YouTube Trending Videos of 2019 Data Analysis

• Tech Stack: Python, Pandas, Matplotlib, Jupyter Notebooks, Notion
• Project Focus: Identifying trends and audience preferences
• Documentation URL: Analysis Report

Conducted a comprehensive analysis of YouTube trending videos from 2019, focusing on uncovering patterns in video performance metrics such as views, likes, comments, and shares.

Utilized Python for data cleaning and visualization, creating actionable insights for content creators, including optimal upload timings, popular categories, and video title strategies. Managed the project lifecycle using tools like Jupyter Notebooks and Notion for effective documentation and collaboration.