Left skewness, or negative skewness, in a dataset occurs when the tail on the left side of the distribution is longer or fatter than the right side, indicating that the mean is typically less than the median. This asymmetry suggests that a significant number of observations are lower than the central tendency, often affecting statistical analyses and interpretations.