tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 0152e851-70b9-4427-b60a-8620d3ca2bc3
Sheet: No Build Maintenance 

 | HR&A Advisors, Inc.
 | Inner Loop East Reconstruction Project
 | Detailed Project Maintenance and Repair
 | Category | Quantity | Cost per Application | Total Cost (2013$)
 | City Streets Full Depth Pavement Reconstruction | 1 | 11863934.362
 | City Streets Mill and [NAME] | 1 | 1501522.524
 | City Streets Crack Sealing / Striping | 8 | 74752.2
 | Inner Loop Full Depth Pavement Reconstruction | 1 | 9001847.3125
 | [NAME] and [NAME] | 1 | 2023708.043
 | Inner Loop Crack Sealing / Striping | 8 | 49149
 | New Signal Installation | 1 | 1945860.345
 | Monroe Bridge Joint Repair | 2 | 93242.8125
 | [NAME] | 2 | 318518.3125
 | Monroe Bridge Concrete and Steel Rehab | 1 | 267107.035
 | Monroe Bridge Washing | 15 | 4135.4
 | Broad Bridge Rehabilitation | 1 | 2328203.92245
 | Broad Bridge Painting | 3 | 180213
 | Broad Bridge Joint Repair | 2 | 118107.5625
 | [NAME] | 1 | 424120.6874999999
 | Broad Bridge Concrete and Steel Rehab | 1 | 382817.37
 | Broad Bridge Washing | 13 | 4206.7
 | East Bridge Rehabilitation | 1 | 1096116.95305
 | East Bridge Painting | 3 | 180213
 | East Bridge Bearing Lube | 3 | 46939.2
 | East Bridge Joint Repair | 2 | 82882.5
 | East Bridge Deck Inlay | 1 | 283598.625
 | East Bridge Concrete and Steel Rehab | 1 | 363252.258
 | East Bridge Washing | 13 | 4206.7
 | Wall Surface Rehabilitation 1 | 1 | 2727452
 | Wall Surface Rehabilitation 2 | 1 | 426783.5
 | Wall Surface Rehabilitation 3 | 1 | 635635
 | Total Maintenance Cost
Spreadsheet: 0b9321cc-3c46-4cd5-bd65-fbbd7c341e9f
Sheet: Sheet1

THE UNIVERSITY OF TULSA | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5
COLLEGE OF ARTS AND SCIENCES | Name____________________________________
Area of Concentration Requirements | Major-French B.A.
1.        You must have a minimum GPA of 2.2 | French majors complete 30 hours at the 3000 and 4000 levels with a minimum
in your area of concentration and a minimum of | of 15 hours at the 4000 level. The 30 hours include Advanced French (Fr 3023),
2.0 TU GPA in order to graduate. | Approaches to the Analysis of French Texts (Fr 3003), and a minimum of six hours in
 | Literary and Cultural Studies (Fr 4113, Fr 4123, Fr 4143).  French Education majors take
2.        No Pass/D/F or CLEP credit may be | Methods of Teaching Languages  (Lang 4003).  At least 24 of the 30 hours must be taken
applied toward your Area of Concentration. | in courses taught in French.   Up to six hours, including Lang 4003 may be taken in related
 | courses designated Lang (Language) or CpLt (Comparative Literature), with prior
3.    Courses applied to meet Core and General | approval of the major advisor. Other appropriate courses may be approved by special
Curriculum requirements may not also apply in | permission of the major advisor and department chair.
your Area of Concentration.
4.   Two thirds of the course work in your |  |  | HR | GR | SM
Major [NAME] must be at the 3000 or 4000 level. | FR 3023 Advanced French |  | _____ | _____ | _____
 | FR 3033 Approaches to the Analysis of French Texts |  | _____ | _____ | _____
5.     Subjects in your Minor Field must be | ___________________________________ |  | _____ | _____ | _____
selected in conjunction with your [NAME] | ___________________________________ |  | _____ | _____ | _____
 | ___________________________________ |  | _____ | _____ | _____
6.  No more than 55 hours may be earned in the | ___________________________________ |  | _____ | _____ | _____
Area of Concentration, and no more than 39 of | ___________________________________ |  | _____ | _____ | _____
these may be earned in the major subject. | ___________________________________ |  | _____ | _____ | _____
These totals may be exceeded only by the | ___________________________________ |  | _____ | _____ | _____
number of hours beyond the 124 required for | ___________________________________ |  | _____ | _____ | _____
graduation.
 | Minor - 12 hours with 6 hours at the 3000 or 4000 level.
 | ___________________________________ |  | _____ | _____ | _____
 | ___________________________________ |  | _____ | _____ | _____
 | ___________________________________ |  | _____ | _____ | _____
 | ___________________________________ |  | _____ | _____ | _____
Spreadsheet: 769066d1645277955-adding-extra-spaces-in-a-cell-separating-data-from-a-single-cell
Sheet: Sheet3

