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RiyaDhami13/README.md

Learn for learn

  • 👋 Hi, I’m @RiyaDhami13
  • 👀 I’m interested in learning ...
  • 🌱 I’m currently learning data science and big data...
  • 💞️ I’m looking to collaborate on the projects ...
  • 📫 How to reach me https://www.linkedin.com/in/riya-dhami-5b8785285/ ...

Exploratory Data Analysis (EDA)

A Python script to simplify and automate Exploratory Data Analysis (EDA).

Key Features

  • Load datasets from CSV files.
  • Get an overview of data shape, columns, types, and missing values.
  • Generate descriptive statistics for numerical features.
  • Create insightful visualizations:
    • Histograms
    • Count plots
    • Correlation heatmaps

Requirements

  • Python 3.7+
  • Libraries: pandas, numpy, matplotlib, seaborn

How to Use

  1. Clone the repository: 
    git clone <repository_url>
  2. Navigate to the project directory: 
    cd <project_directory>
  3. Install dependencies: 
    pip install -r requirements.txt
  4. Run the script: 
    python eda_script.py
  5. Provide the dataset path when prompted.

Contributions

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

License

This project is open-source and available under the MIT License.

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