tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 53276d1253182990-problem-with-macro-to-autofilter-sheet-filterproblem
Sheet: Risks

 |  |  | Risks And Issues
Risk ID | Team | Program | Account / Ledger / Project Name | Period Raised | Status | Cause | Risk / Issue Description | Risk Owner | Impact | Rating (LMHC) | Likelyhood | Impact | Severity | Actions To Resolve Issue | Mitigating Action | Progress Updates (Date - Description)
1 | Branch |  |  | 2 | Open |  |  |  |  | Medium | 3 | 5 | 6
2 | MOP |  |  | 2 | Open |  |  |  |  | Medium | 3 | 3 | 9
3 | BFS |  |  | 3 | Open |  |  |  |  | Critical | 5 | 5 | 25
4 | Branch |  |  | 4 | Open |  |  |  |  | Low | 1 | 1 | 1
5 | GMS |  |  | 5 | Open |  |  |  |  | Medium | 3 | 3 | 9
6 | Reporting & Analysis |  |  | 6 | Closed |  |  |  |  | Medium | 3 | 4 | 12
7 | Reporting & Analysis |  |  | 6 | On Hold |  |  |  |  | Critical | 6 | 4 | 24
8 | Branch |  |  | 6 | Closed |  |  |  |  | High | 4 | 5 | 20
9 | BUG |  |  | 6 | Closed |  |  |  |  | High | 4 | 5 | 20
10 | Health & Safety |  |  | 5 | Closed |  |  |  |  | Low | 2 | 2 | 4
11 | Health & Safety |  |  | 4 | Open |  |  |  |  | Low | 2 | 2 | 4
12 | Branch |  |  | 3 | On Hold |  |  |  |  | Low | 2 | 2 | 4
13 | Reporting & Analysis |  |  | 2 | Closed |  |  |  |  | Medium | 3 | 2 | 6
14 | BFS |  |  | 6 | Open |  |  |  |  | Low | 2 | 2 | 4
15 | BFS |  |  | 5 | Open |  |  |  |  | Medium | 3 | 4 | 12
16 | GMS |  |  | 6 | Open |  |  |  |  | High | 4 | 4 | 16
17 | GMS |  |  | 5 | Open |  |  |  |  | High | 4 | 5 | 20
18 | Health & Safety |  |  | 6 | Open |  |  |  |  | Critical | 4 | 6 | 24
19 | Branch |  |  | 2 | Open |  |  |  |  | Low | 1 | 3 | 3
20 | Reporting & Analysis |  |  | 1 | Open |  |  |  |  | Low | 1 | 4 | 4
21 | Reporting & Analysis |  |  | 2 | Open |  |  |  |  | Low | 1 | 5 | 5
22 | Health & Safety |  |  | 4 | Open |  |  |  |  | Medium | 1 | 6 | 6
23 | BUG |  |  | 2 | Closed |  |  |  |  | Critical | 5 | 6 | 30
24 | Branch |  |  | 2 | On Hold |  |  |  |  | High | 4 | 5 | 20
Spreadsheet: 4175fd1c-e617-4227-a163-6eba5fddd28f
Sheet: 2015-2016

2015-2016 Class Schedule |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | You may select up to three classroom attributes.  Select only course requirements, as the number of available classrooms will be reduced with each attribute selected.
Philosophy
Spring 2016
Subject | Course and Title | Subtitle/Alternate Title | Days | Times | Sec | Part of Term | Credits | Hamline Plan | Instructor(s) | Instructor ID | FT or Adj | [NAME] | Registration Approval Required? | [NAME] | Seats to be Saved | Saved Seats Type | Campus: [NAME], [NAME], Online, Blended |  |  |  | Cross list? SUBJ CRSE SEC | XLST total enrl | Areas of Study | Comments
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Classroom Attribute A | Classroom Attribute B | Classroom Attribute C
Spreadsheet: louise_kitchen__24045__West Power Consolidation
Sheet: Origination

