tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 813965d1674075565-selecting-the-nearest-static-location-weather-station-for-a-list-of-gps-tracker-points-gps_weather_sample_data
Sheet: Alcala Weather

Station name | Latitude | Longitude | dt_iso | Date_Time | T_Min (C) | [NAME] (C) | Pressure (hPa) | Humidity (%) | Wind_Speed (m/s) | Wind_Deg (˚) | [NAME]) | Clouds (%)
Alcala | 36.461748 | -5.724534 | 2020-06-05 06:00:00 +0000 UTC |  | 17.8 | 20 | 1015 | 94 | 2.6 | 210 |  | 75
Alcala | 36.461748 | -5.724534 | 2020-06-05 07:00:00 +0000 UTC |  | 18.1 | 21.67 | 934 | 88 | 4.1 | 220 |  | 75
Alcala | 36.461748 | -5.724534 | 2020-06-05 08:00:00 +0000 UTC |  | 20 | 22 | 935 | 78 | 3.6 | 210 |  | 40
Alcala | 36.461748 | -5.724534 | 2020-06-05 09:00:00 +0000 UTC |  | 20.84 | 22.16 | 915 | 68 | 4.1 | 250 |  | 20
Alcala | 36.461748 | -5.724534 | 2020-06-05 10:00:00 +0000 UTC |  | 21.67 | 24.07 | 915 | 69 | 5.1 | 260 |  | 20
Alcala | 36.461748 | -5.724534 | 2020-06-05 11:00:00 +0000 UTC |  | 21.67 | 26 | 935 | 57 | 5.1 | 220 |  | 75
Alcala | 36.461748 | -5.724534 | 2020-06-05 12:00:00 +0000 UTC |  | 21.67 | 25 | 933 | 64 | 6.2 | 260 |  | 20
Alcala | 36.461748 | -5.724534 | 2020-06-05 13:00:00 +0000 UTC |  | 21.67 | 26 | 934 | 57 | 5.7 | 230 |  | 40
Alcala | 36.461748 | -5.724534 | 2020-06-05 14:00:00 +0000 UTC |  | 21.67 | 26 | 934 | 57 | 5.7 | 230 |  | 40
Alcala | 36.461748 | -5.724534 | 2020-06-05 15:00:00 +0000 UTC |  | 21.67 | 26 | 934 | 57 | 5.7 | 230 |  | 40
Spreadsheet: 139990d1328575764-if-function-nested-sample
Sheet: Sheet1

 |  |  |  |  |  |  |  |  | FEE | USER
 | Price per calculator |  |  |  |  |  |  |  | 25000 | 1-10
 | No of users | 10 |  |  |  |  |  | additional | 1000 | 11-20
 | Total Price |  |  |  |  |  |  | additional | 750 | 21-40
 |  |  |  |  |  |  |  | additional | 500 | 40+
 | [NAME]:
 | [NAME]))))))
 |  |  |  |  |  |  |  |  | Base Users | Base Fee | Additional Fee
 |  |  |  |  |  |  |  |  | 0 | 25000 | 0
 |  |  |  |  |  |  |  |  | 10 |  | 1000
 |  |  |  |  |  |  |  |  | 20 |  | 750
 |  |  |  |  |  |  |  |  | 40 |  | 500
Spreadsheet: 258792d1376854846-adult-baseball-league-schedule-2013spring-schedule-5-
Sheet: SENATORS

week # | Visitors | Home | Field
5 | BAYSOX | SENATORS | DP
1 | REDWINGS | SENATORS | DP
9 | ROCKCATS | SENATORS | DP
3 | SEADOGS | SENATORS | DP
7 | SENATORS | BYE
6 | SENATORS | KEYS | CCC
4 | SENATORS | MUDCATS | CCC
8 | SENATORS | REDWINGS | LBU
2 | SENATORS | ROCKCATS | GHS
10 | SENATORS | SEADOGS | GHS
Spreadsheet: 772074d1646997211-assistance-with-nested-if-statements-sample
Sheet: Sheet1

