diff --git a/README.md b/README.md
index aea9675..a26075d 100644
--- a/README.md
+++ b/README.md
@@ -5,7 +5,7 @@
 grplot: lazy statistical data visualization
 =======================================
 
-[![PyPI Version](https://img.shields.io/pypi/v/grplot.svg)](https://pypi.org/project/grplot/) [![License](https://img.shields.io/pypi/l/grplot.svg)](https://github.com/ghiffaryr/grplot/blob/master/LICENSE.md)  [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.17159965.svg)](https://doi.org/10.5281/zenodo.17159965) [![Anaconda-Server Badge](https://anaconda.org/conda-forge/grplot/badges/latest_release_date.svg)](https://anaconda.org/conda-forge/grplot) [![PyPI Downloads](https://static.pepy.tech/personalized-badge/grplot?period=total&units=INTERNATIONAL_SYSTEM&left_color=BLACK&right_color=GREEN&left_text=downloads)](https://pepy.tech/projects/grplot) ![Coverage Badge](https://gist.githubusercontent.com/ghiffaryr/8fce7554f72160b59527bd0deecf7666/raw/coverage-badge.svg?sanitize=true)
+[![PyPI Version](https://img.shields.io/pypi/v/grplot.svg)](https://pypi.org/project/grplot/) [![License](https://img.shields.io/pypi/l/grplot.svg)](https://github.com/ghiffaryr/grplot/blob/master/LICENSE)  [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.17159965.svg)](https://doi.org/10.5281/zenodo.17159965) [![Anaconda-Server Badge](https://anaconda.org/conda-forge/grplot/badges/latest_release_date.svg)](https://anaconda.org/conda-forge/grplot) [![PyPI Downloads](https://static.pepy.tech/personalized-badge/grplot?period=total&units=INTERNATIONAL_SYSTEM&left_color=BLACK&right_color=GREEN&left_text=downloads)](https://pepy.tech/projects/grplot) ![Coverage Badge](https://gist.githubusercontent.com/ghiffaryr/8fce7554f72160b59527bd0deecf7666/raw/coverage-badge.svg?sanitize=true)
 
 
 grplot is a Python visualization library based on numpy, scipy, matplotlib, seaborn, squarify, pandas, and ipython. It supports human laziness in drawing complete and attractive statistical graphs in just one function.
diff --git a/docs/plots/boxenplot.rst b/docs/plots/boxenplot.rst
index a425eb9..3af8471 100644
--- a/docs/plots/boxenplot.rst
+++ b/docs/plots/boxenplot.rst
@@ -51,7 +51,7 @@ Draw an enhanced box plot for larger datasets.
    Method to use for the width of the letter value boxes: - "exponential": Represent the corresponding percentile - "linear": Decrease by a constant amount for each box - "area": Represent the density of data points in that box
 
 ``k_depth`` *(str or int, default: 'tukey')*
-   The number of levels to compute and draw in each tail: - "tukey": Use log2(n) - 3 levels, covering similar range as boxplot whiskers - "proportion": Leave approximately outlier_prop fliers - "trusthworthy": Extend to level with confidence of at least trust_alpha - "full": Use log2(n) + 1 levels and extend to most extreme points
+   The number of levels to compute and draw in each tail: - "tukey": Use log2(n) - 3 levels, covering similar range as boxplot whiskers - "proportion": Leave approximately outlier_prop fliers - "trustworthy": Extend to level with confidence of at least trust_alpha - "full": Use log2(n) + 1 levels and extend to most extreme points
 
 ``outlier_prop`` *(float, default: 0.007)*
    Proportion of data expected to be outliers; used when k_depth="proportion".