tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: kate_symes__18199__EESSales_dailyfeb
Sheet: 2-16

NP15 | 2001-02-16 00:00:00 |  |  |  |  |  | SP15 |  |  |  |  |  |  | ZP26
Fixed Peak | 442.08 | Fixed Off Peak | 346 |  |  |  | Fixed Peak | 421.8 |  | Fixed Off Peak | 318.08 |  |  | Fixed Peak | 421.8 | Fixed Off Peak | 318.08
Index Peak |  | Index [NAME] |  |  |  |  | Index Peak |  |  | Index [NAME] |  |  |  | Index Peak |  | Index [NAME]
HE | Fixed | Other | DJ Index | Load | var |  | HE | Fixed | Other | DJ Index | Load | var |  | HE | Fixed | Other | DJ Index | Load | var
1 | 0 | 0 | -9.36 | -9.36 |  |  | 1 | -314.63 | 0 | -54 | -268.63 |  |  | 1 | -2 | 0 | 0 | -2
2 | 0 | 0 | -8.4 | -8.4 |  |  | 2 | -315.36 | 0 | -54 | -257.36 |  |  | 2 | -1.96 | 0 | 0 | -1.96
3 | 0 | 0 | -8.06 | -8.06 | 0 |  | 3 | -315.23 | 0 | -44 | -252.23 |  |  | 3 | -1.94 | 0 | 0 | -1.94
4 | 0 | 0 | -7.99 | -7.99 |  |  | 4 | -315.52 | 0 | -44 | -254.52 |  |  | 4 | -1.94 | 0 | 0 | -1.94
5 | 0 | 0 | -8.21 | -8.21 |  |  | 5 | -315.61 | 0 | -44 | -269.61 |  |  | 5 | -1.94 | 0 | 0 | -1.94
6 | 0 | 0 | -10.48 | -10.48 |  |  | 6 | -313.08 | 0 | -54 | -301.08 |  |  | 6 | -2.04 | 0 | 0 | -2.04
7 | 0 | 0 | -14.29 | -14.29 |  |  | 7 | -256.56 | 0 | -54 | -294.56 |  |  | 7 | -2.2 | 0 | 0 | -2.2
8 | 0 | 0 | -16.62 | -16.62 |  |  | 8 | -254.41 | 0 | -54 | -322.41 |  |  | 8 | -2.3 | 0 | 0 | -2.3
9 | -0.01 | 0 | -17 | -17.01 |  |  | 9 | -254.41 | 0 | -54 | -346.41 |  |  | 9 | -2.31 | 0 | 0 | -2.31
10 | 0 | 0 | -16.13 | -16.13 |  |  | 10 | -255.25 | 0 | -54 | -361.25 |  |  | 10 | -2.28 | 0 | 0 | -2.28
11 | 0 | 0 | -16.12 | -16.12 |  |  | 11 | -254.76 | 0 | -54 | -369.76 |  |  | 11 | -2.28 | 0 | 0 | -2.28
12 | -0.23 | 0 | -17 | -17.23 |  |  | 12 | -253.59 | 0 | -54 | -372.59 |  |  | 12 | -2.33 | 0 | 0 | -2.33
13 | -0.14 | 0 | -17 | -17.14 |  |  | 13 | -253.92 | 0 | -54 | -374.92 |  |  | 13 | -2.32 | 0 | 0 | -2.32
14 | 0 | 0 | -16.82 | -16.82 |  |  | 14 | -254 | 0 | -54 | -374 |  |  | 14 | -2.3 | 0 | 0 | -2.3
15 | 0 | 0 | -16.46 | -16.46 |  |  | 15 | -254.65 | 0 | -54 | -369.65 |  |  | 15 | -2.29 | 0 | 0 | -2.29
16 | 0 | 0 | -16.35 | -16.35 |  |  | 16 | -254.54 | 0 | -54 | -364.54 |  |  | 16 | -2.29 | 0 | 0 | -2.29
17 | 0 | 0 | -16.39 | -16.39 |  |  | 17 | -254.39 | 0 | -54 | -351.39 |  |  | 17 | -2.29 | 0 | 0 | -2.29
18 | -0.58 | 0 | -17 | -17.58 |  |  | 18 | -253.64 | 0 | -54 | -345.64 |  |  | 18 | -2.33 | 0 | 0 | -2.33
19 | -2.67 | 0 | -17 | -19.67 |  |  | 19 | -251.44 | 0 | -54 | -339.44 |  |  | 19 | -2.43 | 0 | 0 | -2.43
20 | -0.92 | 0 | -17 | -17.92 |  |  | 20 | -253.43 | 0 | -54 | -327.43 |  |  | 20 | -2.35 | 0 | 0 | -2.35
21 | 0 | 0 | -16.36 | -16.36 |  |  | 21 | -254.5 | 0 | -54 | -316.5 |  |  | 21 | -2.29 | 0 | 0 | -2.29
22 | 0 | 0 | -15.13 | -15.13 |  |  | 22 | -256.5 | 0 | -54 | -295.5 |  |  | 22 | -2.24 | 0 | 0 | -2.24
23 | 0 | 0 | -13.34 | -13.34 |  |  | 23 | -310.39 | 0 | -54 | -317.39 |  |  | 23 | -2.16 | 0 | 0 | -2.16
24 | 0 | 0 | -11.35 | -11.35 |  |  | 24 | -311.91 | 0 | -54 | -291.91 |  |  | 24 | -2.08 | 0 | 0 | -2.08
Spreadsheet: andy_zipper__657__NYMEX Straddles
Sheet: Sheet1

