While the exact columns depend on the specific version, students typically analyze these features for classification or regression tasks:
Demographic info, technical logs, or incident-based data (e.g., timestamps, location coordinates, event types). Siu0207_2019.zip
💡 If you are using this for a course assignment, ensure you check for any "Data Dictionary" files inside the zip; these define every column (feature) and its measurement scale. To help you build the feature or model you need: While the exact columns depend on the specific
Cleaning null values and generating 10+ visualizations to find correlations. or incident-based data (e.g.
Do you need a to extract and load this specific zip into a dataframe?