tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 827184d1682528220-combining-totals-from-two-sheets-based-on-dates-test-data-set
Sheet: Data Set

Start Date | View Count | Unique View Count | Sales
2023-03-01 00:00:00 | 7 | 7
2023-03-02 00:00:00 | 3 | 3
2023-03-03 00:00:00 | 4 | 4
2023-03-04 00:00:00 | 3 | 3
2023-03-05 00:00:00 | 2 | 2
2023-03-06 00:00:00 | 1 | 1
2023-03-07 00:00:00 | 1 | 1
2023-03-08 00:00:00 | 2 | 2
2023-03-09 00:00:00 | 4 | 4
2023-03-10 00:00:00 | 2 | 2
2023-03-11 00:00:00 | 0 | 0
2023-03-12 00:00:00 | 2 | 2
2023-03-13 00:00:00 | 2 | 2
2023-03-14 00:00:00 | 2 | 2
2023-03-15 00:00:00 | 3 | 2
2023-03-16 00:00:00 | 9 | 8
2023-03-17 00:00:00 | 9 | 9
2023-03-18 00:00:00 | 13 | 13
2023-03-19 00:00:00 | 39 | 19
2023-03-20 00:00:00 | 53 | 35
2023-03-21 00:00:00 | 55 | 25
2023-03-22 00:00:00 | 44 | 27
2023-03-23 00:00:00 | 33 | 21
2023-03-24 00:00:00 | 27 | 18
2023-03-25 00:00:00 | 23 | 17
2023-03-26 00:00:00 | 22 | 20
2023-03-27 00:00:00 | 34 | 21
2023-03-28 00:00:00 | 41 | 32
2023-03-29 00:00:00 | 48 | 31
2023-03-30 00:00:00 | 33 | 25
2023-03-31 00:00:00 | 28 | 20
2023-04-01 00:00:00 | 30 | 19
2023-04-02 00:00:00 | 18 | 5
2023-04-03 00:00:00 | 43 | 20
2023-04-04 00:00:00 | 32 | 19
2023-04-05 00:00:00 | 23 | 10
2023-04-06 00:00:00 | 26 | 15
2023-04-07 00:00:00 | 21 | 16
2023-04-08 00:00:00 | 14 | 7
2023-04-09 00:00:00 | 17 | 10
2023-04-10 00:00:00 | 22 | 18
2023-04-11 00:00:00 | 31 | 16
2023-04-12 00:00:00 | 39 | 18
2023-04-13 00:00:00 | 31 | 19
2023-04-14 00:00:00 | 18 | 12
2023-04-15 00:00:00 | 27 | 22
2023-04-16 00:00:00 | 18 | 10
2023-04-17 00:00:00 | 29 | 26
2023-04-18 00:00:00 | 19 | 14
2023-04-19 00:00:00 | 34 | 29
2023-04-20 00:00:00 | 47 | 24
2023-04-21 00:00:00 | 20 | 13
2023-04-22 00:00:00 | 22 | 13
2023-04-23 00:00:00 | 22 | 15
2023-04-24 00:00:00 | 31 | 19
2023-04-25 00:00:00 | 39 | 26
2023-04-26 00:00:00 | 12 | 6
Spreadsheet: 215911d1361538871-extract-multiples-records-from-adatabase-which-meet-a-specific-condition-excel-forum
Sheet: Table of Items

 | Product Name | Available period
 | Oranges | January
 | Oranges | February
 | Oranges | March
 | Oranges | April
 | [NAME] | January
 | [NAME] | February
 | [NAME] | March
 | [NAME] | April
 | Watermelon / Anguria | May
 | Watermelon / Anguria | June
 | Watermelon / Anguria | July
 | Watermelon / Anguria | August
 | Watermelon / Anguria | September
 | Melon / Melone giallo | May
 | Melon / Melone giallo | June
 | Melon / Melone giallo | July
 | Melon / Melone giallo | August
 | Melon / Melone giallo | September
 | Lemon | January
 | Lemon | February
 | Lemon | March
 | Lemon | April
 | Lemon | May
 | Lemon | June
 | Lemon | July
 | Lemon | August
 | Lemon | September
 | Lemon | October
 | Lemon | November
 | Peaches | July
 | Peaches | August
 | Peaches | September
 | Peaches | October
 | Nectarines | July
 | Nectarines | August
 | Nectarines | September
 | Nectarines | October
 | Apricots | July
 | Apricots | August
 | Apricots | September
 | Apricots | October
Spreadsheet: 140127d1328629483-excel-2007-showing-the-contents-of-a-cell-from-a-different-sheet-that-changes-position-str
Sheet: Week 1

