SPSS has various options for creating visuals of your data. Most of these options are under Graph on the top menubar. Let's walk through how to create various graphs and visuals of your data!
Bar graphs are great for visualizing simple counts of your data, for example, the number of individuals who fall under specific categories, or how many individuals selected a certain response option. The steps below show you how to create a bar graph. The other tabs in this section show you how to edit the appearance of the graph; click through the other tabs after you create a bar graph.
Let's walk through how to create a bar graph!
Now that you've created a bar graph and opened up the graph editor window, click through the other tabs at the top of this section to see what you can do in the graph editor window.
You can edit the appearance of the graph by double-clicking on the graph (in the Output window) to "activate" it.
After double-clicking on the graph, a new popup window will appear where you can edit the appearance of the graph. It will look like this:
Click through the other tabs at the top of this section to see what you can do in the graph editor window.
Let's go over some of the useful features in this graph-editing window.
First let's increase the font size of our Y-axis scale.
Now let's go over how to change the color of your graph elements. Let's start with the bars of the graph.
Now let's go over how to change the text of any titles in your graph.
Let's change the text of the Y-axis title.
If you did not add a title to your graph when you created it, you can add a title from the graph editor window. You can also add footnotes if your graph needs them.
If you would like to change the orientation of the graph to horizontal instead of vertical, click the icon on the toolbar that looks like a horizontal bar graph (the Transpose Chart Coordinate System button). Click that same button to change the orientation back to vertical.
Now let's add Data Labels to our bars. Data labels show the actual number that each bar represents (in our case, data labels will show how many individuals in our sample fall under each ethnicity category).
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