diff --git a/.ipynb_checkpoints/Matplotlib-checkpoint.ipynb b/.ipynb_checkpoints/Matplotlib-checkpoint.ipynb
index 2bb0095..7b1e234 100644
--- a/.ipynb_checkpoints/Matplotlib-checkpoint.ipynb
+++ b/.ipynb_checkpoints/Matplotlib-checkpoint.ipynb
@@ -22,7 +22,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 74,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -35,7 +35,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 75,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1622,7 +1622,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 308,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -1638,10 +1638,10 @@
    ],
    "source": [
     "plt.figure(figsize=(9,9))\n",
-    "area = [48 , 30 , 20 , 15]\n",
+    "tickets = [48 , 30 , 20 , 15]\n",
     "labels = ['Low' , 'Medium' , 'High' , 'Critical']\n",
     "colors = ['#8BC34A','#D4E157','#FFB300','#FF7043']\n",
-    "plt.pie (area , labels= labels , colors= colors , startangle=45)\n",
+    "plt.pie (tickets , labels= labels , colors= colors , startangle=45)\n",
     "plt.show()"
    ]
   },
@@ -1654,7 +1654,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 309,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -1671,16 +1671,16 @@
    "source": [
     "# Display percentage in Pie Chart using autopct='%1.1f%%' \n",
     "plt.figure(figsize=(8,8))\n",
-    "area = [48 , 30 , 20 , 15]\n",
+    "tickets = [48 , 30 , 20 , 15]\n",
     "labels = ['Low' , 'Medium' , 'High' , 'Critical']\n",
     "colors = ['#7CB342','#C0CA33','#FFB300','#F57C00']\n",
-    "plt.pie (area , labels= labels , colors= colors , startangle=45 , shadow='true', autopct='%1.1f%%', explode=[0,0 , 0 , 0])\n",
+    "plt.pie (tickets , labels= labels , colors= colors , startangle=45 , shadow='true', autopct='%1.1f%%', explode=[0,0 , 0 , 0])\n",
     "plt.show()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 310,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -1696,15 +1696,15 @@
    ],
    "source": [
     "plt.figure(figsize=(8,8))\n",
-    "area = [48 , 30 , 20 , 15]\n",
-    "total = np.sum(area)\n",
+    "tickets = [48 , 30 , 20 , 15]\n",
+    "total = np.sum(tickets)\n",
     "labels = ['Low' , 'Medium' , 'High' , 'Critical']\n",
     "\n",
     "def val_per(x): \n",
     "    return '{:.2f}%\\n({:.0f})'.format(x, total*x/100)\n",
     "\n",
     "colors = ['#7CB342','#C0CA33','#FFB300','#F57C00']\n",
-    "plt.pie (area , labels= labels , colors= colors , startangle=45 , shadow='true', autopct=val_per, explode=[0,0 , 0 , 0])\n",
+    "plt.pie (tickets , labels= labels , colors= colors , startangle=45 , shadow='true', autopct=val_per, explode=[0,0 , 0 , 0])\n",
     "plt.show()"
    ]
   },
@@ -1717,7 +1717,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 311,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
@@ -1734,17 +1734,17 @@
    "source": [
     "#Explode 4th Slice\n",
     "plt.figure(figsize=(8,8))\n",
-    "area = [48 , 30 , 20 , 15]\n",
+    "tickets = [48 , 30 , 20 , 15]\n",
     "labels = ['Low' , 'Medium' , 'High' , 'Critical']\n",
     "colors = ['#7CB342','#C0CA33','#FFB300','#F57C00']\n",
     "# explode = [0,0,0,0.1] will explode the fourth slice\n",
-    "plt.pie (area , labels= labels , colors= colors , startangle=45 , autopct='%1.1f%%' , shadow='true', explode=[0,0 , 0 , 0.1])\n",
+    "plt.pie (tickets , labels= labels , colors= colors , startangle=45 , autopct='%1.1f%%' , shadow='true', explode=[0,0 , 0 , 0.1])\n",
