tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 761416d1640883471-monthly-percentage-of-job-volumes-by-area-tangible-dashboard
Sheet: Areas & Volumes

 | OPERATIONS DASHBOARD
 | JOBS PER MONTH RECEIVED
 | BY REGION
 | AREA | JAN | FEB | MAR | APR | MAY | JUN | JUL | AUG | SEP | OCT | NOV | DEC
 | South East | 6 | 3 | 2 | 9 | 3 | 3 | 5 | 1 | 9 | 6 | 4 | 4
 | South West | 9 | 5 | 3 | 3 | 5 | 2 | 8 | 4 | 3 | 2 | 5 | 6
 | London | 8 | 4 | 3 | 3 | 5 | 2 | 8 | 4 | 3 | 2 | 5 | 6
 | Wales | 7 | 3 | 3 | 3 | 5 | 2 | 8 | 4 | 3 | 2 | 5 | 6
 | Midlands | 3 | 3 | 3 | 3 | 5 | 2 | 8 | 4 | 3 | 2 | 5 | 6
 | West midlands | 3 | 3 | 3 | 3 | 5 | 2 | 8 | 4 | 3 | 2 | 5 | 6
 | North West | 3 | 3 | 3 | 3 | 5 | 2 | 8 | 4 | 3 | 2 | 5 | 6
 | North East | 3 | 3 | 3 | 3 | 5 | 2 | 8 | 4 | 3 | 2 | 5 | 6
 | Scotland | 1 | 3 | 3 | 3 | 5 | 2 | 8 | 4 | 3 | 2 | 5 | 6
 | OPERATIONAL BREAKDOWN |  |  |  |  |  |  |  |  |  |  |  |  |  |  | DELIVERY SCOPE
 |  | JAN | FEB | MAR | APR | MAY | JUN | JUL | AUG | SEP | OCT | NOV | DEC | ALL |  |  | NEW | EXISTING
 | JOBS |  |  |  |  |  |  |  |  |  |  |  |  |  |  | DAYS | 8.2 | 3
 | PERCENTAGE |  |  |  |  |  |  |  |  |  |  |  |  |  |  | GOAL | 1 | 7
Spreadsheet: 0ee94326-0427-4d46-97a4-f37e93578bc9
Sheet: Sheet1

Release: International Financial Statistics | Unnamed: 1 | Unnamed: 2
Link: http://alfred.stlouisfed.org/release?rid=239
ALFRED (ArchivaL Federal Reserve Economic Data)
Economic Research Division
Federal Reserve Bank of St. Louis
File Created: 2014-12-22 4:48 PM CST
 | Real-Time | Period
Name: | Start | End
International Financial Statistics | 2011-10-13 00:00:00 | Current
Link:
http://www.imf.org/external/data.htm | 2011-10-13 00:00:00 | Current
Source:
International Monetary Fund | 2011-10-13 00:00:00 | Current
Notes:
The International Financial Statistics (IFS) consist of approximately | 2011-10-13 00:00:00 | Current
32,000 time series covering more than 200 countries starting in 1948.
Includes exchange rates, Fund accounts and the main global and country
economic indicators.
The IMF does not make this data available to the public free of charge
on its website.  The Federal Reserve Bank of St. Louis has been given
permission by the IMF to publish a limited number of IFS time series.
Release Dates Notes:
Release dates are determined by the following process:
When available, the actual release date as provided by the source is
entered into the ALFRED database.  If a release date is not available
from the source, the release date given by our data providers is used.
If a release date cannot be determined either from the source or from
our data providers, the date that the series was first available in
the St. Louis Fed's FRED database is used.
The release date list contains the dates when any series from this
release was revised.  Note that all series from a release do not
necessarily revise on every release date.
Release Dates:
2011-10-13 00:00:00
2012-02-08 00:00:00
2012-03-01 00:00:00
2012-04-02 00:00:00
2012-05-01 00:00:00
2012-06-01 00:00:00
2012-06-29 00:00:00
2012-08-02 00:00:00
2012-09-04 00:00:00
2012-10-01 00:00:00
2012-11-15 00:00:00
2012-12-03 00:00:00
2013-01-02 00:00:00
2013-02-01 00:00:00
2013-03-01 00:00:00
2013-04-01 00:00:00
2013-05-01 00:00:00
2013-06-03 00:00:00
2013-07-01 00:00:00
2013-08-01 00:00:00
2013-09-03 00:00:00
2013-10-01 00:00:00
2013-11-01 00:00:00
2013-12-02 00:00:00
2014-01-01 00:00:00
2014-02-03 00:00:00
2014-03-03 00:00:00
2014-04-01 00:00:00
2014-05-01 00:00:00
2014-06-02 00:00:00
2014-07-01 00:00:00
2014-08-01 00:00:00
2014-09-02 00:00:00
2014-10-01 00:00:00
2014-11-03 00:00:00
2014-12-01 00:00:00
Spreadsheet: 114315d1310071261-comparing-two-column-while-retaining-data-from-a-third-example-2
Sheet: Sheet1

