tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 65b2fc0a-b430-471d-8ac6-ca37fc756d6a
Sheet: Sheet1

Country | Water Productivity (€/m3) | GDP/capita (thousand €) | Total Annual Abstraction/capita (m3) | Reference YEAR | Unnamed: 5 | Unnamed: 6
LU | 795.5872340425532 | 75.2 | 94.52137588720763 | 2009
DK | 342.1873056869164 | 40.6 | 118.6484692016801 | 2009
IE | 260.1820547945205 | 43.5 | 167.1906236360315 | 2007
EE | 156.2684392621619 | 12.2 | 78.07078676669198 | 2008
SE | 128.4958935361217 | 36.9 | 287.1687101006615 | 2007
CY | 91.59510869565217 | 21.1 | 230.3616459489127 | 2009
CH | 83.84483730463747 | 41.6 | 496.1545795461768 | 2007
SK | 79.66686046511629 | 10.2 | 128.0331613477636 | 2007
DE | 75.18343085353395 | 29.5 | 392.3736874613959 | 2007
CZ | 72.65012840267077 | 13.5 | 185.822107913903 | 2009
UK* | 68.86105634921377 | 28.21 | 409.6797711957482 | 2001
FR | 60.92686301386069 | 29.6 | 485.8283938443718 | 2007
AT | 57.05269846289743 | 24.9 | 436.4386027453722 | 1999
BE | 53.98262827730417 | 31.6 | 585.3734990018175 | 2007
NL | 53.6936435525587 | 34.9 | 649.983828455182 | 2007
FI | 52.54988913525499 | 23.7 | 451 | 1999
LV | 47.98373776425708 | 8 | 166.7231519 | 2010
SI | 37.44496288441145 | 17.1 | 456.6702350002549 | 2009
ES | 33.50425060062835 | 23.9 | 713.3423243781423 | 2008
PL | 26.95304332725536 | 8.1 | 300.5226497673139 | 2009
IT | 26.01626016260163 | 19.2 | 738 | 1998
GR | 23.35371632246567 | 19.9 | 852.112774053726 | 2007
[NAME] | 19.43024668630339 | 10.5 | 540.3945801368325 | 2008
RO | 19.27836530470914 | 6.5 | 337.1655167470159 | 2008
PT | 9.84503190519599 | 10.8 | 1097 | 1998
LT | 7.249003262051468 | 8.4 | 1158.78 | 2010
BG | 3.742018714577759 | 3 | 801.7063058270978 | 2005
Notes: | EUROSTAT Data (in red font) |  |  |  |  | Graph : Water Productivity (€/m3) in EU countries, depicting the economic activity (GDP/capita) and the resource use (total annual water abstraction/capita), ranked from high to low productivity.
 | WISE-SoE Data (in black font)
 |  |  |  |  |  | Source: Graph created by the ETC/ICM. The data on population and GDP (€ at current market price) have been obtained from EUROSTAT. UK* represents only England and Wales. The water abstraction data have been obtained from the WISE-SoE#3 reporting for AT, BG, CH, DK, EE, FR, LT, LV, NL, RO, UK* and from the EUROSTAT JQ IWA for BE, CY, CZ, DE, ES, FI, GR, [NAME], IE, IT, [NAME], PL, PT, SE, SI, SK. The above data have been obtained for the latest available years as follows: 1998: IT, PT, 1999: AT, FI, 2001: UK*, 2005: BG, 2007: BE, CH, DE, FR, GR, IE, NL, SE, SK, 2008: EE, ES, HU, RO, 2009: CY, CZ, DK, [NAME], PL, SI, 2010: LT, LV.
Spreadsheet: 105013d1302509687-compare-spreadsheets-test2
Sheet: a

