tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 6ccda76c-fe42-41d6-bc86-e95b79061628
Sheet: NonVoterDebt

School District |  |  | District Code |  |  | * Round to Nearest Dollar *
Fund 39:  NON-VOTER APPROVED DEBT FUND
 |  |  | Prior Year Actual - Audited FY11-12 | Current Fiscal Year - Budgeted FY12-13 | Current Fiscal Year - Projected FY12-13 | Original Ensuing Fiscal Year - Budget FY13-14 | Adjustments Ensuing Fiscal Year - Budget FY13-14 | Revised Ensuing Fiscal Year - Budget FY13-14
 |  |  |  |  |  |  | Record Inceases to revenue are positive amounts and Decreases as negatives | Figures (Totals) which will appear on Budget Form to Submit to CDE
Codes: | BEGINNING FUND BALANCE |  | 0 | 0 | 0 | 0 | 0
Source |  | REVENUE AND OTHER SOURCES
1110 | 1. | Current Property Taxes | 0 | 0 | 0 | 0 | 0
1120 | 2. | Specific Ownership Taxes | 0 | 0 | 0 | 0 | 0
1130 | 3. | Sales and Use Taxes | 0 | 0 | 0 | 0 | 0
1140 | 4. | Delinquent Taxes and Penalties | 0 | 0 | 0 | 0 | 0
1190 | 5. | Other Taxes from Local Sources | 0 | 0 | 0 | 0 | 0
1500 | 6. | Earnings of Investments | 0 | 0 | 0 | 0 | 0
1900 | 7. | Other Revenue from Local Sources | 0 | 0 | 0 | 0 | 0
2000 | 8. | Revenue from Intermediate Sources | 0 | 0 | 0 | 0 | 0
5110 | 9. | Bond Principal | 0 | 0 | 0 | 0 | 0
5120 | 10. | Premium/Discount | 0 | 0 | 0 | 0 | 0
5130 | 11. | Accrued Interest | 0 | 0 | 0 | 0 | 0
52XX | 12. | Transfer From(+)/To(-)________________Fund(s) (Net to zero across all funds)* NOTE-1 | 0 | 0 | 0 | 0 | 0
 | 13. | Other Revenue | 0 | 0 | 0 | 0 | 0
 | 14. | TOTAL REVENUE (Sum of lines 1 - 13)
TOTAL REVENUE INCLUDING BEGINNING FUND BALANCE (Sum of line 14 and BFB)
NOTE-1: |  | If you treat Transfers Out as an expenditure - report such amounts here:
52XX | 12a | Transfer To________________Fund(s) (input as a positive number on this line) | 0 | 0 | 0 | 0 | 0
Object |  | EXPENDITURES AND OTHER USES
 |  | OTHER USES - DEBT SERVICE PROGRAM 5100
0830 | 15. | Interest | 0 | 0 | 0 | 0 | 0
0910 | 16. | Principal | 0 | 0 | 0 | 0 | 0
 |  | Transfers Out if reported as an expenditure - Linked from line 12a above
 | 17. | Other Expenditures | 0 | 0 | 0 | 0 | 0
 | 18. | TOTAL EXPENDITURES AND OTHER USES (Sum of lines 16 - 18)
Program |  | APPROPRIATED RESERVES
9100 | 19. | Operating Reserve | 0 | 0 | 0 | 0 | 0
9322 | 20. | Reserve for Multi-Year Obligations | 0 | 0 | 0 | 0 | 0
932X | 21. | Other Restricted Reserves | 0 | 0 | 0 | 0 | 0
9900 | 22. | Other Reserves | 0 | 0 | 0 | 0 | 0
 | 23. | TOTAL APPROPRIATED RESERVES (Sum of 19 - 22)
TOTAL BOND REDEMPTION FUND EXPENDITURES AND APPROPRIATED RESERVES (Sum of lines 18 & 24)
 |  | ---MUST EQUAL AMOUNT ON APPROPRIATION RESOLUTION PAGE---
 |  | TOTAL NET REVENUE
 |  | DIFFERENCE MUST EQUAL 0
Note:  Non-voter approved debt (Fund 39) must not be commingled with Voter approved debt (Fund 31)
Spreadsheet: 3359d249-d5dc-475b-9255-c49c2ccbba00
Sheet: Sheet1

