tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 215958d1361549236-multiple-column-formula-daddy_mode
Sheet: Sheet1

Date | Location | Weather | Temp | 1st | 2nd | 3rd | 4th | 5th | 6th | 7th | 8th | 9th | 10th
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Rider | Places
 |  |  |  | 10 | 6 | 3 | 22 | 72 | 48 | 67 | 16 | 48 | 20 |  | Most Placings
 |  |  |  | 2 | 5 | 11 | 72 | 6 | 17 | 4 | 98 | 20 | 63 |  | 2nd in Placings
 |  |  |  | 5 | 2 | 63 | 6 | 11 | 4 | 15 | 71 | 98 | 20 |  | 3rd in Placings
 |  |  |  | 8 | 11 | 10 | 63 | 67 | 4 | 98 | 20 | 16 | 48 |  | 4th in Placings
 |  |  |  | 11 | 2 | 5 | 23 | 8 | 6 | 20 | 4 | 12 | 17 |  | 5th in Palcings
 |  |  |  | 63 | 5 | 10 | 2 | 4 | 19 | 20 | 6 | 48 | 12 |  | 6th in Placings
 |  |  |  | 63 | 8 | 5 | 6 | 2 | 20 | 48 | 18 | 72 | 12 |  | 7th in Placings
 |  |  |  | 98 | 2 | 5 | 87 | 20 | 63 | 4 | 23 | 18 | 49 |  | 8th in Placings
 |  |  |  | 6 | 3 | 22 | 72 | 48 | 67 | 16 | 48 | 20 | 10 |  | 9th in Placings
 |  |  |  | 5 | 11 | 72 | 6 | 17 | 4 | 98 | 20 | 63 | 2 |  | 10th in Placings
 |  |  |  | 2 | 63 | 6 | 11 | 4 | 15 | 71 | 98 | 20 | 5
 |  |  |  | 11 | 10 | 63 | 67 | 4 | 98 | 20 | 16 | 48 | 8
 |  |  |  | 2 | 5 | 23 | 8 | 6 | 20 | 4 | 12 | 17 | 11
 |  |  |  | 5 | 10 | 2 | 4 | 19 | 20 | 6 | 48 | 12 | 63
 |  |  |  | 8 | 5 | 6 | 2 | 20 | 48 | 18 | 72 | 12 | 63
 |  |  |  | 2 | 5 | 87 | 20 | 63 | 4 | 23 | 18 | 49 | 98
 |  |  |  | I'm trying to find out which riders placed more than other riders and which riders placed the least. Example: Rider# 2 placed 12 times compared to Rider# 71 only placed once. So Rider# 2 would come in with the most placings, and then the next most placings would be Rider# ?, and so on.
Spreadsheet: 2b6c3645-84d9-47df-b26c-e972b7f49aec
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: |  |  | 2011-11-08 09:32:32.160000
Product: Conv-Conforming Fixed Rate 30 Year |  |  |  |  |  | Loan Level Price Adjustment
Rate | 15 Day | 30 Day | 45 Day | 60 Day |  | Price adjustments are cumulative
4.5 | 101.875 | 101.75 | 101.625 | 101.25 |  | and are added to price quote
4.375 | 101.714 | 101.589 | 101.464 | 101.089
4.25 | 101.04 | 100.915 | 100.79 | 100.415 |  | Note: | Refer To Price [NAME]
4.125 | 100.691 | 100.566 | 100.441 | 100.066 |  |  | For all Price Adjs
4 | 100.235 | 100.11 | 99.985 | 99.36
3.875 | 99.673 | 99.548 | 99.423 | 98.798
 |  |  |  |  |  | NEW!!!!!
 |  |  |  |  |  | Please note availability of
 |  |  |  |  |  | Servicing Retained Product for
 |  |  |  |  |  | Conventional Loans Only.
 |  |  |  |  |  | A .25 adjustment to SRP
 |  |  |  |  |  | Will apply.
 |  |  |  |  |  | NEW!!!!
 |  |  |  |  |  | Improved 15 day price for
 |  |  |  |  |  | Conventional Product
Product: Conv-Conforming Fixed Rate 15 Year
Rate | 15 Day | 30 Day | 45 Day | 60 Day
3.875 | 101.571 | 101.446 | 101.321 | 100.946
3.75 | 101.123 | 100.998 | 100.873 | 100.498
3.625 | 100.774 | 100.649 | 100.524 | 100.149
3.5 | 100.423 | 100.298 | 100.173 | 99.798
3.375 | 100.039 | 99.914 | 99.789 | 99.164
3.25 | 99.526 | 99.401 | 99.276 | 98.651
 |  |  |  |  |  | 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 | 2011-11-22 09:32:32.160000
30 DAY | 2011-12-07 09:32:32.160000
45 DAY | 2011-12-22 09:32:32.160000
60 DAY | 2012-01-06 09:32:32.160000
90 DAY | 2012-02-05 09:32:32.160000
A SERVICE RELEASE PREMIUM WILL BE PAID IN [NAME] WITH THE ATTACHED SCHEDULE.
Spreadsheet: 687722d1595365102-solver-problem-risk-optimizer-excel-forum-sample-hydr-
Sheet: Position

