tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 153128d1335781921-matching-sample
Sheet: Book

Common_UCC | UCC | Name | Remark | FUND_LIMIT | NON_FUND_LIMIT | TOTAL_LIMIT | FUND | NON-FUND | TOTAL_BOOK | Group | Zone | State | REGIONAL HEAD | STATE HEAD | Program/StandAlone | Rating | Program | NPA_Flag | SOLE / MULTIPLE BANKING | FEE | NII
2641727 | 2641727 | ADSORBENT CARBONS PRIVATE LIMITED |  | 77.92774 | 32.5 | 110.42774 | 88.984438654 | 23.925 | 112.909438654 | SME | SOUTH | [NAME] | ANANDA KUMAR | GANESH R | Program Cases | NA | SMEAG-2 |  |  | 3.4001511297298 | -0.6634742596687057
Spreadsheet: 97fdc932-fcbd-4320-97d0-2dab2061e320
Sheet: Page 9

DIVISION OF WATER RESOURCES TAX CERTIFICATION & EXEMPTION APPLICATION |  |  |  |  |  |  |  |  |  | PAGE 9
Waste Treatment Systems & Equipment:  Waste treatment systems & equipment must be used exclusively for the abatement of water pollution |  |  |  |  |  |  |  |  |  | Rev 09/01/2013
For County Use Only |  | For DWR Use Only "A" Approved "D" Disapproved | Description of Waste Treatment Systems or Equipment | Was asset listed in the permit (Yes/No)           * | Asset Number, Vehicle Identification Number (VIN) | How is this equipment used for pollution abatement? | % of Use for Pollution Abatement | Year of Acquisition | Original Historical Cost** | Is this asset replacing a prior asset?
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Attach additional pages if necessary
*   If the asset is listed in the DWR permit, the description must be identical as listed on the current permit.  If the asset is not specifically listed in the DWR permit, the applicant must attach detailed information as to why the asset should qualify for Tax Certification.
** When certifying systems or equipment, DENR is not certifying the cost of the equipment or the year of acquisition.
Applicant |  |  |  |  | Title: |  |  | Date:
Signature |  |  |  |  | Of:
 |  |  | (print name also) |  |  | (Name of Applicant Business Entity)                                                                                                                                                             TC-WQ
NOTICE:  The penalty for false statement, representation or certification                              herein includes imprisonnment and/or the assessment of civil penalties.
Spreadsheet: 30733d1226420665-use-if-to-avoid-getting-anything-written-after-loan-pmt
Sheet: Kalkyl 12

