tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: a0b4c948-1a12-481d-bc2e-5288012205a5
Sheet: Sheet1

Table S4.  Tree growth (cm) per year in a drier site, [NAME], and a wetter site, Santa Rosa. | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4
 | Growth (cm)/yr
 | Basal diameter |  | DBH
 | [NAME] | Santa Rosa | [NAME] | Santa Rosa
Overall | 0.16 ± 0.04, N = 139 | 0.14 ± 0.03, N = 238 | 0.18 ± 0.03 | 0.09 ± 0.02
[NAME]
1 (0-<5cm DBH) | 0.22 ± 0.07, N = 44 | 0.01 ± 0.02, N = 102 | 0.15 ± 0.05 | 0.01 ± 0.02
2 (5-<10cm DBH) | 0.14 ± 0.05, N = 63 | 0.21 ± 0.07, N = 43 | 0.20 ± 0.03 | 0.15 ± 0.04
3 (≥10cm DBH) | 0.13 ± 0.07, N = 32 | 0.26 ± 0.06, N = 93 | 0.16 ± 0.06 | 0.16 ± 0.03
Percent canopy openness at 1m height was significantly higher in the driest site, [NAME] (40.2 ± 0.7%) than in the wettest site, Santa Rosa (18.5 ± 0.4%) (t ratio = 26.68, df = 210, p < 0.0001). When trees were separated into small, medium, and large size categories, only the smallest trees, which benefit most from increased light coming through the canopy, grew faster in Chamela. We investigated total NSCs only in trees with exposed canopies.
Spreadsheet: 728021d1618253148-sum-a-variable-of-cells-based-on-a-date-samplevariablesum
Sheet: Sheet1

 | Objective is to [NAME] all "C" values that are within 3 previous months of the date in "B"
 | Date | Values | Desired Results
 | 2019-12-15 00:00:00 | 15 | 105
 | 2020-01-15 00:00:00 | 88 | 90
 | 2020-02-08 00:00:00 | 2 | 2
 | 2020-05-18 00:00:00 | 8 | 220
 | 2020-05-23 00:00:00 | 190 | 217
 | 2020-06-07 00:00:00 | 22 | 27
 | 2020-08-09 00:00:00 | 5 | 5
 | 2020-11-10 00:00:00 | 34 | 55
 | 2020-12-12 00:00:00 | 12 | 35
 | 2021-01-03 00:00:00 | 9 | 23
 | 2021-02-12 00:00:00 | 8 | 63
 | 2021-02-28 00:00:00 | 6 | 58
 | 2021-04-04 00:00:00 | 44 | NA
 | 2021-04-08 00:00:00 | 5 | NA
 | 2021-04-12 00:00:00 | 3 | NA
Spreadsheet: 21331d1208746429-allowing-text-based-on-a-few-things-magazinetest2
Sheet: Selection List

Magazine | GB | MC | AD | ML | BR | KP | RL | MI | SN | CT | GJ
Abitare | x | x | x |  | x |  | x |  |  | x | x
Agenda | x | x |  |  |  | x
American Craft | x | x | x | x | x | x |  |  | x |  | x
The Architects Newspaper | x | x |  | x |  |  | x | x | x | x
Architectural Digest | x | x
Architectural Products | x | x | x |  |  | x | x |  | x | x
Architectural Record | x | x |  | x | x |  |  |  |  | x | x
Architectural SSL | x |  |  |  | x | x | x |  |  | x
Artforum | x | x | x | x | x | x | x |  | x
Art In America |  | x | x |  | x |  | x
Art News | x | x | x |  | x | x | x |  | x | x
Art Papers | x |  |  |  | x
atCooper |  | x |  | x |  |  | x |  | x |  | x
Automobile | x |  | x |  |  | x
Azure | x |  | x |  | x |  | x |  | x
Bentley | x |  |  |  | x |  | x |  | x |  | x
Big Buenos Aires | x | x |  | x |  | x |  |  |  |  | x
Bioplastics | x |  | x | x |  | x | x |  |  | x | x
bloom |  |  | x |  | x | x |  |  | x | x | x
Bookforum | x | x | x |  | x |  | x |  |  | x | x
boutique Design |  | x | x |  | x
BOX | x |  |  |  |  |  | x |  | x | x | x
boutique Design | x |  | x |  | x
Bravacasa | x |  |  | x | x | x | x | x |  | x
Building Operating Management | x | x | x |  | x | x |  | x |  | x | x
Spreadsheet: 837869d1690471325-formula-to-return-previous-month-balance-sample44
Sheet: Sheet1

