Planning to watch a movie and wondering if you can trust online ratings and reviews? Especially when the rating company also profits from selling movie tickets, could there be a bias in their ratings?
This project aims to analyze and visualize Fandango movie ratings to determine if there is any bias in their rating system. By examining the data, we seek to uncover any tendencies for overrating or underrating movies.
The goal of this project is to investigate the reliability of Fandango's movie ratings by comparing them with ratings from other sources.
This project was part of my coursework and was implemented using Python. The following libraries were utilized:
- NumPy: For numerical operations.
- Pandas: For data manipulation and analysis.
- Seaborn: For statistical data visualization.
- Matplotlib: For creating static, animated, and interactive visualizations.
All the graphs generated from this project can be found in the results folder.
The project was developed using:
- PyCharm:
main.py - Jupyter Notebook:
AnalysFandangoRatings.ipynb
To get a copy of the project up, follow these steps:
- Clone the repository:
git clone https://github.com/den1ksk/AnalysFandangoRatings.git