games analysis

The Jupyter notebook focuses on analyzing a dataset related to video games, utilizing key Python libraries like `numpy`, `pandas`, `matplotlib`, and `seaborn` for data analysis and visualization. The dataset, read from a CSV file named `games_dataset.csv`, contains information about games, including attributes such as game name, genre, platform, release year, and user rating. Initial steps in the notebook involve loading the data and conducting a basic overview of the dataset's structure. This includes displaying column types and missing values, followed by descriptive statistics for the numerical columns like release year and user rating. The analysis sets the stage for a deeper exploration of trends and patterns within the gaming industry based on the provided data.