diff --git a/.ipynb_checkpoints/Exercise-checkpoint-checkpoint.ipynb b/.ipynb_checkpoints/Exercise-checkpoint-checkpoint.ipynb
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index 0000000..02b14e5
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+++ b/.ipynb_checkpoints/Exercise-checkpoint-checkpoint.ipynb
@@ -0,0 +1,3599 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "2LTtpUJEibjg"
+   },
+   "source": [
+    "# Pandas Exercise :\n",
+    "\n",
+    "\n",
+    "#### import necessary modules"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "c3_UBbMRhiKx"
+   },
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "tp-cTCyWi8mR"
+   },
+   "source": [
+    "#### Load url = \"https://archive.ics.uci.edu/ml/machine-learning-databases/wine/wine.data\" to a dataframe named wine_df\n",
+    "\n",
+    "This is a wine dataset\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "DMojQY3thrRi"
+   },
+   "outputs": [],
+   "source": [
+    "wine_df = pd.read_csv(\"https://archive.ics.uci.edu/ml/machine-learning-databases/wine/wine.data\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "BF9MMjoZjSlg"
+   },
+   "source": [
+    "#### print first five rows"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 204
+    },
+    "colab_type": "code",
+    "id": "1vSMQdnHjYNU",
+    "outputId": "d5521c9a-0974-41fe-b0a6-12c26fc828f3"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>1</th>\n",
+       "      <th>14.23</th>\n",
+       "      <th>1.71</th>\n",
+       "      <th>2.43</th>\n",
+       "      <th>15.6</th>\n",
+       "      <th>127</th>\n",
+       "      <th>2.8</th>\n",
+       "      <th>3.06</th>\n",
+       "      <th>.28</th>\n",
+       "      <th>2.29</th>\n",
+       "      <th>5.64</th>\n",
+       "      <th>1.04</th>\n",
+       "      <th>3.92</th>\n",
+       "      <th>1065</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>13.20</td>\n",
+       "      <td>1.78</td>\n",
+       "      <td>2.14</td>\n",
+       "      <td>11.2</td>\n",
+       "      <td>100</td>\n",
+       "      <td>2.65</td>\n",
+       "      <td>2.76</td>\n",
+       "      <td>0.26</td>\n",
+       "      <td>1.28</td>\n",
+       "      <td>4.38</td>\n",
+       "      <td>1.05</td>\n",
+       "      <td>3.40</td>\n",
+       "      <td>1050</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>13.16</td>\n",
+       "      <td>2.36</td>\n",
+       "      <td>2.67</td>\n",
+       "      <td>18.6</td>\n",
+       "      <td>101</td>\n",
+       "      <td>2.80</td>\n",
+       "      <td>3.24</td>\n",
+       "      <td>0.30</td>\n",
+       "      <td>2.81</td>\n",
+       "      <td>5.68</td>\n",
+       "      <td>1.03</td>\n",
+       "      <td>3.17</td>\n",
+       "      <td>1185</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1</td>\n",
+       "      <td>14.37</td>\n",
+       "      <td>1.95</td>\n",
+       "      <td>2.50</td>\n",
+       "      <td>16.8</td>\n",
+       "      <td>113</td>\n",
+       "      <td>3.85</td>\n",
+       "      <td>3.49</td>\n",
+       "      <td>0.24</td>\n",
+       "      <td>2.18</td>\n",
+       "      <td>7.80</td>\n",
+       "      <td>0.86</td>\n",
+       "      <td>3.45</td>\n",
+       "      <td>1480</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1</td>\n",
+       "      <td>13.24</td>\n",
+       "      <td>2.59</td>\n",
+       "      <td>2.87</td>\n",
+       "      <td>21.0</td>\n",
+       "      <td>118</td>\n",
+       "      <td>2.80</td>\n",
+       "      <td>2.69</td>\n",
+       "      <td>0.39</td>\n",
+       "      <td>1.82</td>\n",
+       "      <td>4.32</td>\n",
+       "      <td>1.04</td>\n",
+       "      <td>2.93</td>\n",
+       "      <td>735</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1</td>\n",
+       "      <td>14.20</td>\n",
+       "      <td>1.76</td>\n",
+       "      <td>2.45</td>\n",
+       "      <td>15.2</td>\n",
+       "      <td>112</td>\n",
+       "      <td>3.27</td>\n",
+       "      <td>3.39</td>\n",
+       "      <td>0.34</td>\n",
+       "      <td>1.97</td>\n",
+       "      <td>6.75</td>\n",
+       "      <td>1.05</td>\n",
+       "      <td>2.85</td>\n",
+       "      <td>1450</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   1  14.23  1.71  2.43  15.6  127   2.8  3.06   .28  2.29  5.64  1.04  3.92  \\\n",
+       "0  1  13.20  1.78  2.14  11.2  100  2.65  2.76  0.26  1.28  4.38  1.05  3.40   \n",
+       "1  1  13.16  2.36  2.67  18.6  101  2.80  3.24  0.30  2.81  5.68  1.03  3.17   \n",
+       "2  1  14.37  1.95  2.50  16.8  113  3.85  3.49  0.24  2.18  7.80  0.86  3.45   \n",
+       "3  1  13.24  2.59  2.87  21.0  118  2.80  2.69  0.39  1.82  4.32  1.04  2.93   \n",
+       "4  1  14.20  1.76  2.45  15.2  112  3.27  3.39  0.34  1.97  6.75  1.05  2.85   \n",
+       "\n",
+       "   1065  \n",
+       "0  1050  \n",
+       "1  1185  \n",
+       "2  1480  \n",
+       "3   735  \n",
+       "4  1450  "
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "wine_df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "Tet6P2DvjY3T"
+   },
+   "source": [
+    "#### assign wine_df to a different variable wine_df_copy and then delete all odd rows of wine_df_copy\n",
+    "\n",
+    "[Hint](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.drop.html)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 571
+    },
+    "colab_type": "code",
+    "id": "CMj3qSdJjx0u",
+    "outputId": "f466433c-6f8f-4188-dfd1-a9ddfdc71264"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>1</th>\n",
+       "      <th>14.23</th>\n",
+       "      <th>1.71</th>\n",
+       "      <th>2.43</th>\n",
+       "      <th>15.6</th>\n",
+       "      <th>127</th>\n",
+       "      <th>2.8</th>\n",
+       "      <th>3.06</th>\n",
+       "      <th>.28</th>\n",
+       "      <th>2.29</th>\n",
+       "      <th>5.64</th>\n",
+       "      <th>1.04</th>\n",
+       "      <th>3.92</th>\n",
+       "      <th>1065</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>13.20</td>\n",
+       "      <td>1.78</td>\n",
+       "      <td>2.14</td>\n",
+       "      <td>11.2</td>\n",
+       "      <td>100</td>\n",
+       "      <td>2.65</td>\n",
+       "      <td>2.76</td>\n",
+       "      <td>0.26</td>\n",
+       "      <td>1.28</td>\n",
+       "      <td>4.380000</td>\n",
+       "      <td>1.05</td>\n",
+       "      <td>3.40</td>\n",
+       "      <td>1050</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1</td>\n",
+       "      <td>14.37</td>\n",
+       "      <td>1.95</td>\n",
+       "      <td>2.50</td>\n",
+       "      <td>16.8</td>\n",
+       "      <td>113</td>\n",
+       "      <td>3.85</td>\n",
+       "      <td>3.49</td>\n",
+       "      <td>0.24</td>\n",
+       "      <td>2.18</td>\n",
+       "      <td>7.800000</td>\n",
+       "      <td>0.86</td>\n",
+       "      <td>3.45</td>\n",
+       "      <td>1480</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1</td>\n",
+       "      <td>14.20</td>\n",
+       "      <td>1.76</td>\n",
+       "      <td>2.45</td>\n",
+       "      <td>15.2</td>\n",
+       "      <td>112</td>\n",
+       "      <td>3.27</td>\n",
+       "      <td>3.39</td>\n",
+       "      <td>0.34</td>\n",
+       "      <td>1.97</td>\n",
+       "      <td>6.750000</td>\n",
+       "      <td>1.05</td>\n",
+       "      <td>2.85</td>\n",
+       "      <td>1450</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>1</td>\n",
+       "      <td>14.06</td>\n",
+       "      <td>2.15</td>\n",
+       "      <td>2.61</td>\n",
+       "      <td>17.6</td>\n",
+       "      <td>121</td>\n",
+       "      <td>2.60</td>\n",
+       "      <td>2.51</td>\n",
+       "      <td>0.31</td>\n",
+       "      <td>1.25</td>\n",
+       "      <td>5.050000</td>\n",
+       "      <td>1.06</td>\n",
+       "      <td>3.58</td>\n",
+       "      <td>1295</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>1</td>\n",
+       "      <td>13.86</td>\n",
+       "      <td>1.35</td>\n",
+       "      <td>2.27</td>\n",
+       "      <td>16.0</td>\n",
+       "      <td>98</td>\n",
+       "      <td>2.98</td>\n",
+       "      <td>3.15</td>\n",
+       "      <td>0.22</td>\n",
+       "      <td>1.85</td>\n",
+       "      <td>7.220000</td>\n",
+       "      <td>1.01</td>\n",
+       "      <td>3.55</td>\n",
+       "      <td>1045</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>1</td>\n",
+       "      <td>14.12</td>\n",
+       "      <td>1.48</td>\n",
+       "      <td>2.32</td>\n",
+       "      <td>16.8</td>\n",
+       "      <td>95</td>\n",
+       "      <td>2.20</td>\n",
+       "      <td>2.43</td>\n",
+       "      <td>0.26</td>\n",
+       "      <td>1.57</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>1.17</td>\n",
+       "      <td>2.82</td>\n",
+       "      <td>1280</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>1</td>\n",
+       "      <td>14.75</td>\n",
+       "      <td>1.73</td>\n",
+       "      <td>2.39</td>\n",
+       "      <td>11.4</td>\n",
+       "      <td>91</td>\n",
+       "      <td>3.10</td>\n",
+       "      <td>3.69</td>\n",
+       "      <td>0.43</td>\n",
+       "      <td>2.81</td>\n",
+       "      <td>5.400000</td>\n",
+       "      <td>1.25</td>\n",
+       "      <td>2.73</td>\n",
+       "      <td>1150</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>1</td>\n",
+       "      <td>13.63</td>\n",
+       "      <td>1.81</td>\n",
+       "      <td>2.70</td>\n",
+       "      <td>17.2</td>\n",
+       "      <td>112</td>\n",
+       "      <td>2.85</td>\n",
+       "      <td>2.91</td>\n",
+       "      <td>0.30</td>\n",
+       "      <td>1.46</td>\n",
+       "      <td>7.300000</td>\n",
+       "      <td>1.28</td>\n",
+       "      <td>2.88</td>\n",
+       "      <td>1310</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>1</td>\n",
+       "      <td>13.83</td>\n",
+       "      <td>1.57</td>\n",
+       "      <td>2.62</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>115</td>\n",
+       "      <td>2.95</td>\n",
+       "      <td>3.40</td>\n",
+       "      <td>0.40</td>\n",
+       "      <td>1.72</td>\n",
+       "      <td>6.600000</td>\n",
+       "      <td>1.13</td>\n",
+       "      <td>2.57</td>\n",
+       "      <td>1130</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>1</td>\n",
+       "      <td>13.64</td>\n",
+       "      <td>3.10</td>\n",
+       "      <td>2.56</td>\n",
+       "      <td>15.2</td>\n",
+       "      <td>116</td>\n",
+       "      <td>2.70</td>\n",
+       "      <td>3.03</td>\n",
+       "      <td>0.17</td>\n",
+       "      <td>1.66</td>\n",
+       "      <td>5.100000</td>\n",
+       "      <td>0.96</td>\n",
+       "      <td>3.36</td>\n",
+       "      <td>845</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>1</td>\n",
+       "      <td>12.93</td>\n",
+       "      <td>3.80</td>\n",
+       "      <td>2.65</td>\n",
+       "      <td>18.6</td>\n",
+       "      <td>102</td>\n",
+       "      <td>2.41</td>\n",
+       "      <td>2.41</td>\n",
+       "      <td>0.25</td>\n",
+       "      <td>1.98</td>\n",
+       "      <td>4.500000</td>\n",
+       "      <td>1.03</td>\n",
+       "      <td>3.52</td>\n",
+       "      <td>770</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>1</td>\n",
+       "      <td>12.85</td>\n",
+       "      <td>1.60</td>\n",
+       "      <td>2.52</td>\n",
+       "      <td>17.8</td>\n",
+       "      <td>95</td>\n",
+       "      <td>2.48</td>\n",
+       "      <td>2.37</td>\n",
+       "      <td>0.26</td>\n",
+       "      <td>1.46</td>\n",
+       "      <td>3.930000</td>\n",
+       "      <td>1.09</td>\n",
+       "      <td>3.63</td>\n",
+       "      <td>1015</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>1</td>\n",
+       "      <td>13.05</td>\n",
+       "      <td>2.05</td>\n",
+       "      <td>3.22</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>124</td>\n",
+       "      <td>2.63</td>\n",
+       "      <td>2.68</td>\n",
+       "      <td>0.47</td>\n",
+       "      <td>1.92</td>\n",
+       "      <td>3.580000</td>\n",
+       "      <td>1.13</td>\n",
+       "      <td>3.20</td>\n",
+       "      <td>830</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>1</td>\n",
+       "      <td>13.30</td>\n",
+       "      <td>1.72</td>\n",
+       "      <td>2.14</td>\n",
+       "      <td>17.0</td>\n",
+       "      <td>94</td>\n",
+       "      <td>2.40</td>\n",
+       "      <td>2.19</td>\n",
+       "      <td>0.27</td>\n",
+       "      <td>1.35</td>\n",
+       "      <td>3.950000</td>\n",
+       "      <td>1.02</td>\n",
+       "      <td>2.77</td>\n",
+       "      <td>1285</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>1</td>\n",
+       "      <td>14.02</td>\n",
+       "      <td>1.68</td>\n",
+       "      <td>2.21</td>\n",
+       "      <td>16.0</td>\n",
+       "      <td>96</td>\n",
+       "      <td>2.65</td>\n",
+       "      <td>2.33</td>\n",
+       "      <td>0.26</td>\n",
+       "      <td>1.98</td>\n",
+       "      <td>4.700000</td>\n",
+       "      <td>1.04</td>\n",
+       "      <td>3.59</td>\n",
+       "      <td>1035</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>30</th>\n",
+       "      <td>1</td>\n",
+       "      <td>13.58</td>\n",
+       "      <td>1.66</td>\n",
+       "      <td>2.36</td>\n",
+       "      <td>19.1</td>\n",
+       "      <td>106</td>\n",
+       "      <td>2.86</td>\n",
+       "      <td>3.19</td>\n",
+       "      <td>0.22</td>\n",
+       "      <td>1.95</td>\n",
+       "      <td>6.900000</td>\n",
+       "      <td>1.09</td>\n",
+       "      <td>2.88</td>\n",
+       "      <td>1515</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32</th>\n",
+       "      <td>1</td>\n",
+       "      <td>13.76</td>\n",
+       "      <td>1.53</td>\n",
+       "      <td>2.70</td>\n",
+       "      <td>19.5</td>\n",
+       "      <td>132</td>\n",
+       "      <td>2.95</td>\n",
+       "      <td>2.74</td>\n",
+       "      <td>0.50</td>\n",
+       "      <td>1.35</td>\n",
+       "      <td>5.400000</td>\n",
+       "      <td>1.25</td>\n",
+       "      <td>3.00</td>\n",
+       "      <td>1235</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>34</th>\n",
+       "      <td>1</td>\n",
+       "      <td>13.48</td>\n",
+       "      <td>1.81</td>\n",
+       "      <td>2.41</td>\n",
+       "      <td>20.5</td>\n",
+       "      <td>100</td>\n",
+       "      <td>2.70</td>\n",
+       "      <td>2.98</td>\n",
+       "      <td>0.26</td>\n",
+       "      <td>1.86</td>\n",
+       "      <td>5.100000</td>\n",
+       "      <td>1.04</td>\n",
+       "      <td>3.47</td>\n",
+       "      <td>920</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>36</th>\n",
+       "      <td>1</td>\n",
+       "      <td>13.05</td>\n",
+       "      <td>1.65</td>\n",
+       "      <td>2.55</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>98</td>\n",
+       "      <td>2.45</td>\n",
+       "      <td>2.43</td>\n",
+       "      <td>0.29</td>\n",
+       "      <td>1.44</td>\n",
+       "      <td>4.250000</td>\n",
+       "      <td>1.12</td>\n",
+       "      <td>2.51</td>\n",
+       "      <td>1105</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38</th>\n",
+       "      <td>1</td>\n",
+       "      <td>14.22</td>\n",
+       "      <td>3.99</td>\n",
+       "      <td>2.51</td>\n",
+       "      <td>13.2</td>\n",
+       "      <td>128</td>\n",
+       "      <td>3.00</td>\n",
+       "      <td>3.04</td>\n",
+       "      <td>0.20</td>\n",
+       "      <td>2.08</td>\n",
+       "      <td>5.100000</td>\n",
+       "      <td>0.89</td>\n",
+       "      <td>3.53</td>\n",
+       "      <td>760</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>40</th>\n",
+       "      <td>1</td>\n",
+       "      <td>13.41</td>\n",
+       "      <td>3.84</td>\n",
+       "      <td>2.12</td>\n",
+       "      <td>18.8</td>\n",
+       "      <td>90</td>\n",
+       "      <td>2.45</td>\n",
+       "      <td>2.68</td>\n",
+       "      <td>0.27</td>\n",
+       "      <td>1.48</td>\n",
+       "      <td>4.280000</td>\n",
+       "      <td>0.91</td>\n",
+       "      <td>3.00</td>\n",
+       "      <td>1035</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>42</th>\n",
+       "      <td>1</td>\n",
+       "      <td>13.24</td>\n",
+       "      <td>3.98</td>\n",
+       "      <td>2.29</td>\n",
+       "      <td>17.5</td>\n",
+       "      <td>103</td>\n",
+       "      <td>2.64</td>\n",
+       "      <td>2.63</td>\n",
+       "      <td>0.32</td>\n",
+       "      <td>1.66</td>\n",
+       "      <td>4.360000</td>\n",
+       "      <td>0.82</td>\n",
+       "      <td>3.00</td>\n",
+       "      <td>680</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>44</th>\n",
+       "      <td>1</td>\n",
+       "      <td>14.21</td>\n",
+       "      <td>4.04</td>\n",
+       "      <td>2.44</td>\n",
+       "      <td>18.9</td>\n",
+       "      <td>111</td>\n",
+       "      <td>2.85</td>\n",
+       "      <td>2.65</td>\n",
+       "      <td>0.30</td>\n",
+       "      <td>1.25</td>\n",
+       "      <td>5.240000</td>\n",
+       "      <td>0.87</td>\n",
+       "      <td>3.33</td>\n",
+       "      <td>1080</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>46</th>\n",
+       "      <td>1</td>\n",
+       "      <td>13.90</td>\n",
+       "      <td>1.68</td>\n",
+       "      <td>2.12</td>\n",
+       "      <td>16.0</td>\n",
+       "      <td>101</td>\n",
+       "      <td>3.10</td>\n",
+       "      <td>3.39</td>\n",
+       "      <td>0.21</td>\n",
+       "      <td>2.14</td>\n",
+       "      <td>6.100000</td>\n",
+       "      <td>0.91</td>\n",
+       "      <td>3.33</td>\n",
+       "      <td>985</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>48</th>\n",
+       "      <td>1</td>\n",
+       "      <td>13.94</td>\n",
+       "      <td>1.73</td>\n",
+       "      <td>2.27</td>\n",
+       "      <td>17.4</td>\n",
+       "      <td>108</td>\n",
+       "      <td>2.88</td>\n",
+       "      <td>3.54</td>\n",
+       "      <td>0.32</td>\n",
+       "      <td>2.08</td>\n",
+       "      <td>8.900000</td>\n",
+       "      <td>1.12</td>\n",
+       "      <td>3.10</td>\n",
+       "      <td>1260</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50</th>\n",
+       "      <td>1</td>\n",
+       "      <td>13.83</td>\n",
+       "      <td>1.65</td>\n",
+       "      <td>2.60</td>\n",
+       "      <td>17.2</td>\n",
+       "      <td>94</td>\n",
+       "      <td>2.45</td>\n",
+       "      <td>2.99</td>\n",
+       "      <td>0.22</td>\n",
+       "      <td>2.29</td>\n",
+       "      <td>5.600000</td>\n",
+       "      <td>1.24</td>\n",
+       "      <td>3.37</td>\n",
+       "      <td>1265</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>52</th>\n",
+       "      <td>1</td>\n",
+       "      <td>13.77</td>\n",
+       "      <td>1.90</td>\n",
+       "      <td>2.68</td>\n",
+       "      <td>17.1</td>\n",
+       "      <td>115</td>\n",
+       "      <td>3.00</td>\n",
+       "      <td>2.79</td>\n",
+       "      <td>0.39</td>\n",
+       "      <td>1.68</td>\n",
+       "      <td>6.300000</td>\n",
+       "      <td>1.13</td>\n",
+       "      <td>2.93</td>\n",
+       "      <td>1375</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>54</th>\n",
+       "      <td>1</td>\n",
+       "      <td>13.56</td>\n",
+       "      <td>1.73</td>\n",
+       "      <td>2.46</td>\n",
+       "      <td>20.5</td>\n",
+       "      <td>116</td>\n",
+       "      <td>2.96</td>\n",
+       "      <td>2.78</td>\n",
+       "      <td>0.20</td>\n",
+       "      <td>2.45</td>\n",
+       "      <td>6.250000</td>\n",
+       "      <td>0.98</td>\n",
+       "      <td>3.03</td>\n",
+       "      <td>1120</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>56</th>\n",
+       "      <td>1</td>\n",
+       "      <td>13.29</td>\n",
+       "      <td>1.97</td>\n",
+       "      <td>2.68</td>\n",
+       "      <td>16.8</td>\n",
+       "      <td>102</td>\n",
+       "      <td>3.00</td>\n",
+       "      <td>3.23</td>\n",
+       "      <td>0.31</td>\n",
+       "      <td>1.66</td>\n",
+       "      <td>6.000000</td>\n",
+       "      <td>1.07</td>\n",
+       "      <td>2.84</td>\n",
+       "      <td>1270</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>58</th>\n",
+       "      <td>2</td>\n",
+       "      <td>12.37</td>\n",
+       "      <td>0.94</td>\n",
+       "      <td>1.36</td>\n",
+       "      <td>10.6</td>\n",
+       "      <td>88</td>\n",
+       "      <td>1.98</td>\n",
+       "      <td>0.57</td>\n",
+       "      <td>0.28</td>\n",
+       "      <td>0.42</td>\n",
+       "      <td>1.950000</td>\n",
+       "      <td>1.05</td>\n",
+       "      <td>1.82</td>\n",
+       "      <td>520</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>118</th>\n",
+       "      <td>2</td>\n",
+       "      <td>12.00</td>\n",
+       "      <td>3.43</td>\n",
+       "      <td>2.00</td>\n",
+       "      <td>19.0</td>\n",
+       "      <td>87</td>\n",
+       "      <td>2.00</td>\n",
+       "      <td>1.64</td>\n",
+       "      <td>0.37</td>\n",
+       "      <td>1.87</td>\n",
+       "      <td>1.280000</td>\n",
+       "      <td>0.93</td>\n",
+       "      <td>3.05</td>\n",
+       "      <td>564</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>120</th>\n",
+       "      <td>2</td>\n",
+       "      <td>11.56</td>\n",
+       "      <td>2.05</td>\n",
+       "      <td>3.23</td>\n",
+       "      <td>28.5</td>\n",
+       "      <td>119</td>\n",
+       "      <td>3.18</td>\n",
+       "      <td>5.08</td>\n",
+       "      <td>0.47</td>\n",
+       "      <td>1.87</td>\n",
+       "      <td>6.000000</td>\n",
+       "      <td>0.93</td>\n",
+       "      <td>3.69</td>\n",
+       "      <td>465</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>122</th>\n",
+       "      <td>2</td>\n",
+       "      <td>13.05</td>\n",
+       "      <td>5.80</td>\n",
+       "      <td>2.13</td>\n",
+       "      <td>21.5</td>\n",
+       "      <td>86</td>\n",
+       "      <td>2.62</td>\n",
+       "      <td>2.65</td>\n",
+       "      <td>0.30</td>\n",
+       "      <td>2.01</td>\n",
+       "      <td>2.600000</td>\n",
+       "      <td>0.73</td>\n",
+       "      <td>3.10</td>\n",
+       "      <td>380</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>124</th>\n",
+       "      <td>2</td>\n",
+       "      <td>12.07</td>\n",
+       "      <td>2.16</td>\n",
+       "      <td>2.17</td>\n",
+       "      <td>21.0</td>\n",
+       "      <td>85</td>\n",
+       "      <td>2.60</td>\n",
+       "      <td>2.65</td>\n",
+       "      <td>0.37</td>\n",
+       "      <td>1.35</td>\n",
+       "      <td>2.760000</td>\n",
+       "      <td>0.86</td>\n",
+       "      <td>3.28</td>\n",
+       "      <td>378</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>126</th>\n",
+       "      <td>2</td>\n",
+       "      <td>11.79</td>\n",
+       "      <td>2.13</td>\n",
+       "      <td>2.78</td>\n",
+       "      <td>28.5</td>\n",
+       "      <td>92</td>\n",
+       "      <td>2.13</td>\n",
+       "      <td>2.24</td>\n",
+       "      <td>0.58</td>\n",
+       "      <td>1.76</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>0.97</td>\n",
+       "      <td>2.44</td>\n",
+       "      <td>466</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>128</th>\n",
+       "      <td>2</td>\n",
+       "      <td>12.04</td>\n",
+       "      <td>4.30</td>\n",
+       "      <td>2.38</td>\n",
+       "      <td>22.0</td>\n",
+       "      <td>80</td>\n",
+       "      <td>2.10</td>\n",
+       "      <td>1.75</td>\n",
+       "      <td>0.42</td>\n",
+       "      <td>1.35</td>\n",
+       "      <td>2.600000</td>\n",
+       "      <td>0.79</td>\n",
+       "      <td>2.57</td>\n",
+       "      <td>580</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>130</th>\n",
+       "      <td>3</td>\n",
+       "      <td>12.88</td>\n",
+       "      <td>2.99</td>\n",
+       "      <td>2.40</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>104</td>\n",
+       "      <td>1.30</td>\n",
+       "      <td>1.22</td>\n",
+       "      <td>0.24</td>\n",
+       "      <td>0.83</td>\n",
+       "      <td>5.400000</td>\n",
+       "      <td>0.74</td>\n",
+       "      <td>1.42</td>\n",
+       "      <td>530</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>132</th>\n",
+       "      <td>3</td>\n",
+       "      <td>12.70</td>\n",
+       "      <td>3.55</td>\n",
+       "      <td>2.36</td>\n",
+       "      <td>21.5</td>\n",
+       "      <td>106</td>\n",
+       "      <td>1.70</td>\n",
+       "      <td>1.20</td>\n",
+       "      <td>0.17</td>\n",
+       "      <td>0.84</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>0.78</td>\n",
+       "      <td>1.29</td>\n",
+       "      <td>600</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>134</th>\n",
+       "      <td>3</td>\n",
+       "      <td>12.60</td>\n",
+       "      <td>2.46</td>\n",
+       "      <td>2.20</td>\n",
+       "      <td>18.5</td>\n",
+       "      <td>94</td>\n",
+       "      <td>1.62</td>\n",
+       "      <td>0.66</td>\n",
+       "      <td>0.63</td>\n",
+       "      <td>0.94</td>\n",
+       "      <td>7.100000</td>\n",
+       "      <td>0.73</td>\n",
+       "      <td>1.58</td>\n",
+       "      <td>695</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>136</th>\n",
+       "      <td>3</td>\n",
+       "      <td>12.53</td>\n",
+       "      <td>5.51</td>\n",
+       "      <td>2.64</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>96</td>\n",
+       "      <td>1.79</td>\n",
+       "      <td>0.60</td>\n",
+       "      <td>0.63</td>\n",
+       "      <td>1.10</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>0.82</td>\n",
+       "      <td>1.69</td>\n",
+       "      <td>515</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>138</th>\n",
+       "      <td>3</td>\n",
+       "      <td>12.84</td>\n",
+       "      <td>2.96</td>\n",
+       "      <td>2.61</td>\n",
+       "      <td>24.0</td>\n",
+       "      <td>101</td>\n",
+       "      <td>2.32</td>\n",
+       "      <td>0.60</td>\n",
+       "      <td>0.53</td>\n",
+       "      <td>0.81</td>\n",
+       "      <td>4.920000</td>\n",
+       "      <td>0.89</td>\n",
+       "      <td>2.15</td>\n",
+       "      <td>590</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>140</th>\n",
+       "      <td>3</td>\n",
+       "      <td>13.36</td>\n",
+       "      <td>2.56</td>\n",
+       "      <td>2.35</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>89</td>\n",
+       "      <td>1.40</td>\n",
+       "      <td>0.50</td>\n",
+       "      <td>0.37</td>\n",
+       "      <td>0.64</td>\n",
+       "      <td>5.600000</td>\n",
+       "      <td>0.70</td>\n",
+       "      <td>2.47</td>\n",
+       "      <td>780</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>142</th>\n",
+       "      <td>3</td>\n",
+       "      <td>13.62</td>\n",
+       "      <td>4.95</td>\n",
+       "      <td>2.35</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>92</td>\n",
+       "      <td>2.00</td>\n",
+       "      <td>0.80</td>\n",
+       "      <td>0.47</td>\n",
+       "      <td>1.02</td>\n",
+       "      <td>4.400000</td>\n",
+       "      <td>0.91</td>\n",
+       "      <td>2.05</td>\n",
+       "      <td>550</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>144</th>\n",
+       "      <td>3</td>\n",
+       "      <td>13.16</td>\n",
+       "      <td>3.57</td>\n",
+       "      <td>2.15</td>\n",
+       "      <td>21.0</td>\n",
+       "      <td>102</td>\n",
+       "      <td>1.50</td>\n",
+       "      <td>0.55</td>\n",
+       "      <td>0.43</td>\n",
+       "      <td>1.30</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>0.60</td>\n",
+       "      <td>1.68</td>\n",
+       "      <td>830</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>146</th>\n",
+       "      <td>3</td>\n",
+       "      <td>12.87</td>\n",
+       "      <td>4.61</td>\n",
+       "      <td>2.48</td>\n",
+       "      <td>21.5</td>\n",
+       "      <td>86</td>\n",
+       "      <td>1.70</td>\n",
+       "      <td>0.65</td>\n",
+       "      <td>0.47</td>\n",
+       "      <td>0.86</td>\n",
+       "      <td>7.650000</td>\n",
+       "      <td>0.54</td>\n",
+       "      <td>1.86</td>\n",
+       "      <td>625</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>148</th>\n",
+       "      <td>3</td>\n",
+       "      <td>13.08</td>\n",
+       "      <td>3.90</td>\n",
+       "      <td>2.36</td>\n",
+       "      <td>21.5</td>\n",
+       "      <td>113</td>\n",
+       "      <td>1.41</td>\n",
+       "      <td>1.39</td>\n",
+       "      <td>0.34</td>\n",
+       "      <td>1.14</td>\n",
+       "      <td>9.400000</td>\n",
+       "      <td>0.57</td>\n",
+       "      <td>1.33</td>\n",
+       "      <td>550</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>150</th>\n",
+       "      <td>3</td>\n",
+       "      <td>12.79</td>\n",
+       "      <td>2.67</td>\n",
+       "      <td>2.48</td>\n",
+       "      <td>22.0</td>\n",
+       "      <td>112</td>\n",
+       "      <td>1.48</td>\n",
+       "      <td>1.36</td>\n",
+       "      <td>0.24</td>\n",
+       "      <td>1.26</td>\n",
+       "      <td>10.800000</td>\n",
+       "      <td>0.48</td>\n",
+       "      <td>1.47</td>\n",
+       "      <td>480</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>152</th>\n",
+       "      <td>3</td>\n",
+       "      <td>13.23</td>\n",
+       "      <td>3.30</td>\n",
+       "      <td>2.28</td>\n",
+       "      <td>18.5</td>\n",
+       "      <td>98</td>\n",
+       "      <td>1.80</td>\n",
+       "      <td>0.83</td>\n",
+       "      <td>0.61</td>\n",
+       "      <td>1.87</td>\n",
+       "      <td>10.520000</td>\n",
+       "      <td>0.56</td>\n",
+       "      <td>1.51</td>\n",
+       "      <td>675</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>154</th>\n",
+       "      <td>3</td>\n",
+       "      <td>13.17</td>\n",
+       "      <td>5.19</td>\n",
+       "      <td>2.32</td>\n",
+       "      <td>22.0</td>\n",
+       "      <td>93</td>\n",
+       "      <td>1.74</td>\n",
+       "      <td>0.63</td>\n",
+       "      <td>0.61</td>\n",
+       "      <td>1.55</td>\n",
+       "      <td>7.900000</td>\n",
+       "      <td>0.60</td>\n",
+       "      <td>1.48</td>\n",
+       "      <td>725</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>156</th>\n",
+       "      <td>3</td>\n",
+       "      <td>12.45</td>\n",
+       "      <td>3.03</td>\n",
+       "      <td>2.64</td>\n",
+       "      <td>27.0</td>\n",
+       "      <td>97</td>\n",
+       "      <td>1.90</td>\n",
+       "      <td>0.58</td>\n",
+       "      <td>0.63</td>\n",
+       "      <td>1.14</td>\n",
+       "      <td>7.500000</td>\n",
+       "      <td>0.67</td>\n",
+       "      <td>1.73</td>\n",
+       "      <td>880</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>158</th>\n",
+       "      <td>3</td>\n",
+       "      <td>13.48</td>\n",
+       "      <td>1.67</td>\n",
+       "      <td>2.64</td>\n",
+       "      <td>22.5</td>\n",
+       "      <td>89</td>\n",
+       "      <td>2.60</td>\n",
+       "      <td>1.10</td>\n",
+       "      <td>0.52</td>\n",
+       "      <td>2.29</td>\n",
+       "      <td>11.750000</td>\n",
+       "      <td>0.57</td>\n",
+       "      <td>1.78</td>\n",
+       "      <td>620</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>160</th>\n",
+       "      <td>3</td>\n",
+       "      <td>13.69</td>\n",
+       "      <td>3.26</td>\n",
+       "      <td>2.54</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>107</td>\n",
+       "      <td>1.83</td>\n",
+       "      <td>0.56</td>\n",
+       "      <td>0.50</td>\n",
+       "      <td>0.80</td>\n",
+       "      <td>5.880000</td>\n",
+       "      <td>0.96</td>\n",
+       "      <td>1.82</td>\n",
+       "      <td>680</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>162</th>\n",
+       "      <td>3</td>\n",
+       "      <td>12.96</td>\n",
+       "      <td>3.45</td>\n",
+       "      <td>2.35</td>\n",
+       "      <td>18.5</td>\n",
+       "      <td>106</td>\n",
+       "      <td>1.39</td>\n",
+       "      <td>0.70</td>\n",
+       "      <td>0.40</td>\n",
+       "      <td>0.94</td>\n",
+       "      <td>5.280000</td>\n",
+       "      <td>0.68</td>\n",
+       "      <td>1.75</td>\n",
+       "      <td>675</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>164</th>\n",
+       "      <td>3</td>\n",
+       "      <td>13.73</td>\n",
+       "      <td>4.36</td>\n",
+       "      <td>2.26</td>\n",
+       "      <td>22.5</td>\n",
+       "      <td>88</td>\n",
+       "      <td>1.28</td>\n",
+       "      <td>0.47</td>\n",
+       "      <td>0.52</td>\n",
+       "      <td>1.15</td>\n",
+       "      <td>6.620000</td>\n",
+       "      <td>0.78</td>\n",
+       "      <td>1.75</td>\n",
+       "      <td>520</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>166</th>\n",
+       "      <td>3</td>\n",
+       "      <td>12.82</td>\n",
+       "      <td>3.37</td>\n",
+       "      <td>2.30</td>\n",
+       "      <td>19.5</td>\n",
+       "      <td>88</td>\n",
+       "      <td>1.48</td>\n",
+       "      <td>0.66</td>\n",
+       "      <td>0.40</td>\n",
+       "      <td>0.97</td>\n",
+       "      <td>10.260000</td>\n",
+       "      <td>0.72</td>\n",
+       "      <td>1.75</td>\n",
+       "      <td>685</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>168</th>\n",
+       "      <td>3</td>\n",
+       "      <td>13.40</td>\n",
+       "      <td>4.60</td>\n",
+       "      <td>2.86</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>112</td>\n",
+       "      <td>1.98</td>\n",
+       "      <td>0.96</td>\n",
+       "      <td>0.27</td>\n",
+       "      <td>1.11</td>\n",
+       "      <td>8.500000</td>\n",
+       "      <td>0.67</td>\n",
+       "      <td>1.92</td>\n",
+       "      <td>630</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>170</th>\n",
+       "      <td>3</td>\n",
+       "      <td>12.77</td>\n",
+       "      <td>2.39</td>\n",
+       "      <td>2.28</td>\n",
+       "      <td>19.5</td>\n",
+       "      <td>86</td>\n",
+       "      <td>1.39</td>\n",
+       "      <td>0.51</td>\n",
+       "      <td>0.48</td>\n",
+       "      <td>0.64</td>\n",
+       "      <td>9.899999</td>\n",
+       "      <td>0.57</td>\n",
+       "      <td>1.63</td>\n",
+       "      <td>470</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>172</th>\n",
+       "      <td>3</td>\n",
+       "      <td>13.71</td>\n",
+       "      <td>5.65</td>\n",
+       "      <td>2.45</td>\n",
+       "      <td>20.5</td>\n",
+       "      <td>95</td>\n",
+       "      <td>1.68</td>\n",
+       "      <td>0.61</td>\n",
+       "      <td>0.52</td>\n",
+       "      <td>1.06</td>\n",
+       "      <td>7.700000</td>\n",
+       "      <td>0.64</td>\n",
+       "      <td>1.74</td>\n",
+       "      <td>740</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>174</th>\n",
+       "      <td>3</td>\n",
+       "      <td>13.27</td>\n",
+       "      <td>4.28</td>\n",
+       "      <td>2.26</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>120</td>\n",
+       "      <td>1.59</td>\n",
+       "      <td>0.69</td>\n",
+       "      <td>0.43</td>\n",
+       "      <td>1.35</td>\n",
+       "      <td>10.200000</td>\n",
+       "      <td>0.59</td>\n",
+       "      <td>1.56</td>\n",
+       "      <td>835</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>176</th>\n",
+       "      <td>3</td>\n",
+       "      <td>14.13</td>\n",
+       "      <td>4.10</td>\n",
+       "      <td>2.74</td>\n",
