R for Data Science: Import, Tidy, Transform, Visualize, and Model Data Import data from various sources: Easily import data from files, databases, and web APIs. Tidy data for analysis: Restructure and clean data into a consistent format for efficient analysis. Transform data with ease: Apply transformations like filtering, sorting, grouping, and aggregating to manipulate data. Visualize data effectively: Create interactive visualizations like charts, graphs, and maps to explore and understand data patterns. * Model data for insights: Build predictive models using regression, classification, and clustering algorithms to uncover hidden relationships and make informed decisions.