Turn | variabe 1 | varaiable 2 | Price | Modifier | varaiable 3 | varaiable 4 | varaiable 5 | Variables 6-8 |  |  | Code Should Read | EXPLANATION
1 | 0 | 0 | 50 |  | 0 | 0 | 0 |  |  |  | 50 | Cell D2  is an integer and there is no modifier so the code reads Just the text in [NAME] in this format ("$#,##0")
2 |  |  | $50 X2 |  |  |  |  |  |  |  | $50 X 2 | Cell D3 contains an "x" and there are no modifiers in cell E3, so the code should be the just text in D3.
3 |  |  | 75 | A & B |  |  |  |  |  |  | $75 - A & B | Cell in D4 in an integer and there are modifiers in cell E4.  so the code will read with the text in D4 in this format ("$#,##0") & " - " & the text in cell E4
4 |  |  | End |  |  |  |  |  |  |  | End | Cell D5 contains end, the code will read "End"
5 |  |  | 45.5 | A |  |  |  |  |  |  | $45.50 - A
6 |  |  | 75 |  |  |  |  |  |  |  | 75
 |  |  | $45 X2 | B |  |  |  |  |  |  | $45 X2 - B
 |  |  | $50 X3 |  |  |  |  |  |  |  | $50 X3
Spreadsheet: 130024d1322020528-statistics-spreadsheet-statistics-115-project-spreadsheet
Sheet: Data

Beer
[NAME]
Raw Data
Beer | Price ($) | Alcohol (%) | Calories | Availability | Taste (1-10)
Budweiser | 5.99 | 5 | 145 | 10 | 5
Smithwicks | 8.39 | 4.5 | 150 | 6 | 7
[NAME] | 7.49 | 4.75 | 160 | 10 | 6
[NAME] | 6.49 | 5 | 153 | 10 | 8
Miller High Life | 5.99 | 4.7 | 143 | 8 | 9
Keystone Ice | 5.99 | 5.9 | 142 | 9 | 4
Coors light | 6.29 | 4.15 | 104 | 10 | 6
Busch | 6.99 | 4.6 | 133 | 8 | 7
Weight(%) | 0.3 | 0.25 | 0.1 | 0.15 | 0.2
Up/Down | -1 | 1 | -1 | 1 | 1
 | -0.3 | 0.25 | -0.1 | 0.15 | 0.2
Mean | 6.702500000000001 | 4.825 | 141.25 | 8.875 | 6.5
[NAME] | 0.8692155741159412 | 0.514087263298473 | 17.06918694188867 | 1.457737973711325 | 1.603567451474546
 | Raw Z-Scores |  |  |  |  |  | Total
 | Price ($) | Alcohol (%) | Calories | Availability | Taste (1-10) |  | Score
Budweiser | -0.8197045948292717 | 0.3404091338057463 | 0.2196941197472801 | 0.7717436331412897 | -0.9354143466934853 |  | 0.2377229255579864
Smithwicks | 1.941405619332485 | -0.6321883913535299 | 0.5126196127436535 | -1.972233729138852 | 0.3118047822311618 |  | -1.025204847837089
[NAME] | 0.9059892890218257 | -0.1458896287738918 | 1.098470598736401 | 0.7717436331412897 | -0.3118047822311618 |  | -0.3647156652486996
[NAME] | -0.2444733002122392 | 0.3404091338057463 | 0.6883749085414776 | 0.7717436331412897 | 0.9354143466934853 |  | 0.3924511969708511
Miller High Life | -0.8197045948292717 | -0.243149381289819 | 0.1025239225487307 | -0.6002450479987809 | 1.559023911155809 |  | 0.3966396659027984
Keystone Ice | -0.8197045948292717 | 2.091084679092444 | 0.04393882394945602 | 0.08574929257125441 | -1.559023911155809 |  | 0.4653462774814732
Coors light | -0.4745658180590524 | -1.313006658965022 | -2.182294922822982 | 0.7717436331412897 | -0.3118047822311618 |  | 0.08574816148371944
Busch | 0.3307579944047933 | -0.4376688863216753 | -0.4833270634440162 | -0.6002450479987809 | 0.3118047822311618 |  | -0.1879877143110399
Spreadsheet: 266257d1379552872-sum-based-on-1-column-header-name-and-2-value-of-a-different-column-sumbasedoncolumnheaderandrowvalue
Sheet: Sheet1

Employee | Product A | Product B | Product C |  | Employee | Product A | Product B | Product C | Total
Walter | 65 | 85 | 95 |  | Walter
[NAME] | 75 | 54 | 65 |  | [NAME]
Skyler | 65 | 98 | 65 |  | Skyler
Hank | 65 | 65 | 68 |  | Hank
Gustavo | 65 | 85 | 95 |  | Gustavo
Walter | 75 | 54 | 65
[NAME] | 65 | 98 | 65
Skyler | 65 | 65 | 68
Hank | 65 | 85 | 95
Gustavo | 75 | 54 | 65 |  | Employee | Sum of Product A | Sum of Product B | Sum of Product C
Walter | 65 | 98 | 65 |  | Gustavo | 140 | 139 | 160
[NAME] | 65 | 65 | 68 |  | Hank | 130 | 150 | 163
 |  |  |  |  | [NAME] | 205 | 217 | 198
 |  |  |  |  | Skyler | 130 | 163 | 133
 |  |  |  |  | Walter | 205 | 237 | 225
 |  |  |  |  | Grand Total | 810 | 906 | 879
Spreadsheet: 6ac281d4-3373-4f2d-acd8-066defb0dc98
Sheet: Sheet1