+       "      <td>24.5</td>\n",
+       "      <td>96</td>\n",
+       "      <td>2.05</td>\n",
+       "      <td>0.76</td>\n",
+       "      <td>0.56</td>\n",
+       "      <td>1.35</td>\n",
+       "      <td>9.200000</td>\n",
+       "      <td>0.61</td>\n",
+       "      <td>1.60</td>\n",
+       "      <td>560</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>89 rows × 14 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     1  14.23  1.71  2.43  15.6  127   2.8  3.06   .28  2.29       5.64  1.04  \\\n",
+       "0    1  13.20  1.78  2.14  11.2  100  2.65  2.76  0.26  1.28   4.380000  1.05   \n",
+       "2    1  14.37  1.95  2.50  16.8  113  3.85  3.49  0.24  2.18   7.800000  0.86   \n",
+       "4    1  14.20  1.76  2.45  15.2  112  3.27  3.39  0.34  1.97   6.750000  1.05   \n",
+       "6    1  14.06  2.15  2.61  17.6  121  2.60  2.51  0.31  1.25   5.050000  1.06   \n",
+       "8    1  13.86  1.35  2.27  16.0   98  2.98  3.15  0.22  1.85   7.220000  1.01   \n",
+       "10   1  14.12  1.48  2.32  16.8   95  2.20  2.43  0.26  1.57   5.000000  1.17   \n",
+       "12   1  14.75  1.73  2.39  11.4   91  3.10  3.69  0.43  2.81   5.400000  1.25   \n",
+       "14   1  13.63  1.81  2.70  17.2  112  2.85  2.91  0.30  1.46   7.300000  1.28   \n",
+       "16   1  13.83  1.57  2.62  20.0  115  2.95  3.40  0.40  1.72   6.600000  1.13   \n",
+       "18   1  13.64  3.10  2.56  15.2  116  2.70  3.03  0.17  1.66   5.100000  0.96   \n",
+       "20   1  12.93  3.80  2.65  18.6  102  2.41  2.41  0.25  1.98   4.500000  1.03   \n",
+       "22   1  12.85  1.60  2.52  17.8   95  2.48  2.37  0.26  1.46   3.930000  1.09   \n",
+       "24   1  13.05  2.05  3.22  25.0  124  2.63  2.68  0.47  1.92   3.580000  1.13   \n",
+       "26   1  13.30  1.72  2.14  17.0   94  2.40  2.19  0.27  1.35   3.950000  1.02   \n",
+       "28   1  14.02  1.68  2.21  16.0   96  2.65  2.33  0.26  1.98   4.700000  1.04   \n",
+       "30   1  13.58  1.66  2.36  19.1  106  2.86  3.19  0.22  1.95   6.900000  1.09   \n",
+       "32   1  13.76  1.53  2.70  19.5  132  2.95  2.74  0.50  1.35   5.400000  1.25   \n",
+       "34   1  13.48  1.81  2.41  20.5  100  2.70  2.98  0.26  1.86   5.100000  1.04   \n",
+       "36   1  13.05  1.65  2.55  18.0   98  2.45  2.43  0.29  1.44   4.250000  1.12   \n",
+       "38   1  14.22  3.99  2.51  13.2  128  3.00  3.04  0.20  2.08   5.100000  0.89   \n",
+       "40   1  13.41  3.84  2.12  18.8   90  2.45  2.68  0.27  1.48   4.280000  0.91   \n",
+       "42   1  13.24  3.98  2.29  17.5  103  2.64  2.63  0.32  1.66   4.360000  0.82   \n",
+       "44   1  14.21  4.04  2.44  18.9  111  2.85  2.65  0.30  1.25   5.240000  0.87   \n",
+       "46   1  13.90  1.68  2.12  16.0  101  3.10  3.39  0.21  2.14   6.100000  0.91   \n",
+       "48   1  13.94  1.73  2.27  17.4  108  2.88  3.54  0.32  2.08   8.900000  1.12   \n",
+       "50   1  13.83  1.65  2.60  17.2   94  2.45  2.99  0.22  2.29   5.600000  1.24   \n",
+       "52   1  13.77  1.90  2.68  17.1  115  3.00  2.79  0.39  1.68   6.300000  1.13   \n",
+       "54   1  13.56  1.73  2.46  20.5  116  2.96  2.78  0.20  2.45   6.250000  0.98   \n",
+       "56   1  13.29  1.97  2.68  16.8  102  3.00  3.23  0.31  1.66   6.000000  1.07   \n",
+       "58   2  12.37  0.94  1.36  10.6   88  1.98  0.57  0.28  0.42   1.950000  1.05   \n",
+       "..  ..    ...   ...   ...   ...  ...   ...   ...   ...   ...        ...   ...   \n",
+       "118  2  12.00  3.43  2.00  19.0   87  2.00  1.64  0.37  1.87   1.280000  0.93   \n",
+       "120  2  11.56  2.05  3.23  28.5  119  3.18  5.08  0.47  1.87   6.000000  0.93   \n",
+       "122  2  13.05  5.80  2.13  21.5   86  2.62  2.65  0.30  2.01   2.600000  0.73   \n",
+       "124  2  12.07  2.16  2.17  21.0   85  2.60  2.65  0.37  1.35   2.760000  0.86   \n",
+       "126  2  11.79  2.13  2.78  28.5   92  2.13  2.24  0.58  1.76   3.000000  0.97   \n",
+       "128  2  12.04  4.30  2.38  22.0   80  2.10  1.75  0.42  1.35   2.600000  0.79   \n",
+       "130  3  12.88  2.99  2.40  20.0  104  1.30  1.22  0.24  0.83   5.400000  0.74   \n",
+       "132  3  12.70  3.55  2.36  21.5  106  1.70  1.20  0.17  0.84   5.000000  0.78   \n",
+       "134  3  12.60  2.46  2.20  18.5   94  1.62  0.66  0.63  0.94   7.100000  0.73   \n",
+       "136  3  12.53  5.51  2.64  25.0   96  1.79  0.60  0.63  1.10   5.000000  0.82   \n",
+       "138  3  12.84  2.96  2.61  24.0  101  2.32  0.60  0.53  0.81   4.920000  0.89   \n",
+       "140  3  13.36  2.56  2.35  20.0   89  1.40  0.50  0.37  0.64   5.600000  0.70   \n",
+       "142  3  13.62  4.95  2.35  20.0   92  2.00  0.80  0.47  1.02   4.400000  0.91   \n",
+       "144  3  13.16  3.57  2.15  21.0  102  1.50  0.55  0.43  1.30   4.000000  0.60   \n",
+       "146  3  12.87  4.61  2.48  21.5   86  1.70  0.65  0.47  0.86   7.650000  0.54   \n",
+       "148  3  13.08  3.90  2.36  21.5  113  1.41  1.39  0.34  1.14   9.400000  0.57   \n",
+       "150  3  12.79  2.67  2.48  22.0  112  1.48  1.36  0.24  1.26  10.800000  0.48   \n",
+       "152  3  13.23  3.30  2.28  18.5   98  1.80  0.83  0.61  1.87  10.520000  0.56   \n",
+       "154  3  13.17  5.19  2.32  22.0   93  1.74  0.63  0.61  1.55   7.900000  0.60   \n",
+       "156  3  12.45  3.03  2.64  27.0   97  1.90  0.58  0.63  1.14   7.500000  0.67   \n",
+       "158  3  13.48  1.67  2.64  22.5   89  2.60  1.10  0.52  2.29  11.750000  0.57   \n",
+       "160  3  13.69  3.26  2.54  20.0  107  1.83  0.56  0.50  0.80   5.880000  0.96   \n",
+       "162  3  12.96  3.45  2.35  18.5  106  1.39  0.70  0.40  0.94   5.280000  0.68   \n",
+       "164  3  13.73  4.36  2.26  22.5   88  1.28  0.47  0.52  1.15   6.620000  0.78   \n",
+       "166  3  12.82  3.37  2.30  19.5   88  1.48  0.66  0.40  0.97  10.260000  0.72   \n",
+       "168  3  13.40  4.60  2.86  25.0  112  1.98  0.96  0.27  1.11   8.500000  0.67   \n",
+       "170  3  12.77  2.39  2.28  19.5   86  1.39  0.51  0.48  0.64   9.899999  0.57   \n",
+       "172  3  13.71  5.65  2.45  20.5   95  1.68  0.61  0.52  1.06   7.700000  0.64   \n",
+       "174  3  13.27  4.28  2.26  20.0  120  1.59  0.69  0.43  1.35  10.200000  0.59   \n",
+       "176  3  14.13  4.10  2.74  24.5   96  2.05  0.76  0.56  1.35   9.200000  0.61   \n",
+       "\n",
+       "     3.92  1065  \n",
+       "0    3.40  1050  \n",
+       "2    3.45  1480  \n",
+       "4    2.85  1450  \n",
+       "6    3.58  1295  \n",
+       "8    3.55  1045  \n",
+       "10   2.82  1280  \n",
+       "12   2.73  1150  \n",
+       "14   2.88  1310  \n",
+       "16   2.57  1130  \n",
+       "18   3.36   845  \n",
+       "20   3.52   770  \n",
+       "22   3.63  1015  \n",
+       "24   3.20   830  \n",
+       "26   2.77  1285  \n",
+       "28   3.59  1035  \n",
+       "30   2.88  1515  \n",
+       "32   3.00  1235  \n",
+       "34   3.47   920  \n",
+       "36   2.51  1105  \n",
+       "38   3.53   760  \n",
+       "40   3.00  1035  \n",
+       "42   3.00   680  \n",
+       "44   3.33  1080  \n",
+       "46   3.33   985  \n",
+       "48   3.10  1260  \n",
+       "50   3.37  1265  \n",
+       "52   2.93  1375  \n",
+       "54   3.03  1120  \n",
+       "56   2.84  1270  \n",
+       "58   1.82   520  \n",
+       "..    ...   ...  \n",
+       "118  3.05   564  \n",
+       "120  3.69   465  \n",
+       "122  3.10   380  \n",
+       "124  3.28   378  \n",
+       "126  2.44   466  \n",
+       "128  2.57   580  \n",
+       "130  1.42   530  \n",
+       "132  1.29   600  \n",
+       "134  1.58   695  \n",
+       "136  1.69   515  \n",
+       "138  2.15   590  \n",
+       "140  2.47   780  \n",
+       "142  2.05   550  \n",
+       "144  1.68   830  \n",
+       "146  1.86   625  \n",
+       "148  1.33   550  \n",
+       "150  1.47   480  \n",
+       "152  1.51   675  \n",
+       "154  1.48   725  \n",
+       "156  1.73   880  \n",
+       "158  1.78   620  \n",
+       "160  1.82   680  \n",
+       "162  1.75   675  \n",
+       "164  1.75   520  \n",
+       "166  1.75   685  \n",
+       "168  1.92   630  \n",
+       "170  1.63   470  \n",
+       "172  1.74   740  \n",
+       "174  1.56   835  \n",
+       "176  1.60   560  \n",
+       "\n",
+       "[89 rows x 14 columns]"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "wine_df_copy = wine_df.copy(deep =True)\n",
+    "wine_df_copy.head()\n",
+    "odd_rows= [i for i in range(1,len(wine_df_copy.count(axis = 1))) if i%2!=0]\n",
+    "wine_df_copy.drop(odd_rows)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "o6Cs6T1Rjz71"
+   },
+   "source": [
+    "#### Assign the columns as below:\n",
+    "\n",
+    "The attributes are (dontated by Riccardo Leardi, riclea '@' anchem.unige.it):  \n",
+    "1) Alcohol  \n",
+    "2) Malic acid  \n",
+    "3) Ash  \n",
+    "4) Alcalinity of ash  \n",
+    "5) Magnesium  \n",
+    "6) Total phenols  \n",
+    "7) Flavanoids  \n",
+    "8) Nonflavanoid phenols  \n",
+    "9) Proanthocyanins  \n",
+    "10)Color intensity  \n",
+    "11)Hue  \n",
+    "12)OD280/OD315 of diluted wines  \n",
+    "13)Proline "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "my8HB4V4j779"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Count</th>\n",
+       "      <th>Alcohol</th>\n",
+       "      <th>MAlic acid</th>\n",
+       "      <th>Ash</th>\n",
+       "      <th>Alcalinity of ash</th>\n",
+       "      <th>Magnesium</th>\n",
+       "      <th>Total phenols</th>\n",
+       "      <th>Flavanoids</th>\n",
+       "      <th>Nonflavanoid phenols</th>\n",
+       "      <th>Proanthocyanins</th>\n",
+       "      <th>Color intensity</th>\n",
+       "      <th>Hue</th>\n",
+       "      <th>OD280/OD315 OF diluted wines</th>\n",
+       "      <th>Proline</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>13.20</td>\n",
+       "      <td>1.78</td>\n",
+       "      <td>2.14</td>\n",
+       "      <td>11.2</td>\n",
+       "      <td>100</td>\n",
+       "      <td>2.65</td>\n",
+       "      <td>2.76</td>\n",
+       "      <td>0.26</td>\n",
+       "      <td>1.28</td>\n",
+       "      <td>4.38</td>\n",
+       "      <td>1.05</td>\n",
+       "      <td>3.40</td>\n",
+       "      <td>1050</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>13.16</td>\n",
+       "      <td>2.36</td>\n",
+       "      <td>2.67</td>\n",
+       "      <td>18.6</td>\n",
+       "      <td>101</td>\n",
+       "      <td>2.80</td>\n",
+       "      <td>3.24</td>\n",
+       "      <td>0.30</td>\n",
+       "      <td>2.81</td>\n",
+       "      <td>5.68</td>\n",
+       "      <td>1.03</td>\n",
+       "      <td>3.17</td>\n",
+       "      <td>1185</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1</td>\n",
+       "      <td>14.37</td>\n",
+       "      <td>1.95</td>\n",
+       "      <td>2.50</td>\n",
+       "      <td>16.8</td>\n",
+       "      <td>113</td>\n",
+       "      <td>3.85</td>\n",
+       "      <td>3.49</td>\n",
+       "      <td>0.24</td>\n",
+       "      <td>2.18</td>\n",
+       "      <td>7.80</td>\n",
+       "      <td>0.86</td>\n",
+       "      <td>3.45</td>\n",
+       "      <td>1480</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1</td>\n",
+       "      <td>13.24</td>\n",
+       "      <td>2.59</td>\n",
+       "      <td>2.87</td>\n",
+       "      <td>21.0</td>\n",
+       "      <td>118</td>\n",
+       "      <td>2.80</td>\n",
+       "      <td>2.69</td>\n",
+       "      <td>0.39</td>\n",
+       "      <td>1.82</td>\n",
+       "      <td>4.32</td>\n",
+       "      <td>1.04</td>\n",
+       "      <td>2.93</td>\n",
+       "      <td>735</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1</td>\n",
+       "      <td>14.20</td>\n",
+       "      <td>1.76</td>\n",
+       "      <td>2.45</td>\n",
+       "      <td>15.2</td>\n",
+       "      <td>112</td>\n",
+       "      <td>3.27</td>\n",
+       "      <td>3.39</td>\n",
+       "      <td>0.34</td>\n",
+       "      <td>1.97</td>\n",
+       "      <td>6.75</td>\n",
+       "      <td>1.05</td>\n",
+       "      <td>2.85</td>\n",
+       "      <td>1450</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Count  Alcohol  MAlic acid   Ash  Alcalinity of ash  Magnesium  \\\n",
+       "0      1    13.20        1.78  2.14               11.2        100   \n",
+       "1      1    13.16        2.36  2.67               18.6        101   \n",
+       "2      1    14.37        1.95  2.50               16.8        113   \n",
+       "3      1    13.24        2.59  2.87               21.0        118   \n",
+       "4      1    14.20        1.76  2.45               15.2        112   \n",
+       "\n",
+       "   Total phenols  Flavanoids  Nonflavanoid phenols  Proanthocyanins  \\\n",
+       "0           2.65        2.76                  0.26             1.28   \n",
+       "1           2.80        3.24                  0.30             2.81   \n",
+       "2           3.85        3.49                  0.24             2.18   \n",
+       "3           2.80        2.69                  0.39             1.82   \n",
+       "4           3.27        3.39                  0.34             1.97   \n",
+       "\n",
+       "   Color intensity   Hue  OD280/OD315 OF diluted wines  Proline  \n",
+       "0             4.38  1.05                          3.40     1050  \n",
+       "1             5.68  1.03                          3.17     1185  \n",
+       "2             7.80  0.86                          3.45     1480  \n",
+       "3             4.32  1.04                          2.93      735  \n",
+       "4             6.75  1.05                          2.85     1450  "
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "wine_df.columns = ['Count','Alcohol','MAlic acid', 'Ash', 'Alcalinity of ash', 'Magnesium', 'Total phenols', 'Flavanoids','Nonflavanoid phenols', 'Proanthocyanins','Color intensity','Hue', 'OD280/OD315 OF diluted wines', 'Proline']\n",
+    "wine_df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "Zqi7hwWpkNbH"
+   },
+   "source": [
+    "#### Set the values of the first 3 rows from alcohol as NaN\n",
+    "\n",
+    "Hint- Use iloc to select 3 rows of wine_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "buyT4vX4kPMl"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Count</th>\n",
+       "      <th>Alcohol</th>\n",
+       "      <th>MAlic acid</th>\n",
+       "      <th>Ash</th>\n",
+       "      <th>Alcalinity of ash</th>\n",
+       "      <th>Magnesium</th>\n",
+       "      <th>Total phenols</th>\n",
+       "      <th>Flavanoids</th>\n",
+       "      <th>Nonflavanoid phenols</th>\n",
+       "      <th>Proanthocyanins</th>\n",
+       "      <th>Color intensity</th>\n",
+       "      <th>Hue</th>\n",
+       "      <th>OD280/OD315 OF diluted wines</th>\n",
+       "      <th>Proline</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>13.24</td>\n",
+       "      <td>2.59</td>\n",
+       "      <td>2.87</td>\n",
+       "      <td>21.0</td>\n",
+       "      <td>118.0</td>\n",
+       "      <td>2.80</td>\n",
+       "      <td>2.69</td>\n",
+       "      <td>0.39</td>\n",
+       "      <td>1.82</td>\n",
+       "      <td>4.32</td>\n",
+       "      <td>1.04</td>\n",
+       "      <td>2.93</td>\n",
+       "      <td>735.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>14.20</td>\n",
+       "      <td>1.76</td>\n",
+       "      <td>2.45</td>\n",
+       "      <td>15.2</td>\n",
+       "      <td>112.0</td>\n",
+       "      <td>3.27</td>\n",
+       "      <td>3.39</td>\n",
+       "      <td>0.34</td>\n",
+       "      <td>1.97</td>\n",
+       "      <td>6.75</td>\n",
+       "      <td>1.05</td>\n",
+       "      <td>2.85</td>\n",
+       "      <td>1450.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Count  Alcohol  MAlic acid   Ash  Alcalinity of ash  Magnesium  \\\n",
+       "0    NaN      NaN         NaN   NaN                NaN        NaN   \n",
+       "1    NaN      NaN         NaN   NaN                NaN        NaN   \n",
+       "2    NaN      NaN         NaN   NaN                NaN        NaN   \n",
+       "3    1.0    13.24        2.59  2.87               21.0      118.0   \n",
+       "4    1.0    14.20        1.76  2.45               15.2      112.0   \n",
+       "\n",
+       "   Total phenols  Flavanoids  Nonflavanoid phenols  Proanthocyanins  \\\n",
+       "0            NaN         NaN                   NaN              NaN   \n",
+       "1            NaN         NaN                   NaN              NaN   \n",
+       "2            NaN         NaN                   NaN              NaN   \n",
+       "3           2.80        2.69                  0.39             1.82   \n",
+       "4           3.27        3.39                  0.34             1.97   \n",
+       "\n",
+       "   Color intensity   Hue  OD280/OD315 OF diluted wines  Proline  \n",
+       "0              NaN   NaN                           NaN      NaN  \n",
+       "1              NaN   NaN                           NaN      NaN  \n",
+       "2              NaN   NaN                           NaN      NaN  \n",
+       "3             4.32  1.04                          2.93    735.0  \n",
+       "4             6.75  1.05                          2.85   1450.0  "
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "wine_df.iloc[:3]=np.nan\n",
+    "wine_df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "RQMNI2UHkP3o"
+   },
+   "source": [
+    "#### Create an array of 10 random numbers uptill 10 and assign it to a  variable named `random`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "xunmCjaEmDwZ"
+   },
+   "outputs": [],
+   "source": [
+    "from random import *\n",
+    "random=[]\n",
+    "for i in range(10):\n",
+    "    random.append(randrange(0,10))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "hELUakyXmFSu"
+   },
+   "source": [
+    "#### Use random numbers you generated as an index and assign NaN value to each of cell of the column alcohol"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "zMgaNnNHmP01"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Count</th>\n",
+       "      <th>Alcohol</th>\n",
+       "      <th>MAlic acid</th>\n",
+       "      <th>Ash</th>\n",
+       "      <th>Alcalinity of ash</th>\n",
+       "      <th>Magnesium</th>\n",
+       "      <th>Total phenols</th>\n",
+       "      <th>Flavanoids</th>\n",
+       "      <th>Nonflavanoid phenols</th>\n",
+       "      <th>Proanthocyanins</th>\n",
+       "      <th>Color intensity</th>\n",
+       "      <th>Hue</th>\n",
+       "      <th>OD280/OD315 OF diluted wines</th>\n",
+       "      <th>Proline</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2.59</td>\n",
+       "      <td>2.87</td>\n",
+       "      <td>21.0</td>\n",
+       "      <td>118.0</td>\n",
+       "      <td>2.80</td>\n",
+       "      <td>2.69</td>\n",
+       "      <td>0.39</td>\n",
+       "      <td>1.82</td>\n",
+       "      <td>4.32</td>\n",
+       "      <td>1.04</td>\n",
+       "      <td>2.93</td>\n",
+       "      <td>735.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.76</td>\n",
+       "      <td>2.45</td>\n",
+       "      <td>15.2</td>\n",
+       "      <td>112.0</td>\n",
+       "      <td>3.27</td>\n",
+       "      <td>3.39</td>\n",
+       "      <td>0.34</td>\n",
+       "      <td>1.97</td>\n",
+       "      <td>6.75</td>\n",
+       "      <td>1.05</td>\n",
+       "      <td>2.85</td>\n",
+       "      <td>1450.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.87</td>\n",
+       "      <td>2.45</td>\n",
+       "      <td>14.6</td>\n",
+       "      <td>96.0</td>\n",
+       "      <td>2.50</td>\n",
+       "      <td>2.52</td>\n",
+       "      <td>0.30</td>\n",
+       "      <td>1.98</td>\n",
+       "      <td>5.25</td>\n",
+       "      <td>1.02</td>\n",
+       "      <td>3.58</td>\n",
+       "      <td>1290.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>14.06</td>\n",
+       "      <td>2.15</td>\n",
+       "      <td>2.61</td>\n",
+       "      <td>17.6</td>\n",
+       "      <td>121.0</td>\n",
+       "      <td>2.60</td>\n",
+       "      <td>2.51</td>\n",
+       "      <td>0.31</td>\n",
+       "      <td>1.25</td>\n",
+       "      <td>5.05</td>\n",
+       "      <td>1.06</td>\n",
+       "      <td>3.58</td>\n",
+       "      <td>1295.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>14.83</td>\n",
+       "      <td>1.64</td>\n",
+       "      <td>2.17</td>\n",
+       "      <td>14.0</td>\n",
+       "      <td>97.0</td>\n",
+       "      <td>2.80</td>\n",
+       "      <td>2.98</td>\n",
+       "      <td>0.29</td>\n",
+       "      <td>1.98</td>\n",
+       "      <td>5.20</td>\n",
+       "      <td>1.08</td>\n",
+       "      <td>2.85</td>\n",
+       "      <td>1045.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>13.86</td>\n",
+       "      <td>1.35</td>\n",
+       "      <td>2.27</td>\n",
+       "      <td>16.0</td>\n",
+       "      <td>98.0</td>\n",
+       "      <td>2.98</td>\n",
+       "      <td>3.15</td>\n",
+       "      <td>0.22</td>\n",
+       "      <td>1.85</td>\n",
+       "      <td>7.22</td>\n",
+       "      <td>1.01</td>\n",
+       "      <td>3.55</td>\n",
+       "      <td>1045.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2.16</td>\n",
+       "      <td>2.30</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>105.0</td>\n",
+       "      <td>2.95</td>\n",
+       "      <td>3.32</td>\n",
+       "      <td>0.22</td>\n",
+       "      <td>2.38</td>\n",
+       "      <td>5.75</td>\n",
+       "      <td>1.25</td>\n",
+       "      <td>3.17</td>\n",
+       "      <td>1510.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Count  Alcohol  MAlic acid   Ash  Alcalinity of ash  Magnesium  \\\n",
+       "0    NaN      NaN         NaN   NaN                NaN        NaN   \n",
+       "1    NaN      NaN         NaN   NaN                NaN        NaN   \n",
+       "2    NaN      NaN         NaN   NaN                NaN        NaN   \n",
+       "3    1.0      NaN        2.59  2.87               21.0      118.0   \n",
+       "4    1.0      NaN        1.76  2.45               15.2      112.0   \n",
+       "5    1.0      NaN        1.87  2.45               14.6       96.0   \n",
+       "6    1.0    14.06        2.15  2.61               17.6      121.0   \n",
+       "7    1.0    14.83        1.64  2.17               14.0       97.0   \n",
+       "8    1.0    13.86        1.35  2.27               16.0       98.0   \n",
+       "9    1.0      NaN        2.16  2.30               18.0      105.0   \n",
+       "\n",
+       "   Total phenols  Flavanoids  Nonflavanoid phenols  Proanthocyanins  \\\n",
+       "0            NaN         NaN                   NaN              NaN   \n",
+       "1            NaN         NaN                   NaN              NaN   \n",
+       "2            NaN         NaN                   NaN              NaN   \n",
+       "3           2.80        2.69                  0.39             1.82   \n",
+       "4           3.27        3.39                  0.34             1.97   \n",
+       "5           2.50        2.52                  0.30             1.98   \n",
+       "6           2.60        2.51                  0.31             1.25   \n",
+       "7           2.80        2.98                  0.29             1.98   \n",
+       "8           2.98        3.15                  0.22             1.85   \n",
+       "9           2.95        3.32                  0.22             2.38   \n",
+       "\n",
+       "   Color intensity   Hue  OD280/OD315 OF diluted wines  Proline  \n",
+       "0              NaN   NaN                           NaN      NaN  \n",
+       "1              NaN   NaN                           NaN      NaN  \n",
+       "2              NaN   NaN                           NaN      NaN  \n",
+       "3             4.32  1.04                          2.93    735.0  \n",
+       "4             6.75  1.05                          2.85   1450.0  \n",
+       "5             5.25  1.02                          3.58   1290.0  \n",
+       "6             5.05  1.06                          3.58   1295.0  \n",
+       "7             5.20  1.08                          2.85   1045.0  \n",
+       "8             7.22  1.01                          3.55   1045.0  \n",
+       "9             5.75  1.25                          3.17   1510.0  "
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "wine_df.loc[random,'Alcohol']=np.nan\n",
+    "wine_df.head(10)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "PHyK_vRsmRwV"
+   },
+   "source": [
+    "####  How many missing values do we have? \n",
+    "\n",
+    "Hint: you can use isnull() and sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "EnOYhmEqmfKp"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "46"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "wine_df.isnull()\n",
+    "wine_df.isnull().sum().sum()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "-Fd4WBklmf1_"
+   },
+   "source": [
+    "#### Delete the rows that contain missing values "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "As7IC6Ktms8-"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Count</th>\n",
+       "      <th>Alcohol</th>\n",
+       "      <th>MAlic acid</th>\n",
+       "      <th>Ash</th>\n",
+       "      <th>Alcalinity of ash</th>\n",
+       "      <th>Magnesium</th>\n",
+       "      <th>Total phenols</th>\n",
+       "      <th>Flavanoids</th>\n",
+       "      <th>Nonflavanoid phenols</th>\n",
+       "      <th>Proanthocyanins</th>\n",
+       "      <th>Color intensity</th>\n",
+       "      <th>Hue</th>\n",
+       "      <th>OD280/OD315 OF diluted wines</th>\n",
+       "      <th>Proline</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>14.06</td>\n",
+       "      <td>2.15</td>\n",
+       "      <td>2.61</td>\n",
+       "      <td>17.6</td>\n",
+       "      <td>121.0</td>\n",
+       "      <td>2.60</td>\n",
+       "      <td>2.51</td>\n",
+       "      <td>0.31</td>\n",
+       "      <td>1.25</td>\n",
+       "      <td>5.050000</td>\n",
+       "      <td>1.06</td>\n",
+       "      <td>3.58</td>\n",
+       "      <td>1295.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>14.83</td>\n",
+       "      <td>1.64</td>\n",
+       "      <td>2.17</td>\n",
+       "      <td>14.0</td>\n",
+       "      <td>97.0</td>\n",
+       "      <td>2.80</td>\n",
+       "      <td>2.98</td>\n",
+       "      <td>0.29</td>\n",
+       "      <td>1.98</td>\n",
+       "      <td>5.200000</td>\n",
+       "      <td>1.08</td>\n",
+       "      <td>2.85</td>\n",
+       "      <td>1045.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>13.86</td>\n",
+       "      <td>1.35</td>\n",
+       "      <td>2.27</td>\n",
+       "      <td>16.0</td>\n",
+       "      <td>98.0</td>\n",
+       "      <td>2.98</td>\n",
+       "      <td>3.15</td>\n",
+       "      <td>0.22</td>\n",
+       "      <td>1.85</td>\n",
+       "      <td>7.220000</td>\n",
+       "      <td>1.01</td>\n",
+       "      <td>3.55</td>\n",
+       "      <td>1045.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>14.12</td>\n",
+       "      <td>1.48</td>\n",
+       "      <td>2.32</td>\n",
+       "      <td>16.8</td>\n",
+       "      <td>95.0</td>\n",
+       "      <td>2.20</td>\n",
+       "      <td>2.43</td>\n",
+       "      <td>0.26</td>\n",
+       "      <td>1.57</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>1.17</td>\n",
+       "      <td>2.82</td>\n",
+       "      <td>1280.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>13.75</td>\n",
+       "      <td>1.73</td>\n",
+       "      <td>2.41</td>\n",
+       "      <td>16.0</td>\n",
+       "      <td>89.0</td>\n",
+       "      <td>2.60</td>\n",
+       "      <td>2.76</td>\n",
+       "      <td>0.29</td>\n",
+       "      <td>1.81</td>\n",
+       "      <td>5.600000</td>\n",
+       "      <td>1.15</td>\n",
+       "      <td>2.90</td>\n",
+       "      <td>1320.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>14.75</td>\n",
+       "      <td>1.73</td>\n",
+       "      <td>2.39</td>\n",
+       "      <td>11.4</td>\n",
+       "      <td>91.0</td>\n",
+       "      <td>3.10</td>\n",
+       "      <td>3.69</td>\n",
+       "      <td>0.43</td>\n",
+       "      <td>2.81</td>\n",
+       "      <td>5.400000</td>\n",
+       "      <td>1.25</td>\n",
+       "      <td>2.73</td>\n",
+       "      <td>1150.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>14.38</td>\n",
+       "      <td>1.87</td>\n",
+       "      <td>2.38</td>\n",
+       "      <td>12.0</td>\n",
+       "      <td>102.0</td>\n",
+       "      <td>3.30</td>\n",
+       "      <td>3.64</td>\n",
+       "      <td>0.29</td>\n",
+       "      <td>2.96</td>\n",
+       "      <td>7.500000</td>\n",
+       "      <td>1.20</td>\n",
+       "      <td>3.00</td>\n",
+       "      <td>1547.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>13.63</td>\n",
+       "      <td>1.81</td>\n",
+       "      <td>2.70</td>\n",
+       "      <td>17.2</td>\n",
+       "      <td>112.0</td>\n",
+       "      <td>2.85</td>\n",
+       "      <td>2.91</td>\n",
+       "      <td>0.30</td>\n",
+       "      <td>1.46</td>\n",
+       "      <td>7.300000</td>\n",
+       "      <td>1.28</td>\n",
+       "      <td>2.88</td>\n",
+       "      <td>1310.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>14.30</td>\n",
+       "      <td>1.92</td>\n",
+       "      <td>2.72</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>120.0</td>\n",
+       "      <td>2.80</td>\n",
+       "      <td>3.14</td>\n",
+       "      <td>0.33</td>\n",
+       "      <td>1.97</td>\n",
+       "      <td>6.200000</td>\n",
+       "      <td>1.07</td>\n",
+       "      <td>2.65</td>\n",
+       "      <td>1280.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>13.83</td>\n",
+       "      <td>1.57</td>\n",
+       "      <td>2.62</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>115.0</td>\n",
+       "      <td>2.95</td>\n",
+       "      <td>3.40</td>\n",
+       "      <td>0.40</td>\n",
+       "      <td>1.72</td>\n",
+       "      <td>6.600000</td>\n",
+       "      <td>1.13</td>\n",
+       "      <td>2.57</td>\n",
+       "      <td>1130.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>14.19</td>\n",
+       "      <td>1.59</td>\n",
+       "      <td>2.48</td>\n",
+       "      <td>16.5</td>\n",
+       "      <td>108.0</td>\n",
+       "      <td>3.30</td>\n",
+       "      <td>3.93</td>\n",
+       "      <td>0.32</td>\n",
+       "      <td>1.86</td>\n",
+       "      <td>8.700000</td>\n",
+       "      <td>1.23</td>\n",
+       "      <td>2.82</td>\n",
+       "      <td>1680.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>13.64</td>\n",
+       "      <td>3.10</td>\n",
+       "      <td>2.56</td>\n",
+       "      <td>15.2</td>\n",
+       "      <td>116.0</td>\n",
+       "      <td>2.70</td>\n",
+       "      <td>3.03</td>\n",
+       "      <td>0.17</td>\n",
+       "      <td>1.66</td>\n",
+       "      <td>5.100000</td>\n",
+       "      <td>0.96</td>\n",
+       "      <td>3.36</td>\n",
+       "      <td>845.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>14.06</td>\n",
+       "      <td>1.63</td>\n",
+       "      <td>2.28</td>\n",
+       "      <td>16.0</td>\n",
+       "      <td>126.0</td>\n",
+       "      <td>3.00</td>\n",
+       "      <td>3.17</td>\n",
+       "      <td>0.24</td>\n",
+       "      <td>2.10</td>\n",
+       "      <td>5.650000</td>\n",
+       "      <td>1.09</td>\n",
+       "      <td>3.71</td>\n",
+       "      <td>780.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>12.93</td>\n",
+       "      <td>3.80</td>\n",
+       "      <td>2.65</td>\n",
+       "      <td>18.6</td>\n",
+       "      <td>102.0</td>\n",
+       "      <td>2.41</td>\n",
+       "      <td>2.41</td>\n",
+       "      <td>0.25</td>\n",
+       "      <td>1.98</td>\n",
+       "      <td>4.500000</td>\n",
+       "      <td>1.03</td>\n",
+       "      <td>3.52</td>\n",
+       "      <td>770.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>13.71</td>\n",
+       "      <td>1.86</td>\n",
+       "      <td>2.36</td>\n",
+       "      <td>16.6</td>\n",
+       "      <td>101.0</td>\n",
+       "      <td>2.61</td>\n",
+       "      <td>2.88</td>\n",
+       "      <td>0.27</td>\n",
+       "      <td>1.69</td>\n",
+       "      <td>3.800000</td>\n",
+       "      <td>1.11</td>\n",
+       "      <td>4.00</td>\n",
+       "      <td>1035.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>12.85</td>\n",
+       "      <td>1.60</td>\n",
+       "      <td>2.52</td>\n",
+       "      <td>17.8</td>\n",
+       "      <td>95.0</td>\n",
+       "      <td>2.48</td>\n",
+       "      <td>2.37</td>\n",
+       "      <td>0.26</td>\n",
+       "      <td>1.46</td>\n",
+       "      <td>3.930000</td>\n",
+       "      <td>1.09</td>\n",
+       "      <td>3.63</td>\n",
+       "      <td>1015.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>13.50</td>\n",
+       "      <td>1.81</td>\n",
+       "      <td>2.61</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>96.0</td>\n",
+       "      <td>2.53</td>\n",
+       "      <td>2.61</td>\n",
+       "      <td>0.28</td>\n",
+       "      <td>1.66</td>\n",
+       "      <td>3.520000</td>\n",
+       "      <td>1.12</td>\n",
+       "      <td>3.82</td>\n",
+       "      <td>845.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>13.05</td>\n",
+       "      <td>2.05</td>\n",
+       "      <td>3.22</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>124.0</td>\n",
+       "      <td>2.63</td>\n",
+       "      <td>2.68</td>\n",
+       "      <td>0.47</td>\n",
+       "      <td>1.92</td>\n",
+       "      <td>3.580000</td>\n",
+       "      <td>1.13</td>\n",
+       "      <td>3.20</td>\n",
+       "      <td>830.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>13.39</td>\n",
+       "      <td>1.77</td>\n",
+       "      <td>2.62</td>\n",
+       "      <td>16.1</td>\n",
+       "      <td>93.0</td>\n",
+       "      <td>2.85</td>\n",
+       "      <td>2.94</td>\n",
+       "      <td>0.34</td>\n",
+       "      <td>1.45</td>\n",
+       "      <td>4.800000</td>\n",
+       "      <td>0.92</td>\n",
+       "      <td>3.22</td>\n",
+       "      <td>1195.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>13.30</td>\n",
+       "      <td>1.72</td>\n",
+       "      <td>2.14</td>\n",
+       "      <td>17.0</td>\n",
+       "      <td>94.0</td>\n",
+       "      <td>2.40</td>\n",
+       "      <td>2.19</td>\n",
+       "      <td>0.27</td>\n",
+       "      <td>1.35</td>\n",
+       "      <td>3.950000</td>\n",
+       "      <td>1.02</td>\n",
+       "      <td>2.77</td>\n",
+       "      <td>1285.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>13.87</td>\n",
+       "      <td>1.90</td>\n",
+       "      <td>2.80</td>\n",
+       "      <td>19.4</td>\n",
+       "      <td>107.0</td>\n",
+       "      <td>2.95</td>\n",
+       "      <td>2.97</td>\n",
+       "      <td>0.37</td>\n",
+       "      <td>1.76</td>\n",
+       "      <td>4.500000</td>\n",
+       "      <td>1.25</td>\n",
+       "      <td>3.40</td>\n",
+       "      <td>915.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>14.02</td>\n",
+       "      <td>1.68</td>\n",
+       "      <td>2.21</td>\n",
+       "      <td>16.0</td>\n",
+       "      <td>96.0</td>\n",
+       "      <td>2.65</td>\n",
+       "      <td>2.33</td>\n",
+       "      <td>0.26</td>\n",
+       "      <td>1.98</td>\n",
+       "      <td>4.700000</td>\n",
+       "      <td>1.04</td>\n",
+       "      <td>3.59</td>\n",
+       "      <td>1035.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>13.73</td>\n",
+       "      <td>1.50</td>\n",
+       "      <td>2.70</td>\n",
+       "      <td>22.5</td>\n",
+       "      <td>101.0</td>\n",
+       "      <td>3.00</td>\n",
+       "      <td>3.25</td>\n",
+       "      <td>0.29</td>\n",
+       "      <td>2.38</td>\n",