 |  | 2001-09-01 00:00:00 |  | 2001-09-01 00:00:00 |  | % of
 |  | YTD Actual |  | Annualized |  | Total Exp
ENACOMP | Compensation
 | Special Pays | 150000
 | Analysts & Associates
ENABENTX | Benefits & Payroll Taxes
ENAEMPEX | Employee Expense
ENAT&EEX | Travel & Entertainment Expense
ENAOUTSV | Outside Services
ENASUPP | Supplies Expense
ENAMKTEX | Marketing
ENACONTR | Charitable Contributions
ENARENT | Rent
ENATECH | Technology
ENATRANS | Transportation
ENAOTHEX | Other Expenses
ENATAXES | Taxes Other than Income
ENATOTDR | Total Direct Expenses
 | Headcount |  |  | 14
 | Analyst & Associate Headcount |  |  | 2
 | Total Headcount
ENAOUTLG | Outside Legal
ENAOUTTX | Outside Tax
ENAINSUR | Insurance
ENASYSDV | System Development
ENACORIT | Controllable Infrastructure
ENACORRN | Corporate Rent
ENAOTHAL | Other Allocated Direct  Expenses
ENADEPR | Depreciation & Amortization
 | Relocation Exp | 243381
 | Project costs
Spreadsheet: 747528d1631554557-formula-to-automatically-calculate-the-current-pto-accrual-by-paycheck-date-pto-for-year-to-last-pay-date-chocolista-
Sheet: Start Check

 | Current Rollover as of: | Earned as of: | Accrued Total less any Vacation Taken:
 | 2021-01-01 00:00:00
Adams, [NAME] | 0
Barnes, [NAME] | 0
Jones, Greg
[NAME], [NAME]
[NAME], [NAME] | 0
Spreadsheet: 825684d1681467964-need-help-with-countif-filter-formulae-autombile-exc
Sheet: Sheet1

ID | Gender | Age | Frequency | Vehicle  type | Brand
1 | male | 45 | mostly | Petrol | BMW |  | 1. Which are top 4 car brand preferred by [NAME] type |  |  |  | 14
2 | female | 25 | mostly | Diesel | Toyota |  | 2. What % of the respondents belong to the 25-34 age group (age)? |  |  | BMW | 10
3 | female | 42 | mostly | Manual | WV |  | 3. How often do the majority of people use Vehicle (Frequency |  |  | Mini | 4
4 | female | 35 | mostly | Electric | WV |  |  |  |  | Rolls Royce | 3
5 | female | 62 | mostly | Electric | Rolls Royce
6 | female | 43 | rarely | Electric | WV
7 | female | 47 | mostly | Electric | Ford
8 | female | 57 | mostly | Manual | Mini
9 | male | 36 | mostly | Electric | Mini
10 | female | 37 | rarely | Electric | Rolls Royce
11 | female | 42 | mostly | Electric | WV
12 | male | 37 | mostly | Manual | other
13 | female | 25 | mostly | CNG | WV
14 | male | 42 | mostly | Electric | BMW
15 | female | 35 | rarely | Manual | WV
16 | female | 62 | mostly | Manual | Mini
17 | female | 43 | sometimes | Electric | BMW
18 | female | 47 | mostly | Electric | Rolls Royce
19 | female | 57 | rarely | other | BMW
20 | female | 36 | sometimes | Manual | WV
21 | female | 37 | sometimes | Electric | Mini
22 | male | 42 | sometimes | Electric | BMW
23 | female | 37 | sometimes | Electric | BMW
24 | female | 36 | sometimes | Electric | WV
25 | female | 43 | rarely | Electric | Mini
26 | male | 51 | mostly | Electric | BMW
27 | female | 46 | mostly | Electric | WV
28 | female | 45 | sometimes | sensitive | other
29 | male | 50 | mostly | Electric | WV
30 | female | 49 | mostly | Electric | WV
31 | female | 46 | mostly | Electric | BMW
32 | female | 40 | rarely | Manual | BMW
33 | female | 42 | mostly | Electric | Mini
34 | male | 67 | mostly | Electric | WV
35 | female | 30 | rarely | sensitive | BMW
36 | female | 58 | rarely | Manual | WV
37 | female | 48 | mostly | Manual | WV
38 | female | 59 | mostly | Electric | WV
39 | female | 44 | mostly | Electric | WV
40 | female | 46 | mostly | Electric | WV
41 | female | 45 | mostly | Electric | WV
42 | female | 25 | rarely | Electric | WV
43 | male | 42 | rarely | Electric | BMW
44 | female | 37 | mostly | Electric | BMW
45 | female | 40 | mostly | Petrol | BMW
46 | female | 37 | mostly | Manual | other
47 | female | 31 | mostly | Electric | BMW
48 | female | 58 | mostly | Electric | BMW
49 | female | 31 | mostly | Electric | WV
Spreadsheet: 677905d1589574865-lookup-column-a-for-the-maximum-value-until-a-certain-value-is-reached-in-column-b-excel-help-2
Sheet: Sheet1

