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:
Computing and Computers
Acceso en línea:http://cds.cern.ch/record/2019140
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author Nolan, Deborah
Lang, Duncan Temple
author_facet Nolan, Deborah
Lang, Duncan Temple
author_sort Nolan, Deborah
collection CERN
description 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
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institution Organización Europea para la Investigación Nuclear
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spelling cern-20191402021-04-21T20:18:17Zhttp://cds.cern.ch/record/2019140engNolan, DeborahLang, Duncan TempleData science in R: a case studies approach to computational reasoning and problem solvingComputing and ComputersEffectively 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-standarCRC Pressoai:cds.cern.ch:20191402015
spellingShingle Computing and Computers
Nolan, Deborah
Lang, Duncan Temple
Data science in R: a case studies approach to computational reasoning and problem solving
title Data science in R: a case studies approach to computational reasoning and problem solving
title_full Data science in R: a case studies approach to computational reasoning and problem solving
title_fullStr Data science in R: a case studies approach to computational reasoning and problem solving
title_full_unstemmed Data science in R: a case studies approach to computational reasoning and problem solving
title_short Data science in R: a case studies approach to computational reasoning and problem solving
title_sort data science in r: a case studies approach to computational reasoning and problem solving
topic Computing and Computers
url http://cds.cern.ch/record/2019140
work_keys_str_mv AT nolandeborah datascienceinracasestudiesapproachtocomputationalreasoningandproblemsolving
AT langduncantemple datascienceinracasestudiesapproachtocomputationalreasoningandproblemsolving

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