tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 818170d1676629162-return-class-text-from-table-from-cat-and-total-lifter-class-ranking
Sheet: FP Men UN Sample

CAT | WGT |  |  | CLASS | AGE | UN |  | DIV | UNEQUIPPED MEN |  |  | TOTAL | CO-EF | POINTS | POS | GRADING | EVENT | DATE
75 | 68.6 | 68 | 0.6 | T2 | 16 | UN | M | SCO | Alasdair Padmanabhan | 415 | [NAME] |  |  |  | 40 |  | World Full Power | 2022-11-01 00:00:00 |  | Class | 52 | 56 | 60 | 67.5 | 75 | 82.5 | 90 | 100 | 110 | 125 | 145 | 146
75 | 72.2 | 72 | 0.2 | T3 | 19 | UN | M | NE | [NAME] | 497.5 | [NAME] |  |  |  | 26 |  | World Full Power | 2022-11-01 00:00:00 |  | [NAME] | 367.5 | 400 | 432.5 | 480 | 525 | 562.5 | 597.5 | 630 | 655 | 670 | 702.5 | 730
110 | 109.5 | 109 | 0.5 | OPEN | 24 | UN | M | SCO | [NAME] | 660 | [NAME] |  |  |  | 20 |  | BR Full Power | 2022-04-01 00:00:00 |  | Elite | 345 | 375 | 405 | 450 | 495 | 530 | 560 | 595 | 615 | 630 | 660 | 685
100 | 99.5 | 99 | 0.5 | JR | 21 | UN | M | EM | [NAME] | 662.5 | [NAME] |  |  |  | 12 |  | BR Full Power | 2022-04-01 00:00:00 |  | Master | 322.5 | 352.5 | 377.5 | 422.5 | 462.5 | 495 | 525 | 557.5 | 575 | 590 | 617.5 | 640
60 | 58.6 | 58 | 0.6 | M7 | 70 | UN | M | SE | [NAME] | 322.5 | [NAME] |  |  |  | 46 |  | World Full Power | 2022-11-01 00:00:00 |  | Class I | 300 | 327.5 | 352.5 | 395 | 432.5 | 462.5 | 490 | 515 | 535 | 550 | 577.5 | 597.5
110 | 101.7 | 101 | 0.7 | OPEN | 32 | UN | M |  | Brett Gillies | 620 | [NAME] |  |  |  | 25 |  | BR Full Power | 2022-04-01 00:00:00 |  | Class II | 280 | 302.5 | 327.5 | 367.5 | 400 | 430 | 455 | 480 | 495 | 510 | 535 | 557.5
82.5 | 81.5 | 81 | 0.5 | OPEN | 24 | UN | M |  | [NAME] | 645 | [NAME] |  |  |  | 5 |  | World Full Power | 2022-11-01 00:00:00 |  | Class III | 257.5 | 280 | 302.5 | 337.5 | 370 | 395 | 420 | 442.5 | 457.5 | 472.5 | 492.5 | 512.5
67.5 | 64.1 | 64 | 0.1 | OPEN | 27 | UN | M | WM | [NAME] | 547.5 | [NAME] |  |  |  | 2 |  | World Full Power | 2022-11-01 00:00:00 |  | Class IV | 235 | 255 | 275 | 310 | 337.5 | 362.5 | 385 | 405 | 417.5 | 432.5 | 452.5 | 470
110 | 107.8 | 107 | 0.8 | OPEN | 27 | UN | M |  | [NAME] | 657.5 | [NAME] |  |  |  | 19 |  | BR Full Power | 2022-04-01 00:00:00
Spreadsheet: 781380d1653297156-budget-calendar-ef1579_calendar
Sheet: Calendar

 | Sunday | Monday | Tuesday | Wednesday | Thursday | Friday | Saturday
1 |  |  |  |  |  |  |  |  | Month | 1
2 |  |  |  |  |  |  |  |  | Year | 2022
3
4
5
6
7
8
9
10
11
12
1
2
3
4
5
6
7
8
9
10
11
12
1
2
3
4
5
6
7
8
9
10
11
12
1
2
3
4
5
6
7
8
9
10
11
12
1
2
3
4
5
6
7
8
9
10
11
12
1
2
3
4
5
6
7
8
9
10
11
12
Spreadsheet: 150148d1334312167-copying-data-to-another-worksheet-database
Sheet: Instructor Database

