Code Deliverable

Deliverables

1. Data Loading and Cleaning Code

Code to load, clean, and process your datasets. We should be able to run these steps and get your exact cleaned data. Include all data preprocessing, missing value handling, and feature engineering.

2. Data Integration Code

Since you're combining multiple data sources, provide the code used to join/merge your datasets. This is crucial for understanding your data integration approach.

3. Analysis Code with Seeds

All analytical code including model fitting, statistical tests, and validation. Use appropriate seeds so we can literally get your results! Include:

• Exploratory Data Analysis (EDA) code
• Outlier screening and handling procedures
• Variable selection procedures
• Goodness of Fit testing and model assumption checks
• Model training and evaluation code
• Statistical analysis and hypothesis testing
• Cross-validation and model selection procedures

4. Graphics Generation Code

Code used to generate all graphics, tables, and visualizations in your report. Your Final Report must meet all graphics requirements: exactly 5 graphics (combination of tables and data visualizations including charts and graphs), with at least 1-2 being impressive "show-stoppers" with excellent visual design, coloring, and labeling. Use seeds where appropriate to ensure reproducible results.

5. Team Contributions Documentation

Include documentation noting any team member who does not contribute at least 80% of what is expected for the code deliverable. This can be a simple text file or comment block in your main notebook.

Format

• Code must be runnable
  
  Submit your code in a format that allows us to execute it. Include clear instructions for running your analysis, including any package dependencies.
• Code readability is essential
  
  Your code must be readable and well-organized. Use inline comments liberally to explain what each section does, why certain decisions were made, and any assumptions in your approach.