https://github.com/venugopal9578/youtube-trending-sql-analysis

SQL project analyzing YouTube trending videos in India using Google BigQuery. Includes ranking, aggregation, and channel performance analysis with visuals.
https://github.com/venugopal9578/youtube-trending-sql-analysis

analytics bigquery dataanalysis freelance portfolio sql youtube

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SQL project analyzing YouTube trending videos in India using Google BigQuery. Includes ranking, aggregation, and channel performance analysis with visuals.

• Host: GitHub
• URL: https://github.com/venugopal9578/youtube-trending-sql-analysis
• Owner: Venugopal9578
• Created: 2025-07-15T09:46:47.000Z (11 months ago)
• Default Branch: main
• Last Pushed: 2025-07-15T09:51:43.000Z (11 months ago)
• Last Synced: 2025-08-08T10:17:36.286Z (11 months ago)
• Topics: analytics, bigquery, dataanalysis, freelance, portfolio, sql, youtube
• Homepage:
• Size: 239 KB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# 📊 YouTube Trending Videos Analysis using BigQuery

## 📌 Overview

This project analyzes trending YouTube videos in India using real-world data. The dataset was uploaded to Google BigQuery and explored using standard and advanced SQL techniques such as aggregation, filtering, and window functions.

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## 🎯 Objectives

- Identify the top most-viewed videos

- Find which channels appear most frequently in trending

- Analyze audience engagement (likes) by category

- Use SQL `RANK()` to rank top-performing content

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## 📁 Dataset

- Source: [YouTube Trending Videos Dataset (INvideos.csv)](https://www.kaggle.com/datasets/datasnaek/youtube-new)

- Table Name: `trending_videos`

- Upload Format: CSV to BigQuery

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## 🧪 Tools Used

- Google BigQuery

- Standard SQL

- Kaggle for source data

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## 🔍 SQL Tasks

### ✅ Task 1: Top 10 Most Viewed Videos

![Top 10 Most Viewed Videos](./top10_videos.png)

### ✅ Task 2: Channels with Most Trending Videos

![Most Trending Channels](./top_channels.png)

### ✅ Task 3: Average Likes by Category

![Average Likes by Category](./avg_likes_by_category.png)

### ✅ Task 4: RANK() Over Views

![RANK Function - Top Videos](./view_rank.png)

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## 📄 Files Included

- `queries.sql` – Contains all SQL queries used in the analysis

- `top10_videos.png` – Result from Task 1

- `top_channels.png` – Result from Task 2

- `avg_likes_by_category.png` – Result from Task 3

- `view_rank.png` – Result from Task 4

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## 👨‍💻 Author

**Venu Gopal**  

📧 venugopalk9578@gmail.com  

🔗 [LinkedIn](https://www.linkedin.com/in/venugopal9578)

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> ✅ This project was completed independently as part of my freelancing portfolio to demonstrate BigQuery and SQL proficiency.