tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 889360d1740155355-creating-a-dynamic-table-from-a-pivot-from-google-sheets-pgt-aol-dashboard
Sheet: Data sheet 

 |  |  |  |  |  | https://docs.google.com/spreadsheets/d/1B37SHd5uy7eYHqXEHv3kxP8myBMIRjrUoVjCTTeupIk/edit?gid=54982496
 |  |  |  |  |  | https://docs.google.com/spreadsheets/d/1FXsN_7aoJSGmPbWQQdbewT3C1B363aEvsqFW3FHzfkw/edit?gid=54982496
 |  |  |  |  |  | https://docs.google.com/spreadsheets/d/1iqMT1dKx7uSeLlgxSw7pDceBJQj4e5sJCVQF99t2bbg/edit?gid=54982496
 |  |  |  |  |  | https://docs.google.com/spreadsheets/d/1y-8o4-wwDYYici3J6gqU4wjyJA6lsGI2D5P_tWE1za4/edit?gid=54982496
 |  |  |  |  |  | https://docs.google.com/spreadsheets/d/1iOlGUIa-e2Tg07ADHZQ6MMl2T6OIwi4vzB3z3KT2x_U/edit?gid=[PHONE]
 |  |  |  |  |  | https://docs.google.com/spreadsheets/d/1ukZclxqiR6uX4vazxSnpFULwsDYn4J8di_sPrc9Cfgg/edit?gid=[PHONE]
 |  |  |  |  |  | https://docs.google.com/spreadsheets/d/18Sv2gzrD6Fv-UHzTUl6v3eBD_9aQRyN08LbbXl1ym9Q/edit?gid=[PHONE]
 |  |  |  |  |  | https://docs.google.com/spreadsheets/d/10GRe5pK0ZAHEZizBYF9mrCHigkHTffayXLvevYTvbtA/edit?gid=[PHONE]
 |  |  |  |  |  | https://docs.google.com/spreadsheets/d/1tyb3DwUQHetdEqoMy3k-IaC5Ilgb7iK6kHCAk4SDTdM/edit?gid=[PHONE]
 |  |  |  |  |  | https://docs.google.com/spreadsheets/d/1Gpr8vJyQevkQt9LlizZGd7T4fDLTc5r9861E47_gFr8/edit?gid=[PHONE]
 |  |  |  |  |  | https://docs.google.com/spreadsheets/d/1DwMWkGhyQmM-GodUpcBEBID5-4kEFTw5Rf1a9Jaqbko/edit?gid=[PHONE]
 |  |  |  |  |  | https://docs.google.com/spreadsheets/d/1763ZpmQJWat7lFqVFE0ZvDQp8ST9gmzBjhFhoAUr6s0/edit?gid=[PHONE]
Spreadsheet: 873911d1720516753-help-please-not-sure-what-formulas-to-use-book1
Sheet: Sheet1

Team 1 | Team 2 | Team 3 | Team 4 | Team 5 | Team 6 |  |  | Name | Team name |  | Value | Attribute
A | f | j | p | u | x |  |  | a | in this column lookup from table so that if I change the name a team has it changes here also |  | A | 1
b | g | k | q | v | y |  |  | b | eg move "c" from team 1 to team 5 in table  should auto update team name in this column |  | b | 1
c | h | l | r | w | z |  |  | c | 1 |  | c | 1
d | i | m | s |  | aa |  |  | d | 1 |  | d | 1
e |  | n | t |  | bb |  |  | e | 1 |  | e | 1
 |  | o |  |  |  |  |  | f | 2 |  | f | 2
 |  |  |  |  |  |  |  | g | 2 |  | g | 2
 |  |  |  |  |  |  |  | h | 2 |  | h | 2
 |  |  |  |  |  |  |  | i | 2 |  | i | 2
 |  |  |  |  |  |  |  | j | 3 |  | j | 3
 |  |  |  |  |  |  |  | k | 3 |  | k | 3
 |  |  |  |  |  |  |  | l | 3 |  | l | 3
 |  |  |  |  |  |  |  | m | 3 |  | m | 3
 |  |  |  |  |  |  |  | n | 3 |  | n | 3
 |  |  |  |  |  |  |  | o | 3 |  | o | 3
 |  |  |  |  |  |  |  | p | 4 |  | p | 4
 |  |  |  |  |  |  |  | q | 4 |  | q | 4
 |  |  |  |  |  |  |  | r | 4 |  | r | 4
 |  |  |  |  |  |  |  | s | 4 |  | s | 4
 |  |  |  |  |  |  |  | t | 4 |  | t | 4
 |  |  |  |  |  |  |  | u |  |  | u | 5
 |  |  |  |  |  |  |  | v |  |  | v | 5
 |  |  |  |  |  |  |  | w |  |  | w | 5
 |  |  |  |  |  |  |  | x |  |  | aa | 6
 |  |  |  |  |  |  |  | y |  |  | bb | 6
 |  |  |  |  |  |  |  | z |  |  | x | 6
 |  |  |  |  |  |  |  | aa |  |  | y | 6
 |  |  |  |  |  |  |  | bb |  |  | z | 6
 |  |  |  |  |  |  |  | cc
 |  |  |  |  |  |  |  | dd
Spreadsheet: 52481d1252254513-selecting-multiple-data-to-copy-throughout-worksheet-checkmark
Sheet: Sheet1

