When you come down here to the gallery, you have a choice of variations on bar charts, and line chart, and area, pie charts, scatter plots, 2D and 3D, histograms, a high-low chart, usually for finance, boxsplot, great for looking at outliers and then dual axis charts, which can be a little hard to read, so I generally avoid those. The way the Chart Builder works is you drag in a template chart and then you start putting the variables in. But I'm going to just press OK for right now, 'cause most of the time, your data will be fine. Now, I'm going to show you why they say that because it turns out that not all of the variables that are in the data set that I'm using, which is demo.save, which is one of the sample data sets, not everything's defined correctly, and it changes the way that some of these graphs work. Chart Builder brings up this little dialog here that says you need to specify the measurement level.
Let's start by going here to Graph and let's choose Chart Builder. Over the years, SPSS has made some wonderful developments in the data visualization options that are available, and I want to walk you through some of these. So it's a great way to start and see what you're dealing with. People, humans, are visual animals, and we're able to extract a lot of information from these. Visualization to graphics are very in high information density, they bring a lot of information in a small amount of space. There's some really good reasons for that.
The best way to approach any analysis with a data set is by visualization.