 |  | 1yr | 2yr | 3yr | 4yr | 5yr | 6yr | 7yr | 10yr | Total |  | [NAME] | 500
 | Position | 300 | 150 | 175 | -500 | 1250 | 275 | -50 | -400 |  |  | Min
 | Overlay | 400 | -100 | 75 | -10 | -700 |  | 100 | 50
 |  |  |  |  |  |  |  |  |  |  |  | Risk
 | Total
 |  | -500 | -371.2793265757068 | -500 | -243.8820885148624 | -500 | -420.2714910951771 | -500 | 43.74929175407443
 | Scenarios | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 |  |  |  |  |  | Position |  |  |  |  |  |  |  |  | Total
1 | Solver
 | Manual 1 | -400 |  |  | 500 | -500
 | Manual 2 |  | -500 |  |  | -300
 | Manual 3 |  |  | -500 | -500 |  |  |  | 100
 | Manual 4
 | Manual 5
Spreadsheet: 02376cbe-a357-4182-a00a-bdbbd3181ebc
Sheet: Sheet1

Table 2--Feed and residual use of wheat and coarse grains, 5/14/2013 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10
Market year and quarter 1/ |  | Corn  (million metric tons) | Sorghum  (million metric tons) | Barley  (million metric tons) | Oats  (million metric tons) | Feed grains  (million metric tons) | Wheat  (million metric tons) | Energy feeds  (million metric tons) | Grain consuming animal units  (millions) | Energy feeds per grain consuming animal unit  (tons)
2011/12 | Q1 Sep-Nov | 46.36464663783633 | 1.125526280695738 | -0.04624466235028046 | 0.3373031748753299 | 47.78123143105712 | -0.4361019712222776 | 47.34512945983484
 | [NAME] | 39.12698684853912 | 0.144685120623853 | 0.2708709248116004 | 0.2283448137594563 | 39.77088770773403 | 1.192639826691378 | 40.96352753442541
 | [NAME] | 21.78890349456733 | 0.3898827100518819 | 0.02449399488891973 | 0.2052333688042665 | 22.40851356831239 | -1.866224686136671 | 20.54228888217572
 | [NAME] | 8.177732055653985 | 0.1344738463101611 | 0.9865092519261807 | 0.7466332096840183 | 10.04534836357435 | 11.66425809050259 | 21.70960645407694
 | MY Sep-Aug | 115.4582690365968 | 1.794567957681634 | 1.23562950927642 | 1.517514567123071 | 120.0059810706779 | 10.55457125983502 | 130.5605523305129 | 92.63541811668705 | 1.409402094629226
2012/13 | Q1 Sep-Nov | 52.41924647399872 | 1.999784089970979 | 0.0731989429480428 | 0.3741566581481998 | 54.86638616506594 | -0.8283324760435123 | 54.03805368902243
 | [NAME] | 27.48143491265169 | 0.2440545363332127 | 0.2257366568962843 | 0.3444291130180139 | 28.2956552188992 | 0.2446133622906784 | 28.54026858118988
 | MY Sep-Aug | 111.7651914931449 | 2.540117988480565 | 1.944061158783683 | 1.573310980295035 | 117.8226816207041 | 7.930937820633198 | 125.7536194413373 | 91.93985863555042 | 1.36778130081562
2013/14 | MY Sep-Aug | 135.2612828865901 | 3.048141586176679 | 1.342490901950035 | 1.762082332192562 | 141.4139977069094 | 8.164664962973244 | 149.5786626698826 | 91.69410543322542 | 1.631278935141699
1/ Corn and sorghum, September 1-August 31 marketing year; Barley and oats, June 1-May 31 marketing year. Source: USDA, World Agricultural Outlook Board, World Agricultural Supply and Demand Estimates and supporting materials.
Data run: 5/13/2013
Spreadsheet: 888636d1739208762-pulldown-list-expenses
Sheet: Fixed Costs

