BasketballAnalyzeR is an R package developed by Marco Sandri, Paola Zuccolotto and Marica Manisera providing functions for basketball analystics. It will accompany the forthcoming book:

P. Zuccolotto and M. Manisera (2020) Basketball Data Science – With Applications in R, Chapman and Hall/CRC.

Supplementary material for the book

Codes for reproducing the case studies presented throughout the book with BasketballAnalyzeR – R code checked under R-3.5.3 for Windows (64 bit) and for Mac OS X 10.11

Download in pdf format

Download in R format

Overview of the book (Chapter Abstracts)

Authors have invested a lot of time and effort in creating this package. Please give credit and cite BasketballAnalyzeR when you use it for data analysis.

Suggested citations:


Download BibTeX citations for the book and the R package BasketballAnalyzeR

How to install BasketballAnalyzeR

Step 1 – Installing R
Step 2 – Installing BasketballAnalyzeR

There are two alternative procedures, that can be optionally chosen by the user.
Note that R must be run “as administrator”.



With BasketballAnalyzeR the following packages are automatically installed: ggplot2, hexbin, plyr, dplyr, tidyr, rlang, magrittr, ggrepel, gridExtra, scales, MASS, directlabels, corrplot, ggplotify, network, sna, dendextend, circlize, PBSmapping, sp, operators, stringr, GGally, statnet, common, ggnetwork, readr.

Data for exercises

All the data are in .Rdata format and can be used to reproduce the analyses presented in the book on other datasets

Supplementary code


See the most frequently asked questions

ERRATA CORRIGE of the book “Basketball Data Science”

See the errata corrige

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