for 01.03.11 - 04.03.11 for account DKtest1 |  |  |  |  |  |  |  |  |  |  |  |  | Collection
[NAME] | Colldate | Consignee | Postcode | Reference | Items | Type | Weight | Charge | Zone | Instructions | Serv. Lvl | Collected From | Postcode
1234545 | 2011-03-01 00:00:00 | consignee 1 | KA20 3NQ | 83259584 | 2 | PLT | 1144 | 79.31 | 4 | AM DELIVERY HAZARD | AM | customer 1 | WF5
1234545 | 2011-03-01 00:00:00 | consignee 2 | NN3 6XJ | 83259650 | 2 | PLT | 220 | 24.56 | 3 | HAZARD | ND | customer 2 | WF5
1234545 | 2011-03-01 00:00:00 | consignee 3 | SN10 3EW | 83261797 | 5 | ITM | 3360 | 109.47 | 4 | 2 IBC, 3 PLT | ND | customer 3 | WF5
1234545 | 2011-03-01 00:00:00 | consignee 4 | RG19 4NH | 83259680 | 1 | PLT | 400 | 31.24 | 4 |  | ND | customer 4 | WF5
1234545 | 2011-03-01 00:00:00 | consignee 5 | G71 6PQ | 83261959 | 4 | PLT | 1670 | 68.92 | 4 |  | ND | customer 5 | WF5
1234545 | 2011-03-01 00:00:00 | consignee 6 | HR8 2DJ | 83259726 | 7 | ITM | 6090 | 190.98 | 4 | 6 TOTE, 1 PLT HAZARD | ND | customer 6 | WF5
1234545 | 2011-03-01 00:00:00 | consignee 7 | LN9 6NG | 83260255 | 1 | PLT | 400 | 25.82 | 3 | HAZARD | ND | customer 7 | WF5
1234545 | 2011-03-01 00:00:00 | consignee 8 | WR3 8ZL | 83259566 | 1 | PLT | 110 | 19.65 | 3 | HAZARD | ND | customer 8 | OL11
1234545 | 2011-03-01 00:00:00 | consignee 9 | BS20 9DJ | 83263472 | 1 | IBC | 1000 | 68.92 | 4 |  | ND | customer 9 | OL11
1234545 | 2011-03-01 00:00:00 | consignee 10 | SA7 9BB | 83262993 | 2 | PLT | 924 | 88.66 | 4 | DEL BY 10AM HAZARD | 10 | customer 10 | OL11
Spreadsheet: 83812d1283857529-split-text-use-in-vlookup-and-concatenate-results-book1
Sheet: ValueAsset

List of data | Asset 1 | Asset 2 | Asset 3 | Asset 4 | Asset 5 | Asset 6 | Asset 7 | Asset 8 | Asset 9 | Asset 10 | Asset 11
Value 1 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Y
Value 2 |  | Y |  |  |  |  | Y |  | Y |  |  |  |  |  |  |  | N
Value 3 |  |  |  | Y
Value 4 |  | Y
Value 5
Value 6 |  |  |  | Y |  |  |  |  | Y
Value 7 | Y |  |  |  |  |  |  |  |  |  | Y
Value 8 |  |  |  |  |  | Y
Value 9 | Y |  | Y
Value 10 |  |  |  |  |  |  | Y |  | Y |  | Y
Value 11
Value 12
Value 13 |  |  | Y
Value 14
Value 15 |  |  |  |  |  |  |  | Y
Value 16
Spreadsheet: 877462d1724292698-multi-selection-from-range-sample-sheet-1-
Sheet: Sheet1

Choose Product | Choose Accessories |  |  | Accessories selected
A |  | False
 | 2 | False
 | 3 | False
 |  | False
 |  | False
 |  | False
 |  | False
 |  | False
 |  | False
 |  | False
 |  | False
 |  | False
Spreadsheet: 34874d1232293107-generate-stmt-based-on-tables-vaules-display
Sheet: Sheet1

 |  |  | London | Beijing | Toyko | US | Total
 | Correct |  | 0 | 131218 | 2030 | 0 | 133248
 |  |  | Internal Transfers
 | Holdings |  | 2030 | 131218 |  | 0 | 133248
 | Total In / Out |  | 2030 | 0 | 0 | 0
 |  |  | This blank row is necessary
London
Beijing
Toyko | 2030 |  | 2030
US
 |  |  | External Transfers
 | Holdings |  | 0 | 130231 | 3017 | 0 | 133248
 | Total In / Out |  | 0 | 0 | 987 | 0
 |  |  | This blank row is necessary
London
Beijing | 987 |  |  |  | 987
Toyko
US
Internal Transfer
From London to Toyko : 2030 units
External Transfer
From Toyko to Beijing : 987 units
Spreadsheet: 860741d1708723240-trying-to-combine-info-in-two-different-files-that-each-have-different-info-i-need-sample-file-2-
Sheet: Combined File

