This visualization is a line chart showing streaming channels and their average viewers per stream. We can see which of the top 100 streaming channels get the most average views during their live streams. As you can see Auronplay gets the most average views per stream with an average of 53,986 per stream. The visualization also shows the streaming channel with the lowest average viewership being Dyrus with 1123 average viewers.
This visualization shows a very interesting scatter plot. This scatter plot shows how many total followers for each streaming channel and how many they actually gained within the number of followers. For example, Tfue in his career has accumulated 8,938,903 followers but has only actually gained 2,068,424 followers. This is important because it shows the potential streaming channels could have had versus where they actually stand.
In fact, we see someone reach a really high accumulated following and also get very close to the following. Auronplay has a accumulation of 3,983,974 followers and from that has gained 3,966,525 followers. This shows that Auronplay was able to maintain those who had followed his streaming channel. This is all important because some streaming channels may be considered “overrated” in the streaming world but the data shows that the actual potential of followers is rarely obtained. It seems that it is very difficult to maintain followers within the streaming channels.
The first visualization is a packed circles hierarchy that presents the streamers with the most followers by language. We see that the visualization holds mostly English speaking streamers so we can infer that most people watching Twitch are English speaking people. With the total followers of all the English speaking streamers being 179,976,950 compared to the next most popular language (Spanish) with a total of 23,215,925 followers.
Now to explain some data within the visualization, we see that Tfue is the most followed English speaking Twitch streamer, his follower count being 8,938,903. A close second being Twitch streamer Shroud who has a count of 7,744,066. The most followed Spanish speaking streamer is Rubius with 5,751,354 Twitch followers and the most popular Portuguese speaking streamer being Alanzoka with 3,445,134 followers.
Now we are looking at a bar chart that depicts a certain streamer’s peak amount of viewers vs their average amount of viewers. You can use the drop down bar to look at any specific streamer you’d like to see the data of. This bar chart shows that in every single top 100 streamer’s case, peak viewership tends to be significantly higher than their average viewer count. Some of the biggest discrepancies being Riot Games with 639,375 peak viewers but only 20,960 average viewers and TheGrefg with 538,444 peak viewers and only 28,887 average viewers. Though, there are some in the top 100 streamers that have a somewhat balanced ratio. Like s1mple, for example, having 34,971 peak viewers and an average of 12,723 viewers.
The visualization below is a box plot of followers gained per a language. This box plot would show if there was a trend in a certain group, the group being a specific language, of them gaining more followers than another group.
It’s easy to see that this plot shows a clear trend of Spanish speaking streamers gaining a higher amount of followers than streamers of any other language. Streamer auronplay is the maximum point of the Spanish speaking plot with an impressive 3,966,525 followers gained. To put the gap into more of a perspective, the median of the Spanish speaking streamers followers gained box (1,738,467) is more than the complete sum of Korean, French, and Polish speaking streamers followers gained points combined (1,669,065). Based on this plot, we can very clearly see our earlier thought of having a trend being presented
This visualization is a box plot showing the distribution of watch time for Twitch streamers. The graph reveals a massive gap between the platform’s top creators and everyone else.
While most streamers are clustered at the lower end of the scale, the data features a long “tail” of outliers. The top streamer reached an incredible 6,196,161,750 minutes of watch time; nearly 50 times more than the creator at the bottom of this data set, who has 122,192,850 minutes. This visual proves that a tiny percentage of “mega-streamers” commands the vast majority of attention on the platform.
This visualization is a scatter plot that explores the relationship between a streamer’s Follower Count and their Average Viewers. Looking at the data, we can see that having more followers doesn’t always guarantee a higher average viewership.
While the correlation between followers and viewers is positive, the variance suggests that audience retention is a more significant driver of success than mere reach.