Data Cleaning: How the pros do the dirty work

This repository contains hosts code and files for the tutorial "Data Cleaning: How the pros do the dirty work".

In this tutorial, you'll dive straight into the trenches of transforming messy, real-world data into something pristine and usable.

Instructions to install:

The easiest way to get started on the tutorial is by clicking on this binder link:

• Install Python3.x and pip
• Create a virtual environment python3 -m venv data-cleaning-tutorial-env
• Activate virtual environment source data-cleaning-tutorial-env/bin/activate
• Install dependencies pip install -r requirements.txt
• Run Jupyter-lab on the project root jupyter-lab
• Open index.ipynb, follow the instructions, and run the code!
• Follow the tutorial!