The YouTube Video Analysis project aims to infer the top 15 trending videos in India through the use of Pandas, Matplotlib, and Seaborn for data manipulation and visualization. The analysis provides insights into video performance, aiding content creators in optimizing their YouTube strategies. Additionally, the project includes a word cloud visualization highlighting the most frequently occurring words in the trending videos.
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Top 15 Trending Videos: The project identifies and analyzes the top 15 trending videos in India, offering a snapshot of the most popular content.
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Performance Judgement: Through data manipulation and visualization using Pandas, Matplotlib, and Seaborn, the project provides insights into the performance of trending videos. This information is valuable for content creators seeking to enhance their YouTube strategies.
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Word Cloud: A word cloud visualization is generated, showcasing the most frequently occurring words in the trending video titles or descriptions.
The project is implemented using Python and popular data science libraries, including Pandas for data manipulation and Matplotlib/Seaborn for visualization. The code is organized for clarity, making it easy for users to understand and potentially modify for their own analyses.
To get started with the project, follow this step & run the provided colab notebook to analyze the top trending videos in India and generate visualizations:
Clone the repository to your local machine:
git clone https://github.com/your-username/ytvideostats.git