Road Accident Analysis using Python's Pandas and Seaborn

First upload the dataset in the Google Colab Notebook     Python Libraries Import  From Colab Notebook Explanation:       This code imports several libraries that are commonly used for data analysis and visualization.   NumPy is a library for working with arrays and matrices of numerical data. It provides functions for mathematical operations on arrays, including linear algebra and Fourier transforms. pandas is a library for working with data in a tabular format. It provides data structures and functions for manipulating and analyzing data in a way that is similar to working with data in a spreadsheet. matplotlib is a library for creating static, animated, and interactive visualizations in Python. seaborn is a library built on top of matplotlib that provides a higher-level interface for creating statistical visualizations. In this code, NumPy and pandas are imported using the standard import statement, while matplotlib.pyplot and seaborn are imported using the import statement with a