tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 727342d1617853784-last-6-days-dates-last-6-days-dates
Sheet: Sheet1

 |  |  |  |  | Need formula to give the series of last 6 days' dates, but Sundays are to be excluded. (If possible Holidays are also not to be shown)
Date | Output
2021-04-01 00:00:00 | 130.558 |  |  | Last 6 days output
2021-04-02 00:00:00 | 140.859 |  |  |  | 2021-04-06 00:00:00 | 2021-04-05 00:00:00 | 2021-04-03 00:00:00 | 2021-04-02 00:00:00 | 2021-04-01 00:00:00
2021-04-03 00:00:00 | 160.185
2021-04-04 00:00:00
2021-04-05 00:00:00 | 168.793
2021-04-06 00:00:00 | 161.837
2021-04-07 00:00:00 | 203.843
2021-04-08 00:00:00 | 181.213
2021-04-09 00:00:00 | 249.4 |  | Holidays
2021-04-10 00:00:00 | 219.396 |  | 2021-01-01 00:00:00
2021-04-11 00:00:00 |  |  | 2021-01-14 00:00:00
2021-04-12 00:00:00 | 148.157 |  | 2021-01-26 00:00:00
2021-04-13 00:00:00 | 122.81 |  | 2021-05-01 00:00:00
2021-04-14 00:00:00 | 67.289 |  | 2021-05-14 00:00:00
2021-04-15 00:00:00 | 178.71 |  | 2021-09-10 00:00:00
2021-04-16 00:00:00 | 183.785 |  | 2021-10-02 00:00:00
2021-04-17 00:00:00 | 205.068 |  | 2021-10-15 00:00:00
2021-04-18 00:00:00 |  |  | 2021-11-04 00:00:00
2021-04-19 00:00:00 | 169.532 |  | 2021-12-25 00:00:00
2021-04-20 00:00:00 | 157.706
2021-04-21 00:00:00 | 26.138
2021-04-22 00:00:00 | 236.252
2021-04-23 00:00:00 | 141.751
2021-04-24 00:00:00 | 184.025
2021-04-25 00:00:00
2021-04-26 00:00:00 | 194.183
2021-04-27 00:00:00 | 134.694
2021-04-28 00:00:00 | 13.886
2021-04-29 00:00:00 | 211.451
2021-04-30 00:00:00 | 161.322
2021-05-01 00:00:00 | 197.428
Spreadsheet: 151181d1334824496-automatic-email-subject-test-email-sheet
Sheet: Sheet 1 - Table 1

Title of Sheet
 | company name | website | email | phone | address | owner | letter sent? | email sent? | phoned | agreed (price)
1 | Example 1 | www.example2.co.uk | [EMAIL] | 01837 727832 | [NAME]
2 | Example 2 | www.thesecondexample.com | [EMAIL] | 0227 82823 | yea yea
3 | Example 3 | www.thebig3.org | [EMAIL] | 08000 83723 | yeaaaa
4 | Example 4 | www.examplefourth.com | [EMAIL] | 2880078
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Spreadsheet: 033b3357-2d67-4a3e-8e5a-d093fa46e9d9
Sheet: Sheet1

1920 - 9th Coupe Aéronautique [NAME] | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9
Starting Point: | Birmingham, Alabama, USA |  |  | 1920-10-23 00:00:00
 |  | Pilots Name |  | Co-Pilots Name
Rank | Country | Last | First | Last | First | BalloonName | LandingPlace | Distance km | Time
1 | BEL | Demuyter | Ernest | Labrousse | Capt. M. | Belgica | North Hero Island/Lake Champlain/Canada | 1769 | 1900-01-01 16:15:00
2 | USA | Honeywell | [NAME] |  |  | [NAME] |  | 1600 | 1900-01-02 00:26:00
3 | ITA | Valle | [NAME] di |  |  | [NAME] | Homer/New York | 1400
4 | ITA | Medori | Lt.Col. Ugo |  |  |  |  | 1080
5 | USA | Upson | [NAME] | Orman | [NAME] |  |  | 1050
6 | USA | Thompson | Ltn. [NAME] |  |  |  |  | 935
7 | FRA | Hirschauer |  |  |  |  |  | 800
Spreadsheet: 59751d1260312797-excel-2007-how-to-sort-data-validation-menu-while-typing-characters-in-the-cell-for-the-menu-master_requirement_gathering_template_-final-
Sheet: Authorization

