Welcome to the Top Fast Food Giants: Stock Analysis repository! This project delves into the financial performance of the major fast-food companies by analyzing the data. We have cleaned and later, visualized stock prices by using Python, MySQL, and Power BI to analyze and visualize trends.
The objective of this project is to analyze the following stocks of prominent fast-food companies and uncover insights that speak about their trends or popularity. A few analysis key metrics are:
- Stock price trends over time.
- Volume of stock traded.
- Comparative analysis among competitors.
- Python: For data cleaning, handling, and exploratory data analysis (EDA).
- MySQL: To store and query datasets efficiently, and later be used as a storage for the dataset using a local database.
- Power BI: For creating dashboards and visualizations.
- Patterns in stock price movements.
- Identification of top-performing and underperforming companies over time.
Our interactive Power BI dashboard has a detailed view of:
- Stock trends over time
- Comparison of food types
- Insights into market behavior