 In this learning dialogue, we will discuss about YouTube Analytics Dashboard. We will provide the Analytics Dashboard to the YouTube video creators. This is to create insights for the developers to understand which videos are viewed more, why the users are not able to get more viewers for this particular video and what is users viewing behavior and also get the insights and they can come up with the new strategy to increase the audience to the content. In this particular learning dialogue, we will see one example, YouTube Analytics. I collected a data from a friend who has a channel called Learn by Watch. So, this data I am showing it to you is from the channel called Learn by Watch and by my friend. Before showing the YouTube Analytics, you might have watched a lot of YouTube videos or a lot of videos in YouTube. So, what data can be collected from the viewers? Can you think of that and how these data will be useful for the developers? I mentioned that Google provides the analytics for the YouTube developers. So, if you are a YouTube developer, you might know the answer already and this is for the question who are not YouTube developers, who are first time looking at the data analytics. So, if you are not a YouTube developer, please think about what data can be collected from the viewers, about viewers behavior and how these data will be useful for the developers, that is YouTube video content developers. You can pass this video when you work on this task. After completing task, you can resume this video to continue. So, that three main data is collected. One is viewing behavior or many views on the video, all these information. The other information is personal information. When you register or sign in to Google, you might ask you to age or gender or other information, location, all this information. All this personal information is recorded. Also from the IP address, the location information is captured. I will tell you from which country you are YouTube viewers or from, how many viewers are from India, how many are from non-India, how much your YouTube video content has reached. In this particular graph, it shows that in the last 48 hours or last in the two days, number of views on particular video, it is like a 68000 view and the graph shows time series representation like number of views over the time period in the last 48 hours. Just 48 hours from May 22nd to May 24th. Here, this particular graph shows for the last 90 days, what is the user's viewing pattern. You can understand that the viewer pattern is exactly similar repeating in a cycle. For example, the viewing pattern over initially it goes peak then goes down again peak. It is because of weekends. The viewer's engagement with the video increases over the weekdays because this content, the channel I was representing is from education content. Most of the students who watch this video during weekdays, during weekdays they do not watch the educational content. So, there is a small peak in the cyclic manners called weekday content and weekend there is a drop in the content. Over in April, the number of viewers in general is less. In May, number of viewers is started increasing. So, you can see a nice curve here increasing. So, this kind of information can be represented from the user's viewing status. This would be very useful for the developers to think what kind of content they create and what happened suddenly that in May month number of users increasing. What was the reason? Is it I added a new video or changed some feature? You added some thumbnail. So, the developer can introspect what happened the number of viewers increased or what happened number of viewers can decreased. These kind of questions can arise from looking at this graph. This is the view from last 10 years and it shows the number of users viewing this particular channel videos for last 10 years. You can see the peak time in 2017 then there is a drop again there is a drops going on. So, this kind of analytics can be useful for the YouTube content developers. This is for the viewing behavior also from the audience that is from the participants. You can see how many participants are male or many participants are female. This representation is the simple bar chart showing that the percentage. So, it is easy for us to understand what is number of percentage of male and percentage of female participants from the gender. And age is represented again in bar chart age is not a categorical variable. However, even you classify the age into several means it becomes a categorical variable like a male female age in the age range between 13 to 17, 18 to 24 something like that. Also the data from where the users from 79% of users from India and 5% from Pakistan and 1, 2% is from Nepal. So, this data will be shows that who is watching your content from where and the very important information is the subtitle is very important or not. Most people do not see subtitle which means most people like to watch the content in the language you are speaking. So, you do not need to spend much time on creating a nice subtitle and everything. Unless your video has a more subtitle subtitle user percentage for example English is instead of 0.2 if it is 5 or 10 or 20 then you might think of creating subtitle for every video you create. Other types of insight is that from where the user came to your YouTube content. Is it by YouTube search or is it from suggested videos or is it from a Google search is it from some other data. Or you found this particular video from represented in some other blog series. This kind of information will help you to find from where the user's traffic is coming into the video. So, then you can do more advertisement to create more users. So, I showed the YouTube video data but I showed only the few set of data like number of viewers. I am doing show what is the users viewing time all this information. But this is due to the flavor that analytics is everywhere. And even by looking at the YouTube videos, number of times review, number of likes all this information can help the developers to decide how to create a better content.