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OverviewThe 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. Full Product DetailsAuthor: Mark GardenerPublisher: Pelagic Publishing Imprint: Pelagic Publishing Dimensions: Width: 17.00cm , Height: 2.00cm , Length: 24.40cm Weight: 0.680kg ISBN: 9781784273385ISBN 10: 1784273384 Pages: 384 Publication Date: 23 May 2023 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: In Print  This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of Contents1. 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 IndexReviewsAuthor InformationMark Gardener is a self-employed scientist and consultant, with a PhD in ecology. He provides data analysis and consultancy across a wide range of disciplines. Mark specialises in the use of the R Project for Statistical Computing. Tab Content 6Author Website:Countries AvailableAll regions |
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