tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 841292d1693484153-search-and-result-excel-search
Sheet: Blad1

MM | Result | [NAME]
147 | Policy - ISMS |  | Find the value from column A of Sheet 1 in column A of Sheet 2, taking into account values separated by a comma. If the value is found, display the corresponding value from column B of Sheet 2.
149, 150 | Overview - Interested Parties Overview - Contracts Interested Parties | Overview - Interested Parties Overview - Contracts Interested Parties
147 | Policy - ISMS | Policy - ISMS
139 | Compliance Tool - De Compliance Afdeling | Compliance Tool - De Compliance Afdeling
1, 52, 56, 57, 58, 99 |  | Code of Conduct By laws - Compliance Committee  Tone for the Top Intranet - Corporate Coverance Communication message - new(update) policy Overview - Corporate Governance
8, 57, 99, 137, 147 |  | Guideline - Information Protection Intranet - Corporate Coverance Overview - Corporate Governance Compliance Committee - Mitigating Measures Policy - ISMS
1, 54, 55 |  | Code of Conduct Organization chart Job description
134, 145 |  | Minutes - Compliance Committee Compliance Annual Report
4, 5, 135, 136 |  | Guideline - Risk Strategy Guideline - Risk Management Risk Profile Risk Analysis
93, 137, 138 |  | Overview - Mitigating Measures Compliance Committee - Mitigating Measures The statement of applicability (SoA)
52, 145 |  | By laws - Compliance Committee  Compliance Annual Report
20 |  | Guideline - Governance Standards
145 |  | Compliance Annual Report
43, 55, 112 |  | Work Instruction - pre-employment Job description Training - Compliance Onboarding
56, 57, 58 |  | Tone for the Top Intranet - Corporate Coverance Communication message - new(update) policy
12 |  | Guideline - Communication
20, 57, 99 |  | Guideline - Governance Standards Intranet - Corporate Coverance Overview - Corporate Governance
15, 137 |  | Guideline - Corporate Rules Compliance Committee - Mitigating Measures
57, 99 |  | Intranet - Corporate Coverance Overview - Corporate Governance
139 |  | Compliance Tool - De Compliance Afdeling
136 |  | Risk Analysis
93 |  | Overview - Mitigating Measures
2, 52, 94, 145 |  | Policy - Compliance By laws - Compliance Committee  Overview - Sample Checks Compliance Annual Report
140 |  | Internal Audit
141 |  | Planning - Internal Audit
52 |  | By laws - Compliance Committee
93, 136, 140, 145 |  | Overview - Mitigating Measures Risk Analysis Internal Audit Compliance Annual Report
134, 145 |  | Minutes - Compliance Committee Compliance Annual Report
139 |  | Compliance Tool - De Compliance Afdeling
8, 29, 50, 62 |  | Guideline - Information Protection Instruction - Compliance Consultation and Notification Work Instruction - incident handling Incident notifications (orally/telephone/email/push notifications)
Spreadsheet: b2843333-0438-471a-a3d2-4b5f05a3793f
Sheet: Sheet1

PROG ID | ATHLETE ID | ATHLETE FIRST | ATHLETE LAST | NATIONALITY | START NUMBER | RUN | T1 | BIKE | T2 | SKI | POSITION | TOTAL TIME
6312 | 15872 | [NAME] | Reinahart | GER | 0 | 00:16:07 | 00:00:00 | 00:32:13 | 00:00:00 | 00:26:02 | 1 | 01:14:22
6312 | 10320 | Giovanni | [NAME] | ITA | 0 | 00:16:21 | 00:00:00 | 00:31:30 | 00:00:00 | 00:27:32 | 2 | 01:15:23
6312 | 10491 | Co | Looijesteijn | NED | 0 | 00:16:17 | 00:00:00 | 00:32:02 | 00:00:00 | 00:28:21 | 3 | 01:16:39
6312 | 9487 | Reinhold | Humbold | GER | 0 | 00:16:14 | 00:00:00 | 00:35:16 | 00:00:00 | 00:27:21 | 4 | 01:18:51
6312 | 10315 | [NAME] | [NAME] | ITA | 0 | 00:18:48 | 00:00:00 | 00:39:13 | 00:00:00 | 00:31:33 | 5 | 01:29:34
Spreadsheet: 99456d1298063840-delete-n-a-row-copy-of-sample1
Sheet: 2