 | Year-Over-Year Total Cost
 | Year | Variable Cost | Fixed Costs | Cash Spending | Monthly Cost | Yearly Cost | + | Extra Cost | = | Total Cost | % Change |  | Total Pay
 | 2020 |  |  |  |  |  | + |  | =
 | 2021 |  |  |  |  |  | + |  | =
 | 2022 |  |  |  |  |  | + |  | =
 | 2023 |  |  |  |  |  | + |  | =
 | 2024 |  |  |  |  |  | + | 0 | =
 | 2025 |  |  |  |  |  | + | 0 | =
 | TOTAL RUNNING COST SINCE 2020:
Spreadsheet: 99662d1298277799-if-formula-query-qty-break-example
Sheet: Sheet1

Qty | $ | Qty2 | $ | Qty3 | $ | Qty4 | $
1 | 1 | 5 | 0.75 | 10 | 0.5 | 25 | 0.25
2 | 1 | 5 | 0.75 | 10 | 0.5 | 25 | 0.25
5 | 0.8 | 10 | 0.7 | 25 | 0.6 | 50 | 0.5
10 | 2 | 25 | 1.8 | 50 | 1.6 | 100 | 1.5
12 | 2 | 25 | 1.8 | 50 | 1.6 | 100 | 1.5
25 | 1.5 | 50 | 1.4 | 100 | 1.3 | 250 | 1.2
50 | 1 | 100 | 0.9 | 250 | 0.8 | 500 | 0.7
100 | 0.5 | 250 | 0.45 | 500 | 0.4 | 1000 | 0.35
1000 | 0.4 | 2500 | 0.38 | 5000 | 0.36 | 10000 | 0.35
10000 | 0.2 | 25000 | 0.19 | 50000 | 0.18 | 100000 | 0.17
Spreadsheet: 138267d1327590399-find-and-delete-text-values-from-a-list-boom3-sample-book3
Sheet: Sheet1

