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Seaborn Histplot Function

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Main Features: Displays univariate or bivariate histograms showing dataset distributions
Computes statistics within bins for frequency, density, or probability
Supports kernel density estimation for smoothing distributions
Input and Configuration: Accepts long-form vectors or wide-form datasets
Requires x and y axis variables for plotting
Allows semantic variable mapping for color coding
Supports various statistical normalization options
Advanced Options: Can plot cumulative counts as bins increase
Supports multiple histograms from long-form datasets
Enables kernel density estimation for smoothing
Provides options for transparency and colorbar display
Important Notes: Bin size choice significantly affects visualization insights
Default bin size depends on sample size and variance
Log-scale bin definition recommended for skewed data
Multiple color maps possible for categorical variables