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Extrapolation and Normalization

The extrapolated_count_normalized field contains a JSON object with extrapolated and normalized visit counts across six different levels of aggregation:

  1. placekey_count
    • Description: Raw visit count for this specific POI location
    • Granularity: Individual location level
    • Example: 42 visits to this specific AAA/CAA branch
  2. location_name_count
    • Description: Extrapolated count across all POIs with the same location name
    • Granularity: Location name level (all branches/locations of same business name)
    • Example: 1,633 total visits across all AAA/CAA locations
  3. brands_count
    • Description: Extrapolated count across all POIs associated with the same brand
    • Granularity: Brand level (similar to location_name but may include brand variants)
    • Example: 1,447 total visits across all AAA/CAA branded locations
  4. sub_category_count
    • Description: Extrapolated count across all POIs in the same sub-category
    • Granularity: Business sub-category level
    • Example: 485,794 total visits across all "Insurance Agencies and Brokerages"
  5. top_category_count
    • Description: Extrapolated count across all POIs in the same top-level category
    • Granularity: Business top-category level
    • Example: 471,736 total visits across all "Agencies, Brokerages, and Other Insurance Related Activities"
  6. naics_code_count
    • Description: Extrapolated count across all POIs with the same NAICS code
    • Granularity: Industry classification level (NAICS code 524210)
    • Example: 492,830 total visits across all businesses with NAICS code 524210

Normalization Methodology

The counts represent extrapolated and normalized values that account for:

  • Sampling bias correction: Adjusts for device penetration rates
  • Temporal normalization: Standardizes counts across different time periods
  • Geographic weighting: Accounts for regional population and device density differences
  • Category-specific adjustments: Applies category-appropriate scaling factors

Schema

To view or download schema, please view on desktop.