 | 73.29 BF2192 Brown-line Bright-eye [NAME] conigera | 73.29   BF2192   Brown-line Bright-eye [NAME] conigera |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 45 | 108 | 105 | 110 | 101
 | 73.291 BF2199 [NAME] Mythimna pallens | 73.291   BF2199   [NAME] pallens
 | 73.292 BF2200 [NAME]'s Wainscot [NAME] favicolor | 73.292   BF2200   Mathew's [NAME] favicolor
 | 73.293 BF2198 [NAME] [NAME] impura | 73.293   BF2198   [NAME] impura
 | 73.294 BF2197 Southern Wainscot [NAME] straminea | 73.294   BF2197   Southern Wainscot Mythimna straminea
 | 73.295 BF2195 The Delicate [NAME] vitellina | 73.295   BF2195   The Delicate [NAME] vitellina
 | 73.296 BF2203 White-speck [NAME] unipuncta | 73.296   BF2203   White-speck [NAME] unipuncta
 | 73.297 BF2194 White-point [NAME] albipuncta | 73.297   BF2194   White-point [NAME] albipuncta
 | 73.298 BF2193 The Clay Mythimna ferrago | 73.298   BF2193   The Clay Mythimna ferrago
 | 73.299 BF2201 Shore Wainscot [NAME] litoralis | 73.299   BF2201   Shore [NAME] litoralis
 | 73.3 BF2202 L-album Wainscot Mythimna l-album | 73.3   BF2202   L-album [NAME] l-album
 | [NAME] Shoulder-striped [NAME] Leucania comma | 73.301   BF2205   Shoulder-striped Wainscot Leucania comma
 | 73.302 BF2204 Obscure Wainscot Leucania obsoleta | 73.302   BF2204   Obscure Wainscot Leucania obsoleta
 | 73.303 BF2206 [NAME] Leucania putrescens | 73.303   BF2206   [NAME] putrescens
 | 73.3031 BF2210 The Maori Graphania averilla [NAME] | 73.3031   BF2210   The Maori Graphania averilla Appendix A
Spreadsheet: 762510d1641584777-lookup-multiple-criteria-multiple-results-excel-q
Sheet: Phoenix_P11

