tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 75582d1276122938-excel-2007-overall-average-percentages-averages
Sheet: Sheet1

 | objectives met | useful content | effective handouts | knowledge instructor | understand ideas | active participation | A/V enhanced learning | Overall effective | Total
Total | 205 | 271 | 210 | 242 | 273 | 255 | 272 | 252 | 1980
Rating |  |  |  |  |  |  |  |  |  | % of Total
5 | 31 | 40 | 32 | 37 | 42 | 34 | 45 | 39 | 300 | 0.6896551724137931
4 | 10 | 15 | 9 | 12 | 14 | 17 | 6 | 12 | 95 | 0.2183908045977012
3 | 2 | 1 | 3 | 1 | 1 | 4 | 7 | 3 | 22 | 0.05057471264367816
2 | 2 | 4 | 2 | 3 | 2 | 2 | 1 | 0 | 16 | 0.0367816091954023
1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 | 0.004597701149425287
 |  |  |  |  |  |  |  |  | 435
Spreadsheet: 839805d1692234441-copy-rows-from-one-tab-to-another-where-one-condition-is-met-elog-copy-b-units
Sheet: B-Units

 | DATE | SALES PERSON | CUSTOMER | STOCK NUMBER | BONUS 1 | BONUS 2 | BONUS 3 | FINANCE / CASH | REVIEW?
Spreadsheet: 13464025-9252-4e14-bacb-e0a81f50dbb5
Sheet: Sheet1

 | EAST TEXAS BAPTIST UNIVERSITY
 | Employee Evaluation
 | Employee |  |  |  |  |  |  | Evaluation Period:
 | Department |  |  |  |  |  |  | 5/1/13 to 5/1/14
 | Position
 | Supervisor
 | Indicate the level of competence in each objective below based on the following ratings.
 | 1- Poor | 2-Needs improvement  3-Meets expectations   4-Above average   5-Excellent
 | Evaluation of position responsibilities
 | Objectives from employee position guide.  No. of objectives. |  |  |  |  |  |  |  |  | Rating
 | Supervisor comments may be made on pages 2 and 3 concerning the above objectives.
 | EAST TEXAS BAPTIST UNIVERSITY
 | Employee Evaluation
 | Evaluation of performance
 | Employee remains on task and completes assignments as required.
 | Employee follows instructions and observes policies and procedures.
 | Employee works well with co-workers on the job.
 | Employee has the knowledge, skill, and abilities for successful job performance.
 | Employee is punctual for work, meetings, and appointments.
 | Summary
 | Evaluation of position responsibilities
 | Evaluation of performance
 | Employee's overall performance
 | If employee rating indicates "poor" or "needs improvement," specify actions needed in order
 | to improve job performance.  Additional space is provided on page 3.
 | The signatures below indicate that this Employee Evaluation has been reviewed by
 | both parties. |  | The employee's signature does not indicate agreement with the ratings
 | or comments.  Employee comments may be written in the bottom section of page 3.
 | Employee |  |  |  | Date
 | Supervisor |  |  |  | Date
 | EAST TEXAS BAPTIST UNIVERSITY
 | Employee Evaluation
 | Comments concerning evaluation of objectives from page 1 (continued from page 2).
 | Personal goals for next year.
 | Additional comments by employee or supervisor.
Spreadsheet: 679039d1590160630-how-to-sum-multiplies-of-2-columns-but-only-of-their-every-4th-rows-in-one-formula-sum
Sheet: Sheet1

COUNT | MEALS |  | ONION g.
2 | MEAL1 | g. | 100
 |  | cal.
1 | MEAL2 |  | 200
 |  | cal.
2 | MEAL3 | g. | 100
 |  | cal
 | TOTAL mass g.: |  |  | A2*D2+A5*D5+A8*D8
 |  |  |  | I don't want to write this formula by hand for 1000 lines
 |  |  |  | Is this possible to write using short formula for selected range of rows without using VBA?
Spreadsheet: 111705d1308040178-vlookup-in-multiple-sheets-vlookup-in-multiple-sheets
Sheet: Total

