
This is a screenshot of the tables and charts I made, including ones on gender and age.
This helps me organise the data I gathered and helps me to compare it to my secondary research.
In the chart to the right, it tells me the most watched types of videos on YouTube (at least from those who took my survey). As you can see, the most popular type was music videos and the last being educational videos.
Now if I was thinking of starting a channel, I know to steer away from educational - as they aren't that popular and look into music. Or, this could tell me that there are a lot of music channels already on Youtube, so it may be best to pick vlog videos, or beauty/fashion, so I don't have a hard time competing with other music channels.
This does also link into the previous secondary research I did, as a handful of popular You-tubers were - obviously - vloggers, but also music artists, and there were a couple that had a particular 'theme' to their channel like beauty or gaming, etc.
I also asked what other social media people used to see if people followed any channels outside of Youtube - if they can. This graph shows the social media people used, and we can see Facebook is the most popular. This could tell me that it may be worth it to open a Facebook page of a channel to reach more people worldwide, and not just on Youtube.
However, there are limitations to my research. Firstly, as I said before, there were limited responses so I didn't get much variations in responses. This means that my results weren't actually that representative of the population. However, there were other limitations, such as the gender of the people who responded. Over half were female, and this made the survey a little unfair as there were less males.
Additionally, half of the respondents were 14-16, and over a quarter were 17-20. This is probably because I posted the survey on Facebook only, and under 16's aren't allowed Facebook legally. Also, adults may not have Facebook or could have been working when I posted the survey, as it was midday on a weekday. Also, the older generation may not even be interested in YouTube.
Finally, answers like above were qualitative data types, so it means that the data was descriptive and was harder to put into graphs than quantitate data as that's where the data can be measured and easily charted. This made it harder to analyse the data I had gathered.
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