PHOENIX- P11 RTOU (October 10th-12th)
Zone | Trainee | Trainee GPID/Hire Date | RTO Trainer | Position | [NAME] | Room Nights
North Phoenix | Kelsey Warner |  |  |  |  | Mon, Tue, Wed
Phoenix
Tucson | [NAME] |  |  | CSS |  | Mon, Tue, Wed
El Paso
 | [NAME] | 80082219 -- Sept 25 | [NAME] | RSR | XL | 0
 | [NAME] | 80080245 -- Sept 12 | [NAME] | RSR | XL | 0
 | [NAME] | 80081579 -- Sept 20 | [NAME] | RSR | XL | 0
 | [NAME] | 80080446 -- Sept 13 | [NAME] | RSR | XL | 2
 | [NAME] | 80080237 -- Sept 12 |  | RSR | XL | 2
Spreadsheet: 59411f65-dac5-409e-b902-b037d5a40976
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4
 | WINNING DISTANCES
 | COUPE AÉRONAUTIQUE GORDON BENNETT
 | Year | Pilot and Co-pilot (Country) | Distance (Km)
1 | 2005 | Berben/Siméons (Belgium) | 3400.39
2 | 2006 | de Cock/[NAME] (Belgium) | 2449.6
3 | 2010 | Frieden/Witpraechtiger (Switzerland) | 2434.31
4 | 1912 | Bienaime/Rumpelmayer (France) | 2191
5 | 1910 | Hawley/Post (USA) | 1887.6
6 | 1993 | Starkbaum/Roehsler (Austria) | 1832
7 | 2004 | Abruzzo/Rymer Davis (USA) | 1803.36
8 | 1920 | Demuyter/Labrousse (Belgium) | 1769
9 | 2008 | Hampleman-Adams/Mason (Great Britain) | 1768.67
10 | 1997 | Leys/Leys (France) | 1732.5
11 | 1936 | Demuyter/Hoffmanns (Belgium) | 1715.8
12 | 1938 | Janusz/Janik (Poland) | 1692
13 | 1999 | de Cock/[NAME] (Belgium) | 1666.5
14 | 1935 | Burzynski/Wysocki (Poland) | 1650.47
15 | 1995 | Eimers/Landsmann (Germany) | 1628.1
16 | 2001 | Leys/Leys (France) | 1626.6
17 | 2003 | Leys/Leys (France) | 1596.5
18 | 2009 | Rolland/V.Leys (France) | 1588.29
19 | 1932 | Settle/Bushnell (USA) | 1550
20 | 1907 | Erbslöh/Clayton (Germany) | 1403.55
21 | 1937 | Demuyter/Hoffmanns (Belgium) | 1396
22 | 1922 | Demuyter/Veenstra (Belgium) | 1372.1
23 | 1933 | Hynek/Burzynski (Poland) | 1361
24 | 1925 | Veenstra/Quersin (Belgium) | 1345
25 | 1934 | Hynek/Pomaski (Poland) | 1333
26 | 1996 | Eimers/Landsmann (Germany) | 1286.9
27 | 2002 | Leys/Leys (France) | 1282.3
28 | 1927 | Hill/Schlosser (USA) | 1198
29 | 1908 | Schaeck/Messner (Switzerland) | 1190
30 | 1923 | Demuyter/Coeckelbergh (Belgium) | 1155
31 | 1909 | Mix/Roussel (USA) | 1121.11
32 | 1988 | Starkbaum/Scholz (Austria) | 1110.9
33 | 1991 | Kuinke/Schubert (Germany) | 1024.9
34 | 1992 | Levin/Herschend (USA) | 964.2
35 | 1989 | Starkbaum/Scholz (Austria) | 911.2
36 | 1930 | v. Orman/McCracken (USA) | 872
37 | 1926 | v. Orman/Morton (USA) | 864
38 | 1987 | Starkbaum/Scholz (Austria) | 852
39 | 1994 | Spenger/Stoll (Switzerland) | 825.1
40 | 2000 | Eimers/Landsmann (Germany) | 795.7
41 | 1984 | Spenger/Messner (Switzerland) | 793
42 | 1921 | Ansermier/Armbruster (Switzerland) | 766
43 | 1911 | Gericke/Duncker (Germany) | 757.84
44 | 1928 | Kepner/Eareckson (USA) | 740.8
45 | 1924 | Demuyter/Coeckelbergh (Belgium) | 714
46 | 1990 | Starkbaum/Scholz (Austria) | 692.5
47 | 1983 | Makne/Cieslak (Poland) | 690
48 | 1906 | Lahm/Hersey (USA) | 641.1
49 | 1913 | Upson/Preston (USA) | 618
50 | 1929 | v. Orman/McCracken (USA) | 548.94
51 | 1985 | Starkbaum/Scholz (Austria) | 342
52 | 1986 | Starkbaum/Scholz (Austria) | 272.43
53 | 1998 | cancelled due to weather | 0
54 | 2007 | cancelled due to weather | 0
Spreadsheet: 486226d1477391681-group-values-of-each-person-time-avaiable-vs-time-assigned-the-task-example
Sheet: sheet1

beggining date | year | month | processing date | Employee code | Name | Movement Code | Movement Designion | Duration | Registration Date
2016-01-04 00:00:00 |  |  | 2016-01-05 00:00:00 | 4 | [NAME] | 1 | Vencimento mensal | 8 | 2016-01-25 10:45:21
2016-01-04 00:00:00 |  |  | 2016-01-05 00:00:00 | 4 | [NAME] | 81 | [NAME] (P) | 1.35 | 2016-01-25 10:45:21
2016-01-04 00:00:00 |  |  | 2016-01-05 00:00:00 | 15 | [NAME] | 1 | Vencimento mensal | 8 | 2016-01-25 10:45:21
Spreadsheet: 85790d1285833365-sum-quarters-into-year-dummy-data
Sheet: Sheet1