CompanyName | websites | employeerange | RevenueRange | state
Company 8 | 8 | 107 | 207 | 307 |  |  | Sheet Names
Company 109 | 1009 | 2009 | 3009 | 4009 |  |  | $10-50M
Company 215 | 10015 | 20015 | 30015 | 40015 |  |  | $50-100M
Company 318 | 5018 | 6018 | 7018 | 8018 |  |  | $100-250M
 |  |  |  |  |  |  | $250-500M
Spreadsheet: 3b1ff14c-79a5-453f-bf0b-d3ca663c9ff1
Sheet: CAT-Home

[NAME] | CAT-Home
Catastrophe Model Information
Hurricane Model(s) used
Confirm long term version(s) used
Confirm warm water version(s) not used
Confirm storm surge not included
Confirm tropical storms/depressions not included or, if included, that these have been excluded from the historical loss data included in the indication calculation
Provide impact of demand surge (loss amplification) on modeled results
Identify location of output report(s) within filing
Identify and explain any secondary modifiers used on input data (Yes/No).  If Yes, then provide additional documentation of said modifiers and their impacts as well as the location of this documentation within the filing in the cell to the right.  If No, then explain why secondary modifiers were not used (particularly with respect to building codes) and provide justification for this decision as well as its impact on loss costs.
Other Than Hurricane Model(s) used
Identify and explain any adjustments made to the model(s) and/or the model output (Yes/No).  If Yes, then provide additional documentation of said adjustments as well as the location of this documentation within the filing in the cell to the right.  Note applicability of each adjustment to each model used.
Individual who was relied upon and is responsible for the catastrophe model(s) used (Name, [NAME], and Contact Information)
[NAME]
Current total catastrophe load %
Previous total catastrophe load %
Provide basis for calculation
Explain difference in % amounts
Insurer Notes:
Notes:
1. See SC Bulletin 2014-03 for additional requirements
2.  Hurricane models approved for use in South Carolina:
- AIR Atlantic Tropical Cyclone Model v. 12.0.1 and v. 14.0.1
- ARA HurLoss v. 6.0 (only if criteria in SC Bulletin 2014-03 met - see Footnote 2, Page 3)
- EQECAT WORLDCATenterprise v. 3.13 and v. 3.16
- EQECAT Risk Quantification and [NAME] v. 14
- RMS RiskLink v. 11.0 SP3a
If using an unapproved model, then explain why and discuss differences between approved and selected models as well as impact of selection on loss costs and indication calculation.  Also provide approval and expiration date set by the Florida Commission on Hurricane Loss Projection Methodology.
3.  Short term, etc. and warm water, etc. hurricane model versions not allowed
4.  Storm surge not allowed to be included unless flood coverage is provided
5. Output report(s) to include for hurricane models:
- AIR Models - Analysis Log
- ARA Models - Analysis Summary Report
- EQECAT Models - Exposure Report; Probabilistic Report; Event Loss Table Report
- RMS Models - Analysis Summary Report for FCHLPM
Spreadsheet: darrell_schoolcraft__7779__imbalsumm0106
Sheet: NGPL

