Density Plot
A density plot is a smoothed, continuous version of a histogram, computed via kernel density estimation. Where a histogram chops the data into bins and shows discrete bar heights, a density plot draws a flowing curve whose area sums to the total — making it easier to compare dist
Template details
- chart
- density
- kde
- distribution
- d3
When to use this template
This visualization helps analysts understand the underlying shape and characteristics of a continuous variable's distribution. It is particularly useful for identifying central tendencies, assessing the spread of values, and detecting skewness or multiple modes in the data. An analyst would reach for it when a smooth, generalized representation of value concentration is more insightful than discrete bin counts.
- Analyzing the distribution of a single continuous numerical variable.
- Comparing the shapes of distributions across different categories or groups.
- Identifying modes, peaks, and valleys in data value concentrations.
- Visualizing large datasets where histograms might appear noisy or over-binned.
- Assessing the symmetry or skewness of a variable's observations.
- Understanding the probability density of values across a range.