tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 42e53d86-5179-42b5-9490-0c31faaf2cef
Sheet: Goal 3

 | Agency Name
 | Goal 3: Low-income people own a stake in their community.
 | National Performance Indicator 3.1
 |  |  |  |  |  | I.) Total Number of
 | Community Enhancement through Maximum Feasible Participation |  |  |  |  | Volunteer Hours
 | The number of volunteer hours donated to Community Action. |  |  |  |  | (#)
3.1 A | A.  Total number of volunteer hours donated by low-income individuals to Community Action (This is ONLY the number ofvolunteer hours from individuals who are low-income)
 | In the rows below, please include any additional indicators that were not captured above.
3.1 new 1
3.1 new 2
 | National Performance Indicator 3.2
 | Community Empowerment through Maximum Feasible
 | Participation
 |  |  |  |  |  | I.) Number of
 | The number low-income people mobilized as a direct |  |  |  |  | Low-Income
 | result of Community Action initiative to engage in activities |  |  |  |  | People
 | that support and promote their own well-being and that of
 | their community, as measured by one or more of the following: |  |  |  |  | (#)
3.2 A | A.  Number of low-income people participating in formal community organizations, government, boards or councils that provide input to decision-making and policy-setting through Community Action efforts
3.2 B | B.  Number of low-income people acquiring businesses in their community as a result of Community Action assistance
3.2 C | C.  Number of low-income people purchasing their own home in their community as a result of Community Action assistance
3.2 D | D.  Number of low-income people engaged in non-governance community activities or groups created or supported by Community Action
 | In the rows below, please include any additional indicators that were not captured above.
3.2 new 1
3.2 new 2
 | Next
Spreadsheet: 90405d1290120885-excel-2007-vlookup-in-multiple-sheets-vlookupproblem-1
Sheet: A

PRODUCTS | QTY | PIECES | PRICE | SELECTED QTY | FINAL PIECES
A1 | 2 | 30.25
A2 | 3 | 26.25
A3 | 4 | 17
A4 | 5 | 11
A5 | 6 | 1
A6 | 7 | 7
A7 | 8 | 10
A8 | 9 | 12
A9 | 10 | 35.25
A10 | 11 | 16
Spreadsheet: 770746d1646239008-manipulating-text-string-data-into-separate-columns-formatting-text-into-new-columns
Sheet: Sheet1

\ |  |  |  |  |  |  |  |  |  |  |  |  | Ideal Output
Data
1 bed, 1 bath, 600 sq ft
1200
1 bed, 1 bath, 7,223 sq ft |  |  |  |  |  |  |  |  |  |  |  |  | 1 bed | 1 bath | 7223
1 bed, 1 bath, 10,602 sq ft |  |  |  |  |  |  |  |  |  |  |  |  | 1 bed | 1 bath | 10602
square feet
availibilityMay 30
1 bed, 1 bath, 740 – 750 sq ft |  |  |  |  |  |  |  |  |  |  |  |  | 1 bed | 1 bath | 740 | 750
Studio, 1 bath, 425 sq ft |  |  |  |  |  |  |  |  |  |  |  |  | Studio | 1 bath | 425
