Access Data Analysis Cookbook: Slicing and Dicing to Find the Results You Need

Ken Bluttman

ISBN 10: 0596101228 / ISBN 13: 9780596101220

Published by O'Reilly Media, 2007

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. . . . . Seller Inventory # V9780596101220

Synopsis:

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.

About the Authors: Ken Bluttman is the author of numerous computer books and articles. He recently wrote O'Reilly's "Access Hacks" as well as "Excel Charts for Dummies". Ken's technical chops include Microsoft Office, XML, VBA, VB.NET, SQL Server, and assorted web technologies.

Wayne S. Freeze is the Head of Software Development for Electrical Controls, Inc., where he builds software 3D graphics applications using Visual Basic, SQL Server and DirectX. He has written more than a dozen books over the years and has over seventy-five articles to his credit. Wayne has been using and writing about Access for nearly ten years, and has over 30 years of experience using all types of computers, from small, embedded microprocessor control systems to large-scale IBM mainframes. He also has a master's degree in management information systems as well as degrees in computer science and electrical engineering.

Bibliographic Details

Title: Access Data Analysis Cookbook: Slicing and ...
Publisher: O'Reilly Media
Publication Date: 2007
Binding: Soft cover
Condition: New
Edition: 1st Edition