 | Bankkonto | Kapital 1/1 |  | Bankkonto | Kapital 31/12 |  | Insättning | Räntesats
 | År1 | 887 |  | År1 | 940.22 |  | 887 | 0.06
 | År2 | 1827.22 |  | År2 | 1936.8532
 | År3 | 2823.8532 |  | År3 | 2993.284392
 | År4 | 3880.284392 |  | År4 | 4113.10145552 |  | Efter | Kronor
 | År5 | 5000.10145552 |  | År5 | 5300.107542851199 |  | 10år | 11691.36511389185
 | År6 | 6187.107542851199 |  | År6 | 6558.333995422271 |  | 45 år | 188703.4967323359
 | År7 | 7445.333995422271 |  | År7 | 7892.054035147607
 | År8 | 8779.054035147608 |  | År8 | 9305.797277256464 |  | Insättning | 887
 | År9 | 10192.79727725646 |  | År9 | 10804.36511389185 |  | Efter 5år | 5000.10145552
 | År10 | 11691.36511389185 |  | År10 | 12392.84702072536
 | År11 | 13279.84702072536 |  | År11 | 14076.63784196888
 | År12 | 14963.63784196888 |  | År12 | 15861.45611248702
 | År13 | 16748.45611248702 |  | År13 | 17753.36347923624
 | År14 | 18640.36347923624 |  | År14 | 19758.78528799041
 | År15 | 20645.78528799041 |  | År15 | 21884.53240526983
 | År16 | 22771.53240526983 |  | År16 | 24137.82434958602
 | År17 | 25024.82434958602 |  | År17 | 26526.31381056118
 | År18 | 27413.31381056118 |  | År18 | 29058.11263919485
 | År19 | 29945.11263919485 |  | År19 | 31741.81939754654
 | År20 | 32628.81939754654 |  | År20 | 34586.54856139934
 | År21 | 35473.54856139934 |  | År21 | 37601.9614750833
 | År22 | 38488.9614750833 |  | År22 | 40798.29916358829
 | År23 | 41685.29916358829 |  | År23 | 44186.41711340359
 | År24 | 45073.41711340359 |  | År24 | 47777.82214020781
 | År25 | 48664.82214020781 |  | År25 | 51584.71146862028
 | År26 | 52471.71146862028 |  | År26 | 55620.0141567375
 | År27 | 56507.0141567375 |  | År27 | 59897.43500614174
 | År28 | 60784.43500614174 |  | År28 | 64431.50110651024
 | År29 | 65318.50110651024 |  | År29 | 69237.61117290086
 | År30 | 70124.61117290086 |  | År30 | 74332.0878432749
 | År31 | 75219.0878432749 |  | År31 | 79732.23311387139
 | År32 | 80619.23311387139 |  | År32 | 85456.38710070368
 | År33 | 86343.38710070368 |  | År33 | 91523.9903267459
 | År34 | 92410.9903267459 |  | År34 | 97955.64974635065
 | År35 | 98842.64974635065 |  | År35 | 104773.2087311317
 | År36 | 105660.2087311317 |  | År36 | 111999.8212549996
 | År37 | 112886.8212549996 |  | År37 | 119660.0305302996
 | År38 | 120547.0305302996 |  | År38 | 127779.8523621175
 | År39 | 128666.8523621175 |  | År39 | 136386.8635038446
 | År40 | 137273.8635038446 |  | År40 | 145510.2953140753
 | År41 | 146397.2953140753 |  | År41 | 155181.1330329198
 | År42 | 156068.1330329198 |  | År42 | 165432.221014895
 | År43 | 166319.221014895 |  | År43 | 176298.3742757886
 | År44 | 177185.3742757886 |  | År44 | 187816.4967323359
 | År45 | 188703.4967323359 |  | År45 | 200025.7065362761
Spreadsheet: 853913d1703862443-auto-fill-cell-with-test
Sheet: Sheet1

State | Rate Per Hour | Hours | Total
BOS | 10 | 1
NYC | 20 | 1
CHI | 30 | 1
LAX | 50 | 1
BOS | 10 | 1
NYC | 20 | 1
CHI | 30 | 1 |  |  |  |  | BOS | 10
LAX | 50 | 1 |  |  |  |  | NYC | 20
BOS | 10 | 1 |  |  |  |  | CHI | 30
NYC | 20 | 1 |  |  |  |  | LAX | 50
CHI | 30 | 1
LAX | 50 | 1
NYC | 50 | 1
CHI | 50 | 1
LAX | 50 | 1
Spreadsheet: 235896d1368632020-conditional-formatting-chapter-2-example-20resourcing-20spreadsheet-1-coloured-1
Sheet: Sheet1

