Codes<\/h4>\n
Codes for reproducing the case studies presented throughout the book with Codes (pdf format)<\/a><\/p>\n Codes (R format)<\/a><\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/td>\nBasketballAnalyzeR<\/code> – R code checked under R-3.5.3 for Windows (64 bit) and for Mac OS X 10.11<\/p>\n![\"\"](\"https:\/\/bodai.unibs.it\/bdsports\/wp-content\/uploads\/sites\/2\/2021\/03\/Basketball-Data-Science-199x300.jpg\")
<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\nAdditional datasets for exercises<\/h4>\n
\n
Pbox1819, Tbox1819, Obox1819, Tadd1819<\/code> having the same structure of\u00a0 Pbox, Tbox, Obox, Tadd<\/code>) – data in .Rdata<\/code> format, which can be used to reproduce the analyses presented in the book on other datasets<\/li>\nPbP.BDB.CLE<\/code> having the same structure of\u00a0 PbP.BDB<\/code>; note that the data frame has to be manipulated with PbP.CLE <- PbPmanipulation(PbP.BDB.CLE)<\/code> in order to obtain a file with the same structure of PbP<\/code>, as explained in Section 2.1 of the book). Data have been kindly made available by BigDataBall<\/a>, a data provider which leverages computer-vision technologies to richen and extend sports datasets with lots of unique metrics. Since its establishment, BigDataBall has also supported many academic studies and is referred as a reliable source of validated and verified stats for NBA, MLB, NFL and WNBA – data in .Rdata<\/code> format, which can be used to reproduce the analyses presented in the book on other datasets<\/li>\n.txt<\/code> format, which can be used to run additional examples, thanks to a dedicated R code (included in the compressed folder).<\/li>\n<\/ul>\n
\nTestimonials<\/h4>\n