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| evolution in action: data analysis: The Beak of the Finch Jonathan Weiner, 2014-05-14 PULITZER PRIZE WINNER • A dramatic story of groundbreaking scientific research of Darwin's discovery of evolution that spark[s] not just the intellect, but the imagination (Washington Post Book World). “Admirable and much-needed.... Weiner’s triumph is to reveal how evolution and science work, and to let them speak clearly for themselves.”—The New York Times Book Review On a desert island in the heart of the Galapagos archipelago, where Darwin received his first inklings of the theory of evolution, two scientists, Peter and Rosemary Grant, have spent twenty years proving that Darwin did not know the strength of his own theory. For among the finches of Daphne Major, natural selection is neither rare nor slow: it is taking place by the hour, and we can watch. In this remarkable story, Jonathan Weiner follows these scientists as they watch Darwin's finches and come up with a new understanding of life itself. The Beak of the Finch is an elegantly written and compelling masterpiece of theory and explication in the tradition of Stephen Jay Gould. |
| evolution in action: data analysis: Evolution in Action Matthias Glaubrecht, 2010-07-24 Radiations, or Evolution in Action We have just celebrated the “Darwin Year” with the double anniversary of his 200th birthday and 150th year of his masterpiece, “On the Origin of Species by means of Natural Selection”. In this work, Darwin established the factual evidence of biological evolution, that species change over time, and that new organisms arise by the splitting of ancestral forms into two or more descendant species. However, above all, Darwin provided the mechanisms by arguing convincingly that it is by natural selection – as well as by sexual selection (as he later added) – that organisms adapt to their environment. The many discoveries since then have essentially con?rmed and strengthened Darwin’s central theses, with latest evidence, for example, from molecular genetics, revealing the evolutionary relationships of all life forms through one shared history of descent from a common ancestor. We have also come a long way to progressively understand more on how new species actually originate, i. e. on speciation which remained Darwin’s “mystery of m- teries”, as noted in one of his earliest transmutation notebooks. Since speciation is the underlying mechanism for radiations, it is the ultimate causation for the biological diversity of life that surrounds us. |
| evolution in action: data analysis: 40 Years of Evolution Peter R. Grant, B. Rosemary Grant, 2024-11-12 A new, revised edition of Peter and Rosemary Grant's synthesis of their decades of research on Daphne Island-- |
| evolution in action: data analysis: Data Analysis in Molecular Biology and Evolution Xuhua Xia, 2007-05-08 Data Analysis in Molecular Biology and Evolution introduces biologists to DAMBE, a proprietary, user-friendly computer program for molecular data analysis. The unique combination of this book and software will allow biologists not only to understand the rationale behind a variety of computational tools in molecular biology and evolution, but also to gain instant access to these tools for use in their laboratories. Data Analysis in Molecular Biology and Evolution serves as an excellent resource for advanced level undergraduates or graduates as well as for professionals working in the field. |
| evolution in action: data analysis: An Introduction to Statistical Genetic Data Analysis Melinda C. Mills, Nicola Barban, Felix C. Tropf, 2020-02-18 A comprehensive introduction to modern applied statistical genetic data analysis, accessible to those without a background in molecular biology or genetics. Human genetic research is now relevant beyond biology, epidemiology, and the medical sciences, with applications in such fields as psychology, psychiatry, statistics, demography, sociology, and economics. With advances in computing power, the availability of data, and new techniques, it is now possible to integrate large-scale molecular genetic information into research across a broad range of topics. This book offers the first comprehensive introduction to modern applied statistical genetic data analysis that covers theory, data preparation, and analysis of molecular genetic data, with hands-on computer exercises. It is accessible to students and researchers in any empirically oriented medical, biological, or social science discipline; a background in molecular biology or genetics is not required. The book first provides foundations for statistical genetic data analysis, including a survey of fundamental concepts, primers on statistics and human evolution, and an introduction to polygenic scores. It then covers the practicalities of working with genetic data, discussing such topics as analytical challenges and data management. Finally, the book presents applications and advanced topics, including polygenic score and gene-environment interaction applications, Mendelian Randomization and instrumental variables, and ethical issues. The software and data used in the book are freely available and can be found on the book's website. |
| evolution in action: data analysis: Qualitative Data Analysis Ian Dey, 2003-09-02 Qualitative Data Analysis shows that learning how to analyse qualitative data by computer can be fun. Written in a stimulating style, with examples drawn mainly from every day life and contemporary humour, it should appeal to a wide audience. |
| evolution in action: data analysis: Topological Data Analysis with Applications Gunnar Carlsson, Mikael Vejdemo-Johansson, 2021-12-16 This timely text introduces topological data analysis from scratch, with detailed case studies. |
| evolution in action: data analysis: The Galapagos Islands Charles Darwin, 1996 |
| evolution in action: data analysis: Icons of Evolution Jonathan Wells, 2002-01-01 Everything you were taught about evolution is wrong. |