+       "      <td>5.700000</td>\n",
+       "      <td>1.19</td>\n",
+       "      <td>2.71</td>\n",
+       "      <td>1285.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>30</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>13.58</td>\n",
+       "      <td>1.66</td>\n",
+       "      <td>2.36</td>\n",
+       "      <td>19.1</td>\n",
+       "      <td>106.0</td>\n",
+       "      <td>2.86</td>\n",
+       "      <td>3.19</td>\n",
+       "      <td>0.22</td>\n",
+       "      <td>1.95</td>\n",
+       "      <td>6.900000</td>\n",
+       "      <td>1.09</td>\n",
+       "      <td>2.88</td>\n",
+       "      <td>1515.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>31</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>13.68</td>\n",
+       "      <td>1.83</td>\n",
+       "      <td>2.36</td>\n",
+       "      <td>17.2</td>\n",
+       "      <td>104.0</td>\n",
+       "      <td>2.42</td>\n",
+       "      <td>2.69</td>\n",
+       "      <td>0.42</td>\n",
+       "      <td>1.97</td>\n",
+       "      <td>3.840000</td>\n",
+       "      <td>1.23</td>\n",
+       "      <td>2.87</td>\n",
+       "      <td>990.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>13.76</td>\n",
+       "      <td>1.53</td>\n",
+       "      <td>2.70</td>\n",
+       "      <td>19.5</td>\n",
+       "      <td>132.0</td>\n",
+       "      <td>2.95</td>\n",
+       "      <td>2.74</td>\n",
+       "      <td>0.50</td>\n",
+       "      <td>1.35</td>\n",
+       "      <td>5.400000</td>\n",
+       "      <td>1.25</td>\n",
+       "      <td>3.00</td>\n",
+       "      <td>1235.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>33</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>13.51</td>\n",
+       "      <td>1.80</td>\n",
+       "      <td>2.65</td>\n",
+       "      <td>19.0</td>\n",
+       "      <td>110.0</td>\n",
+       "      <td>2.35</td>\n",
+       "      <td>2.53</td>\n",
+       "      <td>0.29</td>\n",
+       "      <td>1.54</td>\n",
+       "      <td>4.200000</td>\n",
+       "      <td>1.10</td>\n",
+       "      <td>2.87</td>\n",
+       "      <td>1095.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>34</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>13.48</td>\n",
+       "      <td>1.81</td>\n",
+       "      <td>2.41</td>\n",
+       "      <td>20.5</td>\n",
+       "      <td>100.0</td>\n",
+       "      <td>2.70</td>\n",
+       "      <td>2.98</td>\n",
+       "      <td>0.26</td>\n",
+       "      <td>1.86</td>\n",
+       "      <td>5.100000</td>\n",
+       "      <td>1.04</td>\n",
+       "      <td>3.47</td>\n",
+       "      <td>920.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>35</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>13.28</td>\n",
+       "      <td>1.64</td>\n",
+       "      <td>2.84</td>\n",
+       "      <td>15.5</td>\n",
+       "      <td>110.0</td>\n",
+       "      <td>2.60</td>\n",
+       "      <td>2.68</td>\n",
+       "      <td>0.34</td>\n",
+       "      <td>1.36</td>\n",
+       "      <td>4.600000</td>\n",
+       "      <td>1.09</td>\n",
+       "      <td>2.78</td>\n",
+       "      <td>880.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>36</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>13.05</td>\n",
+       "      <td>1.65</td>\n",
+       "      <td>2.55</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>98.0</td>\n",
+       "      <td>2.45</td>\n",
+       "      <td>2.43</td>\n",
+       "      <td>0.29</td>\n",
+       "      <td>1.44</td>\n",
+       "      <td>4.250000</td>\n",
+       "      <td>1.12</td>\n",
+       "      <td>2.51</td>\n",
+       "      <td>1105.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>147</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>13.32</td>\n",
+       "      <td>3.24</td>\n",
+       "      <td>2.38</td>\n",
+       "      <td>21.5</td>\n",
+       "      <td>92.0</td>\n",
+       "      <td>1.93</td>\n",
+       "      <td>0.76</td>\n",
+       "      <td>0.45</td>\n",
+       "      <td>1.25</td>\n",
+       "      <td>8.420000</td>\n",
+       "      <td>0.55</td>\n",
+       "      <td>1.62</td>\n",
+       "      <td>650.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>148</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>13.08</td>\n",
+       "      <td>3.90</td>\n",
+       "      <td>2.36</td>\n",
+       "      <td>21.5</td>\n",
+       "      <td>113.0</td>\n",
+       "      <td>1.41</td>\n",
+       "      <td>1.39</td>\n",
+       "      <td>0.34</td>\n",
+       "      <td>1.14</td>\n",
+       "      <td>9.400000</td>\n",
+       "      <td>0.57</td>\n",
+       "      <td>1.33</td>\n",
+       "      <td>550.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>149</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>13.50</td>\n",
+       "      <td>3.12</td>\n",
+       "      <td>2.62</td>\n",
+       "      <td>24.0</td>\n",
+       "      <td>123.0</td>\n",
+       "      <td>1.40</td>\n",
+       "      <td>1.57</td>\n",
+       "      <td>0.22</td>\n",
+       "      <td>1.25</td>\n",
+       "      <td>8.600000</td>\n",
+       "      <td>0.59</td>\n",
+       "      <td>1.30</td>\n",
+       "      <td>500.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>150</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>12.79</td>\n",
+       "      <td>2.67</td>\n",
+       "      <td>2.48</td>\n",
+       "      <td>22.0</td>\n",
+       "      <td>112.0</td>\n",
+       "      <td>1.48</td>\n",
+       "      <td>1.36</td>\n",
+       "      <td>0.24</td>\n",
+       "      <td>1.26</td>\n",
+       "      <td>10.800000</td>\n",
+       "      <td>0.48</td>\n",
+       "      <td>1.47</td>\n",
+       "      <td>480.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>151</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>13.11</td>\n",
+       "      <td>1.90</td>\n",
+       "      <td>2.75</td>\n",
+       "      <td>25.5</td>\n",
+       "      <td>116.0</td>\n",
+       "      <td>2.20</td>\n",
+       "      <td>1.28</td>\n",
+       "      <td>0.26</td>\n",
+       "      <td>1.56</td>\n",
+       "      <td>7.100000</td>\n",
+       "      <td>0.61</td>\n",
+       "      <td>1.33</td>\n",
+       "      <td>425.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>152</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>13.23</td>\n",
+       "      <td>3.30</td>\n",
+       "      <td>2.28</td>\n",
+       "      <td>18.5</td>\n",
+       "      <td>98.0</td>\n",
+       "      <td>1.80</td>\n",
+       "      <td>0.83</td>\n",
+       "      <td>0.61</td>\n",
+       "      <td>1.87</td>\n",
+       "      <td>10.520000</td>\n",
+       "      <td>0.56</td>\n",
+       "      <td>1.51</td>\n",
+       "      <td>675.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>153</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>12.58</td>\n",
+       "      <td>1.29</td>\n",
+       "      <td>2.10</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>103.0</td>\n",
+       "      <td>1.48</td>\n",
+       "      <td>0.58</td>\n",
+       "      <td>0.53</td>\n",
+       "      <td>1.40</td>\n",
+       "      <td>7.600000</td>\n",
+       "      <td>0.58</td>\n",
+       "      <td>1.55</td>\n",
+       "      <td>640.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>154</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>13.17</td>\n",
+       "      <td>5.19</td>\n",
+       "      <td>2.32</td>\n",
+       "      <td>22.0</td>\n",
+       "      <td>93.0</td>\n",
+       "      <td>1.74</td>\n",
+       "      <td>0.63</td>\n",
+       "      <td>0.61</td>\n",
+       "      <td>1.55</td>\n",
+       "      <td>7.900000</td>\n",
+       "      <td>0.60</td>\n",
+       "      <td>1.48</td>\n",
+       "      <td>725.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>155</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>13.84</td>\n",
+       "      <td>4.12</td>\n",
+       "      <td>2.38</td>\n",
+       "      <td>19.5</td>\n",
+       "      <td>89.0</td>\n",
+       "      <td>1.80</td>\n",
+       "      <td>0.83</td>\n",
+       "      <td>0.48</td>\n",
+       "      <td>1.56</td>\n",
+       "      <td>9.010000</td>\n",
+       "      <td>0.57</td>\n",
+       "      <td>1.64</td>\n",
+       "      <td>480.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>156</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>12.45</td>\n",
+       "      <td>3.03</td>\n",
+       "      <td>2.64</td>\n",
+       "      <td>27.0</td>\n",
+       "      <td>97.0</td>\n",
+       "      <td>1.90</td>\n",
+       "      <td>0.58</td>\n",
+       "      <td>0.63</td>\n",
+       "      <td>1.14</td>\n",
+       "      <td>7.500000</td>\n",
+       "      <td>0.67</td>\n",
+       "      <td>1.73</td>\n",
+       "      <td>880.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>157</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>14.34</td>\n",
+       "      <td>1.68</td>\n",
+       "      <td>2.70</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>98.0</td>\n",
+       "      <td>2.80</td>\n",
+       "      <td>1.31</td>\n",
+       "      <td>0.53</td>\n",
+       "      <td>2.70</td>\n",
+       "      <td>13.000000</td>\n",
+       "      <td>0.57</td>\n",
+       "      <td>1.96</td>\n",
+       "      <td>660.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>158</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>13.48</td>\n",
+       "      <td>1.67</td>\n",
+       "      <td>2.64</td>\n",
+       "      <td>22.5</td>\n",
+       "      <td>89.0</td>\n",
+       "      <td>2.60</td>\n",
+       "      <td>1.10</td>\n",
+       "      <td>0.52</td>\n",
+       "      <td>2.29</td>\n",
+       "      <td>11.750000</td>\n",
+       "      <td>0.57</td>\n",
+       "      <td>1.78</td>\n",
+       "      <td>620.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>159</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>12.36</td>\n",
+       "      <td>3.83</td>\n",
+       "      <td>2.38</td>\n",
+       "      <td>21.0</td>\n",
+       "      <td>88.0</td>\n",
+       "      <td>2.30</td>\n",
+       "      <td>0.92</td>\n",
+       "      <td>0.50</td>\n",
+       "      <td>1.04</td>\n",
+       "      <td>7.650000</td>\n",
+       "      <td>0.56</td>\n",
+       "      <td>1.58</td>\n",
+       "      <td>520.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>160</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>13.69</td>\n",
+       "      <td>3.26</td>\n",
+       "      <td>2.54</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>107.0</td>\n",
+       "      <td>1.83</td>\n",
+       "      <td>0.56</td>\n",
+       "      <td>0.50</td>\n",
+       "      <td>0.80</td>\n",
+       "      <td>5.880000</td>\n",
+       "      <td>0.96</td>\n",
+       "      <td>1.82</td>\n",
+       "      <td>680.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>161</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>12.85</td>\n",
+       "      <td>3.27</td>\n",
+       "      <td>2.58</td>\n",
+       "      <td>22.0</td>\n",
+       "      <td>106.0</td>\n",
+       "      <td>1.65</td>\n",
+       "      <td>0.60</td>\n",
+       "      <td>0.60</td>\n",
+       "      <td>0.96</td>\n",
+       "      <td>5.580000</td>\n",
+       "      <td>0.87</td>\n",
+       "      <td>2.11</td>\n",
+       "      <td>570.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>162</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>12.96</td>\n",
+       "      <td>3.45</td>\n",
+       "      <td>2.35</td>\n",
+       "      <td>18.5</td>\n",
+       "      <td>106.0</td>\n",
+       "      <td>1.39</td>\n",
+       "      <td>0.70</td>\n",
+       "      <td>0.40</td>\n",
+       "      <td>0.94</td>\n",
+       "      <td>5.280000</td>\n",
+       "      <td>0.68</td>\n",
+       "      <td>1.75</td>\n",
+       "      <td>675.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>163</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>13.78</td>\n",
+       "      <td>2.76</td>\n",
+       "      <td>2.30</td>\n",
+       "      <td>22.0</td>\n",
+       "      <td>90.0</td>\n",
+       "      <td>1.35</td>\n",
+       "      <td>0.68</td>\n",
+       "      <td>0.41</td>\n",
+       "      <td>1.03</td>\n",
+       "      <td>9.580000</td>\n",
+       "      <td>0.70</td>\n",
+       "      <td>1.68</td>\n",
+       "      <td>615.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>164</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>13.73</td>\n",
+       "      <td>4.36</td>\n",
+       "      <td>2.26</td>\n",
+       "      <td>22.5</td>\n",
+       "      <td>88.0</td>\n",
+       "      <td>1.28</td>\n",
+       "      <td>0.47</td>\n",
+       "      <td>0.52</td>\n",
+       "      <td>1.15</td>\n",
+       "      <td>6.620000</td>\n",
+       "      <td>0.78</td>\n",
+       "      <td>1.75</td>\n",
+       "      <td>520.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>165</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>13.45</td>\n",
+       "      <td>3.70</td>\n",
+       "      <td>2.60</td>\n",
+       "      <td>23.0</td>\n",
+       "      <td>111.0</td>\n",
+       "      <td>1.70</td>\n",
+       "      <td>0.92</td>\n",
+       "      <td>0.43</td>\n",
+       "      <td>1.46</td>\n",
+       "      <td>10.680000</td>\n",
+       "      <td>0.85</td>\n",
+       "      <td>1.56</td>\n",
+       "      <td>695.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>166</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>12.82</td>\n",
+       "      <td>3.37</td>\n",
+       "      <td>2.30</td>\n",
+       "      <td>19.5</td>\n",
+       "      <td>88.0</td>\n",
+       "      <td>1.48</td>\n",
+       "      <td>0.66</td>\n",
+       "      <td>0.40</td>\n",
+       "      <td>0.97</td>\n",
+       "      <td>10.260000</td>\n",
+       "      <td>0.72</td>\n",
+       "      <td>1.75</td>\n",
+       "      <td>685.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>167</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>13.58</td>\n",
+       "      <td>2.58</td>\n",
+       "      <td>2.69</td>\n",
+       "      <td>24.5</td>\n",
+       "      <td>105.0</td>\n",
+       "      <td>1.55</td>\n",
+       "      <td>0.84</td>\n",
+       "      <td>0.39</td>\n",
+       "      <td>1.54</td>\n",
+       "      <td>8.660000</td>\n",
+       "      <td>0.74</td>\n",
+       "      <td>1.80</td>\n",
+       "      <td>750.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>168</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>13.40</td>\n",
+       "      <td>4.60</td>\n",
+       "      <td>2.86</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>112.0</td>\n",
+       "      <td>1.98</td>\n",
+       "      <td>0.96</td>\n",
+       "      <td>0.27</td>\n",
+       "      <td>1.11</td>\n",
+       "      <td>8.500000</td>\n",
+       "      <td>0.67</td>\n",
+       "      <td>1.92</td>\n",
+       "      <td>630.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>169</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>12.20</td>\n",
+       "      <td>3.03</td>\n",
+       "      <td>2.32</td>\n",
+       "      <td>19.0</td>\n",
+       "      <td>96.0</td>\n",
+       "      <td>1.25</td>\n",
+       "      <td>0.49</td>\n",
+       "      <td>0.40</td>\n",
+       "      <td>0.73</td>\n",
+       "      <td>5.500000</td>\n",
+       "      <td>0.66</td>\n",
+       "      <td>1.83</td>\n",
+       "      <td>510.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>170</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>12.77</td>\n",
+       "      <td>2.39</td>\n",
+       "      <td>2.28</td>\n",
+       "      <td>19.5</td>\n",
+       "      <td>86.0</td>\n",
+       "      <td>1.39</td>\n",
+       "      <td>0.51</td>\n",
+       "      <td>0.48</td>\n",
+       "      <td>0.64</td>\n",
+       "      <td>9.899999</td>\n",
+       "      <td>0.57</td>\n",
+       "      <td>1.63</td>\n",
+       "      <td>470.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>171</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>14.16</td>\n",
+       "      <td>2.51</td>\n",
+       "      <td>2.48</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>91.0</td>\n",
+       "      <td>1.68</td>\n",
+       "      <td>0.70</td>\n",
+       "      <td>0.44</td>\n",
+       "      <td>1.24</td>\n",
+       "      <td>9.700000</td>\n",
+       "      <td>0.62</td>\n",
+       "      <td>1.71</td>\n",
+       "      <td>660.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>172</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>13.71</td>\n",
+       "      <td>5.65</td>\n",
+       "      <td>2.45</td>\n",
+       "      <td>20.5</td>\n",
+       "      <td>95.0</td>\n",
+       "      <td>1.68</td>\n",
+       "      <td>0.61</td>\n",
+       "      <td>0.52</td>\n",
+       "      <td>1.06</td>\n",
+       "      <td>7.700000</td>\n",
+       "      <td>0.64</td>\n",
+       "      <td>1.74</td>\n",
+       "      <td>740.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>173</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>13.40</td>\n",
+       "      <td>3.91</td>\n",
+       "      <td>2.48</td>\n",
+       "      <td>23.0</td>\n",
+       "      <td>102.0</td>\n",
+       "      <td>1.80</td>\n",
+       "      <td>0.75</td>\n",
+       "      <td>0.43</td>\n",
+       "      <td>1.41</td>\n",
+       "      <td>7.300000</td>\n",
+       "      <td>0.70</td>\n",
+       "      <td>1.56</td>\n",
+       "      <td>750.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>174</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>13.27</td>\n",
+       "      <td>4.28</td>\n",
+       "      <td>2.26</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>120.0</td>\n",
+       "      <td>1.59</td>\n",
+       "      <td>0.69</td>\n",
+       "      <td>0.43</td>\n",
+       "      <td>1.35</td>\n",
+       "      <td>10.200000</td>\n",
+       "      <td>0.59</td>\n",
+       "      <td>1.56</td>\n",
+       "      <td>835.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>175</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>13.17</td>\n",
+       "      <td>2.59</td>\n",
+       "      <td>2.37</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>120.0</td>\n",
+       "      <td>1.65</td>\n",
+       "      <td>0.68</td>\n",
+       "      <td>0.53</td>\n",
+       "      <td>1.46</td>\n",
+       "      <td>9.300000</td>\n",
+       "      <td>0.60</td>\n",
+       "      <td>1.62</td>\n",
+       "      <td>840.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>176</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>14.13</td>\n",
+       "      <td>4.10</td>\n",
+       "      <td>2.74</td>\n",
+       "      <td>24.5</td>\n",
+       "      <td>96.0</td>\n",
+       "      <td>2.05</td>\n",
+       "      <td>0.76</td>\n",
+       "      <td>0.56</td>\n",
+       "      <td>1.35</td>\n",
+       "      <td>9.200000</td>\n",
+       "      <td>0.61</td>\n",
+       "      <td>1.60</td>\n",
+       "      <td>560.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>170 rows × 14 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     Count  Alcohol  MAlic acid   Ash  Alcalinity of ash  Magnesium  \\\n",
+       "6      1.0    14.06        2.15  2.61               17.6      121.0   \n",
+       "7      1.0    14.83        1.64  2.17               14.0       97.0   \n",
+       "8      1.0    13.86        1.35  2.27               16.0       98.0   \n",
+       "10     1.0    14.12        1.48  2.32               16.8       95.0   \n",
+       "11     1.0    13.75        1.73  2.41               16.0       89.0   \n",
+       "12     1.0    14.75        1.73  2.39               11.4       91.0   \n",
+       "13     1.0    14.38        1.87  2.38               12.0      102.0   \n",
+       "14     1.0    13.63        1.81  2.70               17.2      112.0   \n",
+       "15     1.0    14.30        1.92  2.72               20.0      120.0   \n",
+       "16     1.0    13.83        1.57  2.62               20.0      115.0   \n",
+       "17     1.0    14.19        1.59  2.48               16.5      108.0   \n",
+       "18     1.0    13.64        3.10  2.56               15.2      116.0   \n",
+       "19     1.0    14.06        1.63  2.28               16.0      126.0   \n",
+       "20     1.0    12.93        3.80  2.65               18.6      102.0   \n",
+       "21     1.0    13.71        1.86  2.36               16.6      101.0   \n",
+       "22     1.0    12.85        1.60  2.52               17.8       95.0   \n",
+       "23     1.0    13.50        1.81  2.61               20.0       96.0   \n",
+       "24     1.0    13.05        2.05  3.22               25.0      124.0   \n",
+       "25     1.0    13.39        1.77  2.62               16.1       93.0   \n",
+       "26     1.0    13.30        1.72  2.14               17.0       94.0   \n",
+       "27     1.0    13.87        1.90  2.80               19.4      107.0   \n",
+       "28     1.0    14.02        1.68  2.21               16.0       96.0   \n",
+       "29     1.0    13.73        1.50  2.70               22.5      101.0   \n",
+       "30     1.0    13.58        1.66  2.36               19.1      106.0   \n",
+       "31     1.0    13.68        1.83  2.36               17.2      104.0   \n",
+       "32     1.0    13.76        1.53  2.70               19.5      132.0   \n",
+       "33     1.0    13.51        1.80  2.65               19.0      110.0   \n",
+       "34     1.0    13.48        1.81  2.41               20.5      100.0   \n",
+       "35     1.0    13.28        1.64  2.84               15.5      110.0   \n",
+       "36     1.0    13.05        1.65  2.55               18.0       98.0   \n",
+       "..     ...      ...         ...   ...                ...        ...   \n",
+       "147    3.0    13.32        3.24  2.38               21.5       92.0   \n",
+       "148    3.0    13.08        3.90  2.36               21.5      113.0   \n",
+       "149    3.0    13.50        3.12  2.62               24.0      123.0   \n",
+       "150    3.0    12.79        2.67  2.48               22.0      112.0   \n",
+       "151    3.0    13.11        1.90  2.75               25.5      116.0   \n",
+       "152    3.0    13.23        3.30  2.28               18.5       98.0   \n",
+       "153    3.0    12.58        1.29  2.10               20.0      103.0   \n",
+       "154    3.0    13.17        5.19  2.32               22.0       93.0   \n",
+       "155    3.0    13.84        4.12  2.38               19.5       89.0   \n",
+       "156    3.0    12.45        3.03  2.64               27.0       97.0   \n",
+       "157    3.0    14.34        1.68  2.70               25.0       98.0   \n",
+       "158    3.0    13.48        1.67  2.64               22.5       89.0   \n",
+       "159    3.0    12.36        3.83  2.38               21.0       88.0   \n",
+       "160    3.0    13.69        3.26  2.54               20.0      107.0   \n",
+       "161    3.0    12.85        3.27  2.58               22.0      106.0   \n",
+       "162    3.0    12.96        3.45  2.35               18.5      106.0   \n",
+       "163    3.0    13.78        2.76  2.30               22.0       90.0   \n",
+       "164    3.0    13.73        4.36  2.26               22.5       88.0   \n",
+       "165    3.0    13.45        3.70  2.60               23.0      111.0   \n",
+       "166    3.0    12.82        3.37  2.30               19.5       88.0   \n",
+       "167    3.0    13.58        2.58  2.69               24.5      105.0   \n",
+       "168    3.0    13.40        4.60  2.86               25.0      112.0   \n",
+       "169    3.0    12.20        3.03  2.32               19.0       96.0   \n",
+       "170    3.0    12.77        2.39  2.28               19.5       86.0   \n",
+       "171    3.0    14.16        2.51  2.48               20.0       91.0   \n",
+       "172    3.0    13.71        5.65  2.45               20.5       95.0   \n",
+       "173    3.0    13.40        3.91  2.48               23.0      102.0   \n",
+       "174    3.0    13.27        4.28  2.26               20.0      120.0   \n",
+       "175    3.0    13.17        2.59  2.37               20.0      120.0   \n",
+       "176    3.0    14.13        4.10  2.74               24.5       96.0   \n",
+       "\n",
+       "     Total phenols  Flavanoids  Nonflavanoid phenols  Proanthocyanins  \\\n",
+       "6             2.60        2.51                  0.31             1.25   \n",
+       "7             2.80        2.98                  0.29             1.98   \n",
+       "8             2.98        3.15                  0.22             1.85   \n",
+       "10            2.20        2.43                  0.26             1.57   \n",
+       "11            2.60        2.76                  0.29             1.81   \n",
+       "12            3.10        3.69                  0.43             2.81   \n",
+       "13            3.30        3.64                  0.29             2.96   \n",
+       "14            2.85        2.91                  0.30             1.46   \n",
+       "15            2.80        3.14                  0.33             1.97   \n",
+       "16            2.95        3.40                  0.40             1.72   \n",
+       "17            3.30        3.93                  0.32             1.86   \n",
+       "18            2.70        3.03                  0.17             1.66   \n",
+       "19            3.00        3.17                  0.24             2.10   \n",
+       "20            2.41        2.41                  0.25             1.98   \n",
+       "21            2.61        2.88                  0.27             1.69   \n",
+       "22            2.48        2.37                  0.26             1.46   \n",
+       "23            2.53        2.61                  0.28             1.66   \n",
+       "24            2.63        2.68                  0.47             1.92   \n",
+       "25            2.85        2.94                  0.34             1.45   \n",
+       "26            2.40        2.19                  0.27             1.35   \n",
+       "27            2.95        2.97                  0.37             1.76   \n",
+       "28            2.65        2.33                  0.26             1.98   \n",
+       "29            3.00        3.25                  0.29             2.38   \n",
+       "30            2.86        3.19                  0.22             1.95   \n",
+       "31            2.42        2.69                  0.42             1.97   \n",
+       "32            2.95        2.74                  0.50             1.35   \n",
+       "33            2.35        2.53                  0.29             1.54   \n",
+       "34            2.70        2.98                  0.26             1.86   \n",
+       "35            2.60        2.68                  0.34             1.36   \n",
+       "36            2.45        2.43                  0.29             1.44   \n",
+       "..             ...         ...                   ...              ...   \n",
+       "147           1.93        0.76                  0.45             1.25   \n",
+       "148           1.41        1.39                  0.34             1.14   \n",
+       "149           1.40        1.57                  0.22             1.25   \n",
+       "150           1.48        1.36                  0.24             1.26   \n",
+       "151           2.20        1.28                  0.26             1.56   \n",
+       "152           1.80        0.83                  0.61             1.87   \n",
+       "153           1.48        0.58                  0.53             1.40   \n",
+       "154           1.74        0.63                  0.61             1.55   \n",
+       "155           1.80        0.83                  0.48             1.56   \n",
+       "156           1.90        0.58                  0.63             1.14   \n",
+       "157           2.80        1.31                  0.53             2.70   \n",
+       "158           2.60        1.10                  0.52             2.29   \n",
+       "159           2.30        0.92                  0.50             1.04   \n",
+       "160           1.83        0.56                  0.50             0.80   \n",
+       "161           1.65        0.60                  0.60             0.96   \n",
+       "162           1.39        0.70                  0.40             0.94   \n",
+       "163           1.35        0.68                  0.41             1.03   \n",
+       "164           1.28        0.47                  0.52             1.15   \n",
+       "165           1.70        0.92                  0.43             1.46   \n",
+       "166           1.48        0.66                  0.40             0.97   \n",
+       "167           1.55        0.84                  0.39             1.54   \n",
+       "168           1.98        0.96                  0.27             1.11   \n",
+       "169           1.25        0.49                  0.40             0.73   \n",
+       "170           1.39        0.51                  0.48             0.64   \n",
+       "171           1.68        0.70                  0.44             1.24   \n",
+       "172           1.68        0.61                  0.52             1.06   \n",
+       "173           1.80        0.75                  0.43             1.41   \n",
+       "174           1.59        0.69                  0.43             1.35   \n",
+       "175           1.65        0.68                  0.53             1.46   \n",
+       "176           2.05        0.76                  0.56             1.35   \n",
+       "\n",
+       "     Color intensity   Hue  OD280/OD315 OF diluted wines  Proline  \n",
+       "6           5.050000  1.06                          3.58   1295.0  \n",
+       "7           5.200000  1.08                          2.85   1045.0  \n",
+       "8           7.220000  1.01                          3.55   1045.0  \n",
+       "10          5.000000  1.17                          2.82   1280.0  \n",
+       "11          5.600000  1.15                          2.90   1320.0  \n",
+       "12          5.400000  1.25                          2.73   1150.0  \n",
+       "13          7.500000  1.20                          3.00   1547.0  \n",
+       "14          7.300000  1.28                          2.88   1310.0  \n",
+       "15          6.200000  1.07                          2.65   1280.0  \n",
+       "16          6.600000  1.13                          2.57   1130.0  \n",
+       "17          8.700000  1.23                          2.82   1680.0  \n",
+       "18          5.100000  0.96                          3.36    845.0  \n",
+       "19          5.650000  1.09                          3.71    780.0  \n",
+       "20          4.500000  1.03                          3.52    770.0  \n",
+       "21          3.800000  1.11                          4.00   1035.0  \n",
+       "22          3.930000  1.09                          3.63   1015.0  \n",
+       "23          3.520000  1.12                          3.82    845.0  \n",
+       "24          3.580000  1.13                          3.20    830.0  \n",
+       "25          4.800000  0.92                          3.22   1195.0  \n",
+       "26          3.950000  1.02                          2.77   1285.0  \n",
+       "27          4.500000  1.25                          3.40    915.0  \n",
+       "28          4.700000  1.04                          3.59   1035.0  \n",
+       "29          5.700000  1.19                          2.71   1285.0  \n",
+       "30          6.900000  1.09                          2.88   1515.0  \n",
+       "31          3.840000  1.23                          2.87    990.0  \n",
+       "32          5.400000  1.25                          3.00   1235.0  \n",
+       "33          4.200000  1.10                          2.87   1095.0  \n",
+       "34          5.100000  1.04                          3.47    920.0  \n",
+       "35          4.600000  1.09                          2.78    880.0  \n",
+       "36          4.250000  1.12                          2.51   1105.0  \n",
+       "..               ...   ...                           ...      ...  \n",
+       "147         8.420000  0.55                          1.62    650.0  \n",
+       "148         9.400000  0.57                          1.33    550.0  \n",
+       "149         8.600000  0.59                          1.30    500.0  \n",
+       "150        10.800000  0.48                          1.47    480.0  \n",
+       "151         7.100000  0.61                          1.33    425.0  \n",
+       "152        10.520000  0.56                          1.51    675.0  \n",
+       "153         7.600000  0.58                          1.55    640.0  \n",
+       "154         7.900000  0.60                          1.48    725.0  \n",
+       "155         9.010000  0.57                          1.64    480.0  \n",
+       "156         7.500000  0.67                          1.73    880.0  \n",
+       "157        13.000000  0.57                          1.96    660.0  \n",
+       "158        11.750000  0.57                          1.78    620.0  \n",
+       "159         7.650000  0.56                          1.58    520.0  \n",
+       "160         5.880000  0.96                          1.82    680.0  \n",
+       "161         5.580000  0.87                          2.11    570.0  \n",
+       "162         5.280000  0.68                          1.75    675.0  \n",
+       "163         9.580000  0.70                          1.68    615.0  \n",
+       "164         6.620000  0.78                          1.75    520.0  \n",
+       "165        10.680000  0.85                          1.56    695.0  \n",
+       "166        10.260000  0.72                          1.75    685.0  \n",
+       "167         8.660000  0.74                          1.80    750.0  \n",
+       "168         8.500000  0.67                          1.92    630.0  \n",
+       "169         5.500000  0.66                          1.83    510.0  \n",
+       "170         9.899999  0.57                          1.63    470.0  \n",
+       "171         9.700000  0.62                          1.71    660.0  \n",
+       "172         7.700000  0.64                          1.74    740.0  \n",
+       "173         7.300000  0.70                          1.56    750.0  \n",
+       "174        10.200000  0.59                          1.56    835.0  \n",
+       "175         9.300000  0.60                          1.62    840.0  \n",
+       "176         9.200000  0.61                          1.60    560.0  \n",
+       "\n",
+       "[170 rows x 14 columns]"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "wine_df.dropna()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "DlpG8drhmz7W"
+   },
+   "source": [
+    "### BONUS: Play with the data set below"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "mD40T0Cnm5SA"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x7fb0c5ee91d0>,\n",
+       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7fb0c5a9b4a8>,\n",
+       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7fb0c5a50518>,\n",
+       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7fb0c5a0b550>],\n",
+       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x7fb0c59c5550>,\n",
+       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7fb0c59c5588>,\n",
+       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7fb0c59a6ef0>,\n",
+       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7fb0c596c400>],\n",
+       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x7fb0c5927320>,\n",
+       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7fb0c5940ba8>,\n",
+       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7fb0c588a9b0>,\n",
+       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7fb0c5843e80>],\n",
+       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x7fb0c5806400>,\n",