 | 52862 |  | 6828
 | Measured | Scheduled | Measured | Scheduled | Imbalance
1 | 63620 | 62288
2 | 56372 | 62291 | -749
3 | 56757 | 62291
4 | 62916 | 62291
5 | 66527 | 69603
6 | 60881 | 59228
7 | 60973 | 59228 | -12
8 | 61228 | 59228
9 | 51852 | 53798 | -15295 | -29491
10 | 55568 | 53798 | -60555 | -29491
11 | 56114 | 54900 | -67464 | -29491
12 | 53935 | 52158 | -9550
13 | 51646 | 52228
14 | 53995 | 52228
15 | 38248 | 45095 | -14
16 | 46431 | 46669 | -3
17 | 47069 | 45335
18 | 48894 | 47151
19 | 30288 | 46579 | -1
20 | 44927 | 47422 | -9
21 | 43376 | 47363
22 | 54059 | 52369 | -2777
23 | 50553 | 48688 | -9
24 | 54209 | 52443
25 | 49013 | 47225
26 | 50651 | 48913 | -10
27 | 67164 | 65449 | -1
28
29
30
31
2001-05-31 00:00:00
2001-06-27 00:00:00
Spreadsheet: 678962d1590142220-extracting-data-from-a-table-example-table
Sheet: Sheet1

 | Height |  | Length |  |  |  |  | Length
 | 0.01 |  | 0.007 |  |  |  |  | 0.004 | 0.006 | 0.008 | 0.01 | 0.012 | 0.014
 |  |  |  |  |  | height | 0.01 | 1 | 2 | 1 | 4 | 6 | 2
 |  |  |  |  |  |  | 0.02 | 2 | 3 | 2 | 7 | 7 | 4
 |  |  |  |  |  |  | 0.03 | 3 | 5 | 3 | 8 | 8 | 7
 |  |  |  |  |  |  | 0.04 | 4 | 6 | 4 | 10 | 9 | 8
 | = |  |  |  |  |  | 0.05 | 5 | 7 | 5 | 23 | 10 | 10
 |  |  |  |  |  |  | 0.06 | 6 | 8 | 6 | 12 | 24 | 23
 |  |  |  |  |  |  | 0.07 | 7 | 9 | 7 | 22 | 66 | 12
 |  |  |  |  |  |  | 0.08 | 8 | 10 | 8 | 22 | 77 | 22
Spreadsheet: 539870d1506413498-sum-using-multipul-vookup-mz-sales-budget-plan-2018-working
Sheet: 62745

SO Khanewal | Plan FY | Actual YTD | [NAME] | 4Q OL | [NAME] | [NAME]
[PHONE] PRINTING/STATIONERY | 0 | 1171
[PHONE] REPRODUCTION CHG | 2000 | 308
[PHONE] POSTAGE CHG | 4000 | 2137
[PHONE] TELEPHONES CHG | 17000 | 21757
[PHONE] INTERNET USAG CHG | 20000 | 13500
[PHONE] RECOV FOR PVT.TEL | 0 | -1196
[PHONE] LOCAL-BUSS TRAVEL | 20000 | 32300
[PHONE] REGIS & TAXES | 3000 | 1500
[PHONE] POL & SERVICES | 160000 | 118991.47
[PHONE] REP  PARTS & ACCESS | 20000 | 24307
[PHONE] PRIVATR MILEAGE | -20000 | -13614
[PHONE] OTHERS-GR/PR EXP. | 3000 | 0
[PHONE] BUS. MEETING & ENT. | 6000 | 3850
Spreadsheet: 119943d1314879400-inserting-rows-across-sheets-komet12_testing
Sheet: Team_Meeting

 |  | Last Name | First Name | Occp | Dept | Team | Shift | GMIN | BPD | [NAME] | Interview | Math | Written | Comments | Test Taken On:
Spreadsheet: 96881d1296140631-normalize-datasets-data-normalisation
Sheet: Test Row 2