Permit No.: | Unnamed: 1 | WQ0035735 | Unnamed: 3 | Facility Name: | Unnamed: 5 | [NAME] | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | County: | Bladen | Unnamed: 13 | Month: | Unnamed: 15 | Unnamed: 16 | Year: | Unnamed: 18
PPI: |  | 001 | Flow Measuring Point: |  |  |  |  |  |  | Parameter Monitoring Point:
Parameter Code |  |  | 50050 | 00310 | 31616 | 00630 | 00610 | 00625 | 00600 | 00400 | 00665 | 00530 | 00076
Day | ORC Arrival Time | ORC Time On Site | Flow | BOD5 | Fecal Coliform | Nitrite + Nitrate | Ammonia | Total [NAME] | Total Nitrogen | pH | Total Phosphorus | Total Suspended Solids | Turbidity
 | 24-hr | hrs | GPD | mg/L | #/100 mL | mg/L | mg/L | mg/L | mg/L | su | mg/L | mg/L | NTU
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
Average:
Daily Maximum:
Daily Minimum:
Sampling Type: |  |  | Recorder | Composite | Grab | Composite | Composite | Composite | Calculated | Grab | Composite | Composite | Recorder
Monthly Limit: |  |  |  | 10 | 14 |  | 4 |  |  |  |  | 5
Daily Limit: |  |  |  | 15 | 25 |  | 6 |  |  | 6-9 |  | 10 | 10
Sample Frequency: |  |  | [NAME] | 2 x Month | 2 x Month | Quarterly | Monthly | Quarterly | Quarterly | 2 x Month | Quarterly | 2 x Month | [NAME]
 |  | Average
 |  | Geomean
 |  | MAX/MIN
Spreadsheet: 672917d1587066770-comparing-2-columns-to-see-if-it-is-duplicated-duplicate
Sheet: Sheet1

 |  |  |  |  | Match formula is what I am trying to get at.
 |  |  |  |  | It has to have the same name in column 1 and column 2
 |  | Company 1 | Company 2 |  | Match
 |  | Apple | Facebook
 |  | Microsoft | Yahoo
 |  | Apple | Facebook
 |  | Microsoft | Facebook
 |  | Apple | Microsoft
Spreadsheet: 807807d1670066831-calling-data-from-main-sheet-g6-ver-256
Sheet: 5 BEST AND WEK STUDENTS

E. FIVE BEST STUDENTS
NO | NAME | SEX M=1 &F=2 | SCHOOL | WARD | SUBJECTS |  |  |  |  |  |  |  |  |  |  |  |  |  | TOTAL | AVERAGE | GRADE
 |  |  |  |  | KISW |  | ENGL |  | HIS |  | SAY |  | M/JAM |  | URA |  | S/KAZI
 |  |  |  |  | A | D | A | D | A | D | A | D | A | D | A | D | A | D
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | On the basis of total marks
F. FIVE WEAK STUDENTS
NO | NAME | SEX M=1 &F=2 | SCHOOL | WARD | SUBJECTS |  |  |  |  |  |  |  |  |  |  |  |  |  | TOTAL | AVERAGE | GRADE
 |  |  |  |  | KISW |  | ENGL |  | HIS |  | SAY |  | M/JAM |  | URA |  | S/KAZI
 |  |  |  |  | A | D | A | D | A | D | A | D | A | D | A | D | A | D
Spreadsheet: 59588d1260194780-identifying-last-record-de-duping-709882_md1972
Sheet: DESIRED

enq_no | Log | officer_code_2 | Status | Status | [NAME] | Service | subject_name | area_code | Street
19 | 3 | JSHA | 0052 | Work Complete | 2006-09-14 00:00:00 | Carriageway/Footway | Blocked Drain | 8 | Main Street
33 | 5 | JSHA | 0020 | Inspection Required | 2006-09-14 00:00:00 | Carriageway/Footway | Flooding | 7 | Conway Road
121 | 3 | JSHA | 0050 | Resolved no action required | 2006-09-28 00:00:00 | Trees/Verges | Grass | 8 | [NAME]
154 | 4 | JSHA | 0050 | Resolved no action required | 2006-10-05 00:00:00 | Carriageway/Footway | Blocked Drain | 7 | Main Street
170 | 3 | JSHA | 0051 | Resolved | 2006-10-10 00:00:00 | Carriageway/Footway | Blocked Drain | 8 | Cropwell Road
Spreadsheet: 119899d1314833416-max-value-within-range-if-specific-text-in-specified-cell-problem-matchit-real-data-example
Sheet: Van 2