 |  | Days in month |  |  |  | 22 | 22 | 24 | 22 | 22 | 22 | 21 | 23 | 22 | 22 | 21 | 19
St | Program | Project | Initiative Name | Resources |  | A | M | J | J | A | S | O | N | D | J | F | M | Comment
A | 1-Mars | Mars CVS |  | [NAME] |  |  | 1 | 1.5 | 0.5 | 1
A | 1-Mars | Mars CVS |  | [NAME] |  | 10 | 1 | 1 | 1 | 0.5 |  |  |  | 20
A | 1-Mars | Mars Server |  | [NAME] |  | 10 | 2 | 2 | 3 | 1
A | 1-Mars | Mars Server |  | [NAME] |  | 2 | 0.5 | 1 | 1 | 0
A | 1-Mars | Mars Client |  | [NAME] |  | 5 | 0.5 | 1 | 2 | 4 | 2 | 2 | 1 | 1 | 0.5
A | 1-Mars | Mars Client |  | [NAME] |  |  |  | 20 | 1 | 1 | 1 | 1 | 1
A | 1-Mars | Mars Client |  | [NAME] |  | 1 | 1 | 1 | 1 | 2 | 2 | 1 | 1 | 0.5
A | 1-Mars | Mars Client |  | [NAME] |  | 10 | 1 | 1 | 1 | 1 | 2 | 3 | 1 | 1
A | 3-None | Pluto |  | [NAME] |  |  | 1 | 1 | 1
CL | 3-None | Pluto |  | Frances Tracey |  |  | 0.5 | 12 | 20 |  | 30
OH | 3-None | Pluto |  | [NAME] |  | 5 |  | 2
A | 3-None | Pluto |  | [NAME] |  |  | 1 | 1 | 1 | 3 | 4 | 3 | 2 | 2 | 1 | 5 | 3
A | 3-None | Pluto |  | [NAME] |  | 3 | 1 | 3 | 3 | 3 | 2 | 1 | 0.5 | 1 | 1 | 1 | 1
A | 3-None | Pluto |  | [NAME] |  | 2 |  |  | 1 | 2 | 3 | 2 | 2 | 1 | 1
A | 3-None | Pluto |  | [NAME]
A | 3-None | Mercury |  | [NAME] |  | 4 | 0.5 | 1
A | 3-None | Mercury |  | [NAME] |  | 3 | 3 | 3
A | 3-None | Saturn |  | [NAME] |  |  |  | 1 | 1 | 0.5 | 0.5 | 1 | 1 | 1 | 0.5 | 0 | 0
A | 3-None | Saturn |  | [NAME] |  | 2 |  | 0.25 | 1 |  |  | 1 |  |  | 1
A | 3-None | Saturn |  | [NAME] |  | 2 |  |  |  | 1 | 1 | 1 | 1
A | 2-Sustain | Luna |  | [NAME] |  |  |  | 1.5 | 1.5 | 1 | 1 | 1 | 1
A | 2-Sustain | Luna |  | [NAME] |  | 22 |  |  |  | 1 | 1 | 1 | 1 | 1
A | 2-Sustain | Europa |  | [NAME] |  | 3 |  |  |  |  | 2 | 2 | 3 | 1
A | 1-Mars | Mars CVS |  | [NAME]
A | 2-Sustain | Perelandra |  | [NAME] |  | 3 |  |  | 2
A | 1-Mars | Mars CVS |  | [NAME] |  |  |  | 2 | 2 | 1 | 1 | 1 | 1 | 1 | 0.5
A | 3-None | Jupiter |  | [NAME] |  | 0.5 | 0.5 | 0.5
A | 3-None | Jupiter |  | [NAME]
A | 2-Sustain | Ganymede |  | [NAME]
A | 2-Sustain | Ganymede |  | [NAME] |  | 1 | 2 | 2 | 1 | 0
A | 2-Sustain | Ganymede |  | [NAME] |  |  |  | 1
A | 3-None | Neptune |  | [NAME] |  | 0.5 |  |  | 0.5 |  |  | 0.5 |  |  | 0.5
A | 3-None | Neptune |  | [NAME] |  | 1 |  |  | 1 |  |  | 1 |  |  | 1
A | 1-Mars | Mars CVS |  | [NAME] |  |  | 1
A | 1-Mars | Mars CVS |  | [NAME] |  |  | 1 |  |  |  |  |  |  |  |  | 20
A | 1-Mars | Mars CVS |  | [NAME] |  |  | 1 |  |  |  |  |  |  |  |  | 3
A | 3-None | Pluto |  | [NAME] |  |  | 22 | 2
A | 3-None | Pluto |  | [NAME] |  |  | 1 | 1.5
 |  |  |  |  |  | J | F | M | A | M | J | J | A | S | O | N | D | INSERT NEW ROWS ABOVE THIS LINE ONLY
Spreadsheet: 97147d1296393048-populate-data-based-on-multiple-criteria-data-table-and-summary
Sheet: Incidents By Month and Channel

 | Start Year | 2010
 | Number of incidents based on channel and month
 | Year/Month
 | Train Station
 | Pos Office
 | Stand alone
 | Mall
Spreadsheet: 833682d1687194564-conditional-formatting-of-multiple-conditions-based-on-a-date-in-another-cell-master-project-template-for-help-2-solution-unprotected
Sheet: Project Log

