This is a method of classifying feelings based on 5 years of my self-reported data. At the end of each day, I record aspects of productivity such as sleep, diet, exercise, socializing, music, work, and learning, as well as 58 unique feelings, or affective states. These feelings are recorded on a scale of 0 to 10. This is an attempt at a data-driven classification of feelings, rather than thinking of all feelings as being either notionally positive or negative.

Does feeling (x) make me feel good or bad? Does feeling (x) make me more or less productive? Is feeling (x) more strongly associated with one behavior or another? This is a visualization of where each of those 58 feelings fall on a variety of spectra.

Each graph is a scatter plot that shows how strongly each of the 58 feelings are correlated with two other variables.