tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 817993d1676545046-lookup-nth-instance-and-return-offset-cell-excel-eg-file
Sheet: Sheet1

 | Original Results |  |  |  |  | Required Results
 | [NAME]
 | Earned | From | Date |  |  |  | Earned | From | Date |  |  | Earned | From | Date
1 |  |  |  |  |  | 1 |  |  |  |  | 1 | 30 | [NAME] | 2022-08-04 18:43:36
2 |  |  |  |  |  | 2 |  |  |  |  | 2 | 25 | Bar | 2022-07-31 15:44:02
3 |  |  |  |  |  | 3 |  |  |  |  | 3 | 24 | MMZ | 2022-07-31 13:07:39
4 |  |  |  |  |  | 4 |  | ABC | 2022-07-31 13:47:26 |  | 4 | 20 | ABC | 2022-07-31 13:47:26
5 |  |  |  |  |  | 5 |  | SSW | 2022-07-31 13:49:28 |  | 5 | 20 | SSW | 2022-07-31 13:49:28
6 |  |  |  |  |  | 6 |  | SSW | 2022-07-31 13:50:07 |  | 6 | 20 | SSW | 2022-07-31 13:50:07
7 |  |  |  |  |  | 7 |  |  |  |  | 7 | 16 | e72 | 2022-08-02 13:24:31
8 |  |  |  |  |  | 8 |  |  |  |  | 8 | 15 | mke | 2022-08-05 15:29:42
9 |  |  |  |  |  | 9 |  | S86 | 2022-08-02 13:52:11 |  | 9 | 14 | S86 | 2022-08-02 13:52:11
10 |  |  |  |  |  | 10 |  | J13 | 2022-08-04 14:03:03 |  | 10 | 14 | J13 | 2022-08-04 14:03:03
11 |  |  |  |  |  | 11 |  | J33 | 2022-08-04 14:55:12 |  | 11 | 14 | J33 | 2022-08-04 14:55:12
12 |  |  |  |  |  | 12 |  | SSW | 2022-07-31 13:29:33 |  | 12 | 10 | SSW | 2022-07-31 13:29:33
13 |  |  |  |  |  | 13 |  | SSW | 2022-07-31 13:34:50 |  | 13 | 10 | SSW | 2022-07-31 13:34:50
14 |  |  |  |  |  | 14 |  | SSW | 2022-07-31 13:35:29 |  | 14 | 10 | SSW | 2022-07-31 13:35:29
15 |  |  |  |  |  | 15 |  | SSW | 2022-07-31 13:44:48 |  | 15 | 10 | SSW | 2022-07-31 13:44:48
16 |  |  |  |  |  | 16 |  | SSW | 2022-07-31 13:45:46 |  | 16 | 10 | SSW | 2022-07-31 13:45:46
17 |  |  |  |  |  | 17 |  | SSW | 2022-07-31 13:46:47 |  | 17 | 10 | SSW | 2022-07-31 13:46:47
18 |  |  |  |  |  | 18 |  | SSW | 2022-07-31 13:48:21 |  | 18 | 10 | SSW | 2022-07-31 13:48:21
19 |  |  |  |  |  | 19 |  | B77 | 2022-07-31 14:33:15 |  | 19 | 10 | B77 | 2022-07-31 14:33:15
20 |  |  |  |  |  | 20 |  | k85 | 2022-07-31 14:37:09 |  | 20 | 10 | k85 | 2022-07-31 14:37:09
21 |  |  |  |  |  | 21 |  | S23 | 2022-07-31 15:36:37 |  | 21 | 10 | S23 | 2022-07-31 15:36:37
22 |  |  |  |  |  | 22 |  | Bar | 2022-07-31 15:43:26 |  | 22 | 10 | Bar | 2022-07-31 15:43:26
23 |  |  |  |  |  | 23 |  | Bar | 2022-07-31 15:43:37 |  | 23 | 10 | Bar | 2022-07-31 15:43:37
24 |  |  |  |  |  | 24 |  | Bar | 2022-07-31 15:43:49 |  | 24 | 10 | Bar | 2022-07-31 15:43:49
25 |  |  |  |  |  | 25 |  | Bar | 2022-07-31 15:45:15 |  | 25 | 10 | Bar | 2022-07-31 15:45:15
26 |  |  |  |  |  | 26 |  | D34 | 2022-08-02 13:56:22 |  | 26 | 10 | D34 | 2022-08-02 13:56:22
27 |  |  |  |  |  | 27 |  | Ber | 2022-08-04 16:27:25 |  | 27 | 10 | Ber | 2022-08-04 16:27:25
28 |  |  |  |  |  | 28 |  | D10 | 2022-08-04 19:36:52 |  | 28 | 10 | D10 | 2022-08-04 19:36:52
29 |  |  |  |  |  | 29 |  | w21 | 2022-08-04 20:13:33 |  | 29 | 10 | w21 | 2022-08-04 20:13:33
30 |  |  |  |  |  | 30 |  | RIV | 2022-08-05 04:54:40 |  | 30 | 10 | [NAME] | 2022-08-05 13:42:12
Spreadsheet: 43609d1242248401-excel-2007-averageifs-function-averageifs-function-does-not-work
Sheet: Sheet1