     "plt.show()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 312,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -1761,15 +1761,114 @@
    "source": [
     "#Explode 3rd & 4th Slice\n",
     "plt.figure(figsize=(8,8))\n",
-    "area = [48 , 30 , 20 , 15]\n",
+    "tickets = [48 , 30 , 20 , 15]\n",
     "label = ['Low' , 'Medium' , 'High' , 'Critical']\n",
     "color = ['#7CB342','#C0CA33','#FFB300','#F57C00']\n",
     "# explode = [0,0,0.1,0.1] will explode the 3rd & 4th slice\n",
-    "plt.pie (area , labels= label , colors= color , startangle=45 ,autopct='%1.1f%%', shadow='true', explode=[0,0 , 0.1 , 0.1])\n",
+    "plt.pie (tickets , labels= label , colors= color , startangle=45 ,autopct='%1.1f%%', shadow='true', explode=[0,0 , 0.1 , 0.1])\n",
     "plt.legend()\n",
     "plt.show()"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Display multiple pie plots in one figure"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x432 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig = plt.figure(figsize=(20,6))\n",
+    "tickets = [48 , 30 , 20 , 15]\n",
+    "priority = ['Low' , 'Medium' , 'High' , 'Critical']\n",
+    "status = ['Resolved' , 'Cancelled' , 'Pending' , 'Assigned']\n",
+    "company = ['IBM' , 'Microsoft', 'BMC' , 'Apple']\n",
+    "colors = ['#8BC34A','#D4E157','#FFB300','#FF7043']\n",
+    "\n",
+    "plt.subplot(1,3,1)\n",
+    "plt.pie (tickets , labels= priority , colors= colors , startangle=45)\n",
+    "\n",
+    "\n",
+    "plt.subplot(1,3,2)\n",
+    "plt.pie (tickets , labels= status , colors= colors , startangle=45)\n",
+    "\n",
+    "\n",
+    "plt.subplot(1,3,3)\n",
+    "plt.pie (tickets , labels= company , colors= colors , startangle=45)\n",
+    "\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x936 with 6 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig = plt.figure(figsize=(20,13))\n",
+    "tickets = [48 , 30 , 20 , 15]\n",
+    "priority = ['Low' , 'Medium' , 'High' , 'Critical']\n",
+    "status = ['Resolved' , 'Cancelled' , 'Pending' , 'Assigned']\n",
+    "company = ['IBM' , 'Microsoft', 'BMC' , 'Apple']\n",
+    "colors = ['#8BC34A','#D4E157','#FFB300','#FF7043']\n",
+    "\n",
+    "\n",
+    "plt.subplot(2,3,1)\n",
+    "plt.pie (tickets , labels= priority , colors= colors , startangle=45 , autopct='%1.1f%%')\n",
+    "\n",
+    "\n",
+    "plt.subplot(2,3,2)\n",
+    "plt.pie (tickets , labels= status , colors= colors , startangle=45 , autopct='%1.1f%%')\n",
+    "\n",
+    "\n",
+    "plt.subplot(2,3,3)\n",
+    "plt.pie (tickets , labels= company , colors= colors , startangle=45 , autopct='%1.1f%%')\n",
+    "\n",
+    "\n",
+    "\n",
+    "plt.subplot(2,3,4)\n",
+    "plt.pie (tickets , labels= priority , colors= colors , startangle=45, autopct='%1.1f%%')\n",
+    "\n",
+    "\n",
+    "plt.subplot(2,3,5)\n",
+    "plt.pie (tickets , labels= status , colors= colors , startangle=45 ,autopct='%1.1f%%')\n",
+    "\n",
+    "\n",
+    "plt.subplot(2,3,6)\n",
+    "plt.pie (tickets , labels= company , colors= colors , startangle=45, autopct='%1.1f%%')\n",
+    "\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -1779,7 +1878,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 313,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
@@ -1795,10 +1894,10 @@
    ],
    "source": [
     "plt.figure(figsize=(9,9))\n",
-    "area = [48 , 30 , 20 , 15]\n",
+    "tickets = [48 , 30 , 20 , 15]\n",
     "labels = ['Low' , 'Medium' , 'High' , 'Critical']\n",
     "colors = ['#8BC34A','#D4E157','#FFB300','#FF7043']\n",