Names | Check | Data1 | Data2 | Data3 | Data4
AA |  | 1 | 101 | 201 | 301
BB | x | 2 | 102 | 202 | 302
CC |  | 3 | 103 | 203 | 303
DD |  | 4 | 104 | 204 | 304
EE | x | 5 | 105 | 205 | 305
FF |  | 6 | 106 | 206 | 306
GG |  | 7 | 107 | 207 | 307
HH | x | 8 | 108 | 208 | 308
JJ |  | 9 | 109 | 209 | 309
II | x | 10 | 110 | 210 | 310
KK |  | 11 | 111 | 211 | 311
LL |  | 12 | 112 | 212 | 312
MM |  | 13 | 113 | 213 | 313
NN |  | 14 | 114 | 214 | 314
OO | x | 15 | 115 | 215 | 315
PP |  | 16 | 116 | 216 | 316
QQ | x | 17 | 117 | 217 | 317
RR |  | 18 | 118 | 218 | 318
SS |  | 19 | 119 | 219 | 319
TT |  | 20 | 120 | 220 | 320
UU |  | 21 | 121 | 221 | 321
VV | x | 22 | 122 | 222 | 322
WW |  | 23 | 123 | 223 | 323
YY |  | 24 | 124 | 224 | 324
ZZ | x | 25 | 125 | 225 | 325
Names checked in B2:B26 | 2nd Check | Data1 | Data2 | Data3 | Data4
BB | x | 2 | 102 | 202 | 302
EE |  | 5 | 105 | 205 | 305
HH | x | 8 | 108 | 208 | 308
II |  | 10 | 110 | 210 | 310
OO | x | 15 | 115 | 215 | 315
QQ |  | 17 | 117 | 217 | 317
VV | x | 22 | 122 | 222 | 322
ZZ |  | 25 | 125 | 225 | 325
#N/A
#N/A
#N/A
#N/A
#N/A
#N/A
#N/A
#N/A
#N/A
#N/A
#N/A
#N/A
#N/A
#N/A
#N/A
#N/A
#N/A
Names checked in B29:B54 | Data1 | Data2 | Data3 | Data4
BB | 2 | 102 | 202 | 302
HH | 8 | 108 | 208 | 308
OO | 15 | 115 | 215 | 315
VV | 22 | 122 | 222 | 322
#N/A
#N/A
#N/A
#N/A
#N/A
#N/A
#N/A
#N/A
#N/A
#N/A
#N/A
#N/A
#N/A
#N/A
#N/A
#N/A
#N/A
#N/A
#N/A
#N/A
#N/A
Spreadsheet: 688317d1595705640-find-value-according-to-multiple-criteria-warp-planning-sheet
Sheet: Sheet1

