Excel Scientific and Engineering Cookbook

Excel Scientific and Engineering Cookbook

by David M Bourg
Released January 2006
Publisher(s): O'Reilly Media, Inc.
ISBN: 9780596008796

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Book description

Given the improved analytical capabilities of Excel, scientists and engineers everywhere are using it--instead of FORTRAN--to solve problems. And why not? Excel is installed on millions of computers, features a rich set of built-in 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 real-world 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, look-up 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 page-flip away.

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Table of contents

  1. A Note Regarding Supplemental Files
  2. Preface
    1. 1. Who Should Read This Book
    2. 2. What’s in This Book
    3. 3. Conventions in This Book
    4. 4. Using Code Examples
    5. 5. Safari Enabled
    6. 6. We’d Like Your Feedback!
    7. 7. Acknowledgments
  3. 1. Using Excel
    1. 1.0. Introduction
    2. 1.1. Navigating the Interface
    3. 1.2. Entering Data
    4. 1.3. Setting Cell Data Types
    5. 1.4. Selecting More Than a Single Cell
    6. 1.5. Entering Formulas
    7. 1.6. Exploring the R1C1 Cell Reference Style
    8. 1.7. Referring to More Than a Single Cell
    9. 1.8. Understanding Operator Precedence
    10. 1.9. Using Exponents in Formulas
    11. 1.10. Exploring Functions
    12. 1.11. Formatting Your Spreadsheets
    13. 1.12. Defining Custom Format Styles
    14. 1.13. Leveraging Copy, Cut, Paste, and Paste Special
    15. 1.14. Using Cell Names (Like Programming Variables)
    16. 1.15. Validating Data
    17. 1.16. Taking Advantage of Macros
    18. 1.17. Adding Comments and Equation Notes
    19. 1.18. Getting Help
  4. 2. Getting Acquainted with Visual Basic for Applications
    1. 2.0. Introduction
    2. 2.1. Navigating the VBA Editor
    3. 2.2. Writing Functions and Subroutines
    4. 2.3. Working with Data Types
    5. 2.4. Defining Variables
    6. 2.5. Defining Constants
    7. 2.6. Using Arrays
    8. 2.7. Commenting Code
    9. 2.8. Spanning Long Statements over Multiple Lines
    10. 2.9. Using Conditional Statements
    11. 2.10. Using Loops
    12. 2.11. Debugging VBA Code
    13. 2.12. Exploring VBA’s Built-in Functions
    14. 2.13. Exploring Excel Objects
    15. 2.14. Creating Your Own Objects in VBA
    16. 2.15. VBA Help
  5. 3. Collecting and Cleaning Up Data
    1. 3.0. Introduction
    2. 3.1. Importing Data from Text Files
    3. 3.2. Importing Data from Delimited Text Files
    4. 3.3. Importing Data Using Drag-and-Drop
    5. 3.4. Importing Data from Access Databases
    6. 3.5. Importing Data from Web Pages
    7. 3.6. Parsing Data
    8. 3.7. Removing Weird Characters from Imported Text
    9. 3.8. Converting Units
    10. 3.9. Sorting Data
    11. 3.10. Filtering Data
    12. 3.11. Looking Up Values in Tables
    13. 3.12. Retrieving Data from XML Files
  6. 4. Charting
    1. 4.0. Introduction
    2. 4.1. Creating Simple Charts
    3. 4.2. Exploring Chart Styles
    4. 4.3. Formatting Charts
    5. 4.4. Customizing Chart Axes
    6. 4.5. Setting Log or Semilog Scales
    7. 4.6. Using Multiple Axes
    8. 4.7. Changing the Type of an Existing Chart
    9. 4.8. Combining Chart Types
    10. 4.9. Building 3D Surface Plots
    11. 4.10. Preparing Contour Plots
    12. 4.11. Annotating Charts
    13. 4.12. Saving Custom Chart Types
    14. 4.13. Copying Charts to Word
    15. 4-14. Displaying Error Bars
  7. 5. Statistical Analysis
    1. 5.0. Introduction
    2. 5.1. Computing Summary Statistics
    3. 5.2. Plotting Frequency Distributions
    4. 5.3. Calculating Confidence Intervals
    5. 5.4. Correlating Data
    6. 5.5. Ranking and Percentiles
    7. 5.6. Performing Statistical Tests
    8. 5.7. Conducting ANOVA
    9. 5.8. Generating Random Numbers
    10. 5.9. Sampling Data
  8. 6. Time Series Analysis
    1. 6.0. Introduction
    2. 6.1. Plotting Time Series Data
    3. 6.2. Adding Trendlines
