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#rstats Project: Analyzing Doctor Who Viewership

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In this project we work with a dataset on the popular British TV show, Doctor Who. This dataset was featured on the weekly community data project TidyTuesday. The goals of this project are two-fold. First, we recreate a data visualization from an online article. Specifically, this is a bar chart summarizing viewership over the seasons of Doctor Who. Next, we improve the visualization to a line plot that better displays the trend in viewership over time, annotated with the various actors who played the main character -- Doctor Who -- in each season, allowing us to explore more easily the relationship between the actors and viewership.
To accomplish these goals, we use R and packages primarily from the tidyverse (ggplot2, dplyr, etc.). The project is presented by Dr. Mine Çetinkaya-Rundel (Professor of the Practice of Statistical Science, Duke University) and Evan Dragich (BS in Psychology and Statistics, Class of 2023). The project was originally presented in Coding Out Loud, Episode 1.
To accomplish these goals, we use R and packages primarily from the tidyverse (ggplot2, dplyr, etc.). The project is presented by Dr. Mine Çetinkaya-Rundel (Professor of the Practice of Statistical Science, Duke University) and Evan Dragich (BS in Psychology and Statistics, Class of 2023). The project was originally presented in Coding Out Loud, Episode 1.