 |  |  | Natural Gas Straddles
 | Month | Strke | Bid | Offer | Volatility | Net Change
 | Z | 270 | 13 | 15 | 0.95 | 0
 | F | 295 | 61 | 63 | 0.9126999999999897 | 0.0317999999999965
 | G | 300 | 81 | 84 | 0.8378999999999903 | 0.01439999999999841
 | H | 295 | 86 | 88 | 0.7537999999999919 | 0.02279999999999749
 | J | 290 | 79 | 82 | 0.6246999999999902 | 0.01649999999999818
 | K | 290 | 81 | 84 | 0.5713499999999899 | 0.009299999999998976 |  |  | Z/H | 288.3333333333333 | 52.83333333333334
 | M | 295 | 87 | 92 | 0.560799999999989 | 0.01469999999999838 |  |  | J/V | 297.1428571428572 | 96.25
 | N | 300 | 94 | 97 | 0.5489999999999743 | 0.01079999999999881
 | Q | 300 | 101 | 106 | 0.556549999999974 | 0.02489999999999726
 | U | 300 | 105 | 111 | 0.5503999999999747 | 0.018149999999998
 | V | 305 | 113 | 115.5 | 0.5493499999999748 | 0.01049999999999884
 | X | 320 | 122 | 130 | 0.5503999999999747 | 0.01079999999999881
 | [NAME] | 340 | 135 | 142 | 0.5497999999999748 | 0
 | H03 | 350 | 145 | 150
 |  |  | 2001-11-26 14:33:25.300000
 |  |  | Crude Oil Straddles
 | Month | Strke | Bid | Offer | Volatility | Net Change
 | F | 1850 | 216 | 222 | 0.6638499999999817 | 0.005999999999999339
 | G | 1900 | 338 | 350 | 0.6083499999999887 | 0.02594999999999714
 | H | 1900 | 405 | 415 | 0.5817999999999898 | 0.01859999999999795
 | J | 1900 | 445 | 460 | 0.5498999999999912 | 0.009299999999998976
 | K | 1950 | 485 | 500 | 0.5178999999999921 | -0.01109999999999878
 | M | 1950 | 505 | 525 | 0.4948499999999931 | -0.003299999999999637
 | N | 1950 | 525 | 545 | 0.4748499999999927 | 0.01049999999999884
 | Q | 1950 | 535 | 550 | 0.4499499999999933 | 0.01094999999999879
 | U | 2000 | 540 | 555 | 0.423599999999995 | 0.004499999999999504
 | V | 2000 | 540 | 555 | 0.4001499999999953 | -0.005249999999999422
 | X | 2000 | 540 | 555 | #[NAME]! | #[NAME]!
 | Z | 2000 | 545 | 550 | 0.3149999999999936 | 0
 | F03 |  |  |  | #[NAME]! | #[NAME]!
 |  |  | 2001-11-26 14:37:50.070000
Spreadsheet: darrell_schoolcraft__7334__imball0203
Sheet: DEFS