Type | Contract Date | Client Name | Contact | Internal Project Name | Project Address/Legal | Project Manager | Status/Phase | COA | Permitting | ACC | Demo | Notes
Remodel & Addition | 2022-11-30 00:00:00 | meg |  | 1860's Dog Trot Farmhouse |  | Erin | Schematic Design | No | No | No | No
ADU | 2023-02-21 00:00:00 | jeremiah |  | Carleen |  | [NAME] | Schematic Design | Yes | Yes | No | No
Remodel | 2023-03-02 00:00:00 | art |  | Nicholson  Pinehaven |  | [NAME] | Preliminary | No | No | No | Yes
ADU | 2023-05-16 00:00:00 | southerly |  | Southerly  Martin |  | [NAME] | NCC Preliminary | Yes | Yes | No | No
Commercial | 2023-06-06 00:00:00 | port |  | Port  Art Center |  | [NAME] | Feasibility | No | No | No | No
Other | 2023-06-01 00:00:00 | shannon |  | Test Project |  | Shannon | Feasibility | No | No | No | No
Commercial | 2023-06-01 00:00:00 | calder |  | Calder |  | Heather | Preliminary | No | No | No | No
Spreadsheet: 809267d1670998239-attendance-tracker-pto-tracker-ex
Sheet: January

 | Employee PTO
 | Dayoff Type |  | Holiday |  |  | X | PTO |  |  | N | NOT-APPROVED
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Enter year: |  | Month code
 |  | Dates of Absence |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2023 |  | 1
 | Employee Name | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | 30 | 31 | Total Days
 | Total
Spreadsheet: 861812d1709645978-extract-value-based-on-2-conditiond-fdp-aligw
Sheet: FDTL  (2)

 |  |  | MX FDP
 |  |  | Reporting Time Range |  | SECTORS
 |  |  |  |  | 1 | 2 | 3 | 4 | 5
 |  |  | 06:00:00 | 07:59:00 | 13:00:00 | 12:15:00 | 11:30:00 | 10:45:00 | 10:00:00
 |  |  | 08:00:00 | 12:59:00 | 14:00:00 | 13:15:00 | 12:30:00 | 11:45:00 | 11:00:00
 |  |  | 13:00:00 | 17:59:00 | 13:00:00 | 12:15:00 | 11:30:00 | 10:45:00 | 10:00:00
 |  |  | 18:00:00 | 21:59:00 | 12:00:00 | 11:15:00 | 10:30:00 | 09:45:00 | 09:00:00
 |  |  | 22:00:00 | 05:59:00 | 11:00:00 | 10:15:00 | 09:30:00 | 09:00:00 | 09:00:00
 |  |  |  | Reporting Time | 07:59:00 | Checks which row to lookup data from
 |  |  |  | Sectors | 3 | Check which coloum to look up data from
 |  |  |  | [NAME] FDP |  | Desired results
Spreadsheet: 843068d1695038728-index-match-by-worksheet-name-test-2
Sheet: 2

 |  |  |  |  |  | $ | $ | $ | $ | $ | $ | $
 | Country | State | City | Business Code | Business Center | Mon | Tue | Wed | Thur | Fri | Sat | Sun
AUM under 300B
AUM under 100B
Spreadsheet: 773453d1647871678-dynamic-array-in-countif-book2
Sheet: Sheet1

Name | Prod |  | Duplicates
[NAME] | 1 |  |  | '=FILTER(UNIQUE(IF(COUNTIF(FILTER(A2:B8,{0,1}),FILTER(A2:B8,{0,1}))>1,FILTER(A2:B8,{0,1}),"")),(UNIQUE(IF(COUNTIF(FILTER(A2:B8,{0,1}),FILTER(A2:B8,{0,1}))>1,FILTER(A2:B8,{0,1}),""))<>""))
[NAME] | 2 | 2 | 3
[NAME] | 3 | 3
[NAME] | 4 | 4
[NAME] | 5 | 5
Harley | 3 | 3
[NAME] | 1 | 1
Spreadsheet: 0e73b42c-cee8-4fb2-bf93-27146db8ea50
Sheet: Sheet1

