tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 70635d1271345094-excel-2007-pivots-with-lookups-or-indexes-new-label-template-18082009
Sheet: CORE DATA

Ward | Supplement | Duration | Number
A1E | 250Ml [NAME] | 1 Day | 1
A1W | 250Ml Conc Apple Juice | 2 Days | 2
A2E | 250Ml Conc Fruit Cocktail Juice | 3 Days | 3
A2W | 250Ml Conc Guava Juice | 4 Days | 4
[NAME] | 250Ml Diluted Apple Juice | 5 Days | 5
A3W | 250Ml Diluted Fruit Cocktail Juice | 6 Days | 6
A4E | 250Ml Diluted Guava Juice | 7 Days | 7
A4W | 250Ml Fortified Apple Juice | Until Discharged | 8
B1E | 250Ml Grape Juice (Liquifruit Grape) | ON HOLD | 9
B1W | 250Ml Ice Cream |  | 10
B2E | 250Ml Maas |  | 11
B2W | 250Ml [NAME] ( 0 Scoops) |  | 12
B3E | 250Ml Milk Full Cream |  | 13
B3W | 250Ml Milk Low Fat |  | 14
B4E | 250Ml Yoghurt: Enriched |  | 15
B4W | 250Ml Yoghurt: Fortified |  | 16
C3E | 250Ml Yoghurt: Fruit |  | 17
C3W | 250Ml Yoghurt: Plain |  | 18
C4E | Cereal: All Bran |  | 19
CW4 | Cereal: Cornflakes |  | 20
D1E | Cereal: Weetbix x 2 |  | 21
D1W | Fruit: Apple |  | 22
D2E | Fruit: Banana |  | 23
D2W | Fruit: Orange |  | 24
D3E | Fruit: Pear |  | 25
[NAME] | Portion: Boiled Egg - No Salt |  | 26
D4E | Portion: Boiled Egg (+ 1 Sachet Salt) |  | 27
D4W | Portion: [NAME] |  | 28
ICU 1 | Portion: Cheese & Crackers |  | 29
ICU 2 | Portion: Chicken Drumstick |  | 30
ICU 3 | Portion: Custard
ICU 4 | Portion: Fried Fish (150g)
LABOUR | Portion: Hot Chips
TRAUMA | Portion: Hot Chips - NO SALT
 | Portion: Hotdog
 | Portion: Jelly
 | Portion: Prunes (8/Portion)
 | Portion: [NAME] (1/Portion)
 | Sandwich: Cheese
 | Sandwich: Chicken Mayonnaise
 | Sandwich: [NAME]
 | Sandwich: Egg Mayonnaise
 | Sandwich: Fried Egg
 | Sandwich: Jam
 | Sandwich: [NAME]
 | Sandwich: Polony, Cheese & Tomato
 | Scone: Jam And Cream
 | Scone: Jam And Margarine
 | Scone: Plain
Spreadsheet: 56827d1256930145-conditional-formatting-help
Sheet: Sheet1

Parameter | standard | Well 1 | Well 2 | Well 3 | Well 4
Hardness | N/A | 77.2 | 40 | 76.2 | 50
Fluoride | 2  (if hardness value < 50) | 4 | 2.2 | 1.14 | 3
 | 3  (if hardness value [NAME] 50)
if the 'well' values exceed the standard (not less than or equal to) then the well values need to be highlighted yellow
Spreadsheet: 868457d1715185438-how-to-work-out-time-when-passed-24-hours-time-sheet
Sheet: Sheet1

