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- EditorialLAP LAMBERT Academic Publishing
- Año de publicación2022
- ISBN 10 6205499150
- ISBN 13 9786205499153
- EncuadernaciónTapa blanda
- IdiomaInglés
- Número de páginas76
- Contacto del fabricanteno disponible
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R programming for Data Science for Absolute Beginners
Publicado por
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6205499150
ISBN 13: 9786205499153
Antiguo o usado
Tapa blanda
Librería: Buchpark, Trebbin, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: Hervorragend. Zustand: Hervorragend | Seiten: 76 | Sprache: Englisch | Produktart: Bücher. Nº de ref. del artículo: 40316790/1
Cantidad disponible: 2 disponibles
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R programming for Data Science for Absolute Beginners
Publicado por
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6205499150
ISBN 13: 9786205499153
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - According to the TIOBE Programming Language Popularity Index, interest in the R programming language has been steadily increasing. The trend may have an explanation in the face of past and future health crises related to COVID, but developers should be aware that this interest can be sustained in the long term. This prompted the creation of this R programming language handbook to statistical data processing.The R Foundation maintains R, a programming language and free software environment for statistical computing and graphics. The R programming language is widely used in the development of statistical software by statisticians and data analysts. Surveys, database and literature research, and other various studies all rely on the R programming language.More universities and research institutes are abandoning commercial statistical languages like SAS and Stata in favor of open source languages like Python and R, and there is a rise in the use of analytics in the scientific community in relation to COVID.The handbook contains practical examples that cover the entire statistical data analysis cycle, including data collection. Nº de ref. del artículo: 9786205499153
Cantidad disponible: 1 disponibles
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R programming for Data Science for Absolute Beginners
Publicado por
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6205499150
ISBN 13: 9786205499153
Nuevo
Tapa blanda
Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Balabanov TodorDr. Eng. Todor Balabanov is a researcher with scientific interests in the field of statistical engineering. Together with Dr. Krassimira Stoyanova, they performed experimental design in statistics through R language. Nº de ref. del artículo: 708590391
Cantidad disponible: Más de 20 disponibles
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R programming for Data Science for Absolute Beginners
Publicado por
LAP LAMBERT Academic Publishing Sep 2022, 2022
ISBN 10: 6205499150
ISBN 13: 9786205499153
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Neuware -According to the TIOBE Programming Language Popularity Index, interest in the R programming language has been steadily increasing. The trend may have an explanation in the face of past and future health crises related to COVID, but developers should be aware that this interest can be sustained in the long term. This prompted the creation of this R programming language handbook to statistical data processing.The R Foundation maintains R, a programming language and free software environment for statistical computing and graphics. The R programming language is widely used in the development of statistical software by statisticians and data analysts. Surveys, database and literature research, and other various studies all rely on the R programming language.More universities and research institutes are abandoning commercial statistical languages like SAS and Stata in favor of open source languages like Python and R, and there is a rise in the use of analytics in the scientific community in relation to COVID.The handbook contains practical examples that cover the entire statistical data analysis cycle, including data collection.Books on Demand GmbH, Überseering 33, 22297 Hamburg 76 pp. Englisch. Nº de ref. del artículo: 9786205499153
Cantidad disponible: 2 disponibles