Introducción a la ciencia de datos en R. Un enfoque práctico

dc.contributor.authorPérez Castillo, José Nelson
dc.contributor.orcidPérez Castillo, José Nelson [0000-0001-8153-3113]spa
dc.date.accessioned2023-09-27T15:06:41Z
dc.date.available2023-09-27T15:06:41Z
dc.date.created2020-05
dc.descriptionEste libro busca que el lector adquiera la capacidad de utilizar las técnicas y herramientas propias de lo que hoy se conoce como ciencia de datos, teniendo como propósito resolver problemas que involucren diversas fuentes de datos, tanto estructurados como no estructurados, dotándolo de la capacidad de generar valor y diferenciación a las organizaciones a partir del análisis de sus conjuntos de datos. Busca, además, presentar, analizar y utilizar las oportunidades de innovación que ofrece la ciencia de datos en la toma de decisiones estratégicas y tácticas de una organización en el desarrollo de aplicaciones en diferentes campos del conocimiento, adoptando la plataforma R como alternativa especial para abordarlas.spa
dc.description.abstractThis book seeks for the reader to acquire the ability to use the techniques and tools of what is known today as data science, with the purpose of solving problems that involve various sources of data, both structured and unstructured, providing the reader with the ability to generate value and differentiation for organizations from the analysis of their data sets. It also seeks to present, analyze and use the innovation opportunities offered by data science in the strategic and tactical decision making of an organization in the development of applications in different fields of knowledge, adopting the R platform as a special alternative to address them.spa
dc.description.cityBogotáspa
dc.format.mimetypepdfspa
dc.identifier.editorialUniversidad Distrital Francisco José de Caldas. Centro de Investigaciones y Desarrollo Científicospa
dc.identifier.isbn978-958-787-171-5spa
dc.identifier.urihttp://hdl.handle.net/11349/32324
dc.relation.ispartofseriesEspaciosspa
dc.relation.referencesJ. Leskovec, A. Rajaraman y J. Ullma, Mining of Massive Datasets. Second Edition: Cambridge University Press, 2014. [En línea]. Disponible en: https://stanford. io/2NXweOP ^3,5,7,12spa
dc.relation.referencesJ. Ledolter, Data Mining and Business Analytics with R. New Jersey: John Wiley & Sons, 2013. [En línea]. Disponible en: https://stanford.io/2NXweOP ^4,6,10spa
dc.relation.referencesW. L. Martinez, A. R. Martinez y J. L. Solka, Exploratory Data Analysis with MATLAB. Third Edition, Boca Ratón Florida: Editorial CRC Press Taylor & Francis Group, 2017. [En línea]. Disponible en: http://bit.ly/32udycH ^4spa
dc.relation.referencesE. Mayor, Learning Predictive Analytics with R. Packt Publishing, 2015. [En línea]. Disponible en: http://bit.ly/2G8RFpJspa
dc.relation.referencesM. Pathak, Beginning Data Science with R. Springer International Publishing, 2014. [En línea]. Disponible en: http://bit.ly/2XT0bPA ^6,8spa
dc.relation.referencesJ. J. Berman, Principles of Big Data: Preparing, sharing and analyzing complex information. Second edition: Academic Press, 2013. [En línea]. Disponible en: https:// amzn.to/2SgS8ee ^15spa
dc.relation.referencesG. J. Myatt y W. P. Johnson, Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining. Second Edition: John Wiley and Sons Inc, 2014. [En línea]. Disponible en: https://amzn.to/2GeYIwYspa
dc.relation.referencesN. Sawant y H. Shah, Big Data Application Architecture Q&A. A Problem-Solution Approach. Apress, 2013. [En línea]. Disponible en: https://amzn.to/2NWolsYspa
