Project Summary This dataset and analysis focus on the video production and audience engagement trends on the YouTube channel featuring Gus Baha's content. It includes detailed statistics on the number of videos published, their view counts, and average views per video over time. The dataset allows for analysis of key phases in video production, such as periods of peak popularity, decline due to algorithmic fatigue, and attempts at revival, providing insights into YouTube audience behavior and content performance. Dataset & Software Specifications Core File: YouTube_NU_Online.csv Data Source: YouTube video data related to Gus Baha content on the YouTube channel. Analysis Tools: Python (Pandas, Matplotlib, Seaborn) for data analysis and visualization. Methodology & Features The analysis provides insights into: Video Production Trends: Tracking the number of videos uploaded on a monthly basis. Audience Engagement Trends: Monitoring the average views per video on a logarithmic scale. Key Phases: Identification of periods such as peak popularity, decline, and short revivals of audience engagement. The following visualizations are included: Trend Analysis: A combined plot showing the monthly video production trends and audience engagement on the YouTube channel. Top Videos: A chart displaying the top 20 most viewed videos with clean titles. User Instructions Download the dataset YouTube_NU_Online.csv and the analysis script. Open the script in Google Colab or Jupyter Notebook. Run the analysis script to process the data and visualize the video production and engagement trends. The visualizations will be automatically generated and displayed. Context & Citation This dataset and analysis were created to track and visualize video production trends and audience engagement on the YouTube channel featuring Gus Baha's content. This research provides valuable insights into content consumption patterns and social media trends on YouTube. DOI: 10.5281/zenodo.19298307