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Record Nr. |
UNINA9910493705803321 |
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Autore |
Moulik Tania |
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Titolo |
Applied data visualization with R and ggplot2 : Create useful, elaborate, and visually appealing plots / / Dr. Tania Moulik |
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Pubbl/distr/stampa |
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Birmingham, UK : , : Packt Publishing Ltd., , 2018 |
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ISBN |
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Edizione |
[1st edition] |
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Descrizione fisica |
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1 online resource (1 volume) : illustrations |
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Soggetti |
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Information visualization |
Visual analytics |
R (Computer program language) |
Charts, diagrams, etc - Computer programs |
Electronic books. |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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Develop informative and aesthetic visualizations that enable effective data analysis in less time Key Features Discover structure of ggplot2, grammar of graphics, and geometric objects Study how to design and implement visualization from scratch Explore the advantages of using advanced plots Book Description Applied Data Visualization with R and ggplot2 introduces you to the world of data visualization by taking you through the basic features of ggplot2. To start with, you'll learn how to set up the R environment, followed by getting insights into the grammar of graphics and geometric objects before you explore the plotting techniques. You'll discover what layers, scales, coordinates, and themes are, and study how you can use them to transform your data into aesthetical graphs. Once you've grasped the basics, you'll move on to studying simple plots such as histograms and advanced plots such as superimposing and density plots. You'll also get to grips with plotting trends, correlations, and statistical summaries. By the end of this book, you'll have created data visualizations that will impress your clients. What you will learn Set up the R environment, RStudio, and understand structure of ggplot2 Distinguish variables and use best |
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practices to visualize them Change visualization defaults to reveal more information about data Implement the grammar of graphics in ggplot2 such as scales and faceting Build complex and aesthetic visualizations with ggplot2 analysis methods Logically and systematically explore complex relationships Compare variables in a single visual, with advanced plotting methods Who this book is for Applied Data Visualization with R and ggplot2 is for you if you are a professional working with data and R. This book is also for students who want to enhance their data analysis skills by adding informative and professional visualizations. It is assumed that you know basics of the R language and its commands and objects. |
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2. |
Record Nr. |
UNINA9910220047803321 |
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Autore |
Sylvain Marcellini |
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Titolo |
Evolution of Organismal Form: From Regulatory Interactions to Developmental Processes and Biological Patterns |
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Pubbl/distr/stampa |
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Descrizione fisica |
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1 online resource (118 p.) |
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Collana |
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Frontiers Research Topics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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Today's biodiversity is the spectacular product of hundreds of millions of years of evolution. Understanding how this diversity of living organisms appeared is one of the most intriguing and challenging question in biology. Because organismal morphology is established during embryonic development, and because morphological traits diversified from ancestral forms during evolution, it can be inferred that changes in the mechanisms controlling embryonic development are instrumental for morphological evolution. This syllogism lies at the very heart of a new discipline called Evo-Devo which is centered in the identification of the cellular and genetic mechanisms that, through |
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modifications in developmental programmes, were at the base of morphological innovations during evolution. After the discovery of the broad conservation of gene content and regulatory networks in the animal kingdom, as well as in plants, Evo-Devo is orienting towards the study of differences through experimental and functional approaches. Given the wide range of species, gene families, and developmental processes considered, a concerted effort is still required to shed light on the genetic, cellular and molecular mechanisms involved in phenotypic evolution. It is a particularly exciting time for this field of evolutionary developmental biology, as the advent of novel imaging, genome editing and sequencing technologies allows the study of almost any organism in ways that were unthinkable only a few years ago. Therefore, the aim of this Frontiers Research Topic is to gather an original collection of experimental approaches, concepts and hypotheses reflecting the current diversity of the Evo-Devo field. We have organized the articles according to the mechanistic depth with which they tackle specific evolutionary issues. Hence, comparisons of expression patterns have been grouped in Chapter 1, changes in regulatory interactions and gene networks are presented in Chapter 2, while Chapter 3 focuses on the evolution of developmental processes and biological patterns. |
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