 |  |  |  |  |  | Time Start | Time Finish | Time Spent
 |  |  |  |  |  | 09:00:00 | 09:15:00
 |  |  |  |  |  | 09:15:00 | 09:20:00
 |  |  |  |  |  | 09:20:00 | 09:22:00
 |  |  |  |  |  | 09:30:00 | 10:00:00
 |  |  |  |  |  | 10:05:00 | 10:15:00
 |  |  |  |  |  | 10:30:00 | 10:40:00
 |  |  |  |  |  | 12:00:00 | 12:10:00
 |  |  |  |  |  | 12:00:00 | 12:40:00
 |  |  |  |  |  | 12:15:00 | 12:25:00
 |  |  |  |  |  | 14:30:00 | 14:50:00
 |  |  |  |  |  | 15:30:00 | 15:40:00
 |  |  |  |  |  | 17:30:00 | 18:20:00
 |  |  |  |  |  | 16:30:00 | 16:45:00
 |  |  |  |  |  | 18:30:00 | 18:40:00
 |  |  |  |  |  | 19:30:00 | 19:35:00
 |  |  |  |  |  | 18:30:00 | 19:10:00
 |  |  |  |  |  | 19:15:00 | 19:30:00
 |  |  |  |  |  | 22:00:00 | 22:05:00
 |  |  |  |  |  | 22:10:00 | 22:15:00
 |  |  |  |  |  | 22:15:00 | 22:30:00
 |  |  |  |  |  | 22:30:00 | 01:30:00
Spreadsheet: 3f4dbdfd-701b-4397-a113-366adc01f70d
Sheet: Sheet1

Supplementary Table 1. Sequence overlap between piRNA datasets | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7
Datasets | # of distinct sequences after removal of identical length duplicates | # of distinct sequences merged at 100%, 95%,90% identity | Inter-dataset overlaps at 100%/95%/90% identity
A | 40102 | 27,174/21,732/19,963 | -
B | 28956 | 18,931/15,570/14,557 | 3,682/4,879/5,060 | -
C | 3482 | 3,079/2,929/2,860 | 1,063/1,323/1,426 | 618/798/909 | -
D | 357 | 330/319/317 | 113/149/161 | 90/113/125 | 58/72/79 | -
E | 40 | 40/40/40 | 2/3/5 | 2/5/6 | 1/1/2 | 0 | -
 |  |  | A | B | C | D | E
Spreadsheet: 826260d1681902094-need-help-in-formula-to-search-the-specific-words-in-the-list-sample
Sheet: Sheet1

Search in  below and the result in the next column | Result |  |  |  | Search below words in the A column and the results will be in B
100% COTTON WOVEN MENS JACKET/COAT ASSORTED SIZES/COLOUR/STYLE/DESIGN | Jacket |  |  |  | Trouser
100% COTTON DYED AND WHITE T-SHIRTS |  |  |  |  | Trousers
BOY'S 60% COTTON  40% POLYESTER PANT | Pant |  |  |  | Pant
95%COTTON 5%SPANDEX  KNITTED MENS  T.SHIRTS  DYED |  |  |  |  | Pants
COTTON TROUSERS AND BRACES DETAIL | Trousers |  |  |  | Jacket
REDAY MADE GARMENTS   [NAME] AND HODDIE  ASSORTED COLOURS
MEN'S 80% COTTON 20% POLYESTER KNITTED DYED FULL ZIP HOOED TOP.
JACKETS 100% POLYESTER | Jacket
50%Polyester 45%Cotton 5%Elastane  KNITTED BLACK RIBBED WIDE LEG & T SHIRT SET
SHORTS  M/O POLY COTTON AS PER INV
MENS 100% BCI COTTON (10% ORG CTTN) JACKET  DYED. | Jacket
PANTS M/O 100% POLYESTER KNITTED FABRIC | Pants
Spreadsheet: 681436d1591571477-slicer-sorting-that-parses-comma-separated-values-gymexample-dbrownla-
Sheet: Sheet1