PROG ID | ATHLETE ID | ATHLETE FIRST | ATHLETE LAST | NATIONALITY | START NUMBER | RUN | T1 | BIKE | T2 | RUN.1 | POSITION | TOTAL TIME
8527 | 63848 | [NAME] | Barroeta Vieras | VEN | 0 | 00:00:00 | 00:00:00 | 00:00:00 | 00:00:00 | 00:00:00 | 1 | 01:02:24
8527 | 63853 | [NAME] | Polo | VEN | 0 | 00:00:00 | 00:00:00 | 00:00:00 | 00:00:00 | 00:00:00 | 2 | 01:03:51
8527 | 63851 | Cristian | Guerra Flores | VEN | 0 | 00:00:00 | 00:00:00 | 00:00:00 | 00:00:00 | 00:00:00 | 3 | 01:07:52
8527 | 63852 | Manuel | Rodriguez | VEN | 0 | 00:00:00 | 00:00:00 | 00:00:00 | 00:00:00 | 00:00:00 | 4 | [NAME]
Spreadsheet: 43189d1241771898-help-to-make-moving-cell-formatting-research
Sheet: Sheet1

Projects | Resources | Jan | Feb | [NAME] | June | July | Aug
Requirement by projects |  | Jan | Feb | Mar | Apr | May | June | July
M | X | 1 | 2 | 2 |  |  | 1
A | Y |  | 1 | 3 | 1 | 1 | 4
A | Z | 1 | 2
M | X |  |  | 2 |  | 1 | 4
B | Y | 1 | 2 | 4 |  | 4
H | X | 5
B | Z |  | 3 | 3 | 3 | 1 | 1
M | y | 2
M | Z | 1 |  | 4 |  |  | 4
C | X | 1 | 1 | 1 | 1 | 1
C | Y |  | 1 | 4
D | Z |  | 4 |  |  | 2 | 2
D | X | 2 | 5 |  | 1 | 4
D | Y | 1 | 2 | 6
D | Z | 1 | 1 |  | 2
Spreadsheet: 598915d1542791319-if-and-formula-getting-value-error-book1question
Sheet: Sheet1

 |  | 540 | 0.75 | 0 | 0.75 |  | 0.16
 |  | 423 | 1 | 0 | 1 |  | 0.16
 |  | 21313 | 0.75 | 0.25 |  |  | 0.16
 |  | 213 | 1 | 0.25 |  |  | 0.16
Spreadsheet: b1dff9fc-5b6d-47d3-a231-d21a9d458ad3
Sheet: Sheet1

PROG ID | ATHLETE ID | ATHLETE FIRST | ATHLETE LAST | NATIONALITY | START NUMBER | SWIM | T1 | BIKE | T2 | RUN | POSITION | TOTAL TIME
7458 | 57738 | Toshio | Furuhata | JPN | 0 | 00:00:00 | 00:00:00 | 00:32:17 | 00:01:20 | 00:19:59 | 1 | 00:53:35
Spreadsheet: 8740c9d0-11f8-4e26-a717-89c347f7b497
Sheet: Sheet1

k | TPs | FPs | FNs | Recall | Precision
1 | 104347 | 77941 | 71563 | 0.593184014552896 | 0.5724293425787761
2 | 126146 | 104762 | 49764 | 0.71710533795691 | 0.546304155767665
3 | 133976 | 120372 | 41934 | 0.761616735830823 | 0.526742887697171
inf | 141394 | 131562 | 34516 | 0.8037860269455971 | 0.5180102287548181
Spreadsheet: 870304d1716842918-inserting-rows-and-keeping-formula-anonymised-history-group-spreadsheet
Sheet: B - I+E

MICKLEHAM & WESTHUMBLE LOCAL HISTORY GROUP
 | Statement of accounts to date
 |  | TOTAL to date
 | Item | Income | Expenditure
 |  | £ | £
 | Subscriptions
 | Donations
 | Meetings
 | Equipment
 | Supplies
 | Bank interest/charges
 | [NAME] iro 2023, 2024
 | Miscellaneous
 | Total
 | Surplus (deficit) on year to date
 | Balance at bank at | (enter date)
 | Cash in hand at | (enter date)
 |  |  | 3636.870000000001
Spreadsheet: 162655d1340026169-automatic-data-sorting-itinerary-extract
Sheet: RAW DATA

