seaborn: statistical data visualization
Project description
Seaborn is a library for making statistical graphics in Python. It is built on top of matplotlib and closely integrated with pandas data structures.
Here is some of the functionality that seaborn offers:
A dataset-oriented API for examining relationships between multiple variables
Flexible data aggregation with automatic estimation and plotting of error bars
Multiple options for visualizing univariate or bivariate distributions
Estimation and plotting of linear regression models to reveal trends
Tools for building figures with multidimensional views onto complex dataset structure
Concise control over matplotlib figure styling with several built-in themes
Tools for choosing color palettes that faithfully reveal patterns in your data
Seaborn aims to make visualization a central part of exploring and understanding data. Its dataset-oriented plotting functions operate on dataframes and arrays containing whole datasets and internally perform the necessary semantic mapping and statistical aggregation to produce informative plots.
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