Because the analysis of copious amounts of data and the preparation of
custom reports often take away time from true research, the automation
of these processes is paramount to ensure productivity. Exploring the
core areas of automation, report generation, data acquisition, and data
analysis, Automated Data Analysis Using Excel illustrates how to
minimize user intervention, automate parameter setup, obtain consistency
in both analysis and reporting, and save time through automation.
Focusing on the built-in Visual Basic(r) for Applications (VBA) scripting
language of Excel(r), the book shows step-by-step how to construct useful
automated data analysis applications for both industrial and academic
settings. It begins by discussing fundamental elements, the methods for
importing and accessing data, and the creation of reports. The author
then describes how to use Excel to obtain data from non-native sources,
such as databases and third-party calculation tools. After providing the
means to access any required information, the book explains how to
automate manipulations and calculations on the acquired data sources.
Collecting all of the concepts previously discussed in the book, the
final chapter demonstrates from beginning to end how to create a
cohesive, robust application. With an understanding of this book,
readers should be able to construct applications that can import data
from a variety of sources, apply algorithms to data that has been
imported, and create meaningful reports based on the results.
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