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Python-Data-Science-Project : Data Analysis with Jupyter Notebook

πŸ“‚ Project Files

  • project46.ipynb β€” Jupyter Notebook containing the full data analysis.
  • datafile.csv β€” Dataset used for the project.

πŸ“š Description

This project involves exploring and analyzing the data provided in datafile.csv using Python libraries like Pandas, Matplotlib, and others.
The notebook includes data cleaning, visualization, and basic analysis steps.

πŸš€ How to Run

  1. Download both files.
  2. Open project46.ipynb using Jupyter Notebook or any compatible environment (Google Colab, VS Code, etc.).
  3. Make sure datafile.csv is in the same folder as the notebook.

πŸ›  Technologies Used

  • Python 3
  • Jupyter Notebook
  • Pandas
  • Matplotlib / Seaborn (optional for visualization)

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