YouTube Data Analysis and Insights Report using Watson Analytics

This report presents a comprehensive data analysis of a YouTube dataset using IBM Watson Analytics. The analysis explores various aspects of the data, including video categories, upload trends, viewer engagement, and channel performance across different countries (US, GB, France, and Canada). Dashboards are created to visualize key metrics such as the distribution of videos by category, monthly upload patterns, and viewer preferences. Advanced insights are derived to identify top disliked channels and tags, as well as the relationship between dislikes and video removals. The report concludes with recommendations for a content manager, focusing on strategies to increase viewership, minimize dislikes, and optimize content based on identified trends. The analysis highlights the potential of Watson Analytics in uncovering valuable insights from large datasets for informed decision-making.

Running head: DATA ANALYTICS USING WATSON ANALYTICS
Data Analytics using Watson Analytics
Name of the Student
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Table of Contents
Introduction................................................................................................................................2
Background information............................................................................................................2
Assumptions...............................................................................................................................2
Dashboards.................................................................................................................................3
Advanced Insights....................................................................................................................13
Research...................................................................................................................................17
Recommendations for Content Manager.................................................................................18
Cover letter...............................................................................................................................19
Conclusion................................................................................................................................20
Reflection.................................................................................................................................20
Bibliography.............................................................................................................................21

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Introduction
In the present digital era, big data analytics became a necessity for the business
organizations. Use of the big data analytics can help the organizations to find out different
hidden patterns in the collected data from the different business process as well as from the
clients of the organizations. The companies can exploit available market opportunities in
order realize competitive advantage over competitor companies.
Different sections of this report contributes to the discussion about the different
insights using the Watson analytics tool, recommendations for the manager of the ABC
online multimedia company and research brief for the different dashboards.
Background information
This data analytics project is carried out in order to analyse and find out the hidden
insights from the selected dataset with some guided question sets as well as advanced
insights.
The selected dataset which is downloaded from the URL
https://data.world/iamdilan/youtube-dataset contains 18 columns namely video_id (id of the
uploaded video), category_id, publish_date, , title, channel_title that uploaded the video,
time_frame of the video, trending_date, Day of the _week of the published video, country in
which the , tags used for the video, number of views for the video, likes, dislikes count for the
video, count of comments for the uploaded video on the different YouTube channel.

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Assumptions
 There may be redundant video_id, Country, as well as titles of the videos in
the columns as the dataset contains the viewer details for different videos on
YouTube.
 True value for the video_error_removed indicates that the video has been
removed from the YouTube platform.
 The dataset may not contain videos of all the categories.
 The tags for the videos may contain multiple redundant values.
Dashboards
Answer 1
There are total 55885 distinct uploaded videos in the selected dataset.
Answer 2
The dataset contains videos mainly related to 18 categories.

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Answer 3
Number of countries in the selected dataset is 4 which are FRANCE, US, GB and
CANADA.
Answer 4
Number of unique on the YouTube channels in the selected dataset is 12360.

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Answer 5
top three countries when compared by the number of channels are FRANCE,
CANADA and US.
Answer 6
The GB has the lowest number of channels according to the selected dataset.

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Answer 7
US has 2207 different Unique YouTube channels.
Answer 8

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Answer 9
Answer 10
The dataset contains the 13 years of uploaded video data.
Answer 11
Number of uploaded videos in the month of December is given by 8544 and
following is the concerned dashboard.

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Answer 12
Most number of videos uploaded in GB in the year 2018.
Answer 13
The time frame 16:00 to 16:59 most number of videos were uploaded on the
YouTube.

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Answer 14
Top three viewed video categories were 10, 24,1
Answer 15
The least viewed categories are 44,30,43

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Answer 16
The video that has the highest percentage of likes is “Childish Gambino-This is
America.”
Answer 17
The highest percentage of dislikes is recorded against the video title “So Sorry”