 |  |  | Duplicate
Name1 | Ext | [NAME] | Name | Ext
[NAME] | 122 | [NAME]
[NAME] | 324 | [NAME]
[NAME] | 897 | [NAME]
[NAME] | 5645 | [NAME]
[NAME] | 822 | [NAME]
Fred | 113 | Oron
[NAME] | 368 | [NAME]
 | 125 | Zoe
 | 327 | Will
 | 900 | Qua
Spreadsheet: 64d26124-ca76-457b-94f6-2a646f2b03a2
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
SPSA | Test | SPSA | Prostate-Specific Antigen (PSA) Screen, Serum | Prostate-Specific Ag Screen, S | Electrochemiluminescent Immunoassay (ECLIA) | Plain, Red-Top Tube: Red |  |  | 0.6 | mL | Collection Container/Tube:  Preferred: Red top Acceptable: Serum gel Submission Container/Tube: Plastic vial [NAME]: 0.6 mL Additional Information:  1. Free PSA can only be added on within 12 hours of performing total PSA. [NAME] must have been shipped frozen. 2. Include patient's age. | 0.4 mL | Hemolysis	Mild OK; Gross reject Thawing	Warm reject; Cold OK  Lipemia	Mild OK; [NAME] OK Icterus	NA Other	NA | Males: Age (Years)	PSA Upper Limit (ng/mL) <40	< or =2.0 40-49	< or =2.5 50-59	< or =3.5 60-69	< or =4.5 70-79	< or =6.5 > or =80	< or =7.2   Females: not applicable | Monday through Friday; 5 a.m.-12 a.m., Saturday; 6 a.m.- 6 p.m. | Same day/1 day | 3 days | 1 | G0103 |  |  |  |  | Rochester
SPSA | [NAME] | SERUM | Serum |  |  |  | Frozen | 180 days
SPSA | Result | SPSA | Prostate-Specific Ag Screen, S | Prostate-Specific Ag Screen, S | Numeric |  |  |  |  | ng/mL |  |  |  |  |  |  |  |  |  | 2857-1
Spreadsheet: 2470b7d3-12f9-4b7e-be38-8f6cf004a696
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | EcoCheck Data: Overall Bay for all available years | 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
Indicator | 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
Chlorophyll a | 43.65 | 32.14 | 33.49 | 37.96 | 27.57 | 40.27 | 49.78 | 39.46 | 35 | 47.95 | 19.56 | 30.65 | 24.57 | 34.51 | 22.86 | 29.3 | 49.75 | 17.37 | 27.86 | 22.77 | 25.64 | 26.4 | 27 | 29.365 | 21.946
Aquatic Grasses | 25.63 | 26.83 | ND | 32.26 | 32.45 | 34.23 | 38.16 | 39.52 | 35.38 | 32.39 | 34.32 | 37.44 | 34.33 | 36.81 | 37.38 | 46.17 | 48.46 | 34.34 | 39.43 | 42.3 | 31.94 | 35 | 42 | 39 | 36.99928571
[NAME] | 80.97 | 78.04 | 83.21 | 76.91 | 78.15 | 78.66 | 85.01 | 77.85 | 80.78 | 81.8 | 79.15 | 84.59 | 78.14 | 83.11 | 83.09 | 82.55 | 85.67 | 73.86 | 82.78 | 73.12 | 83.13 | 82.71 | 80 | 80.592 | 80.81401
[NAME] | ND | ND | ND | ND | ND | ND | ND | ND | ND | ND | 52.41 | 49.25 | 42.01 | 49.65 | 50.76 | 47.79 | 46.77 | 40.96 | 52.68 | 41.17 | 40.81 | 42.6 | 42 | 53.17023822 | 46.7
Water Clarity | 41.06 | 32.88 | 33.36 | 26.88 | 26.65 | 35.97 | 37.55 | 17.48 | 21.7 | 32.25 | 13.5 | 21.42 | 20.67 | 22.96 | 14.29 | 27.9 | 32.89 | 8.2 | 9.76 | 8.68 | 7.06 | 12.12 | 14 | 25.97 | 18.457
Phytoplankton Index | 46.07 | 42.18 | 45.2 | 41.8 | 38.91 | 63.97 | 73.89 | 49.31 | 51.17 | 51.66 | 36.28 | 47.31 | 37.14 | 60.65 | 45.24 | 57.09 | 65.75 | 38.51 | 41.83 | 51.69 | 48.11 | 55 | 53 | 48.98384766 | 49.5
Water Quality Index | 55 | 47.66 | 50 | 47.22 | 44.1 | 51.63 | 57.47 | 44.91 | 45.82 | 54 | 37.39 | 45.51 | 41.1 | 46.85 | 40.07 | 46.55 | 56.08 | 33.11 | 40.09 | 34.82 | 38.59 | 40.41 | 40 | 45.309 | 40.40567
Biotic Index | 35.85 | 34.51 | Insufficient Data | 37.03 | 35.68 | 49.1 | 56.02 | 44.41 | 43.27 | 42.03 | 41 | 44.67 | 37.83 | 49.04 | 44.46 | 50.35 | 53.66 | 37.94 | 44.65 | 45.06 | 40.28 | 44.2 | 45 | 47.1 | 44.3997619
Bay Health Index | 45.43 | 41.08 | Insufficient Data | 42.13 | 39.89 | 50.36 | 56.75 | 44.66 | 44.55 | 48.01 | 39.2 | 45.09 | 39.46 | 47.94 | 42.27 | 48.45 | 54.87 | 35.52 | 42.37 | 39.94 | 39.43 | 42.31 | 42.87 | 46.2 | 42.40271595
Spreadsheet: 721397d1614690364-need-help-to-remove-false-and-shorten-the-formula-sample-workbook-revised-
Sheet: Manpower Cost