Last | First | Occupation | Address |  |  | your list | Address | <<<<criteria list
Braunneis | [NAME] | clk. | 46 and 48 Royal |  |  | Royal | *Royal* |  | needs * each side for wild card search
Berton | Germain |  | 46 Bagatelle |  |  | Barrack | *Barrack*
Anglade | Mac |  | 46 Barrack |  |  | Clouet | *Clouet* |  | now select column d
[NAME] | [NAME] | carpenter | 46 Clouet |  |  | Dauphine | *Dauphine*
[NAME] | widow | f.w.c. | 46 Craps |  |  | Tchoupitoulas | *Tchoupitoulas* |  | go to data /filter/ advanced filter
Bouligny | [NAME] |  | 46 Dauphine |  |  | Bienville | *Bienville*
Bouligny | G. | flour inspector | 46 Dauphine |  |  | Common | *Common*
[NAME] | [NAME] |  | 46 [NAME] |  |  | Customhouse | *Customhouse*
Bailly | N. | f.m.c. | 46 Greatmen |  |  | Apollo | *Apollo*
[NAME] | [NAME] | painter | 46 Spain |  |  | Treme | *Treme*
[NAME] | [NAME] | drayman | 46 Spain |  |  | Montegut | *Montegut*
[NAME] | [NAME] |  | 46 Tchoupitoulas |  |  | Poeyfarre | *Poeyfarre*
[NAME] | [NAME] |  | 46 Tchoupitoulas
Afflect | [NAME] | clk. | 47 Bienville
Brewster | J. | hats | 47 Common
Boyle, H. & Co. |  | com. mer. | 47 Customhouse                      d.    54 Rampart
Becker & Stouff | acher | New York, c.h. | 47 Font Levee
Bouvrand | Mrs. | laundress | 47 Spain
Bugere | [NAME] |  | 47 Union, t. my.
[NAME] | [NAME] |  | 47 Victory |  |  |  |  |  | set criteria range as above
Bendecks | Hans | pilot | 48 Annette |  |  |  |  |  | click ok
Bioren | [NAME] |  | 48 Apollo
[NAME] | [NAME] |  | 48 Camp |  |  |  |  |  | you can then delete all the rows showing
Buehring | F. |  | 48 Enghien
Beauchene | F. | drayman | 48 Greatmen
Bertel & Moreno |  | grocers | 49 & 50 Treme Mkt.                  &    274 Orleans
Boise | [NAME] | f.m.c. | 49 Bagatelle
Barbet | [NAME] |  | 49 Montegut
Bell | [NAME] |  | 49 Poeyfarre
Buckner | Payne, Capt. |  | 496 Casacalvo
Spreadsheet: 53809d1253733444-use-drop-downs-to-populate-other-drop-downs-practice1a
Sheet: Assignment

Assignment 1 | [NAME]
Assignment 2 | [NAME]
Assignment 3 | [NAME]
Assignment 4 | [NAME]
Assignment 5 | [NAME]
Assignment 6 | [NAME]
Assignment 7 | [NAME]
Assignment 8 | [NAME]
Assignment 9 | [NAME]
Assignment 10 | Sue
Sunday
When the Drop Down in A14 is put on Sunday those names below auto populate.  When I put A14 on Monday it would auto populate the names for the Monday employees and so on throughout the week.  However, I would like it if the Drop Downs next to the assignment holding the EmployList could be changed even after I have used the A14 Drop Down to choose day.  That way if I need to have flexibility on a certain day to change who does what assignment I can do it manually.
Sunday |  | Monday |  | Tuesday
Assignment 1 | [NAME] | Assignment 1 | [NAME] | Assignment 1 | [NAME]
Assignment 2 | [NAME] | Assignment 2 | [NAME] | Assignment 2 | [NAME]
Assignment 3 | [NAME] | Assignment 3 | [NAME] | Assignment 3 | [NAME]
Assignment 4 | [NAME] | Assignment 4 | [NAME] | Assignment 4 | [NAME]
Assignment 5 | [NAME] | Assignment 5 | [NAME] | Assignment 5 | [NAME]
Assignment 6 | [NAME] | Assignment 6 | [NAME] | Assignment 6 | [NAME]
Assignment 7 | [NAME] | Assignment 7 | [NAME] | Assignment 7 | [NAME]
Assignment 8 | [NAME] | Assignment 8 | Sue | Assignment 8 | [NAME]
Assignment 9 | [NAME] | Assignment 9 | [NAME] | Assignment 9 | Sue
Assignment 10 | Sue | Assignment 10 | [NAME] | Assignment 10 | [NAME]
Spreadsheet: 10aee385-e258-42b7-8499-86f8f477c9ec
Sheet: ABT Schedule

