Access Data Analysis Cookbook

Name: Access Data Analysis Cookbook | Slicing and Dicing to Find the Results You Need
Brand: O'Reilly
Price: 70.69 EUR
Availability: OnlineOnly

Slicing and Dicing to Find the Results You Need

Ken Bluttman(Autor*in)

O'Reilly (Verlag)

1. Auflage

Erschienen am 14. Mai 2007

370 Seiten

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Beschreibung

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 queriesApply aggregate functions, custom functions, regular expressions, and crosstabsApply queries to perform non-passive activities such as inserting, updating, and deleting dataCreate and manipulate tables and queries programmaticallyManage text-based data, including methods to isolate parts of a string and ways to work with numbers that are stored as textUse arrays, read and write to the Windows registry, encrypt data, and use transaction processingUse the FileSystemObject, use XML with XSLT, communicate with SQL Server, and exchange data with other Office productsFind 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 calculationsDeal 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 permutationsAccess 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.

Weitere Details

Weitere Ausgaben

Inhalt

Intro
Table of Contents
Preface
Who Should Read This Book
What's in This Book
Conventions Used in This Book
Using Code Examples
We'd Like Your Feedback!
Acknowledgments
From Ken Bluttman
From Wayne S. Freeze
Query Construction
1.1 Finding Unmatched Records
Problem
Solution
Discussion
See Also
1.2 Making AND and OR Do What You Expect
Problem
Solution
Discussion
1.3 Working with Criteria Using the IN Operator
Problem
Solution
Discussion
See Also
1.4 Excluding Records with the NOT Operator
Problem
Solution
Discussion
See Also
1.5 Parameterizing a Query
Problem
Solution
Discussion
Specifying a data type for the parameter
1.6 Returning a Top or Bottom Number of Records
Problem
Solution
Discussion
1.7 Returning Distinct Records
Problem
Solution
Discussion
Using DistinctRow
1.8 Returning Random Records
Problem
Solution
Discussion
1.9 Fine-Tuning Data Filtering with Subqueries
Problem
Solution
Discussion
Removing excessive queries
1.10 Combining Data with Union Queries
Problem
Solution
Discussion
1.11 Inserting On-the-Fly Fields in Select Queries
Problem
Solution
Discussion
1.12 Using Aliases to Simplify Your SQL Statements
Problem
Solution
Discussion
1.13 Creating a Left Join
Problem
Solution
Discussion
1.14 Creating a Right Join
Problem
Solution
Discussion
1.15 Creating an Outer Join
Problem
Solution
Discussion
See Also
Calculating with Queries
2.1 Finding the Sum or Average in a Set of Data
Problem
Solution
Discussion
2.2 Finding the Number of Items per Group
Problem
Solution
Discussion
2.3 Using Expressions in Queries
Problem
Solution
Discussion
2.4 Using Custom Functions in Queries
Problem
Solution
Discussion
2.5 Using Regular Expressions in Queries
Problem
Solution
Discussion
See Also
2.6 Using a Cartesian Product to Return All Combinations of Data
Problem
Solution
Discussion
2.7 Creating a Crosstab Query to View Complex Information
Problem
Solution
Discussion
Sophisticated crosstabs
Action Queries
3.1 Running an Update Query
Problem
Solution
Discussion
3.2 Appending Data
Problem
Solution
Discussion
Appending from a recordset
3.3 Deleting Data
Problem
Solution
Discussion
3.4 Creating Tables with Make-Table Queries
Problem
Solution
Discussion
Managing Tables, Fields, Indexes, and Queries
4.1 Creating Tables Programmatically
Problem
Solution
Using DAO to create a table
Using ADOX to create a table
Using SQL to create a table
Using an XSD schema definition to create a table
Discussion
Testing for the table's existence
Which method should you use?
4.2 Altering the Structure of a Table
Problem
Solution
Programmatically adding and deleting a field
Changing a field's data type
Discussion
4.3 Creating and Using an Index
Problem
Solution
Discussion
4.4 Programmatically Removing a Table
Problem
Solution
Discussion
4.5 Programmatically Creating a Query
Problem
Solution
Discussion
Creating action queries
Working with String Data
5.1 Returning Characters from the Left or Right Side of a String
Problem
Solution
Discussion
5.2 Returning Characters from the Middle of a String When the Start Position and Length Are Known
Problem
Solution
Discussion
5.3 Returning the Start Position of a Substring When the Characters Are Known
Problem
Solution
Discussion
5.4 Stripping Spaces from the Ends of a String
Problem
Solution
Discussion
5.5 Stripping Spaces from the Middle of a String
Problem
Solution
Discussion
5.6 Replacing One String with Another String
Problem
Solution
Discussion
5.7 Concatenating Data
Problem
Solution
Discussion
Using the Join function
5.8 Sorting Numbers That Are Stored as Text
Problem
Solution
Discussion
5.9 Categorizing Characters with ASCII Codes
Problem
Solution
Discussion
Using Programming to Manipulate Data
6.1 Using Excel Functions from Access
Problem
Solution
Discussion