 |  | Cost per Minute
Doctors | Senior Consultant | 5
Doctors | Consultant | 4
Doctors | Associate Consultant | 3
Doctors | Resident | 2
Doctors | Medical Officer | 1
Nurses | Senior Nursing Officer | 8
Nurses | Nursing Officer | 7
Nurses | Assistant [NAME] | 6
Nurses | Senior Staff Nurse | 5
Nurses | Staff Nurse | 4
Nurses | Senior Assistant [NAME] | 3
Nurses | Assistant Nurse | 2
Nurses | Principal Assistant Nurse | 1
PSA | Senior PSA | 2
PSA | PSA | 1
AHP&Pharm | AHP (e.g. [NAME], Dietician, Psychologist, Podiatrist) | 6
AHP&Pharm | AHP Assistant (e.g. [NAME], [NAME], P&O Asst) | 5
AHP&Pharm | Pharmacist | 4
AHP&Pharm | Med Technologist | 3
AHP&Pharm | Radiographer | 2
AHP&Pharm | Phlebotomist | 1
Spreadsheet: 817063d1675970612-match-new-id-number-to-old-id-number-example-link
Sheet: Example 3

Expected value | TRANS_ID | Category | Transaction reference | ID Number
NEW | 14952314 | 1 | A123 | ABC
NEW | 14952338 | 1 | A456 | DEF
NEW | 14952722 | 1 | A456 | GHI
NEW | 14952339 | 2 | C689 | DEF
NEW | 14952403 | 2 | C689 | GHI
NEW | 14952422 | 2 | C689 | GHI
NEW | 26663164 | 2 | C689 | DEF
NEW | 14952324 | Production line | LINK | ABC
NEW | 14952407 | Production line | LINK | GHI
NEW | 22824917 | Production line | LINK | DEF
 | 29661561 | Production | LINK | NEW
 | 16972627 | 2 | D590 | NEW
 | 26432067 | 2 | D590 | NEW
 | 16973222 | 0 | E404 | NEW
 | 25804165 | 2 |  | NEW
 | 16972836 | 2 |  | NEW
 | 16973360 | 2 | G905 | NEW
 | 17353628 | 2 | G905 | NEW
 | 17353811 | 0 | G910 | NEW
Spreadsheet: 832444d1686326718-count-if-consecutive-values-are-true-skipping-blanks-formula-hansd-1-
Sheet: Sheet1

