├── requirement.txt ├── Python Report.pdf ├── Python Report File.pdf └── README.md /requirement.txt: -------------------------------------------------------------------------------- 1 | 2 | -------------------------------------------------------------------------------- /Python Report.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shauryaverma03/Car-Sales-Data-Analysis-with-Python/HEAD/Python Report.pdf -------------------------------------------------------------------------------- /Python Report File.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shauryaverma03/Car-Sales-Data-Analysis-with-Python/HEAD/Python Report File.pdf -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Car Sales Data Analysis with Python 🚗📊 2 | 3 | Welcome to the **Car Sales Data Analysis with Python** repository! This project showcases the power of Python and Jupyter Notebooks in analyzing car sales data. From visualizations to insights, this repository is a one-stop destination for exploring car sales trends and making data-driven decisions. 4 | 5 | --- 6 | 7 | ## 📋 Table of Contents 8 | 9 | - [Overview](#overview) 10 | - [Features](#features) 11 | - [Installation](#installation) 12 | - [Usage](#usage) 13 | - [Technologies Used](#technologies-used) 14 | - [Project Structure](#project-structure) 15 | - [Contributing](#contributing) 16 | - [License](#license) 17 | 18 | --- 19 | 20 | ## 🌟 Overview 21 | 22 | In this project, we analyze car sales data using Python to uncover trends, patterns, and actionable insights. The goal is to provide a comprehensive analysis pipeline that can be adapted for different datasets and business use cases. 23 | 24 | --- 25 | 26 | ## ✨ Features 27 | 28 | - **Data Cleaning & Preprocessing**: Handle missing values, normalize data, and prepare it for analysis. 29 | - **Exploratory Data Analysis (EDA)**: Gain insights through visualizations and descriptive statistics. 30 | - **Sales Trend Analysis**: Identify seasonal trends, top-performing car models, and regions. 31 | - **Visualization**: Generate interactive and static plots to present findings effectively. 32 | 33 | --- 34 | 35 | ## ⚙️ Installation 36 | 37 | 1. Clone the repository: 38 | ```bash 39 | git clone https://github.com/shauryaverma03/Car-Sales-Data-Analysis-with-Python.git 40 | ``` 41 | 2. Navigate to the project directory: 42 | ```bash 43 | cd Car-Sales-Data-Analysis-with-Python 44 | ``` 45 | 3. Create a virtual environment: 46 | ```bash 47 | python -m venv env 48 | ``` 49 | 4. Activate the virtual environment: 50 | - **Windows**: `.\env\Scripts\activate` 51 | - **macOS/Linux**: `source env/bin/activate` 52 | 5. Install the required dependencies: 53 | ```bash 54 | pip install -r requirements.txt 55 | ``` 56 | 57 | --- 58 | 59 | ## 🚀 Usage 60 | 61 | 1. Open the Jupyter Notebook: 62 | ```bash 63 | jupyter notebook 64 | ``` 65 | 2. Navigate to the project notebook and execute the cells step by step to perform the analysis. 66 | 67 | --- 68 | 69 | ## 🛠️ Technologies Used 70 | 71 | - **Python**: Core programming language for data analysis. 72 | - **Jupyter Notebook**: Interactive environment for running and documenting the analysis. 73 | - **Pandas**: Data manipulation and analysis. 74 | - **Matplotlib/Seaborn**: Data visualization libraries. 75 | 76 | --- 77 | 78 | ## 📂 Project Structure 79 | 80 | ``` 81 | Car-Sales-Data-Analysis-with-Python/ 82 | │ 83 | ├── data/ # Raw and processed datasets 84 | ├── notebooks/ # Jupyter Notebooks for analysis 85 | ├── visuals/ # Generated plots and visualizations 86 | ├── requirements.txt # Python dependencies 87 | └── README.md # Project documentation 88 | ``` 89 | 90 | --- 91 | 92 | ## 🤝 Contributing 93 | 94 | Contributions are welcome! If you'd like to make this project better, please fork the repository, create a new branch, and submit a pull request. Here's how: 95 | 96 | 1. Fork the repository. 97 | 2. Create a new branch: 98 | ```bash 99 | git checkout -b feature/YourFeatureName 100 | ``` 101 | 3. Commit your changes: 102 | ```bash 103 | git commit -m "Add some feature" 104 | ``` 105 | 4. Push to the branch: 106 | ```bash 107 | git push origin feature/YourFeatureName 108 | ``` 109 | 5. Open a pull request. 110 | 111 | --- 112 | 113 | ## 📄 License 114 | 115 | This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details. 116 | 117 | --- 118 | 119 | ### 📧 Contact 120 | 121 | For any questions or feedback, feel free to reach out: 122 | 123 | - **GitHub**: [shauryaverma03](https://github.com/shauryaverma03) 124 | - **Email**: [shauryaverma03@gmail.com](mailto:shauryaverma036@gmail.com) 125 | 126 | --- 127 | 128 | Happy analyzing! 🚗📊 129 | --------------------------------------------------------------------------------