tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 200573d1355653541-compare-both-sheet-data-and-find-the-difference-master-data
Sheet: Difference

Employees Master List
Employee Number | Full Name | Remarks | Nationality | Religion | Start Date | Job Name | Grade | Division | Organization | Location Code | [NAME] | Payroll Name | Employee Category | Contract Status | Housing Type | Transport Type | Food Type | Mobile Entitlement | Supplement Entitlement | Schooling Entitlement | Salary | Housing Allowance | Transportation Allowance | Food Allowance | Mobile Allowance | Supplement Allowance | Service Period | Actual Termination Date | Leaving Reason | Probation Period | Probation Unit | Statuary Information | Employment Status
2512 | HARTHI | Deletion | Saudi Arabia | - | 2008-08-25 00:00:00 | SECURITY GUARD | 6 | SECURITY | SECURITY | JED | DAVE | Staff Payroll | Local - Fulltime Worker | Single-Two Years | Monthly Allowance | Monthly Allowance | No | No | No | No | 2700 | 675 | 500 | 0 | 0 | 0 | 4.26 |  |  |  |  | ABC | CURRENT
2503 | TONSI | Addition | Saudi Arabia | - | 2012-11-01 00:00:00 | SPECIALIST | 7 | [NAME] | [NAME] | JED | TOM | Staff Payroll | Local - Fulltime Worker | M1-Open | Monthly Allowance | Monthly Allowance | No | Yes | No | No | 4400 | 1100 | 750 | 0 | 150 | 0 | 0.3 |  |  |  |  | ABC | CURRENT
 | Result of addition/deletion
Spreadsheet: 135372d1325979926-help-autofilling-on-amazing-spreadsheet-i-have-created-boostrosterprojectionv6
Sheet: Sheet1

 | 06:00:00 | 0.25 | 0.2708333333333333 | 0.2916666666666667 | 0.3125 | 0.3333333333333333 | 0.3541666666666667 | 0.375 | 0.3958333333333333 | 0.4166666666666667 | 0.4375 | 0.4583333333333333 | 0.4791666666666667 | 0.5 | 0.5208333333333334 | 0.5416666666666666 | 0.5625 | 0.5833333333333334 | 0.6041666666666666 | 0.625 | 0.6458333333333334 | 0.6666666666666666 | 0.6875 | 0.7083333333333334 | 0.7291666666666666 | 0.75 | 0.7708333333333334 | 0.7916666666666666 | 0.8125 | 0.8333333333333334 | 0.8541666666666666 | 0.875 | 0.8958333333333334 | 0.9166666666666666
 | 06:30:00 | 0.2708333333333333
 | 07:00:00 | 0.2916666666666667
 | 07:30:00 | 0.3125
 | 08:00:00 | 0.3333333333333333
 | 8:30 an | 0.3541666666666667
 | cat | 0.375
 | 09:30:00 | 0.3958333333333333
 | 10:00:00 | 0.4166666666666667
 | 10:30:00 | 0.4375
 | 11:00:00 | 0.4583333333333333
 | 11:30:00 | 0.4791666666666667
 | 12:00:00 | 0.5
 | 12:30:00 | 0.5208333333333334
 | 13:00:00 | 0.5416666666666666
 | 13:30:00 | 0.5625
 | 14:00:00 | 0.5833333333333334
 | 14:30:00 | 0.6041666666666666
 | 15:00:00 | 0.625
 | 15:30:00 | 0.6458333333333334
 | 16:00:00 | 0.6666666666666666
 | 16:30:00 | 0.6875
 | 17:00:00 | 0.7083333333333334
 | 17:30:00 | 0.7291666666666666
 | 18:00:00 | 0.75
 | 18:30:00 | 0.7708333333333334
 | 19:00:00 | 0.7916666666666666
 | 19:30:00 | 0.8125
 | 20:00:00 | 0.8333333333333334
 | 20:30:00 | 0.8541666666666666
 | 21:00:00 | 0.875
 | 21:30:00 | 0.8958333333333334
 | 22:00:00 | 0.9166666666666666
 | .
Spreadsheet: 817347d1676158326-formula-to-calculate-teacher-noncontact-time-entitlement-ftte-calculator-10-day-cycle-master
Sheet: FTTE Calculator

