tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 00aad37d-845a-4235-8e8c-df320b8183d9
Sheet: Sheet1

Table 10--Global rice exporters, calendar years 2010-2012; monthly revisions and annual changes | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11 | Unnamed: 12 | Unnamed: 13
 | 2010 |  |  |  | 2011 1/ |  |  |  |  |  | 2012 1/
 | January |  | December | January |  | Monthly | Annual |  | December | January |  | Monthly | Annual
 | 2011 |  | 2011 | 2011 |  | revisions | changes |  | 2011 | 2011 |  | revisions | changes
 |  |  |  |  | 1,000 metric tons (milled basis) |  |  |  |  |  | 1,000 metric tons (milled basis)
Argentina | 468 |  | 600 | 630 |  | 30 | 162 |  | 650 | 650 |  | 0 | 20
Australia | 54 |  | 350 | 350 |  | 0 | 296 |  | 450 | 450 |  | 0 | 100
Brazil | 430 |  | 1250 | 1300 |  | 50 | 870 |  | 900 | 650 |  | -250 | -650
Burma | 445 |  | 750 | 750 |  | 0 | 305 |  | 750 | 750 |  | 0 | 0
Cambodia | 1000 |  | 1000 | 1000 |  | 0 | 0 |  | 700 | 1000 |  | 300 | 0
China | 619 |  | 500 | 500 |  | 0 | -119 |  | 600 | 600 |  | 0 | 100
Ecuador | 60 |  | 70 | 70 |  | 0 | 10 |  | 15 | 15 |  | 0 | -55
Egypt | 570 |  | 120 | 120 |  | 0 | -450 |  | 500 | 500 |  | 0 | 380
European Union-27 | 282 |  | 300 | 300 |  | 0 | 18 |  | 350 | 350 |  | 0 | 50
Guyana | 275 |  | 250 | 250 |  | 0 | -25 |  | 230 | 230 |  | 0 | -20
India | 2052 |  | 3800 | 3800 |  | 0 | 1748 |  | 4500 | 4500 |  | 0 | 700
Japan | 200 |  | 200 | 200 |  | 0 | 0 |  | 150 | 150 |  | 0 | -50
Korea, South | 4 |  | 3 | 3 |  | 0 | -1 |  | 3 | 3 |  | 0 | 0
Pakistan | 4000 |  | 3000 | 3000 |  | 0 | -1000 |  | 3750 | 3750 |  | 0 | 750
Paraguay | 135 |  | 220 | 220 |  | 0 | 85 |  | 150 | 150 |  | 0 | -70
Peru | 55 |  | 50 | 50 |  | 0 | -5 |  | 20 | 20 |  | 0 | -30
Russia | 154 |  | 185 | 125 |  | -60 | -29 |  | 175 | 150 |  | -25 | 25
Thailand | 9047 |  | 10500 | 10500 |  | 0 | 1453 |  | 8000 | 7000 |  | -1000 | -3500
Turkey | 52 |  | 90 | 90 |  | 0 | 38 |  | 95 | 95 |  | 0 | 5
Uganda | 25 |  | 30 | 30 |  | 0 | 5 |  | 30 | 30 |  | 0 | 0
United States | 3868 |  | 3250 | 3250 |  | 0 | -618 |  | 3050 | 3050 |  | 0 | -200
Uruguay | 808 |  | 975 | 975 |  | 0 | 167 |  | 850 | 850 |  | 0 | -125
Vietnam | 6734 |  | 7000 | 7000 |  | 0 | 266 |  | 6700 | 6700 |  | 0 | -300
Subtotal | 31337 |  | 34493 | 34513 |  | 20 | 3176 |  | 32618 | 31643 |  | -975 | -2870
Other | 268 |  | 271 | 269 |  | -2 | 0 |  | 237 | 237 |  | 0 | -32
World total | 31605 |  | 34764 | 34782 |  | 18 | 3177 |  | 32855 | 31880 |  | -975 | -2902
U.S. Share | 0.1223856984654327 |  | 0.09348751582096422 | 0.09343913518486574 |  | -- | -- |  | 0.09283214122660173 | 0.09567126725219574 |  | -- | --
-- Not available.  Note: All trade data are reported on a calendar-year basis.
1/ Projected.
Source: Production, Supply, & Distribution Online Data Base, FAS/USDA, http://www.fas.usda.gov/psdonline/psdHome.aspx.
Last updated January 12, 2012.
Spreadsheet: 269884d1381316090-look-for-a-list-of-keywords-in-a-cell-and-then-return-the-content-of-the-found-cell-book1
Sheet: Sheet1

 | [NAME] | NL | [NAME]: | 2000 | [NAME] | 10
D.Eng C LC2A-NL30 11/10-F-12-1760
D.Eng C LC2A-NL30 11/10-F-12-1800
D.Eng C LC2A-NL30 13/12-F-12-2000
D.Eng C LC2A-NL30 14/13-F-12-2100
D.Eng C LC2A-NL30 15/14-F-12-2200
D.Eng C LC2A-NL30 15/14-F-12-2350
D.Eng C LC2A-NL30 16/15-F-12-2400
Spreadsheet: 94589d1294355681-invoicing-problem-running-total-invoicingprogram
Sheet: Fri

Friday
Whole | [NAME] | Mugs | Dose | Mitch | Crema | TTruck | Roast | HrmHot | Fiddle | SkyB | Cust1 | Cust2 | RETAIL | Total
Plain | 0 | 0.5 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 0 |  |  | 2
ET | 0 | 1 | 1.5 | 1 | 0 | 0 | 0 |  |  | 0 |  |  | 4
WW | 0 | 0.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |  |  | 1.5
CR | 0 | 0.5 | 0.5 | 0 | 0 |  |  |  |  | 0 |  |  | 1.5
SES | 0 | 0.5 | 1 | 0 | 0 |  | 0 |  |  | 0 |  |  | 1
POP | 0 | 0 | 0 | 0 | 0 |  | 0 |  |  |  |  |  | 1
Blue | 0 | 0 | 0 | 0 | 0 |  |  |  |  |  |  |  | 1
SourD | 0 | 0 | 0 | 0 | 0 |  |  |  |  |  |  |  | 1
Salt | 0 | 0 | 0 | 0 | 0 |  |  |  |  |  |  |  | 1
Spec | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |  |  | 1.5
Total
Spreadsheet: 851754d1701893641-return-true-if-row-number-matches-a-variable-row-number
Sheet: Sheet1

Player # | Score | Scratched |  | Player #: | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10
1 | 1.26
2 | 1.12 |  |  |  | True | True | True | False |  | False |  | False | False | True
3 | 1.12
4 | 0.95
5 |  | x
6 | 0.95
7 |  | x
8 | 0.95
9 | 0.95
10 | 1.35
Spreadsheet: 122327d1316733498-rounding-hst-calculation
Sheet: Sheet1

115 |  |  |  |  |  |  | Sample Row
Gross Amount | Taxable Amount | QB Expense | FED Amount | NS Amount | Check Value | Difference | Vendor | QuickBooks Expense Account
100.05
Spreadsheet: 85606d1285689323-sumproduct-stocks-sample
Sheet: MASTER DATA

MASTER DATA FOR ALL BEDROOMS
MODEL | FURNITURE | BRACKETS FOR BEDS | TUBE HOLDERS | TUBE | HINGE | BUFFERS | GLIDERS | KDS 12.5MM | KDS 9.00MM | ALUMINIUM STRIP FOR TOPS | METAL BASE 150 X 190 | METAL BASE 90 X 200 | DRAWER RUNNER | HOOKS | checksum
ALASKA | IRON BED + SIDES + FOOTBOARD (150CM) | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |  |  | 5
ALASKA | IRON BED + SIDES + FOOTBOARD (180CM) | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |  |  | 7
ALASKA | 6 DOOR WARDROBE + 2 ROUNDED SIDES | 0 | 10 | 5 | 24 | 12 | 20 | 36 | 16 | 0 | 0 | 0 |  |  | 123
ALASKA | BEDSIDE TABLE + 2 ROUNDED SIDES | 0 | 0 | 0 | 2 | 2 | 6 | 8 | 4 | 0 | 0 | 0 |  |  | 22
ALASKA | CHEST OF 3 DRAWERS + 2 ROUNDED SIDES | 0 | 0 | 0 | 0 | 0 | 18 | 12 | 4 | 1 | 0 | 0 | 3 |  | 38
ALASKA | MIRROR | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |  | 2 | 2
ALASKA | TOTALS | 10 | 10 | 5 | 26 | 14 | 44 | 56 | 24 | 1 | 1 | 1 | 3 | 2 | 197
Spreadsheet: 299102d1393001481-formulas-to-add-total-of-different-sheets-within-the-workbook-daily-log-total-formula-error
Sheet: 17-2

 |  |  |  | Daily Overall LOG |  | Date: | 2014-02-17 00:00:00
Production |  |  |  |  |  | Power
 | Pre. Stock | Production | Sales | Stock | House | [NAME]
300ml | 4000 | 4850 | 1500 |  | 500 | Start | End | Total Units
500ml | 144 |  |  |  |  | 16652 | 16670
1000ml | 60 | 888 | 120 |  |  | [NAME] hours
2000ml | 135 | 27 |  |  |  | 15:00:00 | 15:25:00
5ltrs
20ltrs |  | 171 | 118
Pouch | 12 | 77 | 5
Sleeve |  |  |  | Sales
 | Pre. Stock | Consumed | Balance | [NAME] # |  |  |  | Amount
300ml | 12000 |  |  | 2962 |  |  |  | 150
500ml | 18424 |  |  | 2963 |  |  |  | 6318
1000ml | 39267 |  |  | 2964 |  |  |  | 1590
2000ml | 610
5ltrs
20ltrs
BT Neck | 63506
Caps | 15765
BT Caps | 839
Handles | 27
[NAME] |  |  |  | Expenses
300ml | 937 | 100
500ml | 254
1000ml | 1395 | 74
2000ml
JAR
[NAME]
Pouch Roll | 2 | 1
Pouch Bag | 304 | 77
Thread | 8
Tape | 15 | 1
Other Remarks:
Spreadsheet: 215648d1361444169-adding-and-subtracting-numbers-to-a-lump-sum-figure-simple-for-most-example
Sheet: Sheet1

 | BALANCE | 6000 | I want this box to remain as the freely changing value to the formula (if that makes sense)
59.79 |  | 6059.79
-0.05 |  | 6059.74
-65.32 |  | 5994.42
-118.72 |  | 5875.7
-66.66 |  | 5809.04
-22.13 |  | ?
-107.52 |  | ?
57.22 |  | ?
-18.54 |  | ?
-50.01 |  |  | I'd like a formula where the number in column A is subtracted (If negative, less than "0") from the corresponding balance of column C's 'rolling balance'
-111.78 |  |  | and added if the figure in column A is greater than "0"
-0.05
56.33
-0.01
-33.24
55.31
37.7
-46.22
56.09
10.17
57.76
-28.07
58.73
27.88
57.71
82.14
-56.28
62.63
19.31
-119.96
59.55
-0.05
-68.38
56.17
33.65
59.86
13.89
57.36
27.01
-78.76
57.13
45.59
-110.1
58.81
-50.23
-99.81
-74.12
Spreadsheet: 880571d1728373226-return-result-based-on-two-dates-holidays-1-1-
Sheet: Sheet1

 | Name | Department | Start Date | End Date |  | New Holiday |  |  | Name | Department | Start Date | End Date |  | Result | Name | Department | Start Date | End Date |  | Name | Department | Start Date | End Date |  | Name | Department | Start Date | End Date
 | A | 1 | 2024-10-07 00:00:00 | 2024-10-18 00:00:00 |  | 1 |  |  | A | 1 | 2024-01-01 00:00:00 | 2024-01-03 00:00:00
 | A | 1 | 2024-01-01 00:00:00 | 2024-01-03 00:00:00 |  |  |  |  | B | 2 | 2024-03-05 00:00:00 | 2024-07-02 00:00:00 |  |  |  | 1 | 2024-10-11 00:00:00 | 2024-10-20 00:00:00 |  | F | 1900-01-01 00:00:00 | 2024-10-09 00:00:00 | 45575
 | B | 2 | 2024-03-05 00:00:00 | 2024-07-02 00:00:00 |  |  |  |  | C | 1 | 2024-10-11 00:00:00 | 2024-10-20 00:00:00 |  |  | E | 3 | 2024-10-06 00:00:00 | 2024-10-10 00:00:00
 | C | 1 | 2024-10-11 00:00:00 | 2024-10-20 00:00:00 |  |  |  |  | D | 4 | 2024-07-18 00:00:00 | 2024-07-20 00:00:00 |  |  | C | 1 | 2024-10-11 00:00:00 | 2024-10-20 00:00:00 |  | F | 1 | 2024-10-09 00:00:00 | 2024-10-10 00:00:00
 | D | 4 | 2024-07-18 00:00:00 | 2024-07-20 00:00:00 |  |  |  |  | E | 3 | 2024-10-06 00:00:00 | 2024-10-10 00:00:00 |  |  | E | 3 | 2024-10-06 00:00:00 | 2024-10-10 00:00:00
 | E | 3 | 2024-10-06 00:00:00 | 2024-10-10 00:00:00 |  |  |  |  | F | 1 | 2024-10-09 00:00:00 | 2024-10-10 00:00:00
 | F | 1 | 2024-10-09 00:00:00 | 2024-10-10 00:00:00
 | H | 3 | 2024-10-10 00:00:00 | 2024-10-10 00:00:00 |  | 1
Spreadsheet: 775604d1649229110-array-formula-to-produce-cashflow-of-a-bond-frequency
Sheet: Sheet1

Principal | Interest | Frequnecy | Maturity | 2022-01-31 00:00:00 | 2022-02-28 00:00:00 | 2022-03-31 00:00:00 | 2022-04-30 00:00:00 | 2022-05-31 00:00:00 | 2022-06-30 00:00:00 | 2022-07-31 00:00:00 | 2022-08-31 00:00:00 | 2022-09-30 00:00:00 | 2022-10-31 00:00:00 | 2022-11-30 00:00:00 | 2022-12-31 00:00:00 | 2023-01-31 00:00:00 | 2023-02-28 00:00:00 | 2023-03-31 00:00:00 | 2023-04-30 00:00:00 | 2023-05-31 00:00:00 | 2023-06-30 00:00:00 | 2023-07-31 00:00:00 | 2023-08-31 00:00:00 | 2023-09-30 00:00:00 | 2023-10-31 00:00:00 | 2023-11-30 00:00:00 | 2023-12-31 00:00:00
100000 | 1000 | 1 | 2023-08-21 00:00:00
102000 | 1020 | 1 | 2023-11-01 00:00:00
104000 | 1040 | 1 | 2023-09-19 00:00:00
106000 | 1060 | 1 | 2023-02-11 00:00:00
102300 | 1023 | 1 | 2023-05-13 00:00:00
110000 | 1100 | 1 | 2023-01-22 00:00:00
111000 | 1110 | 1 | 2023-06-14 00:00:00
116000 | 1160 | 2 | 2023-02-01 00:00:00
118000 | 1180 | 1 | 2023-05-05 00:00:00
112100 | 1121 | 1 | 2023-01-18 00:00:00
122000 | 1220 | 1 | 2023-02-12 00:00:00
124000 | 1240 | 4 | 2023-06-15 00:00:00
126000 | 1260 | 1 | 2023-07-15 00:00:00
128000 | 1280 | 1 | 2023-09-26 00:00:00
151000 | 1510 | 1 | 2023-11-08 00:00:00
100000 | 1000 | 1 | 2023-01-17 00:00:00
152000 | 1520 | 2 | 2023-05-01 00:00:00
113900 | 1139 | 1 | 2023-06-14 00:00:00
142000 | 1420 | 1 | 2023-03-20 00:00:00
144000 | 1440 | 1 | 2023-11-22 00:00:00
Spreadsheet: darrell_schoolcraft__7638__imball0201
Sheet: EPFS

 | El Paso/TW Eddy Rec |  |  | 27677
 | 78093
Day | Measured | Scheduled
1 | 30077 | 30013
2 | 30198 | 30013
3 | 30012 | 30013
4 | 28849 | 30013
5 | 29803 | 32012
6 | 29404 | 32012
7 | 29513 | 32012
8 | 29387 | 31955
9 | 31998 | 32012
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
2001-12-31 00:00:00 |  |  | 85001.93
2002-01-09 00:00:00
CBS Volume
 |  |  | 54581
Spreadsheet: 328098d1403786925-multiple-variables-to-calculate-a-value-pricing-calculator
Sheet: Therm Hinge

Thermalite Hinged shutters
Only enter data into the purple boxes
64/90/114 (only off white) | [NAME] | [NAME] | [NAME]
For square [NAME] calculation enter [NAME] and [NAME] | 1 | 1
The Price per square metre used in this calculation is $222.00 per Sq Mtr
Includes framing at no extra cost | nil | nil | 0
Stainless steel hinges [NAME] and rebated face hinges add ($11.50 per panel) |  | 11.5
Total cost of goods
Goods are now marked up by 55% and this now becomes your Retail Price before any freight,installation or GST is included.
5% of total wholesale price $70 minimum (per order)
Installation charges are based on $50.00 per panel.Enter the number of panels being fitted. |  | 50
Extra charges. Calculate the retail price for any extra work required  eg Custom painting  etc. Then enter the retail price befor GST into the purple box | 1
Sub Total (We now Add all the figures in the grey boxes)
Add GST to total retail price
Total Retail price
Custom Paint and matching | n/a
Spreadsheet: 50589d1250062551-excel-2007-combing-columns-in-a-cell-and-separating-with-a-coma-nafri-concatif
Sheet: Sheet1

MODEL | PRODUCT
pp2 | lop2 | lop2,lop4
pp2 | lop4
pp3 | lop6 | lop6,lop8,lop10
pp3 | lop8
pp3 | lop10
pp4 | lop12 | lop12,lop14,lop16,lop18
pp4 | lop14
pp4 | lop16
pp4 | lop18
Spreadsheet: 130fa0a9-ec3a-4609-aa7c-5e386c793dcf
Sheet: Sheet1

USDA Pilot Project for the Procurement of Unprocessed Fruit and Vegetables
Eligible Vendor List
States participating in the pilot project may choose to do business with any of the vendors listed below for the product category indicated.
Company Name | Contact Name | Phone Number | [NAME] | Website (Link) | Street Address | City | State | Zip Code | Product Categories
[NAME], LLC | Paul Cordero | [PHONE] | [EMAIL] |  | 18969 [NAME]. | [NAME] | AZ | 85396 | Kale, Swiss Chard, [NAME], Multi-Leaf Lettuce, Beets, Cilantro, and Parsley
Farm Logix, LLC | [NAME] | [PHONE] | [EMAIL] |  | 530 Kedzie St. | Evanston | IL | 60202 | Apples, Potatoes, and the following [NAME] (IQF) products:  Diced Carrots, Cut Green Beans, Corn Kernels, Peas, Diced and [NAME], Cranberries, Blueberries, [NAME], Medleys, and [NAME]
Fry Family Farm | [NAME] | [PHONE] | [EMAIL] |  | 8657 Wagner Creek Rd. | Talent | OR | 97540 | Beets, Spinach, Kales, Chards, Parsley, [NAME], and Cabbage
Winnemucca Farms, Inc. | [NAME] | [PHONE] | [EMAIL] |  | One Potato Place | Winnemucca | NV | 89445 | Russet Potatoes
Fresh Innovations LLC | [NAME] | [PHONE] | [EMAIL] | www.fresh-innovations.com | 1135 Mountain View Ave. | Oxnard | CA | 93030 | Fresh Cut Apple Slices
Taylor Farms California | [NAME] | [PHONE] | [EMAIL] | www.taylorfarmsfoodservice.com | 911-B Blanco Circle | Salinas | CA | 93902 | Fresh Cut Leafy Greens
Spreadsheet: 864791d1711930145-function-to-isolate-duplicate-numbers-isolate-duplicate-numbers-solution-
Sheet: Sheet17

given | results | HD solutions |  |  | Alternative solution
975
1135 | 11 |  |  |  | 1
1351 | 11 |  |  |  | 1
13759
553979 | 59 |  |  |  | 59
1113799 | 19 |  |  |  | 19
Spreadsheet: 1bd6d12c-2777-4e4b-9991-8e70c102b579
Sheet: Sheet1

PROG ID | ATHLETE ID | ATHLETE FIRST | ATHLETE LAST | NATIONALITY | START NUMBER | SNOWSHOE | T1 | SKATE | T2 | SKI | POSITION | TOTAL TIME
3593 | 13940 | [NAME] | Tiefengraber | AUT | 159 | 00:22:18 | 00:00:00 | [NAME] | 00:00:00 | 00:26:58 | 1 | 01:23:22
3593 | 10307 | [NAME] | De Marcellis | ITA | 158 | 00:22:38 | 00:00:00 | 00:35:40 | 00:00:00 | 00:29:28 | 2 | [NAME]
3593 | 15466 | Siegfried | Schütze | GER | 155 | 00:25:04 | 00:00:00 | 00:39:14 | 00:00:00 | 00:29:55 | 3 | 01:34:13
3593 | 21944 | Joachim | Fischer | GER | 156 | 00:28:15 | 00:00:00 | 00:46:34 | 00:00:00 | 00:34:43 | 4 | 01:49:32
3593 | 21945 | Petr | [NAME] | GER | 157 | 00:28:17 | 00:00:00 | 00:40:16 | 00:00:00 | 00:42:48 | 5 | 01:51:21
Spreadsheet: 232158d1367343093-sumif-help-clean
Sheet: Resource Allocation

 |  |  |  |  |  |  |  | Daily Rate | Allocation | Forecast | Allocation | Forecast | Allocation | Forecast | Allocation | Forecast | Allocation | Forecast | Allocation | Forecast | Allocation | Forecast | Allocation | Forecast | Allocation | Forecast | Allocation | Forecast | Allocation | Forecast | Allocation | Forecast | Allocation | Forecast | Allocation | Forecast | Allocation | Forecast | Allocation | Forecast | Allocation | Forecast | Allocation | Forecast | Allocation | Forecast | Allocation | Forecast | Allocation | Forecast | Allocation | Forecast | Allocation | Forecast | Allocation | Forecast | Allocation | Forecast | Allocation | Forecast | Allocation | Forecast | Allocation | Forecast | Allocation | Forecast | Allocation | Forecast | Allocation | Forecast | Allocation | Cost
 | Id | US | Group 1 | Stream 1 | BA | PM | Misc | 1000
Spreadsheet: 152799d1335532753-concatenate-headers-based-on-1-condition-book1
Sheet: Sheet1

Employee | Error Result Expected | Check1 | Check2 | Check3 | Check4 | Check5 | Check6 | Check7 | Check8 | Check9 | Check10 | Check11 | Check12 | Check13 | Check14
A | Check5, Check7, Check12 | Match | Match | Match | Match | Mismatch | Match | Duplicate | Match | Match | Match | Match | Error | Match | Match
B |  | Match | Match | Match | Match | Match | Match | Match | Match | Match | Match | Match | Match | Match | Match
C | Check1, Check14 | Error | Match | Match | Match | Match | Match | Match | Match | Match | Match | Match | Match | Match | Mismatch
Spreadsheet: 840500d1692784048-find-and-match-from-two-row-book13
Sheet: Sheet2

 |  |  |  | Supplier | TransType | Ref# | Expected result | Reasoning
 |  |  |  | A | BT | 123 |  | coz, for ref 123 supplier is different for trans type BT & GT
 |  |  |  | B | GT | 123 | False | coz, for ref 123 supplier is different for trans type BT & GT
 |  |  |  | A | BT | 456 | True | coz, for ref 456 supplier is same for trans type BT & GT
 |  |  |  | A | GT | 456 | True | coz, for ref 456 supplier is same for trans type BT & GT
Spreadsheet: 887790d1738117149-weeknum-and-isoweeknum-weeknum
Sheet: Sheet1 (2)

Period | Wk | 2021
1 | 1 | 2021-01-04 00:00:00
 | 2 |  |  |  |  |  |  | Date: | 2024-12-30 00:00:00
 | 3 |  |  |  |  |  |  | Wk Num:
 | 4 |  |  |  |  |  |  | Period Num:
2 | 5
 | 6
 | 7
 | 8
3 | 9
 | 10
 | 11
 | 12
4 | 13
 | 14
 | 15
 | 16
5 | 17
 | 18
 | 19
 | 20
6 | 21
 | 22
 | 23
 | 24
7 | 25
 | 26
 | 27
 | 28
8 | 29
 | 30
 | 31
 | 32
9 | 33
 | 34
 | 35
 | 36
10 | 37
 | 38
 | 39
 | 40
11 | 41
 | 42
 | 43
 | 44
12 | 45
 | 46
 | 47
 | 48
13 | 49
 | 50
 | 51
 | 52
 | 53
Spreadsheet: 800115d1665494618-what-formula-for-two-variables-that-will-change-price-example
Sheet: Sheet1

Products | Cost | Addons | Cost |  | Total
Item1 | 4.64 | 8 | 0.87
 |  | 9 | 0.87
 |  | H | 0.87
Item2 | 4.64 | 8 | 8.04
 |  | 9 | 8.2
 |  | H/1 | 8.6
 |  | h/2 | 9.34
 |  | M | 10.45
Item 3 | 5.4 | D | 3.35
Item 4 | 5.4 | 8 | 2.78
 |  | 9 | 2.92
 |  | H | 3.18
Spreadsheet: daren_farmer__6557__jan2000
Sheet: Sheet1

 |  | Current Estimate | [NAME]
2000-01-01 00:00:00 | 48.263 | 108.1728
2000-01-02 00:00:00 | 32.396 | 87.363
2000-01-03 00:00:00 | 91.509 | 164.889
2000-01-04 00:00:00 | 187.274 | 290.485
2000-01-05 00:00:00 | 140.144 | 228.6749
2000-01-06 00:00:00 | 78.3301 | 147.6049
2000-01-07 00:00:00 | 63.22 | 127.7573
2000-01-08 00:00:00 | 52.984 | 114.364
2000-01-09 00:00:00 | 53.698 | 115.3001
2000-01-10 00:00:00 | 56.5801 | 119.0799
2000-01-11 00:00:00 | 41.748 | 99.628
2000-01-12 00:00:00 | 38.82449 | 95.7933
2000-01-13 00:00:00 | 44.301 | 109.316
2000-01-14 00:00:00 | 81.555 | 132.587
2000-01-15 00:00:00 | 39.617 | 81.842
2000-01-16 00:00:00 | 36.647 | 78.249
2000-01-17 00:00:00 | 36.989 | 97.4795
2000-01-18 00:00:00 | 35.267 | 94.992
2000-01-19 00:00:00 | 38.93872 | 100.936
2000-01-20 00:00:00 | 87.00224 | 139.178
2000-01-21 00:00:00 | 90.92768 | 184.1091
2000-01-22 00:00:00 | 25.66077 | 78.442
2000-01-23 00:00:00 | 43.78451 | 107.78
2000-01-24 00:00:00 | 132.4751 | 251.37
 | Total
 | 24 Day Ave
Spreadsheet: 185277d1349618991-copy-paste-formula-formulas-every-nth-row-with-moving-references-dataabc
Sheet: Sheet3