 |  |  |  |  |  |  |  |  |  |  |  | [NAME]. # consecutive TRUEs:
 |  | VALUE | FORMULA |  |  |  |  |  | VALUE | FORMULA | Should Be | Why
 |  | False |  |  |  |  |  |  | False |  | False | column j is false
 |  | True |  |  |  |  |  |  | False |  | False | column j is false
 |  | False |  |  |  |  |  |  | False |  | False | column j is false
 |  | False
 |  | True |  |  |  |  |  |  | True |  | False | column j is false
 |  | True |  |  |  |  |  |  | True |  | True | column j is true
 |  | True |  |  |  |  |  |  | True |  | False | column j is false
 |  | True |  |  |  |  |  |  | True |  | True | column j is true
 |  | True
 |  | True |  |  |  |  |  |  | True |  | True | column j is true
 |  | True |  |  |  |  |  |  | False |  | True | 5 in a row were true
 |  | False
 |  | True |  |  |  |  |  |  | False |  | True | 5 in a row were true
 |  | True |  |  |  |  |  |  | False |  | True | 5 in a row were true
 |  | False |  |  |  |  |  |  | True |  | True | 5 in a row were true
 |  | True
 |  | True |  |  |  |  |  |  | False |  | True | 5 in a row were true
Spreadsheet: 800668d1665785028-formula-to-get-value-according-date-copy-of-book1
Sheet: Sheet1

 |  |  |  |  |  |  | Date | 2022-10-13 00:00:00 | 2022-10-13 00:00:00 | 2022-10-13 00:00:00 | 2022-10-13 00:00:00 | 2022-10-13 00:00:00 | 2022-10-14 00:00:00 | 2022-10-14 00:00:00 | 2022-10-14 00:00:00 | 2022-10-14 00:00:00 | 2022-10-14 00:00:00 | 2022-10-15 00:00:00 | 2022-10-15 00:00:00 | 2022-10-15 00:00:00 | 2022-10-15 00:00:00 | 2022-10-15 00:00:00
 |  |  |  |  |  |  |  | Math | Science | Geo | History | English | Math | Science | Geo | History | English | Math | Science | Geo | History | English
 |  |  |  |  |  |  | George | A | A | A | P | P | A | A | A | A | A | A | A | P | A | A
 |  |  |  |  |  |  | [NAME] | P | P | P | P | P | A | A | A | A | A | P | P | P | P | A
 |  |  |  |  |  |  | Leen | A | A | A | A | P | P | P | P | P | P | P | P | P | P | A
 |  |  |  |  |  |  | [NAME] | A | P | P | A | A | P | A | A | A | A | A | A | A | A | A
 |  |  |  |  |  |  | [NAME] | A | A | A | A
 |  |  |  |  |  |  | Sara | A | A | A |  |  | A | A | A | A | A | P | P | P | P | P
 |  |  |  |  |  |  | Toni | A | A | A | P | P |  | A | A | A | A
 |  |  |  |  |  |  | [NAME] | A | A | A | A | A | P | P | P | P | P
 |  |  |  |  |  |  | Rachel | A | A | A | A | P | A | A | A | A | A | A | A | A | A | P
 |  |  |  |  |  |  | Dima | A | A | A | A | A | P | A | A | A | A | P | A | A | A | A
 |  |  |  |  |  |  | each date has five hours for five subject along the year
 |  |  |  |  |  |  | I need formula to search for the name that has at least one letter A as ( Absent ) and get the five letter (A and P)  according the date I entered below
 |  |  |  |  |  |  | and ignore the name that has letter P as (Present) in the five hours in that date
 |  |  |  |  |  |  | Example
 |  |  |  |  |  |  | Date | 2022-10-13 00:00:00 |  |  |  |  |  | if date I cell I25 = 15-10-2022
 |  |  |  |  |  |  | Result shoud be as below |  |  |  |  |  |  | Result shoud be as below
 |  |  |  |  |  |  | George | A | A | A | P | P |  | George | A | A | P | A | A | and so on
 |  |  |  |  |  |  | Leen | A | A | A | A | P |  | [NAME] | P | P | P | P | A
 |  |  |  |  |  |  | [NAME] | A | P | P | A | A |  | Leen | P | P | P | P | A
 |  |  |  |  |  |  | [NAME] | A | A | A | A |  |  | [NAME] | A | A | A | A | A
 |  |  |  |  |  |  | Sara | A | A | A |  |  |  | Rachel | A | A | A | A | P
 |  |  |  |  |  |  | Toni | A | A | A | P | P |  | Dima | P | A | A | A | A
 |  |  |  |  |  |  | [NAME] | A | A | A | A | A
 |  |  |  |  |  |  | Rachel | A | A | A | A | P
 |  |  |  |  |  |  | Dima | A | A | A | A | A
Spreadsheet: ac77353d-0cd6-4d4c-839d-e9a625061dfa
Sheet: Table 1.6