dc.relation.referencesJ. Janssens, Data Science at the Command Line. O’Reilly Media Inc., 2015. [En línea]. Disponible en: http://bit.ly/2xNiNGb ^6spa
dc.relation.referencesD. Feinleib, Big Data Bootcamp. Apress, 2013spa
dc.relation.referencesP. Warden, Big Data Glossary. O’Reilly Media Inc., 2011. [En línea]. Disponible en: http://bit.ly/2YWLCfospa
dc.relation.referencesO’Reilly Media, Inc. Big Data Now. O’Reilly Media Inc., Edition 2016. [En línea]. Disponible en: https://oreil.ly/2XOMCkh ^17spa
dc.relation.referencesO’Reilly Media, Inc. Big Data Now: 2015 Edition, O’Reilly Media Inc., 2015.spa
dc.relation.referencesO’Reilly Media, Inc. Big Data Now: 2014 Edition, O’Reilly Media Inc., 2014.spa
dc.relation.referencesO’Reilly Media, Inc. Big Data Now: 2013 Edition, O’Reilly Media Inc., 2013.spa
dc.relation.referencesO’Reilly Media, Inc. Big Data Now: O’Reilly Media Inc., Edition, 2012. [En línea]. Disponible en: https://oreil.ly/2GhdyDo ^17spa
dc.relation.referencesR. Jurney, Agile Data Science. O’Reilly Media Inc., 2014. [En línea]. Disponible en: http://bit.ly/2LViQrJ ^13spa
dc.relation.referencesG. J. Myatt y W. P. Johnson, Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining. Second Edition. New Jersey: John Wiley and Sons Inc., 2014. [En línea]. Disponible en: http://bit.ly/30yuooJspa
dc.relation.referencesM. J. Crawley, Statistics: An introduction using R. Second Edition, London: John Wiley & Sons Inc., 2015. [En línea]. Disponible en: http://bit.ly/2YUxfrFspa
dc.relation.referencesP. Dalgaard, Introductory Statistics with R. Second Edition, Springer, 2008. [En línea]. Disponible en: http://bit.ly/30yYw3kspa
dc.relation.referencesT. Hothorn y B. S. Everitt, A Handbook of Statistical Analyses Using R. 3rd Edition, New York: Chapma and Hall / CRC Press, 2014. [En línea]. Disponible en: http://bit.ly/2SiabRfspa
dc.relation.referencesD. Nolan y D. Temple Lang, Data Science in R: a Case Studies Approach to Computational Reasoning and Problem Solving. Boca Ratón Florida: Taylor & Francis Group / CRC Press, 2015. [En línea]. Disponible en: https://amzn.to/32umleHspa
dc.relation.referencesA. B. Downey, Think Stats. Exploratory Data Analysis. Second Edition, USA Highway Sebastopol, CA: O’Reilly Media Inc. 2015. [En línea]. Disponible en: https://amzn.to/2LVjh5gspa
dc.relation.referencesS. Stowell, Using R for Statistics. Apress, 2014. [En línea]. Disponible en: https:// amzn.to/2XGIoQxspa
dc.relation.referencesJ. M. Quick, Statistical Analysis with R. Beginner’s Guide. Packt Publishing, 2010. [En línea]. Disponible en: https://amzn.to/2XM3soMspa
dc.relation.referencesA. Reinhart, Statistics Done Wrong. The Woefully Complete Guide. San Francisco, CA: No Starch Press, Inc., 2015. [En línea]. Disponible en: https://amzn. to/2JBh6lTspa
dc.relation.referencesS. Boslaugh y P.A. Watters, Statistics In A Nutshell. O’Reilly Media Inc., 2008. [En línea]. Disponible en: http://bit.ly/2Yan8Sqspa
dc.relation.referencesA. Mood, F. A. Graybill y D. Boes, Introduction to the Theory of Statistics. Third Edition, McGraw Hill. 1974. [En línea]. Disponible en: https://amzn.to/32v5MPKspa
dc.relation.referencesG. J. Myatt y W. P. Johnson, Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining. Second Edition. New Jersey: John Wiley and Sons Inc., 2014. [En línea]. Disponible en: https://amzn.to/2Gclztespa
dc.relation.referencesM. J. Crawley, Statistics: An introduction using R. Second Edition, John Wiley and Sons Inc., 2015. [En línea]. Disponible en: http://bit.ly/2JLUuhispa
dc.relation.referencesR. I. Kabacoff, R in Action. Second Edition, Manning Publications Co., 2015. [En línea]. Disponible en: http://bit.ly/2LVVkuOspa
