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Credits: Instructor: William Taylor Speaking Script: Ben Graham, William Taylor, Bethlehem Kelecha R Script: Therese Anders, William Taylor Video Description This video covers the visualization of data over time using factors or facet wrapping within the ggplot2 package. It further discusses visualization customization options including the manual specification of colors, the usage of color palettes, and subsetting within facet wrapping. Additional Keywords: scale_color_manual(), scale_color_brewer() This video is part of the Security and Political Economy (SPEC) Lab curriculum in applied data science. The curriculum includes written walkthroughs, groupwork exercises, and homework (individual) exercises, all of which come with detailed answer keys. So don’t just watch the videos! Mastering this material requires working through the entire self-study curriculum, which is all free on our website. We cover data management and data visualization, with a focus on political science and international relations applications. This curriculum prepares students for PhD programs in the social sciences as well as jobs as research assistants and data scientists in academia, government, NGOs, and industry. You will learn to write elegant, well-annotated code to extract meaning from data and communicate that meaning to non-technical audiences. We teach data management using the tidyverse package (tidyr and dplyr) and data visualization using ggplot2. Chapters: 00:00 – 2:45: Visualizing Data Over Time Using factor(year) 2:46 – 3:25: Facet Wrapping 3:26: Subsetting Data Within Facet Wrapping