If you have Python installed, you can install Jupyter using PIP:

pip install notebook

• Required Libraries: This notebook requires the following libraries:

  • pandas
  • numpy
  • XlsxWriter
  • ydata-profiling

Setting Up the Environment

1. Clone the Repository: If the notebook is hosted in a version control system such as GitHub, provide instructions to clone the repository. For example:

git clone https://github.com/BoPDA1607/DataGotTalent2023_TeamEcoByte.git
cd DataGotTalent2023_TeamEcoByte

2. Virtual Environment (optional but recommended): Create a virtual environment to isolate the package dependencies locally:

python -m venv venv
source venv/bin/activate  # On Windows use `venv\Scripts\activate`

3. Install Dependencies: Inside the activated virtual environment, install the required libraries specified in a requirements.txt file (if provided):

pip install -r requirements.txt

4. Launch Jupyter Notebook: Run Jupyter Notebook and open the .ipynb file:

jupyter notebook

Once Jupyter Notebook is running, navigate to the .ipynb file in the browser and click on it to open the notebook.

5. Running the Notebook: Execute the cells in the notebook in sequence by pressing Shift + Enter on each cell or using the run button in the toolbar.