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Excel Data Processing

Mis à jour le 2026-04-22Confiance : high
excel-parsingdata-integrationbusiness-intelligenceserial-datesmulti-sheet-processingdata-mappingreal-estate-analysisproperty-scoring

Patterns and techniques for parsing complex Excel files and integrating business data into web applications, particularly for financial planning, business intelligence, and property analysis use cases.

Excel File Complexity Patterns

Real business Excel files contain multiple analysis approaches, reference data, and calculated fields that require careful extraction:

# Multi-sheet processing with pandas
sheets = pd.read_excel(file_path, sheet_name=None)
properties_df = sheets['MAISONS']
land_values_df = sheets['Valeur du terrain non-constructible']

Property Analysis Methodology

Advanced Excel analysis patterns for real estate evaluation demonstrate sophisticated data modeling:

Value Decomposition Approach:

  • Separate terrain value from building value
  • Apply market rates (50-80€/m² for garden space)
  • Calculate theoretical price allocation
  • Score based on terrain size priority

Multi-Criteria Scoring:

  • Terrain area (primary weight)
  • Budget constraints
  • Location preferences
  • Self-sufficiency calculations (permaculture space requirements)

Data Integration Patterns

Converting Excel business logic into automated systems:

def calculate_property_score(property_data, criteria):
    # Extract Excel scoring methodology
    terrain_score = score_terrain_size(property_data.terrain_m2)
    price_score = score_price_efficiency(property_data.price, criteria.max_budget)
    location_score = score_location_match(property_data.location, criteria.preferred_areas)
    
    # Weighted combination matching Excel formula
    total_score = (terrain_score * 0.5 + 
                  price_score * 0.3 + 
                  location_score * 0.2)
    return min(10, total_score)

Reference Data Management

Excel files often contain reference datasets for validation and calculation:

  • Land valuation data (PERVAL/DVF sources)
  • Market comparison tables
  • Self-sufficiency requirement calculations
  • Fencing and infrastructure cost estimates

See also