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Overview
Functionality Demonstrated in This Edition Includes:
- Find and extract information raw data files
- Format data in color (conditional formatting)
- Perform non-linear and linear regressions on data
- Create custom functions for specific applications
- Generate datasets for regressions and functions
- Create custom reports for regulatory agencies
- Leverage email to send generated reports
- Return data to Excel using ADO, DAO, and SQL queries
- Create database files for processed data
- Create tables, records, and fields in databases
- Add data to databases in fields or records
- Leverage external computational engines
- Call functions in MATLAB® and Origin® from Excel
Product Details
ISBN-13: | 9781482250138 |
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Publisher: | Taylor & Francis |
Publication date: | 08/19/2020 |
Series: | Chapman & Hall/CRC Data Mining and Knowledge Discovery Series |
Edition description: | Revised |
Pages: | 610 |
Product dimensions: | 7.00(w) x 10.00(h) x (d) |
About the Author
He is the author of three technical books: Practical Pharmaceutical Laboratory Automation, and Automated Data Analysis with Excel, as well as numerous technical articles, and co-author of several book chapters.
He began his career as a co-operative student at the Naval Undersea Warfare Center (NUWC) in New London, CT where he worked in the Experimental Test and Measurements Laboratory for Edward G. Marsh, the Hybrid Microelectronics Laboratory for Thomas A. Freehill, and the Digital Design Laboratory for Robert J. White. He worked on projects ranging from digital design of communication cards for the New Sonar Intercept System (NSIS) and analog preamplifier testing and fabrication for towed arrays.
For 16 years he worked at Pfizer Global Research and Development in Groton, CT in the Physical Measurements Laboratory for Dr. Christopher Lipinski (author of the “Rule of 5”), where he designed an automated kinetic solubility assay for which Pfizer applied for a patent on. After Chris’ retirement, he reported to Dr. Franco Lombardo in the Molecular Properties Group, automating the analysis of drug discovery parameters across 5 worldwide pharmaceutical drug discovery sites. He is a frequently invited presenter at Bio-IT World in Boston, MA for the last 15 years.
He returned to the federal government in 2010, at the Social Security Administration (SSA) in Woodlawn, MD. In the Office of Investment Management (OIM) in the Office of the Chief Information Officer (OCIO), he automated the data collection and analysis for SSA’s Strategic IT Asset Reviews for Associate CIO Lester Diamond. He is currently a senior advisor in the Office of Systems in the Office of Hardware Engineering.
Table of Contents
Preface. About the Author. Acknowledgments. Introduction. Chapter 1 Customizing Excel’s Ribbon Interface. Chapter 2 Accessing Data in Excel: A VBA Macro Writer’s Perspective. Chapter 3 Methods of Loading and Saving Data in Excel. Chapter 4 Control and Manipulation of Worksheet Data. Chapter 5 Utilizing Functions in Excel. Chapter 6 Data Mining in Excel. Chapter 7 Creating Custom Report Worksheets. Chapter 8 Introduction to Microsoft Access. Chapter 9 From Excel to Access and Back Again. Chapter 10 Analyses Via External Applications. Chapter 11 An Example ADA Application. Index.What People are Saying About This
… this book shows the reader, in a step-by-step fashion, how to construct a useful automated data analysis application that is useful in both industrial and academic types of sets. Using this book, the reader should be able to construct applications that can import data from various sources, apply algorithms to data that have been imported, and create meaningful reports based on the results. The book could be used as a reference by researchers, engineers, and graduate students who use Excel to handle their data sets.
—Technometrics, February 2010, Vol. 52, No. 1
Automated Data Analysis Using Excel explains how to conduct and automate a wide range of data and analysis tasks using VBA. It includes a CD-ROM with data examples and code that is very useful, especially to the new programmer … Overall, I consider this a very useful reference for the ambitious programmer wishing to fully harness the power of Excel.
—Madhumita (Bonnie) Ghosh-Dastidar, The RAND Corporation, The American Statistician, May 2009, Vol. 63, No. 2