tableau
for data analysts, Tableau developers
Why this scored 11
every term, weightedIts fastest-moving item, measured against the pace of its own source
Whether that velocity is itself speeding up, as a per-hour rate
How many independent communities its own items come from
Decays to zero over 14 days, counted from when we first saw it
Subtracted once something is big and old — sized by its biggest item, aged from when we first saw it
Weights are hand-tuned, not learned — we're calibrating them against realized trends as history accumulates. On an entity's first sighting there's no previous reading to compare against, so acceleration starts from a neutral prior rather than a measurement, and velocity falls back to engagement over its whole lifetime until a second reading exists. Full methodology
Signal history
7-day window (free)The evidence
The live items this entity's score aggregates — every community independently talking about it right now. This is the corroboration, shown, not claimed.
- 117
Dynamic date parameter that defaults from query / to filter other datasets for that specific date
Adds a dynamic date parameter for filtering datasets in Tableau dashboards. · for data analysts, Tableau developers
stackoverflowSteadydata1h ago - 24
Add value on Tableau sheet into a calculated field
Add value to Tableau · for data analysts
stackoverflowSteadydata98d ago