🎨 link API Reference of new create functions

Author: enryH

docs/api_examples/box_violin_plot.ipynb

@@ -221,7 +221,9 @@
    "metadata": {},
    "source": [
     "## 2. Basic Violin Plot\n",
-    "A basic violin plot can be created by simply providing the `x` and `y` columns from the DataFrame, along with style options like `title`."
+    "A basic violin plot can be created by simply providing the `x` and `y` columns from the DataFrame,\n",
+    "along with style options like `title`\n",
+    "using [`create_violin_plot`](vuecore.plots.basic.violin.create_violin_plot) ."
    ]
   },
   {

docs/api_examples/box_violin_plot.py

@@ -149,7 +149,9 @@
 
 # %% [markdown]
 # ## 2. Basic Violin Plot
-# A basic violin plot can be created by simply providing the `x` and `y` columns from the DataFrame, along with style options like `title`.
+# A basic violin plot can be created by simply providing the `x` and `y` columns from the DataFrame,
+# along with style options like `title`
+# using [`create_violin_plot`](vuecore.plots.basic.violin.create_violin_plot) .
 
 # %%
 # Define output file path for the PNG basic violin plot

docs/api_examples/histogram_plot.ipynb

@@ -134,7 +134,8 @@
    "metadata": {},
    "source": [
     "### 0.3. Create sample data\n",
-    "We create a synthetic dataset simulating gene expression data across two experimental conditions to demonstrate how histograms can visualize data distribution."
+    "We create a synthetic dataset simulating gene expression data across two experimental\n",
+    "conditions to demonstrate how histograms can visualize data distribution."
    ]
   },
   {
@@ -260,7 +261,9 @@
    "metadata": {},
    "source": [
     "## 1. Basic Histogram Plot\n",
-    "A basic histogram plot can be created by simply providing the `x` and `y` columns from the DataFrame, along with style options like `title`."
+    "A basic histogram plot can be created by simply providing the `x` and `y` columns from the DataFrame,\n",
+    "along with style options like `title`\n",
+    "using [`create_histogram_plot`](vuecore.plots.basic.histogram.create_histogram_plot) ."
    ]
   },
   {

docs/api_examples/histogram_plot.py

@@ -82,7 +82,8 @@
 
 # %% [markdown]
 # ### 0.3. Create sample data
-# We create a synthetic dataset simulating gene expression data across two experimental conditions to demonstrate how histograms can visualize data distribution.
+# We create a synthetic dataset simulating gene expression data across two experimental
+# conditions to demonstrate how histograms can visualize data distribution.
 
 # %% tags=["hide-input"]
 # Set a random seed for reproducibility of the synthetic data
@@ -117,7 +118,9 @@
 
 # %% [markdown]
 # ## 1. Basic Histogram Plot
-# A basic histogram plot can be created by simply providing the `x` and `y` columns from the DataFrame, along with style options like `title`.
+# A basic histogram plot can be created by simply providing the `x` and `y` columns from the DataFrame,
+# along with style options like `title`
+# using [`create_histogram_plot`](vuecore.plots.basic.histogram.create_histogram_plot) .
 
 # %%
 # Define output file path for the PNG basic histogram