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Advanced Excel for Scientific Data Analysis Paperback – Sep 1 2008

5.0 out of 5 stars 2 customer reviews

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Product details

  • Paperback: 704 pages
  • Publisher: Oxford University Press; 2nd ed. edition (Sept. 1 2008)
  • Language: English
  • ISBN-10: 0195370228
  • ISBN-13: 978-0195370225
  • Product Dimensions: 23.4 x 4.6 x 15.5 cm
  • Shipping Weight: 907 g
  • Average Customer Review: 5.0 out of 5 stars 2 customer reviews
  • Amazon Bestsellers Rank: #2,150,745 in Books (See Top 100 in Books)
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Product description

Review

"This guide to Excel focuses on three areas-least squares, Fourier transformation, and digital simulation. It illustrates the techniques with detailed examples, many drawn from the scientific literature. It also includes and describes a number of sample macros and functions to facilitate common data
analysis tasks. De Levie is affiliated with Bowdoin College."-SciTech Book News



"This guide to Excel focuses on three areas-least squares, Fourier transformation, and digital simulation. It illustrates the techniques with detailed examples, many drawn from the scientific literature. It also includes and describes a number of sample macros and functions to facilitate common data
analysis tasks. De Levie is affiliated with Bowdoin College."-SciTech Book News



"This guide to Excel focuses on three areas-least squares, Fourier transformation, and digital simulation. It illustrates the techniques with detailed examples, many drawn from the scientific literature. It also includes and describes a number of sample macros and functions to facilitate common data
analysis tasks. De Levie is affiliated with Bowdoin College."-SciTech Book News



"A very useful book that will help users familiar with Excel exploit its computational capacities to the fullest."--Journal of the American Chemical Society


About the Author

Robert De Levie is a visiting scholar in chemistry at Bowdoin College.


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March 25, 2004
Format: Paperback
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May 19, 2004
Format: Hardcover
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Amazon.com: 4.3 out of 5 stars 30 reviews
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4.0 out of 5 starsA source of ideas on how Excel can be used in science
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