This Jupyter Notebook showcases my Data Science study of a Video Game Sales dataset consisting of 16,598 records and 11 features, it was obtained from Kagle under the title "Video Game Sales". This analysis includes descriptive statistics, missing values, data types, and correlations.
- Exploring numerical and categorical features.
- Descriptive statistics and visualization.
- Identification of missing values and data types.
- Correlation analysis to identify relationships between features.