official_rating | placing_numerical | Prev Rating
0 | 1 | 74
0 | 2 | 74
0 | 3 | 74
74 | 4 | 74
0 | 5 | 74
0 | 6 | 74
0 | 7 | 74
76 | 1 | 76
75 | 2 | 76
0 | 3 | 76
0 | 4 | 76
0 | 5 | 76
0 | 6 | 76
0 | 7 | 76
0 | 8 | 76
0 | 9 | 76
0 | 10 | 76
0 | 11 | 76
0 | 12 | 76
0 | 13 | 76
0 | 14 | 76
0 | 15 | 76
0 | 16 | 76
0 | 17 | 76
0 | 18 | 76
80 | 1 | 93
92 | 2 | 93
81 | 3 | 93
88 | 4 | 93
78 | 5 | 93
76 | 6 | 93
77 | 7 | 93
93 | 8 | 93
75 | 9 | 93
71 | 10 | 93
80 | 11 | 93
82 | 12 | 93
77 | 13 | 93
92 | 14 | 93
80 | 1 | 92
92 | 2 | 92
86 | 3 | 92
85 | 4 | 92
84 | 5 | 92
80 | 6 | 92
80 | 7 | 92
80 | 8 | 92
80 | 9 | 92
Spreadsheet: 854253d1704200935-running-total-excluding-values-from-one-column-if-a-different-column-is-blank-grants_anonymised
Sheet: Sheet1

Month Profiled | € Profiled | € Additional | € Reduction | € Total to Pay (AUTOCALCULATED) | Month Paid | Spend to date (AUTOCALCULATED)
February | 1000000 |  |  |  | February
February | 3815000
March | 50000 |  |  |  | March
March | 1750000
April | 750000
April | 800000
May | 246000
June | 2000000
June | 1500000
June | 3500000
June | 250000
June | 300000
July | 2500000
September | 1000000
October | 200000
October | 535000
October | 600000
October | 400000
November | 10000000
Total
Spreadsheet: ryan_slinger__33678__6_9act
Sheet: EPEData

