This repository provides a data visualization project that analyzes and visualizes automobile-related data. The project's goal is to provide insights on many aspects of the automotive business, such as vehicle features, sales patterns, and market analysis.
The dataset used in this study is called "Automobiles." It has a comprehensive collection of data points about many sorts of autos, including make, model, year, price, fuel efficiency, and more. The dataset is stored in the 'data' directory.
Python Jupyter Notebooks Pandas Matplotlib Seaborn
The project is organized as follows:
Data: Contains the dataset files. Notebook: Jupyter notebooks for data exploration, cleaning, and visualization. Visualizations: Saved plots and visualizations generated during the analysis.
The project results in various visualizations, insights, and analysis findings, providing a better understanding of the trends and patterns within the automobile industry.
Feel free to contribute to this project by opening issues or submitting pull requests. Your feedback and enhancements are highly appreciated.