Book description
Given the improved analytical capabilities of Excel, scientists and engineers everywhere are using itinstead of FORTRANto solve problems. And why not? Excel is installed on millions of computers, features a rich set of builtin analyses tools, and includes an integrated Visual Basic for Applications (VBA) programming language. No wonder it's today's computing tool of choice.
Chances are you already use Excel to perform some fairly routine calculations. Now the Excel Scientific and Engineering Cookbook shows you how to leverage Excel to perform more complex calculations, too, calculations that once fell in the domain of specialized tools. It does so by putting a smorgasbord of data analysis techniques right at your fingertips. The book shows how to perform these useful tasks and others:
 Use Excel and VBA in general
 Import data from a variety of sources
 Analyze data
 Perform calculations
 Visualize the results for interpretation and presentation
 Use Excel to solve specific science and engineering problems
Wherever possible, the Excel Scientific and Engineering Cookbook draws on realworld examples from a range of scientific disciplines such as biology, chemistry, and physics. This way, you'll be better prepared to solve the problems you face in your everyday scientific or engineering tasks.
High on practicality and low on theory, this quick, lookup reference provides instant solutions, or "recipes," to problems both basic and advanced. And like other books in O'Reilly's popular Cookbook format, each recipe also includes a discussion on how and why it works. As a result, you can take comfort in knowing that complete, practical answers are a mere pageflip away.
Publisher resources
Table of contents
 A Note Regarding Supplemental Files
 Preface

1. Using Excel
 1.0. Introduction
 1.1. Navigating the Interface
 1.2. Entering Data
 1.3. Setting Cell Data Types
 1.4. Selecting More Than a Single Cell
 1.5. Entering Formulas
 1.6. Exploring the R1C1 Cell Reference Style
 1.7. Referring to More Than a Single Cell
 1.8. Understanding Operator Precedence
 1.9. Using Exponents in Formulas
 1.10. Exploring Functions
 1.11. Formatting Your Spreadsheets
 1.12. Defining Custom Format Styles
 1.13. Leveraging Copy, Cut, Paste, and Paste Special
 1.14. Using Cell Names (Like Programming Variables)
 1.15. Validating Data
 1.16. Taking Advantage of Macros
 1.17. Adding Comments and Equation Notes
 1.18. Getting Help

2. Getting Acquainted with Visual Basic for Applications
 2.0. Introduction
 2.1. Navigating the VBA Editor
 2.2. Writing Functions and Subroutines
 2.3. Working with Data Types
 2.4. Defining Variables
 2.5. Defining Constants
 2.6. Using Arrays
 2.7. Commenting Code
 2.8. Spanning Long Statements over Multiple Lines
 2.9. Using Conditional Statements
 2.10. Using Loops
 2.11. Debugging VBA Code
 2.12. Exploring VBA’s Builtin Functions
 2.13. Exploring Excel Objects
 2.14. Creating Your Own Objects in VBA
 2.15. VBA Help

3. Collecting and Cleaning Up Data
 3.0. Introduction
 3.1. Importing Data from Text Files
 3.2. Importing Data from Delimited Text Files
 3.3. Importing Data Using DragandDrop
 3.4. Importing Data from Access Databases
 3.5. Importing Data from Web Pages
 3.6. Parsing Data
 3.7. Removing Weird Characters from Imported Text
 3.8. Converting Units
 3.9. Sorting Data
 3.10. Filtering Data
 3.11. Looking Up Values in Tables
 3.12. Retrieving Data from XML Files

4. Charting
 4.0. Introduction
 4.1. Creating Simple Charts
 4.2. Exploring Chart Styles
 4.3. Formatting Charts
 4.4. Customizing Chart Axes
 4.5. Setting Log or Semilog Scales
 4.6. Using Multiple Axes
 4.7. Changing the Type of an Existing Chart
 4.8. Combining Chart Types
 4.9. Building 3D Surface Plots
 4.10. Preparing Contour Plots
 4.11. Annotating Charts
 4.12. Saving Custom Chart Types
 4.13. Copying Charts to Word
 414. Displaying Error Bars
 5. Statistical Analysis

