 The way how I did it is just as simple as you are aware, I can adjust refresh. So I started adding the boundary which is coming from this layer called organization unit. So I just click it to that layer and then I selected the entire org unit which is called training land and then I selected the level here which I said actually I want for the district. And once I'm done with that, I just added the layer and then I was able to get my boundary layer showing up. Another step that I just did, it just I wanted to add the thematic layer which is having the detail and it was wanted to show HIV test performed which is actually being found in HIV data element group and then I selected the specific data element which is this one here called HIV test performed and then I wanted it to show for the last six months which is here and again for the method of participate I just stick to this single meaning aggregating for the period data also here because wanted at the facility level so I have this region and then select once done I just added this layer to the top on the top of the on the top of the boundary layer. So this is what I just did and the last one I just explained the difference between when you come to the study here we have this classification you have the equal interval and the equal count and just explaining to you they have this classification actually works. As I said for the equal interval it's actually taking the maximum data and then divided for the number of classes and then be able to draw this range here depending with the value that has been obtained at the maximum value. So the key or the scale that is being drawn here if you are using the equal interval it's actually take the value, the maximum value and then divide for the number of classes that you want for the key to be created but if at all you are using the equal count is checking for the number of facilities and then divide by what by the classes that you have used so each value will be distributed depending with the number of what of the facilities. For example, if I do here you'd be able to see that the maximum facilities and then divided by the classes you see it's having six for each of the class it's having either 34 or 33 number of facilities for each class. So whatever method that you are using for this classification you need to be careful to know which method that should also bring the interpretation in much. For example, if I have to ask you which method do you think it's the most or the best or the seems to be clear for the user or for the people who will be actually leading your map which method between the equal interval and the equal count, who can tell you? Hello people, are you following? Yes, sir, yeah. Okay, yeah, I was just, from your point of view what do you think is the best classification when you are drawing a map between the equal interval and the equal count? I would say equal interval. Equal interval, so that's for me also I would rather use the equal interval for this specific kind of the data. For this kind of data that I wanted to that would be actually analyzing using the map so I could rather use the equal interval but there's some scenario that you can use the equal count so it depends on the nature of the information that you want to analyze. But also what if you want to save this kind of report? What can I do? So saving it's just the same as you have been saving to other analytical tool like the data visualizer and the pivot table. So it's still the same. So here I would just want you to save what actually you have created. So to me I would just come to find here and then I come to this, maybe you're called save. I think you know the difference between save and the servers has been explained to the previous session. So you can just save it by putting the initial real name. For example, can you just put two zero and then specify what went in there and where. So I can just say HIV test formed maybe for last six months. So once it's done, I just go ahead and save. So as you can see, after saving it then it comes here as my title. So this map, which means it's showing for the HIV test performed for the last six months maybe by facility. So you can just add it there by facilities. So another thing that I wanted to demonstrate to you is what if you want to add, for example, I would like it to add a facility there. So let me start a new one. So for example, I wanted to add the facility there. I can just start by adding the boundary there. For example, I wanted to show for the district, for the entire organization unit. And if I wanted to add a facility there because we have seen how we tried the boundary there, you need to come here to the add layer and then you will see this layer called the facility layer. So I can just come here and then click for the entire organization unit. And you see by default, by level, it has been selected with the facility there, the facilities, and then be able to add. So if I add, of course, I have just selected the ownership but by default, you can just come here and be able to select the type of whatever the group said that you wanted to see the distribution of facility. For example, they were selected by default it was ownership but I can just use it by the type. For example, I want to see the distribution of facility. For example, to know the health is entered, the distribution of dispensaries enter to a given location. So I can just go ahead and update it. As you can see, I will be having, for example, I can zoom one of the, let me zoom this one which is somewhat crowded. As you can see, I can just zoom one of the location having a different facility type. So and each of these icon you see has been defined in the region here. So for example, if you know which this one was it, you know that this was kind of a PhD. So whenever you see this icon, you see that this is a PhD. So for example, if you want to know how many PhDs that are there within this given this which was called a fish district, you can be able to identify them by checking this icon. Are we good? But also you can also want, for example, to show. For example, I can just open the map that I just created before, for example, and then be able to add the facilities, the facility layer on top of it. So for example, if you want to do that, I just go ahead and select, remember the map that I created, it was called Saturday with my kids. I created, it was called Saturday with my keyword, truso, and then here it is. And then I can just go ahead, add the facility layer. For example, I want to know the distribution that among this data that I found here, which facility is having that kind of HIV test performed. So I can just click here and then select the type and then update or add that layer on top of it. So of course I found that it's crowded, but if you can keep on zooming it, you will find that, for example, you'll find this icon, which is actually the PhD. One of these icon called the hospital gateway is having a lot of people being tested for the HIV. So you can also add a different layer on top of other layer that has been created. But another use of functionality that you might need to know is that you can also try to increase the size, what I can say the size of the, or if you want to make it transpire. For example, here, looks so like very dark, but you can use this opacity to set. For example, if you want it to be like faint or to be like more blighter, you can keep on resizing only this feature here. So I want to also, one of you to kind of be able to add one of the, I can just go ahead and remove this facility here. And then I can just also want to view to add another layer, a thematic layer with the following detail and then let's then discuss together. For example, let me ask you to add another, another thematic layer with the following detail. Let me share my screen. Let me stop when I share to my screen. So I would like you to add another thematic layer with this detail here. Can you see my screen? Hello. Can I come through? Yes, yes. So I want you to be able to, to add another thematic layer having this detail. We'll be the data element value type and it's found in this HIV group. And the data element is called HIV test positive and also added for the last 60 months for the district now. So for now go for the district and then let's see how we can fit if you want to see for the male and the things like that. So I just to give you another two minutes for you to add this, to add this thematic layer.