Analytics for a European Video Vault At ViralVidVault , understanding which European regions produce the most viral content is critical for tuning our fetch pipeline. We built a lightweight analytics dashboard with Go serving JSON data and Chart.js rendering the visualizations. Data Structures package analytics import "time" type RegionViralStats struct { Region string `json:"region"` TotalVideos int `json:"total_videos"` ViralCount int `json:"viral_count"` AvgScore float64 `json:"avg_score"` TopCategory string `json:"top_category"` } type ViralityTimeline struct { Date string `json:"date"` Region string `json:"region"` ViralCount int `json:"viral_count"` AvgScore float64 `json:"avg_score"` } type DashboardPayload struct { Regions [] RegionViralStats `json:"regions"` Timeline [] ViralityTimeline `json:"timeline"` UpdatedAt time .…