Aimed at equipping readers with the essential quantitative skills to analyze political data, the book bridges practical coding techniques in R with foundational statistical concepts, emphasizing real-world applications in politics. ics while developing transferable analytical skills.
Aimed at equipping readers with the essential quantitative skills to analyze political data, the book bridges practical coding techniques in R with foundational statistical concepts, emphasizing real-world applications in politics. ics while developing transferable analytical skills.
H. Whitt Kilburn is Associate Professor of Political Science, Grand Valley State University, Allendale, Michigan.
Inhaltsangabe
1.Introduction 2.Getting Started with R for Data Analysis 3.Importing, Cleaning, and Describing Data 4.Data Visualization 5.Data Wrangling: Cleaning and Transforming Data 6.Maps and Spatial Data 7.Scaling and Clustering for Pattern Detection 8.Patterns in Text as Data 9.Analyzing Election Studies 10.Linear Models 11.Evaluating and Extending Linear Models 12.Linear Models for Binary Outcomes
1.Introduction 2.Getting Started with R for Data Analysis 3.Importing, Cleaning, and Describing Data 4.Data Visualization 5.Data Wrangling: Cleaning and Transforming Data 6.Maps and Spatial Data 7.Scaling and Clustering for Pattern Detection 8.Patterns in Text as Data 9.Analyzing Election Studies 10.Linear Models 11.Evaluating and Extending Linear Models 12.Linear Models for Binary Outcomes
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