tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: mary_fischer__25638__31U
Sheet: E21.XLS 

ENRON CORP AND CONSOLIDATED SUBSIDIARIES
COMPANY # 031U
COMPANY NAME   Limbach Mgmt Company
LEASE EXPENSE & FUTURE LEASE COMMITMENTS
FOR THE 3 MONTHS ENDED 3-31-2001
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | E-21
+++++INCLUDE all rentals (building, equipment, etc.) regardless of whether it is charged to "rent expense".
+++++EXCLUDE rent allocations from Corporate or other subsidiaries.
Lease Description |  |  |  | Year to Date |  |  |  |  |  | FUTURE LEASE COMMITMENT ( net of sublease , if applicable) |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Residual
Property Leased, Term, Lessor |  | *(C) |  | Gross |  | Less: |  | Net Rental |  | 1 Year Ended |  |  |  |  |  |  |  |  |  | 5 Years Ended |  |  |  |  |  | Total Remaining |  | Total |  | Value
*Indicate Capital (C) or Operating (O) Lease |  | or (O) |  | Rentals |  | Subrentals |  | Expense |  | 12-31-2002 |  | 12-31-2003 |  | 12-31-2004 |  | 12-31-2005 |  | 12-31-2006 |  | 12-31-2011 |  | 12-31-2016 |  | 12-31-2021 |  | after 12-31-2021 |  | Commitment |  | Guarantee
Individually list leases w/ an annual rent expense over $1 million.
 |  |  |  | 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 |  | 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 |  | 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 |  | 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 |  | 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
Other Leases under $1million per year |  |  |  | 0 |  | 0 |  |  |  | 0 |  | 0 |  | 0 |  | 0 |  | 0 |  | 0 |  | 0 |  | 0 |  | 0
Total
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | E-21
Spreadsheet: 774233d1648320100-array-lookup-formula-issue-fcs-incentive-plan-expedition-class-copy
Sheet: Exact Commission

VS PAX  ONBOARD | TOT. BOOKING  AMOUNT (MIN) | 0 | 8 | 11 | 17
1 | 449952 | 0.003 | 0.0039 | 0.0065 | 0.0078
 | 329952 | 0.0026 | 0.0033 | 0.0056 | 0.0067
 | 259952 | 0.0024 | 0.003 | 0.0045 | 0.0061
 | 0 | 0.0022 | 0.0029 | 0.0048 | 0.0058 |  | # VS PAX ONBOARD |  |  |  | 140
2 | 449953 | 0.003 | 0.0039 | 0.0065 | 0.0078 | BOOKING AMOUNT IN USD $ |  |  |  |  | 400000
 | 329953 | 0.0026 | 0.0033 | 0.0056 | 0.0067 |  | # DAYS |  |  |  | 11
 | 259953 | 0.0024 | 0.003 | 0.0045 | 0.0061 |  | TOTAL COMMISSION: |  |  |  | =INDEX(C2:F593,MATCH(L5,A2:A593,0),MATCH(L6&L7,B2:B593&C1:F1,0))
 | 0 | 0.0022 | 0.0029 | 0.0048 | 0.0058
3 | 449954 | 0.003 | 0.0039 | 0.0065 | 0.0078 |  |  | =INDEX(C2:F593,MATCH(L5,A2:A593,0),MATCH(L6&L7,B2:B593&C1:F1,0))
 | 329954 | 0.0026 | 0.0033 | 0.0056 | 0.0067
 | 259954 | 0.0024 | 0.003 | 0.0045 | 0.0061 |  | =INDEX(C2:F593,MATCH(1,INDEX((L5=A2:A593)*(L7=C1:F1)*(L6=B2:B593),0,1),0))
 | 0 | 0.0022 | 0.0029 | 0.0048 | 0.0058
4 | 449955 | 0.003 | 0.0039 | 0.0065 | 0.0078 |  | =IFERROR(INDEX(C2:F593,MATCH(1,INDEX(((L5=A2:A593)*(L7=C1:F1)*(L6=B2:B593),0,1),0)),"Not Available")
 | 329955 | 0.0026 | 0.0033 | 0.0056 | 0.0067
 | 259955 | 0.0024 | 0.003 | 0.0045 | 0.0061
 | 0 | 0.0022 | 0.0029 | 0.0048 | 0.0058
5 | 449956 | 0.003 | 0.0039 | 0.0065 | 0.0078
 | 329956 | 0.0026 | 0.0033 | 0.0056 | 0.0067
 | 259956 | 0.0024 | 0.003 | 0.0045 | 0.0061
 | 0 | 0.0022 | 0.0029 | 0.0048 | 0.0058
Spreadsheet: 869942d1716471986-change-date-from-dd-mm-yyyy-to-mm-yyyy-example_excel-2-aligw
Sheet: Data2