Monthly Statistical Bulletin
1.6 ANZ job advertisements
Month | 2010–11 | 2011–12 | 2012–13 | 2013–14 | 2014–15
Advertisements (a) (b) – number
July | 164503.796 | 172475.31 | 156637.951 | 128103.101 | 133400.659
August | 168265.831 | 171385.212 | 153037.956 | 127057.527 | 133779.125
September | 171997.556 | 170226.551 | 149082.336 | 126376.634
October | 175298.069 | 169104.419 | 145248.939 | 126044.209
November | 177974.397 | 168005.191 | 141999.95 | 126345.408
December | 179604.127 | 167008.634 | 139580.825 | 127239.52
January | 179869.678 | 166257.946 | 137888.546 | 128471.153
February | 178986.607 | 165441.73 | 136577.21 | 129733.121
March | 177492.326 | 164463.722 | 135177.233 | 130838.78
April | 175884.318 | 163276.741 | 133425.79 | 131697.908
May | 174502.035 | 161720.028 | 131443.896 | 132297.946
June | 173422.097 | 159556.874 | 129571.61 | 132819.39
Annual average | 174478.4541666667 | 166697.545625 | 141106.5786811411 | 128889.678058186
Annual change (b) – per cent
July | 34.77608416623852 | 4.845793345704918 | -9.182391960913128 | -18.21707307700929 | 4.13538623081422
August | 37.29921053486627 | 1.853841021353886 | -10.70527368487311 | -16.97646105519078 | 5.29020055616225
September | 37.86986129782257 | -1.029668700641306 | -12.42122035357457 | -15.23031004826756
October | 36.31892937028505 | -3.533210625383443 | -14.10695246231264 | -13.22194167628309
November | 33.23083638324249 | -5.601483229073678 | -15.47883184157088 | -11.02432923391875
December | 29.23316457232204 | -7.012919586196375 | -16.42298864620375 | -8.841690826802328
January | 24.79376539305962 | -7.567552325300775 | -17.06348519426554 | -6.829713760271283
February | 20.27728784821823 | -7.567536603450997 | -17.44694038197014 | -5.011150103300544
March | 16.15724082545047 | -7.340375943915456 | -17.80726390224831 | -3.209455396975025
April | 12.69246541027562 | -7.168107505752729 | -18.28242701145045 | -1.295013505260123
May | 9.954193302208036 | -7.32484695665584 | -18.72132498023064 | 0.6497448919195126
June | 7.450567713742706 | -7.995072853951246 | -18.79283746809931 | 2.506552168333798
Annual average | 25.02537913597214 | -4.459524001877132 | -15.35173589263753 | -8.65792419966585
(a) Average total number of newspaper and internet job advertisements per week.
(b) Monthly figures are trend. Annual figures are from the original series. |  |  |  |  |  |  |  | Update
Source: ANZ Banking Group, Job advertisements series |  |  |  |  |  |  |  | 2014-09-08 00:00:00
Spreadsheet: 840972d1693238069-how-to-make-a-condicional-formating-for-this-88
Sheet: Folha1