+       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7fb0c582b208>,\n",
+       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7fb0c57ed470>,\n",
+       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7fb0c57a47f0>]], dtype=object)"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fb0c5b5fc50>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "wine_df.hist(bins=10)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "colab": {
+   "name": "Exercise.ipynb",
+   "provenance": [],
+   "version": "0.3.2"
+  },
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/.ipynb_checkpoints/Get_to_know_your_Data-checkpoint-checkpoint.ipynb b/.ipynb_checkpoints/Get_to_know_your_Data-checkpoint-checkpoint.ipynb
new file mode 100644
index 0000000..dbf59d4
--- /dev/null
+++ b/.ipynb_checkpoints/Get_to_know_your_Data-checkpoint-checkpoint.ipynb
@@ -0,0 +1,2354 @@
+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "name": "Get to know your Data.ipynb",
+      "version": "0.3.2",
+      "provenance": []
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    }
+  },
+  "cells": [
+    {
+      "metadata": {
+        "id": "J82LU53m_OU0",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "# Get to know your Data\n",
+        "\n",
+        "\n",
+        "#### Import necessary modules\n"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "ZyO1UXL8mtSj",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "import pandas as pd\n",
+        "import numpy as np"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "yXTzTowtnwGI",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "#### Loading CSV Data to a DataFrame"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "H1Bjlb5wm9f-",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "iris_df = pd.read_csv('https://raw.githubusercontent.com/uiuc-cse/data-fa14/gh-pages/data/iris.csv')"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "KE-k7b_Mn5iN",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "#### See the top 10 rows\n"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "HY2Ps7xMn4ao",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 204
+        },
+        "outputId": "7d342633-1b72-4558-fcec-76ebe66d7430"
+      },
+      "cell_type": "code",
+      "source": [
+        "iris_df.head()"
+      ],
+      "execution_count": 4,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>sepal_length</th>\n",
+              "      <th>sepal_width</th>\n",
+              "      <th>petal_length</th>\n",
+              "      <th>petal_width</th>\n",
+              "      <th>species</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>5.1</td>\n",
+              "      <td>3.5</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>0.2</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>4.9</td>\n",
+              "      <td>3.0</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>0.2</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>4.7</td>\n",
+              "      <td>3.2</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>0.2</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>4.6</td>\n",
+              "      <td>3.1</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.2</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>5.0</td>\n",
+              "      <td>3.6</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>0.2</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "   sepal_length  sepal_width  petal_length  petal_width species\n",
+              "0           5.1          3.5           1.4          0.2  setosa\n",
+              "1           4.9          3.0           1.4          0.2  setosa\n",
+              "2           4.7          3.2           1.3          0.2  setosa\n",
+              "3           4.6          3.1           1.5          0.2  setosa\n",
+              "4           5.0          3.6           1.4          0.2  setosa"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 4
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "ZQXekIodqOZu",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "#### Find number of rows and columns\n"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "6Y-A-lbFqR82",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 34
+        },
+        "outputId": "2fe6e676-1bec-453f-8e2b-3bc21ac0a999"
+      },
+      "cell_type": "code",
+      "source": [
+        "print(iris_df.shape)\n",
+        "\n",
+        "#first is row and second is column\n",
+        "#select row by simple indexing\n",
+        "\n",
+        "#print(iris_df.shape[0])\n",
+        "#print(iris_df.shape[1])"
+      ],
+      "execution_count": 5,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "(150, 5)\n"
+          ],
+          "name": "stdout"
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "4ckCiGPhrC_t",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "#### Print all columns"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "S6jgMyRDrF2a",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 68
+        },
+        "outputId": "798d5ef2-0f98-4972-c98c-c896f879af64"
+      },
+      "cell_type": "code",
+      "source": [
+        "print(iris_df.columns)"
+      ],
+      "execution_count": 6,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "Index(['sepal_length', 'sepal_width', 'petal_length', 'petal_width',\n",
+            "       'species'],\n",
+            "      dtype='object')\n"
+          ],
+          "name": "stdout"
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "kVav5-ACtIqS",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "#### Check Index\n"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "iu3I9zIGtLDX",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 34
+        },
+        "outputId": "21786651-605d-4636-d253-5694edb6f969"
+      },
+      "cell_type": "code",
+      "source": [
+        "print(iris_df.index)"
+      ],
+      "execution_count": 7,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "RangeIndex(start=0, stop=150, step=1)\n"
+          ],
+          "name": "stdout"
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "psCc7PborOCQ",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "#### Right now the iris_data set has all the species grouped together let's shuffle it"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "Bxc8i6avrZPw",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 221
+        },
+        "outputId": "11e956f5-d253-4025-9c3a-1e88f54528b2"
+      },
+      "cell_type": "code",
+      "source": [
+        "#generate a random permutaion on index\n",
+        "\n",
+        "print(iris_df.head())\n",
+        "\n",
+        "new_index = np.random.permutation(iris_df.index)\n",
+        "iris_df = iris_df.reindex(index = new_index)\n",
+        "\n",
+        "print(iris_df.head())"
+      ],
+      "execution_count": 8,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "   sepal_length  sepal_width  petal_length  petal_width species\n",
+            "0           5.1          3.5           1.4          0.2  setosa\n",
+            "1           4.9          3.0           1.4          0.2  setosa\n",
+            "2           4.7          3.2           1.3          0.2  setosa\n",
+            "3           4.6          3.1           1.5          0.2  setosa\n",
+            "4           5.0          3.6           1.4          0.2  setosa\n",
+            "     sepal_length  sepal_width  petal_length  petal_width    species\n",
+            "3             4.6          3.1           1.5          0.2     setosa\n",
+            "115           6.4          3.2           5.3          2.3  virginica\n",
+            "113           5.7          2.5           5.0          2.0  virginica\n",
+            "43            5.0          3.5           1.6          0.6     setosa\n",
+            "126           6.2          2.8           4.8          1.8  virginica\n"
+          ],
+          "name": "stdout"
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "j32h8022sRT8",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "#### We can also apply an operation on whole column of iris_df"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "seYXHXsYsYJI",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 323
+        },
+        "outputId": "5f8ae149-0829-45fa-a537-ed81be0bd743"
+      },
+      "cell_type": "code",
+      "source": [
+        "#original\n",
+        "\n",
+        "print(iris_df.head())\n",
+        "\n",
+        "iris_df['sepal_width'] *= 10\n",
+        "\n",
+        "#changed\n",
+        "\n",
+        "print(iris_df.head())\n",
+        "\n",
+        "#lets undo the operation\n",
+        "\n",
+        "iris_df['sepal_width'] /= 10\n",
+        "\n",
+        "print(iris_df.head())"
+      ],
+      "execution_count": 9,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "     sepal_length  sepal_width  petal_length  petal_width    species\n",
+            "3             4.6          3.1           1.5          0.2     setosa\n",
+            "115           6.4          3.2           5.3          2.3  virginica\n",
+            "113           5.7          2.5           5.0          2.0  virginica\n",
+            "43            5.0          3.5           1.6          0.6     setosa\n",
+            "126           6.2          2.8           4.8          1.8  virginica\n",
+            "     sepal_length  sepal_width  petal_length  petal_width    species\n",
+            "3             4.6         31.0           1.5          0.2     setosa\n",
+            "115           6.4         32.0           5.3          2.3  virginica\n",
+            "113           5.7         25.0           5.0          2.0  virginica\n",
+            "43            5.0         35.0           1.6          0.6     setosa\n",
+            "126           6.2         28.0           4.8          1.8  virginica\n",
+            "     sepal_length  sepal_width  petal_length  petal_width    species\n",
+            "3             4.6          3.1           1.5          0.2     setosa\n",
+            "115           6.4          3.2           5.3          2.3  virginica\n",
+            "113           5.7          2.5           5.0          2.0  virginica\n",
+            "43            5.0          3.5           1.6          0.6     setosa\n",
+            "126           6.2          2.8           4.8          1.8  virginica\n"
+          ],
+          "name": "stdout"
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "R-Ca-LBLzjiF",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "#### Show all the rows where sepal_width > 3.3"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "WJ7W-F-d0AoZ",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 1165
+        },
+        "outputId": "ee9c12fa-f9da-468a-dead-9d3ced177e8b"
+      },
+      "cell_type": "code",
+      "source": [
+        "iris_df[iris_df['sepal_width']>3.3]"
+      ],
+      "execution_count": 10,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>sepal_length</th>\n",
+              "      <th>sepal_width</th>\n",
+              "      <th>petal_length</th>\n",
+              "      <th>petal_width</th>\n",
+              "      <th>species</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>43</th>\n",
+              "      <td>5.0</td>\n",
+              "      <td>3.5</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>0.6</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>7</th>\n",
+              "      <td>5.0</td>\n",
+              "      <td>3.4</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.2</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>18</th>\n",
+              "      <td>5.7</td>\n",
+              "      <td>3.8</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>0.3</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>136</th>\n",
+              "      <td>6.3</td>\n",
+              "      <td>3.4</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>virginica</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>16</th>\n",
+              "      <td>5.4</td>\n",
+              "      <td>3.9</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>0.4</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>24</th>\n",
+              "      <td>4.8</td>\n",
+              "      <td>3.4</td>\n",
+              "      <td>1.9</td>\n",
+              "      <td>0.2</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>39</th>\n",
+              "      <td>5.1</td>\n",
+              "      <td>3.4</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.2</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>27</th>\n",
+              "      <td>5.2</td>\n",
+              "      <td>3.5</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.2</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>85</th>\n",
+              "      <td>6.0</td>\n",
+              "      <td>3.4</td>\n",
+              "      <td>4.5</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>versicolor</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>109</th>\n",
+              "      <td>7.2</td>\n",
+              "      <td>3.6</td>\n",
+              "      <td>6.1</td>\n",
+              "      <td>2.5</td>\n",
+              "      <td>virginica</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>5</th>\n",
+              "      <td>5.4</td>\n",
+              "      <td>3.9</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>0.4</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>19</th>\n",
+              "      <td>5.1</td>\n",
+              "      <td>3.8</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.3</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>10</th>\n",
+              "      <td>5.4</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.2</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>5.0</td>\n",
+              "      <td>3.6</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>0.2</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>131</th>\n",
+              "      <td>7.9</td>\n",
+              "      <td>3.8</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>2.0</td>\n",
+              "      <td>virginica</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>15</th>\n",
+              "      <td>5.7</td>\n",
+              "      <td>4.4</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.4</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>36</th>\n",
+              "      <td>5.5</td>\n",
+              "      <td>3.5</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>0.2</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>20</th>\n",
+              "      <td>5.4</td>\n",
+              "      <td>3.4</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>0.2</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>14</th>\n",
+              "      <td>5.8</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>1.2</td>\n",
+              "      <td>0.2</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>44</th>\n",
+              "      <td>5.1</td>\n",
+              "      <td>3.8</td>\n",
+              "      <td>1.9</td>\n",
+              "      <td>0.4</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>21</th>\n",
+              "      <td>5.1</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.4</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>22</th>\n",
+              "      <td>4.6</td>\n",
+              "      <td>3.6</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>0.2</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>28</th>\n",
+              "      <td>5.2</td>\n",
+              "      <td>3.4</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>0.2</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>11</th>\n",
+              "      <td>4.8</td>\n",
+              "      <td>3.4</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>0.2</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>46</th>\n",
+              "      <td>5.1</td>\n",
+              "      <td>3.8</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>0.2</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>31</th>\n",
+              "      <td>5.4</td>\n",
+              "      <td>3.4</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.4</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>6</th>\n",
+              "      <td>4.6</td>\n",
+              "      <td>3.4</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>0.3</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>32</th>\n",
+              "      <td>5.2</td>\n",
+              "      <td>4.1</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.1</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>148</th>\n",
+              "      <td>6.2</td>\n",
+              "      <td>3.4</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>2.3</td>\n",
+              "      <td>virginica</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>26</th>\n",
+              "      <td>5.0</td>\n",
+              "      <td>3.4</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>0.4</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>5.1</td>\n",
+              "      <td>3.5</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>0.2</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>48</th>\n",
+              "      <td>5.3</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.2</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>40</th>\n",
+              "      <td>5.0</td>\n",
+              "      <td>3.5</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>0.3</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>33</th>\n",
+              "      <td>5.5</td>\n",
+              "      <td>4.2</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>0.2</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>17</th>\n",
+              "      <td>5.1</td>\n",
+              "      <td>3.5</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>0.3</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>117</th>\n",
+              "      <td>7.7</td>\n",
+              "      <td>3.8</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>2.2</td>\n",
+              "      <td>virginica</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "     sepal_length  sepal_width  petal_length  petal_width     species\n",
+              "43            5.0          3.5           1.6          0.6      setosa\n",
+              "7             5.0          3.4           1.5          0.2      setosa\n",
+              "18            5.7          3.8           1.7          0.3      setosa\n",
+              "136           6.3          3.4           5.6          2.4   virginica\n",
+              "16            5.4          3.9           1.3          0.4      setosa\n",
+              "24            4.8          3.4           1.9          0.2      setosa\n",
+              "39            5.1          3.4           1.5          0.2      setosa\n",
+              "27            5.2          3.5           1.5          0.2      setosa\n",
+              "85            6.0          3.4           4.5          1.6  versicolor\n",
+              "109           7.2          3.6           6.1          2.5   virginica\n",
+              "5             5.4          3.9           1.7          0.4      setosa\n",
+              "19            5.1          3.8           1.5          0.3      setosa\n",
+              "10            5.4          3.7           1.5          0.2      setosa\n",
+              "4             5.0          3.6           1.4          0.2      setosa\n",
+              "131           7.9          3.8           6.4          2.0   virginica\n",
+              "15            5.7          4.4           1.5          0.4      setosa\n",
+              "36            5.5          3.5           1.3          0.2      setosa\n",
+              "20            5.4          3.4           1.7          0.2      setosa\n",
+              "14            5.8          4.0           1.2          0.2      setosa\n",
+              "44            5.1          3.8           1.9          0.4      setosa\n",
+              "21            5.1          3.7           1.5          0.4      setosa\n",
+              "22            4.6          3.6           1.0          0.2      setosa\n",
+              "28            5.2          3.4           1.4          0.2      setosa\n",
+              "11            4.8          3.4           1.6          0.2      setosa\n",
+              "46            5.1          3.8           1.6          0.2      setosa\n",
+              "31            5.4          3.4           1.5          0.4      setosa\n",
+              "6             4.6          3.4           1.4          0.3      setosa\n",
+              "32            5.2          4.1           1.5          0.1      setosa\n",
+              "148           6.2          3.4           5.4          2.3   virginica\n",
+              "26            5.0          3.4           1.6          0.4      setosa\n",
+              "0             5.1          3.5           1.4          0.2      setosa\n",
+              "48            5.3          3.7           1.5          0.2      setosa\n",
+              "40            5.0          3.5           1.3          0.3      setosa\n",
+              "33            5.5          4.2           1.4          0.2      setosa\n",
+              "17            5.1          3.5           1.4          0.3      setosa\n",
+              "117           7.7          3.8           6.7          2.2   virginica"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 10
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "gH3DnhCq2Cbl",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "#### Club two filters together - Find all samples where sepal_width > 3.3 and species is versicolor"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "4U7ksr_R2H7M",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 80
+        },
+        "outputId": "a245bbce-09c2-41e0-fb41-6138e8f8eddc"
+      },
+      "cell_type": "code",
+      "source": [
+        "iris_df[(iris_df['sepal_width']>3.3) & (iris_df['species'] == 'versicolor')] "
+      ],
+      "execution_count": 11,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>sepal_length</th>\n",
+              "      <th>sepal_width</th>\n",
+              "      <th>petal_length</th>\n",
+              "      <th>petal_width</th>\n",
+              "      <th>species</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>85</th>\n",
+              "      <td>6.0</td>\n",
+              "      <td>3.4</td>\n",
+              "      <td>4.5</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>versicolor</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "    sepal_length  sepal_width  petal_length  petal_width     species\n",
+              "85           6.0          3.4           4.5          1.6  versicolor"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 11
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "1lmnB3ot2u7I",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "#### Sorting a column by value"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "K7KIj6fv2zWP",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 1969
+        },
+        "outputId": "c38831d3-1fd3-4728-bfbf-c9355e4a96a5"
+      },
+      "cell_type": "code",
+      "source": [
+        "iris_df.sort_values(by='sepal_width')#, ascending = False)\n",
+        "#pass ascending = False for descending order"
+      ],
+      "execution_count": 12,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>sepal_length</th>\n",
+              "      <th>sepal_width</th>\n",
+              "      <th>petal_length</th>\n",
+              "      <th>petal_width</th>\n",
+              "      <th>species</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>60</th>\n",
+              "      <td>5.0</td>\n",
+              "      <td>2.0</td>\n",
+              "      <td>3.5</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>versicolor</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>62</th>\n",
+              "      <td>6.0</td>\n",
+              "      <td>2.2</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>versicolor</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>68</th>\n",
+              "      <td>6.2</td>\n",
+              "      <td>2.2</td>\n",
+              "      <td>4.5</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>versicolor</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>119</th>\n",
+              "      <td>6.0</td>\n",
+              "      <td>2.2</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>virginica</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>87</th>\n",
+              "      <td>6.3</td>\n",
+              "      <td>2.3</td>\n",
+              "      <td>4.4</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>versicolor</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>53</th>\n",
+              "      <td>5.5</td>\n",
+              "      <td>2.3</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>versicolor</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>93</th>\n",
+              "      <td>5.0</td>\n",
+              "      <td>2.3</td>\n",
+              "      <td>3.3</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>versicolor</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>41</th>\n",
+              "      <td>4.5</td>\n",
+              "      <td>2.3</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>0.3</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>57</th>\n",
+              "      <td>4.9</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>3.3</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>versicolor</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>81</th>\n",
+              "      <td>5.5</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>versicolor</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>80</th>\n",
+              "      <td>5.5</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>3.8</td>\n",
+              "      <td>1.1</td>\n",
+              "      <td>versicolor</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>72</th>\n",
+              "      <td>6.3</td>\n",
+              "      <td>2.5</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>versicolor</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>108</th>\n",
+              "      <td>6.7</td>\n",
+              "      <td>2.5</td>\n",
+              "      <td>5.8</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>virginica</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>89</th>\n",
+              "      <td>5.5</td>\n",
+              "      <td>2.5</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>versicolor</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>98</th>\n",
+              "      <td>5.1</td>\n",
+              "      <td>2.5</td>\n",
+              "      <td>3.0</td>\n",
+              "      <td>1.1</td>\n",
+              "      <td>versicolor</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>106</th>\n",
+              "      <td>4.9</td>\n",
+              "      <td>2.5</td>\n",
+              "      <td>4.5</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>virginica</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>69</th>\n",
+              "      <td>5.6</td>\n",
+              "      <td>2.5</td>\n",
+              "      <td>3.9</td>\n",
+              "      <td>1.1</td>\n",
+              "      <td>versicolor</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>146</th>\n",
+              "      <td>6.3</td>\n",
+              "      <td>2.5</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>1.9</td>\n",
+              "      <td>virginica</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>113</th>\n",
+              "      <td>5.7</td>\n",
+              "      <td>2.5</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>2.0</td>\n",
+              "      <td>virginica</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>79</th>\n",
+              "      <td>5.7</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>3.5</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>versicolor</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>118</th>\n",
+              "      <td>7.7</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>6.9</td>\n",
+              "      <td>2.3</td>\n",
+              "      <td>virginica</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>92</th>\n",
+              "      <td>5.8</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>1.2</td>\n",
+              "      <td>versicolor</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>90</th>\n",
+              "      <td>5.5</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>4.4</td>\n",
+              "      <td>1.2</td>\n",
+              "      <td>versicolor</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>134</th>\n",
+              "      <td>6.1</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>virginica</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>67</th>\n",
+              "      <td>5.8</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>4.1</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>versicolor</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>59</th>\n",
+              "      <td>5.2</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>3.9</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>versicolor</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>94</th>\n",
+              "      <td>5.6</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>4.2</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>versicolor</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>83</th>\n",
+              "      <td>6.0</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>versicolor</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>123</th>\n",
+              "      <td>6.3</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>virginica</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>101</th>\n",
+              "      <td>5.8</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>1.9</td>\n",
+              "      <td>virginica</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>...</th>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>148</th>\n",
+              "      <td>6.2</td>\n",
+              "      <td>3.4</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>2.3</td>\n",
+              "      <td>virginica</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>136</th>\n",
+              "      <td>6.3</td>\n",
+              "      <td>3.4</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>virginica</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>85</th>\n",
+              "      <td>6.0</td>\n",
+              "      <td>3.4</td>\n",
+              "      <td>4.5</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>versicolor</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>26</th>\n",
+              "      <td>5.0</td>\n",
+              "      <td>3.4</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>0.4</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>24</th>\n",
+              "      <td>4.8</td>\n",
+              "      <td>3.4</td>\n",
+              "      <td>1.9</td>\n",
+              "      <td>0.2</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>20</th>\n",
+              "      <td>5.4</td>\n",
+              "      <td>3.4</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>0.2</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>36</th>\n",
+              "      <td>5.5</td>\n",
+              "      <td>3.5</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>0.2</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>17</th>\n",
+              "      <td>5.1</td>\n",
+              "      <td>3.5</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>0.3</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>40</th>\n",
+              "      <td>5.0</td>\n",
+              "      <td>3.5</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>0.3</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>43</th>\n",
+              "      <td>5.0</td>\n",
+              "      <td>3.5</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>0.6</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>5.1</td>\n",
+              "      <td>3.5</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>0.2</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>27</th>\n",
+              "      <td>5.2</td>\n",
+              "      <td>3.5</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.2</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>22</th>\n",
+              "      <td>4.6</td>\n",
+              "      <td>3.6</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>0.2</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>5.0</td>\n",
+              "      <td>3.6</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>0.2</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>109</th>\n",
+              "      <td>7.2</td>\n",
+              "      <td>3.6</td>\n",
+              "      <td>6.1</td>\n",
+              "      <td>2.5</td>\n",
+              "      <td>virginica</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>21</th>\n",
+              "      <td>5.1</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.4</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>48</th>\n",
+              "      <td>5.3</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.2</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>10</th>\n",
+              "      <td>5.4</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.2</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>44</th>\n",
+              "      <td>5.1</td>\n",
+              "      <td>3.8</td>\n",
+              "      <td>1.9</td>\n",
+              "      <td>0.4</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>18</th>\n",
+              "      <td>5.7</td>\n",
+              "      <td>3.8</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>0.3</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>46</th>\n",
+              "      <td>5.1</td>\n",
+              "      <td>3.8</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>0.2</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>19</th>\n",
+              "      <td>5.1</td>\n",
+              "      <td>3.8</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.3</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>131</th>\n",
+              "      <td>7.9</td>\n",
+              "      <td>3.8</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>2.0</td>\n",
+              "      <td>virginica</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>117</th>\n",
+              "      <td>7.7</td>\n",
+              "      <td>3.8</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>2.2</td>\n",
+              "      <td>virginica</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>16</th>\n",
+              "      <td>5.4</td>\n",
+              "      <td>3.9</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>0.4</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>5</th>\n",
+              "      <td>5.4</td>\n",
+              "      <td>3.9</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>0.4</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>14</th>\n",
+              "      <td>5.8</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>1.2</td>\n",
+              "      <td>0.2</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>32</th>\n",
+              "      <td>5.2</td>\n",
+              "      <td>4.1</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.1</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>33</th>\n",
+              "      <td>5.5</td>\n",