PERMNO | Date
10225 | 1970-01-31 00:00:00
10225 | 1970-02-27 00:00:00
10225 | 1970-03-31 00:00:00
10225 | 1970-04-30 00:00:00
10225 | 1970-05-29 00:00:00
10225 | 1970-06-30 00:00:00
10225 | 1970-07-31 00:00:00
10225 | 1970-08-31 00:00:00
10225 | 1970-09-30 00:00:00
10225 | 1970-10-30 00:00:00
10225 | 1970-11-30 00:00:00
10225 | 1970-12-31 00:00:00
Spreadsheet: 842595d1694619650-how-to-match-two-columns-in-two-different-work-sheets-and-fill-specific-rows-test-question
Sheet: Page3

 |  | 1a | 188857 | One | 9 | AOL | [NAME] | 0.0125 | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A
 | 2020-08-05 00:00:00 | 3a | 188857 | One |  | AOL | [NAME] | 02:59:00 | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A
 | 2021-07-04 00:00:00 | 2a | 511197 | Three |  | COL | [NAME] | 04:00:00 | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A
 | 2021-03-05 00:00:00 | 3a | 511197 | Three | 9 | COL | Sierra | 00:01:00 | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A
 | 2019-04-07 00:00:00 | 4a | 355570 | Four | 5 | DOL | Victor | 02:02:00 | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A
Spreadsheet: 850644d1701058339-formula-for-last-year-sales-last-year-growth1
Sheet: Sheet2

TERR | CY SALES | GROWTH | LAST YEAR SALES
A1 | 2196.054828 | 8.070828242209771 | 2032.051446
A2 | 265.917819 | 70.18680945921301
A3 | 219.820624 | 27.73561603394126
A4 | 283.088938 | 20.76087614479366
A5 | 195.741674 | 12.74436183942298
A6 | 159.875244 | -18.32334896655679
A7 | 90.132341 | 31.45496270578246
A8 | 414.709105 | 14.42857587056842
A9 | 131.905892 | 23.1702375133415
A10 | 263.166084 | 17.04173474078088
A11 | 124.208765 | -5.835317045579728
A12 | 428.612342 | 41.39648709916764
A13 | 146.826819 | 48.86506910563958
A14 | 257.512165 | 10.6025397979713
Spreadsheet: 723556d1615780418-find-max-and-min-records-in-an-array-test-temperature
Sheet: Sheet2

 |  | Copy C6:D6 down and across
 |  | 1 |  | 2 |  | 3 |  | 4
 |  | Min | [NAME] | Min | [NAME] | Min | [NAME] | Min | [NAME]
 | 2021-03-01 00:00:00
Spreadsheet: 701572d1603813675-use-count-if-formula-in-a-table-to-fetch-different-values-from-pivot-table-testing-excel-2-
Sheet: Sheet  