| evolution in action: data analysis: The Evolution of Adaptive Systems James Patrick Brock, 2000-07-12 The data of evolutionary biology have changed in a very radical way in recent years, the most significant input to this revolution being the advances made in developmental genetics. Another recent development is a noticeable shift away from extreme specialization in evolutionary biology. In this, we are perhaps to be reminded of George Gaylord Simpson's comments: evolution is an incredibly complex but at the same time integrated and unitary process. The main objective of this book is to illustrate how natural adaptive systems evolve as a unity--with the particular objective of identifying and merging several special theories of evolution within the framework of a single general theory. The Evolution of Adaptive Systems provides an interdisciplinary overview of the general theory of evolution from the standpoint of the dynamic behavior of natural adaptive systems. The approach leads to a radically new fusion of the diverse disciplines of evolutionary biology, serving to resolve the considerable degree of conflict existing between different schools of contemporary thought. - The book is a timely volume written by a natural historian with a broad view of biology - The author draws examples from a large range of organisms from many different habitats and niches where interesting adaptations have evolved - Probes deeply into mechanisms of evolution such as developmental genetics, morphogenesis, chromosome structure, and cladogenesis - Clear definition of terms, with illustrations visualizing the main theoretical structures, and point-by-point summaries clearly stating the principal conclusions |
| evolution in action: data analysis: How and Why Species Multiply Peter R. Grant, B. Rosemary Grant, 2011-05-29 Trace the evolutionary history of fourteen different species of finches on the Galapagos Islands that were studied by Charles Darwin. |
| evolution in action: data analysis: Data Analytics and AI Jay Liebowitz, 2020-08-06 Analytics and artificial intelligence (AI), what are they good for? The bandwagon keeps answering, absolutely everything! Analytics and artificial intelligence have captured the attention of everyone from top executives to the person in the street. While these disciplines have a relatively long history, within the last ten or so years they have exploded into corporate business and public consciousness. Organizations have rushed to embrace data-driven decision making. Companies everywhere are turning out products boasting that artificial intelligence is included. We are indeed living in exciting times. The question we need to ask is, do we really know how to get business value from these exciting tools? Unfortunately, both the analytics and AI communities have not done a great job in collaborating and communicating with each other to build the necessary synergies. This book bridges the gap between these two critical fields. The book begins by explaining the commonalities and differences in the fields of data science, artificial intelligence, and autonomy by giving a historical perspective for each of these fields, followed by exploration of common technologies and current trends in each field. The book also readers introduces to applications of deep learning in industry with an overview of deep learning and its key architectures, as well as a survey and discussion of the main applications of deep learning. The book also presents case studies to illustrate applications of AI and analytics. These include a case study from the healthcare industry and an investigation of a digital transformation enabled by AI and analytics transforming a product-oriented company into one delivering solutions and services. The book concludes with a proposed AI-informed data analytics life cycle to be applied to unstructured data. |
| evolution in action: data analysis: Computational Topology for Data Analysis Tamal Krishna Dey, Yusu Wang, 2022-03-10 Topological data analysis (TDA) has emerged recently as a viable tool for analyzing complex data, and the area has grown substantially both in its methodologies and applicability. Providing a computational and algorithmic foundation for techniques in TDA, this comprehensive, self-contained text introduces students and researchers in mathematics and computer science to the current state of the field. The book features a description of mathematical objects and constructs behind recent advances, the algorithms involved, computational considerations, as well as examples of topological structures or ideas that can be used in applications. It provides a thorough treatment of persistent homology together with various extensions – like zigzag persistence and multiparameter persistence – and their applications to different types of data, like point clouds, triangulations, or graph data. Other important topics covered include discrete Morse theory, the Mapper structure, optimal generating cycles, as well as recent advances in embedding TDA within machine learning frameworks. |
| evolution in action: data analysis: Analysis of Phylogenetics and Evolution with R Emmanuel Paradis, 2006-11-25 This book integrates a wide variety of data analysis methods into a single and flexible interface: the R language. The book starts with a presentation of different R packages and gives a short introduction to R for phylogeneticists unfamiliar with this language. The basic phylogenetic topics are covered. The chapter on tree drawing uses R's powerful graphical environment. A section deals with the analysis of diversification with phylogenies, one of the author's favorite research topics. The last chapter is devoted to the development of phylogenetic methods with R and interfaces with other languages (C and C++). Some exercises conclude these chapters. |
| evolution in action: data analysis: Mobile Social Networking Alvin Chin, Daqing Zhang, 2013-10-30 The use of contextually aware, pervasive, distributed computing, and sensor networks to bridge the gap between the physical and online worlds is the basis of mobile social networking. This book shows how applications can be built to provide mobile social networking, the research issues that need to be solved to enable this vision, and how mobile social networking can be used to provide computational intelligence that will improve daily life. With contributions from the fields of sociology, computer science, human-computer interaction and design, this book demonstrates how mobile social networks can be inferred from users' physical interactions both with the environment and with others, as well as how users behave around them and how their behavior differs on mobile vs. traditional online social networks. |
