This project showcases Exploratory Data Analysis (EDA) using Python, primarily relying on the Pandas library for data manipulation and analysis, and Streamlit for building interactive web applications.
git clone https://github.com/kiraassefa19/python.git
cd app
pip install -r requirements.txt
Ensure your dataset is ready in CSV format.
Run the Streamlit application:
streamlit run main.py
Open your web browser and navigate to the provided URL (usually http://localhost:8501).
Upload your dataset using the file uploader widget in the Streamlit app.
Explore your data using the various functionalities provided in the app.
The project files are organized as follows:
main.py: Contains the main Streamlit application code.
requirements.txt: Lists all the Python dependencies required for the project.
Contributions are welcomed! If you have any suggestions, feature requests, or bug reports, please open an issue or submit a pull request.
This project is licensed under the MIT License. See the LICENSE file for details.
This project is part of the 10Academy week0 project, demonstrating the necessity for an intuitive tool for Exploratory Data Analysis. Special thanks to the tenx team, 10Academy, their partners, and to the developers of Pandas and Streamlit for creating such powerful libraries.