tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: b22f6f6d-6e00-43af-831c-748df2cf4f30
Sheet: Sheet1

Wichtig ist, dass oben in der Überschrift rechts die 4 Felder ausgefüllt | Unnamed: 1
werden:
Teilnehmer
RL Faktor
[NAME]
[NAME]
Die Tabelle ist auf 20 ausgelegt, [NAME] beliebig erweitert werden.
Segeln jetzt nur 7 TN mit, dann muss man die [NAME] löschen.
Als besonderes Schmankerl steht hinten noch eine Tabelle, die die jeweiligen
Platzierungen zeigt. Da musst Du dann bei [NAME] nur schauen, wer
wie [NAME], zweite oder wie bei Euch in Berlin 6. Plätze hat.
[NAME], April 2007
[NAME]:
Einzutragen sind:
[NAME] in Zelle X3
RL-Faktor in Zelle X4 (GMMC 1,2  Regio Cup 1,1   Ranglistenregatta 1,0)
[NAME] in Zelle AA3
Teilnehmernamen und Laufergebnisse
Die Auswertung erfolgt durch Klick auf den Button "Auswertung"
Hierfür müssen Makros aktiviert sein
Die besseren Laufergebnisse bei Punktgleichheit werden automatisch berücksichtigt
Christian Ückert 21.03.2010
[NAME] auch DNS (nicht gestartet), DNF (Lauf nicht beendet) oder DSQ (disqualifiziert) eingetragen werden
Für DNF gibt es die Punktzahl des Letzten + (Wert rechts eintragen) | 1
Für DNS gibt es die Punktzahl des Letzten + (Wert rechts eintragen) | 2
Für DSQ gibt es die Punktzahl des Letzten + (Wert rechts eintragen) | 3
Christian Ückert 16.04.2010
[NAME] gegen [NAME] ist [NAME] "Auswertung" gesperrt.
[NAME] sind nur noch in den dafür vorgesehenen Zellen möglich
Das Kennwort zum Aufheben des Blattschutzes lautet "MM" (Kennwort aufgehoben 18.10.2011)
Christian Ückert 15.12.2010
Die Eingaben der Laufergebnisse werden auf [NAME] überprüft.
Bei unvollständigen oder fehlerhaften Eingaben wird die [NAME] über dem Lauf in der ersten [NAME] rot dargestellt.
Sind die [NAME] vollständig und korrekt, ist die [NAME] grün
Christian Ückert 23.12.2010
Bugfix: Sortierung funktionierte teilweise nicht bei mehrals 14 gesegelten [NAME]
Christian Ückert 10.08.2011
Die Eingabe der Laufergebnisse ist nun alternativ im [NAME]" mit anschließendem Übertragen in das  [NAME] möglich. Auch die Namen und Segelnummern werden dann aus dem Blatt "Laufergebnisse" in die Auswertung übernommen und bestehende [NAME] überschrieben. Damit die Übernahme der Ergebnisse funktioniert, [NAME] die [NAME] in den [NAME] mit den Segelnummern in Spalte C zusammen passen. [NAME] mit DNS, DNF und DSQ werden im [NAME] der [NAME] eingetragen.
Das Kennwort für den [NAME] ist aufgehoben!
Christian Ückert 18.10.2011
Spreadsheet: 8e2b3720-2a01-4287-a163-5703f86a33cf
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
[NAME] | Test | [NAME] | Dermatophatoides microceras, IgE | [NAME], IgE | Fluorescence Enzyme Immunoassay (FEIA) | Serum Gel Tube: SGT |  |  | 0.5 | mL | Container/Tube:  Preferred: Red top Acceptable: Serum gel [NAME]: 0.5 mL for each 5 allergens requested Additional Information: Designate specific allergens from the list in Allergens-IgE Antibodies in Special Instructions. Forms: If not ordering electronically, submit an Allergen Request Form (Supply T236) with the specimen. | For 1 allergen: 0.3 mL/For more | Hemolysis	Mild OK; Gross OK Thawing	Warm reject; Cold OK Lipemia	Mild OK; [NAME] OK Icterus	NA Other	NA | Class	IgE kU/L	Interpretation 0	<0.35	Negative 1	0.35-0.69	Equivocal 2	0.70-3.49	Positive 3	3.50-17.4	Positive 4	17.5-49.9	Strongly positive 5	50.0-99.9	Strongly positive 6	> or =100	Strongly positive Reference values apply to all ages. | Monday through Friday, 9 a.m.-8 p.m., Saturday 8 a.m.-3 p.m. | Same day/1 day | 3 days | 1 | 86003 |  |  |  |  | Rochester
[NAME] | [NAME] | SERUM | Serum |  |  |  | Refrigerated | 14 days
[NAME] | Result | [NAME] | [NAME], IgE | [NAME], IgE | Numeric |  |  |  |  | kU/L |  |  |  |  |  |  |  |  |  | 14036-8
Spreadsheet: 745659d1630082517-3-unique-random-lists-3-random-players
Sheet: 3 random players