 |  | -0.3277586411772763 |  |  | Trying to average the numbers in the list that fall between the upper and lower spec limits
 |  | 0.2945906092523446 |  |  | This should be easy but it is not working
 |  | -0.0194247055750288
 |  | -0.2693893883320396
 |  | -0.2238428239645047 |  |  | Limitation is that I cannot sort the list
 |  | 0.1973789830418929
 |  | -0.07575671769905509
 |  | 1.018454845457164
 |  | 0.3803223695383801
 |  | -0.3112276628083073 |  |  | AVERAGEIFS FUNCTION DOS NOT WORK
 |  | -0.07027386522197322
 |  | -0.06806858758776556
 |  | 0.2300950914139036
 |  | -0.1425768227623391
 |  | -0.5094349241491573
 |  | 1.018454845457164
LSL
USL
Spreadsheet: 116920d1312305760-selective-columns-farthingstone
Sheet: la

Leadbetter. [NAME] |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | HANDICAPPING
hole | par | stroke index | adjusted par | pts calc | [NAME] | strokes | points | PAR 3 | INDEX 1 | INDEX 2 | INDEX 3 | adjusted par | pts calc | [NAME] | points | handicap | handicap | handicap | catergory | Buffer Zone | css | Nett Differential | adjustment
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Nett | Nett
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | points | points
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0 | 18 | 36
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | par 3
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | sss | css adj | "RO"
in
out
total
Spreadsheet: 145216d1331383296-how-do-i-convert-quantities-into-a-numbered-sequence-with-format-to-hide-0
Sheet: Sheet1

345 | 5 | 1-5 | 1 | 5
346 | 2 | 6-7 | 6 | 7
347 | 3 | 8-10 | 8 | 10
348 | 0 | - | 11 | 10
349 | 4 | 11-14 | 11 | 14
350 | 1 | 15 | 15 | 15
351 | 0 | - | 16 | 15
352 | 2 | 16-17 | 16 | 17
352 | 1 | 18 | 18 | 18
353 | 4 | 19-22 | 19 | 22
Spreadsheet: 711268d1609580921-how-to-prevent-double-room-reservation-hi-rezerve001-ans
Sheet: VERI

room mr | name | cehck in | check out
11 | [NAME] | 2021-04-06 00:00:00 | 2021-04-10 00:00:00
11 | [NAME]
11 | carmen
12 | hans | 2021-04-07 00:00:00 | 2021-04-12 00:00:00
14 | rikard | 2021-04-06 00:00:00 | 2021-04-10 00:00:00
Spreadsheet: 0d2fd1c8-e6bc-4dc7-aa7d-475dbc27f3ef
Sheet: Sheet1

Weight needed achieve required Cheese PSI | Unnamed: 1 | Unnamed: 2
Target PSI | 3 | <----(Change this…..)
Mould  Diameter (in) | Mould Area (sqin) | [NAME] (lbs)
1 | 0.7853981633974483 | 2.356194490192345
2 | 3.141592653589793 | 9.42477796076938
3 | 7.068583470577035 | 21.2057504117311
4 | 12.56637061435917 | 37.69911184307752
5 | 19.63495408493621 | 58.90486225480862
6 | 28.27433388230814 | 84.82300164692441
7 | 38.48451000647496 | 115.4535300194249
8 | 50.26548245743669 | 150.7964473723101
9 | 63.61725123519331 | 190.8517537055799
10 | 78.53981633974483 | 235.6194490192345
11 | 95.03317777109125 | 285.0995333132738
12 | 113.0973355292326 | 339.2920065876976
13 | 132.7322896141688 | 398.1968688425063
14 | 153.9380400258999 | 461.8141200776996
15 | 176.7145867644259 | 530.1437602932776
16 | 201.0619298297468 | 603.1857894892403
17 | 226.9800692218625 | 680.9402076655876
18 | 254.4690049407732 | 763.4070148223198
19 | 283.5287369864788 | 850.5862109594364
20 | 314.1592653589793 | 942.4777960769379
21 | 346.3605900582747 | 1039.081770174824
22 | 380.132711084365 | 1140.398133253095
23 | 415.4756284372501 | 1246.42688531175
24 | 452.3893421169302 | 1357.168026350791
25 | 490.8738521234052 | 1472.621556370216
26 | 530.929158456675 | 1592.787475370025
27 | 572.5552611167398 | 1717.665783350219
28 | 615.7521601035994 | 1847.256480310798
29 | 660.519855417254 | 1981.559566251762
30 | 706.8583470577034 | 2120.575041173111
Spreadsheet: 185242d1349597017-using-max-ranges-and-match-to-reference-cells-to-3-highest-numbers-records
Sheet: Compilation

