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R for Data Science Cover

R for Data Science

Learn and explore the fundamentals of data science with R

Publisher:Packt Publishing Limited
By: Dan Toomey  
Paid access
|Sep 2025
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Key Features

    Book Description

    If you are a data analyst who has a firm grip on some advanced data analysis techniques and wants to learn how to leverage the features of R, this is the book for you. You should have some basic knowledge of the R language and should know about some data science topics.

    What you will learn

    • Develop, execute, and modify R scripts
    • Learn how to use different data mining sequences
    • Find out how to organize your data effectively
    • Produce highquality data visualizations
    • Get to grips with a number of approaches to the statistical analysis of data
    • Learn how to cultivate a strategic approach to your data to use the right tools, models and visualizations to get the job done

    Who this book is for

    Table of Contents

    1. Data Mining Patterns
    2. Data Mining Sequences
    3. Text Mining
    4. Data Analysis ? Regression Analysis
    5. Data Analysis - Correlation
    6. Data Analysis - Clustering
    7. Data Visualization - R Graphics
    8. Data Visualization - Plotting
    9. Data Visualization - 3-D and Advanced Techniques
    10. Machine Learning In Action
    11. Predicting Events with Machine Learning
    12. Supervised and Unsupervised Learning
    PDF ISBN: 978-1-78439-265-9
    Publisher: Packt Publishing Limited
    Copyright owner: © 2014 Packt Publishing Limited
    Publication date: 2025
    Language: English
    Pages: 364

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