Van | Seq. | [NAME], Sunday 28 August 11,Newspaper | Post Code | Observer | Independent | Mail | Telegraph | Times | FT
4 | 2 | Full customer Address |  | 0 | 0 | 0 | 20 | 10 | 4
4 | 6 | Full customer Address |  | 0 | 0 | 10 | 0 | 0 | 3
4 | 9 | Full customer Address |  | 0 | 20 | 0 | 0 | 0 | 2
4 | 14 | Full customer Address |  | 0 | 0 | 10 | 0 | 0 | 5
4 | 17 | Full customer Address |  | 0 | 30 | 0 | 0 | 0 | 7
4 | 19 | Full customer Address |  | 0 | 0 | 10 | 0 | 0 | 6
4 | 22 | Full customer Address |  | 50 | 0 | 0 | 0 | 0 | 5
4 | 39 | Full customer Address |  | 0 | 30 | 21 | 0 | 5 | 4
4 | 42 | Full customer Address |  | 0 | 0 | 10 | 0 | 0 | 2
4 | 43 | Full customer Address |  | 0 | 0 | 0 | 5 | 0 | 0
4 | 44 | Full customer Address |  | 5 | 10 | 0 | 5 | 15 | 0
4 | 61 | Full customer Address |  | 0 | 0 | 10 | 0 | 0 | 0
4 | 62 | Full customer Address |  | 0 | 30 | 0 | 0 | 0 | 9
4 | 63 | Full customer Address |  | 0 | 0 | 10 | 0 | 0 | 8
4 | 64 | Full customer Address |  | 0 | 0 | 10 | 0 | 0 | 7
4 | 65 | Full customer Address |  | 0 | 0 | 10 | 0 | 0 | 6
4 | 73 | Full customer Address |  | 0 | 30 | 0 | 0 | 0 | 5
 |  |  |  | 55 | 150 | 101 | 30 | 30 | 73
Spreadsheet: 867652d1714468268-automatically-copy-and-paste-rows-into-another-sheet-ef1641_multi_sheets-to-one
Sheet: Bounced

[EMAIL] | 2024-04-21 00:00:00 | bounced
[EMAIL] | 2024-04-21 00:00:00 | bounced
[EMAIL] | 2024-04-23 00:00:00 | bounced
Spreadsheet: 761841d1641249706-if-formula-with-multiple-conditions-resource-allocatoin-2022-example
Sheet: Sheet3

Use | TRUE
Sum of Work | Column Labels
 |  |  | 2022-01-01 00:00:00 | 2022-02-01 00:00:00 |  | 2022-03-01 00:00:00 |  |  | 2022-04-01 00:00:00 |  | 2022-05-01 00:00:00 | 2022-06-01 00:00:00 | 2022-07-01 00:00:00 | 2022-08-01 00:00:00 | 2022-09-01 00:00:00
Row Labels | (blank) | [NAME] | [NAME] | [NAME] | [NAME] | [NAME] | [NAME] | [NAME] | [NAME] | [NAME] | [NAME] | [NAME] | [NAME] | [NAME] | [NAME]
Client |  |  | 134 | 230 | 64 | 185 | 36 | 72 | 120 | 40 | 110 | 150 | 48 | 64 | 40
Spreadsheet: 61921d1262819851-sumif-with-multiple-criteria-example
Sheet: Summary

 | By Analyst [NAME] |  | Rating |  |  |  | Price Target
 |  | Upgraded | Downgraded | No Change |  | Increased | Decreased | Unchanged
 | ii1-2x | 0 | -0.05944105162855143 | 0 |  | 0 | 0 | 0
 | ii1-3x | -0.06085295948930182 | 0 | 0 |  | -0.06085295948930182 | 0 | 0
 | ii1-4x | 0 | 0 | 0 |  | 0 | 0 | 0
 | ii1-5x | 0 | 0 | 0 |  | 0 | 0 | 0
 | ii1-6x | 0 | 0 | 0 |  | 0 | 0 | 0
 | ii1-7x | 0 | 0 | 0 |  | 0 | 0 | 0
 | ii1-8x | 0.05 | 0 | 0 |  | 0 | 0 | 0.05
 | ii1-9x | 0 | 0 | 0 |  | 0 | 0 | 0
 | ii1-10x | 0 | 0 | 0 |  | 0 | 0 | 0
Spreadsheet: 355808d1414787513-move-a-row-to-a-new-sheet-based-on-a-cells-value-job-requisition-workbook
Sheet: EMBASSY