 |  | DATA Gathering Template
Program | Temporary Assistance - Family Assistance and Safety Net
Function Name | Eligibility Determination
Activity Name | Authorization
Activity Description / Purpose | The worker must complete an authorization form to support their benefit issuance recommendation
 |  |  | Activity Predecessor | Activity [NAME] | Activity Input | Activity Output | Activity Successors
Steps | Tasks A task is any action that is being performed to complete a step | What unit does this? (SU) | Who does this? (W) | Applications used / System Interfaces / Tools Is there an automated system supporting the activity? | What happens before this? (P) | What causes the activity to happen (T) | Additional Information that is needed (I) | Is anything produced? (O) | What happens next ? (S) | V | Comments |  |  |  | Questions | Workarounds | Constraints/ Issues | Opportunities | Policy Considerations | Best Practices | Follow-Up | Comments
Complete full data entry into WMS
Write payment lines
Correct 'fatal' errors
Process eligibility in WMS
Spreadsheet: 9658068e-8362-4074-bfd6-999651af9e9b
Sheet: Sheet1

GENERAL | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | 120071 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11 | Unnamed: 12 | Unnamed: 13 | Unnamed: 14 | Unnamed: 15
Resolution Fact Sheet |  |  |  |  |  |  | Ordinance Number
 | Brief Title |  | Approval Deadline |  | Reason
 | Designating Clay County Roadway |  |  |  | To allow use of Clay County road and bridge dollars
 | dollars
Details |  |  |  |  | Positions/Recommendations
 | Reason for Legislation |  |  |  | Sponsor |  |  |  | Public Works
 |  |  |  |  | Programs,
 |  |  |  |  | Departments,
 |  |  |  |  | or Groups |  |  |  | Public Works
 |  |  |  |  | Affected
 |  |  |  |  | Applicants / |  | Applicant
 |  |  |  |  | Proponents
 |  |  |  |  |  |  |  |  | _________ Department
 |  |  |  |  |  |  | City Department
 |  |  |  |  |  |  |  |  | _________ Department
 |  |  |  |  |  |  |  |  | _________ Department
 |  |  |  |  |  |  | Other
 |  |  |  |  | Opponents |  | Groups or Individuals
 |  |  |  |  |  |  | Basis of opposition
 |  |  |  |  | Staff
 |  |  |  |  | Recommendation |  | X |  | For
 |  |  |  |  |  |  |  |  | Against
 |  |  |  |  |  |  | Reason Against
 |  |  |  |  | Board or
 |  |  |  |  | Commission |  | By
 | for the capital improvement. |  |  |  | Recommendation
 |  |  |  |  |  |  |  |  | For |  |  |  | Against |  | No action taken
 |  |  |  |  |  |  |  |  | For, with revisions or conditions
 |  |  |  |  |  |  |  |  | (see details column for conditions)
 |  |  |  |  | Council
 |  |  |  |  | Committee |  |  |  | Do pass
 |  |  |  |  | Actions
 |  |  |  |  |  |  |  |  | Do pass (as amended)
 |  |  |  |  |  |  |  |  | Committee Sub.
 |  |  |  |  |  |  |  |  | Without Recommendation
 |  |  |  |  |  |  |  |  | Hold
 |  |  |  |  |  |  |  |  | Do not pass
 |  |  |  |  |  |  |  |  |  |  |  | (Continued on reverse side)
Details |  |  |  |  | Policy/Program Impact
 |  |  |  |  | Policy or Program
 |  |  |  |  | Change |  | X |  | No |  |  |  | Yes
 |  |  |  |  | Operational
 |  |  |  |  | Impact |  |  |  | none
 |  |  |  |  | Assessment
 |  |  |  |  | Finances
 |  |  |  |  | Cost & Revenue
 |  |  |  |  | Projections --
 |  |  |  |  | Including Indirect
 |  |  |  |  | Costs
 |  |  |  |  | Financial Impact
 |  |  |  |  | Fund Source (s)
 |  |  |  |  | and Appropriation
 |  |  |  |  | Account Codes
 |  |  |  |  | (Use this space for further discussion, if necessary)
Applicable Dates:
Fact Sheet Prepared by:
 | Name Teresa Toth |  | Date 01-10-2012
 | Title Fiscal Officer
Reviewed by:
 | Name [NAME] |  | Date 1-10-2012
 | Title Director of Public Works
Reference Numbers
Spreadsheet: 818020d1676556720-im-tracking-temperature-for-the-days-looking-for-help-temperature-sample2
Sheet: Temp Sample