 | Count | Type | ROOM | category
 | 1 | CP | ROOM 1 | Plumber |  |  |  | Count of Count |  | category |  |  |  |  |  | DESIRED
 | 2 | CP | ROOM 1 | Plumber |  |  |  | ROOM | Type | [NAME] | Doctor | Plumber | Total Geral |  |  |  | Plumber | Doctor | [NAME]
 | 3 | FO | ROOM 1 | Plumber |  |  |  | ROOM 1 |  |  |  |  |  |  | ROOM 1 | CP
 | 4 | CP | ROOM 1 | [NAME] |  |  |  |  | CP | 2 | 1 | 2 | 5 |  | ROOM 2 | CP
 | 5 | CP | ROOM 1 | Doctor |  |  |  |  | FO |  |  | 1 | 1 |  | ROOM 3 | CP
 | 6 | FO | ROOM 2 | [NAME] |  |  |  | ROOM 2 |  |  |  |  |  |  | ROOM 4 | CP
 | 7 | FO | ROOM 3 | Doctor |  |  |  |  | FO | 1 |  |  | 1 |  | ROOM 1 | FO
 | 8 | FO | ROOM 4 | Plumber |  |  |  | ROOM 3 |  |  |  |  |  |  | ROOM 2 | FO
 | 9 | CP | ROOM 4 | Plumber |  |  |  |  | FO |  | 1 |  | 1 |  | ROOM 3 | FO
 | 10 | CP | ROOM 1 | [NAME] |  |  |  | ROOM 4 |  |  |  |  |  |  | ROOM 4 | FO
 |  |  |  |  |  |  |  |  | CP |  |  | 1 | 1
 |  |  |  |  |  |  |  |  | FO |  |  | 1 | 1
 |  |  |  |  |  |  |  | Total Geral |  | 3 | 2 | 5 | 10
Spreadsheet: 43113fbd-ac04-478f-be12-cdeb6a2ed10b
Sheet: 15c

 | Swap Dealers/MSPs4 |  | Others
Product1 | Cleared2 | Uncleared | Cleared | Uncleared
Index Tranche | 360 | 36393 | 60 | 1732
Index | 289315 | 160796 | 156415 | 97228
Asia | - | 1239 | - | 691
Europe | 138148 | 48900 | 61252 | 22771
North America | 150536 | 110356 | 94492 | 73221
Other | 631 | 301 | 671 | 545
OTHER* | 12534 | 84387 | 8704 | 45113
TOTAL | 302209 | 281576 | 165179 | 144073
*OTHER variable includes exotic credit products, swaptions, and total return swaps.
Spreadsheet: 854365d1704275932-checking-each-field-taking-data-from-latest-field-and-adding-to-one-specific-cell-dummy
Sheet: 1

Total No Intervention | total:
ID
4503479157
4277984929
9110643395
6765186285
1551326906
5189779249
9493537229
6835468715
9585092854
9565672102
4459328189
9938468573
1907404223
4009287278
8277397158
2538295035
5582062576
6671078122
3734699268
4884018024
4386894692
6544226428
2940130314
3780146083
7573049763
5396838163
3047157364
3827749461
3096961682
2917273505
6463587719
7120674851
2744993295
2310637240
6162189494
2043582459
4008356522
5413411044
2841142222
9708523754
3101742586
5299060765
8298923207
5718180732
2543888389
8989122201
5193915120
8836583188
9334617897
3604118319
5664789234
7612158106
4941937401
8529743733
4333895231
2313320258
6669296780
3879509596
3443733336
6453697870
4524083263
3203403329
5981044245
4678970711
2933619319
5536889867
5886865329
3057754642
6324166957
1527361692
6151939104
1975196426
7268460784
2798749045
6410534556
1219611763
8260323739
8185651066
5152535691
5808883871
3002782737
1874275303
5163701089
4525066873
2572069279
5541983404
7999535907
9315980032
7920443566
1048442139
3097888952
4083341866
7450541290
3875832144
8356018613
3561287439
3096601373
1344086558
2521271695
9561808922
2663736812
2336853841
3389505747
3951809515
6946959155
6410216031
3757346412
5477260503
6295753277
4879838841
8986237126
3426303960
1232485687
7169509762
2684456430
9557700013
4428331795
4114544084
1756948169
3071780171
9473476437
8253633077
4024189178
7218470906
5562803192
5752978132
3231658332
3518270784
7795371689
1992941707
8073846450
9006508173
1856571703
9040259797
3059200676
5149247167
9236011673
7955028726
1901007400
4630799462
8066785668
5670905141
5218824403
8397760707
2396533767
2361527364
3372172910
2828420987
3019491821
1013566607
3714698669
6210649160
2767941204
9331988762
5121677359
2393597779
7983805214
3580971057
8761900426
2897812330
2331755668
1257309315
7750018698
4129137476
8021782515
5505144374
9684517179
1733942087
8265713081
8893804312
4158553006
4419149626
5596142972
2040088768
4273619592
6005995925
4966514352
8303775683
4046622386
8705885493
3475966739
1016687010
9053335746
8890233905
1076806957
7481913392
7359960134
8895682437
2439409436
7014301944
3548710431
7917820555
5722684971
6897777202
2155298484
1849054316
6165743553
2334365232
1638183540
3878197167
3428585752
8590329935
2602866891
6441548450
9289422744
7257540258
8828830246
5195181335
1824728759
1054773088
4225968867
2117342434
4737178296
6028948763
5238293454
5122492932
3910433328
3683658809
5198984489
3088326267
8060822157
6700818364
7648837607
9591973886
7681962673
2222728856
7014296481
4991332373
5956422878
9244475784
7182562476
9029991695
9398039085
5218455918
8000804480
5571351718
5170365180
3454478094
4435364714
3313077190
8759337004
8499437455
4995528549
6823043073
3796376199
5600455504
8615435900
5898065993
1859456174
5445377380
6553789011
2994691535
9186952029
9466017302
8224417889
Spreadsheet: 777693d1650554368-sorting-of-numbers-including-hyphens-excelforum21
Sheet: products_export_1 - 2022-04-21T

