ITECH1103 Big Data Analytics: Comprehensive YouTube Analysis

This report presents an analysis of a YouTube dataset using Watson Analytics to extract meaningful insights. The analysis covers various aspects such as video categories, upload times, views, likes, dislikes, and comments across different countries. Key findings include identifying the most popular video categories, busiest upload times, and correlations between dislikes and disabled comments. The report also offers recommendations for content managers based on the identified trends, particularly focusing on improving content quality and tailoring video releases to specific regions to maximize viewership. The analysis employs various visualization techniques, including bar charts, heat maps, and packed bubbles, to effectively communicate the findings to both technical and non-technical audiences. This document is available on Desklib, a platform offering a wealth of academic resources including past papers and solved assignments for students.

Running head: ITECH1103- BIG DATA AND ANALYTICS
ITECH1103- Big Data and Analytics
Name of the Student
Name of the University
Authors note

1ITECH1103- BIG DATA AND ANALYTICS
Table of Contents
Introduction................................................................................................................................2
Background information............................................................................................................2
Dashboards.................................................................................................................................3
Advanced Insights....................................................................................................................16
Research...................................................................................................................................20
Recommendations for Content Manager.................................................................................20
Cover letter...............................................................................................................................21
Reflection.................................................................................................................................21
Conclusion................................................................................................................................22
Bibliography.............................................................................................................................23

2ITECH1103- BIG DATA AND ANALYTICS
Introduction
In the present era, YouTube is considered as most popular website that is used by the
users in order to view videos, upload videos on the respective channels. In addition to that, on
these platform users can respond against the videos by providing comments for different
videos, like or dislike the video according to their contents. Through storing the responses
for videos YouTube collects a range data points about the viewers as well as about the video
and uploader of the videos. This data point including View Counts of the videos, Likes,
Comments, dislikes, any error that occurred or if the video was deleted. Through the analysis
of the above mentioned attributes it is possible to find out or extract implicit
knowledge/patterns for the different user’s community interests in certain regions.
The following report contributes to the different insights that are available from the
analysis of the selected data set using the Watson analytics tool. In addition to that, the paper
also contributes to the recommendation that can be used by the managers in order to improve
the scenario.
Background information
Selected dataset is collected from the URL https://data.world/iamdilan/youtube-
dataset which contains the total 161471 rows along with the 17 attributes for each of the
records in the rows. Some of this attributes includes id of the video, trending date, title of
the video, channel title for the specific video, category, publish date or the upload date,
timeframe for the upload, count of likes and dislikes as well as count of the comments.

3ITECH1103- BIG DATA AND ANALYTICS
Dashboards
Following are the dashboards that are developed for the guided questions that are
enquired on Watson analytics tool.
Answer1
The dataset contains total 55885 distinct uploaded video titles. The Distinct titles are
considered as there are multiple duplicates in the selected dataset which are recorded
whenever viewers viewed the specific video.
Answer2

4ITECH1103- BIG DATA AND ANALYTICS
There are recorded 18 categories of videos in the dataset. The most number of
records are related to the 24.
Answer 3
Total 4 published countries in the dataset.
Answer 4

5ITECH1103- BIG DATA AND ANALYTICS
There are total 12360 distinct channels in the dataset.
Answer 5
Top three countries compared by the number of the distinct channels as recorded in
the data set are France, Canada and US.
Answer 6

6ITECH1103- BIG DATA AND ANALYTICS
The lowest number of channels is 1624 for the country GB according to the records
available in the dataset.
Answer 7
The number of channels for the publish country US is given by 2207.
Answer 8

7ITECH1103- BIG DATA AND ANALYTICS
Answer 9
For France
For Canada

8ITECH1103- BIG DATA AND ANALYTICS
Answer 10
There dataset contains data for the 13 years.
Answer 11

9ITECH1103- BIG DATA AND ANALYTICS
For the last month (December) there are total 8544 videos were uploaded to
YouTube.
Answer 12
Maximum number of videos from the country GB is uploaded in the year 2018.
Answer 13

10ITECH1103- BIG DATA AND ANALYTICS
For the time frame the busiest one is 16:00 to 16:59 from the perspective of
uploading video on YouTube.
Following dashboard is for the country US
For Canada

11ITECH1103- BIG DATA AND ANALYTICS
For France
For GB