Temperature
 | High | Low
2022-12-30 00:00:00 | 80.67 | 77.71
2023-01-03 00:00:00 | 81.5 | 76.6
2023-01-04 00:00:00 | 77.42 | 72.73
2023-01-05 00:00:00 | 74.92 | 72.46
2023-01-06 00:00:00 | 75.47 | 73.24
2023-01-09 00:00:00 | 76.74 | 73.47
2023-01-10 00:00:00 | 75.92 | 73.84
2023-01-11 00:00:00 | 77.84 | 74.31
2023-01-12 00:00:00 | 79.16 | 77.1
2023-01-13 00:00:00 | 80.11 | 77.97
2023-01-17 00:00:00 | 81.23 | 78.53
2023-01-18 00:00:00 | 82.66 | 79.21
2023-01-19 00:00:00 | 81.49 | 78.45
2023-01-20 00:00:00 | 81.91 | 79.91
2023-01-23 00:00:00 | 82.64 | 81.05
2023-01-24 00:00:00 | 82.22 | 79.66
2023-01-25 00:00:00 | 81.23 | 79.45
2023-01-26 00:00:00 | 82.14 | 79.92
2023-01-27 00:00:00 | 82.48 | 79.04
2023-01-30 00:00:00 | 80.49 | 77.66
2023-01-31 00:00:00 | 79.25 | 76.55
2023-02-01 00:00:00 | 79.73 | 76.05
2023-02-02 00:00:00 | 77.24 | 74.97 |  |  | Im thinking he first step would be to find the lowest High temperature and  fill that cell a color
2023-02-03 00:00:00 | 78 | 73.1 |  |  | But  in addition to that argument, it cant have a low temperature above it
2023-02-06 00:00:00 | 74.51 | 72.25 |  | High | This cell next to the high would contain the lowest high temperature value of 74.5 that did not have a low temperature value above it The 72 doesn’t count because it on the same day
2023-02-07 00:00:00 | 77.6 | 74.35
2023-02-08 00:00:00 | 78.57 | 77.08
2023-02-09 00:00:00 | 78.84 | 76.52 |  |  | Then for the low temperature the Highest Low temperature fill that green or something
2023-02-10 00:00:00 | 80.33 | 77.47 |  | Low | But  in addition to that argument, it cant have a high temperature below it
2023-02-13 00:00:00 | 80.62 | 78.45
2023-02-14 00:00:00 | 79.61 | 77.46 |  |  | Im not sure if this could be updated as I insert additional temperatures
 |  |  |  |  | This is what I have been working on kinda fiddling with the formulas
Spreadsheet: 856489d1705698935-sum-ifs-and-statement-from-a-drop-down-menu-with-4-columns-sum-ifs-and-statement
Sheet: Jan

SAMPLE MONTHLY
size | color | sleeve | type
xs | black | short | unisex
xs | blue | short | unisex
s | black | short | unisex
 | SUM(IF(AND(A3="xs"),(B3="black")))
 | SUM(IF(AND(A3:A5="xs"),(B3="black")))
 | SUM(ifs(AND(A2="xs"),(B2="black")))
 | SUM(ifs(AND(A2="xs"),(B2="black"),(C2="short"),(D2="unisex")))
Spreadsheet: 45216d1243994239-help-reformatting-block-data-into-standard-columns-collatecontacts
Sheet: Sheet3

