For instance, If I have ‘NJ’ in my data and we don’t automatically map that to New Jersey I can manually map it and then save that definition for use in the future. So the green check mark tells me that all the states have been properly matched. Now I can simply drag state into the geographic box to bind that field to that level of detail. Now I’m going to take some of my measures, for example, federal spending in 2004 and display it as different colors on my map. Let me make my map a little bit larger, and maybe I’ll move the legend over here.
So I can see that California got the Lion’s share of federal spending- not surprising since I think they’re also one of the leading States in terms of population. Now the maps are in the chart engine and within the same infrastructure, so I can take full advantage of a number of different aspects for example: different aesthetic types like shape and size of points. So now [it’s] displaying the both the color and the degree to which a point is filled to see multiple measures at the same time. I can also break this down as a trellis graph or a multi chart. So if I add region to the X- axis lets say, I can now horizontally scroll through multiple maps broken down by different regions.
So this is a basic map using some of the default data in default maps that we have built in, but you can actually go a step further now. Since we’ve merged these maps into the chart engine, as I mentioned before, you can also now plot, latitude and longitude in their raw form on a map. So, for that I actually will create a new viewsheet and I’ll use another worksheet with some sample data that I have. So I’ll add my new chart, change it to a map and now I have latitude and longitude which again I have to set geographic, but I wont be associating them with a geographic feature. I’ll associate these with the US map, and then I’ll simply drag them down to the X and Y axis accordingly. Longitude goes on the X-axis and latitude goes on the Y-axis. Now I see all the data points, this happens to be plotting out the historic route 66 path. Each of these data points is actually a place of interest and I can actually map that name to any of these other aspects- for example text. Again, I’ll make my map a little bit larger and within this map infrastructure I can even click and drag a highlighted area to zoom into. So I see these spread out a little bit more.