Video Game Analysis Using RAWG Dataset
- Mohammad Javad Farokhi Darani: Data collection, data preprocessing, analysis, and visualization.
This project is licensed under the MIT License - see the LICENSE file for details.
This project analyzes video game data from the RAWG database, exploring trends in game genres and platforms over the decades. The RAWG dataset includes detailed information on games, such as their release dates, genres, and platforms.
- The
rawg
dataset is sourced from Kaggle. - The
rawg_by_metric
is scraped from RAWG database - The
vgsales
datas is sourced from Kaggle
The analysis focuses on answering these questions:
- What are the most popular game genres in each decade, and how has this changed over time?
- Are there any genres that are exclusive to specific platforms?
- Can we identify trends or patterns in the rise and fall of different genres?
To install the necessary dependencies, run the following command:
pip install pandas matplotlib numpy plotnine
To reproduce the analysis, run the provided Jupyter notebook. The notebook includes detailed steps for data preprocessing, analysis, and visualization.