Pearson Stone Co. |  |  |  |  |  |  |  | 12:26 PM
Sales Tax Liability |  |  |  |  |  |  |  | 2012-02-06 00:00:00
January 1 - 7, 2012 |  |  |  |  |  |  |  | Cash Basis
 |  |  |  |  |  |  |  | Sales Tax Payable
 |  |  | Total Sales | Non-Taxable Sales | Taxable Sales | Tax Rate | Tax Collected | As of Jan 7, 12
 | Texas Comptroller Sales Tax
 |  | [NAME] | 0 | 0 | 0 | 0.02 | 0 | 4.19
 |  | Garland | 0 | 0 | 0 | 0.01 | 0 | 6.6
 |  | MTA | 0 | 0 | 0 | 0.01 | 0 | 6.6
 |  | Royse City | 0 | 0 | 0 | 0.02 | 0 | 7.7
 |  | State | 650.92 | 650.92 | 0 | 0.0625 | 0 | 405.8
 | Total Texas Comptroller Sales Tax
TOTAL
Spreadsheet: 752649d1634881094-help-to-create-an-order-list-based-on-products-by-cheapest-supplier-price-comparison-test-1-
Sheet: COMPARE

 |  | PRODUCT | FROM | PRICE | ORDER CODE | CHEAPEST PRICE | FROM |  |  |  | List of sumppliers | List of products
 |  | 12oz compostable d/w cup
 |  | FROM | PRODUCT | PRICE | IS IT CHEAPEST PRICE WITHIN PRODUCT GROUP? | CHEAPEST PRICE WITHIN PRODUCT GROUP | FROM
 |  | Next Day Coffee
Spreadsheet: 692261d1598242692-execel-formula-for-changing-prices-according-to-dates-changing-prices
Sheet: PURCHASES DATA

ZW$ PRODUCT  PRICE LISTS |  |  |  |  |  |  | PURCHASES DATA
Date | Product Number | Description | Price |  | Date | Invoice | Supplier Number | Name | VAT Number | Order Number | Product Number | Description | Unit Price | Quantity | Gross Amount
2020-01-01 00:00:00 | Z001 | Rent | 2000 |  | 2020-01-01 00:00:00 | 100 | A001 | [NAME] | 10004588 | 1 | Z001 |  |  | 1
2020-01-01 00:00:00 | Z002 | Ssecurity | 1500 |  | 2020-01-01 00:00:00 | 101 | A002 | Fawcety | 10004589 | 2 | Z002 |  |  | 2
2020-01-01 00:00:00 | Z003 | Elecricity | 1000 |  | 2020-01-01 00:00:00 | 102 | A003 | ZESA | 10004590 | 3 | Z003 |  |  | 1
2020-02-01 00:00:00 | Z001 | Rent | 3000 |  | 2020-02-01 00:00:00 | 100 | A001 | [NAME] | 10004588 | 1 | Z001 |  |  | 1
2020-02-01 00:00:00 | Z002 | Ssecurity | 2000 |  | 2020-02-01 00:00:00 | 101 | A002 | Fawcety | 10004589 | 2 | Z002 |  |  | 2
2020-02-01 00:00:00 | Z003 | Elecricity | 1500 |  | 2020-02-01 00:00:00 | 102 | A003 | ZESA | 10004590 | 3 | Z003 |  |  | 1
I want a excel formula which will automate changing prices for example prices changed in february but on purchases data the system records January prices in the month of february.
 |  |  |  |  |  |  | Desired outcome
 |  |  |  |  | Date | Invoice | Supplier Number | Name | VAT Number | Order Number | Product Number | Description | Unit Price | Quantity | Gross Amount
 |  |  |  |  | 2020-01-01 00:00:00 | 100 | A001 | [NAME] | 10004588 | 1 | Z001 |  |  | 1
 |  |  |  |  | 2020-01-01 00:00:00 | 101 | A002 | Fawcety | 10004589 | 2 | Z002 |  |  | 2
 |  |  |  |  | 2020-01-01 00:00:00 | 102 | A003 | ZESA | 10004590 | 3 | Z003 |  |  | 1
 |  |  |  |  | 2020-02-01 00:00:00 | 100 | A001 | [NAME] | 10004588 | 1 | Z001 |  | 3000 | 1
 |  |  |  |  | 2020-02-01 00:00:00 | 101 | A002 | Fawcety | 10004589 | 2 | Z002 |  | 2000 | 2
 |  |  |  |  | 2020-02-01 00:00:00 | 102 | A003 | ZESA | 10004590 | 3 | Z003 |  | 1500 | 1
Spreadsheet: 677349d1589311643-filter-and-total-2020-05-12-oeldere-deearo-677342d1589310671-filter-and-total-filter
Sheet: Sheet3

