Interactive historical analysis

Analysis.

Explore when queues happen, how quickly products appear, and how long stock lasts. Every measure can be opened to see the records behind it.

Analysis scope

Choose the evidence to analyse.

FromTo Type Weekday

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Queue activity

Queue visuals count each distinct date and queue-start time once.

Choose a day to inspect its queues

Each point is one eligible queue

Duration distributions

Compare the delay after a queue opens with the time products remain in stock.

Choose a band to inspect queue events

Select a band to view products

Direct comparison

Compare stock duration, queue timing and sample sizes. Select a card to inspect its records.

Product behaviour

Small samples remain visible and are marked as limited evidence.

Other is kept at the bottom · Select a row for records

Ranked sets need 3 confirmed durations · Select a row for records

Record explorer

The table follows the global filters. Chart selections open directly beneath their visual.

Methodology and calculation rules

One event per DropDate + QueueStartTime. Products in the same queue do not increase the queue count.

One row per product drop. Product measures use the eligible product rows selected by the filters.

Great, Good and Okay are selected by default. Low, Bad and Not rated can be deliberately included.

Exact averages require product drop and same-day sold-out times with a non-negative duration. Not sold out same day is excluded from Analysis.