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YouTube-Video-Statistics-EDA

The project involves the complete EDA on the complete YouTube dataset. The project aims to extract valuable and Sociological insights by combining the correlation and statistical distribution of each visualization made. Time series analysis, dealing with missing values, Day-time response tracking, Text analysis via wordcloud on various YouTube key-parameters.

Trending YouTube Video Statistics. It should be no surprise that YouTube is one of the most popular video hosting platforms out there with almost 5 billion videos watched on the platform per day and 1,300,000,000 users.

20200805_140359

To do list

  • Data Reading and cleaning
  • Get feel, Visulize missing values and cataloguing time format of given data
  • Video Content Distribution
  • Pepole's Response factors on trended Videos
  • Deep analysis on responses of different Content category of trended videos
  • Visulize video status/errors (i.e comment,likes disabled,video_error_or_removed)
  • Time series analysis
  • Correlation between factors to Trend a Video
  • Text analysis via wordcloud
  • Finding most Appreciated/Trended video channels among different category/Titles

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