Embassy Healthcare Community |  |  |  | Administrator: [NAME] DON: |  | EEO: Phone: [PHONE]
Requisition # | Job Title | Department | [NAME] | Position Open | Offer Accepted | Shift | Reason for Opening | Days Open | Satus
EMBSY14002 | ADON | Nursing | 40k-55k | 2014-10-30 00:00:00 |  | FT DAYS | [NAME].
EMBSY14001 | DON | Nursing | 60k-65k | 2014-10-30 00:00:00 |  | FT DAYS | [NAME].
Spreadsheet: 86847d1286812084-data-value-example
Sheet: Copy of Research Space Famis Wo

Building | Room | Room Name | Square Feet
0421B | 101 | ROOM 101 | 449.25
0421B | 102 | ROOM 102 | 456.86
0421B | 103 | ROOM 103 | 445.01
0421B | 106 | ROOM 106 | 468.78
0421B | 107 | ROOM 107 | 454.06
0421B | 202 | ROOM 202 | 459.62
0421B | 203 | ROOM 203 | 458.11
0421B | 206 | ROOM 206 | 468.87 |  | =D9+0
0421B | 216 | ROOM 216 | 449.1
0421B | 217 | ROOM 217 | 457.61
0421B | 219 | ROOM 219 | 451.71
0421B | 220 | ROOM 220 | 447.75
 |  |  | =SUM(C2:C13)
Spreadsheet: 140331d1328707883-reverse-vlookup-how-duplicate-issue-copy-of-data-1
Sheet: Sheet2

 | Position | Company Name | Employee Name |  |  | Last Activity | Last Activity Date | Activity Duration | Case Duration
 | 1 | Company B | [NAME] | 26914 | 40682 | Appointment | 2011-05-19 00:00:00 | 184 | 184
 | 2 | Company B | Butler | 32062 | 40714 | File Note Followup | 2011-06-24 00:00:00 | 159 | 163
 | 3 | Company B | Jones | 29194 | 40801 | File Note | 2011-09-20 00:00:00 | 98 | 101
 | 4 | Company B | Robins | 29671 | 40828 | Appointment | 2011-10-12 00:00:00 | 82 | 82
 | 5 | Company B | Pitt | 30160 | 40829 | File Note | 2011-10-14 00:00:00 | 80 | 81
 | 6 | Company A | Smith | 34900 | 40816 | File Note Followup | 2011-10-20 00:00:00 | 76 | 90
 | 7 | Company B | Flintstone | 21850 | 40836 | Appointment | 2011-10-20 00:00:00 | 76 | 76
 | 8 | Company B | Inns | 30754 | 40837 | Appointment | 2011-10-21 00:00:00 | 75 | 75
 | 9 | Company B | Boo | 33219 | 40840 | Case Closed | 2011-10-26 14:42:10 | 72 | 74
 | 10 | Company B | [NAME] | 25949 | 40847 | File Note Followup | 2011-11-03 00:00:00 | 66 | 69
Spreadsheet: 06235328-a03f-4bbe-a7e8-85cd7d68a0e4
Sheet: Sheet1

PROG ID | ATHLETE ID | ATHLETE FIRST | ATHLETE LAST | NATIONALITY | START NUMBER | SWIM | T1 | BIKE | T2 | RUN | POSITION | TOTAL TIME
8947 | 49246 | [NAME] | Solano | CRC | 25 | 00:16:12 | 00:01:38 | 00:44:24 | 00:00:34 | 00:21:39 | 1 | 01:24:26
8947 | 47864 | Selena | Vergara | GUA | 22 | 00:13:49 | 00:01:21 | 00:47:35 | [NAME] | 00:23:15 | 2 | 01:26:37
8947 | 57908 | [NAME] | [NAME] | GUA | 24 | 00:13:54 | 00:01:16 | 00:49:09 | 00:00:33 | 00:25:27 | 3 | 01:30:18
8947 | 68805 | Ana Catalina | Barahona | CRC | 21 | 00:13:50 | 00:01:30 | 00:50:25 | 00:00:33 | 00:26:00 | 4 | 01:32:17
8947 | 69063 | Nicolle | Rodriguez | GUA | 27 | 00:13:50 | 00:01:22 | 00:53:11 | [NAME] | 00:28:24 | 5 | 01:37:23
Spreadsheet: 540395d1506677824-re-arrange-the-data-analysis-gk2
Sheet: Analysis

