Introduction to Political Analysis in R is a comprehensive guide for students and researchers eager to delve into the intersection of Data Science, statistics, and political science. 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. The text adopts a progressive structure, beginning with the basics of R and data manipulation before advancing to more complex topics such as data visualization, spatial analysis, text analysis, and modeling. R is widely regarded as the lingua franca of data analysis; in political science, R is arguably the most commonly used language. In developing your skills as a data analyst, you will become part of this global community of R users. The term “data visualization” is everywhere. This chapter provides an orientation to some of the fundamental tools for constructing data visualizations in R. By far, the most common set of tools for visualizing data in R come from the tidyverse, the graphics package ggplot2.

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