FIRST NAME | INITIAL | LAST NAME | DEPARTMENT | DATE
Another Last | A | Sample | Sales | 2012-04-13 00:00:00
Last | A | Sample | Sales | 2012-04-13 00:00:00
Fourth | A | Sample | Management | 2012-04-13 00:00:00
Third | A | Sample | Public Affairs | 2012-04-13 00:00:00
Second | A | Sample | Accounting | 2012-04-13 00:00:00
First | A | Sample | Sales | 2012-04-13 00:00:00
Spreadsheet: 87217d1287065126-using-conditional-format-to-autoshade-a-calendar-based-on-a-series-or-date-ranges-dummy
Sheet: Jan CALENDAR 

2010-01-01 00:00:00
FLEET DATA |  |  | Input |  | Weekend |  | Hol |  | Spare |  | Pub. Hol |  | No Logs |  | Missing Mls |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0 | 0 | 0 | 0
Vehicle | Main | Vehicle | 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 | Fri | Sat | Sun
FLEET | DRIVER | REG | 2010-01-01 00:00:00 | 2010-01-02 00:00:00 | 2010-01-03 00:00:00 | 2010-01-04 00:00:00 | 2010-01-05 00:00:00 | 2010-01-06 00:00:00 | 2010-01-07 00:00:00 | 2010-01-08 00:00:00 | 2010-01-09 00:00:00 | 2010-01-10 00:00:00 | 2010-01-11 00:00:00 | 2010-01-12 00:00:00 | 2010-01-13 00:00:00 | 2010-01-14 00:00:00 | 2010-01-15 00:00:00 | 2010-01-16 00:00:00 | 2010-01-17 00:00:00 | 2010-01-18 00:00:00 | 2010-01-19 00:00:00 | 2010-01-20 00:00:00 | 2010-01-21 00:00:00 | 2010-01-22 00:00:00 | 2010-01-23 00:00:00 | 2010-01-24 00:00:00 | 2010-01-25 00:00:00 | 2010-01-26 00:00:00 | 2010-01-27 00:00:00 | 2010-01-28 00:00:00 | 2010-01-29 00:00:00 | 2010-01-30 00:00:00 | 2010-01-31 00:00:00
GROUP 1
A001 | Mr A | [NAME] | 5 | 5 | 0 | 2 | 2 | 2 | 2 | 2 | 2 | 0 | 0 | 4 | 4 | 4 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0
A002 | Mr B | [NAME] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
B001 | Mr C | [NAME] | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 0 | 0 | 3 | 3 | 0 | 1 | 0 | 0
B002 | Mr D | [NAME] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
B003 | Mr E | [NAME] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
B004 | Mr F | [NAME] | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1
B005 | Mr G | [NAME] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
A003 | etc | [NAME] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
B006 | etc | [NAME] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
C001 | etc | [NAME] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
GROUP 2
Spreadsheet: 774546d1648541137-how-to-filter-a-cell-dependant-on-3-other-cells-drawercostingn
Sheet: CSS Quote

Qty | Brand | Model | Type | Depth | [NAME] | Height | KG | $ [NAME] | Price
 | Blum | Antaro | [NAME] | 500 | 600 | M | 30
 | Blum | Antaro | [NAME] | 400 | 500 | M | 30
 | Blum | Antaro | [NAME] | 350 | 700 | M | 30
Spreadsheet: 141142d1329128913-problem-counting-text-in-excel-example
Sheet: Sheet1

[NAME] | Yes
[NAME] | Yes
[NAME] | Yes
[NAME] | No
Sue | Yes
[NAME] | Yes
Adam | Yes
[NAME] | Yes
[NAME] | Yes
[NAME] | Yes
[NAME] | Yes
Sue | Yes
[NAME] | Yes
Adam | Yes
[NAME] | No
[NAME] | No
[NAME] | Yes
[NAME] | Yes
[NAME] | Yes
Sue | No
[NAME] | Yes
[NAME] | Yes
[NAME] | Yes
[NAME] | Yes
[NAME] | Yes
[NAME] | No
[NAME] | Yes
Adam | Yes
Adam | Yes
Spreadsheet: 38352d1236504382-advanced-data-filter-data-filter
Sheet: Sheet1

