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paperback. Condizione: Very Good. Item may have minor cosmetic defects (such as marks, wears, cuts, bends, or crushes) on the cover, spine, pages, or dust cover. Shrink wrap, dust covers, or boxed set case may be missing. Item may contain remainder marks on outside edges. Item may be missing bundled media. Satisfaction guaranteed. Thank you.…

paperback. Condizione: Very Good. Item may have minor cosmetic defects (such as marks, wears, cuts, bends, or crushes) on the cover, spine, pages, or dust cover. Shrink wrap, dust covers, or boxed set case may be missing. Item may contain remainder marks on outside edges. Item may be missing bundled media. Satisfaction guaranteed. Thank you.…

Condizione: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Condizione: good. Gently used with light wear to the cover, corners, or spine. Pages are clean and free of writing or highlighting. Binding is tight and fully intact. Dust jacket included with hardcover books. Ships fast in a protective poly mailerâ"Monday through Friday, excluding weekends and holidays.…

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

Paperback. Condizione: New. Translate your data into info-graphics using popular packages in RAbout This Book. Use R's popular packages-such as ggplot2, ggvis, ggforce, and more-to create custom, interactive visualization solutions. Create, design, and build interactive dashboards using Shiny. A highly practical guide to help you get to grips with the basics of data visualization techniques, and how you can implement them using RWho This Book Is ForIf you are looking to create custom data visualization solutions using the R programming language and are stuck somewhere in the process, this book will come to your rescue. Prior exposure to packages such as ggplot2 would be useful but not necessary. However, some R programming knowledge is required.What You Will Learn. Get to know various data visualization libraries available in R to represent data. Generate elegant codes to craft graphics using ggplot2, ggvis and plotly. Add elements, text, animation, and colors to your plot to make sense of data. Deepen your knowledge by adding bar-charts, scatterplots, and time series plots using ggplot2. Build interactive dashboards using Shiny. Color specific map regions based on the values of a variable in your data frame. Create high-quality journal-publishable scatterplots. Create and design various three-dimensional and multivariate plotsIn DetailR is an open source language for data analysis and graphics that allows users to load various packages for effective and better data interpretation. Its popularity has soared in recent years because of its powerful capabilities when it comes to turning different kinds of data into intuitive visualization solutions.This book is an update to our earlier R data visualization cookbook with 100 percent fresh content and covering all the cutting edge R data visualization tools. This book is packed with practical recipes, designed to provide you with all the guidance needed to get to grips with data visualization using R. It starts off with the basics of ggplot2, ggvis, and plotly visualization packages, along with an introduction to creating maps and customizing them, before progressively taking you through various ggplot2 extensions, such as ggforce, ggrepel, and gganimate. Using real-world datasets, you will analyze and visualize your data as histograms, bar graphs, and scatterplots, and customize your plots with various themes and coloring options. The book also covers advanced visualization aspects such as creating interactive dashboards using ShinyBy the end of the book, you will be equipped with key techniques to create impressive data visualizations with professional efficiency and precision.Style and approachThis book is packed with practical recipes, designed to provide you with all the guidance needed to get to grips with data visualization with R. You will learn to leverage the power of R and ggplot2 to create highly customizable data visualizations of varying complexities. The readers will then learn how to create, design, and build i.…

Condizione: As New. Unread book in perfect condition.

Paperback. Condizione: New.

Condizione: New. pp. 334.

Condizione: New.

Condizione: New. In English.

Paperback. Condizione: New. A hands-on guide for professionals to perform various data science tasks in RKey FeaturesExplore the popular R packages for data scienceUse R for efficient data mining, text analytics and feature engineeringBecome a thorough data science professional with the help of hands-on examples and use-cases in RBook DescriptionR is the most widely used programming language, and when used in association with data science, this powerful combination will solve the complexities involved with unstructured datasets in the real world. This book covers the entire data science ecosystem for aspiring data scientists, right from zero to a level where you are confident enough to get hands-on with real-world data science problems.The book starts with an introduction to data science and introduces readers to popular R libraries for executing data science routine tasks. This book covers all the important processes in data science such as data gathering, cleaning data, and then uncovering patterns from it. You will explore algorithms such as machine learning algorithms, predictive analytical models, and finally deep learning algorithms. You will learn to run the most powerful visualization packages available in R so as to ensure that you can easily derive insights from your data.Towards the end, you will also learn how to integrate R with Spark and Hadoop and perform large-scale data analytics without much complexity.What you will learnUnderstand the R programming language and its ecosystem of packages for data scienceObtain and clean your data before processingMaster essential exploratory techniques for summarizing dataExamine various machine learning prediction, modelsExplore the H2O analytics platform in R for deep learningApply data mining techniques to available datasetsWork with interactive visualization packages in RIntegrate R with Spark and Hadoop for large-scale data analyticsWho this book is forIf you are a data analyst, data engineer, statistician or an R programmer and aspiring to enter the field of machine learning and predictive analytics, then this is the right book to start your journey. Basic understanding of linear algebra/statistics would be beneficial and R programming would be required.…

Condizione: As New. Unread book in perfect condition.

