A density plot is a smoothed version of a histogram. It estimates the probability distribution of a continuous variable by drawing a continuous curve based on the data. This helps identify the distribution’s shape and compare it across groups.
Density plots are particularly useful when comparing the distributions of multiple categories. For example, a researcher might compare income distributions of two cities using overlapping density plots. The curves make it easier to observe differences in central tendency, spread, and skewness than with raw histograms.
They are also frequently used in statistical modeling, such as kernel density estimation, and are valuable in academic research, economics, and social science for exploring underlying patterns in numeric data.