Range of entries |  |  |  | Solution should be (without any headers)
a | b | c
4 | 65 | 1 |  | 4
1 | 3 | 6 |  | 1
4 | 80 | 9 |  | 8
8 | 17 | 6 |  | 9
8 | 84 | 5 |  | 10
9 | 11 | 7 |  | 7
10 | 95 | 5 |  | 6
8 | 77 | 0 |  | 65
9 | 100 | 4 |  | 3
8 | 32 | 9 |  | 80
7 | 38 | 6 |  | 17
8 | 52 | 7 |  | 84
7 | 57 | 0 |  | 11
6 | 54 | 9 |  | 95
6 | 49 | 4 |  | 77
 |  |  |  | 100
 |  |  |  | 32
 |  |  |  | 38
 |  |  |  | 52
 |  |  |  | 57
 |  |  |  | 54
 |  |  |  | 49
 |  |  |  | 5
 |  |  |  | 0 | Don't need zeros, but OK if it displays
Spreadsheet: 675140d1588173851-group-data-by-values-groupdatabyvalue
Sheet: Feuil1

 | I would like to group data if they have the same value but write it if the value is different
 | Example 1 |  |  |  |  | Example 2
 | W1 | [NAME] | W3 | W4 |  | W1 | [NAME] | W3 | W4 | W5 | W6
 | 1 day, 11:00:00 | 1 day, 11:00:00 | 1 day, 11:00:00 | 1 day, 11:00:00 |  | 1 day, 11:00:00 | 1 day, 11:00:00 | 1 day, 11:00:00 | 1 day, 11:00:00 | 1 day, 6:00:00 | 1 day, 11:00:00
 | Result |  |  |  |  | Result
 | Final result: |  |  |  |  | Final result:
 | W1-W4 35:00 |  |  |  |  | W1-W4 35:00 W5 30:00 W6 35:00
Spreadsheet: 789628d1659253763-dynamic-cumulative-sums-revisited-grouped-calculations-dynamic-cumulative-sumif-gk
Sheet: Sheet2

Thing | Data | Dynamic cumulative SUMIF??? | [NAME] SUMIF?
A | 3 |  | 3
B | 12 | 12 | 12
B | 5 | 17 | 17
B | 3 | 20 | 20
A | 3 | 6 | 3
A | 1 | 7 | 4
B | 4 | 24 | 4
B | 4 | 28 | 8
C | 8 | 8 | 8
C | 3 | 11 | 11
C | 7 | 18 | 18
D | 1 | 1 | 1
B | 2 | 30 | 2
A | 11 | 18 | 11
Spreadsheet: 753840d1635782697-if-all-values-in-array-meet-the-criteria-than-output-something-answers-
Sheet: Ratings

Company Name | Country | Operating permits | EMS | RSL | Air emissions | Waste | Effluent | H&S | Rating
Leather [NAME] | Mexico | 91 | 89 | 88 | 90 | 86 | 95 | 100
Leatherocity | Argentina | 55 | 95 | 67 | 74 | 51 | 84 | 72
Leather [NAME] | USA | 99 | 79 | 84 | 86 | 91 | 80 | 78
Leather Chard | USA | 68 | 66 | 87 | 91 | 75 | 81 | 88
Leather [NAME] | China | 55 | 25 | 61 | 35 | 45 | 77 | 34
Leather Symbol | China | 68 | 59 | 81 | 75 | 69 | 74 | 83
Leather Majestic | China | 67 | 88 | 81 | 75 | 74 | 69 | 91
Leather Tenor | Dom Rep | 26 | 34 | 85 | 74 | 61 | 63 | 97
Leatheronus | Thailand | 99 | 86 | 97 | 88 | 99 | 89 | 93
Leather [NAME] | Dom Rep | 78 | 87 | 97 | 89 | 82 | 83 | 88
Leather Rover | USA | 58 | 75 | 65 | 59 | 56 | 87 | 94
Spreadsheet: 1e6cce0b-2348-4966-bb3f-8a6a81c01091
Sheet: Banded rows

