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Part III<br />

Creating Charts and Graphics<br />

Parts of a Chart<br />

Refer to the accompanying chart as you read the following description of the chart’s elements.<br />

This particular chart is a combination chart that displays two data series: Calls and Sales. Calls are plotted as<br />

vertical columns, and the Sales are plotted as a line with round markers. Each column (or marker on the line)<br />

represents a single data point (the value in a cell).<br />

The chart has a horizontal axis, known as the category axis. This axis represents the category for each data<br />

point (January, February, and so on).<br />

Notice that this chart has two vertical axes, known as value axes, and each one has a different scale. The axis<br />

on the left is for the columns (Calls), and the axis on the right is for the line (Sales).<br />

The value axes also display scale values. The axis on the left displays scale values from 500 to 1,200, in major<br />

unit increments of 100. The value axis on the right uses a different scale: 0 to 100, in increments of 10.<br />

A chart with two value axes is appropriate because the two data series vary dramatically in scale. If the Sales<br />

data were plotted using the left axis, the line wouldn’t even be visible.<br />

Most charts provide some method of identifying the data series or data points. A legend, for example, is often<br />

used to identify the various series in a chart. In this example, the legend appears on the bottom of the chart.<br />

Some charts also display data labels to identify specific data points. The example chart displays data labels for<br />

the Calls series, but not for the Sales series. In addition, most charts (including the example chart) contain a<br />

chart title and additional labels to identify the axes or categories.<br />

The example chart also contains horizontal grid lines (which correspond to the left value axis). Grid lines are<br />

basically extensions of the value axis scale, which makes it easier for the viewer to determine the magnitude<br />

of the data points.<br />

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