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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.

Data Management in R: A Guide for Social Scientists

1. Introduction

2. Building Blocks of Data

3. Data Frames

4. Data Tables and 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