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