First 7 packets |  |  |  |  |  |  |  | Last 6 packets
1 | [NAME] |  |  |  |  |  |  | 1 | [NAME]
2 | [NAME] |  |  |  |  |  |  | 2 | [NAME]
3 | [NAME] |  |  |  |  |  |  | 3 | [NAME]
4 | [NAME] |  |  |  |  |  |  | 4 | [NAME]
5 | [NAME] |  |  |  |  |  |  | 5 | Chinmay [NAME]
6 | [NAME] and [NAME]
 | 70A | 70B | Readers | Packet |  |  |  |  | Team 1 | Team 2 | Reader | Packet
Round 1 | 3 v 5 | 2 v 6 | 1; 4 | Seven Lakes & Rockefeller |  |  |  | Round 1 | 1 & 2 | 3 & 4 | 5 | Michigan A & George Mason
Round 2 | 1 v 2 | 3 v 4 | 5; 6 | Minnesota A |  |  |  | Round 2 | 2 & 4 | 1 & 5 | 3 | MIT A
Round 3 | 2 v 4 | 3 v 6 | 1; 5 | Northwestern A |  |  |  | Round 3 | 4 & 5 | 2 & 3 | 1 | South Carolina & Carleton
Round 4 | 4 v 5 | 1 v 6 | 2; 3 | RPI |  |  |  | Round 4 | 3 & 5 | 1 & 4 | 2 | Virginia & Dartmouth
Round 5 | 1 v 3 | 2 v 5 | 4; 6 | VCU & Michigan State |  |  |  | Round 5 | 1 & 3 | 2 & 5 | 4 | Yale A
Round 6 | 1 v 4 | 5 v 6 | 3; 2 | Wellesley & Hunter |  |  |  | Round 6 | 2 & 4 | 3 & 5 | 1 | Alabama & Yale C & Alberta
Round 7 | 2 v 3 | 4 v 6 | 1; 5 | Yale B & Bellarmine
Spreadsheet: 752752d1634922792-count-range-if-specific-cell-contains-specific-text-example-spreadsheet-1-countif
Sheet: Sheet1

Date | long string of text [Company1] | long string of text [Company2] | long string of text [Company1]
1st May | Completed | Completed | Completed
2nd May | Completed with a problem | Not completed | Completed with a problem
3rd May | Completed | Not completed | Not completed
4th May | Compleetd | Compleetd | Not completed
5th May | Not completed | Not completed | Completed
6th May | Not completed | Not completed | Completed with a problem
7th May | Not completed | Not completed | Not completed
8th May | Not completed | Not completed | Not completed
9th May | Completed with a problem | Completed with a problem | Not completed
10th May | Completed with a problem | Completed with a problem | Completed with a problem
Spreadsheet: e2f63e47-62c0-4356-8c07-02a705eaea15
Sheet: Sheet1

University of Arkansas at Pine Bluff | Unnamed: 1
Overtime Record - Instructions
Fill out appropriate information: Name, SS #,  Pay Period, Department Name, Account #.
Complete the Time Record fields as explained below:
Day of  Week | Do not change day's of week.
Date | Enter date. Required field.
Regular Hours Worked | All regular hours worked during the week are required to be entered. Do not enter any extra hours worked in this column.
Sick (Self) | Enter personal sick leave hours taken.
Sick (Fam.) | Enter family sick leave hours taken.
Vac./ Hol. | Enter any vacation hours taken. If a vacation day falls during the week of overtime, please enter here.
Total Leave Taken | Calculated field, no entry required.
[NAME]. In | Enter the beginning time of hours worked. (example: 8:00 a, 2:00 p. If entering time for 12 am, you must enter it as 12:00:01.
[NAME]. Out | Enter the ending time of hours worked. (example: 6:00 p, 10:00 a. If entering time for 12 am, you must enter it as 12:00:01.
Total Extra Hrs. | Calculated field, no entry required.
No Entry Required For: | Week 1, Week 2, or Total.
 | [NAME] your regular hourly rate.
Rate of Pay | Hrs @ OT Rate - Calculated field, no entry required.
 | Totals - Calculated field, no entry required.
 | [NAME] field, no entry required.
Reason For Overtime Worked | Explanation of reason overtime is required.
Employee: Employees must sign to certify hours worked.
Supervisor: [NAME] must sign to certify hours worked, and work performed.
Vice Chancellor: Vice Chancellor's signature is required.
Spreadsheet: 74323d1274871943-excel-2007-ifs-function-simplified
Sheet: MONA

