tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: c407f1fd-5152-4491-9118-fac7251e7467
Sheet: Sheet1

Bevölkerung des Freistaates Sachsen nach ausgewählten Altersgruppen | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4
Döbeln, Stadt - Variante 2
Alter von ... bis                     unter ... Jahren | 2011 | 2015 | 2020 | 2025
1 000
unter 20 | 2934 | 3044 | 2949 | 2710
20 - 60 | 11177 | 9853 | 8783 | 7703
60 und mehr | 6966 | 7271 | 7436 | 7695
Insgesamt | 21077 | 20168 | 19168 | 18108
%
unter 20 | 13.92038715187171 | 15.09321697738993 | 15.38501669449082 | 14.96576098961785
20 - 60 | 53.02936850595435 | 48.85462118207061 | 45.82116026711186 | 42.53920918930859
60 und mehr | 33.05024434217393 | 36.05216184053947 | 38.79382303839733 | 42.49502982107356
Insgesamt | 100 | 100 | 100 | 100
Abhängigkeitsquotient
Jugendquotient | 26.25033551042319 | 30.89414391555871 | 33.57622680177616 | 35.18109827339998
Altenquotient | 62.32441621186366 | 73.79478331472647 | 84.66355459410224 | 99.89614435934052
Gesamtquotient | 88.57475172228683 | 104.6889272302852 | 118.2397813958784 | 135.0772426327405
Gebietsstand: | 1. Januar 2012
Quelle: | 2011 Bevölkerungsfortschreibung auf Basis der [NAME] vom 03. Oktober 1990
 | 2012 - 2025 Bevölkerungsprognose
Bevölkerung jeweils am 31. Dezember
Prognoseergebnisse werden bei der Veröffentlichung immer auf volle [NAME] gerundet. [NAME] basieren [NAME] ungerundeten Werten. Beim [NAME] der [NAME] werden Ihnen die ungerundeten [NAME] zur Verfügung gestellt, damit [NAME] eigenen Berechnungen genauer durchführen können. Die Darstellung der Ergebnisse sollte dann aber wieder gerundet erfolgen.
Spreadsheet: 870787d1717227212-i-have-a-problem-with-solving-a-matrix-matrix19x19
Sheet: Sheet1

 | 1 | 1 | 1 | 1 | 1 | -28
1 | -8 | 1 | 1 | 1 | 1 | -28
1 | 1 | -4 | 1 | 1 | 1 | -28
1 | 1 | 1 | -13 | 1 | 1 | -28
1 | 1 | 1 | 1 | -7 | 1 | -28
1 | 1 | 1 | 1 | 1 | -11 | -28
 | -0.04888268156424581 | -0.08798882681564246 | -0.03142458100558659 | -0.05499301675977654 | -0.03666201117318436
-0.04888268156424581 | -0.1545623836126629 | -0.07821229050279328 | -0.02793296089385474 | -0.04888268156424581 | -0.03258845437616387
-0.08798882681564245 | -0.0782122905027933 | -0.340782122905028 | -0.05027932960893854 | -0.08798882681564246 | -0.05865921787709497
-0.03142458100558659 | -0.02793296089385474 | -0.05027932960893854 | -0.08938547486033518 | -0.03142458100558659 | -0.02094972067039106
-0.05499301675977654 | -0.04888268156424581 | -0.08798882681564246 | -0.03142458100558659 | -0.1799930167597766 | -0.03666201117318436
-0.03666201117318436 | -0.03258845437616387 | -0.05865921787709497 | -0.02094972067039106 | -0.03666201117318436 | -0.1077746741154562
Spreadsheet: 754696d1636453775-matching-row-and-adding-colomn-with-matching-header-sample-1
Sheet: Progress (2)

 |  | 2021-11-08 00:00:00
S/N | Task
16
17 | CHVAC Ducting FAB Zone 4 L1 | 7 | 7 | 7 | 7 | 7 | 7 | 7
25 | CHVAC Ducting FAB Zone 4 L2 |  |  |  |  |  |  |  | 6 | 6 | 6 | 6 | 6 | 6 | 6
33 | CHVAC Ducting FAB Zone 1 L3 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5 | 5 | 5 | 5 | 5 | 5 | 5
41 | CHVAC Ducting FAB Zone 2 L3 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4 | 4 | 4 | 4 | 4 | 4 | 4
49 | CHVAC Ducting FAB Zone 3 L3 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3 | 3 | 3 | 3 | 3 | 3 | 3
Spreadsheet: 461910d1463766488-populating-target-cells-based-on-source-values-with-a-twist-3567-bsb-
Sheet: Plan

