This repository hosts the data and the analytics for the Trending Youtube Video Statistics from Kaggle. This constitutes the project component for the course titled Introduction to Data Science [UE18CS203] at PES University.
The dataset is offered under the Creative Commons License. For the time being, this repository is unlicensed
The Dataset consists of the trending video statistics from the country of Great Britain - this was chosen to avoid having characters of other languages apart from English.
As of now, the things that will be analyzed are:
- A brief overview of the nature of Dataset
- Analyzing the trending list based on words in Title
- Analysis of trending list based on the channel uploading the video
- Correlation of the trending videos and number of views
- Correlation of the trending videos and number of comments
- Correlation of the trending videos and the ratio of likes to dislike
- Role of categories in pushing videos to Trending
- The gradual change in the statistics over the time
The above bullet points will be replaced with a much more detailed description once the analysis part begins.
This project is a joint effort with the participants being:
- Prajwal D. V. [PES1201800227]
- Yogesh T. S. [PES1201801723]
- Prateek Nayak [PES1201800054]
Due to the nature of the project, external contributions will require a review from the handling faculty. To avoid unnecessary trouble, we will not merge any Pull Requests until the project submission after which any and all contributions are highly appreciated. In case you wat to help us in an another way, open an issue with a possible enhancement for the project. Any and all feedback will be highly valued.
Thank you.
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