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In a corporate setting, the Microsoft Office Suite is an invaluable set of applications. One of Offices' biggest advantages is that its applications can work together to share information, produce reports, and so on. The problem is, there isn't much documentation on their cross-usage. Until now. Introducing Integrating Excel and Access, the unique reference that shows you how to combine the strengths of Microsoft Excel with those of Microsoft Access. In particular, the book explains how the powerful analysis tools of Excel can work in concert with the structured storage and more powerful querying of Access. The results that these two applications can produce together are virtually impossible to achieve with one program separately. But the book isn't just limited to Excel and Access. There's also a chapter on SQL Server, as well as one dedicated to integrating with other Microsoft Office applications. In no time, you'll discover how to: Utilize the built in features of Access and Excel to access data Use VBA within Access or Excel to access data Build connection strings using ADO and DAO Automate Excel reports including formatting, functions, and page setup Write complex functions and queries with VBA Write simple and advanced queries with the Access GUI Produce pivot tables and charts with your data With Integrating Excel and Access, you can crunch and visualize data like never before. It's the ideal guide for anyone who uses Microsoft Office to handle data.
Each iteration of Windows has meant a corresponding improvement in the techniques used for transferring data among its applications. Today's leading technique is called Automation. It allows you to work directly with objects in an application's interface using their object models. But if you want to write code in a programming language, such as Visual Basic, in order to work with the apps that support Automation, you must understand the inner workings of an application's object model--or in the case of Microsoft's Access, its two object models.Microsoft Access is the bestselling stand-alone relational database program for Windows offering both power and ease of use. And in many respects, Microsoft has made Automation the centerpiece of its vision for application development. DAO Object Model: The Definitive Reference will guide you through the Access object models, allowing you, with the support of Automation, to reference the application components you want to manipulate. An understanding of the object models is essential for developers who work with data in Access tables, or who want to manipulate components of the Access interface from other Office apps. The Data Access Objects (DAO) model is used to write and read data in Access tables. The Access object model is used to manipulate forms, reports, queries, macros, and other components of the Access interface, including most of the commands by means of the DoCmd object.This book will include an introduction and a brief description of the differences between VBA (used in most Office applications) and VBScript (used in Outlook). This chapter will also cover Office utilities and add-ons helpful in writing and debugging code, such as the Object Browser, the Integrated Development Environment (IDE) for VBA and the Interactive Debugger for VBScript. The book will then be divided into two parts; one covering the Access Object Model and the other, the Data Access Objects. Each section will have a description of what the object represents; listings of properties, events, and methods; and one or more code samples illustrating its use in VBA and/or VBScript code. Each property, event, or method section will have an explanation of the language element, and many will have code samples (either VBA or VBScript) as well.This book will detail, to an advanced user or keen intermediate user, the Access object models and how they are used. It will be the reference guide VB developers reach for when working with data in Access tables, or for manipulating components of the Access interface from other Office applications.
As part of the Microsoft Office suite, Access has become the industry's leading desktop database management program for organizing, accessing, and sharing information. But taking advantage of this product to build increasingly complex Access applications requires something more than your typical how-to book. What it calls for is Access Hacks from O'Reilly.This valuable guide provides direct, hands-on solutions that can help relieve the frustrations felt by users struggling to master the program's various complexities. For experienced users, Access Hacks offers a unique collection of proven techniques and tools that enable them to take their database skills and productivity to the next level. For Access beginners, it helps them acquire a firm grasp of the program's most productive features.A smart collection of insider tips and tricks, Access Hacks covers all of the program's finer points. Among the multitude of topics addressed, it shows users how to: work with Access in multi-user environments utilize SQL queries work with external data and programs integrate Access with third-party products Just imagine: a learning process without the angst. Well, Access Hacks delivers it with ease, thanks to these down-and-dirty techniques not collected together anywhere else.Part of O'Reilly's best-selling Hacks series, Access Hacks is based on author Ken Bluttman's two decades of real-world experience in database programming and business application building. It's because of his vast experiences that the book is able to offer such a deep understanding of the program's expanding possibilities.
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.
