Measure Data Viewer

The Measure Data Viewer displays the selected measure in a crosstab at the top of the page and a graph at the bottom of the page. To make extensive changes to the selection of data, choose Query Builder from the File menu.

Toolbars

Each display has its own format toolbar. Tooltips provide brief descriptions of the tools, which you can see by resting the cursor over a tool.

The text formatting tools are the same on both toolbars. You can change the font, the font size, font color, fill color, and the alignment of the text. To change the format, select the text first, then click the tool.

On a crosstab, you can format the selected cells as plain numbers, or add currency symbols or percent signs. You can also add and remove decimal places by clicking the Decimal tools one or more times.

On a graph, you can change the graph type, add or remove a legend or grid lines, or add three-dimensional or gradient-color effects.

Crosstab Display

In the initial cross-tab display, the members of the fastest-varying dimension label the columns, and the members of the next-fastest varying dimension label the rows. The members of the other dimensions label the pages. You can view only one page at a time.

You can expand and collapse the dimension hierarchies that label the rows and columns. You can also change the location of a dimension by pivoting or swapping it. If you wish, you can use more than one dimension to label the columns and rows, by nesting one dimension under another.

Graphic Display

The format of the graphic display is controlled by the crosstab. If you want to change the dimension on the X-axis, for example, you must change the layout of the crosstab.

Using the Graph Type tool, you can change the type of graph. Different graph types reveal different characteristics of the data. The following table describes common uses for the various graph types.

Graph Type Usage

Bar

Trends over time; comparisons, such as Sales in different regions
Pie Percentage or comparisons of percentages; relationship between the parts and the whole
Line Trends over time; rate of data change
Area Trends over time; rate of data change
Combination Trends over time; effect of one variable on another
Scatter Correlations of two or three measures
Stock Stock prices over time
Circular Cyclical or directional patterns
Pareto Highest and lowest contributors to a total; ranking
3-D Three-dimensional view of trend or comparison

Related Topics

Viewing the Data