 | Muscle Group | Movement | Equipment
 | Full body | Thrusters | Dumbbell
 | Full body | Snatch | Dumbbell
 | Shoulders | Push press or [NAME] | Dumbbell
 | Back | Deadlift | Dumbbell
 | Chest | [NAME] | Dumbbell
 | Shoulders | Shoulder press | Dumbbell
 | Chest | Chest Fly | Dumbbell
 | Hamstrings, Back | Sumo DL | Dumbbell
 | Hamstrings, Back, Traps | Sumo DL high pull | Dumbbell
 | Back, Shoulders, Lats | Bent over rows | Dumbbell
 | Biceps | [NAME] | Dumbbell
 | Tricep | Tricep Extensions | Dumbbell
 | Full body | [NAME] | Dumbbell
 | Glutes, Quads, Shoulders | OH lunge | Dumbbell
 | Glutes, Quads, Shoulders | OH walking lunge | Dumbbell
 | Chest | [NAME] | Bench
 | Abs | Incline sit-ups | Bench
 | Shoulders | Shoulder presses | Bench
 | Chest | Push-ups | Bodyweight
 | Legs | Squats | Bodyweight
 | Full body | Burpees | Bodyweight
 | Shoulders | Hspu | Bodyweight
 | Shoulders | Handstand walk progressions | Bodyweight
 | Hamstrings | Leg lifts | Bodyweight
 | Core | Mtn climbers | Bodyweight
 | Core | Grasshoppers | Bodyweight
 | Core | Bear Crawl | Bodyweight
 | Core | Sit-ups | Bodyweight
 | Core | Planks | Bodyweight
 | Core | Side planks | Bodyweight
 | Core | V-ups | Bodyweight
 | Core | Single leg V-ups | Bodyweight
 | Core | Hollow body hold | Bodyweight
 | Core | Hollow body rock | Bodyweight
 | Core | Supermans | Bodyweight
 | Core | Side plank hip lifts | Bodyweight
 | Core | Plank shoulder tap | Bodyweight
 | Core | Plank up-down on step or bench | Bodyweight
 | Core | Plank elbow up-downs | Bodyweight
 | Core | Heel taps | Bodyweight
 | Core | Plank leg lifts | Bodyweight
 | Core | Bird dog | Bodyweight
 | Core | Dead bugs | Bodyweight
 | Legs, Shoulders, Arms | Thrusters | Bands
 | Legs, Shoulders | Rows | Bands
 | Shoulders | Shoulder press | Bands
 | Lats | Lat pull downs | Bands
 | Triceps | Tricep pull downs | Bands
 | Back, Shoulders, Lats | Reverse fly | Bands
 | Chest | Chest fly | Bands
 | Chest | Chest press | Bands
 | Biceps | Curls | Bands
Spreadsheet: 725829d1616917317-help-on-adjusting-excel-formula-to-calculate-more-date-sales-ledger-7
Sheet: TXs

 | Date | Txs | Student Number | Student Name | Receipt Number | Invoice Number | Amount | Notes
 | 2020-01-01 00:00:00 | Opening Balance | ST 001 | [NAME] |  | C001 | 400
 | 2020-01-01 00:00:00 | Opening Balance | ST 003 | [NAME] |  | C001 | 1750
 | 2020-01-02 00:00:00 | Opening Balance | ST 004 | O'Neil James |  | C001 | 1500
 | 2020-01-10 00:00:00 | Student Invoice | ST 004 | O'Neil James |  | 0001 | 2000
 | 2020-01-01 00:00:00 | Opening Balance | ST 002 | [NAME] |  | C002 | 2000
 | 2020-01-12 00:00:00 | Cash Received | ST 001 | [NAME] | R010 | C001 | 300
 | 2020-01-12 00:00:00 | Student Invoice | ST 003 | [NAME] |  | 3 | 2000
 | 2020-01-13 00:00:00 | Cash Received | ST 002 | [NAME] | R011 | 2 | 2000
 | 2020-01-13 00:00:00 | Student Invoice | ST 004 | O'Neil James |  | 4 | 2000
 | 2020-01-14 00:00:00 | Student Invoice | ST 001 | [NAME] |  | 0001 | 2300
 | 2020-01-19 00:00:00 | Cash Received | ST 003 | [NAME] | R013 | 3 | 1500
 | 2020-01-20 00:00:00 | Cash Received | ST 004 | O'Neil James | R014 | 4 | 2000
 | 2020-05-12 00:00:00 | Cash Received | ST 001 | [NAME] | R012 | 0001 | 2300
 | 2020-05-13 00:00:00 | Student Invoice | ST 002 | [NAME] |  | 6 | 2300
 | 2020-05-14 00:00:00 | Student Invoice | ST 003 | [NAME] |  | 7 | 2300
 | 2020-05-15 00:00:00 | Student Invoice | ST 004 | O'Neil James |  | 8 | 2300
 | 2020-09-09 00:00:00 | Student Invoice | ST 001 | [NAME] |  | 0005 | 2500
 | 2020-09-10 00:00:00 | Student Invoice | ST 002 | [NAME] |  | 10 | 2500
 | 2020-09-11 00:00:00 | Student Invoice | ST 003 | [NAME] |  | 11 | 2500
 | 2020-09-12 00:00:00 | Cash Received | ST 001 | [NAME] | R015 | 0005 | 2400
Spreadsheet: 693838d1599173758-formating-dates-and-capital-letters-in-the-first-letter-of-the-month-geral-montrose-exp
Sheet: RESUMO GERAL