 | 37109.29513888889
 | NEWMAN 1 ,MANL, 33  , 68  , 38  , 83  ,  0  ,1
 | NEWMAN 2 ,MANL, 33  , 77  , 37  , 82  ,  0  ,1
 | NEWMAN 3 ,ECON, 35  ,100  , 35  ,103  , 60  ,1
 | NEWMN/GT1,UNAV,  0  , 60  , 18  , 60  ,  0  ,1
 | NEWMN/GT2,UNAV,  0  , 60  , 18  , 60  ,  0  ,1
 | NM/GT1+ST,UNAV,  0  ,100  , 61  ,107  ,  0  ,1
 | NM/GT2+ST,UNAV,  0  ,100  , 66  ,107  ,  0  ,1
 | NEWMAN 4 ,ECON,134  ,214  , 86  ,214  , 78  ,1
 | NEWMAN   ,, 240 ,  459,  196, 482 , 138 ,
 | COPPER   ,[NAME], -0  , 69  , 15  , 69  ,  0  ,1
 | RIOGRAN 6,UNAV,  0  , 40  , 28  , 48  ,  0  ,1
 | RIOGRAN 7,MANL, 30  , 32  , 30  , 49  ,  0  ,1
 | RIOGRAN 8,MANL, 87  , 90  , 60  ,151  ,  0  ,1
 | RIOGRANDE,, 117 ,  122,   90, 200 ,   0 ,
 | PALOVERDE,MANL,394  ,394  ,394  ,600  ,  0  ,1
 | FOURCRNRS,MANL,105  ,105  ,105  ,104  ,  0  ,1
 | LAMBDA, 34.38,  794,  824,  223,   24,   31,20418,83
 | APS     ,STRT    ,FC,  ,   1,   1
 | IID     ,EXCS    ,FC,  ,  50,  50
 | IID     ,FIRM    ,PV,  , 100, 100
 | LDWP    ,ECON    ,PV,  ,  80,  80
 | PGT     ,LOSS    ,PV,  ,  -1,  -1
 | PNM     ,CNTG    ,LC,  ,  11,  11
 | PNM     ,LOSS    ,LC,  ,   2,   2
 | SPS     ,FIRM    ,WM,  ,-103,-103
 | SRP     ,FIRM    ,ED,  ,  25,  25
 | SRP     ,LOSS    ,PV,  ,   1,   1
 | TNP     ,FIRM    ,PV,  ,  25,  25
 | TNP     ,LOSS    ,PV,  ,  -5,  -5
 | WAPA    ,PASS    ,WM,HO,  -1,  -1
Spreadsheet: dd30542a-d47e-46b9-a44b-278983e93d53
Sheet: Sheet1

[NAME] | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5
Quelle: http://ergebnisse.vimentis.ch/
Frage:
Falls mehr in die Verkehrsinfrastruktur investiert wird, wo soll der Schwerpunkt der [NAME] liegen?
 | Ich bin mit der Politik in der [NAME] zufrieden.
Antwort | [NAME] | [NAME] eher zu | Neutral / Weiss nicht | [NAME] eher nicht zu | [NAME] nicht zu
[NAME] | 0.66 | 0.67 | 0.58 | 0.56 | 0.4
Strasseninfrastruktur | 0.25 | 0.23 | 0.23 | 0.34 | 0.47
Neutral / Weiss nicht | 0.1 | 0.1 | 0.2 | 0.1 | 0.13
Angaben zu den [NAME]
Erhebungsjahr | 2011
Stichprobengrösse | 30565
Erhebungszeitraum | 05.11.2011 bis: 30.12.2011
[NAME] | [NAME]
Methodik / Repräsentativität
Um soziodemographische Verzerrungen [NAME], wurden sämtliche [NAME] nach [NAME], Alter, Bildung und Region gemäss der wahren [NAME] älter als 15 Jahre gewichtet. Es bleibt eine psychographische Verzerrung wegen
der [NAME] über das Internet, welche nicht korrigiert [NAME]. Diese Verzerrung wird anhand einzelner [NAME] für jede [NAME] abgeschätzt. Demnach sind [NAME] auf dieser Seite angegebenen [NAME] mit einer
Präzision von &plusmn;2% [NAME].
[NAME] und [NAME] auf dieser Seite dürfen unter Angabe der Quelle weiterverwendet werden.
Spreadsheet: 328334d1403875010-counting-the-same-values-in-two-columns-countifunique
Sheet: Sheet3

Col A | Col B | Count | Unique values from B
A81001 | A81001 | 2 | A81001
A81001 | A81001 | 5 | A81002
A81002 | A81002 | 3 | A81003
A81002 | A81002 | 4 | A81004
A81002 | A81002 | 0 | A81005
A81002 | A81002
A81002 | A81002
A81003 | A81003
A81003 | A81003
A81003 | A81004
A81004 | A81004
A81004 | A81004
A81004 | A81004
A81004 | A81005
Spreadsheet: 782113d1653803406-using-xlookup-across-sheets-to-return-data-based-on-cell-testing-1-aligw
Sheet: Master List

 |  | Rankings
Player | Position | Billy | [NAME] | Bright
X | QB | 1 | 2 | 7
Y | RB | 2 | 3 | 8
Z | QB | 3 | 4 | 1
AA | WR | 4 | 5 | 2
AB | QB | 5 | 1 | 3
AC | WR | 6 | 8 | 4
AD | RB | 7 | 7 | 5
AE | QB | 8 | 6 | 6
Spreadsheet: lynn_blair__24484__NNGWKednotes_2001
Sheet: July 14 & 15, 2001