PORT | CALL TYPE | [NAME] |  | Departure
Yorkeys [NAME] | TR | 2010-03-01 00:00:00 | 08:00:00 | 2010-03-01 00:00:00 | 18:00:00
[NAME] |  | 2010-03-08 00:00:00 | 08:00:00 | 2010-03-08 00:00:00 | 18:00:00
Hong Kong | ON | 2010-03-11 00:00:00 | 08:00:00 | 2010-03-12 00:00:00 | 21:00:00
[NAME] | PT | 2010-03-14 00:00:00 | 08:00:00 | 2010-03-14 00:00:00 | 18:00:00
[NAME] | TR | 2010-03-16 00:00:00 | 06:00:00 | 2010-03-16 00:00:00 | 17:00:00
[NAME] |  | 2010-03-17 00:00:00 | 07:00:00 | 2010-03-17 00:00:00 | 19:00:00
[NAME] | TR | 2010-03-18 00:00:00 | 09:00:00 | 2010-03-18 00:00:00 | 17:00:00
Singapore |  | 2010-03-20 00:00:00 | 08:00:00 | 2010-03-20 00:00:00 | 19:00:00
Port Kelang |  | 2010-03-21 00:00:00 | 08:00:00 | 2010-03-21 00:00:00 | 19:00:00
Mumbai |  | 2010-03-26 00:00:00 | 08:00:00 | 2010-03-26 00:00:00 | 18:00:00
Muscat | PT | 2010-03-28 00:00:00 | 09:00:00 | 2010-03-28 00:00:00 | 17:00:00
Dubai |  | 2010-03-29 00:00:00 | 09:00:00 | 2010-03-29 00:00:00 | 18:00:00
Spreadsheet: 06b0d361-d4d6-4cbc-8892-c76c48b790dc
Sheet: Sheet1

