UID:
almafu_9961009571102883
Umfang:
1 online resource (xiii, 227 pages) :
,
digital, PDF file(s).
Ausgabe:
1st ed.
ISBN:
9781108997461
,
1108997465
,
9781108997669
,
110899766X
,
9781108990424
,
1108990428
Serie:
Methodological tools in the social sciences
Inhalt:
Much training in quantitative social science focuses on data analysis and fails to equip researchers with the skills to prepare the data required for this. This book is a comprehensive introduction to simple and advanced tools for data management, drawing on established concepts and techniques from computer science.
Anmerkung:
Also issued in print: 2023.
,
Cover -- Half-title -- Series information -- Title page -- Copyright information -- Dedication -- Contents -- Preface -- Part I Introduction -- 1 Motivation -- 1.1 Data Processing and the Research Cycle -- 1.2 What We Do (and Don't Do) in this Book -- 1.3 Why Focus on Data Processing? -- 1.4 Data in Files vs. Data in Databases -- 1.5 Target Audience, Requirements and Software -- 1.6 Plan of the Book -- 2 Gearing Up -- 2.1 R and RStudio -- 2.2 Setting Up the Project Environment for Your Work -- 2.3 The PostgreSQL Database System -- 2.4 Summary and Outlook -- 3 Data = Content + Structure -- 3.1 What Is Data? -- 3.2 Data Content and Structure -- 3.3 Tables, Tables, Tables -- 3.4 The Structure of Tables Matters -- 3.5 Summary and Outlook -- Part II Data in Files -- 4 Storing Data in Files -- 4.1 Text and Binary Files -- 4.2 File Formats for Tabular Data -- 4.3 Transparent and Efficient Use of Files -- 4.4 Summary and Outlook -- 5 Managing Data in Spreadsheets -- 5.1 Application: Spatial Inequality -- 5.2 Spreadsheet Tables and (the Lack of) Structure -- 5.3 Retrieving Data from a Table -- 5.4 Changing Table Structure and Content -- 5.5 Aggregating Data from a Table -- 5.6 Exporting Spreadsheet Data -- 5.7 Results: Spatial Inequality -- 5.8 Summary and Outlook -- 6 Basic Data Management in R -- 6.1 Application: Inequality and Economic Performance in the US -- 6.2 Loading the Data -- 6.3 Merging Tables -- 6.4 Aggregating Data from a Table -- 6.5 Results: Inequality and Economic Performance in the US -- 6.6 Summary and Outlook -- 7 R and the tidyverse -- 7.1 Application: Global Patterns of Inequality across Regime Types -- 7.2 A New Operator: The Pipe -- 7.3 Loading the Data -- 7.4 Merging the WID and Polity IV Datasets -- 7.5 Grouping and Aggregation -- 7.6 Results: Global Patterns of Inequality across Regime Types.
,
7.7 Other Useful Functions in the tidyverse -- 7.8 Summary and Outlook -- Part III Data in Databases -- 8 Introduction to Relational Databases -- 8.1 Database Servers and Clients -- 8.2 SQL Basics -- 8.3 Application: Electoral Disproportionality by Country -- 8.4 Creating a Table with National Elections -- 8.5 Computing Electoral Disproportionality -- 8.6 Results: Electoral Disproportionality by Country -- 8.7 Summary and Outlook -- 9 Relational Databases and Multiple Tables -- 9.1 Application: The Rise of Populism in Europe -- 9.2 Adding the Tables -- 9.3 Joining the Tables -- 9.4 Merging Data from the PopuList -- 9.5 Maintaining Referential Integrity -- 9.6 Results: The Rise of Populism in Europe -- 9.7 Summary and Outlook -- 10 Database Fine-Tuning -- 10.1 Speeding Up Data Access with Indexes -- 10.2 Collaborative Data Management with Multiple Users -- 10.3 Summary and Outlook -- Part IV Special Types of Data -- 11 Spatial Data -- 11.1 What Is Spatial Data? -- 11.2 Application: Patterns of Violence in the Bosnian Civil War -- 11.3 Reading and Visualizing Spatial Data in R -- 11.4 Spatial Data in a Relational Database -- 11.5 Results: Patterns of Violence in the Bosnian Civil War -- 11.6 Summary and Outlook -- 12 Text Data -- 12.1 What Is Textual Data? -- 12.2 Application: References to (In)equality in UN Speeches -- 12.3 Working with Strings in (Base) R -- 12.4 Natural Language Processing with quanteda -- 12.5 Using PostgreSQL to Manage Documents -- 12.6 Results: References to (In)equality in UN Speeches -- 12.7 Summary and Outlook -- 13 Network Data -- 13.1 What Is Network Data? -- 13.2 Application: Trade and Democracy -- 13.3 Exploring Network Data in R with igraph -- 13.4 Network Data in a Relational Database -- 13.5 Results: Trade and Democracy -- 13.6 Summary and Outlook -- Part V Conclusion -- 14 Best Practices in Data Management.
,
14.1 Two General Recommendations -- 14.2 Collaborative Data Management -- 14.3 Disseminating Research Data and Code -- 14.4 Summary and Outlook -- Bibliography -- Index.
Weitere Ausg.:
ISBN 9781108964784
Weitere Ausg.:
ISBN 1108964788
Weitere Ausg.:
ISBN 9781108845670
Weitere Ausg.:
ISBN 1108845673
Sprache:
Englisch
Fachgebiete:
Allgemeines
,
Soziologie
DOI:
10.1017/9781108990424
URL:
https://doi.org/10.1017/9781108990424
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