+              "      <td>4.2</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>0.2</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>15</th>\n",
+              "      <td>5.7</td>\n",
+              "      <td>4.4</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.4</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "<p>150 rows × 5 columns</p>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "     sepal_length  sepal_width  petal_length  petal_width     species\n",
+              "60            5.0          2.0           3.5          1.0  versicolor\n",
+              "62            6.0          2.2           4.0          1.0  versicolor\n",
+              "68            6.2          2.2           4.5          1.5  versicolor\n",
+              "119           6.0          2.2           5.0          1.5   virginica\n",
+              "87            6.3          2.3           4.4          1.3  versicolor\n",
+              "53            5.5          2.3           4.0          1.3  versicolor\n",
+              "93            5.0          2.3           3.3          1.0  versicolor\n",
+              "41            4.5          2.3           1.3          0.3      setosa\n",
+              "57            4.9          2.4           3.3          1.0  versicolor\n",
+              "81            5.5          2.4           3.7          1.0  versicolor\n",
+              "80            5.5          2.4           3.8          1.1  versicolor\n",
+              "72            6.3          2.5           4.9          1.5  versicolor\n",
+              "108           6.7          2.5           5.8          1.8   virginica\n",
+              "89            5.5          2.5           4.0          1.3  versicolor\n",
+              "98            5.1          2.5           3.0          1.1  versicolor\n",
+              "106           4.9          2.5           4.5          1.7   virginica\n",
+              "69            5.6          2.5           3.9          1.1  versicolor\n",
+              "146           6.3          2.5           5.0          1.9   virginica\n",
+              "113           5.7          2.5           5.0          2.0   virginica\n",
+              "79            5.7          2.6           3.5          1.0  versicolor\n",
+              "118           7.7          2.6           6.9          2.3   virginica\n",
+              "92            5.8          2.6           4.0          1.2  versicolor\n",
+              "90            5.5          2.6           4.4          1.2  versicolor\n",
+              "134           6.1          2.6           5.6          1.4   virginica\n",
+              "67            5.8          2.7           4.1          1.0  versicolor\n",
+              "59            5.2          2.7           3.9          1.4  versicolor\n",
+              "94            5.6          2.7           4.2          1.3  versicolor\n",
+              "83            6.0          2.7           5.1          1.6  versicolor\n",
+              "123           6.3          2.7           4.9          1.8   virginica\n",
+              "101           5.8          2.7           5.1          1.9   virginica\n",
+              "..            ...          ...           ...          ...         ...\n",
+              "148           6.2          3.4           5.4          2.3   virginica\n",
+              "136           6.3          3.4           5.6          2.4   virginica\n",
+              "85            6.0          3.4           4.5          1.6  versicolor\n",
+              "26            5.0          3.4           1.6          0.4      setosa\n",
+              "24            4.8          3.4           1.9          0.2      setosa\n",
+              "20            5.4          3.4           1.7          0.2      setosa\n",
+              "36            5.5          3.5           1.3          0.2      setosa\n",
+              "17            5.1          3.5           1.4          0.3      setosa\n",
+              "40            5.0          3.5           1.3          0.3      setosa\n",
+              "43            5.0          3.5           1.6          0.6      setosa\n",
+              "0             5.1          3.5           1.4          0.2      setosa\n",
+              "27            5.2          3.5           1.5          0.2      setosa\n",
+              "22            4.6          3.6           1.0          0.2      setosa\n",
+              "4             5.0          3.6           1.4          0.2      setosa\n",
+              "109           7.2          3.6           6.1          2.5   virginica\n",
+              "21            5.1          3.7           1.5          0.4      setosa\n",
+              "48            5.3          3.7           1.5          0.2      setosa\n",
+              "10            5.4          3.7           1.5          0.2      setosa\n",
+              "44            5.1          3.8           1.9          0.4      setosa\n",
+              "18            5.7          3.8           1.7          0.3      setosa\n",
+              "46            5.1          3.8           1.6          0.2      setosa\n",
+              "19            5.1          3.8           1.5          0.3      setosa\n",
+              "131           7.9          3.8           6.4          2.0   virginica\n",
+              "117           7.7          3.8           6.7          2.2   virginica\n",
+              "16            5.4          3.9           1.3          0.4      setosa\n",
+              "5             5.4          3.9           1.7          0.4      setosa\n",
+              "14            5.8          4.0           1.2          0.2      setosa\n",
+              "32            5.2          4.1           1.5          0.1      setosa\n",
+              "33            5.5          4.2           1.4          0.2      setosa\n",
+              "15            5.7          4.4           1.5          0.4      setosa\n",
+              "\n",
+              "[150 rows x 5 columns]"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 12
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "9jg_Z4YCoMSV",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "#### List all the unique species"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "M6EN78ufoJY7",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 34
+        },
+        "outputId": "4ae0c425-f973-486f-817f-63cbe6897bdf"
+      },
+      "cell_type": "code",
+      "source": [
+        "species = iris_df['species'].unique()\n",
+        "\n",
+        "print(species)"
+      ],
+      "execution_count": 13,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "['setosa' 'virginica' 'versicolor']\n"
+          ],
+          "name": "stdout"
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "wG1i5nxBodmB",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "#### Selecting a particular species using boolean mask (learnt in previous exercise)"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "gZvpbKBwoVUe",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 204
+        },
+        "outputId": "213a3376-8e60-4f9f-cf7e-937e98475206"
+      },
+      "cell_type": "code",
+      "source": [
+        "setosa = iris_df[iris_df['species'] == species[0]]\n",
+        "\n",
+        "setosa.head()"
+      ],
+      "execution_count": 14,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>sepal_length</th>\n",
+              "      <th>sepal_width</th>\n",
+              "      <th>petal_length</th>\n",
+              "      <th>petal_width</th>\n",
+              "      <th>species</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>4.6</td>\n",
+              "      <td>3.1</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.2</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>43</th>\n",
+              "      <td>5.0</td>\n",
+              "      <td>3.5</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>0.6</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>7</th>\n",
+              "      <td>5.0</td>\n",
+              "      <td>3.4</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.2</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>18</th>\n",
+              "      <td>5.7</td>\n",
+              "      <td>3.8</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>0.3</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>42</th>\n",
+              "      <td>4.4</td>\n",
+              "      <td>3.2</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>0.2</td>\n",
+              "      <td>setosa</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "    sepal_length  sepal_width  petal_length  petal_width species\n",
+              "3            4.6          3.1           1.5          0.2  setosa\n",
+              "43           5.0          3.5           1.6          0.6  setosa\n",
+              "7            5.0          3.4           1.5          0.2  setosa\n",
+              "18           5.7          3.8           1.7          0.3  setosa\n",
+              "42           4.4          3.2           1.3          0.2  setosa"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 14
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "7tumfZ3DotPG",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 204
+        },
+        "outputId": "bf3850ab-a0eb-45fa-9816-fdd4c97517d2"
+      },
+      "cell_type": "code",
+      "source": [
+        "# do the same for other 2 species \n",
+        "versicolor = iris_df[iris_df['species'] == species[1]]\n",
+        "\n",
+        "versicolor.head()"
+      ],
+      "execution_count": 15,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>sepal_length</th>\n",
+              "      <th>sepal_width</th>\n",
+              "      <th>petal_length</th>\n",
+              "      <th>petal_width</th>\n",
+              "      <th>species</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>115</th>\n",
+              "      <td>6.4</td>\n",
+              "      <td>3.2</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>2.3</td>\n",
+              "      <td>virginica</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>113</th>\n",
+              "      <td>5.7</td>\n",
+              "      <td>2.5</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>2.0</td>\n",
+              "      <td>virginica</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>126</th>\n",
+              "      <td>6.2</td>\n",
+              "      <td>2.8</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>virginica</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>122</th>\n",
+              "      <td>7.7</td>\n",
+              "      <td>2.8</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>2.0</td>\n",
+              "      <td>virginica</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>116</th>\n",
+              "      <td>6.5</td>\n",
+              "      <td>3.0</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>virginica</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "     sepal_length  sepal_width  petal_length  petal_width    species\n",
+              "115           6.4          3.2           5.3          2.3  virginica\n",
+              "113           5.7          2.5           5.0          2.0  virginica\n",
+              "126           6.2          2.8           4.8          1.8  virginica\n",
+              "122           7.7          2.8           6.7          2.0  virginica\n",
+              "116           6.5          3.0           5.5          1.8  virginica"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 15
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "cUYm5UqVpDPy",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 204
+        },
+        "outputId": "a3cc4a4c-b06e-43c1-ed6a-b1f8fcb14de6"
+      },
+      "cell_type": "code",
+      "source": [
+        "\n",
+        "\n",
+        "virginica = iris_df[iris_df['species'] == species[2]]\n",
+        "\n",
+        "virginica.head()"
+      ],
+      "execution_count": 16,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>sepal_length</th>\n",
+              "      <th>sepal_width</th>\n",
+              "      <th>petal_length</th>\n",
+              "      <th>petal_width</th>\n",
+              "      <th>species</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>90</th>\n",
+              "      <td>5.5</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>4.4</td>\n",
+              "      <td>1.2</td>\n",
+              "      <td>versicolor</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>93</th>\n",
+              "      <td>5.0</td>\n",
+              "      <td>2.3</td>\n",
+              "      <td>3.3</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>versicolor</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>50</th>\n",
+              "      <td>7.0</td>\n",
+              "      <td>3.2</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>versicolor</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>60</th>\n",
+              "      <td>5.0</td>\n",
+              "      <td>2.0</td>\n",
+              "      <td>3.5</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>versicolor</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>62</th>\n",
+              "      <td>6.0</td>\n",
+              "      <td>2.2</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>versicolor</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "    sepal_length  sepal_width  petal_length  petal_width     species\n",
+              "90           5.5          2.6           4.4          1.2  versicolor\n",
+              "93           5.0          2.3           3.3          1.0  versicolor\n",
+              "50           7.0          3.2           4.7          1.4  versicolor\n",
+              "60           5.0          2.0           3.5          1.0  versicolor\n",
+              "62           6.0          2.2           4.0          1.0  versicolor"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 16
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "-y1wDc8SpdQs",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "#### Describe each created species to see the difference\n",
+        "\n"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "eHrn3ZVRpOk5",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 297
+        },
+        "outputId": "58e878f8-2aed-49b2-9529-545308332808"
+      },
+      "cell_type": "code",
+      "source": [
+        "setosa.describe()"
+      ],
+      "execution_count": 17,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>sepal_length</th>\n",
+              "      <th>sepal_width</th>\n",
+              "      <th>petal_length</th>\n",
+              "      <th>petal_width</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>count</th>\n",
+              "      <td>50.00000</td>\n",
+              "      <td>50.000000</td>\n",
+              "      <td>50.000000</td>\n",
+              "      <td>50.00000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>mean</th>\n",
+              "      <td>5.00600</td>\n",
+              "      <td>3.418000</td>\n",
+              "      <td>1.464000</td>\n",
+              "      <td>0.24400</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>std</th>\n",
+              "      <td>0.35249</td>\n",
+              "      <td>0.381024</td>\n",
+              "      <td>0.173511</td>\n",
+              "      <td>0.10721</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>min</th>\n",
+              "      <td>4.30000</td>\n",
+              "      <td>2.300000</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>0.10000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>25%</th>\n",
+              "      <td>4.80000</td>\n",
+              "      <td>3.125000</td>\n",
+              "      <td>1.400000</td>\n",
+              "      <td>0.20000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>50%</th>\n",
+              "      <td>5.00000</td>\n",
+              "      <td>3.400000</td>\n",
+              "      <td>1.500000</td>\n",
+              "      <td>0.20000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>75%</th>\n",
+              "      <td>5.20000</td>\n",
+              "      <td>3.675000</td>\n",
+              "      <td>1.575000</td>\n",
+              "      <td>0.30000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>max</th>\n",
+              "      <td>5.80000</td>\n",
+              "      <td>4.400000</td>\n",
+              "      <td>1.900000</td>\n",
+              "      <td>0.60000</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "       sepal_length  sepal_width  petal_length  petal_width\n",
+              "count      50.00000    50.000000     50.000000     50.00000\n",
+              "mean        5.00600     3.418000      1.464000      0.24400\n",
+              "std         0.35249     0.381024      0.173511      0.10721\n",
+              "min         4.30000     2.300000      1.000000      0.10000\n",
+              "25%         4.80000     3.125000      1.400000      0.20000\n",
+              "50%         5.00000     3.400000      1.500000      0.20000\n",
+              "75%         5.20000     3.675000      1.575000      0.30000\n",
+              "max         5.80000     4.400000      1.900000      0.60000"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 17
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "GwJFT2GlpwUv",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 297
+        },
+        "outputId": "3b040a37-357b-4f35-b1ba-9fa0c6166f9f"
+      },
+      "cell_type": "code",
+      "source": [
+        "versicolor.describe()"
+      ],
+      "execution_count": 18,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>sepal_length</th>\n",
+              "      <th>sepal_width</th>\n",
+              "      <th>petal_length</th>\n",
+              "      <th>petal_width</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>count</th>\n",
+              "      <td>50.00000</td>\n",
+              "      <td>50.000000</td>\n",
+              "      <td>50.000000</td>\n",
+              "      <td>50.00000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>mean</th>\n",
+              "      <td>6.58800</td>\n",
+              "      <td>2.974000</td>\n",
+              "      <td>5.552000</td>\n",
+              "      <td>2.02600</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>std</th>\n",
+              "      <td>0.63588</td>\n",
+              "      <td>0.322497</td>\n",
+              "      <td>0.551895</td>\n",
+              "      <td>0.27465</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>min</th>\n",
+              "      <td>4.90000</td>\n",
+              "      <td>2.200000</td>\n",
+              "      <td>4.500000</td>\n",
+              "      <td>1.40000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>25%</th>\n",
+              "      <td>6.22500</td>\n",
+              "      <td>2.800000</td>\n",
+              "      <td>5.100000</td>\n",
+              "      <td>1.80000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>50%</th>\n",
+              "      <td>6.50000</td>\n",
+              "      <td>3.000000</td>\n",
+              "      <td>5.550000</td>\n",
+              "      <td>2.00000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>75%</th>\n",
+              "      <td>6.90000</td>\n",
+              "      <td>3.175000</td>\n",
+              "      <td>5.875000</td>\n",
+              "      <td>2.30000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>max</th>\n",
+              "      <td>7.90000</td>\n",
+              "      <td>3.800000</td>\n",
+              "      <td>6.900000</td>\n",
+              "      <td>2.50000</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "       sepal_length  sepal_width  petal_length  petal_width\n",
+              "count      50.00000    50.000000     50.000000     50.00000\n",
+              "mean        6.58800     2.974000      5.552000      2.02600\n",
+              "std         0.63588     0.322497      0.551895      0.27465\n",
+              "min         4.90000     2.200000      4.500000      1.40000\n",
+              "25%         6.22500     2.800000      5.100000      1.80000\n",
+              "50%         6.50000     3.000000      5.550000      2.00000\n",
+              "75%         6.90000     3.175000      5.875000      2.30000\n",
+              "max         7.90000     3.800000      6.900000      2.50000"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 18
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "Ad4qhSZLpztf",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 297
+        },
+        "outputId": "4a986bae-72a1-4e49-bb19-5999479897c6"
+      },
+      "cell_type": "code",
+      "source": [
+        "virginica.describe()"
+      ],
+      "execution_count": 19,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>sepal_length</th>\n",
+              "      <th>sepal_width</th>\n",
+              "      <th>petal_length</th>\n",
+              "      <th>petal_width</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>count</th>\n",
+              "      <td>50.000000</td>\n",
+              "      <td>50.000000</td>\n",
+              "      <td>50.000000</td>\n",
+              "      <td>50.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>mean</th>\n",
+              "      <td>5.936000</td>\n",
+              "      <td>2.770000</td>\n",
+              "      <td>4.260000</td>\n",
+              "      <td>1.326000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>std</th>\n",
+              "      <td>0.516171</td>\n",
+              "      <td>0.313798</td>\n",
+              "      <td>0.469911</td>\n",
+              "      <td>0.197753</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>min</th>\n",
+              "      <td>4.900000</td>\n",
+              "      <td>2.000000</td>\n",
+              "      <td>3.000000</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>25%</th>\n",
+              "      <td>5.600000</td>\n",
+              "      <td>2.525000</td>\n",
+              "      <td>4.000000</td>\n",
+              "      <td>1.200000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>50%</th>\n",
+              "      <td>5.900000</td>\n",
+              "      <td>2.800000</td>\n",
+              "      <td>4.350000</td>\n",
+              "      <td>1.300000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>75%</th>\n",
+              "      <td>6.300000</td>\n",
+              "      <td>3.000000</td>\n",
+              "      <td>4.600000</td>\n",
+              "      <td>1.500000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>max</th>\n",
+              "      <td>7.000000</td>\n",
+              "      <td>3.400000</td>\n",
+              "      <td>5.100000</td>\n",
+              "      <td>1.800000</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "       sepal_length  sepal_width  petal_length  petal_width\n",
+              "count     50.000000    50.000000     50.000000    50.000000\n",
+              "mean       5.936000     2.770000      4.260000     1.326000\n",
+              "std        0.516171     0.313798      0.469911     0.197753\n",
+              "min        4.900000     2.000000      3.000000     1.000000\n",
+              "25%        5.600000     2.525000      4.000000     1.200000\n",
+              "50%        5.900000     2.800000      4.350000     1.300000\n",
+              "75%        6.300000     3.000000      4.600000     1.500000\n",
+              "max        7.000000     3.400000      5.100000     1.800000"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 19
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "Vdu0ulZWtr09",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "#### Let's plot and see the difference"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "PEVMzRvpttmD",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "##### import matplotlib.pyplot "
+      ]
+    },
+    {
+      "metadata": {
+        "id": "rqDXuuAtt7C3",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 398
+        },
+        "outputId": "e1111c09-8877-43f8-ac45-f92b53899a5c"
+      },
+      "cell_type": "code",
+      "source": [
+        "import matplotlib.pyplot as plt\n",
+        "\n",
+        "#hist creates a histogram there are many more plots(see the documentation) you can play with it.\n",
+        "\n",
+        "plt.hist(setosa['sepal_length'])\n",
+        "plt.hist(versicolor['sepal_length'])\n",
+        "plt.hist(virginica['sepal_length'])"
+      ],
+      "execution_count": 20,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "(array([ 4.,  1.,  6., 10.,  5.,  8.,  5.,  3.,  5.,  3.]),\n",
+              " array([4.9 , 5.11, 5.32, 5.53, 5.74, 5.95, 6.16, 6.37, 6.58, 6.79, 7.  ]),\n",
+              " <a list of 10 Patch objects>)"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 20
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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FAKUs59d8/1M2m23z8pqaqnzczHneePr+vJ+zePlaQDG5o9ADkBcdaVtOj3xra2vj0KFD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\nSEx8ASAx8QWAxMQXABL7f56BiVURCnM3AAAAAElFTkSuQmCC\n",
+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7f126775acc0>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "pl4RPzBfl5mI",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        ""
+      ],
+      "execution_count": 0,
+      "outputs": []
+    }
+  ]
+}
\ No newline at end of file
diff --git a/Basic_Pandas-checkpoint.ipynb b/Basic_Pandas-checkpoint.ipynb
new file mode 100644
index 0000000..a9be676
--- /dev/null
+++ b/Basic_Pandas-checkpoint.ipynb
@@ -0,0 +1,1044 @@
+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "name": "Basic Pandas.ipynb",
+      "version": "0.3.2",
+      "provenance": []
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    }
+  },
+  "cells": [
+    {
+      "metadata": {
+        "id": "cGbE814_Xaf9",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "# Pandas\n",
+        "\n",
+        "Pandas is an open-source, BSD-licensed Python library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. Python with Pandas is used in a wide range of fields including academic and commercial domains including finance, economics, Statistics, analytics, etc.In this tutorial, we will learn the various features of Python Pandas and how to use them in practice.\n",
+        "\n",
+        "\n",
+        "## Import pandas and numpy"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "irlVYeeAXPDL",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "import pandas as pd\n",
+        "import numpy as np"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "BI2J-zdMbGwE",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "### This is your playground feel free to explore other functions on pandas\n",
+        "\n",
+        "#### Create Series from numpy array, list and dict\n",
+        "\n",
+        "Don't know what a series is?\n",
+        "\n",
+        "[Series Doc](https://pandas.pydata.org/pandas-docs/version/0.22/generated/pandas.Series.html)"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "GeEct691YGE3",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 139
+        },
+        "outputId": "49a1f081-7c31-4abc-c8e1-e3c87f53afaa"
+      },
+      "cell_type": "code",
+      "source": [
+        "a_ascii = ord('A')\n",
+        "z_ascii = ord('Z')\n",
+        "alphabets = [chr(i) for i in range(a_ascii, z_ascii+1)]\n",
+        "\n",
+        "print(alphabets)\n",
+        "\n",
+        "numbers = np.arange(26)\n",
+        "\n",
+        "print(numbers)\n",
+        "\n",
+        "print(type(alphabets), type(numbers))\n",
+        "\n",
+        "alpha_numbers = dict(zip(alphabets, numbers))\n",
+        "\n",
+        "print(alpha_numbers)\n",
+        "\n",
+        "print(type(alpha_numbers))\n"
+      ],
+      "execution_count": 3,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S', 'T', 'U', 'V', 'W', 'X', 'Y', 'Z']\n",
+            "[ 0  1  2  3  4  5  6  7  8  9 10 11 12 13 14 15 16 17 18 19 20 21 22 23\n",
+            " 24 25]\n",
+            "<class 'list'> <class 'numpy.ndarray'>\n",
+            "{'A': 0, 'B': 1, 'C': 2, 'D': 3, 'E': 4, 'F': 5, 'G': 6, 'H': 7, 'I': 8, 'J': 9, 'K': 10, 'L': 11, 'M': 12, 'N': 13, 'O': 14, 'P': 15, 'Q': 16, 'R': 17, 'S': 18, 'T': 19, 'U': 20, 'V': 21, 'W': 22, 'X': 23, 'Y': 24, 'Z': 25}\n",
+            "<class 'dict'>\n"
+          ],
+          "name": "stdout"
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "6ouDfjWab_Mc",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 476
+        },
+        "outputId": "26cb349e-34ff-46aa-daf7-9102bbb66ce8"
+      },
+      "cell_type": "code",
+      "source": [
+        "series1 = pd.Series(alphabets)\n",
+        "print(series1)"
+      ],
+      "execution_count": 4,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "0     A\n",
+            "1     B\n",
+            "2     C\n",
+            "3     D\n",
+            "4     E\n",
+            "5     F\n",
+            "6     G\n",
+            "7     H\n",
+            "8     I\n",
+            "9     J\n",
+            "10    K\n",
+            "11    L\n",
+            "12    M\n",
+            "13    N\n",
+            "14    O\n",
+            "15    P\n",
+            "16    Q\n",
+            "17    R\n",
+            "18    S\n",
+            "19    T\n",
+            "20    U\n",
+            "21    V\n",
+            "22    W\n",
+            "23    X\n",
+            "24    Y\n",
+            "25    Z\n",
+            "dtype: object\n"
+          ],
+          "name": "stdout"
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "At7nY7vVcBZ3",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 476
+        },
+        "outputId": "ddd95b3b-56ca-4a6a-a3cb-ad46a61b956f"
+      },
+      "cell_type": "code",
+      "source": [
+        "series2 = pd.Series(numbers)\n",
+        "print(series2)"
+      ],
+      "execution_count": 5,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "0      0\n",
+            "1      1\n",
+            "2      2\n",
+            "3      3\n",
+            "4      4\n",
+            "5      5\n",
+            "6      6\n",
+            "7      7\n",
+            "8      8\n",
+            "9      9\n",
+            "10    10\n",
+            "11    11\n",
+            "12    12\n",
+            "13    13\n",
+            "14    14\n",
+            "15    15\n",
+            "16    16\n",
+            "17    17\n",
+            "18    18\n",
+            "19    19\n",
+            "20    20\n",
+            "21    21\n",
+            "22    22\n",
+            "23    23\n",
+            "24    24\n",
+            "25    25\n",
+            "dtype: int64\n"
+          ],
+          "name": "stdout"
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "J5z-2CWAdH6N",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 476
+        },
+        "outputId": "96fbd118-de14-44ea-bcdb-705c13e0b51f"
+      },
+      "cell_type": "code",
+      "source": [
+        "series3 = pd.Series(alpha_numbers)\n",
+        "print(series3)"
+      ],
+      "execution_count": 6,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "A     0\n",
+            "B     1\n",
+            "C     2\n",
+            "D     3\n",
+            "E     4\n",
+            "F     5\n",
+            "G     6\n",
+            "H     7\n",
+            "I     8\n",
+            "J     9\n",
+            "K    10\n",
+            "L    11\n",
+            "M    12\n",
+            "N    13\n",
+            "O    14\n",
+            "P    15\n",
+            "Q    16\n",
+            "R    17\n",
+            "S    18\n",
+            "T    19\n",
+            "U    20\n",
+            "V    21\n",
+            "W    22\n",
+            "X    23\n",
+            "Y    24\n",
+            "Z    25\n",
+            "dtype: int64\n"
+          ],
+          "name": "stdout"
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "fYzblGGudKjO",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 374
+        },
+        "outputId": "721edece-a3ac-4a7e-be36-e1e40328d2c8"
+      },
+      "cell_type": "code",
+      "source": [
+        "#replace head() with head(n) where n can be any number between [0-25] and observe the output in deach case \n",
+        "series3.head(20)"
+      ],
+      "execution_count": 8,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "A     0\n",
+              "B     1\n",
+              "C     2\n",
+              "D     3\n",
+              "E     4\n",
+              "F     5\n",
+              "G     6\n",
+              "H     7\n",
+              "I     8\n",
+              "J     9\n",
+              "K    10\n",
+              "L    11\n",
+              "M    12\n",
+              "N    13\n",
+              "O    14\n",
+              "P    15\n",
+              "Q    16\n",
+              "R    17\n",
+              "S    18\n",
+              "T    19\n",
+              "dtype: int64"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 8
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "OwsJIf5feTtg",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "#### Create DataFrame from lists\n",
+        "\n",
+        "[DataFrame Doc](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.html)"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "73UTZ07EdWki",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 855
+        },
+        "outputId": "ae8e8bd7-11d2-4fb6-dd26-f9dfdbbcf1a9"
+      },
+      "cell_type": "code",
+      "source": [
+        "data = {'alphabets': alphabets, 'values': numbers}\n",
+        "\n",
+        "df = pd.DataFrame(data)\n",
+        "\n",
+        "#Lets Change the column `values` to `alpha_numbers`\n",
+        "\n",
+        "#df.columns = ['alphabets', 'alpha_numbers']\n",
+        "\n",
+        "df"
+      ],
+      "execution_count": 11,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>alphabets</th>\n",
+              "      <th>values</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>A</td>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>B</td>\n",
+              "      <td>1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>C</td>\n",
+              "      <td>2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>D</td>\n",
+              "      <td>3</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>E</td>\n",
+              "      <td>4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>5</th>\n",
+              "      <td>F</td>\n",
+              "      <td>5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>6</th>\n",
+              "      <td>G</td>\n",
+              "      <td>6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>7</th>\n",
+              "      <td>H</td>\n",
+              "      <td>7</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>8</th>\n",
+              "      <td>I</td>\n",
+              "      <td>8</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>9</th>\n",
+              "      <td>J</td>\n",
+              "      <td>9</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>10</th>\n",
+              "      <td>K</td>\n",
+              "      <td>10</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>11</th>\n",
+              "      <td>L</td>\n",
+              "      <td>11</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>12</th>\n",
+              "      <td>M</td>\n",
+              "      <td>12</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>13</th>\n",
+              "      <td>N</td>\n",
+              "      <td>13</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>14</th>\n",
+              "      <td>O</td>\n",
+              "      <td>14</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>15</th>\n",
+              "      <td>P</td>\n",
+              "      <td>15</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>16</th>\n",
+              "      <td>Q</td>\n",
