tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 768623d1645047426-need-formula-to-count-cells-with-text-but-omits-duplicates-funding-log-excel-help-1-
Sheet: 2022 TOTALS

FUNDING TOTALS - 2022
MONTH | TOTAL BOOKED | TOTAL FUNDED
2022-01-01 00:00:00 | 52
2022-02-01 00:00:00 | 19
2022-03-01 00:00:00
2022-04-01 00:00:00
2022-05-01 00:00:00
2022-06-01 00:00:00
2022-07-01 00:00:00
2022-08-01 00:00:00
2022-09-01 00:00:00
2022-10-01 00:00:00
2022-11-01 00:00:00
2022-12-01 00:00:00
Spreadsheet: 210223d1359401813-show-a-dropdown-when-another-field-is-populated-example
Sheet: Class-Attr realtionship

Asset Classification Abbreviation | Attribute
SS | Year Built
SS | Life Expectancy
SS | Primary Rating
SS | Utility Provider
SS | Snubber
[NAME] | Type
[NAME] | Rating
[NAME] | Phases
[NAME] | Cycles
[NAME] | Frequency
DC Traction Swgr | Type
DC Traction Swgr | Rating
AC HV Swgr | Type
AC HV Swgr | Rating
Spreadsheet: 888754d1739326457-large-function-with-decimal-rank-excelbook
Sheet: Sheet1

Number | Rank
-0.3047137199846364 | 1
-0.1313868181455273 | 3.2
-0.05510058734517276 | 3.4
-0.3063696227876443 | 4.8
0.2012757216321868 | 5
0.1098484219691833 | 6.8
0.1450446558007061 | 7.4
0.1470174220918988 | 8
0.8380944489963759 | 8.8
-0.1305008063214504 | 10.8
-0.02183736268406421 | 11
0.2310485174211004 | 11.4
-0.3649206624555139 | 14
0.1085939162821343 | 14.2
-0.1890898321387233 | 16.4
-0.1320951051574205 | 19.6
-0.1602222977759738 | 19.8
-0.3050091822810385 | 20.2
-0.2200500753621744 | 21.2
0.2115809965043504 | 21.4
-0.08294968760276225 | 22
0.2853626362341994 | 23.6
0.2519570091327093 | 25.4
-0.01411642921642478 | 26.6
0.04239409696612086 | 29.2
-0.2286505456030431 | 29.4
-0.1835529484844541 | 30
-0.1989023156967862 | 30.6
-0.1283932365685513 | 35.8
0.0462155420126938 | 36.6
-0.5379975333557574 | 37
-0.03098515664987473 | 38.4
0.0277963032671701 | 38.8
0.05888836543260552 | 39
0.06000738572432621 | 40.4
0.125328683355858 | 41.2
-0.03211852452852106 | 43
-0.3644606212057421 | 43.8
-0.1114544928824626 | 45
-0.3426275385924799 | 46
0.1430701721947897 | 47
-0.01703902189049468 | 47.2
0.1378105363215982 | 47.4
-0.1786773882125786 | 48
-0.2919458549573116 | 50
-0.2964523708213515 | 50.6
-0.1366229693255923 | 51.4
-0.2122719866155499 | 53.6
0.3150759835635127 | 54.6
Spreadsheet: 679976d1590712597-if-function-counting-occurences-sumproduct-and-and-or
Sheet: Sheet1

 |  |  | Value Per Pip/Point | Status | Points+/- | Mics Adjustment | Profit +/- | Entry Price | Stop Price | Closing Price | Long/Short | Sector
 |  |  | 0.28 | Open |  |  |  | 1000 | 500 |  |  | Financials
 |  |  | 0.23 | Trade Open - Risk-Free |  |  |  | 23965 | 22936 |  |  | Financials
 |  | Number of these sectors
 | N/A
 | Energy
 | Financials
 | Healthcare
 | Utilities
 | Industrials
 | Real Estate
 | Materials
 | Information Technology
 | Consumer Staples
 | Consumer Discretionary
 | Communication Services
Spreadsheet: 713013d1610527653-looking-for-support-to-display-corresponding-values-based-on-a-specific-cell-value-worksheet-gk2
Sheet: Sheet6