Given | Preferrable sorting | 365 | earlier
92582-03-15 | 92582-03-15
92582-03-16 | 92582-04-15 | 92582-04-15
92582-04-15 | 92582-05-15 | 92582-05-15
92582-04-16 | 92582-03-16 | 92582-03-16
92582-05-15 | 92582-04-16 | 92582-04-16
92582-07-16 | 92582-07-16 | 92582-07-16
92582-07-17 | 92582-07-17 | 92582-07-17
92583-03-15 | 92583-03-15 | 92583-03-15
92583-03-16 | 92583-04-15 | 92583-04-15
92583-04-15 | 92583-05-15 | 92583-05-15
92583-04-16 | 92583-03-16 | 92583-03-16
92583-05-15 | 92583-04-16 | 92583-04-16
92583-07-16 | 92583-07-16 | 92583-07-16
92583-07-17 | 92583-07-17 | 92583-07-17
Spreadsheet: 858177d1706908163-need-help-to-create-working-formula-looking-at-just-month-and-year-example-of-info-by-yr-and-month
Sheet: Sheet1

MONTH SELECT |  | AMT SPENT |  | YEAR SELECT |  |  |  | MONTHS |  | YEARS
December | -----------------> |  | <---------- | 2022 |  |  |  | January |  | 2022
 |  |  |  |  |  |  |  | February |  | 2023
 |  |  |  |  |  |  |  | March |  | 2024
 |  |  |  |  |  |  |  | April |  | 2025
 | DATE | EXPENSE | AMOUNT |  |  |  |  | May |  | 2026
 | 2022-12-07 00:00:00 | [NAME] | 22.69 |  |  |  |  | June |  | 2027
 | 2022-12-09 00:00:00 | [NAME] | 96.83 |  |  |  |  | July |  | 2028
 | 2022-12-09 00:00:00 | Saubel's | 29.26 |  |  |  |  | August |  | 2029
 | 2022-12-10 00:00:00 | Redners | 42.56 |  |  |  |  | September |  | 2030
 | 2022-12-14 00:00:00 | [NAME] | 51.36 |  |  |  |  | October |  | 2031
 | 2023-02-01 00:00:00 | [NAME] | 83.68 |  |  |  |  | November |  | 2032
 | 2023-02-04 00:00:00 | Redners | 64.26 |  |  |  |  | December |  | 2033
 | 2023-02-08 00:00:00 | Tractor Supply | 6.34 |  |  |  |  |  |  | 2034
 | 2023-02-11 00:00:00 | [NAME] | 65.44 |  |  |  |  |  |  | 2035
 | 2023-02-11 00:00:00 | Sauble's | 70.46 |  |  |  |  |  |  | 2036
 | 2023-02-17 00:00:00 | Saubel's | 63.31 |  |  |  |  |  |  | 2037
 | 2023-02-17 00:00:00 | Redners | 89.51 |  |  |  |  |  |  | 2038
 | 2024-01-25 00:00:00 | [NAME] | 16.45 |  |  |  |  |  |  | 2039
 | 2024-01-23 00:00:00 | Saubels | 34.67 |  |  |  |  |  |  | 2040
 | 2024-01-26 00:00:00 | [NAME], Bag of Candy & Pie   (Part of $96.26 [NAME]) | 11.63 |  |  |  |  |  |  | 2041
 | 2024-01-26 00:00:00 | Tractor Supply  (2 bags of Licorice) | 5.98 |  |  |  |  |  |  | 2042
 | 2024-01-28 00:00:00 | Redners | 40.94 |  |  |  |  |  |  | 2043
 | 2024-02-01 00:00:00 | Redners | 69.53 |  |  |  |  |  |  | 2044
 |  |  |  |  |  |  |  |  |  | 2045
 |  |  |  |  |  |  |  |  |  | 2046
 |  |  |  |  |  |  |  |  |  | 2047
 |  |  |  |  |  |  |  |  |  | 2048
 |  |  |  |  |  |  |  |  |  | 2049
 |  |  |  |  |  |  |  |  |  | 2050
Spreadsheet: sally_beck__33827__Global Mkt_Plan
Sheet: Energy Ops Mgmt