+              "      <td>16</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>17</th>\n",
+              "      <td>R</td>\n",
+              "      <td>17</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>18</th>\n",
+              "      <td>S</td>\n",
+              "      <td>18</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>19</th>\n",
+              "      <td>T</td>\n",
+              "      <td>19</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>20</th>\n",
+              "      <td>U</td>\n",
+              "      <td>20</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>21</th>\n",
+              "      <td>V</td>\n",
+              "      <td>21</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>22</th>\n",
+              "      <td>W</td>\n",
+              "      <td>22</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>23</th>\n",
+              "      <td>X</td>\n",
+              "      <td>23</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>24</th>\n",
+              "      <td>Y</td>\n",
+              "      <td>24</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>25</th>\n",
+              "      <td>Z</td>\n",
+              "      <td>25</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "   alphabets  values\n",
+              "0          A       0\n",
+              "1          B       1\n",
+              "2          C       2\n",
+              "3          D       3\n",
+              "4          E       4\n",
+              "5          F       5\n",
+              "6          G       6\n",
+              "7          H       7\n",
+              "8          I       8\n",
+              "9          J       9\n",
+              "10         K      10\n",
+              "11         L      11\n",
+              "12         M      12\n",
+              "13         N      13\n",
+              "14         O      14\n",
+              "15         P      15\n",
+              "16         Q      16\n",
+              "17         R      17\n",
+              "18         S      18\n",
+              "19         T      19\n",
+              "20         U      20\n",
+              "21         V      21\n",
+              "22         W      22\n",
+              "23         X      23\n",
+              "24         Y      24\n",
+              "25         Z      25"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 11
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "uaK_1EO9etGS",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 140
+        },
+        "outputId": "8a7ed095-a63d-4b1d-e719-3bf1a4a0437c"
+      },
+      "cell_type": "code",
+      "source": [
+        "# transpose\n",
+        "\n",
+        "df.T\n",
+        "\n",
+        "# there are many more operations which we can perform look at the documentation with the subsequent exercises we will learn more"
+      ],
+      "execution_count": 12,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>0</th>\n",
+              "      <th>1</th>\n",
+              "      <th>2</th>\n",
+              "      <th>3</th>\n",
+              "      <th>4</th>\n",
+              "      <th>5</th>\n",
+              "      <th>6</th>\n",
+              "      <th>7</th>\n",
+              "      <th>8</th>\n",
+              "      <th>9</th>\n",
+              "      <th>...</th>\n",
+              "      <th>16</th>\n",
+              "      <th>17</th>\n",
+              "      <th>18</th>\n",
+              "      <th>19</th>\n",
+              "      <th>20</th>\n",
+              "      <th>21</th>\n",
+              "      <th>22</th>\n",
+              "      <th>23</th>\n",
+              "      <th>24</th>\n",
+              "      <th>25</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>alphabets</th>\n",
+              "      <td>A</td>\n",
+              "      <td>B</td>\n",
+              "      <td>C</td>\n",
+              "      <td>D</td>\n",
+              "      <td>E</td>\n",
+              "      <td>F</td>\n",
+              "      <td>G</td>\n",
+              "      <td>H</td>\n",
+              "      <td>I</td>\n",
+              "      <td>J</td>\n",
+              "      <td>...</td>\n",
+              "      <td>Q</td>\n",
+              "      <td>R</td>\n",
+              "      <td>S</td>\n",
+              "      <td>T</td>\n",
+              "      <td>U</td>\n",
+              "      <td>V</td>\n",
+              "      <td>W</td>\n",
+              "      <td>X</td>\n",
+              "      <td>Y</td>\n",
+              "      <td>Z</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>values</th>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>8</td>\n",
+              "      <td>9</td>\n",
+              "      <td>...</td>\n",
+              "      <td>16</td>\n",
+              "      <td>17</td>\n",
+              "      <td>18</td>\n",
+              "      <td>19</td>\n",
+              "      <td>20</td>\n",
+              "      <td>21</td>\n",
+              "      <td>22</td>\n",
+              "      <td>23</td>\n",
+              "      <td>24</td>\n",
+              "      <td>25</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "<p>2 rows × 26 columns</p>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "          0  1  2  3  4  5  6  7  8  9  ...  16  17  18  19  20  21  22  23  \\\n",
+              "alphabets  A  B  C  D  E  F  G  H  I  J ...   Q   R   S   T   U   V   W   X   \n",
+              "values     0  1  2  3  4  5  6  7  8  9 ...  16  17  18  19  20  21  22  23   \n",
+              "\n",
+              "           24  25  \n",
+              "alphabets   Y   Z  \n",
+              "values     24  25  \n",
+              "\n",
+              "[2 rows x 26 columns]"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 12
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "ZYonoaW8gEAJ",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "#### Extract Items from a series"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "tc1-KX_Bfe7U",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 204
+        },
+        "outputId": "4699fc83-bcd0-4b4a-ad74-dc362a1cbe4a"
+      },
+      "cell_type": "code",
+      "source": [
+        "ser = pd.Series(list('abcdefghijklmnopqrstuvwxyz'))\n",
+        "pos = [0, 4, 8, 14, 20]\n",
+        "\n",
+        "vowels = ser.take(pos)\n",
+        "\n",
+        "df = pd.DataFrame(vowels)#, columns=['vowels'])\n",
+        "\n",
+        "df.columns = ['vowels']\n",
+        "\n",
+        "#df.index = [0, 1, 2, 3, 4]\n",
+        "df\n",
+        "\n",
+        "\n"
+      ],
+      "execution_count": 20,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>vowels</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>a</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>e</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>8</th>\n",
+              "      <td>i</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>14</th>\n",
+              "      <td>o</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>20</th>\n",
+              "      <td>u</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "   vowels\n",
+              "0       a\n",
+              "4       e\n",
+              "8       i\n",
+              "14      o\n",
+              "20      u"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 20
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "cmDxwtDNjWpO",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "#### Change the first character of each word to upper case in each word of ser"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "5KagP9PpgV2F",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 34
+        },
+        "outputId": "1eb68607-3bd9-4e3c-b006-b5fdd037a7e4"
+      },
+      "cell_type": "code",
+      "source": [
+        "ser = pd.Series(['we', 'are', 'learning', 'pandas'])\n",
+        "\n",
+        "ser.map(lambda x : x.title())\n",
+        "\n",
+        "titles = [i.title() for i in ser]\n",
+        "\n",
+        "titles\n"
+      ],
+      "execution_count": 28,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "['We', 'Are', 'Learning', 'Pandas']"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 28
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "qn47ee-MkZN8",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "#### Reindexing"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "h5R0JL2NjuFS",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 204
+        },
+        "outputId": "cb61a5fe-6fb0-44bd-b73d-b1372d1d4bdc"
+      },
+      "cell_type": "code",
+      "source": [
+        "my_index = [1, 2, 3, 4, 5]\n",
+        "\n",
+        "df1 = pd.DataFrame({'upper values': ['A', 'B', 'C', 'D', 'E'],\n",
+        "                   'lower values': ['a', 'b', 'c', 'd', 'e']},\n",
+        "                  index = my_index)\n",
+        "\n",
+        "df1"
+      ],
+      "execution_count": 29,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>lower values</th>\n",
+              "      <th>upper values</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>a</td>\n",
+              "      <td>A</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>b</td>\n",
+              "      <td>B</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>c</td>\n",
+              "      <td>C</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>d</td>\n",
+              "      <td>D</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>5</th>\n",
+              "      <td>e</td>\n",
+              "      <td>E</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "  lower values upper values\n",
+              "1            a            A\n",
+              "2            b            B\n",
+              "3            c            C\n",
+              "4            d            D\n",
+              "5            e            E"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 29
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "G_Frvc3mk93k",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 204
+        },
+        "outputId": "ad2c0077-bf21-484e-ee9d-716dfd598113"
+      },
+      "cell_type": "code",
+      "source": [
+        "new_index = [2, 5, 4, 3, 1]\n",
+        "\n",
+        "df1.reindex(index = new_index)"
+      ],
+      "execution_count": 30,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>lower values</th>\n",
+              "      <th>upper values</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>b</td>\n",
+              "      <td>B</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>5</th>\n",
+              "      <td>e</td>\n",
+              "      <td>E</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>d</td>\n",
+              "      <td>D</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>c</td>\n",
+              "      <td>C</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>a</td>\n",
+              "      <td>A</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "  lower values upper values\n",
+              "2            b            B\n",
+              "5            e            E\n",
+              "4            d            D\n",
+              "3            c            C\n",
+              "1            a            A"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 30
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "adCU_4N1ca5r",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        ""
+      ],
+      "execution_count": 0,
+      "outputs": []
+    }
+  ]
+}
\ No newline at end of file
diff --git a/Exercise-checkpoint.ipynb b/Exercise-checkpoint.ipynb
new file mode 100644
index 0000000..02b14e5
--- /dev/null
+++ b/Exercise-checkpoint.ipynb
@@ -0,0 +1,3599 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "2LTtpUJEibjg"
+   },
+   "source": [
+    "# Pandas Exercise :\n",
+    "\n",
+    "\n",
+    "#### import necessary modules"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "c3_UBbMRhiKx"
+   },
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "tp-cTCyWi8mR"
+   },
+   "source": [
+    "#### Load url = \"https://archive.ics.uci.edu/ml/machine-learning-databases/wine/wine.data\" to a dataframe named wine_df\n",
+    "\n",
+    "This is a wine dataset\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "DMojQY3thrRi"
+   },
+   "outputs": [],
+   "source": [
+    "wine_df = pd.read_csv(\"https://archive.ics.uci.edu/ml/machine-learning-databases/wine/wine.data\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "BF9MMjoZjSlg"
+   },
+   "source": [
+    "#### print first five rows"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 204
+    },
+    "colab_type": "code",
+    "id": "1vSMQdnHjYNU",
+    "outputId": "d5521c9a-0974-41fe-b0a6-12c26fc828f3"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>1</th>\n",
+       "      <th>14.23</th>\n",
+       "      <th>1.71</th>\n",
+       "      <th>2.43</th>\n",
+       "      <th>15.6</th>\n",
+       "      <th>127</th>\n",
+       "      <th>2.8</th>\n",
+       "      <th>3.06</th>\n",
+       "      <th>.28</th>\n",
+       "      <th>2.29</th>\n",
+       "      <th>5.64</th>\n",
+       "      <th>1.04</th>\n",
+       "      <th>3.92</th>\n",
+       "      <th>1065</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>13.20</td>\n",
+       "      <td>1.78</td>\n",
+       "      <td>2.14</td>\n",
+       "      <td>11.2</td>\n",
+       "      <td>100</td>\n",
+       "      <td>2.65</td>\n",
+       "      <td>2.76</td>\n",
+       "      <td>0.26</td>\n",
+       "      <td>1.28</td>\n",
+       "      <td>4.38</td>\n",
+       "      <td>1.05</td>\n",
+       "      <td>3.40</td>\n",
+       "      <td>1050</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>13.16</td>\n",
+       "      <td>2.36</td>\n",
+       "      <td>2.67</td>\n",
+       "      <td>18.6</td>\n",
+       "      <td>101</td>\n",
+       "      <td>2.80</td>\n",
+       "      <td>3.24</td>\n",
+       "      <td>0.30</td>\n",
+       "      <td>2.81</td>\n",
+       "      <td>5.68</td>\n",
+       "      <td>1.03</td>\n",
+       "      <td>3.17</td>\n",
+       "      <td>1185</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1</td>\n",
+       "      <td>14.37</td>\n",
+       "      <td>1.95</td>\n",
+       "      <td>2.50</td>\n",
+       "      <td>16.8</td>\n",
+       "      <td>113</td>\n",
+       "      <td>3.85</td>\n",
+       "      <td>3.49</td>\n",
+       "      <td>0.24</td>\n",
+       "      <td>2.18</td>\n",
+       "      <td>7.80</td>\n",
+       "      <td>0.86</td>\n",
+       "      <td>3.45</td>\n",
+       "      <td>1480</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1</td>\n",
+       "      <td>13.24</td>\n",
+       "      <td>2.59</td>\n",
+       "      <td>2.87</td>\n",
+       "      <td>21.0</td>\n",
+       "      <td>118</td>\n",
+       "      <td>2.80</td>\n",
+       "      <td>2.69</td>\n",
+       "      <td>0.39</td>\n",
+       "      <td>1.82</td>\n",
+       "      <td>4.32</td>\n",
+       "      <td>1.04</td>\n",
+       "      <td>2.93</td>\n",
+       "      <td>735</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1</td>\n",
+       "      <td>14.20</td>\n",
+       "      <td>1.76</td>\n",
+       "      <td>2.45</td>\n",
+       "      <td>15.2</td>\n",
+       "      <td>112</td>\n",
+       "      <td>3.27</td>\n",
+       "      <td>3.39</td>\n",
+       "      <td>0.34</td>\n",
+       "      <td>1.97</td>\n",
+       "      <td>6.75</td>\n",
+       "      <td>1.05</td>\n",
+       "      <td>2.85</td>\n",
+       "      <td>1450</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   1  14.23  1.71  2.43  15.6  127   2.8  3.06   .28  2.29  5.64  1.04  3.92  \\\n",
+       "0  1  13.20  1.78  2.14  11.2  100  2.65  2.76  0.26  1.28  4.38  1.05  3.40   \n",
+       "1  1  13.16  2.36  2.67  18.6  101  2.80  3.24  0.30  2.81  5.68  1.03  3.17   \n",
+       "2  1  14.37  1.95  2.50  16.8  113  3.85  3.49  0.24  2.18  7.80  0.86  3.45   \n",
+       "3  1  13.24  2.59  2.87  21.0  118  2.80  2.69  0.39  1.82  4.32  1.04  2.93   \n",
+       "4  1  14.20  1.76  2.45  15.2  112  3.27  3.39  0.34  1.97  6.75  1.05  2.85   \n",
+       "\n",
+       "   1065  \n",
+       "0  1050  \n",
+       "1  1185  \n",
+       "2  1480  \n",
+       "3   735  \n",
+       "4  1450  "
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "wine_df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "Tet6P2DvjY3T"
+   },
+   "source": [
+    "#### assign wine_df to a different variable wine_df_copy and then delete all odd rows of wine_df_copy\n",
+    "\n",
+    "[Hint](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.drop.html)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 571
+    },
+    "colab_type": "code",
+    "id": "CMj3qSdJjx0u",
+    "outputId": "f466433c-6f8f-4188-dfd1-a9ddfdc71264"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>1</th>\n",
+       "      <th>14.23</th>\n",
+       "      <th>1.71</th>\n",
+       "      <th>2.43</th>\n",
+       "      <th>15.6</th>\n",
+       "      <th>127</th>\n",
+       "      <th>2.8</th>\n",
+       "      <th>3.06</th>\n",
+       "      <th>.28</th>\n",
+       "      <th>2.29</th>\n",
+       "      <th>5.64</th>\n",
+       "      <th>1.04</th>\n",
+       "      <th>3.92</th>\n",
+       "      <th>1065</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>13.20</td>\n",
+       "      <td>1.78</td>\n",
+       "      <td>2.14</td>\n",
+       "      <td>11.2</td>\n",
+       "      <td>100</td>\n",
+       "      <td>2.65</td>\n",
+       "      <td>2.76</td>\n",
+       "      <td>0.26</td>\n",
+       "      <td>1.28</td>\n",
+       "      <td>4.380000</td>\n",
+       "      <td>1.05</td>\n",
+       "      <td>3.40</td>\n",
+       "      <td>1050</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1</td>\n",
+       "      <td>14.37</td>\n",
+       "      <td>1.95</td>\n",
+       "      <td>2.50</td>\n",
+       "      <td>16.8</td>\n",
+       "      <td>113</td>\n",
+       "      <td>3.85</td>\n",
+       "      <td>3.49</td>\n",
+       "      <td>0.24</td>\n",
+       "      <td>2.18</td>\n",
+       "      <td>7.800000</td>\n",
+       "      <td>0.86</td>\n",
+       "      <td>3.45</td>\n",
+       "      <td>1480</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1</td>\n",
+       "      <td>14.20</td>\n",
+       "      <td>1.76</td>\n",
+       "      <td>2.45</td>\n",
+       "      <td>15.2</td>\n",
+       "      <td>112</td>\n",
+       "      <td>3.27</td>\n",
+       "      <td>3.39</td>\n",
+       "      <td>0.34</td>\n",
+       "      <td>1.97</td>\n",
+       "      <td>6.750000</td>\n",
+       "      <td>1.05</td>\n",
+       "      <td>2.85</td>\n",
+       "      <td>1450</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>1</td>\n",
+       "      <td>14.06</td>\n",
+       "      <td>2.15</td>\n",
+       "      <td>2.61</td>\n",
+       "      <td>17.6</td>\n",
+       "      <td>121</td>\n",
+       "      <td>2.60</td>\n",
+       "      <td>2.51</td>\n",
+       "      <td>0.31</td>\n",
+       "      <td>1.25</td>\n",
+       "      <td>5.050000</td>\n",
+       "      <td>1.06</td>\n",
+       "      <td>3.58</td>\n",
+       "      <td>1295</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>1</td>\n",
+       "      <td>13.86</td>\n",
+       "      <td>1.35</td>\n",
+       "      <td>2.27</td>\n",
+       "      <td>16.0</td>\n",
+       "      <td>98</td>\n",
+       "      <td>2.98</td>\n",
+       "      <td>3.15</td>\n",
+       "      <td>0.22</td>\n",
+       "      <td>1.85</td>\n",
+       "      <td>7.220000</td>\n",
+       "      <td>1.01</td>\n",
+       "      <td>3.55</td>\n",
+       "      <td>1045</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>1</td>\n",
+       "      <td>14.12</td>\n",
+       "      <td>1.48</td>\n",
+       "      <td>2.32</td>\n",
+       "      <td>16.8</td>\n",
+       "      <td>95</td>\n",
+       "      <td>2.20</td>\n",
+       "      <td>2.43</td>\n",
+       "      <td>0.26</td>\n",
+       "      <td>1.57</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>1.17</td>\n",
+       "      <td>2.82</td>\n",
+       "      <td>1280</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>1</td>\n",
+       "      <td>14.75</td>\n",
+       "      <td>1.73</td>\n",
+       "      <td>2.39</td>\n",
+       "      <td>11.4</td>\n",
+       "      <td>91</td>\n",
+       "      <td>3.10</td>\n",
+       "      <td>3.69</td>\n",
+       "      <td>0.43</td>\n",
+       "      <td>2.81</td>\n",
+       "      <td>5.400000</td>\n",
+       "      <td>1.25</td>\n",
+       "      <td>2.73</td>\n",
+       "      <td>1150</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>1</td>\n",
+       "      <td>13.63</td>\n",
+       "      <td>1.81</td>\n",
+       "      <td>2.70</td>\n",
+       "      <td>17.2</td>\n",
+       "      <td>112</td>\n",
+       "      <td>2.85</td>\n",
+       "      <td>2.91</td>\n",
+       "      <td>0.30</td>\n",
+       "      <td>1.46</td>\n",
+       "      <td>7.300000</td>\n",
+       "      <td>1.28</td>\n",
+       "      <td>2.88</td>\n",
+       "      <td>1310</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>1</td>\n",
+       "      <td>13.83</td>\n",
+       "      <td>1.57</td>\n",
+       "      <td>2.62</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>115</td>\n",
+       "      <td>2.95</td>\n",
+       "      <td>3.40</td>\n",
+       "      <td>0.40</td>\n",
+       "      <td>1.72</td>\n",
+       "      <td>6.600000</td>\n",
+       "      <td>1.13</td>\n",
+       "      <td>2.57</td>\n",
+       "      <td>1130</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>1</td>\n",
+       "      <td>13.64</td>\n",
+       "      <td>3.10</td>\n",
+       "      <td>2.56</td>\n",
+       "      <td>15.2</td>\n",
+       "      <td>116</td>\n",
+       "      <td>2.70</td>\n",
+       "      <td>3.03</td>\n",
+       "      <td>0.17</td>\n",
+       "      <td>1.66</td>\n",
+       "      <td>5.100000</td>\n",
+       "      <td>0.96</td>\n",
+       "      <td>3.36</td>\n",
+       "      <td>845</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>1</td>\n",
+       "      <td>12.93</td>\n",
+       "      <td>3.80</td>\n",
+       "      <td>2.65</td>\n",
+       "      <td>18.6</td>\n",
+       "      <td>102</td>\n",
+       "      <td>2.41</td>\n",
+       "      <td>2.41</td>\n",
+       "      <td>0.25</td>\n",
+       "      <td>1.98</td>\n",
+       "      <td>4.500000</td>\n",
+       "      <td>1.03</td>\n",
+       "      <td>3.52</td>\n",
+       "      <td>770</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>1</td>\n",
+       "      <td>12.85</td>\n",
+       "      <td>1.60</td>\n",
+       "      <td>2.52</td>\n",
+       "      <td>17.8</td>\n",
+       "      <td>95</td>\n",
+       "      <td>2.48</td>\n",
+       "      <td>2.37</td>\n",
+       "      <td>0.26</td>\n",
+       "      <td>1.46</td>\n",
+       "      <td>3.930000</td>\n",
+       "      <td>1.09</td>\n",
+       "      <td>3.63</td>\n",
+       "      <td>1015</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>1</td>\n",
+       "      <td>13.05</td>\n",
+       "      <td>2.05</td>\n",
+       "      <td>3.22</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>124</td>\n",
+       "      <td>2.63</td>\n",
+       "      <td>2.68</td>\n",
+       "      <td>0.47</td>\n",
+       "      <td>1.92</td>\n",
+       "      <td>3.580000</td>\n",
+       "      <td>1.13</td>\n",
+       "      <td>3.20</td>\n",
+       "      <td>830</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>1</td>\n",
+       "      <td>13.30</td>\n",
+       "      <td>1.72</td>\n",
+       "      <td>2.14</td>\n",
+       "      <td>17.0</td>\n",
+       "      <td>94</td>\n",
+       "      <td>2.40</td>\n",
+       "      <td>2.19</td>\n",
+       "      <td>0.27</td>\n",
+       "      <td>1.35</td>\n",
+       "      <td>3.950000</td>\n",
+       "      <td>1.02</td>\n",
+       "      <td>2.77</td>\n",
+       "      <td>1285</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>1</td>\n",
+       "      <td>14.02</td>\n",
+       "      <td>1.68</td>\n",
+       "      <td>2.21</td>\n",
+       "      <td>16.0</td>\n",
+       "      <td>96</td>\n",
+       "      <td>2.65</td>\n",
+       "      <td>2.33</td>\n",
+       "      <td>0.26</td>\n",
+       "      <td>1.98</td>\n",
+       "      <td>4.700000</td>\n",
+       "      <td>1.04</td>\n",
+       "      <td>3.59</td>\n",
+       "      <td>1035</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>30</th>\n",
+       "      <td>1</td>\n",
+       "      <td>13.58</td>\n",
+       "      <td>1.66</td>\n",
+       "      <td>2.36</td>\n",
+       "      <td>19.1</td>\n",
+       "      <td>106</td>\n",
+       "      <td>2.86</td>\n",
+       "      <td>3.19</td>\n",
+       "      <td>0.22</td>\n",
+       "      <td>1.95</td>\n",
+       "      <td>6.900000</td>\n",
+       "      <td>1.09</td>\n",
+       "      <td>2.88</td>\n",
+       "      <td>1515</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32</th>\n",
+       "      <td>1</td>\n",
+       "      <td>13.76</td>\n",
+       "      <td>1.53</td>\n",
+       "      <td>2.70</td>\n",
+       "      <td>19.5</td>\n",
+       "      <td>132</td>\n",
+       "      <td>2.95</td>\n",
+       "      <td>2.74</td>\n",
+       "      <td>0.50</td>\n",
+       "      <td>1.35</td>\n",
+       "      <td>5.400000</td>\n",
+       "      <td>1.25</td>\n",
+       "      <td>3.00</td>\n",
+       "      <td>1235</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>34</th>\n",
+       "      <td>1</td>\n",
+       "      <td>13.48</td>\n",
+       "      <td>1.81</td>\n",
+       "      <td>2.41</td>\n",
+       "      <td>20.5</td>\n",
+       "      <td>100</td>\n",
+       "      <td>2.70</td>\n",
+       "      <td>2.98</td>\n",
+       "      <td>0.26</td>\n",
+       "      <td>1.86</td>\n",
+       "      <td>5.100000</td>\n",
+       "      <td>1.04</td>\n",
+       "      <td>3.47</td>\n",
+       "      <td>920</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>36</th>\n",
+       "      <td>1</td>\n",
+       "      <td>13.05</td>\n",
+       "      <td>1.65</td>\n",
+       "      <td>2.55</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>98</td>\n",
+       "      <td>2.45</td>\n",
+       "      <td>2.43</td>\n",
+       "      <td>0.29</td>\n",
+       "      <td>1.44</td>\n",
+       "      <td>4.250000</td>\n",
+       "      <td>1.12</td>\n",
+       "      <td>2.51</td>\n",
+       "      <td>1105</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38</th>\n",
+       "      <td>1</td>\n",
+       "      <td>14.22</td>\n",
+       "      <td>3.99</td>\n",
+       "      <td>2.51</td>\n",
+       "      <td>13.2</td>\n",
+       "      <td>128</td>\n",
+       "      <td>3.00</td>\n",
+       "      <td>3.04</td>\n",
+       "      <td>0.20</td>\n",
+       "      <td>2.08</td>\n",
+       "      <td>5.100000</td>\n",
+       "      <td>0.89</td>\n",
+       "      <td>3.53</td>\n",
+       "      <td>760</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>40</th>\n",
+       "      <td>1</td>\n",
+       "      <td>13.41</td>\n",
+       "      <td>3.84</td>\n",
+       "      <td>2.12</td>\n",
+       "      <td>18.8</td>\n",
+       "      <td>90</td>\n",
+       "      <td>2.45</td>\n",
+       "      <td>2.68</td>\n",
+       "      <td>0.27</td>\n",
+       "      <td>1.48</td>\n",
+       "      <td>4.280000</td>\n",
+       "      <td>0.91</td>\n",
+       "      <td>3.00</td>\n",
+       "      <td>1035</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>42</th>\n",
+       "      <td>1</td>\n",
+       "      <td>13.24</td>\n",
+       "      <td>3.98</td>\n",
+       "      <td>2.29</td>\n",
+       "      <td>17.5</td>\n",
+       "      <td>103</td>\n",
+       "      <td>2.64</td>\n",
+       "      <td>2.63</td>\n",
+       "      <td>0.32</td>\n",
+       "      <td>1.66</td>\n",
+       "      <td>4.360000</td>\n",
+       "      <td>0.82</td>\n",
+       "      <td>3.00</td>\n",
+       "      <td>680</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>44</th>\n",
+       "      <td>1</td>\n",
+       "      <td>14.21</td>\n",
+       "      <td>4.04</td>\n",
+       "      <td>2.44</td>\n",
+       "      <td>18.9</td>\n",
+       "      <td>111</td>\n",
+       "      <td>2.85</td>\n",
+       "      <td>2.65</td>\n",
+       "      <td>0.30</td>\n",
+       "      <td>1.25</td>\n",
+       "      <td>5.240000</td>\n",
+       "      <td>0.87</td>\n",
+       "      <td>3.33</td>\n",
+       "      <td>1080</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>46</th>\n",
+       "      <td>1</td>\n",
+       "      <td>13.90</td>\n",
+       "      <td>1.68</td>\n",
+       "      <td>2.12</td>\n",
+       "      <td>16.0</td>\n",
+       "      <td>101</td>\n",
+       "      <td>3.10</td>\n",
+       "      <td>3.39</td>\n",
+       "      <td>0.21</td>\n",
+       "      <td>2.14</td>\n",
+       "      <td>6.100000</td>\n",
+       "      <td>0.91</td>\n",
+       "      <td>3.33</td>\n",
+       "      <td>985</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>48</th>\n",
+       "      <td>1</td>\n",
+       "      <td>13.94</td>\n",
+       "      <td>1.73</td>\n",
+       "      <td>2.27</td>\n",
+       "      <td>17.4</td>\n",
+       "      <td>108</td>\n",
+       "      <td>2.88</td>\n",
+       "      <td>3.54</td>\n",
+       "      <td>0.32</td>\n",
+       "      <td>2.08</td>\n",
+       "      <td>8.900000</td>\n",
+       "      <td>1.12</td>\n",
+       "      <td>3.10</td>\n",
+       "      <td>1260</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50</th>\n",
+       "      <td>1</td>\n",
+       "      <td>13.83</td>\n",
+       "      <td>1.65</td>\n",
+       "      <td>2.60</td>\n",
+       "      <td>17.2</td>\n",
+       "      <td>94</td>\n",
+       "      <td>2.45</td>\n",
+       "      <td>2.99</td>\n",
+       "      <td>0.22</td>\n",
+       "      <td>2.29</td>\n",
+       "      <td>5.600000</td>\n",
+       "      <td>1.24</td>\n",
+       "      <td>3.37</td>\n",
+       "      <td>1265</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>52</th>\n",
+       "      <td>1</td>\n",
+       "      <td>13.77</td>\n",
+       "      <td>1.90</td>\n",
+       "      <td>2.68</td>\n",
+       "      <td>17.1</td>\n",
+       "      <td>115</td>\n",
+       "      <td>3.00</td>\n",
+       "      <td>2.79</td>\n",
+       "      <td>0.39</td>\n",
+       "      <td>1.68</td>\n",
+       "      <td>6.300000</td>\n",
+       "      <td>1.13</td>\n",
+       "      <td>2.93</td>\n",
+       "      <td>1375</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>54</th>\n",
+       "      <td>1</td>\n",
+       "      <td>13.56</td>\n",
+       "      <td>1.73</td>\n",
+       "      <td>2.46</td>\n",
+       "      <td>20.5</td>\n",
+       "      <td>116</td>\n",
+       "      <td>2.96</td>\n",
+       "      <td>2.78</td>\n",
+       "      <td>0.20</td>\n",
+       "      <td>2.45</td>\n",
+       "      <td>6.250000</td>\n",
+       "      <td>0.98</td>\n",
+       "      <td>3.03</td>\n",
+       "      <td>1120</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>56</th>\n",
+       "      <td>1</td>\n",
+       "      <td>13.29</td>\n",
+       "      <td>1.97</td>\n",
+       "      <td>2.68</td>\n",
+       "      <td>16.8</td>\n",
+       "      <td>102</td>\n",
+       "      <td>3.00</td>\n",
+       "      <td>3.23</td>\n",
+       "      <td>0.31</td>\n",
+       "      <td>1.66</td>\n",
+       "      <td>6.000000</td>\n",
+       "      <td>1.07</td>\n",
+       "      <td>2.84</td>\n",
+       "      <td>1270</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>58</th>\n",
+       "      <td>2</td>\n",
+       "      <td>12.37</td>\n",
+       "      <td>0.94</td>\n",
+       "      <td>1.36</td>\n",
+       "      <td>10.6</td>\n",
+       "      <td>88</td>\n",
+       "      <td>1.98</td>\n",
+       "      <td>0.57</td>\n",
+       "      <td>0.28</td>\n",
+       "      <td>0.42</td>\n",
+       "      <td>1.950000</td>\n",
+       "      <td>1.05</td>\n",
+       "      <td>1.82</td>\n",
+       "      <td>520</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>118</th>\n",
+       "      <td>2</td>\n",
+       "      <td>12.00</td>\n",
+       "      <td>3.43</td>\n",
+       "      <td>2.00</td>\n",
+       "      <td>19.0</td>\n",
+       "      <td>87</td>\n",
+       "      <td>2.00</td>\n",
+       "      <td>1.64</td>\n",
+       "      <td>0.37</td>\n",
+       "      <td>1.87</td>\n",
+       "      <td>1.280000</td>\n",
+       "      <td>0.93</td>\n",
+       "      <td>3.05</td>\n",
+       "      <td>564</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>120</th>\n",
+       "      <td>2</td>\n",
+       "      <td>11.56</td>\n",
+       "      <td>2.05</td>\n",
+       "      <td>3.23</td>\n",
+       "      <td>28.5</td>\n",
+       "      <td>119</td>\n",
+       "      <td>3.18</td>\n",
+       "      <td>5.08</td>\n",
+       "      <td>0.47</td>\n",
+       "      <td>1.87</td>\n",
+       "      <td>6.000000</td>\n",
+       "      <td>0.93</td>\n",
+       "      <td>3.69</td>\n",
+       "      <td>465</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>122</th>\n",
+       "      <td>2</td>\n",
+       "      <td>13.05</td>\n",
+       "      <td>5.80</td>\n",
+       "      <td>2.13</td>\n",
+       "      <td>21.5</td>\n",
+       "      <td>86</td>\n",
+       "      <td>2.62</td>\n",
+       "      <td>2.65</td>\n",
+       "      <td>0.30</td>\n",
+       "      <td>2.01</td>\n",
+       "      <td>2.600000</td>\n",
+       "      <td>0.73</td>\n",
+       "      <td>3.10</td>\n",
+       "      <td>380</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>124</th>\n",
+       "      <td>2</td>\n",
+       "      <td>12.07</td>\n",
+       "      <td>2.16</td>\n",
+       "      <td>2.17</td>\n",
+       "      <td>21.0</td>\n",
+       "      <td>85</td>\n",
+       "      <td>2.60</td>\n",
+       "      <td>2.65</td>\n",
+       "      <td>0.37</td>\n",
+       "      <td>1.35</td>\n",
+       "      <td>2.760000</td>\n",
+       "      <td>0.86</td>\n",
+       "      <td>3.28</td>\n",
+       "      <td>378</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>126</th>\n",
+       "      <td>2</td>\n",
+       "      <td>11.79</td>\n",
+       "      <td>2.13</td>\n",
+       "      <td>2.78</td>\n",
+       "      <td>28.5</td>\n",
+       "      <td>92</td>\n",
+       "      <td>2.13</td>\n",
+       "      <td>2.24</td>\n",
+       "      <td>0.58</td>\n",
+       "      <td>1.76</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>0.97</td>\n",
+       "      <td>2.44</td>\n",
+       "      <td>466</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>128</th>\n",
+       "      <td>2</td>\n",
+       "      <td>12.04</td>\n",
+       "      <td>4.30</td>\n",
+       "      <td>2.38</td>\n",
+       "      <td>22.0</td>\n",
+       "      <td>80</td>\n",
+       "      <td>2.10</td>\n",
+       "      <td>1.75</td>\n",
+       "      <td>0.42</td>\n",
+       "      <td>1.35</td>\n",
+       "      <td>2.600000</td>\n",
+       "      <td>0.79</td>\n",
+       "      <td>2.57</td>\n",
+       "      <td>580</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>130</th>\n",
+       "      <td>3</td>\n",
+       "      <td>12.88</td>\n",
+       "      <td>2.99</td>\n",
+       "      <td>2.40</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>104</td>\n",
+       "      <td>1.30</td>\n",
+       "      <td>1.22</td>\n",
+       "      <td>0.24</td>\n",
+       "      <td>0.83</td>\n",
+       "      <td>5.400000</td>\n",
+       "      <td>0.74</td>\n",
+       "      <td>1.42</td>\n",
+       "      <td>530</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>132</th>\n",
+       "      <td>3</td>\n",