6. Time Series Analysis
 6.0. Introduction
 6.1. Plotting Time Series Data
 6.2. Adding Trendlines
 6.3. Computing Moving Averages
 6.4. Smoothing Data Using Weighted Averages
 6.5. Centering Data
 6.6. Detrending a Time Series
 6.7. Estimating Seasonal Indices
 6.8. Deseasonalization of a Time Series
 6.9. Forecasting
 6.10. Applying Discrete Fourier Transforms

7. Mathematical Functions
 7.0. Introduction
 7.1. Using Summation Functions
 7.2. Delving into Division
 7.3. Mastering Multiplication
 7.4. Exploring Exponential and Logarithmic Functions
 7.5. Using Trigonometry Functions
 7.6. Seeing Signs
 7.7. Getting to the Root of Things
 7.8. Rounding and Truncating Numbers
 7.9. Converting Between Number Systems
 7.10. Manipulating Matrices
 7.11. Building Support for Vectors
 7.12. Using Spreadsheet Functions in VBA Code
 7.13. Dealing with Complex Numbers

8. Curve Fitting and Regression
 8.0. Introduction
 8.1. Performing Linear Curve Fitting Using Excel Charts
 8.2. Constructing Your Own Linear Fit Using Spreadsheet Functions
 8.3. Using a Single Spreadsheet Function for Linear Curve Fitting
 8.4. Performing Multiple Linear Regression
 8.5. Generating Nonlinear Curve Fits Using Excel Charts
 8.6. Fitting Nonlinear Curves Using Solver
 8.7. Assessing Goodness of Fit
 8.8. Computing Confidence Intervals
 9. Solving Equations
 10. Numerical Integration and Differentiation
 11. Solving Ordinary Differential Equations
 12. Solving Partial Differential Equations

13. Performing Optimization Analyses in Excel
 13.0. Introduction
 13.1. Using Excel for Traditional Linear Programming
 13.2. Exploring Resource Allocation Optimization Problems
 13.3. Getting More Realistic Results with Integer Constraints
 13.4. Tackling Troublesome Problems
 13.5. Optimizing Engineering Design Problems
 13.6. Understanding Solver Reports
 13.7. Programming a Genetic Algorithm for Optimization

14. Introduction to Financial Calculations
 14.0. Introduction
 14.1. Computing Present Value
 14.2. Calculating Future Value
 14.3. Figuring Out Required Rate of Return
 14.4. Doubling Your Money
 14.5. Determining Monthly Payments
 14.6. Considering Cash Flow Alternatives
 14.7. Achieving a Certain Future Value
 14.8. Assessing Net Present Worth
 14.9. Estimating Rate of Return
 14.10. Solving Inverse Problems
 14.11. Figuring a BreakEven Point
 Index
 About the Author
 Colophon
 Copyright
Product information
 Title: Excel Scientific and Engineering Cookbook
 Author(s):
 Release date: January 2006
 Publisher(s): O'Reilly Media, Inc.
 ISBN: 9780596008796
You might also like
book
Technical Java™: Developing Scientific and Engineering Applications
TechnicalJava™ Developing Scientific and Engineering Applications Grant Palmer The practical, examplerich guide to Java technical programming …
book
Microsoft® Excel® 2010 Formulas & Functions Inside Out
Conquer Microsoft Excel formulas and functions—from the inside out! You’re beyond the basics, so dive right …
book
Practical MATLAB Modeling with Simulink: Programming and Simulating Ordinary and Partial Differential Equations
Employ the essential and handson tools and functions of MATLAB's ordinary differential equation (ODE) and partial …
audiobook
Difficult Conversations
You have to talk with a colleague about a fraught situation, but you're worried that they'll …