Week | ID | Employee | Hour
2 |  | Adam | 30
2 |  | [NAME] | 55
2 |  | Chad | 15
2 |  | Fred | 40
Spreadsheet: 165345d1341189805-pivot-table-query-for-selective-data-pivot-table-query
Sheet: Data

Period | Organisation | Sales
1.2012 | Japan | 100
1.2012 | Taiwan | 200
1.2012 | Malayasia | 300
2.2012 | Japan | 400
2.2012 | Taiwan | 500
2.2012 | Malayasia | 100
3.2012 | Japan | 200
3.2012 | Taiwan | 300
3.2012 | Malayasia | 400
4.2012 | Japan | 500
4.2012 | Taiwan | 100
4.2012 | Malayasia | 200
5.2012 | Japan | 300
5.2012 | Taiwan | 400
5.2012 | Malayasia | 500
6.2012 | Japan | 100
6.2012 | Taiwan | 200
6.2012 | Malayasia | 300
Please see attached.
I need to get a pivot table for Quarter 1 (1.2012, 2.2012 and 3.2012)  sales for Japan Only
I need to get another pivot table for Quarter 2 (4.2012, 5.2012 and 6.2012)  sales for Japan Only
Spreadsheet: 92f0f884-ae50-48f1-99f9-e4ab3395e553
Sheet: Sheet1

All Cancers Excluding Non-Melanoma Skin Cancer (C00-97 Excl. C44): 1975-2010 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11 | Unnamed: 12 | Unnamed: 13 | Unnamed: 14 | Unnamed: 15 | Unnamed: 16 | Unnamed: 17 | Unnamed: 18 | Unnamed: 19 | Unnamed: 20 | Unnamed: 21 | Unnamed: 22 | Unnamed: 23 | Unnamed: 24 | Unnamed: 25 | Unnamed: 26 | Unnamed: 27 | Unnamed: 28 | Unnamed: 29 | Unnamed: 30 | Unnamed: 31 | Unnamed: 32 | Unnamed: 33 | Unnamed: 34 | Unnamed: 35 | Unnamed: 36
European Age-Standardised Incidence Rates per 100,000 Population, by Sex, Great Britain
Sex | 1975 | 1976 | 1977 | 1978 | 1979 | 1980 | 1981 | 1982 | 1983 | 1984 | 1985 | 1986 | 1987 | 1988 | 1989 | 1990 | 1991 | 1992 | 1993 | 1994 | 1995 | 1996 | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010
Female | 262.7 | 260.8 | 266.5 | 268.6 | 274.4 | 283.4 | 287.6 | 290.1 | 294.3 | 294.7 | 310 | 306 | 313 | 318.9 | 321.4 | 325.7 | 330 | 339.6 | 331.9 | 336.7 | 336.2 | 338.9 | 348.6 | 347.4 | 357.9 | 352.2 | 352.7 | 348.2 | 355.9 | 358.5 | 362.3 | 367.1 | 367.6 | 375 | 376.1 | 374.2
Male | 351.1 | 349.2 | 355.1 | 356.2 | 368.8 | 372.9 | 377 | 376.4 | 383.9 | 380.9 | 395.2 | 386.3 | 390.1 | 398 | 390.7 | 396.3 | 396 | 410.4 | 408.1 | 416.2 | 412 | 411.8 | 414.1 | 410.1 | 417.5 | 418.6 | 422.5 | 416 | 413.8 | 425.2 | 420.6 | 428.4 | 425.3 | 429 | 434.9 | 425.5
Persons | 293.5 | 292 | 297.6 | 299 | 307.5 | 314.1 | 318.2 | 319.4 | 324.7 | 324.1 | 338.3 | 332.6 | 338.3 | 344.9 | 343.2 | 347.9 | 350.2 | 361.7 | 356.9 | 363.2 | 361.8 | 363.6 | 370.3 | 368.1 | 377.3 | 375.4 | 377.8 | 373 | 376.5 | 383.5 | 384 | 390.5 | 389.9 | 395.9 | 399.5 | 394.6
Please include the citation provided in our Frequently Asked Questions when reproducing this chart: http://info.cancerresearchuk.org/cancerstats/faqs/#How
Prepared by Cancer Research UK
Original data sources:
1. Office for National Statistics. [NAME]: Registrations Series MB1. http://www.ons.gov.uk/ons/search/index.html?newquery=series+mb1
2. Welsh Cancer Intelligence and Surveillance Unit. http://www.wcisu.wales.nhs.uk
3. Information Services Division Scotland. Cancer Information Programme. www.isdscotland.org/cancer
Spreadsheet: 62255d1263233021-vlookup-help-example
Sheet: Sheet1

