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    An Introduction to R - Data Analysis and Visualization

    €44,26
    • Inclusief 9% btw: €44,26
    • Exclusief btw: €40,61
    0 Op voorraad: 3-6 weken
    Useful for beginners and also as a reference for more seasoned veterans.
    Plenty of examples throughout, as well as additional notes and tips.
    Chapter summaries in concise table format help the book to be used as an ongoing reference work.... Toon meer
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    Productomschrijving

    AuteurMark Gardener
    TaalEngels
    ISBN9781784273385
    UitgeverPelagic Publishing
    Pagina's384
    BindwijzePaperback
    AfbeeldingenFiguren en tabellen
    Jaar van uitgave  2023

    The modern world is awash with data. The R Project is a statistical environment and programming language that can help to make sense of it all. A huge open-source project, R has become enormously popular because of its power and flexibility. With R you can organise, analyse and visualise data. This clear and methodical book will help you learn how to use R from the ground up, giving you a start in the world of data science.

    Learning about data is important in many academic and business settings, and R offers a potent and adaptable programming toolbox. The book covers a range of topics, including: importing/exporting data, summarising data, visualising data, managing and manipulating data objects, data analysis (regression, ANOVA and association among others) and programming functions. Regardless of your background or specialty, you'll find this book the perfect primer on data analysis, data visualisation and data management, and a springboard for further exploration.

    Table of Contents

    1. A brief introduction to R
    2. Basic math
    3. Introduction to R objects
    4. Making and importing data objects
    5. Managing and exporting data objects
    6. R object types and their properties
    7. Working with data objects
    8. Manipulating data objects
    9. Summarizing data
    10. Tabulation
    11. Graphics: basic charts
    12. Graphics: adding to plots
    13. Graphics: advanced methods
    14. Analyze data: statistical analyses
    15. Programming tools
    Appendix
    Index

    Specificaties

    Artikelnummer
    9781784273385
    EAN
    9781784273385

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