ITECH1103 Big Data & Analytics: YouTube Data Analysis & Insights

This report presents a big data analysis of YouTube data using IBM Watson Analytics, focusing on identifying insights, patterns, and trends. The analysis covers various aspects such as video titles, country-specific channel distribution, video upload times, and category-wise views. Key findings include the identification of top countries with the most distinct channels, optimal video upload times, and the most and least viewed video categories and titles. Advanced insights reveal the weekday with the most video uploads and country-specific viewing patterns. Recommendations are provided to improve content quality, target specific audiences, and manage viewer engagement based on likes and dislikes. The report concludes that Watson Analytics is a valuable tool for visualizing hidden patterns and extracting meaningful insights from large datasets using its natural language processing capabilities. This assignment solution is available on Desklib, a platform offering a range of study tools, including past papers and solved assignments, to support students' learning.

ITECH1103- Big Data and Analytics of YouTube data

Introduction
oBig data is considered as one of the most important driver for
digital economy.
oBig data analytics can help in finding insights from the data
collected from numerous sources which seems to be unrelated can
potentially support important decisions.
oFor this project the IBM Watson Data analytics tool is used.
oThis tool uses cognitive intelligence in order to find out the
insights.

Research
o
Click icon to add pictureo Bar charts, Heat map, Packed
bubbles are used in order to
visualize the results in such a
way that the results can be
easily interpreted.
o Combination of the bar and
line graph is used for advanced
insights.
o With the help of NLP (natural
language processing)
capability Watson tool helps in
interacting with the data
attributes.

Dashboards
o The dataset contains total 55885
distinct uploaded video titles.
o Distinct titles are considered from
the dataset as there are multiple
duplicates in the selected dataset.
o Top three countries compared by
the number of the distinct
channels as recorded in the data
set are France, Canada and US.
o Lowest number of channels is
1624 for the country GB
Click icon to add picture

Dashboards
o For the time frame the busiest
one is 16:00 to 16:59 from the
perspective of uploading
video on YouTube.
o The dataset contains data
about the video uploads for 13
years.
o The busiest time frame from
the perspective of uploading
videos is 16:00 to 16:16:59.
o In the month of December,
the number of uploaded
videos is 8544.

Dashboards
• For the country GB, the Busiest
time frame was 17:00 to 17:59.
• Top three categories compared by
the views is given by 10 (Music),
29 (Non-profits and Activism)
and 1 (Film and Animation).
• The bottom three categories
compared by the views are 27
(Education), 25 (News and
Politics) and 44 (Trailers of the
movies).

Dashboards
• Top three titles compared by
the views are
• Childish Gambino - This Is
America (Official Video)
• Ariana Grande - No Tears Left
To Cry (Live From The Billboard
Music Awards / 2018)
• BTS (방탄소년단) 'FAKE
LOVE' Official

Advanced Insights
• The least three video titles
compared by the views are
given by
• So sorry.
• YouTube Rewind
• Suicide: Be here tomorrow
• The week day on which the
number of the uploaded video
is Friday

Advanced Insights
• Maximum number of views
for different countries is from
the GB even though the
number of channels is lowest
among the countries. The
second highest number of the
views is from US.
• For GB country the top
viewed categories are 10,
24,29,1,22,23,28.

Recommendations
• It is important to improve quality of the contents for the channels
in GB so that viewership in that country can be maintained.
• The release of the of music related videos and trailer contents
should be encouraged in order to attract larger number of
viewers in US, CANADA and FRANCE.
• Comments are disliked are correlated therefore the videos
accumulating a certain number of dislikes must be restricted in
the regions and other type of videos should be encouraged.

Conclusion
• Watson Analytics tool is a cloud based intelligent, self-service data
analysis tool that helps in the visualization of the hidden patterns.
• With the NLP (natural language processing) capability this tools
helps in interacting with the data in a versatile way in order to find
out the desired insight.