- Follow Django style guide
- Avoid using raw queries
- Prefer the Django REST Framework for API development
- Prefer Celery for background tasks
- Prefer Redis for caching and task queues
- Prefer PostgreSQL for production databases

## Build & Development Commands - Ensure `.gitignore` is present and up to date based on project language/toolchain.
## Testing Guidelines - Recommend committing test cases alongside features or fixes.
## Code Style & Guidelines  - Use consistent formatting tools (e.g., Prettier, Black) pre-commit if available.
## Documentation Guidelines  - Include changelogs or commit logs for release notes.
## Git Rules - Use clear commit messages: `<type>: <what>` (e.g., `fix: resolve header overlap`). - Squash trivial commits when possible before merging. - Warn users when suggesting force pushes or rebase.

Create an exploratory data analysis workflow that includes:

Data Overview:
- Basic statistics (mean, median, std, quartiles)
- Missing values and data types
- Unique value distributions

Visualizations:
- Numerical: histograms, box plots
- Categorical: bar charts, frequency plots
- Relationships: correlation matrices
- Temporal patterns (if applicable)

Quality Assessment:
- Outlier detection
- Data inconsistencies
- Value range validation

Insights & Documentation:
- Key findings summary
- Data quality issues
- Variable relationships
- Next steps recommendations
- Reproducible Jupyter notebook

The user has provided the following information:

Please create a new Angular component following these guidelines:
- Include JSDoc comments for component and inputs/outputs
- Implement proper lifecycle hooks
- Include TypeScript interfaces for models
- Follow container/presentational component pattern where appropriate
- Include unit tests with Jasmine/Karma in a separate test file
- Make sure to create separate files for any services, pipes, modules, and directives