Current Date
Current Balance |  | Answer
Previous Month Balance |  | 10000
Month | Balance
2023-01-01 00:00:00 | 5000
2023-02-01 00:00:00 | 6000
2023-03-01 00:00:00 | 7000
2023-04-01 00:00:00 | 6000
2023-05-01 00:00:00 | 8000
2023-06-01 00:00:00 | 10000
2023-07-01 00:00:00 | 11000
2023-08-01 00:00:00 | 9000
2023-09-01 00:00:00 | 8000
2023-10-01 00:00:00
2023-11-01 00:00:00
2023-12-01 00:00:00
Spreadsheet: 717428d1612643829-offset-index-match-formula-help-product-equivalence2
Sheet: Sheet1

Product Equivalence
 | Vendor 1 | Vendor 2 | Vendor 3
Product 1 | TV Big | TV Large | TV Huge
Product 2 | Oven Gas | Gas Oven | Oven  non-electric
Product 3 | Large Sofa | Sofa 3 Cushion | Sofa
 |  |  | Vendor Product Number |  |  | Vendor Price |  |  | Proposed Spend
Current Vendor | Current Product | Usage | Vendor 1 | Vendor 2 | Vendor 3 | Vendor 1 | Vendor 2 | Vendor 3 | Vendor 1 | Vendor 2 | Vendor 3
Vendor 1 | Product 1 | 3 | Should return 'TV Big' from cell b4 by looking up Vendor 1 and Product 1 from cells a11+b11 and then looking to the product equivalence table to find the equivalent product from the vendor in cell D10.  (In this case that is the same vendor) | Should return 'TV Large from cell c4 by looking up Vendor 1 and Product 1 from cells a11+b11 and then looking to the product equivalence table to find the equivalent product from the vendor in cell e10. | Should return 'TV Huge from cell d4 by looking up Vendor 1 and Product 1 from cells a11+b11 and then looking to the product equivalence table to find the equivalent product from the vendor in cell f10. | Vlookup from vendor price tables using product number values from left
Vendor 1 | Product 2 | 5 | Should return 'Oven Gas' from cell b5 by looking up Vendor 1 and Product 2 from cells a12+b12 and then looking to the product equivalence table to find the equivalent product from the vendor in cell D10.  (In this case that is the same vendor) | Should return 'Gas Oven' from cell c5 by looking up Vendor 1 and Product 2 from cells a12+b12 and then looking to the product equivalence table to find the equivalent product from the vendor in cell e10. | Should return 'Oven non-electric' from cell d5 by looking up Vendor 1 and Product 2 from cells a12+b12 and then looking to the product equivalence table to find the equivalent product from the vendor in cell f10.
Vendor 1 | Product 3 | 4
Vendor 2 | Product 1 | 9
Vendor 2 | Product 2 | 4
Vendor 2 | Product 3 | 2 | Should return 'Large Sofa' from cell b6 by looking up Vendor 2 and Product 3 from cells a16+b16 and then looking to the product equivalence table to find the equivalent product from the vendor in cell D10. | Should return 'Sofa 3 Cushion' from cell c6 by looking up Vendor 2 and Product 3 from cells a16+b16 and then looking to the product equivalence table to find the equivalent product from the vendor in cell e10. | Should return 'Sofa' from cell d6 by looking up Vendor 2 and Product 3 from cells a16+b16 and then looking to the product equivalence table to find the equivalent product from the vendor in cell f10.
Vendor 3 | Product 1 | 1
Vendor 3 | Product 2 | 6
Vendor 3 | Product 3 | 7
Spreadsheet: 206498d1358202151-dropdown-list-containing-dd-mm-yyyy-nova-planilha-rh_1-new
Sheet: Legenda Motivos

