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We'll analyze: The correlation between different metrics (e.g., shares, comments, dislikes, likes, views). How these metrics relate to the average view duration and the average percentage viewed. Popular videos based on likes, comments, shares, and views. The relationship between the time of publishing and the metrics. Suggestions for improvement based on the analysis. We'll start by examining the correlation between different metrics (e.g., shares, comments, dislikes, likes, views). This will help us understand which metrics are strongly associated with each other. For example, if likes and views are highly correlated, this means that videos with more views tend to get more likes, and vice versa. We'll use a correlation matrix to visualize this information. [Image of a Matrix] This correlation matrix provides insights into how different metrics relate to each other. Here are a few key observations: Views correlate strongly with likes, shares, and comments. This is expected as the more a video is viewed, the more chances there are for it to be liked, shared, or commented on. Shares have a strong positive correlation with comments and likes. This suggests that videos that are shared more also tend to receive more comments and likes. The 'Average view duration' doesn't seem to correlate strongly with other metrics. This could suggest that the length of time a video is viewed does not necessarily influence its likes, shares, or comments. Interestingly, 'Average percentage viewed (%)' also does not have a strong correlation with other engagement metrics like shares, comments, or likes. Now, let's take a look at the relationship between these metrics and the time of publishing. We'll check if there are certain times of the day or certain days of the week when videos get more views, likes, shares, or comments. This could provide insights into the optimal times for posting videos. The boxplots provide insights into how the day of the week and the hour of the day can affect the number of views and likes a video receives. Views by Day of Week: There doesn't seem to be a significant difference in views based on the day of the week. However, it appears that videos posted on Wednesday and Thursday tend to receive slightly higher views. Views by Hour of Day: The number of views seems to be relatively consistent across different hours of the day, with some variability. Note that due to the boxplot nature, it can be a little bit hard to see the exact pattern. Further detailed analysis would help. Likes by Day of Week: Similar to views, there doesn't appear to be a significant difference in likes based on the day of the week. However, videos posted on Wednesday and Thursday also tend to receive slightly more likes. Likes by Hour of Day: The distribution of likes seems to be relatively consistent across different hours of the day, with some variability. Based on this preliminary analysis, the timing of video posts doesn't seem to have a significant impact on the number of views or likes. However, these are just preliminary insights and the patterns may change with more data. Now, let's check which videos are most popular based on likes, comments, shares, and views. This could provide insights into what types of videos your viewers prefer. [Image of the bar charts] The bar charts display the top 5 videos based on likes, comments, shares, and views. Top Videos by Likes: The video with the title "Kitchen knife" has the most likes, followed by "Best tools for kitchen #shorts". Top Videos by Comments Added: Again, the video "Kitchen knife #shorts" leads in terms of comments added. This suggests that this video was highly engaging and sparked a lot of discussion among viewers. Top Videos by Shares: The same video, "Kitchen knife", has been shared the most, indicating that viewers found it interesting enough to share with others. Top Videos by Views: In terms of views, the video with the most views is "Kitchen knife", indicating that it was the most viewed video on your channel during this period. From this analysis, it seems that the video titled "Kitchen knife" has performed exceptionally well in all categories. It would be beneficial to study this video and understand what made it so engaging to viewers. Was it the content, the presentation style, the length, or some other factors? Identifying these factors can help guide the creation of future content. Now, let's look at the metrics in relation to the average view duration and the average percentage viewed. This could provide insights into whether longer view durations or higher view percentages lead to more likes, shares, or comments. Finished working Show work The scatter plots provide insights into the relationship between the average view duration, the average percentage viewed, and two key metrics - likes and shares. Likes vs Average View Duration: There doesn't seem to be a clear relationship between the average view duration and the number of likes a video receives. This suggests that longer view durations do not necessarily lead to more likes. Shares vs Average View Duration: Similar to likes, there doesn't appear to be a clear relationship between the average view duration and the number of shares a video receives. This suggests that longer view durations do not necessarily lead to more shares. Likes vs Average Percentage Viewed: There seems to be some positive correlation between the average percentage viewed and the number of likes a video receives. This could suggest that videos where a larger percentage is viewed tend to receive more likes. Shares vs Average Percentage Viewed: There doesn't appear to be a clear relationship between the average percentage viewed and the number of shares a video receives. This suggests that a higher percentage viewed does not necessarily lead to more shares. From this analysis, it seems that the length of time a video is viewed (average view duration) and the percentage of the video viewed do not strongly affect the number of likes or shares a video receives. This suggests that other factors, such as the content of the video, its relevance to the audience, or its entertainment value, might be more influential in driving likes and shares. Now, let's summarize the findings and provide some suggestions for improving your YouTube channel and its content. Based on the analysis of your YouTube channel data, here are some key findings and suggestions: Correlation between Metrics: The number of views a video gets is strongly correlated with the number of likes, shares, and comments it receives. This indicates that increasing the visibility of your videos could lead to higher engagement. Popularity Metrics: A specific video ("Kitchen knife") stood out in all categories, receiving the most likes, shares, comments, and views. It's important to understand what made this video successful. Was it the content? The presentation style? The timing of the post? Analyzing successful videos can provide insights into what your audience likes and what drives engagement. Timing of Posts: The analysis did not show a significant difference in views or likes based on the day of the week or the hour of the day the video was posted. This suggests that the timing of your posts may not be as critical as the content itself. However, this is a preliminary finding and may change with more data. View Duration and Percentage Viewed: The average view duration and the average percentage of the video viewed did not have a strong correlation with likes or shares. This suggests that even if viewers do not watch the entire video, they can still like or share it based on the part they have watched. It might be beneficial to ensure that your videos are engaging from the start. Suggestions for Improvement: Increase Visibility: Given that views are strongly correlated with likes, shares, and comments, consider strategies to increase the visibility of your videos. This could include optimizing your video titles and descriptions for SEO, promoting your videos on social media, or collaborating with other YouTubers. Analyze Successful Videos: Take a close look at your most successful videos to understand what made them popular. Try to incorporate these elements into your future videos. Engage from the Start: Since the average view duration and percentage viewed do not strongly influence likes or shares, ensure that your videos are engaging from the beginning to capture viewers' attention. Experiment and Monitor: Finally, remember that these insights are based on your past data. It's always a good idea to experiment with new strategies, monitor your metrics, and adjust your approach based on what works best for your channel and audience.