38
I WOULD LIKE THIS COOLUM TO PULL UP ALL FILTERS FOR 38 | I WOULD LIKE THIS COOLUM TO SUM UP THE TOTAL FOR EACH FILTER
IF REPAIRS 38 DOESN’T WORK IN A FORMULA  - I CAN DO THIS MANUALLY
I WOULD LIKE TO EDIT OUT [NAME] *20% IF NEEDED
I DON’T MIND EDITING THE FILTER CRITERIA WITHIN THE FORMULA
INFORMATION GATHER FROM SHEET 1
HOUSE | OUT |  | Rijlabels | Som van Money Out
38 INSURANCE | 45 |  | 38  ENERGY | 100
38  TAX | 120 |  | 38  TAX | 120
38  ENERGY | 100 |  | 38 INSURANCE | 45
38 TV | 60 |  | 38 TV | 60
REPAIRS 38 | 24 |  | REPAIRS 38 | 24.99
TOTAL |  |  | Eindtotaal | 349.99
Spreadsheet: 2e488d08-b063-4b4f-bcc6-2fa114964db1
Sheet: Sheet1

Table 4--U.S. fiber demand | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5
 | Nov. | Dec. | Jan. |  | Jan.
Item | 2013 | 2013 | 2014 |  | 2013
 | 1,000 480-lb. [NAME]
Cotton:
All consumed by mills 1/ | 282 | 243 | 291 |  | 299
Total since August 1 | 1226 | 1470 | 1761 |  | 1695
Daily rate | 13.4 | 11.1 | 12.7 |  | 13
Upland consumed by mills 1/ | 281 | 242 | 290 |  | 297
Total since August 1 | 1221 | 1463 | 1753 |  | 1687
Daily rate | 13.4 | 11 | 12.6 |  | 12.9
Upland exports | 399 | 741 | 1261 |  | 1502
Total since August 1 | 2173 | 2914 | 4175 |  | 4871
Sales for next season | 73 | 59 | 169 |  | 67
Total since August 1 | 251 | 310 | 478 |  | 609
Extra-long staple exports | 83 | 65.5 | 80.9 |  | 75.4
Total since August 1 | 220.7 | 286.2 | 367.1 |  | 368.1
Sales for next season | 0 | 0 | 2.6 |  | 0
Total since August 1 | 0 | 0 | 2.6 |  | 4.4
 | Oct. | Nov. | Dec. |  | Dec.
 | 2013 | 2013 | 2013 |  | 2012
 | Million pounds
Manmade:
Raw fiber exports | 53.4 | 46 |  |  | 49.5
Noncellulosic | 52.7 | 45.3 |  |  | 49.1
Cellulosic | 0.7 | 0.7 |  |  | 0.4
Total since January 1 | 552.9 | 598.9 |  |  | 679.6
Total since January 1
 | 1,000 pounds
Wool and mohair:
Raw wool exports, clean | 837.9 | 694.1 | 698.8 |  | 596.5
Total since January 1 | 8604.6 | 9298.7 | 9997.4 |  | 7740.6
Wool top exports | 129.3 | 131.9 | 68.8 |  | 138.9
Total since January 1 | 1890.5 | 2022.4 | 2091.2 |  | 1060.8
Mohair exports, clean | 62.5 | 29.5 | 29.6 |  | 130.8
Total since January 1 | 685.1 | 714.6 | 744.2 |  | 582.8
NA = Not available.
1/  Estimated by USDA.
Sources: USDA, Farm Service Agency; USDA, Foreign Agricultural Service,
U.S. Export Sales; U.S. Dept. of Commerce, U.S. Census Bureau;
and [NAME].
Last update: 3/12/14.
Spreadsheet: 73757d1274344244-excel-2007-listing-x-largest-values-729928_confusus
Sheet: pivot