Table 9--U.S. cotton textile exports, by destination | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5
 | Mar. | Apr. | May |  | May
Region/country | 2013 | 2013 | 2013 |  | 2012
 | 1,000 pounds 1/
North America | 121121.766 | 117247.01 | 132784.975 |  | 122876.944
Bahamas | 129.17 | 106.318 | 90.713 |  | 92.1
Canada | 9233.424 | 10365.76 | 11070.012 |  | 10411.483
Costa Rica | 364.467 | 246.946 | 319.3 |  | 232.533
Dominican Republic | 17055.426 | 17554.287 | 22738.159 |  | 20721.056
El Salvador | 13156.602 | 10316.615 | 11802.966 |  | 10249.724
Guatemala | 2773.381 | 2971.156 | 2964.029 |  | 1929.061
Haiti | 751.702 | 603.512 | 776.894 |  | 757.265
Honduras | 50353.831 | 43939.094 | 51226.131 |  | 50709.221
Jamaica | 174.977 | 89.045 | 121.384 |  | 80.089
Mexico | 24749.035 | 28897.319 | 29213.154 |  | 25545.613
Nicaragua | 1840.126 | 1548.606 | 1740.904 |  | 1320.92
Panama | 169.834 | 296.404 | 202.545 |  | 394.63
South America | 3456.125 | 3323.286 | 3959.098 |  | 2717.123
Brazil | 531.3 | 275.477 | 468.232 |  | 429.855
Chile | 182.96 | 565.706 | 446.883 |  | 186.506
Colombia | 1993.958 | 1764.445 | 1963.707 |  | 961.146
Peru | 287.014 | 292.124 | 540.002 |  | 147.997
Venezuela | 173.891 | 91.186 | 201.266 |  | 681.714
Europe | 3337.19 | 2904.101 | 3245.257 |  | 2912.668
Belgium | 254.531 | 201.127 | 242.136 |  | 218.767
France | 159.073 | 132.203 | 107.99 |  | 128.391
Germany | 501.735 | 510.902 | 635.772 |  | 443.286
Italy | 151.074 | 155.001 | 254.361 |  | 134.25
Netherlands | 470.241 | 475.201 | 316.328 |  | 390.914
Russia | 78.056 | 67.085 | 62.914 |  | 98.863
Turkey | 72.275 | 55.031 | 57.856 |  | 66.078
United Kingdom | 1128.288 | 805.758 | 992.44 |  | 874.633
Asia | 18243.016 | 17373.065 | 14572.866 |  | 9398.757
China | 13737.203 | 13762.11 | 10686.668 |  | 5116.788
Hong Kong | 717.87 | 545.224 | 529.872 |  | 712.584
India | 119.394 | 157.04 | 186.674 |  | 336.96
Israel | 248.291 | 119.419 | 148.527 |  | 180.614
Japan | 1099.579 | 907.679 | 918.166 |  | 877.917
Pakistan | 5.332 | 9.149 | 14.93 |  | 31.233
Saudi Arabia | 195.459 | 67.842 | 96.294 |  | 128.955
Singapore | 210.527 | 223.189 | 159.783 |  | 319.614
South Korea | 581.105 | 552.299 | 621.608 |  | 526.779
Taiwan | 155.436 | 97.534 | 111.82 |  | 94.855
United Arab Emirates | 455.867 | 294.269 | 302.797 |  | 274.3
Oceania | 904.327 | 813.657 | 780.029 |  | 747.83
Australia | 735.432 | 640.059 | 590.831 |  | 571.671
Africa | 273.673 | 298.052 | 353.884 |  | 261.836
South Africa | 29.769 | 42.392 | 52.659 |  | 58.409
World 2/ | 147336.096 | 141959.172 | 155696.818 |  | 138915.158
1/ Raw-fiber equivalent.  2/ Totals may not add due to rounding.
Sources: USDA, Economic Research Service; and
U.S. Dept. of Commerce, U.S. Census Bureau.
Last update: 07/15/13.
Spreadsheet: 829657d1684356779-need-help-creating-automated-school-report-form-system-onditi-assessment-reports-generator-solution
Sheet: Scores

