Analytics for Asia-Pacific Video Trends Understanding which regions drive traffic, which categories trend at which hours, and how K-pop compares to J-drama in engagement — these are the questions that shape content strategy for TopVideoHub . A lightweight Go backend serving pre-aggregated analytics to Chart.js covers all of it. Go Analytics Server package main import ( "database/sql" "encoding/json" "log" "net/http" _ "github.com/mattn/go-sqlite3" ) type Server struct { db * sql . DB } func main () { db , err := sql . Open ( "sqlite3" , "./data/topvideohub.db?_journal_mode=WAL" ) if err != nil { log . Fatal ( err ) } defer db . Close () s := & Server { db : db } mux := http . NewServeMux () mux . HandleFunc ( "/api/analytics/views-by-region" , s . viewsByRegion ) mux . HandleFunc ( "/api/analytics/trending-categories" , s . trendingCategories ) mux . HandleFunc ( "/api/analytics/peak-hours" , s . peakHours ) log . Println ( "Analytics server on :8080" ) log . Fatal ( http .…