RECORD |  | 2012
 | OWNER | PLAYER | TEAM | POINTS | DATE
Most points by a team, game
Most points game, QB |  | Eli Manning | NYG | 50
 |  | Eli Manning | NYG | 44.2
 |  | [NAME] | ATL | 32.46
Most points game, RB |  | [NAME] | KC | 44.8
 |  | [NAME] | MIA | 41.7
 |  | [NAME] | JAC | 35.3
Most points game, WR |  | [NAME] | ATL | 38.9
 |  | Hakeem Nicks | NYG | 35.9
 |  | A.J. Green | CIN | 35.4
Most points game, TE |  | #N/A | #N/A | 19.3
 |  | #N/A | #N/A | 18.2
 |  | #N/A | #N/A | 17.2
Most points game, K |  | [NAME] | SF | 21
 |  | [NAME] | BUF | 21
 |  | [NAME] | DAL | 20
Most points game, DEF |  | Chicago | CHI | 26
Spreadsheet: 270751d1381624783-vlookup-type-function-see-if-string-has-key-if-it-does-give-value-excelforumvlookup-2013-10-12-20-37
Sheet: Sheet2

Merchants | Category
BED BATH & BEYOND | Furnishings/Appliances
CHEVRON | Fuel
[NAME]'S TEA | Other
DOTEASY | Freelance Work
DR PAUL WIGGINS | Doctor/Dentist
ESSO | Fuel
EVERGREEN COMPUTERS | Home Office
EXP RESTAURANT + BAR | Dining/Eating Out
FAMOUS PLAY | Movies/Theater
FUMIYOSHI | Dining/Eating Out
HELLY HANSEN | Clothing
[NAME] | Repairs
[NAME] | Other
LA PREP
Spreadsheet: 137489d1327156669-tranpose-transpose-to-right
Sheet: MAIN DATA