Audience | 2016-06-05 00:00:00
Premises
HR
Finance
 |  |  |  |  |  |  | `
Spreadsheet: 53659d1253598869-transferring-data-from-many-sheets-to-a-single-sheet-bank-sample
Sheet: Report

DAILY CONSOLIDATED BANK REPORT |  |  |  |  |  | 2009-06-30 00:00:00 | 39994 | >39994
A/c Details | Clear Balance As On | Cheques Issued for Today | Total Post Dated Cheques Issed | Expected Receipts | Shoftfall/Surplus for Next Day | Shortfall/Surplus Overall |  |  | Remarks
 | 2009-06-30 00:00:00 | 2009-07-01 00:00:00
Kotak 811 | -30466.31 | 46000 | 46000 | 250000 | -76466.31 | 173533.69
Citi 018
ICICI T1
ICICI T2
ICICI D1
ICICI D2
ICICI B1
ICICI B2
BOB 229
ICICI P2
ICICI H2
ICICI K2
ICICI C2
ICICI T3
ICICI KC2
ING CC
ING 560
DAILY TRANSACTIONS REPORT |  |  |  |  |  | 2009-06-30 00:00:00
Clearing Dt | Issue Dt | Dr/Cr | Particulars | Chq No | Deposits | Withdrawal | Balance | Remarks
Kotak Mahindra Bank xxxxxxxxxxxxxxxx811
2009-06-30 00:00:00 | 2009-06-27 00:00:00 | Cr | Royal Securities | 000821 |  | 8000
2009-06-30 00:00:00 | 2009-06-29 00:00:00 | Cr | G.G. Service Station | 000825 |  | 19636
2009-06-30 00:00:00 | 2009-06-27 00:00:00 | Cr | Star enterprises | 000816 |  | 3321
2009-06-30 00:00:00 | 2009-06-29 00:00:00 | Cr | C.Cantt | 000823 |  | 25000
2009-06-30 00:00:00 | 2009-06-30 00:00:00 | Dr | Cash Manpada |  | 80000
2009-06-30 00:00:00 | 2009-06-29 00:00:00 | Cr | Arihant Tyres | 000822 |  | 74500
2009-06-30 00:00:00 | 2009-06-30 00:00:00 | Dr | FTD From 831.210.20 To 656.200.811 |  | 50528
2009-06-30 00:00:00 | 2009-06-30 00:00:00 | Dr | RTGS RAVI ROAD LINES INDIA PVT LTD SHO |  | 375000
2009-06-30 00:00:00 | 2009-06-30 00:00:00 | Cr | Contra |  |  | 500000
Clearing Dt | Issue Dt | Dr/Cr | Particulars | Chq No | Deposits | Withdrawal
Citibank xxxxxxxxxxxxxxx018
2009-06-30 00:00:00 | 2009-06-28 00:00:00 | Dr | XYZ Corp |  | 34000
2009-06-30 00:00:00 | 2009-06-28 00:00:00 | Cr | Battery Supplier |  |  | 180
2009-06-30 00:00:00 | 2009-06-28 00:00:00 | Cr | NEFT/PK Enterprises |  |  | 15000
2009-06-30 00:00:00 | 2009-06-29 00:00:00 | Cr | Baby Seats Mfg. |  |  | 15000
Spreadsheet: 817791d1676447224-changing-all-uom-from-same-column-in-to-one-common-uom-example
Sheet: Sheet1

