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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.
Shakespeare's Companies
Focusing on a period (c.1577-1594) that is often neglected in Elizabethan theater histories, this study considers Shakespeare's involvement with the various London acting companies before his membership in the Lord Chamberlain's Men in 1594. Locating Shakespeare in the confusing records of the early London theater scene has long been one of the many unresolved problems in Shakespeare studies and is a key issue in theatre history, Shakespeare biography, and historiography. The aim in this book is to explain, analyze, and assess the competing claims about Shakespeare's pre-1594 acting company affiliations. Schoone-Jongen does not demonstrate that one particular claim is correct but provides a ...
Scouting
Published by the Boy Scouts of America for all BSA registered adult volunteers and professionals, Scouting magazine offers editorial content that is a mixture of information, instruction, and inspiration, designed to strengthen readers' abilities to better perform their leadership roles in Scouting and also to assist them as parents in strengthening families.
Once I Was a Princess
Can you imagine what it would be like to be swept off your feet by a royal prince to live a charmed life in the marble palaces of an oil-rich nation - and then to watch your fairy-tale romance turn into a nightmare of Islamic superstition, isolation, betrayal and abuse? What would you do if you managed to escape your life of torment - and then your children were kidnapped by their own father? This is what happened to Jacqueline Pascarl. In Once I Was a Princess, Jacqueline recounts her part in this controversial, headline-grabbing international drama with heart-rending honesty.
Abducted
At seventeen, Jacqueline Pascarl married a royal prince and embarked on what she believed would be a fairy-tale existence. But it soon became a nightmare. After years of abuse at the hands of her husband, Jacqueline escaped with her children, hoping to leave her past behind. But what followed would haunt her for the next fourteen years. In this heart-rending story, Jacqueline describes how her husband kidnapped their two young children and forced them to cut off all contact with her. She tells of the pain and helplessness she felt at their loss but also of how she channelled her grief, forging an existence as an aid worker and humanitarian ambassador, all the while desperately hoping to hear news of them. In 2006, she was reunited with her long-lost children, and in Abducted she reveals the dramatic events that led to their meeting. This is a candid, compelling account of living under the shadow of child abduction. It is an unforgettable ride through tragedy, loss and, finally, triumph.
Since I Was a Princess
In Once I Was a Princess, Jacqueline Pascarl related the gripping story of her abusive childhood and her subsequent teen marriage to a prince. What should have been a fairy tale with a happy ending deteriorated into a nightmare of deceit and betrayal - ending in the kidnapping of her two small children by her former husband, who spirited them back to Malaysia. In Since I Was a Princess, Pascarl peels back the layers of her life after the abduction. She tells how she channelled her grief, forging an existence as an aid worker and humanitarian ambassador in war-torn countries and working with refugees and the dispossessed. She describes how she persuaded some of the world's most influential fi...
Tidy Finance with R
This textbook shows how to bring theoretical concepts from finance and econometrics to the data. Focusing on coding and data analysis with R, we show how to conduct research in empirical finance from scratch. We start by introducing the concepts of tidy data and coding principles using the tidyverse family of R packages. We then provide the code to prepare common open source and proprietary financial data sources (CRSP, Compustat, Mergent FISD, TRACE) and organize them in a database. We reuse these data in all the subsequent chapters, which we keep as self-contained as possible. The empirical applications range from key concepts of empirical asset pricing (beta estimation, portfolio sorts, p...
Practice R
Many students learn to analyze data using commercial packages, even though there is an open-source software with cutting-edge possibilities: R, a programming language with countless cool features for applied empirical research. Practice R introduces R to social science students, inspiring them to consider R as an excellent choice. In a non-technical pragmatic way, this book covers all typical steps of applied empirical research. Learn how to prepare, analyze, and visualize data in R. Discover how to collect data, generate reports, or automate error-prone tasks. The book is accompanied by an R package. This provides further learning materials that include interactive tutorials, challenging you with typical problems of applied research. This way, you can immediately practice the knowledge you have learned. The package also includes the source code of each chapter and templates that help to create reports. Practice R has social science students in mind, nonetheless a broader audience may use Practice R to become a proficient R user.
An Introduction to Quantitative Text Analysis for Linguistics
An Introduction to Quantitative Text Analysis for Linguistics: Reproducible Research Using R is a pragmatic textbook that equips students and researchers with the essential concepts and practical programming skills needed to conduct quantitative text analysis in a reproducible manner. Designed for undergraduate students and those new to the field, this book assumes no prior experience with statistics or programming, making it an accessible resource for anyone embarking on their journey into quantitative text analysis. Through a pedagogical approach which emphasizes intuitive understanding over technical details, readers will gain data literacy by learning to identify, interpret, and evaluate...