 |  | 0 | 1 | 2 | R | 3 | 4 | L1 | L2 | 5 | 6
S.ACKAH
[NAME]
A.ALEX
M.AUSTIN
M.AVERY
A.BARNES
S.BEFEKADU
A.BURIC
L.CAI
K.CATTON
M.CHAND
A.CHOKBENGBOUN
A.CLADOUHOS
P.CONSTANTINIDIS
[NAME]
G.DIGGINS
J.DUVALL
T.ELLIS
LI.ERSKINE
A.FAIRBANK
S.GAILEY
[NAME]
J.GEORGES
B.GLENN
J.GOODEN
[NAME]
R.HUSSAYNI
D.IKONOMOS
N.JEYAKUMAR
H.JUN
D.KANTI
G.KAUR
M.KING
J.KINTOMINAS
L.KUMAR
N.KUROVSKY
E.KURUVILLA
R.LAL
B.LAM
R.LAWRENCE
D.LEE
I.LOR
T.LOREGGIAN
K.LOWE
H.LUONG
R.LY
B.LY
C.MANUEL
S.MATIC
D.MCEWAN
J.MCELLIGOTT
J.MENZIES
G.MISRA
[NAME]
[NAME]
H.NGUYEN
LI.NGUYEN
[NAME]
T.NGUYEN
LY.NGUYEN
B.OBYRNE
I.PACHO
E.PAPAYIANNIS
C.PARAS
A.PASSARELLI
E.PETROVIC
P.PHAM
J.PIESSE
R.PILLAY
C.PODESCHWA
G.POWERS
S.PRASAD
D.PRAKASH
R.PRATAP
V.PULHAM
C.RAPINETTE
A.REID
K.RICHARDS
T.ROBINSON
N.ROCCA
[NAME]
H.RUBESSA
T.RUBELJ
G.SALIBA
A.SHAFI-BEIGLI
I.SHCHUPAK
G.SHEKAR
R.SHORT
R.SINGH
M.SKINNER
N.SLEIMAN
M.STROUTHOS
J.TAWSE
G.LOWE
G.TRAINOR
T.TRAN
V.TRAN
[NAME]
J.VEN
L.WANG
C.WALTON
H.WANG
M.WEST
[NAME]
Spreadsheet: 136453d1326657670-help-with-formula-to-auto-create-break-times-break-schedule-sample-02-
Sheet: Swing

Break Schedule
Cashier | Time-In | 1st Break (40 Mins) | 2nd Break (20 Mins) | Time-Out | Unavailable Start | Unavailable End
Employee #01 | 07:00:00 | 09:00:00 | 13:00:00 | 15:00:00
Employee #02 | 08:00:00 | 10:00:00 | 14:00:00 | 16:00:00 | 14:00:00 | 15:00:00
Employee #03 | 09:00:00 | 11:00:00 | 15:00:00 | 17:00:00
Employee #04 | 10:00:00 | 12:00:00 | 16:00:00 | 18:00:00
Employee #05 | 11:00:00 | 13:00:00 | 17:00:00 | 19:00:00
Employee #06 | 12:00:00 | 14:00:00 | 18:00:00 | 20:00:00
Employee #07 | 13:00:00 |  |  | 21:00:00
Employee #08 | 14:00:00 |  |  | 22:00:00
Employee #09 | 15:00:00 |  |  | 23:00:00
Employee #10 | 16:00:00 |  |  | 1900-01-01 00:00:00
Employee #11 | 17:00:00 |  |  | 1900-01-01 01:00:00
Employee #12 | 18:00:00 |  |  | 1900-01-01 02:00:00
Employee #13 | 19:00:00 |  |  | 1900-01-01 03:00:00
Employee #14 | 20:00:00 |  |  | 1900-01-01 04:00:00
Employee #15 | 21:00:00 |  |  | 1900-01-01 05:00:00
Employee #16 | 22:00:00 |  |  | 1900-01-01 06:00:00
Employee #17 | 23:00:00 |  |  | 1900-01-01 07:00:00
Employee #18 | 1900-01-01 00:00:00 |  |  | 1900-01-01 08:00:00
Spreadsheet: 272389d1382371492-counting-work-days-datum_plus_x_werkdagen2
Sheet: Sheet2

