/challenge-dataset-black-friday

Extracting some quantitative information to understand the nature of the data from the Black Friday dataset (Kaggle).

Primary LanguagePythonMIT LicenseMIT

Challenge with dataset Black Friday

For this challenge, the Black Friday (Kaggle) dataset was used, which gathers data on purchase transactions in a retail store.

It was used to practice exploring datasets using Pandas.

For more details, access the notebook.

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Prerequisites   |    Getting started   |    How to contribute   |    License

☑️ Prerequisites

🆙 Getting started

  • Clone this repo
  • Enter the folder challenge-dataset-black-friday
  • Run source venv/bin/activate to activate the virtual environment
  • Run pip install -r requirements.txt to install the dependencies
  • Run jupyter notebook to start the local jupyter environment
  • Access http://localhost:8888/

✏️ How to contribute

  • Make a fork;
  • Create a branck with your feature: git checkout -b my-feature;
  • Commit changes: git commit -m 'feat: My new feature';
  • Make a push to your branch: git push origin my-feature.

After merging your receipt request to done, you can delete a branch from yours.

📝 License

This project is under the MIT license. See the LICENSE for more information.

Made with by Roberto Sousa 👋 Get in touch!