Learn R for applied statistics with data visualizations, regressions, and statistics

Gain the R programming language fundamentals for doing the applied statistics useful for data exploration and analysis in data science and data mining. This book covers topics ranging from R syntax basics, descriptive statistics, and data visualizations to inferential statistics and regressions. Aft...

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Detalles Bibliográficos
Autor principal:	Hui, Eric Goh Ming. author (author)
Formato:	Libro electrónico
Idioma:	Inglés
Publicado:	Berkeley, CA : Apress 2019.
Edición:	1st ed. 2019.
Materias:	Programming languages (Electronic computers). Big data. Mathematical statistics. Open source software. Computer programming. R (Computer program language). Programming Languages, Compilers, Interpreters. Big Data. Probability and Statistics in Computer Science. Open Source.
Ver en Biblioteca Universitat Ramon Llull:	https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630266006719

Tabla de Contenidos:

Chapter 1: Introduction
Chapter 2: Getting Started
Chapter 3: Basic
Chapter 4: Descriptive Statistics
Chapter 5: Data Visualizations
Chapter 6: Inferential Statistics and Regressions.

Learn R for applied statistics with data visualizations, regressions, and statistics

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