SOURCE | TARGET
ENNDANANDNGR1 | ENNDHANUMANG3
ENNDANANDNGR1 | ENNDANANDNGR3
ENNDANANDNGR1 | ENNDANANDNGR2
ENNDANANDNGR1 | ENNDIBSOGOPA2
ENNDANANDNGR1 | ENNDIBSOROY3
ENNDANANDNGR1 | ENNDIBSOGNHTL3
ENNDANANDNGR1 | ENNDIBSODRM3
ENNDANANDNGR1 | ENNDHANUMANG1
ENNDANANDNGR1 | ENNDCHINARWAR2
ENNDANANDNGR1 | ENNDIBSOGNHTL2
ENNDANANDNGR1 | ENNDVIPRD1
ENNDANANDNGR1 | ENNDIBSOROY4
ENNDANANDNGR1 | ENNDIBSOSHIVN3
ENNDANANDNGR1 | ENNDIBSOSHIVN4
ENNDANANDNGR1 | ENNDIBSOROY1
ENNDANANDNGR2 | ENNDIBSOGNHTL3
ENNDANANDNGR2 | ENNDANANDNGR1
ENNDANANDNGR2 | [NAME]
ENNDANANDNGR2 | ENNDIBSOVASNT3
ENNDANANDNGR2 | ENNDHANUMANG3
ENNDANANDNGR2 | ENNDIBSOGNHTL2
ENNDANANDNGR2 | ENNDIBSOANAND3
ENNDANANDNGR2 | ENNDANANDNGR3
ENNDANANDNGR2 | ENNDBAPANA3
ENNDANANDNGR2 | ENNDIBSOVASNT2
ENNDANANDNGR2 | ENNDHANUMANG1
ENNDANANDNGR2 | ENNDVIPRD1
ENNDANANDNGR2 | ENNDIBSOGNHTL1
ENNDANANDNGR3 | ENNDIBSOANAND2
ENNDANANDNGR3 | ENNDANANDNGR1
ENNDANANDNGR3 | ENNDIBSOGOPA2
ENNDANANDNGR3 | ENNDIBSOGNHTL3
ENNDANANDNGR3 | ENNDIBSOANAND3
ENNDANANDNGR3 | ENNDIBSOVASNT2
ENNDANANDNGR3 | ENNDCHINARWAR2
ENNDANANDNGR3 | ENNDANANDNGR2
ENNDANANDNGR3 | ENNDIBSOMANIK2
ENNDANANDNGR3 | ENNDVIPRD1
ENNDANANDNGR3 | ENNDRAJENDRA1
ENNDANANDNGR3 | ENNDIBSOANAND4
ENNDANANDNGR3 | [NAME]
ENNDANANDNGR3 | ENNDIBSOVASNT1
ENNDBAPANA1 | ENNDIBSOGNHTL2
ENNDBAPANA1 | [NAME]
ENNDBAPANA1 | ENNDBAPANA3
ENNDBAPANA1 | ENNDDEGLURNK3
ENNDBAPANA1 | ENNDIBSODATTA3
ENNDBAPANA1 | NRLYKAMTHA2
ENNDBAPANA1 | [NAME]
ENNDBAPANA1 | ENNDSAKTINGR1
ENNDBAPANA1 | ENNDDEGLURNK1
ENNDBAPANA1 | [NAME]
ENNDBAPANA1 | ENNDIBSOGNHTL1
ENNDBAPANA2 | ENNDIBSODATTA2
ENNDBAPANA2 | ENNDIBSODATTA3
ENNDBAPANA2 | ENNDVIPRD2
ENNDBAPANA2 | ENNDIBSOVSHU2
ENNDBAPANA2 | ENNDBAPANA1
ENNDBAPANA2 | ENNDIBSOYATR4
ENNDBAPANA2 | ENNDBAPANA3
Spreadsheet: 749353d1632753412-conditional-formatting-days-in-a-dynamic-calendar-calendar-sample
Sheet: Sheet1

 |  |  |  | 2021
 |  | January |  |  |  |  |  |  |  |  | February
 |  | 1900-01-01 00:00:00 |  |  |  |  |  |  |  |  | 1900-01-02 00:00:00
 | WEEK | SUN | MON | TUE | WED | THU | FRI | SAT |  | WEEK | SUN | MON | TUE | WED | THU | FRI | SAT
 |  |  | 2020-12-28 00:00:00 | 2020-12-29 00:00:00 | 2020-12-30 00:00:00 | 2020-12-31 00:00:00 | 2021-01-01 00:00:00 | 2021-01-02 00:00:00 |  |  |  | 2021-02-01 00:00:00 | 2021-02-02 00:00:00 | 2021-02-03 00:00:00 | 2021-02-04 00:00:00 | 2021-02-05 00:00:00 | 2021-02-06 00:00:00
 |  | 2021-01-03 00:00:00 | 2021-01-04 00:00:00 | 2021-01-05 00:00:00 | 2021-01-06 00:00:00 | 2021-01-07 00:00:00 | 2021-01-08 00:00:00 | 2021-01-09 00:00:00 |  |  | 2021-02-07 00:00:00 | 2021-02-08 00:00:00 | 2021-02-09 00:00:00 | 2021-02-10 00:00:00 | 2021-02-11 00:00:00 | 2021-02-12 00:00:00 | 2021-02-13 00:00:00
 |  | 2021-01-10 00:00:00 | 2021-01-11 00:00:00 | 2021-01-12 00:00:00 | 2021-01-13 00:00:00 | 2021-01-14 00:00:00 | 2021-01-15 00:00:00 | 2021-01-16 00:00:00 |  |  | 2021-02-14 00:00:00 | 2021-02-15 00:00:00 | 2021-02-16 00:00:00 | 2021-02-17 00:00:00 | 2021-02-18 00:00:00 | 2021-02-19 00:00:00 | 2021-02-20 00:00:00
 |  | 2021-01-17 00:00:00 | 2021-01-18 00:00:00 | 2021-01-19 00:00:00 | 2021-01-20 00:00:00 | 2021-01-21 00:00:00 | 2021-01-22 00:00:00 | 2021-01-23 00:00:00 |  |  | 2021-02-21 00:00:00 | 2021-02-22 00:00:00 | 2021-02-23 00:00:00 | 2021-02-24 00:00:00 | 2021-02-25 00:00:00 | 2021-02-26 00:00:00 | 2021-02-27 00:00:00
 |  | 2021-01-24 00:00:00 | 2021-01-25 00:00:00 | 2021-01-26 00:00:00 | 2021-01-27 00:00:00 | 2021-01-28 00:00:00 | 2021-01-29 00:00:00 | 2021-01-30 00:00:00 |  |  | 2021-02-28 00:00:00 | 2021-03-01 00:00:00 | 2021-03-02 00:00:00 | 2021-03-03 00:00:00 | 2021-03-04 00:00:00 | 2021-03-05 00:00:00 | 2021-03-06 00:00:00
 |  | 2021-01-31 00:00:00 | 2021-02-01 00:00:00 | 2021-02-02 00:00:00 | 2021-02-03 00:00:00 | 2021-02-04 00:00:00 | 2021-02-05 00:00:00 | 2021-02-06 00:00:00 |  |  | 2021-03-07 00:00:00 | 2021-03-08 00:00:00 | 2021-03-09 00:00:00 | 2021-03-10 00:00:00 | 2021-03-11 00:00:00 | 2021-03-12 00:00:00 | 2021-03-13 00:00:00
Spreadsheet: 0f1078c3-2dcb-4cc8-a27b-7cc7aeb453ba
Sheet: Sector Weights