Personalised FTTE  Calculator
Name:
Date:
 | Week A |  |  |  |  | Week B |  |  |  |  | Total Contact Time per 5 Day Cycle | Total Noncontact Time per 5 Day Cycle | Total Contract + Noncontact Time per 5 Day Cycle | FTTE
 | Day 1 Mon | Day 2 [NAME] | Day 3 Weds | Day 4 Thurs | Day 5 Fri | Day 6 Mon | Day 7 [NAME] | Day 8 Weds | Day 9 Thurs | Day 10 Fri
Period 1 | 60 | 60 | 60 | 60 |  |  | 60 | 60 | 60
Period 2 |  | 60 | 60 | 60 | 60 |  |  | 60 | 60 | 60
Period 3 |  |  | 60 | 60 | 60 | 60 |  |  | 60
Period 4 | 60 |  |  | 60 | 60 | 60 | 60 |  | 60 | 60
Period 5 | 60 | 60 |  |  | 60 | 60 | 60 | 60
Total (Hours & Minutes) |  |  |  |  |  |  |  |  |  |  |  | 04:00:00
Spreadsheet: 152525d1335425380-delimited-numbers-sample-for-delimited
Sheet: Sheet1

Input | After Delimited |  |  |  |  |  |  |  | Out put
14540 | 1 | 4 | 5 | 4 | 0 |  |  |  |  |  | 1 | 4 | 5 | 4 | 0
442 | 4 | 4 | 2 |  |  |  |  |  |  |  |  |  | 4 | 4 | 2
5000 | 5 | 0 | 0 | 0 |  |  |  |  |  |  |  | 5 | 0 | 0 | 0
742000 | 7 | 4 | 2 | 0 | 0 | 0 |  |  |  | 7 | 4 | 2 | 0 | 0 | 0
8 |  |  |  |  |  | 8 |  |  |  |  |  |  |  |  | 8
8712546 | 8 | 7 | 1 | 2 | 5 | 4 | 6 |  | 8 | 7 | 1 | 2 | 5 | 4 | 6
Spreadsheet: 64324d1265196298-sum-multiple-values-for-months-dummy
Sheet: Summary

 | 2012-01-01 00:00:00 | 2012-02-01 00:00:00 | 2012-03-01 00:00:00 | 2012-04-01 00:00:00 | 2012-05-01 00:00:00 | 2012-06-01 00:00:00 | 2012-07-01 00:00:00 | 2012-08-01 00:00:00 | 2012-09-01 00:00:00 | 2012-10-01 00:00:00 | 2012-11-01 00:00:00 | 2012-12-01 00:00:00 | Totals
 | £ | £ | £ | £ | £ | £ | £ | £ | £ | £ | £ | £ | £
E101 |  |  |  |  |  | SUM OF ALL E101 NUMBERS IN JUNE
E102 |  |  |  |  |  |  | SUM OF ALL e102 NUMBERS IN JULY
E103
E104
E105
E101
E107
E108
E109
E110
E111
E112
E113
E114
E115
 |  |  |  |  |  |  |  |  |  |  |  |  | 0
Spreadsheet: 56469d1256657040-counting-blanks-based-on-criteria-in-another-column-book1
Sheet: Sheet1

[NAME] | Mr | K | [NAME] | [EMAIL] |  | Total missing e-mails | 4
[NAME] | Mrs | S | [NAME] | [EMAIL]
[NAME] | Mrs | J | [NAME] | [EMAIL] |  | Write name: | [NAME]
[NAME] | Mr | T | [NAME] | [EMAIL] |  | Missing e-mails: | 3
[NAME] | Mrs | S | Lyons | [EMAIL]
[NAME] | Miss | S | Goodall | [EMAIL]
[NAME] | Mrs | N | Standing | [EMAIL]
[NAME] | Mr | M | Jones | [EMAIL]
[NAME] | Mr | A | Nikolov
[NAME] | Mr | P | Halpin | [EMAIL]
[NAME] | Miss | R | Tariq
[NAME] | Ms | J | [NAME]
[NAME] | Miss | E | Egbuna
[NAME] | Mr | T | Branch | [EMAIL]
[NAME] | Mrs | R | [NAME] | [EMAIL]
[NAME] | Mr | M | Oakley | [EMAIL]
Spreadsheet: 705068d1605870299-search-for-keywords-in-a-string-and-return-a-value-example
Sheet: Vertaaltabel