+       "      <td>12.70</td>\n",
+       "      <td>3.55</td>\n",
+       "      <td>2.36</td>\n",
+       "      <td>21.5</td>\n",
+       "      <td>106</td>\n",
+       "      <td>1.70</td>\n",
+       "      <td>1.20</td>\n",
+       "      <td>0.17</td>\n",
+       "      <td>0.84</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>0.78</td>\n",
+       "      <td>1.29</td>\n",
+       "      <td>600</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>134</th>\n",
+       "      <td>3</td>\n",
+       "      <td>12.60</td>\n",
+       "      <td>2.46</td>\n",
+       "      <td>2.20</td>\n",
+       "      <td>18.5</td>\n",
+       "      <td>94</td>\n",
+       "      <td>1.62</td>\n",
+       "      <td>0.66</td>\n",
+       "      <td>0.63</td>\n",
+       "      <td>0.94</td>\n",
+       "      <td>7.100000</td>\n",
+       "      <td>0.73</td>\n",
+       "      <td>1.58</td>\n",
+       "      <td>695</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>136</th>\n",
+       "      <td>3</td>\n",
+       "      <td>12.53</td>\n",
+       "      <td>5.51</td>\n",
+       "      <td>2.64</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>96</td>\n",
+       "      <td>1.79</td>\n",
+       "      <td>0.60</td>\n",
+       "      <td>0.63</td>\n",
+       "      <td>1.10</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>0.82</td>\n",
+       "      <td>1.69</td>\n",
+       "      <td>515</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>138</th>\n",
+       "      <td>3</td>\n",
+       "      <td>12.84</td>\n",
+       "      <td>2.96</td>\n",
+       "      <td>2.61</td>\n",
+       "      <td>24.0</td>\n",
+       "      <td>101</td>\n",
+       "      <td>2.32</td>\n",
+       "      <td>0.60</td>\n",
+       "      <td>0.53</td>\n",
+       "      <td>0.81</td>\n",
+       "      <td>4.920000</td>\n",
+       "      <td>0.89</td>\n",
+       "      <td>2.15</td>\n",
+       "      <td>590</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>140</th>\n",
+       "      <td>3</td>\n",
+       "      <td>13.36</td>\n",
+       "      <td>2.56</td>\n",
+       "      <td>2.35</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>89</td>\n",
+       "      <td>1.40</td>\n",
+       "      <td>0.50</td>\n",
+       "      <td>0.37</td>\n",
+       "      <td>0.64</td>\n",
+       "      <td>5.600000</td>\n",
+       "      <td>0.70</td>\n",
+       "      <td>2.47</td>\n",
+       "      <td>780</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>142</th>\n",
+       "      <td>3</td>\n",
+       "      <td>13.62</td>\n",
+       "      <td>4.95</td>\n",
+       "      <td>2.35</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>92</td>\n",
+       "      <td>2.00</td>\n",
+       "      <td>0.80</td>\n",
+       "      <td>0.47</td>\n",
+       "      <td>1.02</td>\n",
+       "      <td>4.400000</td>\n",
+       "      <td>0.91</td>\n",
+       "      <td>2.05</td>\n",
+       "      <td>550</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>144</th>\n",
+       "      <td>3</td>\n",
+       "      <td>13.16</td>\n",
+       "      <td>3.57</td>\n",
+       "      <td>2.15</td>\n",
+       "      <td>21.0</td>\n",
+       "      <td>102</td>\n",
+       "      <td>1.50</td>\n",
+       "      <td>0.55</td>\n",
+       "      <td>0.43</td>\n",
+       "      <td>1.30</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>0.60</td>\n",
+       "      <td>1.68</td>\n",
+       "      <td>830</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>146</th>\n",
+       "      <td>3</td>\n",
+       "      <td>12.87</td>\n",
+       "      <td>4.61</td>\n",
+       "      <td>2.48</td>\n",
+       "      <td>21.5</td>\n",
+       "      <td>86</td>\n",
+       "      <td>1.70</td>\n",
+       "      <td>0.65</td>\n",
+       "      <td>0.47</td>\n",
+       "      <td>0.86</td>\n",
+       "      <td>7.650000</td>\n",
+       "      <td>0.54</td>\n",
+       "      <td>1.86</td>\n",
+       "      <td>625</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>148</th>\n",
+       "      <td>3</td>\n",
+       "      <td>13.08</td>\n",
+       "      <td>3.90</td>\n",
+       "      <td>2.36</td>\n",
+       "      <td>21.5</td>\n",
+       "      <td>113</td>\n",
+       "      <td>1.41</td>\n",
+       "      <td>1.39</td>\n",
+       "      <td>0.34</td>\n",
+       "      <td>1.14</td>\n",
+       "      <td>9.400000</td>\n",
+       "      <td>0.57</td>\n",
+       "      <td>1.33</td>\n",
+       "      <td>550</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>150</th>\n",
+       "      <td>3</td>\n",
+       "      <td>12.79</td>\n",
+       "      <td>2.67</td>\n",
+       "      <td>2.48</td>\n",
+       "      <td>22.0</td>\n",
+       "      <td>112</td>\n",
+       "      <td>1.48</td>\n",
+       "      <td>1.36</td>\n",
+       "      <td>0.24</td>\n",
+       "      <td>1.26</td>\n",
+       "      <td>10.800000</td>\n",
+       "      <td>0.48</td>\n",
+       "      <td>1.47</td>\n",
+       "      <td>480</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>152</th>\n",
+       "      <td>3</td>\n",
+       "      <td>13.23</td>\n",
+       "      <td>3.30</td>\n",
+       "      <td>2.28</td>\n",
+       "      <td>18.5</td>\n",
+       "      <td>98</td>\n",
+       "      <td>1.80</td>\n",
+       "      <td>0.83</td>\n",
+       "      <td>0.61</td>\n",
+       "      <td>1.87</td>\n",
+       "      <td>10.520000</td>\n",
+       "      <td>0.56</td>\n",
+       "      <td>1.51</td>\n",
+       "      <td>675</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>154</th>\n",
+       "      <td>3</td>\n",
+       "      <td>13.17</td>\n",
+       "      <td>5.19</td>\n",
+       "      <td>2.32</td>\n",
+       "      <td>22.0</td>\n",
+       "      <td>93</td>\n",
+       "      <td>1.74</td>\n",
+       "      <td>0.63</td>\n",
+       "      <td>0.61</td>\n",
+       "      <td>1.55</td>\n",
+       "      <td>7.900000</td>\n",
+       "      <td>0.60</td>\n",
+       "      <td>1.48</td>\n",
+       "      <td>725</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>156</th>\n",
+       "      <td>3</td>\n",
+       "      <td>12.45</td>\n",
+       "      <td>3.03</td>\n",
+       "      <td>2.64</td>\n",
+       "      <td>27.0</td>\n",
+       "      <td>97</td>\n",
+       "      <td>1.90</td>\n",
+       "      <td>0.58</td>\n",
+       "      <td>0.63</td>\n",
+       "      <td>1.14</td>\n",
+       "      <td>7.500000</td>\n",
+       "      <td>0.67</td>\n",
+       "      <td>1.73</td>\n",
+       "      <td>880</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>158</th>\n",
+       "      <td>3</td>\n",
+       "      <td>13.48</td>\n",
+       "      <td>1.67</td>\n",
+       "      <td>2.64</td>\n",
+       "      <td>22.5</td>\n",
+       "      <td>89</td>\n",
+       "      <td>2.60</td>\n",
+       "      <td>1.10</td>\n",
+       "      <td>0.52</td>\n",
+       "      <td>2.29</td>\n",
+       "      <td>11.750000</td>\n",
+       "      <td>0.57</td>\n",
+       "      <td>1.78</td>\n",
+       "      <td>620</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>160</th>\n",
+       "      <td>3</td>\n",
+       "      <td>13.69</td>\n",
+       "      <td>3.26</td>\n",
+       "      <td>2.54</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>107</td>\n",
+       "      <td>1.83</td>\n",
+       "      <td>0.56</td>\n",
+       "      <td>0.50</td>\n",
+       "      <td>0.80</td>\n",
+       "      <td>5.880000</td>\n",
+       "      <td>0.96</td>\n",
+       "      <td>1.82</td>\n",
+       "      <td>680</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>162</th>\n",
+       "      <td>3</td>\n",
+       "      <td>12.96</td>\n",
+       "      <td>3.45</td>\n",
+       "      <td>2.35</td>\n",
+       "      <td>18.5</td>\n",
+       "      <td>106</td>\n",
+       "      <td>1.39</td>\n",
+       "      <td>0.70</td>\n",
+       "      <td>0.40</td>\n",
+       "      <td>0.94</td>\n",
+       "      <td>5.280000</td>\n",
+       "      <td>0.68</td>\n",
+       "      <td>1.75</td>\n",
+       "      <td>675</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>164</th>\n",
+       "      <td>3</td>\n",
+       "      <td>13.73</td>\n",
+       "      <td>4.36</td>\n",
+       "      <td>2.26</td>\n",
+       "      <td>22.5</td>\n",
+       "      <td>88</td>\n",
+       "      <td>1.28</td>\n",
+       "      <td>0.47</td>\n",
+       "      <td>0.52</td>\n",
+       "      <td>1.15</td>\n",
+       "      <td>6.620000</td>\n",
+       "      <td>0.78</td>\n",
+       "      <td>1.75</td>\n",
+       "      <td>520</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>166</th>\n",
+       "      <td>3</td>\n",
+       "      <td>12.82</td>\n",
+       "      <td>3.37</td>\n",
+       "      <td>2.30</td>\n",
+       "      <td>19.5</td>\n",
+       "      <td>88</td>\n",
+       "      <td>1.48</td>\n",
+       "      <td>0.66</td>\n",
+       "      <td>0.40</td>\n",
+       "      <td>0.97</td>\n",
+       "      <td>10.260000</td>\n",
+       "      <td>0.72</td>\n",
+       "      <td>1.75</td>\n",
+       "      <td>685</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>168</th>\n",
+       "      <td>3</td>\n",
+       "      <td>13.40</td>\n",
+       "      <td>4.60</td>\n",
+       "      <td>2.86</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>112</td>\n",
+       "      <td>1.98</td>\n",
+       "      <td>0.96</td>\n",
+       "      <td>0.27</td>\n",
+       "      <td>1.11</td>\n",
+       "      <td>8.500000</td>\n",
+       "      <td>0.67</td>\n",
+       "      <td>1.92</td>\n",
+       "      <td>630</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>170</th>\n",
+       "      <td>3</td>\n",
+       "      <td>12.77</td>\n",
+       "      <td>2.39</td>\n",
+       "      <td>2.28</td>\n",
+       "      <td>19.5</td>\n",
+       "      <td>86</td>\n",
+       "      <td>1.39</td>\n",
+       "      <td>0.51</td>\n",
+       "      <td>0.48</td>\n",
+       "      <td>0.64</td>\n",
+       "      <td>9.899999</td>\n",
+       "      <td>0.57</td>\n",
+       "      <td>1.63</td>\n",
+       "      <td>470</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>172</th>\n",
+       "      <td>3</td>\n",
+       "      <td>13.71</td>\n",
+       "      <td>5.65</td>\n",
+       "      <td>2.45</td>\n",
+       "      <td>20.5</td>\n",
+       "      <td>95</td>\n",
+       "      <td>1.68</td>\n",
+       "      <td>0.61</td>\n",
+       "      <td>0.52</td>\n",
+       "      <td>1.06</td>\n",
+       "      <td>7.700000</td>\n",
+       "      <td>0.64</td>\n",
+       "      <td>1.74</td>\n",
+       "      <td>740</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>174</th>\n",
+       "      <td>3</td>\n",
+       "      <td>13.27</td>\n",
+       "      <td>4.28</td>\n",
+       "      <td>2.26</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>120</td>\n",
+       "      <td>1.59</td>\n",
+       "      <td>0.69</td>\n",
+       "      <td>0.43</td>\n",
+       "      <td>1.35</td>\n",
+       "      <td>10.200000</td>\n",
+       "      <td>0.59</td>\n",
+       "      <td>1.56</td>\n",
+       "      <td>835</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>176</th>\n",
+       "      <td>3</td>\n",
+       "      <td>14.13</td>\n",
+       "      <td>4.10</td>\n",
+       "      <td>2.74</td>\n",
+       "      <td>24.5</td>\n",
+       "      <td>96</td>\n",
+       "      <td>2.05</td>\n",
+       "      <td>0.76</td>\n",
+       "      <td>0.56</td>\n",
+       "      <td>1.35</td>\n",
+       "      <td>9.200000</td>\n",
+       "      <td>0.61</td>\n",
+       "      <td>1.60</td>\n",
+       "      <td>560</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>89 rows × 14 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     1  14.23  1.71  2.43  15.6  127   2.8  3.06   .28  2.29       5.64  1.04  \\\n",
+       "0    1  13.20  1.78  2.14  11.2  100  2.65  2.76  0.26  1.28   4.380000  1.05   \n",
+       "2    1  14.37  1.95  2.50  16.8  113  3.85  3.49  0.24  2.18   7.800000  0.86   \n",
+       "4    1  14.20  1.76  2.45  15.2  112  3.27  3.39  0.34  1.97   6.750000  1.05   \n",
+       "6    1  14.06  2.15  2.61  17.6  121  2.60  2.51  0.31  1.25   5.050000  1.06   \n",
+       "8    1  13.86  1.35  2.27  16.0   98  2.98  3.15  0.22  1.85   7.220000  1.01   \n",
+       "10   1  14.12  1.48  2.32  16.8   95  2.20  2.43  0.26  1.57   5.000000  1.17   \n",
+       "12   1  14.75  1.73  2.39  11.4   91  3.10  3.69  0.43  2.81   5.400000  1.25   \n",
+       "14   1  13.63  1.81  2.70  17.2  112  2.85  2.91  0.30  1.46   7.300000  1.28   \n",
+       "16   1  13.83  1.57  2.62  20.0  115  2.95  3.40  0.40  1.72   6.600000  1.13   \n",
+       "18   1  13.64  3.10  2.56  15.2  116  2.70  3.03  0.17  1.66   5.100000  0.96   \n",
+       "20   1  12.93  3.80  2.65  18.6  102  2.41  2.41  0.25  1.98   4.500000  1.03   \n",
+       "22   1  12.85  1.60  2.52  17.8   95  2.48  2.37  0.26  1.46   3.930000  1.09   \n",
+       "24   1  13.05  2.05  3.22  25.0  124  2.63  2.68  0.47  1.92   3.580000  1.13   \n",
+       "26   1  13.30  1.72  2.14  17.0   94  2.40  2.19  0.27  1.35   3.950000  1.02   \n",
+       "28   1  14.02  1.68  2.21  16.0   96  2.65  2.33  0.26  1.98   4.700000  1.04   \n",
+       "30   1  13.58  1.66  2.36  19.1  106  2.86  3.19  0.22  1.95   6.900000  1.09   \n",
+       "32   1  13.76  1.53  2.70  19.5  132  2.95  2.74  0.50  1.35   5.400000  1.25   \n",
+       "34   1  13.48  1.81  2.41  20.5  100  2.70  2.98  0.26  1.86   5.100000  1.04   \n",
+       "36   1  13.05  1.65  2.55  18.0   98  2.45  2.43  0.29  1.44   4.250000  1.12   \n",
+       "38   1  14.22  3.99  2.51  13.2  128  3.00  3.04  0.20  2.08   5.100000  0.89   \n",
+       "40   1  13.41  3.84  2.12  18.8   90  2.45  2.68  0.27  1.48   4.280000  0.91   \n",
+       "42   1  13.24  3.98  2.29  17.5  103  2.64  2.63  0.32  1.66   4.360000  0.82   \n",
+       "44   1  14.21  4.04  2.44  18.9  111  2.85  2.65  0.30  1.25   5.240000  0.87   \n",
+       "46   1  13.90  1.68  2.12  16.0  101  3.10  3.39  0.21  2.14   6.100000  0.91   \n",
+       "48   1  13.94  1.73  2.27  17.4  108  2.88  3.54  0.32  2.08   8.900000  1.12   \n",
+       "50   1  13.83  1.65  2.60  17.2   94  2.45  2.99  0.22  2.29   5.600000  1.24   \n",
+       "52   1  13.77  1.90  2.68  17.1  115  3.00  2.79  0.39  1.68   6.300000  1.13   \n",
+       "54   1  13.56  1.73  2.46  20.5  116  2.96  2.78  0.20  2.45   6.250000  0.98   \n",
+       "56   1  13.29  1.97  2.68  16.8  102  3.00  3.23  0.31  1.66   6.000000  1.07   \n",
+       "58   2  12.37  0.94  1.36  10.6   88  1.98  0.57  0.28  0.42   1.950000  1.05   \n",
+       "..  ..    ...   ...   ...   ...  ...   ...   ...   ...   ...        ...   ...   \n",
+       "118  2  12.00  3.43  2.00  19.0   87  2.00  1.64  0.37  1.87   1.280000  0.93   \n",
+       "120  2  11.56  2.05  3.23  28.5  119  3.18  5.08  0.47  1.87   6.000000  0.93   \n",
+       "122  2  13.05  5.80  2.13  21.5   86  2.62  2.65  0.30  2.01   2.600000  0.73   \n",
+       "124  2  12.07  2.16  2.17  21.0   85  2.60  2.65  0.37  1.35   2.760000  0.86   \n",
+       "126  2  11.79  2.13  2.78  28.5   92  2.13  2.24  0.58  1.76   3.000000  0.97   \n",
+       "128  2  12.04  4.30  2.38  22.0   80  2.10  1.75  0.42  1.35   2.600000  0.79   \n",
+       "130  3  12.88  2.99  2.40  20.0  104  1.30  1.22  0.24  0.83   5.400000  0.74   \n",
+       "132  3  12.70  3.55  2.36  21.5  106  1.70  1.20  0.17  0.84   5.000000  0.78   \n",
+       "134  3  12.60  2.46  2.20  18.5   94  1.62  0.66  0.63  0.94   7.100000  0.73   \n",
+       "136  3  12.53  5.51  2.64  25.0   96  1.79  0.60  0.63  1.10   5.000000  0.82   \n",
+       "138  3  12.84  2.96  2.61  24.0  101  2.32  0.60  0.53  0.81   4.920000  0.89   \n",
+       "140  3  13.36  2.56  2.35  20.0   89  1.40  0.50  0.37  0.64   5.600000  0.70   \n",
+       "142  3  13.62  4.95  2.35  20.0   92  2.00  0.80  0.47  1.02   4.400000  0.91   \n",
+       "144  3  13.16  3.57  2.15  21.0  102  1.50  0.55  0.43  1.30   4.000000  0.60   \n",
+       "146  3  12.87  4.61  2.48  21.5   86  1.70  0.65  0.47  0.86   7.650000  0.54   \n",
+       "148  3  13.08  3.90  2.36  21.5  113  1.41  1.39  0.34  1.14   9.400000  0.57   \n",
+       "150  3  12.79  2.67  2.48  22.0  112  1.48  1.36  0.24  1.26  10.800000  0.48   \n",
+       "152  3  13.23  3.30  2.28  18.5   98  1.80  0.83  0.61  1.87  10.520000  0.56   \n",
+       "154  3  13.17  5.19  2.32  22.0   93  1.74  0.63  0.61  1.55   7.900000  0.60   \n",
+       "156  3  12.45  3.03  2.64  27.0   97  1.90  0.58  0.63  1.14   7.500000  0.67   \n",
+       "158  3  13.48  1.67  2.64  22.5   89  2.60  1.10  0.52  2.29  11.750000  0.57   \n",
+       "160  3  13.69  3.26  2.54  20.0  107  1.83  0.56  0.50  0.80   5.880000  0.96   \n",
+       "162  3  12.96  3.45  2.35  18.5  106  1.39  0.70  0.40  0.94   5.280000  0.68   \n",
+       "164  3  13.73  4.36  2.26  22.5   88  1.28  0.47  0.52  1.15   6.620000  0.78   \n",
+       "166  3  12.82  3.37  2.30  19.5   88  1.48  0.66  0.40  0.97  10.260000  0.72   \n",
+       "168  3  13.40  4.60  2.86  25.0  112  1.98  0.96  0.27  1.11   8.500000  0.67   \n",
+       "170  3  12.77  2.39  2.28  19.5   86  1.39  0.51  0.48  0.64   9.899999  0.57   \n",
+       "172  3  13.71  5.65  2.45  20.5   95  1.68  0.61  0.52  1.06   7.700000  0.64   \n",
+       "174  3  13.27  4.28  2.26  20.0  120  1.59  0.69  0.43  1.35  10.200000  0.59   \n",
+       "176  3  14.13  4.10  2.74  24.5   96  2.05  0.76  0.56  1.35   9.200000  0.61   \n",
+       "\n",
+       "     3.92  1065  \n",
+       "0    3.40  1050  \n",
+       "2    3.45  1480  \n",
+       "4    2.85  1450  \n",
+       "6    3.58  1295  \n",
+       "8    3.55  1045  \n",
+       "10   2.82  1280  \n",
+       "12   2.73  1150  \n",
+       "14   2.88  1310  \n",
+       "16   2.57  1130  \n",
+       "18   3.36   845  \n",
+       "20   3.52   770  \n",
+       "22   3.63  1015  \n",
+       "24   3.20   830  \n",
+       "26   2.77  1285  \n",
+       "28   3.59  1035  \n",
+       "30   2.88  1515  \n",
+       "32   3.00  1235  \n",
+       "34   3.47   920  \n",
+       "36   2.51  1105  \n",
+       "38   3.53   760  \n",
+       "40   3.00  1035  \n",
+       "42   3.00   680  \n",
+       "44   3.33  1080  \n",
+       "46   3.33   985  \n",
+       "48   3.10  1260  \n",
+       "50   3.37  1265  \n",
+       "52   2.93  1375  \n",
+       "54   3.03  1120  \n",
+       "56   2.84  1270  \n",
+       "58   1.82   520  \n",
+       "..    ...   ...  \n",
+       "118  3.05   564  \n",
+       "120  3.69   465  \n",
+       "122  3.10   380  \n",
+       "124  3.28   378  \n",
+       "126  2.44   466  \n",
+       "128  2.57   580  \n",
+       "130  1.42   530  \n",
+       "132  1.29   600  \n",
+       "134  1.58   695  \n",
+       "136  1.69   515  \n",
+       "138  2.15   590  \n",
+       "140  2.47   780  \n",
+       "142  2.05   550  \n",
+       "144  1.68   830  \n",
+       "146  1.86   625  \n",
+       "148  1.33   550  \n",
+       "150  1.47   480  \n",
+       "152  1.51   675  \n",
+       "154  1.48   725  \n",
+       "156  1.73   880  \n",
+       "158  1.78   620  \n",
+       "160  1.82   680  \n",
+       "162  1.75   675  \n",
+       "164  1.75   520  \n",
+       "166  1.75   685  \n",
+       "168  1.92   630  \n",
+       "170  1.63   470  \n",
+       "172  1.74   740  \n",
+       "174  1.56   835  \n",
+       "176  1.60   560  \n",
+       "\n",
+       "[89 rows x 14 columns]"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "wine_df_copy = wine_df.copy(deep =True)\n",
+    "wine_df_copy.head()\n",
+    "odd_rows= [i for i in range(1,len(wine_df_copy.count(axis = 1))) if i%2!=0]\n",
+    "wine_df_copy.drop(odd_rows)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "o6Cs6T1Rjz71"
+   },
+   "source": [
+    "#### Assign the columns as below:\n",
+    "\n",
+    "The attributes are (dontated by Riccardo Leardi, riclea '@' anchem.unige.it):  \n",
+    "1) Alcohol  \n",
+    "2) Malic acid  \n",
+    "3) Ash  \n",
+    "4) Alcalinity of ash  \n",
+    "5) Magnesium  \n",
+    "6) Total phenols  \n",
+    "7) Flavanoids  \n",
+    "8) Nonflavanoid phenols  \n",
+    "9) Proanthocyanins  \n",
+    "10)Color intensity  \n",
+    "11)Hue  \n",
+    "12)OD280/OD315 of diluted wines  \n",
+    "13)Proline "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "my8HB4V4j779"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Count</th>\n",
+       "      <th>Alcohol</th>\n",
+       "      <th>MAlic acid</th>\n",
+       "      <th>Ash</th>\n",
+       "      <th>Alcalinity of ash</th>\n",
+       "      <th>Magnesium</th>\n",
+       "      <th>Total phenols</th>\n",
+       "      <th>Flavanoids</th>\n",
+       "      <th>Nonflavanoid phenols</th>\n",
+       "      <th>Proanthocyanins</th>\n",
+       "      <th>Color intensity</th>\n",
+       "      <th>Hue</th>\n",
+       "      <th>OD280/OD315 OF diluted wines</th>\n",
+       "      <th>Proline</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>13.20</td>\n",
+       "      <td>1.78</td>\n",
+       "      <td>2.14</td>\n",
+       "      <td>11.2</td>\n",
+       "      <td>100</td>\n",
+       "      <td>2.65</td>\n",
+       "      <td>2.76</td>\n",
+       "      <td>0.26</td>\n",
+       "      <td>1.28</td>\n",
+       "      <td>4.38</td>\n",
+       "      <td>1.05</td>\n",
+       "      <td>3.40</td>\n",
+       "      <td>1050</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>13.16</td>\n",
+       "      <td>2.36</td>\n",
+       "      <td>2.67</td>\n",
+       "      <td>18.6</td>\n",
+       "      <td>101</td>\n",
+       "      <td>2.80</td>\n",
+       "      <td>3.24</td>\n",
+       "      <td>0.30</td>\n",
+       "      <td>2.81</td>\n",
+       "      <td>5.68</td>\n",
+       "      <td>1.03</td>\n",
+       "      <td>3.17</td>\n",
+       "      <td>1185</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1</td>\n",
+       "      <td>14.37</td>\n",
+       "      <td>1.95</td>\n",
+       "      <td>2.50</td>\n",
+       "      <td>16.8</td>\n",
+       "      <td>113</td>\n",
+       "      <td>3.85</td>\n",
+       "      <td>3.49</td>\n",
+       "      <td>0.24</td>\n",
+       "      <td>2.18</td>\n",
+       "      <td>7.80</td>\n",
+       "      <td>0.86</td>\n",
+       "      <td>3.45</td>\n",
+       "      <td>1480</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1</td>\n",
+       "      <td>13.24</td>\n",
+       "      <td>2.59</td>\n",
+       "      <td>2.87</td>\n",
+       "      <td>21.0</td>\n",
+       "      <td>118</td>\n",
+       "      <td>2.80</td>\n",
+       "      <td>2.69</td>\n",
+       "      <td>0.39</td>\n",
+       "      <td>1.82</td>\n",
+       "      <td>4.32</td>\n",
+       "      <td>1.04</td>\n",
+       "      <td>2.93</td>\n",
+       "      <td>735</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1</td>\n",
+       "      <td>14.20</td>\n",
+       "      <td>1.76</td>\n",
+       "      <td>2.45</td>\n",
+       "      <td>15.2</td>\n",
+       "      <td>112</td>\n",
+       "      <td>3.27</td>\n",
+       "      <td>3.39</td>\n",
+       "      <td>0.34</td>\n",
+       "      <td>1.97</td>\n",
+       "      <td>6.75</td>\n",
+       "      <td>1.05</td>\n",
+       "      <td>2.85</td>\n",
+       "      <td>1450</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Count  Alcohol  MAlic acid   Ash  Alcalinity of ash  Magnesium  \\\n",
+       "0      1    13.20        1.78  2.14               11.2        100   \n",
+       "1      1    13.16        2.36  2.67               18.6        101   \n",
+       "2      1    14.37        1.95  2.50               16.8        113   \n",
+       "3      1    13.24        2.59  2.87               21.0        118   \n",
+       "4      1    14.20        1.76  2.45               15.2        112   \n",
+       "\n",
+       "   Total phenols  Flavanoids  Nonflavanoid phenols  Proanthocyanins  \\\n",
+       "0           2.65        2.76                  0.26             1.28   \n",
+       "1           2.80        3.24                  0.30             2.81   \n",
+       "2           3.85        3.49                  0.24             2.18   \n",
+       "3           2.80        2.69                  0.39             1.82   \n",
+       "4           3.27        3.39                  0.34             1.97   \n",
+       "\n",
+       "   Color intensity   Hue  OD280/OD315 OF diluted wines  Proline  \n",
+       "0             4.38  1.05                          3.40     1050  \n",
+       "1             5.68  1.03                          3.17     1185  \n",
+       "2             7.80  0.86                          3.45     1480  \n",
+       "3             4.32  1.04                          2.93      735  \n",
+       "4             6.75  1.05                          2.85     1450  "
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "wine_df.columns = ['Count','Alcohol','MAlic acid', 'Ash', 'Alcalinity of ash', 'Magnesium', 'Total phenols', 'Flavanoids','Nonflavanoid phenols', 'Proanthocyanins','Color intensity','Hue', 'OD280/OD315 OF diluted wines', 'Proline']\n",
+    "wine_df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "Zqi7hwWpkNbH"
+   },
+   "source": [
+    "#### Set the values of the first 3 rows from alcohol as NaN\n",
+    "\n",
+    "Hint- Use iloc to select 3 rows of wine_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "buyT4vX4kPMl"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Count</th>\n",
+       "      <th>Alcohol</th>\n",
+       "      <th>MAlic acid</th>\n",
+       "      <th>Ash</th>\n",
+       "      <th>Alcalinity of ash</th>\n",
+       "      <th>Magnesium</th>\n",
+       "      <th>Total phenols</th>\n",
+       "      <th>Flavanoids</th>\n",
+       "      <th>Nonflavanoid phenols</th>\n",
+       "      <th>Proanthocyanins</th>\n",
+       "      <th>Color intensity</th>\n",
+       "      <th>Hue</th>\n",
+       "      <th>OD280/OD315 OF diluted wines</th>\n",
+       "      <th>Proline</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>13.24</td>\n",
+       "      <td>2.59</td>\n",
+       "      <td>2.87</td>\n",
+       "      <td>21.0</td>\n",
+       "      <td>118.0</td>\n",
+       "      <td>2.80</td>\n",
+       "      <td>2.69</td>\n",
+       "      <td>0.39</td>\n",
+       "      <td>1.82</td>\n",
+       "      <td>4.32</td>\n",
+       "      <td>1.04</td>\n",
+       "      <td>2.93</td>\n",
+       "      <td>735.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>14.20</td>\n",
+       "      <td>1.76</td>\n",
+       "      <td>2.45</td>\n",
+       "      <td>15.2</td>\n",
+       "      <td>112.0</td>\n",
+       "      <td>3.27</td>\n",
+       "      <td>3.39</td>\n",
+       "      <td>0.34</td>\n",
+       "      <td>1.97</td>\n",
+       "      <td>6.75</td>\n",
+       "      <td>1.05</td>\n",
+       "      <td>2.85</td>\n",
+       "      <td>1450.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Count  Alcohol  MAlic acid   Ash  Alcalinity of ash  Magnesium  \\\n",
+       "0    NaN      NaN         NaN   NaN                NaN        NaN   \n",
+       "1    NaN      NaN         NaN   NaN                NaN        NaN   \n",
+       "2    NaN      NaN         NaN   NaN                NaN        NaN   \n",
+       "3    1.0    13.24        2.59  2.87               21.0      118.0   \n",
+       "4    1.0    14.20        1.76  2.45               15.2      112.0   \n",
+       "\n",
+       "   Total phenols  Flavanoids  Nonflavanoid phenols  Proanthocyanins  \\\n",
+       "0            NaN         NaN                   NaN              NaN   \n",
+       "1            NaN         NaN                   NaN              NaN   \n",
+       "2            NaN         NaN                   NaN              NaN   \n",
+       "3           2.80        2.69                  0.39             1.82   \n",
+       "4           3.27        3.39                  0.34             1.97   \n",
+       "\n",
+       "   Color intensity   Hue  OD280/OD315 OF diluted wines  Proline  \n",
+       "0              NaN   NaN                           NaN      NaN  \n",
+       "1              NaN   NaN                           NaN      NaN  \n",
+       "2              NaN   NaN                           NaN      NaN  \n",
+       "3             4.32  1.04                          2.93    735.0  \n",
+       "4             6.75  1.05                          2.85   1450.0  "
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "wine_df.iloc[:3]=np.nan\n",
+    "wine_df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "RQMNI2UHkP3o"
+   },
+   "source": [
+    "#### Create an array of 10 random numbers uptill 10 and assign it to a  variable named `random`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "xunmCjaEmDwZ"
+   },
+   "outputs": [],
+   "source": [
+    "from random import *\n",
+    "random=[]\n",
+    "for i in range(10):\n",
+    "    random.append(randrange(0,10))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "hELUakyXmFSu"
+   },
+   "source": [
+    "#### Use random numbers you generated as an index and assign NaN value to each of cell of the column alcohol"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "zMgaNnNHmP01"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Count</th>\n",
+       "      <th>Alcohol</th>\n",
+       "      <th>MAlic acid</th>\n",
+       "      <th>Ash</th>\n",
+       "      <th>Alcalinity of ash</th>\n",
+       "      <th>Magnesium</th>\n",
+       "      <th>Total phenols</th>\n",
+       "      <th>Flavanoids</th>\n",
+       "      <th>Nonflavanoid phenols</th>\n",
+       "      <th>Proanthocyanins</th>\n",
+       "      <th>Color intensity</th>\n",
+       "      <th>Hue</th>\n",
+       "      <th>OD280/OD315 OF diluted wines</th>\n",
+       "      <th>Proline</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2.59</td>\n",
+       "      <td>2.87</td>\n",
+       "      <td>21.0</td>\n",
+       "      <td>118.0</td>\n",
+       "      <td>2.80</td>\n",
+       "      <td>2.69</td>\n",
+       "      <td>0.39</td>\n",
+       "      <td>1.82</td>\n",
+       "      <td>4.32</td>\n",
+       "      <td>1.04</td>\n",
+       "      <td>2.93</td>\n",
+       "      <td>735.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.76</td>\n",
+       "      <td>2.45</td>\n",
+       "      <td>15.2</td>\n",
+       "      <td>112.0</td>\n",
+       "      <td>3.27</td>\n",
+       "      <td>3.39</td>\n",
+       "      <td>0.34</td>\n",
+       "      <td>1.97</td>\n",
+       "      <td>6.75</td>\n",
+       "      <td>1.05</td>\n",
+       "      <td>2.85</td>\n",
+       "      <td>1450.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.87</td>\n",
+       "      <td>2.45</td>\n",
+       "      <td>14.6</td>\n",
+       "      <td>96.0</td>\n",
+       "      <td>2.50</td>\n",
+       "      <td>2.52</td>\n",
+       "      <td>0.30</td>\n",
+       "      <td>1.98</td>\n",
+       "      <td>5.25</td>\n",
+       "      <td>1.02</td>\n",
+       "      <td>3.58</td>\n",
+       "      <td>1290.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>14.06</td>\n",
+       "      <td>2.15</td>\n",
+       "      <td>2.61</td>\n",
+       "      <td>17.6</td>\n",
+       "      <td>121.0</td>\n",
+       "      <td>2.60</td>\n",
+       "      <td>2.51</td>\n",
+       "      <td>0.31</td>\n",
+       "      <td>1.25</td>\n",
+       "      <td>5.05</td>\n",
+       "      <td>1.06</td>\n",
+       "      <td>3.58</td>\n",
+       "      <td>1295.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>14.83</td>\n",
+       "      <td>1.64</td>\n",
+       "      <td>2.17</td>\n",
+       "      <td>14.0</td>\n",
+       "      <td>97.0</td>\n",
+       "      <td>2.80</td>\n",
+       "      <td>2.98</td>\n",
+       "      <td>0.29</td>\n",
+       "      <td>1.98</td>\n",
+       "      <td>5.20</td>\n",
+       "      <td>1.08</td>\n",
+       "      <td>2.85</td>\n",
+       "      <td>1045.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>13.86</td>\n",
+       "      <td>1.35</td>\n",
+       "      <td>2.27</td>\n",
+       "      <td>16.0</td>\n",
+       "      <td>98.0</td>\n",
+       "      <td>2.98</td>\n",
+       "      <td>3.15</td>\n",
+       "      <td>0.22</td>\n",
+       "      <td>1.85</td>\n",
+       "      <td>7.22</td>\n",
+       "      <td>1.01</td>\n",
+       "      <td>3.55</td>\n",
+       "      <td>1045.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2.16</td>\n",
+       "      <td>2.30</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>105.0</td>\n",
+       "      <td>2.95</td>\n",
+       "      <td>3.32</td>\n",
+       "      <td>0.22</td>\n",
+       "      <td>2.38</td>\n",
+       "      <td>5.75</td>\n",
+       "      <td>1.25</td>\n",
+       "      <td>3.17</td>\n",
+       "      <td>1510.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Count  Alcohol  MAlic acid   Ash  Alcalinity of ash  Magnesium  \\\n",
+       "0    NaN      NaN         NaN   NaN                NaN        NaN   \n",
+       "1    NaN      NaN         NaN   NaN                NaN        NaN   \n",
+       "2    NaN      NaN         NaN   NaN                NaN        NaN   \n",
+       "3    1.0      NaN        2.59  2.87               21.0      118.0   \n",
+       "4    1.0      NaN        1.76  2.45               15.2      112.0   \n",
+       "5    1.0      NaN        1.87  2.45               14.6       96.0   \n",
+       "6    1.0    14.06        2.15  2.61               17.6      121.0   \n",
+       "7    1.0    14.83        1.64  2.17               14.0       97.0   \n",
+       "8    1.0    13.86        1.35  2.27               16.0       98.0   \n",
+       "9    1.0      NaN        2.16  2.30               18.0      105.0   \n",
+       "\n",
+       "   Total phenols  Flavanoids  Nonflavanoid phenols  Proanthocyanins  \\\n",
+       "0            NaN         NaN                   NaN              NaN   \n",
+       "1            NaN         NaN                   NaN              NaN   \n",
+       "2            NaN         NaN                   NaN              NaN   \n",
+       "3           2.80        2.69                  0.39             1.82   \n",
+       "4           3.27        3.39                  0.34             1.97   \n",
+       "5           2.50        2.52                  0.30             1.98   \n",
+       "6           2.60        2.51                  0.31             1.25   \n",
+       "7           2.80        2.98                  0.29             1.98   \n",
+       "8           2.98        3.15                  0.22             1.85   \n",
+       "9           2.95        3.32                  0.22             2.38   \n",
+       "\n",
+       "   Color intensity   Hue  OD280/OD315 OF diluted wines  Proline  \n",
+       "0              NaN   NaN                           NaN      NaN  \n",
+       "1              NaN   NaN                           NaN      NaN  \n",
+       "2              NaN   NaN                           NaN      NaN  \n",
+       "3             4.32  1.04                          2.93    735.0  \n",
+       "4             6.75  1.05                          2.85   1450.0  \n",
+       "5             5.25  1.02                          3.58   1290.0  \n",
+       "6             5.05  1.06                          3.58   1295.0  \n",
+       "7             5.20  1.08                          2.85   1045.0  \n",
+       "8             7.22  1.01                          3.55   1045.0  \n",
+       "9             5.75  1.25                          3.17   1510.0  "
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "wine_df.loc[random,'Alcohol']=np.nan\n",
+    "wine_df.head(10)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "PHyK_vRsmRwV"
+   },
+   "source": [
+    "####  How many missing values do we have? \n",
+    "\n",