-    "plt.pie (area , labels= labels , colors= colors , startangle=45)\n",
+    "plt.pie (tickets , labels= labels , colors= colors , startangle=45)\n",
     "my_circle=plt.Circle( (0,0), 0.7, color='white') # Adding circle at the centre\n",
     "p=plt.gcf()\n",
     "p.gca().add_artist(my_circle)\n",
@@ -1807,7 +1906,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 314,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
@@ -1825,10 +1924,10 @@
     "# Changing background color\n",
     "fig = plt.figure(figsize=(9,9))\n",
     "fig.patch.set_facecolor('#DADADA') # Changing background color of donut chart\n",
-    "area = [48 , 30 , 20 , 15]\n",
+    "tickets = [48 , 30 , 20 , 15]\n",
     "labels = ['Low' , 'Medium' , 'High' , 'Critical']\n",
     "colors = ['#8BC34A','#D4E157','#FFB300','#FF7043']\n",
-    "plt.pie (area , labels= labels , colors= colors , startangle=45)\n",
+    "plt.pie (tickets , labels= labels , colors= colors , startangle=45)\n",
     "my_circle=plt.Circle( (0,0), 0.7, color='#DADADA') # Adding circle at the centre\n",
     "p=plt.gcf()\n",
     "p.gca().add_artist(my_circle)\n",
@@ -1844,7 +1943,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 315,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
@@ -1860,10 +1959,10 @@
    ],
    "source": [
     "plt.figure(figsize=(9,9))\n",
-    "area = [48 , 30 , 20 , 15]\n",
+    "tickets = [48 , 30 , 20 , 15]\n",
     "labels = ['Low' , 'Medium' , 'High' , 'Critical']\n",
     "colors = ['#8BC34A','#D4E157','#FFB300','#FF7043']\n",
-    "plt.pie (area , labels= labels , colors= colors , startangle=45 , explode=[0,0 , 0.0 , 0.1])\n",
+    "plt.pie (tickets , labels= labels , colors= colors , startangle=45 , explode=[0,0 , 0.0 , 0.1])\n",
     "my_circle=plt.Circle( (0,0), 0.7, color='white') # Adding circle at the centre\n",
     "p=plt.gcf()\n",
     "p.gca().add_artist(my_circle)\n",
@@ -1872,7 +1971,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 316,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
@@ -1888,10 +1987,10 @@
    ],
    "source": [
     "plt.figure(figsize=(9,9))\n",
-    "area = [48 , 30 , 20 , 15]\n",
+    "tickets = [48 , 30 , 20 , 15]\n",
     "labels = ['Low' , 'Medium' , 'High' , 'Critical']\n",
     "colors = ['#8BC34A','#D4E157','#FFB300','#FF7043']\n",
-    "plt.pie (area , labels= labels , colors= colors , startangle=45 , explode=[0,0 , 0.1 , 0.1])\n",
+    "plt.pie (tickets , labels= labels , colors= colors , startangle=45 , explode=[0,0 , 0.1 , 0.1])\n",
     "my_circle=plt.Circle( (0,0), 0.7, color='white') # Adding circle at the centre\n",
     "p=plt.gcf()\n",
     "p.gca().add_artist(my_circle)\n",
@@ -1900,7 +1999,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 317,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
@@ -1916,10 +2015,10 @@
    ],
    "source": [
     "plt.figure(figsize=(9,9))\n",
-    "area = [48 , 30 , 20 , 15]\n",
+    "tickets = [48 , 30 , 20 , 15]\n",
     "labels = ['Low' , 'Medium' , 'High' , 'Critical']\n",
     "colors = ['#8BC34A','#D4E157','#FFB300','#FF7043']\n",
-    "plt.pie (area , labels= labels , colors= colors , startangle=45 , explode=[0.03,0.03 , 0.03 , 0.03])\n",
+    "plt.pie (tickets , labels= labels , colors= colors , startangle=45 , explode=[0.03,0.03 , 0.03 , 0.03])\n",
     "my_circle=plt.Circle( (0,0), 0.7, color='white') # Adding circle at the centre\n",
     "p=plt.gcf()\n",
     "p.gca().add_artist(my_circle)\n",
