This dataset contains cleaned and structured data of trending YouTube videos in the United States, originally sourced from open data published by Google. It has been preprocessed for data analysis tasks such as content performance evaluation, engagement metrics study, and viewer behavior insights.

🧹 Data Cleaning Steps:

Removed blank and zero-value rows

Filtered out videos with disabled ratings or removed status

Extracted publish date, hour, and day of week

Mapped category_id to readable category names

Removed outliers for like-to-dislike ratio

🧠 Use Cases:

Identifying top-performing videos and categories

Analyzing average views by day of the week

Visualizing engagement through like/dislike ratios

Exploring video trending durations

🛠 Tools Used for Preparation: Excel | SQL (BigQuery) | Tableau

This dataset is ideal for aspiring data analysts looking to build their portfolio, practice data cleaning, and perform visual or statistical analyses on real-world content data.