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diff --git a/‎nbs/tutorials/test_02_two_group.ipynb‎ ‎nbs/tutorials/02-two_group.ipynb‎nbs/tutorials/test_02_two_group.ipynb renamed to nbs/tutorials/02-two_group.ipynb
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diff --git a/‎…ared_control_and_repeated_measures.ipynb‎ ‎…ared_control_and_repeated_measures.ipynb‎nbs/tutorials/test-03-shared_control_and_repeated_measures.ipynb renamed to nbs/tutorials/03-shared_control_and_repeated_measures.ipynb
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diff --git a/‎nbs/tutorials/test-06-delta_delta.ipynb‎ ‎nbs/tutorials/06-delta_delta.ipynb‎nbs/tutorials/test-06-delta_delta.ipynb renamed to nbs/tutorials/06-delta_delta.ipynb
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@@ -11,6 +11,15 @@
     "- order: 4"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div style=\"padding: 15px; border: 1px solid transparent; border-color: transparent; margin-bottom: 20px; border-radius: 4px; color: #31708f; background-color: #d9edf7; border-color: #bce8f1;\"> As of v2023.02.14, DABEST can be used to generate Cohen's *h* and the corresponding proportion plot for binary data. It's important to note that the code we provide only supports numerical proportion data, \n",
+    "where the values are limited to 0 (failure) and 1 (success). This means that the code is not suitable for \n",
+    "analyzing proportion data that contains non-numeric values, such as strings like 'yes' and 'no'. </div>\n"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -1904,7 +1913,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "For further aesthetic changes, see the plot_aesthetics tutorial page.\n"
+    "For further aesthetic changes, the '[Plot Aesthetics Tutorial](09-plot_aesthetics.html)' provides detailed examples of how to customize the plot.\n"
    ]
   }
  ],
Original file line number	Diff line number	Diff line change
`@@ -11,6 +11,15 @@`
`11`	`11`	`"- order: 4"`
`12`	`12`	`]`
`13`	`13`	`},`
	`14`	`+ {`
	`15`	`+ "cell_type": "markdown",`
	`16`	`+ "metadata": {},`
	`17`	`+ "source": [`
	`18`	`+ "<div style=\"padding: 15px; border: 1px solid transparent; border-color: transparent; margin-bottom: 20px; border-radius: 4px; color: #31708f; background-color: #d9edf7; border-color: #bce8f1;\"> As of v2023.02.14, DABEST can be used to generate Cohen's h and the corresponding proportion plot for binary data. It's important to note that the code we provide only supports numerical proportion data, \n",`
	`19`	`+ "where the values are limited to 0 (failure) and 1 (success). This means that the code is not suitable for \n",`
	`20`	`+ "analyzing proportion data that contains non-numeric values, such as strings like 'yes' and 'no'. </div>\n"`
	`21`	`+ ]`
	`22`	`+ },`
`14`	`23`	`{`
`15`	`24`	`"cell_type": "markdown",`
`16`	`25`	`"metadata": {},`
`@@ -1904,7 +1913,7 @@`
`1904`	`1913`	`"cell_type": "markdown",`
`1905`	`1914`	`"metadata": {},`
`1906`	`1915`	`"source": [`
`1907`		`- "For further aesthetic changes, see the plot_aesthetics tutorial page.\n"`
	`1916`	`+ "For further aesthetic changes, the '[Plot Aesthetics Tutorial](09-plot_aesthetics.html)' provides detailed examples of how to customize the plot.\n"`
`1908`	`1917`	`]`
`1909`	`1918`	`}`
`1910`	`1919`	`],`