 | 23995 |  | 22051
 | 59687 |  | 10703
Day | Measured | Scheduled | Measured | Scheduled | Totals
1 | 674 |  | 34705 | 34133
2 | 318 |  | 34620 | 34133
3 | 423 |  | 34786 | 34133
4 | 713 |  | 34587 | 34133
5 | 772 |  | 34764 | 33120
6 | 596 |  | 34664 | 33120
7 | 408 |  | 34690 | 34133
8 | 294 |  | 33684 | 33120
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30 |  |  |  |  |  |  | CBS Volume | 23995 | 22051
31 |  |  |  |  |  |  |  | -183022 | -164488
2002-02-28 00:00:00 | Balance | -1033420.01 |  | -647086.22
2002-03-08 00:00:00 | Balance
 |  |  |  | Contract #
 |  |  |  | 22864 | 0 | Zia |  |  | 22864
 |  |  |  | 20379 | -51695.87 | Grayco/Artesia |  |  | 20379 | 2979
 |  |  |  | 26357 |  | [NAME] |  |  | 26357
 |  |  |  | 21544 | 61340.16 | [NAME], [NAME] |  |  | 21544 | 36108
 |  |  |  | 24532 | -1200266.6 | 500211,500212,500219,500230 - Coburn points |  |  | 24532 | -169549
 |  |  |  | Duke
20379
24532
21544
26357
22864
23995
22051
21665
22664
24361
26393
24268
Spreadsheet: 0bcd5ad7-934f-4994-970e-0b8702bcabb7
Sheet: 19

 |  | Broker** |  | Non-Broker |  | TOTAL
Product |  | Cleared*** | Uncleared | Cleared | Uncleared | Cleared | Uncleared
Swap* | CFD
 | Dividend
 | Equity Swap
 | Portfolio
 | [NAME]
Option | Accumulator/Decumulator
 | Vanilla (put/call)
 | [NAME]
Forward | Vanilla
Exotic
Structured Products
TOTAL |  | N/A**** | N/A | N/A | N/A | N/A | N/A
Estimated swap transaction volumes, month ending April 30, by product, participant type, and cleared status (in number of transactions).
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 Explanatory Notes for more detail.
*See Data Dictionary for product descriptions.
**See Explanatory Notes for participant type descriptions.
***See Explanatory Notes for cleared and uncleared 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: 820659d1678218465-counting-available-beds-in-a-facility-sample
Sheet: Tabelle1

 | Room | Sex | Name | Infos | Planning |  | Available Beds
 | 1 | m | Mr. [NAME]
 | 2 |  |  |  |  |  | Female
 | 2 | f | Mrs. [NAME] |  |  |  |  | H5 should display the number of available female beds, in this example 1 in Room 2
 | 3
 | 3 |  |  |  |  |  | Male
 | 4 |  |  |  |  |  |  | H8 should display the number of available male beds, in this example 1 in room 4
 | 4 | m | Mr. [NAME]
 | 5 |  |  |  |  |  | Unisex
 | 6 | f | Mrs. [NAME] |  |  |  |  | H11 should display the number of available unisex beds, in this example 5 (room 3, 5, 7)
 | 7
 | 7
 | The ward has 7 rooms with a total of 11 beds.
Spreadsheet: 782787d1654269427-running-totals-in-a-financial-summary-monthly-budget-template
Sheet: Sheet3