| evolution in action: data analysis: Governing the Commons Elinor Ostrom, 2015-09-23 Tackles one of the most enduring and contentious issues of positive political economy: common pool resource management. |
| evolution in action: data analysis: Handbook of Meta-analysis in Ecology and Evolution Julia Koricheva, Jessica Gurevitch, Kerrie Mengersen, 2013-04-21 Meta-analysis is a powerful statistical methodology for synthesizing research evidence across independent studies. This is the first comprehensive handbook of meta-analysis written specifically for ecologists and evolutionary biologists, and it provides an invaluable introduction for beginners as well as an up-to-date guide for experienced meta-analysts. The chapters, written by renowned experts, walk readers through every step of meta-analysis, from problem formulation to the presentation of the results. The handbook identifies both the advantages of using meta-analysis for research synthesis and the potential pitfalls and limitations of meta-analysis (including when it should not be used). Different approaches to carrying out a meta-analysis are described, and include moment and least-square, maximum likelihood, and Bayesian approaches, all illustrated using worked examples based on real biological datasets. This one-of-a-kind resource is uniquely tailored to the biological sciences, and will provide an invaluable text for practitioners from graduate students and senior scientists to policymakers in conservation and environmental management. Walks you through every step of carrying out a meta-analysis in ecology and evolutionary biology, from problem formulation to result presentation Brings together experts from a broad range of fields Shows how to avoid, minimize, or resolve pitfalls such as missing data, publication bias, varying data quality, nonindependence of observations, and phylogenetic dependencies among species Helps you choose the right software Draws on numerous examples based on real biological datasets |
| evolution in action: data analysis: Melanism M. E. N. Majerus, 1998 Melanism: Evolution in Action describes investigations into a ubiquitous biological phenomenon, the existence of dark, or melanic, forms of many species of mammals, insects, and some plants. Melanism is a particularly exciting phenomenon in terms of our understanding of evolution. Unlike manyother polymorphisms, the rise of a melanic population within a species is a visible alteration. Not only this, but melanism may sometimes occur dramatically quickly compared to other evolutionary change. Examples of melanism include one of the most famous illustrations of Darwinian naturalselection, the peppered moth. This book, the first written on melanism since 1973, gives a lucid and up-to-date appraisal of the subject. The book is divided into ten chapters. The first four chapters place melanism into its historical and scientific context, with illustrations of its occurrence,and physical and genetic properties. Chapters 5-9 look in more detail at melanism in moths and ladybirds, explaining the diversity of evolutionary reasons for melanism, and the complexities underlying this apparently simple phenomenon. The final chapter shows how the study of melanism has contibutedto our understanding of biological evolution as a whole. Written in an engaging and readable style, by an author whose enthusiasm and depth of knowledge is apparent throughout, this book will be welcomed by all students and researchers in the fields of evolution, ecology, entomology, and genetics.It will also be of relevance to professional and amateur entomologists and lepidopterists alike. |
| evolution in action: data analysis: Adaptation and Natural Selection George Christopher Williams, 2018-10-30 Biological evolution is a fact—but the many conflicting theories of evolution remain controversial even today. When Adaptation and Natural Selection was first published in 1966, it struck a powerful blow against those who argued for the concept of group selection—the idea that evolution acts to select entire species rather than individuals. Williams’s famous work in favor of simple Darwinism over group selection has become a classic of science literature, valued for its thorough and convincing argument and its relevance to many fields outside of biology. Now with a new foreword by Richard Dawkins, Adaptation and Natural Selection is an essential text for understanding the nature of scientific debate. |
| evolution in action: data analysis: The Tangled Bank Carl Zimmer, 2019-01-30 Used widely in non-majors biology classes, The Tangled Bank is the first textbook about evolution intended for the general reader. Zimmer, an award-winning science writer, takes readers on a fascinating journey into the latest discoveries about evolution. In the Canadian Arctic, paleontologists unearth fossils documenting the move of our ancestors from sea to land. In the outback of Australia, a zoologist tracks some of the world’s deadliest snakes to decipher the 100-million-year evolution of venom molecules. In Africa, geneticists are gathering DNA to probe the origin of our species. In clear, non-technical language, Zimmer explains the central concepts essential for understanding new advances in evolution, including natural selection, genetic drift, and sexual selection. He demonstrates how vital evolution is to all branches of modern biology—from the fight against deadly antibiotic-resistant bacteria to the analysis of the human genome. |
| evolution in action: data analysis: Evolution in Action Jean-Baptiste de Panafieu, 2011 Spectacular, mysterious, elegant and disturbing - the compelling beauty of vertebrate skeletons is revealed as never before in this collection of photographs, which offers an original explanation of the mechanics of evolution. |