 |  |  |  |  |  | ENERGY OPERATIONS |  |  |  |  |  |  | A | B | C | D | E | F | G | H | I | J
 |  |  |  |  |  | Plan 2001
Cycle |  |  |  |  | Name | CC Number | CC Owner | CC Name |  |  |  | Global Markets | Global Markets | Global Crude & Products | Coal | Emissions | Currency | Equities | Interest Rate | Agricultural Trading | Insurance | Weather | Global Products Trading | Caribbean / Middle East
 |  |  |  |  |  | ENERGY OPERATIONS MGMT
Cycle 8 |  |  |  |  | NAEODC59 | 105588 | Beck | NA-Energy Ops Management |  |  |  |  | 0.03 |  |  |  |  |  |  |  |  |  | 0.02 | 0
 |  |  |  |  |  |  |  |  |  | #[NAME]!
Spreadsheet: 9060b7ec-ce3d-4b4f-a1f1-5aeebb7d37fe
Sheet: Salaries

SALARIES
Provide information for all CACFP-related employees.  If you have employees that are not paid based on a monthly salary or hourly rate, please attach additional information (i.e., dollar rate per home).
For all employees, if salaries are increased since last year provide the following for each applicable employee: Date increase is effective; percentage and nature of increase.
Cost of living increases in pay must be based on current, generally acepted statistical data. Provide explanation in cost allocation plan.
 |  |  |  | For Salaried Employees | For Hourly Employees |  | Nature of Increase
Employee Name: First and Last | Position Title | If position is hourly place an "X" in this box | Daily work hours (include beginning & end times) | Gross Monthly Rate (before deductions) | Gross Hourly rate (before deductions) | Annual Percentage of Increase | (Cost-of-living or Merit) | Total Work Hours per month | Total Work Hours for CACFP per month | Percent of Total Work Hours for CACFP | Total Required Employer Taxes per month* | Total Employer Taxes Paid Per month by CACFP. | Total Annual Cost to CACFP ** *
 |  |  |  | 0 | 0 | 0 | COL | 1 | 0
 |  |  |  | 0 | 0 | 0 | Merit | 1 | 0
 |  |  |  | 0 | 0 | 0 |  | 1 | 0
 |  |  |  | 0 | 0 | 0 |  | 1 | 0
 |  |  |  | 0 | 0 | 0 |  | 1 | 0
 |  |  |  | 0 | 0 | 0 |  | 1 | 0
 |  |  |  | 0 | 0 | 0 |  | 1 | 0
 |  |  |  | 0 | 0 | 0 |  | 1 | 0
 |  |  |  | 0 | 0 | 0 |  | 1 | 0
 |  |  |  | 0 | 0 | 0 |  | 1 | 0
 |  |  |  | 0 | 0 | 0 |  | 1 | 0
 |  |  |  |  |  |  |  | Total  CACFP Salaries
*  [NAME] Compensation, Unemployment Insurance, Social Security Tax and any other required tax.
Spreadsheet: 525259d1498644904-match-and-index-test1
Sheet: Sheet2