GICS Sector | % of S&P 500 (by market capitalization %) | Lower Range | Upper Range | Average Range
Consumer Discretionary | 10.1 | 5.05 | 15.15 | 0.101
Consumer Staples | 11.5 | 5.75 | 17.25 | 0.115
Energy | 10.7 | 5.35 | 16.05 | 0.037
Financial | 16.3 | 8.15 | 24.45 | 0.163
Healthcare | 12.1 | 6.05 | 18.15 | 0.121
Industrials | 10.3 | 5.15 | 15.45 | 0.103
Information Technology | 18.8 | 9.4 | 28.2 | 0.188
Materials | 3.4 | 1.7 | 5.1 | 0.034
Telecommunications | 3 | 1.5 | 4.5 | 0.03
Utilities | 3.7 | 1.85 | 5.55 | 0.037
Spreadsheet: 183572d1348866380-n-blank-cells-between-cella-and-cellb-or-another-way-to-deterimine-if-soil-has-time-todry-rainfallsoilsheet
Sheet: Sheet1

DATE | Rainfall ("") | Days To Dry | Dry on This Day | Cumulative
2012-09-01 00:00:00 | 3 |  | Yes | 12
2012-09-08 00:00:00 | 1
2012-09-20 00:00:00 | 1
2012-09-26 00:00:00 | 2
Spreadsheet: 268479d1380651290-finding-total-for-individuals-by-monthly-tab-and-unit-counts-bsr-teams-2013
Sheet: Sep

