tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 732699d1621173307-getting-cell-address-for-formula-from-list-example-etaf
Sheet: example

1 |  |  | JANUARI | TOTAL
 | 1
 | 2 |  | Insurance | 21
 | 3 |  | Rent | 32 |  |  | Tools cost
 | 4
 | 5 |  | Clothing | 54
 | 6
 | 7 |  |  |  |  |  | ROW | details | cost
 | 8 |  | Phone | 18 |  |  | 13
 | 9 |  |  |  |  |  | 17
 | 10
 | 11
 | 12 |  | Tools | 54
 | 13
 | 14
 | 15
 | 16 |  | Other tools | 48
 | 17
 | 18
 | 19
 | 20
 | 21
 | 22
 | 23
 | 24
 | 25
 | 26
 | 27
 | 28
 | 29
 | 30
 | 31 |  |  |  |  |  |  | SUM
 |  |  | MND.TOTAL
 |  |  | CUMM.TOTAL
Spreadsheet: 853978d1703937844-vba-code-to-make-my-classes-schedule-for-number-of-days-with-available-faculty-test-file
Sheet: Sheet2

Date | session no | subject name | opentiming | close timing | facuty name for class 1 | faculty name for class 2
2023-12-29 00:00:00 | 1 | a2 | 10:00:00 | 11:30:00 | RAGHAV | same faculty cant take two classes at the same time
2023-12-29 00:00:00 | 2 | a3 | 11:45:00 | 01:15:00
2023-12-29 00:00:00 | 3 | a5 | 01:45:00 | 03:15:00 | any combination will do
2023-12-29 00:00:00 | 4 | a10 | 03:30:00 | 05:00:00
2023-12-30 00:00:00 | 1 | as so on | 10:00:00 | 11:30:00 | but absent faculties cant be allotted any session on dates when they are not there
2023-12-30 00:00:00 | 2 | subject given are preferred subjects but if match cant be made any facukty can take any class also in exigency | 11:45:00 | 01:15:00
2023-12-30 00:00:00 | 3 |  | 01:45:00 | 03:15:00
2023-12-30 00:00:00 | 4 |  | 03:30:00 | 05:00:00
2024-01-01 00:00:00 | 1 |  | 10:00:00 | 11:30:00
2024-01-01 00:00:00 | 2 |  | 11:45:00 | 01:15:00
2024-01-01 00:00:00 | 3 |  | 01:45:00 | 03:15:00
2024-01-01 00:00:00 | 4 |  | 03:30:00 | 05:00:00
 |  |  | same time table will repeat
 |  |  | we give 15 min gap in each class and lunch during 1:15 to 1:45
 | *important | basically subjected suggested preferred is how many classes a faculty will take
 |  | in class 1 & 2 those no of classes should be same and its wish of faculty which subject he wants to take in which class ultimately all preffered subject by him should be covered
Spreadsheet: 185071d1349466871-scroll-down-automatically-in-shared-workbook-shared-2
Sheet: Mission Log