OLDONYO OROK JUNIOR SECONDARY SCHOOL
END OF TERM 1 2023 EXAMS
 |  |  |  |  |  |  |  | YEAR: 2023 |  |  |  | TERM: 1
ADM NO | NAME | GENDER | ASSESSMENT  NUMBER | UPI NUMBER | MATH | PL | ENG |  | KISW |  | INT/SCI |  | SS |  | PRE-TECH |  | [NAME] |  | HED |  | BED. |  | COMP |  | HSC |  | AGRIC |  | CRE |  | [NAME] |  | TOTAL | PERFORMANCE  LEVEL
1 | ALAINE KERUBO | F | A00B13103 | GKR1 | 6 | ME | 27 |  | 48 | EE | 18 | ME | 6 |  | 9 | AE | 12 | AE | 15 |  | 12 | EE | 18 | ME | 6 | AE | 17 | ME | 19 | EE | 7 | ME |  | Meeting Expectation
62 | RUTH KERUBO OBAGA | F | A00B13104 | [NAME] | 3 | AE | 32 |  | 28 | ME | 20 | ME | 3 |  | 9 | AE | 19 | EE | 11 |  | 6 | BE | 17 | ME | 10 | EE | 19 | ME | 5 | BE | 5 | AE |  | Meeting Expectation
40 | ISHMAEL KIPKORIR MARITIM | M | A00B13105 | GKR3 | 4 | ME | 29 |  | 16 | AE | 22 | ME | 10 |  | 7 | AE | 19 | EE | 9 |  | 5 | BE | 15 | ME | 5 | AE | 21 | EE | 7 | BE | 5 | AE
39 | SHEILA CHELANGAT | F | A00B13106 | [NAME] | 5 | ME | 21 |  | 33 | ME | 19 | ME | 3 |  | 7 | AE | 9 | BE | 15 |  | 4 | BE | 11 | AE | 9 | EE | 16 | ME | 8 | AE | 7 | ME
31 | DORCAS CHEBET BETT | F | A00B13107 | [NAME] | 3 | AE | 25 |  | 18 | AE | 20 | ME | 6 |  | 5 | BE | 13 | AE | 14 |  | 5 | BE | 11 | AE | 9 | EE | 15 | AE | 8 | AE | 7 | ME
103 | EMMANUEL MAGERI | M | [NAME] | GKR6 | 4 | ME | 23 |  | 14 | AE | 16 | ME | 4 |  | 7 | AE | 19 | EE | 13 |  | 7 | AE | 11 | AE | 8 | EE | 15 | AE | 10 | AE | 8 | ME
12 | DASMOND KIPNGENO MUTAI | M | A00B13109 | [NAME] | 3 | AE | 20 |  | 20 | ME | 18 | ME | 4 |  | 7 | AE | 18 | AE | 12 |  | 7 | AE | 15 | AE | 1 | BE | 17 | ME | 4 | BE | 6 | AE
63 | LILIAN CHEPNGETICH KURGAT | F | A00B13110 | GKR8 | 4 | AE | 17 |  | 20 | ME | 20 | ME | 5 |  | 7 | AE | 8 | BE | 11 |  | 7 | AE | 11 | AE | 7 | AE | 17 | ME | 8 | AE | 5 | AE
105 | ABIGAEL REHEMA MAGETO | F | A00B13111 | GKR9 | 1 | BE | 27 |  | 22 | ME | 16 | ME | 5 |  | 7 | AE | 9 | BE | 8 |  | 4 | BE | 13 | BE | 2 | BE | 11 | BE | 9 | AE | 7 | ME
35 | DORCAS CHELANGAT ROB | F | A00B13112 | GKR10 | 5 | ME | 19 |  | 18 | AE | 16 | ME | 3 |  | 5 | BE | 8 | BE | 11 |  | 7 | AE | 10 | BE | 8 | AE | 13 | AE | 11 | ME | 6 | AE
 | KEY
 | PL | PERFORMANCE LEVEL
 | UPI NUMBER | UNIQUE PERSONAL INDENTIFIER
 | ADM | ADMISSION NUMBER
 | EE | EXCEEDING EXPECTATION
 | ME | MEETING EXPECTATION
 | AE | APPROACHING EXPECTION
 | BE | BELOW EXPECTATION
Spreadsheet: 570cf09e-f974-4111-8cec-343fd9b9812b
Sheet: PPU Specifically Allocated CTR

Forward Capacity Market Capacity Load Obligation Settlement Detail Report
SD_FCMCLOSTLDTL_<customer id>_<settlement_date>_<version>.CSV
<[NAME]
Date: <mm/dd/yyyy> and Version: <mm/dd/yyyy hh:[NAME]:ss> GMT
CTR Fund Capacity Zone ID | Capacity Zone Name | Capacity Zone FCA Payment Rate | ROP Capacity Zone FCA Payment Rate | Pool Planned Unit Asset ID | Pool Planned Unit Asset Name | Asset Seasonal Claimed Capability | Customer Ownership Entitlement | Customer Specifically Allocated CTR for Pool Planned Unit | Customer Specifically Allocated CTR Credit for Pool Planned Unit
Number | String | $/kW-Month | $/kW-Month | Number | String | MW | % | MW | $
Spreadsheet: 762390d1641540906-combine-columns-in-two-filter-functions-book2
Sheet: Sheet1