WARP PLANING
 |  | 2020-07-13 00:00:00 | DAY | NIGHT
 |  |  | WARP CUT | WARP CUT
LOOM NO | CURRENT WARP | PENDING MTRS | ON | ON | MATERIAL TO BE IN HOUSE BY -7 DAYS | MATERIAL TO BE PURCHASED ON -3 DAYS | NEXT WARP ORDERED
3
4
5
6
7
8
9
10
13
14
15
16
Spreadsheet: 840605d1692860979-if-and-or-statement-with-multiple-condition-if-multiple-cond
Sheet: Sheet1

Onhand Value | SVC PARTS | Total Res | Aging
110.7 | YES |  | A.0-3M
200 | NO |  | C.6-9M | [NAME] supposed to be 0
400 | YES |  | E.1-3Y
500 | YES |  | A.0-3M
100 | YES |  | E.1-3Y
600 | NO |  | F.>3Y | C7 supposed to be 0
400 | YES |  | E.1-3Y
200 | YES |  | B.3-6M
100 | YES |  | F.>3Y
Spreadsheet: 00b27eb0-08b6-47b4-820b-7e9bc21f43fd
Sheet: Calories

Day | Total Calories | Total [NAME]  of Fat | Fat  Calories * | % of Calories  (Fat to Total Calories)
Breakfast
Bowl of Cornflakes with 2% milk | 172 | 2.45
8 oz. glass of 2% milk | 121 | 4.68
1 banana | 105 | 0.55
Lunch
Bowl of Chili | 350 | 6.8
2 slices of sourdough bread | 175 | 2.5
1 orange | 90 | 1.5
Dinner
Dinner salad with ranch dressing | 420 | 2.95
1 banana | 105 | 0.55
* Fat Calories = Total Grams of Fat multiplied by 9.
Spreadsheet: 762828d1641839122-sumifs-criteria-matching-between-tables-help
Sheet: Resource

Last Name | First Name | Name
Adams | [NAME] | [NAME]
Berry | [NAME] | [NAME]
[NAME] | [NAME] | [NAME]
[NAME] | [NAME] | [NAME]
[NAME] | Lotus | Lotus [NAME]
Chaplin | [NAME] | [NAME]
[NAME] | Salvador | [NAME]
Davies | Fred | Fred Davies
Dunbar | Emile | Emile Dunbar
[NAME] | Philleas | [NAME]
[NAME] | [NAME] | [NAME]
[NAME] | [NAME] | [NAME]
Inparticular | Nobody | Nobody Inparticular
Jagger | Mick | [NAME]
[NAME] | [NAME] | [NAME]
Jones | [NAME] | [NAME]
[NAME] | Captain | Captain [NAME]
Lumber | [NAME] | [NAME]
[NAME] | Windy | [NAME]
[NAME] | [NAME] | [NAME]
Prefect | Ford | Ford Prefect
Rumpole | Horace | Horace Rumpole
Scroodge | [NAME] | [NAME]
[NAME] | Isla | Isla Skye
Smith | [NAME] | [NAME]
Smithers | Carol | [NAME]
TBC | TBC | TBC
Thompson | [NAME] | [NAME]
[NAME] | [NAME] | [NAME]
[NAME] | [NAME] | [NAME]
Wilson | [NAME] | [NAME]
Wood | [NAME] | [NAME]
Spreadsheet: 79048d1279278827-disappearing-info-advanced-filters-running-down-the-page-with-macro-new-cost-centre-system-forumex
Sheet: Q1310

Cost Centre
Cost Centre | Activity Code | Party Id | Name | Service Start | Service End | Frequency | Rate | Provider | A / B |  |  |  |  |  | Cost Centre | Activity Code | Party Id | Name | Service Start | Service End | Frequency | Rate | Provider | A / B |  |  |  |  |  | Cost Centre | Activity Code | Party Id | Name | Service Start | Service End | Frequency | Rate | Provider | A / B |  |  |  |  |  | Cost Centre | Activity Code | Party Id | Name | Service Start | Service End | Frequency | Rate | Provider | A / B
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1001 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1002 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1003
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Cost Centre | Activity Code | Party Id | Name | Service Start | Service End | Frequency | Rate | Provider | A / B |  |  |  |  |  | Cost Centre | Activity Code | Party Id | Name | Service Start | Service End | Frequency | Rate | Provider | A / B |  |  |  |  |  | Cost Centre | Activity Code | Party Id | Name | Service Start | Service End | Frequency | Rate | Provider | A / B
Spreadsheet: 694409d1599588420-lookup-first-match-corresponding-to-any-combination-of-values-from-multiple-criteria-lists-2020-09-08-oeldere-markbleking-694371d1599572831-lookup-first-match-corresponding-to-any-comb
Sheet: Oeldere