 |  |  |  |  |  |  |  |  | g-j-m-p-17 |  |  | d-g-j-m16
 |  | FR. | DÍV 2019 | 1ºT |  |  | 2ºT |  |  | 3ºT |  |  | 4ºT |  |  |  |  | 1ºT | 2ºT | 3ºT | 4ºT |  | 1ºT | 2ºT | 3ºT | 4ºT
 |  | A
 |  | B
 |  | C
 |  | D
 |  | E
 |  | F
 |  | G
 |  | H
 |  | I
 |  | J
 |  | L
 |  | M
 |  | N
 |  | O
 |  | P
 |  | Q
 |  | R
 |  | S
 |  | T
 |  | U
 |  | V
 |  | X
 |  | Z
 |  | AA
Spreadsheet: 274874d1383244393-grid-formula-lean-to-installs
Sheet: Sheet1

LEAN TO |  |  |  |  |  |  |  |  | YES
WIDTH | 2.5 | 3 | 3.5 | 4 | 4.5 | 5 | 5.5 | 6 | 6.5 | 7
DEPTH
2.5 | 672 | 672 | 804 | 936 | 936 | 1068 | 1068 | 1200 | 1200 | 1332 |  | #N/A
3 | 672 | 804 | 870 | 1002 | 1002 | 1134 | 1134 | 1272 | 1272 | 1404
3.5 | 804 | 870 | 936 | 1068 | 1134 | 1200 | 1200 | 1200 | 1320 | 1464
4 | 939 | 1002 | 1068 | 1134 | 1200 | 1272 | 1272 | 1320 | 1320 | 1464
Spreadsheet: 0f8fd283-bd55-4049-b6d3-4b71dfe28aee
Sheet: Table IV.10

Table IV.10 الجدول
Selected Indicators for Air Quality in Yemen
مؤشرات مختارة لقياس نوعية الهواء في اليمن
 | 2005 | 2006 | 2007 | 2008
Consumption of ozone-depleting CFC-11 (metric tons per year) | 58 | 51.8 | 50.9 | 40 | استهلاك مركبات الكلوروفلوروكربون-11 المسببة لنفاد الأوزون (طن في السنة)
Consumption of ozone-depleting CFC-12 (metric tons per year) | 643.3 | 330.4 | 215.2 | 200 | استهلاك مركبات الكلوروفلوروكربون-12 المسببة لنفاد الأوزون (طن في السنة)
Consumption of ozone-depleting Halon-1211 (metric tons per year) | 0.1 | 0.1 | 0.1 | 0 | استهلاك الهالون-1211 المسبب لنفاد [NAME] (طن في السنة)
Consumption of ozone-depleting Halon-1301 (metric tons per year) | 0 | 0.1 | 0 | 0.1 | استهلاك الهالون-1301 المسبب لنفاد [NAME] (طن في السنة)
Consumption of ozone-depleting HCFC-22 (metric tons per year) | 1264 | 1853 | 2211.8 | 2761 | استهلاك مركبات الكلوروفلوروكربون-22 المسببة لنفاد الأوزون (طن في السنة)
Source: | Yemen Statistical Yearbook 2009. | Yemen Statistical Yearbook 2009.
Spreadsheet: e9b7d9fc-a5ab-43ce-99b7-3787c428bb85
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
FARI | Test | FARI | Aripiprazole (Abilify) | Aripiprazole | Liquid Chromatography/Tandem Mass Spectrometry (LC/MS/MS) |  |  |  | 2 | mL | Submit only 1 of the following specimens:   Plasma Draw blood in a green-top (sodium heparin) tube(s), plasma gel tube is not acceptable. Spin down and send 2 mL sodium heparin plasma refrigerated in a plastic vial.  Serum Draw blood in a plain, red-top tube(s), serum gel tube is not acceptable. Spin down and send 2 mL of serum refrigerated in a plastic vial. | 0.25 mL | Hemolysis	NA Thawing	Warm OK; Cold OK Lipemia	NA Icterus	NA Other	NA | Units:  ng/mL  Expected steady state plasma levels in patients receiving recommended daily dosages: 109.0 - 585.0 ng/mL   Test Performed by: Medtox Laboratories, Inc.                              402 West County Road D                              St. Paul, MN  55112 | Monday through Sunday | 5 days | 7 - 9 days | 1 | 82542 |  |  |  |  | Medtox Laboratories, Inc.
FARI | [NAME] | VARIES | Varies |  |  |  | Refrigerated | 7 days
FARI | Result | Z2233 | Aripiprazole | Aripiprazole | Alphanumeric |  |  |  |  |  |  |  |  |  |  |  |  |  |  | In Process
Spreadsheet: 99641d1298255923-oldest-date-min-date
Sheet: min

