iPhone Sales Performance Analysis

Description:

This project analyzes and visualizes the sales performance of various iPhone models. The goal is to identify the top performing and least performing iPhones based on their sales data and provide insights through data visualization.

Features:

• Data Collection: Aggregates sales data for different iPhone models.
• Data Analysis: Processes and analyzes the sales data to identify patterns and trends.
• Visualization: Creates interactive bar charts and graphs to display the top performing and least performing iPhones.
• Reporting: Generates insights and reports on iPhone sales performance.

Technologies Used

• Python: For data processing and analysis.
• Pandas: For data manipulation.
• Plotly: For creating interactive visualizations.

How to Use

1. Clone the repository:

   git clone https://github.com/your-username/product-performance-analysis.git

2. Install dependencies:

   pip install -r requirements.txt

3. Run the analysis:

   python analyze_sales.py

Contribution

Feel free to fork this repository and submit pull requests. For major changes, please open an issue first to discuss what you would like to change.

This project is licensed under the MIT License.

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