Table 1 |  |  |  |  |  |  |  |  |  | Table 2 |  | Table3 |  | Table 4 |  |  |  | Table 5
Data_1 | Data_2 | Data_3 | Date | Time | RESULT | T4 | T2 | T3 |  | Criteria for Data_2 |  | Criteria for Data_3 |  | Criteria for Data_1 | Table_1[Date+Time] from first match with Table_4[Data_1]*Table_3[Data_3]*Table_2[Data_2] in Table_1 |  |  | Matched row | Matched Data_2 | Matched Data_3 | Matched Date | Matched Time
Red | Boat | No | 2020-06-11 00:00:00 | 14:10:34 |  |  |  |  |  | Boat |  | No |  | Red |  |  |  |  | Boat | No | 2020-06-11 00:00:00 | 14:10:34
White | Helicopter | No | 2020-06-11 00:00:00 | 14:11:53 |  |  |  |  |  | Car |  |  |  | White |  |  |  |  | Boat | No | 2020-06-19 00:00:00 | 16:20:17
Blue | Tanks | No | 2020-06-11 00:00:00 | 21:26:42 |  |  |  |  |  | Train |  |  |  | Blue |  |  |  |  | Car | No | 2020-06-19 00:00:00 | 16:20:21
Green | Bicycle | No | 2020-06-11 00:00:00 | 14:12:19 |  |  |  |  |  |  |  |  |  | Green |  |  |  |  | Car | No | 2020-06-11 00:00:00 | 21:26:24
Yellow | Space shuttle | No | 2020-06-11 00:00:00 | 16:55:54 |  |  |  |  |  |  |  |  |  | Yellow |  |  |  |  | Boat | No | 2020-06-11 00:00:00 | 14:10:25
Orange | Helicopter | No | 2020-06-11 00:00:00 | 21:26:54 |  |  |  |  |  |  |  |  |  | Orange |  |  |  |  | Boat | No | 2020-06-11 00:00:00 | 19:11:47
Purple | Tanks | Yes | 2020-06-19 00:00:00 | 11:37:12 |  |  |  |  |  |  |  |  |  | Purple |  |  |  |  | Car | No | 2020-06-11 00:00:00 | 14:09:11
[NAME] | Bicycle | No | 2020-06-30 00:00:00 | 07:32:38 |  |  |  |  |  |  |  |  |  | [NAME] |  |  |  |  | Train | No | 2020-06-11 00:00:00 | 19:11:53
Black | Space shuttle | No | 2020-06-19 00:00:00 | 16:20:09 |  |  |  |  |  |  |  |  |  | Black |  |  |  |  | Boat | No | 2020-06-11 00:00:00 | 14:10:30
Red | Car | No | 2020-06-19 00:00:00 | 16:20:13
White | Boat | No | 2020-06-19 00:00:00 | 16:20:17
Blue | Car | No | 2020-06-19 00:00:00 | 16:20:21
Green | Train | Yes | 2020-06-11 00:00:00 | 21:31:58
Yellow | Airplane | No | 2020-06-11 00:00:00 | 21:32:01
Orange | Boat | No | 2020-06-11 00:00:00 | 19:11:47
Purple | Car | No | 2020-06-11 00:00:00 | 14:09:11
[NAME] | Train | No | 2020-06-11 00:00:00 | 19:11:53
Black | Boat | Yes | 2020-06-11 00:00:00 | 14:09:13
Red | Helicopter | No | 2020-06-11 00:00:00 | 19:11:56
White | Tanks | No | 2020-06-11 00:00:00 | 19:12:59
Blue | Train | Yes | 2020-06-11 00:00:00 | 14:10:15
Green | Car | No | 2020-06-11 00:00:00 | 21:26:24
Yellow | Boat | No | 2020-06-11 00:00:00 | 14:10:25
Orange | Airplane | No | 2020-06-11 00:00:00 | 19:13:07
Purple | Bicycle | No | 2020-06-11 00:00:00 | 14:10:27
[NAME] | Airplane | No | 2020-06-11 00:00:00 | 19:13:09
Black | Boat | No | 2020-06-11 00:00:00 | 14:10:30
Spreadsheet: 98190d1297202584-frequency-in-array-question-yesnomaybe
Sheet: Sheet1