Name | [NAME] | No. | Sum of Value
Arden Wells | [EMAIL] | 30 | 1945
[NAME] | [EMAIL] | 85 | 1938
[NAME] | [EMAIL] | 82 | 1916
[NAME] | [EMAIL] | 32 | 1848
Dieter Carpenter | [EMAIL] | 47 | 1836
[NAME] | [EMAIL] | 74 | 1825
[NAME] | [EMAIL] | 93 | 1817
[NAME] | [EMAIL] | 96 | 1816
[NAME] | [EMAIL] | 99 | 1801
Dillon Haynes | [EMAIL] | 64 | 1731
Grand Total |  |  | 18473
Spreadsheet: 115105d1310731859-formula-for-repeated-line-item-7-condtion
Sheet: Sheet2

 |  | mat | Qty
 |  | 132F0018 | 24
 |  | 132B0101 | 36
 |  | 132B0101 | 12
 |  | 132F0020 | 6
 |  | 132B0101 | 36
 |  | 132F0020 | 12
 |  | 132F0018 | 18
 |  | 132F0022 | 6
 |  | 132F0018 | 24
 |  | 132F0020 | 6
 |  | 132B0101 | 12
 |  | 132F0018 | 24
 |  | 132F0022 | 6
 |  | 132B0101 | 12
 |  | 132F0018 | 6
 |  | 132B0101 | 48
 |  | 132F0018 | 12
 |  | 132F0022 | 6
 |  | 132B0101 | 36
 |  | 132F0020 | 12
 |  | 131F5388 | 2
 |  | 131H3996 | 1
 |  | 131H5487 | 1
 |  | 132F0018 | 6
 |  | 132B0101 | 48
 |  | 132F0020 | 6
 |  | 132F0022 | 6
 |  | 176F8655 | 1
 |  | 131F5388 | 1
 |  | 132F0022 | 6
 |  | 132B0101 | 36
 |  | 132F0020 | 6
 |  | 131F5388 | 1
 |  | 132F0022 | 6
 |  | 131B0029 | 1
 |  | 131B9057 | 1
 |  | 195N1074 | 1
 |  | 131B4216 | 1
 |  | 131B3611 | 1
 |  | 131F0426 | 1
 |  | 131F5456 | 1
 |  | 131F5495 | 1
 |  | 131B3611 | 1
 |  | 131B1370 | 1
 |  | 131B3680 | 1
 |  | 131B3721 | 1
 |  | 131F0564 | 92
 |  | 131F8899 | 2
 |  | 131B3611 | 1
 |  | 131F0563 | 1
 |  | 131F5494 | 1
 |  | 131F6626 | 2
 |  | 130B0294 | 4
 |  | 132F0002 | 6
 |  | 132B0200 | 15
 |  | 130B1107 | 10
 |  | 131B8471 | 1
 |  | 131L1609 | 1
 |  | 130B1955 | 1
 |  | 131F5456 | 1
 |  | 130B1847 | 1
 |  | 130B1920 | 1
 |  | 130B1924 | 1
 |  | 195N1121 | 1
 |  | 131F5494 | 4
 |  | 131H3996 | 1
 |  | 131H3084 | 1
 |  | 130B1885 | 3
 |  | 131B3663 | 1
 |  | 131F0564 | 45
 |  | 130B1936 | 1
 |  | 130B1246 | 3
 |  | 131H3986 | 4
 |  | 131F0446 | 1
 |  | 131H3986 | 1
 |  | 130B1109 | 1
 |  | 130B1164 | 1
 |  | 131F8899 | 1
 |  | 132F0060 | 2
 |  | 130B1107 | 2
 |  | 130B1117 | 141
 |  | 131B4349 | 1
 |  | 130B1023 | 4
 |  | 131H3986 | 4
 |  | 175N0131 | 38
 |  | 195N1013 | 1
 |  | 195N1037 | 4
 |  | 195N1085 | 3
 |  | 195N1097 | 2
 |  | 131B0080 | 2
 |  | 131B0081 | 2
 |  | 195N1121 | 1
 |  | 130B1107 | 1
 |  | 131B0052 | 1
 |  | 131L9868 | 2
 |  | 195N1085 | 1
 |  | 195N1073 | 2
 |  | 131H7069 | 1
 |  | 175N0131 | 7
 |  | 132B0200 | 9
 |  | 131B6105 | 2
 |  | 195N1109 | 1
 |  | 195N1109 | 1
 |  | 131F5495 | 2
 |  | 131F0564 | 7
 |  | 131H3986 | 1
 |  | 132F0017 | 6
 |  | 132F0017 | 6
 |  | 131F8899 | 1
 |  | 130B1117 | 2
 |  | 195N1097 | 1
 |  | 131H3986 | 1
 |  | 131H3986 | 2
 |  | 131F5495 | 1
Spreadsheet: 109407d1306271553-need-help-with-multiple-values-copy-of-sample_bol-1
Sheet: Sheet1

