How do standard versus custom dimensions change the view of the data?

To understand how you might use custom data dimensions, consider the following example, which illustrates how you can use standard and custom data dimensions to look at your data in different ways.

Item	Options
Left eye cloudiness	❍ Clear ❍ Moderately cloudy ❍ Very cloudy
Left eye color	❍ Brown ❍ Blue ❍ Green
Right eye cloudiness	❍ Clear ❍ Moderately cloudy ❍ Very cloudy
Right eye color	❍ Brown ❍ Blue ❍ Green

Subject	Left cloud	Left color	Right cloud	Right color
A	Moderately cloudy	Blue	Clear	Blue
B	Very cloudy	Brown	Very cloudy	Brown
C	Clear	Green	Clear	Blue

Alternately, you might want to pivot your data on a piece of information, such as Eye.

In the following example, Subject is selected as a standard data dimension. In addition, a custom data dimension of Eye has been created with the values of Left and Right. When you add items that collect data for the left eye to the data series, you select the Left value for the custom dimension. When you add items that collect data for the right eye to the data series, you select the Right value for the custom dimension.

Subject	Eye	Cloudiness	Color
A	Left	Very cloudy	Blue
A	Right	Clear	Blue
B	Left	Very cloudy	Brown
B	Right	Very cloudy	Brown
C	Left	Clear	Green
C	Right	Clear	Blue