1.Name | Name 1
Address | 123 Main St
Phone # | [PHONE]
2.Name | Name 5
Address | 1600 Pennsylvania Ave
Phone # | [PHONE]
1.Name | Name 9
Address | 123 Main St
Phone # | [PHONE]
2.Name | Name 13
Address | 1600 Pennsylvania Ave
Phone # | [PHONE]
1.Name | Name 17
Address | 123 Main St
Phone # | [PHONE]
2.Name | Name 21
Address | 1600 Pennsylvania Ave
Phone # | [PHONE]
1.Name | Name 25
Address | 123 Main St
Phone # | [PHONE]
2.Name | Name 29
Address | 1600 Pennsylvania Ave
Phone # | [PHONE]
1.Name | Name 33
Address | 123 Main St
Phone # | [PHONE]
2.Name | Name 37
Address | 1600 Pennsylvania Ave
Phone # | [PHONE]
1.Name | Name 41
Address | 123 Main St
Phone # | [PHONE]
2.Name | Name 45
Address | 1600 Pennsylvania Ave
Phone # | [PHONE]
1.Name | Name 49
Address | 123 Main St
Phone # | [PHONE]
2.Name | Name 53
Address | 1600 Pennsylvania Ave
Phone # | [PHONE]
1.Name | Name 57
Address | 123 Main St
Phone # | [PHONE]
2.Name | Name 61
Address | 1600 Pennsylvania Ave
Phone # | [PHONE]
1.Name | Name 65
Address | 123 Main St
Phone # | [PHONE]
2.Name | Name 69
Address | 1600 Pennsylvania Ave
Phone # | [PHONE]
1.Name | Name 73
Address | 123 Main St
Phone # | [PHONE]
2.Name | Name 77
Address | 1600 Pennsylvania Ave
Phone # | [PHONE]
Spreadsheet: 0d32a0da-e28d-48af-a6a0-f919b0cbaa95
Sheet: Sheet1

Unnamed: 0 | Factors | df | Coefficient sign | F | p(F) | [NAME] explained
a) | recombination | 1 | - | 1726.67 | <0.001 | 0.173
b) | intergenic or (introns + UTRs) length | 1 | + | 1341.8 | <0.001 | 0.134
c) | proportion of conserved sequences | 1 | - | 147 | <0.001 | 0.015
d) | X vs autosomes | 1 | - | 29 | <0.001 | 0.003
e) | intergenic regions vs genes | 1 | - | 159.3 | <0.001 | 0.016
f) | neighboring germline expression | 1 | + | 163.4 | <0.001 | 0.016
g) | local germline expression | 1 | (-) | 2.05 | 0.15 | 0
h) | intergenic regions vs genes : neighboring | 1 | + | 58.9 | <0.001 | 0.002
l) | intergenic regions vs genes : local | 1 | - | 18.4 | <0.05 | <0.1%
 | Total | 22275 |  |  |  | 0.359
Spreadsheet: 547739d1510714337-reorganizing-inconsistent-columns-ingested-from-database-daily-example_1
Sheet: CUT_AND_PASTE_DATA

ITEM_NAME | ITEM_COLOR | ITEM_AGE | ITEM_NUMBER | ITEM_QUALITY | ITEM_REFERENCE
Truck | Blue | 5 | 19658 | Good | Sharp
Ship | Red | 7 | 20386 | Good | Sharp
Bus | Yellow | 15 | 50497 | Excellent | Flat
Car | Red | 6 | 64583 | Poor | Sharp
Bike | Green | 7 | 44791 | Poor | Flat
Spreadsheet: 855482d1705032277-help-specific-hour-slot-8pm-to-8am-is-giving-me-headaches-livro2
Sheet: Folha1

 |  | Start | End | [NAME] | [NAME]
 |  | 20:00:00 | 02:00:00
 |  | 19:00:00 | 02:00:00
 |  | 20:00:00 | 00:00:00
 |  | 22:00:00 | 08:00:00
 |  | 22:00:00 | 09:00:00
 |  | 09:00:00 | 11:00:00
 |  | 08:00:00 | 09:00:00
 |  | 07:00:00 | 08:00:00
 |  | 17:00:00 | 21:00:00
 |  | 05:00:00 | 11:00:00
 |  | 07:00:00 | 00:30:00 |  |  | From 07:00 until 08:00 + From 20:00 until 00:30 = 01:00 +04:30 = 05:30
 |  | 18:00:00 | 09:00:00
Spreadsheet: 50073d1249476374-excel-2007-information-merge-from-multiple-sheets-automatic-end-of-month-report-year-09
Sheet: MAY 09

