Spend some time navigating the map and trying to understand the spatial distribution of your data (in the example provided, people who report ‘not good’ health). You may wish to add area labels to make this easier. Clicking on the three dots “…” beside your map layer and choose Create Labels. Choose Area Labels as opposed to the code to add more useful labels.
By this point you may be happy to stop and re-practice indonesia rcs data the above and if so that is fine – you have downloaded data, mapped it and looked for spatial patterns. session is to compare the currently mapped data with a second dataset to see if any patterns exist between the two. As you already have one dataset mapped (in my case, people who report ‘not good’ health), it is time to add a second. To do this, click on the little three dots beside your map layer again “…” and click Copy.
This will create a duplicate map layer. You can now repeat the steps followed previously to display a second dataset using this layer (for me, my second dataset is households without access to a car). Note that this time it would be wise to choose a different method of visualisation so one dataset can be seen ‘on top’ of the other. If you used Counts and Amounts (colour) last time, using Counts and Amounts (size) this time will enable you to see both datasets at the same time and hopefully draw some comparisons – see my example overleaf.