This project involves the analysis of video game sales data using Python and popular data analysis libraries such as Pandas, NumPy, Matplotlib, and Seaborn.
The project focuses on exploring and visualizing video game sales data obtained from the 'vgsales.csv' file. It covers various aspects, including platform-specific sales, genre preferences, regional sales comparisons, sales trends over the years, top-selling games, and more.
- Ensure you have the required Python libraries installed (
pandas,numpy,matplotlib,seaborn). - Run the script to analyze the video game sales data.
- Explore the different visualizations and insights generated from the analysis.
- Data Cleaning and Exploration
- Grouping and Aggregation
- Data Visualization using Barplots, Countplots, Pie Charts, Lineplots, and Boxplots
- Cross-tabulation and Heatmap for Correlation Analysis
Feel free to connect with me on LinkedIn.