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.

Set
All sets
Product type
All product types
Reliability
3 selected
Loading analysis scope…
Queue activity

When do queues happen?

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

Queues by day of week

Choose a day to inspect its queues

Exact queue starts over time

Each point is one eligible queue
Duration distributions

How long do things take?

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

Queue → Drop distribution

Switch between first and average product

Time in Stock distribution

Select a band to view products
Direct comparison

Preorder vs restock.

Compare stock duration, queue timing and sample sizes.

Product behaviour

What behaves differently?

Small samples remain visible and are marked as limited evidence.

Product type comparison

Other is kept at the bottom

Set comparison

Main ranking requires 3 confirmed durations
Record explorer

See the data behind the measures.

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

Methodology and calculation rules

Queue grain

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

Product grain

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

Reliability

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

Time in Stock

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.