6.2 Working with In-Memory Data
Problem
Solution
Discussion
Using collections
6.3 Working with Multidimensional Arrays
Problem
Solution
Discussion
Working with three-dimensional data
6.4 Sorting an Array
Problem
Solution
Discussion
Sorting multidimensional arrays
6.5 Flattening Data
Problem
Solution
Discussion
6.6 Expanding Data
Problem
Solution
Discussion
6.7 Encrypting Data
Problem
Solution
Discussion
6.8 Applying Proximate Matching
Problem
Solution
Discussion
6.9 Using Transaction Processing
Problem
Solution
Discussion
6.10 Reading from and Writing to the Windows Registry
Problem
Solution
Discussion
6.11 Creating Charts
Problem
Solution
Discussion
Charts in Access 2007
6.12 Scraping Web HTML
Problem
Solution
Discussion
6.13 Creating Custom Report Formatting
Problem
Solution
Discussion
6.14 Rounding Values
Problem
Solution
Discussion
6.15 Running Word Mail Merges
Problem
Solution
Discussion
6.16 Building a Multifaceted Query Selection Screen
Problem
Solution
Discussion
Importing and Exporting Data
7.1 Creating an Import/Export Specification
Problem
Solution
Discussion
7.2 Automating Imports and Exports
Problem
Solution
Discussion
7.3 Exporting Data with the FileSystemObject
Problem
Solution
Discussion
7.4 Importing Data with the FileSystemObject
Problem
Solution
Discussion
7.5 Importing and Exporting Using XML
Problem
Solution
Discussion
7.6 Generating XML Schemas
Problem
Solution
Discussion
7.7 Using XSLT on Import or Export
Problem
Solution
Discussion
7.8 Working with XML via the MSXML Parser
Problem
Solution
Discussion
7.9 Reading and Writing XML Attributes
Problem
Solution
Discussion
7.10 Creating an RSS Feed
Problem
Solution
Discussion
7.11 Passing Parameters to SQL Server
Problem
Solution
Discussion
7.12 Handling Returned Values from SQL Server Stored Procedures
Problem
Solution
Discussion
7.13 Working with SQL Server Data Types
Problem
Solution
Discussion
7.14 Handling Embedded Quotation Marks
Problem
Solution
Discussion
7.15 Importing Appointments from the Outlook Calendar
Problem
Solution
Discussion
7.16 Importing Emails from Outlook
Problem
Solution
Discussion
7.17 Working with Outlook Contacts
Problem
Solution
Discussion
7.18 Importing Data from Excel
Problem
Solution
Discussion
7.19 Exporting Data to Excel
Problem
Solution
Discussion
7.20 Talking to PowerPoint
Problem
Solution
Discussion
7.21 Selecting Random Data
Problem
Solution
Discussion
Date and Time Calculations
8.1 Counting Elapsed Time
Problem
Solution
Discussion
8.2 Counting Elapsed Time with Exceptions
Problem
Solution
Discussion
8.3 Working with Time Zones
Problem
Solution
Discussion
8.4 Working Around Leap Years
Problem
Solution
Discussion
8.5 Isolating the Day, Month, or Year
Problem
Solution
Discussion
8.6 Isolating the Hour, Minute, or Second
Problem
Solution
Discussion
8.7 Adding Time
Problem
Solution
Discussion
Business and Finance Problems
9.1 Calculating Weighted Averages
Problem
Solution
Discussion
9.2 Calculating a Moving Average
Problem
Solution
Discussion
See Also
9.3 Calculating Payback Period
Problem
Solution
Discussion
9.4 Calculating Return on Investment
Problem
Solution
Discussion
9.5 Calculating Straight-Line Depreciation
Problem
Solution
Discussion
9.6 Creating a Loan Payment Schedule
Problem
Solution
Discussion
9.7 Using PivotTables and PivotCharts
Problem
Solution
Discussion
See Also
9.8 Creating PivotTables
Problem
Solution
Discussion
9.9 Charting Data
Problem
Solution
Discussion
9.10 Finding Trends
Problem
Solution
Discussion
9.11 Finding Head and Shoulders Patterns
Problem
Solution
Discussion
9.12 Working with Bollinger Bands
Problem
Solution
Discussion
9.13 Calculating Distance Between Zip Codes
Problem
Solution
Discussion
Statistics
10.1 Creating a Histogram
Problem
Solution
Discussion
10.2 Finding and Comparing the Mean, Mode, and Median
Problem
Solution
Discussion
10.3 Calculating the Variance in a Set of Data
Problem
Solution
Discussion
10.4 Finding the Covariance of Two Data Sets
Problem
Solution
Discussion
10.5 Finding the Correlation of Two Sets of Data
Problem
Solution
Discussion
10.6 Returning All Permutations in a Set of Data
Problem
Solution
Discussion
10.7 Returning All Combinations in a Set of Data
Problem
Solution
Discussion
10.8 Calculating the Frequency of a Value in a Set of Data
Problem
Solution
Discussion
10.9 Generating Growth Rates
Problem
Solution
Discussion
10.10 Determining the Probability Mass Function for a Set of Data
Problem
Solution
Discussion
10.11 Computing the Kurtosis to Understand the Peakedness or Flatness of a Probability Mass Distr...
Problem
Solution
Discussion
10.12 Determining the Skew of a Set of Data
Problem
Solution
Discussion
10.13 Returning a Range of Data by Percentile
Problem
Solution
Discussion
10.14 Determining the Rank of a Data Item
Problem
Solution
Discussion
10.15 Determining the Slope and the Intercept of a Linear Regression
Problem
Solution
Discussion
10.16 Measuring Volatility
Problem
Solution
Discussion
Index

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