Daily Locked & Funded Loans AS 09/30/2013
 | Wholesale |  |  |  | Correspondent
Account Executive | Daily Locked | Active Locked | Daily Funded | MTD Funded | Daily Locked | Active Locked | Daily Purchased | MTD Purchased
[NAME] | $747,000 (2) | $7,267,500 (21) | $868,750 (2) | $4,223,900 (13) | - | - | - | -
[NAME] | - | $6,071,450 (16) | $229,000 (1) | $7,454,250 (21) | - | - | - | -
[NAME] | $950,000 (1) | $4,926,150 (13) | $1,391,400 (3) | $5,115,500 (15) | $364,444 (1) | $364,444 (1) | - | -
[NAME] | $200,000 (1) | $5,351,750 (15) | - | $1,890,500 (5) | - | - | - | -
[NAME] | $365,000 (1) | $10,421,750 (25) | $1,315,500 (3) | $8,936,000 (24) | - | - | - | -
[NAME] | $417,000 (1) | $5,328,900 (14) | $232,000 (1) | $3,757,800 (9) | - | - | - | -
[NAME] | - | - | - | - | - | - | - | -
[NAME] | $810,000 (3) | $8,784,159 (29) | $548,000 (2) | $10,085,942 (34) | - | - | - | -
[NAME] | - | $8,263,200 (23) | $417,000 (1) | $2,414,750 (7) | - | - | - | -
[NAME] | $642,000 (2) | $21,527,400 (61) | $1,998,175 (4) | $24,863,043 (67) | - | $5,143,200 (15) | - | $5,698,500 (13)
[NAME] | $937,550 (2) | $5,629,100 (14) | $1,110,000 (3) | $5,841,150 (16) | - | - | - | -
Kris Varia | - | $6,328,050 (16) | - | $3,880,300 (10) | - | - | - | -
[NAME] | - | $5,336,250 (14) | $619,125 (3) | $11,186,775 (28) | - | - | - | -
[NAME] | $458,000 (2) | $605,000 (3) | - | - | $220,800 (1) | $220,800 (1) | - | -
[NAME] | - | $1,178,000 (4) | - | $687,155 (2) | - | - | - | -
[NAME] | - | - | - | - | - | - | - | -
[NAME] | $417,000 (1) | $8,011,100 (21) | $587,000 (2) | $9,909,650 (23) | - | - | - | -
[NAME] | - | $4,241,000 (11) | $413,000 (1) | $2,340,250 (6) | - | - | - | -
[NAME] | $436,800 (2) | $5,931,650 (20) | - | $4,260,000 (10) | - | - | - | -
Subtotal | $6,380,350 (18) | $115,202,409 (320) | $9,728,950 (26) | $106,846,965 (290) | $585,244 (2) | $5,728,444 (17) | - | $5,698,500 (13)
Daily HomeLending / Alan Locked & Funded Loans AS 09/30/2013
 | Retail |  |  |  | -
Account Executive | Daily Locked | Active Locked | Daily Funded | MTD Funded | - | - | - | -
[NAME] | - | - | - | $1,599,350 (3) | - | - | - | -
Subtotal | - | - | - | $1,599,350 (3) | - | - | - | -
Daily Locked & Funded Loans AS 09/30/2013
 | Wholesale / Retail |  |  |  | Correspondent
 | Daily Locked | Active Locked | Daily Funded | MTD Funded | Daily Locked | Active Locked | Daily Purchased | MTD Purchased
Total | $6,380,350 (18) | $115,202,409 (320) | $9,728,950 (26) | $108,446,315 (293) | $585,244 (2) | $5,728,444 (17) | - | $5,698,500 (13)
Spreadsheet: 874966d1721489685-combine-conditionnal-formatting-with-date-percentage-and-amount-halidat-book1-347-cf-aligw
Sheet: Data

Database USD | 2024-07-18 00:00:00 | 2024-07-19 00:00:00 | 2024-07-20 00:00:00
Ref. price : | 31400 | 30700 | 30800
0.7 | 15.4 | 15 | 15.1
0.69 | 15.1 | 14.7 | 14.8
0.68 | 14.9 | 14.5 | 14.6
0.67 | 14.6 | 14.2 | 14.3
0.66 | 14.3 | 13.9 | 14
0.65 | 14.1 | 13.7 | 13.8
0.64 | 13.8 | 13.4 | 13.5
0.63 | 13.5 | 13.1 | 13.2
0.62 | 13.2 | 12.8 | 12.9
0.61 | 12.9 | 12.5 | 12.6
0.6 | 12.6 | 12.2 | 12.3
Spreadsheet: d9df9c67-44ec-489d-b78a-db20e350d2a7
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
FGLIP | Test | FGLIP | Glipizide (Glucotrol) | Glipizide (Glucotrol) | High Performance Liquid Chromatography with Ultraviolet Detection (HPLC-UV) | Green-Top Tube (Sodium Heparin): GrnNaHp |  |  | 2 | mL | Submit only 1 of the following specimens:   Plasma Draw blood in a green-top (sodium heparin) tube(s).  ([NAME] is not acceptable.) Spin down and send 2  mL sodium heparin plasma refrigerated. Note:		1.  Indicate plasma on request form. 	2.  [NAME] specimen appropriately (plasma).                 	3. Trough levels are most reproducible.   Serum Draw blood in a plain, red-top tube(s).  (Serum gel tube is not acceptable.)  Spin down and send 2 mL of serum refrigerated. Note:		1. Indicate serum on request form. 	2. Label specimen appropriately (serum).                 	3. Trough levels are most reproducible. | 0.3 mL NOTE: Submission of the m | Specimens other than	Plasma, serum Anticoagulants other than	Sodium heparin, EDTA, plain red-top Hemolysis	NA Thawing	NA Lipemia	NA Icteric	NA | Reporting Limit:  80 ng/mL   Plasma insulin concentrations have been shown to increase only  when plasma glipizide concentrations exceeded 200 ng/mL.                                                     Toxic range has not been established.   Test Performed by: Medtox Laboratories, Inc.                                       402 W. County Road D                                       St. Paul, MN 55112 | Monday through Sunday | 7 days | 9 - 10 days | 1 | 82491 |  |  |  |  | Medtox Laboratories, Inc
FGLIP | Result | Z1180 | Glipizide | Glipizide | Alphanumeric |  |  |  |  | ng/mL |  |  |  |  |  |  |  |  |  | In Process
Spreadsheet: 02d1dae1-973a-43a7-8632-adf467bd0460
Sheet: CO