I would like to see my result like this based on criteria A5 |  |  |  |  |  |  |  | Data base model
xa1 |  |  |  |  |  |  |  | XA1 | E | SADMN | SAJUB | AEJEA | SAJED
 | E | I | Port |  |  |  |  | XA1 | I | SAJED | AEKLF | AEJEA | SADMN
 |  |  |  |  |  |  |  | XA2 | E | PKKHI | INMUN | OMSOH | AEJEA | BHBAH | KWSAA | IQUQR
 |  |  |  |  |  |  |  | XA2 | I | PKKHI | IQUQR | BHBAH | AEAUH | [NAME] | AEJEA | OMSOH
 |  |  |  |  |  |  |  | XA3 | E | AEKLF | AEJEA | PKKHI | INMUN | INNSA | SAJED
 |  |  |  |  |  |  |  | XA3 | I | SAJED | AEKLF
 |  |  |  |  |  |  |  | XA4 | E | INNSA | INHZR | INMUN | SARUH
 |  |  |  |  |  |  |  | XA4 | I | SARUH | DJJIB | PKBQM | INNSA
 |  |  |  |  |  |  |  | XA5 | E | INNSA | INMUN | SAJED
 |  |  |  |  |  |  |  | XA5 | I | SAJED | AEKLF | AEJEA | PKBQM | INNSA
Spreadsheet: 104047d1301672988-adding-a-header-forces-new-page-pm-list-a-g
Sheet: ABBOTSFORD CONDOS

 |  |  |  | OVERHEAD DOOR COMPANY OF GREATER MILWAUKEE
 |  |  |  | A Division of J.F. Cook Co., Inc.
 |  |  |  | 7830 S. 10th St. | P.O. Box 88 | [NAME], WI 53154             www.jfcookco.com | Phone: [PHONE] | Fax: [PHONE]
 |  | Customer: | ABBOTSFORD CONDOS |  |  | Contact:
 |  | Address: | 1920 N Farwell, Milwaukee
 |  |  |  | DOOR NUMBERS:
 |  | LOCATION:
 |  | DOORS
 | 1 | Inspect Section Condition
 | 2 | Inspect & Adjust Door Alignment
 | 3 | Lubricate & Inspect Rollers & Bearings
 | 4 | Adjust & Lubricate Springs
 | 5 | Inspect Spring for Secure Mounting
 | 6 | Inspect & Tighten Hingest & Hardware
 | 7 | Inspect Cables for Wear or Damage
 | 8 | Inspect Drums for Wear or Damage
 | 9 | Inspect Locks for Proper Operation
 | 10 | [NAME] or Damage
 | 11 | Inspect Track Fasteners & Hangers
 | 12 | Lubricate & Inspect Chain Hoise
 |  | OPERATOR
 | 13 | Inspect & Adjust Limit Switches
 | 14 | Inspect & Adjust Belts
 | 15 | Inspect & Lubricate Roller Chain
 | 16 | Inspect & Adjust Brake
 | 17 | Inspect & Adjust clutch
 | 18 | Inspect Operator Mounting
 | 19 | Inspect & Test Disconnect
 | 20 | Inspect & Tighten All Sprockets
 | 21 | Lubricate All Bearings
 | Door | Comment or Description of Needed Repair |  |  |  |  |  | Approval | Completed
Spreadsheet: 2b5d5806-2048-4eeb-9573-7241d3059b84
Sheet: Sheet1

