Cleaning Data for Effective Data Science

Doing the other 80% of the work with Python, R, and command-line tools

Autori

• David Mertz

Parametri

Pagine

498pagine

Tempo di lettura

18ore

• Computer, IT, programmazione

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This guide equips data scientists with essential tools and techniques for effective data cleaning, emphasizing the importance of data quality in analysis. It covers various methods and best practices, providing practical insights to streamline the data preparation process. Readers will learn to tackle common data issues and enhance their analytical skills, making it an invaluable resource for anyone looking to improve their data management capabilities.

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Lingua: Inglese

Pubblicato: 2021

(In brossura)