FOLGA NORMAL (Ex: [NAME])
A Compensar  Folga | [NAME] o funcionário VEIO trabalhar e irá COMPENSAR este dia.
[NAME] | [NAME] o funcionário VEIO trabalhar e já COMPENSOU este dia.
FERIADO NORMAL
A Compensar Feriado | [NAME] o funcionário VEIO trabalhar e irá COMPENSAR este FERIADO.
Compensação Feriado | [NAME] o funcionário VEIO trabalhar e já COMPENSOU este FERIADO.
FERIADO FOLGA NÃO TRABALHADO
Feriado Folga Pagamento HE 100% = 7h (2o e 3o Turnos) | [NAME] o funcionário NÃO VEIO trabalhar e o feriado coincidiu com sua folga. Irá RECEBER este dia.
Feriado Folga Pagamento HE 100% = 8h (1 Turno e Horário Comercial) | [NAME] o funcionário NÃO VEIO trabalhar e o feriado coincidiu com sua folga. Irá RECEBER este dia.
A Compensar Feriado Folga | [NAME] o funcionário NÃO VEIO trabalhar e o feriado coincidiu com sua folga. Irá COMPENSAR este dia.
Compensação Feriado Folga | [NAME] o funcionário NÃO VEIO trabalhar e o feriado coincidiu com sua folga. [NAME] este dia.
FERIADO FOLGA TRABALHADO
A Compensar Folga / Pagamento Feriado Folga HE 100% = 7h | [NAME] o funcionário VEIO trabalhar e o feriado coincidiu com sua folga. Irá COMPENSAR a folga e RECEBER o feriado folga.
A Compensar Folga / Pagamento Feriado Folga HE 100% = 8h | [NAME] o funcionário VEIO trabalhar e o feriado coincidiu com sua folga. Irá COMPENSAR a folga e RECEBER o feriado folga.
A Compensar Folga / A compensar Feriado Folga | [NAME] o funcionário VEIO trabalhar e o feriado coincidiu com sua folga. Irá COMPENSAR a folga e COMPENSAR o feriado folga.
[NAME] | [NAME] o funcionário VEIO trabalhar e o feriado coincidiu com sua folga. [NAME] a folga.
Compensação Feriado Folga | [NAME] o funcionário VEIO trabalhar e o feriado coincidiu com sua folga. [NAME] o Feriado Folga.
Pagamento Folga / Pagamento Feriado Folga HE 100% = 7h | [NAME] o funcionário VEIO trabalhar e o feriado coincidiu com sua folga. Irá RECEBER a folga e RECEBER o feriado folga.
Pagamento Folga / Pagamento Feriado Folga HE 100% = 8h | [NAME] o funcionário VEIO trabalhar e o feriado coincidiu com sua folga. Irá RECEBER a folga e RECEBER o feriado folga.
Spreadsheet: 90973d1290649885-calculating-of-time-that-values-fall-within-threshold-book6
Sheet: Sheet1

 | 1/11 | 2/11
12:00 AM | 0 | 100
12:15 AM | 67 | 60
12:30 AM | 50 | 100
12:45 AM | 100 | 75
1:00 AM |  | 100
1:15 AM | 100 | 100
1:30 AM
1:45 AM | 50 | 40
2:00 AM |  | 100
2:15 AM |  | 100
% within 65-75% | 16.6
Spreadsheet: 89776d1289508893-curves-from-a-cloud-of-points-example
Sheet: Hoja1

 | [NAME] | Ang Talud | Dist
 | 40 | 35 | 6.22
 | 42 | 35 | 0.15
 | 44 | 35 | 0
 | 46 | 35 | 0
 | 40 | 37 | 9.62
 | 42 | 37 | 5.63
 | 44 | 37 | 0.67
 | 46 | 37 | 0
 | 40 | 39 | 12.93
 | 42 | 39 | 9.438
 | 44 | 39 | 5.56
 | 46 | 39 | 1.1
 | 40 | 41 | 16.64
 | 42 | 41 | 12.48
 | 44 | 41 | 8.88
 | 46 | 41 | 5.26
Spreadsheet: 818232d1676654225-logic-formulas-when-counting-unique-clients-sample-data
Sheet: Sheet1

