This project analyzes Heidelberg Cement Bangladesh's stock prices, covering 3,578 daily observations. I cleaned the data, calculated key statistics (volatility, percentage change, etc.), and created various visualizations: Static Visualization: A line plot showing stock price trends with a regression line. Interactive Visualization: An interactive plot created with Plotly. Animated Visualization: An animation showing stock price movement over time. The project highlights data cleaning, analysis, and visualization in R.

This project analyzes airline delay patterns using data visualization techniques in R. It examines carrier, ATC, and weather delays across different airlines to identify key trends. The goal is to understand the factors affecting airline punctuality and provide insights for improving operational efficiency.

calculations in R, Creating vectors

Intro to R

first class