 | Widgets |  |  | Whatnots |  |  | Whoseits
Account # | Actuals | Budget | [NAME] | Actuals | Budget | [NAME] | Actuals | Budget | [NAME]
VF-56 | 828923 | 525102 |  | 553082 | 440237 |  | 389859 | 373537
NA-16 | 17911 | 263640 |  | 796045 | 475995 |  | 764213 | 67530
YI-31 | 45016 | 129498 |  | 578806 | 680391 |  | 551418 | 141283
CF-33 | 437361 | 84668 |  | 178970 | 490475 |  | 183076 | 473213
AT-38 | 619932 | 704848 |  | 893278 | 821136 |  | 504880 | 138708
IR-59 | 262543 | 616172 |  | 203017 | 531739 |  | 699009 | 161153
SP-95 | 506004 | 118953 |  | 855252 | 358632 |  | 365882 | 606000
GT-96 | 317381 | 336700 |  | 626232 | 797406 |  | 770559 | 789980
AQ-18 | 417676 | 549676 |  | 104696 | 803328 |  | 642605 | 153226
[NAME] | 478518 | 427397 |  | 385078 | 154539 |  | 743726 | 602881
[NAME] | 402440 | 450463 |  | 299815 | 366979 |  | 468461 | 172335
DF-84 | 511325 | 149980 |  | 486677 | 702406 |  | 602059 | 703775
MM-33 | 287030 | 772719 |  | 31254 | 827509 |  | 882879 | 70813
VZ-105 | 449917 | 444492 |  | 609250 | 303316 |  | 667870 | 394949
YS-39 | 459117 | 668364 |  | 133932 | 504651 |  | 58487 | 656804
TO-55 | 722245 | 850786 |  | 554527 | 21385 |  | 505097 | 350394
WF-69 | 266636 | 178433 |  | 537783 | 38483 |  | 57354 | 863778
VA-41 | 270480 | 794357 |  | 837665 | 808048 |  | 748117 | 563125
OL-94 | 464252 | 205673 |  | 366163 | 186063 |  | 890613 | 16835
TL-14 | 477958 | 461381 |  | 240605 | 474793 |  | 815550 | 249015
XZ-75 | 784017 | 666658 |  | 653507 | 794167 |  | 591929 | 298557
BC-92 | 327856 | 412337 |  | 437507 | 26499 |  | 295408 | 512575
Spreadsheet: 108152d1305224171-if-formula-help-auto-populate-a-bonus-based-on-return-on-sales-model-bonus-structure2
Sheet: Bonus '10 Q3 Metrics  (2)

Salaried Manager Bonus Structure
 | [NAME] | ROS $ | ROS %
Period 1 | 100000 | 5000 | 0.05
Period 2 | 100000 | 10000 | 0.1
Period 3 | 100000 | 9000 | 0.09
Total | 300000 | 24000 | 0.08
 |  | RM | GM
Avg. Weekly Guest Count Growth (Target -55)
Guest Count Growth |  | 0 | 0
Performance Earnings Growth
Performance Earning Growth |  | 0 | 0
Performance Earnings ROS%
0-5% | 15000 | 52.49999999999999 | 112.5
5.01-12% | 9000 | 135 | 427.5
12.01-100% | 0 | 0 | 0
 | 24000
Simply Great Incentive
Steritech Score of 92% or better | Yes
Secret Shopper Score 100% | Yes
TUAU Top Box - 65% or better | Yes
Food Quality Score of 80% of Better | Yes
Overall Cleanliness Score of 90% of better | Yes
Speed of Service Score of 70% or Better | Yes
If 1=150, 2=300, 3=455, 4=605, 5=760, 6=915 | 6 | 380 | 915
Gross Total |  | 567.5 | 1455
Less Tax | 0.3726 | 211.4505 | 542.1329999999999
Net Total |  | 356.0495 | 912.8670000000001
Spreadsheet: 5b73fa1a-6600-464f-a1fa-97b0c7a2e808
Sheet: Sheet1

Holders of U.S. Municipal Securities | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6
$ Billions
 | Individuals* | Mutual Funds1 | Banking Institutions2 | Insurance Companies3 | Other4 | Total
1996 | 492.9585 | 416.921 | 107.156 | 188.737 | 55.8585 | 1261.631
1997 | 497.6405 | 446.158 | 111.983 | 208.276 | 54.4725 | 1318.53
1998 | 498.391 | 496.408 | 120.49 | 226.453 | 60.986 | 1402.728
1999 | 526.936 | 520.619 | 125.711 | 219.065 | 64.758 | 1457.089
2000 | 531.5475 | 540.341 | 128.585 | 203.229 | 77.0105 | 1480.713
2001 | 587.91 | 597.144 | 144.005 | 192.527 | 81.812 | 1603.398
2002 | 671.464 | 648.631 | 148.495 | 202.88 | 91.351 | 1762.821
2003 | 687.2365 | 687.776 | 164.174 | 250.284 | 110.9055 | 1900.376
2004* | 1522.872 | 705.276 | 180.142 | 297.871 | 115.021 | 2821.182
2005 | 1600.678 | 749.592 | 209.522 | 345.661 | 113.805 | 3019.258
2006 | 1635.728 | 825.24 | 242.271 | 371.796 | 114.257 | 3189.292
2007 | 1673.645 | 960.053 | 254.106 | 412.679 | 124.295 | 3424.778
2008 | 1720.92 | 979.025 | 263.157 | 428.993 | 125.061 | 3517.156
2009 | 1828.052 | 1005.908 | 263.231 | 442.516 | 132.762 | 3672.469
2010 | 1871.799 | 1001.398 | 297.157 | 460.718 | 141.07 | 3772.142
2011 | 1808.305 | 989.641 | 334.8 | 452.769 | 133.85 | 3719.365
2012 | 1665.787 | 1062.059 | 398.49 | 459.589 | 128.508 | 3714.433
2013 | 1626.269 | 1017.756 | 445.626 | 466.998 | 114.576 | 3671.225
2013
Q1 | 1676.076 | 1058.32 | 415.258 | 461.837 | 117.122 | 3728.612999999999
Q2 | 1669.98 | 1049.247 | 419.139 | 463.933 | 118.787 | 3721.086
Q3 | 1644.9 | 1022.043 | 433.574 | 465.297 | 119.935 | 3685.749
Q4 | 1626.269 | 1017.756 | 445.626 | 466.998 | 114.576 | 3671.225
2014
Q1 | 1603.6573 | 1014.218 | 454.3218 | 467.788 | 120.806 | 3660.7911
Q2
Q3
Q4
1 Includes mutual funds, money market funds, close-end funds and exchange traded funds.
2 Includes U.S. chartered depository institutions, foreign banking offices in the U.S., banks in U.S. affiliated areas, credit unions, and broker dealers.
3 Includes property-casualty and life insurance companies.
4 Includes nonfinancial corporate business, nonfinancial noncorporate business, state and
local governments and retirement funds, government-sponsored enterprises and foreign holders.
* Household holdings is revised up by about $840 billion, on average, from 2004 forward.
Sources: Federal Reserve System
Spreadsheet: 153109d1335775810-returning-a-price-based-on-data-moulding-stocklist
Sheet: I 1-6 