Student_Number | Last_Name | First_Name | Middle_Name | Grade | Gender | Student_Email | F2G1_name | F2G1_relationship | F2G1_phone | F2G1_email | F2G1_address | Serial Number | Equipment ID | Computer Name | Last Action Date | Status
123456 | Smith | Sue | S | 9 | F | [EMAIL] | [NAME] | Father | (473) 358-2847 | [EMAIL] | 12345 N Rebel Dr, City, State 54321
135790 | [NAME] | [NAME] | B | 10 | M | [EMAIL] | [NAME] | Mother | (475) 479-3865 | [EMAIL] | 2345 SW Destiny Cir, City, State 54321
246801 | Jones | [NAME] | J | 11 | M | [EMAIL] | Julia Jones | Mother | (348) 475-3284 | [EMAIL] | 3456 Lake Ave, City, State 54321
121314 | [NAME] | [NAME] | J | 10 | F | [EMAIL] | [NAME] | Father | (248) 578-7568 | [EMAIL] | 765 Power St, City, State, 54321
151718 | White | Wally | W | 12 | M | [EMAIL] | [NAME] | Mother | (887) 687-3547 | [EMAIL] | 55 N Middle Ter, City, State 54321
579544 | Wayne | [NAME] | G | 12 | M | [EMAIL] | [NAME] | Mother | (234)474-2877 | [EMAIL] | 74 [NAME], City, State 54321
123575 | Kent | [NAME] | U | 12 | M | [EMAIL] | [NAME] | Mother | (769) 484-4359 | [EMAIL] | 9756 [NAME], City, State 54321
975684 | [NAME] | [NAME] | E | 10 | M | [EMAIL] | [NAME] | Mother | (375) 574-2184 | [EMAIL] | 2357 New York St, City, State 54321
136547 | Rogers | [NAME] | W | 9 | M | [EMAIL] | [NAME] | Mother | (583) 584-1739 | [EMAIL] | 213 Brooklyn Ave, City, State 54321
156975 | Munroe | Ororo | M | 9 | F | [EMAIL] | [NAME] | Mother | (648) 894-6885 | [EMAIL] | 8756 [NAME], City, State, 54321
 |  |  |  |  |  |  |  |  |  |  |  | G754J39 | 1234567890 | [NAME] 21 | 2024-02-23 00:00:00 | Checked Out
 |  |  |  |  |  |  |  |  |  |  |  | G84K69 | 2345678901 | [NAME] 21 | 2020-01-02 00:00:00 | Checked Out
 |  |  |  |  |  |  |  |  |  |  |  | JL58SJ | 3456789012 | [NAME] 21 | 2023-05-04 00:00:00 | Checked Out
 |  |  |  |  |  |  |  |  |  |  |  | P6K38S | 4567890123 | [NAME] 21 | 2023-05-04 00:00:00 | Checked Out
 |  |  |  |  |  |  |  |  |  |  |  | KJ7J8R | 5678901234 | [NAME] 21 | 2010-09-01 00:00:00 | Checked Out
 |  |  |  |  |  |  |  |  |  |  |  | [NAME] | 6789012345 | [NAME] 21 | 2024-02-23 00:00:00 | Checked Out
 |  |  |  |  |  |  |  |  |  |  |  | 37FDRJ | 7890123456 | [NAME] 21 | 2020-01-02 00:00:00 | Checked Out
 |  |  |  |  |  |  |  |  |  |  |  | 86K2H | 8901234567 | [NAME] 21 | 2023-05-04 00:00:00 | Checked Out
 |  |  |  |  |  |  |  |  |  |  |  | 8LHJR | 9012345678 | [NAME] 21 | 2023-05-04 00:00:00 | Checked Out
 |  |  |  |  |  |  |  |  |  |  |  | NM74I | 9234567807 | [NAME] 21 | 2010-09-01 00:00:00 | Checked Out
Spreadsheet: 0c1f4102-6b35-44f4-852b-428f6e0a9765
Sheet: CSRE670SAL