NNG WEEKEND NOTES
For cc Mail distribution:  [NAME], [NAME], [NAME], S. January, [NAME], [NAME], [NAME], TMS OnCall
SATURDAY |  |  | 2001-07-14 00:00:00
Mail distribution send to the above listing on Sunday evening.
H:\DATA\Process Guidelines\[NNGWKednotes Template.xls]Dec 25 & 26
 | PROCESS |  |  |  | COMMENTS:
 | Gas Day: | SAT |  |  | No difficulties with the process.
 | 7:00 A.M. Non-grid:
 | Gas Day: | FRI |  |  | Extended nomination timeline to 8:30am to allow UCU to
 | 8:00 AM Final Storage |  |  |  | get there nom in. They did not have system problems.
 |  |  |  |  | ([NAME])
 | Gas Day: | SAT |  |  | No difficulties with the process.
 | 10:00 A.M. Intraday 1:
 | Gas Day: | SAT |  |  | No difficulties with the process.
 | 5:00 P.M. Intraday 2:
 | Gas Day: | SUN |  |  | No difficulties with the process.
 | 11:30 A.M. Timely
 | Gas Day: | SUN |  |  | Evening process hung up on Confirmations.
 | 6:00 P.M. Evening |  |  |  | Pam with EDS said it was an image problem.
 |  |  |  |  | Evening cycle finished at 10:33 pm
 |  |  |  |  | Randy J. & Scott
 | Other Comments:
 | On Call Reps. |  |  |  | [NAME] |  | 6:30 - 3:30
 |  |  |  |  | [NAME] |  | 6:30 - 3:30
 |  |  |  |  | [NAME] |  | 1:00 - 10:00
 |  |  |  |  | [NAME] |  | 1:00 - 10:00
SUNDAY
 | PROCESS |  |  |  | COMMENTS:
 | Gas Day: | SUN |  |  | No difficulties with the process.
 | 7:00 A.M. Non-grid:
 | Gas Day: | SAT |  |  | No difficulties with the process.
 | 8:00 AM Final Storage
 | Gas Day: | SUN |  |  | No difficulties with the process.
 | 10:00 A.M. Intraday 1:
 | Gas Day: | SUN |  |  | No difficulties with the process.
 | 5:00 P.M. Intraday 2:
 | Gas Day: | MON |  |  | No difficulties with the process.
 | 11:30 A.M. Timely
 | Gas Day: | MON |  |  | No difficulties with the process.
 | 6:00 P.M. Evening
 | Other Comments:
 | On Call Reps: |  |  |  | [NAME] |  | 6:30 - 3:30
 |  |  |  |  | [NAME] |  | 6:30 - 3:30
 |  |  |  |  | [NAME] |  | 1:00 - 10:00
 |  |  |  |  | [NAME] |  | 1:00 - 10:00
Spreadsheet: 124413d1318395039-counting-unique-values-in-a-table-based-upon-criteria-of-other-columns-example
Sheet: Sheet1

