1/8/18 (Completion Date: 1/20/18])
Welcome,
Starting off the year, I thought I should develop a project soley based on descriptive statistics and data wrangling performance. You can find the Data Wrangling in the Data Inspection folder, and analysis in the...Analysis Folder.
However, this still is an analysis on both Youtube statistics and other miscellaneous Youtube information.
The Dataset was provided by Kaggle user Mitchell J, here https://www.kaggle.com/datasnaek/youtube-new Thank you Mitchell J.
The objective of this project is to determine
From the list of trending videos that occured from November 2017-January 2018,
What are the top 10 trending
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Youtube videos
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Categories
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Youtube Channels
based on user view counts
Question # 2 From the top videos, categories, and Youtube channels, what countries dominate those spaces?
Question # 3 Lastly, for these topics, what were the most disliked, liked, and ratio of likes?
From this analysis, we can distinguish what types of topics trending during the winter, and some of their characteristics.
Within the Analysis Folder, you can find a HTML document containing my summary of my analysis.
Enjoy!
Data Dictionary was provided by Kaggle user. This guy is awesome!
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video_id
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trending_date
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title
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channel_title
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category_id
6.publish_time
7.tags
8.views
9.likes
10.dislikes
11.comment_count
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thumbnail_link
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comments_disabled
14.ratings_disabled
15.video_error_or_removed: If this is true, it means that the video was removed by the user, or some unspecified error occurred during collection
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description
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Country
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category_name
Let me know if you have any questions on Linkedin!