 | AR1 | AR2 | AR3 | AR4 | AR5 | AR6 | AR7 | AR8 | AR9 | AR10 | AR11 | AR12 | AR13 | AR14 | AR15 | AR16 | AR17 | AR18 | AR19 | AR20 | AR21 | AR22 | AR23 | AR24 | AR25 | AR26 | AR27 | AR28 | AR29 | [NAME] | AR31 | AR32 | AR33 | AR34 | AR35 | AR36 | AR37 | AR38 | AR39 | AR40 | AR41 | AR42 | AR43 | AR44 | AR45 | AR46 | AR47 | AR48 | AR49 | AR50 | AR51 | AR52 | AR53 | AR54 | AR55 | AR56 | AR57 | AR58 | AR59 | AR60
 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | 30 | 31 | 32 | 33 | 34 | 35 | 36 | 37 | 38 | 39 | 40 | 41 | 42 | 43 | 44 | 45 | 46 | 47 | 48 | 49 | 50 | 51 | 52 | 53 | 54 | 55 | 56 | 57 | 58 | 59 | 60
Spreadsheet: 857158d1706204210-returning-information-but-name-is-offset-to-results-barry
Sheet: Barry AliGW

Vehicle Reg | [NAME] |  | [NAME] |  |  |  |  |  |  |  |  |  | Occurances
Date/Time | Location | Speed | Speed Limit | Speed Exceeded | Speed Exceeded Percentage |  |  |  |  |  |  |  | Offences | Highest speed exceeded | 30 | 40 | 60
2024-01-24 00:19:00 | [NAME], [NAME] | 41 | 30 | 11 | 37 |  |  |  |  |  |  | [NAME] | 4 | 11 | 2 | 0 | 2
2024-01-24 01:05:00 | Watling Street, Gravesend | 66 | 60 | 6 | 10 |  |  |  |  |  |  | [NAME] | 3 | 7 | 0 | 3 | 0
2024-01-24 01:06:00 | Watling Street, Gravesend | 66 | 60 | 6 | 10 |  |  |  |  |  |  | [NAME] | 2 | 4 | 2 | 0 | 0
2024-01-24 23:07:00 | Hall Road, Gravesend | 33 | 30 | 3 | 10
Vehicle Reg | SK72XWZ [NAME]
Date/Time | Location | Speed | Speed Limit | Speed Exceeded | Speed Exceeded Percentage
2024-01-24 09:29:00 | [NAME], Newbridge | 45 | 40 | 5 | 12
2024-01-24 09:30:00 | [NAME], Newbridge | 47 | 40 | 7 | 18
2024-01-24 09:31:00 | [NAME], Edinburgh | 45 | 40 | 5 | 12
Vehicle Reg | GS69SJV [NAME]
Date/Time | Location | Speed | Speed Limit | Speed Exceeded | Speed Exceeded Percentage
2024-01-24 12:45:00 | Easedale Gardens, Gateshead | 34 | 30 | 4 | 13
2024-01-24 12:47:00 | Hertford, Gateshead | 34 | 30 | 4 | 13
Spreadsheet: 854128d1704110114-create-spread-for-actual-values-against-planned-plan-vs-actual-distribution-excelforum-windknife-1-
Sheet: Sheet1