    4. 6.3. Computing Moving Averages
    5. 6.4. Smoothing Data Using Weighted Averages
    6. 6.5. Centering Data
    7. 6.6. Detrending a Time Series
    8. 6.7. Estimating Seasonal Indices
    9. 6.8. Deseasonalization of a Time Series
    10. 6.9. Forecasting
    11. 6.10. Applying Discrete Fourier Transforms
  9. 7. Mathematical Functions
    1. 7.0. Introduction
    2. 7.1. Using Summation Functions
    3. 7.2. Delving into Division
    4. 7.3. Mastering Multiplication
    5. 7.4. Exploring Exponential and Logarithmic Functions
    6. 7.5. Using Trigonometry Functions
    7. 7.6. Seeing Signs
    8. 7.7. Getting to the Root of Things
    9. 7.8. Rounding and Truncating Numbers
    10. 7.9. Converting Between Number Systems
    11. 7.10. Manipulating Matrices
    12. 7.11. Building Support for Vectors
    13. 7.12. Using Spreadsheet Functions in VBA Code
    14. 7.13. Dealing with Complex Numbers
  10. 8. Curve Fitting and Regression
    1. 8.0. Introduction
    2. 8.1. Performing Linear Curve Fitting Using Excel Charts
    3. 8.2. Constructing Your Own Linear Fit Using Spreadsheet Functions
    4. 8.3. Using a Single Spreadsheet Function for Linear Curve Fitting
    5. 8.4. Performing Multiple Linear Regression
    6. 8.5. Generating Nonlinear Curve Fits Using Excel Charts
    7. 8.6. Fitting Nonlinear Curves Using Solver
    8. 8.7. Assessing Goodness of Fit
    9. 8.8. Computing Confidence Intervals
  11. 9. Solving Equations
    1. 9.0. Introduction
    2. 9.1. Finding Roots Graphically
    3. 9.2. Solving Nonlinear Equations Iteratively
    4. 9.3. Automating Tedious Problems with VBA
    5. 9.4. Solving Linear Systems
    6. 9.5. Tackling Nonlinear Systems of Equations
    7. 9.6. Using Classical Methods for Solving Equations
  12. 10. Numerical Integration and Differentiation
    1. 10.0. Introduction
    2. 10.1. Integrating a Definite Integral
    3. 10.2. Implementing the Trapezoidal Rule in VBA
    4. 10.3. Computing the Center of an Area Using Numerical Integration
    5. 10.4. Calculating the Second Moment of an Area
    6. 10.5. Dealing with Double Integrals
    7. 10.6. Numerical Differentiation
  13. 11. Solving Ordinary Differential Equations
    1. 11.0. Introduction
    2. 11.1. Solving First-Order Initial Value Problems
    3. 11.2. Applying the Runge-Kutta Method to Second-Order Initial Value Problems
    4. 11.3. Tackling Coupled Equations
    5. 11.4. Shooting Boundary Value Problems
  14. 12. Solving Partial Differential Equations
    1. 12.0. Introduction
    2. 12.1. Leveraging Excel to Directly Solve Finite Difference Equations
    3. 12.2. Recruiting Solver to Iteratively Solve Finite Difference Equations
    4. 12.3. Solving Initial Value Problems
    5. 12.4. Using Excel to Help Solve Problems Formulated Using the Finite Element Method
  15. 13. Performing Optimization Analyses in Excel
    1. 13.0. Introduction
    2. 13.1. Using Excel for Traditional Linear Programming
    3. 13.2. Exploring Resource Allocation Optimization Problems
    4. 13.3. Getting More Realistic Results with Integer Constraints
    5. 13.4. Tackling Troublesome Problems
    6. 13.5. Optimizing Engineering Design Problems
    7. 13.6. Understanding Solver Reports
    8. 13.7. Programming a Genetic Algorithm for Optimization
  16. 14. Introduction to Financial Calculations
    1. 14.0. Introduction
    2. 14.1. Computing Present Value
    3. 14.2. Calculating Future Value
    4. 14.3. Figuring Out Required Rate of Return
    5. 14.4. Doubling Your Money
    6. 14.5. Determining Monthly Payments
    7. 14.6. Considering Cash Flow Alternatives
    8. 14.7. Achieving a Certain Future Value
    9. 14.8. Assessing Net Present Worth
    10. 14.9. Estimating Rate of Return
    11. 14.10. Solving Inverse Problems
    12. 14.11. Figuring a Break-Even Point
  17. Index
  18. About the Author
  19. Colophon
  20. Copyright

Product information

  • Title: Excel Scientific and Engineering Cookbook
  • Author(s): David M Bourg
  • Release date: January 2006
  • Publisher(s): O'Reilly Media, Inc.
  • ISBN: 9780596008796