AI engineering glossary · NumPy pandas visualization
What is KDE plot?
KDE plot (also called kernel density estimate): A smooth curve that estimates the shape of a distribution by placing a small bump on each data point and adding them up (kernel density estimation). It avoids the choice of bin edges in a histogram, but its smoothness depends on a bandwidth setting.
KDE plot: an example
sns.kdeplot(df['age']) draws a smooth curve of the age distribution, perhaps showing two peaks at 25 and 45.
Related terms
More NumPy pandas visualization terms
Where you learn it
KDE plot is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.