Client ID | Date | Service
7645 | 2022-07-15 00:00:00 | Haircut |  | Unique clients =
7123 | 2022-07-22 00:00:00 | Haircut |  | Wash only =
7123 | 2022-07-22 00:00:00 | Wash |  | Haircut only =
5462 | 2022-07-22 00:00:00 | Wash |  | Both =
8905 | 2022-07-23 00:00:00 | Haircut
6603 | 2022-07-25 00:00:00 | Wash
7922 | 2022-07-30 00:00:00 | Haircut
7922 | 2022-07-30 00:00:00 | Wash
4554 | 2022-08-01 00:00:00 | Wash
4554 | 2022-08-01 00:00:00 | Haircut
9621 | 2022-08-04 00:00:00 | Wash
9621 | 2022-08-04 00:00:00 | Haircut
1115 | 2022-08-05 00:00:00 | Haircut
1042 | 2022-08-07 00:00:00 | Wash
Spreadsheet: 702461d1604361680-if-date-is-of-intervals-after-another-date-formula-example-csudell-
Sheet: Sheet1

 |  |  |  |  |  |  |  | Year 1 |  |  |  |  |  |  |  |  |  |  |  |  | Year 2 |  |  |  |  |  |  |  |  |  |  |  |  | Year 3 |  |  |  |  |  |  |  |  |  |  |  |  | Year 4 |  |  |  |  |  |  |  |  |  |  |  |  | Year 5
 |  |  |  |  |  |  |  | 1
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Total |  |  |  |  |  |  |  |  |  |  |  |  | Total |  |  |  |  |  |  |  |  |  |  |  |  | Total |  |  |  |  |  |  |  |  |  |  |  |  | Total | Total
 |  |  |  |  |  |  |  | 2021-01-01 00:00:00
 | Amazon |  |  |  |  |  |  |  | 100
 |  |  |  |  |  |  | Desired result-> |  | 100
 |  |  |  |  |  |  | Action needed -> |  |  | +25% | +25% | +25% | +25% | +50% | +50% | +50% | +100% | +100% | +100% |  | +50% | +50% | +50% | +100 |  |  | +100 |  |  | +100 |  |  |  | +100
 |  |  |  | 2021-02-01 00:00:00 | Stage 1 growth in % | 0.25 |  |  | 100
 |  |  |  | 2021-07-01 00:00:00 | Stage 2 growth in % | 0.5
 |  |  |  | 2021-10-01 00:00:00 | Stage 3 growth in % | 1
 |  |  |  | 2022-01-01 00:00:00 | Stage 4 growth in % | 0.5
 |  |  |  | 2022-04-01 00:00:00 |  | 0
 |  |  | Thereafter | 3 | month intervals in % | 100
 | Inventory
Spreadsheet: 133745d1324574477-digits-to-alphabets-digits_sample
Sheet: Sheet2

1 | Q
2 | W
3 | E
4 | R
5 | T
6 | Y
7 | U
8 | I
9 | O
0 | P
Spreadsheet: 791732d1660569612-find-average-difference-of-2-columns-based-on-criteria-from-2-other-columns-sample-davidcato-
Sheet: Sheet1

Trades | Date | Entry Time (CT) | Exit Time (CT) | Net Profit (Loss) | [NAME] | Instrument/Symbol | PnL % | Win/ Loss | First Occurrence |  |  |  | 2022-05-01 00:00:00
1 | 2022-05-26 00:00:00 | 07:33:00 | 07:45:00 | -1562.5 | Long | ZB | -0.15625 | Loss
2 | 2022-05-31 00:00:00 | 08:15:00 | 08:17:00 | -210 | Long | NQ | -0.02488888888888889 | Loss |  |  |  |  |  | Answer
2 | 2022-05-31 00:00:00 | 08:15:00 | 08:17:00 | -300 | Long | NQ | -0.03064351378958121 | Loss |  |  | Average Hold Time =
3 | 2022-05-31 00:00:00 | 08:30:00 | 08:58:00 | -343.75 | Long | ZB | -0.03543814432989691 | Loss |  |  | Average Long Hold Time =
3 | 2022-05-31 00:00:00 | 08:30:00 | 08:58:00 | -1500 | Long | ZB | -0.1553398058252427 | Loss |  |  | Average NQ Hold Time =
4 | 2022-05-31 00:00:00 | 08:31:00 | 08:32:00 | 5 | Long | NQ | 0.000588235294117647 | Win |  |  | Average Hold Time in May =
4 | 2022-05-31 00:00:00 | 08:31:00 | 08:32:00 | 0 | Long | NQ | 0 | Breakeven |  |  | Total # of Trades in May |  |  | 5
5 | 2022-05-31 00:00:00 | 08:32:00 | 08:33:00 | 1100 | Short | NQ | 0.11 | Win |  |  | Losing Trades in May |  |  | 3
5 | 2022-05-31 00:00:00 | 08:32:00 | 08:33:00 | 4380 | Short | NQ | 0.3945945945945946 | Win
6 | 2022-06-01 00:00:00 | 09:09:00 | 09:09:00 | -100 | Short | NQ | -0.006954102920723227 | Loss
6 | 2022-06-01 00:00:00 | 09:09:00 | 09:09:00 | -105 | Short | NQ | -0.01060606060606061 | Loss |  |  | [NAME] trade =
6 | 2022-06-01 00:00:00 | 09:09:00 | 09:09:00 | -330 | Short | NQ | -0.03335017685699848 | Loss |  |  | [NAME] profit % for winning Long trades =
7 | 2022-06-01 00:00:00 | 09:11:00 | 09:11:00 | 220 | Short | ZB | 0.0227507755946225 | Win |  |  | [NAME] profit % for losing Long ZB trades =
7 | 2022-06-01 00:00:00 | 09:11:00 | 09:11:00 | 345 | Short | ZB | 0.0352760736196319 | Win
8 | 2022-06-15 00:00:00 | 09:11:00 | 09:12:00 | -100 | Short | NQ | -0.01035732780942517 | Loss
Spreadsheet: 792208d1660774244-sumifs-and-lookup-function-resulted-to-null-value-sampleproblemsumifsandlookup-tms
Sheet: Report

