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Written for statisticians, computer scientists, geographers, research and applied scientists, and others interested in visualizing data, this book presents a unique foundation for producing almost every quantitative graphic found in scientific journals, newspapers, statistical packages, and data visualization systems. It was designed for a distributed computing environment, with special attention given to conserving computer code and system resources. While the tangible result of this work is a Java production graphics library, the text focuses on the deep structures involved in producing quantitative graphics from data. It investigates the rules that underlie pie charts, bar charts, scatterplots, function plots, maps, mosaics, and radar charts. These rules are abstracted from the work of Bertin, Cleveland, Kosslyn, MacEachren, Pinker, Tufte, Tukey, Tobler, and other theorists of quantitative graphics.
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results
The Grammar of the English Tense System forms the first volume of a four-volume set, The Grammar of the English Verb Phrase. The other volumes, to appear over the next few years, will deal with mood and modality, aspect and voice. The book aims to provide a grammar of tense which can be used both as an advanced reference grammar (for example by MA-level or postgraduate students of English or linguistics) and as a scientific study which can act as a basis for and stimulus to further research. It provides not only a wealth of data but also a unique framework for the study of the English tense system, which achieves great predictive and explanatory power on the basis of a limited number of relatively simple rules. The framework provided allows for an analysis of the semantics of individual tenses which reflects the role of tenses not only in locating situations in time relative to speech time but also in relating situations in time relative to one another to form temporally coherent discourse. Attention is paid to the relations between tenses. On the one hand, we can identify sets of tenses linked to particular temporal areas such as the past or the future. These sets of tenses provide for the expression of a system of temporal relations in a stretch of discourse in which all the situations are located within the same temporal area. On the other hand, there are many contexts in which speakers might in theory choose between two or more tenses to locate a situation (e.g., when we choose between the past tense and the present perfect to locate a situation before speech time), and the book examines the difference that a choice of one or the other tense may make within a discourse context. The book moves from a detailed exploration of the meaning and use of individual tenses to a thorough analysis of the way in which tenses can be seen to function together as sets, and finally to a detailed examination of tenses in, and tenses interacting with, temporal adverbials. Original data is used frequently throughout the book to illustrate the theory discussed.
Telling people about research is just as important as doing it. But many competent researchers are wary of scientific writing, despite its importance for sharpening scientific thinking, advancing their career, obtaining funding for their work and growing the prestige of their institution. This second edition of David Lindsay’s popular book Scientific Writing = Thinking in Words presents a way of thinking about writing that builds on the way good scientists think about research. The simple principles in this book will help you to clarify the objectives of your work and present your results with impact. Fully updated throughout, with practical examples of good and bad writing, an expanded chapter on writing for non-scientists and a new chapter on writing grant applications, this book makes communicating research easier and encourages researchers to write confidently. It is an ideal reference for researchers preparing journal articles, posters, conference presentations, reviews and popular articles; for students preparing theses; and for researchers whose first language is not English.
Collects six short illustrated volumes covering topics in mathematics, physics, chemistry, biology, evolution, and astronomy.
A History of Science is a five volume work written by two brothers dr. Henry Smith Williams and dr. Edward Huntington Williams with a goal to present fundamental principles of science, to point out how they have been discovered by our predecessors, and to trace the growth of these ideas from their first vague beginnings. The work is chronologically divided in five parts, each of them covering the epoch in which different branches of science have been lifted to the next level. Table of Contents: Volume I: Idea of the Science in Ancient History and Prehistoric Times (Egypt, Babylonia, Assyria, Ancient Greece and Rome); Volume II: The Beginnings of Modern Science (Science in Middle Ages, Eastern, Western, Galileo, Newton); Volume III: Modern Development of the Physical Sciences; Volume IV: Modern Development of the Chemical and Biological Sciences; Volume V: Aspects of Recent Science.