Activity | Company | Month | Plan | Actual
Activity 1 | ABC | 2023-01-01 00:00:00 | 100 | 30 |  |  |  | /Actual | 2023-01-01 00:00:00 | 2023-02-01 00:00:00 | 2023-03-01 00:00:00
Activity 2 | ABC | 2023-01-01 00:00:00 | 50 | 60 |  |  | 2023-01-01 00:00:00 | 350 | 140 | 200 | 20
Activity 1 | DEF | 2023-01-01 00:00:00 | 200 | 50 |  |  | 2023-02-01 00:00:00 | 50 | 0 | 90 | 0
Activity 1 | ABC | 2023-02-01 00:00:00 | 0 | 50 |  |  | 2023-03-01 00:00:00 | 0 | 0 | 0 | 0
Activity 1 | ABC | 2023-03-01 00:00:00 | 0 | 20
Activity 1 | DEF | 2023-02-01 00:00:00 | 0 | 150
Activity 2 | ABC | 2023-02-01 00:00:00 | 50 | 90
Plan/Actual |  | 2023-01-01 00:00:00 | 2023-02-01 00:00:00 | 2023-03-01 00:00:00
2023-01-01 00:00:00 | 350 | 140 | 200 | 20
2023-02-01 00:00:00 | 50 |  | 90
 |  |  |  |  |  |  | Plan | /Actual | 2023-01-01 00:00:00 | 2023-02-01 00:00:00 | 2023-03-01 00:00:00
 |  |  |  |  |  |  | 2023-01-01 00:00:00 | 350 | 140 | 200 | 20
[NAME] for January (350) |  |  |  |  |  |  | 2023-02-01 00:00:00 | 50 | 0 | 90 | 0
Activity | Company | 2023-01-01 00:00:00 | 2023-02-01 00:00:00 | 2023-03-01 00:00:00 |  |  | 2023-03-01 00:00:00 | 0 | 0 | 0 | 0
Activity 1 | ABC | 30 | 50 | 20
Activity 2 | ABC | 60
Activity 1 | DEF | 50 | 150
[NAME] for February (50)
Activity | Company | 2023-01-01 00:00:00 | 2023-02-01 00:00:00 | 2023-03-01 00:00:00
Activity 2 | ABC |  | 90
Spreadsheet: 78759d1279079284-need-to-fill-adjacent-cells-after-selecting-something-from-a-drop-down-list-intervention-calculator
Sheet: Legend

Intervention Type | Intervention Class | Soft $ Saved | Hard $ Saved
Allergy [NAME] | Clarification | 153 | 0
Allergy Prevented | Clarification | 153 | 0
Clarification of Orders | Clarification | 153 | 0
Committee time/prep | Info/Education | 0 | 0
Dose Evaluation | Safety | 153 | 0
Drug Information | Info/Education | 0 | 0
Drug-Lab Interaction | Info/Education | 153 | 0
Drug/Drug Interaction | Safety | 153 | 0
Drug/Food Interaction | Safety | 153 | 0
In-Service Done | Info/Education | 0 | 0
In-Service Prep | Info/Education | 0 | 0
MUE Review | Quality Assurance | 0 | 0
Other Dosage Evaluation | Safety | 153 | 0
Other Pharmacy Intervention | Quality Assurance | 153 | 0
Patient Medication Hx | Quality Assurance | 153 | 0
Renal Dose Change | Theraputic | 153 | 0
Renal Dose Evaluation | Renal Assessment | 153 | 0
Renal Dose Recommendation | Renal Assessment | 0 | 0
[NAME] | Quality Assurance | 153 | 0
Theraputic Interchange Done | Interchanges | 0 | 24
Theraputic Interchange Recommended | Interchanges | 0 | 0
Warfarin Dosed | Theraputic | 153 | 0
Black Box - Haloperidol | Quality Assurance | 13 | 1
Black Box - Metformin | Quality Assurance | 1 | 1
[NAME] | Theraputic | 12 | 12
Anticoagulation Staff Training | Anticoagulation | 134 | 1
Warfarin Baseline Labs | Anticoagulation | 200 | 0
Warfarin Baseline Labs Not Done | Anticoagulation | 134 | 1
Warfarin Daily Monitoring | Anticoagulation | 134 | 0
Renal-Cipro | Renal Assessment | 0 | 100
Renal-Fluconazole | Renal Assessment | 0 | 100
Spreadsheet: 748735d1632319356-work-out-daily-amount-to-target-31-day-figures
Sheet: 24th