Table 9--U.S. cotton textile exports, by destination | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5
 | Sept. | Oct. | Nov. |  | Nov.
Region/country | 2012 | 2012 | 2012 |  | 2011
 | 1,000 pounds 1/
North America | 130924.624 | 120071.334 | 112835.016 | 120071.334 | 125623.54
Bahamas | 76 | 98.368 | 161.439 | 98.368 | 135.4
Canada | 10131.369 | 9679.422 | 9367.475 | 9679.422 | 9230.716
Costa Rica | 401.632 | 342.498 | 367.286 | 342.498 | 228.64
Dominican Republic | 22534.153 | 20584.63 | 17776.751 | 20584.63 | 24335.106
El Salvador | 12385.544 | 10278.917 | 10480.039 | 10278.917 | 10068.071
Guatemala | 2425.878 | 2553.092 | 2136.458 | 2553.092 | 2127.018
Haiti | 918.293 | 760.656 | 613.142 | 760.656 | 418.148
Honduras | 54553.992 | 46161.496 | 44932.29 | 46161.496 | 50126.639
Jamaica | 61 | 80.226 | 128.301 | 80.226 | 225.613
Mexico | 24908.519 | 26662.816 | 24194.962 | 26662.816 | 26111.639
Nicaragua | 1878.376 | 1931.183 | 2095.935 | 1931.183 | 1930.288
Panama | 315.558 | 345.54 | 153.012 | 345.54 | 398.302
South America | 3275.917 | 3656.46 | 3206.975 | 3656.46 | 2559.182
Brazil | 380.691 | 463.066 | 425.806 | 463.066 | 539.447
Chile | 194.612 | 439.573 | 210.527 | 439.573 | 320.617
Colombia | 1952.214 | 1456.87 | 1234.797 | 1456.87 | 893.928
Peru | 167.919 | 383.755 | 498.989 | 383.755 | 101.417
Venezuela | 400.915 | 541.479 | 544.51 | 541.479 | 373.535
Europe | 2979.492 | 2855.253 | 2883.105 | 2855.253 | 3060.166
Belgium | 316.825 | 209 | 353.987 | 209 | 280.1
France | 114 | 107.226 | 96.021 | 107.226 | 87.759
Germany | 568.806 | 475.489 | 286.109 | 475.489 | 537.47
Italy | 186.704 | 168.088 | 178.84 | 168.088 | 144.153
Netherlands | 335.345 | 394.127 | 354.607 | 394.127 | 488.75
Russia | 62 | 51.147 | 52.627 | 51.147 | 110.978
Turkey | 48 | 79.297 | 83.662 | 79.297 | 48.965
United Kingdom | 878.361 | 989.202 | 1029.687 | 989.202 | 1001.382
Asia | 8784.45 | 12590.661 | 10109.917 | 12590.661 | 8622.479
Bangladesh | 3 | 7 | 30.61 | 7 | 0
China | 4666.339 | 8898.187 | 7442.319 | 8898.187 | 5315.291
Hong Kong | 489.66 | 343.725 | 439.15 | 343.725 | 442.716
India | 321.108 | 162.409 | 130.338 | 162.409 | 192.206
Israel | 186.092 | 143.091 | 79.427 | 143.091 | 101.04
Japan | 963.096 | 843.813 | 717.875 | 843.813 | 815.848
Pakistan | 17 | 61 | 5 | 61 | 91.763
Saudi Arabia | 121.303 | 140.761 | 96.528 | 140.761 | 151.413
Singapore | 151.537 | 283.04 | 158.496 | 283.04 | 246.113
South Korea | 656.502 | 426.993 | 306.026 | 426.993 | 498.29
Taiwan | 71 | 138.774 | 85.89 | 138.774 | 81.617
United Arab Emirates | 333.133 | 328.956 | 282.496 | 328.956 | 245.715
Oceania | 1020.182 | 783.027 | 729.303 | 783.027 | 838.933
Australia | 737.34 | 632.442 | 584.553 | 632.442 | 644.983
Africa | 396.356 | 375.696 | 243.207 | 375.696 | 290.413
South Africa | 90 | 59.221 | 76.859 | 59.221 | 40.677
World 2/ | 147381.019 | 140332.432 | 130007.524 | 140332.432 | 141046.938
1/ Raw-fiber equivalent.  2/ Totals may not add due to rounding.
Last update: 02/12/13.
Sources: USDA, Economic Research Service; and USDC,
U.S. Census Bureau.
Spreadsheet: 1ecc2f03-94d7-4c41-9cf7-5887cb37ea99
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
 | Time Series Workbook
 | 5368.0 International Trade in Goods and Services, Australia
 | TABLE 7. GOODS CREDITS, Trend estimates, Current prices
Related Information: | Summary Publication | Explanatory Notes | Inquiries
Data Item Description |  |  | Series Type | Series ID | Series Start | Series End | No. Obs. | Unit | Data Type | [NAME]. | Collection Month
Total goods credits ; |  |  | Trend | A2718657A | 1971-07-01 00:00:00 | 2012-01-01 00:00:00 | 487 | $ Millions | FLOW | Month | 1
General merchandise ; |  |  | Trend | A2718658C | 1971-07-01 00:00:00 | 2012-01-01 00:00:00 | 487 | $ Millions | FLOW | Month | 1
Rural goods ; |  |  | Trend | A2718660R | 1971-07-01 00:00:00 | 2012-01-01 00:00:00 | 487 | $ Millions | FLOW | Month | 1
Meat and meat preparations ; |  |  | Trend | A2718661T | 1971-07-01 00:00:00 | 2012-01-01 00:00:00 | 487 | $ Millions | FLOW | Month | 1
Cereal grains and cereal preparations ; |  |  | Trend | A2718663W | 1971-07-01 00:00:00 | 2012-01-01 00:00:00 | 487 | $ Millions | FLOW | Month | 1
Wool and sheepskins ; |  |  | Trend | A2718664X | 1971-07-01 00:00:00 | 2012-01-01 00:00:00 | 487 | $ Millions | FLOW | Month | 1
Other rural ; |  |  | Trend | A2718666C | 1971-07-01 00:00:00 | 2012-01-01 00:00:00 | 487 | $ Millions | FLOW | Month | 1
Non-rural goods ; |  |  | Trend | A2718667F | 1971-07-01 00:00:00 | 2012-01-01 00:00:00 | 487 | $ Millions | FLOW | Month | 1
Metal ores and minerals ; |  |  | Trend | A2718668J | 1971-07-01 00:00:00 | 2012-01-01 00:00:00 | 487 | $ Millions | FLOW | Month | 1
Coal, coke and briquettes ; |  |  | Trend | A2718669K | 1971-07-01 00:00:00 | 2012-01-01 00:00:00 | 487 | $ Millions | FLOW | Month | 1
Other mineral fuels ; |  |  | Trend | A2718670V | 1971-07-01 00:00:00 | 2012-01-01 00:00:00 | 487 | $ Millions | FLOW | Month | 1
Metals (excl. non-monetary gold) ; |  |  | Trend | A2718671W | 1971-07-01 00:00:00 | 2012-01-01 00:00:00 | 487 | $ Millions | FLOW | Month | 1
Machinery ; |  |  | Trend | A2718672X | 1971-07-01 00:00:00 | 2012-01-01 00:00:00 | 487 | $ Millions | FLOW | Month | 1
Transport equipment ; |  |  | Trend | A2718673A | 1971-07-01 00:00:00 | 2012-01-01 00:00:00 | 487 | $ Millions | FLOW | Month | 1
Other manufactures ; |  |  | Trend | A2718675F | 1971-07-01 00:00:00 | 2012-01-01 00:00:00 | 487 | $ Millions | FLOW | Month | 1
Other non-rural (incl. sugar and beverages) ; |  |  | Trend | A2718676J | 1971-07-01 00:00:00 | 2012-01-01 00:00:00 | 487 | $ Millions | FLOW | Month | 1
Goods procured in ports by carriers ; |  |  | Trend | A2718678L | 1971-07-01 00:00:00 | 2012-01-01 00:00:00 | 487 | $ Millions | FLOW | Month | 1
Net exports of goods under merchanting ; |  |  | Trend | A2718679R | 1971-07-01 00:00:00 | 2012-01-01 00:00:00 | 487 | $ Millions | FLOW | Month | 1
Non-monetary gold ; |  |  | Trend | A2718682C | 1971-07-01 00:00:00 | 2012-01-01 00:00:00 | 487 | $ Millions | FLOW | Month | 1
© Commonwealth of Australia  2012
Spreadsheet: 837458d1690194854-formula-help-for-currency-layouts-excel-example-4-aligw
Sheet: Sheet1