 |  |  |  |  |  |  |  |  |  |  |  | Fruits | Furnitures | Miscellaneous
Sl # | Date | Item | Amount |  |  |  |  |  |  |  |  | Apple | Chair | Lotion
1 | 2020-07-01 00:00:00 | Apple | 100 |  |  |  |  |  |  |  |  | [NAME] | Table | Room Freshner
2 | 2020-07-05 00:00:00 | Guava | 60 |  |  |  |  |  |  |  |  | Guava | Bench | Tissues
3 | 2020-07-05 00:00:00 | Orange | 100 |  |  |  |  |  |  |  |  | Pineapple | Board | Battery
4 | 2020-07-06 00:00:00 | Pineapple | 240 |  |  |  |  |  |  |  |  | Orange | Cupboard | Broom
5 | 2020-07-11 00:00:00 | Pineapple | 240
6 | 2020-07-11 00:00:00 | Orange | 150
7 | 2020-07-11 00:00:00 | Apple | 160
8 | 2020-07-12 00:00:00 | Chair | 1200
9 | 2020-07-12 00:00:00 | Table | 3200
10 | 2020-07-14 00:00:00 | Bench | 1800
11 | 2020-07-14 00:00:00 | Board | 2000
12 | 2020-07-15 00:00:00 | Cupboard | 6500
13 | 2020-07-15 00:00:00 | Lotion | 45
14 | 2020-07-15 00:00:00 | Room Freshner | 35
15 | 2020-07-15 00:00:00 | Tissues | 160
16 | 2020-07-16 00:00:00 | Battery | 120
17 | 2020-07-16 00:00:00 | Broom | 90
Spreadsheet: 758181d1638724216-vlookup-across-multiple-sheets-kod195-129-commercial-road
Sheet: Labour

 | [NAME]
 | Description | Unit | Rate | Qty | Extension
 | Total
 | Construction Cost
 | Description | Unit | Rate | Qty | Extension | Paid | Outstanding
 | Total
Spreadsheet: benjamin_rogers__1245__test model from Erin
Sheet: 144A IDC

Draw Schedule & Capital Budget
Construction Term
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Check
Date
Financing Months
 |  | Total
Net Interest During Consturction
EQUITY & DEBT FUNDING:
Debt
Equity
TOTAL DRAW DOWN
INITIAL TOTAL DRAW DOWN
INITIAL EQUITY & DEBT FUNDING:
Debt
Equity
Total
INTEREST DURING CONSTRUCTION - Page 2
CONSTRUCTION FINANCING TERMS:
Commitment ($000s)
Draw Date
Rate
Spread
Swap
Other Fees
Draw
Fund Monthly Commitment
Aggregate fund consumption
Ending Cash Balance
Previous Months Interest Accrued
Aggregate [NAME]
Interest Accrued
Total Other Fee
Monthly Interest income
Monthly Interest
Net Monthly interest expense/(income)
Total Interest During Construction
Total Other Fees
Total Capital Costs
Cumulative Capital Costs
Equity by Year
Total Equity
If All Equity
Spreadsheet: 683027d1592444654-combining-3-array-formulas-to-one-collating-from-multiple-sheets-based-on-conditions4
Sheet: Collections

Name | Phone | Date order Received | [NAME] | Disc £ ea | Balance | Paid | Product | Notes/ Special Reqs | Status | Collection Date | Time | Include
Spreadsheet: 677190d1589229503-conditional-formatting-to-remove-bottom-border-form-cell-when-text-is-entered-genealogical-information-worksheet
Sheet: Husband & Wife Both Living

