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Python data cleaning cookbook : modern techniques and Python tools to detect and remove dirty data and extract key insights by Walker, Michael is a book available to read on EtoBox.

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Discover how to describe your data in detail, identify data issues, and find out how to solve them using commonly used techniques and tips and tricks Key Features Get well-versed with various data cleaning techniques to reveal key insights Manipulate data of different complexities to shape them into the right form as per your business needs Clean, monitor, and validate large data volumes to diagnose problems before moving on to data analysis Book Description Getting clean data to reveal insights is essential, as directly jumping into data analysis without proper data cleaning may lead to incorrect results. This book shows you tools and techniques that you can apply to clean and handle data with Python. You'll begin by getting familiar with the shape of data by using practices that can be deployed routinely with most data sources. Then, the book teaches you how to manipulate data to get it into a useful form. You'll also learn how to filter and summarize data to gain insights and better understand what makes sense and what does not, along with discovering how to operate on data to address the issues you've identified. Moving on, you'll perform key tasks, such as handling missing val

Author

Walker, Michael

Publisher

Packt Publishing Limited

Published

2020

Language

EN

ISBN

9781800564596

Subjects

Science, Chemistry, Computer Science

Rating

4.6 / 5 (73 ratings)

Updated

2026-03-14