[NAME]
Team | C
 |  |  |  |  |  |  |  |  | Team | Team Member |  | [NAME] |  | Sue |  | [NAME]
 |  |  |  |  |  |  |  |  | A | [NAME] |  | Group | 1234 | Group | 5678 | Group | 9101
 |  |  |  |  |  |  |  |  | B | Sue |  | DOB | 2010-01-01 00:00:00 | DOB | 2010-01-02 00:00:00 | DOB | 2010-01-03 00:00:00
 |  |  |  |  |  |  |  |  | C | [NAME] |  | Town | Las Vegas | Town | New York | Town | Miami
lookup
group |  | #N/A
 |  |  |  | I need help with this formula.  I do not want it to read the cell address of A1 but rather the range name of "[NAME]"
Spreadsheet: 140043d1328607771-excel-vlookup-with-max-statement-into-another-table-test-16-
Sheet: User Max Amount

Original Table with Multiple amounts per user |  |  |  |  | New Table
User | PRODUCT_ID | ACTIVITY_AMOUNT |  |  | User | PRODUCT_ID | Activity Amount
A | 195597 | 1.99 |  |  | A |  |  |  | The maximum amount from A is inserted and the proudct ID that was purchased as well.
A | 704627 | 15 |  |  | B
A | 158876 | 19.99 |  |  | C
A | 308304 | 1 |  |  | D
A | 292412 | 5 |  |  | E
A | 277074 | 155.66 |  |  | F
B | 919993 | 22.99 |  |  | G
B | 283007 | 299.99 |  |  | H
C | 252213 | 2
C | 216627 | 117.72
D | 226964 | 1299.99
D | 243480 | 237.66
E | 261730 | 14.99 |  |  | Row Labels | [NAME] of ACTIVITY_AMOUNT
E | 277462 | 149.99 |  |  | A | 155.66
E | 159775 | 79.99 |  |  | B | 299.99
F | 273438 | 49.99 |  |  | C | 117.72
F | 264205 | 99.99 |  |  | D | 1299.99
G | 970673 | 99.9 |  |  | E | 149.99
G | 295175 | 99.99 |  |  | F | 99.99
H | 239082 | 49.99 |  |  | G | 99.99
H | 273594 | 59.99 |  |  | H | 59.99
H | 229240 | 16.49 |  |  | Grand Total | 1299.99
Spreadsheet: 21344e9c-e8f9-46e5-8140-9904bd1e3c32
Sheet: 5.Top Motifs