@@ -1935,7 +2034,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 318,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {
@@ -1951,10 +2050,10 @@
    ],
    "source": [
     "plt.figure(figsize=(9,9))\n",
-    "area = [48 , 30 , 20 , 15]\n",
+    "tickets = [48 , 30 , 20 , 15]\n",
     "labels = ['Low' , 'Medium' , 'High' , 'Critical']\n",
     "colors = ['#8BC34A','#D4E157','#FFB300','#FF7043']\n",
-    "plt.pie (area , labels= labels , colors= colors , startangle=45 , autopct='%1.1f%%', explode=[0,0 , 0 , 0])\n",
+    "plt.pie (tickets , labels= labels , colors= colors , startangle=45 , autopct='%1.1f%%', explode=[0,0 , 0 , 0])\n",
     "my_circle=plt.Circle( (0,0), 0.7, color='white') # Adding circle at the centre\n",
     "p=plt.gcf()\n",
     "p.gca().add_artist(my_circle)\n",
@@ -1963,7 +2062,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 319,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [
     {
@@ -1979,10 +2078,10 @@
    ],
    "source": [
     "plt.figure(figsize=(9,9))\n",
-    "area = [48 , 30 , 20 , 15]\n",
+    "tickets = [48 , 30 , 20 , 15]\n",
     "labels = ['Low' , 'Medium' , 'High' , 'Critical']\n",
     "colors = ['#8BC34A','#D4E157','#FFB300','#FF7043']\n",
-    "plt.pie (area , labels= labels , colors= colors , startangle=45 , autopct='%1.1f%%', pctdistance=0.85 ,explode=[0,0 , 0 , 0])\n",
+    "plt.pie (tickets , labels= labels , colors= colors , startangle=45 , autopct='%1.1f%%', pctdistance=0.85 ,explode=[0,0 , 0 , 0])\n",
     "my_circle=plt.Circle( (0,0), 0.7, color='white') # Adding circle at the centre\n",
     "p=plt.gcf()\n",
     "p.gca().add_artist(my_circle)\n",
@@ -1991,7 +2090,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 320,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
     {
@@ -2007,15 +2106,15 @@
    ],
    "source": [
     "plt.figure(figsize=(9,9))\n",
-    "area = [48 , 30 , 20 , 15]\n",
-    "total = np.sum(area)\n",
+    "tickets = [48 , 30 , 20 , 15]\n",
+    "total = np.sum(tickets)\n",
     "\n",
     "def val_per(x): \n",
     "    return '{:.2f}%\\n({:.0f})'.format(x, total*x/100)\n",
     "\n",
     "labels = ['Low' , 'Medium' , 'High' , 'Critical']\n",
     "colors = ['#8BC34A','#D4E157','#FFB300','#FF7043']\n",
-    "plt.pie (area , labels= labels , colors= colors , startangle=45 , autopct=val_per, pctdistance=0.85 ,explode=[0,0 , 0 , 0])\n",
+    "plt.pie (tickets , labels= labels , colors= colors , startangle=45 , autopct=val_per, pctdistance=0.85 ,explode=[0,0 , 0 , 0])\n",
     "my_circle=plt.Circle( (0,0), 0.7, color='white') # Adding circle at the centre\n",
     "p=plt.gcf()\n",
     "p.gca().add_artist(my_circle)\n",
@@ -2031,7 +2130,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 321,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
@@ -2047,26 +2146,26 @@
    ],
    "source": [
     "fig = plt.figure(figsize=(20,6))\n",
-    "area = [48 , 30 , 20 , 15]\n",
+    "tickets = [48 , 30 , 20 , 15]\n",
     "priority = ['Low' , 'Medium' , 'High' , 'Critical']\n",
     "status = ['Resolved' , 'Cancelled' , 'Pending' , 'Assigned']\n",
     "company = ['IBM' , 'Microsoft', 'BMC' , 'Apple']\n",
     "colors = ['#8BC34A','#D4E157','#FFB300','#FF7043']\n",
     "\n",
     "plt.subplot(1,3,1)\n",
-    "plt.pie (area , labels= priority , colors= colors , startangle=45)\n",
+    "plt.pie (tickets , labels= priority , colors= colors , startangle=45)\n",
     "my_circle=plt.Circle( (0,0), 0.7, color='white') # Adding circle at the centre\n",
