3.0.0

• Created data analysis pipeline using GNU Make
• Abstracted code into functions with corresponding tests
• Review peer feedback

2.0.0

• Abstracted code from literate code report (*.ipynb) to scripts (.py files).
• Converted the the literate code report to a *.qmd file.
• Update the *.qmd report to conduct the analysis, display the results (i.e. figures and tables), and format the report.
• Updated the computational environment to include the click, tabulate, quarto, and make packages.

1.0.0

Milestone 2:

• Upgraded the project to use a container for the computational environment.
• Added data validation checks to the data analysis

0.0.1

Milestone 1:

• Draft a team work contract
• Set-up a public GitHub repository
• Create an appropriate file and directory structure for a data analysis project
• Add the data analysis as a literate code document (Jupyter)
• Ensure the computation environment reproducible through a virtual environment (conda)