 |  | https://www.excelforum.com/excel-formulas-and-functions/1355682-3-unique-random-lists.html
Player | Match-1 | Match-2 | Match-3
A |  |  |  |  | 3 random players
B
C
D
E
F
G
H
Spreadsheet: 695205d1600097912-staff-absence-tracker-showing-number-of-days-and-number-of-occasions-sample-workbook
Sheet: Sheet1

Employee name | First Day | Last Day | Number of days off this absence | Number of Sick Days in last 6 months including this absence | Number of Sick Days in last 12 months including this absence | Number of Sick periods in last 6 months including this absence | Number of Sick periods in last 12 months including this absence | Trigger point reached | Trigger Number
Employee 1 | 2020-01-06 00:00:00 | 2020-01-08 00:00:00 | 2 | 2 | 2 | 1 | 1 | No
Employee 2 | 2020-01-07 00:00:00 | 2020-01-07 00:00:00 | 1 | 1 | 1 | 1 | 1 | No
Empoyee 1 | 2020-02-12 00:00:00 | 2020-02-14 00:00:00 | 3 | 5 | 5 | 2 | 2 | No
Employee 4 | 2020-03-03 00:00:00 | 2020-03-05 00:00:00 | 3 | 3 | 3 | 1 | 1 | No
Employee 5 | 2020-03-06 00:00:00 | 2020-03-12 00:00:00 | 5 | 5 | 5 | 1 | 1 | no
Employee 1 | 2020-05-04 00:00:00 | 2020-05-08 00:00:00 | 5 | 10 | 10 | 3 | 3 | Yes | Trigger 1
Employee 1 | 2020-11-09 00:00:00 | 2020-07-12 00:00:00 | 4 | 17 | 19 | 3 | 4 | Yes | [NAME]
Spreadsheet: 107697e1-acb3-41a6-8db7-f9ff49679cd8
Sheet: Sheet1