Customer # | Sales | Year | State |  | Year | 2011 |  |  | Year | 2011 |  |  | Customer # |  | 2011 | VT
1 | 100 | 2011 | VT |  | State | VT |  |  | State | VT
1 | 200 | 2010 | VT |  |  |  |  |  | Sales | (Multiple Items)
2 | 500 | 2011 | CA |  | Row Labels | Sum of  Sales
3 | 100 | 2011 | VT |  | 1 | 100 |  |  | Row Labels | Sum of  Sales
4 | 0 | 2010 | VT |  | 3 | 100 |  |  | 1 | 100
4 | 50 | 2011 | VT |  | 4 | 150 |  |  | 3 | 100
4 | 100 | 2011 | VT |  | Grand Total | 350 |  |  | 4 | 150
 |  |  |  |  |  |  |  |  | Grand Total | 350
 |  |  |  |  | Solution 1 |  |  |  | Solution 2
 |  |  |  |  | Through Pivot Table |  |  |  | Through Pivot Table |  |  |  | Solution 3
 |  |  |  |  | zero sales eliminted though formula in H4 |  |  |  | zero sales eliminted though filter in pivot |  |  |  | Note: array formula is used in column N and should be confirmed though Ctrl+Shift+Enter instead of Just Enter
Spreadsheet: 834243d1687541268-using-a-formula-to-calculate-latitudes-coordinating-with-given-longitudes-to-make-a-circle-calculating-latitudes-copy
Sheet: Lat-Long

Latitude | Longitude
38.6521739130434 | 0
Spreadsheet: 490981d1480230697-how-can-i-get-country-name-based-on-city-names-in-the-columns-country-name-based-on-city
Sheet: Sheet1

City1 | City2 | City3 | City4 | City5 | Formula for Country Name | [NAME] for country names if Multi cities in the columns
New York |  |  |  |  | USA
 |  |  | Mumbai |  | India
 | Toronto |  |  |  | Canada
Karachi |  |  |  |  | Pakistan
 |  |  |  | London | England
 |  | Sidney |  |  | Australia
 | Walington |  |  |  | New Zealand
Los Angeles |  |  |  |  | USA
London | Tokyo | Washington |  | Berlin |  | England,Japan,USA,Germany
Bejing |  |  | Dublin |  |  | China,Ireland
Spreadsheet: 707761d1607443354-searching-table-and-return-first-10-matched-results-sample
Sheet: Sheet2

 | Keywords: | ARISTON
Needed help with formulas on the highlighted cell.
A solution to ignore the row number found above and
search down the table to find matches.
This is what I wanted to archive | Keywords: | ARISTON
 | 2
 | 3
 | 4
Spreadsheet: 125675d1319156205-yearly-planner-malbar-tourament-planner-2011_2012-junior-2
Sheet: Tournament Schedule

 | 2011 |  |  |  |  |  |  |  |  |  | 2012
Quarter | Q1 |  |  |  |  |  | Q2 |  |  |  |  |  | Q3 |  |  |  |  |  | Q4
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
Sunday
Monday |  |  |  |  |  |  |  |  |  |  |  | Bank Holiday |  |  |  |  |  |  |  | Bank Holiday |  | Bank Holiday
Tuesday |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Bank Holiday
Wednesday
Thursday
Friday |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Bank Holiday
Saturday
Sunday
Monday |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Bank Holiday
Tuesday
Wednesday
Thursday
Friday
Saturday
Sunday
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
Sunday |  |  |  |  |  |  |  |  |  | [NAME]
Monday |  | Bank Holiday |  |  |  |  |  |  |  | Bank Holiday
Tuesday |  |  |  |  |  |  |  |  |  | Boxing Day
Wednesday
Thursday
Friday
Saturday
Sunday
Monday
Tuesday
 | Key: |  |  |  |  |  | Quarterly Key:
 |  | Training Period |  |  |  |  |  | Quarter 1
 |  | Tournament |  |  |  |  |  | Quarter 2
 |  | Weekend Free |  |  |  |  |  | Quarter 3
 |  | School Holiday/Public Holiday |  |  |  |  |  | Quarter 4
Spreadsheet: 709432d1608303057-textjoin-product-names-which-falls-in-the-same-category-18122020_example
Sheet: Munka1

Attributes 1 | Attributes 2 | Attributes3
Black | Red | XL
White | White | XL
Red | White | S
Red | Red | M
Black | Red | S
White | White | S
Red | Blue | S
Black, Red, White
Spreadsheet: 876715d1723457784-create-an-action-log-tab-automatically-from-different-tabs-and-sheets-of-info-book1-creating-auto-filled-action-log-from-multiple-tabs-and-sheets
Sheet: person 1