Part No. |  | P/O No. |  | W/O No.
Spreadsheet: 486673d1477599881-need-to-call-up-info-maybe-a-vlookup-question-i-dont-know-testing-1-
Sheet: Facebook

LASTNAME, FIRST
EMPLOYEE # |  |  |  | EMPLOYEE # |  | 2215 |  | EMPLOYEE # |  | 3999
DEPT | HIRE DATE
LASTNAME, FIRST |  |  |  | LASTNAME, FIRST |  |  |  | LASTNAME, FIRST
EMPLOYEE # |  |  |  | EMPLOYEE # |  |  |  | EMPLOYEE #
DEPT | HIRE DATE |  |  | DEPT | HIRE DATE |  |  | DEPT | HIRE DATE
Spreadsheet: 763416d1642164089-what-formula-to-find-a-date-between-date-range-data
Sheet: Lookup

 | Period |  |  | Period | Period Start | Period End | Column1 | Column2
2020-11-20 00:00:00 | [NAME]? |  |  | P01/2021 | 2020-09-24 00:00:00 | 2020-10-28 00:00:00
2020-11-26 00:00:00 | [NAME]? |  |  |  |  | 2020-11-25 00:00:00 | 02 | 2021
 |  |  |  |  |  | 2020-12-23 00:00:00 | 03 | 2021
 |  |  |  |  |  | 2021-01-27 00:00:00 | 04 | 2021
 |  |  |  |  |  | 2021-02-24 00:00:00 | 05 | 2021
 |  |  |  |  |  | 2021-03-24 00:00:00 | 06 | 2021
 |  |  |  |  |  | 2021-04-28 00:00:00 | 07 | 2021
 |  |  |  |  |  | 2021-05-26 00:00:00 | 08 | 2021
 |  |  |  |  |  | 2020-06-23 00:00:00 | 09 | 2021
 |  |  |  |  |  | 2021-07-28 00:00:00 | 10 | 2021
 |  |  |  |  |  | 2021-08-25 00:00:00 | 11 | 2021
 |  |  |  |  |  | 2021-09-22 00:00:00 | 12 | 2021
 |  |  |  |  |  | 2021-10-27 00:00:00 | 01 | 2022
 |  |  |  |  |  | 2021-11-24 00:00:00 | 02 | 2022
 |  |  |  |  |  | 2021-12-22 00:00:00 | 03 | 2022
 |  |  |  |  |  | 2022-01-26 00:00:00 | 04 | 2022
 |  |  |  |  |  | 2022-02-23 00:00:00 | 05 | 2022
 |  |  |  |  |  | 2022-03-23 00:00:00 | 06 | 2022
 |  |  |  |  |  | 2022-04-27 00:00:00 | 07 | 2022
 |  |  |  | The Formula IF(AND(E66732>=Sheet1!$N$2,E66732<=Sheet1!$O$2),Sheet1!$M$2,IF(AND(E66732>=Sheet1!$N$3,E66732<=Sheet1!$O$3),Sheet1!$M$3,IF(AND(E66732>=Sheet1!$N$4,E66732<=Sheet1!$O$4),Sheet1!$M$4,IF(AND(E66732>=Sheet1!$N$5,E66732<=Sheet1!$O$5),Sheet1!$M$5,IF(AND(E66732>=Sheet1!$N$6,E66732<=Sheet1!$O$6),Sheet1!$M$6,IF(AND(E66732>=Sheet1!$N$7,E66732<=Sheet1!$O$7),Sheet1!$M$8,IF(AND(E66732>=Sheet1!$N$9,E66732<=Sheet1!$O$9),Sheet1!$M$9,IF(AND(E66732>=Sheet1!$N$10,E66732<=Sheet1!$O$10),Sheet1!$M$10,IF(AND(E66732>=Sheet1!$N$11,E66732<=Sheet1!$O$11),Sheet1!$M$11,IF(AND(E66732>=Sheet1!$N$12,E66732<=Sheet1!$O$12),Sheet1!$M$12,IF(AND(E66732>=Sheet1!$N$13,E66732<=Sheet1!$O$13),Sheet1!$M$13,IF(AND(E66732>=Sheet1!$N$14,E66732<=Sheet1!$O$14),Sheet1!$M$14,IF(AND(E66732>=Sheet1!$N$15,E66732<=Sheet1!$O$15),Sheet1!$M$15)))))))))))))
Spreadsheet: 215899d1361533697-drop-down-queries-drop_down_form
Sheet: Sheet2

