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Understand the pattern behind a place

Tool-neutral methods for selecting aggregate venue data, checking time windows and understanding busyness. VenueHours is in development; these methods work without it.

  • How to find historical foot traffic data for the dates you need

    Learn how to find historical foot traffic data by separating dated observations, typical patterns and current activity before evaluating a sample.

  • How to get foot traffic data that fits your venue question

    Learn how to get foot traffic data by checking the place, metric, time window and permitted access, with a small tested sample-selection example.

  • What a venue busyness score can and cannot tell you

    Understand a venue busyness score by checking its baseline, time context and availability, with tested examples separating relative scores and counts.

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