client | date
tom | 2011-02-03 00:00:00
[NAME] | 2011-03-02 00:00:00
[NAME] | 2011-01-03 00:00:00
[NAME] | 2011-05-03 00:00:00
[NAME] | 2011-08-09 00:00:00
[NAME] | 2011-01-23 00:00:00
[NAME] | 2011-05-02 00:00:00
mary | 2011-01-01 00:00:00
 | formula giving the oldest invoice per each client
tom | 2011-02-03 00:00:00
[NAME] | 2011-03-02 00:00:00
[NAME] | 2011-01-03 00:00:00
[NAME] | 2011-01-23 00:00:00
mary | 2011-01-01 00:00:00
Spreadsheet: 164084d1340643553-look-up-problem-code-and-loaction
Sheet: Sheet1

Code & Location | Code | Code
72040109 | 72040109 | 72040109
5023949764661 | 0 | 72040109
72040114 | 72040114 | 72040114
5023949223920 | 0 | 72040114
5023949510183 | 0 | 72040114
5023949791414 | 0 | 72040114
72040115 | 72040115 | 72040115
5023949057895 | 0 | 72040115
72010901 | 72010901 | 72010901
5023949510183 | 0 | 72010901
72010904 | 72010904 | 72010904
5023949510183 | 0 | 72010904
72010908 | 72010908 | 72010908
5023949510183 | 0 | 72010908
5023949771634 | 0 | 72010908
5023949833970 | 0 | 72010908
72010910 | 72010910 | 72010910
5023949423933 | 0 | 72010910
5023949510183 | 0 | 72010910
5023949583392 | 0 | 72010910
5023949912859 | 0 | 72010910
72010913 | 72010913 | 72010913
Spreadsheet: 883860d1732611419-requesting-help-to-create-a-shipping-calculator-for-item-qtys-and-pallets-fit-container-container-loading-maximisation
Sheet: Sheet1 (2)