Criteria | Val | Ans
1000 | 1000 | Yes
 | 2000 | Maybe |  |  |  |  |  |  |  |  | Val | 1000
 | 3000 | No
 | 2000 | Yes |  |  | Count of Val | Column Labels |  |  |  |  | Row Labels | Count of Ans
 | 2000 | No |  |  | Row Labels | Yes | No | Maybe | Grand Total |  | Yes | 10
 | 1000 | Maybe |  |  | 1000 | 10 | 7 | 24 | 41 |  | No | 7
 | 3000 | Yes |  |  | 2000 | 13 | 13 | 5 | 31 |  | Maybe | 24
 | 1000 | No |  |  | 3000 | 7 | 13 | 9 | 29 |  | Grand Total | 41
 | 1000 | Maybe |  |  | Grand Total | 30 | 33 | 38 | 101
 | 3000 | Yes
 | 2000 | No
 | 1000 | No
 | 2000 | Maybe
 | 3000 | Yes
 | 2000 | Yes
 | 2000 | No
 | 1000 | No
 | 1000 | Maybe
 | 1000 | Maybe
 | 2000 | Yes
 | 1000 | Yes
 | 3000 | No
 | 2000 | Yes
 | 1000 | Maybe
 | 3000 | Yes
 | 1000 | Yes
 | 1000 | Maybe
 | 1000 | Maybe
 | 1000 | Yes
 | 3000 | Maybe
 | 2000 | Yes
 | 2000 | Yes
 | 2000 | Maybe
 | 2000 | Yes
 | 3000 | No
 | 3000 | No
 | 2000 | No
 | 1000 | Maybe
 | 2000 | Maybe
 | 3000 | Yes
 | 1000 | Maybe
 | 2000 | No
 | 3000 | Maybe
 | 1000 | Maybe
 | 3000 | No
 | 2000 | No
 | 1000 | Maybe
 | 1000 | Yes
 | 1000 | Yes
 | 3000 | No
 | 2000 | No
 | 2000 | Maybe
 | 3000 | No
 | 3000 | Maybe
 | 2000 | No
 | 3000 | No
 | 1000 | Maybe
 | 3000 | Maybe
 | 3000 | Maybe
 | 3000 | No
 | 1000 | No
 | 1000 | Yes
 | 2000 | No
 | 1000 | Maybe
 | 1000 | Maybe
 | 1000 | No
 | 3000 | Yes
 | 1000 | Maybe
 | 1000 | Maybe
 | 1000 | Maybe
 | 2000 | Yes
 | 1000 | Maybe
 | 3000 | Maybe
 | 1000 | Maybe
 | 3000 | No
 | 1000 | Maybe
 | 2000 | No
 | 1000 | Maybe
 | 3000 | Maybe
 | 2000 | Yes
 | 2000 | No
 | 2000 | Yes
 | 1000 | Maybe
 | 2000 | Yes
 | 2000 | No
 | 1000 | Yes
 | 1000 | Maybe
 | 2000 | Yes
 | 3000 | Maybe
 | 1000 | No
 | 1000 | Yes
 | 2000 | Yes
 | 3000 | No
 | 3000 | No
 | 1000 | No
 | 3000 | No
 | 1000 | Yes
 | 2000 | No
 | 3000 | Yes
 | 3000 | Maybe
 | 1000 | Maybe
Spreadsheet: 863372d1710874201-calculating-weighted-averages-slightly-differently-daily-completion
Sheet: BASIC

 | Activity | % Complete | Weight | Weighted Score
 | physical | 100 | 2
 | emotional | 100 | 2
 | financial | 0 | 1
 | professional | 0 | 1
 |  | Daily score
Spreadsheet: 788287d1658385474-lookup-multiple-values-and-get-data-in-sort-order-material-master-views
Sheet: Expected