 |  | Genealogy Information - Family Group Sheet
 |  | Husband & Wife Both Living
1 |  | Husbands First Name
 |  | Husbands Middle Name
 |  | Husbands Last Name
 |  | Husbands Date of Birth
 |  | Husbands Place of Birth
 |  | Husbands Marriage Date
 |  | Husbands Marriage Location
 |  | Husbands Fathers First Name
 |  | Husbands Fathers Middle Name
 |  | Husbands Fathers Last Name
 |  | Husbands Mothers First Name
 |  | Husbands Mothers Middle Name
 |  | Husbands Mothers Last Name
 |  | Wifes First Name
 |  | Wifes Middle Name
 |  | Wifes Last Name
 |  | Wifes Date of Birth
 |  | Wifes Place of Birth
 |  | Wifes Marriage Date
 |  | Wifes Marriage Location
 |  | Wifes Fathers First Name
 |  | Wifes Fathers Middle Name
 |  | Wifes Fathers Last Name
 |  | Wifes Mothers First Name
 |  | Wifes Middle Name
 |  | Wifes Mothers Last Name
Spreadsheet: 147207d1332597672-how-to-use-rank-function-with-two-reference-ranking
Sheet: Ranking

 | Product A | Product B | Product C | Product D | Product E | Product F | Product G
Demand Qty | 100 | 0 | 300 | 0 | 500 | 600 | 0
Unit Price | 12 | 24 | 34 | 45 | 65 | 120 | 120
Demand Value
Temp Row(hide this row if you want)--------->
Current Ranking Output
Required Ranking Output | 4 | 6 | 3 | 5 | 2 | 1 | 1
Spreadsheet: 82034d1282097527-sorting-data-in-groups-example
Sheet: Filtered by Row - FND Column -U

FND | 30518 | ABC | AVF | American Product |  | 20070814 | 112321 | 20070814 | 1123 | 0 |  |  |  |  |  |  |  | 19960501 | CAD | NL |  | V |  | MF |  | M
MTH | 30518 | ABC | AVF | 20100806 | 220203 | 20100731 |  | 6.1442 | 5.97 | 64700000 | 2.6
RR2 | 30518 | ABC | AVF | 20100806 | 220203 | 20100731 |  | 6.1442 | O | 8.3 | 82 | 4 | 1 | O | 28.1 | 87 | 2 | 1 | O | 5.6 | 83 | 7 | 1 | O | -6.6 | 72 | 22 | 2 |  |  |  | 3 |  |  |  |  | 2 |  |  |  |  | 2
RR3 | 30518 | ABC | AVF | 20100806 | 220203 | 20091231 |  | 6.1442 | O | 44.1 | 84 | 2 | 1 | O | -29 | 76 | 49 | 3 | O | -23.5 | 66 | 59 | 4 | O | 6.7 | 55 | 36 | 3 |  |  |  | 2 |  |  |  |  | 1
RR4 | 30518 | ABC | AVF | 20100806 | 220203 | 20100731 |  | 6.1442 | O | 4.3 | 91 | 22 | 1 | O | -3.2 | 91 | 66 | 3 | O | -11.1 | 91 | 87 | 4 | O | -9.3 | 91 | 91 | 4
FND | 30519 | ABC | FMF | Fully Product |  | 20080912 | 135714 | 20080831 | 2359 | 0 |  |  |  |  |  |  |  | 19880222 | CAD | NL | Y | V |  | MF |  | M
MTH | 30519 | ABC | FMF | 20100806 | 220203 | 20100731 |  | 7.3537 | 5.62 | 89000000 | 2.1
RR2 | 30519 | ABC | FMF | 20100806 | 220203 | 20100731 |  | 7.3537 | O | 9.6 | 104 | 11 | 1 | O | 30.2 | 106 | 4 | 1 | O | -3 | 96 | 19 | 1 | O | -8.5 | 88 | 71 | 4 |  | O | 9.3 | 6 | 4 |  | O | 8.9 | 5 | 4 |  | O | 9.3 | 5 | 4
RR3 | 30519 | ABC | FMF | 20100806 | 220203 | 20091231 |  | 7.3537 | O | 27.9 | 103 | 59 | 3 | O | -33.5 | 89 | 40 | 2 | O | -10.6 | 60 | 59 | 4 | O | -0.7 | 22 | 22 | 4 |  | O | 14.7 | 5 | 4 |  | O | 1.1 | 5 | 1
RR4 | 30519 | ABC | FMF | 20100806 | 220203 | 20100731 |  | 7.3537 | O | 2.9 | 107 | 52 | 2 | O | -1.6 | 107 | 50 | 2 | O | -6.3 | 107 | 53 | 2 | O | -5.4 | 107 | 62 | 3
FND | 30520 | ABC | FVF | Product KOOOO |  | 20070814 | 112321 | 20070814 | 1123 | 0 |  |  |  |  |  |  |  | 19890320 | CAD | NL | Y | V |  | MF |  | M
MTH | 30520 | ABC | FVF | 20100806 | 220203 | 20100731 |  | 14.6269 | 7.28 | 506200000 | 2
RR2 | 30520 | ABC | FVF | 20100806 | 220203 | 20100731 |  | 14.6269 | O | 13.1 | 104 | 6 | 1 | O | 27.7 | 106 | 10 | 1 | O | -4 | 96 | 22 | 1 | O | -10.6 | 88 | 77 | 4 |  | O | 13 | 6 | 1 |  | O | 12.5 | 5 | 1 |  | O | 13.3 | 5 | 1
RR3 | 30520 | ABC | FVF | 20100806 | 220203 | 20091231 |  | 14.6269 | O | 48.1 | 103 | 19 | 1 | O | -43.9 | 89 | 73 | 4 | O | -7.9 | 60 | 57 | 4 | O | 19.1 | 22 | 4 | 1 |  | O | 22.9 | 5 | 2 |  | O | -2 | 5 | 2
RR4 | 30520 | ABC | FVF | 20100806 | 220203 | 20100731 |  | 14.6269 | O | 3.9 | 107 | 46 | 2 | O | -3.3 | 107 | 74 | 3 | O | -10.6 | 107 | 106 | 4 | O | -7.4 | 107 | 103 | 4
* only has the Products displayed with  NL Row FND, column U
Spreadsheet: 583561d1532512664-how-to-replicated-an-if-formulan-in-powerquery-accumulating-1
Sheet: Sheet2

