The first step in analyzing the imported image data is by visual inspection. In Evince, the definition of raw image data is that it has not undergone data reduction by means of multivariate modeling. Three types of matrices are available and can be found in the data tree:

- Original Data. It is found in the top of the data tree. It represents the complete untreated imported data.

- Xtraining. The training set that has been set to X. This type of data is found in the container "X & Y" found in the data tree.

- Xtraining (transformed). The training set of X that has undergone some kind of transformation. This type of data only appears in the data tree when a multivariate model is created. This is the data that enters the multivariate model. Although this data is transformed, it is still considered as raw data since it has not been reduced by means of multivariate modeling.

In particular, the following plots are useful for analyzing raw image data (these are created by dragging the above mentioned matrices onto the plot area):

- Contour2D
- RGB Image
- Spectral plot

The RGB image and Spectral plots are created automatically if the "Standard Image" template is chosen during import:

The spectral plot will be updated when pixels are selected in the RGB image. Three lines appear that denote what spectral bands are used for the drawing of the RGB image. When several RGB Images or Contour2D plots are available, the latest selection updates the spectral plot.

The RGB image can be updated by dragging a line in the spectral plot to the left or to the right. The mouse pointer will change into an arrow with two ends when this functionality is active.