| evolution in action: data analysis: Handbook of Statistical Analysis and Data Mining Applications Ken Yale, Robert Nisbet, Gary D. Miner, 2017-11-09 Handbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers, both academic and industrial, through all stages of data analysis, model building and implementation. The handbook helps users discern technical and business problems, understand the strengths and weaknesses of modern data mining algorithms and employ the right statistical methods for practical application. This book is an ideal reference for users who want to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques and discusses their application to real problems in ways accessible and beneficial to practitioners across several areas—from science and engineering, to medicine, academia and commerce. - Includes input by practitioners for practitioners - Includes tutorials in numerous fields of study that provide step-by-step instruction on how to use supplied tools to build models - Contains practical advice from successful real-world implementations - Brings together, in a single resource, all the information a beginner needs to understand the tools and issues in data mining to build successful data mining solutions - Features clear, intuitive explanations of novel analytical tools and techniques, and their practical applications |
| evolution in action: data analysis: Commerce, Justice, Science, and Related Agencies Appropriations for 2016 United States. Congress. House. Committee on Appropriations. Subcommittee on Commerce, Justice, Science, and Related Agencies, 2015 |
| evolution in action: data analysis: Evolution's Edge Graeme Taylor, 2008-07-01 The brink of catastrophe or the edge of evolution? The choice is ours. Gold-winner in the Most Likely to Save the Planet category of the Independent Publisher Book Awards (IPPY). This brilliant book is a big-picture synthesis of the new curriculum for activists, educators, social and systems entrepreneurs, planners, and community organizers at all levels. Evolution's Edge is vital reading for activists, educators, progressive thinkers, and anyone concerned about the state of our world. A visually pleasing book, its generous use of graphs and charts make clear concepts such as our evolutionary footprint, projected climate change impacts, world populations and economic growth - Kolin Lymworth, The Vancouver Observer Evolution's Edge is simply outstanding - easy to read, inspiring, thoughtful. Its ability to integrate environmental challenges with spritiual issues, technological possibilites and systems evolutionary theory is fantastic. - Sohail Inayatullah, eidtor, Journal of Future Studies It is now five minutes to midnight on the doomsday clock, reflecting the fact that we are closer to assuring the obliteration of our species than we have been at any time since the early eighties. We are rapidly approaching a tipping point, where we will either transform our violent, exploitative global system into a peaceful, cooperative one, or enter a catastrophic decline. Evolution’s Edge shows that limitless economic expansion is impossible on a finite planet. Our growth-based global system will collapse as critical resources become scarce and major ecosystems fail. However, new ideas, values, and technologies can help us avoid disaster and create a better world. Using evolutionary systems theory, Evolution’s Edge explains how societies evolve and why rapid, nonlinear change is not only possible but inevitable. It describes: Collapse—how cascading crises will soon provoke system failure Transformation—how emerging technologies, ideas, values, and social organizations are supporting the evolution of a sustainable system Analysis—how societies evolve into increasingly complex and conscious systems Action—how a common, cooperative vision can accelerate constructive global change Evolution’s Edge is a practical guide to a sustainable future and is vital reading for activists, educators, progressive thinkers, and anyone concerned about the state of our world. Graeme Taylor is a social activist committed to constructive global transformation and the coordinator of BEST Futures, a project supporting sustainable solutions through researching how societies change and evolve. |
| evolution in action: data analysis: Competing on Analytics Thomas H. Davenport, Jeanne G. Harris, 2007-03-06 You have more information at hand about your business environment than ever before. But are you using it to “out-think” your rivals? If not, you may be missing out on a potent competitive tool. In Competing on Analytics: The New Science of Winning, Thomas H. Davenport and Jeanne G. Harris argue that the frontier for using data to make decisions has shifted dramatically. Certain high-performing enterprises are now building their competitive strategies around data-driven insights that in turn generate impressive business results. Their secret weapon? Analytics: sophisticated quantitative and statistical analysis and predictive modeling. Exemplars of analytics are using new tools to identify their most profitable customers and offer them the right price, to accelerate product innovation, to optimize supply chains, and to identify the true drivers of financial performance. A wealth of examples—from organizations as diverse as Amazon, Barclay’s, Capital One, Harrah’s, Procter & Gamble, Wachovia, and the Boston Red Sox—illuminate how to leverage the power of analytics. |
| evolution in action: data analysis: The Evolution of Cooperation Robert Axelrod, 2009-04-29 A famed political scientist's classic argument for a more cooperative world We assume that, in a world ruled by natural selection, selfishness pays. So why cooperate? In The Evolution of Cooperation, political scientist Robert Axelrod seeks to answer this question. In 1980, he organized the famed Computer Prisoners Dilemma Tournament, which sought to find the optimal strategy for survival in a particular game. Over and over, the simplest strategy, a cooperative program called Tit for Tat, shut out the competition. In other words, cooperation, not unfettered competition, turns out to be our best chance for survival. A vital book for leaders and decision makers, The Evolution of Cooperation reveals how cooperative principles help us think better about everything from military strategy, to political elections, to family dynamics. |
