To provide an image processing method that captures more information into an image from a data set, and that creates a colored image for a multi-variable data set which can be used in a neural network trained for image recognition.SOLUTION: A digital image having a superposed line graph corresponding to different variables in a multi-variable data set is created, and the graph represents a value of the variable of a continuous item of the data set. The digital image is colored according to a process, in which a color is assigned to an area below a line graph, depending on a color pre-assigned to the variable and an average value of data items, for each positive value variable. A color is assigned to an area above the line graph depending on the color pre-assigned to the variable and the average value of the data items, for each negative value variable in the data item. The color of an area in which at least two areas of the line graph overlap is added.SELECTED DRAWING: Figure 4
IMAGING OF MULTI-VARIABLE DATA SEQUENCE