1 bed, 1 bath, 780 - 1,123 sq ft |  |  |  |  |  |  |  |  |  |  |  |  | 1 bed | 1 bath | 780 | 1123
Spreadsheet: 809050d1670859577-summary-pivot-table-from-more-extensive-data-data-query
Sheet: Index Match

 | [NAME] | [NAME] | [NAME] | [NAME] | [NAME] | [NAME]
2023-01-02 00:00:00
2023-01-03 00:00:00
2023-01-04 00:00:00
2023-01-05 00:00:00
2023-01-06 00:00:00
Spreadsheet: 757897d1638503235-percentage-text-formula-answer-help-needed-example
Sheet: Trades

Date | Ticker | Position | Entry Price | Exit Price | Stop Loss | Shares | P&L $ | P&L % | Exposure | Risked % | Risked $ | Commission | Stopped
2021-12-01 00:00:00 | IMGN | LONG | 7.13 | 7.64 | 6.82 | 7900 |  |  |  |  |  |  | NO
2021-12-01 00:00:00 | AHI | LONG | 4.76 | 5.28 | 4.49 | 10500 |  |  |  |  |  |  | NO
2021-12-01 00:00:00 | AMAZ | LONG | 2 | 1 | 1.1 | 30000 |  |  |  |  |  |  | YES
X
Spreadsheet: 677969d1589639745-power-query-extract-data-from-cells-to-build-a-table-of-data-for-analysis-book3
Sheet: 01

REPORT 01
01.01.2020
SECTION 1
Executive Summary |  |  | G | Monitor IT situation security
Executive Summary |  |  | G | Level III Sys Ops Managers
SECTION 2
Issue |  | Description |  |  |  |  |  | Status
1 |  | A.16.1.4 Assessment of and decision on information security events |  |  |  |  |  | A
2 |  | A.16.1.5 Response to information security incidents |  |  |  |  |  | G
3 |  | A.17.2.1 Availability of information processing facilities |  |  |  |  |  | R
SECTION 3
 | Description
 |  |  |  |  | For info | For action
1 | Information security in project management |  |  |  |  | SSO
SECTION 4 |  |  |  |  |  |  | Status
1. Scope of the standard |  |  |  |  |  |  | A
2. How the document is referenced |  |  |  |  |  |  | G
3. Reuse of the terms and definitions in ISO/IEC 27000 |  |  |  |  |  |  | R
4. Organizational context and stakeholders |  |  |  |  |  |  | G
SECTION 5
A.5 Security Policy
A.6 Organisation of information Security
SECTION 6
A.7 Asset Management
A.8 Human Resources
A.9 Physical and environmental security
SECTION 7
A.10 Communications and operations management
A.11 Access Control
A.12 Information systems acquisition, development and maintenance
A.13 Information security incident management
SECTION 8
ISO/IEC JTC 1/SWG 6, Management
ISO/IEC JTC 1/WG 7, Sensor networks
ISO/IEC JTC 1/WG 9, Big Data
ISO/IEC JTC 1/WG 10, Internet of Things (IoT)
SECTION 9
Recommendation 1 | ISO/IEC JTC 1/SC 27/SWG-M | Status | G
ISO/TC 8, Ships and marine technology
ISO/TC 46, Information and documentation
ISO/TC 46/SC 11, Archives/records management
ISO/TC 68, Financial services
ISO/TC 68/SC 2, Financial Services, security
Recommendation 2 | ISO/IEC JTC 1/SC 27/WG 1 | Status | A
ISO/TC 8, Ships and marine technology
ISO/TC 46, Information and documentation
ISO/TC 46/SC 11, Archives/records management
ISO/TC 68, Financial services
ISO/TC 68/SC 2, Financial Services, security
