João Carlos Ferreira de Almeida Casaleiro; Luís Augusto Bica Gomes Oliveira; Igor M. Filanovsky Springer Nature Switzerland AG (2018) Kovakantinen kirja
Juan Carlos Figueroa-García; Eduyn Ramiro Lopez-Santana; José Luis Villa-Ramírez; Roberto Ferro-Escobar Springer International Publishing AG (2017) Pehmeäkantinen kirja
Anne Auger; Carlos M. Fonseca; Nuno Lourenço; Penousal Machado; Luís Paquete; Darrell Whitley Springer International Publishing AG (2018) Pehmeäkantinen kirja
Anne Auger; Carlos M. Fonseca; Nuno Lourenço; Penousal Machado; Luís Paquete; Darrell Whitley Springer International Publishing AG (2018) Pehmeäkantinen kirja
Enrique Carlos Bianchi (ed.); Jose Luis Vazquez Burguete (ed.); M. Mercedes Galan-Ladero (ed.); Ana Lanero Carrizo (ed.) Springer (2023) Kovakantinen kirja
Juan Carlos Figueroa-García (ed.); German Hernández (ed.); Jose Luis Villa Ramirez (ed.); Elvis Eduardo Gaona García (ed.) Springer (2023) Pehmeäkantinen kirja
Springer Sivumäärä: 276 sivua Asu: Pehmeäkantinen kirja Julkaisuvuosi: 2020, 28.07.2020 (lisätietoa) Kieli: Englanti Tuotesarja:Use R!
This textbook offers an easy-to-follow, practical guide to modern data analysis using the programming language R. The chapters cover topics such as the fundamentals of programming in R, data collection and preprocessing, including web scraping, data visualization, and statistical methods, including multivariate analysis, and feature exercises at the end of each section. The text requires only basic statistics skills, as it strikes a balance between statistical and mathematical understanding and implementation in R, with a special emphasis on reproducible examples and real-world applications. This textbook is primarily intended for undergraduate students of mathematics, statistics, physics, economics, finance and business who are pursuing a career in data analytics. It will be equally valuable for master students of data science and industry professionals who want to conduct data analyses.