[NAME] | Type
Elitebook 840 G5 | Elitebook 840 G5
Elitebook 850 G5 | Elitebook 850 G5
Inspiron 15 | Inspiron 15
iPad | iPad
iPad Pro | iPad Pro
Latitude 3590 | Latitude 3590
Latitude 5490 | Latitude 5490
Latitude 5580 | Latitude 5580
Latitude E7310 | Latitude 7310
[NAME]" | Macbook PRO (13-inch)
[NAME] | Probook 650 G5
Precision 3430 | Precision 3430
Probook 640 G2 | Probook 640 G2
Surface Pro 7 | Surface Pro 7
Spreadsheet: 151178d1334823556-vlookup-problem-including-n-a-new-take-off-sheet-test
Sheet: Take-off

 | Project
 | CRM | 2440
 | Equipment |  |  |  |  | HFBallastControl | Sensors | EcolinxLCM |  | Sensors | Timeclocks | TouchScreens
 | Drawing Number | Revision | Level |  |  | DDBC300-DALI | DUS804C | DBC905W |  | DUS804RJ | DTCE602 | DTP170-WALLBOX
 | xxxxx | xx | xxx |  |  | 1 | 34 | 5 |  | 12 | 1 | 2
 | xxxxx | xx | xxx |  |  | 1 | 23 | 4 |  | 33 |  | 1
 | xxxxx | xx | xxx |  |  | 1 | 34 | 7 |  | 22
 | xxxxx | xx | xxx |  |  | 1 | 13 | 4 |  | 35 |  | 1
 | xxxxx | xx | xxx |  |  | 1 | 45 | 3 |  | 25
 | xxxxx | xx | xxx |  |  | 1 | 21 | 2 |  | 27
 | xxxxx | xx | xxx |  |  | 1 | 54 | 6 |  | 27
 | xxxxx | xx | xxx |  |  | 1 | 17 | 7 |  | 12
 | xxxxx | xx | xxx |  |  |  |  | 4
 | Totals
 | Equipment
 | Drawing Number | Revision | Level
 | Totals
 |  | Days |  | Product Code | Part Number | Quantity | Trade Price
 | Configuration & Programming | 0 |  |  | =if(isna)(VLOOKUP(E32,Data!A:C,2,0)),"",vlookup(E32,Data!A:C,2,0)
 | Separate Training | 0
 | Applications | 1
 | Other Engineering | 0
 | [NAME] (Y/N)
 | [NAME] (Y/N)
 | DALI emergency feedback (Y/N)
 | Dynalite non-DALI commissioning | 0
 | Dynalite DALI commissioning | 0
 | Total Days
 | Total Cost
 | Total Sell
 | DALI calculator
 | No. of ballasts | 0
 | No. of universes | 0
 |  |  |  | Total Equipment Sell Price
 |  |  |  |  |  |  |  |  |  | Product Code | Quantity | Product Code | Quantity | Product Code | Quantity | Product Code | Quantity
 |  |  |  |  |  |  |  |  |  | Power |  | Power |  | Power |  | Power
Spreadsheet: 723709d1615846567-how-to-display-named-range-in-the-formula-based-result-shahab47-book5
Sheet: TASK#2

0 | apple |  | Left hand side table is data. It is assigned named range "MY_TABLE"
1 | ball |  | below table is another set of data. It is assigned named range "MY_CITY"
2 | cat |  | AA | san jose
3 | dog |  | BB | san francisco
4 | egg |  | CC | dallas
5 | frog |  | DD | napa
6 | goat |  | EE | [NAME]
user input | Need formula to generate below output
1 |  | NOTES : if user any number from MY_TABLE, then the formula should display "named range" followed by "_" followed by "data corresponding to that number from the above table"
2
AA
BB
Spreadsheet: 770013d1645780665-n-a-error-with-complex-nested-offset-functions-s1_my-file
Sheet: half hourly data