SL.No. | Views Maintained | Details without Sorting | Details with Sorting
1 | KCVEDALSBG | Basic Data, Classification, Sales, Purchasing, MRP, Work Scheduling, Storage, Warehouse Management, Accounting, Costing | Basic Data, Classification, Sales, Purchasing, MRP, Work Scheduling, Storage, Warehouse Management, Accounting, Costing
2 | KCVEDALSBGP | Basic Data, Classification, Sales, Purchasing, MRP, Work Scheduling, Storage, Warehouse Management, Accounting, Costing, Forecasting | Basic Data, Classification, Sales, Purchasing, MRP, Forecasting, Work Scheduling, Storage, Warehouse Management, Accounting, Costing
3 | KCVEDALSBGPQ | Basic Data, Classification, Sales, Purchasing, MRP, Work Scheduling, Storage, Warehouse Management, Accounting, Costing, Forecasting, Quality Management | Basic Data, Classification, Sales, Purchasing, MRP, Forecasting, Work Scheduling, Storage, Warehouse Management, Quality Management, Accounting, Costing
4 | KDALBVGCES | Basic Data, MRP, Work Scheduling, Storage, Accounting, Sales, Costing, Classification, Purchasing, Warehouse Management | Basic Data, Classification, Sales, Purchasing, MRP, Work Scheduling, Storage, Warehouse Management, Accounting,  Costing
5 | KDALSBGCVE | Basic Data, MRP, Work Scheduling, Storage, Warehouse Management, Accounting, Costing, Classification, Sales, Purchasing | Basic Data, Classification, Sales, Purchasing, MRP, Work Scheduling, Storage, Warehouse Management, Accounting, Costing
6 | KDELBSVCGA | Basic Data, MRP, Purchasing, Storage, Accounting, Warehouse Management, Sales, Classification, Costing, Work Scheduling | Basic Data, Classification, Sales, Purchasing, MRP, Work Scheduling, Storage, Warehouse Management, Accounting, Costing
7 | KEDLSBGCVA | Basic Data, Purchasing, MRP, Storage, Warehouse Management, Accounting, Costing, Classification, Sales, Work Scheduling | Basic Data, Classification, Sales, Purchasing, MRP, Work Scheduling, Storage, Warehouse Management, Accounting, Costing
8 | KVEDALBGS | Basic Data, Sales, Purchasing, MRP, Work Scheduling, Storage, Accounting, Costing, Warehouse Management | Basic Data, Sales, Purchasing, MRP, Work Scheduling, Storage, Warehouse Management, Accounting, Costing
9 | KVEDALBGS | Basic Data, Sales, Purchasing, MRP, Work Scheduling, Storage, Accounting, Costing, Warehouse Management | Basic Data, Sales, Purchasing, MRP, Work Scheduling, Storage, Warehouse Management, Accounting, Costing
Spreadsheet: 1ec9c15f-94ac-48e9-af8d-c4bf358dd093
Sheet: Sheet1

