Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/suryavamsi-p/youtube-trends-and-tracks-engagement
This project aims to leverage Python’s robust visualization libraries to derive deep insights from YouTube video trends data. Using the 'youtube.csv' dataset, this analysis explores the dynamics of YouTube video attributes such as views, likes, dislikes, and comment counts to understand user engagement and their emotional insights.
https://github.com/suryavamsi-p/youtube-trends-and-tracks-engagement
dash datavisualization hypothesis-testing matplotlib normality-test numpy pandas python3 scipy seaborn visual-studio-code
Last synced: about 1 month ago
JSON representation
This project aims to leverage Python’s robust visualization libraries to derive deep insights from YouTube video trends data. Using the 'youtube.csv' dataset, this analysis explores the dynamics of YouTube video attributes such as views, likes, dislikes, and comment counts to understand user engagement and their emotional insights.
- Host: GitHub
- URL: https://github.com/suryavamsi-p/youtube-trends-and-tracks-engagement
- Owner: SuryaVamsi-P
- Created: 2024-04-27T03:24:58.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2024-12-16T23:20:11.000Z (about 1 month ago)
- Last Synced: 2024-12-16T23:51:23.443Z (about 1 month ago)
- Topics: dash, datavisualization, hypothesis-testing, matplotlib, normality-test, numpy, pandas, python3, scipy, seaborn, visual-studio-code
- Homepage:
- Size: 1.89 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0