Country | Monthly Lease Cost excluding contractual maintenance (EUR) | [NAME]Contractual) | Total Monthly Lease Cost
Finland | 623.15 | 36.99 | 665.47
Finland | 626.17 | 40.02 | 671.76
Finland | 481.87 | 39.17 | 525.28
Finland | 694.78 | 38.03 | 738.92
Finland | 591.68 | 31.12 | 627.88
Italy | 1.200,27 | 94,73 | 1.295,00
Italy | 677,71 | 48,37 | 726,08
Italy | 696,02 | 69,95 | 765,97
Netherlands | € 1.189,94 | € 184,00 | € 1.373,94
Netherlands | € 715,21 | € 188,10 | € 903,31
Netherlands | € 676,94 | € 485,93 | € 1.162,87
Netherlands | € 490,47 | € 171,00 | € 661,47
Netherlands | € 890,11 | € 374,53 | € 1.264,64
Netherlands | € 909,42 | € 398,29 | € 1.307,71
Netherlands | € 1.012,31 | € 259,43 | € 1.271,74
AUSTRIA | 426.76 | 175.01 | 1077.54
AUSTRIA | 396.81 | 175.32 | 1042.98
AUSTRIA | 626.09 | 214.64 | 1047.67
AUSTRIA | 261.58 | 43.8 | 507.85
AUSTRIA | 293.48 | 39.33 | 332.81
Spreadsheet: f2cb2b9d-552e-4cac-9955-b12d378fb37d
Sheet: Sheet1

