Nils B Weidmann

Data Management for Social Scientists

• Gebundenes Buch

Produktbeschreibung

The 'data revolution' offers many new opportunities for research in the social sciences. Increasingly, social and political interactions can be recorded digitally, leading to vast amounts of new data available for research. This poses new challenges for organizing and processing research data. This comprehensive introduction covers the entire range of data management techniques, from flat files to database management systems. It demonstrates how established techniques and technologies from computer science can be applied in social science projects, drawing on a wide range of different applied examples. This book covers simple tools such as spreadsheets and file-based data storage and processing, as well as more powerful data management software like relational databases. It goes on to address advanced topics such as spatial data, text as data, and network data. This book is one of the first to discuss questions of practical data management specifically for social science projects. This title is also available as Open Access on Cambridge Core.

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Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 200
• Erscheinungstermin: 9. März 2023
• Englisch
• Abmessung: 229mm x 152mm x 14mm
• Gewicht: 494g
• ISBN-13: 9781108845670
• ISBN-10: 1108845673
• Artikelnr.: 63597579

Autorenporträt

Nils B. Weidmann is Professor of Political Science at the University of Konstanz.

Inhaltsangabe

Part I. Introduction: 1. Motivation
2. Gearing up
3. Data = content + structure
Part II. Data in Files: 4. Storing data in files
5. Managing data in spreadsheets
6. Basic data management in R
7. R and the tidyverse
Part III. Data in Databases: 8. Introduction to relational databases
9. Relational databases and multiple tables
10. Database fine-tuning
Part IV. Special Types of Data: 11. Spatial data
12. Text data
13. Network data
Part V. Conclusion: 14. Best practices in data management.