*Using the Graph Function*

The GRAPH
function in EZAnalyze allows you to create visual representations of
your data with three common types of graphs - *Pie Charts, Bar Charts, *and* Area
Charts* (glossary). These types of graphs
can provide you with powerful pictures of your data, and provide you
with a meaningful way to communicate with other people about the results
of your data analyses.

To create a graph with your data, select the "Graph" option from the EZAnalyze menu in Excel. The sub-menu presents you with three graphing options:

**Histogram**.
A histogram is a graph that shows you the *distribution of scores* for
a variable. Histograms can be used for all types of numeric and categorical
variables, and show you how many cases (as a number, or percent of the
total number of cases) there are within a certain range of scores. For
example, if you wanted to know how many students there were in each ethnic
group in your school, you could use a histogram to create a graph that
would show you how many students there were in each group. You have several
choices for creating histograms. A useful choice to demonstrate statistical
concepts is the 'Traditional Histogram' with multiple variables, which
allows you to display the distribution for several variables on one graph.

**Disaggregation.** A
disaggregation graph allows you to create a graph of disaggregated data
(see the DISAGGREGATE help file for more
information on disaggregation). These graphs can be particularly powerful
to show differences between groups.

**Multiple
Variable.** A multiple variable graph allows you to display
the mean, sum, or N for several variables side-by-side. Here is where
you can also create 'Error Bar Graphs', which are useful for demonstrating
statistical concepts.

See modifying your graph for more information about how to make your graphs look nicer, and more accurately portray the information you are trying to convey.

*For
information on how to create each graph, click on the link above.*