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Access Data Analysis Cookbook (c) by O'Reilly Media, Inc.

The type of the release is: eBook
In the PDF format with ISBN: 0596101228 and Pub Date: May 14, 2007
The size of the release is: 03 disks x 2.88mb
And released on: 09/07/2007

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.

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