Présentation de l'éditeur
Quatrième de couverture
Spreadsheet packages –– once limited primarily to business applications–are emerging as invaluable tools for processing, analyzing, and presenting scientific data. Many spreadsheet programs now include built–in scientific and statistical tools, 3–D display options, and the capacity to nest dedicated scientific programs, enabling students, teachers, and scientists to process experimental data in a digital environment.
This book illustrates how EXCEL′s flexible environment can be used to prepare spreadsheet solutions for scientific data processing problems. It demonstrates step by step how to program EXCEL to perform appropriate tasks, automate repetitive data processing tasks, and prepare integrated documents by transferring data and graphics. While the examples used are primarily related to chemistry, the overall approach is useful in numerous disciplines, including physics, engineering, and biology. Supported by numerous illustrations, this book
∗ Covers statistical functions and regression analysis
∗ Includes advanced topics, such as digital filters, graphing complex equations, nonlinear curve fitting, and mathematical model building
∗ Discusses the use of VBA and macros for user interface customization and automation of repetitive tasks