Table 10--U.S. oilseed meal prices | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6
Marketing | Soybean | Cottonseed | Sunflowerseed | Peanut | Canola | Linseed
year | meal 2 | meal 3 | meal 4 | meal 5 | meal 6 | meal 7
 | $/Short ton
2003/04 | 256.05 | 183.47 | 111.14 | 177.56 | 188.45 | 159.25
2004/05 | 182.9 | 124.04 | 85.5 | 118.34 | 139.75 | 115.55
2005/06 | 174.1658333333333 | 144.2716666666667 | 77.46400000000001 | 106.9781818181818 | 140.5183333333333 | 115.53
2006/07 | 205.44 | 150.36 | 104.88 | 100 | 173.5 | 133.01
2007/08 | 335.94 | 253.81 | 172.81 |  | 251.32 | 228.81
2008/09 | 331.17 | 255.23 | 152.46 |  | 248.82 | 220.89
2009/10 | 311.27 | 220.9 | 151.04 |  | 224.92 | 209.23
2010/11 | 345.52 | 273.84 | 219.72 |  | 263.63 | 240.65
2011/12 | 393.53 | 275.13 | 246.75 |  | 307.59 | 265.68
2012/13 | 468.11 | 331.52 | 241.57 |  | 354.22 | 329.31
2013/141 | 450-490 | 350-390 | 240-280 |  | 335-375 | 335-375
2012/13
October | 488.46 | 343 | 287 |  | 354.49 | 334
November | 465.64 | 376.88 | 269.38 |  | 334.46 | 297.5
December | 459.4 | 345 | 266.67 |  | 349.55 | 335.83
January | 431.39 | 327.5 | 252 |  | 347.22 | 296
February | 440.66 | 279.38 | 237.5 |  | 359.23 | 303.75
March | 437.33 | 301.88 | 231.25 |  | 356.74 | 303.75
April | 422.07 | 314.5 | 222 |  | 340.42 | 309
May | 465.72 | 311.88 | 215 |  | 362.51 | 331.88
June | 496.78 | 329.38 | 233.13 |  | 376.19 | 340
July | 544.59 | 344.5 | 245.5 |  | 374.89 | 382.5
August | 464.9 | 330 | 221.25 |  | 340.44 | 317.5
September | 500.39 | 374.38 | 218.13 |  | 354.55 | 400
2013/14
October | 443.63 | 355 | 236.25 |  | 334.95 | 363.75
November | 451.13 | 345 | 246.88 |  | 342.86 | 316.25
December | 498.1 | 401.88 | 277.5 |  | 373.6 | 328.75
January | 479.54 | 375.63 | 283.75 |  | 365.48 | 330
February1 | 509.25 | 388.75 | 285 |  | 384.21 | 377.5
1 Preliminary.  2 High-protein Decatur, IL.  3 41-percent Memphis.  4 34-percent North Dakota-Minnesota.
5 50-percent Southeast mills.  6 36-percent Pacific Northwest. 7 34-percent Minneapolis.
NA= Not available.
Source: USDA, Agricultural Marketing Service, Monthly Feedstuff Prices.
Last update: | 2014-03-11 21:13:10.230000
Spreadsheet: 704059d1605329820-nested-if-function-formula-issue-is-this-the-best-way-to-solve-this-problem-profitcalc2
Sheet: Sheet1

Instrument Pair: | [NAME] | Customer: |  | Month: |  | Year:
Entries/Exits | Date | Order Type | Side | Average | Profit % | Price | Executed QTY | Amount | Pos Size % | [NAME] | Status | Profit USD | POS Value | Net Profit | Service Fee | Net Profit Total
Entry pos 1 | 2020-09-03 00:00:00 | limit | buy | 10300.08 |  | 10308 | 0.3
Entry pos 2 | 2020-09-07 00:00:00 | limit | buy | 10500.91 |  | 10500.91 | 0.2
Entry pos 3 | 2020-09-10 00:00:00 | limit | buy | 10650.17 |  | 10650.17 | 0.4
Entry pos 4 |  |  |  | 10700 | #N/A | 10700 | 0.5 |  |  |  |  |  |  |  |  | Service Fee Total
Exit pos 1 | 2020-10-12 00:00:00 | limit | sell | 11500 |  | 11500 | 0.5
Exit pos 2 | 2020-10-22 00:00:00 | limit | sell | 13780.9 |  | 11780.9 | 0.4
Exit pos 3 | 2020-11-05 00:00:00 | limit | sell | 15890.3 |  | 11800 | 0.3
Exit pos 4 |  |  |  |  |  | 12000 | 0.2
Spreadsheet: 780984d1652908225-help-with-formulas-to-split-hours-worked-based-on-date-fields-excel-forum-example
Sheet: Sheet1