MONTHLY BUDGET AND EXPENSES
FACULTY OF ARTS AND SCIENCE (FAS)
[NAME] | Month | Budget
Total | June | 10000
Total Expenses |  | 7000
BALANCE |  | 0
A |  | Budget
Groceries
Personal Supplies
Clothing
Cleaning
Education/Lessons
Dining/Eating Out
Salon/Barber
Pet Food
Other
Total A |  | 1000
B |  | Budget
Videos/DVDs
Music
Games
Rentals
Movies/Theater
Concerts/Plays
Books
Hobbies
Film/Photos
Sports
Outdoor Recreation
Toys/Gadgets
Vacation/Travel
Other
Total B |  | 4000
C |  | Budget
Emergency Fund
Transfer to Savings
Retirement (401k, IRA)
Investments
Education
Other
Total C |  | 3000
D |  | Budget
Student Loan
Other Loan
Credit Cards
Alimony/Child Support
Federal Taxes
State/Local Taxes
Other
Total D
E |  | Budget
Bank Fees
Postage
Other
Other
Total E
Spreadsheet: 06ede08c-f75e-4c3b-a6c3-1188f46ba714
Sheet: Sheet1

Table 1 -- USDA's Interagency Commodity Estimates Committee forecasts of 2012/13 U.S. sugarbeet and beet sugar production parameters | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8
and USDA estimates of the parameters since 2002/03, Sept - August crop year.
 | Area planted | Area harvested |  | Crop yield | Sugarbeet production | Beet sugar production | Sucrose recovery | Sugar yield
 | (1,000 acres) | (1,000 acres) | (Percent of planted) | (Tons/acre) | (1,000 tons) | (1,000 tons, raw value) | (percent) | ([NAME],raw basis/acre)
2002/03 | 1427.3 | 1361.1 | 95.36187206613886 | 20.356329439424 | 27707 | 4220.01 | 15.23084419099867 | 3.100440819925061
2003/04 | 1365.4 | 1347.8 | 98.71100043943166 | 22.78527971509126 | 30710 | 4911.9 | 15.99446434386193 | 3.644383439679478
2004/05 | 1345.6 | 1306.7 | 97.10909631391202 | 22.97466901354558 | 30021 | 4576.168 | 15.24322307717931 | 3.502080048978342
2005/06 | 1299.8 | 1242.9 | 95.62240344668412 | 22.07176764019631 | 27433 | 4299.12 | 15.67134473079867 | 3.458942795076032
2006/07 | 1366.2 | 1303.6 | 95.41794759186062 | 26.13071494323412 | 34064 | 5057.119000000001 | 14.84593412400188 | 3.879348726603253
2007/08 | 1268.8 | 1246.9 | 98.27395964691048 | 25.53051567888363 | 31834 | 4846.003000000001 | 15.22272727272727 | 3.886440773117331
2008/09 | 1090.7 | 1004.5 | 92.09681855689007 | 26.76057740169238 | 26881 | 4086.658 | 15.20277519437521 | 4.068350423096068
2009/10 | 1185.8 | 1148.5 | 96.85444425704166 | 25.9320853286896 | 29783 | 4457.244 | 14.96573212906692 | 3.880926425772747
2010/11 | 1171.9 | 1156.1 | 98.65176209574194 | 27.70867572009341 | 32034 | 4897.121 | 15.28726041081351 | 4.235897413718537
2011/12 | 1232.7 | 1213.1 | 98.40999432140828 | 23.76391064215646 | 28828 | 4525 | 15.69654502566949 | 3.730112933805952
2012/13 | 1244.1 | 1215.9 | 97.73330118157706 | 27.19356691997697 | 33064.658018 | 5151.48941891297 | 15.58004748184167 | 4.237 1/
1/ Forecast equation: Sugar yield = 0.021785*Trend[2012/13=32] +0.130165*Sugarbeet yield: [NAME] = 0.956; sample: 1980/81 - 2011/12
Source: historical data - USDA, NASS, Crop Report; USDA, FSA, Sweetener Market Data; Forecast - USDA, ICEC for sugar.
Spreadsheet: b786e925-13c5-48fa-bbc6-01efadb38d25
Sheet: Sheet1