ISO/TC 68/SC 7, Core banking
ISO/TC 171, Document management applications
ISO/TC 176, Quality management and quality assurance
ISO/TC 176/SC 3, Supporting technologies
Recommendation 3 | ISO/IEC JTC 1/SC 27/WG 3 | Status | A
ISO/TC 272, Forensic sciences
ISO/TC 292, Security and resilience
ISO/CASCO, Committee on Conformity Assessments
ISO/TMB/JTCG, Joint technical Coordination Group on MSS
ISO/TMB/SAG EE 1, Strategic Advisory Group on Energy Efficiency
IEC/SC 45A, Instrumentation, control and electrical systems of nuclear facilities
IEC/TC 57, Power systems management and associated information exchange
IEC/TC 65, Industrial-process measurement, control and automation
IEC Advisory Committee on Information security and data privacy (ACSEC)
Spreadsheet: 868905d1715616366-help-convert-a-table-range-into-another-book2
Sheet: Sheet1

 | [NAME] this |  |  |  |  |  |  |  | Into >>>>> |  |  | THIS
 | shift/day | 2024-05-01 00:00:00 | 2024-05-02 00:00:00 | 2024-05-03 00:00:00 | 2024-05-04 00:00:00 | 2024-05-05 00:00:00 | 2024-05-06 00:00:00 | 2024-05-07 00:00:00 |  |  |  | name/day | 2024-05-01 00:00:00 | 2024-05-02 00:00:00 | 2024-05-03 00:00:00 | 2024-05-04 00:00:00 | 2024-05-05 00:00:00 | 2024-05-06 00:00:00 | 2024-05-07 00:00:00 | 2024-05-08 00:00:00 | 2024-05-09 00:00:00 | 2024-05-10 00:00:00 | 2024-05-11 00:00:00 | 2024-05-12 00:00:00 | 2024-05-13 00:00:00 | 2024-05-14 00:00:00 | 2024-05-15 00:00:00 | 2024-05-16 00:00:00 | 2024-05-17 00:00:00 | 2024-05-18 00:00:00 | 2024-05-19 00:00:00 | 2024-05-20 00:00:00 | 2024-05-21 00:00:00
 | empty row | empty row | empty row | empty row | empty row | empty row | empty row | empty row |  |  |  | Nuno |  | 16-24 |  | 0-24
 | 0-8 |  | [NAME] | [NAME] |  |  |  | [NAME] |  |  |  | [NAME] | 0-24
 | 8-16 | [NAME] |  | [NAME] | [NAME] |  |  |  |  |  |  | [NAME] |  | 0-8 |  |  |  |  |  | repeats | repeats | repeats
 | 16-24 |  | Nuno |  |  |  |  |  |  |  |  | [NAME] |  |  | 0-8 ; 8-16 |  |  |  | 0-8
 | 0-12 | George |  |  |  |  | George |  |  |  |  | [NAME] |  |  |  | 8-16 |  |  |  | etc | etc | etc
 | 12-24 |  |  |  |  |  |  |  |  |  |  | [NAME] | 8-16
 | 0-24 | [NAME] |  |  | Nuno |  |  |  |  |  |  | George | 0-12 |  |  |  |  | 0-12
 | empty row | empty row | empty row | empty row | empty row | empty row | empty row | empty row
 | shift/day | 2024-05-08 00:00:00 | 2024-05-09 00:00:00 | 2024-05-10 00:00:00 | 2024-05-11 00:00:00 | 2024-05-12 00:00:00 | 2024-05-13 00:00:00 | 2024-05-14 00:00:00
 | empty row | empty row | empty row | empty row | empty row | empty row | empty row | empty row |  |  |  | (empty rows removed)
 | 0-8 |  | [NAME] | [NAME] |  |  |  | [NAME]
 | 8-16 | [NAME] |  | [NAME] | [NAME]
 | 16-24 |  | Nuno
 | 0-12 | George |  |  |  |  | George
 | 12-24
 | 0-24 | [NAME] |  |  | Nuno
 | empty row | empty row | empty row | empty row | empty row | empty row | empty row | empty row
 | shift/day | 2024-05-15 00:00:00 | 2024-05-16 00:00:00 | 2024-05-17 00:00:00 | 2024-05-18 00:00:00 | 2024-05-19 00:00:00 | 2024-05-20 00:00:00 | 2024-05-21 00:00:00
 | empty row | empty row | empty row | empty row | empty row | empty row | empty row | empty row
 | 0-8 |  | [NAME] | [NAME] |  |  |  | [NAME]
 | 8-16 | [NAME] |  | [NAME] | [NAME]
 | 16-24 |  | Nuno
 | 0-12 | George |  |  |  |  | George
 | 12-24
 | 0-24 | [NAME] |  |  | Nuno
Spreadsheet: 148880d1333587914-count-values-not-meeting-multiple-criteria-example-1
Sheet: Sheet1

Record No | Date | Name | Team/Individual | Criteria 1 | [NAME] | Criteria 3 | [NAME] | Criteria 5 | Criteria 6 | Criteria 7 | Nom By | Date | Award | Voucher | Rec Only | App | Data 1 | Data 2 | Data 3 | Data 4 | Data 5 | Award No | Voucher No
Nom-1 | 2011-12-16 07:45:40 | Person 1 | Individual | No | Yes | Yes | No | No | No | No | Nominee 1 | 07-09-2011 |  | 20 |  | Name 1 | AB1 | BB1 | CC1 | DD1 | EE1 |  | V20
Nom-2 | 2011-12-16 07:47:02 | Person 2 | Team | Yes | No | No | Yes | No | No | No | Nominee 2 | 19-10-2011 |  |  | Yes | Name 2 | AB2 | BB2 | CC2 | DD2 | EE2
Nom-3 | 2011-12-16 07:53:42 | Person 3 | Team | Yes | No | No | Yes | No | No | No | Nominee 3 | 10-12-2011 | [NAME] |  |  | Name 3 | AB3 | BB3 | CC3 | DD3 | EE3 | BBQT1
Nom-4 | 2011-12-16 09:59:24 | Person 4 | Team | No | Yes | No | Yes | No | Yes | No | Nominee 4 | 16-12-2011 |  | 25 |  | Name 4 | AB4 | BB4 | CC4 | DD4 | EE4 |  | V25
Nom-5 | 2011-12-20 10:31:44 | Person 5 | Team | Yes | No | No | No | Yes | No | No | Nominee 5 | 20-12-2011 |  |  | Yes | Name 5 | AB5 | BB5 | CC5 | DD5 | EE5
Nom-6 | 2011-12-20 15:33:16 | Person 6 | Team | No | Yes | No | No | No | No | Yes | Nominee 6 | 21-12-2011 |  | 25 |  | Name 6 | AB6 | BB6 | CC6 | DD6 | EE6 |  | V55
Nom-7 | 2011-12-28 14:10:29 | Person 7 | Team | No | Yes | No | No | No | No | Yes | Nominee 7 | 28-12-2011 | BBQ lunch |  |  | Name 7 | AB7 | BB7 | CC7 | DD7 | EE7 | BBA1
Nom-8 | 2011-12-28 14:08:29 | Person 8 | Individual | Yes | No | No | Yes | No | Yes | No | Nominee 8 | 28-12-2011 |  | 60 |  | Name 8 | AB8 | BB8 | CC8 | DD8 | EE8
Nom-9 | 2011-12-16 07:45:40 | Person 9 | Individual | No | Yes | Yes | No | No | No | No | Nominee 9 | 07-09-2012 |  |  | Yes | Name 9 | AB9 | BB9 | CC9 | DD9 | EE9
Nom-10 | 2011-12-16 07:47:02 | Person 10 | Team | Yes | No | No | Yes | No | No | No | Nominee 10 | 19-10-2012 | [NAME] |  |  | Name 10 | AB10 | BB10 | CC10 | DD10 | EE10 | AB1
Nom-11 | 2011-12-16 07:53:42 | Person 11 | Team | Yes | No | No | Yes | No | No | No | Nominee 11 | 10-12-2012 | [NAME] |  |  | Name 11 | AB11 | BB11 | CC11 | DD11 | EE11
Nom-12 | 2011-12-16 09:59:24 | Person 12 | Team | No | Yes | No | Yes | No | Yes | No | Nominee 12 | 16-12-2012 |  |  | Yes | Name 12 | AB12 | BB12 | CC12 | DD12 | EE12