Rank | [NAME] | Avg_Expr Corr | P-Value | [NAME] | P-Value | [NAME] | [NAME]
1 |  | 0.4997 | 3.9563e-07 | 0.48136 | 1.1859e-06 | 1 | Pass |  | This table contains the motifs that have the highest correlation (Spearman) with the measured average and maximal expression levels. The p-values and the motif clan number are also presented. All the motifs have passed [NAME].
2 |  | 0.44404 | 9.2612e-06 | 0.39999 | 7.8023e-05 | 11 | Pass
3 |  | 0.43238 | 1.6766e-05 | 0.40345 | 6.6714e-05 | 4 | Pass
4 |  | 0.4023 | 7.028e-05 | 0.3753 | 0.0002276 | 14 | Pass
5 |  | 0.3742 | 0.00023798 | 0.41558 | 3.7965e-05 | 10 | Pass
6 |  | 0.3535 | 6.217e-05 | 0.35456 | 8.6767-05 | 12 | Pass
7 |  | 0.32318 | 1.082e-05 | 0.26869 | 0.00028743 | 7 | Pass
8 |  | 0.38631 | 0.00014269 | 0.3905 | 0.00011787 | 10 | Pass
9 |  | 0.37488 | 0.00037615 | 0.37583 | 0.00036255 | 3 | Pass
10 |  | 0.3733 | 0.0002473 | 0.3856 | 0.00014699 | 1 | Pass
11 |  | 0.35851 | 0.00044965 | 0.31891 | 0.00019456 | 2 | Pass
12 |  | 0.34261 | 0.00082855 | 0.3147 | 0.0017562 | 6 | Pass
13 |  | 0.3372 | 0.0010112 | 0.37613 | 0.00035826 | 1 | Pass
14 |  | 0.3191 | 0.0019335 | 0.35391 | 0.00053842 | 5 | Pass
15 |  | 0.2642 | 0.0003677 | 0.2936 | 0.0016483 | 12 | Pass
16 |  | 0.3375 | 0.0010033 | 0.3049 | 0.0031192 | 5 | Pass
17 |  | 0.32078 | 0.0026016 | 0.32226 | 0.0024783 | 8 | Pass
18 |  | 0.30662 | 0.0040866 | 0.30066 | 0.0049118 | 13 | Pass
19 |  | 0.3163 | 0.0030102 | 0.3389 | 0.0014128 | 9 | Pass
20 |  | 0.3147 | 0.0022457 | 0.3199 | 0.0018776 | 6 | Pass
21 |  | 0.3209 | 0.0025937 | 0.3076 | 0.0039598 | 14 | Pass
22 |  | 0.31222 | 0.0034277 | 0.31443 | 0.0031938 | 16 | Pass
Spreadsheet: 70136d1270830202-excel-2007-changing-cell-color-for-a-date-range-scratch
Sheet: Sheet1

License Plate | Make | GP# | VIN# | Last Service Mileage | Next Service Mileage | Dispatch From | Dispatch To | Last Service Date | Next Service Date | [NAME] 1=yes 0=no
1000 | Mercedes | L490184 | WDB9341615K885312 | 243984 |  | 2010-04-09 00:00:00 | 2010-04-23 00:00:00 | 2010-03-03 00:00:00 | 2010-06-01 00:00:00 | 0
2040 | International | L624205 | 1HSXRSBT67J415195 | 452323 |  | 2010-04-08 00:00:00 | 2010-04-22 00:00:00 | 2010-03-26 00:00:00 | 2010-06-24 00:00:00 | 0
2112 | international | l623550 | 1hsxrsbt77j437528 | 64982 |  | 2010-04-07 00:00:00 | 2010-04-21 00:00:00 | 2010-02-11 00:00:00 | 2010-05-12 00:00:00 | 0
2138 | international | [NAME] | 1hsxrsbt67j437584 | 83665 |  | 2010-04-06 00:00:00 | 2010-04-20 00:00:00 | 2010-03-19 00:00:00 | 2010-06-17 00:00:00 | 0
2147 | international | l623587 | 1hsxrsbt27j453524 | 74428 |  | 2010-04-05 00:00:00 | 2010-04-19 00:00:00 | 2010-04-04 00:00:00 | 2010-07-03 00:00:00 | 0
 |  |  |  |  |  | I will enter dates in this cell this date will always be lower then the date in the "dispatch to" cell | I will enter dates in this cell to change colors green,yellow,red for the 14 days the dispatch is good for acounting for todays date | This will be the same as the dispatch from date | This will be the same as the dispatch to date except this service date runs 90 days
 |  |  |  |  |  | examples | examples
 |  |  |  |  |  | 2010-04-03 00:00:00
 |  |  |  |  |  | 2010-03-28 00:00:00
 |  |  |  |  |  | 2010-03-15 00:00:00
Spreadsheet: errol_mclaughlin_jr__10848__ErrolWk8
Sheet: Sheet1