Unavailable Status = 900 |  |  |  |  | Available |  |  |  | Boarding Pass #
ETA < 10 Min = Mission # + 400
Dispatched Status = Mission # |  |  |  |  | Not Available |  |  |  | Passanger Weight
Flt Plan Closed = Mission # |  |  |  |  |  |  |  |  | External Medical Device
 |  |  |  |  |  |  |  |  | Mission Log
Pilot | Will be leaving @ | Load Team | Type | Reg | Wing (H/L) | Medical Device Capable | Passenger Load | Team # | 09:30:00 | 10:30:00 | 11:30:00 | 12:30:00 | 13:30:00 | 14:30:00 | 15:30:00 | 16:30:00 | 17:30:00 | 18:30:00 | 19:30:00 | 20:30:00 | 21:30:00 | 22:30:00
[NAME] |  |  | C 177 | N30033 | High | Y | 380 | [NAME]
[NAME] |  |  | C-172 | N3904F | High | Y | 400 | Alpha
Daly |  |  | C-172 | N4318R | High | Y | 400 | Foxtrot
Talman |  |  | P28 | N9106Y | Low |  | 400 | [NAME]
Elson |  | LL | C 177 | 1597H | High | Y | 400 | Kilo
Berry |  |  | C172 | N80847 | High | Y | 400 | Lima
Blackbourn |  |  | C172 S | N1152Z | High | Y | 400 | November
Lindley |  |  | C182 | N52907 | High | Y | 450 | Echo
GORMLEY |  | LL+2 | C 182 | N182GF | High | Y | 450 | Bravo
Polvka |  |  | C182 | N2608R | High | Y | 460 | [NAME]
Pratzman |  |  | C182 | N182VM | High | Y | 460 | Quebec
Spoor |  |  | Maule | N9234N | High | Y | 550 | Papa
[NAME] |  |  | SR 20 | N878EA | Low |  | 700 | Gulf
Newman |  |  | SR20 | N937CD | Low |  | 716 | India
Desmon |  | LL | L17 | N4591K | Low |  | 720 | [NAME]
MARKS |  |  | C T210L | N2122S | High | Y | 800 | Delta
Gyuro |  | LL | C 205 | N1835Z | High | Y | 800 | Hotel
 |  |  |  |  |  |  |  | Romeo
 |  |  |  |  |  |  |  | Sierra
 |  |  |  |  |  |  |  | Tango
 |  |  |  |  |  |  |  | Uniform
 |  |  |  |  |  |  |  | Victor
 |  |  |  |  |  |  |  | Whiskey
 |  |  |  |  |  |  |  | [NAME]
 |  |  |  |  |  |  |  | Yankee
 |  |  |  |  |  |  |  | Zulu
 |  |  |  |  |  |  |  | AA
 |  |  |  |  |  |  |  | AB
 |  |  |  |  |  |  |  | AC
 |  |  |  |  |  |  |  | AD
 |  |  |  |  |  |  |  | AE
 |  |  |  |  |  |  |  | AF
Spreadsheet: 852399d1702462570-multiple-data-validation-for-cells-multiple-data-validation
Sheet: Multiple data validation

 |  | Set point |  | Input
 |  | 1 |  |  |  |  |  | So i protect my workbook and then in "Allow edit ranges" i allow input in E3:E17
 |  | 2
 |  | x |  |  |  |  |  | [NAME] can be unprotected just by klicking "Unprotect Sheet"
 |  | 1
 |  | 2 |  |  |  |  |  | I unprotect workbook and set "data validation" in E3:E8 so it can only be used when [NAME] has an "x"
 |  | x
 |  | 1 |  |  |  |  |  | Set "data validation" in E9:[NAME] so it can only be used with number 1 or 2
 |  | 2
 |  | x |  |  |  |  |  | Now iff i try to combine this in cell E15:E17 this doenst work
 |  | 1
 |  | 2
 |  | x
 |  | 1
 |  | 2
 |  | x
Spreadsheet: 273600d1382777794-setting-cell-value-to-min-value-book1
Sheet: EC

