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Advanced Excel for Scientific Data Analysis 1st Edition by Robert De Levie ISBN 0195152751 9780195152753

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Advanced Excel for Scientific Data Analysis 1st Edition Robert De Levie Digital Instant Download

Author(s): Robert de Levie
ISBN(s): 9780195170894, 019517089X
Edition: 1
File Details: PDF, 11.70 MB
Year: 2004
Language: english
SKU: EB-1755020 Category: Tag:

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Product details: 
ISBN 10: 0195152751
ISBN 13: 9780195152753
Author: Robert De Levie

Excel is by far the most widely distributed data analysis software but few users are aware of its full powers. Advanced Excel For Scientific Data Analysis takes off from where most books dealing with scientific applications of Excel end. It focuses on three areas-least squares, Fourier transformation, and digital simulation-and illustrates these with extensive examples, often taken from the literature. It also includes and describes a number of sample macros and functions to facilitate common data analysis tasks. These macros and functions are provided in uncompiled, computer-readable, easily modifiable form; readers can therefore use them as starting points for making their own personalized data analysis tools. Detailed descriptions and sample applications of standard and specialized uses of least squares for fitting data to a variety of functions, including resolving multi-component spectra; standard processes such as calibration curves and extrapolation; custom macros for general “error” propagation, standard deviations of Solver results, weighted or equidistant least squares, Gram-Schmidt orthogonalization, Fourier transformation, convolution and deconvolution, time-frequency analysis, and data mapping. There are also worked examples showing how to use centering, the covariance matrix, imprecision contours, and Wiener filtering and custom functions for bisections, Lagrange interpolation, Euler and Runge-Kutta integration.

Advanced Excel for Scientific Data Analysis 1st Edition Table of contents:

Chapter 1: Introduction to Advanced Excel for Scientific Data

  • Overview of Excel’s Capabilities for Scientific Analysis
  • Navigating the Excel Interface: Tools and Features for Scientists
  • Key Excel Functions for Data Analysis
  • Customizing Excel for Scientific Workflows
  • Understanding Data Structures in Excel

Chapter 2: Working with Complex Data Sets

  • Organizing Data for Analysis: Best Practices
  • Importing and Exporting Scientific Data into Excel
  • Managing Large Data Sets: Handling Size and Speed
  • Using Excel Tables for Structured Data Management
  • Sorting and Filtering Data for Efficient Analysis

Chapter 3: Advanced Formulas and Functions

  • Creating and Using Complex Formulas for Scientific Calculations
  • Understanding Logical and Lookup Functions
  • Statistical Functions for Data Analysis: A Deeper Dive
  • Mathematical Functions: Applying Calculus and Linear Algebra in Excel
  • Text and Date Functions for Organizing Data
  • Writing and Debugging Array Formulas for Complex Calculations

Chapter 4: Data Visualization Techniques

  • Creating Scientific Graphs and Charts: The Basics
  • Customizing Excel Charts for Scientific Data Visualization
  • Scatter Plots, Histograms, and Box Plots for Data Distribution
  • Creating Surface and 3D Plots for Complex Data Sets
  • Using Sparklines and Conditional Formatting for Data Insights
  • Best Practices in Data Visualization for Clarity and Precision

Chapter 5: Advanced Data Analysis Tools in Excel

  • Using Excel’s Data Analysis ToolPak for Statistical Analysis
  • Performing Regression Analysis in Excel
  • Analysis of Variance (ANOVA) and Hypothesis Testing
  • Time Series Analysis: Trends, Moving Averages, and Forecasting
  • Solving Optimization Problems with Excel Solver
  • Monte Carlo Simulations in Excel: Applications in Scientific Data

Chapter 6: Scientific Data Processing and Transformation

  • Data Cleaning and Preprocessing Techniques
  • Handling Missing or Incomplete Data
  • Normalizing and Scaling Data for Analysis
  • Using Excel for Fourier Transforms and Signal Processing
  • Handling Scientific Notation and Precision in Excel
  • Working with Unit Conversion and Dimensional Analysis

Chapter 7: Automating and Customizing Excel for Scientific Work

  • Automating Repetitive Tasks with Excel Macros
  • Introduction to VBA (Visual Basic for Applications) for Custom Functions
  • Writing VBA Code for Scientific Data Analysis
  • Creating Custom Excel Add-ins for Specialized Functions
  • Developing User Forms and Controls for Interactive Scientific Tools
  • Best Practices for VBA Programming in Scientific Applications

Chapter 8: Excel for Collaborative Data Analysis

  • Sharing Workbooks and Collaborative Features in Excel
  • Tracking Changes and Version Control in Excel
  • Using Comments and Annotations for Collaborative Analysis
  • Combining Excel with Other Scientific Software for Cross-Platform Data Analysis
  • Integrating Excel with Databases and External Data Sources

Chapter 9: Case Studies in Scientific Data Analysis

  • Case Study 1: Environmental Data Analysis and Modeling
  • Case Study 2: Statistical Analysis of Experimental Results
  • Case Study 3: Physics Simulations and Data Visualization
  • Case Study 4: Data Processing for Biological and Medical Research
  • Case Study 5: Engineering Data Analysis: Structural and Mechanical Applications

Chapter 10: Troubleshooting and Optimization in Excel

  • Diagnosing Common Errors and Problems in Scientific Calculations
  • Optimizing Excel Performance for Large Data Sets
  • Debugging Formulas and Macros for Accuracy and Efficiency
  • Tips for Reducing Excel Crashes and Improving Stability
  • Memory Management and Speed Enhancements in Excel

Chapter 11: Looking Beyond Excel: Integrating Excel with Other Tools

  • Using Excel in Tandem with Python, R, and MATLAB for Advanced Analysis
  • Exporting Data from Excel to Other Analytical Tools
  • Incorporating External Scripts and Models into Excel Workflows
  • Leveraging Cloud-Based Tools for Collaborative Data Analysis
  • The Future of Excel in Scientific Research: Emerging Trends

Appendices

  • A: Quick Reference Guide to Excel Functions for Scientists
  • B: VBA Code Snippets for Common Scientific Tasks
  • C: Recommended Reading and Resources for Scientific Data Analysis
  • D: Index

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Robert De Levie,Advanced Excel,Scientific Data Analysis