 | Number | From Unit | To Unit | Result
 | 355ml | ml | [NAME] | 0.355kg
 | 100l | l | [NAME] | 100kg |  | 100kg
 | 4kg | [NAME] | [NAME] | 4kg |  | 4kg
 | 25g | g | [NAME] | 0.025kg |  | 0.025kg
 | 5l | l | [NAME] | 5kg |  | 5kg
 | 1kg | [NAME] | [NAME] | 1kg |  | 1kg
 | 2kg | [NAME] | [NAME] | 2kg |  | 2kg
 | 4l | l | [NAME] | 4kg |  | 4kg
 | 400kg | [NAME] | [NAME] | 400kg |  | 400kg
 | 10.5kg | [NAME] | [NAME] | 10.5kg |  | 10.5kg
 | 0.5g | g | [NAME] | 0.0005kg |  | 0.0005kg
 | 250g | g | [NAME] | 0.250kg |  | 0.25kg
 | 10l | l | [NAME] | 10kg |  | 10kg
 | 4kg | [NAME] | [NAME] | 4kg |  | 4kg
Spreadsheet: 1b535efe-cf74-4bcc-8716-2dbfa431105c
Sheet: Sheet1

Table 5--Corn: Food, seed, and industrial use (million bushels), 10/15/2012 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9
Mkt year and qtr 1/ |  | High-fructose corn syrup (HFCS) | Glucose and dextrose | Starch | Alcohol for fuel | Alcohol for beverages and manufacturing | Cereals and other products | Seed | Total food, seed, and industrial use
2010/11 | Q1 Sep-Nov | 126.248 | 65.111 | 66.286 | 1240.169 | 33.02 | 49.115 | 0 | 1579.949
 | [NAME] | 116.275 | 59.718 | 62.534 | 1257.314 | 34.588 | 48.575 | 0 | 1579.004
 | [NAME] | 138.897 | 70.856 | 64.409 | 1259.428 | 36.164 | 49.655 | 20.24 | 1639.649
 | [NAME] | 139.635 | 76.694 | 64.697 | 1264.303 | 31.228 | 49.655 | 2.76 | 1628.972
 | MY Sep-Aug | 521.055 | 272.379 | 257.926 | 5021.214 | 135 | 197 | 23 | 6427.574
2011/12 | Q1 Sep-Nov | 119.636 | 77.965 | 64.652 | 1268.06 | 33.302 | 50.732 | 0 | 1614.347
 | [NAME] | 115.001 | 71.002 | 62.025 | 1304.873 | 34.93 | 50.732 | 0 | 1638.563
 | [NAME] | 136.829 | 72.977 | 62.138 | 1246.99 | 36.586 | 50.531 | 23.452 | 1629.503
 | [NAME] | 141.279 | 72.457 | 64.9 | 1180.076 | 31.682 | 51.233 | 0.958 | 1542.585
 | MY Sep-Aug | 512.744 | 294.402 | 253.715 | 5000 | 136.5 | 203.229 | 24.41 | 6425
2012/13 | MY Sep-Aug | 465 | 285 | 235 | 4500 | 135 | 205 | 25 | 5850
1/ September-August.  Latest data may be preliminary or projected. Source: Calculated by USDA, Economic Research Service.
Date run: 10/14/2012
Spreadsheet: 818b5fc8-278c-4856-b789-915c50ce8b7b
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
21DOC | Test | 21DOC | 21-Deoxycortisol, Serum | 21-Deoxycortisol, S | Liquid Chromatography-Tandem Mass Spectrometry (LC-MS/MS) | Plain, Red-Top or serum gel tube: Red |  |  | 0.3 | mL | Container/Tube:  Preferred: Red top Acceptable: Serum gel [NAME]: 1 mL Collection Instructions: Morning (8 a.m.) specimen is preferred. | 0.25 mL | Hemolysis	Mild OK; Gross reject Thawing	Warm OK; Cold OK Lipemia	Mild reject; Gross reject Icterus	NA Other	NA | <5.0 ng/dL Reference values apply to all ages. | Tuesday; 2 p.m. | 3 days | 9 days | 1 | 83789 |  |  |  |  | Rochester
21DOC | [NAME] | SERUM | Serum |  |  |  | Refrigerated | 7 days
21DOC | Result | 89477 | 21-Deoxycortisol, S | 21-Deoxycortisol, S | Numeric |  |  |  |  | ng/dL |  |  |  |  |  |  |  |  |  | In Process
Spreadsheet: 5dd849b2-f2f7-458a-9b0c-45b4d0e76d03
Sheet: Table 8.3