Arithmetic mean from 11/02/2022 at  12:56:26 to 14/02/2022  08:26:26 - Half an hour data - sample interval 3,20 min
 | cDAQ3Mod1/ai0 | cDAQ3Mod1/ai11 | cDAQ3Mod2/ai0
Time | Indoor Thermocouple  [°C] | Outdoor Thermocouple [°C] | Heat Flux Sensor [V] |  | TIMESTAMP | Indoor Thermocouple  [°C] | Outdoor Thermocouple [°C] | Heat Flux Sensor [V]
00:00:00
00:30:00
01:00:00
01:30:00
02:00:00
02:30:00
03:00:00
03:30:00
04:00:00
04:30:00
05:00:00
05:30:00
06:00:00
06:30:00
07:00:00
07:30:00
08:00:00
08:30:00
09:00:00
09:30:00
10:00:00
10:30:00
11:00:00
11:30:00
12:00:00
12:30:00
13:00:00
13:30:00
14:00:00
14:30:00
15:00:00
15:30:00
16:00:00
16:30:00
17:00:00
17:30:00
18:00:00
18:30:00
19:00:00
19:30:00
20:00:00
20:30:00
21:00:00
21:30:00
22:00:00
22:30:00
23:00:00
23:30:00
1900-01-01 00:00:00
1900-01-01 00:30:00
1900-01-01 01:00:00
1900-01-01 01:30:00
1900-01-01 02:00:00
1900-01-01 02:30:00
1900-01-01 03:00:00
1900-01-01 03:30:00
1900-01-01 04:00:00
1900-01-01 04:30:00
1900-01-01 05:00:00
1900-01-01 05:30:00
1900-01-01 06:00:00
1900-01-01 06:30:00
1900-01-01 07:00:00
1900-01-01 07:30:00
1900-01-01 08:00:00
1900-01-01 08:30:00
1900-01-01 09:00:00
1900-01-01 09:30:00
1900-01-01 10:00:00
1900-01-01 10:30:00
1900-01-01 11:00:00
1900-01-01 11:30:00
1900-01-01 12:00:00
1900-01-01 12:30:00
1900-01-01 13:00:00
1900-01-01 13:30:00
1900-01-01 14:00:00
1900-01-01 14:30:00
1900-01-01 15:00:00
1900-01-01 15:30:00
1900-01-01 16:00:00
1900-01-01 16:30:00
1900-01-01 17:00:00
1900-01-01 17:30:00
1900-01-01 18:00:00
1900-01-01 18:30:00
1900-01-01 19:00:00
1900-01-01 19:30:00
1900-01-01 20:00:00
1900-01-01 20:30:00
1900-01-01 21:00:00
1900-01-01 21:30:00
1900-01-01 22:00:00
1900-01-01 22:30:00
1900-01-01 23:00:00
1900-01-01 23:30:00
1900-01-02 00:00:00
1900-01-02 00:30:00
1900-01-02 01:00:00
1900-01-02 01:30:00
1900-01-02 02:00:00
1900-01-02 02:30:00
1900-01-02 03:00:00
1900-01-02 03:30:00
1900-01-02 04:00:00
1900-01-02 04:30:00
1900-01-02 05:00:00
1900-01-02 05:30:00
1900-01-02 06:00:00
1900-01-02 06:30:00
1900-01-02 07:00:00
1900-01-02 07:30:00
1900-01-02 08:00:00
1900-01-02 08:30:00
1900-01-02 09:00:00
1900-01-02 09:30:00
1900-01-02 10:00:00
1900-01-02 10:30:00
1900-01-02 11:00:00
1900-01-02 11:30:00
1900-01-02 12:00:00
1900-01-02 12:30:00
1900-01-02 13:00:00
1900-01-02 13:30:00
1900-01-02 14:00:00
1900-01-02 14:30:00
1900-01-02 15:00:00
1900-01-02 15:30:00
1900-01-02 16:00:00
1900-01-02 16:30:00
1900-01-02 17:00:00
1900-01-02 17:30:00
1900-01-02 18:00:00
1900-01-02 18:30:00
1900-01-02 19:00:00
1900-01-02 19:30:00
Spreadsheet: 92599d1292171709-displaying-current-day-inventory-in-report-inventory
Sheet: Report Sheet

Row Labels | Sum of 12/12/2010
16 oz Cup Lids (sleeves, 10 per box) | 50
16 oz Cups (box, 500 cups per box) | 50
24 oz Cups (box, 400 cups per box) | 50
[NAME] (Bag) | 50
[NAME] ([NAME], 5 per box) | 50
[NAME] (Bottles) | 50
[NAME] ([NAME], 4 jars per box) | 50
[NAME] (Bottles, 12 per box) | 50
Chocolate Powder ([NAME], 5 per box) | 50
[NAME]  (Bag) | 50
[NAME] (Bag) | 50
Cookies & Cream Powder ([NAME]) | 50
[NAME] (Bottles, 12 per box) | 50
Funfetti [NAME] (Box) | 50
[NAME] (Bottles, 12 per box) | 50
Instant Coffee (Jar) | 50
[NAME] ([NAME], 5 per box) | 50
[NAME] (Bottles) | 50
Milk ([NAME]) | 50
[NAME] (Bottles, 12 per box) | 50
[NAME] (Jar) | 50
[NAME] ([NAME], 4 per box) | 50
Pomegranate Powder ([NAME], 5 per box) | 50
[NAME] (Bottles, 12 per box) | 50
Pumpkin Syrup (Bottles, 12 per box) | 50
Spoons (per box, 1000 per box) | 50
[NAME] ([NAME], 5 per box) | 50
[NAME] (Bottles) | 50
[NAME] ([NAME], 5 per box) | 50
[NAME] ([NAME], 5 per box) | 50
White Chocolate Powder (per box) | 50
Grand Total | 1550
Spreadsheet: 1a9d885b-c6f1-4eb8-877f-487a7abb6426
Sheet: Sheet1

