Mendel H. Introduction to Data Analytics with MatLAB

Mendel H., 2016. — 145 p. — ISBN: 1539439321After you import data into the MatLAB workspace, it is a good idea to plot the data so that you can explore its features. An exploratory plot of your data enables you to identify discontinuities and potential outliers, as well as the regions of interest.
The MatLAB figure window displays plots. See “Figures, Plots, and Graphs” for a full description of the figure window. It also discusses the various interactive tools available for editing and customizing MatLAB graphics.
This book initiates the reader into the techniques of data analysis with MatLAB. The major contents are as follows:
Data Processing
Importing and Exporting Data
Plotting Data
Missing Data
Representing Missing Data Values
Working with NaNs
Interpolating Missing Data
Inconsistent Data
Filtering Data
Detrending Data
Differencing Data
Interactive Data Exploration
Marking Up Graphs with Data Brushing
Making Graphs Responsive with Data Linking
Interacting with Graphed Data
Data Brushing with the Variables Editor
Using Data Tips to Explore Graphs
Descriptive Statistics
Functions for Calculating Descriptive Statistics
Regression Analysis
Linear Correlation
Linear Regression
Fitting Data with Curve Fitting Toolbox Functions
Interactive Fitting
Programmatic Fitting
MatLAB Functions for Polynomial Models
Linear Model with Nonpolynomial Terms
Multiple Regression
Time Series Analysis
Time Series Objects
Time Series Data Sample
Time Series Constructor
Time Series Tools
Importing and Exporting Data
Plotting Time Series
Selecting Data for Analysis
Editing Data, Time, Attributes, and Events
Processing and Manipulating Time Series