 | CONTRACTOR UTILIZED: |  | [NAME]
 | WEEK #1 | 27 APR - 1 MAY | # of HOURS | # of STUDENTS | CLASS #
ENTER COURSE, CLASS # & # OF STUDENTS IN THE TOTALS BLOCK AT BOTTOM OF PAGE | 15T10 Reclass |  | 40 | 15 | 09-001
 | 15T10 Reclass |  | 0 |  | 09-003
 | 0 |  |  |  | 0
 | LEAVE (H/V)
ENTER DATES AT WEEK # FIRST THEN ENTER HOURS FOR APPROPRIATE COURSE | WEEK #1 TOTAL |  | 40 | 15
 | WEEK #2 | 4 - 8 MAY | # of HOURS | # of STUDENTS | CLASS #
 | 15T10 Reclass |  | 40 | 15 | 09-001
 | 15T10 Reclass |  | 0 | 0 | 09-003
 | 0 |  |  |  | 0
 | LEAVE (H/V)
 | WEEK #2 TOTAL |  | 40 | 15
 | WEEK #3 | 11 - 15 MAY | # of HOURS | # of STUDENTS | CLASS #
 | 15T10 Reclass |  | 0 | 0 | 09-001
 | 15T10 Reclass |  | 40 | Prep | 09-003
 | 0 |  |  |  | 0
 | LEAVE (H/V)
 | WEEK #3 TOTAL |  | 40 | 0
 | WEEK #4 | 18 - 22 MAY | # of HOURS | # of STUDENTS | CLASS #
 | 15T10 Reclass |  | 0 | 0 | 09-001
 | 15T10 Reclass |  | 40 | 14 | 09-003
 | 0 |  |  |  | 0
 | LEAVE (H/V)
 | WEEK #4 TOTAL |  | 40 | 14
 | WEEK #5 |  | # of HOURS | # of STUDENTS | CLASS #
 | 15T10 Reclass |  |  |  | 09-001
 | 15T10 Reclass |  |  |  | 09-003
 | 0 |  |  |  | 0
 | LEAVE (H/V)
 | WEEK #5 TOTAL |  | 0 | 0
 | WEEK #6 |  | # of HOURS | # of STUDENTS | CLASS #
 | 15T10 Reclass |  |  |  | 09-001
 | 15T10 Reclass |  |  |  | 09-003
 | 0 |  |  |  | 0
 | LEAVE (H/V)
 | WEEK #6 TOTAL |  | 0 | 0
 |  |  | TOTALS |  | CLASS #
Enter Course Here------------> | 15T10 Reclass |  | 80 | 15 | 09-001 | <--------Enter Class # Here
Enter Second Course Here------------> | 15T10 Reclass |  | 80 | 14 | 09-003 | <--------Enter Second Class # Here
Enter Third  Course Here------------> |  |  | 0 |  |  | <--------Enter Third  Class # Here
 | LEAVE (H/V) |  | 0
 | GRAND TOTAL |  | 160 | 29 |  | Enter # of Students in # of Students Column Next to Appropriate Class
Spreadsheet: 005b6801-8580-4d96-b866-5fd00c9c0c81
Sheet: 11c

Product | AUD** | CAD | CHF | DKK | KRW | NOK | NZD | SEK | ZAR | TOTAL
Basis*
FRA |  |  |  |  |  | 476 |  | 344 |  | 820
IRS- [NAME] | 522 | 570 | 230 |  |  |  | 278 | 212 | 284 | 2096
OIS
VNS
Zero Coupon
TOTAL | 522 | 570 | 230 |  |  | 476 | 278 | 556 | 284 | 2916
Estimated swap transaction volumes, week ending November 9, by product type and major currency (in number of transactions), 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: kate_symes__18610__MidC
Sheet: DJ Mid-C Electricity Index

