Cleaning Data for Effective Data Science: Doing the other 80% of the work with Python, R, and command-line tools

Author(s): David Mertz
Publisher: Packt Publishing - ebooks Account, Year: 2021

Description:
A comprehensive guide for data scientists to master effective data cleaning tools and techniques

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, and image processing

Work with detailed, commented, well-tested code samples in Python and R

It is something of a truism in data science, data analysis, or machine learning that most of the effort needed to achieve your actual purpose lies in cleaning your data. Written in David’s signature friendly and humorous style, this book discusses in detail the essential steps performed in every production data science or data analysis pipeline and prepares you for data visualization and modeling results.