2001 NFL POOL
WEEK EIGHT
VISITOR |  |  |  | HOME |  | POINTS
Thursday 10/25/01
Indianapolis |  | at |  | Kansas City |  | 10
Sunday 10/28/01
Cincinnati |  | at |  | Detroit |  | 9
Jacksonville |  | at |  | Baltimore |  | 11
Minnesota |  | at |  | Tampa Bay |  | 6
New Orleans |  | at |  | St. Louis |  | 15
NY Jets |  | at |  | Carolina |  | 12
San Francisco |  | at |  | Chicago |  | 2
Arizona |  | at |  | Dallas |  | 3
Buffalo |  | at |  | San Diego |  | 14
Miami |  | at |  | Seattle |  | 7
New England |  | at |  | Denver |  | 8
Oakland |  | at |  | Philadelphia |  | 5
NY Giants |  | at |  | Washington |  | 13
Monday 10/29/01
Tennessee |  | at |  | Pittsburgh |  | 4
OPEN:
Atlanta
Cleveland
Green Bay
Submit picks by 7:00 PM Thursday
14 Games:  Rank games 2 to 15 (Total Points = 119)
NAME: |  | [NAME]
Spreadsheet: 7f4f71ab-4fec-4148-9937-9f21486049fa
Sheet: 14c

 | Swap Dealers/MSPs4 |  | Others
Product1 | Cleared2 | Uncleared | Cleared | Uncleared
Index Tranche | 0 | 7 | 0 | 1
Index | 13263 | 115 | 14940 | 81
OTHER* | 9 | 45 | 3 | 19
TOTAL | 13272 | 167 | 14943 | 101
*OTHER variable includes exotic credit products, swaptions, and total return swaps.
Spreadsheet: b514e5b9-8b6c-42dc-9f62-781797ae55d6
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
FLIMB | Test | FLIMB | [NAME] | [NAME] | DNA Sequencing  MLPA | EDTA (lavender-top) tube: EDTA |  |  | 20 | mL | Draw blood in a lavender-top (EDTA) tube(s). Ship 20 mL EDTA  whole blood ambient. Note:  Collection date is required. | 10 mL | Specimens other than	Whole blood Anticoagulants other than	EDTA Hemolysis	NA Thawing	NA Lipemia	NA Icteric	NA | A final report will be faxed under separate cover.   Test Performed By:  Athena Diagnostics                                          377 Plantation St.                                          Four Biotech Park                                          Worcester, MA  01605 | Monthly | 4-6 weeks | 4-6 weeks | 1 | 81404 |  |  |  |  | Athena Diagnostics
FLIMB | [NAME] | WBEDTA | [NAME] EDTA |  |  |  | Ambient | 72 hours
FLIMB | Result | Z0103 | [NAME] | [NAME] | Alphanumeric |  |  |  |  |  |  |  |  |  |  |  |  |  |  | In Process
Spreadsheet: 770326d1645993521-indirect-list-help-excelhelp
Sheet: Summary

 |  | Week 2
 |  | Monday | Tuesday | Wednesday | Thursday | Friday | Saturday
 |  |  |  |  |  |  |  |  | I need a forumla to display whos on a day off on a particular day, from the tables in whichever week is displayed in Cell C1.
 |  |  |  |  |  |  |  |  | So depending on which sheet name is in cell C1 it displays lists of days off from the table in whichever worksheet.
Spreadsheet: 850625d1701017750-counting-number-of-complaints-cases-etc-per-employee-example-workbookforum
Sheet: Employee IDs

Employee ID | Complaints | Conduct
423
432
999
2131
2342
2345
2365
2423
3123
3143
3213
3423
3849
4857
5006
5678
6756
7895
8374
8845
9384
9876
9889
21312
31221
Spreadsheet: 93041d1292532520-counting-duration-of-songs-problem
Sheet: Sheet1

