diff --git a/codigo/Proyecto_clase08_LH.ipynb b/codigo/Proyecto_clase08_LH.ipynb
index 16ab872ca936fe275caba73df04e1ef4f6068062..f6c7501c89d8d1269cf0ab7eefe7adc28a8dfd3f 100644
--- a/codigo/Proyecto_clase08_LH.ipynb
+++ b/codigo/Proyecto_clase08_LH.ipynb
@@ -844,29 +844,31 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 143,
+   "execution_count": 167,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "['2', '0', '1', '1', '2', '1', '1', '2', '1', '2', '0', '0', '2', '0', '1', '0', '0', '1', '1'] -- ['1', '1', '3', '1', '2', '2', '0', '2', '1', '3', '3', '1', '3', '1', '1', '2', '3', '2', '1']\n"
+      "['0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '4', '4', '4', '4', '4', '4', '4', '4', '4', '4', '4', '4', '4', '4', '4', '4', '4', '4', '4', '5', '5', '5', '5', '6', '6', '6'] -- ['0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '3', '4', '4', '4', '4', '4', '4', '4', '4', '4', '4', '5', '5', '5', '6']\n"
      ]
     }
    ],
    "source": [
-    "print(home,(\"--\"), away)"
+    "homesort = sorted(home)\n",
+    "awaysort = sorted(away)\n",
+    "print(homesort,(\"--\"), awaysort)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 145,
+   "execution_count": 168,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -878,7 +880,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -904,7 +906,7 @@
     "#titulo de los ejes\n",
     "plt.xlabel('Goles Home', fontweight = 'bold') \n",
     "plt.ylabel('frecuencia',fontweight = 'bold')\n",
-    "plt.hist(home, bins=10)\n",
+    "plt.hist(homesort, bins=10)\n",
     "plt.show()\n",
     "plt.clf()\n",
     "\n",
@@ -915,7 +917,7 @@
     "#titulo de los ejes\n",
     "plt.xlabel('Goles Away', fontweight = 'bold') \n",
     "plt.ylabel('frecuencia',fontweight = 'bold')\n",
-    "plt.hist(away, bins=10)\n",
+    "plt.hist(awaysort, bins=10)\n",
     "plt.show()\n",
     "plt.clf()"
    ]
@@ -1804,29 +1806,31 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 150,
+   "execution_count": 169,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
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      ]
     }
    ],
    "source": [
-    "print(home,(\"--\"), away)"
+    "homesort = sorted(home)\n",
+    "awaysort = sorted(away)\n",
+    "print(homesort,(\"--\"), awaysort)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 151,
+   "execution_count": 170,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -1838,7 +1842,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -1865,7 +1869,7 @@
     "#titulo de los ejes\n",
     "plt.xlabel('Goles Home', fontweight = 'bold') \n",
     "plt.ylabel('frecuencia',fontweight = 'bold')\n",