8.3 Unemployment rates
 |  |  |  |  |  | Months (a)
 | Annual average (a) (b) |  |  |  |  | 2014
Country | 2010 | 2011 | 2012 | 2013 |  | May | Jun | Jul | Aug
Australia | 5.2 | 5.1 | 5.2 | 5.7 |  | 5.8737 | 6.0176 | 6.0242 | 5.952 |  |  | OECD Average
Canada | 8 | 7.5 | 7.2 | 7.1 |  | 7 | 7.1 | 7 | 7
France | 9.3 | 9.2 | 9.8 | 10.3 |  | 10.2 | 10.4 | 10.5 | 10.5
Germany | 7.1 | 6 | 5.5 | 5.3 |  | 5 | 5 | 4.9 | 4.9
Italy | 8.4 | 8.4 | 10.7 | 12.2 |  | 12.6 | 12.3 | 12.6 | 12.3
Japan | 5.1 | 4.6 | 4.4 | 4 |  | 3.5 | 3.7 | 3.8 | 3.5
Korea | 3.7 | 3.4 | 3.2 | 3.1 |  | 3.7 | 3.6 | 3.4 | 3.5
New Zealand (c) | 6.5 | 6.5 | 6.9 | 6.2 |  |  | 5.4
United Kingdom | 7.8 | 8 | 7.9 | 7.5 |  | 6.3 | 6.2
United States | 9.6 | 9 | 8.1 | 7.4 |  | 6.3 | 6.1 | 6.2 | 6.1
EU Average | 9.6 | 9.6 | 10.5 | 10.8 |  | 10.3 | 10.2 | 10.2 | 10.1
G7 Average | 8.2 | 7.6 | 7.4 | 7.1 |  | 6.4372 | 6.3697 | 6.4382 | 6.3484
OECD Average | 8.3 | 7.9 | 7.9 | 7.9 |  | 7.3963 | 7.3293 | 7.3704 | 7.288
(a) Unemployment as a percentage of labour force.
(b) Years shown are calendar years.
(c) Data only available quarterly.
(d) Monthly data seasonally adjusted
Note: Unemployment rates shown above have been adjusted as necessary by the OECD
to conform to international definitions and to ensure consistency over time.
Source: OECD, iLibrary; Statistics NZ
 |  |  |  |  |  |  |  |  |  |  |  | Update
 |  |  |  |  |  |  |  |  |  |  |  | December 2014
Spreadsheet: 21703d1209542246-why-is-the-s-s-not-linear-copy-of-book2
Sheet: Mackk Engine

Inputs
Selling Price | 20000 | 17000
Manufacturing Costs | 15000 | 14000
Holding Costs | 2000 | 2000
Inventory on hand prior to production | 0 | 0
Production
 | Year 1 | Year 2 | Year 3 | Total
Type 1 Produced | 0 | 0 | 320 | 320
Type 2 Produced | 320 | 100 | 0 | 420
Toal Produced P/Year | 320 | 100 | 320 | 740
 | <= | <= | <=
Production Capacity | 320 | 320 | 320
Type 1
Total inventory availbale | 0 | 0 | 320
Demand | 100 | 200 | 300
Inventory At End | -100 | -200 | 20
Amount Sold | 0 | 0 | 300
Type 2
Total Inventory Available | 320 | 220 | 120
Demand | 200 | 100 | 150
Inventory At End | 120 | 120 | -30
Amount Sold | 200 | 100 | 120 |  | Emissions | Produced |  | Allowed
 |  |  |  |  |  | 6900 | <= | 7400
Revenue
Type 1 | 6000000
Type 2 | 7140000
Total Rev | 13140000
Costs
Manufacturing Type 1 | 4800000
Manufacturing Type 2 | 5880000
Handing Costs Type 1 | 40000
Holding Costs Type 2 | 480000
Total Cost | 11200000
Profit | 1940000
Spreadsheet: 840405d1692713487-how-can-i-condense-a-list-of-scattered-names-in-a-column-test103
Sheet: Sheet1

