diff --git a/datasist/visualizations.py b/datasist/visualizations.py
index bd5d0255..78aa8aa9 100644
--- a/datasist/visualizations.py
+++ b/datasist/visualizations.py
@@ -556,7 +556,7 @@ def plot_confusion_matrix(y_true, y_pred, classes,
 
 def plot_auc(labels, predictions):
     '''
-    Compute the false positive rate, true positive rate and threshold along with the AUC
+    Computes and plot the false positive rate, true positive rate and threshold along with the AUC
     Parameters:
     --------------------
 
@@ -592,6 +592,7 @@ def plot_auc(labels, predictions):
 
 def plot_scatter_shape(data = None, cols = None, shape_col = '', col_y = '', alpha = 0.2):
     '''
+    Makes a scatter plot of data using shape_col as seperation.
     Parameter:
 
         data: Dataframe 
@@ -633,6 +634,7 @@ def plot_scatter_shape(data = None, cols = None, shape_col = '', col_y = '', alp
 
 def autoviz(data):
     '''
+    Automatically visualize a data set. If dataset is large, autoViz uses a statistically valid sample for plotting.
     Parameter:
     --------------------
         data: Dataframe 
diff --git a/docs/visualizations.html b/docs/visualizations.html
index d0d922b0..035fe3a2 100644
--- a/docs/visualizations.html
+++ b/docs/visualizations.html
@@ -619,6 +619,7 @@ <h1 class="title">Module <code>datasist.visualizations</code></h1>
 
 def plot_scatter_shape(data = None, cols = None, shape_col = &#39;&#39;, col_y = &#39;&#39;, alpha = 0.2):
     &#39;&#39;&#39;
+    Makes a scatter plot of data using shape_col as seperation.
     Parameter:
 
         data: Dataframe 
@@ -660,6 +661,7 @@ <h1 class="title">Module <code>datasist.visualizations</code></h1>
 
 def autoviz(data):
     &#39;&#39;&#39;
+    Automatically visualize a data set. If dataset is large, autoViz uses a statistically valid sample for plotting.
     Parameter:
     --------------------
         data: Dataframe 
@@ -697,6 +699,9 @@ <h2 class="section-title" id="header-functions">Functions</h2>
 <span>def <span class="ident">autoviz</span></span>(<span>data)</span>
 </code></dt>
 <dd>
+<section class="desc">
+            <p>    Automatically visualize a data set. If dataset is large, autoViz uses a statistically valid sample for plotting.
+                </p>
 <section class="desc"><h2 id="parameter">Parameter:</h2>
 <pre><code>data: Dataframe 
     The data to plot