 | Profit Center | 2063-000
 | Planning Group | Item | 2021-01-01 00:00:00 | 2021-02-01 00:00:00 | 2021-03-01 00:00:00 | 2021-04-01 00:00:00 | 2021-05-01 00:00:00 | 2021-06-01 00:00:00 | 2021-07-01 00:00:00 | 2021-08-01 00:00:00 | 2021-09-01 00:00:00 | 2021-10-01 00:00:00 | 2021-11-01 00:00:00 | 2021-12-01 00:00:00
 | Z1 | Labor
 | [NAME] | Plant and Equipment
 | Z3 | Materials
 | Z4 | Temporaries
 | [NAME] | Subcontractors
 | Z6 | General Expense
 | Z7 | Others
 | Total Outflows
 |  |  |  |  |  |  | ZP | KZ | 21200101 | 21300502
 |  |  |  |  |  |  |  | True |  | False
 |  | 5644233.2 | False | False | True | True | False | True | True | False
 |  | 3397125.43 | False | False | True | True | False | True | True | False
 |  | 2218822.07 | False | False | True | True | False | True | True | False
 |  | 10047.51 | True | False | True | True | True | False | True | False
 |  | 21668.4 | True | False | True | True | True | False | True | False
 |  | 15000 | True | False | True | True | True | False | False | True
 |  | 32691 | False | False | True | True | True | False | False | True
 |  | 960 | False | False | True | True | True | False | False | True
 |  | 50000 | True | False | True | True | True | False | False | True
 |  | 17291.55 | True | False | True | True | True | False | False | True
 |  | 8428 | True | True | True | True | True | False | False | True
 |  | 29093.03 | True | False | True | True | True | False | False | True
 |  | 3961.64 | True | False | True | True | True | False | False | True
 |  | 15060 | True | False | True | True | True | False | False | True
 |  | 13979.23 | False | False | True | True | True | False | True | False
 |  | 5715.77 | False | False | True | True | True | False | True | False
 |  | 53855.94 | False | False | True | True | True | False | True | False
Spreadsheet: c65abf78-4d20-4f66-9cca-9c34d91b96dd
Sheet: Final Reccomendation

