Features
- Cover Type: Paperback with 366 pages
- Published by: O'Reilly Media, Inc. May 14, 2007
- Written in: English
- ISBN 10 Number: 0596101228
- ISBN 13 Number: 978-0596101220
-
Book Dimensions:
9 x 6.9 x 0.9 inches
- Weighs: 1.2 pounds
Product Description
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 Author
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 thirty 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.
Reader ReviewsI am not sure if this was the intention of the authors, but I find this book to be amazingly helpful given my set of circumstances: I am pretty skilled in Excel and very new to Access, and I want to use Access in the same way I use Excel, but with much larger quantities of data. Of all the Access books I have been referencing, this one is by far the most useful. It provides lots of information on SQL if you are interested, but I'm ignoring that for now and still the book is great at providing the answers I need. I suspect there are lots of people in my shoes (heavy Excel background, but little experience with Access) and so I want to let you know about this excellent reference. I hope it helps you as much as it is helping me! To be more specific, if you are skilled at constructing formulas in Excel to convert and reformat and analyze data, and you have at least a rudimentary understanding of Access (I have attended a few 2-hour workshops and that's all), and you find yourself stumped in terms of how to do something in Access that would be easy for you to do in Excel, but you can't do it in Excel because you have millions of rows of data, then I'm guessing you will love this book.
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