Build and validate festival statistics from daily_parse_data snapshots. Use when computing trends, editions, views per day, time-series tables, or preparing datasets for dashboard and website visualizations.
Use this skill for analytics tasks over daily_parse_data/*.csv and derived tables.
Use consistent definitions unless the user requests alternatives:
views for a festival.views(today) - views(previous_observation).daily_views_delta over last 7 observations.Default identifier priority:
swingplanit_linkname fallback when links differ across yearsWhen fuzzy logic is used, explicitly report assumptions and uncertainty.
observation_date.(observation_date, festival_key) rows.daily_views_delta values.When preparing data for UI/API, include:
festival_keyfestival_nameobservation_dateviewsdaily_views_deltaavg_views_per_day_7dedition_count_estimatePrefer stable, machine-friendly column names (snake_case).