Cine_Scope

This repository contains a Streamlit-based application for data analysis and visualization using popular Python data science libraries.

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📁 Repository Structure

├── data/          \# Folder containing your datasets
├── pages/         \# Additional Streamlit pages (if any)
├── Home.py        \# Main Streamlit application file
└── README.md      \# Project documentation (this file)

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🛠️ Requirements

Ensure you have the following Python packages installed:

• streamlit
• pandas
• numpy
• ast
• plotly
• matplotlib
• seaborn
• networkx
• scikit-learn
• requests
• streamlit-plotly-events

Install all requirements with:

pip install streamlit pandas numpy plotly matplotlib seaborn networkx scikit-learn requests streamlit-plotly-events

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📥 Dataset

Note: The dataset is not included in this GitHub repository.
You need to manually download the data from Kaggle:

• The Movies Dataset on Kaggle[2]

After downloading, place the dataset files inside the data/ folder.

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🚀 How to Run

1. Clone the repository:

   git clone <your-repo-url>
   cd <your-repo-folder>
   

2. Install the requirements (see above).

3. Run the Streamlit app:

   streamlit run Home.py
   

4. Open your browser and go to http://localhost:8501.

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