`R` is a programming language and free software environment for statistical computing and graphics. It's not only a powerful statistical programming language but also the go-to data analysis tool for many computational genomics experts. We will explore how high-dimensional genomics datasets can be analyzed with core R packages and functions.

In this activity we learned to: - load a real clinical cancer dataset - inspect rows and columns - summarize categorical variables - summarize numerical variables - identify missing or uncertain values - combine logical conditions - define a clinically meaningful subtype - compare relationships between variables - create plots for communication

This presentation introduces a Shiny application that predicts the estimated price of a diamond based on its carat and cut using the diamonds dataset from ggplot2.