6
Method = ping | 1 |  | Method = ping | Title = [NAME] | egenskap1 = hi | egenskap2= bye | egenskap3=banana
Title = [NAME] | 1 |  | Method = ping | Title = something | egenskap1 = hei | [NAME]
egenskap1 = hi | 1 |  | Method = ping | Title = else | egenskap1 = hei | [NAME] | egenskap3=banana | egenskap4=mustard | egenskap5=ketchup
egenskap2= bye | 1 |  | Method = ping | Title = [NAME] | egenskap1 = hi | egenskap2= bye | egenskap3=banana
egenskap3=banana | 1 |  | Method = ping | Title = something | egenskap1 = hei | [NAME]
 | 1 |  | Method = ping6 | Title = else6 | egenskap1 = hei6 | egenskap2= hadet6 | egenskap3=banana6 | egenskap4=mustard6 | egenskap5=ketchup
Method = ping | 2
Title = something | 2
egenskap1 = hei | 2
[NAME] | 2
 | 2
Method = ping | 3
Title = else | 3
egenskap1 = hei | 3
[NAME] | 3
egenskap3=banana | 3
egenskap4=mustard | 3
egenskap5=ketchup | 3
 | 3
Method = ping | 4
Title = [NAME] | 4
egenskap1 = hi | 4
egenskap2= bye | 4
egenskap3=banana | 4
 | 4
Method = ping | 5
Title = something | 5
egenskap1 = hei | 5
[NAME] | 5
 | 5
Method = ping6 | 6
Title = else6 | 6
egenskap1 = hei6 | 6
egenskap2= hadet6 | 6
egenskap3=banana6 | 6
egenskap4=mustard6 | 6
egenskap5=ketchup | 6
 | 6
Spreadsheet: 109539d1306363840-preventing-column-duplicates-unless-specific-condition-loadtracking-2-
Sheet: Sheet1

Date of Movement | Serial # | Origin | Destination
2011-04-19 00:00:00 | 278-10 | SiteA | SiteB
2011-04-19 00:00:00 | 279-10 | SiteA | SiteB
2011-04-20 00:00:00 | 276-10 | SiteA | [NAME]
2011-04-20 00:00:00 |  | SiteB | [NAME] |  | 278-10 |  |  | try entering these serial#'s in B8 and B9
2011-04-26 00:00:00 |  | SiteA | [NAME] |  | 279-10
2011-04-26 00:00:00 | 274-10 | SiteA | [NAME]
I want to prevent duplicates in column B unless the load does not deliver to [NAME] (column D). If the load is moving from SiteA to [NAME], no duplicates allowed, but if delivering to SiteB, then there will be another instance where the load will have to move from SiteB to [NAME], therefore 1 duplicate is allowed. A
Spreadsheet: 707608d1607362636-dollar-sign-issue-excel-formula-dollar-sign-1-
Sheet: Sheet1

a | 1 | . | as | 11 | ,,
b | 2 | , | at | 22 | ..
c | 3 | > | au | 33 | ;;
d | 4 | ] | av | 44 | @@
e | 5 | [ | aw | 55 | --
[NAME] for Each Row
A2
$A$2
A$2
$A2
 | Expected Result
Spreadsheet: 148396d1333386915-creating-a-report-to-show-vehicle-tax-due-tax-disc-log
Sheet: BL02 UXS

 |  |  |  |  | BL02 UXS
Registration number : | BL02 UXS |  | Date Taxed | Duration | Tax Expiry  Date | Cost (£)
Manufacturer : | DAF |  | 2008-02-29 00:00:00 | 12 Months | 2009-03-01 00:00:00 | 650
Specification : | 4 x 2 RCT (2 Axle) |  | 2009-02-27 00:00:00 | 12 Months | 2010-03-01 00:00:00 | 650
Type : | FALF55.220 |  | 2010-02-26 00:00:00 | 12 Months | 2011-03-01 00:00:00 | 650
1st Registered : | 10.08.02 |  | 2011-02-28 00:00:00 | 12 Months | 2012-03-01 00:00:00 | 650
Engine : | DAF 5.9 litre (220 BHP) |  | 2012-02-29 00:00:00 | 12 Months | 2013-03-01 00:00:00 | 650
[NAME] : | 18,000kg
Back To Index
Spreadsheet: louise_kitchen__22560__DeAcero Advantages
Sheet: Advantages

