Data Visualization with R and ggplot2

Data is only as powerful as the story it tells, but turning raw numbers into clear visuals can be challenging without the right tools. This course guides you through the process of creating impactful data visualizations using R, a leading language for data science. You will progress from understanding basic graphical principles to building sophisticated, customized plots that reveal hidden patterns and trends in your data. You will learn how to: - Understand the fundamental principles of the grammar of graphics to structure any visualization. - Create essential plots including bar charts, histograms, scatter plots, and box plots using ggplot2. - Customize visual elements through themes, scales, and labels for professional-grade output. - Build interactive geographical maps using the Leaflet library for spatial data analysis. - Apply modern tidyverse workflows to prepare and clean data efficiently for visualization. - Implement accessible design choices such as color-blind friendly palettes and clear labeling. The course begins with core terminology and the logic behind data visualization before moving into written exercises for building and styling various plot types. It covers both static graphics and interactive components to ensure your data is accessible to any audience. This course is designed for beginners with no prior experience in data visualization or R programming. All concepts are explained through clear text and code examples. Start your journey into data storytelling today.