Project Details: Consider you are working as a Content Analyst in an ABC online multimedia company..
Project Details: Consider you are working as a Content Analyst in an ABC online multimedia company and your task for this analytical project is to use analytical tool (i.e. IBM Watson Analytics) to explore, analyse and visualize the given dataset. This dataset reflects details about different videos, uploaded during the period from 2006 to 2018. The original dataset is extracted from the Kaggle.com and then modified and uploaded onto https://data.world/iamdilan/youtube-dataset. Your primary goal is to download the modified dataset and provide different and interesting insights in the lights of 20 guided questions listed below along with advance insights . The dataset could be downloaded from the following link
Dataset source: https://data.world/iamdilan/youtube-dataset
Data Dictionary:
Video_id Unique identity of video
Trending_date trending date of video
Title Name of video
Channel_title Name of channel
Category_id : see category list below (table)
Publish_date The date on which the video was published
Time_frame The time at which the video was uploaded/published
Publish_day_of_week Day of the week video published
Publish_country Country in which video published
Tags Tags
Views Number of views of video
Likes Number of likes of video
Dislikes Number of dislikes of video
Comments_count Number of comment for a video
Comments_disable Whether comment is disable or not
Ratings_disabled Whether ratings is disabled or not
Video_error_or_removed Whether video has error or it is removed
YouTube Video Category Id list:
2 – Autos & Vehicles
1 – Film & Animation
10 – Music
15 – Pets & Animals
17 – Sports
18 – Short Movies
19 – Travel & Events
20 – Gaming
21 – Videoblogging
22 – People & Blogs
23 – Comedy
24 – Entertainment
41 – Thriller
42 – Shorts
43 – Shows
44 – Trailers
25 – News & Politics
26 – How to & Style
27 – Education
28 – Science & Technology
29 – Nonprofits & Activism
30 – Movies
31 – Anime/Animation
32 – Action/Adventure
33 – Classics
34 – Comedy
35 – Documentary
36 – Drama
37 – Family
38 – Foreign
39 – Horror
40 – Sci-Fi/Fantasy
You are expected to present the data findings in a visual forms (i.e., charts and graphs). This is a group assignment. You will complete it with your team (max 3 members enrolled in the same laboratory). It is expected that each team member will contribute equally in the project. Each team will turn in one joint document and give a joint presentation in Timetabled Laboratory class in Week 10. In addition, each individual team member will write a short reflection as part of the report. You will receive feedback on the draft about presentation choices, content, analysis, and style.
The Questions
Your job is to examine the dataset and present it in a set of informative graphs and text by answering the following questions.
Guided Questions for Dataset
1. What is the total number of uploaded videos in this dataset?
2. How many different types of uploaded categories are there?
3. What is the number of countries in this dataset?
4. What is the number of (unique) channels in this dataset?
5. Which are the top three countries, according to number of channels, in this dataset?
6. What is the lowest number of channel by country?
7. How many different unique channels are there in the US?
8. Provide a list of the top 10 viewed video titles with respect to each country.
9. Provide a list of least 10 viewed video titles with respect to each country.
10. How many years of uploaded videos are there in the data file?
11. How many uploaded videos have there been in the last month? (Select the last month of the year)
12. In which year, were the most videos uploaded in GB?
13. Which hour had the most uploaded videos in this dataset? Is there any differences between countries? (time_frame)
14. What are the top 3 viewed categories in terms of number of uploaded videos?
15. What are the least 3 viewed categories in terms of number of uploaded videos?
16. Which video has the highest percentage of likes?
17. Which video has the highest percentage of dislikes?
18. Which day has the highest uploads of videos?
19. Which day has least uploads of videos?
20. What is monthly breakdown of published videos?
Task 1- Background information
Write a description of the selected dataset and project, and its importance for the firm.
Information must be appropriately referenced.
Task 2 – Reporting / Dashboards
For your project, perform the relevant data analysis tasks by answering the above questions and, identify the visualization and dashboards you need to develop for the Content Manager of the indicated firm.
Task 3 – Advanced Insights: In addition to the guided questions, it is expected to provide at least five (5) insights of the data. These insights will be judged in terms of quality and complexity.
Task 4 – Research
Justify why these BI reporting solution/dashboards are chosen in Task 2 (Reporting / Dashboards) and why that dataset attributes are present and laid out in the fashion you proposed (feel free to include all other relevant justifications).
Note: To ensure that you discuss this task properly, you must include visual samples of the reports you produce (i.e. the screenshots of the BI report/dashboard must be presented and explained in the written report; use ‘Snipping tool’), and also include any assumptions that you may have made about the analysis in your Task2 (i.e. the report to the content manager of the company).
Task 5 – Recommendations for Content Manager
The Content Manager would like to improve the multimedia operations. Based on your BI analysis and the insights gained from the dataset in the lights of analysis performed in previous tasks, make some logical recommendations to the Content Manager, and justify why/how your proposal could enhance company’s multimedia operations and could assist in achieving operational/strategic objectives with the help of appropriate references from peer- reviewed sources.
Task 6 – Cover letter
Write a cover letter to the Content Manager with the important data insights and recommendation to achieve operational/strategic objectives
Task 7 – The Reflection: Each Team member is expected to write a brief reflection about this project in terms of challenges, learning and contribution.