 |  |  |  | TURNOVER |  |  |  |  | REVENUE
 | AREA 3 |  |  | Target | Needed Daily | Actual | [NAME] |  | Target | Needed Daily | Actual | [NAME] |  | [NAME]'s | ATV |  | [NAME] | SALT £ |  | TMC |  | BB+ |  | Errors
 | Asda - Aintree
 | Asda - Huyton
 | Asda - Hunts Cross
 | Asda - Horwich
 | Asda - Leigh
 | Asda - Burnley
 | Asda - Westbrook
 | Asda - Widnes
 | Asda - Bromborough
 | Asda - Accrington
 | Asda - Colne
 | Asda - Clayton Green
 | Asda - Runcorn
 | Asda - Blackburn
 | Asda - Walton
 | Asda - Blackpool
 | Asda - Wigan
 | Asda - Preston
Spreadsheet: 376565d1423650708-biometrics-data-transpose-using-excel-timecard
Sheet: Sheet1

Emp# | Name
6 | Cambal, [NAME]
9 | Cumaling, Jaime
10 | Eran, [NAME]
11 | Llanes, Eddie
12 | [NAME], Jojo
14 | Mainit, Eden
19 | Sarusal, Joel
20 | Sellon, [NAME]
21 | Villafuerte, [NAME]
22 | Villafuerte, [NAME]
23 | [NAME], Ching
24 | Alfeche, [NAME]
25 | Pegarido, Dennis
26 | Sumalpong, Acelino
27 | Panunce, Marvin
28 | Mahilum, [NAME]
29 | Tolomia, [NAME]
31 | [NAME], [NAME]
33 | [NAME], [NAME]
34 | Papas, [NAME]
35 | Macabenta, [NAME]
36 | [NAME], Ludivico
37 | Carpio, Rolly
38 | Abadiano, [NAME]
39 | Aradji, Sabor
40 | Cinco, [NAME]
41 | Mansilita, Enoremer
43 | Mahilum, Rolando
46 | Batcho, Dionesio
47 | Mahilum, Dioscoro
49 | Sarusal, [NAME]
50 | Borja, [NAME]
53 | [NAME], [NAME]
54 | Cumaling, [NAME]
55 | Jimenez, [NAME]
56 | Baldado, [NAME]
57 | Ello, [NAME]
58 | Escario, [NAME]
59 | [NAME], [NAME]
60 | Gamboa, Archie
61 | Pelimer, [NAME]
62 | Paredes, [NAME]
63 | Ong, Karen
67 | Quirante, [NAME]
71 | Canuday, Cesario
72 | Acasio, [NAME]
73 | Santome, [NAME]
74 | Limbaga, Simplicio
Spreadsheet: 269980d1381339160-sumifs-function-scenario_3_start-2013-finished
Sheet: Clients

Campaign Id | Client Name | Campaign Name | Contact Name | Region
1 | Volswagen | Think Small | Paul Simons | America
2 | [NAME] | Great Taste, Less Filling | [NAME] | Europe
3 | Nike | Just Do it | [NAME] | America
4 | De Beers | A Diamond is Forever | [NAME] | America
5 | [NAME] | The Absolut Bottle | [NAME] | Europe
6 | Marlboro | Marlboro Man | Paul Simons | Asia
7 | Calafornia Milk | Got Milk | [NAME] | America
8 | Wendys | Where is the beef | [NAME] | Asia
9 | Apple | Get a Mac | [NAME] | Asia
10 | Clairol | Does she or doesn’t she | [NAME] | Asia
Spreadsheet: 871861d1718261265-query-pivot-to-transpose-email-address-book1_email
Sheet: Sheet1

IDCUST | CUSTOMER NAME | [NAME]
UC1001 | Lake View Credit Pte Ltd (UC1001) | [EMAIL]
UC1001 | Lake View Credit Pte Ltd (UC1001) | [EMAIL]
UC1001 | Lake View Credit Pte Ltd (UC1001) | [EMAIL]
UC1002 | [NAME] (UC1002) | [EMAIL]
UC1005 | Island Car Trading Pte Ltd | [EMAIL]
UC1005 | Island Car Trading Pte Ltd | [EMAIL]
UC1001 | Lake View Credit Pte Ltd (UC1001) | [EMAIL]