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Codecademy Data Science Path: Life Expectancy and GDP Portfolio Project

This work is the data vizualization portfolio project for Codecademy Data Scientist path.

The repository includes the following files:

  • life_expectancy_gdp.ipynb: Jupyter Notebook with analysis description, code and figures
  • all_data.csv: CSV file with GDP and life expectancy data used by life_expectancy_gdp.ipynb
  • CC-DSpath39.yml: conda environment used for creating the Notebook (some package are not used by this Notebook because this is the environment I used for the whole Codecademy course)

Conda is required for creating the development environment (it is suggested to install Miniconda).

From terminal navigate to the repository base directory.
Use the command conda env create -f CC-DSpath39.yml in your terminal to create the environment named CC-DSpath39.
Activate the environment with conda activate CC-DSpath39 and then run jupyter notebook.