Table 8--Wheat: U.S. exports and imports for last 6 months (1,000 bushels), 11/13/2013 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7
Item |  | Mar | Apr | May | Jun | Jul | Aug
 |  | 2013 | 2013 | 2013 | 2013 | 2013 | 2013
Exports | All wheat grain | 101784.6774569142 | 108878.3782226721 | 96400.3671393 | 98174.2427442 | 113730.7660156395 | 141037.7664389379
 | All wheat flour 1/ | 927.6449420258741 | 784.5696578630073 | 1506.364152113746 | 1622.921824750377 | 985.9022381977416 | 846.0790623810732
 | All wheat products 2/ | 851.2603597636167 | 655.5098454025245 | 703.5848607696048 | 926.6511846120924 | 532.9832316937241 | 656.0760618717815
 | Total all wheat | 103563.5827587037 | 110318.4577259376 | 98610.31615218335 | 100723.8157535625 | 115249.651485531 | 142539.9215631908
Imports | All wheat grain | 6464.327187870301 | 8629.374349041602 | 7688.868935185202 | 8104.316833584301 | 9516.3671935542 | 9502.3332680325
 | All wheat flour 1/ | 848.3643600054846 | 913.8840685517608 | 1018.977928692414 | 875.3245756787854 | 926.7364401814459 | 960.0195126759529
 | All wheat products 2/ | 1562.69362688873 | 1679.918761203055 | 1533.626103252883 | 1416.099877051121 | 1612.2931750596 | 1609.329597170276
 | Total all wheat | 8875.385174764517 | 11223.17717879642 | 10241.4729671305 | 10395.74128631421 | 12055.39680879525 | 12071.68237787873
Totals may not add due to rounding. [NAME] in grain-equivalent bushels. Includes meal, groats, and durum. 2/ Expressed in grain-equivalent bushels. Includes bulgur, couscous, and selected categories of pasta. Source: U.S. Department of Commerce, U.S. Census Bureau, Foreign Trade Statistics; and ERS calculations using Census trade statistics.
Date run: 11/12/2013
Spreadsheet: 3805a569-1d63-46d7-9ede-4420023be46e
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | TIB-The Independent BankersBank | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | .25 cost to Price to Waive Escrows | Unnamed: 7
 |  | 350 [NAME]., [NAME] |  |  |  | LTV must be 80% or less to qualify.
 |  | [PHONE] Toll Free//[PHONE] fax
 |  | Rate Sheet Effective: |  |  | 2013-11-14 09:28:31.170000
Product: Conv-Conforming Fixed Rate 30 Year |  |  |  |  |  | Loan Level Price Adjustment
Rate | 15 Day | 30 Day | 45 Day | 60 Day |  | Price adjustments are cumulative
4.875 | 102.5 | 102.375 | 102.25 | 101.875 |  | and are added to price quote
4.75 | 102.472 | 102.347 | 102.222 | 101.847
4.625 | 102.267 | 102.142 | 102.017 | 101.642 |  | Note: | Refer To Price [NAME]
4.5 | 101.393 | 101.268 | 101.143 | 100.768 |  |  | For all Price Adjs
4.375 | 100.459 | 100.334 | 100.209 | 99.584
4.25 | 99.842 | 99.717 | 99.592 | 98.967
4.125 | 99.05 | 98.925 | 98.8 | 98.175
4 | 98.063 | 97.938 | 97.813 | 97.188
3.875 | 97.036 | 96.911 | 96.786 | 96.161 |  | Please note availability of
 |  |  |  |  |  | TIB Servicing Retained Product
 |  |  |  |  |  | For Conventional Loans Only.
 |  |  |  |  |  | A .25 adjustment to SRP
 |  |  |  |  |  | Will apply.
Product: Conv-Conforming Fixed Rate 15 Year
Rate | 15 Day | 30 Day | 45 Day | 60 Day
3.875 | 102.5 | 102.375 | 102.25 | 101.875
3.75 | 102.238 | 102.113 | 101.988 | 101.613
3.625 | 101.856 | 101.731 | 101.606 | 101.231
3.5 | 101.302 | 101.177 | 101.052 | 100.677
3.375 | 100.581 | 100.456 | 100.331 | 99.706
3.25 | 99.824 | 99.699 | 99.574 | 98.949
3.125 | 98.738 | 98.613 | 98.488 | 97.863 |  | Minimum loan amount:
 |  |  |  |  |  | TIB does not have a minimum loan
 |  |  |  |  |  | loan amount, however a 1.00% price
 |  |  |  |  |  | discount will apply to loan amounts
 |  |  |  |  |  | less than $39,999.00
 |  |  |  |  |  | 2010 Conforming Loan Limits
 |  |  |  |  |  | 1 Unit-$417,000
 |  |  |  |  |  | 2 Unit-$533,850
 |  |  |  |  |  | 3 Unit-$645,300
 |  |  |  |  |  | 4 Unit-$801,950
A SERVICE RELEASE PREMIUM WILL BE PAID IN [NAME] WITH THE ATTACHED SCHEDULE.
 |  | TIB-The Independent BankersBank
 |  | 350 [NAME]., [NAME]
 |  | [PHONE] Toll Free//[PHONE] fax
 |  | Rate Sheet Effective:
 |  |  |  |  |  | Loan Level Price Adjustment
Rate | 15 Day | 30 Day | 45 Day |  |  | Price adjustments are cumulative
 |  |  |  |  |  | & adj. Made to the price quote
EXPIRATION DATES:
15 DAY | 2013-11-28 09:28:31.170000
30 DAY | 2013-12-13 09:28:31.170000
45 DAY | 2013-12-28 09:28:31.170000
60 DAY | 2014-01-12 09:28:31.170000
90 DAY | 2014-02-11 09:28:31.170000
A SERVICE RELEASE PREMIUM WILL BE PAID IN [NAME] WITH THE ATTACHED SCHEDULE.
Spreadsheet: 168112d1342218530-a-formula-that-can-calculate-bulk-orders-bulk-pricing-tommywat-oeldere-
Sheet: Customers

