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Access Data Analysis Cookbook
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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