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Book Synopsis

The Data Preparation Journey: Finding Your Way With R introduces the principles of data preparation within in a systematic approach that follows a typical data science or statistical workflow. With that context, readers will work through practical solutions to resolving problems in data using the statistical and data science programming language R. These solutions include examples of complex real-world data, adding greater context and exposing the reader to greater technical challenges. This book focuses on the Import to Tidy to Transform steps. It demonstrates how âœVisualiseâ is an important part of Exploratory Data Analysis, a strategy for identifying potential problems with the data prior to cleaning.

This book is designed for readers with a working knowledge of data manipulation functions in R or other programming languages. It is suitable for academics for whom analyzing data is crucial, businesses who make decisions based on the insights gleaned from collecting d

The Data Preparation Journey

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A Paperback by Martin Hugh Monkman

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    View other formats and editions of The Data Preparation Journey by Martin Hugh Monkman

    Publisher: CRC Press
    Publication Date: 5/7/2024
    ISBN13: 9781032189758, 978-1032189758
    ISBN10: 1032189754

    Description

    Book Synopsis

    The Data Preparation Journey: Finding Your Way With R introduces the principles of data preparation within in a systematic approach that follows a typical data science or statistical workflow. With that context, readers will work through practical solutions to resolving problems in data using the statistical and data science programming language R. These solutions include examples of complex real-world data, adding greater context and exposing the reader to greater technical challenges. This book focuses on the Import to Tidy to Transform steps. It demonstrates how âœVisualiseâ is an important part of Exploratory Data Analysis, a strategy for identifying potential problems with the data prior to cleaning.

    This book is designed for readers with a working knowledge of data manipulation functions in R or other programming languages. It is suitable for academics for whom analyzing data is crucial, businesses who make decisions based on the insights gleaned from collecting d

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