A data analysis project focused on exploring and visualizing video game sales and trends using Python, Matplotlib, and Seaborn.
This project performs Exploratory Data Analysis (EDA) on a video games dataset to uncover insights related to sales, genres, platforms, and release trends using effective data visualization techniques.
- Language: Python
- Libraries:
- Pandas
- NumPy
- Matplotlib
- Seaborn
- Top-selling video games analysis
- Genre-wise and platform-wise sales distribution
- Year-wise sales trends
- Correlation analysis using heatmaps
- Count plots and bar charts for categorical insights