Table 3--U.S. fiber supply | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7
 | Aug. |  | Sep. |  | Oct. |  | Oct.
Item | 2013 |  | 2013 |  | 2013 |  | 2012
 | 1,000 480-lb. [NAME]
Cotton:
Stocks, beginning | 3900 |  | 2750 | 2750 | 2377 |  | 2800
Ginnings | 139 |  | 465 |  | 2520 | 2520 | 4909
Imports since August 1 | 0.1 |  | 0.8 |  | 1.5 |  | 0.8
 | Million pounds
Manmade:
Production | 560.7 |  | 554.5 |  | 566.3 |  | 536.2
Noncellulosic | 560.7 |  | 554.5 |  | 566.3 |  | 536.2
Cellulosic
Total since January 1 | 4289.5 | 3140.2 | 4844 |  | 5410.3 |  | 5150.9
 | July |  | Aug. |  | Sep. |  | Sep.
 | 2013 |  | 2013 |  | 2013 |  | 2012
 | Million pounds
Raw fiber imports: | 156.9 |  | 166.8 |  | 152.2 |  | 145.8
Noncellulosic | 143.7 |  | 153.6 |  | 139.7 |  | 133.2
Cellulosic | 13.2 |  | 13.2 |  | 12.5 |  | 12.6
Total since January 1 | 1082.5 |  | 1249.4 |  | 1401.6 |  | 1401
 | 1,000 pounds
Wool and mohair:
Raw wool imports, clean | 796.5 |  | 889.8 |  | 437.1 |  | 779.2
48s-and-finer | 194.7 |  | 351.3 |  | 162 |  | 332.4
Not-finer-than-46s | 601.8 |  | 538.5 |  | 275.1 |  | 446.7
Total since January 1 | 4471.1 |  | 5360.9 |  | 5798 |  | 7474.9
Wool top imports | 357.1 |  | 279.9 |  | 290.2 |  | 382.8
Total since January 1 | 3630.8 |  | 3910.7 |  | 4200.8 |  | 3210.8
Mohair imports, clean | 0 | 0 | 0 | 0 | 0 |  | 0
Total since January 1 | 0 | 0 | 0 | 0 | 0 |  | 7.2
NA = Not available.
Sources: USDA, National Agricultural Statistics Service;
U.S. Dept. of Commerce, U.S. Census Bureau; and [NAME].
Last update: 12/12/13.
Spreadsheet: 462502d1464080217-selecting-data-according-to-text-and-placing-in-graph-peter-renton-bsb-
Sheet: Doncaster New Yard

Doncasters  Capital Expense 2016-2017
Improment/Equipment | In-house/ Subcontract | Time Scale | Expense | possible Savings
Showroom window tint | subcontract | Q1 | 8595 | 500
Led light project | inhouse | Q2 | 13582 | 7752 |  | Doncaster
Security upgrade | subcontract | Q3 | 19762 |  |  | expense | Potential Saving
internal works for up grade and lights | inhouse |  | 10000
electric fence to new compound | subcontract | Q4 | 22000
Alarm system in new building | subcontract | Q1 | 2900
installing mesh to existing electric fence gate areas | inhouse |  | 1000
switching electric supply to original building ?? |  |  | 2500
ber works ([NAME])
Totals
Spreadsheet: 13bbb0d2-7e55-4362-a7ce-02378cf4a560
Sheet: Sheet1

Battle ID | Date & Time | Side | Victory | Score | Opp. Score | Opp. ID | Opp. Name | Scenario ID | Front | Start Date | End Date | Name EN | Name FR
42720596 | 2014-08-14 15:13:06 | AXIS | 1 | 6 | 3 | 537589 | garguel | 12493 | western | 1944-12-30 | 1944-12-30 | [NAME] | [NAME]
42720785 | 2014-08-14 15:29:55 | ALLIES | 1 | 6 | 1 | 537589 | garguel | 12493 | western | 1944-12-30 | 1944-12-30 | [NAME] | [NAME]
42725712 | 2014-08-14 22:34:11 | AXIS | 1 | 5 | 2 | 382337 | Ace of Diamonds | 6157 | western | 1944-11-19 | 1944-11-23 | Saverne Gap | [NAME]
42734550 | 2014-08-15 15:54:08 | AXIS | 1 | 6 | 4 | 458667 | black sheep | 8043 | eastern | 1939-09-08 | 1939-09-26 | Battle of Warsaw | Bataille de Varsovie
42734768 | 2014-08-15 16:21:12 | ALLIES | 0 | 3 | 6 | 458667 | black sheep | 8043 | eastern | 1939-09-08 | 1939-09-26 | Battle of Warsaw | Bataille de Varsovie
42737331 | 2014-08-15 19:58:11 | ALLIES | 0 | 5 | 6 | 1611589 | swissatwar | 12505 | western | 1945-02-17 | 1945-02-20 | Moyland Wood | [NAME]
42737462 | 2014-08-15 20:17:14 | AXIS | 0 | 5 | 6 | 1611589 | swissatwar | 12505 | western | 1945-02-17 | 1945-02-20 | Moyland Wood | [NAME]
42764845 | 2014-08-17 19:49:28 | ALLIES | 1 | 10 | 3 | 1620963 | AllAxisAllTheTime | 7662 | eastern | 1942-10-22 | 1942-10-22 | Red Barricades Factory | Les Barricades Rouges
42769084 | 2014-08-18 00:32:18 | ALLIES | 1 | 7 | 6 | 384175 | ssegrubnad | 7668 | pacific | 1945-02-26 | 1945-03-06 | The Meat Grinder | Le Hachoir à viande
42769296 | 2014-08-18 00:52:51 | AXIS | 1 | 7 | 6 | 384175 | ssegrubnad | 7668 | pacific | 1945-02-26 | 1945-03-06 | The Meat Grinder | Le Hachoir à viande
42790633 | 2014-08-19 15:08:53 | ALLIES | 0 | 1 | 5 | 681429 | Caverne | 6153 | western | 1944-08-24 | 1944-08-24 | Liberation of Paris | Libération de Paris
42790723 | 2014-08-19 15:21:44 | AXIS | 0 | 4 | 5 | 681429 | Caverne | 6153 | western | 1944-08-24 | 1944-08-24 | Liberation of Paris | Libération de Paris
42890326 | 2014-08-26 16:24:53 | AXIS | 0 | 1 | 4 | 1485314 | [NAME] 62 | 7269 | mediterranean | 1940-11-06 | 1940-11-06 | Gallabat & Metemma | Gallabat & Metemma
42890510 | 2014-08-26 16:31:47 | ALLIES | 1 | 4 | 0 | 1485314 | [NAME] 62 | 7269 | mediterranean | 1940-11-06 | 1940-11-06 | Gallabat & Metemma | Gallabat & Metemma
42890673 | 2014-08-26 16:54:02 | AXIS | 0 | 3 | 6 | 1625425 | player1625425 | 12505 | western | 1945-02-17 | 1945-02-20 | Moyland Wood | [NAME]
42890869 | 2014-08-26 17:06:31 | ALLIES | 0 | 2 | 6 | 1625425 | player1625425 | 12505 | western | 1945-02-17 | 1945-02-20 | Moyland Wood | [NAME]
42908976 | 2014-08-27 22:37:59 | AXIS | 0 | 1 | 5 | 1526787 | browndog | 6153 | western | 1944-08-24 | 1944-08-24 | Liberation of Paris | Libération de Paris
42909196 | 2014-08-27 22:48:28 | ALLIES | 0 | 4 | 5 | 1526787 | browndog | 6153 | western | 1944-08-24 | 1944-08-24 | Liberation of Paris | Libération de Paris
Spreadsheet: chris_germany__1813__strg_proxy
Sheet: Sheet3