     "p=plt.gcf()\n",
     "p.gca().add_artist(my_circle)\n",
     "\n",
     "plt.subplot(1,3,2)\n",
-    "plt.pie (area , labels= status , colors= colors , startangle=45)\n",
+    "plt.pie (tickets , labels= status , colors= colors , startangle=45)\n",
     "my_circle=plt.Circle( (0,0), 0.7, color='white') # Adding circle at the centre\n",
     "p=plt.gcf()\n",
     "p.gca().add_artist(my_circle)\n",
     "\n",
     "plt.subplot(1,3,3)\n",
-    "plt.pie (area , labels= company , colors= colors , startangle=45)\n",
+    "plt.pie (tickets , labels= company , colors= colors , startangle=45)\n",
     "my_circle=plt.Circle( (0,0), 0.7, color='white') # Adding circle at the centre\n",
     "p=plt.gcf()\n",
     "p.gca().add_artist(my_circle)\n",
@@ -2076,7 +2175,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 322,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
@@ -2092,45 +2191,45 @@
    ],
    "source": [
     "fig = plt.figure(figsize=(20,13))\n",
-    "area = [48 , 30 , 20 , 15]\n",
+    "tickets = [48 , 30 , 20 , 15]\n",
     "priority = ['Low' , 'Medium' , 'High' , 'Critical']\n",
     "status = ['Resolved' , 'Cancelled' , 'Pending' , 'Assigned']\n",
     "company = ['IBM' , 'Microsoft', 'BMC' , 'Apple']\n",
     "colors = ['#8BC34A','#D4E157','#FFB300','#FF7043']\n",
     "\n",
     "plt.subplot(2,3,1)\n",
-    "plt.pie (area , labels= priority , colors= colors , startangle=45)\n",
+    "plt.pie (tickets , labels= priority , colors= colors , startangle=45)\n",
     "my_circle=plt.Circle( (0,0), 0.7, color='white') # Adding circle at the centre\n",
     "p=plt.gcf()\n",
     "p.gca().add_artist(my_circle)\n",
     "\n",
     "plt.subplot(2,3,2)\n",
-    "plt.pie (area , labels= status , colors= colors , startangle=45)\n",
+    "plt.pie (tickets , labels= status , colors= colors , startangle=45)\n",
     "my_circle=plt.Circle( (0,0), 0.7, color='white') # Adding circle at the centre\n",
     "p=plt.gcf()\n",
     "p.gca().add_artist(my_circle)\n",
     "\n",
     "plt.subplot(2,3,3)\n",
-    "plt.pie (area , labels= company , colors= colors , startangle=45)\n",
+    "plt.pie (tickets , labels= company , colors= colors , startangle=45)\n",
     "my_circle=plt.Circle( (0,0), 0.7, color='white') # Adding circle at the centre\n",
     "p=plt.gcf()\n",
     "p.gca().add_artist(my_circle)\n",
     "\n",
     "\n",
     "plt.subplot(2,3,4)\n",
-    "plt.pie (area , labels= priority , colors= colors , startangle=45)\n",
+    "plt.pie (tickets , labels= priority , colors= colors , startangle=45)\n",
     "my_circle=plt.Circle( (0,0), 0.7, color='white') # Adding circle at the centre\n",
     "p=plt.gcf()\n",
     "p.gca().add_artist(my_circle)\n",
     "\n",
     "plt.subplot(2,3,5)\n",
-    "plt.pie (area , labels= status , colors= colors , startangle=45)\n",
+    "plt.pie (tickets , labels= status , colors= colors , startangle=45)\n",
     "my_circle=plt.Circle( (0,0), 0.7, color='white') # Adding circle at the centre\n",
     "p=plt.gcf()\n",
     "p.gca().add_artist(my_circle)\n",
     "\n",
     "plt.subplot(2,3,6)\n",
-    "plt.pie (area , labels= company , colors= colors , startangle=45)\n",
+    "plt.pie (tickets , labels= company , colors= colors , startangle=45)\n",
     "my_circle=plt.Circle( (0,0), 0.7, color='white') # Adding circle at the centre\n",
     "p=plt.gcf()\n",
     "p.gca().add_artist(my_circle)\n",
@@ -2653,13 +2752,6 @@
    "source": [
     "# END"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {