tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 3ef2c8ca-2452-4b24-8bc3-0041a7606e21
Sheet: Sheet1

2013-02-01 00:00:00 | Units are no longer allowed to bring their own firewood to camp | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | 2013-02-22 00:00:00
CHARTS ARE UPDATED DAILY. FOR UP TO THE MINUTE AVAILABILITY CALL (716) 891-4073 OR E-MAIL [EMAIL]
SCHOELLKOPF |  | SCHOELLKOPF |  | 2013 | 2013 | 2013 | 2013
 | Capacity | Code | FEE | FEB 1 - 3 | FEB 8 - 10 | FEB 15 - 17 | FEB 22 - 24
District/Council Events
**Phillip (Lower) | 8 | S,W,E | 48
**Schoellkopf (Upper) | 12 | S,W,E | 72 |  | T285 W XLD |  | T824 W
Schwartz | 14 | S,W | 70 |  | T559 W
Score | 18 | S,W,E | 108 | [NAME] | T593 W (S) | T507 W | [NAME]
**Self | 12 | S,W,E | 72 |  | T117 |  | T256 W
Sikes | 16 | S,W,E, | 96 | T451 W | T559 W | T510 W
**Toulmin | 18 | S,W,E | 108 |  | P230 W (S) | T630 W
Lean-To's
**Art Wood (Flats) | 12 | W | 48
**[NAME] (Flats) | 12 | W | 48
**[NAME] (Northwoods) | 12 | W | 48
**Seibel (Northwoods) | 12 | W | 48 |  |  | T93 W
**[NAME] (Meyer Village) | 12 | W | 48 |  |  | T628 1/4 W
**[NAME] (Meyer Village) | 12 | W | 48 |  |  | T628 1/4 W
**Faso (Meyer Village) | 12 | W | 48 | T578 W (S) | P230 (S) | T630
Troop 7 Shelter | 20 | S,W,E | 96 |  | T864/128 W | T1776 W | T4  W OC
**Szymkowiak lean-to | 12 | W, E | 72
[NAME] |  |  |  |  | BALOO 1/4W
Tenting    $2 per person per night
Tenting    $2 per person per night
Tenting    $2 per person per night
**SEASONAL [NAME] MAY BE CLOSED FOR VEHICLE TRAFFIC, PLEASE CONTACT THE RANGER AT [PHONE]
SCOUTHAVEN |  | SCOUTHAVEN |  | 2013 | 2013 | 2013 | 2013
 | Capacity | CODE | FEE | FEB 1 - 3 | FEB 8 - 10 | FEB 15 - 17 | FEB 22 - 24
District/Council Events |  |  |  |  | OKPIK
[NAME] | 20 | S,W,E | 120 | T229 | OKPIK | T735 W | P593 W
Loegler 1 | 20 | C,S,W,E | 120 | T238 W | P583 1/4W (S) | T855 W | P509 W
Loegler 2 | 20 | C,S,W,E | 120 | T152 OC W | P583 1/4W | T506 1/4W | P509 W
[NAME] | 30 | C,S,W,E | 180 | T450 W | T286 W | T431 W | P816 W
Lean-To's
#1 Eagle | 12 | W | 48 | [NAME] | OKPIK | T539 W | T184 W
#2 Whitetail | 12 | W | 48 | T643
#3 Dziedzic | 12 | W | 48 | T643 | T352 W
Moose | 10 | W | 40
Boss | 12 | W | 48 |  | P583 (S)
Lakeside, [NAME] |  |  |  |  | OKPIK
Tenting    $2 per person per night
Tenting    $2 per person per night
Day Hike  $2 per person
[NAME] |  | [NAME] |  | 2013 | 2013 | 2013 | 2013
 | Capacity | CODE | FEE | FEB 1 - 3 | FEB 8 - 10 | FEB 15 - 17 | FEB 22 - 24
District/Council Events |  |  |  |  |  | OA WINTER FELLOWSHIP
Cabin #1 | 24 | S,W,E | 144 | T509 W | T554 2W | [NAME] | [NAME]
Cabin #2 | 24 | S,W,E | 144 | T82 OC W | P248 1/4 W | OA W
Leader's Lodge | 28 | S,W,E | 168 | T509 | P248 1/4 W | T335 | T659 W
[NAME] | 30 | C,S,W,E | 180 | P5 W | T92 W | OA W | T48 OC W
Stone Lean-To | 6 | [NAME] | 24
Troop 107 Shelter | 8 | W | 30 | P5
*New  Ganosote Lean-To | 12 | W | 48 |  |  |  | T849 W
Tenting    $2 per person per night
Tenting    $2 per person per night
Day Hike  $2 per person
Code: S=Cooking Stove; W=Wood Heating Stove; E=Electricity; C=Co-Ed Ready
Firewood is $50.00 per 1/2 face cord.
Spreadsheet: 215892d1361532054-help-with-specifics-in-a-data-series-book1-49-
Sheet: Sheet1

Time | Items | Amount
2013-02-14 13:56:10 | 1 | 200
2013-02-14 13:53:48 | 1 | 150
2013-02-14 13:37:09 | 1 | 100
2013-02-14 13:32:09 | 4 | 90
2013-02-14 13:27:08 | 4 | 50
2013-02-14 13:22:08 | 3 | 300
2013-02-14 13:17:04 | 2 | 200
2013-02-14 13:11:59 | 2 | 200
2013-02-14 13:06:56 | 1 | 50
2013-02-14 13:01:53 | 5 | 600
2013-02-14 12:56:48 | 0 | 700
Spreadsheet: 706932d1606962354-index-and-match-multiple-matches-index_match_multiple_criteria
Sheet: Year_Comparisons

 | No. | Name | 2018 | 2019 | [NAME] | 2019 Target
 | 1 | Penny | 50000 |  |  | 144000
 | 2 | Ms. [NAME] | 50000 |  |  | 144000
 | 3 | Jacy | 50000 |  |  | 144000
 | 4 | [NAME] | 50000 |  |  | 144000
 | 5 | [NAME] | 50000 |  |  | 144000
 | 6 | Mr. [NAME] | 50000 |  |  | 144000
 | 7 | [NAME] | 50000 |  |  | 144000
Spreadsheet: 122768d1317139242-budget-distribution-2007-village-economy
Sheet: Village

Spring | Village Economy
Villager | Number | Type | Caste | Location | Building | Workshop | Raw Food | Lux Food | Meals | Fine Meals | Beer | Spirits | Raw Material | Lux Material | Good | Fine Good | Raw Commodity | Lux Commodity | Item | Fine Item
Accountant | 1 | Other | FreeMan | 1 | 1 | N
Blacksmith | 2 | Item | FreeMan | 1 | 1 | N
Brewer | 2 | Beer | FreeMan | 1 | 1 | N
[NAME] | 2 | Good | FreeMan | 1 | 1 | N
Farmer | 13 | Raw Food | FreeMan | 1 | 1 | N
Fishermen | 12 | Raw Food | FreeMan | 1 | 1 | N
Handyman | 4 | Lux food | FreeMan | 1 | 1 | N
[NAME] | 1 | Meals | FreeMan | 1 | 1 | N
Medic | 1 | Other | FreeMan | 1 | 1 | N
Miner | 2 | Raw Commodity | FreeMan | 0 | 0 | N
StoneMason | 2 | Item | FreeMan | 1 | 1 | N
Tanner | 1 | Good | FreeMan | 1 | 1 | N
Whore | 1 | Other | FreeMan | 2 | 2 | N
Woodsmen | 6 | Raw Material | FreeMan | 2 | 2 | N
Population |  | Production
Villager | Number | Type | Caste | Income | Expences | Tax | Raw Food | Lux Food | Meals | Fine Meals | Beer | Spirits | Raw Material | Lux Material | Good | Fine Good | Raw Commodity | Lux Commodity | Item | Fine Item
Accountant | 1 | Other | FreeMan | 1000
Blacksmith | 2 | Item | FreeMan | 500
Brewer | 2 | Beer | FreeMan | 100
[NAME] | 2 | Good | FreeMan | 100
Farmer | 13 | Raw Food | FreeMan | 100
Fishermen | 12 | Raw Food | FreeMan | 100
Handyman | 4 | Lux food | FreeMan | 100
[NAME] | 1 | Meals | FreeMan | 100
Medic | 1 | Other | FreeMan | 100
Miner | 2 | Raw Commodity | FreeMan | 100
StoneMason | 2 | Item | FreeMan | 100
Tanner | 1 | Good | FreeMan | 100
Whore | 1 | Other | FreeMan | 100
Woodsmen | 6 | Raw Material | FreeMan | 100
Population |  | Consumption
Spreadsheet: 159122d1338502573-how-to-find-cell-value-pace-time-chart
Sheet: Sheet1

00:01:11 | $ |  | 5f | 5.5f | 6f | 6.5f | 7f | 8.3f | 8.5f
 |  |  |  |  |  |  |  |  |  |  |  | 00:00.0
 |  | 1c | :22.2 | 22.45 | 22.45 | 23.02 | 23.3 | 23.54 | 25.25 |  |  |  |  | Restored
 |  |  |  |  | 0.2 | 0.6 | 0.8 | 1s | 2.8
00:01:10 |  |  |  |  | 1 | 3 | 4 | 5 | 14
 |  | 2c | 45.42 | 45.52 | 45.2 | 45.57 | 46.24 | 47.93 | 50.03
 |  |  |  | 0.2
 |  |  |  | 1
 |  |  |  |  |  |  |  | age/sex | distance | 1st | 2nd | 3rd | fin | rate
 | Ç | distance | 1st | 2nd | 3rd | fin |  | 3up m&f | 6 | 22.45 | 45.53 |  | 71.31
 |  | 4.5 | 22.32 | 45.41 | 51.34 |  |  | 3up m&f | 4.5f | 22.18290322580645 | 45.65387096774193 |  |  | 0.267096774193547
 |  | 5 | 22.07 | 45.16 | 57.76 |  |  | 3up fem | 5f | 21.93290322580645 | 45.40387096774193 |  |  | 0.517096774193547
 |  | 5.5 | 22.48 | 45.37 |  | 00:01:04 |  | 2yr | 5.5f | 22.34290322580645 | 45.61387096774193 |  |  | 0.1070967741935469
 |  | 6 | 22.58709677419355 | 45.28612903225807 |  | 00:01:10 |  | 3 m&f | 6f | 22.45 | 45.53 |  |  | 0
 |  | 6.5 | 23.12 | 45.82 | 00:01:11 | 00:01:17 |  | 3 fem | 6.5f | 22.98290322580645 | 46.06387096774193 |  |  | -0.5329032258064537
 |  | 7 | 23.12 | 45.85 | 00:01:11 | 00:01:23 |  | 3up m&f | 7f | 22.98290322580645 | 46.09387096774194 |  |  | -0.5329032258064537
 | 1Ñ m | 8.3 | 24.91 | 49.26 | 00:01:13 | 00:01:03 |  | 3up fem | 1Ñ | 24.77290322580645 | 49.50387096774193 |  |  | -2.322903225806453
 | 1ˆ m | 8.5 | 25 | 49.4 | 00:01:14 | 00:01:45 |  | 2yr | 1ˆ | 24.86290322580645 | 49.64387096774193 |  |  | -2.412903225806453
 | 1„ m | 9 | 24.88 | 49.86 | 00:01:14 | 00:01:51 |  | 3 m&f | 1„ | 24.74290322580645 | 50.10387096774193 |  |  | -2.292903225806452
 | 1[NAME] m | 10 | 24.2 | 48.4 | 00:01:13 | 00:01:39 | 00:02:05 | 3 fem | 1[NAME] | 24.06290322580645 | 48.64387096774193 |  |  | -1.612903225806452
 |  |  |  |  |  | age/sex | 3up m&f | 3up fem | 2yr | 3 m&f | 3 fem
 |  | 1mile - | 1760 yards |  |  | restriction | 1 | 2 | 3 | 4 | 5
 |  | 1mile - | 8 furlongs
 |  | 1 furlong - | 220 yards
 |  | 70 yards - | 0.31818 furlongs
Spreadsheet: 94082d1293908439-summery-on-each-change-rqed-output
Sheet: DATA

QUOTN NO | NAME | GR | ITEM | RATE | BANKER
110041348 | FORGE INFOSYS | A1 | 200 | 4521 | AMINO AMRO
110041373 | FORGE INFOSYS | A1 | 50 | 2455 | AMINO AMRO
110041337 | FORGE INFOSYS | A2 | 20 | 4521 | AMINO AMRO
110041384 | FORGE INFOSYS | A1 | 10 | 2455 | AMINO AMRO
110041345 | FRNACIS CEMENT CO | A1 | 30 | 5000 | ROYAL BANK
110041393 | FRNACIS CEMENT CO | A2 | 50 | 2155 | ROYAL BANK
110041313 | FRNACIS CEMENT CO | A1 | 50 | 3200 | ROYAL BANK
110041320 | FRNACIS CEMENT CO | A1 | 100 | 3200 | ROYAL BANK
110041331 | HIMALYA STEEL CEMENT | A1 | 100 | 3300 | USA BANK
110041332 | HIMALYA STEEL CEMENT | A1 | 200 | 3300 | USA BANK
110041333 | HIMALYA STEEL CEMENT | A3 | 300 | 4000 | USA BANK
110041335 | HIMALYA STEEL CEMENT | A1 | 200 | 3200 | USA BANK
110041336 | HIMALYA STEEL CEMENT | A1 | 100 | 3300 | USA BANK
110041341 | ICCHAMANI SUPPLIER | A3 | 100 | 3200 | ROYAL BANK
110041349 | K K INFOSYS | A1 | 100 | 3000 | ROYAL BANK
110041354 | K K INFOSYS | A1 | 200 | 3000 | ROYAL BANK
110041342 | K K INFOSYS | A2 | 300 | 4000 | ROYAL BANK
110041297 | K K INFOSYS | A2 | 100 | 4000 | ROYAL BANK
110041371 | K K INFOSYS | A2 | 200 | 4000 | ROYAL BANK
110041389 | LUKAS STEEL | A1 | 300 | 3000 | USA BANK
110041410 | LUKAS STEEL | A1 | 100 | 3000 | USA BANK
1100414101 | LUKAS STEEL | A1 | 200 | 3000 | USA BANK
Spreadsheet: 594652d1539881487-shaping-of-sales-shape-of-sales-example
Sheet: Sheet1

 |  |  |  | Week
 |  |  |  | 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 | 32 | 33 | 34 | 35 | 36 | 37 | 38 | 39 | 40 | 41 | 42 | 43 | 44 | 45 | 46 | 47 | 48 | 49 | 50 | 51 | 52
 | Sales | 5000
 | Start Date | 5 |  |  |  |  |  | 0.05 | 0.2 | 0.25 | 0.18 | 0.1 | 0.06 | 0.04 | 0.03 | 0.02 | 0.02 | 0.02 | 0.01 | 0.01 | 0.01
 | End Date | 18
 | Length of Bump
 | [NAME] | 1250
 | Peak Month | 7
 |  |  |  | Week
 |  |  |  | 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 | 32 | 33 | 34 | 35 | 36 | 37 | 38 | 39 | 40 | 41 | 42 | 43 | 44 | 45 | 46 | 47 | 48 | 49 | 50 | 51 | 52
 | Sales | 2000
 | Start Date | 8 |  |  |  |  |  |  |  |  | 0.05 | 0.6 | 0.1 | 0.05 | 0.05 | 0.03 | 0.03 | 0.03 | 0.02 | 0.02 | 0.02
 | End Date | 18
 | Length of Bump
 | [NAME] | 1200
 | Peak Month | 9
Spreadsheet: darrell_schoolcraft__7304__imball0201
Sheet: SoCal

 | 10487 |  | 56697
Day | Measured | Scheduled | Measured | Scheduled
1 | -492632 | -494656
2 | -501900 | -485325
3 | -540213 | -539549
4 | -472917 | -473220
5 | -501953 | -499242
6 | -549512 | -560014
7 | -525598 | -521371
8 | -534270 | -531085
9 | -607985 | -606773
10 | -588011 | -634161
11 | -603183 | -611815
12 | -599978 | -580516
13 | -586866 | -580516
14 | -573809 | -573034
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
2001-12-31 00:00:00 |  |  |  |  | 104420
2002-01-14 00:00:00
CBS Dollars
 |  |  | 331917
Spreadsheet: 005b6801-8580-4d96-b866-5fd00c9c0c81
Sheet: 7

 | Oct 12 | Oct 19 | Oct 26 | Nov 2 | Nov 9
Total Interest Rates* | N/A*** | N/A | N/A | N/A | N/A
Cleared** | N/A | N/A | N/A | N/A | N/A
Uncleared | N/A | N/A | N/A | N/A | N/A
Total Cross-Currency | N/A | N/A | N/A | N/A | N/A
Cleared | N/A | N/A | N/A | N/A | N/A
Uncleared | N/A | N/A | N/A | N/A | N/A
Total Credit | N/A | N/A | N/A | N/A | N/A
Cleared | N/A | N/A | N/A | N/A | N/A
Uncleared | N/A | N/A | N/A | N/A | N/A
Total Equities | N/A | N/A | N/A | N/A | N/A
Cleared | N/A | N/A | N/A | N/A | N/A
Uncleared | N/A | N/A | N/A | N/A | N/A
Total Commodities | N/A | N/A | N/A | N/A | N/A
Cleared | N/A | N/A | N/A | N/A | N/A
Uncleared | N/A | N/A | N/A | N/A | N/A
TOTAL | N/A | N/A | N/A | N/A | N/A
Weekly total, estimated swap dollar volumes by asset class and cleared status (value of all trades in millions of USD), all products, tenors, and participant types.
Estimates of weekly event volumes are derived from data published in the 2012 ISDA Operations Benchmarking Survey, which defines an "event" as a new trade, confirmable amendment, partial or full termination, increase, decrease, or novation.
*See Data Dictionary for asset class 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: john_griffith__16212__1_31_02LO
Sheet: Sheet1

 |  |  | SCS  OPTION  DATA
 | TICKER | STRIKE | STR BID | STR ASK | B VOL | A VOL | M STD/DAY | WHEN
 | CL H2 | 19.5 | 144 | 154 | 47.3 | 50.6 | 0.6 | 2002-01-31 14:40:00
 | CL J2 | 20 | 250 | 260 | 45.9 | 47.7 | 0.59 | 2002-01-31 14:40:00
 | CL K2 | 20 | 320 | 335 | 44.4 | 46.4 | 0.57 | 2002-01-31 14:40:00
 | CL M2 | 20 | 376 | 380 | 44.5 | 45 | 0.56 | 2002-01-31 14:40:00
 | CL N2 | 20 | 410 | 425 | 42.7 | 44.3 | 0.55 | 2002-01-31 14:40:00
 | CL Q2 | 20 | 440 | 455 | 41.6 | 43.1 | 0.53 | 2002-01-31 14:40:00
 | CL U2 | 20 | 455 | 475 | 39.9 | 41.7 | 0.51 | 2002-01-31 14:40:00
 | [NAME] | 20 | 475 | 490 | 38.7 | 40 | 0.49 | 2002-01-31 14:40:00
 | CL X2 | 20.5 | 480 | 495 | 36 | 37.1 | 0.47 | 2002-01-31 14:40:00
 | [NAME] | 20.5 | 485 | 500 | 34.7 | 35.8 | 0.45 | 2002-01-31 14:40:00
 | CL F3 | 20.5 | 490 | 515 | 33.4 | 35.1 | 0.44 | 2002-01-31 14:40:00
 | CL G3 | 20.5 | 495 | 520 | 32.4 | 34 | 0.43 | 2002-01-31 14:40:00
 | CL M3 | 20.5 | 535 | 555 | 30.8 | 31.9 | 0.4 | 2002-01-31 14:40:00
 | CL Z3 | 20.5 | 535 | 565 | 26.8 | 28.3 | 0.36 | 2002-01-31 14:40:00
 | CL M4 |  |  |  | 21.8 | 24.4 | 0.31 | 2002-01-04 13:39:00
 |  |  |  |  |  |  |  | ,
Spreadsheet: 743335d1628420022-list-values-based-on-other-cells-list-values
Sheet: Sheet1

1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10
30 | 1 | 49 | 7 | 38 | 26 | 1 | 36 | 39 | 28
37 | 27 | 46 | 11 | 26 | 20 | 3 | 22 | 38 | 15
18 | 18 | 26 | 5 | 10 | 10 | 13 | 23 | 13 | 38
 |  |  |  |  |  |  |  |  |  |  |  | [NAME] if a2-J2 is between 25 and 40
Spreadsheet: 467694d1466838062-calculate-daily-totals-for-ongoing-log-with-various-updates-each-day-logbook
Sheet: Sheet1

Actual log:
15 | June 18, 2016 at 12:13PM |  |  | Average:
8 | June 19, 2016 at 06:42PM
10 | June 19, 2016 at 07:12PM
17 | June 20, 2016 at 08:17AM
15 | June 20, 2016 at 08:29AM
20 | June 20, 2016 at 09:48AM
22 | June 21, 2016 at 02:16PM
Looking to do this:
15 | June 18, 2016 at 12:13PM |  | 15 | <- the first entry for a new day would have the total from column A for that day
8 | June 19, 2016 at 06:42PM |  | 18 | <- June 19 has 2 entries totalling 18
10 | June 19, 2016 at 07:12PM
17 | June 20, 2016 at 08:17AM |  | 52
15 | June 20, 2016 at 08:29AM
20 | June 20, 2016 at 09:48AM
22 | June 21, 2016 at 02:16PM |  | 22
Spreadsheet: 777076d1650123502-pull-data-from-multiple-sheets-floor-stock-sheets-template
Sheet: JT3 2003330

JT 3 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Total | Service Units
Item | Price | Tue | Wed | Thu | Fri | Sat | Sun | Mon | Tue | Wed | Thu | Fri | Sat | Sun | Mon | Tue | Wed | Thu | Fri | Sat | Sun | Mon | Tue | Wed | Thu | Fri | Sat | Sun | Mon | Tue | Wed | Thu
Lemon Lime- Soda | 0.25
Diet Lemon Lime- Soda | 0.25
Cola- Soda | 0.25
Diet Cola- Soda | 0.25
Dr. pepper | 0.56
Hydrolyte Honey Water | 0.32
Hydrolyte Honey tea | 0.37
Hydrolyte Nectar Water | 0.32
Hydrolyte Nectar Tea | 0.35
Nectar Thick Apple Juice | 0.43
Crackers, [NAME] | 0.08
[NAME] ea | 0.05
[NAME] | 0.28
[NAME] | 1.13
Pudding-Vanilla | 0.27
Diet Vanilla Pudding | 0.35
Applesauce | 0.32
Juice Orange | 0.23
Juice Cranberry | 0.23
Juice Apple | 0.23
Juice Prune | 0.66
Honey | 0.07
Jam/Jelly ea | 0.06
[NAME] | 0.02
Mayo | 0.06
Mustard | 0.02
[NAME] | 0.16
[NAME] | 0.04
Syrup | 0.3
Dressing | 0.56
Salt/Pepper | 0.02
Ice Cream-Vanilla | 0.41
Ice Cream- Diet-Vanilla | 0.43
Sherbert | 0.4
[NAME] | 0.11
[NAME] | 0.11
2% Milk | 0.25
Milk- Skim | 0.25
[NAME] | 1.47
Coffee, [NAME]. cs. | 95.11
[NAME] cs. | 37.84
Creamer, non dairy box | 0.03
Tea Bags | 0.03
[NAME] | 15
Diet Popsicles | 0.25
Popsicles | 0.2
[NAME] | 0.71
Broth, [NAME] | 0.1
Cereal-Cheerios | 0.39
Cereal-Corn Flakes | 0.39
Ensure | 0.13
Glucerna | 0.4
Jevity | 0.35
Nepro | 1.03
[NAME] | 15.6
Osmolite | 0.25
Perative | 1.39
Promote | 0.23
Pivot | 2.81
Pulmocare | 0.44
Vital | 3.04
2 Cal HN | 1.5
Juven | 2.1
[NAME] | 1.5
Water | 0.25
[NAME] | 1.75
Sugar | 0.02
Sweetner-Sweet N Low | 0.03
Sweetner-Equal | 0.03
Sweetner-Splenda | 0.03
[NAME]-pkts. | 2.4
Plastic Ware (fork,spoon knife) | 0.03
Refrigerator Thermometer (reg.)
monthly coffeee
Monthly Total
Spreadsheet: 328864d1404122312-sumifs-selecting-a-column-from-a-range-example-sheet
Sheet: Sheet 5

March 2014
Done By | Activity 1 | Activity 2 | Activity 3 | Activity 4 | Activity 6 | Activity 7 | Activity 9 | Activity 10 | Activity 11 | Activity 12 | Total
AB | 9 | 0 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0
BC | 12 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 0
CD | 1 | 0 | 9 | 0 | 0 | 0 | 0 | 0 | 2 | 0
GH | 2 | 0 | 7 | 0 | 0 | 0 | 0 | 0 | 1 | 0
HI | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0
IJ | 3 | 1 | 2 | 1 | 2 | 1 | 0 | 0 | 0 | 0
JK | 17 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0
KL | 10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
Totals for Activity
Spreadsheet: 801314d1666171385-ytd-sum-rows-formula-with-multiple-criteria-sample_excel
Sheet: Sheet1

Month | 9 |  |  | Trying to get [NAME] for Berlin YTD |  |  |  | YTD ->
 |  | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12
Type | Station | January | February | March | April | May | June | July | August | September | October | November | December
FC | Berlin | 341 | 586 | 918 | 507 | 421 | 27 | 267 | 657 | 689 | 0 | 0 | 0
[NAME] | Paris | 325 | 481 | 482 | 170 | 988 | 912 | 780 | 597 | 195 | 0 | 0 | 0
PC | Berlin | 859 | 607 | 775 | 282 | 334 | 764 | 556 | 325 | 367 | 0 | 0 | 0
[NAME] | Berlin | 133 | 881 | 865 | 303 | 931 | 282 | 174 | 7 | 942 | 0 | 0 | 0
[NAME] | Paris | 628 | 18 | 776 | 241 | 872 | 66 | 954 | 497 | 619 | 0 | 0 | 0
[NAME] | Berlin | 759 | 151 | 402 | 814 | 213 | 370 | 70 | 208 | 531 | 0 | 0 | 0
PC | Paris | 902 | 289 | 917 | 95 | 856 | 527 | 393 | 100 | 87 | 0 | 0 | 0
PC | Berlin | 724 | 614 | 615 | 819 | 187 | 819 | 185 | 421 | 118 | 0 | 0 | 0
PC | Paris | 715 | 331 | 899 | 588 | 933 | 47 | 595 | 939 | 545 | 0 | 0 | 0
FC | Paris | 711 | 21 | 273 | 788 | 539 | 754 | 433 | 953 | 172 | 0 | 0 | 0
FC | Paris | 756 | 84 | 886 | 11 | 553 | 251 | 211 | 223 | 777 | 0 | 0 | 0
[NAME] | Berlin | 74 | 248 | 362 | 531 | 704 | 410 | 784 | 605 | 690 | 0 | 0 | 0
PC | Berlin | 578 | 324 | 936 | 496 | 559 | 537 | 708 | 410 | 33 | 0 | 0 | 0
PC | Berlin | 695 | 866 | 18 | 39 | 930 | 411 | 906 | 806 | 770 | 0 | 0 | 0
[NAME] | Berlin | 70 | 980 | 281 | 978 | 162 | 856 | 571 | 426 | 207 | 0 | 0 | 0
[NAME] | Paris | 775 | 968 | 715 | 188 | 455 | 782 | 821 | 487 | 504 | 0 | 0 | 0
PC | Paris | 632 | 241 | 566 | 873 | 503 | 346 | 339 | 389 | 454 | 0 | 0 | 0
FC | Paris | 926 | 863 | 967 | 910 | 234 | 383 | 405 | 839 | 186 | 0 | 0 | 0
FC | Berlin | 750 | 961 | 718 | 598 | 224 | 750 | 459 | 917 | 543 | 0 | 0 | 0
FC | Berlin | 625 | 116 | 931 | 107 | 165 | 50 | 957 | 190 | 610 | 0 | 0 | 0
Spreadsheet: 05e88765-19d2-4a99-a16d-bdd2f74c8de1
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11 | Unnamed: 12
 |  | U.S. Census Bureau
 |  | Source: Manufactured Homes Survey
 |  | Total Homes: U.S. Total
 |  | Not Seasonally Adjusted Total Placements [Thousands of Units]
 |  | Period: 2000 to 2012
 |  | Data Extracted on: October 1, 2014 (12:38 am)
Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec
2000 | 18.5 | 23.6 | 30.4 | 25.3 | 28.7 | 27 | 23.7 | 25.9 | 22.9 | 22 | 17.3 | 15.5
2001 | 12.9 | 14.1 | 15.5 | 15 | 16.8 | 18.4 | 17.4 | 19 | 18.5 | 18.6 | 15.6 | 14.4
2002 | 11.4 | 12 | 13.2 | 14.8 | 18.9 | 16.4 | 15.5 | 16.9 | 14.6 | 15.9 | 12.6 | 12
2003 | 9.5 | 7.5 | 11.5 | 11.9 | 13 | 12.3 | 11.8 | 12.8 | 13 | 14.6 | 11.4 | 10.5
2004 | 8.2 | 7.4 | 9.8 | 11.4 | 11.6 | 12.7 | 12.2 | 10.7 | 10.7 | 10.9 | 8.8 | 9.9
2005 | 8.7 | 8 | 9.2 | 9.6 | 11.3 | 12.3 | 11.3 | 11.9 | 10.6 | 11.5 | 10 | 8.6
2006 | 8.3 | 7.6 | 9.4 | 9 | 11 | 11.8 | 9.9 | 10.5 | 9.6 | 8.8 | 8.7 | 7.8
2007 | 5.6 | 5.3 | 8.1 | 7.2 | 9.1 | 10 | 8.9 | 9 | 8.3 | 8.7 | 8.5 | 6.1
2008 | 4.8 | 5.9 | 6.7 | 7.1 | 7.9 | 7.9 | 7.6 | 7.6 | 7.2 | 7.2 | 5.4 | 5.3
2009 | 4 | 3.2 | 4.7 | 4.8 | 4.7 | 4.7 | 4.6 | 4.2 | 4.9 | 5.2 | 5.4 | 4
2010 | 2.8 | 2.8 | 4 | 5 | 5.4 | 5.9 | 4.7 | 4.8 | 3.8 | 4.4 | 3.4 | 3.6
2011 | 2.3 | 2.8 | 3.7 | 4.2 | 3.7 | 5.1 | 4 | 4.7 | 4 | 4.3 | 5.1 | 3.9
2012 | 3.1 | 3.4 | 4.5 | 4.4 | 4.9 | 4.8 | 4.2 | 5.4 | 4.5 | 4.7 | 4.9 | 4
Spreadsheet: 851885d1702011425-horizontal-oval-tank-fill-volume-formula-in-excel-book1
Sheet: Sheet1

13.92 | 6.17 | 4.42 |  | 28.3168
L | W | H | V=cft | Liters in 1Cft | Tank Capacity (Liters)
13.92 | 6.17 | 4.3 | fx=??? | 28.3168
L | W | [NAME] | V=cft | Liters in 1Cft | Tank Fill Quantity (Liters)
Note All dimension are in Feet.
Spreadsheet: 158568d1338307221-excel-2007-creating-a-pivot-table-with-multiple-data-sources-training-quarters
Sheet: Sheet5

 | Values
Row Labels | Count of Training Level | Sum of Months
FM | 52 | 154
(blank)
PGY1 | 39 | 123.5
PGY2 | 12 | 27.25
PGY3 | 1 | 3.25
SM | 24 | 76
(blank)
PGY1 | 14 | 45.5
PGY2 | 5 | 16.25
PGY3 | 4 | 11
PGY5 | 1 | 3.25
Grand Total | 76 | 230
Spreadsheet: 84477d1284535576-if-statement-inventory-data-sheet-help
Sheet: Data

Product Name | Brand | Item Number | week | Scan Code | Store | Recevied | Week 1 | Week 2 | Week 3 | Week 4 | Week 6
item 1 | Adidas | 0 | 10-33 | 10330003352 | store 1 | 6 | 30
item 1 | Adidas | 0 | 10-33 | 10330003352 | store 2 | 3 | 30
item 1 | Adidas | 0 | 10-33 | 10330003352 | store 3 | 6 | 30
item 2 | Adidas | G17202 | 10-33 | 10330001182 | store 1 | 24 | 0
item 2 | Adidas | G17202 | 10-33 | 10330001182 | store 2 | 13 | 0
item 2 | Adidas | G17202 | 10-33 | 10330001182 | store 3 | 24 | 0
item 2 | Adidas | G17202 | 10-33 | 10330001182 | store 4 | 12 | 0
Spreadsheet: 33356d1229652297-multiple-variables-effect-on-two-result-cells-stock
Sheet: Covering Costs

Comission to Sell Shares | Market Price to Cover | Basis Point Increase | % Increase | [NAME] to Cover
12.99
Covering Costs |  | After Cover Market Shares
 |  | Market Shares | Market [NAME] | Target Market Gain | Target Profit Sell Price | Total Target % Increase | Profit | Gain/Loss
% to keep Invested | Hopeful  % Gain after Cover
0.2 | 0.99
 |  |  |  |  | `
Spreadsheet: 0bf3718c-7ee0-45ee-91fc-a51da92979ac
Sheet: Sheet1

Table 4--Cottonseed:  U.S. supply and disappearance | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10
 | Supply |  |  |  |  | Disappearance
Year beginning | Beginning |  |  |  |  |  |  |  |  | Ending
August 1 | stocks | Production | Imports | Total |  | Crush | Exports | Other | Total | stocks
 | 1,000 short tons
2011/12 | 617.563 | 5370 | 71.60123601533701 | 6059.164236015337 |  | 2400 | 132.579800752266 | 3096.584435263071 | 5629.164236015337 | 430
2012/131 | 430 | 5666 | 100 | 6196 |  | 2500 | 175 | 3029 | 5704 | 492
2013/142 | 492 | 4700 | 100 | 5292 |  | 2250 | 150 | 2492 | 4892 | 400
1 Estimated.  2 Forecast.
Sources: USDA, National Agricultural Statistics Service, Crop Production and U.S. Department of Commerce,
U.S. Census Bureau, Foreign Trade Statistics.
Last update: | 2013-06-13 11:01:35.940000
Spreadsheet: dc073d98-6bdd-4898-9dd6-14b71e552ad0
Sheet: Sheet1

analytica 2012 - Aussteller Liste | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5
 | Suche über Produkt- und Dienstleistungsverzeichnis (1 Eintrag):
 | 2 Analytik 2.4 Spektroskope 2.4.22 Ionen Mobilitäts Spektrometer IMS
Nr. | Firma | Land | Ort | PLZ | Halle/Stand
1 | OPTIMARE Analytik GmbH & Co. [NAME] | Deutschland | Wilhelmshaven | 26382 | A2.443
Spreadsheet: 115243d1310859598-excel-2007-need-help-with-summing-up-the-data-in-sheet-sales-summary
Sheet: June 3

HOUSTON | 2190
SHOES | 1500
SHIRTS | 300
PANTS | 250
SOCKS | 140
DALLAS | 876
SHOES | 500
SHIRTS | 200
PANTS | 141
SOCKS | 35
AUSTIN | 1423
SHOES | 650
SHIRTS | 400
PANTS | 285
SOCKS | 88