our cutomers | Govt List
118 PRINT & DESIGN LIMITED | 10 Motives Ltd |  |  |  | 151 Products Ltd
151 Products Ltd | 151 Products Ltd | 3V Natural Foods Ltd |  |  | 3V Natural FoodsLtd
17MCC | 2K Polymer Systems Ltd | A.E. Rodda & Son Ltd |  |  | A.E.Rodda & Sons Ltd
19 LTD | 2M Holdings Ltd
1st CLASS PACKAGING LTD | 3M UK Holdings Ltd
2000 TEST EQUIPMENT | 3V Natural Foods Ltd
266 WINES | 4 Degreesc Ltd
2 Co Ltd | 3D Displays Ltd.
2 Recycling Ltd | A & J Scott Ltd
2 SISTERS FOOD GROUP LTD | A 2 C Services Ltd
3A MANUFACTURING LTD | A B LEWIS LTD
3B Design & Print | A H Worth Ltd
3B-IT LTD | A J Webb & Son (Sheffield) Ltd
3V Natural Foods Ltd | A Nelson & Co Ltd
3G Technologies Ltd | A P Taylor Ltd
3P DIRECT | A S Green Ltd
3S SIGNS | [NAME] Gainsborough Ltd
40 DEGREES | A. Schulman Thermoplastic Compounds Ltd
471 PRINT & PROMOTIONS LTD | [NAME] (Drums) Ltd
47 PRINT PARTNERSHIP LIMITED | A.B. PRODUCE PLC
53 North Aviation Ltd | A.B.M. Catering Ltd
5 A DAY BOX | A.C. Worldwide Group Ltd
A.E. Rodda & Son Ltd | A.E. Rodda & Son Ltd
A&A MARKETING | A.E. Rodda & Son Ltd
A & A PACKAGING COMPANY | A.E.Adams(Henfield)Ltd
A&C FOODS LTD | A.E.S. Engineering Ltd
A&E SUPPLIES | A.F.BLAKEMORE AND SON LTD
 | A NILES  T/A EMPRESS LUXURIES
Spreadsheet: 56fc6c8f-a0c1-41a9-96b0-b8749e2950a8
Sheet: Global Markets Accept. Criteria

Acceptance Criteria for the
Global Markets Program for Primary Production Basic or Intermediate Level Assessment Field Operations and Harvesting
In addition to the USDA acceptance criteria, growers utilizing this audit to meet Global Markets Program for Primary Production Basic or Intermediate Level Assessment requirements must meet the following additional criteria, which are listed as major elements within the  Global Markets Capacity Building Program for Primary Production.
Audit Element (s) | Criteria
1.3.1 | Raw Material Sourcing
1.4.1 | Documentation & Recordkeeping
1.5.1 | Worker Training
1.9.1 | Self Audits
1.10.2 | Ag Chemicals, Biocides, Plant Protection Products
1.11.1 | Water Use
1.11.3 | Water System Assessment
1.13.2 & 1.13.5 | Master Sanitation Schedule
1.14.1, 1.14.3 & 1.14.4 | Storage Areas
1.18.1 | Lubrication
1.21.1, 1.21.2 | Toilet Facilities
1.21.7 & 1.21.8 | Employee Hygienic Practices
1.24 | Pest & Animal Control (includes all 3 sub-questions)
2.3, 2.4 & 2.5 | Water Treatment Procedures
4.1.1 | Customer Specifications
4.1.2 | Risk Assessment of Packinghouse
4.1.3 | Critical Control Points, HACCP Plan
4.1.6, 4.1.7 & 4.1.8 | Record of Food Safety Non-conformances, Complaints, and Corrective Actions
Spreadsheet: 88349d1288192500-random-number-order-rand
Sheet: Sheet1

rand() | list |  | random list
0.1086802309937192 | 1 |  | 10
0.559875589315785 | 2 |  | 5
0.7494896703240976 | 3 |  | 1
0.9493792529628666 | 4 |  | 6
0.06497034831313986 | 5 |  | 7
0.2851177833465501 | 6 |  | 2
0.3530772464683352 | 7 |  | 9
0.7829645655196034 | 8 |  | 3
0.7063249680246138 | 9 |  | 8
0.02883796973166763 | 10 |  | 4
Spreadsheet: 812378d1673110395-split-string-into-separate-columns-without-delimiter-s666-pq-example-split-string-to-columns
Sheet: Sheet3