 |  | NYMX
 |  | Price
 |  |  | LDC | COH on TCO |  | AGL on Sonat-CSS |  | AGL on Transco-ESS |  | AGL on Transco-WSS
Storage Balances as of 11/1/2000   ==> |  |  | Quantity | 6050607 | dth | 832737 | dth | 17613 | dth | 373372 | dth
 |  |  |  | Inject % | Withdrawal % | Inject % | Withdrawal % | Inject % | Withdrawal % | Inject % | Withdrawal %
 |  |  | 2000-04-01 00:00:00 | 0.13 | 0 | 0.15 | 0 | 0.15 | 0 | 0.14 | 0
 |  |  | 2000-05-01 00:00:00 | 0.18 | 0 | 0.15 | 0 | 0.15 | 0 | 0.15 | 0
 |  |  | 2000-06-01 00:00:00 | 0.18 | 0 | 0.15 | 0 | 0.15 | 0 | 0.15 | 0
 |  |  | 2000-07-01 00:00:00 | 0.18 | 0 | 0.15 | 0 | 0.14 | 0 | 0.14 | 0
 |  |  | 2000-08-01 00:00:00 | 0.18 | 0 | 0.15 | 0 | 0.14 | 0 | 0.14 | 0
 |  |  | 2000-09-01 00:00:00 | 0.13 | 0 | 0.15 | 0 | 0.14 | 0 | 0.14 | 0
 | Index |  | 2000-10-01 00:00:00 | 0.02 | 0 | 0.1 | 0 | 0.13 | 0 | 0.14 | 0
 | 4.74 |  | 2000-11-01 00:00:00 | 0 | 0.15 | 0 | 0.15 | 0 | 0.15 | 0 | 0.15
 |  | 5.16 | 2000-12-01 00:00:00 | 0 | 0.2 | 0 | 0.2 | 0 | 0.2 | 0 | 0.24
 |  | 5.22 | 2001-01-01 00:00:00 | 0 | 0.25 | 0 | 0.25 | 0 | 0.25 | 0 | 0.24
 |  | 5.05 | 2001-02-01 00:00:00 | 0 | 0.25 | 0 | 0.25 | 0 | 0.25 | 0 | 0.18
 |  | 4.85 | 2001-03-01 00:00:00 | 0 | 0.15 | 0 | 0.15 | 0 | 0.15 | 0 | 0.19
 |  |  | Total