Bluttman Ken - Access Data Analysis Cookbook
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Access Data Analysis Cookbook: summary, description and annotation
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This book offers practical recipes to solve a variety of common problems that users have with extracting Access data and performing calculations on it. 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, how to jump beyond SQL by manipulating data with VBA, and more.
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Copyright 2008 O'Reilly Media, Inc.
I dedicate this book to Chestnut(September 29, 1995April 16, 2007), my ever-faithful cocker spaniel who followed me around like the puppy dog he was, even in his old age. I always watched over him, and now he is watching over us. We miss you .
Ken Bluttman
To my father, Jay B. Freeze, who taught me how to survive when things get rough. I miss you .
Wayne S. Freeze
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Supplemental files and examples for this book can be found at http://examples.oreilly.com/9780596101220/. Please use a standard desktop web browser to access these files, as they may not be accessible from all ereader devices.
All code files or examples referenced in the book will be available online. For physical books that ship with an accompanying disc, whenever possible, weve posted all CD/DVD content. Note that while we provide as much of the media content as we are able via free download, we are sometimes limited by licensing restrictions. Please direct any questions or concerns to .
Business users are often surprised at Access' power and flexibility. People frequently say to me things like "Access won't work for thiswe have 13,000 records!" I just have to laugh when I hear such statements. As I (and, I imagine, many of you reading this book) know, Access can easily handle that much data, and then some.
So, just how powerful is Access? Access has the goods under the hood to do a lot of things that may not be obvious. How can you find out about them? Well, you've come to the right place. This book showcases many mini-solutions in Access that have likely befuddled some and had others wondering what other types of data Access can be coerced into providing.
Access Data Analysis Cookbook is about solutions to real-world problems. This is not a book about designing forms, learning about primary keys, or discussing the use of built-in wizards to make easy queries or reports. This book is about applying Access to the business grindstone.
Within the dozens of recipes contained in this book, you will learn new ways to query data, how to move data in and out of Access in several different ways, how to calculate answers to financial and investment questions, and much, much more.
As of this writing, Access 2007 has just become available. The recipe solutions in this book apply to all version of Access, and the figures are from both Access 2007 and Access 2003. The bells and whistles and new interface of the new release are not factors here; across versions, SQL, VBA, DAO, and ADO have remained constant.
I would not suggest this book for brand-new Access users, but anyone with some Access experience should do well with it. As long as you understand how to get around the Access user interface, basic table structures and relations among them, and how to construct simple queries, you should be able to follow along. Even seasoned developers will pick up new tips and techniques. Considering that many recipes center around business issues rather than technical issues, everyone should be able to gain some smarts about analysis and reportingthe world that users inhabit.
Access Data Analysis Cookbook focuses on data. The recipes provide example queries, programming tips, and a smattering of math, all with a view to getting answers from your data. Here is a summary of the chapters' contents:
Explores ways of developing basic and sophisticated queries. In this chapter, a variety of query issues are addressed, including the use of the AND, OR, IN, and NOT operators; creating union queries; and understanding join types.
Illustrates further ways of using queries to find answers to real problems. It demonstrates how to apply aggregate functions, custom functions, regular expressions, and crosstabs.
, Action QueriesShows how to apply queries to perform nonpassive activities such as inserting, updating, and deleting data.
, Managing Tables, Fields, Indexes, and QueriesIntroduces programmatically creating and manipulating tables and queries.
, Working with String DataDelivers a plateful of recipes to manage text-based data. This chapter introduces methods to isolate parts of a string, methods to remove spaces at the ends of and in the middle of strings, and how to work with numbers that are stored as text.
, Using Programming to Manipulate DataDiscusses several ways to use arrays, how to read from and write to the Windows Registry, how to encrypt data, and how to use transaction processing. Recipes here also cover search methods, charts, manipulating data relationships, and more.
, Importing and Exporting DataCovers the various methods of moving data into and out of Access: import/ export specifications, using the FileSystemObject, XML with XSLT, and communicating with SQL Server. Exchanging data with other applications in the Office suite is also covered. Ever wondered how to create an RSS feed? You can read all about that in this chapter, too.
Shows the various ways to get answers from time-based data. This chapter shows how to add time, count elapsed time, work with leap years, and manage time zones in your calculations.
, Business and Finance ProblemsCovers a variety of real-life business issues. Methods for calculating depreciation, loan paybacks, and return on investment (ROI) are introduced, and investment concerns such as moving averages, Head and Shoulders patterns, Bollinger Bands, and trend calculations are explored. One recipe explains how latitude and longitude are used to determine distances between geographical areas. This is the basis for the service many web sites offer of helping you find doctors, stores, or other services within a given mileage.
, StatisticsIs a great chapter for math enthusiasts (myself included). Many statistical techniques are explored in this chapter, including frequency, variance, kurtosis, linear regression, combinations, and permutations. All the recipes here have value in data analysis. And after all, Access is all about data and what to do with it!
The following typographical conventions are used in this book:
Used for table and field names, menu options, dialog box options, queries, and keyboard shortcuts
ItalicUsed for new terms and URLs, commands, file extensions, filenames, directory or folder names, and UNC pathnames
Constant widthUsed for command-line elements, SQL keywords, VBA functions, variables, properties, objects, methods, and parameters, as well as computer output and code examples
Constant width italicIndicates a placeholder (for which you substitute an actual name) in an example or registry key
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