### Section 4.2.4

## Line Graphs

Line graphs visualize trends among dense data sets, which are sometimes listed in an accompanying
table in a report. Data points are plotted with relation to a vertical axis showing the dependent
variable and a horizontal axis showing the independent variable. A line is then drawn through these
points to display significant trends, as shown in Figure 8, an example of a single line graph.

The intersection of the *x* and *y* axes is always the zero point. Put a break
point on the *y* axis if the data span a range too large to fit in your graph, as shown in
Figure 9.

If for some reason zero is not the starting point for your axes (because the values are too high, for
example), then state that explicitly in prose within the figure or indicate it on the axes themselves.

To use line graphs effectively, follow these guidelines:

- Label each axis clearly and show units of
measurement by means of regularly spaced ticks.

- Show significant data points plotted between the
*x* and *y*
axes clearly. If more than one set of data is plotted, you may want to distinguish
data points by means of different symbols (circle, square, triangle), which are then
identified in an accompanying key or legend.

- Keep your graph clear of excessive grid lines which may obscure your data points or
curves.

- Clearly label plotted lines.

#### Multiple Line Graphs

Multiple line graphs show comparison between two (or more) data sets for the same value, as shown
in Figure 10, in which data for the item of study in Figure 8 are not
compared with data for another item.

## Line Graphs ##

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