Isbn: 9780596101220 - access data analysis cookbook: slicing and dicing to find the results you need (cookbooks ser.) (34 resultados)

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  • Idioma: Inglés

    Editorial: O'Reilly Media, 2007

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    Paperback. Condición: Good. Offers practical recipes to solve a variety of common problems that users have with extracting Access data and performing calculations on it. This book shows how to: apply statistics to summarize business information; jump beyond SQL by manipulating data with VBA; process dates and times; and, reach into the Excel data analysis toolkit.…

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    Paperback. Condición: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

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    paperback. Condición: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

  • Idioma: Inglés

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    Paperback. Condición: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

  • Idioma: Inglés

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    Condición: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

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    Condición: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.…

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    Paperback or Softback. Condición: New. Access Data Analysis Cookbook. Book.

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    Paperback. Condición: New. 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.The 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; and, use the FileSystemObject, use XML with XSLT, communicate with SQL Server, and exchange data with other Office products. They also demonstrate ways to: 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); and, 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.…

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  • Idioma: Inglés

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    Paperback. Condición: New. 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.The 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; and, use the FileSystemObject, use XML with XSLT, communicate with SQL Server, and exchange data with other Office products. They also demonstrate ways to: 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); and, 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.…

  • Idioma: Inglés

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    Paperback. Condición: new. Paperback. 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. The 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; and, use the FileSystemObject, use XML with XSLT, communicate with SQL Server, and exchange data with other Office products. They also demonstrate ways to: 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); and, 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." Offers practical recipes to solve a variety of common problems that users have with extracting Access data and performing calculations on it. This book shows how to: apply statistics to summarize business information; jump beyond SQL by manipulating data with VBA; process dates and times; and, reach into the Excel data analysis toolkit. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

  • Idioma: Inglés

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    Paperback. Condición: Brand New. illustrated edition. 366 pages. 9.00x7.00x1.00 inches. In Stock.

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    Condición: New. pp. xiii + 351 Illus.

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    Condición: New. Offers practical recipes to solve a variety of common problems that users have with extracting Access data and performing calculations on it. This book shows how to: apply statistics to summarize business information; jump beyond SQL by manipulating data with VBA; process dates and times; and, reach into the Excel data analysis toolkit. Num Pages: 400 pages, Illustrations. BIC Classification: UNSC. Category: (G) General (US: Trade); (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 232 x 178 x 23. Weight in Grams: 594. . 2007. 1st Edition. Paperback. . . . .…

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    Condición: New. In English.

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    Condición: New. pp. xiii + 351.

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    paperback. Condición: New. In shrink wrap. Looks like an interesting title.

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    Condición: New. Offers practical recipes to solve a variety of common problems that users have with extracting Access data and performing calculations on it. This book shows how to: apply statistics to summarize business information; jump beyond SQL by manipulating data with VBA; process dates and times; and, reach into the Excel data analysis toolkit. Num Pages: 400 pages, Illustrations. BIC Classification: UNSC. Category: (G) General (US: Trade); (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 232 x 178 x 23. Weight in Grams: 594. . 2007. 1st Edition. Paperback. . . . . Books ship from the US and Ireland.…

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    Paperback. Condición: New. 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.The 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; and, use the FileSystemObject, use XML with XSLT, communicate with SQL Server, and exchange data with other Office products. They also demonstrate ways to: 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); and, 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.…