 | Income |  |  |  |  | Monthly |  |  |  |  | Total |  |  |  |  | Cost |  |  |  |  | Cost |  |  |  |  | Cost |  |  |  |  | Cost
Catogeory | 1 | 2 | 3 | 4 | 5 | 1 | 2 | 3 | 4 | 5 | 1 | 2 | 3 | 4 | 5 | 1 | 2 | 3 | 4 | 5 | 1 | 2 | 3 | 4 | 5 | 1 | 2 | 3 | 4 | 5 | 1 | 2 | 3 | 4 | 5
Product |  |  |  |  |  | 5.49 | 8.99 | 4.49 | 8.99 | 3.99 |  |  |  |  |  | 30.72993673909569 | 61.4437475220107 | 18.30495321569442 | 61.0507415805348 | 16.93676237738524 | 15 | 15 | 15 | 15 | 15
Product |  |  |  |  |  | 5.49 | 8.99 | 4.49 | 8.99 | 3.99 |  |  |  |  |  | 31.39334314307404 | 62.77021219834931 | 18.70012562658865 | 62.36872193552287 | 17.30239790469572 | 15 | 15 | 15 | 15 | 15
Product |  |  |  |  |  | 5.49 | 8.99 | 4.49 | 8.99 | 3.99 |  |  |  |  |  | 32.24292520160228 | 64.46893048555708 | 19.20619760344593 | 64.05657489620532 | 17.77064388800347 | 15 | 15 | 15 | 15 | 15
Product |  |  |  |  |  | 5.49 | 8.99 | 4.49 | 8.99 | 4.49 |  |  |  |  |  | 33.09250726013053 | 66.16764877276486 | 19.71226958030319 | 65.74442785688777 | 18.23888987131122 | 15 | 15 | 15 | 15 | 15
Product |  |  |  |  |  | 5.99 | 8.99 | 4.49 | 8.99 | 4.49 |  |  |  |  |  | 34.57927586255497 | 69.14040577537847 | 20.59789553980341 | 68.69817053808204 | 19.05832034209977 | 15 | 15 | 15 | 15 | 15
Product |  |  |  |  |  | 5.99 | 9.49 | 4.49 | 9.49 | 4.49 |  |  |  |  |  | 36.70323100887559 | 73.3872014933979 | 21.86307548194658 | 72.91780293978816 | 20.22893530036914 | 15 | 15 | 15 | 15 | 15
Product |  |  |  |  |  | 6.49 | 9.99 | 4.49 | 9.99 | 4.49 |  |  |  |  |  | 38.82718615519621 | 77.63399721141731 | 23.12825542408975 | 77.13743534149427 | 21.39955025863851 | 15 | 15 | 15 | 15 | 15
Product |  |  |  |  |  | 6.49 | 10.49 | 4.99 | 10.49 | 4.49 |  |  |  |  |  | 40.95114130151683 | 81.88079292943674 | 24.39343536623292 | 81.35706774320039 | 22.57016521690788 | 15 | 15 | 15 | 15 | 15
Product |  |  |  |  |  | 6.49 | 10.99 | 4.99 | 10.99 | 4.99 |  |  |  |  |  | 43.07509644783745 | 86.12758864745616 | 25.65861530837609 | 85.57670014490647 | 23.74078017517725 | 15 | 15 | 15 | 15 | 15
Product |  |  |  |  |  | 6.99 | 11.49 | 4.99 | 10.99 | 4.99 |  |  |  |  |  | 45.19905159415806 | 90.37438436547559 | 26.92379525051926 | 89.79633254661258 | 24.91139513344662 | 15 | 15 | 15 | 15 | 15
Product |  |  |  |  |  | 6.99 | 11.99 | 5.49 | 11.99 | 4.99 |  |  |  |  |  | 48.38498431363899 | 96.74457794250473 | 28.82156516373401 | 96.12578114917176 | 26.66731757085067 | 15 | 15 | 15 | 15 | 15
Spreadsheet: 40cca9d4-40be-4d5a-a148-a6adf4d4dcf2
Sheet: Sheet1

PROG ID | ATHLETE ID | ATHLETE FIRST | ATHLETE LAST | NATIONALITY | START NUMBER | SWIM | T1 | BIKE | T2 | RUN | POSITION | TOTAL TIME
2827 | 6984 | Xavier | Torrades | ESP | 20 | 00:12:04 | 00:00:00 | 00:58:52 | 00:00:00 | [NAME] | 1 | 01:35:24
2827 | 16123 | [NAME] | [NAME] | ESP | 18 | 00:13:58 | 00:00:00 | 00:54:15 | 00:00:00 | 00:30:27 | 2 | 01:38:42
2827 | 16352 | Víctor | Rullán | ESP | 22 | 00:17:55 | 00:00:00 | 00:58:39 | 00:00:00 | 00:26:49 | 3 | 01:43:24
2827 | 16214 | Pere | Reines | ESP | 19 | 00:16:25 | 00:00:00 | 01:03:32 | 00:00:00 | 00:27:46 | 4 | 01:47:45
2827 | 16215 | Imanol | Echarri | ESP | 21 | 00:14:19 | 00:00:00 | 01:03:02 | 00:00:00 | 00:31:11 | 5 | 01:48:34
Spreadsheet: 158653d1338329059-sql-msquery-join-3-tables-must-be-easy-sql_join_q
Sheet: Sheet1

