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Synopsis
Excel is the leading spreadsheet both in its widespread distribution and in its computational features. In scientific research, spreadsheets are often used to organize and plot experimental results for reports and papers. Spreadsheets are also much-used tools in teaching some of the more quantitative aspects of science. This guidebook is different from the majority of existing Excel books in that it emphasizes the design of solutions to unique problems rather than simply the mechanics of spreadsheet use. Its focus is on the use of Excel to analyze numerical experimental data usually encountered in the physical sciences. The core of the book discusses the two primary approaches to scientific data analysis, least squares and Fourier transformation. Other cases in which experiments must be compared with the results of numerical simulations are also briefly discussed. Macros are presented as examples that readers can modify for their own purposes. The text is illustrated throughout with practical examples.
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About the Author
Robert de Levie is the author of more than 160 papers in analytical chemistry and electrochemistry, of an early Spreadsheet Workbook for Quantitative Chemical Analysis, McGraw-Hill, 1992; of a textbook on the Principles of Quantitative Chemical Analysis, McGraw-Hill 1997; of an Oxford Chemistry Primer on Aqueous Acid-Base Equilibria and Titrations, Oxford University Press, 1999; and most recently, of How to Use Excel in Analytical Chemistry, Cambridge University Press, 2001. He was born and raised in the Netherlands, earned his Ph.D. in physical chemistry at the University of Amsterdam, was a postdoctoral fellow with Paul Delahay in Baton Rouge, Louisiana, and for 34 years taught analytical chemistry and electrochemistry at Georgetown University. For ten of those years, he was the US editor of the Journal of Electroanalytical Chemistry. Now an emeritus professor, he lives on Orr's Island, and is associated with Bowdoin College in nearby Brunswick, Maine.
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- PublisherOUP USA
- Publication date2004
- ISBN 10 0195152751
- ISBN 13 9780195152753
- BindingPaperback
- LanguageEnglish
- Number of pages629
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Advanced Excel for Scientific Data Analysis
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