 | Royal Mail |  | Royal Mail Specifics |  | TNT Specifics
 | TNT
 |  |  | Letter |  | Letter
 |  |  | Large Letter |  | Mechanical Letter
 |  |  | A3 Packet |  | Large Letter
 |  |  | Packet
 |  |  | Big Book
 |  |  | Heavyweight
 |  |  | Economy |  | Economy
 |  |  | 2nd Class
 |  |  | 1st Class
 |  |  | 2 Weeks
 |  |  | High Sort |  | 1400
 |  |  | [NAME] |  | 120
 |  |  | Low Sort CBC |  | 120 OCR
 |  |  |  |  | 120 CBC
 |  |  |  |  | Mail house id
 |  |  |  |  | 1
 |  |  |  |  | 2
 |  |  |  |  | 3
 |  |  |  |  | 4
 |  |  |  |  | 5
 |  |  |  |  | 6
 |  |  |  |  | 7
 |  |  |  |  | 8
 |  |  |  |  | 9
 |  |  |  |  | a
 |  |  |  |  | b
 |  |  |  |  | c
 |  |  |  |  | d
 |  |  |  |  | e
 |  |  |  |  | f
 |  |  |  |  | g
 |  |  |  |  | h
 |  |  |  |  | i
 |  |  |  |  | j
 |  |  |  |  | k
 |  |  |  |  | l
 |  |  |  |  | m
 |  |  |  |  | n
 |  |  |  |  | o
 |  |  |  |  | p
 |  |  |  |  | q
 |  |  |  |  | r
 |  |  |  |  | s
 |  |  |  |  | t
 |  |  |  |  | u
 |  |  |  |  | v
 |  |  |  |  | w
 |  |  |  |  | x
 |  |  |  |  | y
 |  |  |  |  | z
Spreadsheet: 121844d1316452674-how-to-search-value-to-use-using-multiple-criteria-matrix-sip
Sheet: Catalog