 |  |  | Table 1 |  |  |  | Table 2 |  | Table 3
 |  |  | class | name |  |  | name |  | name | married
 |  |  | A | [NAME] |  |  | [NAME] |  | suzan | no
 |  |  | A | [NAME] |  |  | jane |  | Dirk | yes
 |  |  | B | jane |  |  | lucas |  | [NAME] | Yes
 |  |  | B | lucas |  |  |  |  | [NAME] | No
 |  |  | B | [NAME] |  |  |  |  | Maria | Yes
 |  |  | C | [NAME]
 |  |  | C | [NAME]
 |  |  | C | Elvira
 |  |  | D | Lucas
 |  |  | E | Samira
 |  |  | E | [NAME]
 |  |  | E | [NAME]
 |  |  | F | Sami
 |  |  | F | Suzan
 |  |  | G | [NAME]
 |  |  | Needed output in msquery/SQL:
 |  |  |  |  | Class | name
 |  |  |  |  | A | [NAME]
 |  |  |  |  | B | [NAME]
 |  |  |  |  | C | [NAME]
 |  |  |  |  | B | jane
 |  |  |  |  | B | Lucas
 |  |  |  |  | D | Lucas
 |  |  |  |  | F | Suzan
 |  |  |  |  | G | [NAME]
 |  |  | I now how to do the first part by inner joining table 2 with table 1 on name=name that gives:
 |  |  |  |  | Class | name
 |  |  |  |  | A | [NAME]
 |  |  |  |  | B | [NAME]
 |  |  |  |  | C | [NAME]
 |  |  |  |  | B | jane
 |  |  |  |  | B | Lucas
 |  |  |  |  | D | Lucas
 |  |  | But then I need to actually just add in some sense table 3 in same way but with the condition that the person is not married.
 |  |  | I know how to filter for married=no in the msquery, but it's just the add of that table that I can't get to work
 |  |  | Can I somehow save the first join and join that separate "new table" with table 3? And will the saved new table be dynamic when it's updated?
Spreadsheet: 862988d1710531272-if-a-value-exists-in-a-string-return-a-value-in-another-cell-top-winner-dj
Sheet: Sheet1

 | Top 3 | Top 4 | Top 4 |  | Winner
 | 4,8,2 |  |  |  | 4
 |  | 4,8,2,1 |  | L | 4 |  |  | if winner (Column F)  exists in Top 3 (Col B) I want W in Column E otherwise L in column E
 |  |  | 4,8,2,1,7 | L | 4
 | 1,2,5 |  |  | W | 1 |  |  |  | For table
 |  | 1,2,5,8 |  | L | 1
 |  |  | 1,2,5,8,9 | L | 1 |  |  |  | Spill array
 | 1,5,14 |  |  | L | 4
 |  | 1,5,9,14 |  | L | 4
 |  |  | 1,5,9,14,4,2 | L | 4
 | 2,1,7 |  |  | L | 5
 |  | 2,1,7,3 |  | L | 5
 |  |  | 2,1,5,3,7,6 | L | 5
 | 5,9,10 |  |  | W | 5
 |  | 5,9,10,2 |  | L | 5
 |  |  | 5,9,10,2,4 | L | 5
Spreadsheet: 752390d1634739604-averageif-function-question-average
Sheet: OUTCOME

A | 5.2
B
C
A | 5.2
B
C
C
B
A | 5.2
A | 5.2
A | 5.2
A | 5.2
B
B
D
D
D
Spreadsheet: 134354d1325246498-solved-reconcile-two-sets-of-data-test
Sheet: company deduction report

EMP. NO. | SURNAME | FIRST NAMES | (=N=) LOAN DEDUCTION | (=N=) LOAN BALANCE | REMARK
04157 | ADEDO, | ABIODUN MOSES | 30000 | 24666.7
02558 | ADEEGBE, | EMMANUEL SUNDAY | 8633.33 | 86333.34
13923 | ADENMOSUN, | [NAME] | 17143.33 | 120003.35
02664 | AJALA, | SALIU | 6348.49 | 19045.47
20634 | AJIBODU, | ABOSEDE OLUWATOBI | 4316.67 | 8633.3
20628 | AKINSOLA, | SUNDAY OLASUNKANMI | 4316.67 | 8633.3
07639 | ALIMI, | NAJEEM | 3700 | 40700
20625 | AYINLA, | ALIU | 5180 | 10360
09797 | AYODEJI, | FATA ADESINA | 7893.33 | 15786.7
30238 | AZEEZ, | NURENI AKANBI | 4316.67 | 8633.3
30234 | BABATUNDE, | [NAME] | 5180 | 10360
30234 | BABATUNDE, | [NAME] | 5180 | 10360
20617 | BAKARE, | MUSILIU | 3946.67 | 11839.97
07473 | BANKOLE, | OLATUNDE | 6166.67 | 36999.98
20621 | BUSARI, | MOTUNRAYO OLUFUNKE | 4316.67 | 10000
20627 | FATUNMBI, | BABATUNDE MICHAEL | 4810 | 9620
30235 | IGOR, | LINUS | 5920 | 65120
10831 | JAYEOLA, | SUNDAY OLUWASEGUN | 11100 | 44400
Spreadsheet: 142048d1329602128-auto-populate-data-from-sheet-1-to-specific-places-in-multiple-other-worksheets-2012-fantasy-golf
Sheet: Valero TX Open