 | Container Loading Maximisation
 | Container Type |  | # Pallets | Accept 20ft container? |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Final Pallet Count |  | Container Count
 | 40ft containter |  | 20
 | 20ft container |  | 10 | Yes
 |  |  |  |  |  |  |  | Round 1 |  |  |  | Round 2 |  |  |  | Round 3 |  |  |  | Round 4 |  |  |  | Round 5
 |  | Qty per Pallet | [NAME] | # Pallets | Can Increase Qty? | Can Reduce Qty? | Rounding | % Diff | Adj Priority | Adj | Qty After Adj | % Diff | Adj Priority | Adj | Qty After Adj | % Diff | Adj Priority | Adj | Qty After Adj | % Diff | Adj Priority | Adj | Qty After Adj | % Diff | Adj Priority | Adj | Qty After Adj | Total Adj | [NAME] | Adj # Pallets | Adj Qty to Order | Increase /Reduce | % Increase /Reduce | Check
 | Product 1 | 120 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0
 | Product 2 | 96 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0
 | Product 3 | 75 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0
 | Product 4 | 550 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0
 | Product 5 | 550 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0
 | Product 6 | 200 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0
 | Product 7 | 300 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0
 | Product 8 | 300 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0
 |  |  |  |  |  | # pallets desired
 |  |  |  |  |  | To adjust Qty Up/(Down)
 | Requesting help to create a Shipping Calculator for Item QTY's and Pallets fit Container
 | https://www.excelforum.com/excel-general/1430751-requesting-help-to-create-a-shipping-calculator-for-item-qtys-and-pallets-fit-container.html
Spreadsheet: michelle_lokay__26574__imbalsumm0012
Sheet: PGETX

 |  |  |  |  | 12283
 | [NAME] |  | Pecos Del |  | Gunpoint #2
Day | Measured | Scheduled | Measured | Scheduled | Measured | Scheduled
1 | 33295 | 17825 |  | 14579
2 | 35755 | -187 |  | 35000
3 | 4589 | -187
4 | 42970 | -187 |  | 43232
5 | 419 | -187 |  | 61
6 |  | 14623 |  | -5000
7 | 36032 | 18481 |  | 16742
8 | 29195 | 20939 |  | 8000
9 | 435 | -187
10 |  | -187
11 |  | -187 | 5
12 | 21615 | 20588
13 | 49616 | 28812 |  | 20221
14 | 11991 | 49 |  | 10041
15 | 17918 | 18438
16 | 54633 | 53350
17 | 49627 | 48693
18 | 31687 | 41662 | 9093
19 | 30086 | 26453 |  | 5000
20 | 13043 | 12819
21 | 36937 | 36354
22 | 19946 | 19813
23 | 29195 | 29813
24 | 21374 | 21313
25 | 21452 | 21313
26 | 26404 | 11313 |  | 15162
27 | 31927 | 14647 |  | 17000
28 | 30965 | 15502 |  | 14808
29 | 143 | -187 |  | 1366
30 | 33744 | 25039 |  | 9806
31 | 27119 | 18325 |  | 8359
 |  |  |  | 2000-11-30 00:00:00 |  |  | 24376.68
 |  |  |  | 2000-12-31 00:00:00
Spreadsheet: 789333d1659039190-lookup-column-number-if-the-value-matches-my-criteria-lookup-first-occurence-if-it-is-greater-than-a-chosen-column-number
Sheet: Sheet1

 | A | B | C | D | E | F | G | H | I | J |  | COLUMN # | VALUE
 | 2.62 | 2.8 | 2.54 | 2.4 | 2.66 | 2.2 | 2.3 | 2.6 | 2.86 | 2.94 |  | 6 | 2.58
 |  |  |  |  |  |  |  |  |  |  |  | MANUAL RETURN | CURRENT FORMULA RETURN
 |  |  |  |  |  |  |  |  |  |  |  | 8
Spreadsheet: 093ddced-5d9d-4fd0-b59b-390db080fda3
Sheet: Table VII.5

