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Text Mining in Practice with R
A reliable, cost-effective approach to extracting priceless business information from all sources of text Excavating actionable business insights from data is a complex undertaking, and that complexity is magnified by an order of magnitude when the focus is on documents and other text information. This book takes a practical, hands-on approach to teaching you a reliable, cost-effective approach to mining the vast, untold riches buried within all forms of text using R. Author Ted Kwartler clearly describes all of the tools needed to perform text mining and shows you how to use them to identify practical business applications to get your creative text mining efforts started right away. With th...
Applied Sport Business Analytics
"This book addresses the fundamental use of analytical metrics to inform sport managers, framing sport analytics for practical use within organizations. The book is organized to present the background of sport analytics, why it is useful, selected techniques and tools employed, and its applications in sport organizations. The text guides the reader in selecting and communicating information in a useable format, and the translation of metrics in informing managers, guiding decisions, and maximizing efficiency in achieving desired outcomes"--
Sports Analytics in Practice with R
Sports Analytics in Practice with R A practical guide for those looking to employ the latest and leading analytical software in sport In the last twenty years, sports organizations have become a data-driven business. Before this, most decisions in sports were qualitatively driven by subject-matter experts. In the years since numerous teams found success with “Money Ball” analytical perspectives, the industry has sought to advance its analytical acumen to improve on- and off-field outcomes. The increasing demand for data to inform decisions for coaches, scouts, and players before and during sporting events has led to intriguing efforts to build upon this quantitative approach. As this met...
Start Your Own Screen-Printing Business
Start Your Own Screen-Printing Business provides the mentorship for both beginning and experienced entrepreneurs to obtain a solid step-by-step education on how to silk screen, sell the finished products, utilize available resources, and purchase the best equipment. In conjunction with their family's company, Joan and Anthony Mongiello have relied on their more than twenty years of experience to help more than six thousand people launch and successfully operate their own T-shirt print shops. Together, the Mongiellos show you how much fun and easy it is to print T-shirts and make money doing it. The Mongiellos leave no stone unturned as their professional guidance teaches: Profit expectations...
Literary Digital Stylistics in Translation Studies
This book presents a systematic literary comparison of the retranslations by adopting a mixed-method and bottom-up (inductive) approach by developing an empirical corpus approach. This corpus is specifically tailored to identify and study linguistic and non-linguistic modernist features throughout the texts, such as stream of consciousness-indirect interior monologue and free indirect speech. All occurrences are analysed quantitatively in the computations of inferential and comparative statistics, such as tests of time trends, lexical variety, and lexical frequency. The target texts are digitised, and the resulting text files are then analysed using a bespoke, novel computer program capable ...
Data Visualization in Enlightenment Literature and Culture
Data Visualization in Enlightenment Literature and Culture explores the new interpretive possibilities offered by using data visualization in eighteenth-century studies. Such visualizations include tabulations, charts, k-means clustering, topic modeling, network graphs, data mapping, and/or other illustrations of patterns of social or intellectual exchange. The contributions to this collection present groundbreaking research of texts and/or cultural trends emerging from data mined from existing databases and other aggregates of sources. Describing both small and large digital projects by scholars in visual arts, history, musicology, and literary studies, this collection addresses the benefits and challenges of employing digital tools, as well as their potential use in the classroom. Chapters 1, 3, 8 and 10 are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Foundations for Analytics with Python
If you’re like many of Excel’s 750 million users, you want to do more with your data—like repeating similar analyses over hundreds of files, or combining data in many files for analysis at one time. This practical guide shows ambitious non-programmers how to automate and scale the processing and analysis of data in different formats—by using Python. After author Clinton Brownley takes you through Python basics, you’ll be able to write simple scripts for processing data in spreadsheets as well as databases. You’ll also learn how to use several Python modules for parsing files, grouping data, and producing statistics. No programming experience is necessary. Create and run your own ...
The Machine Age of Customer Insight
The Machine Age of Customer Insight demonstrates the impact of machine learning and data analytics, combining an academic state-of-the-art overview of machine learning with cases from well-known companies. These cases show the opportunities and challenges of the transformation process for business and for customer insights more specifically.
The Routledge Companion to Libraries, Archives, and the Digital Humanities
The Routledge Companion to Libraries, Archives, and the Digital Humanities covers a wide range of issues encountered in the world’s libraries and archives as they continue to expand their support of, and direct engagement in, Digital Humanities (DH) research and teaching. In addition to topics related to the practice of librarianship, and to libraries and archives as DH-friendly institutions, we address issues of importance to library and archives workers themselves: labour, sustainability, organisation and infrastructure, and focused professional practices that reflect the increasingly important role of librarians and archivists as active research partners. One of the central motifs of th...
Data Science Using Python and R
Learn data science by doing data science! Data Science Using Python and R will get you plugged into the world’s two most widespread open-source platforms for data science: Python and R. Data science is hot. Bloomberg called data scientist “the hottest job in America.” Python and R are the top two open-source data science tools in the world. In Data Science Using Python and R, you will learn step-by-step how to produce hands-on solutions to real-world business problems, using state-of-the-art techniques. Data Science Using Python and R is written for the general reader with no previous analytics or programming experience. An entire chapter is dedicated to learning the basics of Python a...
