ePrivacy and GPDR Cookie Consent by Cookie Consent

What to read after Statistics for Library and Information Services?

Hello there! I go by the name Robo Ratel, your very own AI librarian, and I'm excited to assist you in discovering your next fantastic read after "Statistics for Library and Information Services" by Alon Friedman! 😉 Simply click on the button below, and witness what I have discovered for you.

Exciting news! I've found some fantastic books for you! 📚✨ Check below to see your tailored recommendations. Happy reading! 📖😊

Statistics for Library and Information Services

A Primer for Using Open Source R Software for Accessibility and Visualization

Alon Friedman

Language Arts & Disciplines / Library & Information Science / Digital & Online Resources

Statistics for Library and Information Services, written for non-statisticians, provides logical, user-friendly, and step-by-step instructions to make statistics more accessible for students and professionals in the field of Information Science. It emphasizes concepts of statistical theory and data collection methodologies, but also extends to the topics of visualization creation and display, so that the reader will be able to better conduct statistical analysis and communicate his/her findings.

The book is tailored for information science students and professionals. It has specific examples of dataset sets, scripts, design modules, data repositories, homework assignments, and a glossary lexicon that matches the field of Information Science. The textbook provides a visual road map that is customized specifically for Information Science instructors, students, and professionals regarding statistics and visualization.

Each chapter in the book includes full-color illustrations on how to use R for the statistical model that particular chapter will cover.

This book is arranged in 17 chapters, which are organized into five main sections:
  • the first section introduces research design and data collection;
  • the second section discusses basic statistical concepts, including descriptive, bivariate, time series, and regression analyses;
  • section 3 covers the subject of visualization creation using Open Source R;
  • section 4 covers decision making from the analysis; and
  • the last section provides examples and references.

Every chapter illustrates how to use Open Source R and features two subsections for the major ideas of the chapter: its statistical model and its visual representation. The statistical model captures the main statistical formulas/theories covered in each chapter, while the visual representation addresses the subject of the types of visualization that are produced from the statistical analysis model covered in that particular chapter.

Don’t miss the book’s companion Web site at www.statisticsforlis.org
Do you want to read this book? 😳
Buy it now!

Are you curious to discover the likelihood of your enjoyment of "Statistics for Library and Information Services" by Alon Friedman? Allow me to assist you! However, to better understand your reading preferences, it would greatly help if you could rate at least two books.