Table VII.5 الجدول
Access to Improved Sanitation (urban) (%)1
السكان الذين [NAME] محسّنة ([NAME]) (بالنسبة المئوية)
 | 1990 | 2000 | 2005 | 2008
Bahrain | 100 | 100 | 100 | 100 | البحرين
Egypt | 91 | 95 | 97 | 97 | مصر
Iraq | ... | 76 | 76 | 76 | العراق
Jordan | 98 | 98 | 98 | 98 | الأردن
Kuwait | 100 | 100 | 100 | 100 | الكويت
Lebanon | 100 | 100 | 100 | 100 | لبنان
Oman | 97 | 97 | 97 | 97 | عمان
Palestine* | … | … | 99 | 100 | فلسطين(*)
Qatar | 100 | 100 | 100 | 100 | قطر
Saudi Arabia | 100 | 100 | 100 | 100 | المملكة العربية السعودية
The Sudan | 63 | 58 | 56 | 55 | السودان
The Syrian Arab Republic | 94 | 95 | 96 | 96 | الجمهورية العربية السورية
The United Arab Emirates | 98 | 98 | 98 | 98 | الإمارات العربية المتحدة
Yemen | 59 | 81 | 89 | 94 | اليمن
ESCWA2 | 743 | 874 | 89 | … | [NAME]
GCC2 | 100 | 100 | 100 | … | مجلس التعاون الخليجي
Source: | MDG Database, accessed on 19 April 2011.
 | * | PCBS reply to ESCWA on the preliminary tables for the Compendium of Environment Statistics 2010-2011.
Notes: | 1 | All values are estimated by their sources.
 | 2 | ESCWA calculation weighted average by the population.  If data for more than two countries are missing, no average is calculated.  Urban population figures are based on the World Urbanization Prospects: The 2009 Revision, UNSD.
 | 3 | Excluding Iraq and Palestine.
 | 4 | Excluding Palestine.
Spreadsheet: 033d4855-ec7b-4602-8b8c-aaab9c75b6fc
Sheet: 11b

Product | EUR** | GBP | [NAME] | USD | TOTAL
Basis* | <100 | <100 | <100 | 288 | 288
FRA | 4708 | 3829 | <100 | 2910 | 11447
IRS- [NAME] | 13332 | 2810 | 2936 | 11236 | 30314
OIS | 1498 | 262 |  | 380 | 2140
VNS | <100 |  |  |  | <100
Zero Coupon | <100 | <100 |  | <100 | <100
TOTAL | 19538 | 6901 | 2936 | 14814 | 44189
Estimated swap transaction volumes, week ending February 1, by product type and supermajor currency (millions of USD), all participant types, cleared and uncleared.
Total(s) may be less than total shown for this asset class in the All Swaps reports and/or other CFTC Swaps Report tables if products were excluded from this table that (a) presented disclosure risk or (b) did not belong in the categories shown.
*See Data Dictionary for product descriptions.
**See Data Dictionary for supermajor currency descriptions.
***N/A indicates that data are not currently available.
Note: Transaction volumes currently include house and client trades by FCMs in the interest rate asset class.
The Commission requests feedback on the format and content of this CFTC Swaps Report table. Submit comments to [EMAIL].
Spreadsheet: 195562d1353553717-look-up-certain-values-and-then-combine-the-rest-in-to-one-cell-excel-query-moo
Sheet: Result

 |  |  | Product name | Product Name | JAN | FEB | MAR | APR
3580/99/01/PROF72001 | ADRIAN PIEKARSKI | [NAME] | REVITALENS |  | 345
3580/99/01/PROF72001 | ADRIAN PIEKARSKI | Complete | [NAME] | [NAME] | 521
3580/99/01/PROF72001 | ADRIAN PIEKARSKI | [NAME]. Tears | DROPS- B&C & BLINK |  | 2134
3580/99/01/PROF72001 | ADRIAN PIEKARSKI | Other | Rest (total of other items for Adrian Piekarski) |  | 12797
3580/99/01/PROF72002 | RICHARD PATMORE | [NAME] | REVITALENS
3580/99/01/PROF72002 | RICHARD PATMORE | Complete | [NAME] | [NAME] |  |  |  |  | This should be the total of the rest of the values for Adrian Piekarski
3580/99/01/PROF72002 | RICHARD PATMORE | [NAME]. Tears | DROPS- B&C & BLINK
3580/99/01/PROF72002 | RICHARD PATMORE | Other | Rest (total of other items for [NAME])
3580/99/01/PROF72003 | VACANT NSW | [NAME] | REVITALENS
3580/99/01/PROF72003 | VACANT NSW | Complete | [NAME] | [NAME]
3580/99/01/PROF72003 | VACANT NSW | [NAME]. Tears | DROPS- B&C & BLINK
3580/99/01/PROF72003 | VACANT NSW | Other | Rest (total of other items for Vacant NSW)
Spreadsheet: 73476d1274143127-count-different-sets-of-data-with-multiple-variables-example
Sheet: Sheet1