 | Import Project
 | Analysis of Advantages and Risks
 | Advantages
• | Contract of only 15 years
• | Price security for budgeting purposes
• | Prices comparable to a 250 MW plant
• | Opportunity to resell into the ERCOT market
• | The contract is tied to a market not just one plant - minimize operation risk
• | Commercial Operation Date sooner than if you built a power plant
• | Security of energy supply
• | No physical gas supply risk
• | Flexibility to terminate the contract within the 15 years
• | Savings of $70 MM with a $3.50 / MMBtu gas price
• | An "Upside" of $8-$10 MM of savings for every $1.00/MWh drop in the wheeling price
 | Risks | Comments
 | Cost of wheeling increases in the next 5 years. | With the demand increasing at the borde, all of the generation in that area will be consumed in that area. That means that there is more of a probability that the wheeling will lower in 5 years because the flow of energy will be going towards the border.
 | Price of Gas | This risk can be hedged using risk management products
 | Peso devaluation | If there is a devaluation, the CFE price should increase.  The fuel component of the tariff would need to be adjusted to take into account the US based indices and the inflation component of the tariff would also be adjusted.  The prices of the Import Pro
 | CFE continues to subsidies the energy price | In the recent news it is clear that the CFE cannot support subsidies at the level that they have been.  Although they might not get rid of the subsidies all together, it is most probable that they will need to reduce the subsidies and increase the tariffs
 | Mexico has sufficient generation in the future to meet the increase in demand | Under conservative scenarios of the Secretary of Energy, Mexico needs to increase the installed capacity from 35,000 MW to about 56,000 MW in the next 8 years.  This means that more than 2,200 MW will need to be installed and in operation for every year i
 | The prices of electricity increase
 | Conclusion
 | The largest companies in Mexico have or are taking their future energy needs into their own hands.  All the projects that are being developed in the market are tied to a physical plant and most are contracted for 25 year terms.  The contracts are also mor
 | Alfa, Cemex, Vitro, IMSA, Apasco, Peñoles, Kimberly-Clark, ISPAT, Copamex, [NAME], Mexichem, FEMSA, Kaltex
Spreadsheet: 0468a8c4-3c5b-4f7f-80ee-c6375314da25
Sheet: Sheet1

title | description
# | All motifs are shown in decreasing order of significance (based on the maximum negative log10 (p-value) for 5’, coding sequence, or 3’ region) with motifs included in Figure 7 appearing in bold
Name | Associated RBP, with suffixes discriminating multiple motifs predicted for each RBP in decreasing order of significance
Region | Describes if motifs were predicted from upstream (US) or downstream (DS) target sequences
Program | Describes whether REFINE or FIRE identified the motif
Consensus | Consensus sequences summarizing base preferences are shown for each motif
5' | The negative log10 (p-value) of the significance of genome-wide enrichment (based on the hypergeometric distribution) for sequences containing motif sites in targets for 200 bases upstream of start codon
CDS | The negative log10 (p-value) of the significance of genome-wide enrichment (based on the hypergeometric distribution) for sequences containing motif sites in targets coding sequences
3' | The negative log10 (p-value) of the significance of genome-wide enrichment (based on the hypergeometric distribution) for sequences containing motif sites in targets for 200 bases downstream of stop codon
Strand | Indicates the negative log10 (p-value) for genome-wide enrichment of the reverse complements for each motif, based on the hypergeometric distribution
Cons | Indicates the negative log10 (p-value) measuring whether motif sites in targets are more likely to be conserved as motifs in orthologous sequence alignments in S.bayanus, than are sites occurring in non-targets, based on the hypergeometric distribution
Class | Indicates which redundancy group, if any, motifs were assigned to based on similarity of motif sequences and origins
Figure 5 Inclusion | Indicates which motifs were presented in Figure 5, and an explanation for excluded motifs
Target List | Indicates which RBP target file was used for motif analysis
Spreadsheet: 479cd3b0-4a17-43ad-9d0f-092893654aa8
Sheet: Sheet1

