Data Science with MATLAB.

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This GitHub repository contains the datasets (in xlsx, csv, and mat format) and all the code with the examples and figures contained in the book:

Riani, M., Corbellini, A., Atkinson, A.C., Grossi, L., Laurini, F., Morelli, G., Perrotta, D. and Torti, F. (2025). Data Science with MATLAB, Giappicchelli Eds.

1. Index
2. Preface
3. Software and supporting material

All examples have been tested with MATLAB ver. 2025a, but are backward compatible with version 2022a.

The following links point to the resources of the chapter of interest (the name of the folder containing the files is shown in parentheses).

1. Introduction to using MATLAB and data management) (ch1Introduction)
2. Linear algebra (ch2Algebra)
3. Exploratory data analysis and pivot tables (ch3UnivariatePIvot)
4. Importing data from the web (in real time) (ch4Imports)
5. Random variables: density, distributions and parameter estimates (ch5Distributions)
6. Preliminary data treatments (ch6Preliminary)
7. The relationship between quantitative variables: correlation and co-gradation (ch7Correlation)
8. Graphical representations (ch8Plots)
9. Association (ch9Association)
10. Distances and similarity indices (ch10Distances)
11. Dimensionality reduction (ch11PCA)

Prerequisites:

Read this guide which illustrates the steps to have a correctly configured MATLAB environment to run the examples in the book.

To report typos, inaccuracies, and modifications, please use the Issues button... ... and create a new entry.