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Data science in R: a case studies approach to computational reasoning and problem solving

Effectively Access, Transform, Manipulate, Visualize, and Reason about Data and ComputationData Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving illustrates the details involved in solving real computational problems encountered in data analysis. It reveals the dy...

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Detalles Bibliográficos
Autores principales: Nolan, Deborah, Lang, Duncan Temple
Lenguaje:eng
Publicado: CRC Press 2015
Materias:
Acceso en línea:http://cds.cern.ch/record/2019140
Descripción
Sumario:Effectively Access, Transform, Manipulate, Visualize, and Reason about Data and ComputationData Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving illustrates the details involved in solving real computational problems encountered in data analysis. It reveals the dynamic and iterative process by which data analysts approach a problem and reason about different ways of implementing solutions. The book's collection of projects, comprehensive sample solutions, and follow-up exercises encompass practical topics pertaining to data processing, including: Non-standar