diff --git a/notebooks/examples/logistic_regression.ipynb b/notebooks/examples/logistic_regression.ipynb
index 64cd5fb7fe76f3dddf8ae40ec1d3faa20e7b1982..c99a3202fd2b48f50b0778b2137a89a8faf8de21 100644
--- a/notebooks/examples/logistic_regression.ipynb
+++ b/notebooks/examples/logistic_regression.ipynb
@@ -208,6 +208,17 @@
     "plt.show()"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "33791bdc",
+   "metadata": {},
+   "source": [
+    "Additional information for the pairplot graph to understand what is displayed on the diagonal:\n",
+    "\n",
+    "\"By default, this function will create a grid of Axes such that each numeric variable in data will by shared across the y-axes across a single row and the x-axes across a single column. The diagonal plots are treated differently: a univariate distribution plot is drawn to show the marginal distribution of the data in each column.\"\n",
+    "https://seaborn.pydata.org/generated/seaborn.pairplot.html"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 5,