Graphs

Average Views by category

This graph shows the average number of views for videos in each category. By comparing the bars, we can see which types of content tend to receive more views on average when they appear on the trending list. Categories with taller bars have higher average views, meaning those types of videos are generally more popular. The graph suggests that certain categories consistently receive higher average views, indicating that content type plays an important role in trending success. Videos in higher-performing categories are more likely to gain large audiences and appear on the trending list, while lower-performing categories tend to attract fewer views.

Views vs Likes

This graph shows the relationship between the number of views and the number of likes for each video. Each point represents a video, and the overall upward trend indicates that as views increase, likes also tend to increase. The use of a log scale helps make this relationship easier to see despite large differences in values. This graph shows the relationship between the number of views and the number of likes for each video. Each point represents a video, and the overall upward trend indicates that as views increase, likes also tend to increase. The use of a log scale helps make this relationship easier to see despite large differences in values.

Top Trending Channels

This graph shows the number of times each channel appears in the trending dataset. Each bar represents a channel, and the length of the bar indicates how frequently that channel’s videos were trending. Channels with longer bars have more videos that made it onto the trending list. The graph shows that a small number of channels appear much more frequently than others, indicating that certain creators consistently produce content that trends. This suggests that channel success is not random, and that factors such as audience size, content strategy, and consistency play a major role in appearing on the trending list.