a7f
Sheet: 4.4

Table 4.4: Gross enrolment ratio in secondary education by nationality, country, sex and year (per cent)
Country | year | Nationals |  |  | Non-nationals |  |  | Total
 |  | Male | Female | Total | Male | Female | Total | Male | Female | Total
Iraq
 | 2010 | ... | ... | ... | ... | ... | ... | 57.7 | 42.2 | 50.1
 | 2011(1) | ... | ... | ... | ... | ... | ... | 55.6 | 39.5 | 47.8
Oman
 | 2005 | 85.6 | 82 | 83.8 | ... | ... | ... | ... | ... | ...
 | 2010 | 101 | 99.5 | 100.2 | ... | ... | ... | ... | ... | ...
Palestine
 | 2000 | ... | ... | ... | ... | ... | ... | 53.7 | 61.5 | 57.5
 | 2005 | ... | ... | ... | ... | ... | ... | 71 | 81.6 | 76.2
 | 2010 | ... | ... | ... | ... | ... | ... | 68.3 | 87.1 | 77.5
 | 2011 | ... | ... | ... | ... | ... | ... | 67.9 | 84.5 | 76
Qatar
 | 2000 | ... | ... | ... | ... | ... | ... | 79.4 | 98.2 | 87.8
 | 2005 | ... | ... | ... | ... | ... | ... | 80.6 | 102.3 | 90.1
 | 2010 | ... | ... | ... | ... | ... | ... | 97 | 99.4 | 98.1
 | 2011 | ... | ... | ... | ... | ... | ... | 96.3 | 96.6 | 96.5
Saudi Arabia
 | 2010 | ... | ... | ... | ... | ... | ... | 103.26 | 97.79 | 100.57
 | 2011 | ... | ... | ... | ... | ... | ... | 106.32 | 100.51 | 103.46
Yemen
 | 2000 | … | … | … | … | … | … | … | … | …
 | 2005 | 43 | 22.8 | 33.4 | … | … | … | 43 | 22.8 | 33.4
 | 2010 | 41.8 | 27.6 | 35 | … | … | … | 41.8 | 27 | 35
 | 2011 | 42.8 | 29.2 | 36.2 | … | … | … | 42.8 | 29.2 | 36.2
(1) Includes government and private.