2010_3 | 20000000 |  |  |  |  | 2010
2010_4 | 80000000 |  |  |  |  | 2011
2011_1 | 113571646 |  |  |  |  | 2012
2011_2 | 164762194.666667 |  |  |  |  | 2013 and beyond
2011_3 | 211548017.666667
2011_4 | 258333840.666667
2012_1 | 305119663.666668
2012_2 | 351905486.666668
2012_3 | 279000333
2013_3 | 80000000
2013_4 | 80000000
2014_2 | 38018567
2014_4 | 20000000
2015_3 | 9705299
Spreadsheet: 878949d1726303913-xirr-with-criteria-xirr-with-criteria
Sheet: Test

Tran Date | Amount Invest | Value Return | Total Value Return | XIRR To-Date | 6-Period XIRR | Fund Code
2013-12-30 00:00:00 | 3000 | 2902.91 | 2902.91 |  |  | 123
2014-04-01 00:00:00 | 0 | 53.66 | 2956.57 |  |  | 123
2014-12-29 00:00:00 | 3000 | 2904.86 | 5861.43 |  |  | 123
2015-04-01 00:00:00 | 0 | 131.12 | 5992.55 |  |  | 123
2015-12-22 00:00:00 | 3000 | 2899.32 | 8891.87 |  |  | 123
2016-04-01 00:00:00 | 0 | 234.31 | 9126.18 |  |  | 123
2016-12-20 00:00:00 | 3000 | 2899.32 | 12025.5 |  |  | 123
2017-04-03 00:00:00 | 0 | 322.24 | 12347.74 |  |  | 123
2017-12-13 00:00:00 | -12506.55 | -12506.55 | -158.8099999999995 |  |  | 123
2017-12-13 00:00:00 | 12506.55 | 12506.55 | 12506.55 |  |  | 456
2018-04-03 00:00:00 | 0 | 454.46 | 12961.01 |  |  | 456
2018-12-11 00:00:00 | 3000 | 2904.85 | 15865.86 |  |  | 456
2019-04-01 00:00:00 | 0 | 438.11 | 16303.97 |  |  | 456
2019-12-16 00:00:00 | 3000 | 2904.85 | 19208.82 |  |  | 456
2020-04-01 00:00:00 | 0 | 530.99 | 19739.81 |  |  | 456
2021-04-01 00:00:00 | 0 | 729.13 | 20468.94 |  |  | 456
2021-12-29 00:00:00 | 3000 | 2904.85 | 23373.79 |  |  | 456
2022-04-01 00:00:00 | 0 | 852.81 | 24226.6 |  |  | 456
2010-01-11 00:00:00 | 10000 | 9708.74 | 9708.74 |  |  | 789
2010-11-01 00:00:00 | 0 | 923.37 | 10632.11 |  |  | 789
2011-11-01 00:00:00 | 0 | 785 | 11417.11 |  |  | 789
2012-11-01 00:00:00 | 0 | 614.54 | 12031.65 |  |  | 789
2013-11-01 00:00:00 | 0 | 677.89 | 12709.54 |  |  | 789
2014-11-03 00:00:00 | 0 | 958 | 13667.54 |  |  | 789
2015-11-02 00:00:00 | 0 | 1031.28 | 14698.82 |  |  | 789
2016-11-01 00:00:00 | 0 | 827.93 | 15526.75 |  |  | 789
2017-11-01 00:00:00 | 0 | 871.57 | 16398.32 |  |  | 789
2018-11-01 00:00:00 | 0 | 917.2 | 17315.52 |  |  | 789
2019-11-01 00:00:00 | 0 | 161.54 | 17477.06 |  |  | 789
2020-11-02 00:00:00 | 0 | 522.03 | 17999.09 |  |  | 789
2021-11-01 00:00:00 | 0 | 538.49 | 18537.58000000001 |  |  | 789
2022-11-01 00:00:00 | 0 | 345.51 | 18883.09 |  |  | 789
2010-09-07 00:00:00 | 6000 | 5825.24 | 5825.24 |  |  | 234
2011-04-01 00:00:00 | 0 | 465.41 | 6290.65 |  |  | 234
2011-04-21 00:00:00 | 4500 | 4368.93 | 10659.58 |  |  | 234
2012-04-02 00:00:00 | 0 | 746.59 | 11406.17 |  |  | 234
2013-04-01 00:00:00 | 0 | 905.77 | 12311.94 |  |  | 234
2014-03-03 00:00:00 | 3000 | 2912.62 | 15224.56 |  |  | 234
2014-04-01 00:00:00 | 0 | 1072.88 | 16297.44 |  |  | 234
2015-04-01 00:00:00 | 0 | 1023.25 | 17320.69 |  |  | 234
2016-04-01 00:00:00 | 0 | 642.76 | 17963.45 |  |  | 234
2017-04-03 00:00:00 | 0 | 511.84 | 18475.29 |  |  | 234
2018-04-02 00:00:00 | 0 | 585.71 | 19061 |  |  | 234
2019-04-01 00:00:00 | 0 | 603.94 | 19664.94 |  |  | 234
2020-04-01 00:00:00 | 0 | 624.74 | 20289.68 |  |  | 234
2021-04-01 00:00:00 | 0 | 813.3 | 21102.98 |  |  | 234
2022-04-01 00:00:00 | 0 | 847.29 | 21950.27 |  |  | 234
2023-04-03 00:00:00 | 0 | 424.43 | 22374.7 |  |  | 234
2024-04-01 00:00:00 | 0 | 658.07 | 23032.77 |  |  | 234
Spreadsheet: 791363d1660310966-return-minimum-number-in-column-b-based-on-name-in-column-a-max-min-time-per-person
Sheet: Min Max Time Per Person

 |  | I'm trying to output the lowest and highest number in column B from a name in Column A
 |  | I want to show two reports as below
[NAME] | 10
Iain | 5
[NAME] | 7
[NAME] | 9
Iain | 9
Iain | 8
[NAME] | 9
[NAME] | 7
[NAME] | 6
[NAME] | 8
 |  | I want to output this
Report Low
[NAME] | 9
Iain | 5
[NAME] | 7
[NAME] | 6
Report High
[NAME] | 10
Iain | 9
[NAME] | 9
[NAME] | 8
Spreadsheet: 168734d1342552700-copy-across-multiple-rows-and-columns-the-data-to-one-column-removing-dupilicates-blank-15640
Sheet: Dec23-Dec29m

Main Arena
 | 2012-12-23 00:00:00 |  |  | Thru | 2012-12-29 00:00:00
 | SUN | MON | TUE | WED | THURS | FRI | SAT
 | 2012-12-23 00:00:00 | 2012-12-24 00:00:00 | 2012-12-25 00:00:00 | 2012-12-26 00:00:00 | 2012-12-27 00:00:00 | 2012-12-28 00:00:00 | 2012-12-29 00:00:00 |  |  |  | Blocks | Team | Hours
7:00AM |  |  |  |  |  |  |  | 7:00AM |  |  | 0 | 05 [NAME] | 0
 |  |  |  |  |  |  |  |  |  |  | 0 | 04 Flags | 0
[NAME] |  |  |  |  |  |  |  | [NAME] |  |  | 0 | 03 [NAME] | 0
 |  |  |  |  |  |  |  |  |  |  | 0 | 02 Flags | 0
[NAME] |  |  |  |  |  |  |  | [NAME] |  |  | 0 | 01 Flags | 0
 |  |  |  |  |  |  |  |  |  |  | 0 | 00 Flags | 0
10:00AM |  |  |  |  |  |  |  | 10:00AM |  |  | 0 | 99 Flags | 0
 |  |  |  |  |  |  |  |  |  |  | 0 | 98 Flags | 0
11:00AM |  |  |  |  |  |  |  | 11:00AM |  |  | 0 | Midget A | 0
 |  |  |  |  |  |  |  |  |  |  | 0 | Midget AA | 0
12:00PM |  |  |  |  |  |  |  | 12:00PM
1:00PM |  |  |  |  |  |  |  | 1:00PM
2:00PM |  |  |  |  |  |  |  | 2:00PM
3:00PM |  |  |  |  |  |  |  | 3:00PM
4:00PM |  |  |  |  |  |  |  | 4:00PM
5:00PM |  |  |  |  |  |  |  | 5:00PM
6:00PM |  |  |  |  |  |  |  | 6:00PM
7:00PM |  |  |  |  |  |  |  | 7:00PM
8:00PM |  |  |  |  |  |  |  | 8:00PM
9:00PM |  |  |  |  |  |  |  | 9:00PM
10:00PM |  |  |  |  |  |  |  | 10:00PM
11:00PM |  |  |  |  |  |  |  | 11:00PM
 | Cancellations or Corrections
 | Date | Time | Customer | Operations Personal | Comments
Spreadsheet: 115554d1311116048-counting-with-conditions-recontest
Sheet: Sheet1