| evolution in action: data analysis: Opportunities in Biology National Research Council, Division on Earth and Life Studies, Commission on Life Sciences, Board on Biology, Committee on Research Opportunities in Biology, 1989-01-01 Biology has entered an era in which interdisciplinary cooperation is at an all-time high, practical applications follow basic discoveries more quickly than ever before, and new technologiesâ€recombinant DNA, scanning tunneling microscopes, and moreâ€are revolutionizing the way science is conducted. The potential for scientific breakthroughs with significant implications for society has never been greater. Opportunities in Biology reports on the state of the new biology, taking a detailed look at the disciplines of biology; examining the advances made in medicine, agriculture, and other fields; and pointing out promising research opportunities. Authored by an expert panel representing a variety of viewpoints, this volume also offers recommendations on how to meet the infrastructure needsâ€for funding, effective information systems, and other supportâ€of future biology research. Exploring what has been accomplished and what is on the horizon, Opportunities in Biology is an indispensable resource for students, teachers, and researchers in all subdisciplines of biology as well as for research administrators and those in funding agencies. |
| evolution in action: data analysis: R for Everyone Jared P. Lander, 2017-06-13 Statistical Computation for Programmers, Scientists, Quants, Excel Users, and Other Professionals Using the open source R language, you can build powerful statistical models to answer many of your most challenging questions. R has traditionally been difficult for non-statisticians to learn, and most R books assume far too much knowledge to be of help. R for Everyone, Second Edition, is the solution. Drawing on his unsurpassed experience teaching new users, professional data scientist Jared P. Lander has written the perfect tutorial for anyone new to statistical programming and modeling. Organized to make learning easy and intuitive, this guide focuses on the 20 percent of R functionality you’ll need to accomplish 80 percent of modern data tasks. Lander’s self-contained chapters start with the absolute basics, offering extensive hands-on practice and sample code. You’ll download and install R; navigate and use the R environment; master basic program control, data import, manipulation, and visualization; and walk through several essential tests. Then, building on this foundation, you’ll construct several complete models, both linear and nonlinear, and use some data mining techniques. After all this you’ll make your code reproducible with LaTeX, RMarkdown, and Shiny. By the time you’re done, you won’t just know how to write R programs, you’ll be ready to tackle the statistical problems you care about most. Coverage includes Explore R, RStudio, and R packages Use R for math: variable types, vectors, calling functions, and more Exploit data structures, including data.frames, matrices, and lists Read many different types of data Create attractive, intuitive statistical graphics Write user-defined functions Control program flow with if, ifelse, and complex checks Improve program efficiency with group manipulations Combine and reshape multiple datasets Manipulate strings using R’s facilities and regular expressions Create normal, binomial, and Poisson probability distributions Build linear, generalized linear, and nonlinear models Program basic statistics: mean, standard deviation, and t-tests Train machine learning models Assess the quality of models and variable selection Prevent overfitting and perform variable selection, using the Elastic Net and Bayesian methods Analyze univariate and multivariate time series data Group data via K-means and hierarchical clustering Prepare reports, slideshows, and web pages with knitr Display interactive data with RMarkdown and htmlwidgets Implement dashboards with Shiny Build reusable R packages with devtools and Rcpp Register your product at informit.com/register for convenient access to downloads, updates, and corrections as they become available. |
| evolution in action: data analysis: Statistical Data Analysis Explained Clemens Reimann, Peter Filzmoser, Robert Garrett, Rudolf Dutter, 2011-08-31 Few books on statistical data analysis in the natural sciences are written at a level that a non-statistician will easily understand. This is a book written in colloquial language, avoiding mathematical formulae as much as possible, trying to explain statistical methods using examples and graphics instead. To use the book efficiently, readers should have some computer experience. The book starts with the simplest of statistical concepts and carries readers forward to a deeper and more extensive understanding of the use of statistics in environmental sciences. The book concerns the application of statistical and other computer methods to the management, analysis and display of spatial data. These data are characterised by including locations (geographic coordinates), which leads to the necessity of using maps to display the data and the results of the statistical methods. Although the book uses examples from applied geochemistry, and a large geochemical survey in particular, the principles and ideas equally well apply to other natural sciences, e.g., environmental sciences, pedology, hydrology, geography, forestry, ecology, and health sciences/epidemiology. The book is unique because it supplies direct access to software solutions (based on R, the Open Source version of the S-language for statistics) for applied environmental statistics. For all graphics and tables presented in the book, the R-scripts are provided in the form of executable R-scripts. In addition, a graphical user interface for R, called DAS+R, was developed for convenient, fast and interactive data analysis. Statistical Data Analysis Explained: Applied Environmental Statistics with R provides, on an accompanying website, the software to undertake all the procedures discussed, and the data employed for their description in the book. |
