Welcome to the yt_trendingvidz_analysis repository! Here you will find a Python Jupyter Notebook that delves into insights about Youtube's Trending Videos. The repository also includes the dataset used for analysis and a JSON file containing additional information.
- Repository Name: yt_trendingvidz_analysis
- Description: This repository contains a Python Jupyter Notebook analyzing insights into Youtube's Trending Videos, along with the dataset and a JSON file.
- Topics: data-analysis, eda, matplotlib, nlp, pandas, python, seaborn, trending-videos, visualization, wordcloud, youtube
The Python Jupyter Notebook in this repository offers a detailed analysis of Youtube's Trending Videos using popular data analysis and visualization tools. Through the use of libraries like Pandas, Matplotlib, Seaborn, and NLP techniques, the notebook provides valuable insights into trends and patterns observed in Youtube's trending videos.
To access the analysis notebook and explore the insights regarding Youtube's Trending Videos, you can download the notebook from the following link:
Simply click on the button above to download the notebook and start exploring the analysis.
For additional resources, insights, and updates related to this analysis, feel free to visit the repository directly. Dive into the data, visualize trends, and uncover valuable information about Youtube's Trending Videos.
By leveraging the power of data analysis and visualization, this repository offers a comprehensive look into Youtube's trending videos. Feel free to explore the analysis and gain new perspectives on trending content on the platform. Visit the repository now to access the analysis notebook and discover the fascinating insights waiting to be uncovered! 🚀