 All right, welcome back. So let's start the next session. Before that, I want to display a bit of the Blackbird. I will paste this on the attendance should be visible now. You just have to type in Blackbird B capital. All other letters are simple. Let me share my screen again. So next we are going to discuss like how the output that you get when you aggregate the tracker data and visualize them as a pivot table based on whether it has been configured as the output type enrollment or event. Let me repeat myself. So next what we are going to do is like we are going to compare the different of pivot table output. So basically pivot table output is always, is an aggregator, right? So we are going to compare the pivot table output based on the selection of output type events versus enrollment. So let me try to show this by taking two examples. I'm going to open the output work doses by six, this one. So what do we see here? So here we are seeing in this output what we are seeing is we are seeing the O units as rows and then we have male and female desegregation as columns, right? And we are seeing the total number of events and based on that desegregation as male and female, okay? So if you look at the configuration, we will see that the table style is pivot table. That is because we are seeing the aggregate outputs here and the output type is events, not enrollments, okay? And we are getting a total figure of 32,122 as a total, right? So let me contrast this, I will duplicate. Let me open the favorite item, coag registration by six. Now what do we see here? We are trying to get the similar kind of output, but here the output looks same, right? So for example, let me show the previous one. Here we have the O units as rows and the male and female desegregation as the columns, right? Even in this table, we are seeing the O units as the rows and the male and female desegregation as columns. And again, I think the periods, it's the same this year for the O unit, which is the country level, right? Whereas even here, it's the same O unit and period dimensions that have been selected. So why do we get different outputs for the same configuration? That is simply because in this, the last one I showed, which is the registrations by six, here the table style is pivot table, output type is enrolled. Whereas in the first one, it's a table style pivot table and output type events. So this is what is causing these different outputs. So let's see what happens. Let me go back to the first example. When we consider the table style as pivot table and output type as event, what actually happens is, we are counting all the events, right? So there can be duplication. So for example, if our focus is to see what actually happened with the vaccination campaign, the doses, right? If our focus is mostly about the doses that were dispensed, then this is a kind of a valid out because like we don't mind like whether same person has been, I mean like receive two doses, as in like it was like we are counting the first dose and second dose both, it's not a concern like because we are mainly focusing on the doses. But whereas here, our concern is mostly about the people, the people who have been vaccinated. So we don't want the same person to be counted twice, but we tend to get the number of people and probably what we can actually do is other than, I mean other than the factors like we can analyze the age and if we are capturing something else like economic status, we can include criteria like that also and it will be a more reflective analysis compared to the first one, right? So that's the difference between these two types of outings. Is that clear? Any questions based on the two types of pivot tables that we discussed here? Because this is something that is very important to understand the difference between using enrollments and events. Are there any questions? That's for understanding, hello. Yeah, you have a question? That's for understanding. Is it if I enroll in the program? In enrollment table, I will be shown only one and if I take in my full two banks and I will be representing two banks in an event program, is that like it? Let me, is that your question? I'm sorry, I couldn't quite get your question. It's not a question, just for my understanding. Hello? Yeah, hello, sorry. It's not a question, just for my understanding. If one person registered in the system, for example, analysis by enrollment, then person one will be displayed in the stable and if this person take full banks in, for example, he takes two vaccines, then two will be shown in the event reports. Is that like it? Just for my understanding. Okay, sure, good question. So again, Arif, one thing I must mention is like, okay. So what can actually happen is like entire thing, I mean about how the analysis is going to appear is based on your configuration. So you can configure this vaccination program in different ways. So for example, you might decide like, if this is something like COVID vaccination, if you are using the generic COAX package that we have in DHS too, there we are having a repeatable stage, right? For the vaccination, where you have to select first dose and second dose. So, but it stays within the same stage. So in that case, if you do an event type of analysis because we have a repeatable stage to capture the vaccine dose, the same person will be counted twice. But having said that, if you're asking like, is it going to be same every time? It is not really the same, because like if you configure DHS too for a different vaccination program, say like there are your program demands like and the based on the requirements, you might feel like you will be capturing the first and second doses in two different program stages. Then it is not so, right? So in that case, the person will only be counted once, even because like you have two different program stages to capture the first and second dose, okay? So that's what I want to highlight. Like it is depending on your program configuration. If you have configured the program to capture all doses irrespective of whether it's the first, second or third in the same repeatable program stage, then if you have event type visualization, person will be counted more than once. But when we are doing enrollment type of analysis, it will be counted only once. I hope I'm clear? Okay, great. Any more questions? If not, let's try to do the exercise three. I mean, it's a very simple exercise. So let's take about five minutes. And then we will move on to the last section of today's presentation, like where we'll be discussing about enrollment across different stages. So if five minutes is not sufficient, I think based on the feedback we received, like most of you still prefer the session to be over early and you can do the exercise later. So that's my understanding. But if any of you feel that you need more time to do the exercise while we are doing the live demonstration, please let us know in the chat. If not, we will take a five minutes break to do this exercise three and then we will move on to the last one.