Sikura
diff --git a/‎Request/.ipynb_checkpoints/heat_maps-checkpoint.ipynb‎
Lines changed: 15 additions & 8 deletions b/‎Request/.ipynb_checkpoints/heat_maps-checkpoint.ipynb‎
Lines changed: 15 additions & 8 deletions
diff --git a/‎Request/heat_maps.ipynb‎
Lines changed: 15 additions & 8 deletions b/‎Request/heat_maps.ipynb‎
Lines changed: 15 additions & 8 deletions
@@ -418,6 +418,13 @@
     "helix.ix[:,['Energy', 'helix3 phase','helix 2 phase', 'helix1 phase']].head()"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<h3 align='Left'> Scatter Matrix (Not too useful in this case)</h3>"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 12,
@@ -437,11 +444,18 @@
     }
    ],
    "source": [
-    "# correlations. you can also have hist on the diagonal\n",
+    "# you can also have hist on the diagonal\n",
     "from pandas.tools.plotting import scatter_matrix\n",
     "scatter_matrix(couple_columns,alpha=0.03, figsize=(10, 10), diagonal='kde');"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Only interesting part is that the Energy is mostly in the negative 400 to 350 range, but that should have been obvious looking at the data. A heat map may be more useful to see how the columns are related to eachother. "
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -458,13 +472,6 @@
    "outputs": [],
    "source": []
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Was this Cell below what you wanted? "
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": 18,
 
@@ -418,6 +418,13 @@
     "helix.ix[:,['Energy', 'helix3 phase','helix 2 phase', 'helix1 phase']].head()"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<h3 align='Left'> Scatter Matrix (Not too useful in this case)</h3>"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 12,
@@ -437,11 +444,18 @@
     }
    ],
    "source": [
-    "# correlations. you can also have hist on the diagonal\n",
+    "# you can also have hist on the diagonal\n",
     "from pandas.tools.plotting import scatter_matrix\n",
     "scatter_matrix(couple_columns,alpha=0.03, figsize=(10, 10), diagonal='kde');"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Only interesting part is that the Energy is mostly in the negative 400 to 350 range, but that should have been obvious looking at the data. A heat map may be more useful to see how the columns are related to eachother. "
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -458,13 +472,6 @@
    "outputs": [],
    "source": []
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Was this Cell below what you wanted? "
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": 18,