This project analyzes YouTube data obtained from Kaggle. The dataset contains information about YouTubers, including their rank, subscribers, video views, category, title, uploads, country, abbreviation, and channel type. The analysis aims to uncover insights about popular YouTubers, video trends, and user engagement on the platform.
Data Exploration: Explore the dataset to understand its structure and contents. Top YouTubers: Identify the top YouTubers based on subscribers and video views. Category Analysis: Analyze video categories to identify popular content. Geographical Analysis: Examine the distribution of YouTubers by country. Visualizations: Create visualizations such as bar charts and pie charts to illustrate key findings. Download the dataset from Kaggle and place it in the data directory.
Run the Jupyter notebook youtube_data_analysis.ipynb to perform the analysis. Follow the step-by-step instructions in the notebook to explore the data and generate insights.
Top YouTubers based on subscribers and video views. Popular video categories and their distribution. Geographic distribution of YouTubers. Visualizations illustrating key findings.