Battle ID | Date & Time | Side | Victory | Score | Opp. Score | Opp. ID | Opp. Name | Scenario ID | Front | Start Date | End Date | Name EN | Name FR
40869759 | 2014-04-06 15:58:57 | AXIS | 0 | 2 | 6 | 1357588 | [NAME] | 12493 | western | 1944-12-30 | 1944-12-30 | [NAME] | [NAME]
40883714 | 2014-04-07 11:54:59 | ALLIES | 0 | 4 | 6 | 1444438 | Lance H Papalia | 12496 | eastern | 1942-07-23 | 1942-08-08 | Battle of Kalatch | Bataille de Kalatch
40883893 | 2014-04-07 12:18:03 | AXIS | 1 | 6 | 2 | 1444438 | Lance H Papalia | 12496 | eastern | 1942-07-23 | 1942-08-08 | Battle of Kalatch | Bataille de Kalatch
Spreadsheet: 149299d1333818985-how-to-populate-cells-next-to-a-list-selection-meal-chart-example
Sheet: Meal 3

Measurement | Meal | Protein (grams) | Carbs (grams) | Fat (grams) | Calories
31 | Zero Carb Isopure
56 | [NAME]
32 | Optimum Casein
12 | NanoGreens
12 | NanoRed
3 | NOW Omega 3
 | Goal | 283 | 283 | 63 | 2825
 | Difference
Spreadsheet: 778756d1651296809-index-match-problem-2-index-match-sample-file
Sheet: BT

This is the worksheet INTO which I want to pull data using INDEX/Match
to come FROM the Combined worksheet
Account Source | Account Number | Bank Statement Order Number | Date
BT Investors Choice | 1026 |  | 2020-07-01 00:00:00
BT Investors Choice | 2180 | 1 | 2020-10-01 00:00:00
BT Investors Choice | 2180 | 2 | 2020-01-01 00:00:00
BT Investors Choice | 2180 | 3 | 2020-04-01 00:00:00
BT Investors Choice | 2180 | 4 | 2021-06-30 00:00:00
I am using the suggested formulae:
 |  | Expected Value
 |  | 1
 |  | 1
What am I doing incorrrectly in EACH formula?
Index |  | Expected Value
 |  | 0
 |  | 1
 |  | 2
 |  | 3
 |  | 4
 |  | Blank
Match |  | Expected Value
 |  | 0
 |  | 1
 |  | 2
 |  | 3
 |  | 4
 |  | Blank
 |  | Expected Value
 |  | 0
 |  | 1
 |  | 2
 |  | 3
 |  | 4
 |  | Blank
Spreadsheet: 68462d1269000379-how-can-i-filter-a-list-to-a-new-tab-excel-filter-companies
Sheet: Main sheet

I need to make a new list on seperate tabs for each of the companies in Col C, So that I can print showing only the lines for one company at a time, the new list should have no gaps as shown in the CTS tab
Date | Number | Company
2010-03-01 00:00:00 | 2013 | CTS
2010-03-02 00:00:00 | 2014 | CTS
2010-03-03 00:00:00 | 2015 | CTS
2010-03-18 00:00:00 | 2016 | CTS
2010-03-18 00:00:00 | 2019 | CTS
2010-03-19 00:00:00 | 2020 | CTS
2010-03-19 00:00:00 | 2021 | AAD
2010-03-19 00:00:00 | 2022 | AAD
2010-03-19 00:00:00 | 2023 | CCC
2010-03-19 00:00:00 | 2024 | CCC
2010-03-20 00:00:00 | 2025 | CTS
2010-03-21 00:00:00 | 2026 | CTS
Spreadsheet: 584602d1533286378-use-a-formula-instead-of-multiple-nested-if-statements-sample-book1
Sheet: Sheet1