Worker_ID | Hours | HourDate | WorkType | Project | [NAME] | REG | OT
Resource01 | 12 | 2022-05-05 00:00:00 | RIGRET | 0
Resource01 | 9 | 2022-05-02 00:00:00 | RIGRET | P12361
Resource01 | 5 | 2022-05-03 00:00:00 | RIGRET | P12361
Resource01 | 6 | 2022-05-04 00:00:00 | RIGRET | P12361
Resource01 | 2 | 2022-05-04 00:00:00 | RIGRET | P12935
Resource01 | 3 | 2022-05-02 00:00:00 | RIGRET | P13791
Resource01 | 7 | 2022-05-03 00:00:00 | RIGRET | P13791
Resource01 | 4 | 2022-05-04 00:00:00 | RIGRET | P13791
Spreadsheet: 146528d1332234251-maintenance-schdule-check-sheet-maintenance_planning-20_03_2012_1
Sheet: Calculation

Week 1 | 1 | 2008 |  | Every Shift | Morning |  |  | Year Select | 4 | 2011 |  | 2
Week 2 | 2 | 2009 |  | Daily | Afternoon |  |  | Week Select |  | 1 |  | 1
Week 3 | 3 | 2010 |  | Weekly | Night |  |  | AP Week | 2011-01-03 00:00:00
Week 4 | 4 | 2011 |  | 2 Weeks
Week 5 | 5 | 2012 |  | Monthly
Week 6 | 6 | 2013 |  | 3 months
Week 7 | 7 | 2014 |  | 6 months
Week 8 | 8 | 2015 |  | Yearly
Week 9 | 9 | 2016
Week 10 | 10 | 2017
Week 11 | 11 | 2018
Week 12 | 12 | 2019
Week 13 | 13 | 2020
Week 14 | 14 | 2021
Week 15 | 15 | 2022
Week 16 | 16 | 2023
Week 17 | 17 | 2024
Week 18 | 18 | 2025
Week 19 | 19 | 2026
Week 20 | 20 | 2027
Week 21 | 21 | 2028
Week 22 | 22 | 2029
Week 23 | 23 | 2030
Week 24 | 24 | 2031
Week 25 | 25 | 2032
Week 26 | 26 | 2033
Week 27 | 27 | 2034
Week 28 | 28 | 2035
Week 29 | 29 | 2036
Week 30 | 30 | 2037
Week 31 | 31 | 2038
Week 32 | 32 | 2039
Week 33 | 33 | 2040
Week 34 | 34 | 2041
Week 35 | 35 | 2042
Week 36 | 36 | 2043
Week 37 | 37 | 2044
Week 38 | 38 | 2045
Week 39 | 39 | 2046
Week 40 | 40 | 2047
Week 41 | 41 | 2048
Week 42 | 42 | 2049
Week 43 | 43 | 2050
Week 44 | 44 | 2051
Week 45 | 45 | 2052
Week 46 | 46 | 2053
Week 47 | 47 | 2054
Week 48 | 48 | 2055
Week 49 | 49 | 2056
Week 50 | 50 | 2057
Week 51 | 51 | 2058
Week 52 | 52 | 2059
 | 53 | 2060
 | 54 | 2061
 | 55 | 2062
 | 56 | 2063
 | 57 | 2064
 | 58 | 2065
 | 59 | 2066
 | 60 | 2067
 | 61 | 2068
 | 62 | 2069
 | 63 | 2070
Spreadsheet: 66227d1266932550-chart-inventoryreduction-3-
Sheet: Sheet1

Circle Name | Jan | Dec | Nov | Oct
AP | -3.805660893321196 | 61.09906681909792 | -39.74504655974201 | 6.522273327169685
AS | 24.96491854059025 | 27.921184720545 | 24.68370281353995 | -28.7909303788976
BH | -83.40901913883573 | 10.12877491035039 | 45.1482913280274 | 29.51224152297846
KL | 28.95476657577771 | -8.975383266482908 | 32.19865131238004 | 60.65352679512705
KO | 21.36790115379861 | 99.93234173915283 | 173.7227460003439 | 127.3536107075147
MH | 29.11276314198001 | 15.85847677913992 | -45.09263290111988 | 19.70563420544995
MP | 22.29761864113205 | -10.80910083740083 | 4.688559633147179 | 5.915694652778186
MU | -39.13854751039997 | -18.85319031675001 | 16.49976059725 | 3.994736828380006
NE | 18.36222531881616 | 58.37624824371008 | 9.26724956070376 | -69.31322057822996
OR | 37.57579851756484 | -11.16052536217158 | -11.00369326092753 | 0.7488825567398081
UPE | 209.8220972117201 | -236.0393583990858 | 91.80194064209003 | 11.94406535058005
UPW | 79.96011496197997 | -50.63686799452499 | 17.38431151401501 | -18.77404304012369
WB | 90.76933226544284 | 150.9056071539227 | 140.8408662252309 | -73.30035131947892
Grand Total ( Rs in Million) | 346.0649765208028 | -63.15833296441993 | 319.5538406797079 | 149.4724719494667
Spreadsheet: 205890d1357928833-identifying-gaps-in-data-odious_meter
Sheet: Sheet1