dc.relation.referencesP. Dalgaard, Introductory Statistics with R. Second Edition, New York: Springer, 2008. [En línea]. Disponible en: http://bit.ly/30yYw3kspa
dc.relation.referencesB. S. Everitt and T. Hothorn, A Handbook of Statistical Analyses Using R. Second Edition, CRC Press, 2010. [En línea]. Disponible en: http://bit.ly/2XZoPlRspa
dc.relation.referencesD. Nolan and D. Temple Lang, Data Science in R: a Case Studies Approach to Computational Reasoning and Problem Solving. 1st Edition, CRC Press, 2015. [En línea]. Disponible en: http://bit.ly/30wsYewspa
dc.relation.referencesA. B. Downey, Think Stats. Exploratory Data Analysis. O’Reilly Media Inc. 2015. [En línea]. Disponible en: https://amzn.to/2LVjh5gspa
dc.relation.referencesS. Stowell, Using R for Statistics. Apress, 2014. [En línea]. Disponible en: http:// bit.ly/2YUXeiG[9]spa
dc.relation.referencesJ. M. Quick, Statistical Analysis with R. Beginner’s Guide. Packt Publishing, 2010. [En línea]. Disponible en https://amzn.to/2XM3soMspa
dc.relation.referencesR Core Team, R: A Language and Environment for Statistical Computing. Viena: R Foundation for Statistical Computing, 2014. [En línea]. Disponible en http:// www.r-project.orgspa
dc.relation.referencesM. J. Crawley, “Statistics: An introduction using R”, Journal of Statistical Software. Vol. 67, no. 5, 2nd Edition, John Wiley and Sons Inc, pp. 1-4, 2015.spa
dc.relation.referencesP. Dalgaard, Introductory Statistics with R, Second Edition, Springer, 2008. [En línea]. Disponible en: http://www.academia.dk/BiologiskAntropologi/Epidemiologi/PDF/Introductory_Statistics_with_R__2nd_ed.pdfspa
dc.relation.referencesS. Munzert, C. Rubba, P. Meissner y D. Nyhuis, Automated Data Collection with R: A Practical Guide to Web Scraping and Text Mining. [En línea]. Disponible en: https://www.wiley.com/en-co/Automated+Data+Collection+with+R:+A+Pr actical+Guide+to+Web+Scraping+and+Text+Mining-p-9781118834817spa
dc.relation.referencesD. Nolan and D. Temple Lang, Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving, CRC Press, 2015. [En línea]. Disponible en: https://www.crcpress.com/Data-Science-in-R-A-Case-Studies-Approachto-Computational-Reasoning-and/Nolan-Lang/p/book/9781482234817spa
dc.relation.referencesS. Stowell, Using R for Statistics. Apress, 2014. [En línea]. Disponible en: https:// www.apress.com/gp/book/9781484201404spa
dc.relation.referencesJ. M. Quick, Statistical Analysis with R. Beginner’s Guide. Packt Publishing, 2010. [En línea]. Disponible en: https://www.amazon.com/Statistical-Analysis-John-M-Quick/dp/1849512086spa
dc.relation.referencesJ. E. Friedl, Mastering Regular Expressions. Third Edición, O’ Reilly, 2006. [En línea]. Disponible en: https://doc.lagout.org/programmation/Regular%20 Expressions/Mastering%20Regular%20Expressions_%20Understand%20 Your%20Data%20and%20Be%20More%20Productive%20%283rd%20 ed.%29%20%5BFriedl%202006-08-18%5D.pdfspa
dc.relation.referencesJ. Ooms, D. James, S. DebRoy, H. Wickman y J. Horner, RMySQL: Database Interface and ’MySQL’ driver for R. R package version 0.10.11, 2017. [En línea]. Disponible en: https://cran.rproject.org/package=RMySQLspa
dc.relation.referencesK. Muller, J. Ooms, D. James, S. DebRoy, H. Wickman, J. Horner, RStudio, and K. Hogskolan. RMariaDB: Database Interface and MariaDB Driver, R package version 1.0-2, May 6, 2018.spa
dc.relation.referencesS. Urbanek, RJDBC: Provides access to databases through the JDBC interface. R package version 0.2-5, 2014. [En línea]. Disponible en https://cran.r-project.org/ package=RJDBCspa
dc.relation.referencesB. Ripley and M. Lapsley, ODBC Database Access. Package ‘RODBC’version 1.3-15, 2017. [En línea]. Disponible en: https://cran.r-project.org/package=RODBCspa