GELAS PET |  |  |  |  |  |  | Price level To Display
1 | 2 | 3 | 4 | 5 | 6 |  | A
7 | 8 | 9
Spreadsheet: 275e0191-b42b-4103-bdbd-afa41a40409e
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8
 | Housing and Interest Rate Forecast, 2/28/2014
 |  | 2009-12-31 00:00:00 | 2010-12-31 00:00:00 | 2011-12-31 00:00:00 | 2012-12-31 00:00:00 | 2013-12-31 00:00:00 | 2014-12-31 00:00:00 | 2015-12-31 00:00:00
 | Housing Activity (000)
 | Total Housing Starts | 554.0000000000003 | 585.5 | 611.9166666666667 | 783.1666666666661 | 931.083333333333 | 1104.026023787299 | 1531.650335531005
 | Single Family | 442.416666666667 | 471.416666666667 | 434.333333333333 | 536.583333333333 | 622.083333333333 | 766.6997038611431 | 1169.156475300176
 | Multifamily | 111.5833333333333 | 114.083333333333 | 177.5833333333337 | 246.583333333333 | 309 | 337.3263199261557 | 362.4938602308285
 | New Single Family Sales | 374.25 | 321.25 | 306.416666666667 | 367.833333333333 | 429.833333333333 | 562.1382583045707 | 859.3849788116422
 | Existing Single-Family Home Sales | 3868.33333333333 | 3705 | 3792.5 | 4130 | 4470.83333333333 | 4279.997845975745 | 4586.88672907223
 | Interest Rates
 | Federal Funds Rate | 0.00125 | 0.00125 | 0.00125 | 0.00125 | 0.00125 | 0.00125 | 0.0025
 | 90 day T [NAME] | 0.00150833333333333 | 0.00136666666666667 | 0.000525 | 0.000858333333333333 | 0.000583333333333333 | 0.0006241718749999999 | 0.001916336957324218
 | Treasury Yields:
 | One Year Maturity | 0.00470833333333333 | 0.00318333333333333 | 0.00181666666666667 | 0.00175 | 0.00131666666666667 | 0.0015460224 | 0.0037159353677376
 | Ten Year Maturity | 0.0325666666666667 | 0.0321416666666667 | 0.0278583333333333 | 0.018025 | 0.0235083333333333 | 0.030126051543 | 0.03880618869147343
 | Freddie Mac Commitment Rates:
 | Fixed Rate Mortgages | 0.0504225011666616 | 0.0469058332840602 | 0.0445583335856597 | 0.0365591666400433 | 0.0398191666666667 | 0.04650105154299999 | 0.05530618869147343
 | ARMs | 0.04709374984105431 | 0.0378874999384085 | 0.0303991668621699 | 0.0268816664616267 | 0.0261245833333333 | 0.0260460224 | 0.0282159353677376
 | Prime Rate | 0.0325 | 0.0325 | 0.0325 | 0.0325 | 0.0325 | 0.0325 | 0.033125
 | Data are averages of seasonally adjusted quarterly data and may not match annual
 | data published elsewhere.
 | For more forecast details, visit www.HousingEconomics.com.
Spreadsheet: b5cdc134-e137-4502-8aa4-eda15ac4a3bf
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3
Programa de Melhoria do Ensino de Graduação-Relatório de Execução 2009
Unidade: |  | Campus:
Item | Investimentos | Subtotal Previsto | Subtotal Executado
1 | Aparelhos para conforto ambiental
2 | Aparelhos para segurança patrimonial
3 | Equipamentos audiovisuais
4 | Equipamentos para Educação Física
5 | Equipamentos (científicos) para laboratórios
6 | Equipamentos para [NAME]
7 | Equipamentos Médicos/ Odontológicos/ Fisioterapia/ TO
8 | Equipamentos de Música
9 | Equipamentos para [NAME]
10 | Ferramentas Mecânicas
11 | Instrumentos para [NAME]
12 | Instrumentos para Arquitetura e Desenho
13 | Instrumentos para [NAME] e Som
14 | Instrumentos musicais
15 | Materiais para Laboratórios [NAME]
16 | Materiais para Clínicas Médicas/ Odontológicas/ Fisioterapia /TO
17 | Material Bibliográfico e Audiovisual
18 | Materiais para Educação Física
19 | [NAME] e Eletrônicos
20 | Materiais para Laboratórios Fotográfico e Audiovisual
21 | Materiais de Construção
22 | Materiais para conforto ambiental
23 | Materiais e Licenças para Informática
24 | Mobiliários para Laboratórios e Clínicas
25 | Mobiliários para [NAME]
26 | [NAME] e [NAME] (p/ laboratórios e salas de aula)
27 | [NAME] para equipamentos didáticos
28 | Serviços de conserto e manutenção de equipamentos de laboratórios
29 | [NAME] materiais de apoio (explicitar)
 | Total
Spreadsheet: 806217d1669168507-rolling-average-excluding-blank-cells-but-including-zeros-sample
Sheet: Sheet1

ID | VALUE | val_roll_ave | REQUIRED
1 | 123.2739130434782 |  | 123.2739130434782
1 | 8.18 |  | 65.72695652173913
1 | 41.81666666666666 |  | 57.75685990338164
1
1 | 0
1 | 7.15
1 | 90.28749999999998
1
1 | 12.65
2 | 121.5333333333333
2 | 39.25
2 | 53.47692307692309
2 | 15.4
2 | 0
2 | 62.0611111111111
2 | 35.8
2 | 70.07499999999999
2 | 49.56666666666666
2 | 126.6560606060606
2 | 23.06666666666667
2 | 126.6560606060606
2 | 23.06666666666667
2 | 177.1351724137931
2 | 8.4
2 | 12
2
2 | 110
2 | 0
2
Spreadsheet: 121b66e9-db4f-4a3c-aeee-2152db8d79f2
Sheet: 22

