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Access Data Analysis Cookbook - Bluttman, Ken
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
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Bluttman, Ken:
Access Data Analysis Cookbook - Taschenbuch

2007, ISBN: 9780596101220

[ED: Softcover], [PU: O'Reilly Media, Inc, USA / O'Reilly and Associates], If you have large quantities of data in a Microsoft Access database, and need to study that data in depth, this book is a data cruncher's dream. Access Data Analysis Cookbook offers practical recipes to solve a variety of common problems that users have with extracting Access data and performing calculations on it. Each recipe includes a discussion on how and why the solution works. Whether you use Access 2007 or an earlier version, this book will teach you new methods to query data, different ways to move data in and out of Access, how to calculate answers to financial and investment issues, and more. Learn how to apply statistics to summarize business information, how to jump beyond SQL by manipulating data with VBA, how to process dates and times, and even how to reach into the Excel data analysis toolkit. Recipes demonstrate ways to: - Develop basic and sophisticated queries - Apply aggregate functions, custom functions, regular expressions, and crosstabs - Apply queries to perform non-passive activities such as inserting, updating, and deleting data - Create and manipulate tables and queries programmatically - Manage text-based data, including methods to isolate parts of a string and ways to work with numbers that are stored as text - Use arrays, read and write to the Windows registry, encrypt data, and use transaction processing - Use the FileSystemObject, use XML with XSLT, communicate with SQL Server, and exchange data with other Office products - Find answers from time-based data, such as how to add time, count elapsed time, work with leap years, and how to manage time zones in your calculations - Deal with business and finance problems, including methods for calculating depreciation, loan paybacks, and Return on Investment (ROI) - Explore statistical techniques, such as frequency, variance, kurtosis, linear regression, combinations and permutations Access Data Analysis Cookbook is a one-stop-shop for extracting nuggets of valuable information from your database, and anyone with Access experience will benefit from these tips and techniques, including seasoned developers. If you want to use your data, and not just store it, you'll find this guide indispensable. If you have large quantities of data in a Microsoft Access database, and need to study that data in depth, this book is a data cruncher's dream. Access Data Analysis Cookbook offers practical recipes to solve a variety of common problems that users have with extracting Access data and performing calculations on it. Each recipe includes a discussion on how and why the solution works. Whether you use Access 2007 or an earlier version, this book will teach you new methods to query data, different ways to move data in and out of Access, how to calculate answers to financial and investment issues, and more. Learn how to apply statistics to summarize business information, how to jump beyond SQL by manipulating data with VBA, how to process dates and times, and even how to reach into the Excel data analysis toolkit. Recipes demonstrate ways to: * Develop basic and sophisticated queries * Apply aggregate functions, custom functions, regular expressions, and crosstabs * Apply queries to perform non-passive activities such as inserting, updating, and deleting data * Create and manipulate tables and queries programmatically * Manage text-based data, including methods to isolate parts of a string and ways to work with numbers that are stored as text * Use arrays, read and write to the Windows registry, encrypt data, and use transaction processing * Use the FileSystemObject, use XML with XSLT, communicate with SQL Server, and exchange data with other Office products * Find answers from time-based data, such as how to add time, count elapsed time, work with leap years, and how to manage time zones in your calculations * Deal with business and finance problems, including methods for calculating depreciation, loan paybacks, and Return on Investment (ROI) * Explore statistical techniques, such as frequency, variance, kurtosis, linear regression, combinations and permutations Access Data Analysis Cookbook is a one-stop-shop for extracting nuggets of valuable information from your database, and anyone with Access experience will benefit from these tips and techniques, including seasoned developers. If you want to use your data, and not just store it, you'll find this guide indispensable. Illustrations Versandfertig in 2-4 Wochen, DE, [SC: 0.00], Neuware, gewerbliches Angebot, offene Rechnung (Vorkasse vorbehalten)

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Access Data Analysis Cookbook - Ken Bluttman
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
Ken Bluttman:
Access Data Analysis Cookbook - neues Buch