Table | Colombia |  | Latin America and the Caribbean
 | Grain | Root | Commercial | Food aid |  | Aggregate
Year | production | production | imports | receipts |  | availability
 |  | (grain equiv.) | (grains) | (grain equiv.) |  | of all food
 |  |  | ---1,000 tons ---
2002 | 3158.556 | 947.7154174576109 | 3693.664287 | 8.739813 |  | 12493.67668629701
2003 | 3707.871 | 1051.120438374214 | 3608.171135 | 9.024144 |  | 12773.7823684933
2004 | 3885.126 | 1032.076472365675 | 3566.966627 | 13.129447 |  | 13019.0140349106
2005 | 3478.128 | 966.0969190871265 | 4033.682279 | 14.07635 |  | 13051.56681748885
2006 | 3223.526 | 1081.762616374956 | 5081.13285 | 17.597285 |  | 13552.02239469226
2007 | 3443.365 | 1243.519563345746 | 5197.878831000001 | 18.157966 |  | 13819.72820894776
2008 | 3871.204 | 1109.720600312723 | 4541.017273 | 20.772979 |  | 14132.00719604041
2009 | 3918.936 | 1190.289903381905 | 4960.562906 | 15.270411 |  | 14269.09074831611
2010(e) | 3861 | 1124.258429933157 | 4945.685105240908 | 18.06711866666667 |  | 14389.99843434385
Projections |  |  |  | Food gaps*
 |  |  |  | NG | DG
2011 | 3862.374432106867 | 1137.060069390662 | 4685.457185793005 | 0 | 208.5335223334384 | 14254.3830320469
2016 | 4006.260433026817 | 1202.068198542098 | 5223.448027693846 | 0 | 155.4413723196963 | 15595.06600631765
2021 | 4139.270019457168 | 1268.767387386066 | 5487.811123803355 | 0 | 125.0184316718061 | 16727.97407523534
Source: Economic Research Service, using data from FAOSTAT (grain and root and tuber production and imports), and the World Food Program (food aid).
*NR stands for nutritional requirements and describes the amount of grain equivalent needed to support nutritional standards on
*NG stands for nutritional gap and describes the amount of grain equivalent needed to support nutritional standards on
income quintile to reach the nutrional requirement.
Spreadsheet: 525446d1498733250-is-it-possible-to-auto-update-a-worksheet-while-saving-data-on-another-worksheet-inv
Sheet: Due Date

 |  | Client Name | Service Date | Next Due on
 | 1 | Etihad | 2017-09-28 00:00:00 | 2017-10-28 00:00:00
 | 2
 | 3
 | 4
 | 5
 | 6
 | 7
 | 8
 | 9
 | 10
 | 11
 | 12
 | 13
 | 14
 | 15
 | 16
 | 17
 | 18
 | 19
 | 20
 | 21
 | 22
Spreadsheet: 36477d1234361412-moving-rows-to-anoter-worksheet-based-on-certain-criteria-kpi-1-
Sheet: Peter

Address Book Entry | Close Date | Number of Analyzers required | Total Capital | Annual Number of Cartridges | Annual Cartridge Revenue | Status | Confidence Rating | Revenue
Cairns Hospital | 2009-02-28 00:00:00 | 0 | 0 | 1000 | 6000 | New | 5 Very Confident | 6000
Hervey Bay Hospital | 2009-02-28 00:00:00 | 0 | 0 | 1000 | 6000 | New | 5 Very Confident | 6000
Mackay Hospital | 2009-02-28 00:00:00 | 0 | 0 | 1500 | 11250 | New | 5 Very Confident | 0
QHPS POC | 2009-03-30 00:00:00 | 0 | 0 | 0 | 60000 | New | 4 Confident | 60000
QHPS POC | 2009-03-30 00:00:00 | 0 | 0 | 7300 | 110000 | New | 5 Very Confident | 110000
Caboolture Hospital | 2009-06-30 00:00:00 | 1 | 6800 | 1000 | 6000 | Updated | 4 Confident | 12800
Cairns Base Hospital | 2009-06-30 00:00:00 | 1 | 0 | 500 | 5000 | Updated | 4 Confident | 13300
Chemtronics | 2009-06-30 00:00:00 | 1 | 0 | 500 | 2500 | Updated | 3 Uncertain | 9800
QHPS POC | 2009-11-30 00:00:00 | 0 | 0 | 5000 | 60000 | New | 3 Uncertain | 60000
 |  | 3 | 6800 |  | 266750 |  | 0 | 277900
 |  |  |  |  |  |  | 0
 |  |  |  |  |  |  | 2
 |  |  |  |  |  |  | 3 | 4
 |  |  |  |  |  |  | 4 | 2
 |  |  |  |  |  |  |  | 0
 |  |  |  |  |  |  |  | 2
 |  |  |  |  |  |  |  | 2
Spreadsheet: 69362d1269900641-split-a-cell-function-test
Sheet: February

