Welcome to the STAT679 Project repository! In this project, we apply advanced visualization techniques learned in the STAT679 class to analyze and interpret various datasets, showcasing our growth in data science skills, particularly in data visualization.

This project, rooted in the principles taught in STAT679, demonstrates how techniques from the class are directly applied to real-world data. We explore macroeconomic factors, company revenues, international trade influences, and the impact of news on stock prices through the lens of visualization.

Stock market data, often complex and voluminous, requires effective visualization for better understanding and analysis. This is a key concept we've honed in our STAT679 class. Our group has constructed a design studio on stock market data visualization, inspired by the visualization skills developed in the course. This studio serves stock managers and potential buyers, providing interactive visualization that connects stock trends with influencing factors such as Political and International Influence, Company Factors, News and Events, and Macro-economic variables. The datasets chosen reflect these categories, facilitating visualizations that answer critical questions posed in our STAT679 curriculum.

• Macro_economic_example.xlsx: An example of macroeconomic data.
• Company_factor_example.pdf: A PDF document detailing company factors.
• News_comments_example.csv: Dataset of news comments.
• Political_international_influence_example.csv: Data on political and international influences.
• Stock_price_example.csv: Example dataset of stock prices.

• Company Analysis: Applying visualization techniques learned in STAT679, we delve into company-specific data. MS2 Yuda.Rmd
• International Trade Analysis: This section uses class-taught methods to visualize international trade data. International.Rmd
• Macro Economy Analysis: Reflecting our coursework, we analyze macroeconomic factors through sophisticated visual representations. M2_Macro_Economy.html
• News Impact on Stock Prices: Here, we demonstrate how news affects stock prices using visualization methods from our STAT679 class. news.py

• Project Documentation
• Milestone 1 Overview

We extend our gratitude to the STAT679 instructors and classmates for the valuable visualization skills and knowledge that have greatly contributed to this project.