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Cleaning data for effective data science : doing the other 80% of the work with Python, R, and command-line tools /

A comprehensive guide for data scientists to master effective data cleaning tools and techniques Key Features Master data cleaning techniques in a language-agnostic manner Learn from intriguing hands-on examples from numerous domains, such as biology, weather data, demographics, physics, time series...

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Detalles Bibliográficos
Clasificación:	Libro Electrónico
Autor principal:	Mertz, David (Autor)
Formato:	Electrónico eBook
Idioma:	Inglés
Publicado:	[S.l.] : Packt Publishing Limited, 2021.
Temas:	Python (Programming language). Computational biology > Methods. Database management. Data integrity. Python (Computer program language) R (Computer program language) Computational Biology > methods Data Analysis Data Accuracy Bases de données > Gestion. Intégrité des données. Python (Langage de programmation) R (Langage de programmation) Qualité des données. Database design & theory. Data capture & analysis. Mathematical theory of computation. Machine learning. Information architecture. Computers > Data Processing. Computers > Machine Theory. Computers > Data Modeling & Design. Computational biology. Fulltext. Internet Resources. Methods (Music)
Acceso en línea:	Texto completo (Requiere registro previo con correo institucional)

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