Why program Excel? For solving complex calculations and presenting results, Excel is amazingly complete with every imaginable feature already in place. But programming Excel isn't about adding new features as much as it's about combining existing features to solve particular problems. With a few modifications, you can transform Excel into a task-specific piece of software that will quickly and precisely serve your needs. In other words, Excel is an ideal platform for probably millions of small spreadsheet-based software solutions. The best part is, you can program Excel with no additional tools. A variant of the Visual Basic programming language, VB for Applications (VBA) is built into Excel to facilitate its use as a platform. With VBA, you can create macros and templates, manipulate user interface features such as menus and toolbars, and work with custom user forms or dialog boxes. VBA is relatively easy to use, but if you've never programmed before, Programming Excel with VBA and .NET is a great way to learn a lot very quickly. If you're an experienced Excel user or a Visual Basic programmer, you'll pick up a lot of valuable new tricks. Developers looking forward to .NET development will also find discussion of how the Excel object model works with .NET tools, including Visual Studio Tools for Office (VSTO). This book teaches you how to use Excel VBA by explaining concepts clearly and concisely in plain English, and provides plenty of downloadable samples so you can learn by doing. You'll be exposed to a wide range of tasks most commonly performed with Excel, arranged into chapters according to subject, with those subjects corresponding to one or more Excel objects. With both the samples and important reference information for each object included right in the chapters, instead of tucked away in separate sections, Programming Excel with VBA and .NET covers the entire Excel object library. For those just starting out, it also lays down the basic rules common to all programming languages. With this single-source reference and how-to guide, you'll learn to use the complete range of Excel programming tasks to solve problems, no matter what you're experience level.
Millions of users create and share Excel spreadsheets every day, but few go deeply enough to learn the techniques that will make their work much easier. There are many ways to take advantage of Excel's advanced capabilities without spending hours on advanced study. Excel Hacks provides more than 130 hacks -- clever tools, tips and techniques -- that will leapfrog your work beyond the ordinary. Now expanded to include Excel 2007, this resourceful, roll-up-your-sleeves guide gives you little known "backdoor" tricks for several Excel versions using different platforms and external applications. Think of this book as a toolbox. When a need arises or a problem occurs, you can simply use the right tool for the job. Hacks are grouped into chapters so you can find what you need quickly, including ways to: Reduce workbook and worksheet frustration -- manage how users interact with worksheets, find and highlight information, and deal with debris and corruption. Analyze and manage data -- extend and automate these features, moving beyond the limited tasks they were designed to perform. Hack names -- learn not only how to name cells and ranges, but also how to create names that adapt to the data in your spreadsheet. Get the most out of PivotTables -- avoid the problems that make them frustrating and learn how to extend them. Create customized charts -- tweak and combine Excel's built-in charting capabilities. Hack formulas and functions -- subjects range from moving formulas around to dealing with datatype issues to improving recalculation time. Make the most of macros -- including ways to manage them and use them to extend other features. Use the enhanced capabilities of Microsoft Office 2007 to combine Excel with Word, Access, and Outlook. You can either browse through the book or read it from cover to cover, studying the procedures and scripts to learn more about Excel. However you use it, Excel Hacks will help you increase productivity and give you hours of "hacking" enjoyment along the way.
A practical guide to data mining using SQL and Excel Data Analysis Using SQL and Excel, 2nd Edition shows you how to leverage the two most popular tools for data query and analysis—SQL and Excel—to perform sophisticated data analysis without the need for complex and expensive data mining tools. Written by a leading expert on business data mining, this book shows you how to extract useful business information from relational databases. You'll learn the fundamental techniques before moving into the "where" and "why" of each analysis, and then learn how to design and perform these analyses using SQL and Excel. Examples include SQL and Excel code, and the appendix shows how non-standard constructs are implemented in other major databases, including Oracle and IBM DB2/UDB. The companion website includes datasets and Excel spreadsheets, and the book provides hints, warnings, and technical asides to help you every step of the way. Data Analysis Using SQL and Excel, 2nd Edition shows you how to perform a wide range of sophisticated analyses using these simple tools, sparing you the significant expense of proprietary data mining tools like SAS. Understand core analytic techniques that work with SQL and Excel Ensure your analytic approach gets you the results you need Design and perform your analysis using SQL and Excel Data Analysis Using SQL and Excel, 2nd Edition shows you how to best use the tools you already know to achieve expert results.

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