 |  |  | Firm | Volume | Firm | Volume | Non Firm | Volume | Non Firm | Volume |  | Sunday & NERC | Volume
 | DATE |  | On [NAME] | [NAME] | [NAME] | [NAME] | On [NAME] | [NAME] | [NAME] | [NAME] |  | 24 HOUR | [NAME]
 | 2001-02-09 00:00:00 |  | 276.16 | 15824 | 238.78 | 3328
 | 2001-02-08 00:00:00 |  | 381.43 | 15120 | 316.79 | 3376 | 341.12 | 2521 | 320.97 | 373
 | 2001-02-07 00:00:00 |  | 274.49 | 8688 | 253.14 | 4024 | 294.97 | 2143 | 251.02 | 216
 | 2001-02-06 00:00:00 |  | 213.71 | 10784 | 195.79 | 4096 | 259.92 | 63 | 196.16 | 307
 | 2001-02-05 00:00:00 |  | 200.43 | 11824 | 196.63 | 3968 | 204.52 | 1904 | 179.61 | 727
 | 2001-02-04 00:00:00 |  | 200 | 0 | 185 | 0 | 181.95 | 1513 | 175.11 | 1100 |  | 196.25 | 10704
 | 2001-02-03 00:00:00 |  | 222.8 | 15824 | 195.9 | 7648 | 185 | 35 | 199.94 | 233
 | 2001-02-02 00:00:00 |  | 222.8 | 15824 | 195.9 | 7648 | 203.95 | 380 | 200 | 48
 | 2001-02-01 00:00:00 |  | 355.71 | 7984 | 306.05 | 3728 | 255.73 | 1202 | 198.09 | 315
 | 2001-01-31 00:00:00 |  | 409.15 | 12656 | 342.56 | 3280 | 313.68 | 3766 | 275 | 70
 | 2001-01-30 00:00:00 |  | 468.99 | 11456 | 403.48 | 2872 | 383.47 | 304 | 351 | 25
 | 2001-01-29 00:00:00 |  | 420.48 | 19824 | 407.62 | 3832 | 383.33 | 4070 | 304.86 | 1442
 | 2001-01-28 00:00:00 |  | 450 | 800 | 350 | 0 | 488.38 | 355 | 460.46 | 416 |  | 408.68 | 12240
 | 2001-01-27 00:00:00 |  | 294.85 | 19024 | 254.41 | 4032 | 456.54 | 845 | 457.01 | 236
 | 2001-01-26 00:00:00 |  | 295.64 | 17424 | 254.65 | 3832 | 369.4 | 402 | 350 | 75
 | 2001-01-25 00:00:00 |  | 319.38 | 15024 | 295.88 | 1272 | 296.66 | 437 | 234.61 | 965
 | 2001-01-24 00:00:00 |  | 307.59 | 18224 | 261.91 | 2872 | 290.03 | 291 | 291.18 | 807
 | 2001-01-23 00:00:00 |  | 329.11 | 18624 | 254.24 | 4712 | 309.54 | 1107 | 305 | 200
 | 2001-01-22 00:00:00 |  | 393.64 | 26784 | 333.06 | 3312 | 351.61 | 465 | 314.65 | 1500
 | 2001-01-21 00:00:00 |  | 300 | 800 | 337.5 | 0 | 367 | 625 | 318.16 | 435 |  | 335.88 | 8736
 | 2001-01-20 00:00:00 |  | 559.4 | 25088 | 411.6 | 8344 | 362.89 | 291 | 286.58 | 300
 | 2001-01-19 00:00:00 |  | 559.4 | 25088 | 411.6 | 8344 | 376.11 | 836 | 283.47 | 546
 | 2001-01-18 00:00:00 |  | 481.44 | 21424 | 392.14 | 5112 | 454.07 | 393 | 294.21 | 380
 | 2001-01-17 00:00:00 |  | 272.66 | 29824 | 248.16 | 6312 | 428.17 | 196 | 285.3 | 495
 | 2001-01-16 00:00:00 |  | 179.29 | 23760 | 158.21 | 3800 | 422.32 | 6337 | 190 | 50
 | 2001-01-15 00:00:00 |  | 179.29 | 23760 | 158.21 | 3800 | 205.96 | 83 | 210 | 22
 | 2001-01-14 00:00:00 |  | 158.5 | 0 | 152.5 | 0 | 175.38 | 920 | 157.2 | 820 |  | 152.44 | 15000
 | 2001-01-13 00:00:00 |  | 158.65 | 17648 | 151.85 | 6600 | 180.04 | 1330 | 158.51 | 865
 | 2001-01-12 00:00:00 |  | 171.71 | 16368 | 147.69 | 5432 | 181.08 | 185 | 149.35 | 575
 | 2001-01-11 00:00:00 |  | 171.43 | 15360 | 147.59 | 5936 | 157.64 | 254 | 119.48 | 1146
 | 2001-01-10 00:00:00 |  | 157.57 | 15328 | 144.37 | 5680 | 149.25 | 499 | 120.6 | 712
 |  |  |  |  |  | ..
Spreadsheet: 771187d1646492256-help-how-do-i-calculate-the-standard-deviation-for-a-specific-set-of-values-assessment-protocol-example-anon_1-
Sheet: Assessment protocol