| evolution in action: data analysis: Storytelling with Data Cole Nussbaumer Knaflic, 2015-10-09 Don't simply show your data—tell a story with it! Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples—ready for immediate application to your next graph or presentation. Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Specifically, you'll learn how to: Understand the importance of context and audience Determine the appropriate type of graph for your situation Recognize and eliminate the clutter clouding your information Direct your audience's attention to the most important parts of your data Think like a designer and utilize concepts of design in data visualization Leverage the power of storytelling to help your message resonate with your audience Together, the lessons in this book will help you turn your data into high impact visual stories that stick with your audience. Rid your world of ineffective graphs, one exploding 3D pie chart at a time. There is a story in your data—Storytelling with Data will give you the skills and power to tell it! |
| evolution in action: data analysis: Analyzing Compositional Data with R K. Gerald van den Boogaart, Raimon Tolosana-Delgado, 2013-06-29 This book presents the statistical analysis of compositional data sets, i.e., data in percentages, proportions, concentrations, etc. The subject is covered from its grounding principles to the practical use in descriptive exploratory analysis, robust linear models and advanced multivariate statistical methods, including zeros and missing values, and paying special attention to data visualization and model display issues. Many illustrated examples and code chunks guide the reader into their modeling and interpretation. And, though the book primarily serves as a reference guide for the R package “compositions,” it is also a general introductory text on Compositional Data Analysis. Awareness of their special characteristics spread in the Geosciences in the early sixties, but a strategy for properly dealing with them was not available until the works of Aitchison in the eighties. Since then, research has expanded our understanding of their theoretical principles and the potentials and limitations of their interpretation. This is the first comprehensive textbook addressing these issues, as well as their practical implications with regard to software. The book is intended for scientists interested in statistically analyzing their compositional data. The subject enjoys relatively broad awareness in the geosciences and environmental sciences, but the spectrum of recent applications also covers areas like medicine, official statistics, and economics. Readers should be familiar with basic univariate and multivariate statistics. Knowledge of R is recommended but not required, as the book is self-contained. |
| evolution in action: data analysis: An Introduction to Methods and Models in Ecology, Evolution, and Conservation Biology Stanton Braude, Bobbi S. Low, 2010-01-04 An innovative introduction to ecology and evolution This unique textbook introduces undergraduate students to quantitative models and methods in ecology, behavioral ecology, evolutionary biology, and conservation. It explores the core concepts shared by these related fields using tools and practical skills such as experimental design, generating phylogenies, basic statistical inference, and persuasive grant writing. And contributors use examples from their own cutting-edge research, providing diverse views to engage students and broaden their understanding. This is the only textbook on the subject featuring a collaborative active learning approach that emphasizes hands-on learning. Every chapter has exercises that enable students to work directly with the material at their own pace and in small groups. Each problem includes data presented in a rich array of formats, which students use to answer questions that illustrate patterns, principles, and methods. Topics range from Hardy-Weinberg equilibrium and population effective size to optimal foraging and indices of biodiversity. The book also includes a comprehensive glossary. In addition to the editors, the contributors are James Beck, Cawas Behram Engineer, John Gaskin, Luke Harmon, Jon Hess, Jason Kolbe, Kenneth H. Kozak, Robert J. Robertson, Emily Silverman, Beth Sparks-Jackson, and Anton Weisstein. Provides experience with hypothesis testing, experimental design, and scientific reasoning Covers core quantitative models and methods in ecology, behavioral ecology, evolutionary biology, and conservation Turns discussion sections into thinking labs Professors: A supplementary Instructor's Manual is available for this book. It is restricted to teachers using the text in courses. For information on how to obtain a copy, refer to: http://press.princeton.edu/class_use/solutions.html |
| evolution in action: data analysis: The SAGE Encyclopedia of Theory in Psychology Harold L. Miller, Jr., 2016-01-05 Drawing together a team of international scholars, The SAGE Encyclopedia of Theory in Psychology examines the contemporary landscape of all the key theories and theorists, presenting them in the context needed to understand their strengths and weaknesses. Key features include: · Approximately 300 signed entries fill two volumes · Entries are followed by Cross-References and Further Readings · A Reader's Guide in the front matter groups entries thematically · A detailed Index and the Cross-References provide for effective search-and-browse in the electronic version · Back matter includes a Chronology of theory within the field of psychology, a Master Bibliography, and an annotated Resource Guide to classic books in this field, journals, associations, and their websites The SAGE Encyclopedia of Theory in Psychology is an exceptional and scholarly source for researching the theory of psychology, making it a must-have reference for all academic libraries. |