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Spreadsheet: 4dab2303-29da-49d3-afce-fcd2c393beff
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5
Cross | Trait | [NAME] | [NAME] | F2 hybridc | Inland Annuald
BCBxCAN | Flowering time (days) | 37.67+/-0.61 (24) | 29.60+/-0.54 (25) | 34.34+/-0.45 (172) | 27.50+/-0.68 (24)
 | Stem thickness ([NAME]) | 6.79+/-0.13 (24) | 4.74+/-0.25 (25) | 3.11+/-0.22 (172) | 1.28+/-0.11 (24)
 | Internode length ([NAME]) | 31.97+/-2.24 (24) | 113.71+/-4.89 (25) | 52.72+/-2.24 (172) | 55.47+/-6.96 (24)
 | Corolla width ([NAME]) | 36.49+/-0.55 (24) | 31.20+/-0.47 (25) | 24.94+/-0.33 (172) | 18.50+/-0.46 (23)
 | Corolla tube length ([NAME]) | 26.54+/-0.29 (24) | 22.19+/-0.26 (25) | 19.86+/-0.16 (172) | 15.87+/-0.28 (23)
 | Aboveground rootse | 2.06+/-0.33 (24) | 0.04+/-0.04 (25) | 0.32+/-0.07 (170) | 0.00+/-0.00 (23)
SWBxLMC | Flowering time (days) | 37.35+/-0.87 (20) | 29.6+/-0.74 (20) | 31.49+/-0.33 (157) | 30.10+/-0.62 (20)
 | Stem thickness ([NAME]) | 5.23+/-0.15 (20) | 3.47+/-0.14 (20) | 4.25+/-0.08 (158) | 2.95+/-0.17 (20)
 | Internode length ([NAME]) | 20.59+/-1.80 (20) | 74.63+/-3.92 (20) | 47.51+/-2.31 (158) | 2.24+/-0.10 (20)
 | Corolla width ([NAME]) | [NAME] (20) | 29.16+/-0.88 (20) | 28.72+/-0.24 (158) | 22.90+/-0.59 (20)
 | Corolla tube length ([NAME]) | 24.34+/-0.39 (20) | 19.94+/-0.30 (20) | 19.68+/-0.13 (158) | 16.52+/-0.56 (20)
OPBxRGR | Flowering time (days) | 33.16+/-0.44 (19) | 27.22+/-0.43 (23) | 30.17+/-0.15 (126) | 23.47+/-0.43 (17)
 | Stem thickness ([NAME]) | 4.98+/-0.12 (19) | 3.27+/-0.10 (23) | 2.83+/-0.07 (126) | 2.59+/-0.13 (17)
 | Internode length ([NAME]) | 26.19+/-2.23 (19) | 65.14+/-2.19 (23) | 42.7+/-1.77 (126) | 53.68+/-1.71 (17)
 | Corolla width ([NAME]) | 33.12+/-0.48 (19) | 29.19+/-0.51 (23) | 24.97+/-0.32 (126) | 24.16+/-0.49 (17)
 | Corolla tube length ([NAME]) | 24.85+/-1.17 (19) | 18.75+/-0.24 (23) | 18.49+/-0.19 (126) | 16.07+/-0.26 (17)
 | Aboveground rootse | 5.37+/-0.35 (19) | 0.65+/-0.24 (23) | 0.72+/-0.13 (124) | 0.00+/-0.00 (17)
OSWxSAM | Flowering time (days) | 43.60+/-0.88 (20) | 30.00+/-0.58 (18) | 29.94+/-0.27 (157) | 26.95+/-0.56 (20)
 | Stem thickness ([NAME]) | 5.50+/-0.17 (20) | 2.96+/-0.46 (18) | 3.83+/-0.08 (157) | 1.98+/-0.07 (20)
 | Internode length ([NAME]) | 12.13+/-1.06 (20) | 25.08+/-1.16 (18) | 22.75+/-0.91 (157) | 36.54+/-2.02 (20)
 | Corolla width ([NAME]) | 31.17+/-0.97 (20) | 31.88+/-0.45 (18) | 30.64+/-0.30 (157) | 26.46+/-0.90 (20)
 | Corolla tube length ([NAME]) | 23.66+/-0.30 (20) | 21.86+/-1.34 (18) | 21.48+/-0.16 (157) | 17.48+/-0.40 (20)
aTrait mean+/-SE and sample size in parentheses for coastal parentals (BCB, SWB, OPB, OSW)
bTrait mean+/-SE and sample size in parentheses for F1 hybrids
[NAME] and sample size in parentheses for F2 hybrids
dTrait mean+/-SE and sample size in parentheses for inland parentals (CAN, LMC, RGR, SAM)
eNumber of nodes producing aboveground roots was measured only in two of the four crosses