TIME (when song played) (hh:[NAME]) | DATE (when song played) | ARTIST | SONG NAME | DURATION of SONG mm:ss
05:00:00 | 2010-01-01 00:00:00 | Bangles | Walk Like An Egyptian | 00:05:49
05:05:49 | 2010-01-01 00:00:00 | The Romantics | Talking In Your Sleep | 00:05:35
05:11:24 | 2010-01-01 00:00:00 | Ace Of Base | The Sign | 00:03:11
05:14:35 | 2010-01-01 00:00:00 | [NAME] | Freedom | 00:04:24
05:18:59 | 2010-01-01 00:00:00 | [NAME] | Runaway Train | 00:04:23
05:23:22 | 2010-01-01 00:00:00 | Red Hot Chili Peppers | Fortune Faded | 00:03:21
NEED FORMULA TO COUNT
TIME (when song played) (hh:[NAME]) | DATE (when song played) | ARTIST | SONG NAME | DURATION of SONG mm:ss
05:00:00 | 2010-01-01 00:00:00 | Bangles | Walk Like An Egyptian | 00:05:49
05:05:49 | 2010-01-01 00:00:00 | The Romantics | Talking In Your Sleep | 00:05:35
05:11:24 | 2010-01-01 00:00:00 | Ace Of Base | The Sign | 00:03:11
05:14:35 | 2010-01-01 00:00:00 | [NAME] | Freedom | 00:04:24
05:18:59 | 2010-01-01 00:00:00 | [NAME] | Runaway Train | 00:04:23
05:23:22 | 2010-01-01 00:00:00 | Red Hot Chili Peppers | Fortune Faded | 00:03:21
Spreadsheet: 713982d1611049234-extract-some-names-from-base-list-based-on-other-list-squadre
Sheet: Foglio2

 |  |  | Giornata
 | Atalanta |  |  |  |  |  |  |  |  | Pt | Gioc. | V | N | P | GF | GS
 | Inter |  |  |  |  |  |  |  | Atalanta
 | Juventus |  |  |  |  |  |  |  | Inter
 | [NAME] |  |  |  |  |  |  |  | Juventus
 | Milan |  |  |  |  |  |  |  | [NAME]
 | Napoli |  |  |  |  |  |  |  | Milan
 | Roma |  |  |  |  |  |  |  | Napoli
 |  |  |  |  |  |  |  |  | Roma
 |  |  |  |  |  |  |  |  |  | Pt | Gioc. | V | N | P | GF | GS
 |  |  |  |  |  |  |  |  | Atalanta
 |  |  |  |  |  |  |  |  | Inter
 |  |  |  |  |  |  |  |  | Juventus
 |  |  |  |  |  |  |  |  | [NAME]
 |  |  |  |  |  |  |  |  | Milan
 |  |  |  |  |  |  |  |  | Napoli
 |  |  |  |  |  |  |  |  | Roma
Spreadsheet: 330731d1404837327-formula-request-for-unique-entries-multinames
Sheet: Sheet2

 | SR. NO. | NAME OF STUDENT
 | 1 | [NAME]
 | 2 | Fred
 | 3 | [NAME]
 | 3 | [NAME]
 | 4 | [NAME]
 | 5 | [NAME]
 | 5 | [NAME]
 | 6 | Mack
 | 6 | Mack
 | 7 | Milton
 | 7 | Milton
 | 7 | Milton
 | 8 | Murphy
 | 9 | [NAME]
 | 10 | [NAME]
 | 11 | [NAME]
 | 12 | [NAME]
 | 13 | [NAME]
 | 13 | [NAME]
 | 14 | Vicky
Spreadsheet: 1e6cce0b-2348-4966-bb3f-8a6a81c01091
Sheet: Products3

