diff --git a/Cluster_Analysis.ipynb b/Cluster_Analysis.ipynb
index e429ba81edd98d9192048ddb07820be95818c8a9..c10821f6b26d5b291101d822ffa86468894fa061 100644
--- a/Cluster_Analysis.ipynb
+++ b/Cluster_Analysis.ipynb
@@ -42,7 +42,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "There are 5 decisions to make in the set up of the data.\n",
+    "There are 6 decisions to make in the set up of the data.\n",
     "\n",
     "Date Range: Choose a start date and an end date of data that you want to see cluster analysis of. \n",
     "            The format is yyyy-mm-dd\n",
@@ -62,7 +62,10 @@
     "    This would be useful if your bracketing ranges differ greatly from each other.\n",
     "3. 'log' - all data in the date range and bracketing ranges chosen will be scaled to have log values.\n",
     "    This would be useful if your bracketing ranges create data that is very large and would be easier to\n",
-    "    visualize with log values."
+    "    visualize with log values.\n",
+    "    \n",
+    "    \n",
+    "2D Histogram X and Y Axes: This will set a min and max for the x and y axes in the 2D histograms of each of the four clusters. All the x and y axes are the same across the 2d histograms. This allows the user to \"zoom\" in or out of the data."
    ]
   },
   {
@@ -95,7 +98,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# sets min and max parameters for ReqMemCPU\n",
+    "# sets min and max parameters for ReqMemCPU - user requested\n",
     "LowerlimitGB = 0\n",
     "UpperlimitGB = 150"
    ]
@@ -106,7 +109,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# sets min and max parameters for AllocCPUS\n",
+    "# sets min and max parameters for AllocCPUS - allocated by slurm\n",
     "LowerlimitAllocCPU = 0\n",
     "UpperlimitAllocCPU = 260"
    ]
@@ -139,6 +142,26 @@
     "Data_Normalization_Choice = 'none'"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# 2D Histogram X and Y Axes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "xaxis_min = 0\n",
+    "xaxis_max = 140\n",
+    "\n",
+    "yaxis_min = 0\n",
+    "yaxis_max = 100"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -681,12 +704,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "xaxis_min = 0\n",
-    "xaxis_max = 140\n",
-    "\n",
-    "yaxis_min = 0\n",
-    "yaxis_max = 100\n",
-    "\n",
     "fig = plt.figure()\n",
     "fig.set_size_inches(20,10)\n",
     "#fig.tight_layout()\n",
@@ -832,7 +849,7 @@
     "\n",
     "\n",
     "\n",
-    "# sets the spacing\n",
+    "# sets the spacing between plots\n",
     "# top = space between title and graphs - increase number to bring title down and decrease to bring title up\n",
     "# left = space to the left\n",
     "# wspace = padding on both sides of graphs\n",
@@ -844,15 +861,8 @@
     "figure.suptitle('Clusters', fontsize=20)\n",
     "\n",
     "\n",
-    "plt.show()"
+    "plt.show()\n"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {