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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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