-    "plt.hist(home, bins=10)\n",
+    "plt.hist(homesort, bins=10)\n",
     "plt.show()\n",
     "plt.clf()\n",
     "\n",
@@ -1876,14 +1880,14 @@
     "#titulo de los ejes\n",
     "plt.xlabel('Goles Away', fontweight = 'bold') \n",
     "plt.ylabel('frecuencia',fontweight = 'bold')\n",
-    "plt.hist(away, bins=10)\n",
+    "plt.hist(awaysort, bins=10)\n",
     "plt.show()\n",
     "plt.clf()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 152,
+   "execution_count": 174,
    "metadata": {},
    "outputs": [
     {
@@ -1903,6 +1907,153 @@
     "\n",
     "print(enthome, '////////*******////////' , entaway)"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 175,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[3, 1, 4, 2, 4, 3, 1, 4, 2, 5, 3, 1, 5, 1, 2, 2, 3, 3, 2, 7, 4, 4, 5, 4, 6, 6, 0, 2, 2, 3, 3, 3, 3, 2, 0, 1, 2, 2, 2, 2, 3, 1, 2, 1, 2, 4, 4, 2, 4, 3, 2, 4, 6, 1, 6, 3, 2, 0, 3, 5, 0, 6, 4, 3, 2, 3, 2, 2, 3, 3, 1, 4, 1, 2, 0, 0, 2, 3, 3, 1, 5, 5, 1, 2, 2, 3, 3, 3, 1, 0, 3, 3, 6, 1, 1, 1, 0, 3, 4, 1, 3, 2, 3, 4, 2, 1, 0, 0, 1, 2, 1, 4, 1, 6, 4, 2, 5, 3, 0, 1, 3, 3, 4, 5, 0, 2, 3, 4, 4, 4, 3, 4, 2, 2, 0, 0, 5, 4, 5, 2, 1, 4, 2, 4, 3, 2, 3, 3, 1, 2, 9, 6, 3, 2, 4, 4, 3, 1, 0, 5, 2, 7, 1, 3, 3, 3, 4, 2, 0, 2, 1, 3, 1, 0, 3, 0, 3, 3, 2, 1, 4, 1, 0, 5, 3, 5, 5, 4, 3, 4, 4, 3, 0, 0, 1, 3, 2, 4, 3, 6, 0, 2, 5, 0, 6, 3, 1, 2, 4, 4, 3, 3, 3, 3, 4, 5, 1, 4, 4, 3, 1, 2, 0, 5, 2, 3, 1, 3, 3, 4, 1, 2, 1, 2, 4, 2, 2, 4, 4, 1, 1, 3, 2, 1, 3, 6, 5, 4, 2, 2, 3, 2, 3, 2, 4, 1, 4, 1, 1, 0, 2, 2, 0, 1, 1, 1, 1, 2, 1, 4, 2, 5, 4, 3, 3, 3, 2, 2, 1, 5, 0, 4, 1, 4, 1, 0, 2, 3, 6, 4, 2, 7, 1, 3, 1, 3, 4, 0, 3, 3, 2, 4, 4, 3, 6, 4, 5, 5, 3, 2, 1, 4, 2, 4, 8, 6, 4, 1, 1, 2, 2, 3, 4, 1, 1, 3, 7, 0, 4, 2, 4, 1, 6, 3, 2, 3, 1, 6, 1, 3, 5, 0, 1, 1, 3, 3, 3, 3, 4, 2, 4, 1, 3, 1, 2, 1, 1, 3, 4, 8, 2, 5, 4, 4, 4, 1, 2, 2, 5, 3, 2, 4, 1, 5, 0, 3, 1, 4, 2, 2]\n"
+     ]
+    }
+   ],
+   "source": [
+    "suma = []\n",
+    "\n",
+    "for i in range(len(enthome)):\n",
+    "    suma.append(enthome[i] + entaway[i])\n",
+    "print(suma)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 176,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[1, -1, -2, 0, 0, -1, 1, 0, 0, -1, -3, -1, -1, -1, 0, -2, -3, -1, 0, -3, 0, 0, 1, 4, 0, 0, 0, 2, -2, -3, -3, 1, -1, -2, 0, -1, 0, -2, 0, 0, -1, 1, -2, 1, 0, -4, 0, 0, 0, -1, 0, -2, -4, -1, 4, -3, -2, 0, 1, 3, 0, 2, 0, 3, 2, -3, -2, 0, -1, -3, -1, -4, -1, 0, 0, 0, 0, 3, 3, -1, -1, 1, -1, 2, 0, -3, 1, -1, 1, 0, 1, 1, 0, -1, -1, 1, 0, -1, 2, -1, 1, 0, -1, -2, 0, -1, 0, 0, 1, 2, -1, 0, 1, -2, 0, -2, 3, -1, 0, 1, -3, 1, 0, -1, 0, 2, -3, -2, -2, 0, 1, 0, 0, 2, 0, 0, -3, 2, 1, 2, -1, -2, 