CLASS SIZE REDUCTION - E-670 SALARY
 | POS | POS | $ | POS | $ | POS | $
AT-RISK KINDERGARTEN:
# POSITIONS/SALARIES
SALARY ADJUSTMENT
AVG STARTING SALARY
1ST GRADE @ 16 TO 1
# PUPILS
# POSITIONS @ 25.5
# POSITIONS @ 16.0
# REQUIRED
NEW FY POSITIONS/SALARIES
TOTAL POSITIONS/SALARIES
2ND GRADE @ 16 TO 1
# PUPILS
# POSITIONS @ 25.7
# POSITIONS @ 16.0
# REQUIRED
NEW FY POSITIONS/SALARIES
TOTAL POSITIONS/SALARIES
3RD GRADE @ 19 TO 1
# PUPILS
# POSITIONS @ 26.9
# POSITIONS @ 19.0
# REQUIRED
NEW FY POSITIONS/SALARIES
TOTAL POSITIONS/SALARIES
TOTAL POSITIONS AND SALARIES
PERS Rate Change (23.75%-21.5%*.50)
TOTAL SALARIES LESS PERS RATE CHANGE
FRINGE BENEFITS
[NAME]
SIIS
UNEMP INS
MEDICARE
MEDICAL INS
OTHER
 | TOTAL FRINGE AND SALARIES
BENEFIT/SALARY RATIO
 |  |  | NET |  |  | NET
SUMMARY | M300 | E670 | DIFF | M300 | E670 | DIFF
SALARIES
[NAME]
WORKERS COMP
UNEMP INS
MEDICARE
MEDICAL INS
OTHER
Spreadsheet: 676549d1588864476-who-supplies-what-fruits
Sheet: Sheet1

Supplier | Product1 | Product2 | Product3 | Product4 | Product5
[NAME]'s Fruit | Apples | Bananas | Strawberries | Blackberries
[NAME]'s produce | Bananas | Apples | Blackberries | Strawberries | Pineapples
[NAME]'s food | Strawberries | Blackberries | Apples | Pineapples
Eva's berries | Strawberries | Blackberries
[NAME]'s goodies | Pineapples | Apples | Bananas
 | Apples | Bananas | Strawberries | Blackberries | Pineapples
Spreadsheet: 864799d1711948868-from-static-to-dynamic-cell-reference-via-indirect-function-raw-materials-record
Sheet: TEG

Raw Material |  | TEG
Date | Description | Batch Processed Quantity |  | Quantity Stored ([NAME]'s) | Quantity Issued ([NAME]'s) | Total Quantity Remaining ([NAME]'s) | Bilty or Batch (Description)
 |  | Qty | [NAME]'s
Column1 | Column2 | Column3 | Column4 | Column5 | Column6 | Column7 | Column8
2023-09-30 00:00:00 |  |  |  |  |  | 77
Total
Spreadsheet: 485861d1477117179-find-trends-in-employee-data-example
Sheet: page 3

Tur | Mandag | Tirsdag | Onsdag | Torsdag | Fredag | Lørdag | Søndag
5 | 23:35     8:23 |  |  |  | 14:35     0:05 | 21:35     8:08 | 21:35     6:00
 |  |  | 6:00     15:00 | 6:12     16:38 | 6:25     15:49
 |  | 22:17     6:34 |  |  | 7:37     14:56 | 7:31     23:24 | 13:12    22:38
 | 13:07    22:27 | 13:22    22:22 | 14:00    23:00 | 14:00    22:24
 | 7:37     14:56 | 7:55     16:51 | 5:25     15:12 |  |  | 7:12     16:38 | 7:25     17:29
 | 14:20    22:39 |  | 6:00     15:30 | 14:52    23:40
Tur | Mandag | Tirsdag | Onsdag | Torsdag | Fredag | Lørdag | Søndag
6 |  | 21:35     6:00 | 23:35     8:23 |  |  | 7:22     14:44 | 6:00     16:19
 | 6:09     12:01 | 6:28     15:33 | 5:38     12:02 | 9:06     20:38
 |  |  | 7:00     16:00 | 6:00     15:00 | 9:06     20:38 | 15:52    22:54 | 22:02     8:23
 | 22:02     6:58 |  |  | 7:12     15:39 | 5:49     13:22
 |  |  | 14:00    24:00 | 14:35     0:05 | 16:17     1:05 |  | 7:31     21:24
 |  | 5:38     12:02 | 7:37     14:56 | 6:27     14:24 | 6:00     15:00
Spreadsheet: 268254d1380532735-how-to-sum-amounts-with-multiple-criteria-rbarnard
Sheet: Sheet1