Rack one |  | I | Rack Two |  | I | Rack Three |  | I | Rack Four |  | I | Rack five |  | I | Rack six |  | I
Code | Amount |  | Code | Amount |  | Code | Amount |  | Code | Amount |  | Code | Amount |  | Code | Amount
224206000 | 79ft |  | SG47 | 7.50 Ft |  | SG51 | 8ft |  | Pol4018 | 15ft |  | 3329-grn | 40 Ft |  | 3329 bk | 80 Ft
W43274 | 10.50 Ft |  | 2099 | 10 Ft |  | SG52 | 20ft |  | MO9036 | 17ft |  | 1460-red | 6ft |  | 304921500 | 105.50 Ft
W43275 | 32 Ft |  | 2098 | 28ft |  | SG53 | 14ft |  | [NAME] | 13ft |  | 721-red | 5ft |  | 12731047 | 10ft
SG45 | 40ft |  | SG48 | 16ft |  | sg54 | 18ft |  | 3420gry | 8ft |  | A116 | 4.5ft | 2.64 | M0004 | 4.5ft
W43291 | 10ft |  | SG49 | 16ft |  | W41120 | 34ft |  | [NAME] | 10ft |  | Pol4546 | 4 Ft |  | 427625600 | 27.50 Ft
SG46 | 13ft |  | SG50 | 10ft |  | 916606 | 50ft |  | Arq white bullnose | 6ft |  | SG300 | 18ft |  | SG36 | 29ft
415305 | 18 Ft |  | 35439430 | 12ft |  | 336124 | 18ft |  |  |  |  | 2281grn | 17.50 Ft |  | 304921460 | 81 Ft
435305 | 18.50 Ft |  | 3/4 black hog | 14ft | 13.39 | 2025-327 | 8.5 |  | SG303 | 18 Ft |  | pol4544 | 10 Ft |  | 306921740 | 63ft
 |  |  | SG301 | 19ft |  | 50220 | 54 Ft |  | B1469 | 0 Ft |  | C2384 | 14ft |  | 427310000 | 55ft
 |  |  |  |  |  |  |  |  |  |  |  | A117 | 12ft | 13.01 | 427639200 | 8ft
 |  |  | 2281wht | 9ft |  |  |  |  | PolSG | 20 Ft |  | C2083 | 17ft | 17.34 | 1460-blu | 7 Ft
 |  |  | 622.06 | 8ft |  |  |  |  | 411000137 | 17 Ft |  | B1468 | 9ft | 2.38 | Xtra red gl | 6ft
 |  |  | 129-grn | 30ft |  |  |  |  | [NAME] | 10 Ft |  | B1472 | 8 Ft | 8.16 | C2132 | 6 Ft | 4.56
 |  |  | 721-blu | 8 Ft |  |  |  |  |  |  |  | 312741460 | 40ft |  | B1465 | 6 Ft | 6.53
 |  |  |  |  |  |  |  |  | 407000127 | 9 Ft |  | 430550000 | 50 Ft
 |  |  |  |  |  |  |  |  | B1461 | 12 Ft | 2.38 | A119 | 7ft | 5.28
 |  |  |  |  |  |  |  |  | B1454 | 27 Ft | 29.38 | 2283 blu | 6 Ft
 |  |  |  |  |  |  |  |  | 690701430 | 18 Ft |  | SG304 | 12ft
 |  |  |  |  |  |  |  |  |  |  |  | MO3101 | 42 Ft
 |  |  |  |  |  |  |  |  |  |  |  | B1463 | 28 Ft | 26.11
 |  |  |  |  |  |  |  |  |  |  |  | 213204000 | 9 Ft
Spreadsheet: e736d4c1-593a-4e57-9712-59d01585a6f3
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: Construction Spending
 |  | Total Construction: U.S. Total
 |  | Not Seasonally Adjusted Total Construction [Millions of Dollars]
 |  | Period: 2002 to 2012
 |  | Data Extracted on: November 28, 2014 (9:39 am)
Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec
2002 | 59516 | 58588 | 63782 | 69504 | 73384 | 77182 | 78863 | 79460 | 76542 | 75710 | 71362 | 63984
2003 | 59877 | 58526 | 64506 | 69638 | 74473 | 80377 | 82971 | 85191 | 83841 | 83133 | 77915 | 71050
2004 | 64934 | 64138 | 73238 | 78354 | 83736 | 89932 | 93614 | 96164 | 92538 | 90582 | 86394 | 77733
2005 | 71474 | 72048 | 81345 | 85485 | 92959 | 99632 | 103158 | 106706 | 103269 | 102339 | 97549 | 88172
2006 | 81058 | 81478 | 92855 | 95324 | 102495 | 107607 | 108423 | 110434 | 104191 | 101582 | 95339 | 86436
2007 | 79406 | 79177 | 88905 | 93375 | 100534 | 105399 | 107090 | 110430 | 105150 | 103847 | 94822 | 84218
2008 | 77365 | 77253 | 82815 | 87791 | 92843 | 96411 | 98563 | 99877 | 96858 | 95722 | 86176 | 76763
2009 | 67127 | 66490 | 71770 | 75355 | 76971 | 81573 | 83528 | 84510 | 81344 | 80071 | 72013 | 64178
2010 | 55674 | 54112 | 60363 | 66575 | 69059 | 74200 | 73233 | 75977 | 74892 | 73607 | 68100 | 60246
2011 | 51012 | 50590 | 56572 | 61475 | 65827 | 72850 | 72112 | 77106 | 75388 | 74246 | 68845 | 62319
2012 | 56578 | 56761 | 61772 | 67234 | 73571 | 79262 | 78457 | 82183 | 80890 | 82353 | 74754 | 67431
Spreadsheet: 78285d1278670300-reverse-calculation-for-profit-calculator-copy
Sheet: Amazon