2007, ISBN: 9780596101220

ID: 238302566

If you have large quantities of data in a Microsoft Access database, and need to study that data in depth, this book is a data cruncher´s dream. Access Data Analysis Cookbook offers practical recipes to solve a variety of common problems that users have with extracting Access data and performing calculations on it. Each recipe includes a discussion on how and why the solution works. Whether you use Access 2007 or an earlier version, this book will teach you new methods to query data, different ways to move data in and out of Access, how to calculate answers to financial and investment issues, and more. Learn how to apply statistics to summarize business information, how to jump beyond SQL by manipulating data with VBA, how to process dates and times, and even how to reach into the Excel data analysis toolkit. Recipes demonstrate ways to: * Develop basic and sophisticated queries * Apply aggregate functions, custom functions, regular expressions, and crosstabs * Apply queries to perform non-passive activities such as inserting, updating, and deleting data * Create and manipulate tables and queries programmatically * Manage text-based data, including methods to isolate parts of a string and ways to work with numbers that are stored as text * Use arrays, read and write to the Windows registry, encrypt data, and use transaction processing * Use the FileSystemObject, use XML with XSLT, communicate with SQL Server, and exchange data with other Office products * Find answers from time-based data, such as how to add time, count elapsed time, work with leap years, and how to manage time zones in your calculations * Deal with business and finance problems, including methods for calculating depreciation, loan paybacks, and Return on Investment (ROI) * Explore statistical techniques, such as frequency, variance, kurtosis, linear regression, combinations and permutations Access Data Analysis Cookbook is a one-stop-shop for extracting nuggets of valuable information from your database, and anyone with Access experience will benefit from these tips and techniques, including seasoned developers. If you want to use your data, and not just store it, you´ll find this guide indispensable. Slicing and Dicing to Find the Results You Need Buch (fremdspr.) Taschenbuch 01.05.2007 Bücher>Fremdsprachige Bücher>Englische Bücher, O´Reilly Media, Inc, USA, .200

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Access Data Analysis Cookbook - Bluttman, Ken / Freeze, Wayne
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Bluttman, Ken / Freeze, Wayne:
Access Data Analysis Cookbook - gebrauchtes Buch

2007, ISBN: 9780596101220

ID: 2189018

If you have large quantities of data in a Microsoft Access database, and need to study that data in depth, this book is a data cruncher's dream. Access Data Analysis Cookbook offers practical recipes to solve a variety of common problems that users have with extracting Access data and performing calculations on it. Each recipe includes a discussion on how and why the solution works. Whether you use Access 2007 or an earlier version, this book will teach you new methods to query data, different ways to move data in and out of Access, how to calculate answers to financial and investment issues, and more. Learn how to apply statistics to summarize business information, how to jump beyond SQL by manipulating data with VBA, how to process dates and times, and even how to reach into the Excel data analysis toolkit. Recipes demonstrate ways to: Develop basic and sophisticated queries Apply aggregate functions, custom functions, regular expressions, and crosstabs Apply queries to perform non-passive activities such as inserting, updating, and deleting data Create and manipulate tables and queries programmatically Manage text-based data, including methods to isolate parts of a string and ways to work with numbers that are stored as text Use arrays, read and write to the Windows registry, encrypt data, and use transaction processing Use the FileSystemObject, use XML with XSLT, communicate with SQL Server, and exchange data with other Office products Find answers from time-based data, such as how to add time, count elapsed time, work with leap years, and how to manage time zones in your calculations Deal with business and finance problems, including methods for calculating depreciation, loanpaybacks, and Return on Investment (ROI) Explore statistical techniques, such as frequency, variance, kurtosis, linear regression, combinations and permutations Access Data Analysis Cookbook is a one-stop-shop for extracting nuggets of valuable information from your database, and anyone with Access experience will benefit from these tips and techniques, including seasoned developers. If you want to use your data, and not just store it, you'll find this guide indispensable. Access Data Analysis Cookbook Bluttman, Ken / Freeze, Wayne, O'Reilly Media

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Access Data Analysis Cookbook - Bluttman, Ken; Freeze, Wayne S.
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Bluttman, Ken; Freeze, Wayne S.:
Access Data Analysis Cookbook - neues Buch

2007, ISBN: 9780596101220

ID: 443148

If you have large quantities of data in a Microsoft Access database, and need to study that data in depth, this book is a data cruncher's dream. Access Data Analysis Cookbook offers practical recipes to solve a variety of common problems that users have with extracting Access data and performing calculations on it. Each recipe includes a discussion on how and why the solution works. Whether you use Access 2007 or an earlier version, this book will teach you new methods to query data, different ways to move data in and out of Access, how to calculate answers to financial and investment issues, and more. Learn how to apply statistics to summarize business information, how to jump beyond SQL by manipulating data with VBA, how to process dates and times, and even how to reach into the Excel data analysis toolkit. Recipes demonstrate ways to: Develop basic and sophisticated queries Apply aggregate functions, custom functions, regular expressions, and crosstabs Apply queries to perform non-passive activities such as inserting, updating, and deleting data Create and manipulate tables and queries programmatically Manage text-based data, including methods to isolate parts of a string and ways to work with numbers that are stored as text Use arrays, read and write to the Windows registry, encrypt data, and use transaction processing Use the FileSystemObject, use XML with XSLT, communicate with SQL Server, and exchange data with other Office products Find answers from time-based data, such as how to add time, count elapsed time, work with leap years, and how to manage time zones in your calculations Deal with business and finance problems, including methods for calculating depreciation, loan paybacks, and Return on Investment (ROI) Explore statistical techniques, such as frequency, variance, kurtosis, linear regression, combinations and permutations Access Data Analysis Cookbook is a one-stop-shop for extracting nuggets of valuable information from your database, and anyone with Access experience will benefit from these tips and techniques, including seasoned developers. If you want to use your data, and not just store it, you'll find this guide indispensable. Computers Computers eBook, O'Reilly Media

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Access Data Analysis Cookbook - Ken Bluttman; Wayne S. Freeze
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Ken Bluttman; Wayne S. Freeze:
Access Data Analysis Cookbook - gebrauchtes Buch

2007, ISBN: 0596101228

ID: 5701252

If you have large quantities of data in a Microsoft Access database, and need to study that data in depth, this book is a data cruncher's dream. Access Data Analysis Cookbook offers practical recipes to solve a variety of common problems that users have with extracting Access data and performing calculations on it. Each recipe includes a discussion on how and why the solution works.Whether you use Access 2007 or an earlier version, this book will teach you new methods to query data, different ways to move data in and out of Access, how to calculate answers to financial and investment issues, and more. Learn how to apply statistics to summarize business information, how to jump beyond SQL by manipulating data with VBA, how to process dates and times, and even how to reach into the Excel data analysis toolkit. Recipes demonstrate ways to: Develop basic and sophisticated queries Apply aggregate functions, custom functions, regular expressions, and crosstabs Apply queries to perform non-passive activities such as inserting, updating, and deleting data Create and manipulate tables and queries programmatically Manage text-based data, including methods to isolate parts of a string and ways to work with numbers that are stored as text Use arrays, read and write to the Windows registry, encrypt data, and use transaction processing Use the FileSystemObject, use XML with XSLT, communicate with SQL Server, and exchange data with other Office products Find answers from time-based data, su computer science,computers,computers and technology,data warehousing,database design,database management systems,databases,home computing and how-to,information theory,microsoft Databases, O'Reilly Media, Incorporated

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Details zum Buch
Access Data Analysis Cookbook

If you have large quantities of data in a Microsoft Access database, and need to study that data in depth, this book is a data cruncher's dream. Access Data Analysis Cookbook offers practical recipes to solve a variety of common problems that users have with extracting Access data and performing calculations on it. Each recipe includes a discussion on how and why the solution works. Whether you use Access 2007 or an earlier version, this book will teach you new methods to query data, different ways to move data in and out of Access, how to calculate answers to financial and investment issues, and more. Learn how to apply statistics to summarize business information, how to jump beyond SQL by manipulating data with VBA, how to process dates and times, and even how to reach into the Excel data analysis toolkit. Recipes demonstrate ways to: * Develop basic and sophisticated queries * Apply aggregate functions, custom functions, regular expressions, and crosstabs * Apply queries to perform non-passive activities such as inserting, updating, and deleting data * Create and manipulate tables and queries programmatically * Manage text-based data, including methods to isolate parts of a string and ways to work with numbers that are stored as text * Use arrays, read and write to the Windows registry, encrypt data, and use transaction processing * Use the FileSystemObject, use XML with XSLT, communicate with SQL Server, and exchange data with other Office products * Find answers from time-based data, such as how to add time, count elapsed time, work with leap years, and how to manage time zones in your calculations * Deal with business and finance problems, including methods for calculating depreciation, loan paybacks, and Return on Investment (ROI) * Explore statistical techniques, such as frequency, variance, kurtosis, linear regression, combinations and permutations Access Data Analysis Cookbook is a one-stop-shop for extracting nuggets of valuable information from your database, and anyone with Access experience will benefit from these tips and techniques, including seasoned developers. If you want to use your data, and not just store it, you'll find this guide indispensable.

Detailangaben zum Buch - Access Data Analysis Cookbook


EAN (ISBN-13): 9780596101220
ISBN (ISBN-10): 0596101228
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2007
Herausgeber: OREILLY & ASSOC INC
351 Seiten
Gewicht: 0,572 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 16.10.2007 10:58:57
Buch zuletzt gefunden am 14.12.2017 14:08:43
ISBN/EAN: 9780596101220

ISBN - alternative Schreibweisen:
0-596-10122-8, 978-0-596-10122-0


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