 |  | WEEK 3 Valero Texas Open
 |  | Total Earnings |  |  |  | Rankings Through Week 3 | Total
 | [NAME] | 0 |  | 1 |  | [NAME] | 0
 | [NAME] | 0 |  | 2 |  | [NAME] | 0
 | [NAME] | 0 |  | 3 |  | [NAME] | 0
 | Player 4 | 0 |  | 4 |  | Player 4 | 0
 | Player 5 | 0 |  | 5 |  | Player 5 | 0
 | Player 6 | 0 |  | 6 |  | Player 6 | 0
 | Player 7 | 0 |  | 7 |  | Player 7 | 0
 | Player 8 | 0 |  | 8 |  | Player 8 | 0
 | Player 9 | 0 |  | 9 |  | Player 9 | 0
 | Player 10 | 0 |  | 10 |  | Player 10 | 0
 | Player 11 | 0 |  | 11 |  | Player 11 | 0
 | Player 12 | 0 |  | 12 |  | Player 12 | 0
 | Player 13 | 0 |  | 13 |  | Player 13 | 0
[NAME] |  | [NAME] |  | YTD
Allenby, [NAME] |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 | Total |  |  | 0
[NAME]
Allenby, [NAME] |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 | Total |  |  | 0
[NAME]
Allenby, [NAME] |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 | Total |  |  | 0
Player 4
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 | Total |  |  | 0
Player 5
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 | Total |  |  | 0
Player 6
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 | Total |  |  | 0
Player 7
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 | Total |  |  | 0
Player 8
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 | Total |  |  | 0
Player 9
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 | Total |  |  | 0
Player 10
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 | Total |  |  | 0
Player 11
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 | Total |  |  | 0
Player 12
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 | Total |  |  | 0
Player 13
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 |  |  |  | 0
 | Total |  |  | 0
Spreadsheet: sally_beck__33832__global standards daily reporting phase 1
Sheet: C 03

Quantitative Standards
Daily Exception Reports
Reports Supporting Quantitative Standards C
Report C 03:
Purpose: | To capture what incoming & outgoing confirmations have not been completely executed with 7 days (or exception to your standard -  please indicate standard)
Trade Date | Deal # | Commodity | Transaction | Counterparty | Reason confirmation not executed | Key contact
2000-10-25 00:00:00 | Sample | Power West | Sale of 10K MWH | ABC Co. | Continual problems receiving signed confirmations from counterparty | [NAME]
Spreadsheet: 774047d1648190002-finding-position-of-smallest-value-book1
Sheet: Sheet1

 |  |  |  |  |  |  |  | Using [NAME] find the year that has lowest sale
 |  |  |  |  |  |  |  | Using formula find the zone that had lowest sale (all years)
 |  | Sale in Crore |  |  |  |  |  | Using formula find the zone that had lowest sale (Lowest sale year)
 | Year | North | South | East | West
 | 2010 | 100.6533043419225 | 554.1241109765704 | 89.15512267345594 | 919.5781777856055
 |  | 360.9861989156767 | 109.3867370147656 | 680.0083014006053 | 23.77485869608331 | 1174.156096027131
 |  | 416.0925219060431 | 959.7285118443558 | 275.8328035724871 | 604.4225554168688 | 2256.076392739755
 |  | 238.3565295291449 | 243.4356045908543 | 981.0299732216674 | 770.6190993601399 | 2233.441206701807
 |  | 740.1869472820975 | 583.8988905204753 | 189.3958060044824 | 17.06485180142236 | 1530.546495608477
 |  |  | 2450.573854947022 | 2215.422006872698 | 2335.45954306012
Spreadsheet: 226025d1365210222-continuing-number-sequences-with-lines-navdatawithrequiredresult
Sheet: navdata