 |  |  |  |  |  |  |  |  |  | Disc % | Disc Code | Supplier | Fixed Fee
 |  |  |  |  |  |  |  |  |  | 0.02 | Disc1 | A | 0.05
 |  |  |  |  |  |  |  |  |  | 0.04 | [NAME] | B | 0.1
 |  |  |  |  |  |  |  |  |  | 0.06 | Disc3 | C | 0.15
 |  |  |  |  |  |  |  |  |  | 0.08 | Disc4 | D | 0.2
 |  |  |  |  |  |  |  |  |  | 0.1 | Disc5 | E | 0.25
 |  |  | Supplier |  |  |  |  |  |  | 0.12 | [NAME] | F | 0.3
 |  |  | A
 |  |  | Disc Code
 | 1000 |  | Disc1
Spreadsheet: phillip_m_love__30649__9907_OA
Sheet: BUG_GL

ENRON CAPITAL & TRADE RESOURCES
OPERATIONAL ANALYSIS - ACTUALS
COMPANY:  ECTR (EGM)
REGION:  BUG
 |  |  | Total |  | Reclasses |  |  |  |  |  | September |  | October |  | November |  | December |  | January |  | February |  | March |  | April
 |  |  | Volume | $'s | Volume | $'s | Volume | $'s | Volume | $'s | Volume | $'s | Volume | $'s | Volume | $'s | Volume | $'s | Volume | $'s | Volume | $'s | Volume | $'s | Volume | $'s | Volume | $'s | Volume | $'s
 | Sales:
1 |  | 3rd Party / Inter Enron |  |  |  |  |  |  |  |  | 15110 | -348950 | -133 | -403 | 10252 | -294563
2 |  | Liquidations |  |  |  |  |  |  |  |  |  | 16908.8 |  |  |  | -16909
3 |  | Interdesk |  |  |  |  | 16101572 | 41121828 | 14943 | 35671 |  |  | 1938640 | 4676504 | 1938640 | 4676504 | -3892223 | -9388679
4 |  | Option Premiums
5 |  | Dmd Reimbursements |  |  |  |  |  | 0 |  | 0
 | Total Sales:
 | Purchases:
6 |  | 3rd Party / Inter Enron |  |  |  |  | -6719000 | -13738465 | 27118 | -2595152 | -4500 | -43029 |  |  |  | 183
7 |  | Liquidations
8 |  | Interdesk |  |  |  |  | -21579459 | -53470940 |  |  |  |  | -1938640 | -4676504 | -1938640 | -4676504 | 3877280 | 9353008
9 |  | Option Premiums
10 |  | [NAME]
 | Total Purchases:
 | Intra CTS (EGM / HPL / LRC):
11 |  | Sales |  |  |  |  |  |  |  |  | 319487 | 808319
12 |  | Purchases
 | Total Intra CTS Sales / Purchases
 | Imbalances:
13 |  | In Kind |  |  |  |  | 1363174 | 3088563 | -1363174 | -3088563
14 |  | Cash Out
15 |  | Cash In |  |  |  |  |  |  | 0 | 0
16 |  | Synthetic Storage
 | Total Imbalances:
 | Storage:
17 |  | Injection (Sales to Stg) |  |  |  |  | 1479157 | 3717635 | 41589 | 104535 |  |  | 3214 | 7916 |  |  | -49296 | -125569
18 |  | W/D (Purchase from Stg)
19 |  | Inventory Profit
 |  | Total W/D
 | Total Storage:
20 | Linepack:
21 | Shrinkage:
22 | UA4: |  |  |  |  |  |  |  | 1376523 | 3117825 | -330097 | -747670 | -3081 | -6978 | -10252 | -23221 | 64239 | 145501
23 | Fuel: |  |  |  |  |  | 0 | 0 | 0 | 0
 | Transport Expense: |  |  |  |  |  |  |  | 0
24 |  | Commodity |  |  |  |  |  |  |  |  |  |  |  |  | -1383
25 |  | Demand |  |  |  |  | 0 | -20775 |  | 0 |  | -251301 |  | -1802844 |  |  |  | 287775
 | Total Transport Expense:
 | Transport Revenue:
26 |  | Interstate |  |  |  |  |  | 54937 |  |  |  | -54933
27 |  | Intrastate
 | Total Transport Revenue:
 | Intra CTS (EGM / HPL / LRC):
28 |  | Transport Expense
29 |  | Transport Revenue
 | Total Intra CTS Transport
 | Tie Out Schedule Items:
 |  | MTM Income:
30 |  | Current Gross Book Balance |  |  |  |  |  |  |  | 0
31 |  | Prior Month Book Balance
 |  | Total MTM Income
32 |  | Prudency
33 |  | Financial Liquidations
34 |  | Originations
35 |  | Broker Fees
36 |  | Asset Group Demand Charges
37 |  | [NAME]
38 |  | Interdesk Charges
39 |  | Canada
40 |  | Miscellaneous
 |  | TOTAL
Spreadsheet: 769624d1645621756-combining-like-items-help-022322
Sheet: Wanted