| evolution in action: data analysis: Evolution's Rainbow Joan Roughgarden, 2013-09-14 In this innovative celebration of diversity and affirmation of individuality in animals and humans, Joan Roughgarden challenges accepted wisdom about gender identity and sexual orientation. A distinguished evolutionary biologist, Roughgarden takes on the medical establishment, the Bible, social science—and even Darwin himself. She leads the reader through a fascinating discussion of diversity in gender and sexuality among fish, reptiles, amphibians, birds, and mammals, including primates. Evolution's Rainbow explains how this diversity develops from the action of genes and hormones and how people come to differ from each other in all aspects of body and behavior. Roughgarden reconstructs primary science in light of feminist, gay, and transgender criticism and redefines our understanding of sex, gender, and sexuality. Witty, playful, and daring, this book will revolutionize our understanding of sexuality. Roughgarden argues that principal elements of Darwinian sexual selection theory are false and suggests a new theory that emphasizes social inclusion and control of access to resources and mating opportunity. She disputes a range of scientific and medical concepts, including Wilson's genetic determinism of behavior, evolutionary psychology, the existence of a gay gene, the role of parenting in determining gender identity, and Dawkins's selfish gene as the driver of natural selection. She dares social science to respect the agency and rationality of diverse people; shows that many cultures across the world and throughout history accommodate people we label today as lesbian, gay, and transgendered; and calls on the Christian religion to acknowledge the Bible's many passages endorsing diversity in gender and sexuality. Evolution's Rainbow concludes with bold recommendations for improving education in biology, psychology, and medicine; for democratizing genetic engineering and medical practice; and for building a public monument to affirm diversity as one of our nation's defining principles. |
| evolution in action: data analysis: The Digital Cell Stephen J. Royle, 2019 Cell biology is becoming an increasingly quantitative field, as technical advances mean researchers now routinely capture vast amounts of data. This handbook is an essential guide to the computational approaches, image processing and analysis techniques, and basic programming skills that are now part of the skill set of anyone working in the field-- |
| evolution in action: data analysis: Practical Data Analysis Using Jupyter Notebook Marc Wintjen, 2020-06-19 Understand data analysis concepts to make accurate decisions based on data using Python programming and Jupyter Notebook Key FeaturesFind out how to use Python code to extract insights from data using real-world examplesWork with structured data and free text sources to answer questions and add value using dataPerform data analysis from scratch with the help of clear explanations for cleaning, transforming, and visualizing dataBook Description Data literacy is the ability to read, analyze, work with, and argue using data. Data analysis is the process of cleaning and modeling your data to discover useful information. This book combines these two concepts by sharing proven techniques and hands-on examples so that you can learn how to communicate effectively using data. After introducing you to the basics of data analysis using Jupyter Notebook and Python, the book will take you through the fundamentals of data. Packed with practical examples, this guide will teach you how to clean, wrangle, analyze, and visualize data to gain useful insights, and you'll discover how to answer questions using data with easy-to-follow steps. Later chapters teach you about storytelling with data using charts, such as histograms and scatter plots. As you advance, you'll understand how to work with unstructured data using natural language processing (NLP) techniques to perform sentiment analysis. All the knowledge you gain will help you discover key patterns and trends in data using real-world examples. In addition to this, you will learn how to handle data of varying complexity to perform efficient data analysis using modern Python libraries. By the end of this book, you'll have gained the practical skills you need to analyze data with confidence. What you will learnUnderstand the importance of data literacy and how to communicate effectively using dataFind out how to use Python packages such as NumPy, pandas, Matplotlib, and the Natural Language Toolkit (NLTK) for data analysisWrangle data and create DataFrames using pandasProduce charts and data visualizations using time-series datasetsDiscover relationships and how to join data together using SQLUse NLP techniques to work with unstructured data to create sentiment analysis modelsDiscover patterns in real-world datasets that provide accurate insightsWho this book is for This book is for aspiring data analysts and data scientists looking for hands-on tutorials and real-world examples to understand data analysis concepts using SQL, Python, and Jupyter Notebook. Anyone looking to evolve their skills to become data-driven personally and professionally will also find this book useful. No prior knowledge of data analysis or programming is required to get started with this book. |
| evolution in action: data analysis: Molecular Evolutionary Genetics Masatoshi Nei, 1987 -- The Scientist |
| evolution in action: data analysis: The Theory of Evolution and Its Impact Aldo Fasolo, 2011-11-27 Year 2009 was the triumph of Darwin as a global superstar, spinning from the pop icon to the actual understanding to what make him a great innovator, able to give a turn to whole modern culture. Does all this activity mean evolution has lost its ability to excite fear and opposition? After such a deluge of books, conferences, reviews, gadgets, what is today our vision on theory of Evolution and its Impact? These are the questions asked at an inter-academy conference held in Torino (May 27-29, 2010) among the Accademia delle Scienze di Torino, the Accademia Nazionale dei Lincei and the Berlin-Brandenburgische Akademie der Wissenschaften. The present book collects the contributions from the meeting, mixing styles, arguments, topics, history and philosophy of science, modern biology and epistemology . This kind of inter-disciplinary approach may appear erratic, but it conveys flashes of lights on the changing scene where the theory of evolution plays. This is in line with the idea to reopen the file of the Two Cultures, looking at shared problems, which are not yet really the Third Culture invoked by Charles Percy Snow half a century ago, but they can foster it, at least in such a pivotal domain as evolution. According to the philosopher Michael Ruse, the conclusion is “that in fifty years or a hundred years we will still have the theory of the Origin around. Great, precisely because it does not stand still, but remakes itself and grows and changes by virtue of the fact that it gives such a terrific foundation. Is Darwinism past its sell-by date? Not by a long chalk yet!” |