Date | Product | Region | Amount
2007-04-09 00:00:00 | Dairy | Denmark | 1148
2007-05-26 00:00:00 | Produce | Denmark | 1530
2007-12-07 00:00:00 | Produce | Denmark | 1423.5
 |  | Denmark Total
2007-11-05 00:00:00 | Dairy | Finland | 192.1
2007-07-12 00:00:00 | Dairy | Finland | 351
2007-06-02 00:00:00 | Grain | Finland | 490.5
 |  | Finland Total
2007-08-30 00:00:00 | Dairy | Germany | 470
2007-07-26 00:00:00 | Dairy | Germany | 17.4
2007-09-24 00:00:00 | Grain | Germany | 1405
2007-10-30 00:00:00 | Grain | Germany | 470
2007-08-26 00:00:00 | Grain | Germany | 17.4
2007-07-07 00:00:00 | Grain | Germany | 447
2007-06-26 00:00:00 | Produce | Germany | 17.4
2007-07-07 00:00:00 | Produce | Germany | 747
 |  | Germany Total
2007-01-18 00:00:00 | Dairy | Italy | 3194.2
2007-02-13 00:00:00 | Dairy | Italy | 438.43
2007-12-18 00:00:00 | Produce | Italy | 3194.2
2007-03-13 00:00:00 | Produce | Italy | 438.43
 |  | Italy Total
Spreadsheet: 1c8f2473-2cd8-460e-bf3c-bbd4cafae3eb
Sheet: Table 6.1

Monthly Statistical Bulletin
6.1 International trade in goods and services
Month | 2009–10 | 2010–11 | 2011–12 | 2012–13 | 2013–14
Exports of goods and services (a) – $ million
July | 19308 | 25071 | 26137 | 25431 | 26425
August | 18834 | 24162 | 27876 | 24512 | 27599
September | 19890 | 24058 | 27087 | 24065 | 27225
October | 19461 | 24445 | 27170 | 24504 | 27320
November | 19123 | 24397 | 27135 | 24680 | 27367
December | 19860 | 24366 | 27018 | 24682 | 28385
January | 20659 | 23794 | 24663 | 24626 | 29361
February | 20756 | 23433 | 24348 | 25183 | 29375
March | 20899 | 25536 | 24632 | 25562 | 28458
April | 23307 | 25590 | 25841 | 25510 | 27803
May | 24487 | 26263 | 26390 | 26636 | 26495
June | 25874 | 25892 | 26193 | 26373 | 26620
Annual | 252458 | 297007 | 314490 | 301764 | 332433
Imports of goods and services (a) – $ million
July | 20940 | 23705 | 25480 | 27343 | 28000
August | 20476 | 22997 | 25823 | 26617 | 28400
September | 21921 | 22799 | 26071 | 26517 | 27937
October | 21457 | 23073 | 26338 | 26921 | 27857
November | 21146 | 22963 | 26572 | 27878 | 27621
December | 21943 | 23196 | 26319 | 26431 | 28342
January | 21812 | 22974 | 27308 | 26562 | 28577
February | 22199 | 23968 | 25658 | 26531 | 27822
March | 22851 | 24114 | 27064 | 26348 | 27833
April | 22969 | 24181 | 27034 | 26738 | 28852
May | 23463 | 24645 | 27526 | 27355 | 28537
June | 23840 | 24852 | 27314 | 27010 | 28302
Annual | 265017 | 283467 | 318507 | 322251 | 338080
(a) Balance of payments definition. Monthly figures are seasonally adjusted.
Source: ABS, International trade in goods and services, Cat. no. 5368.0 |  |  |  |  |  |  |  | Update
http://www.abs.gov.au/AUSSTATS/abs@.nsf/second+level+view?ReadForm&prodno=5368.0&viewtitle=International%20Trade%20in%20Goods%20and%20Services,%20Australia~Jan%202008~Latest~6/03/2008&&tabname=Past%20Future%20Issues&prodno=5368.0&issue=Jan%202008&num=&view=& | http://www.abs.gov.au/AUSSTATS/abs@.nsf/second+level+view?ReadForm&prodno=5368.0&viewtitle=International%20Trade%20in%20Goods%20and%20Services,%20Australia~Jan%202008~Latest~6/03/2008&&tabname=Past%20Future%20Issues&prodno=5368.0&issue=Jan%202008&num=&view=& | http://www.abs.gov.au/AUSSTATS/abs@.nsf/second+level+view?ReadForm&prodno=5368.0&viewtitle=International%20Trade%20in%20Goods%20and%20Services,%20Australia~Jan%202008~Latest~6/03/2008&&tabname=Past%20Future%20Issues&prodno=5368.0&issue=Jan%202008&num=&view=& | http://www.abs.gov.au/AUSSTATS/abs@.nsf/second+level+view?ReadForm&prodno=5368.0&viewtitle=International%20Trade%20in%20Goods%20and%20Services,%20Australia~Jan%202008~Latest~6/03/2008&&tabname=Past%20Future%20Issues&prodno=5368.0&issue=Jan%202008&num=&view=& | http://www.abs.gov.au/AUSSTATS/abs@.nsf/second+level+view?ReadForm&prodno=5368.0&viewtitle=International%20Trade%20in%20Goods%20and%20Services,%20Australia~Jan%202008~Latest~6/03/2008&&tabname=Past%20Future%20Issues&prodno=5368.0&issue=Jan%202008&num=&view=& |  |  |  | 2014-09-04 00:00:00
Spreadsheet: john_griffith__15796__10_22_01LO
Sheet: Sheet1

 |  |  | SCS  OPTION  DATA
 | TICKER | STRIKE | STR BID | STR ASK | B VOL | A VOL | M STD/DAY | WHEN
 | CL X1 | EXP |  |  | 63.1 | 74 | 0.95 | 2001-10-16 14:40:00
 | CL Z1 | 22 | 245 | 255 | 55.7 | 58 | 0.79 | 2001-10-22 10:08:00
 | CL F2 | 22.5 | 355 | 370 | 52.2 | 54.5 | 0.75 | 2001-10-22 10:08:00
 | CL G2 | 22.5 | 420 | 435 | 48.7 | 50.5 | 0.7 | 2001-10-22 10:08:00
 | CL H2 | 22.5 | 460 | 475 | 46.3 | 47.9 | 0.67 | 2001-10-22 10:08:00
 | CL J2 | 22.5 | 480 | 500 | 43.4 | 45.2 | 0.63 | 2001-10-22 10:08:00
 | CL K2 | 22.5 | 500 | 520 | 40.9 | 42.6 | 0.59 | 2001-10-22 10:08:00
 | CL M2 | 22.5 | 515 | 530 | 39.2 | 40.4 | 0.56 | 2001-10-22 10:08:00
 | CL N2 | 22.5 | 522 | 537 | 37.1 | 38.2 | 0.53 | 2001-10-22 10:08:00
 | CL Q2 | 22.5 | 525 | 540 | 35.3 | 36.3 | 0.51 | 2001-10-22 10:08:00
 | CL U2 | 22.5 | 530 | 545 | 34 | 35 | 0.49 | 2001-10-22 10:08:00
 | [NAME] | 22.5 | 530 | 545 | 32.4 | 33.3 | 0.46 | 2001-10-22 10:08:00
 | [NAME] | 21.5 | 535 | 555 | 31.8 | 33 | 0.44 | 2001-10-22 10:08:00
 | CL M3 | 21.5 | 535 | 560 | 27 | 28.3 | 0.37 | 2001-10-22 10:08:00
 | CL Z3 | 21.5 | 535 | 560 | 24.1 | 25.2 | 0.33 | 2001-10-22 10:08:00
Spreadsheet: 776621d1649832670-returning-array-for-use-in-sumifs-formula-example
Sheet: Sheet1

Group | Type | Value |  | Item | Group |  | Type | Item A
Group A | Type A | 10 |  | Item A | Group A |  | Type A
Group A | Type A | 15 |  | Item A | Group B |  | Type B
Group A | Type B | 12 |  | Item B | Group B
Group B | Type A | 14 |  | Item C | Group C
Group C | Type A | 2
Group C | Type B | 7
Spreadsheet: 210807d1359566818-working-with-duplicates-and-multiple-workbooks-excel-test-sheet-a
Sheet: .11

[NAME]
[NAME]
[NAME]
[NAME]
[NAME]
[NAME]
Greg
[NAME]
[NAME]
Jake
Lance
[NAME]
[NAME]
[NAME]
[NAME]
Quincy
[NAME]
[NAME]
[NAME]
Uther
Vance
Will
Xander
Yancy
[NAME]