Paperback. Condizione: New.

Condizione: New.

Condizione: New. In English.

Condizione: New. pp. 420.

Condizione: As New. Unread book in perfect condition.

Paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Paperback. Condizione: New. Translate your data into info-graphics using popular packages in RAbout This Book. Use R's popular packages-such as ggplot2, ggvis, ggforce, and more-to create custom, interactive visualization solutions. Create, design, and build interactive dashboards using Shiny. A highly practical guide to help you get to grips with the basics of data visualization techniques, and how you can implement them using RWho This Book Is ForIf you are looking to create custom data visualization solutions using the R programming language and are stuck somewhere in the process, this book will come to your rescue. Prior exposure to packages such as ggplot2 would be useful but not necessary. However, some R programming knowledge is required.What You Will Learn. Get to know various data visualization libraries available in R to represent data. Generate elegant codes to craft graphics using ggplot2, ggvis and plotly. Add elements, text, animation, and colors to your plot to make sense of data. Deepen your knowledge by adding bar-charts, scatterplots, and time series plots using ggplot2. Build interactive dashboards using Shiny. Color specific map regions based on the values of a variable in your data frame. Create high-quality journal-publishable scatterplots. Create and design various three-dimensional and multivariate plotsIn DetailR is an open source language for data analysis and graphics that allows users to load various packages for effective and better data interpretation. Its popularity has soared in recent years because of its powerful capabilities when it comes to turning different kinds of data into intuitive visualization solutions.This book is an update to our earlier R data visualization cookbook with 100 percent fresh content and covering all the cutting edge R data visualization tools. This book is packed with practical recipes, designed to provide you with all the guidance needed to get to grips with data visualization using R. It starts off with the basics of ggplot2, ggvis, and plotly visualization packages, along with an introduction to creating maps and customizing them, before progressively taking you through various ggplot2 extensions, such as ggforce, ggrepel, and gganimate. Using real-world datasets, you will analyze and visualize your data as histograms, bar graphs, and scatterplots, and customize your plots with various themes and coloring options. The book also covers advanced visualization aspects such as creating interactive dashboards using ShinyBy the end of the book, you will be equipped with key techniques to create impressive data visualizations with professional efficiency and precision.Style and approachThis book is packed with practical recipes, designed to provide you with all the guidance needed to get to grips with data visualization with R. You will learn to leverage the power of R and ggplot2 to create highly customizable data visualizations of varying complexities. The readers will then learn how to create, design, and build i.…

Paperback. Condizione: New. A hands-on guide for professionals to perform various data science tasks in RKey FeaturesExplore the popular R packages for data scienceUse R for efficient data mining, text analytics and feature engineeringBecome a thorough data science professional with the help of hands-on examples and use-cases in RBook DescriptionR is the most widely used programming language, and when used in association with data science, this powerful combination will solve the complexities involved with unstructured datasets in the real world. This book covers the entire data science ecosystem for aspiring data scientists, right from zero to a level where you are confident enough to get hands-on with real-world data science problems.The book starts with an introduction to data science and introduces readers to popular R libraries for executing data science routine tasks. This book covers all the important processes in data science such as data gathering, cleaning data, and then uncovering patterns from it. You will explore algorithms such as machine learning algorithms, predictive analytical models, and finally deep learning algorithms. You will learn to run the most powerful visualization packages available in R so as to ensure that you can easily derive insights from your data.Towards the end, you will also learn how to integrate R with Spark and Hadoop and perform large-scale data analytics without much complexity.What you will learnUnderstand the R programming language and its ecosystem of packages for data scienceObtain and clean your data before processingMaster essential exploratory techniques for summarizing dataExamine various machine learning prediction, modelsExplore the H2O analytics platform in R for deep learningApply data mining techniques to available datasetsWork with interactive visualization packages in RIntegrate R with Spark and Hadoop for large-scale data analyticsWho this book is forIf you are a data analyst, data engineer, statistician or an R programmer and aspiring to enter the field of machine learning and predictive analytics, then this is the right book to start your journey. Basic understanding of linear algebra/statistics would be beneficial and R programming would be required.…

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condizione: New. Print on Demand pp. 334.

Condizione: New. PRINT ON DEMAND pp. 334.

Paperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.