Aantal abortussen bij in Nederland wonende vrouwen naar leeftijd, 1990-2009 | 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 | Unnamed: 14 | Unnamed: 15 | Unnamed: 16 | Unnamed: 17 | Unnamed: 18 | Unnamed: 19 | Unnamed: 20
- |  |  |  |  |  |  |  |  |  | - |  |  |  |  |  |  |  |  |  | -
 | 1990 | 1991 | 1992 | 1993 | 1994 | 1995 | 1996 | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009
- |  |  |  |  |  |  |  |  |  | - |  |  |  |  |  |  |  |  |  | -
≤ 14 | 36.768 | 39.136 | 58.26599999999999 | 39.608 | 62.433 | 41.864 | 44.882 | 44.826 | 48.282 | 75.954 | 108.82 | 85.311 | 117.8 | 86.436 | 87.28199999999998 | 86.214 | 56.94200000000001 | 56.66 | 56.94 | 56.63800000000001
15-19 | 2114.16 | 2172.048 | 2058.732 | 2020.008 | 2081.1 | 2218.792 | 2356.305 | 2330.952 | 2631.369 | 3038.16 | 3754.29 | 4094.928 | 4299.7 | 4033.68 | 3782.22 | 3620.988 | 3530.404 | 3569.58 | 3444.87 | 3511.556
20-24 | 4375.392 | 4774.592 | 4583.592000000001 | 4614.332 | 4744.907999999999 | 4877.156 | 4824.815 | 4796.382 | 5045.469 | 5392.734 | 6229.945 | 6455.199000000001 | 6861.85 | 6828.444 | 7069.842000000001 | 6954.596 | 7117.75 | 7280.81 | 7259.85 | 7193.026
25-29 | 4522.464 | 4618.048000000001 | 4564.17 | 4871.784000000001 | 5265.183000000001 | 4981.816000000001 | 5632.691 | 5625.663 | 5745.558000000001 | 5975.048000000001 | 6121.125 | 5943.333 | 6037.25 | 5877.647999999999 | 5818.8 | 5977.504 | 5808.083999999999 | 5864.31 | 6007.17 | 6060.266
30-34 | 3695.184 | 4070.144 | 4078.62 | 4337.076 | 4578.42 | 4688.768 | 4914.579 | 4818.795 | 5214.456 | 5418.052 | 5359.385 | 5687.4 | 5831.1 | 5647.152000000001 | 5527.86 | 5287.791999999999 | 5096.308999999999 | 4901.09 | 4982.25 | 4814.23
35-39 | 2518.608 | 2700.384 | 2874.456 | 2831.972 | 2913.54 | 3014.208 | 3321.268 | 3406.776 | 3862.56 | 3873.654 | 3944.725 | 4237.113 | 4388.05 | 4321.8 | 4596.852 | 4569.342000000001 | 4583.831 | 4504.47 | 4441.32 | 4332.807
40-44 | 1029.504 | 1076.24 | 1107.054 | 990.2 | 1061.361 | 1004.736 | 1211.814 | 1277.541 | 1472.601 | 1417.808 | 1577.89 | 1763.094 | 1737.55 | 1843.968 | 2007.486 | 2011.66 | 2021.441 | 1926.44 | 2021.37 | 2123.925
≥45 | 73.536 | 117.408 | 97.11 | 99.02 | 104.055 | 104.66 | 134.646 | 112.065 | 120.705 | 126.59 | 108.82 | 170.622 | 176.7 | 201.684 | 203.658 | 229.904 | 256.239 | 226.64 | 227.76 | 226.552
- |  |  |  |  |  |  |  |  |  | - |  |  |  |  |  |  |  |  |  | -
Bron: Rutgers WPF
Spreadsheet: 749081d1632494643-sort-by-column-in-one-sheet-and-maintain-row-formula-references-in-another-sheet-test-metrics-tms
Sheet: YTD

ISP | Hours Worked | Avg. ACD Talk Time | Auto-In Calls | Top Line Calls | Outbound Calls | Total Calls | Avg. Calls/Hour | ISP Emails | Clearslide Email Campaigns | Avg. Emails/Hour | Webinars Conducted | SF Leads Created | Avg. Work Volume/Hour | SF Tasks w/out Clearslide | SF Opp. | Total SF | Avg. SF/Hour | Clearslide Emails Sent | Total Contacts | Avg. Contacts/Hour
a
b
c
 |  | *if all months are sorted alphabetically by ISP name (column A), ISP "a" Avg. Calls/Hour = 5.02 (column H) which is correct
 |  | *If you sort by Total calls in Jan sheet, descending order - changed [NAME]. Calls/Hour (column H) value for ISP "a" to 5.7 which isn't correct
Spreadsheet: 266469d1379620825-use-selections-from-two-data-validation-lists-to-lookup-and-return-a-combined-result-state-county-fips-codes
Sheet: MINNESOTA-22