Customer Name | Regular Customer | [NAME] Member | Discount
[NAME] |  | X | C | 0.7
[NAME] | X |  | R | 0.8
[NAME] | X | X | B | 0.6
Moe |  |  | N | 1
Spreadsheet: cb624a9b-5ef0-45e9-b6c2-cc7fab5408e3
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
FFTIL | Test | FFTIL | [NAME] | [NAME] | ImmunoCAP FEIA |  |  |  | 0.5 | mL | Draw blood in a plain, red-top tube(s), serum gel tube(s) is acceptable. Spin down and send 0.5 mL of serum refrigerated in a plastic vial. | 0.5 mL | Hemolysis:	NA Thawing:	Warm OK; Cold OK Lipemia:	Mild OK; Gross reject Icterus:	NA Other:	NA | <[NAME]/L   Test Performed by: Viracor-IBT Laboratories                              1001 NW Technology Dr.                              Lee's Summit, MO 64086 | Monday through Friday | 1 - 2 days | 3 - 5 days | 1 | 86003 |  |  |  |  | Viracor-IBT Laboratories
FFTIL | [NAME] | SERUM | Serum |  |  |  | Refrigerated | 28 days
FFTIL | Result | Z3116 | [NAME] | [NAME] | Alphanumeric |  |  |  |  |  |  |  |  |  |  |  |  |  |  | In Process
FFTIL | Result | Z3117 | Class | Class | Alphanumeric |  |  |  |  |  |  |  |  |  |  |  |  |  |  | In Process
Spreadsheet: 772024d1646973602-different-grading-how-to-book2
Sheet: Sheet1

 |  |  | Grade
 |  | Extra-Curricular Subjects | A+ | A | A- | [NAME] | B | B- | C+ | C | C- | D
 | 1 | Music | 96.66666666666667 | 93.33333333333334 | 90 | 86.66666666666667 | 83.33333333333333 | 80 | 76.66666666666667 | 73.33333333333333 | 70 | <70
 | 2 | Coding | 95.55555555555556 | 91.11111111111111 | 86.66666666666667 | 82.22222222222223 | 77.77777777777777 | 73.33333333333333 | 68.88888888888889 | 64.44444444444444 | 60 | <60
 | 3 | Futsal | 97.77777777777777 | 95.55555555555556 | 93.33333333333333 | 91.11111111111111 | 88.88888888888889 | 86.66666666666667 | 84.44444444444444 | 82.22222222222223 | 80 | <80
 | 4 | Badminton | 96.11111111111111 | 92.22222222222223 | 88.33333333333333 | 84.44444444444444 | 80.55555555555556 | 76.66666666666667 | 72.77777777777777 | 68.88888888888889 | 65 | <65
 |  |  | Extra-Curricular Subject
 |  | Student name |  | Score | Grade
 | 1 | [NAME] | Coding | 85
 | 2 | Tiffany Mary | Music | 92
 | 3 | [NAME] | Futsal | 95
 | 4 | [NAME] | Music | 84
 | 5 | [NAME] | Coding | 90
Spreadsheet: 715960d1611935419-index-match-and-sumifs-sample-data
Sheet: Analysis

Deck
Officer
 | Department A | Department B
Salary
Leave
Expenses
Deck
Rating
 | Department A | Department B
Salary
Leave
Expenses
Engine
Officer
 | Department A | Department B
Salary
Leave
Expenses
Engine
Rating
 | Department A | Department B
Salary
Leave
Expenses