 The next thing is the drill down and bar and column charts and the data visualizer. So what I'm gonna do is I'm going to open up my ANC single value chart. I am going to change this to a column chart right here at the top, click update. I'm going to change my period to last 12 months. I am moving my data to filter and my org unit to series and filter org unit to series and then draw my period over to category, the update. And now I have this bar chart or sorry, excuse me, column chart and you see that actually my legend is still applied to this column chart. So what is the new feature? The feature is able to drill down the org unit within a column. So let's just take this as an example. Here we see that in May, 2021, we had a ANC one coverage of 142%. Now, if you understand ANC coverages, you know that this is usually not technically possible. That means that you're having more ANC visits than you have pregnancy essentially. And let's see and drill down into this and see if we can find the facility that's causing the problem. So I'm going to click on this column and I'm going to say change org units and I'm going to select district level in Sierra Leone. So if I do that, then you see that now my chart is broken down every single month by the various districts in Sierra Leone. And if we're still looking at this, when we see that there is one district here, Western area that has a ANC coverage of 204%. Again, this is should be considered an outlier. This is probably a data quality issue. Let's click on that particular Western area drill down. You can see now I can go up or down, up back to Sierra Leone at the national level or down to Western area. If I go down into Western area, you see now that I have my Western area being broken down into the two chiefdoms, Freetown and rural Western area. And you see again in May, rural Western area is reporting 275% ANC one coverage. So let's go down into that and see why that is so high. So now we're going to go all the way down to the facility level, this is the lowest level. And when I do that, you see that now I've broken out every month by all facilities. And you can see that, look, this one facility, Gaffton MCHP is reporting an ANC one coverage of 870%. Obviously a data quality problem. And this is something that most folks would have to follow up on and you can appreciate that one health facility is throwing off the entire national statistics. So it is a serious outlier. And hopefully you've appreciated how very quickly I was able to just get down to that and see exactly where the problem was by just drilling down, finding a month that did not look right or kind of was suspicious and drill down, down, down until I identified this facility that's causing the problem.