 |  |  | Count Sheet
Select Row
New Cont | True |  |  |  |  |  |  |  |  |  |  | Data Mapping
Contact Load | True |  |  |  |  |  |  |  |  |  | Picture Link:
 |  |  | Item Number | 90771133 |  | Description | FLM, PNT BUTTER CREAM 10G |  |  |  | Contact Name | 4 |  | Address | 5
 |  |  | I-Spot (mm) | 63.5 |  | Full | 5 |  |  |  | City: | 6 |  | State: | 7
 |  |  | Stated Repeats | 982670 |  | Partial | 1 | Actual Repeats | 982680 |  | Phone #: | 9 |  | [NAME] | 8
Hide Row -> |  |  | E5 | H5 | E7 | H7 | H9 | E9 | M4
 |  |  | Number | Containers |  |  | Units per | Total per
 |  |  |  |  |  |  | Container | Pallet
 |  |  | 5 | 9 |  |  | 18897.6 | 170078.4
 |  |  | 1 | 6 |  |  | 18897.6 | 170078.4
 |  |  | 1 | 2 |  |  | 9451.2 | 170078.4
Spreadsheet: 762510d1641584777-lookup-multiple-criteria-multiple-results-excel-q
Sheet: P-12

DENVER - P 12 RTOU ( Nov 6-8 )
Zone | Trainee | Trainee GPID/Hire Date | RTO Trainer | Position | [NAME] | Room Nights
[NAME]
 | [NAME] |  | [NAME] | FTM | L | none
 | [NAME] |  | [NAME] | RSA | XL | none
 | [NAME] | 9/30/2018/ 80148474 | [NAME] | RSA    (T only) |  | none
 | [NAME] |  |  | RSA |  | none
Colorado Springs | [NAME]
[NAME] | [NAME] | 80151225 | [NAME] | CSS | XL | [NAME]
 | [NAME] | 80151244 | [NAME] | RSR | Med | Tues/Wed
 | [NAME] | 80152337 |  | CSS |  | Tues/Wed
 | [NAME] | TBD |  | RSR |  | Tues/Wed
Albuquerque
[NAME] | [NAME] | 80150400/Start Date 10/14/18 |  | [NAME] (No DOT) | Large | M, T, W
[NAME] | [NAME] | 80148195/Start Date 10/14/18 |  | RSA No DOT) | Large | M, T, W
Spreadsheet: 0c7907b7-2633-4165-9559-561941247716
Sheet: Sheet1

Table 5--U.S. and world fiber prices | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7
 | Jan. | Feb. | Mar. |  | Mar.
Item | 2014 | 2014 | 2014 |  | 2013
 | Cents per pound
Domestic cotton prices:
Adjusted world price | 69.1 | 71.86 | 74.29 |  | 72.92
Upland spot 41-34 | 81.43 | 83.21 | 86.7 |  | 82.8
Pima spot 02-46 | 178 | 178 | 178.86 |  | 124.65
Average price received by
upland producers | 76.9 | 79 | 80.3 |  | 77.5
Far Eastern cotton quotes:
A Index | 91.01 | 93.55 | 96.64 |  | 94.74
Memphis/Eastern | 94.6 | 96.5 | 100.56 |  | 97.06
Memphis/Orleans/Texas | 94.35 | 96.25 | 100.31 |  | 96.81
California/Arizona | 96.45 | 98.44 | 100.88 |  | 100
 |  | Dollars per pound
Wool prices (clean):
U.S. 56s | NQ | NQ | NQ |  | NQ
Australian 56s 1/ | 3.21 | 3.2 | 3.22 |  | 4
U.S. 60s | NQ | NQ | NQ |  | NQ |  | `
Australian 60s 1/ | 5.1 | 5 | 4.76 |  | 5.63
U.S. 64s | NQ | NQ | NQ |  | NQ
Australian 64s 1/ | 5.18 | 5.06 | 4.86 |  | 5.84
NQ = No quote.
1/  In bond, Charleston, SC.
Sources: USDA, Cotton Price Statistics; Cotlook Ltd., [NAME];
and trade reports.
Last update: 4/11/14.
Spreadsheet: 125256d1318947267-excel-2007-if-0-and-sumif-or-sumproduct-inventory-help
Sheet: Sheet2