Fruits | Price | Date | Pieces |  |  | Fruits | Date | Pieces
Apple | 5 | 2022-12-01 00:00:00 | 50 |  | From |  | 2022-12-01 00:00:00 | 50 |  |  |  | 2022-12-01 00:00:00 | 50
Apple | 5 | 2022-12-02 00:00:00 | 50 |  |  | Apple | 2022-12-02 00:00:00 | 50 |  | to | Apple | 2022-12-02 00:00:00 | 50
Lemon | 3 | 2022-12-01 00:00:00 | 50 |  |  |  |  |  |  |  |  | 2022-12-01 00:00:00 | 25
 |  |  |  |  |  |  |  |  |  |  | Tomato | 2022-12-08 00:00:00 | 20
Vegs | Price | Date | Pieces
Tomato | 5 | 2022-12-01 00:00:00 | 25 |  |  |  | 44896 | 25
Lettuce | 5 | 2022-12-02 00:00:00 | 30 |  |  | Tomato | 44903 | 20
Tomato | 3 | 2022-12-08 00:00:00 | 20
Spreadsheet: 192813d1352565659-how-many-days-left-in-the-current-month-lumberjim_874972_workdays_left_in_month_10nov12_01
Sheet: Sheet1

today is |  | selling days in this month |  |  |  |  |  |  |  |  | day | label | JUST FOR REFERENCE
2012-11-10 00:00:00 |  |  |  |  |  |  |  |  |  |  | Sunday | 1
 |  |  |  |  |  |  |  |  |  |  | Monday | 2
 |  |  |  |  |  |  |  |  |  |  | Tuesday | 3
 |  |  |  |  |  |  |  |  |  |  | Wednesday | 4
 |  |  |  |  |  |  |  |  |  |  | Thursday | 5
 |  |  | [NAME] |  |  |  |  |  |  |  | Friday | 6
 | closed sundays! |  |  | days left | days gone | selling days this month |  |  | day off |  | Saturday | 7
 | days remaining mon-sat |  |  |  |  |  |  |  | n/a
 | days remaining off mon |  |  |  |  |  |  |  | Monday
 | days remaining off tues |  |  |  |  |  |  |  | Tuesday
 | days remaining off weds |  |  |  |  |  |  |  | Wednesday
 | days remaining off thurs |  |  |  |  |  |  |  | Thursday
 | days remaining off fri |  |  |  |  |  |  |  | Friday
 |  |  |  |  |  |  |  |  |  |  | total | days left | days gone
 | ICE STATIONS'S FORMULA:
Spreadsheet: 127512d1320384775-index-count-sequence-unique-dates-based-on-values-in-another-column-week-index-bvj-
Sheet: Sheet2

Product | Sell Date | Week of Campaign | Product | Sell Date | Week of Campaign
Widget A | 2011-04-09 17:00:00 |  | Widget A | 2011-04-09 17:00:00
Widget A | 2011-04-16 17:00:00 |  | Widget A | 2011-04-16 17:00:00
Widget A | 2011-04-16 17:00:00 |  | Widget A | 2011-04-23 17:00:00
Widget A | 2011-04-16 17:00:00 |  | Widget A | 2011-04-30 17:00:00
Widget A | 2011-04-23 17:00:00 |  | Widget A | 2011-05-07 00:00:00
Widget A | 2011-04-30 17:00:00 |  | Widget B | 2011-04-09 17:00:00
Widget A | 2011-05-07 00:00:00 |  | Widget B | 2011-04-16 17:00:00
Widget B | 2011-04-09 17:00:00 |  | Widget B | 2011-04-23 00:00:00
Widget B | 2011-04-16 17:00:00 |  | Widget B | 2011-04-30 00:00:00
Widget B | 2011-04-16 17:00:00 |  | Widget B | 2011-05-07 00:00:00
Widget B | 2011-04-23 00:00:00 |  | Widget B | 2011-05-14 00:00:00
Widget B | 2011-04-30 00:00:00 |  | Widget C | 2011-04-30 00:00:00
Widget B | 2011-05-07 00:00:00 |  | Widget C | 2011-05-07 00:00:00
Widget B | 2011-05-14 00:00:00 |  | Widget C | 2011-05-14 00:00:00
Widget B | 2011-05-14 00:00:00
Widget C | 2011-04-30 00:00:00
Widget C | 2011-05-07 00:00:00
Widget C | 2011-05-07 00:00:00
Widget C | 2011-05-14 00:00:00
Spreadsheet: richard_sanders__31742__Brazos Litigation @ 09-Nov-00
Sheet: Sheet1