Apply Date | Historical Date | Employee | Employee Name | Employee Logon | EE Type | Manager | Pay Rule | Location | Cost Center | [NAME] | CR CCSS [NAME] | CR CCSS Sick Leave Unpaid | CR Leave of Absence Unpaid | Consecutive_days | Excel formula | Check
2018-05-29 00:00:00 |  | x | x | aahrnan | x | x | x | x | x | x | 5.37 |  |  | 1 | 1
2018-06-12 00:00:00 |  | x | x | aahrnan | x | x | x | x | x | x | 3.4 |  |  | 1 | 1
2018-06-13 00:00:00 |  | x | x | aahrnan | x | x | x | x | x | x | 8 |  |  | 2 | 2
2018-06-21 00:00:00 |  | x | x | aahrnan | x | x | x | x | x | x | 5.93 |  |  | 1 | 1
2018-06-22 00:00:00 |  | x | x | aahrnan | x | x | x | x | x | x | 8 |  |  | 2 | 2
2018-06-23 00:00:00 |  | x | x | aahrnan | x | x | x | x | x | x | 8 |  |  | 3 | 3
2018-06-28 00:00:00 |  | x | x | aahrnan | x | x | x | x | x | x | 8 |  |  | 1 | 4
2018-06-29 00:00:00 |  | x | x | aahrnan | x | x | x | x | x | x | 8 |  |  | 2 | 5
2018-06-30 00:00:00 |  | x | x | aahrnan | x | x | x | x | x | x | 8 |  |  | 3 | 6
2018-07-01 00:00:00 |  | x | x | aahrnan | x | x | x | x | x | x | 8 |  |  | 4 | 7
2018-07-02 00:00:00 |  | x | x | aahrnan | x | x | x | x | x | x | 8 |  |  | 5 | 8
2018-07-03 00:00:00 |  | x | x | aahrnan | x | x | x | x | x | x | 8 |  |  | 6 | 9
2018-07-04 00:00:00 |  | x | x | aahrnan | x | x | x | x | x | x | 8 |  |  | 7 | 10
2018-07-05 00:00:00 |  | x | x | aahrnan | x | x | x | x | x | x | 8 |  |  | 8 | 11
2018-07-06 00:00:00 |  | x | x | aahrnan | x | x | x | x | x | x | 8 |  |  | 9 | 12
2018-07-07 00:00:00 |  | x | x | aahrnan | x | x | x | x | x | x | 8 |  |  | 10 | 13
2018-01-16 00:00:00 | 43112 | x | x | aamendez | x | x | x | x | x | x | 8 |  |  | 1 | 1
2018-01-16 00:00:00 | 43111 | x | x | aamendez | x | x | x | x | x | x | 8 |  |  | 1 | 1
2018-06-11 00:00:00 |  | x | x | aamendez | x | x | x | x | x | x | 8 |  |  | 1 | 1
2018-06-12 00:00:00 |  | x | x | aamendez | x | x | x | x | x | x | 8 |  |  | 2 | 2
2018-06-13 00:00:00 |  | x | x | aamendez | x | x | x | x | x | x | 8 |  |  | 3 | 3
Spreadsheet: 48798d1248105016-dcount-times-adding-up-dcount-help
Sheet: Sheet1

 | Store | Sale | Time | Time
 |  |  | >12:59 | <14:00
 |  |  |  |  | Count
Store | Sale | Time |  |  | 3
Store 1 | Sale1 | 13:00:00
Store 2 | Sale2 | 12:15:00
Store 1 | Sale3 | 14:02:00
Store 1 | Sale4 | 13:20:00
Store 1 | Sale5 | 13:05:00
Store 2 | Sale6 | 10:30:00
Store 1 | Sale7 | 14:30:00
Spreadsheet: 762796d1641824282-using-unique-function-inside-of-countifs-function-countif-example
Sheet: Sheet8

# of Credit Code MA
F1
F2
F3
F4
F6
F9
24
3E
3F
Systems
[NAME]
Spreadsheet: bd7eb011-c1d9-47dd-a03c-21f3ac6973d3
Sheet: Sheet1

2014 General Election - UNOFFICIAL RESULTS | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4
State of North Dakota Results
Precincts Reporting: 0/427 - Total Ballots Cast: 0
Downloaded at 10/2/2014 11:28:45 AM
 | [NAME] | [NAME] | [NAME] | write-in  - NON
Representative in Congress | 0 | 0 | 0 | 0
 | [NAME] (Al) Jaeger  - REP | Roland  Riemers  - LIB | April  Fairfield  - DEM | write-in  - NON
Secretary of State | 0 | 0 | 0 | 0
 | [NAME] | [NAME]  - DEM | write-in  - NON
Attorney General | 0 | 0 | 0
 | [NAME] | [NAME] | write-in  - NON
Agriculture Commissioner | 0 | 0 | 0
 | [NAME] | [NAME] | write-in  - NON
Public Service Commissioner | 0 | 0 | 0
 | Tyler  Axness  - DEM | [NAME] | write-in  - NON
Public Service Commissioner [NAME] | 0 | 0 | 0
 | [NAME] | [NAME] | [NAME] | write-in  - NON
Tax Commissioner | 0 | 0 | 0 | 0
 | [NAME] | write-in  - NON
Justice of the Supreme Court | 0 | 0
Results provided by the Office of North Dakota Secretary of State
Spreadsheet: 199893d1355347879-pivot-grouping-other-method-help-please-test
Sheet: pivot

Count of Test Case Description | Column Labels
Row Labels | 0 | 1 | 2 | 22 | 23 | 24 | Grand Total
Case NOT 1.1 | 1 | 3 | 1 | 1 | 5 | 1 | 12
Case NOT 2.1 | 1 | 3 | 1 | 1 | 5 | 1 | 12
Grand Total | 2 | 6 | 2 | 2 | 10 | 2 | 24
Spreadsheet: 875874d1722503336-quote-template-help-paul_t-hole-template-9_57am-365-aligw
Sheet: Sheet1

(COMPLEXITY LEVEL →) |  | LEVEL 1 | LEVEL 2 | LEVEL 3
(BAND DESCRIPTION) | BAND | HOURS | HOURS | HOURS
1 TO 6 HOLES | A | 2.75 | 3 | 3.25
6 TO 12 HOLES | B | 2.25 | 2.5 | 2.75
12 TO 20 HOLES | C | 1.75 | 2 | 2.25
20 TO 30 HOLES | D | 1.25 | 1.5 | 1.75
30 TO 50 HOLES | E | 1 | 1.25 | 1.5
50 TO 100 HOLES | F | 0.75 | 1 | 1.25
HOURLY RATE | £20 PER HOUR
 |  |  |  |  | TOOL NUMBER | NUMBER OF HOLES | COMPLEXITY | TOTAL COST
 |  |  |  |  | ABC1234 | 27 | LEVEL 2 |  | SHOULD BE 27(NO OF HOLES)  x 1.5 (LEVEL FACTOR) x 20 (HOURLY RATE)
 |  |  |  |  | DEF5678 | 5 | LEVEL 3 | 325
 |  |  |  |  | HIJ91011 | 72 | LEVEL 1 | 1080
Spreadsheet: 882876d1731351000-values-to-be-changed-depending-which-year-goes-on-sealpino-yearfilechange-spill-365-aligw
Sheet: Blad1

 |  | Sheet name: Headfile
 |  |  |  | 200 | 300 | 400
 |  | Sheet name: | YEAR 2021 |  |  | I want the values to move one step backwards for each new year that goes on!
 |  |  |  |  |  | Values to be picked up from diffferent sheet depending on which year.
 |  | Value in cell D10 | 100 |  |  | In my case I have made the sheet name be: YEAR 2021
 |  | Sheetname: | YEAR 2022
 |  | Value in cell D10: | 200
 |  | Sheetname: | YEAR 2023
 |  | Value in cell D10 | 300
Spreadsheet: 111137d1307598883-copying-and-separating-out-delimited-fields-sample2
Sheet: SHIPMENTS

ORIGINAL LIST: NEED TO TAKE LINE AND DISPLAY AS FOLLOWING LINES SEPARATING COLUMN D AT ý'S INTO INDIVIDUAL #'S AND COPYING REMAINING COLUMNS
PART X | DEVICE | 2009-02-26 00:00:00 | 34228ý39598ý62038ý41379ý42628
PART Y | DEVICE2 | 2011-03-10 00:00:00 | 31223ý34000
PART Z | [NAME] | 2011-03-11 00:00:00 | 34111
DESIRED LIST
PART X | DEVICE | 2009-02-26 00:00:00 | 34228
PART X | DEVICE | 2009-02-26 00:00:00 | 39598
PART X | DEVICE | 2009-02-26 00:00:00 | 62038
PART X | DEVICE | 2009-02-26 00:00:00 | 41379
PART X | DEVICE | 2009-02-26 00:00:00 | 42628
PART Y | DEVICE2 | 2011-03-10 00:00:00 | 31223
PART Y | DEVICE2 | 2011-03-10 00:00:00 | 34000
PART Z | [NAME] | 2011-03-11 00:00:00 | 34111
Spreadsheet: 124550d1318455106-excel-2007-invoice-data-lookup-order-template-wip
Sheet: FragranceForHer

FragranceForHer
Eau de Parfume | [NAME] | 34 | Eau de Parfume
[NAME] | [NAME] | 34
 | Journey | 36
 | Velocity | 28
 | Thinking of You | 30
 | Exotic Passionfruit | 25 | [NAME]
 | Forever Orchid
 | Simply Cotton
 | Warm Amber
Spreadsheet: 723818d1615906858-adding-cells-that-contain-numbers-and-random-characters-within-the-same-cell-excel-forum-sheet
Sheet: Sheet1

 | Monday |  | Tuesday |  | Wednesday |  | Thursday |  | Friday |  | Saturday |  | Sunday
 | Morning | Night | Morning | Night | Morning | Night | Morning | Night | Morning | Night | Morning | Night | Morning | Night
2021-01-01 00:00:00 | 1 | 4 | 2 | 9* | 6# | 7 | 2 | 4 | 1 | 6 | 8 | 0
2021-01-02 00:00:00 | 7 | 8 | 6 | 1 | 5 | 4 | 6 | 8 | 0 | 1 | 9 | 2 | 3 | 7
Spreadsheet: 740744d1626526556-correction-needed-for-calculating-running-quantity-example_running_quantity_v1
Sheet: Bitcoin Cash

TOTALS
Purchase Quantity
Sale Quantity
Outstanding
 |  |  |  |  | TRANSACTION |  |  |  |  | OUTBOUND (Past) |  |  | OUTSTANDING (What's left to sell) |  |  | P/L
Trade Symbol | Transaction | Date | Sale Portion | [NAME] | Quantity Bought(+) / Sold(-) | Price | Fees | Amount | Running Quantity (Cumulative) | Quantity Sold | Price | Amount (Cost of Goods Sold) | Quantity Remaing | Price | Amount (Inventory Value) | Gain(+) / Loss(-) Running Balance | Gain(+) / Loss(-) per Sales Only
 | Purchase | 2021-02-22 00:00:00 |  |  | 0.16587323 | 602.87 | 0
 | Purchase | 2021-02-22 00:00:00 |  |  | 0.04451012 | 561.67 | 0
 | Purchase | 2021-02-23 00:00:00 |  |  | 0.15100926 | 496.58 | 0
 | Purchase | 2021-02-23 00:00:00 |  |  | 0.11111111 | 450 | 0
 | Purchase | 2021-02-28 00:00:00 |  |  | 0.10816891 | 462.42 | 0
 | Purchase | 2021-02-28 00:00:00 |  |  | 0.11270653 | 443.63 | 0
 | Sale | 2021-03-29 00:00:00 | All | Short | -0.69337916 | 519.36 | 0
 | Purchase | 2021-04-17 00:00:00 |  |  | 0.554502 | 902.36 | 0
 | Purchase | 2021-04-17 00:00:00 |  |  | 0.61494416 | 813.13 | 0
 | Purchase | 2021-04-27 00:00:00 |  |  | 1.17063065 | 854.23 | 0
 | Purchase | 2021-05-02 00:00:00 |  |  | 5.10172846 | 983.61 | 0
 | Sale | 2021-05-04 00:00:00 | All | Short | -7.44180527 | 1014.32 | 0
 | Purchase | 2021-05-04 00:00:00 |  |  | 5.15060365 | 974.86 | 0
 | Sale | 2021-05-04 00:00:00 | All | Short | -5.15060365 | 1025.24 | 0
 | Purchase | 2021-05-05 00:00:00 |  |  | 8.24243505 | 1219.08 | 0
 | Purchase | 2021-05-05 00:00:00 |  |  | 7.65726099 | 1312.47 | 0
 | Purchase | 2021-05-06 00:00:00 |  |  | 24.72614011 | 1536.47 | 0
 | Sale | 2021-05-06 00:00:00 | Partial | Short | -24.68352277 | 1328.21 | 0
 | Purchase | 2021-05-06 00:00:00 |  |  | 24.74989886 | 1419.39 | 0
 | Sale | 2021-05-06 00:00:00 | Partial | Short | -24.54245845 | 1418.87 | 0
 | Sale | 2021-05-06 00:00:00 | All | Short | -16.14975379 | 1418.66 | 0
 | Purchase | 2021-05-06 00:00:00 |  |  | 6.47642717 | 1550.14 | 0
 | Sale | 2021-05-06 00:00:00 | All | Short | -6.47642717 | 1430.38 | 0
 | Purchase | 2021-05-07 00:00:00 |  |  | 2.1405484 | 1407.57 | 0
 | Sale | 2021-05-07 00:00:00 | All | Short | -2.1405484 | 1313.06 | 0
 | Purchase | 2021-05-08 00:00:00 |  |  | 3.69139067 | 1359.35 | 0
 | Purchase | 2021-05-09 00:00:00 |  |  | 3.750786 | 1337.16 | 0
 | Purchase | 2021-05-09 00:00:00 |  |  | 0.07247375 | 1379.49 | 0
 | Purchase | 2021-05-12 00:00:00 |  |  | 3.38109696 | 1483.42 | 0
 | Purchase | 2021-05-12 00:00:00 |  |  | 2.27272727 | 1320 | 0
 | Purchase | 2021-05-12 00:00:00 |  |  | 0.77615318 | 1290.07 | 0
 | Purchase | 2021-05-12 00:00:00 |  |  | 1.55162649 | 1289.42 | 0
 | Purchase | 2021-05-12 00:00:00 |  |  | 0.83187062 | 1214.13 | 0
 | Purchase | 2021-05-12 00:00:00 |  |  | 2.53613156 | 1185.63 | 0
 | Purchase | 2021-05-13 00:00:00 |  |  | 1.70138918 | 1178.89 | 0
 | Purchase | 2021-05-13 00:00:00 |  |  | 12.43269681 | 1211.99 | 0
 | Purchase | 2021-05-15 00:00:00 |  |  | 2.54965863 | 1176.21 | 0
 | Purchase | 2021-05-18 00:00:00 |  |  | 1.74241591 | 1091.43 | 0
Spreadsheet: 452421d1458733912-auto-populate-tab-based-on-drop-down-from-different-tab-ef890_projec-tracker
Sheet: Consolidated

