Data Management in R: A Guide for Social Scientists

Length: 272 pages
Edition: 1
Language: English
Publisher: SAGE Publications Ltd
Publication Date: 2021-01-12
ISBN-10: 1526459965
ISBN-13: 9781526459961
Sales Rank: #0 (See Top 100 Books)

An invaluable, step-by-step guide to data management in R for social science researchers.

This book shows students how to recode data, combine data from different sources, document data, and import data from statistical packages other than R. It explores both qualitative and quantitative data and is packed with a range of supportive learning features such as code examples, overview boxes, images, tables, and diagrams.

Cover
Half Title
Publisher Note
Title Page
Copyright Page
Contents
About the Author
Preface
1 Introduction
2 Building Blocks of Data
3 Rectangles of Variables and Observations: Data Frames and Their Management
4 Data Tables and the Tidyverse
5 Handling Data from Social Science Surveys
6 Managing Data from Complex Samples
7 Dates, Times, and Time Series
8 Spatial/Geographical Data
9 Text as Data
Bibliography
Index