Includes bibliographical references (pages 317-319) and index.
Contents:
Introduction -- Information -- Welcome to R -- Telling a Data Story: Examining Individual Records -- The Pulse of the City: Observing Variable Patterns -- Uncovering Information: Making and Creating Variables -- Information: Unit I Summary and Major Assignments -- Measurement -- Measuring with Big Data -- Making Measures from Records: Aggregating and Merging Data -- Mapping Communities -- Advanced Visual Techniques -- Measurement: Unit II Summary and Major Assignments -- Discovery -- Beyond Measurement: Inferential Statistics (and Correlations) --Identifying Inequities across Groups: ANOVA and t-Test -- Unpacking Mechanisms Driving Inequities: Multivariate Regression -- Discovery: Unit III Summary and Major Assignments -- The Other Tools -- Advanced Analytic Techniques -- Emergent Technologies -- The Other Tools: Unit IV Summary and Major Assignments.
Summary:
"This book is an onramp to the study of urban informatics, intended for advanced undergraduate and graduate level methods courses that want to maintain a linkage with substantive themes relevant to communities (and individual learners with similar goals; also see Q 9). It is developed from my experience as Director of Masters of Science in Urban Informatics at Northeastern University and the primary instructor for the introductory course, "Big Data for Cities" since 2014. Importantly, it is ostensibly a methods textbook that introduces the reader to the tools of data management, analysis, and manipulation using R statistical software, but it also has a pervasive conceptual curriculum"-- Provided by publisher.
This resource is supported by the Institute of Museum and Library Services under the provisions of the Library Services and Technology Act as administered by State Library of Iowa.