Generate bins over which you want to distribute numeric predictors. Binning
allows you to group cases into bins of equal volume or width.
The bins of equal
width are simpler to manage and easy to understand. The bins of equal volume scale data well,
handle skewness better, but are difficult to use with categorical data.
-
In the
Data analysis
step, click a numeric predictor.
-
In the predictor workspace, click the
Binning
tab.
-
In the
Minimum value
field, enter the threshold value of the
lowest value bin.
Values lower than the minimum value belong to the lowest bin.
-
In the
Maximum value
field, enter the threshold value of the
highest value bin.
Values higher than the maximum value belong to the highest bin.
-
In the
Number of intervals
field, enter the number of intervals
over which the values of predictors will be analyzed.
-
In the
Binning type
list, select whether you want to create
intervals with equal volume or width.
-
Click
Add special value
to add a value that you want to exclude
from the bins. Click
Apply. Typically, special values represent
error codes.
- Optional:
To read the data in a graph or a table, click the
Graphical view
tab or the
Tabular view
tab.
-
Confirm your updates by clicking
Submit.