Comprehensive-Data-Analysis-Visualization-of-Apple-Product-Sales

Overview

This Python project analyzes Apple product sales data and builds predictive models to forecast sales performance. The application uses data visualization, clustering, predictive modeling, and a dashboard to summarize insights. It includes the following key features:

• Exploratory Data Analysis (EDA)
• Feature engineering and normalization
• Clustering analysis
• Predictive modeling using machine learning
• Hyperparameter tuning
• Interactive dashboard for visualization and insights

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Installation and Usage

Follow these steps to run the dashboard locally:

1. Clone the Repository

git clone https://github.com/your-username/Comprehensive-Data-Analysis-Visualization-of-Apple-Product-Sales.git

cd Comprehensive-Data-Analysis-Visualization-of-Apple-Product-Sales

2. Install Dependencies: Make sure Python is installed on your system. Then, install the required packages:

pip install -r requirements.txt

3. Add Dataset: Place the apple_sales_2024.csv file in the root directory.

4. Run the App: Start the application server:

python dashboard.py

4. Access the Dashboard: Open your browser and visit:

http://127.0.0.1:8050/

Contributions are welcome! Feel free to fork the repository and submit a pull request.