Camera & Photo, Consumer Electronics 8% |  |  |  |  |  |  |  |  | Beauty, Health & Personal Care, Home & Garden, Kitchen, Office Products,  Sports & Outdoors, Toys & Games, Baby Products 15% |  |  |  |  |  |  |  |  | Media Video Games DVD Books Music 15% + $1.35 |  |  |  |  |  |  |  |  | Wireless Antennas & Boosters 12%
Price | Ship | SKU | Cost | Ship | Fee | Profit I want | Profit |  | Price | Ship | SKU | Cost | Ship | Fee | Profit I want | Profit |  | Price | Ship | SKU | Cost | Ship | Fee | Profit I want | Profit |  | Price | Ship | SKU | Cost | Ship | Fee | Profit I want | Profit
139 | 5.99 | 37384 | 120 | 9 |  | 3 |  |  | 399.99 | 5.99 | 36343 | 319.99 | 7.95 |  | 4 |  |  | 144 | 5.99 | MISSTHINK | 117 | 6 |  | 2 |  |  | 100 | 4.99 |  | 50 | 8 |  | 5
Spreadsheet: eric_saibi__9980__112001R
Sheet: Ravenswood 01

Owner Name |  | Keyspan Ravenswood Inc.
Station Name |  | Ravenswood Power Station
Unit Name |  | Ravenswood 01
NERC Region |  | NPCC
State |  | NY
Fuel Type |  | Coal
Capacity |  | 400 MW
Start Date |  | 2001-10-05 00:00:00
End Date |  | 11/19/1/01
Prv. Start Date |  | 2001-10-05 00:00:00
Prv. End Date |  | 2002-01-04 00:00:00
Comments |  | Boiler/Major O/H
SIC |  | 4931
Plant ID |  | 1516826
Unit ID |  | 1004328
Outage ID |  | 18595
Spreadsheet: 43d1fa80-0957-45f9-aaaa-7e5dd3374641
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
LAA | Test | LAA | Lactate, Plasma | Lactate, P | Photometric, Lactate Oxidase/Peroxidase (VITROS Dry Slide) | Gray-Top Tube (Potassium Oxalate/Sodium Fluoride): GryPOSF |  |  | 0.5 | mL | Collection Container/Tube: Grey top (potassium oxalate/sodium fluoride) Submission Container/Tube: Plastic vial [NAME]: 0.5 mL Collection Instructions:  1. Collection must be at least 1 mL in a 2-mL draw tube or at least 2 mL in a 4-mL draw tube. 2. Spin down and separate plasma from cells. Additional Information: Patient's age and sex is required. | 0.2 mL | Hemolysis	NA Thawing	Warm OK; Cold OK Lipemia	NA Icterus	NA Other	NA | < or =2 years: 0.6-3.2 mmol/L >2 years: 0.6-2.3 mmol/L | Monday through Sunday; Continuously | Same day/1 day | 2 days | 1 | 83605 |  |  |  |  | Rochester
LAA | [NAME] | NAFL-KOX | [NAME] |  |  |  | Frozen | 30 days
LAA | Result | LAA | Lactate, P | Lactate, P | Numeric |  |  |  |  | mmol/L |  |  |  |  |  |  |  |  |  | 2524-7
Spreadsheet: 768526d1645012614-running-values-based-on-criteria-errors-in-a-table-learnexcel22
Sheet: DashBoard

 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Master
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | BankTransfer
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Beverages
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | [NAME]
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Deposit
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Etisalat
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Fees Bank
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Food
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Guest
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | HouseHold
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | India
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | iNternal Transfers
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Laundry
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | LoanReturn
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | MessiN
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | [NAME]
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Missing
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | OfficeRent
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Opening
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Others
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | OutLoan
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Remittance
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Room
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Salary
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Snacks
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | TakenLoan
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Transport
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | WithDraw
Spreadsheet: 37338d1235325188-average-if-statement-based-on-matching-condition-and-date-ranges-simjambra
Sheet: Feedback Summary

Date | Course | Trainer | Dels | Cat 1 | Cat 2 | Cat 3 | Cat 4 | Cat 5 | Cat 6 | Comments | Total
2009-01-01 00:00:00 | Excel Intermediate | Test | 2 | 8 | 8 | 8 | 8 | 8 | 8 |  | 1
2009-02-01 00:00:00 | Adobe Photoshop CS3 Introduction | Test2 | 3 | 12 | 6 | 7 | 12 | 3 |  |  | 0.6666666666666666
2009-01-11 00:00:00 | Management Skills (2 days) | [NAME] | 3 | 4 | 12 | 12 | 8 | 8 | 12 | Some topics not covered | 0.7777777777777778
2009-01-21 00:00:00 | Assertiveness at Work | [NAME] | 1 | 4 | 4 | 4 | 4 | 4 | 3 |  | 0.9583333333333334