Person 1
 | Date | Time | Medium | Comments | Questions | Actions | Status | ambitions | achievements
 | 2024-07-30 00:00:00 | noon | email | initial contact | no questions as yet | book initial teams meeting | complete
 | 2024-08-08 00:00:00 | 09:30:00 | Teams |  |  | find a new challenge - DLSE course in logistics post grad initially could go on to masters | ongoing | wants to run teams not processes
Spreadsheet: 69651d1270206275-calculating-total-of-variable-amt-of-info-book4
Sheet: Sheet1

Production (OUTPUTS) | Units | Wt / Piece in oz | Qty Made | Total Wt (oz) | % Produced |  | Total Made
Item1 | Pieces | 15 | 1
Item2 | Pieces | 20 | 2
Item3 | Pieces | 18 | 3
Item4 | Pieces | 14 | 4
Item5 | Pieces | 24 | 5
Item6 | Pieces | 18 | 6
Item7 | Pieces | 18 | 7
Item8 | Pieces | 18 | 8
Item9 | 4pk | 3.5 | 9
Item10 | Pieces | 20 | 10
Item11 | Pieces | 20 | 11
Item12 | Pieces | 18 | 12
[NAME] | Units |  | Qty or Wt | Totals
Total pieces produced | None |  |  | 105
Spreadsheet: 84677d1284695799-excel-2007-lookup-on-a-list-of-names-containing-the-value-copy-of-gz
Sheet: ship owner profile

Evergreen Corp
Ship yard | count |  |  | Row Labels | Count of Builder
 |  |  |  | CSBC Corp, Taiwan | 16
 |  |  |  | Evergreen Heavy Industrial | 3
 |  |  |  | Evergreen Shipyard Corp | 21
 |  |  |  | Hayashikane Dockyard Co Ltd | 1
 |  |  |  | Hyundai Mipo Dockyard Co Ltd | 5
 |  |  |  | Imabari Shipbuilding Co Ltd | 3
 |  |  |  | Kanda Shipbuilding Co Ltd | 5
 |  |  |  | Mitsubishi Heavy Ind Ltd | 43
 |  |  |  | Nishi Shipbuilding Co Ltd | 2
 |  |  |  | Nobiskrug Werft GmbH | 1
 |  |  |  | Onomichi Dockyard Co Ltd | 3
 |  |  |  | Tien Erh Shbldg Co Ltd | 1
 |  |  |  | Weser Seebeckwerft AG | 1
 |  |  |  | Grand Total | 105
Spreadsheet: c226cbac-3977-4f5a-b52a-63a6712c6923
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
AMA | Test | AMA | Mitochondrial Antibodies (M2), Serum | Mitochondrial Ab, [NAME], S | Enzyme Immunoassay (EIA) | Serum Gel Tube: SGT |  |  | 0.5 | mL | Container/Tube:  Preferred: Red top Acceptable: Serum gel [NAME]: 0.5 mL | 0.4 mL | Hemolysis	Mild OK; Gross reject Thawing	Cold OK; Warm reject Lipemia	Mild OK; Gross reject Icterus	Mild OK; [NAME] OK Other	NA | Negative: <0.1 Units Borderline: 0.1-0.3 Units Weakly positive: 0.4-0.9 Units Positive: > or =1.0 Units Reference values apply to all ages. | Monday through Saturday; 11 a.m. | 1 day | 1 day | 1 | 83516 |  |  |  |  | Rochester
AMA | [NAME] | SERUM | Serum |  |  |  | Refrigerated | 21 days
AMA | Result | AMA | Mitochondrial Ab, [NAME], S | Mitochondrial Ab, [NAME], S | Numeric |  |  |  |  | U |  |  |  |  |  |  |  |  |  | 49781-8 | [NAME]:ACnc:Pt:Ser:Qn:
Spreadsheet: 0e6a4cfd-4f6b-45fa-a62a-bed85dbeca89
Sheet: UNTHSC