Battle ID | Date & Time | Side | Victory | Score | Opp. Score | Opp. ID | Opp. Name | Scenario ID | Front | Start Date | End Date | Name EN | Name FR
36063007 | 2013-05-22 22:12:41 | AXIS | 1 | 7 | 6 | 1170149 | Magneto2 | 7661 | eastern | 1944-02-16 | 1944-02-17 | Breakout to Lisyanka | [NAME]
Spreadsheet: 793622d1661584320-pull-turn-static-values-into-a-dynamic-array-without-using-offset-excel-problem-1-
Sheet: Sheet1

 | [NAME] | 15 |  |  | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14
Method 1
 |  | INPUT ROW |  |  | 4 |  | 7 |  |  | 10 |  |  | 15
 |  | OUTPUT (USING OFFSET)
 |  |  |  |  | 4 | 0 | 7 | 0 | 0 | 10 | 0 | 0 | 15 | 0 | 0 | 0 | 0 | 0
Method 2
 |  | INPUT ROW |  |  | 4 |  | 7 |  |  | 10 |  |  | 15
 |  | Step 1 |  |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
 |  | Step 2 |  |  | 4 | 4 | 11 | 11 | 11 | 21 | 21 | 21 | 36 | 36 | 36 | 36 | 36 | 36
 |  | Step 3 |  |  | 4 | 0 | 7 | 0 | 0 | 10 | 0 | 0 | 15 | 0 | 0 | 0 | 0 | 0
 |  |  |  | I usually just place put a IF(time<1 or an IFERROR to make the #N/A = 0
 |  |  |  | But left it as is for the sake of showing how messy this method is
Spreadsheet: 70711d1271420261-excel-2007-lookup-and-return-associated-data-for-each-item-found-commission-template
Sheet: Sheet1

 |  |  |  |  |  |  |  |  | SALES PRICE |  | GROSS PROFIT
MONTH | SALESMAN | CHASSIS# | CUSTOMER | C8/MT | MODEL | C/T/P | DEL DATE | N/U/A | NEW | USED | NEW | USED | YTD
FEB | JONES | 394118 | [NAME] |  | [NAME] | T | 2010-02-05 00:00:00 | U |  | 58600 |  | 8284.97 | 8284.97
FEB | SMITH | 394118 | [NAME] |  | [NAME] | T | 2010-03-16 00:00:00 | A |  |  |  |  | 8284.97
FEB | JONES | 412138 | FRED LAWSON |  | VNL64T | T | 2010-02-18 00:00:00 | U |  | 38100 |  | 3971.46 | 12256.43
APR | TAYLOR | 6222 | [NAME] |  | CHU613 | P | 2010-04-07 00:00:00 | U |  | 100000 |  | 7053.22 | 19309.65
FEB | SMITH | 279283 | [NAME] |  |  |  |  | A |  |  |  |  | 19309.65
MAR | JONES | 280678 | MIKE PEARSON | C8 | VT64T |  | 2010-03-12 00:00:00 | N | 113200 |  | 3916.44 |  | 23226.09
Need lookup formula that will look for ALL instances of "Jones" in the range B3:N8.  For each instance of Jones, return all the data associated with that record
Should return
FEB | JONES | 394118 | [NAME] |  | [NAME] | T | 2010-02-05 00:00:00 | U |  | 58600 |  | 8284.97 | 8284.97
FEB | JONES | 412138 | FRED LAWSON |  | VNL64T | T | 2010-02-18 00:00:00 | U |  | 38100 |  | 3971.46 | 12256.43
MAR | JONES | 280678 | MIKE PEARSON | C8 | VT64T |  | 2010-03-12 00:00:00 | N | 113200 |  | 3916.44 |  | 16172.87
Spreadsheet: 3e21e81c-39bf-45b0-aefe-e1bd1c17fd1a
Sheet: Sheet1