 |  | Net Notional Outstanding
Product Type |  | Cleared** | Uncleared
Total Metals* | Exotic
 | Option
 | Spot/Forward
 | Swap
Total Energy | Exotic
 | Option
 | Spot/Forward
 | Swap
Total Agricultural | Exotic
 | Option
 | Spot/Forward
 | Swap
Total Index | Exotic
 | Option
 | Spot/Forward
 | Swap
Total Other*** | Exotic
 | Option
 | Spot/Forward
 | Swap
TOTAL |  | N/A**** | N/A
Estimated net notional amount outstanding, January 25 weekly snapshot, by product type and cleared status (millions of USD), all participant types, tenors, and currencies.
Total(s) may be less than total shown for this asset class in the All Swaps reports and/or other CFTC Swaps Report tables if products were excluded from this table that (a) presented disclosure risk or (b) did not belong in the categories shown. See Explanatory Notes for more detail.
*See Data Dictionary for product descriptions.
**See Explanatory Notes for cleared and uncleared descriptions.
***Environment, Freight, Multi-Commodity Exotic
****N/A indicates that data are not currently available.
The Commission requests feedback on the format and content of this CFTC Swaps Report table. Submit comments to [EMAIL].
Spreadsheet: 761677d1641147681-dynamic-dropdown-in-excel-dnamic-dropdown-1-
Sheet: JE

 |  |  |  |  |  |  |  |  |  | 1
 |  |  |  |  |  |  |  |  |  | ERP
 |  |  |  |  |  |  |  |  |  | BH
 |  |  |  |  |  | 4 |  |  | 2 |  | 3
Line Items: | Code | key | Account | Currency | Amount | SrcAcct | CC | PC | CoCode | Text | [NAME]
 |  |  |  |  |  | [PHONE] |  |  | 5500
Spreadsheet: 125404d1319017336-excel-2007-moving-values-between-sheets-by-using-number-commands-copy-of-afhendingase-lar-and-loadinfo
Sheet: ULD7&8

Name of airline |  |  |  | Aircraft Position |  |  | Name of Airline |  |  |  | Aircraft Position
Built up by: | Hjortur |  | Origin | ULD Ident |  |  | Built up by: | Hjortur |  | Origin | ULD Ident
Total Pages: |  |  |  | PAJ 0063 BF |  |  | Total Pages: |  |  |  | PAJ 0076 BF
AWB | DEST | PCS | WEIGHT |  | Flight Number |  | AWB | DEST | PCS | WEIGHT |  | Flight Number
3014 3030 | Dublin | 10 | 155
 |  |  |  |  | Offload Point |  |  |  |  |  |  | Offload Point
 |  |  |  |  | Final Dest |  |  |  |  |  |  | Final Dest
ULD Tare Weight: |  |  |  |  |  |  |  | ULD Tare Weight:
RMK | Total |  |  |  |  |  | RMK | Total
Spreadsheet: 0780eaec-43a2-4736-9a69-2dd76db0c58e
Sheet: Sheet1

COUNTY SUMMARY/NAMES ON CHECKLIST | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9
Sept. 14, 2010 | Republican | Democratic | Undeclared | Total |  | 1 | 2A | 2B | 3
Belknap County | 15662 | 10876 | 17438 | 43976 |  | 341 | 2483 | 517 | 2385
Carroll County | 11936 | 7912 | 17887 | 37735 |  | 222 | 2476 | 590 | 2533
Cheshire County | 13085 | 17599 | 25001 | 55685 |  | 623 | 2245 | 1627 | 2838
Coos County | 5432 | 6571 | 8800 | 20803 |  | 123 | 913 | 481 | 1189
Grafton County | 16379 | 19559 | 29850 | 65788 |  | 398 | 2592 | 1643 | 3579
Hillsborough County | 81088 | 77218 | 106592 | 264898 |  | 2072 | 12612 | 3462 | 13852
Merrimack County | 32154 | 31192 | 42405 | 105751 |  | 1120 | 5630 | 3561 | 6576
Rockingham County | 68920 | 61648 | 88675 | 219243 |  | 1153 | 10962 | 1866 | 10590
Strafford County | 20593 | 27487 | 34064 | 82144 |  | 450 | 2949 | 731 | 2981
Sullivan County | 7773 | 8415 | 12437 | 28625 |  | 120 | 1257 | 698 | 1611
Totals | 273022 | 268477 | 383149 | 924648 |  | 6622 | 44119 | 15176 | 48134
corrected 11/1/10
1. Number of persons who registered to vote at the polling place
2A. Number of undeclared voters voting Republican
2B. Number of undeclared voters voting Democratic
3. Number of undeclared voters declaring a party to vote and
returned to undeclared status before leaving the polling place