BIOL 201   BIODIVERSITY   TENTATIVE COURSE SCHEDULE - Fall 2013 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7
WEEK | DATE |  |  | TOPIC | read | Future of Life  E.O. Wilson | LAB
9 | OCTOBER | M | 14 | VIRUSES | 323-329
 |  | T | 15 |  |  |  | Botanical Center Visit
 |  | W | 16
 |  | F | 18 | FALL BREAK
10 |  | M | 21 | BACTERIA & ARCHAEA & PROTISTS | 330-375
 |  | T | 21 |  |  | To the Ends of Earth | campus walk observe, classify
 |  | W | 23
 |  | F | 25
11 |  | M | 28 | EXAM 1
 |  | T | 29 | lab - bacteria & protists |  | The Bottleneck | laboratory exploration bacteria & protists
 |  | W | 30 | PLANTS | 358-377
 | NOVEMBER | F | 1
12 |  | M | 4
 |  | T | 6 | lab - plants |  | Nature's Last Stand | laboratory exploration  plants
 |  | W | 6 | FUNGI | 378-391
 |  | F | 8
13 |  | M | 11
 |  | T | 12 | lab - fungi |  | The Planetary Killer | laboratory exploration  fungi
 |  | W | 13 | INVERTEBRATES | 392-417
 |  | F | 15
14 |  | M | 18
 |  | T | 19 | lab - invertebrates |  | How much is the  [NAME]? | laboratory exploration invertebrates
 |  | W | 20 | VERTEBRATES | 418-451
 |  | F | 22
15 |  | M | 25
 |  | T | 26 | HUMAN IMPACT ON THE BIOSPHERE | 876-893 | For the Love of Life | Future of Life
 |  | W | 27 | THANKSGIVING BREAK
 |  | F | 29
16 | DECEMBER | M | 2 | HUMAN IMPACT ON THE BIOSPHERE | 876-893 | The Solution
 |  | T | 3 | zoo visit |  |  | Zoo Visit
 |  | W | 4 | ORAL PRESENTATIONS
 |  | F | 6
17 |  | T | 10 | COMPREHENSIVE FINAL EXAM Tuesday Dec 10 @ 10:20-12:20
Spreadsheet: 884490d1733707309-budget-adjustment-as-per-target-values-budgetadjustment-jt-1-
Sheet: JT (2)

CURRENT SITUATION |  |  |  | Max of Column B&C + Column D |  | REQUIRED VALUES |  |  |  |  |  |  |  | Cumulative | Cumulative ETC | Current Total | Final | Combined
GROUP | PO_VALUE | ACTUALS | ETC | EAC |  | PO_VALUE | ACTUALS | ETC | EAC |  | CHECK |  |  | ETC | excl current value | - Target | ETC | [NAME]
A | 100 | 0 | 200 |  |  | 100 | 0
B | 200 | 0 | 200 |  |  | 200 | 0
C | 0 | 100 | 0 |  |  | 0 | 100
D | 100 | 200 | 0 |  |  | 100 | 200
A | 500 | 200 | 0 |  |  | 500 | 200
B | 0 | 400 | 100 |  |  | 0 | 400
C | 200 | 0 | 100 |  |  | 200 | 0
D | 0 | 100 | 0 |  |  | 0 | 100
A | 0 | 0 | 1000 |  |  | 0 | 0
B | 500 | 200 | 0 |  |  | 500 | 200
C | 100 | 200 | 0 |  |  | 100 | 200
D | 500 | 200 | 1000 |  |  | 500 | 200
 |  |  |  | Current Total |  |  | Target |  | Current Total | DELTA |  | Required Adjustment
A |  |  |  |  |  |  | 1600
B |  |  |  |  |  |  | 1200
C |  |  |  |  |  |  | 500
D |  |  |  |  |  |  | 2000
Total
 |  |  |  |  |  | I need a formula in Column I (ETC) as highlighted to meet the target value by Group
 |  |  |  |  |  | PO_Value and Actuals should not be changed
 |  |  |  |  |  | EAC value should be greater than or equal to maximum of PO_Value or Actuals
Spreadsheet: 134462d1325304527-function-and-percentage-issue-population-breakdown-r2-
Sheet: Sheet1