| evolution in action: data analysis: Recent Advances in the Ecology and Evolution of the Bathyergidae Stan Braude, Sabine Begall, Susanne Holtze, Nigel Bennett, 2022-11-14 |
| evolution in action: data analysis: The Coding Manual for Qualitative Researchers Johnny Saldana, 2009-02-19 The Coding Manual for Qualitative Researchers is unique in providing, in one volume, an in-depth guide to each of the multiple approaches available for coding qualitative data. In total, 29 different approaches to coding are covered, ranging in complexity from beginner to advanced level and covering the full range of types of qualitative data from interview transcripts to field notes. For each approach profiled, Johnny Saldaña discusses the method’s origins in the professional literature, a description of the method, recommendations for practical applications, and a clearly illustrated example. |
Evolution - Wikipedia
Evolution is the change in the heritable characteristics of biological populations over successive generations. [1][2] It occurs when evolutionary processes such as natural selection and …
Evolution | Definition, History, Types, & Examples | Britannica
Jun 6, 2025 · evolution, theory in biology postulating that the various types of plants, animals, and other living things on Earth have their origin in other preexisting types and that the …
An introduction to evolution
Evolution helps us to understand the living world around us, as well as its history. Biological evolution is not simply a matter of change over time.
Theory of Evolution - Education
Oct 19, 2023 · The theory of evolution is a shortened form of the term “theory of evolution by natural selection,” which was proposed by Charles Darwin and Alfred Russel Wallace in the …
Evolution – Definition, Types, Advantages, Examples
Nov 13, 2024 · Evolution is the process by which species change over time through the gradual accumulation of genetic variations, driven by mechanisms like natural selection, genetic drift, …
Evolution - Simple English Wikipedia, the free encyclopedia
Evolution is a biological process. It is how living things change over time and how new species develop. The theory of evolution explains how evolution works, and how living and extinct …
evolution | Learn Science at Scitable - Nature
Evolution is a process that results in changes in the genetic material of a population over time. Evolution reflects the adaptations of organisms to their changing...
Evolution - National Human Genome Research Institute
4 days ago · Evolution, as related to genomics, refers to the process by which living organisms change over time through changes in the genome. Such evolutionary changes result from …
Evolution - Stanford Encyclopedia of Philosophy
Aug 25, 2017 · Evolution may be defined as any net directional change or any cumulative change in the characteristics of organisms or populations over many generations—in other words, …
How Evolution Works - HowStuffWorks
Evolution is a set of principles that tries to explain how life, in all its various forms, appeared on Earth. The theory of evolution succeeds in explaining why we see bacteria and mosquitoes …
Evolution - Wikipedia
Evolution is the change in the heritable characteristics of biological populations over successive generations. [1][2] It occurs when evolutionary processes such as natural selection and …
Evolution | Definition, History, Types, & Examples | Britannica
Jun 6, 2025 · evolution, theory in biology postulating that the various types of plants, animals, and other living things on Earth have their origin in other preexisting types and that the …
An introduction to evolution
Evolution helps us to understand the living world around us, as well as its history. Biological evolution is not simply a matter of change over time.
Theory of Evolution - Education
Oct 19, 2023 · The theory of evolution is a shortened form of the term “theory of evolution by natural selection,” which was proposed by Charles Darwin and Alfred Russel Wallace in the …
Evolution – Definition, Types, Advantages, Examples
Nov 13, 2024 · Evolution is the process by which species change over time through the gradual accumulation of genetic variations, driven by mechanisms like natural selection, genetic drift, …
Evolution - Simple English Wikipedia, the free encyclopedia
Evolution is a biological process. It is how living things change over time and how new species develop. The theory of evolution explains how evolution works, and how living and extinct …
evolution | Learn Science at Scitable - Nature
Evolution is a process that results in changes in the genetic material of a population over time. Evolution reflects the adaptations of organisms to their changing...
Evolution - National Human Genome Research Institute
4 days ago · Evolution, as related to genomics, refers to the process by which living organisms change over time through changes in the genome. Such evolutionary changes result from …
Evolution - Stanford Encyclopedia of Philosophy
Aug 25, 2017 · Evolution may be defined as any net directional change or any cumulative change in the characteristics of organisms or populations over many generations—in other words, …
How Evolution Works - HowStuffWorks
Evolution is a set of principles that tries to explain how life, in all its various forms, appeared on Earth. The theory of evolution succeeds in explaining why we see bacteria and mosquitoes …