dc.relation.referencesD. Mukhin, D. A. James and J. Luciani, ROracle: OCI Based Oracle Database Interface for R. R package version 1.3-1, 2016. [En línea]. Disponible en: https://cran. rproject.org/package=ROracle.spa
dc.relation.referencesA. Collier, feedeR: Read RSS/Atom Feeds from R. R package version 0.0.7, 2016. [En línea]. Disponible en: https://cran.r-project.org/package=feedeRspa
dc.relation.referencesB. Lantz, Machine Learning with R. 2nd Edition. UK. Birmingham: Packt Publishing, 2013. [En línea]. Disponible en: http://bit.ly/2JyjycMspa
dc.relation.referencesR. I. Kabacoff, R in Action. Second Edition, Manning Publications Co., 2015. [En línea]. Disponible en: http://bit.ly/2LVVkuOspa
dc.relation.referencesE. Mayor, Learning Predictive Analytics with R. Packt Publishing, 2015. [En línea]. Disponible en: https://amzn.to/2JBlzVPspa
dc.relation.referencesJ. Ledolter, Data Mining and Business Analytics with R. New Jersey: John Wiley Sons, 2013. [En línea]. Disponible en: http://bit.ly/2XQyszdspa
dc.relation.referencesN. Zumel and J. Mount, Practical Data Science with R. Manning Publications Co., 2014. [En línea]. Disponible en: http://bit.ly/2XO0M5espa
dc.relation.referencesR. Kabacoff, R in Action. Second Edition, Manning Publications Co., 2015. [En línea]. Disponible en: https://www.manning.com/books/r-in-action-second-editionspa
dc.relation.referencesE. Mayor, Learning Predictive Analytics with R. Packt Publishing, 2015. [En línea]. Disponible en: https://www.amazon.in/Learning-Predictive-Analytics-EricMayor/dp/1782169350spa
dc.relation.referencesJ. Ledolter, Data Mining and Business Analytics with R. John Wiley Sons, 2013. [En línea]. Disponible en: http://bit.ly/2XQyszdspa
dc.relation.referencesN. Zumel and J. Mount, Practical Data Science with R, Manning Publications Co., 2014. [En línea]. Disponible en: https://www.manning.com/books/practicaldata-science-with-rspa
dc.relation.referencesM. Hasler, C. Buchta, B. Gruen, K. Hornik, I. Johnson and C. Borgelt. arules: Mining Association Rules and Frequent Itemsets, R package version 1.6-1, 2016. Disponible en [En línea]. Disponible en: https://www.rdocumentation.org/packages/arules/versions/1.6-3spa
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.accesoAbierto (Texto Completo)spa
dc.rights.accessrightsOpenAccessspa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectCiencia de datosspa
dc.subjectMinería de datosspa
dc.subjectEstadísticaspa
dc.subjectAnálisis estadísticospa
dc.subjectPlataforma Rspa
dc.subject.keywordData sciencespa
dc.subject.keywordData miningspa
dc.subject.keywordStatisticsspa
dc.subject.keywordStatistic analysisspa
dc.subject.keywordR Platformspa
dc.subject.lembR (Sistema para análisis estadísticos y gráficos) -- Estudio de casosspa
dc.subject.lembAnálisis de datosspa
dc.subject.lembEstadística -- Fundamentosspa
dc.subject.lembMinería de datosspa
dc.titleIntroducción a la ciencia de datos en R. Un enfoque prácticospa
dc.title.alternativeUn enfoque prácticospa
dc.title.titleenglishIntroduction to data science in R. A practical approachspa
dc.typebookspa
dc.type.coarhttp://purl.org/coar/resource_type/c_2f33
dc.type.driverinfo:eu-repo/semantics/book

Archivos

Bloque original

Mostrando 1 - 1 de 1
Cargando...
Miniatura
Nombre:
Introducción de datos en R.pdf
Tamaño:
20.08 MB
Formato:
Adobe Portable Document Format
Descripción:

Bloque de licencias

Mostrando 1 - 1 de 1
No hay miniatura disponible
Nombre:
license.txt
Tamaño:
7 KB
Formato:
Item-specific license agreed upon to submission
Descripción: