```json { "proposals": [ { "join_class": "temporal", "column": "IPL_Matches_Data_2008_2026.date", "kind": "external_candidate", "entry_id": null, "name": "Indian public holidays", "probable_url": "https://www.calendarlabs.com/ical-calendar/ics/76/India_Holidays.ics", "license_expectation": "Public domain or permissive (typical for government holiday calendars)", "join_story": "IPL matches often avoid major Indian festivals and public holidays, or see different attendance patterns when scheduled near them. Joining holiday data would reveal whether match scheduling respects cultural calendar events and how results or venue choices vary around holiday periods.", "teaches": "Whether your match dates cluster away from major holidays, suggesting deliberate scheduling, or whether holiday-adjacent matches show different competitive patterns." }, { "join_class": "geo_state", "column": "IPL_Matches_Data_2008_2026.city", "kind": "external_candidate", "entry_id": null, "name": "Indian city-to-state mapping with population", "probable_url": "https://data.gov.in/catalog/city-wise-population", "license_expectation": "Open Government Data License - India", "join_story": "IPL cities span multiple Indian states with vastly different populations and cricket cultures. Mapping cities to states and their populations would show whether match distribution reflects population density or whether smaller states host disproportionately, and how home advantage varies by regional cricket strength.", "teaches": "Whether your venue distribution is population-proportional or whether certain states over-index in hosting, and how team performance correlates with the cricket culture of their home state." } ] } ```