Cmp | Div | [NAME] | Function | Sts | Option 1-9 | Function keys | Option 10-99 | Option 1 | Option 2 | Option 3 | Option 4 | Option 5 | Option 6 | Option 7 | Option 8 | Option 9 | F1 | F2 | F3 | F4 | F5 | F6 | F7 | F8 | F9 | [NAME] | F11 | F12 | F13 | F14 | F15 | F16 | F17 | F18 | F19 | F20 | F21 | F22 | F23 | F24 | Option 10 | Option 11 | Option 12 | Option 13 | Option 14 | Option 15 | Option 16 | Option 17 | Option 18 | Option 19 | Option 20 | Option 21 | Option 22 | Option 23 | Option 24 | Option 25 | Option 26 | Option 27 | Option 28 | Option 29 | Option 30 | Option 31 | Option 32 | Option 33 | Option 34 | Option 35 | Option 36 | Option 37 | Option 38 | Option 39 | Option 40 | Option 41 | Option 42 | Option 43 | Option 44 | Option 45 | Option 46 | Option 47 | Option 48 | Option 49 | Option 50 | Option 51 | Option 52 | Option 53 | Option 54 | Option 55 | Option 56 | Option 57 | Option 58 | Option 59 | Option 60 | Option 61 | Option 62 | Option 63 | Option 64 | Option 65 | Option 66 | Option 67 | Option 68 | Option 69 | Option 70 | Option 71 | Option 72 | Option 73 | Option 74 | Option 75 | Option 76 | Option 77 | Option 78 | Option 79 | Option 80 | Option 81 | Option 82 | Option 83 | Option 84 | Option 85 | Option 86 | Option 87 | Option 88 | Option 89 | Option 90 | Option 91 | Option 92 | Option 93 | Option 94 | Option 95 | Option 96 | Option 97 | Option 98 | Option 99
790 | AAA | BUDGET | BUS005 | 10 | 111111111 | 111111111111111111111111 | 111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111
790 | AAA | BUDGET | BUS006 | 10 | 111111000 | 111111111111111111111111 | 111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111
790 | AAA | BUDGET | BUS007 | 10 | 100111111 | 111111111111111111111111 | 111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111
790 | AAA | BUDGET | BUS008 | 10 | 111111111 | 111111111111111111111111 | 111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111
790 | AAA | BUDGET | BUS009 | 10 | 111111111 | 111111111111111111111111 | 111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111
790 | AAA | BUDGET | BUS010 | 10 | 111111111 | 111111111111111111111111 | 111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111
790 | AAA | BUDGET | BUS011 | 10 | 111111111 | 111111111111111111111111 | 111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111
790 | AAA | BUDGET | BUS012 | 10 | 111111111 | 111111111111111111111111 | 111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111
Spreadsheet: 868653d1715333318-linest-function-incorrect-result-book1
Sheet: Sheet1

 |  |  | RPM | Dial Reading | Shear Stress (lbf/100 ft²) | Shear Rate (s−1)
 |  |  | 300 | 20 |  |  |  | Shear Stress
 |  |  | 200 | 16.5
 |  |  | 100 | 14
 |  |  | 60 | 13
 |  |  | 30 | 11.5 |  |  |  |  |  |  |  | Shear rate
 |  |  | 6 | 8
 |  |  | 3 | 7 |  |  |  |  |  |  | 4.585539729441489
 |  |  |  |  |  |  |  |  |  | 0.1759526454103173 | 0.4214024605263767
 |  |  |  |  |  |  |  |  |  | 0.9018140071942149 | 0.8017430584238334
 |  |  |  |  |  |  |  |  |  | 45.92376068234248 | 5
 |  |  |  |  |  |  |  |  |  | 29.51942284134599 | 3.213959658654012
Spreadsheet: 266557d1379664367-need-index-match-formula-that-arranges-xs-in-bottom-rows-and-then-starts-arranging-ys-rearrange-stng-chrt
Sheet: Sheet2