 |  |  |  |  |  |  |  |  |  |  |  |  | What I am trying to do is count how many outstanding rows that have not been given a Award or Voucher number but excludes any rows that have [NAME] only
 |  |  |  |  |  |  |  |  |  |  |  |  | So in example above there is 2 records that have no [NAME] or voucher number
 |  |  |  |  |  |  |  |  |  |  |  |  | the number of records will be dynamic
 |  |  |  |  |  |  |  |  |  |  |  |  | I would like to show this value on Sheet 2
Spreadsheet: 830268d1684836352-height-of-users-formula-model-test
Sheet: Sheet2

Serial Number | Time Started | Time Finished | Users
[PHONE] | 2018-04-01 09:58:59 | 2018-04-01 11:47:49 | 1 |  | 2018-04-01 09:58:59 | 1
[PHONE] | 2018-04-02 17:50:13 | 2018-04-02 17:57:15 | 1 | [PHONE] | 2018-04-01 11:47:49 | -1
[PHONE] | 2018-04-02 22:36:20 | 2018-04-02 22:36:52 | 1 | [PHONE] | 2018-04-02 17:50:13 | 1
[PHONE] | 2018-04-03 14:02:45 | 2018-04-03 14:21:17 | 1 | [PHONE] | 2018-04-02 17:57:15 | -1
[PHONE] | 2018-04-03 14:02:49 | 2018-04-03 14:12:21 | 2 | [PHONE] | 2018-04-02 22:36:20 | 1
[PHONE] | 2018-04-03 17:07:24 | 2018-04-03 17:42:22 | 1 | [PHONE] | 2018-04-02 22:36:52 | -1
[PHONE] | 2018-04-03 19:29:12 | 2018-04-03 20:01:03 | 1 | [PHONE] | 2018-04-03 14:02:45 | 1
[PHONE] | 2018-04-04 17:12:45 | 2018-04-04 17:40:24 | 1 | [PHONE] | 2018-04-03 14:02:49 | 1
[PHONE] | 2018-04-04 17:16:49 | 2018-04-04 17:25:08 | 2 | [PHONE] | 2018-04-03 14:12:21 | -1
[PHONE] | 2018-04-04 19:09:34 | 2018-04-04 19:22:14 | 1 | [PHONE] | 2018-04-03 14:21:17 | -1
[PHONE] | 2018-04-04 16:43:29 | 2018-04-04 18:57:58 | 2 | [PHONE] | 2018-04-03 17:07:24 | 1
[PHONE] | 2018-04-04 19:08:50 | 2018-04-04 20:52:52 | 1 | [PHONE] | 2018-04-03 17:42:22 | -1
[PHONE] | 2018-04-04 17:09:59 | 2018-04-04 17:17:14 | 3 | [PHONE] | 2018-04-03 19:29:12 | 1
[PHONE] | 2018-04-04 16:37:55 | 2018-04-04 18:42:51 | 1 | [PHONE] | 2018-04-03 20:01:03 | -1
[PHONE] | 2018-04-05 09:53:48 | 2018-04-05 10:02:24 | 1 | [PHONE] | 2018-04-04 16:37:55 | 1
[PHONE] | 2018-04-05 15:57:02 | 2018-04-05 16:08:45 | 1 | [PHONE] | 2018-04-04 16:43:29 | 1
 |  |  |  | [PHONE] | 2018-04-04 17:09:59 | 1
 |  |  |  | [PHONE] | 2018-04-04 17:17:14 | -1
 |  |  |  | [PHONE] | 2018-04-04 18:42:51 | -1
 |  |  |  | [PHONE] | 2018-04-04 18:57:58 | -1
 |  |  |  | [PHONE] | 2018-04-04 19:08:50 | 1
 |  |  |  | [PHONE] | 2018-04-04 20:52:52 | -1
 |  |  |  | [PHONE] | 2018-04-04 17:12:45 | 1
 |  |  |  | [PHONE] | 2018-04-04 17:16:49 | 1
 |  |  |  | [PHONE] | 2018-04-04 17:25:08 | -1
 |  |  |  | [PHONE] | 2018-04-04 17:40:24 | -1
 |  |  |  | [PHONE] | 2018-04-04 19:09:34 | 1
 |  |  |  | [PHONE] | 2018-04-04 19:22:14 | -1
 |  |  |  | [PHONE] | 2018-04-05 09:53:48 | 1
 |  |  |  | [PHONE] | 2018-04-05 10:02:24 | -1
 |  |  |  | [PHONE] | 2018-04-05 15:57:02 | 1
 |  |  |  | [PHONE] | 2018-04-05 16:08:45 | -1
Spreadsheet: 851580d1701790596-predict-the-score-game-predict-the-score
Sheet: Week 1

2023-12-02 00:00:00
 |  | Actual | [NAME] |  | [NAME] |  | [NAME] |  | [NAME] |  | Jordan |  | [NAME] |  | [NAME] |  | [NAME]
 | Arsenal | 2 | 3 |  | 3 |  | 3 |  | 3 |  | 2 |  | 3 |  | 2 |  | 2
 | Wolves | 1 | 1 |  | 1 |  | 0 |  | 1 |  | 2 |  | 1 |  | 0 |  | 2
 | Brentford | 3 | 1 |  | 2 |  | 2 |  | 2 |  | 3 |  | 2 |  | 3 |  | 3
 | Luton | 1 | 0 |  | 0 |  | 0 |  | 0 |  | 0 |  | 0 |  | 1 |  | 1
 | Burnley | 5 | 0 |  | 2 |  | 1 |  | 1 |  | 2 |  | 2 |  | 2 |  | 1
 | Sheff utd | 0 | 0 |  | 1 |  | 1 |  | 2 |  | 1 |  | 1 |  | 2 |  | 1
 | Nott Forest | 0 | 1 |  | 1 |  | 2 |  | 1 |  | 1 |  | 1 |  | 1 |  | 3
 | Everton | 1 | 2 |  | 1 |  | 1 |  | 2 |  | 3 |  | 1 |  | 2 |  | 1
 | Newcastle | 1 | 1 |  | 2 |  | 2 |  | 1 |  | 2 |  | 2 |  | 2 |  | 3
 | Man Utd | 0 | 1 |  | 1 |  | 2 |  | 1 |  | 2 |  | 1 |  | 1 |  | 0
 | Chelsea | 3 | 3 |  | 1 |  | 2 |  | 2 |  | 2 |  | 2 |  | 1 |  | 1
 | Brighton | 2 | 0 |  | 2 |  | 1 |  | 1 |  | 2 |  | 2 |  | 1 |  | 3
 | Liverpool | 4 | 4 |  | 3 |  | 3 |  | 4 |  | 4 |  | 3 |  | 3 |  | 4
 | Fulham | 3 | 0 |  | 0 |  | 0 |  | 1 |  | 2 |  | 1 |  | 0 |  | 1
 | [NAME] | 1 | 2 |  | 1 |  | 2 |  | 2 |  | 1 |  | 1 |  | 2 |  | 3
 | Palace | 1 | 2 |  | 1 |  | 0 |  | 0 |  | 2 |  | 1 |  | 0 |  | 2
 | Man City | 3 | 2 |  | 3 |  | 3 |  | 2 |  | 3 |  | 3 |  | 2 |  | 4
 | Spurs | 3 | 0 |  | 1 |  | 1 |  | 0 |  | 2 |  | 1 |  | 1 |  | 2
 | Bournemouth | 2 | 1 |  | 1 |  | 1 |  | 1 |  | 1 |  | 0 |  | 2 |  | 0
 | A Villa | 2 | 2 |  | 3 |  | 2 |  | 1 |  | 4 |  | 2 |  | 2 |  | 1
 |  |  | [NAME] |  | [NAME] |  | [NAME] |  | [NAME] |  | Jordan |  | [NAME] |  | [NAME] |  | [NAME]
Spreadsheet: 783879d1655268693-transform-data-in-columns-to-rows-sample-11-ans
Sheet: Sheet1

This is the table I have
PACKAGE_CODE | Package Description | A | B | C | D | E | F | G | H | I
PK0004 | ABC | 1 | 210 | 210 | 0 | 0 | 105 | 105 | 105 | 420
PK0006 | CDE | 1 | 378 | 378 | 0 | 0 | 189 | 189 | 189 | 756
PK0007 | EFG | 1 | 315 | 315 | 0 | 0 | 157.5 | 157.5 | 157.5 | 630
Package Code | Package Description | Group | Amount
 |  |  |  |  |  |  |  |  |  |  |  | This is the table I want
 |  |  |  |  |  |  |  |  |  |  |  | Package Code | Package Description | Group | Amount
 |  |  |  |  |  |  |  |  |  |  |  | PK0004 | ABC | A | 1
 |  |  |  |  |  |  |  |  |  |  |  | PK0004 | ABC | B | 210
 |  |  |  |  |  |  |  |  |  |  |  | PK0004 | ABC | C | 210
 |  |  |  |  |  |  |  |  |  |  |  | PK0004 | ABC | D | 0
 |  |  |  |  |  |  |  |  |  |  |  | PK0004 | ABC | E | 0
 |  |  |  |  |  |  |  |  |  |  |  | PK0004 | ABC | F | 105
 |  |  |  |  |  |  |  |  |  |  |  | PK0004 | ABC | G | 105
 |  |  |  |  |  |  |  |  |  |  |  | PK0004 | ABC | H | 105
 |  |  |  |  |  |  |  |  |  |  |  | PK0004 | ABC | I | 420
 |  |  |  |  |  |  |  |  |  |  |  | PK0006 | CDE | A | 1
 |  |  |  |  |  |  |  |  |  |  |  | PK0006 | CDE | B | 378
 |  |  |  |  |  |  |  |  |  |  |  | PK0006 | CDE | C | 378
 |  |  |  |  |  |  |  |  |  |  |  | PK0006 | CDE | D | 0
 |  |  |  |  |  |  |  |  |  |  |  | PK0006 | CDE | E | 0
 |  |  |  |  |  |  |  |  |  |  |  | PK0006 | CDE | F | 189
 |  |  |  |  |  |  |  |  |  |  |  | PK0006 | CDE | G | 189
 |  |  |  |  |  |  |  |  |  |  |  | PK0006 | CDE | H | 189
 |  |  |  |  |  |  |  |  |  |  |  | PK0006 | CDE | I | 756
 |  |  |  |  |  |  |  |  |  |  |  | PK0007 | EFG | A | 1
 |  |  |  |  |  |  |  |  |  |  |  | PK0007 | EFG | B | 315
 |  |  |  |  |  |  |  |  |  |  |  | PK0007 | EFG | C | 315
 |  |  |  |  |  |  |  |  |  |  |  | PK0007 | EFG | D | 0
 |  |  |  |  |  |  |  |  |  |  |  | PK0007 | EFG | E | 0
 |  |  |  |  |  |  |  |  |  |  |  | PK0007 | EFG | F | 157.5
 |  |  |  |  |  |  |  |  |  |  |  | PK0007 | EFG | G | 157.5
 |  |  |  |  |  |  |  |  |  |  |  | PK0007 | EFG | H | 157.5
 |  |  |  |  |  |  |  |  |  |  |  | PK0007 | EFG | I | 630
Spreadsheet: c177e411-55c7-4e97-8c11-52fc51354a22
Sheet: Sheet1

Bevölkerung des Freistaates Sachsen nach ausgewählten Altersgruppen | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4
[NAME] im ländlichen Raum Südliche Oberlausitz - Variante 2
Alter von ... bis                     unter ... Jahren | 2011 | 2015 | 2020 | 2025
1 000
unter 20 | 29129 | 28785 | 26699 | 23749
20 - 25 | 9976 | 5630 | 6084 | 6025
25 - 35 | 21732 | 19632 | 14417 | 11349
35 - 55 | 55683 | 50287 | 42712 | 38080
55 - 67 | 33722 | 37761 | 38410 | 35347
67 und mehr | 51117 | 49202 | 51368 | 53277
Insgesamt | 201359 | 191297 | 179690 | 167827
%
unter 20 | 14.46620215634762 | 15.04728249789594 | 14.85836718793478 | 14.15088156256145
20 - 25 | 4.954335291692946 | 2.943067586005008 | 3.385831153653514 | 3.590006375612982
25 - 35 | 10.79266384914506 | 10.26257599439615 | 8.023262285046469 | 6.762320723125599
35 - 55 | 27.65359382992565 | 26.28739603862057 | 23.76982581111915 | 22.69003199723525
55 - 67 | 16.74720275726439 | 19.73946272027267 | 21.37570259892036 | 21.06156935415637
67 und mehr | 25.38600211562433 | 25.72021516280966 | 28.58701096332573 | 31.74518998730836
Insgesamt | 100 | 100 | 100 | 100
Gebietsstand: | 1. Januar 2012
Quelle: | 2011 Bevölkerungsfortschreibung auf Basis der [NAME] vom 03. Oktober 1990
 | 2012 - 2025 Bevölkerungsprognose
Bevölkerung jeweils am 31. Dezember
Prognoseergebnisse werden bei der Veröffentlichung immer auf volle [NAME] gerundet. [NAME] basieren [NAME] ungerundeten Werten. Beim [NAME] der [NAME] werden Ihnen die ungerundeten [NAME] zur Verfügung gestellt, damit [NAME] eigenen Berechnungen genauer durchführen können. Die Darstellung der Ergebnisse sollte dann aber wieder gerundet erfolgen.
Spreadsheet: 749518d1632849354-counting-common-values-between-two-columns-with-a-catch-exemple_forum-ans-2
Sheet: Sheet2

Table 2 (with list of project and project status |  |  |  |  |  |  | Common Projects |  | Total projects
Project A | non active
Project D | active
Project B | non active
Project C | active
Project E | active
Spreadsheet: 132782d1323925223-excel-2012-calendar-copy-of-2012-monthly-calendar
Sheet: Aug 2012

August 2012 Calendar.  This calendar is designed for easy use as a planner and has print range preset. |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Made with [NAME]: | Calendar Maker
 | ◄ Jul 2012 |  |  |  | ~ August 2012 ~ |  |  |  |  |  |  |  | Sep 2012 ► |  |  |  |  |  |  |  |  |  |  |  | 2011 Calendar
 | Sunday |  | Monday |  | Tuesday |  | Wednesday |  | Thursday |  | Friday |  | Saturday |  |  |  |  |  |  |  |  |  |  |  | 2012 Calendar
 |  |  |  |  |  |  | 2012-08-01 00:00:00 |  | 2012-08-02 00:00:00 |  | 2012-08-03 00:00:00 |  | 2012-08-04 00:00:00 |  |  |  |  |  |  |  |  |  |  |  | [NAME]
 | 2012-08-05 00:00:00 |  | 2012-08-06 00:00:00 |  | 2012-08-07 00:00:00 |  | 2012-08-08 00:00:00 |  | 2012-08-09 00:00:00 |  | 2012-08-10 00:00:00 |  | 2012-08-11 00:00:00
 | 2012-08-12 00:00:00 |  | 2012-08-13 00:00:00 |  | 2012-08-14 00:00:00 |  | 2012-08-15 00:00:00 |  | 2012-08-16 00:00:00 |  | 2012-08-17 00:00:00 |  | 2012-08-18 00:00:00
 | 2012-08-19 00:00:00 |  | 2012-08-20 00:00:00 |  | 2012-08-21 00:00:00 |  | 2012-08-22 00:00:00 |  | 2012-08-23 00:00:00 |  | 2012-08-24 00:00:00 |  | 2012-08-25 00:00:00
 | 2012-08-26 00:00:00 |  | 2012-08-27 00:00:00 |  | 2012-08-28 00:00:00 |  | 2012-08-29 00:00:00 |  | 2012-08-30 00:00:00 |  | 2012-08-31 00:00:00 |  | Notes:
 |  |  |  |  |  |  |  |  |  | More Calendars: |  | 2011 Excel Calendar |  | 2012 [NAME]
 | Created with [NAME]
 | ► For more layouts, colors, options & for calendars with [NAME] (for 10 Countries + Christian, Jewish & Muslim)  download [NAME] from WinCalendar.com.
 | ► You can even import Microsoft Outlook & Google Calendar appointment data onto created calendars using WinCalendar.
 | ► WinCalendar is also a integrated Windows, Word & Excel popup calendar that supports storing of daily appointments that display on created calendars.
Spreadsheet: 3a444ef7-a307-4aa9-9d62-607ddab65737
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
 | Time Series Workbook
 | 6427.0 Producer Price Indexes, Australia
 | Table 18. Materials used in coal mining, index numbers and percentage changes
Related Information: | Summary Publication | Explanatory Notes | Inquiries
Data Item Description |  |  | Series Type | Series ID | Series Start | Series End | No. Obs. | Unit | Data Type | [NAME]. | Collection Month
Index Number ;  Open cut mining ; |  |  | Original | A2314310A | 1987-09-01 00:00:00 | 2012-03-01 00:00:00 | 99 | Index Numbers | INDEX | Quarter | 3
Percentage change from pervious quarter ;  Open cut mining ; |  |  | Original | A2314311C | 1987-12-01 00:00:00 | 2012-03-01 00:00:00 | 98 | Percent | PERCENT | Quarter | 3
Percentage change from corresponding quarter of previous year ;  Open cut mining ; |  |  | Original | A2314312F | 1988-09-01 00:00:00 | 2012-03-01 00:00:00 | 95 | Percent | PERCENT | Quarter | 3
Index Number ;  Underground mining ; |  |  | Original | A2314376T | 1987-09-01 00:00:00 | 2012-03-01 00:00:00 | 99 | Index Numbers | INDEX | Quarter | 3
Percentage change from pervious quarter ;  Underground mining ; |  |  | Original | A2314377V | 1987-12-01 00:00:00 | 2012-03-01 00:00:00 | 98 | Percent | PERCENT | Quarter | 3
Percentage change from corresponding quarter of previous year ;  Underground mining ; |  |  | Original | A2314378W | 1988-09-01 00:00:00 | 2012-03-01 00:00:00 | 95 | Percent | PERCENT | Quarter | 3
© Commonwealth of Australia  2012