0, 2, 3, 0, -1, -1, -1, 2, -1, -6, 3, 2, 0, 4, 3, -1, 0, 3, 0, -1, -1, -1, 1, 1, -2, 2, 0, 0, -1, 1, -1, 0, 3, 0, -1, 1, 0, 1, 2, 1, 0, -1, -3, -3, 1, 0, -1, -4, 2, 1, 0, 0, 1, -3, 0, 4, -3, 0, 0, 0, -1, 0, 0, 3, -1, 0, -2, 4, -1, 1, 1, 1, 2, -3, 1, 0, 0, -1, 1, 0, 0, 1, 0, 3, 1, -1, 1, 4, 1, 2, 1, 2, 2, 2, -2, 0, 0, 1, -1, -1, 0, -1, -1, 2, -1, 0, 2, 0, 1, 2, 3, 0, 0, -1, 0, -1, 1, 0, 2, 0, 0, 1, -1, -1, 1, 0, 1, 4, 2, 3, 0, -1, -1, -1, 0, 0, -1, 1, 0, 0, 1, -2, 1, 0, 2, 3, 4, 2, 2, -1, 1, 1, -1, 1, 0, 0, -1, -1, 0, -2, 2, -1, 2, 2, 3, 3, 3, 0, 1, 0, 0, 2, 4, -2, 0, 1, -1, 2, 0, -3, 0, 1, 1, -1, 5, 0, 2, 2, 0, 1, 4, 3, 2, 1, 1, 4, -1, 3, 1, 0, 1, 1, 3, 1, -1, 3, 0, 0, 2, 1, 3, 1, 2, -1, 1, 3, -2, 4, 2, 1, 4, 2, 4, 1, 0, 2, 1, 1, 2, 4, 1, 1, 0, 1, -1, 2, 0, 2]\n"
+     ]
+    }
+   ],
+   "source": [
+    "resta = []\n",
+    "\n",
+    "for i in range(len(enthome)):\n",
+    "    resta.append(enthome[i] - entaway[i])\n",
+    "print(resta)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 177,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 7, 7, 7, 7, 8, 8, 9]\n"
+     ]
+    }
+   ],
+   "source": [
+    "sumasort = sorted(suma)\n",
+    "restasort = sorted(resta)\n",
+    "print(sumasort)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 178,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[-6, -4, -4, -4, -4, -3, -3, -3, -3, -3, -3, -3, -3, -3, -3, -3, -3, -3, -3, -3, -3, -3, -3, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5]\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(restasort)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 179,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 432x288 with 0 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#HISTOGRAMA DE FRECUENCIA DE SUMA Y RESTA DE GOLES DE LOS LOCALES Y VISITANTES EN EL 2015-2016 DE LA LIGA INGLESA\n",
+    "plt.subplot(121)\n",
+    "plt.title('Frecuencia de suma de goles Premier League 2015-2016', fontsize = 12, fontweight = 'bold') \n",
+    "#titulo de los ejes\n",
+    "plt.xlabel('Goles Home', fontweight = 'bold') \n",
+    "plt.ylabel('frecuencia',fontweight = 'bold')\n",
+    "plt.hist(sumasort, bins=10)\n",
+    "plt.show()\n",
+    "plt.clf()\n",
+    "\n",
+    "\n",
+    "\n",
+    "plt.subplot(122)\n",
+    "plt.title('Frecuencia de resta de goles Premier League 2015-2016', fontsize = 12, fontweight = 'bold') \n",
+    "#titulo de los ejes\n",
+    "plt.xlabel('Goles Away', fontweight = 'bold') \n",
+    "plt.ylabel('frecuencia',fontweight = 'bold')\n",
+    "plt.hist(restasort, bins=10)\n",
+    "plt.show()\n",
+    "plt.clf()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {