Data Analysis Project

This repository contains a Jupyter Notebook (Data-Analysis.ipynb) that demonstrates data analysis techniques using Python.

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📑 Notebook Overview

• Total cells: 1
• Code cells: 1
• Markdown cells: 0

The notebook includes code, explanations, and outputs that guide you through various steps of analyzing datasets.

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🚀 Features

• Data loading and preprocessing
• Exploratory Data Analysis (EDA)
• Visualization of insights using Python libraries
• Statistical analysis and/or machine learning (depending on dataset)

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🛠 Requirements

To run the notebook, install the following dependencies:

pip install -r requirements.txt

Typical libraries used include:

• pandas
• numpy
• matplotlib
• seaborn
• scikit-learn (if ML is applied)
• jupyter

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▶️ How to Run

1. Clone this repository or download the files.
2. Open the notebook:

   jupyter notebook Data-Analysis.ipynb

3. Run the cells sequentially to reproduce the analysis.

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📊 Results

The notebook demonstrates practical data analysis workflows, with step-by-step code and visualizations to interpret the dataset.

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📜 License

This project is licensed under the MIT License – feel free to use and adapt it.

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