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.
Choose the evidence to analyse.
All sets
All product types
3 selected
When do queues happen?
Queue visuals count each distinct date and queue-start time once.
Exact queue starts over time
Each point is one eligible queueHow 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 productTime in Stock distribution
Select a band to view productsPreorder vs restock.
Compare stock duration, queue timing and sample sizes.
What behaves differently?
Small samples remain visible and are marked as limited evidence.
Product type comparison
Other is kept at the bottomSet comparison
Main ranking requires 3 confirmed durationsSee 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.