Assessment Review Tool Summary and Final Rating
Name of Assessment |  |  |  | Review Date
[NAME])
Final Rating Holistic Rating for Entire Assessment (Please Review Summary of all Ratings Below Before Making a Final Selection)
Comprehensive Explanation for Final Rating and suggestions for improvement or modification
Colorado Academic Standards
Who Developed the Assessment |  |  |  | Cost
Reviewers
Collaborative Review |  |  | Review Team Type
District or Professional association that performed the review
[NAME]
Item Type Comments
Assessment Includes
Assessment Inclusion Comments
DOK of Grade Level Expectations
DOK of Assessment
Content Knowledge / Concepts Assessed
Skills / Performance Assessed
Content Match
Item(s) rigor compared to GLE rigor
Overall Comments on alignment
Elements of Scoring guide
Does the rubric/scoring criteria align to Colorado Academic Standards in this assessment?
Are the score categories clearly defined and coherent across performance levels?
To what degree does the rubric/scoring criteria address all of the demands within the task or item?
Based on your review of the rubric/scoring criteria, do you think the scoring rubric would most likely lead different raters to arrive at the same score for a given response?
Is there student work?
Overall Strengths and Suggestions Regarding Scoring
To what extent are most of the items or the tasks designed and formatted to be visually clear and uncluttered?
To what extent are most of the items or the task presented in as straightforward a way as possible for a range of learners?
To what degree is the vocabulary and context(s) presented by most of the items or task free from cultural or other unintended bias?
Does the assessment use appropriate levels of academic language for the grade and content area?
Does the assessment limit the usage of words that can be confused with one another (homonyms)?
If applicable, what type of accommodations are provided to ensure that English Learners and/or Students with Disabilities can fully access the content represented by the task or set of items reviewed?
Explanation of accommodations selected
Are there adequate accommodations permitted for this assessment?
Overall Strengths and Suggestions Regarding Fair and Unbiased ratings
Does this assessment engage a student in thinking that connects to a real world, new context, situation, problem or challenge?
To what extent do you think the knowledge and skills tested by the assessment can provide good information about what students have learned in the classroom?
Meaningful dialogue about learning expectations and outcomes with students and parents
Clearly communicates expectations for academic excellence
Teachers can use the results (scores and student work analysis) to understand what competency on standard/s look like
Teachers can identify what purpose the assessment serves (e.g. diagnostic, report card grades, adjusting instruction, etc.)
Overall Strengths and Suggestions Regarding Opportunities to Learn
Spreadsheet: 738816d1625244415-formula-for-separating-multiplication-into-multiplier-and-multiplicand-multi
Sheet: multi

 | Multiplication (text) |  |  |  |  |  | Multiplier | Multiplicand
 | 1 x 298 015,50 zł
 | 1 x 295 009,50 zł
 | 0 x 0,00 zł
 | 2 x 147 901,20 zł
 | 1 x 346 011,60 zł
 | 0 x 0,00 zł
 | 4 x 88 325,00 zł
 | 3 x 120 568,10 zł
Spreadsheet: 2478bce3-9a44-4031-a6e8-5ff97b297c3a
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11
COMUNE DI:
 | DATI RELATIVI ALL'AUTONOMA SISTEMAZIONE
NUM. PROGR | n. componenti nucleo familiare |  | [NAME] età superiore ai 65 anni |  | [NAME] di handicap o con disabilità maggiore al 67% | sistemazione con oneri a carico della pubblica amministrazione |  |  | autonoma sistemazione |  | Calcolo del contributo
 |  |  |  |  |  | dal | al | specificare soggetto pubblico | dal | al
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
 |  |  |  |  |  |  |  |  |  | Sub totale
COMUNE DI:
 | DATI RELATIVI ALL'AUTONOMA SISTEMAZIONE
NUM. PROGR | n. componenti nucleo familiare |  | [NAME] età superiore ai 65 anni |  | [NAME] di handicap o con disabilità maggiore al 67% | sistemazione con oneri a carico della pubblica amministrazione |  |  | autonoma sistemazione |  | Calcolo del contributo
 |  |  |  |  |  | dal | al | specificare pubblica amministrazione (es: comune, protezione civile etc..) | dal | al
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
 |  |  |  |  |  |  |  |  |  | Sub totale
COMUNE DI:
 | DATI RELATIVI ALL'AUTONOMA SISTEMAZIONE
NUM. PROGR | n. componenti nucleo familiare |  | [NAME] età superiore ai 65 anni |  | [NAME] di handicap o con disabilità maggiore al 67% | sistemazione con oneri a carico della pubblica amministrazione |  |  | autonoma sistemazione |  | Calcolo del contributo
 |  |  |  |  |  | dal | al | specificare pubblica amministrazione (es: comune, protezione civile etc..) | dal | al
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
 |  |  |  |  |  |  |  |  |  | Sub totale
COMUNE DI:
 | DATI RELATIVI ALL'AUTONOMA SISTEMAZIONE
NUM. PROGR | n. componenti nucleo familiare |  | [NAME] età superiore ai 65 anni |  | [NAME] di handicap o con disabilità maggiore al 67% | sistemazione con oneri a carico della pubblica amministrazione |  |  | autonoma sistemazione |  | Calcolo del contributo
 |  |  |  |  |  | dal | al | specificare pubblica amministrazione (es: comune, protezione civile etc..) | dal | al
 |  |  |  |  |  |  |  |  |  | Sub totale
Spreadsheet: 0202e4f1-f7b7-41db-ab23-ae073b937056
Sheet: Sheet1

