 In this overview, we are going to demonstrate combination charts. Combination charts are a new chart type that we can create within the data visualizer as of DHIS-235. These types of charts allow us to combine a line and column chart within the same visualization. You can see an example of a combination chart on screen right now. In addition to allowing us to combine line and column charts in the same visualization, we can also create separate vertical axes based on how the output should be displayed. DHIS-2 now supports up to four vertical axes within the same visualization. In the example we currently see on screen, there are two vertical axes, one for each data item we have selected. Let us quickly review and interpret this chart. The chart and axes are color coordinated. This allows us to identify what is being represented on the chart itself. This chart currently has two data items, BCG Doses Given and BCG Coverage. Note that these types of charts can contain any data that you would like. These data items are just being used as an example. If we refer to the legend, we can see these are identified in blue and red colors respectively. BCG Doses Given is in blue and BCG Coverage is in red. Going back to the chart itself, we can note that the column chart in blue color represents BCG Doses Given. With the values represented be the left vertical axis, which also has its title in blue. The line chart in red color represents BCG Coverage according to our legend, with the values being represented via the right vertical axis, also in red color. Since BCG Coverage is a percentage and BCG Doses Given is a numerical value, if they were presented on the same axis, it would be very difficult to relate the coverage values with the number of Doses Given. We can generalize this concept for any occasion when we are comparing data of two or more different value types, as this type of chart allows us to easily compare values that are of different types or scales together within the same visualization. Now that we have had a chance to see a combination chart, let's go ahead and review how to make it. Start by selecting a column chart from the visualization type menu within Data Visualizer. Select the inputs for the chart as you would for any other chart. We can start with our inputs for our data. Our previous example showed BCG Doses Given and BCG Coverage. Let us select the same data items here. I can select BCG Doses Given followed by BCG Coverage. This is just an example and you can think of any relevant comparison to display using this type of chart. For this example, we can just leave the organization units and periods as their default and go ahead and update the chart. When I update the chart, I can see the issue I have with these two data items using the same axis. The values for BCG Coverage are difficult to interpret or relate to the values for BCG Doses Given due to the difference in scale of these two data values. In order to modify this chart, so it uses a line chart for a specified value and as an additional y-axis, I can go to Options and then select the Series tab. Within the Series tab, I can select the visualization type for each data item and assign it various vertical axes. We can see that up to four vertical axes are now supported. Let us change BCG Coverage so it is represented by a line chart and using its own axis as well. We can do this by modifying the options for BCG Coverage under the visualization type and axis headings. Once I have selected these options, I can go ahead and update the chart again. We can see that I have now created the combination chart we reviewed together earlier. In this overview, we discussed combination charts and demonstrated how to create them in Data Visualizer. We hope this supports you in displaying and interpreting your data in more meaningful ways. We look forward to hearing your comments on this feature. For any questions, please do not hesitate to contact us on the community of practice.