Automated Data Analysis Using Excel

Brian Bissett holds graduate degrees from Rensselaer Polytechnic Institute in Troy, NY in Electrical Engineering (MSEE) and Business Administration (MBA). 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.

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.