Number | Status
400831669 | PROCESSED
400831670 | PROCESSED
400831671 | PROCESSED
400831672 | PROCESSED
400831673 | REJECTED
400831674 | PROCESSED
400831675 | PROCESSED
400831676 | PROCESSED
400831677 | PROCESSED
400831678 | PROCESSED
400831679 | REJECTED
400831680 | PROCESSED
400831681 | PROCESSED
400831682 | PROCESSED
400831683 | PROCESSED
400831684 | REJECTED
400831685 | PROCESSED
400831686 | PROCESSED
400831687 | PROCESSED
400831688 | PROCESSED
400831689 | REJECTED
400831690 | PROCESSED
400831691 | PROCESSED
400831692 | PROCESSED
400831693 | REJECTED
Spreadsheet: 170598d1343326677-vlookup-help-vlookup-help
Sheet: Sheet1

Policy Type | State | Commission Rate
A18 | IA
A18 | OK
A18 | KS
A18 | IN
A18 | IN
A18 | TX
A18 | LA
A18 | LA
Assumptions:
State | Policy Type | Year 1 Commission | Concat
AZ | A18 | 0.43
DE | A18 | 0.43
IA | A18 | 0.43
IN | A18 | 0.43
KY | A18 | 0.43
ME | A18 | 0.43
MI | A18 | 0.43
OR | A18 | 0.43
TN | A18 | 0.43
UT | A18 | 0.43
VA | A18 | 0.43
VT | A18 | 0.43
WA | A18 | 0.43
AK | A18 | 0.55
AL | A18 | 0.55
AR | A18 | 0.55
DC | A18 | 0.55
GA | A18 | 0.55
HI | A18 | 0.55
ID | A18 | 0.55
IL | A18 | 0.55
KS | A18 | 0.55
LA | A18 | 0.55
MO | A18 | 0.55
MS | A18 | 0.55
NE | A18 | 0.55
NM | A18 | 0.55
ND | A18 | 0.55
OH | A18 | 0.55
OK | A18 | 0.55
PA | A18 | 0.55
SC | A18 | 0.55
TX | A18 | 0.55
WI | A18 | 0.55
WV | A18 | 0.55
WY | A18 | 0.55
CO | A18 | 0.23
RI | A18 | 0.23
SD | A18 | 0.23
AZ | A44A | 0.55
AZ | A44B | 0.43
AK | A48 | 0.55
AL | A48 | 0.55
AR | A48 | 0.55
DC | A48 | 0.55
GA | A48 | 0.55
HI | A48 | 0.55
ID | A48 | 0.55
IL | A48 | 0.55
KS | A48 | 0.55
LA | A48 | 0.55
MO | A48 | 0.55
NE | A48 | 0.55
NM | A48 | 0.55
OK | A48 | 0.55
PA | A48 | 0.55
SC | A48 | 0.55
TX | A48 | 0.55
WI | A48 | 0.55
WV | A48 | 0.55
WY | A48 | 0.55
DE | A48 | 0.43
FL | A48 | 0.43
IA | A48 | 0.43
IN | A48 | 0.43
KY | A48 | 0.43
ME | A48 | 0.43
MI | A48 | 0.43
NC | A48 | 0.43
OH | A48 | 0.43
OR | A48 | 0.43
UT | A48 | 0.43
TN | A48 | 0.43
VT | A48 | 0.43
NV | A48 | 0.35
SD | A48 | 0.23
Spreadsheet: sara_shackleton__36606__ECTI and ENA Credit trades 31 Dec 01
Sheet: ENA (part)

ENA Corp (part) | company 1095
Assets | $m |  | Liabilities | $m
Ace Capital O/Seas |  |  | ECL (1353) - trading positions
Fsa Inc |  |  | Citibank
[NAME] |  |  | Continental
Ace Capital FinProd |  |  | CSFB International
Swiss Re |  |  | EEL (14E) - intercompany funding | -158869.38
 |  |  | UBS
 |  |  | Deutsche Bank
 |  |  | First Union National Bank
 |  |  | ENA (364) - intercompany funding | -3530
Total |  |  | Total
1095 is an accounting entity of 364
Spreadsheet: 685138d1593759505-difficulties-using-solver-for-staff-schedule-complicated-criteria-set-schedule2-hydr-
Sheet: Constraints(SR)

