Beginning data science in R : data analysis, visualization, and modelling for the data scientist /: data analysis, visualization, and modelling for the data scientist. ([2017])

• Record Type: Book
• Further Information: Note: Thomas Mailund.
• Authors: Mailund, Thomas
• Contents: Introduction to R programming -- Reproducible analysis -- Data manipulation -- Visualizing data -- Working with large datasets -- Supervised learning -- Unsupervised learning -- More R programming -- Advanced R programming -- Object oriented programming -- Building an R package -- Testing and package checking -- Version control -- Profiling and optimizing.
• Publisher Details: New York : Apress
• Publication Date: 2017
• Copyright Date: 2017
• Extent: 1 online resource (xxvii, 352 pages), illustrations
• Subjects: 001.42; Computer science; Quantitative research; REFERENCE -- Questions & Answers; Quantitative research; Computer Science; Data Mining and Knowledge Discovery; Big Data; Programming Languages, Compilers, Interpreters; Data-driven Science, Modeling and Theory Building; Programming Techniques; Computers -- Programming Languages -- General; Programming & scripting languages: general; Big data; Computers -- Database Management -- General; Databases; Electronic books
• Languages: English
• ISBNs: 9781484226711; 1484226712
• Related ISBNs: 9781484226704; 1484226704
• Notes: Note: Includes bibliographical references and index.; Note: Description based on print version record.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.