Mileage out | Mileage In
1 | 896
896 | 1476
1476 | 1873
1873 | 2225
2225 | 3072
3122 | 3141
3141 | 3948
3948 | 4122
4122 | 4973
5023 | 5853
5853 | 6639
6639 | 7268
7268 | 7955
7955 | 8719
8719 | 9078
9128 | 9810
9810 | 10324
10324 | 10890
10890 | 11199
11199 | 11966
Spreadsheet: 773712d1648021897-need-help-to-calculate-average-handling-time-field-wise-analysis-updated-1-
Sheet: To discuss

Time buckets --> | <=5 min | >5 and <=10 min | >10 and <=15 min | >15 and <=30 min
# cases | 762 | 132 | 30 | 34
% of cases | 0.7651 | 0.1325 | 0.0301 | 0.0341
Avg time per time frame bucket (hh:[NAME]:ss)
Total time per bucket (hh:[NAME]:ss)
Sum of time for all the buckets
Overall AHT (hh:[NAME]:ss)
Spreadsheet: 169586d1342969424-how-to-apply-countif-formula-when-data-are-on-different-sheets-book1
Sheet: March

 |  |  |  | Thu | Fri | Sat | Sun | Mon | Tue | Wed | Thu | Fri | Sat | Sun | Mon | Tue | Wed | Thu | Fri | Sat | Sun | Mon | Tue | Wed | Thu | Fri | Sat | Sun | Mon | Tue | Wed | Thu | Fri | Sat
S.no | Employee Name | SID | Process | 2012-03-01 00:00:00 | 2012-03-02 00:00:00 | 2012-03-03 00:00:00 | 2012-03-04 00:00:00 | 2012-03-05 00:00:00 | 2012-03-06 00:00:00 | 2012-03-07 00:00:00 | 2012-03-08 00:00:00 | 2012-03-09 00:00:00 | 2012-03-10 00:00:00 | 2012-03-11 00:00:00 | 2012-03-12 00:00:00 | 2012-03-13 00:00:00 | 2012-03-14 00:00:00 | 2012-03-15 00:00:00 | 2012-03-16 00:00:00 | 2012-03-17 00:00:00 | 2012-03-18 00:00:00 | 2012-03-19 00:00:00 | 2012-03-20 00:00:00 | 2012-03-21 00:00:00 | 2012-03-22 00:00:00 | 2012-03-23 00:00:00 | 2012-03-24 00:00:00 | 2012-03-25 00:00:00 | 2012-03-26 00:00:00 | 2012-03-27 00:00:00 | 2012-03-28 00:00:00 | 2012-03-29 00:00:00 | 2012-03-30 00:00:00 | 2012-03-31 00:00:00
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3
4
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7
8
9
10
11
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Spreadsheet: 4956e8f1-f187-4a74-bab8-cb5ea93115da
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: |  |  | 2011-09-26 09:40:41.630000
Product: Conv-Conforming Fixed Rate 30 Year |  |  |  |  |  | Loan Level Price Adjustment
Rate | 15 Day | 30 Day | 45 Day | 60 Day |  | Price adjustments are cumulative
4.375 | 101.875 | 101.75 | 101.625 | 101.25 |  | and are added to price quote
4.25 | 101.472 | 101.347 | 101.222 | 100.847
4.125 | 100.847 | 100.722 | 100.597 | 100.222 |  | Note: | Refer To Price [NAME]
4 | 100.432 | 100.307 | 100.182 | 99.807 |  |  | For all Price Adjs
3.875 | 99.915 | 99.79 | 99.665
3.75 | 98.946 | 98.821 | 98.696
 |  |  |  |  |  | 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
3.5 | 101.423 | 101.298 | 101.173 | 100.798
3.375 | 101.028 | 100.903 | 100.778 | 100.403
3.25 | 100.498 | 100.373 | 100.248 | 99.873
3.125 | 99.008 | 98.883 | 98.758 | 98.383
3 | 98.646 | 98.521 | 98.396 | 98.021
 |  |  |  |  |  | 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 | 2011-10-10 09:40:41.630000
30 DAY | 2011-10-25 09:40:41.630000
45 DAY | 2011-11-09 09:40:41.630000
60 DAY | 2011-11-24 09:40:41.630000
90 DAY | 2011-12-24 09:40:41.630000
A SERVICE RELEASE PREMIUM WILL BE PAID IN [NAME] WITH THE ATTACHED SCHEDULE.
Spreadsheet: 1b59bc36-0aa4-4bac-b037-eb8f3faca94f
Sheet: Sheet1

