 So, I was referring to this one several times, I am not sure if you guys got a chance, but I got a chance in order to go through the supplication all of these one by one, so you guys can tell me more about what you know. So, why does it assume that the length of the projector is high, because this is reactive layout which has takes only the necessary size anyway, okay, it does. So, this one is the carrier summary chart, you can see that he scored the maximum number of countries when he played in India, obviously right. And then one thing that impressed me a lot is that he has a consistent average across all different countries. And then you see the animation because we discussed about the animation of a ladder instead of drawing the charts. However, if I change this one, it read was the chart right now. And then if I change the bottom one, it animates. Similarly, I can see the test data. He has played, he has a similar kind of average whether at home or at away. He has a similar average across different countries. He played against Bangladesh, these are the countries anyway. And no one is paired, I think, yeah, that's why it's so different, right. And then, I want to show you, we already went through about the lifetime chart where, you know, he scores various different things. His top score was on this, not this, yeah, February 23rd when he scored 200. I am thinking of putting the March equation also in this over. And then, yeah, you can see that he's consistently properly progressed through his career. His top score before he made the 200 came in, when was that? And 1999, wow, really, that was 186. And that was not so fast until 2010. And these reasons are all interactive, by the way, you can remove this. You can only see this in the right way, access image. And then, yeah, this comes to much more about the visualization. These days, you don't want to just start, you want to see so many multiple dimensions. So the radius represents the total run score. The x-axis represents the average and the y-axis represents the number of matches. I mean, see if it is, there's no questions asked. Anybody else is differently so far away. And one other chart that I like is, yeah, one last year chart. So this shows his career. He was really significantly prominent in the year 1997, during the Satcha and all that. And then we all know that he had his low times in the year 2005. He didn't play too many matches, he didn't score too many runs. And then, so this is the loss and the win we can remove from this one for now. We can just see the total number of matches and the total number of runs, which is an area chart. And then he clearly came back in the year 2007, although he had a low time in his 2005. He was at his best completely clearly in the year 1998 and the year 2000. And yeah, he went on a very positive note, not so bad. He had his low again in the year 2010. Okay, he didn't play in the year 2005. So I'm trying to get the similar data set for ODI. And then, so this is, you know, there are a lot of critics in Satcha who say, what is the percentage of time when he scored a century in India 1? It's not really very good. So here you have what are all the times in India 1 and what are all the times in India last. And this only consists of matches in which Satchin played. And his runs are marked here. You can clearly see that the time he scored 100 plus runs in India 1 33 times. And when he scored 100 plus runs in India last, only 14 times. And this is not good enough. We will see it even better. So I have this find out via set up. So this is a simple chart. You slide it, say when Satchin scored more than 100, India 1 33 and lost 15. So you saw it in that area chart, but they were next to each other. I want to be able to see it as a pie chart. And then you can scroll these values around and the animation takes place. This is what Angela and H.S. really provides here. So if there is any merit to that criticism that comes around when Satchin scored 15 in India as a percentage, something around 50. The percentage of times in India lost is in India. When Satchin scored essentially. So there's actually no merit to that argument people make. You can slide these around and see. And this is not good enough. This is just very minimal, right? I want to see more information. What are the times Satchin scored less than 55? Let's go to 100 because let's go to the top bar. It's very hard to stop the slider exactly at 100. Whatever. So Satchin scored less than 101 for 205 plus 188 matches. And he scored data than 101 for 29 plus 12 matches. And you can see that the percentage of lost when he scored less than 101 as the percentage of when is less, is higher than the percentage when he scored data than 101. Can you go to that resolution in which we have to track whether they are following or how they scored first or they were chasing? Yeah, that data is there. So this is all on GitHub. The series is there just, you know, and then all of the high-piped notebooks where I created this data into the form of JSON is also there in the repository. There are hundreds of things you can visualize about it. We ended up creating these seven. You're totally welcome to create more chance by looking at it and submitting it to request. And then, so yeah, what in part is Satchin and how about India, so these are all the matches India entirely played with Satchin and these are all the matches India played without Satchin. And you can see whether they won by how many wickets, won by how many runs, lost by how many wickets, lost by how many runs. So much of the don't try to get the representation best. We had a base JSON for base HR directive for my chart, so it's happening. So if you think that alternative visualization is good enough, please suggest, or even better, create one yourself, or just create one yourself and that's it. That's it, right? We've gone through everything. Yeah, so packaging, this is an app, and we took a look at it. I was hoping to go early, but I will go ahead and then I'll also feed about it. If any of you are interested, please use it, share it. It's about it.