Milestone 4

3.0.0

add CHANGELOG.md

Milestone 3

Formulated qmd file and add scripts

Milestone 2

1. Write a Dockerfile to create a custom container for the computational environment for your project. Build your container using GitHub Actions, and publish your container image on DockerHub. When you add other software dependencies to this Dockerfile, ensure that you pin the version of the software that you add. You can do this most easily if you use our recommended environment.yml > conda-linux-64.lock > Dockerfile workflow that you learned about in individual_assignment2.
2. Add a GitHub Actions workflow to automatically build the image, push it to DockerHub, and version the image (using latest is okay for now) and GitHub repo when changes are pushed to the Dockerfile
3. Update the README with clear instructions for building and running the Docker image, so others can follow and test it.
4. Data Validation Checks: Only complete three of the data validation checks from the provided list—any three will suffice.

Milestone 1

This release captures the state of the project for Milestone 1 submission. It includes:

• Analysis using a simple linear regression model to predict marathon performance.
• README, CODE_OF_CONDUCT, CONTRIBUTING, LICENSE files.
• The computational environment captured using renv.