Ken Bluttman, Wayne S. Freeze

Access Data Analysis Cookbook

Slicing and Dicing to Find the Results You Need

• Broschiertes Buch

Produktbeschreibung

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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Produktdetails

• Verlag: O'Reilly Media
• Seitenzahl: 366
• Erscheinungstermin: 19. Juni 2007
• Englisch
• Abmessung: 231mm x 179mm x 24mm
• Gewicht: 590g
• ISBN-13: 9780596101220
• ISBN-10: 0596101228
• Artikelnr.: 20786527

Autorenporträt

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.

Inhaltsangabe

From the content: Preface1. Query Construction1.1 Finding Unmatched Records1.2 Making AND and OR Do What You Expect1.3 Working with Criteria Using the IN Operator1.4 Excluding Records with the NOT Operator1.5 Parameterizing a Query1.6 Returning a Top or Bottom Number of Records1.7 Returning Distinct Records1.8 Returning Random Records1.9 Fine-Tuning Data Filtering with Subqueries1.10 Combining Data with Union Queries1.11 Inserting On-the-Fly Fields in Select Queries1.12 Using Aliases to Simplify Your SQL Statements1.13 Creating a Left Join1.14 Creating a Right Join1.15 Creating an Outer Join2. Calculating with Queries2.1 Finding the Sum or Average in a Set of Data2.2 Finding the Number of Items per Group2.3 Using Expressionsin Queries2.4 Using Custom Functions in Queries2.5 Using Regular Expressions in Queries2.6 Using a Cartesian Product to Return All Combinations of Data2.7 Creating a Crosstab Query to View Complex Information3. Action Queries3.1 Running an Update Query3.2 Appending Data3.3 Deleting Data3.4 Creating Tables with Make-Table Queries4. Managing Tables, Fields, Indexes, and Queries4.1 Creating Tables Programmatically4.2 Altering the Structure of a Table4.3 Creating and Using an Index4.4 Programmatically Removing a Table4.5 Programmatically Creating a Query5. Working with String Data