1 | [NAME] | Smith |  |  |  |  |  |  |  |  |  | male
2 | [NAME] | Jones |  |  |  |  |  |  |  |  |  | male
3 | Gina | Decker |  |  |  |  |  |  |  |  |  | female
4 | [NAME] | Enz |  |  |  |  |  |  |  |  |  | female
5 | [NAME] | [NAME] |  |  |  |  |  |  |  |  |  | male
6 | [NAME] | [NAME] |  |  |  |  |  |  |  |  |  | male
7 | Sue | Moseley |  |  |  |  |  |  |  |  |  | female
8 | [NAME] | [NAME] |  |  |  |  |  |  |  |  |  | female
9 | Will | Gross |  |  |  |  |  |  |  |  |  | male
10 | Shawn | Reeves |  |  |  |  |  |  |  |  |  | male
11 | April | Hope |  |  |  |  |  |  |  |  |  | female
12 | May | [NAME] |  |  |  |  |  |  |  |  |  | female
13 | [NAME] | [NAME] |  |  |  |  |  |  |  |  |  | male
14 | Nate | Gust |  |  |  |  |  |  |  |  |  | male
15
16
Spreadsheet: 885733d1735569356-trying-to-find-teams-for-position-playoff-top-2-against-one-another-and-so-forth-play-order
Sheet: Team Matches

 | WEEK 1 |  | WEEK 2 |  | WEEK 3 |  | WEEK 4 |  | WEEK 5 |  | WEEK 6 |  | WEEK 7 |  | WEEK 8 |  | WEEK 9 |  | WEEK 10
Team # | 1 |  | 1 |  | 1 |  | 1 |  | 1 |  | 1 |  | 1 |  | 1 |  | 1 |  | 5
 | 10 |  | 3 |  | 5 |  | 7 |  | 9 |  | 2 |  | 4 |  | 6 |  | 8 |  | 2
 | 2 |  | 2 |  | 2 |  | 2 |  | 2 |  | 3 |  | 2 |  | 2 |  | 2 |  | 3
 | 9 |  | 10 |  | 4 |  | 6 |  | 8 |  | 9 |  | 3 |  | 5 |  | 7 |  | 10
 | 3 |  | 4 |  | 3 |  | 3 |  | 3 |  | 4 |  | 5 |  | 3 |  | 3 |  | 1
 | 8 |  | 9 |  | 10 |  | 5 |  | 7 |  | 8 |  | 9 |  | 4 |  | 6 |  | 8
 | 4 |  | 5 |  | 6 |  | 4 |  | 4 |  | 5 |  | 6 |  | 7 |  | 4 |  | 6
 | 7 |  | 8 |  | 9 |  | 10 |  | 6 |  | 7 |  | 8 |  | 9 |  | 5 |  | 9
 | 5 |  | 6 |  | 7 |  | 8 |  | 5 |  | 6 |  | 7 |  | 8 |  | 9 |  | 7
 | 6 |  | 7 |  | 8 |  | 9 |  | 10 |  | 10 |  | 10 |  | 10 |  | 10 |  | 4
Spreadsheet: 63694d1264579318-xl-2008-dynamic-chart-not-acting-dynamically-budget92_08
Sheet: Actual

LN=Actual beta v .92 | Data entry up to YELLOW column only!
Account | Date | Type | Memo | Check No. | Amt | Ref | Jan Actual | Feb Actual | [NAME] | Apr Actual | May Actual | Jun Actual | Jul Actual | Aug Actual | Sep Actual | Oct Actual | Nov Actual | Dec Actual
Meals - Regular | 2010-01-02 00:00:00 | Check |  | 101 | -1000 | x
Rent | 2010-01-02 00:00:00 | Check | Rent prepaid until Mar 30 2010 | 124 | -200
Meals - Special | 2010-01-05 00:00:00 | Check |  | 129 | -878 | x
Office Supplies | 2010-02-03 00:00:00 | Check |  | 125 | -987
GL Comm Assis. | 2010-02-03 00:00:00 | Check |  | 126 | -3000
IORG | 2010-03-01 00:00:00 | Check |  | 127 | -50
Donations - from member | 2010-03-03 00:00:00 | Deposit | [NAME] | 102 | 100
Demolay | 2010-04-04 00:00:00 | Check |  | 128 | -78.95 | x
Awards | 2010-04-06 00:00:00 | Check |  | 130 | -84
GL fees | 2010-04-22 00:00:00 | Check |  | 131 | -99
Donations - from others | 2010-04-24 00:00:00 | Deposit | [NAME] | 132 | 75
GL Comm Assis. | 2010-03-13 00:00:00 | Check |  | 133 | -55.5
Degree expense | 2010-01-10 00:00:00 | Check |  | 134 | -600
Demolay | 2010-01-10 00:00:00 | Check | Advertisement | 135 | -54.4
Demolay | 2011-02-12 00:00:00 | Check | Hosting Dinner | 136 | -66
Donation - to [NAME] | 2011-03-03 00:00:00 | Check |  | 137 | -77
Donations - from member | 2010-02-02 00:00:00 | Deposit | [NAME] | 138 | 100
Awards | 2010-02-02 00:00:00 | Check |  | 139 | -100
Awards | 2010-02-02 00:00:00 | Check |  |  | -101
Degree expense | 2010-02-03 00:00:00 | Check |  | 140 | -49
Spreadsheet: 853933d1703874742-conditionally-formatting-need-to-skip-blank-rows-in-conditions-conditional-format
Sheet: Sheet1