Meat | Cooked | sum of Amount Ordered and Extra | Sum of Stock and Gone | Traffic
Chicken | BBQ | 20 | 33 | 2
Chicken | Fried | 21 | 24 | 2 |  | 3= green
Lamb | BBQ | 13 | 12 | 3 |  | 2= Yellow
Lamb | Roasted | 0 | 16
Beef | Baked | 25 | 16 | 3
Beef | BBQ | 14 | 0
Spreadsheet: 35066d1232572683-auto-sum-formula-adding-20stuff2-1-
Sheet: Sheet1

 |  |  | 1
 |  | 2 | 3
 |  | 3 | 6
 |  | 8 | 14
 |  | 6 | 20
 |  | 7 | 27
 |  | 5 | 32
 |  | 9 | 41
 |  | 6 | 47
 |  | 5 | 52
 |  | 8 | 60
 |  | 6 | 66
 |  | 7 | 73
 |  | 5 | 78
 |  | 9 | 87
 |  | 6 | 93
 |  | 5 | 98
Spreadsheet: 1cc4add6-6654-4d8b-9dba-e75af7fde4ce
Sheet: Sheet1

PROG ID | ATHLETE ID | ATHLETE FIRST | ATHLETE LAST | NATIONALITY | START NUMBER | SWIM | T1 | BIKE | T2 | RUN | POSITION | TOTAL TIME
3375 | 10171 | [NAME] | Bright | NZL | 0 |  |  |  |  |  | 1 | 1:53:48
3375 | 5598 | [NAME] | [NAME] | GBR | 0 |  |  |  |  |  | 2 | 1:55.06
3375 | 10331 | [NAME] | Manzan | BRA | 0 |  |  |  |  |  | 3 | 1:55:12
3375 | 5661 | [NAME] | [NAME] | AUS | 0 |  |  |  |  |  | 4
3375 | 18687 | [NAME] | Huldi | SUI | 0 |  |  |  |  |  | 5
3375 | 14257 | [NAME] | [NAME] | NED | 0 |  |  |  |  |  | 6
3375 | 18686 | [NAME] | Hufschmid | SUI | 0 |  |  |  |  |  | 7
3375 | 5715 | [NAME] | Hill | AUS | 0 |  |  |  |  |  | 8
3375 | 15883 | [NAME] | [NAME] | AUS | 0 |  |  |  |  |  | 9
3375 | 18688 | [NAME] | Ternan | GBR | 0 |  |  |  |  |  | 10
Spreadsheet: 822204d1679167705-repeated-number-in-string-s666-pq-repeated-number-in-string
Sheet: Sheet1

src |  | Index | AccNum | Note |  |  |  | [NAME]
NL15ABNA0123456789 |  | 0 | NL15ABNA0123456789
NL15ABNA0123451234 |  | 1 | NL15ABNA0123451234
NL15ABNA0123456789 |  | 2 | NL15ABNA0123456789
NL15ABNA0424456784 |  | 3 | NL15ABNA0424456784 | INVALID ACCOUNT NUMBER
NL15ABNA0123252782 |  | 4 | NL15ABNA0123252782 | INVALID ACCOUNT NUMBER
NL15ABNA0123252787 |  | 5 | NL15ABNA0123252787
NL15ABNA0333253332 |  | 6 | NL15ABNA0333253332 | INVALID ACCOUNT NUMBER
Spreadsheet: 158376d1338206224-depentent-fropdown-list-with-some-specifice-features-essameldin_dep_drop_down_list_28may12_01
Sheet: BOP3

BOP 3"
Tool No. | Bottom Connection | Top Connection | Pressure Rating | Cert. date
MWS 38628 | 5 3/4"-4 Otis pin/collar | 5 3/4"-4 Otis box | 10,000 Psi | 2012-01-22 00:00:00
MWS 38629 | 5 3/4"-4 Otis pin/collar | 5 3/4"-4 Otis box | 10,000 Psi | 2012-05-07 00:00:00
MWS 38630 | 5 3/4"-4 Otis pin/collar | 5 3/4"-4 Otis box | 10,000 Psi | 2012-01-22 00:00:00