Hands-On Data Science for Librarians (Chapman & Hall/CRC Data Science Series) 1st Edition
by Sarah Lin(Author), Dorris Scott(Author)
Publisher finelybook 出版社: Chapman and Hall/CRC; 1st edition (April 24, 2023)
Language 语言: English
Print Length 页数: 187 pages
ISBN-10: 1032080825
ISBN-13: 9781032080826
Book Description
By finelybook
Librarians understand the need to store, use and analyze data related to their collection, patrons and institution, and there has been consistent interest over the last 10 years to improve data management, analysis, and visualization skills within the profession. However, librarians find it difficult to move from out-of-the-box proprietary software applications to the skills necessary to perform the range of data science actions in code. This book will focus on teaching R through relevant examples and skills that librarians need in their day-to-day lives that includes visualizations but goes much further to include web scraping, working with maps, creating interactive reports, machine learning, and others. While there’s a place for theory, ethics, and statistical methods, librarians need a tool to help them acquire enough facility with R to utilize data science skills in their daily work, no matter what type of library they work at (academic, public or special). By walking through each skill and its application to library work before walking the reader through each line of code, this book will support librarians who want to apply data science in their daily work. Hands-On Data Science for Librarians is intended for librarians (and other information professionals) in any library type (public, academic or special) as well as graduate students in library and information science (LIS).
Key Features:
Only data science book available geared toward librarians that includes step-by-step code examples
Examples include all library types (public, academic, special)
Relevant datasets
Accessible to non-technical professionals
Focused on job skills and their applications