Value
9
5
2
6
7
5
6
9
9
6
1
3
1
8
2
7
4
5
2
4
Spreadsheet: 0b477ac8-2f82-4b99-b596-505372f1fa5c
Sheet: Sheet1

Unnamed: 0 | State of New Hampshire - General Election | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7
2012-11-06 00:00:00 | President and Vice-President of the United States
Summary By Counties | [NAME] and [NAME], r | [NAME] and Biden, d | [NAME] and [NAME], [NAME] | [NAME] and Clymer, con | [NAME] write-in | [NAME] write-in | [NAME]
Belknap | 17571 | 15890 | 276 | 27 | 72 | 15 | 36
Carroll | 14207 | 13977 | 251 | 33 | 85 | 16 | 33
Cheshire | 15156 | 25380 | 545 | 65 | 108 | 31 | 75
Coos | 6342 | 9095 | 165 | 17 | 54 | 4 | 22
[NAME] | 18208 | 29826 | 666 | 66 | 123 | 47 | 78
Hillsborough | 99991 | 102303 | 2541 | 184 | 340 | 82 | 226
Merrimack | 34524 | 44756 | 899 | 70 | 165 | 30 | 70
Rockingham | 87921 | 80142 | 1737 | 156 | 222 | 52 | 193
[NAME] | 26729 | 36026 | 856 | 57 | 160 | 39 | 102
[NAME] | 9269 | 12166 | 276 | 33 | 45 | 8 | 40
TOTALS | 329918 | 369561 | 8212 | 708 | 1374 | 324 | 875
Belknap County | [NAME] and [NAME], r | [NAME] and Biden, d | [NAME] and [NAME], [NAME] | [NAME] and Clymer, con | [NAME] write-in | [NAME] write-in | [NAME]
Alton | 2147 | 1207 | 15 | 2 | 9 | 1 | 1
Barnstead | 1254 | 1125 | 30 | 1 | 7 | 1 | 1
Belmont | 1816 | 1782 | 40 | 4 | 6 | 3 | 4
Center Harbor | 406 | 308 | 2 | 0 | 1 |  | 1
Gilford | 2448 | 2133 | 33 | 2 | 13 | 4 | 3
Gilmanton | 1151 | 1013 | 18 | 3 | 6 | 1 | 2
[NAME] | 811 | 605 | 7 | 0 | 0
[NAME] | 494 | 615 | 13 | 1 | 1
[NAME] 3 | 669 | 706 | 6 | 0 | 0 |  | 6
[NAME] | 525 | 647 | 0 | 1 | 4 |  | 2
[NAME] | 447 | 602 | 14 | 2 | 5 | 1 | 1
[NAME] 6 | 913 | 763 | 13 | 2 | 4 |  | 4
Meredith | 2088 | 1853 | 27 | 7 | 0 |  | 1
New Hampton | 636 | 646 | 11 | 1 | 3 | 1 | 6
Sanbornton | 913 | 888 | 19 | 1 | 5 | 2 | 2
[NAME] | 853 | 997 | 28 | 0 | 8 | 1 | 2
TOTALS | 17571 | 15890 | 276 | 27 | 72 | 15 | 36