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No-code Exploratory Data Analysis: DataProfile

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Installation

In the terminal from the home directory, use the command git clone, then paste the link from your clipboard, or copy the command and link from below:

git clone https://github.com/DataScientistTX/dataprofile.git

Change directories to the new ~/dataprofile directory:

cd dataprofile

To ensure that your master branch is up-to-date, use the pull command:

git pull https://github.com/DataScientistTX/dataprofile.git

Install required python packages using requirements.txt:

pip install -r requirements.txt

Usage

Ensure you are in the correct directory. If not, change directories to the new ~/dataprofile directory:

cd dataprofile

Run the script using Streamlit:

streamlit run app.py

The same app is also deployed to Streamlit: https://dataprofile.streamlit.app/

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

License

MIT License

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A Streamlit App for Y-Data Profiling

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