This project focuses on conducting an in-depth analysis of YouTube videos in the podcast niche to understand the factors that influence video views, interaction (likes/comments), and overall performance. By exploring these aspects, valuable insights can be gained into the dynamics of successful YouTube channels in this specific domain.
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Utilized the YouTube API to retrieve video metadata for the top 10-15 channels in the podcast niche. Created a developer key and made API requests to gather data on video titles, durations, likes, comments, and tags. Transformed the received responses into a usable data format for further analysis.
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Preprocessing and Feature Engineering: Performed preprocessing on the acquired data to ensure data quality and enhance analysis capabilities. Conducted feature engineering to extract meaningful insights from the available information.
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Exploratory Data Analysis: Delved into the dataset to uncover patterns, correlations, and trends through exploratory data analysis.
- Investigated relationships between factors such as the number of likes/comments and video views, video duration and interaction, and title length and views.
- Explored tag usage among successful videos to identify common tags that contribute to their performance.
- Drew conclusions based on the analysis, highlighting the key factors influencing video performance in the podcast niche.
- Examined the impact of the number of likes/comments on views, the influence of video duration on interaction, and the role of title length in attracting views.
- Analyzed tag usage patterns among high-performing videos to identify effective tagging strategies.
- Explored the upload frequency and preferred upload days of creators in the podcast niche.
Contributions to this project are welcome. If you find any improvements or additional features that could enhance the analysis, feel free to fork the repository and submit pull requests to contribute to its development.
This project is licensed under the MIT License. You are free to modify and distribute the code as per the terms of this license.