Files
sales-data-analysis/SETUP_CHECKLIST.md
Jonathan Pressnell cf0b596449 Initial commit: sales analysis template
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-02-06 09:16:34 -05:00

3.3 KiB

Setup Checklist

Use this checklist to ensure your template is properly configured before running analyses.

Initial Setup

  • Install dependencies

    pip install -r requirements.txt
    
  • Run setup wizard

    python setup_wizard.py
    
  • Place data file in template directory (or update DATA_DIR in config.py)

Configuration Verification

Open config.py and verify:

  • Company Information

    • COMPANY_NAME is set
    • ANALYSIS_DATE is current
  • Data File

    • DATA_FILE matches your CSV filename
    • File exists in expected location
  • Column Mappings

    • REVENUE_COLUMN matches your CSV
    • DATE_COLUMN matches your CSV
    • CUSTOMER_COLUMN matches your CSV (if applicable)
    • ITEM_COLUMN matches your CSV (if applicable)
    • QUANTITY_COLUMN matches your CSV (if applicable)
  • Date Configuration

    • MIN_YEAR is correct
    • MAX_DATE is correct
    • ANALYSIS_YEARS includes all years you want to analyze
  • LTM Configuration (if needed)

    • LTM_ENABLED is set correctly
    • LTM_START_MONTH, LTM_START_YEAR are correct
    • LTM_END_MONTH, LTM_END_YEAR are correct
  • Exclusion Filters (if needed)

    • EXCLUSION_FILTERS['enabled'] is set correctly
    • exclude_by_column matches a column in your data
    • exclude_values list is correct

Data Loading Test

  • Test data loading

    python -c "from data_loader import load_sales_data; from config import get_data_path; df = load_sales_data(get_data_path()); print(f'✓ Loaded {len(df):,} rows')"
    
  • Verify date coverage

    • Check output shows good date coverage (>95% recommended)
    • Verify date range matches expectations
  • Verify revenue column

    • Check that revenue values are numeric
    • Verify no unexpected NaN values

First Analysis Test

  • Copy template

    cp analysis_template.py test_analysis.py
    
  • Run test analysis

    python test_analysis.py
    
  • Verify outputs

    • Chart generated successfully
    • Chart saved to charts/ directory
    • Revenue validation passed
    • No errors in console output

Common Issues Check

Before running full analyses, verify:

  • Column names match - All column mappings in config.py match your CSV
  • Date format works - Dates are parsing correctly (check data_loader output)
  • Date range is correct - MIN_YEAR and MAX_DATE include your data
  • LTM is configured - If using LTM, dates are within your data range
  • Exclusions work - If using exclusions, column and values are correct

Ready for Production

Once all checks pass:

  • Create your analyses using analysis_template.py
  • Add to batch runner in run_all_analyses.py
  • Run all analyses to generate complete analysis suite

🐛 Troubleshooting

If any check fails:

  1. Data loading issues: See .cursor/rules/data_loading.md
  2. Configuration issues: Review config.py comments
  3. Common errors: See .cursor/rules/common_errors.md
  4. Pattern questions: See .cursor/rules/analysis_patterns.md

Checklist Version: 1.0
Last Updated: January 2026