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The Cambridge Companion to Alexander the Great
Has any ancient figure captivated the imagination of people over the centuries so much as Alexander the Great? In less than a decade he created an empire stretching across much of the Near East as far as India, which led to Greek culture becoming dominant in much of this region for a millennium. Here, an international team of experts clearly explains the life and career of one of the most significant figures in world history. They introduce key themes of his campaign as well as describing aspects of his court and government and exploring the very different natures of his engagements with the various peoples he encountered and their responses to him. The reader is also introduced to the key sources, including the more important fragmentary historians, especially Ptolemy, Aristobulus and Clitarchus, with their different perspectives. The book closes by considering how Alexander's image was manipulated in antiquity itself.
Telling Stories with Data
Extensive code examples. Ethics integrated throughout. Reproducibility integrated throughout. Focus on data gathering, messy data, and cleaning data. Extensive formative assessment throughout.
Big Data Analytics
Successfully navigating the data-driven economy presupposes a certain understanding of the technologies and methods to gain insights from Big Data. This book aims to help data science practitioners to successfully manage the transition to Big Data. Building on familiar content from applied econometrics and business analytics, this book introduces the reader to the basic concepts of Big Data Analytics. The focus of the book is on how to productively apply econometric and machine learning techniques with large, complex data sets, as well as on all the steps involved before analysing the data (data storage, data import, data preparation). The book combines conceptual and theoretical material wi...
Antisemitism in Online Communication
The normalisation of hate speech, including antisemitic rhetoric, poses a significant threat to social cohesion and democracy. While global efforts have been made to counter contemporary antisemitism, there is an urgent need to understand its online manifestations. Hate speech spreads easily across the internet, facilitated by anonymity and reinforced by algorithms that favour engaging--even if offensive--content. It often takes coded forms, making detection challenging. Antisemitism in Online Communication addresses these issues by analysing explicit and implicit antisemitic statements in mainstream online discourse. Drawing from disciplines such as corpus linguistics, computational linguis...
The Data Preparation Journey
The Data Preparation Journey: Finding Your Way With R introduces the principles of data preparation within in a systematic approach that follows a typical data science or statistical workflow. With that context, readers will work through practical solutions to resolving problems in data using the statistical and data science programming language R. These solutions include examples of complex real-world data, adding greater context and exposing the reader to greater technical challenges. This book focuses on the Import to Tidy to Transform steps. It demonstrates how “Visualise” is an important part of Exploratory Data Analysis, a strategy for identifying potential problems with the data p...
Active Statistics
52 real-world stories, with hands-on activities, problems, and computer demonstrations in R for learning or teaching regression.
Getting (more out of) Graphics
Data graphics are used extensively to present information. Understanding graphics is a lot about understanding the data represented by the graphics, having a feel not just for the numbers themselves, the reliability and uncertainty associated with them, but also for what they mean. This book presents a practical approach to data visualisation with real applications front and centre. The first part of the book is a series of case studies, each describing a graphical analysis of a real dataset. The second part pulls together ideas from the case studies and provides an overview of the main factors affecting understanding graphics. Key Features: Explains how to get insights from graphics. Emphasises the value of drawing many graphics. Underlines the importance for analysis of background knowledge and context. Readers may be data scientists, statisticians or people who want to become more visually literate. A knowledge of Statistics is not required, just an interest in data graphics and some experience of working with data. It will help if the reader knows something of basic graphic forms such as barcharts, histograms, and scatterplots.