Test Referenced | Entry Type | Mayo ID | Description | Reporting Description | Method | Collection Container | Temperature | Stability | [NAME] | Unit of Measure | [NAME] | Minimum Volume | Reject Due To | Reference Values | Days/Times Performed | Analytic Time | Maximum Lab Time | CPT Units | CPT Code | LOINC® Code | LOINC® Attributes | Always Performed | Orderable Separately | Performing Location
FS | Test | FS | Fungal Smear | Fungal Smear | Calcofluor/KOH Stain | Varies: Var |  |  |  | Varies | [NAME] must arrive within 24 hours of collection.   Container/Tube: Sterile container [NAME]: Entire collection Collection Instructions: Collect a raw specimen. Additional Information: Specimen source is required. Forms: If not ordering electronically, submit a Microbiology Request Form (Supply T244) with the specimen. |  | Hemolysis	NA Thawing	NA Lipemia	NA Icterus	NA Other	Fixed tissue; viral transport media (including but not limited to M4, M5, BD viral transport media, thioglycolate broth); specimen source of environmental; wood shaft or charcoal swab | Negative | Monday through Sunday; Continuously | 1 day | 2 days | 1 | 87206 |  |  |  |  | Rochester
FS | [NAME] | VARIES | Varies |  |  |  | Refrigerated | 7 days
FS | Order Question | Q00M0023 | [NAME] |  | Plain Text
FS | Result | FS | Fungal Smear | Fungal Smear | Alphanumeric |  |  |  |  |  |  |  |  |  |  |  |  |  |  | In Process
Spreadsheet: 326982d1403343345-using-sumifs-across-multiple-sheets-problem-in-re-opening-master-sheet-templete
Sheet: Sheet1

 |  | Projects Manhours Tracking
 |  | Date: |  |  |  |  |  |  |  |  |  |  |  |  | 2014-06-20 00:00:00
Sr. No. | Prj No. | Current Person  InCharge | WP1 | WP2 | WP3 | [NAME] | WP5 | WP6 | WP7 | WP8 | Overall Project  completion (%) | Target Date | Completion Date | Project Status | Planned Manhours | Actual Manhours | Plan of Action
 |  |  | Input | Concept | Drafting | Modelling | Analysis / Calculation | Report | Verification | Others
1 | 295
 | 307
 | 119
 | 163
 | 243
 | 292
 | 295
 | 296
 | 309
 | 311
 | 312
 | 313
 | 315
 | 319
 | 320
 | 322
 | 324
 | 325
 | 326
 | 328
 | 329
 | 330
 | 307
 | 308
 | VCF0020
 | VCF0019
Spreadsheet: 0bfb3a86-bd4a-4f4d-9eea-c4daeb704eda
Sheet: Table S4

Table S4: PFAM domains that map to disordered regions in human spliceosomal proteins.
PFAM domain | Number of copies | Proteins | Protein group | Predicted presence in LECA | Protein abundance | Note
LUC7 | 1 | LUC7B1 | A-complex | LECA | Non-abundant | zinc finger (*)
P68HR | 2 | p68 | A-complex |  | Non-abundant
PRCC_Cterm | 1 | PRCC | B-act complex | LECA | Non-abundant
CWC25 | 1 | CCDC49 | B-complex | LECA | Non-abundant
DUF2040 | 1 | CCDC55 | B-complex | LECA | Non-abundant
MFAP1_C | 1 | MFAP1 | B-complex | LECA | Abundant
RED_C | 1 | RED | B-complex | LECA | Abundant
RED_N | 1 | RED | B-complex | LECA | Abundant
SMC_N | 1 | Prp38b | B-complex | LECA | Non-abundant
TIP_N | 1 | TFIP11 | B-complex | LECA | Non-abundant
Cactin_mid | 1 | NY-REN-24 | C-complex | LECA | Abundant
DUF1754 | 1 | DKFZP586O0120 | C-complex | LECA | Non-abundant
DUF572 | 1 | CCDC130 | C-complex | LECA | Non-abundant
Es2 | 1 | DGCR14 | C-complex | LECA | Non-abundant
Hep_59 | 1 | HSPC220 | C-complex | LECA | Abundant
[NAME] | 1 | GCIP p29 | C-complex | LECA | Abundant
SynMuv_product | 1 | FLJ22626 | C-complex | LECA | Non-abundant
Btz | 1 | MLN51 | EJC | LECA | Non-abundant | found in experimental structure
Pinin_SDK_memA | 1 | [NAME] | EJC | LECA | Non-abundant
Pinin_SDK_N | 1 | [NAME] | EJC |  | Non-abundant
CBFNT | 2 | hnRNP AB, hnRNP D | hnRNP |  | Abundant
HnRNP_M | 1 | hnRNP M | hnRNP |  | Non-abundant
HnRNPA1 | 3 | hnRNP [NAME], hnRNP A0, hnRNP A2/B1 | hnRNP |  | Abundant
RBM1CTR | 2 | hnRNP G, hnRNP G-T | hnRNP |  | Non-abundant
ROKNT | 1 | hnRNP K | hnRNP |  | Non-abundant
Cwf_Cwc_15 | 1 | CCAP2 | hPrp19 / CDC5 | LECA | Abundant
DUF3351 | 1 | CDC5L | hPrp19 / CDC5 | LECA | Abundant
THOC7 | 1 | SPF27 | hPrp19 / CDC5 | LECA | Abundant
Wbp11 | 1 | Npw38BP | hPrp19 / CDC5 | LECA | Non-abundant
SKIP_SNW | 1 | SKIP | hPrp19 / CDC5-related | LECA | Abundant
NOPS | 1 | PSF | miscellaneous |  | Non-abundant
ARS2 | 1 | ASR2B | [NAME] | LECA | Abundant | zinc finger (*)
Bud13 | 1 | MGC13125 | RES | LECA | Non-abundant
DUF3449 | 1 | SF3a60 | SF3A | LECA | Abundant | zinc finger (*)
PRP21_like_P | 1 | SF3a120 | SF3A | LECA | Abundant | zinc finger (*)
DUF382 | 1 | SF3b145 | [NAME] | LECA | Abundant
SF3b1 | 1 | SF3b155 | [NAME] | LECA | Abundant | found in experimental structure
Slu7 | 1 | hSlu7 | step 2 factors | LECA | Abundant
efThoc1 | 1 | THOC1 | TREX | LECA | Non-abundant
FimP | 1 | THOC5 | TREX | LECA | Non-abundant
U1snRNP70_N | 1 | U1-70K | U1 | LECA | Abundant | found in experimental structure
PRP3 | 1 | U4/U6-90K | U4/U6 | LECA | Abundant
Prp31_C | 1 | U4/U6-61K | U4/U6 | LECA | Abundant
DUF1777 | 1 | U4/U6.U5-27K | U4/U6.U5 | LECA | Abundant
SART-1 | 1 | U4/U6.U5-110K | U4/U6.U5 | LECA | Abundant
PRP1_N | 1 | U5-102K | U5 | LECA | Abundant
Footnote:
(*) ([NAME], 2012)
Spreadsheet: 727955d1618231089-extract-records-between-dates-on-multiple-condition-sample-file
Sheet: Sheet1

Table1 |  |  |  |  |  | Records |  | Result for the date | 2020-03-31 00:00:00 | <<<< Result Date
Docno | Originate | Responded |  |  |  |  | Docno | Originate | Responded
345 | 2019-12-07 00:00:00 | 00:00:00
378 | 2020-01-08 00:00:00 | 00:00:00
482 | 2020-03-04 00:00:00 | 2020-04-14 00:00:00
627 | 2020-05-16 00:00:00 | 2020-06-08 00:00:00 |  |  | [NAME] I used >>>>
848 | 2020-12-07 00:00:00 | 2021-01-01 00:00:00
1023 | 2021-03-04 00:00:00 | 2021-03-31 00:00:00
1238 | 2021-03-04 00:00:00 | 2021-04-04 00:00:00
 |  |  |  |  |  |  |  | Result for the date | 2021-03-31 00:00:00 | <<<< If I change result date to 31/03/2021 then
 |  |  |  |  |  |  | Docno | Originate | Responded
 |  |  |  |  |  |  | 345 | 2019-12-07 00:00:00 | 00:00:00
 |  |  |  |  |  |  | 378 | 2020-01-08 00:00:00 | 00:00:00
 |  |  |  |  |  |  | 1238 | 2021-03-04 00:00:00 | 2021-04-04 00:00:00
Spreadsheet: 2694e971-60c7-46dd-9db1-e747cdfb8c87
Sheet: Sheet1

