AnalyzeKit: Because Life's Too Short for Mundane Analysis!

AnalyseKit is a web application that provides automated exploratory data analysis (EDA) for CSV datasets. It allows users to quickly understand their dataset by visualizing key insights and statistical summaries.

Features

• Upload Dataset: Easily upload your CSV dataset for analysis.
• Basic Analysis: View basic statistics and summaries for your dataset.
• Categorical Analysis: Explore categorical features with interactive visualizations.
• Numerical Analysis: Analyze numerical features with histograms, scatter plots, and more.

"Understand Your Data Quickly and Easily"

AnalyzeKit helps you gain insights into your dataset quickly and easily, allowing you to make informed decisions based on your data.

Installation

1. Clone this repository:

   git clone https://github.com/your_username/analysekit.git

2. Navigate to the project directory:

   cd analysekit

3. Install the required dependencies:

   pip install -r requirements.txt

Usage

1. Run the Streamlit app:

   streamlit run app.py

2. Access the app in your web browser:

   http://localhost:8501
   

3. Upload your CSV dataset and choose the desired analysis option from the sidebar.

Technologies Used

• Python
• Streamlit
• Pandas
• Scikit-learn
• Matplotlib
• Seaborn
• scipy

Contributing

Contributions are welcome! Feel free to open issues or pull requests for bug fixes, features, or enhancements.

License

This project is licensed under the MIT License.

Author

• Harshal Panchal