Consolidated Project Tracker
 | # | Priority | Project Description | Impact | Approximate Cost | Champion | Status | Completion Goal | Responsibility | Comments
 | 1 | High | Complete SW time studies on all extruders |  | 300 | Braun | 0 | 2016-04-01 00:00:00 | HPT
 | 2
 | 3
 | 4
 | 5
 | 6
 | 7
 | 8
 | 9
 | 10
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 | 23
 | 24
 | 25
 | 26
 | 27
 | 28
 | 29
 | 30
 | 31
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 | 33
 | 34
 | 35
 | 36
 | 37
 | 38
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 | 40
 | 41
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 | 49
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 | 51
 | 52
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 | 56
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 | 58
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 | 73
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 | 75
 | 76
 | 77
 | 78
 | 79
 | 80
 | 81
 | 82
 | 83
 | 84
 | 85
 | 86
 | 87
Spreadsheet: 04cf6079-2572-440f-8027-56a1ae1977db
Sheet: T5

الجدول 5: السكان في مصر بحسب [NAME] تعداد 2006
Table 5: Population of Egypt by age groups, 2006 census
 | Nationals | المواطنون | Non-nationals | [NAME] | Urban | حضر | Rural | ريف | Total | المجموع | المجموع
[NAME] | ذكور | إناث | ذكور | إناث | ذكور | إناث | ذكور | إناث | ذكور | إناث | [NAME]
Age group | Male | Female | Male | Female | Male | Female | Male | Female | Male | Female | Both sexes
0-4 | 4231397 | 4024007 | 4214 | 3850 | … | … | … | … | 4235611 | 4027857 | 8263468
5-9 | 4744139 | 4437825 | 4427 | 4012 | … | … | … | … | 4748566 | 4441837 | 9190403
10-14 | 4908718 | 4559117 | 4574 | 4338 | … | … | … | … | 4913292 | 4563455 | 9476747
15-19 | 4344315 | 3975933 | 5759 | 4740 | … | … | … | … | 4350074 | 3980673 | 8330747
20-24 | 3175297 | 2903359 | 8978 | 6143 | … | … | … | … | 3184275 | 2909502 | 6093777
25-29 | 2517666 | 2731447 | 6517 | 5337 | … | … | … | … | 2524183 | 2736784 | 5260967
30-34 | 2405265 | 2419374 | 6218 | 5351 | … | … | … | … | 2411483 | 2424725 | 4836208
35-39 | 2297883 | 2317903 | 5030 | 4175 | … | … | … | … | 2302913 | 2322078 | 4624991
40-44 | 1932096 | 1889329 | 4896 | 3602 | … | … | … | … | 1936992 | 1892931 | 3829923
45-49 | 1675757 | 1539636 | 3810 | 2712 | … | … | … | … | 1679567 | 1542348 | 3221915
50-54 | 1202176 | 1225326 | 3567 | 2296 | … | … | … | … | 1205743 | 1227622 | 2433365
55-59 | 947728 | 839476 | 2322 | 1495 | … | … | … | … | 950050 | 840971 | 1791021
60-64 | 845859 | 832166 | 1814 | 1332 | … | … | … | … | 847673 | 833498 | 1681171
65+ | 1280303 | 1144164 | 2242 | 1943 | … | … | … | … | 1282545 | 1146107 | 2428652
غير محدد    Not stated | … | … | … | … | … | … | … | … | … | … | …
المجموع    Total | 36508599 | 34839062 | 64368 | 51326 | ... | ... | ... | ... | 36572967 | 34890388 | 71463355