Ponderosa Pine Energy, LLC
Cleburne Litigation Risk Analysis
PREPARED AT THE REQUEST OF COUNSEL
 | Discount | Section 11.02 | UCC
 | Rate | Damages* | Damages*
Note |  | (a) | (b)
 | 0.05 | 531853.6850679942 | 508968.8509144557
 |  | 488617.2095386205 | 478930.6416020967
 |  | 450384.1610269186 | 452400.0012423263
 |  | 416469.620246272 | 428890.1201223417
 |  | 386293.0535809698 | 407989.4732235089
 |  | 359361.0907016767 | 389349.2299847947
 |  | 335253.3304416853 | 372672.9043104677
 |  | 313610.613060663 | 357707.8248829821
 |  | 294125.3062825612 | 344238.0882209743
 |  | 276533.2395988171 | 332078.7224706631
 |  | 260606.9909438057 | 321070.842204876
 |  | 246150.2856254342 | 311077.6163128723
 |  | 232993.3121901719 | 301980.9045761803
 |  | 220988.7959662286 | 293678.4454511303
 |  | 210008.700131956 | 286081.4992630127
 |  | 199941.4476971598 | 279112.8685203841
(c) | 0.05 | 531853.6850679942 | 508968.8509144557
(d) | 0.1048027405571804 | 346977.9453806635 | 380782.3072232443
(e) | 0.115 | 324144.1743040361 | 364990.7408108655
Notes
(a) | Present value of net capacity payments due Tenaska IV (contract capacity rate less fixed O&M offset) per Section 11.02 of the PPA
(b) | Present value of the difference between the all-in contract price and the "market" price for 7x24 operation provided by Pace Global Energy;
 | damages shown include $145.5 MM in project-level debt
(c) | Section 11.02 Interpretation
(d) | PPE's WACC
(e) | Section 10.03 Interpretation
* | Assumes breach occurs December 31, 2000; values reflect [NAME] only
Spreadsheet: 81778d1281950027-random-numbers-unique_randomnumber
Sheet: Foglio1

3
2
1 |  | 2 | 4 | 5 | 3 | 1
4
 | As an option you can also make the function volatile
 | 42 | 34 | 36 | 23 | 45
 | 10 | 44 | 47 | 12 | 29
 | 49 | 46 | 27 | 54 | 50
 | 53 | 26 | 37 | 31 | 38
 | 39 | 22 | 48 | 55 | 51
 | 20 | 41 | 21 | 14 | 28
 | 17 | 25 | 19 | 18 | 13
 | 52 | 35 | 11 | 33 | 32
 | 40 | 15 | 30 | 16 | 24
 | 43 | #N/A | #N/A | #N/A | #N/A |  | This happens becuase the range of Unique numbers
 | #N/A | #N/A | #N/A | #N/A | #N/A |  | is smaller than the range of the function
 | Don't forget that since this function returns an array,
 | you'll need to enter it using  Cntrl - Shift - Enter
Spreadsheet: 376445d1423599892-project-time-log-dummy-template-ndmv3
Sheet: Sheet1

Date | Project | Task | Hours
2015-01-07 00:00:00 | 1 | 3 | 3 |  | Date | Project | Task | Sum of Hours
2015-01-06 00:00:00 | 2 | 2 | 2 |  | Jan | 1 | 2 | 3
2015-01-08 00:00:00 | 1 | 2 | 3 |  |  |  | 3 | 4
2015-01-08 00:00:00 | 1 | 4 | 2 |  |  |  | 4 | 2
2015-01-08 00:00:00 | 1 | 5 | 1 |  |  |  | 5 | 1
2015-01-09 00:00:00 | 2 | 2 | 2 |  |  | 1 Total |  | 10
2015-01-15 00:00:00 | 2 | 2 | 2 |  |  | 2 | 2 | 8
2015-01-20 00:00:00 | 1 | 3 | 1 |  |  | 2 Total |  | 8
2015-01-20 00:00:00 | 2 | 2 | 2 |  | Jan Total |  |  | 18
2015-02-02 00:00:00 | 2 | 1 | 4 |  | Feb | 1 | 3 | 5
2015-02-02 00:00:00 | 1 | 3 | 5 |  |  | 1 Total |  | 5
 |  |  |  |  |  | 2 | 1 | 4
 |  |  |  |  |  | 2 Total |  | 4
 |  |  |  |  | Feb Total |  |  | 9
 |  |  |  |  | Grand Total |  |  | 27