 | University of North Texas Health Science Center at Fort Worth |  |  |  |  |  |  |  |  |  |  |  | Return to Index |  |  |  |  |  |  |  |  |  |  |  |  | 12 | 13
 |  |  |  |  |  |  |  |  |  |  |  |  | Zoom % should be at 75%.
 | Summary of R & D Expenditures |  |  |  |  |  |  |  |  | Overall Total | Defined For Survey
 | R & D Expenses as defined for the Research Expenditure Survey
 | R & D Expenses not meeting the narrow definition of R & D used in the Research Expenditures Survey
 | Total Expenses for R & D as reported on the Statement of Revenues, Expenses and Changes in Net Assets
 | Other Research-related Equipment Expenditures (noncurrent fund expenditures, etc. - do not include R & D plant expenses or construction)
 | Indirect Costs associated with Expenses for R & D as defined for this survey
 | Capital Outlay for research equipment (do not include R & D plant expenses or construction)
 | Expenditures for conduct of R & D made by institution's research foundation or 501© corporation on behalf of the institution and not report in institution AFR, including indirect costs not reported above
 | Pass-throughs from Texas Engineering Experiment Station not reported in R & D Expenditures as defined for the Research Expenditure Survey
 | Total R & D Expenditures |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0 | 0 | 0
 | R & D Expenditures By Funding Source |  |  |  | Federal | State Appropriations | State Contracts/Grants | Institution Resources | Private                  For-Profit | Private                     Non-Profit | Total
 | Agricultural Sciences
 | Biological and Other Life Sciences
 | Computer Science
 | Engineering
 | Environmental Sciences
 | Mathematical Sciences |  |  |  |  |  |  |  |  |  |  |  |  | Difference
 | Medical Sciences
 | Physical Sciences
 | Psychology
 | Social Sciences
 | Other Sciences not classified above
 | Arts and Humanities
 | Business Administration
 | Education
 | Law
 | Field of Study - Future Use 1
 | Field of Study - Future Use 2
 | Field of Study - Future Use 3
 | Field of Study - Future Use 4
 | Field of Study - Future Use 5
 | Other Non-Science Activities |  |  |  |  |  |  |  |  |  |  |  |  | To Accountability | Sources & Uses
 | Total R & D Expenditures By Funding Source |  |  |  |  |  |  |  |  |  |  |  |  | ResPercGenRev | State Appropriations
 |  |  |  |  |  | State Total |  |  | Pvt. Total |  | Federal & Private
 | R & D Expenditures - Select Areas of Special Interest |  |  |  |  |  |  |  |  |  |  |  |  | ExpendPerFTE
 | Aging
 | Cancer Research |  |  |  |  |  |  |  |  |  |  |  |  | T/TT Fall Fac FTE
 | Cardiovascular Research
 | Child Health and Human Development |  |  |  |  |  |  |  |  |  |  |  |  | As of Fall xxxxx
 | Mental Health
 | HRI Special Interest - Future Use 1
 | HRI Special Interest - Future Use 2
 | HRI Special Interest - Future Use 3
 | HRI Special Interest - Future Use 4
 | HRI Special Interest - Future Use 5
 | Total R & D Expenditures - Select Areas of Special Interest
Spreadsheet: 182182d1348333948-determine-the-average-price-pc-modem2
Sheet: Purchase Order

 | PC-Market
 | Modems
 | Product ID:
 | 1050
 | Type:
 | Model:
 | Price:
 | Quantity
 | 4
 | Shipping Options
 | Express
 | Shipping Cost
 | Total Cost
 |  |  | Standard | 9.5
 |  |  | Express | 14.5
 |  |  | Overnight | 18.5
Spreadsheet: 839391d1691924552-neatest-value-demo
Sheet: Sheet2

Basic | DA | Gross |  | Standard DA
15424 | 2837 |  |  | 2837
14022 | 2837
12747 | 2837
11588 | 2837
16423 | 2837