 |  |  |  |  |  |  |  |  |  |  |  |  | the conditional formating must read the date in "M8"
 |  |  |  |  |  |  |  |  |  | JANUARY |  | JANUARY
 |  |  |  |  |  |  |  |  |  | FEBRUARY |  | FEBRUARY
 |  |  |  |  |  |  |  |  |  | [NAME] |  | [NAME]
 |  |  |  |  |  |  |  |  |  | APRHIL |  | APRHIL
 |  |  |  |  |  |  |  |  |  | MAY |  | MAY
 |  |  |  |  |  |  |  |  |  | [NAME] |  | [NAME]
 |  |  |  |  |  |  |  |  |  | JULY |  | JULY
 |  |  |  |  |  |  |  |  |  | AGOST |  | AGOST
 |  |  |  |  |  |  |  |  |  | SETEMBER |  | SETEMBER
 |  |  |  |  |  |  |  |  |  | OCTOBER |  | OCTOBER
 |  |  |  |  |  |  |  |  |  | NOVEMBER |  | NOVEMBER
 |  |  |  |  |  |  |  |  |  | [NAME] |  | [NAME]
Spreadsheet: 817579d1676328315-help-with-calculating-pay-increase-in-the-middle-of-a-fiscal-year-for-budget-document-budget-doc
Sheet: Raw Data

 |  |  |  |  |  |  |  |  |  | Salary |  |  | *Effective this month |  |  | *Effective this month - needs to include anniversary increase
Name | Hire Date | Annual Hours | Rate | Salary | Increase Month | % increase | COLA Increase | % Increase | Ending Salary | 2023-07-01 00:00:00 | 2023-08-30 00:00:00 | 2023-09-01 00:00:00 | 2023-10-31 00:00:00 | 2023-11-01 00:00:00 | 2023-12-31 00:00:00 | 2024-01-01 00:00:00 | 2024-02-28 00:00:00 | 2024-03-01 00:00:00 | 2024-04-30 00:00:00 | 2024-05-01 00:00:00 | 2024-06-30 00:00:00
EE | 2020-10-01 00:00:00 | 2080 | 40 |  | 2023-10-01 00:00:00 | 0.05 | 2024-01-01 00:00:00 | 0.01
Spreadsheet: 186813d1350233762-chart-not-displaying-correct-number-format-testchart
Sheet: Sheet1

Week | Qty | Cost | Cost/Unit |  | Week |  | 3
1 | 54.82084906491891 | 5014.306578559392 |  |  | 5
2 | 435.3437833963958 | 7883.92266427359
3 | 273.9099643596542 | 3267.138705395416
4 | 188.4213757902287 | 2814.596637954327
5 | 740.8877561549945 | 7113.795167669196 |  |  |  | Week
6 | 393.3886357606472 | 5931.332430934733
7 | 64.75452866908205 | 2771.060735802992
8 | 278.8952969468522 | 4126.139484320229
9 | 642.8963420407314 | 9243.255472611248
10 | 669.3707433884177 | 2020.377517386542
Spreadsheet: 716e7c89-7347-4aa6-8f1b-66693a7b3cd6
Sheet: Sheet1