Name | Surname | Formalities | 1A) Description of relevant legislation | 1B) Description of policy/strategy issues and goals | 1C) Analysis of other relevant policy/strategy interventions | 1D) Analysis of relevant gender questions | 1E) Description of relevant indicators | 1F) Analysis of others' responses | 2G) Description of data about policy/strategy issues impact | 2H) Description of lacking/missing information | 2I) Gender analysis | Summary 1 | Summary 2 | Summary 3 | Total score | Calculated grade | Grade (Fail/Pass): | Grader:
Name 2 | Surname 2 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 |  |  | P | [NAME]
Name 2 | Surname 2 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |  |  | F | [NAME]
Name 1 | Surname 1 | 2 | 2 | 2 | 3 | 1 | 3 | 1 | 2 | 2 | 3 | 2 | 2 | 3 |  |  | F | [NAME]
Name 1 | Surname 1 | 3 | 2 | 1 | 2 | 3 | 2 | 1 | 1 | 1 | 3 | 3 | 2 | 2 |  |  | F | [NAME]
Name 1 | Surname 1 | 3 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 |  |  | P | [NAME]
Name 1 | Surname 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |  |  | F | [NAME]
Name 2 | Surname 2 | 3 | 1 | 2 | 3 | 1 | 2 | 2 | 2 | 2 | 1 | 2 | 2 | 2 |  |  | F | [NAME]
Spreadsheet: a83f2727-f414-4ad2-9bdc-cf2344aa1719
Sheet: Sheet1

PROG ID | ATHLETE ID | ATHLETE FIRST | ATHLETE LAST | NATIONALITY | START NUMBER | RUN | T1 | BIKE | T2 | RUN.1 | POSITION | TOTAL TIME
8703 | 11532 | Franck | Paget | FRA | 82 | [NAME] | 00:02:44 | 04:49:28 | 00:02:56 | 03:22:15 | 1 | 09:00:15
Spreadsheet: 133649d1324511079-positive-negative-and-the-odious-div-0-p-and-l2008help
Sheet: Feb

Profit and Loss Statement |  | Tax Year: | 2008 | February
[NAME] |  | Monthly Summary | Total Income
 |  |  | Total Expense
Gross margin  [L/J] |  |  | Profit / (Loss)
Return on sales  [T/J]
 | Prior Period | Current Period | Current Period as    % of Sales | % Change from Prior Period
Sales Revenue
Health Insurance
Medicare Advantage
Medicare Supplement
Life Insurance |  | 3600
Investment (Annuity)
Other
Total Sales Revenue  [J]
Cost of Sales
Specify
Total Cost of Sales  [K]
Gross Profit  [L=J-K]
Operating Expenses
Sales and Marketing
Advertising (Radio, TV, Print Media, etc)
Printing
Direct marketing
Seminar
Meals and Entertainment
Total Sales and Marketing Expenses  [M]
Research & Development
Licenses
Education |  | 200
Total Research & Development Expenses  [N]
General and Adminstrative
Rent
Payroll
Utilities
Telephone
Health Insurance
E&O Insurance
Software
Web Hosting and domains
Postage
Office Supplies
Equipment
Repairs and maintenance
Other expenses (specify)
Auto (Tires, Fuel, Oil, Tolls, [NAME], etc)
Auto Mileage (IRS standard deduction; averaged) |  | 510
Total General & Adminstrative Expenses  [O]
Total Operating Expenses  [P=M+N+O]
Income from Operations  [Q=L-P]
Other Income (Bonuses) [R]
Taxes
Payroll Taxes
Property Taxes
Total Taxes  [S]
Net Profit  [T=Q+R-S]
Spreadsheet: 4ec44d6a-6137-4345-9cf0-c90b58e65dc9
Sheet: 4

 | Oct 4 |  | Oct 11 |  | Oct 18 |  | Oct 25
 | Long | Short | Long | Short | Long | Short | Long | Short
Total Interest Rate* | N/A*** | N/A | N/A | N/A | N/A | N/A | N/A | N/A
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 | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
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 | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
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 | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
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 | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
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 snapshot, net notional amount outstanding by asset class and participant type (millions of USD), all products, origins, currencies, tenors, cleared and uncleared.
*See Data Dictionary for asset class descriptions.
**See Explanatory Notes for participant type descriptions.
***N/A indicates that data are not currently available.
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