๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Microsoft Access 2007 data analysis (with source code)

โœ Scribed by Michael Alexander


Book ID
127444153
Publisher
Wiley
Year
2007
Tongue
English
Weight
5 MB
Category
Library
City
Indianapolis, IN
ISBN
0470104856

No coin nor oath required. For personal study only.

โœฆ Synopsis


  • Data analysis is the process of categorizing data into groups, translating large amounts of data into meaningful information, and performing a wide variety of calculations in a fraction of the time it would normally take by hand* Showing readers how to save time and increase productivity, this unique book explains how to analyze data using the latest version of Microsoft Access, the world's leading PC database system* Practical, real-world scenarios demonstrate the benefits of using Access for data analysis, show how to avoid common pitfalls of everyday data crunching, and illustrate the differences and similarities between Access and Excel data analysis* Explains how to analyze large amounts of data and report findings in an easily understood manner, automate redundant analysis, and get better visibility into data from different perspectives

โœฆ Subjects


Microsoft Access


๐Ÿ“œ SIMILAR VOLUMES


Microsoft Excel & Access Integration: wi
โœ Michael Alexander, Geoffrey Clark ๐Ÿ“‚ Library ๐Ÿ“… 2007 ๐Ÿ› Wiley ๐ŸŒ English โš– 10 MB

Although many people rarely go from Excel into Access or vice versa, you should know that Microsoft actually designed these applications to work together. In this book, you'll discover how Access benefits from Excel's flexible presentation layer and versatile analysis capabilities, while Access's re

Delving source code with formal concept
โœ Kim Mens; Tom Tourwรฉ ๐Ÿ“‚ Article ๐Ÿ“… 2005 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 385 KB

Getting an initial understanding of the structure of a software system, whether it is for software maintenance, evolution or reengineering purposes, is a nontrivial task. We propose a lightweight approach to delve a system's source code automatically and efficiently for relevant concepts of interest