February Photo Shoot Count - 2010
February |  | Ecomm | Selections | Newspaper | Public Relations | [NAME]. | Misc | Totals
1 |  | 10 |  |  |  |  | 100 selections | 10
2 |  | 17 |  | 6 |  |  |  | 23
3 |  | 6 |  | 16 |  |  |  | 22
4 |  | 35 |  |  |  |  |  | 35
5 |  | 10 |  |  |  |  |  | 10
6 |  |  |  |  |  |  |  | 0
7 |  |  |  |  |  |  |  | 0
8 |  | 14 |  |  |  | 6 |  | 20
9 |  | 11 |  |  |  |  |  | 11
10 |  |  |  | 5 |  |  | 6 paper  goods | 5
11 |  | 12 |  |  | 27 |  |  | 39
12 |  | 12 |  |  | 20 |  |  | 32
13 |  |  |  |  |  |  |  | 0
14 |  |  |  |  |  |  |  | 0
15 |  | 9 | 11 |  |  |  |  | 20
16 |  | 10 | 15 |  |  |  |  | 25
17 |  | 8 | 15 |  | 8 |  |  | 31
18 |  | 10 | 5 |  | 8 |  |  | 23
19 |  | 9 | 18 |  | 9 |  |  | 36
20 |  |  |  |  |  |  |  | 0
21 |  |  |  |  |  |  |  | 0
22 |  | 16 | 9 |  | 9 |  |  | 34
23 |  | 18 | 6 |  |  |  |  | 24
24 |  | 19 | 4 |  |  |  |  | 23
25 |  | 10 |  |  |  | 33 | 23 cards | 43
26 |  | 10 | 1 |  |  |  |  | 11
27 |  |  |  |  |  |  |  | 0
28 |  |  |  |  |  |  |  | 0
 |  |  |  |  |  |  |  | 0
 |  |  |  |  |  |  |  | 0
 |  |  |  |  |  |  |  | 0
Totals |  | 246 | 84 | 27 | 81 | 39 | 0
 |  |  |  |  |  |  | Month Total | 477
Spreadsheet: 800042d1665465613-how-to-search-for-lookup-find-sample
Sheet: Sheet1

Name | Lastname | Name, [NAME] | ID | < [NAME] to find ID
Apple | Tomato |  | ??
Lemon | [NAME] |  | ??
Orange | Lime |  | ??
Grapefruit | Blackberry |  | ??
Pomegranate | [NAME] |  | ??
Avocado | [NAME] |  | ??
Spreadsheet: 159715d1338824952-add-new-raws-without-changing-column-numbering-and-referenced-cells-sample1
Sheet: capacity

BUYER |  |  |  |  |  |  | ITEM
STYLE |  |  |  |  |  |  | NO OF WORKERS
 |  |  |  |  |  |  | TARGET
 |  |  |  | S/N
 |  |  |  | O/L
 |  |  |  | 3T O/L
 |  |  |  | 4T O/L
 |  |  |  | 5T O/L
 |  |  |  | F/L
 |  |  |  | PICOT
 |  |  |  | HEL
 |  |  |  | D/N
NO | OPERATOR | OPERATION |  | M/C | S.M.V | REQ | CYCLE TIME |  |  |  |  | RATING | AVG | CAPA |  | REQ | ALLOW | REQ EFF | TIME | ACT EFF |  | OP | PRO
 |  |  |  |  |  |  | 1 | 2 | 3 | 4 | 5 |  | CYCLE |  |  | MIN | MIN |  |  |  |  | NO
1
2
3
4
5
6
7
8
9 |  |  |  |  |  |  | 15 | 15 | 16 |  | 18
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
 |  |  | TOTAL