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Basic Analysis and Graphing - SAS

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Chapter 10 Interactive Data Visualization 257<br />

Overview of Graph Builder<br />

Overview of Graph Builder<br />

You can interact with Graph Builder to create visualizations of your data. You start with a blank slate <strong>and</strong><br />

drag <strong>and</strong> drop variables to place them where you want them. Instant feedback encourages exploration <strong>and</strong><br />

discovery. Change your mind <strong>and</strong> move variables to new positions, or right-click to change your settings.<br />

Graph Builder helps you see multi-dimensional relationships in your data with independent grouping<br />

variables for side-by-side or overlaid views. With many combinations to compare, you can create a trellis<br />

display of small graphs. Graph elements supported by Graph Builder include points, lines, bars, histograms,<br />

box plots, <strong>and</strong> contours.<br />

The underlying philosophy of Graph Builder is to see your data. To that end, the default visualization<br />

elements impose no assumptions, such as normality. If there are not too many observations, you see all of<br />

them as marks on the graph. A smooth trend curve follows the data instead of an equation.<br />

Once you see the data, you can draw conclusions directly, or decide where further analysis is needed to<br />

quantify relationships.<br />

Example Using Graph Builder<br />

You have data about nutrition information for c<strong>and</strong>y bars. You want to find out which factors can best<br />

predict calorie levels. Working from a basic knowledge of food science, you believe that the fat content is a<br />

good place to start.<br />

1. Open the C<strong>and</strong>y Bars.jmp sample data table.<br />

2. Select Graph > Graph Builder.<br />

3. Drag <strong>and</strong> drop Total fat g into the X zone.<br />

4. Drag <strong>and</strong> drop Calories into the Y zone.

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