Difference between revisions of "ANLY482 AY2017-18T2 Group30 Youtube"
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Revision as of 12:20, 27 February 2018
| HOME | ABOUT US | PROJECT OVERVIEW | EDA | BUSINESS OBJECTIVES | PROJECT MANAGEMENT | DOCUMENTATION | MAIN PAGE |
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For data files from YouTube(Watch Time), the sponsor provided exported data for Watch Time, with different metric tabs in Excel format. The tabs included are:
- Video
- Geography
- Date
- Subscription Status
- Youtube Product
- Device Type
- Subtitles and CC
- Video Information Language
For data files from YouTube(Demographics), the sponsor provided exported data for watch time for different Demographic, with different metric tabs in Excel format. The tabs included are:
- Viewer Age
- Viewer Gender
For data files from YouTube(Traffic Sources), the sponsor provided exported data for watch time from different traffic source type
No data preparation is required.
As seen in the chart below, majority of viewers (>70%) fall into the age category of 18-34. Slightly over 10% of viewers fall into the age categories of 13-17 and 35-44 each as well, with less than 5% of views who are above 54.
Across all the age groups, there is always a larger percentage of female audience except for those 35 and older. The disparity is especially obvious in the 18-24 category, with almost twice as many female viewers.
Despite differences in views for age and gender, there are no significant differences observed for the average duration (in minutes), which is around 4-5 minutes.
All of the above findings are consistent with that of Facebook Videos.