 | letter | number | combo
 | A | 1 | A1
 | A | 1 | A1
 | A | 2 | A2
 | A | 3 | A3
 | A | 3 | A3
 | B | 1 | B1
 | B | 2 | B2
 | B | 2 | B2
 | B | 2 | B2
 | B | 3 | B3
 | C | 1 | C1
 | C | 2 | C2
 | C | 3 | [NAME]
 | C | 1 | C1
 | C | 2 | C2
Spreadsheet: 44004d1242668991-list-table-inc-page-number-variable-multiple-20criterion-20example-1-
Sheet: Sheet1

 |  | A | B | DF | GH | AF |  | AZ | 5
 |  |  |  |  |  | 8 | 3
 |  |  |  |  |  | 9 | 3
 |  |  |  |  |  | 15 | 5
 |  |  |  |  |  | 23 | 5
 |  |  |  |  |  | 32 | 5
 |  |  |  |  |  | 51 | 5
 |  |  |  |  |  | 17 | 5
 |  |  |  |  |  | 14 | 5
 |  |  |  |  |  | 4 | 3
 |  |  |  |  |  | 6 | 5
 |  |  |  |  |  | 9 | 3
 |  |  |  |  |  | 33 | 5
 |  |  |  |  |  | 25 | 3
 |  |  |  |  |  | 42 | 9
 |  |  |  |  |  | 14 | 3
 |  |  |  |  |  | 23 | 5
 |  |  |  |  |  | 52 | 9
 |  |  |  |  |  | 8 | 3
 |  |  |  |  |  | 25 | 5
Spreadsheet: c09ae9a7-8404-4f17-98c4-748ecb627f12
Sheet: Sheet1

PROG ID | ATHLETE ID | ATHLETE FIRST | ATHLETE LAST | NATIONALITY | START NUMBER | SWIM | T1 | BIKE | T2 | RUN | POSITION | TOTAL TIME | PROGRAM
4461 | 15348 | Stephen | [NAME] | AUS | 0 | 00:00:00 | 00:00:00 | 00:00:00 | 00:00:00 | 00:00:00 | 1 | 02:17:12 | Elite Men
4461 | 10171 | [NAME] | Bright | NZL | 0 | 00:00:00 | 00:00:00 | 00:00:00 | 00:00:00 | 00:00:00 | 2 | 02:18:18 | Elite Men
4461 | 21375 | Yves | Cordier | FRA | 0 | 00:00:00 | 00:00:00 | 00:00:00 | 00:00:00 | 00:00:00 | 3 | [NAME] | Elite Men
4460 | 10228 | [NAME] | Rose | NZL | 0 | 00:00:00 | 00:00:00 | 00:00:00 | 00:00:00 | 00:00:00 | 1 | 02:38:31 | Elite Women
4460 | 15302 | Hannele | Steyn | RSA | 0 | 00:00:00 | 00:00:00 | 00:00:00 | 00:00:00 | 00:00:00 | 2 | 02:47:19 | Elite Women
4460 | 9941 | Sophie | Delemer | FRA | 0 | 00:00:00 | 00:00:00 | 00:00:00 | 00:00:00 | 00:00:00 | 3 | 02:47:24 | Elite Women
Spreadsheet: kimberly_watson__20556__imbalsumm0109
Sheet: Agave

Agave imbalance
 | Measured | Scheduled | Imbalance
56339 | 103877 | 102838
500232 |  |  |  |  |  |  |  |  |  | 2000-01-06 00:00:00 | paper | 0.5
500238 | 85286 | 105971 |  |  |  |  |  |  |  |  | lunch | 7.6
500239 | 54839 | 67549
500293 | 42816 | 61217
500302 |  | 1062
500303 | 22961 | 33401
500305 | 105403 | 132235
500307 | 4541 | 6556
500313 |  | 313
500314
500655 | 64515
500657 | 19221 | 3600
INDEX
2001-08-31 00:00:00 |  |  | -9731.44
2001-09-03 00:00:00
CBS Volume
 |  |  | -37683