 |  |  |  |  |  |  |  |  |  |  |  |  | holidays
Check |  | Start | Finish | Excel2010 |  |  |  |  |  |  |  |  | 2013-01-01 00:00:00
 |  | 2013-05-01 00:00:00 |  |  | <--formula |  |  |  |  |  |  |  | 2013-03-30 00:00:00
 |  |  |  |  |  |  |  |  |  |  |  |  | 2013-03-31 00:00:00
 |  |  |  |  |  |  |  |  |  |  |  |  | 2013-05-09 00:00:00
 |  |  |  | Excel2003 |  |  |  |  |  |  |  |  | 2013-05-19 00:00:00
 |  |  |  |  | <--formula |  |  |  |  |  |  |  | 2013-05-20 00:00:00
 |  | 1 |  |  |  |  |  |  |  |  |  |  | 2013-12-25 00:00:00
 |  | 2 |  |  |  |  |  |  |  |  |  |  | 2013-12-26 00:00:00
 |  | 3
 |  | 4
 |  | 7
 |  |  |  | check
Spreadsheet: 77317d1277817572-excel-2007-lookup-data-using-drop-down-menus-lookups-using-drop-downs
Sheet: Budget

 | 2010-04-01 00:00:00 | 2010-05-01 00:00:00 | 2010-06-01 00:00:00 | 2010-07-01 00:00:00 | 2010-08-01 00:00:00 | 2010-09-01 00:00:00 | 2010-10-01 00:00:00 | 2010-11-01 00:00:00 | 2010-12-01 00:00:00 | 2011-01-01 00:00:00 | 2011-02-01 00:00:00 | 2011-03-01 00:00:00
Income | 30000 | 30000 | 30000 | 30000 | 30000 | 30000 | 30000 | 30000 | 30000 | 30000 | 30000 | 30000
Exp | 24000 | 24000 | 24000 | 24000 | 24000 | 24000 | 24000 | 24000 | 24000 | 24000 | 24000 | 24000
Profit
Spreadsheet: phillip_m_love__30130__InventoryNapoleonville00
Sheet: Inv Bal 2000

