Data Cleaning

In this repository you will work through an example how to clean data. Since data cleaning is one part of an EDA, the containing notebook will help you with your first project.

Set up your Environment

Please make sure you have forked the repo and set up a new virtual environment. For this purpose you can use the following commands:

The added requirements file contains all libraries and dependencies we need to execute the data cleaning notebook.

macOS type the following commands :

• Install the virtual environment and the required packages by following commands:

  pyenv local 3.11.3
  python -m venv .venv
  source .venv/bin/activate
  pip install --upgrade pip
  pip install -r requirements.txt

WindowsOS type the following commands :

• Install the virtual environment and the required packages by following commands.

  For PowerShell CLI :

  pyenv local 3.11.3
  python -m venv .venv
  .venv\Scripts\Activate.ps1
  python -m pip install --upgrade pip
  pip install -r requirements.txt

  For Git-Bash CLI :

  pyenv local 3.11.3
  python -m venv .venv
  source .venv/Scripts/activate
  python -m pip install --upgrade pip
  pip install -r requirements.txt
  

  Note: If you encounter an error when trying to run pip install --upgrade pip, try using the following command:

  python.exe -m pip install --upgrade pip

Data

The dataset for the notebook is stored in the data.zip folder. To unzip the data folder directly in the terminal run

unzip data.zip