Gene sets enriched in non-responder samples | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4
NAME | SIZE | NES | NOM p-val | [NAME] q-val
SCHURINGA_STAT5A_UP | 23 | 2.578113 | 0 | 0
UVC_XPCS_ALL_DN | 478 | 2.417175 | 0 | 0
[NAME] | 24 | 2.3755076 | 0 | 0.00027789935
CHEN_HOXA5_TARGETS_UP | 229 | 2.3645961 | 0 | 0.0002084245
UVC_XPCS_8HR_DN | 408 | 2.3594496 | 0 | 0.0001667396
HSC_MATURE_SHARED | 251 | 2.3016157 | 0 | 0.0002788175
CMV_HCMV_TIMECOURSE_18HRS_UP | 74 | 2.265597 | 0 | 0.0003560371
TOB1PATHWAY | 17 | 2.2513568 | 0 | 0.00031153247
UVB_NHEK1_DN | 270 | 2.2388964 | 0 | 0.00027691777
HSC_MATURE_FETAL | 325 | 2.216535 | 0 | 0.00049342186
Gene sets enriched in responder samples
NAME | SIZE | NES | NOM p-val | [NAME] q-val
ROSS_MLL_FUSION | 83 | -2.747496 | 0 | 0
[NAME] | 52 | -2.3472035 | 0 | 0
LIZUKA_L0_SM_L1 | 19 | -2.2866771 | 0 | 0
UVB_NHEK2_UP | 68 | -2.2700462 | 0 | 0
CHEN_HOXA5_TARGETS_DN | 47 | -2.2310379 | 0 | 0.00021857659
HOHENKIRK_MONOCYTE_DEND_DN | 119 | -2.1785457 | 0 | 0.00072685216
EICOSANOID_SYNTHESIS | 17 | -2.1484334 | 0 | 0.00094127085
APPEL_IMATINIB_UP | 31 | -2.138995 | 0 | 0.00095795357
ELECTRON_TRANSPORT_CHAIN | 98 | -2.1376011 | 0 | 0.0008515142
VERHAAK_AML_NPM1_MUT_VS_WT_UP | 189 | -2.1298761 | 0 | 0.0008772564
[NAME] | 77 | -2.1190362 | 0 | 0.0007975058
Details of gene sets can be found at http://www.broad.mit.edu/gsea/
Note:
5 of the 23 genes in the [NAME] gene set are also in the lenalidomide response signature
4 of the 24 genes in the GATA1 WELCH_GATA1 gene set are also in the lenalidomide response signature
Spreadsheet: 156429d1337283913-looping-if-function-to-a-new-sheet-pick-sheet-and-material-req-for-work-sheet
Sheet: PickSheet

XPROOF FITTINGS
CPS 152 R
[NAME]
DSD 923 SA
DSD 925 SA
DSD 948J1SA
DSFS933 SA
DSFS9100SA
ECD 15
EDSC 271 SA
EDSC 272 SA
EYS 216 SA
GUA 062 GB SA
GUAB 26 SA
GUAC 26 SA
GUAD 26 SA
GUAL 26 SA
GUAT 26 SA
LBY 25 SA
LBY 35 SA
UNF 105 SA
UNL 105 SA
UNY 105 SA
UNL 125 SA
UNF 205 SA
UNL 205 SA
UNY 205 SA
UNF 305 SA
RE 21 SA
PLG 1 SA
PLG28SA
PLG 3 SA
PLG 2 SA
XT 311
290 G COVER
C29
LB29
LL29
LR29
T29
TB29
X29
H050 GRAC
H075 GRAC
A120010PGC (1-5/8 ST STRUT)
[NAME] (1" ST STRUT)
H10438X10EGC (3/8" [NAME])
ALT04V3 (4" Inst. Tray)
STL2
A100-1/4 EGC
CPC050
CPC075
VXHBF22GP
EVI301
EVLP14151TTLX 150HPS
EVLP19171/TT 175MH
VMVS150/TT-LX
VMVS70/TT-LX
TWM2
P21
[NAME]
Spreadsheet: 060d6a36-cf1f-4f54-89d9-895d9bbd9855
Sheet: Quarterly - Long-Term Infl Exp

Quarterly Question: Projecting ahead, to the best of your ability, please assign a percent likelihood to the following changes to unit costs per year over the next FIVE TO 10 years.
Month | Number of Responses | Unit costs down  (<-1%) | Unit costs about unchanged  (-1% to 1%) | Unit costs up somewhat (1.1% to 3%) | Unit costs up significantly (3.1% to 5%) | Unit costs up very significantly  (>5%) | Mean | [NAME]
2012-02-17 00:00:00 | 89 | 0.04078651685393259 | 0.1143820224719101 | 0.3788764044943821 | 0.292134831460674 | 0.1738202247191011 | 0.029 | 0.028
2012-04-13 00:00:00 | 152 | 0.03684210526315786 | 0.1152631578947368 | 0.3626315789473684 | 0.300921052631579 | 0.184342105263158 | 0.03 | 0.026
2012-07-20 00:00:00 | 153 | 0.04006493506493503 | 0.1491558441558442 | 0.3570779220779222 | 0.2640259740259741 | 0.1896753246753247 | 0.028 | 0.029
2012-10-19 00:00:00 | 196 | 0.0387301587301587 | 0.1275661375661376 | 0.3616402116402118 | 0.2974603174603175 | 0.1746031746031747 | 0.029 | 0.027
2013-01-11 00:00:00 | 196 | 0.03195121951219512 | 0.12 | 0.32 | 0.28 | 0.23 | 0.03 | 0.025
2013-04-12 00:00:00 | 189 | 0.03635279463762396 | 0.1247942885739619 | 0.3830080704715921 | 0.2586793008840816 | 0.1971655454327405 | 0.029 | 0.022
2013-07-12 00:00:00 | 209 | 0.04 | 0.14 | 0.37 | 0.28 | 0.15 | 0.028 | 0.024
2013-10-11 00:00:00 | 216 | 0.04 | 0.15 | 0.45 | 0.26 | 0.11 | 0.027 | 0.024
2014-01-10 00:00:00 | 208 | 0.03848039215686271 | 0.1973684210526316 | 0.4276315789473685 | 0.2142105263157895 | 0.113421052631579 | 0.02805294117647058 | 0.02304741176470588
2014-04-11 00:00:00 | 181 | 0.0337142857142857 | 0.1647058823529411 | 0.4161764705882353 | 0.2970588235294118 | 0.0808823529411765 | 0.027 | 0.025
Spreadsheet: 148677d1333506886-keep-duplicate-data-example
Sheet: Sheet2