Table 9--U.S. cotton textile exports, by destination | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5
 | May | June | July |  | July
Region/country | 2013 | 2013 | 2013 |  | 2012
 | 1,000 pounds 1/
North America | 132784.975 | 130724.774 | 131615.535 |  | 124109.145
Bahamas | 90.713 | 91.432 | 111.678 |  | 132.246
Canada | 11070.012 | 11469.921 | 11748.762 |  | 10567.837
Costa Rica | 319.3 | 152.074 | 292.469 |  | 307.365
Dominican Republic | 22738.159 | 20675.189 | 21321.244 |  | 24497.503
El Salvador | 11802.966 | 10992.265 | 11916.298 |  | 10201.871
Guatemala | 2964.029 | 2457.939 | 1923.943 |  | 1751.625
Haiti | 776.894 | 1077.26 | 727.125 |  | 680.866
Honduras | 51226.131 | 54497.567 | 49957.374 |  | 49162.937
Jamaica | 121.384 | 70.183 | 47.7 |  | 65.624
Mexico | 29213.154 | 26829.598 | 30902.126 |  | 24647.769
Nicaragua | 1740.904 | 1766.512 | 2019.76 |  | 1515.354
Panama | 202.545 | 345.552 | 391.643 |  | 289.96
South America | 3959.098 | 4121.919 | 3929.105 |  | 3549.737
Brazil | 468.232 | 450.455 | 362.704 |  | 451.699
Chile | 446.883 | 322.193 | 243.941 |  | 250.129
Colombia | 1963.707 | 1929.955 | 1658.012 |  | 2022.003
Peru | 540.002 | 819.996 | 1010.263 |  | 198.867
Venezuela | 201.266 | 113 | 432.795 |  | 360.287
Europe | 3245.257 | 2947.873 | 3137.099 |  | 2706.087
Belgium | 242.136 | 233.894 | 269.546 |  | 210.277
France | 107.99 | 154.396 | 172.03 |  | 89.019
Germany | 635.772 | 540.231 | 642.439 |  | 394.631
Italy | 254.361 | 255.197 | 152.95 |  | 155.695
Netherlands | 316.328 | 314.921 | 384.454 |  | 348.205
Russia | 62.914 | 84.688 | 50.238 |  | 56.285
Turkey | 57.856 | 73.828 | 39.165 |  | 143.499
United Kingdom | 992.44 | 835.866 | 890.116 |  | 956.027
Asia | 14572.866 | 14669.935 | 14401.118 |  | 8836.206
China | 10686.668 | 10724.203 | 11217.985 |  | 5606.632
Hong Kong | 529.872 | 462.793 | 475.92 |  | 500.135
India | 186.674 | 319.35 | 125.634 |  | 242.531
Israel | 148.527 | 43.157 | 82.738 |  | 76.469
Japan | 918.166 | 954.73 | 666.045 |  | 965.865
Pakistan | 14.93 | 32.625 | 43.766 |  | 30.44
Saudi Arabia | 96.294 | 123.699 | 110.377 |  | 124.544
Singapore | 159.783 | 208.927 | 194.602 |  | 188.906
South Korea | 621.608 | 569.678 | 389.236 |  | 301.668
Taiwan | 111.82 | 122.248 | 135.02 |  | 80.038
United Arab Emirates | 302.797 | 361.202 | 269.002 |  | 212.411
Oceania | 780.029 | 901.5 | 845.735 |  | 705.004
Australia | 590.831 | 705.092 | 638.866 |  | 577.708
Africa | 353.884 | 317.04 | 357.2 |  | 312.859
South Africa | 52.659 | 44.467 | 70.744 |  | 97.871
World 2/ | 155696.818 | 153683.297 | 154285.792 |  | 140219.039
1/ Raw-fiber equivalent.  2/ Totals may not add due to rounding.
Sources: USDA, Economic Research Service; and
U.S. Dept. of Commerce, U.S. Census Bureau.
Last update: 09/16/13.
Spreadsheet: 837699d1690364315-calculating-values-between-date-ranges-excel-date-forum-request
Sheet: Raw Data

