Progress Summary

Data setup

• Acquired raw data
• Loaded and converted raw data into a DataFrame

Data cleaning

• Convert columns to appropriate datatypes
• Replace nulls with 0 where applicable
• Rename columns for clarity
• Standardize text case (capitalize or uppercase where needed)

Export / serialization

• Validate cleaned data table
• Export cleaned DataFrame to CSV

Analysis preparation

• Create lists/features for analysis
• Implement lists in code and convert to DataFrames
• Prepare DataFrames for analysis

In progress

• Ongoing tasks and refinements

Data visualization

• Create visualizations for each analysis
• Export visualizations to PNG and PDF
• Organize output paths for reproducibility