[NAME] | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5
Quelle: http://ergebnisse.vimentis.ch/
Frage:
Vermögende Ausländerinnen und Ausländer werden in Zukunft im [NAME] Einkommen und Vermögen besteuert. [NAME] ist nicht mehr möglich.
 | Welches ist Ihre höchste abgeschlossene Ausbildung?
Antwort | Obligatorische Schule oder (noch) keine abgeschlossene Ausbildung | [NAME], [NAME], berufsvorbereitende [NAME], [NAME] | Maturitätsschule, Diplommittelschule | Höhere Fach- oder [NAME] ([NAME]. Fach- oder [NAME], HKG, TS) | Universität, Hochschule, Fachhochschule, Höhere Fachschule ([NAME], HWV, HFG, HFS)
[NAME] | 0.67 | 0.74 | 0.7 | 0.64 | 0.66
[NAME] | 0.18 | 0.19 | 0.2 | 0.3 | 0.27
Neutral / Weiss nicht | 0.15 | 0.07 | 0.09 | 0.06 | 0.07
Angaben zu den [NAME]
Erhebungsjahr | 2010
Stichprobengrösse | 29292
Erhebungszeitraum | 02.10.2010 bis: 06.12.2010
[NAME] | [NAME]
Methodik / Repräsentativität
Um soziodemographische Verzerrungen [NAME], wurden sämtliche [NAME] nach [NAME], Alter, Bildung und Region gemäss der wahren [NAME] älter als 15 Jahre gewichtet. Es bleibt eine psychographische Verzerrung wegen
der [NAME] über das Internet, welche nicht korrigiert [NAME]. Diese Verzerrung wird anhand einzelner [NAME] für jede [NAME] abgeschätzt. Demnach sind [NAME] auf dieser Seite angegebenen [NAME] mit einer
Präzision von &plusmn;2% [NAME].
[NAME] und [NAME] auf dieser Seite dürfen unter Angabe der Quelle weiterverwendet werden.
Spreadsheet: 774396d1648457667-removing-time-stamps-that-are-less-then-x-seconds-after-the-previous-time-stamp-example-time
Sheet: Sheet1

YEAR |  | MONTH |  | DAY |  | HOUR |  | MINUTE |  | SECOND |  |  | DATE | TIME |  | New Time |  | Errors
2022 |  | 03 |  | 16 |  | 06 |  | 37 |  | 37.286888201
2022 |  | 03 |  | 16 |  | 06 |  | 38 |  | 57.803293075
2022 |  | 03 |  | 16 |  | 06 |  | 39 |  | 55.702696583
2022 |  | 03 |  | 16 |  | 06 |  | 40 |  | 52.298832157
2022 |  | 03 |  | 16 |  | 06 |  | 41 |  | 22.361894449
2022 |  | 03 |  | 16 |  | 06 |  | 41 |  | 53.759021682
2022 |  | 03 |  | 16 |  | 06 |  | 42 |  | 32.563458551
2022 |  | 03 |  | 18 |  | 01 |  | 47 |  | 16.772180474
2022 |  | 03 |  | 18 |  | 01 |  | 55 |  | 29.081497242
2022 |  | 03 |  | 18 |  | 01 |  | 56 |  | 48.992103445
2022 |  | 03 |  | 18 |  | 01 |  | 57 |  | 06.153136562
2022 |  | 03 |  | 18 |  | 02 |  | 00 |  | 51.205823250
2022 |  | 03 |  | 18 |  | 02 |  | 01 |  | 21.268773632
2022 |  | 03 |  | 18 |  | 02 |  | 03 |  | 42.641710577
2022 |  | 03 |  | 18 |  | 02 |  | 09 |  | 38.327256588
2022 |  | 03 |  | 18 |  | 02 |  | 10 |  | 08.390222403
2022 |  | 03 |  | 18 |  | 02 |  | 13 |  | 22.675620826
2022 |  | 03 |  | 18 |  | 02 |  | 13 |  | 52.738636748
2022 |  | 03 |  | 18 |  | 02 |  | 15 |  | 29.579837570
2022 |  | 03 |  | 18 |  | 02 |  | 19 |  | 42.015558157
2022 |  | 03 |  | 18 |  | 02 |  | 25 |  | 08.590306199
2022 |  | 03 |  | 18 |  | 02 |  | 25 |  | 38.653283326