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Cleaning Data for Effective Data Science
Doing the other 80% of the work with Python, R, and command-line tools
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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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Cleaning Data for Effective Data Science, David Mertz
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- Erscheinungsdatum
- 2021
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- (Paperback)
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