 | COUNTY | CODE
 | Aitkin | 1
 | Anoka
 | Becker
 | Beltrami
 | [NAME]
 | Big Stone
 | Blue Earth
 | [NAME]
 | Carlton
 | Carver
 | [NAME]
 | [NAME]
 | Chisago
 | Clay
 | Clearwater
 | [NAME]
 | Cottonwood
 | [NAME]
 | Dakota
 | Dodge
 | [NAME]
 | Faribault
 | Fillmore
 | Freeborn
 | Goodhue
 | Grant
 | Hennepin
 | Houston
 | Hubbard
 | Isanti
 | Itasca
 | [NAME]
 | Kanabec
 | [NAME]
 | Kittson
 | Koochiching
 | [NAME]
 | Lake
 | Lake of the Woods
 | Le Sueur
 | Lincoln
 | Lyon
 | McLeod
 | Mahnomen
 | [NAME]
 | Martin
 | Meeker
 | [NAME]
 | Morrison
 | Mower
 | [NAME]
 | Nicollet
 | Nobles
 | [NAME]
 | Olmsted
 | Otter Tail
 | Pennington
 | Pine
 | Pipestone
 | Polk
 | Pope
 | Ramsey
 | Red Lake
 | Redwood
 | [NAME]
 | [NAME]
 | Rock
 | Roseau
 | St. Louis
 | Scott
 | [NAME]
 | Sibley
 | Stearns
 | Steele
 | [NAME]
 | Swift
 | Todd
 | Traverse
 | Wabasha
 | Wadena
 | Waseca
 | Washington
 | [NAME]
 | Wilkin
 | Winona
 | [NAME]
 | Yellow Medicine
Spreadsheet: 2047a074-374d-4a16-916f-3e82e3d8267e
Sheet: FA 12 - Data

[NAME]
Focus Area 12 - Heart Disease and Stroke - Pennsylvania
Objective Number | Objective Title | Baseline Data | Final Data | HP2010 Goal | Target Progress
12-01 | [NAME] Disease Deaths (age-adjusted per 100,000 population) | 225.7 (1996) | 138.5 (2008) | 166 | Met or exceeded target
12-06a | Hospitalizations (aged 65-74) for Congestive Heart Failure (rate per 1,000 population) | 15.7 (1996) | 5.1 (2008) | 6.5 | Met or exceeded target
12-06b | Hospitalizations (aged 75-84) for Congestive Heart Failure (rate per 1,000 population) | 32.6 (1996) | 13.3 (2008) | 13.5 | Met or exceeded target
12-06c | Hospitalizations (aged 85+) for Congestive Heart Failure (rate per 1,000 population) | 53.3 (1996) | 26.0 (2008) | 26.5 | Met or exceeded target
12-07 | Stroke Deaths (age-adjusted per 100,000 population) | 59.8 (1996) | 41.8 (2008) | 48 | Met or exceeded target
12-09 | Adults (aged 20+) with High Blood Pressure (age-adjusted percentage) | 23 ± 2 (1996) | 35 ± 2 (2009) | 16 | Moved away from target
12-15 | Adults with Blood [NAME] in Past 5 Years (age-adjusted percentage) | 66 ± 2 (1996) | 76 ± 2 (2009) | 80 | Moved toward target
Note: The list of objectives above are limited to those for which Pennsylvania data were available.
Spreadsheet: 58823d1259083472-excel-2007-how-to-add-items-to-a-dropdown-list-dynamically-by-typing-in-the-dropdown-list-cell-tanf_-_requirement_gathering_template_-final-
Sheet: Reception

 |  | DATA Gathering Template
Program | Temporary Assistance - Family Assistance and Safety Net
Function Name
Activity Name
Activity Description / Purpose | Reception can include activities involving the interaction between a client/customer or advocate and a worker and the presentation of potential needs or requests or services
 |  |  | Activity Predecessor | Activity [NAME] | Activity Input | Activity Output | Activity Successors
 |  |  | Customer | Request for Services | New Application | Completed Application Packet | Pre-Screening
 |  | Structure | Function/manager
Steps | Tasks A task is any action that is being performed to complete a step | What unit does this? (SU) | Who does this? (W) | Applications used / System Interfaces / Tools Is there an automated system supporting the activity? | What happens before this? (P) | What causes the activity to happen (T) | Additional Information that is needed (I) | Is anything produced? (O) | What happens next ? (S) | V | Comments |  |  |  | Questions | Workarounds | Constraints/ Issues | Opportunities | Policy Considerations | Best Practices | Follow-Up | Comments
Send mailed or faxed applications/information to another unit/person
Assess visitor for purpose of visit and need
Give customer applications to be completed for benefits
[NAME]
Notify workers of customers waiting
Process customer’s mail
Process No-show appointments and reschedule
Support workers in providing Customer Service, such as questions, routing complaints
New Step…
Spreadsheet: 872794d1719238275-power-query-pivot-table-timesheet-query-1
Sheet: Empl2

Name | Dept | W/E | Proj3 | Meeting | [NAME] | Proj4
Empl2 | Detp2 | 2024-04-07 00:00:00 | 20
Empl2 | Detp2 |  | 18
Empl2 | Detp2 |  | 16
Empl2 | Detp2 |  | 18
Empl2 | Detp2 |  | 16
Empl2 | Detp2 |  | 16
Empl2 | Detp2 |  | 16
Empl2 | Detp2 |  | 16
Empl2 | Detp2 |  | 16
Empl2 | Detp2 |  | 16
Empl2 | Detp2
Empl2 | Detp2
Empl2 | Detp2
Empl2 | Detp2
Empl2 | Detp2
Empl2 | Detp2
Empl2 | Detp2
Empl2 | Detp2
Empl2 | Detp2
Empl2 | Detp2
Spreadsheet: 162440d1339877145-sumifs-multiple-criteria-incl-unique-values-uni
Sheet: Sheet1

Name | # | Type | Value | Activation | Helper | 1 | type1
[NAME] | 0 | type1 | 200 | 1
[NAME] | 1 | [NAME] | 2 | 0
[NAME] | 2 | type1 | 400 | 0
[NAME] | 3 | [NAME] | 40 | 1
[NAME] | 0 | type1 | 200 | 1
[NAME] | 4 | [NAME] | 4 | 1
[NAME] | 2 | type1 | 400 | 1
[NAME] | 3 | [NAME] | 40 | 1
[NAME] | 5 | type1 | 200 | 1
Spreadsheet: 1ef50df9-fd95-4868-9812-e00d22eb4d07
Sheet: 7a

Product1 | Cleared2 | Uncleared | TOTAL
Fixed-Float | 112092988 | 71138962 | 183231950
FRA | 54001749 | 6732228 | 60733977
OIS | 28587846 | 7589599 | 36177445
Swaption | - | 18051711 | 18051711
OTHER* | 5452340 | 26465535 | 31917875
TOTAL | 200134923 | 129978035 | 330112958
* OTHER variable includes the following products: Basis, Cap/Floor, Debt Option, Exotic, Fixed-Fixed, and Inflation.
Spreadsheet: 246d3e9c-b78b-47d1-8bdd-b473e322fcf2
Sheet: 7d

 | Swap Dealers/MSPs5 |  | Others
Product1 | Cleared2 | Uncleared | Cleared | Uncleared
Fixed-Float | 232234866 | 102817670 | 23735806 | 48249046
FRA | 77558737 | 12629453 | 7835804 | 3338542
OIS | 44156091 | 13167721 | 6205927 | 4498412
OTHER* | 11510920 | 73945071 | 1064702 | 21759393
TOTAL | 365460614 | 202559915 | 38842239 | 77845393
*OTHER variable includes the following products: Basis, Swaption, Cap/Floor, Debt Option, Exotic, Fixed-Fixed, and Inflation.
Spreadsheet: 5c72a999-ea40-4927-b697-51857d017f7f
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: New Residential Construction
 |  | Housing Units Completed: United States
 |  | Seasonally Adjusted Total Units [Thousands of Units]
 |  | Period: 2008 to 2012
 |  | Data Extracted on: October 25, 2014 (11:58 pm)
Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec
2008
2009
2010
2011
2012