Count of Skill
SR
 |  | Employee
Date | Week | [NAME] | [NAME] | Ayisha | [NAME] | Kaitlin | Jayme | [NAME] | [NAME] | Felix | [NAME] | Casual1 | Casual2 | Casual3 | Casual4 | Casual5
must be <= target | Total
 | Target
 | Trained
Spreadsheet: 698813d1602185222-tracking-duplicates-across-multiple-columns-cca_repair
Sheet: Sheet1

Part Num | Name | Current Serial Num | Repaired? | New Serial Num
CCA1 | Circuit Card | 3B2 | Y | 3N7
CCA1 | Circuit Card | 3N7 | Y | 4RB
CCA1 | Circuit Card | 4RB | Y | 5B8
Spreadsheet: 795668d1662832252-how-to-alternating-stack-a-range-into-a-column-alternatingly-per-stack-eight-column-into-one
Sheet: Sheet1

Source data-1 |  |  |  |  |  |  |  | Source data-2 |  |  |  |  |  |  |  | Source data-3
A |  | B |  |  |  | C |  | I |  |  | J | K
D |  | E |  |  |  | F |  | L |  |  | M | N
 |  | G |  |  |  | H |  | O |  |  | P
 | Desired Output
 | Source data-1 | Source data-2 | Source data-3 | Source data-4
 | A | I
 | B | J
 | C | K
 | D | L
 | E | M
 | F | N
 | G | O
 | H | P
Spreadsheet: 858888d1707392819-help-sumif-multiple-tabs-example2
Sheet: February

Name | NHS | 1st | 2nd | 3rd | Seen | Comments |  |  | Month Summary
Name 13
Name 14
Name 15 |  |  |  |  |  |  |  |  | Done Totals
Name 16 |  |  |  |  |  |  |  |  | Outstanding Totals
Name 17
Name 18
Name 19
Name 20
Name 21
Name 22
Name 23
Name 24
Spreadsheet: 786369d1657134747-help-with-racing-sheet-book1
Sheet: Sheet1

Driver | Lap time 1 | Lap time 2
Driver 1 | 01:29:00 | 05:10:30
Driver 2 | 02:29:00 | 01:10:30
Driver 3 | 03:29:00 | 02:10:30
Driver 4 | 04:29:00 | 03:10:30
Driver 5 | 05:29:00 | 04:10:30
Driver 6 | 06:29:00 | 05:10:30
Driver 7 | 07:29:00 | 06:10:30
Driver 8 | 08:29:00 | 07:10:30
Driver 9 | 09:29:00 | 08:10:30
Spreadsheet: 542670d1507993288-help-with-dropdown-list-answer_help-with-dropdown-list-question_003
Sheet: PAGE 2

FOOD
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CHINESE STEW, ONE HUNDRED YEAR OLD EGG
CHINESE STEW, SICHUAN EARTHWORMS WITH CARROT
[NAME], SWALLOW'S NEST
COCKTAIL, BLACK MAMBA 120
COCKTAIL, BLACK MAMBA 121
COCKTAIL, BLACK MAMBA 122
COCKTAIL, BLOODY MARY
COCKTAIL, NAIL IN THE COFFIN
COCKTAIL, WHITE RUSSIA No 9
CREAM, DRAGON EYES A LA BOURGOGNE
CREAM, DRAGON EYES IN CHOCO
FAVA
HOT CHILI HOMBRE LOBO A LA TRANSILVANIA
HOT SHOT KARTOFFELN MIT BIER UND WURST
ICE, HOT BONGO ELECTRICO ESKIMO No 5
ICE, HOT BONGO ELECTRICO ESKIMO No 6
ICE, HOT BONGO ELECTRICO ESKIMO No 7
ICE, RAMBLING MARIPOSITA
ICE, [NAME]
ICE, WARM PALOMITA WITH SEAFOOD
[NAME]
MOUSSAKA
PASTA A LA HASTA LA VISTA BABE No 1
PASTA A LA HASTA LA VISTA BABE No 2
PASTA A LA HASTA LA VISTA BABE No 3
PUDDING, BANANA PUDDING
PUDDING, FURY OLD-FASHIONED BREAD PUDDING
PUDDING, SCARY JOHN BEAN
PUDDING, SPOTTED DICK
SPAGHETTI WESTERN 345
SPAGHETTI WESTERN 346
SPAGHETTI WESTERN 347
TARAMASALATA
TZATZIKI