Visualizing Data with R: ggplot2, Leaflet, and Shiny

Raw data is only valuable when it tells a clear, compelling story. Visualizing data effectively is a crucial skill for any analyst, researcher, or developer looking to communicate insights clearly. In this text-based course, you will learn how to turn complex datasets into elegant static charts, interactive geographic maps, and dynamic web dashboards. You will build a solid foundation in R's powerful visualization ecosystem, moving from basic plotting principles to fully interactive web applications. Through clear written explanations and practical code snippets, you will master the tools needed to present data-driven narratives. What you'll learn: - Understand core data visualization principles and tidy data structure conventions - Create professional static plots, scatterplots, and bar charts using the ggplot2 package - Apply modern R practices, including the native pipe operator and tidyverse styling - Build interactive, responsive maps with geolocation data using Leaflet - Develop interactive web dashboards and user interfaces using the Shiny framework - Configure reactive programming elements to update your dashboards based on user input The course begins with foundational concepts of data structure and the grammar of graphics before guiding you through step-by-step written code explanations. You will progress from simple aesthetic mappings to advanced geographical plots and complete interactive web dashboards, practicing your skills through written exercises along the way. This course is designed for beginners who want to learn data visualization using R. No prior experience with ggplot2, Leaflet, or Shiny is required, though a basic familiarity with R syntax is helpful. Start reading today to master the art of data storytelling with R.