INVENTORY BALANCE |  | DECEMBER-00 BALANCE |  |  | [NAME] |  |  | [NAME] |  |  | FEBRUARY-01 ACTIVITY |  |  | FEBRUARY-01 BALANCE |  |  | MARCH-01 ACTIVITY |  |  | MARCH-01 BALANCE |  |  | APRIL-01 ACTIVITY |  |  | APRIL-01 BALANCE |  |  | MAY-01 ACTIVITY |  |  | MAY-01 BALANCE |  |  | [NAME] |  |  | [NAME] |  |  | JULY-01 ACTIVITY |  |  | [NAME] |  |  | AUGUST-01 ACTIVITY |  |  | AUGUST-01 BALANCE |  |  | SEPTEMBER-01 ACTIVITY |  |  | SEPTEMBER-01 BALANCE |  |  | OCTOBER-01 ACTIVITY |  |  | OCTOBER-01 BALANCE |  |  | [NAME] |  |  | [NAME] |  |  | DECEMBER-01 ACTIVITY |  |  | DECEMBER-01 BALANCE
 |  | VOLUME | AMOUNT | $/MMBTU | VOLUME | AMOUNT | $/MMBTU | VOLUME | AMOUNT | $/MMBTU | VOLUME | AMOUNT | $/MMBTU | VOLUME | AMOUNT | $/MMBTU | VOLUME | AMOUNT | $/MMBTU | VOLUME | AMOUNT | $/MMBTU | VOLUME | AMOUNT | $/MMBTU | VOLUME | AMOUNT | $/MMBTU | VOLUME | AMOUNT | $/MMBTU | VOLUME | AMOUNT | $/MMBTU | VOLUME | AMOUNT | $/MMBTU | VOLUME | AMOUNT | $/MMBTU | VOLUME | AMOUNT | $/MMBTU | VOLUME | AMOUNT | $/MMBTU | VOLUME | AMOUNT | $/MMBTU | VOLUME | AMOUNT | $/MMBTU | VOLUME | AMOUNT | $/MMBTU | VOLUME | AMOUNT | $/MMBTU | VOLUME | AMOUNT | $/MMBTU | VOLUME | AMOUNT | $/MMBTU | VOLUME | AMOUNT | $/MMBTU | VOLUME | AMOUNT | $/MMBTU | VOLUME | AMOUNT | $/MMBTU | VOLUME | AMOUNT | $/MMBTU
VNG
 | OPENING INV. |  |  | 0
 | INJECTIONS | 2900198 |  | 2.2373 | 0 |  |  |  |  |  |  |  | 1.5916 |  |  |  | 0 |  | 2.21157 |  |  |  |  |  | 1.5799 |  |  |  |  |  | 2.404 |  |  |  |  |  | 2.3841 |  |  |  | 0 |  | 1.66214 |  |  |  |  |  | 2.5225 |  |  |  |  |  | 2.9527 |  |  |  |  |  | 2.4733 |  |  |  |  |  | 1.9427
 | WACOG
 | WITHDRAWAL |  | 0 | 0 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0 |  |  |  |  |  | 0 |  |  |  |  |  | 0 |  |  |  |  |  |  |  |  |  |  |  | 0
 |  |  |  |  |  | Total Tie |  |  |  |  |  | Total Tie |  |  |  |  |  | Total Tie |  |  |  |  |  | Total Tie |  |  |  |  |  | Total Tie |  |  |  |  |  | Total Tie |  |  |  |  |  | Total Tie |  |  |  |  |  | Total Tie |  |  |  |  |  | Total Tie |  |  |  |  |  | Total Tie |  |  |  |  |  | Total Tie |  |  |  |  |  | Total Tie
 |  |  |  |  | 0 | East Desk |  |  |  |  | 0 | East Desk |  |  |  |  | 0 | East Desk |  |  |  |  | 0 | East Desk |  |  |  |  | 0 | East Desk |  |  |  |  | 0 | East Desk |  |  |  |  | 0 | East Desk |  |  |  |  | 0 | East Desk |  |  |  |  | 0 | East Desk |  |  |  |  | 0 | East Desk |  |  |  |  | 0 | East Desk |  |  |  |  | 0 | East Desk
Spreadsheet: 694419d1599591397-formula-to-pull-information-from-one-column-to-another-based-on-value-in-a-third-column-list-sorting
Sheet: Name List

Name | Files | Location 1 | Location 2
[NAME] | 406 | England | France
[NAME] | 605 | Austria | Hungary
[NAME] | 293 | Australia | New Zealand
Torin | 394 | Canada | USA
Reese | 809 | Peru | Bolivia
Malea | 235 | Mexico | Gutemala
[NAME] | 944 | Russia | Ukraine
[NAME] | 1285 | China | North Korea
Kyler | 1387 | India | Thailand
[NAME] | 1175 | Zimbabwe | Kenya
[NAME] | 212 | Scotland | Ireland
[NAME] | 739 | Thailand | Phillipines
Gavin | 693 | China | Nepal
[NAME] | 593 | Scotland | England
Tessa | 764 | France | Germany
Jayda | 823 | Spain | Austria
Dex | 193 | USA | Belize
[NAME] | 1270 | Kenya | Botswana
Hayden | 930 | Brazil | Chile
[NAME] | 495 | Cuba | Jamaica