Practical Data Wrangling by Allan Visochek

Requirements: .ePUB reader, 6 MB
Overview: An easy to follow guide taking you through every step of the data wrangling process in the best possible way
Work with different types of datasets, and reshape the layout of your data to make it easier for analysis
Simple examples and real-life data wrangling solutions for data pre-processing
Book Description
Around 80% of time in data analysis is spent on cleaning and preparing data for analysis. This is, however, and important task, and is a prerequisite to the rest of the data analysis workflow, including visualization, analysis and reporting. Python and R are considered a popular choice of tool for data analysis, and have packages which can be best used to manipulate different kinds of data, as per your requirement. This book will show you the different data wrangling techniques, and how you can leverage the power of Python and R packages to implement them.


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