[PHONE]
[PHONE]
[PHONE]
000104687X
[PHONE]
[PHONE]
[PHONE]
[PHONE]
[PHONE]
[PHONE]
000104799X
[PHONE]
[PHONE]
[PHONE]
[PHONE]
[PHONE]
[PHONE]
[PHONE]
[PHONE]
000123207X
[PHONE]
[PHONE]
[PHONE]
[PHONE]
[PHONE]
Spreadsheet: 166705d1341745307-index-match-query-sample1
Sheet: P2 TIMESHEET JUN 2012

Employee No | Employee Name | OCCUPATION | Grade
70068 | Thekkethil, [NAME] | Payroll Supervisor | C5
70452 | Singh, Bahadur | Foreman - Jnr | C1
70452 | Singh, Bahadur | Foreman - Jnr | C1
70455 | Ram, [NAME] | Foreman - Jnr | C1
70481 | Boudiab, [NAME] | Site Manager | D2
70483 | Mangwenge, Kangiso Trust | Section Manager | D1
70582 | [NAME], [NAME] | Coordinator - Logistics | D1
70582 | [NAME], [NAME] | Coordinator - Logistics | D1
70597 | Mol, [NAME] | Contract Manager - Snr
70625 | [NAME], Sameer [NAME] | General [NAME] | C4
70625 | [NAME], Sameer [NAME] | General [NAME] | C4
Spreadsheet: 93154d1292693906-productivity-ranking-sample
Sheet: Sheet1

 |  |  |  | player 1 | player 2 | player 3 | player 4
 |  |  | 1 | 82895 | 27509 | 98029 | 97095
 |  |  | 2 | 36888 | 27138 | 51660 | 26761 |  |  | INPUT
 |  |  | 3 | 57092 | 67226 | 99287 | 85585 |  |  | Task Date Hrs
 |  |  |  |  |  |  |  |  |  | 1 14-Dec-10 1
 |  |  |  |  |  |  |  |  |  | 2 14-Dec-10 3
 |  |  |  |  |  |  |  |  |  | 2 12-Dec-10 2
 |  |  |  |  |  | 2009-11-02 17:25:00 |  |  |  | 2 14-Dec-10 0.5
 |  |  |  |  |  | 2010-02-11 14:45:00 |  |  |  | 1 16-Dec-10 2
 |  |  |  |  |  |  |  |  |  | 2 16-Dec-10 1
 |  |  |  |  |  |  |  |  |  | OUTPUT
 |  |  |  |  |  |  |  |  |  | Task Start Date End Date Hrs
 |  |  |  |  |  |  |  |  |  | 1 14-Dec-10 16-Dec-10 3
 |  |  |  |  |  |  |  |  |  | 2 12-Dec-10 16-Dec-10 6.5
 |  |  |  |  |  |  |  |  | 1 | 2010-12-14 00:00:00
 |  |  |  |  |  |  |  |  | 2 | 2010-12-14 00:00:00
 |  |  |  |  |  |  |  |  | 2 | 2010-12-12 00:00:00
 |  |  |  |  |  |  |  |  | 2
 |  |  |  |  |  |  |  |  | 1
 |  |  |  |  |  |  |  |  | 2