Name | MEN | WOMEN | TOTAL
ATHENS | 3000000 | 4000000 | 7000000 |  |  |  |  | 0.5
PATRA | 150000 | 100000 | 250000
THESSALONIKI | 1500000 | 1750000 | 3250000
[NAME] | 15000 | 30000 | 45000
GIANNENA | 50000 | 10000 | 60000
[NAME] | 300 | 500 | 800
Κ.Δ DESPHINA | 700 | 600 | 1300
RETHYMNO | 17000 | 16000 | 33000
Κ.Δ PYLI | 15000 | 13000 | 28000
 |  | LOCATIONS WITH FEMALES > MALES |  | LOCATIONS WITH MALES > FEMALES |  | City MID(CityTown,3,1)<>"Δ" |  | VILLAGE  MID(CityTown,3,1)="Δ"
ATHENS |  | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0
PATRA |  | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0
THESSALONIKI |  | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0
[NAME] |  | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 X 1 =1
GIANNENA |  | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 |  | 1 + 1 = 2
[NAME] |  | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 X 1 =1
Κ.Δ DESPHINA |  | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 1
RETHYMNO |  | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0
Κ.Δ PYLI |  | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 1
 |  | 2 |  | 3 |  |  |  |  | 4
Spreadsheet: 0bcd5ad7-934f-4994-970e-0b8702bcabb7
Sheet: 11c

Product | AUD** | CAD | CHF | DKK | KRW | NOK | NZD | SEK | ZAR | TOTAL
Basis* | <100 | <100 | <100 |  |  |  |  |  |  | <100
FRA |  |  |  | 612 |  | <100 |  | 908 |  | 1520
IRS- [NAME] | 1202 | 796 | 326 | <100 |  | <100 | 284 | 340 | 440 | 3388
OIS |  | <100 | <100 |  |  |  |  |  |  | <100
VNS
Zero Coupon
TOTAL | 1202 | 796 | 326 | 612 |  | <100 | 284 | 1248 | 440 | 4908
Estimated swap transaction volumes, week ending May 24, by product type and major currency (number of trades), 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 major 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: craig_dean__4367__1-14act
Sheet: EPEData