 | Agent Name | Skill | Status | Effective From | Go-live date |  | Skill | Recruit From | Training Start | Go-Live | Return Date | Total
 | [NAME] | BM CHO | Inductee | 2023-07-03 00:00:00 | 2023-09-06 00:00:00 |  | BM CHO |  | 2023-09-01 00:00:00 | 2023-11-01 00:00:00 |  | 21
 | [NAME] | BM CHO | Inductee | 2023-07-03 00:00:00 | 2023-09-06 00:00:00 |  | BM CORE |  | 2023-09-01 00:00:00 | 2023-11-01 00:00:00 |  | 10
 | Kurt | BM CHO | Inductee | 2023-07-03 00:00:00 | 2023-09-06 00:00:00 |  | BM CHO |  | 2023-09-01 00:00:00 | 2023-11-01 00:00:00 |  | 20
 | [NAME] | BM CHO | Inductee | 2023-07-03 00:00:00 | 2023-09-06 00:00:00 |  | BM CORE |  | 2023-10-01 00:00:00 | 2023-12-01 00:00:00 |  | 20
 | [NAME] | BM CHO | Inductee | 2023-07-03 00:00:00 | 2023-09-06 00:00:00 |  | BM CHO |  | 2023-10-01 00:00:00 | 2023-12-01 00:00:00 |  | 12
 | Fred | BM CORE | Inductee | 2023-09-01 00:00:00 | 2023-11-01 00:00:00 |  | BM CORE |  | 2023-10-01 00:00:00 | 2023-12-01 00:00:00 |  | 11
 | [NAME] | BM CORE | Inductee | 2023-09-01 00:00:00 | 2023-11-01 00:00:00
 | Jayce | BM CORE | Inductee | 2023-09-01 00:00:00 | 2023-11-01 00:00:00
 | [NAME] | BM CHO | Resign | 2023-11-01 00:00:00
 | [NAME] | BM CHO | Transfer | 2023-09-01 00:00:00 | 2024-03-01 00:00:00
 | [NAME] | BM CHO | Resign | 2023-09-01 00:00:00
 | [NAME] | BM CHO | Resign | 2023-09-01 00:00:00
 | [NAME] | BM CHO | Resign | 2023-09-01 00:00:00
 | [NAME] | BM CORE | Resign | 2023-11-01 00:00:00
 | Brent | BM CORE | Resign | 2023-09-01 00:00:00
 | Kent | BM CORE | Resign | 2023-11-01 00:00:00
 | [NAME] | BM CORE | Transfer | 2023-09-01 00:00:00 | 2024-03-01 00:00:00
 | Brett | BM CORE | Transfer | 2023-09-01 00:00:00 | 2024-03-01 00:00:00
 | [NAME] | BM CORE | Transfer | 2023-11-01 00:00:00 | 2024-03-01 00:00:00
 | Samantha | BM CORE | Transfer | 2023-09-01 00:00:00 | 2024-03-01 00:00:00
 | Dale | BM CORE | Transfer | 2023-11-01 00:00:00 | 2024-03-01 00:00:00
Spreadsheet: 168950d1342637683-spreadsheet-with-unknown-columns-cash-report-july-2012-v1
Sheet: current (2)

