MATLAB Scientific Plotting and Data Analysis
- 1st Edition - July 21, 2025
- Imprint: Elsevier
- Author: Jinbin Ding
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 3 6 7 5 7 - 1
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 3 6 7 5 8 - 8
MATLAB Scientific Plotting and Data Analysis combines the author's extensive experience in data analysis and scientific plotting to provide detailed explanations of the method… Read more
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MATLAB Scientific Plotting and Data Analysis combines the author's extensive experience in data analysis and scientific plotting to provide detailed explanations of the methods and techniques for using MATLAB. The book is divided into three parts, consisting of 12 chapters. The first part covers the basics of MATLAB, including the operating environment, data types and basic operations, file operations, and programming. The second part focuses on MATLAB's data visualization capabilities, with topics such as figure window information, 2D plotting, 3D plotting, specialized plotting, and handle graphics objects.
The third part covers descriptive data analysis, interpolation and fitting, regression analysis, and optimization problem solving. Furthermore, this book provides links to over 200 examples of teaching videos and hands-on exercise resource files, enhancing readers' learning efficiency.
The third part covers descriptive data analysis, interpolation and fitting, regression analysis, and optimization problem solving. Furthermore, this book provides links to over 200 examples of teaching videos and hands-on exercise resource files, enhancing readers' learning efficiency.
- Provides a structured approach in 'MATLAB Scientific Plotting and Data Analysis' that allows beginners to progressively master MATLAB
- Caters to the needs of intermediate and advanced users who want to enhance their MATLAB skills
- Includes many examples, ensuring that theoretical knowledge is applied to real-world problems
- Presents many detailed charts, showcasing not only the applications of data visualization but also scientific plotting and how it can be applied in practice
Scientific researchers and engineering professionals engaged in data visualization and data analysis
1. Basic Operations of MATLAB
1.1 Working Environment
1.2 Search Path
1.3 File Operations
1.4 Data Access
1.5 Help System
1.6 Summary
2. Data Types and Basic Operations
2.1 Data Types
2.2 Operators and Operations
2.3 Matrix Basics
2.4 Summary
3. Programming
3.1 Variables and Statements
3.2 Program Control
3.3 M-files
3.4 Summary
4. Figure Window Information
4.1 Figure Window
4.2 Block Diagram Layout
4.3 Subplot Layout
4.4 Axis Information
4.5 Adding Titles and Legends
4.6 Summary
5. 2D Plotting
5.1 Data-Based Plotting
5.2 Function Plotting
5.3 Graph Modifications
5.4 Special Coordinate Plots
5.5 Summary
6. 3D Plotting
6.1 3D Plotting
6.2 Mesh and Surface Plots
6.3 Control of 3D Graphs
6.4 Summary
7. Professional Plotting
7.1 Line Plots
7.2 Distribution Plots
7.3 Scatter and Parallel Coordinate Plots
7.4 Discrete Data Plots
7.5 Population Plot and Heatmaps
7.6 Summary
8. Handle Graphics Objects
8.1 Handle Graphics Object System
8.2 Basic Operations of Handle Graphics Objects
8.3 Setting Object Properties
8.4 Core Handle Graphics Objects
8.5 Axes Object
8.6 Summary
9. Descriptive Data Analysis
9.1 Basic Statistics
9.2 Skewness and Kurtosis
9.3 Statistical Data Visualization
9.4 Summary
10. Interpolation and Fitting
10.1 Data Interpolation
10.2 Curve Fitting
10.3 Summary
11. Regression Analysis
11.1 Univariate Polynomial Regression
11.2 Multivariate Linear Regression
11.3 Nonlinear Regression
11.4 Stepwise Regression
11.5 Summary
12. Optimization Problem Solving
12.1 Problem-Based Optimization
12.2 Solver-Based Optimization
12.3 Least Squares Optimal Problem
12.4 Summary References
1.1 Working Environment
1.2 Search Path
1.3 File Operations
1.4 Data Access
1.5 Help System
1.6 Summary
2. Data Types and Basic Operations
2.1 Data Types
2.2 Operators and Operations
2.3 Matrix Basics
2.4 Summary
3. Programming
3.1 Variables and Statements
3.2 Program Control
3.3 M-files
3.4 Summary
4. Figure Window Information
4.1 Figure Window
4.2 Block Diagram Layout
4.3 Subplot Layout
4.4 Axis Information
4.5 Adding Titles and Legends
4.6 Summary
5. 2D Plotting
5.1 Data-Based Plotting
5.2 Function Plotting
5.3 Graph Modifications
5.4 Special Coordinate Plots
5.5 Summary
6. 3D Plotting
6.1 3D Plotting
6.2 Mesh and Surface Plots
6.3 Control of 3D Graphs
6.4 Summary
7. Professional Plotting
7.1 Line Plots
7.2 Distribution Plots
7.3 Scatter and Parallel Coordinate Plots
7.4 Discrete Data Plots
7.5 Population Plot and Heatmaps
7.6 Summary
8. Handle Graphics Objects
8.1 Handle Graphics Object System
8.2 Basic Operations of Handle Graphics Objects
8.3 Setting Object Properties
8.4 Core Handle Graphics Objects
8.5 Axes Object
8.6 Summary
9. Descriptive Data Analysis
9.1 Basic Statistics
9.2 Skewness and Kurtosis
9.3 Statistical Data Visualization
9.4 Summary
10. Interpolation and Fitting
10.1 Data Interpolation
10.2 Curve Fitting
10.3 Summary
11. Regression Analysis
11.1 Univariate Polynomial Regression
11.2 Multivariate Linear Regression
11.3 Nonlinear Regression
11.4 Stepwise Regression
11.5 Summary
12. Optimization Problem Solving
12.1 Problem-Based Optimization
12.2 Solver-Based Optimization
12.3 Least Squares Optimal Problem
12.4 Summary References
- Edition: 1
- Published: July 21, 2025
- Imprint: Elsevier
- Language: English
JD
Jinbin Ding
Dr Jinbin Ding graduated from the University of Aeronautics and Astronautics in China, and now works at the Chinese Academy of Sciences. He is a senior engineer and a master's supervisor at the University of the Chinese Academy of Sciences, with nearly twenty years of experience in scientific research. He is currently involved in major national science and technology projects, and is proficient in various engineering applications and data analysis software. He has received honors such as the National Patent Award, the Beijing Patent Award, and the Special Award for Achievement Transformation from the Chinese Academy of Sciences
Affiliations and expertise
University of the Chinese Academy of Sciences