Id | Name | Amount |  | Criteria1 | Criteria2 | Criteria3 | Sum
1 | LP1 | 100 |  | 1 | LP1 | LP4 | 400
1 | [NAME] | 200 |  | 2 | [NAME] | LP3 | 100
3 | LP4 | 400 |  | 3 | [NAME] | LP3 | 100
3 | [NAME] | 100 |  | 4 | LP1 | LP4 | 300
4 | LP1 | 300
1 | LP4 | 300
2 | LP4 | 500
1 | LP3 | 200
2 | [NAME] | 100
3 | LP1 | 400
Spreadsheet: 683770d1592932401-reconciliation-reconciliation
Sheet: Company

 |  |  | DATE | 0 | VALUES | 0 | FORMULA I USE
 |  |  | 2018-12-31 00:00:00 | 0 | 0 | 0
 |  |  | 2019-01-01 00:00:00 | 0 | 7223.83 | 0
 |  |  | 2019-01-01 00:00:00 | 0 | 6873176.15 | 0
 | 4327 | CETROGAR SA | 2019-01-03 00:00:00 | 0 | 122068 | 0
 | 305 | NATURA COSMETICOS S.A. | 2019-01-04 00:00:00 | 0 | 0 | 1071.71
 | 52 | AEROPUERTOS | 2019-01-04 00:00:00 | 0 | 686 | 0
 | 305 | NATURA COSMETICOS S.A. | 2019-01-04 00:00:00 | 0 | 1071.71 | 0
 | 247 | CENTRAL PUERTO S.A. | 2019-01-04 00:00:00 | 0 | 934.38 | 0
 | 4327 | CETROGAR SA | 2019-01-04 00:00:00 | 0 | 0 | 122068
 | 4211 | HABITAT ECOLOGICO S.A. | 2019-01-07 00:00:00 | 0 | 2595.67 | 0
 | 4322 | MARVAL & O'FARRELL | 2019-01-09 00:00:00 | 0 | 65965.78 | 0
 | 4396 | AXXON CONSULTINGSSS | 2019-01-10 00:00:00 | 0 | 35381.44 | 0
 | 4367 | PPG INDUSTRIES | 2019-01-11 00:00:00 | 0 | 446.61 | 0
 | 4200 | [NAME] | 2019-01-11 00:00:00 | 0 | 554.05 | 0
Spreadsheet: darrell_schoolcraft__7307__imball0201
Sheet: SWGasTrans

 | SW Gas Transmission Co - contr27380
 | POI 78003 - TW/SGTC Mojave Del
Day | Measured | Scheduled
1 | -13559 | -14000
2 | -13675 | -14000
3 | -13732 | -14000
4 | -13318 | -14000
5 | -14017 | -14000
6 | -13620 | -14000
7 | -13282 | -14000
8 | -13676 | -14000
9 | -13585 | -14000
10 | -13644 | -14000
11 | -13501 | -14000
12 | -15295 | -14000
13 | -14142 | -14000
14 | -14021 | -14000
15 | -14016 | -14000
16 | -12589 | -14000
17 | -13832 | -14000
18 | -25911 | -25928
19 | -14237 | -14000
20 | -13946 | -14000
21
22
23
24
25
26
27
28
29
30
31
2001-12-31 00:00:00 |  |  | -15514.53
2002-01-20 00:00:00
CBS Volume
 |  |  | 5596
Spreadsheet: 220278d1363112306-sumif-sum-one-column-if-values-in-another-column-match-236-sumif
Sheet: Sheet2

Location code | Task | Name
IL008 | 000 | [NAME]
IL007 | 001 | [NAME]
IL006 | 002 | [NAME]
IL005 | 003 | [NAME]
IL004 | 004 | [NAME]
IL004 | 005 | [NAME]
IL003 | 006 | [NAME]
IL002 | 007 | [NAME]
IL002 | 008 | [NAME]
IL001 | 009 | [NAME]
IL001 | 010 | [NAME]
Spreadsheet: 261081d8-18c1-4cb0-876c-6f6a7d97677d
Sheet: Sheet1

STATE OF NEW HAMPSHIRE | Unnamed: 1 | Unnamed: 2 | Unnamed: 3
ELECTIONS DIVISION
STATE GENERAL ELECTION - November 4, 2008
COOS COUNTY/BALLOTS CAST
November 4,2008 | Regular | Absentee | Total
Atkinson & Gilmanton Academy Grant | 0 | 0 | 0
Bean's Grant | 0 | 0 | 0
Bean's Purchase | 0 | 0 | 0
[NAME] | 982 | 83 | 1065
[NAME] | 996 | 111 | 1107
[NAME] 3 | 1233 | 138 | 1371
[NAME] 4 | 974 | 56 | 1030
Cambridge | 3 | 0 | 3
Carroll | 422 | 69 | 491
[NAME]'s Purchase | 0 | 0 | 0
[NAME] | 131 | 33 | 164
Colebrook | 972 | 87 | 1059
Columbia | 312 | 37 | 349
Crawford's Purchase | 0 | 0 | 0
Cutt's Grant | 0 | 0 | 0
[NAME] | 474 | 59 | 533
Dix's Grant | 0 | 0 | 0
Dixville | 19 | 2 | 21
Dummer | 168 | 18 | 186
Errol | 176 | 15 | 191
Erving's Location | 0 | 0 | 0
[NAME] | 1463 | 165 | 1628
Green's Grant | 1 | 0 | 1
Hadley's Purchase | 0 | 0 | 0
[NAME] | 570 | 58 | 628
Kilkenny | 0 | 0 | 0
Lancaster | 1487 | 215 | 1702
Low & Burbank's Grant | 0 | 0 | 0
Martin's Location | 0 | 0 | 0
Milan | 692 | 84 | 776
[NAME] | 6 | 10 | 16
Northumberland | 962 | 128 | 1090
[NAME] | 0 | 0 | 0
[NAME]'s Grant | 3 | 2 | 5
Pittsburg | 487 | 67 | 554
Randolph | 176 | 75 | 251
Sargents Purchase | 0 | 0 | 0
Second College Grant | 0 | 0 | 0
Shelburne | 239 | 40 | 279
[NAME] | 265 | 39 | 304
Stewartstown | 357 | 60 | 417
[NAME] | 289 | 36 | 325
Success | 0 | 0 | 0
Thompson & Meserve's Pur. | 0 | 0 | 0
Wentworth's Location | 20 | 3 | 23
[NAME] | 1015 | 127 | 1142
Totals | 14894 | 1817 | 16711
Spreadsheet: a389502b-66d3-4979-aaac-f848c311e023
Sheet: 6-8 multiple 

MENU - 6-8 Multiple entrees
Requirements |  | Monday |  | Tuesday |  | Wednesday |  | Thursday |  | Friday |  | Weekly Total MET Yes/No |  |  | Decimal Equivalents
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1/8 Cup | 0.125
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1/4 Cup | 0.25
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3/8 Cup | 0.375
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1/3 Cup | 0.333
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1/2 Cup | 0.5
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5/8 Cup | 0.625
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2/3 Cup | 0.666
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3/4 Cup | 0.75
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7/8 Cup | 0.875
 | Low |  | Oz Eq |  | Oz Eq |  | Oz Eq |  | Oz Eq |  | Oz Eq
Mt/MA (1 oz eq per day)  (9-10 oz eq per week) |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1 Cup | 1
 | High |  | Oz Eq |  | Oz Eq |  | Oz Eq |  | Oz Eq |  | Oz Eq
 | Low |  | Oz Eq |  | Oz Eq |  | Oz Eq |  | Oz Eq |  | Oz Eq
Grains(1 oz eq day)
(8-10 oz eq per week) (10-12 oz eq per week)
 | High |  | Oz Eq |  | Oz Eq |  | Oz Eq |  | Oz Eq |  | Oz Eq
Vegetables (3/4 Cup per day)      (3 3/4 Cup per week) |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1 cup leafy  greens  = 1/2 cup vegetable
[NAME]  (1/2 Cup per week)
 |  |  | Cup |  | Cup |  | Cup |  | Cup |  | Cup |  |  |  | 1/4 cup dried fruit  = 1/2 cup fruit
Red/Orange  (3/4 Cup per week)
 |  |  | Cup |  | Cup |  | Cup |  | Cup |  | Cup
Beans/Peas (Legumes) (1/2 Cup per week)
 |  |  | Cup |  | Cup |  | Cup |  | Cup |  | Cup
Starchy (1/2 Cup per week)
 |  |  | Cup |  | Cup |  | Cup |  | Cup |  | Cup
Other  (1/2 per week)
 |  |  | Cup |  | Cup |  | Cup |  | Cup |  | Cup
Daily total
Additional Vegetable to reach [NAME] (1  Cup per week)
Fruits (1/2 Cup per day) (2.5 cups per week)
 |  |  | Cup |  | Cup |  | Cup |  | Cup |  | Cup
[NAME] (1 Cup per day)  (5 a week) |  | Skim or 1 % |  | Skim or 1 % |  | Skim or 1 % |  | Skim or 1 % |  | Skim or 1 %
 |  | 1 | Cup | 1 | Cup | 1 | Cup | 1 | Cup | 1 | Cup
Spreadsheet: 769320d1645466687-pull-data-based-on-date-and-name-2-variables-index-match-or-vlookup-example-tip-tracker
Sheet: Data Entry

Date | Totals | [NAME]-PAID | [NAME]
Totals/Mo
2022-03-01 00:00:00
2022-03-02 00:00:00
2022-03-03 00:00:00 |  | 10 | 40
2022-03-04 00:00:00
2022-03-05 00:00:00
2022-03-06 00:00:00
2022-03-07 00:00:00 |  | 14 | 50
2022-03-08 00:00:00
2022-03-09 00:00:00
2022-03-10 00:00:00
2022-03-11 00:00:00
2022-03-12 00:00:00
2022-03-13 00:00:00
2022-03-14 00:00:00
2022-03-15 00:00:00
2022-03-16 00:00:00
2022-03-17 00:00:00
2022-03-18 00:00:00
2022-03-19 00:00:00
2022-03-20 00:00:00
2022-03-21 00:00:00
2022-03-22 00:00:00
2022-03-23 00:00:00
2022-03-24 00:00:00
2022-03-25 00:00:00
2022-03-26 00:00:00
2022-03-27 00:00:00
2022-03-28 00:00:00
2022-03-29 00:00:00
2022-03-30 00:00:00
2022-03-31 00:00:00
Spreadsheet: 2047a074-374d-4a16-916f-3e82e3d8267e
Sheet: At A Glance

[NAME]: A Decade in Review Target Breakdown by Focus Area Pennsylvania
 | Number of objectives that:
Focus Area | Met or exceeded target | Moved toward target | Exhibited no change | Moved away from target | Total number of objectives*
1. Access to Quality Health Services | 0 | 2 | 1 | 2 | 5
2. Arthritis, Osteoporosis and Chronic Back Conditions | 2 | 2 | 0 | 3 | 7
3. Cancer | 5 | 7 | 0 | 2 | 14
4. Chronic Kidney Disease | 0 | 1 | 0 | 2 | 3
5. Diabetes | 2 | 2 | 0 | 3 | 7
6. Disability and Secondary Conditions | 0 | 0 | 1 | 0 | 1
7. Educational and Community-Based Programs | 1 | 0 | 0 | 1 | 2
8. Environmental Health | 3 | 0 | 0 | 0 | 3
9. Family Planning | 1 | 0 | 0 | 0 | 1
10. Food Safety | 1 | 2 | 0 | 2 | 5
11. Health Communication | 0 | 1 | 0 | 0 | 1
12. Heart Disease and Stroke | 5 | 1 | 0 | 1 | 7
13. HIV | 4 | 2 | 0 | 1 | 7
14. Immunization and Infectious Diseases | 14 | 6 | 1 | 1 | 22
15. Injury and Violence Prevention | 5 | 10 | 2 | 5 | 22
16. Maternal, Infant and Child Health | 4 | 13 | 1 | 12 | 30
18. Mental Health and Mental Disorders | 0 | 0 | 1 | 0 | 1
19. Nutrition and Overweight | 0 | 2 | 0 | 2 | 4
20. Occupational Safety and Health | 2 | 1 | 0 | 2 | 5
21. Oral Health | 3 | 2 | 1 | 1 | 7
22. Physical Activity and Fitness | 1 | 1 | 0 | 1 | 3
23. Public Health Infrastructure | 3 | 1 | 0 | 0 | 4
24. [NAME] | 1 | 4 | 0 | 2 | 7
25. [NAME] | 0 | 2 | 0 | 3 | 5
26. Substance Abuse | 3 | 12 | 2 | 2 | 19
27. Tobacco Use | 2 | 11 | 2 | 3 | 18
28. Vision and Hearing | 1 | 0 | 0 | 0 | 1
Total | 63 (29.9%) | 85 (40.3%) | 12 (5.7%) | 51 (24.2%) | 211
* Limited to HP2010 objectives for which Pennsylvania data were available.
Spreadsheet: 711723d1609864289-daily-sales-spreadsheet-month-target
Sheet: Sales