 | Bank Balance | 2012-07-17 00:00:00 |  | 5907.69
 |  | Due Date | Amount
Add | Deposits
 | Visa/Mastercard/Amex Deposits |  | 701.01
 | Daily Deposits
 | Cash Transfer - Owner Investment
 | Health Care Authority (Actual) | 2012-07-18 00:00:00 | 29456.32
 | Health Care Authority (Estimate) |  | 13811.87
 |  |  | DEPOSITS=
Less | Outstanding Checks
5001 | [NAME] | 2012-07-04 00:00:00 | -133.39
5018 | Ok State Board of Examiners of Psych | 2012-07-13 00:00:00 | -100
5019 | OLd Glory Insurance Company | 2012-07-13 00:00:00 | -388
5020 | Shred-It | 2012-07-13 00:00:00 | -138.75
5021 | [NAME] Ivy | 2012-07-18 00:00:00 | -3178.35
5022 | [NAME] | 2012-07-18 00:00:00 | -1826.95
5023 | [NAME] | 2012-07-18 00:00:00 | -1022.2
5024 | [NAME] | 2012-07-18 00:00:00 | -1418.21
5025 | Debbie R Baker | 2012-07-18 00:00:00 | -1176.33
5026 | [NAME] | 2012-07-18 00:00:00 | -1359.5
5027 | [NAME] | 2012-07-18 00:00:00 | -613.2
5028 | Heather P Bowles | 2012-07-18 00:00:00 | -1244.44
5029 | Jodi R Womack | 2012-07-18 00:00:00 | -67.93
5030 | [NAME] | 2012-07-18 00:00:00 | -2011.87
5031 | Madison A [NAME] | 2012-07-18 00:00:00 | -1226.02
5032 | [NAME] | 2012-07-18 00:00:00 | -246.76
5033 | [NAME] | 2012-07-18 00:00:00 | -819.24
5034 | [NAME] | 2012-07-18 00:00:00 | -2256.63
5039 | [NAME] | 2012-07-18 00:00:00 | -366.83
5040 | [NAME] | 2012-07-18 00:00:00 | -296.26
5042 | [NAME] | 2012-07-17 00:00:00 | -280.66
ACH071712 | IRS FED W/H PPE 06-20-12 | 2012-07-17 00:00:00 | -5377.67
ACH071712 | Chase [NAME] | 2012-07-17 00:00:00 | -150
 |  |  | O/S CHECKS=
Less | Online [NAME]Other
 | IRS FED W/H PPE 07-04-12 | 2012-07-11 00:00:00 | -5169.11
 | Shred-It | 2012-07-11 00:00:00
 | [NAME] (Payment Plan) | 2012-07-16 00:00:00 | -2919.62
 | Chase Credit Card | 2012-07-17 00:00:00 | -150
 | State of Oklahoma W/H for June 2012 | 2012-07-20 00:00:00 | -1506
 | Cash Transfer - Dr. [NAME] | 2012-07-23 00:00:00 | -500
 | IRS FED W/H PPE 07-18-12 | 2012-07-25 00:00:00 | -4962.99
 |  |  | O/S BILL PAY =
 |  |  | Ending Cash Balance
 | DAILY CASH RECONCILIATION - not used for forecast
 | Ending Cash Balance G/L | Quickbooks |  | -19090.49
 | O/S Checks | Add from above
 | Total
 | Bank Balance | Bank Bal plus todays deposit
 | Difference | Quickbooks vs Arvest
Spreadsheet: 685738d1594163097-sumif-or-countif-with-blanks-in-between-data-sample
Sheet: Sheet1

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