access data analysis cookbook de bluttman ken (31 résultats)

Etat : 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.

Etat : Very Good. Ships from the UK. Former library book; may include library markings. Used book that is in excellent condition. May show signs of wear or have minor defects.

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

Paperback. Etat : Fair. 1. Heavy wear. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.

Etat : Good. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages.

Paperback. Etat : Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 1.35.

Etat : Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.

Paperback. Etat : 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.

Etat : As New. Unread book in perfect condition.

Paperback or Softback. Etat : New. Access Data Analysis Cookbook 1.26. Book.

Paperback. Etat : 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.

Etat : New.

Paperback. Etat : New. New copy - Usually dispatched within 4 working days. 624.

Paperback. Etat : 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.

Etat : 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 wi.

Etat : New. In.

Etat : As New. Unread book in perfect condition.

Paperback. Etat : New.

Paperback. Etat : 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.

Etat : New.

Taschenbuch. Etat : Neu. Neuware - 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.

Etat : 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. . . . .

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

Etat : New. pp. xiii + 351 Illus.

Etat : New. pp. xiii + 351.

Etat : 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.

paperback. Etat : Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!

Etat : New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books!

paperback. Etat : Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!

Etat : New.