REQUIRED RESULT | OLD DATA
5 | 1 | [NAME] |  | Z999 | H |  | AUS | 47.400011 | 10.479875 |  | 5
4 | 2 | BEMKI |  | Z999 | H |  | AUS | 47.5595 | 10.3055 |  | 5
3 | 3 | KPT |  | Z999 | H |  | AUS | 47.745775 | 10.349833 |  | 3
19 | 1 | LUB |  | Z998 | H |  | AUS | 53.940742 | 10.667786 |  | 3
18 | 2 | RAMAR |  | Z998 | H |  | AUS | 53.710833 | 10.938834 |  | 5
17 | 3 | NUSGU |  | Z998 | H |  | AUS | 53.266667 | 11.388667 |  | 5
16 | 4 | [NAME] |  | Z998 | H |  | AUS | 53.148667 | 11.569667 |  | 5
15 | 5 | PITEN |  | Z998 | H |  | AUS | 52.99 | 11.811333 |  | 5
14 | 6 | BIRMO |  | Z998 | H |  | AUS | 52.872167 | 12.068667 |  | 5
13 | 7 | RATMO |  | Z998 | H |  | AUS | 52.705333 | 12.429667 |  | 5
12 | 8 | NISGA |  | Z998 | H |  | AUS | 52.2495 | 12.876167 |  | 5
11 | 9 | GODUR |  | Z998 | H |  | AUS | 51.8305 | 13.279667 |  | 5
10 | 10 | OSKAN |  | Z998 | H |  | AUS | 51.460833 | 13.627833 |  | 5
3 | 1 | RATMO |  | Z997 | H |  | AUS | 52.705333 | 12.429667 |  | 5
2 | 2 | SUI |  | Z997 | H |  | AUS | 52.379856 | 14.585603 |  | 3
11 | 1 | NOBTO |  | Z994 | H |  | AUS | 23.923611 | 55.311111 |  | 5
10 | 2 | [NAME] |  | Z994 | H |  | AUS | 24.316667 | 54.733333 |  | 5
9 | 3 | TOXIG |  | Z994 | H |  | AUS | 24.533333 | 53.917222 |  | 5
8 | 4 | DASLA |  | Z994 | H |  | AUS | 24.629722 | 53.546667 |  | 5
7 | 5 | VEBAT |  | Z994 | H |  | AUS | 24.808333 | 52.85 |  | 5
6 | 6 | BUNDU |  | Z994 | H |  | AUS | 25.006667 | 52.49 |  | 5
13 | 1 | HLZ |  | Z990 | H |  | AUS | 52.363395 | 10.79522 |  | 3
12 | 2 | DIRBO |  | Z990 | H |  | AUS | 52.832167 | 10.844167 |  | 5
11 | 3 | IRKIS |  | Z990 | H |  | AUS | 53.248833 | 10.888667 |  | 5
10 | 4 | ABMAL |  | Z990 | H |  | AUS | 53.442 | 10.912 |  | 5
9 | 5 | RAMAR |  | Z990 | H |  | AUS | 53.710833 | 10.938834 |  | 5
8 | 6 | [NAME] |  | Z990 | H |  | AUS | 54.113889 | 10.983611 |  | 5
7 | 7 | MIC |  | Z990 | H |  | AUS | 54.305461 | 11.005186 |  | 3
3 | 1 | RIMKI |  | [NAME] | H |  | AUS | 49.748833 | 9.363833 |  | 5
2 | 2 | LOHRE |  | [NAME] | H |  | AUS | 50.067 | 9.486333 |  | 5
9 | 1 | FER |  | Z982 | H |  | AUS | 44.8145 | 11.616333 |  | 3
8 | 2 | GIPUK |  | Z982 | H |  | AUS | 44.588611 | 11.966667 |  | 5
7 | 3 | RIBKI |  | Z982 | H |  | AUS | 44.514722 | 12.080833 |  | 5
6 | 4 | DITUM |  | Z982 | H |  | AUS | 44.405833 | 12.247222 |  | 5
5 | 5 | BAKEP |  | Z982 | H |  | AUS | 44.176944 | 12.594722 |  | 5
Spreadsheet: 68679d1d-6391-4c9b-a111-ebd085c0ddbd
Sheet: 6

