> For the complete documentation index, see [llms.txt](https://igb.mit.edu/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://igb.mit.edu/mini-courses/python/data-processing-with-python/seaborn/visualizing-statistics.md).

# Visualizing Statistics

### Statistical Relationships

Please refer to [Visualizing statistical relationships](https://seaborn.pydata.org/tutorial/relational.html)

### Distributions of Data

Please refer to [Visualizing distributions of data](https://seaborn.pydata.org/tutorial/distributions.html)

### Categorical Data

Please refer to [Plotting with categorical data](https://seaborn.pydata.org/tutorial/categorical.html)

### Regression Models

Please refer to [Visualizing regression models](https://seaborn.pydata.org/tutorial/regression.html)