Table 4--Wheat: Monthly food disappearance estimates (1,000 grain-equivalent bushels), 5/14/2013 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11
Mkt year and month 1/
 |  |  | Wheat ground for flour | + | Food imports 2/ | + | Nonmilled food use 3/ | - | Food exports 2/ | = | Food use 4/
2011/12 | Jun |  | 70554 |  | 2237 |  | 2000 |  | 1743 |  | 73048
 | Jul |  | 72573 |  | 2098 |  | 2000 |  | 1326 |  | 75344
 | Aug |  | 79317 |  | 2308 |  | 2000 |  | 2390 |  | 81235
 | Sep |  | 76269 |  | 2245 |  | 2000 |  | 1652 |  | 78863
 | Oct |  | 81402 |  | 2246 |  | 2000 |  | 1487 |  | 84162
 | Nov |  | 77915 |  | 2568 |  | 2000 |  | 1763 |  | 80720
 | Dec |  | 73135 |  | 2464 |  | 2000 |  | 1291 |  | 76308
 | Jan |  | 74522 |  | 2583 |  | 2000 |  | 1280 |  | 77826
 | Feb |  | 73931 |  | 2056 |  | 2000 |  | 1336 |  | 76650
 | Mar |  | 78437 |  | 2556 |  | 2000 |  | 1764 |  | 81230
 | Apr |  | 74497 |  | 2621 |  | 2000 |  | 1506 |  | 77613
 | May |  | 76171 |  | 2527 |  | 2000 |  | 2342 |  | 78355
2012/13 | Jun |  | 72876 |  | 2178 |  | 2000 |  | 1724 |  | 75330
 | Jul |  | 75861 |  | 2295 |  | 2000 |  | 2906 |  | 77250
 | Aug |  | 82910 |  | 2345 |  | 2000 |  | 2187 |  | 85069
 | Sep |  | 79725 |  | 2062 |  | 2000 |  | 2283 |  | 81504
 | Oct |  | 81567 |  | 2460 |  | 2000 |  | 1834 |  | 84194
 | Nov |  | 78073 |  | 2446 |  | 2000 |  | 1598 |  | 80920
 | Dec |  | 73283 |  | 2371 |  | 2000 |  | 1447 |  | 76207
 | Jan |  | 72290 |  | 2191 |  | 2000 |  | 1550 |  | 74931
 | Feb |  | 71716 |  | 2101 |  | 2000 |  | 1674 |  | 74143
 | Mar |  | 76088 |  | 2391 |  | 2000 |  | 1744 |  | 78734
1/ Current year is preliminary. Previous year is preliminary through August of current year, estimated afterwards. 2/ Food imports and exports used to calculate total food use. Includes all categories of wheat flour, semolina, bulgur, and couscous and selected categories of pasta. 3/ Wheat prepared for food use by processes other than milling.
4/ Estimated food use equals wheat ground for flour plus food imports plus nonmilled food use minus food exports. See http://www.ers.usda.gov/topics/crops/wheat/estimating-wheat-supply-and-use/food-use-estimates.aspx for more information. Source: Data through the 2nd quarter of 2011 was calculated using data from U.S. Department of Commerce, Bureau of the Census’ Flour Milling Products (MQ311A) and U.S. Department of Commerce, Bureau of Economic Analysis’ Foreign Trade Statistics. Subsequent flour milling calculations are based on data from the North American Millers Association.
Date run: 5/14/2013
Spreadsheet: 130017d1322009103-match-formula-does-not-work-when-data-is-sorted-autosorter
Sheet: Sheet1

Adam
Anna
[NAME]
[NAME]
[NAME]
[NAME]
[NAME]
[NAME]
[NAME]
Bethany
Brittany
[NAME]
[NAME]
Chad
[NAME]
[NAME]
Carmen
Carrie
[NAME]
Curtis