 | 37366.96111111111
 | NEWMAN 1 ,UNAV, -0  , 75  , 39  , 83  ,  0  ,1
 | NEWMAN 2 ,ECON, 34  , 75  , 34  , 83  , 41  ,1
 | NEWMAN 3 ,ECON, 38  ,100  , 35  ,103  , 40  ,1
 | NEWMN/GT1,UNAV,  0  , 60  , 18  , 60  ,  0  ,1
 | NEWMN/GT2,UNAV,  0  , 60  , 18  , 60  ,  0  ,1
 | NM/GT1+ST,UNAV,  0  ,100  , 61  ,107  ,  0  ,1
 | NM/GT2+ST,UNAV,  0  ,100  , 66  ,107  ,  0  ,1
 | NEWMAN 4 ,ECON,132  ,215  , 86  ,214  , 81  ,1
 | NEWMAN   ,, 204 ,  390,  155, 400 , 163 ,
 | COPPER   ,[NAME], -0  , 69  , 15  , 69  ,  0  ,1
 | RIOGRAN 6,AVAL,  0  , 47  , 29  , 48  ,  0  ,1
 | RIOGRAN 7,AVAL,  0  , 38  , 32  , 49  ,  0  ,1
 | RIOGRAN 8,UNAV,  0  ,121  , 36  ,151  ,  0  ,1
 | RIOGRANDE,,   0 ,    0,    0,   0 ,   0 ,
 | PALOVERDE,MANL,603  ,600  ,600  ,600  ,  0  ,1
 | FOURCRNRS,MANL, 52  , 52  , 52  ,104  ,  0  ,1
 | LAMBDA, 19.95,  680,  679,  158,    0,    0,10018,0
 | APS     ,FIRM    ,FC,  ,  25,  25
 | IID     ,FIRM    ,PV,  ,  95,  70
 | PGT     ,LOSS    ,LC,  ,  -1,  -2
 | PNM     ,LOSS    ,WM,  ,   3,   3
 | SRP     ,LOSS    ,PV,  ,   4,   4
 | TNP     ,FIRM    ,HI,  ,  55,  55
 | TNP     ,LOSS    ,AM,  ,  -2,  -2
 | SRP     ,LOSS    ,PV,  ,   4,   4
 | TNP     ,LOSS    ,AM,  ,  -2,  -2
 | CISO    ,FIRM    ,PV,  ,  78,   0
 | TNP     ,LOSS    ,AM,  ,  -2,  -2
 | WAPA    ,PASS    ,WM,HO,  -1,  -1
 | 37300.62986111111
 | NEWMAN 1 ,UNAV, -0  , 75  , 39  , 83  ,  0  ,1
 | NEWMAN 2 ,MANL, 39  , 75  , 34  , 83  ,  0  ,1
 | NEWMAN 3 ,ECON, 38  ,100  , 35  ,103  , 40  ,1
 | NEWMN/GT1,UNAV,  0  , 60  , 18  , 60  ,  0  ,1
 | NEWMN/GT2,UNAV,  0  , 60  , 18  , 60  ,  0  ,1
 | NM/GT1+ST,UNAV,  0  ,100  , 61  ,107  ,  0  ,1
 | NM/GT2+ST,UNAV,  0  ,100  , 66  ,107  ,  0  ,1
 | NEWMAN 4 ,ECON,174  ,215  , 86  ,214  , 41  ,1
 | NEWMAN   ,, 251 ,  390,  155, 400 ,  81 ,
 | COPPER   ,[NAME], -0  , 69  , 15  , 69  ,  0  ,1
 | RIOGRAN 6,AVAL,  0  , 47  , 29  , 48  ,  0  ,1
 | RIOGRAN 7,AVAL,  0  , 38  , 32  , 49  ,  0  ,1
 | RIOGRAN 8,UNAV,  0  ,121  , 36  ,151  ,  0  ,1
 | RIOGRANDE,,   0 ,    0,    0,   0 ,   0 ,
 | PALOVERDE,MANL,603  ,600  ,600  ,600  ,  0  ,1
 | FOURCRNRS,MANL, 51  , 51  , 51  ,104  ,  0  ,1
 | LAMBDA, 23.51,  798,  796,   80,   -3,    0,11060,21
 | APS     ,STRT    ,FC,  ,   1,   1
 | IID     ,EXCS    ,FC,  ,  50,  50
 | IID     ,FIRM    ,PV,  , 100, 100
 | LDWP    ,ECON    ,PV,  ,  80,  80
 | PGT     ,LOSS    ,PV,  ,  -1,  -1
 | PNM     ,CNTG    ,LC,  ,  11,  11
 | PNM     ,LOSS    ,LC,  ,   2,   2
 | SPS     ,FIRM    ,WM,  ,-103,-103
 | SRP     ,FIRM    ,ED,  ,  25,  25
 | SRP     ,LOSS    ,PV,  ,   1,   1
 | TNP     ,FIRM    ,PV,  ,  25,  25
 | TNP     ,LOSS    ,PV,  ,  -5,  -5
 | WAPA    ,PASS    ,WM,HO,  -1,  -1
Spreadsheet: 598976d1542810210-combining-countif-with-left-book1
Sheet: Sheet1

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