Month | 2021-01-01 00:00:00 | Target | 62500
Number of days
DATE | Daily Target | Daily Sales | Month To Date
 |  | 2491
 |  | 2274
 |  | 2400
Spreadsheet: 330558d1404800922-index-match-ascend-between-2-sheets-index-match-ascend
Sheet: DATA

 | 1 | 6.83004
 | 2 | 4.71005
 | 3 | 7.08006
 | 4 | 5.71007
 | 5 | 1
 | 6 | 6.56009
 | 8 | -19.0499
 | 9 | 6.00011
 | 10 | 4.48012
 | 11 | 8.720130000000001
 | 12 | 5.10014
 | 13 | 0.00015
Spreadsheet: 118054d1313414414-cell-with-formula-will-not-show-thousand-separators-and-decimals-test-drop-down-currency1
Sheet: Sheet1 (2)

 |  | EUR | USD
 | USD | 0.7009 | 1
 | EUR | 1 | 1.3247
 | CAD | 0.7038 | 1.0063
Sales Currency: | [NAME] | 0.0564 | 0.0804
USD
Currency Symbol:
Product | Number | Currency | Ex-change rate | Price | Qty | Sales
Lamp | 111 | USD |  | 22 | 7779
Bulb | 222 | EUR |  | 3 | 20
Shelve | 333 | USD |  | 50 | 10
Spreadsheet: 103325d1301065489-formula-to-linking-worksheets-example
Sheet: Secondary

Company Name | First Name | Last Name | [NAME] | Phone | Zip Code | Site | Category
123 | [NAME] | A |  | [PHONE] | 00014 | YBC | s
abc | Rita | M |  | [PHONE] | 00084 | YBC | s
Xyz | [NAME] | M |  | [PHONE] | 00019 | BCC | s
943 | [NAME] | V |  | [PHONE] | 00020 | YBC | s
TMI | [NAME] | C |  | [PHONE] | 00010 | YBC | s
69 | [NAME] | M |  | [PHONE] | 00004 | YBC | s
716 | Nabil | G |  | [PHONE] | 00001 | MNC | s
Spreadsheet: 74597bb9-239d-4d36-893c-4877a23894a7
Sheet: New  Table 17

Table 17
Weekly Port Region Grain Ocean Vessel Activity (number of vessels)
 |  |  |  | Pacific | Vancouver
 | Gulf |  |  | Northwest | B.C.
 |  | Loaded | Due next
Date | In port | 7-days | 10-days | In port | In port
2013 range | (16..60) | (20..56) | (31..81) | (0..24) | n/a
2013 avg. | 32 | 33 | 51 | 12 | n/a
Source:  Transportation & Marketing Programs/AMS/USDA
Spreadsheet: 125592d1319118795-excel-2007-combining-the-information-of-several-rows-into-one-___moli
Sheet: Data_New

1 | 1 | a | 97 |  |  | 1 | 2 | 3 | 4 | 5
1 | 2 | b | 98 |  | 1 | a | b | c | d | -
1 | 3 | c | 99 |  | 2 | e | a | f | - | -
1 | 4 | d | 100 |  | 3 | c | b | c | c | f
2 | 1 | e | 101
2 | 3 | f | 102
2 | 2 | a | 97
3 | 1 | c | 99
3 | 5 | f | 102
3 | 3 | c | 99
3 | 2 | b | 98
3 | 4 | c | 99
Spreadsheet: 136397d1326606767-excel-2007-3-way-lookup-sample
Sheet: MBR

DATE | 1 |  |  |  |  |  |  | 2 |  |  |  |  |  |  | 3
 | FEED - |  | CP - |  | BW- |  |  | FEED - |  | CP - |  | BW- |  |  | FEED - |  | CP - |  | BW-
SKID | I | II | III | IV | V |  |  | I | II | III | IV | V |  |  | I | II | III | IV | V
[NAME]. | 1 | 2 | 3 | 4 | 5 |  |  | 1 | 2
Permeate, m3/day
TMP, [NAME]/cm2
B/W Pressure, kg/cm2
Flux, [NAME]
Set point
Feed Pressure, kg/cm2
Permeate Pressure, kg/cm2
DATE | 4 |  |  |  |  |  |  | 5 |  |  |  |  |  |  | 6
 | FEED - |  | CP - |  | BW- |  |  | FEED - |  | CP - |  | BW- |  |  | FEED - |  | CP - |  | BW-
SKID | I | II | III | IV | V |  |  | I | II | III | IV | V |  |  | I | II | III | IV | V
[NAME].
Permeate, m3/day
TMP, [NAME]/cm2
B/W Pressure, kg/cm2
Flux, [NAME]
Set point
Feed Pressure, kg/cm2
Permeate Pressure, kg/cm2