 | Jul 26 |  | Aug 2 |  | Aug 9 |  | Aug 16
 | Long | Short | Long | Short | Long | Short | Long | Short
Total Interest Rate* | 84500 | 84500 | 84500 | 84500 | 84500 | 84500 | 84500 | 84500
SD/MSPs** | N/A*** | N/A | N/A | N/A | N/A | N/A | N/A | N/A
Financials | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
End Users | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
Total Cross-Currency | 3500 | 3500 | 3500 | 3500 | 3500 | 3500 | 3500 | 3500
SD/MSPs | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
Financials | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
End Users | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
Total Credit | 105000 | 105000 | 105000 | 105000 | 105000 | 105000 | 105000 | 105000
SD/MSPs | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
Financials | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
End Users | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
Total Equity | 25000 | 25000 | 25000 | 25000 | 25000 | 25000 | 25000 | 25000
SD/MSPs | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
Financials | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
End Users | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
Total Other Commodity | 105000 | 105000 | 105000 | 105000 | 105000 | 105000 | 105000 | 105000
SD/MSPs | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
Financials | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
End Users | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
Weekly total, estimated swap event volumes by asset class and participant type (in number of events), all products and tenors, cleared and uncleared.
Estimates of weekly event volumes are derived from data published in the 2012 ISDA Operations Benchmarking Survey which defines an "event" as a new trade, confirmable amendment, partial or full termination, increase, decrease, or novation.
*See Data Dictionary for asset class descriptions.
**See Explanatory Notes for participant type descriptions.
***N/A indicates that data are not currently available.
The Commission requests feedback on the format and content of this CFTC Swaps Report table. Submit comments to [EMAIL]
Spreadsheet: d1a45297-dce9-4b5c-a643-a1f7faa2477c
Sheet: Sheet1

LABEL | UPC | ARTIST | TITLE | RELEASEDATE | PRODUCTTYPE | GENRE | PRICE | [NAME] | STATUS
Word Records | 80689460623 | Sara Groves | One Thing I Know, The | 2004-05-21 | Studio Series 3-Key CD Trax | Na | 9.99 | N | To Be Retired
Spreadsheet: 171681d1343824934-duplicate-data-to-another-xls-file-automatically-copy
Sheet: ___RS____

1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | Suma recunoscuta | 9 | PF [NAME] /CA companie de asigurari | 10 | 11
897 | 2011-11-25 00:00:00 | 2011 | SURE | CVN730 | 301636.4 | CA | Nr.941-2011 din 07.12.11 |  | 245340.16 |  | 2012-01-06 00:00:00 | 2012
905 | 2011-11-29 00:00:00 | 2011 | [NAME] | CPJ933 | 3180 | SIMPLEX | Nr.146-2012 din 27.02.12 |  |  |  |  | 2012
909 | 2011-11-29 00:00:00 | 2011 | SRL | CNS900 | 1709 | ASTO | Nr.199-2012 din 23.03.12 |  | 1709 |  | 2012-04-03 00:00:00 | 2012
915 | 2011-11-30 00:00:00 | 2011 | LIFT | CHA005 | 1896 | SARVEX | Nr. 300-2012 din 04.05.12
Spreadsheet: 1c238db8-173c-498c-9563-f4eb6bbf25d2
Sheet: 14d

 | Swap Dealers/MSPs5 |  |  | Others
Product1 | HY6 | IG | Other | HY | IG | Other
Index Tranche | 7 | 7 | 6 | 1 | 1 | 0
Index | 1671 | 1854 | 3745 | 3576 | 2228 | 3770
OTHER* | 0 | 0 | 34 | 0 | 0 | 24
TOTAL | 1678 | 1861 | 3785 | 3577 | 2229 | 3794
*OTHER variable includes exotic credit products, swaptions, and total return swaps.