+    "Hint: you can use isnull() and sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "EnOYhmEqmfKp"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "46"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "wine_df.isnull()\n",
+    "wine_df.isnull().sum().sum()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "-Fd4WBklmf1_"
+   },
+   "source": [
+    "#### Delete the rows that contain missing values "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "As7IC6Ktms8-"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Count</th>\n",
+       "      <th>Alcohol</th>\n",
+       "      <th>MAlic acid</th>\n",
+       "      <th>Ash</th>\n",
+       "      <th>Alcalinity of ash</th>\n",
+       "      <th>Magnesium</th>\n",
+       "      <th>Total phenols</th>\n",
+       "      <th>Flavanoids</th>\n",
+       "      <th>Nonflavanoid phenols</th>\n",
+       "      <th>Proanthocyanins</th>\n",
+       "      <th>Color intensity</th>\n",
+       "      <th>Hue</th>\n",
+       "      <th>OD280/OD315 OF diluted wines</th>\n",
+       "      <th>Proline</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>14.06</td>\n",
+       "      <td>2.15</td>\n",
+       "      <td>2.61</td>\n",
+       "      <td>17.6</td>\n",
+       "      <td>121.0</td>\n",
+       "      <td>2.60</td>\n",
+       "      <td>2.51</td>\n",
+       "      <td>0.31</td>\n",
+       "      <td>1.25</td>\n",
+       "      <td>5.050000</td>\n",
+       "      <td>1.06</td>\n",
+       "      <td>3.58</td>\n",
+       "      <td>1295.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>14.83</td>\n",
+       "      <td>1.64</td>\n",
+       "      <td>2.17</td>\n",
+       "      <td>14.0</td>\n",
+       "      <td>97.0</td>\n",
+       "      <td>2.80</td>\n",
+       "      <td>2.98</td>\n",
+       "      <td>0.29</td>\n",
+       "      <td>1.98</td>\n",
+       "      <td>5.200000</td>\n",
+       "      <td>1.08</td>\n",
+       "      <td>2.85</td>\n",
+       "      <td>1045.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>13.86</td>\n",
+       "      <td>1.35</td>\n",
+       "      <td>2.27</td>\n",
+       "      <td>16.0</td>\n",
+       "      <td>98.0</td>\n",
+       "      <td>2.98</td>\n",
+       "      <td>3.15</td>\n",
+       "      <td>0.22</td>\n",
+       "      <td>1.85</td>\n",
+       "      <td>7.220000</td>\n",
+       "      <td>1.01</td>\n",
+       "      <td>3.55</td>\n",
+       "      <td>1045.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>14.12</td>\n",
+       "      <td>1.48</td>\n",
+       "      <td>2.32</td>\n",
+       "      <td>16.8</td>\n",
+       "      <td>95.0</td>\n",
+       "      <td>2.20</td>\n",
+       "      <td>2.43</td>\n",
+       "      <td>0.26</td>\n",
+       "      <td>1.57</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>1.17</td>\n",
+       "      <td>2.82</td>\n",
+       "      <td>1280.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>13.75</td>\n",
+       "      <td>1.73</td>\n",
+       "      <td>2.41</td>\n",
+       "      <td>16.0</td>\n",
+       "      <td>89.0</td>\n",
+       "      <td>2.60</td>\n",
+       "      <td>2.76</td>\n",
+       "      <td>0.29</td>\n",
+       "      <td>1.81</td>\n",
+       "      <td>5.600000</td>\n",
+       "      <td>1.15</td>\n",
+       "      <td>2.90</td>\n",
+       "      <td>1320.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>14.75</td>\n",
+       "      <td>1.73</td>\n",
+       "      <td>2.39</td>\n",
+       "      <td>11.4</td>\n",
+       "      <td>91.0</td>\n",
+       "      <td>3.10</td>\n",
+       "      <td>3.69</td>\n",
+       "      <td>0.43</td>\n",
+       "      <td>2.81</td>\n",
+       "      <td>5.400000</td>\n",
+       "      <td>1.25</td>\n",
+       "      <td>2.73</td>\n",
+       "      <td>1150.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>14.38</td>\n",
+       "      <td>1.87</td>\n",
+       "      <td>2.38</td>\n",
+       "      <td>12.0</td>\n",
+       "      <td>102.0</td>\n",
+       "      <td>3.30</td>\n",
+       "      <td>3.64</td>\n",
+       "      <td>0.29</td>\n",
+       "      <td>2.96</td>\n",
+       "      <td>7.500000</td>\n",
+       "      <td>1.20</td>\n",
+       "      <td>3.00</td>\n",
+       "      <td>1547.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>13.63</td>\n",
+       "      <td>1.81</td>\n",
+       "      <td>2.70</td>\n",
+       "      <td>17.2</td>\n",
+       "      <td>112.0</td>\n",
+       "      <td>2.85</td>\n",
+       "      <td>2.91</td>\n",
+       "      <td>0.30</td>\n",
+       "      <td>1.46</td>\n",
+       "      <td>7.300000</td>\n",
+       "      <td>1.28</td>\n",
+       "      <td>2.88</td>\n",
+       "      <td>1310.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>14.30</td>\n",
+       "      <td>1.92</td>\n",
+       "      <td>2.72</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>120.0</td>\n",
+       "      <td>2.80</td>\n",
+       "      <td>3.14</td>\n",
+       "      <td>0.33</td>\n",
+       "      <td>1.97</td>\n",
+       "      <td>6.200000</td>\n",
+       "      <td>1.07</td>\n",
+       "      <td>2.65</td>\n",
+       "      <td>1280.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>13.83</td>\n",
+       "      <td>1.57</td>\n",
+       "      <td>2.62</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>115.0</td>\n",
+       "      <td>2.95</td>\n",
+       "      <td>3.40</td>\n",
+       "      <td>0.40</td>\n",
+       "      <td>1.72</td>\n",
+       "      <td>6.600000</td>\n",
+       "      <td>1.13</td>\n",
+       "      <td>2.57</td>\n",
+       "      <td>1130.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>14.19</td>\n",
+       "      <td>1.59</td>\n",
+       "      <td>2.48</td>\n",
+       "      <td>16.5</td>\n",
+       "      <td>108.0</td>\n",
+       "      <td>3.30</td>\n",
+       "      <td>3.93</td>\n",
+       "      <td>0.32</td>\n",
+       "      <td>1.86</td>\n",
+       "      <td>8.700000</td>\n",
+       "      <td>1.23</td>\n",
+       "      <td>2.82</td>\n",
+       "      <td>1680.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>13.64</td>\n",
+       "      <td>3.10</td>\n",
+       "      <td>2.56</td>\n",
+       "      <td>15.2</td>\n",
+       "      <td>116.0</td>\n",
+       "      <td>2.70</td>\n",
+       "      <td>3.03</td>\n",
+       "      <td>0.17</td>\n",
+       "      <td>1.66</td>\n",
+       "      <td>5.100000</td>\n",
+       "      <td>0.96</td>\n",
+       "      <td>3.36</td>\n",
+       "      <td>845.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>14.06</td>\n",
+       "      <td>1.63</td>\n",
+       "      <td>2.28</td>\n",
+       "      <td>16.0</td>\n",
+       "      <td>126.0</td>\n",
+       "      <td>3.00</td>\n",
+       "      <td>3.17</td>\n",
+       "      <td>0.24</td>\n",
+       "      <td>2.10</td>\n",
+       "      <td>5.650000</td>\n",
+       "      <td>1.09</td>\n",
+       "      <td>3.71</td>\n",
+       "      <td>780.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>12.93</td>\n",
+       "      <td>3.80</td>\n",
+       "      <td>2.65</td>\n",
+       "      <td>18.6</td>\n",
+       "      <td>102.0</td>\n",
+       "      <td>2.41</td>\n",
+       "      <td>2.41</td>\n",
+       "      <td>0.25</td>\n",
+       "      <td>1.98</td>\n",
+       "      <td>4.500000</td>\n",
+       "      <td>1.03</td>\n",
+       "      <td>3.52</td>\n",
+       "      <td>770.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>13.71</td>\n",
+       "      <td>1.86</td>\n",
+       "      <td>2.36</td>\n",
+       "      <td>16.6</td>\n",
+       "      <td>101.0</td>\n",
+       "      <td>2.61</td>\n",
+       "      <td>2.88</td>\n",
+       "      <td>0.27</td>\n",
+       "      <td>1.69</td>\n",
+       "      <td>3.800000</td>\n",
+       "      <td>1.11</td>\n",
+       "      <td>4.00</td>\n",
+       "      <td>1035.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>12.85</td>\n",
+       "      <td>1.60</td>\n",
+       "      <td>2.52</td>\n",
+       "      <td>17.8</td>\n",
+       "      <td>95.0</td>\n",
+       "      <td>2.48</td>\n",
+       "      <td>2.37</td>\n",
+       "      <td>0.26</td>\n",
+       "      <td>1.46</td>\n",
+       "      <td>3.930000</td>\n",
+       "      <td>1.09</td>\n",
+       "      <td>3.63</td>\n",
+       "      <td>1015.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>13.50</td>\n",
+       "      <td>1.81</td>\n",
+       "      <td>2.61</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>96.0</td>\n",
+       "      <td>2.53</td>\n",
+       "      <td>2.61</td>\n",
+       "      <td>0.28</td>\n",
+       "      <td>1.66</td>\n",
+       "      <td>3.520000</td>\n",
+       "      <td>1.12</td>\n",
+       "      <td>3.82</td>\n",
+       "      <td>845.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>13.05</td>\n",
+       "      <td>2.05</td>\n",
+       "      <td>3.22</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>124.0</td>\n",
+       "      <td>2.63</td>\n",
+       "      <td>2.68</td>\n",
+       "      <td>0.47</td>\n",
+       "      <td>1.92</td>\n",
+       "      <td>3.580000</td>\n",
+       "      <td>1.13</td>\n",
+       "      <td>3.20</td>\n",
+       "      <td>830.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>13.39</td>\n",
+       "      <td>1.77</td>\n",
+       "      <td>2.62</td>\n",
+       "      <td>16.1</td>\n",
+       "      <td>93.0</td>\n",
+       "      <td>2.85</td>\n",
+       "      <td>2.94</td>\n",
+       "      <td>0.34</td>\n",
+       "      <td>1.45</td>\n",
+       "      <td>4.800000</td>\n",
+       "      <td>0.92</td>\n",
+       "      <td>3.22</td>\n",
+       "      <td>1195.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>13.30</td>\n",
+       "      <td>1.72</td>\n",
+       "      <td>2.14</td>\n",
+       "      <td>17.0</td>\n",
+       "      <td>94.0</td>\n",
+       "      <td>2.40</td>\n",
+       "      <td>2.19</td>\n",
+       "      <td>0.27</td>\n",
+       "      <td>1.35</td>\n",
+       "      <td>3.950000</td>\n",
+       "      <td>1.02</td>\n",
+       "      <td>2.77</td>\n",
+       "      <td>1285.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>13.87</td>\n",
+       "      <td>1.90</td>\n",
+       "      <td>2.80</td>\n",
+       "      <td>19.4</td>\n",
+       "      <td>107.0</td>\n",
+       "      <td>2.95</td>\n",
+       "      <td>2.97</td>\n",
+       "      <td>0.37</td>\n",
+       "      <td>1.76</td>\n",
+       "      <td>4.500000</td>\n",
+       "      <td>1.25</td>\n",
+       "      <td>3.40</td>\n",
+       "      <td>915.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>14.02</td>\n",
+       "      <td>1.68</td>\n",
+       "      <td>2.21</td>\n",
+       "      <td>16.0</td>\n",
+       "      <td>96.0</td>\n",
+       "      <td>2.65</td>\n",
+       "      <td>2.33</td>\n",
+       "      <td>0.26</td>\n",
+       "      <td>1.98</td>\n",
+       "      <td>4.700000</td>\n",
+       "      <td>1.04</td>\n",
+       "      <td>3.59</td>\n",
+       "      <td>1035.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>13.73</td>\n",
+       "      <td>1.50</td>\n",
+       "      <td>2.70</td>\n",
+       "      <td>22.5</td>\n",
+       "      <td>101.0</td>\n",
+       "      <td>3.00</td>\n",
+       "      <td>3.25</td>\n",
+       "      <td>0.29</td>\n",
+       "      <td>2.38</td>\n",
+       "      <td>5.700000</td>\n",
+       "      <td>1.19</td>\n",
+       "      <td>2.71</td>\n",
+       "      <td>1285.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>30</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>13.58</td>\n",
+       "      <td>1.66</td>\n",
+       "      <td>2.36</td>\n",
+       "      <td>19.1</td>\n",
+       "      <td>106.0</td>\n",
+       "      <td>2.86</td>\n",
+       "      <td>3.19</td>\n",
+       "      <td>0.22</td>\n",
+       "      <td>1.95</td>\n",
+       "      <td>6.900000</td>\n",
+       "      <td>1.09</td>\n",
+       "      <td>2.88</td>\n",
+       "      <td>1515.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>31</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>13.68</td>\n",
+       "      <td>1.83</td>\n",
+       "      <td>2.36</td>\n",
+       "      <td>17.2</td>\n",
+       "      <td>104.0</td>\n",
+       "      <td>2.42</td>\n",
+       "      <td>2.69</td>\n",
+       "      <td>0.42</td>\n",
+       "      <td>1.97</td>\n",
+       "      <td>3.840000</td>\n",
+       "      <td>1.23</td>\n",
+       "      <td>2.87</td>\n",
+       "      <td>990.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>13.76</td>\n",
+       "      <td>1.53</td>\n",
+       "      <td>2.70</td>\n",
+       "      <td>19.5</td>\n",
+       "      <td>132.0</td>\n",
+       "      <td>2.95</td>\n",
+       "      <td>2.74</td>\n",
+       "      <td>0.50</td>\n",
+       "      <td>1.35</td>\n",
+       "      <td>5.400000</td>\n",
+       "      <td>1.25</td>\n",
+       "      <td>3.00</td>\n",
+       "      <td>1235.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>33</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>13.51</td>\n",
+       "      <td>1.80</td>\n",
+       "      <td>2.65</td>\n",
+       "      <td>19.0</td>\n",
+       "      <td>110.0</td>\n",
+       "      <td>2.35</td>\n",
+       "      <td>2.53</td>\n",
+       "      <td>0.29</td>\n",
+       "      <td>1.54</td>\n",
+       "      <td>4.200000</td>\n",
+       "      <td>1.10</td>\n",
+       "      <td>2.87</td>\n",
+       "      <td>1095.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>34</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>13.48</td>\n",
+       "      <td>1.81</td>\n",
+       "      <td>2.41</td>\n",
+       "      <td>20.5</td>\n",
+       "      <td>100.0</td>\n",
+       "      <td>2.70</td>\n",
+       "      <td>2.98</td>\n",
+       "      <td>0.26</td>\n",
+       "      <td>1.86</td>\n",
+       "      <td>5.100000</td>\n",
+       "      <td>1.04</td>\n",
+       "      <td>3.47</td>\n",
+       "      <td>920.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>35</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>13.28</td>\n",
+       "      <td>1.64</td>\n",
+       "      <td>2.84</td>\n",
+       "      <td>15.5</td>\n",
+       "      <td>110.0</td>\n",
+       "      <td>2.60</td>\n",
+       "      <td>2.68</td>\n",
+       "      <td>0.34</td>\n",
+       "      <td>1.36</td>\n",
+       "      <td>4.600000</td>\n",
+       "      <td>1.09</td>\n",
+       "      <td>2.78</td>\n",
+       "      <td>880.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>36</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>13.05</td>\n",
+       "      <td>1.65</td>\n",
+       "      <td>2.55</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>98.0</td>\n",
+       "      <td>2.45</td>\n",
+       "      <td>2.43</td>\n",
+       "      <td>0.29</td>\n",
+       "      <td>1.44</td>\n",
+       "      <td>4.250000</td>\n",
+       "      <td>1.12</td>\n",
+       "      <td>2.51</td>\n",
+       "      <td>1105.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>147</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>13.32</td>\n",
+       "      <td>3.24</td>\n",
+       "      <td>2.38</td>\n",
+       "      <td>21.5</td>\n",
+       "      <td>92.0</td>\n",
+       "      <td>1.93</td>\n",
+       "      <td>0.76</td>\n",
+       "      <td>0.45</td>\n",
+       "      <td>1.25</td>\n",
+       "      <td>8.420000</td>\n",
+       "      <td>0.55</td>\n",
+       "      <td>1.62</td>\n",
+       "      <td>650.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>148</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>13.08</td>\n",
+       "      <td>3.90</td>\n",
+       "      <td>2.36</td>\n",
+       "      <td>21.5</td>\n",
+       "      <td>113.0</td>\n",
+       "      <td>1.41</td>\n",
+       "      <td>1.39</td>\n",
+       "      <td>0.34</td>\n",
+       "      <td>1.14</td>\n",
+       "      <td>9.400000</td>\n",
+       "      <td>0.57</td>\n",
+       "      <td>1.33</td>\n",
+       "      <td>550.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>149</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>13.50</td>\n",
+       "      <td>3.12</td>\n",
+       "      <td>2.62</td>\n",
+       "      <td>24.0</td>\n",
+       "      <td>123.0</td>\n",
+       "      <td>1.40</td>\n",
+       "      <td>1.57</td>\n",
+       "      <td>0.22</td>\n",
+       "      <td>1.25</td>\n",
+       "      <td>8.600000</td>\n",
+       "      <td>0.59</td>\n",
+       "      <td>1.30</td>\n",
+       "      <td>500.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>150</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>12.79</td>\n",
+       "      <td>2.67</td>\n",
+       "      <td>2.48</td>\n",
+       "      <td>22.0</td>\n",
+       "      <td>112.0</td>\n",
+       "      <td>1.48</td>\n",
+       "      <td>1.36</td>\n",
+       "      <td>0.24</td>\n",
+       "      <td>1.26</td>\n",
+       "      <td>10.800000</td>\n",
+       "      <td>0.48</td>\n",
+       "      <td>1.47</td>\n",
+       "      <td>480.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>151</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>13.11</td>\n",
+       "      <td>1.90</td>\n",
+       "      <td>2.75</td>\n",
+       "      <td>25.5</td>\n",
+       "      <td>116.0</td>\n",
+       "      <td>2.20</td>\n",
+       "      <td>1.28</td>\n",
+       "      <td>0.26</td>\n",
+       "      <td>1.56</td>\n",
+       "      <td>7.100000</td>\n",
+       "      <td>0.61</td>\n",
+       "      <td>1.33</td>\n",
+       "      <td>425.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>152</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>13.23</td>\n",
+       "      <td>3.30</td>\n",
+       "      <td>2.28</td>\n",
+       "      <td>18.5</td>\n",
+       "      <td>98.0</td>\n",
+       "      <td>1.80</td>\n",
+       "      <td>0.83</td>\n",
+       "      <td>0.61</td>\n",
+       "      <td>1.87</td>\n",
+       "      <td>10.520000</td>\n",
+       "      <td>0.56</td>\n",
+       "      <td>1.51</td>\n",
+       "      <td>675.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>153</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>12.58</td>\n",
+       "      <td>1.29</td>\n",
+       "      <td>2.10</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>103.0</td>\n",
+       "      <td>1.48</td>\n",
+       "      <td>0.58</td>\n",
+       "      <td>0.53</td>\n",
+       "      <td>1.40</td>\n",
+       "      <td>7.600000</td>\n",
+       "      <td>0.58</td>\n",
+       "      <td>1.55</td>\n",
+       "      <td>640.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>154</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>13.17</td>\n",
+       "      <td>5.19</td>\n",
+       "      <td>2.32</td>\n",
+       "      <td>22.0</td>\n",
+       "      <td>93.0</td>\n",
+       "      <td>1.74</td>\n",
+       "      <td>0.63</td>\n",
+       "      <td>0.61</td>\n",
+       "      <td>1.55</td>\n",
+       "      <td>7.900000</td>\n",
+       "      <td>0.60</td>\n",
+       "      <td>1.48</td>\n",
+       "      <td>725.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>155</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>13.84</td>\n",
+       "      <td>4.12</td>\n",
+       "      <td>2.38</td>\n",
+       "      <td>19.5</td>\n",
+       "      <td>89.0</td>\n",
+       "      <td>1.80</td>\n",
+       "      <td>0.83</td>\n",
+       "      <td>0.48</td>\n",
+       "      <td>1.56</td>\n",
+       "      <td>9.010000</td>\n",
+       "      <td>0.57</td>\n",
+       "      <td>1.64</td>\n",
+       "      <td>480.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>156</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>12.45</td>\n",
+       "      <td>3.03</td>\n",
+       "      <td>2.64</td>\n",
+       "      <td>27.0</td>\n",
+       "      <td>97.0</td>\n",
+       "      <td>1.90</td>\n",
+       "      <td>0.58</td>\n",
+       "      <td>0.63</td>\n",
+       "      <td>1.14</td>\n",
+       "      <td>7.500000</td>\n",
+       "      <td>0.67</td>\n",
+       "      <td>1.73</td>\n",
+       "      <td>880.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>157</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>14.34</td>\n",
+       "      <td>1.68</td>\n",
+       "      <td>2.70</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>98.0</td>\n",
+       "      <td>2.80</td>\n",
+       "      <td>1.31</td>\n",
+       "      <td>0.53</td>\n",
+       "      <td>2.70</td>\n",
+       "      <td>13.000000</td>\n",
+       "      <td>0.57</td>\n",
+       "      <td>1.96</td>\n",
+       "      <td>660.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>158</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>13.48</td>\n",
+       "      <td>1.67</td>\n",
+       "      <td>2.64</td>\n",
+       "      <td>22.5</td>\n",
+       "      <td>89.0</td>\n",
+       "      <td>2.60</td>\n",
+       "      <td>1.10</td>\n",
+       "      <td>0.52</td>\n",
+       "      <td>2.29</td>\n",
+       "      <td>11.750000</td>\n",
+       "      <td>0.57</td>\n",
+       "      <td>1.78</td>\n",
+       "      <td>620.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>159</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>12.36</td>\n",
+       "      <td>3.83</td>\n",
+       "      <td>2.38</td>\n",
+       "      <td>21.0</td>\n",
+       "      <td>88.0</td>\n",
+       "      <td>2.30</td>\n",
+       "      <td>0.92</td>\n",
+       "      <td>0.50</td>\n",
+       "      <td>1.04</td>\n",
+       "      <td>7.650000</td>\n",
+       "      <td>0.56</td>\n",
+       "      <td>1.58</td>\n",
+       "      <td>520.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>160</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>13.69</td>\n",
+       "      <td>3.26</td>\n",
+       "      <td>2.54</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>107.0</td>\n",
+       "      <td>1.83</td>\n",
+       "      <td>0.56</td>\n",
+       "      <td>0.50</td>\n",
+       "      <td>0.80</td>\n",
+       "      <td>5.880000</td>\n",
+       "      <td>0.96</td>\n",
+       "      <td>1.82</td>\n",
+       "      <td>680.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>161</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>12.85</td>\n",
+       "      <td>3.27</td>\n",
+       "      <td>2.58</td>\n",
+       "      <td>22.0</td>\n",
+       "      <td>106.0</td>\n",
+       "      <td>1.65</td>\n",
+       "      <td>0.60</td>\n",
+       "      <td>0.60</td>\n",
+       "      <td>0.96</td>\n",
+       "      <td>5.580000</td>\n",
+       "      <td>0.87</td>\n",
+       "      <td>2.11</td>\n",
+       "      <td>570.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>162</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>12.96</td>\n",
+       "      <td>3.45</td>\n",
+       "      <td>2.35</td>\n",
+       "      <td>18.5</td>\n",
+       "      <td>106.0</td>\n",
+       "      <td>1.39</td>\n",
+       "      <td>0.70</td>\n",
+       "      <td>0.40</td>\n",
+       "      <td>0.94</td>\n",
+       "      <td>5.280000</td>\n",
+       "      <td>0.68</td>\n",
+       "      <td>1.75</td>\n",
+       "      <td>675.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>163</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>13.78</td>\n",
+       "      <td>2.76</td>\n",
+       "      <td>2.30</td>\n",
+       "      <td>22.0</td>\n",
+       "      <td>90.0</td>\n",
+       "      <td>1.35</td>\n",
+       "      <td>0.68</td>\n",
+       "      <td>0.41</td>\n",
+       "      <td>1.03</td>\n",
+       "      <td>9.580000</td>\n",
+       "      <td>0.70</td>\n",
+       "      <td>1.68</td>\n",
+       "      <td>615.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>164</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>13.73</td>\n",
+       "      <td>4.36</td>\n",
+       "      <td>2.26</td>\n",
+       "      <td>22.5</td>\n",
+       "      <td>88.0</td>\n",
+       "      <td>1.28</td>\n",
+       "      <td>0.47</td>\n",
+       "      <td>0.52</td>\n",
+       "      <td>1.15</td>\n",
+       "      <td>6.620000</td>\n",
+       "      <td>0.78</td>\n",
+       "      <td>1.75</td>\n",
+       "      <td>520.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>165</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>13.45</td>\n",
+       "      <td>3.70</td>\n",
+       "      <td>2.60</td>\n",
+       "      <td>23.0</td>\n",
+       "      <td>111.0</td>\n",
+       "      <td>1.70</td>\n",
+       "      <td>0.92</td>\n",
+       "      <td>0.43</td>\n",
+       "      <td>1.46</td>\n",
+       "      <td>10.680000</td>\n",
+       "      <td>0.85</td>\n",
+       "      <td>1.56</td>\n",
+       "      <td>695.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>166</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>12.82</td>\n",
+       "      <td>3.37</td>\n",
+       "      <td>2.30</td>\n",
+       "      <td>19.5</td>\n",
+       "      <td>88.0</td>\n",
+       "      <td>1.48</td>\n",
+       "      <td>0.66</td>\n",
+       "      <td>0.40</td>\n",
+       "      <td>0.97</td>\n",
+       "      <td>10.260000</td>\n",
+       "      <td>0.72</td>\n",
+       "      <td>1.75</td>\n",
+       "      <td>685.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>167</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>13.58</td>\n",
+       "      <td>2.58</td>\n",
+       "      <td>2.69</td>\n",
+       "      <td>24.5</td>\n",
+       "      <td>105.0</td>\n",
+       "      <td>1.55</td>\n",
+       "      <td>0.84</td>\n",
+       "      <td>0.39</td>\n",
+       "      <td>1.54</td>\n",
+       "      <td>8.660000</td>\n",
+       "      <td>0.74</td>\n",
+       "      <td>1.80</td>\n",
+       "      <td>750.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>168</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>13.40</td>\n",
+       "      <td>4.60</td>\n",
+       "      <td>2.86</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>112.0</td>\n",
+       "      <td>1.98</td>\n",
+       "      <td>0.96</td>\n",
+       "      <td>0.27</td>\n",
+       "      <td>1.11</td>\n",
+       "      <td>8.500000</td>\n",
+       "      <td>0.67</td>\n",
+       "      <td>1.92</td>\n",
+       "      <td>630.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>169</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>12.20</td>\n",
+       "      <td>3.03</td>\n",
+       "      <td>2.32</td>\n",
+       "      <td>19.0</td>\n",
+       "      <td>96.0</td>\n",
+       "      <td>1.25</td>\n",
+       "      <td>0.49</td>\n",
+       "      <td>0.40</td>\n",
+       "      <td>0.73</td>\n",
+       "      <td>5.500000</td>\n",
+       "      <td>0.66</td>\n",
+       "      <td>1.83</td>\n",
+       "      <td>510.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>170</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>12.77</td>\n",
+       "      <td>2.39</td>\n",
+       "      <td>2.28</td>\n",
+       "      <td>19.5</td>\n",
+       "      <td>86.0</td>\n",
+       "      <td>1.39</td>\n",
+       "      <td>0.51</td>\n",
+       "      <td>0.48</td>\n",
+       "      <td>0.64</td>\n",
+       "      <td>9.899999</td>\n",
+       "      <td>0.57</td>\n",
+       "      <td>1.63</td>\n",
+       "      <td>470.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>171</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>14.16</td>\n",
+       "      <td>2.51</td>\n",
+       "      <td>2.48</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>91.0</td>\n",
+       "      <td>1.68</td>\n",
+       "      <td>0.70</td>\n",
+       "      <td>0.44</td>\n",
+       "      <td>1.24</td>\n",
+       "      <td>9.700000</td>\n",
+       "      <td>0.62</td>\n",
+       "      <td>1.71</td>\n",
+       "      <td>660.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>172</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>13.71</td>\n",
+       "      <td>5.65</td>\n",
+       "      <td>2.45</td>\n",
+       "      <td>20.5</td>\n",
+       "      <td>95.0</td>\n",
+       "      <td>1.68</td>\n",
+       "      <td>0.61</td>\n",
+       "      <td>0.52</td>\n",
+       "      <td>1.06</td>\n",
+       "      <td>7.700000</td>\n",
+       "      <td>0.64</td>\n",
+       "      <td>1.74</td>\n",
+       "      <td>740.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>173</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>13.40</td>\n",
+       "      <td>3.91</td>\n",
+       "      <td>2.48</td>\n",
+       "      <td>23.0</td>\n",
+       "      <td>102.0</td>\n",
+       "      <td>1.80</td>\n",
+       "      <td>0.75</td>\n",
+       "      <td>0.43</td>\n",
+       "      <td>1.41</td>\n",
+       "      <td>7.300000</td>\n",
+       "      <td>0.70</td>\n",
+       "      <td>1.56</td>\n",
+       "      <td>750.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>174</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>13.27</td>\n",
+       "      <td>4.28</td>\n",
+       "      <td>2.26</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>120.0</td>\n",
+       "      <td>1.59</td>\n",
+       "      <td>0.69</td>\n",
+       "      <td>0.43</td>\n",
+       "      <td>1.35</td>\n",
+       "      <td>10.200000</td>\n",
+       "      <td>0.59</td>\n",
+       "      <td>1.56</td>\n",
+       "      <td>835.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>175</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>13.17</td>\n",
+       "      <td>2.59</td>\n",
+       "      <td>2.37</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>120.0</td>\n",
+       "      <td>1.65</td>\n",
+       "      <td>0.68</td>\n",
+       "      <td>0.53</td>\n",
+       "      <td>1.46</td>\n",
+       "      <td>9.300000</td>\n",
+       "      <td>0.60</td>\n",
+       "      <td>1.62</td>\n",
+       "      <td>840.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>176</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>14.13</td>\n",
+       "      <td>4.10</td>\n",
+       "      <td>2.74</td>\n",
+       "      <td>24.5</td>\n",
+       "      <td>96.0</td>\n",
+       "      <td>2.05</td>\n",
+       "      <td>0.76</td>\n",
+       "      <td>0.56</td>\n",
+       "      <td>1.35</td>\n",
+       "      <td>9.200000</td>\n",
+       "      <td>0.61</td>\n",
+       "      <td>1.60</td>\n",
+       "      <td>560.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>170 rows × 14 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     Count  Alcohol  MAlic acid   Ash  Alcalinity of ash  Magnesium  \\\n",
+       "6      1.0    14.06        2.15  2.61               17.6      121.0   \n",
+       "7      1.0    14.83        1.64  2.17               14.0       97.0   \n",
+       "8      1.0    13.86        1.35  2.27               16.0       98.0   \n",
+       "10     1.0    14.12        1.48  2.32               16.8       95.0   \n",
+       "11     1.0    13.75        1.73  2.41               16.0       89.0   \n",
+       "12     1.0    14.75        1.73  2.39               11.4       91.0   \n",
+       "13     1.0    14.38        1.87  2.38               12.0      102.0   \n",
+       "14     1.0    13.63        1.81  2.70               17.2      112.0   \n",
+       "15     1.0    14.30        1.92  2.72               20.0      120.0   \n",
+       "16     1.0    13.83        1.57  2.62               20.0      115.0   \n",
+       "17     1.0    14.19        1.59  2.48               16.5      108.0   \n",
+       "18     1.0    13.64        3.10  2.56               15.2      116.0   \n",
+       "19     1.0    14.06        1.63  2.28               16.0      126.0   \n",
+       "20     1.0    12.93        3.80  2.65               18.6      102.0   \n",
+       "21     1.0    13.71        1.86  2.36               16.6      101.0   \n",
+       "22     1.0    12.85        1.60  2.52               17.8       95.0   \n",
+       "23     1.0    13.50        1.81  2.61               20.0       96.0   \n",
+       "24     1.0    13.05        2.05  3.22               25.0      124.0   \n",
+       "25     1.0    13.39        1.77  2.62               16.1       93.0   \n",
+       "26     1.0    13.30        1.72  2.14               17.0       94.0   \n",
+       "27     1.0    13.87        1.90  2.80               19.4      107.0   \n",
+       "28     1.0    14.02        1.68  2.21               16.0       96.0   \n",
+       "29     1.0    13.73        1.50  2.70               22.5      101.0   \n",
+       "30     1.0    13.58        1.66  2.36               19.1      106.0   \n",
+       "31     1.0    13.68        1.83  2.36               17.2      104.0   \n",
+       "32     1.0    13.76        1.53  2.70               19.5      132.0   \n",
+       "33     1.0    13.51        1.80  2.65               19.0      110.0   \n",
+       "34     1.0    13.48        1.81  2.41               20.5      100.0   \n",
+       "35     1.0    13.28        1.64  2.84               15.5      110.0   \n",
+       "36     1.0    13.05        1.65  2.55               18.0       98.0   \n",
+       "..     ...      ...         ...   ...                ...        ...   \n",
+       "147    3.0    13.32        3.24  2.38               21.5       92.0   \n",
+       "148    3.0    13.08        3.90  2.36               21.5      113.0   \n",
+       "149    3.0    13.50        3.12  2.62               24.0      123.0   \n",
+       "150    3.0    12.79        2.67  2.48               22.0      112.0   \n",
+       "151    3.0    13.11        1.90  2.75               25.5      116.0   \n",
+       "152    3.0    13.23        3.30  2.28               18.5       98.0   \n",
+       "153    3.0    12.58        1.29  2.10               20.0      103.0   \n",
+       "154    3.0    13.17        5.19  2.32               22.0       93.0   \n",
+       "155    3.0    13.84        4.12  2.38               19.5       89.0   \n",
+       "156    3.0    12.45        3.03  2.64               27.0       97.0   \n",
+       "157    3.0    14.34        1.68  2.70               25.0       98.0   \n",
+       "158    3.0    13.48        1.67  2.64               22.5       89.0   \n",
+       "159    3.0    12.36        3.83  2.38               21.0       88.0   \n",
+       "160    3.0    13.69        3.26  2.54               20.0      107.0   \n",
+       "161    3.0    12.85        3.27  2.58               22.0      106.0   \n",
+       "162    3.0    12.96        3.45  2.35               18.5      106.0   \n",
+       "163    3.0    13.78        2.76  2.30               22.0       90.0   \n",
+       "164    3.0    13.73        4.36  2.26               22.5       88.0   \n",
+       "165    3.0    13.45        3.70  2.60               23.0      111.0   \n",
+       "166    3.0    12.82        3.37  2.30               19.5       88.0   \n",
+       "167    3.0    13.58        2.58  2.69               24.5      105.0   \n",
+       "168    3.0    13.40        4.60  2.86               25.0      112.0   \n",
+       "169    3.0    12.20        3.03  2.32               19.0       96.0   \n",
+       "170    3.0    12.77        2.39  2.28               19.5       86.0   \n",
+       "171    3.0    14.16        2.51  2.48               20.0       91.0   \n",
+       "172    3.0    13.71        5.65  2.45               20.5       95.0   \n",
+       "173    3.0    13.40        3.91  2.48               23.0      102.0   \n",
+       "174    3.0    13.27        4.28  2.26               20.0      120.0   \n",
+       "175    3.0    13.17        2.59  2.37               20.0      120.0   \n",
+       "176    3.0    14.13        4.10  2.74               24.5       96.0   \n",
+       "\n",
+       "     Total phenols  Flavanoids  Nonflavanoid phenols  Proanthocyanins  \\\n",
+       "6             2.60        2.51                  0.31             1.25   \n",
+       "7             2.80        2.98                  0.29             1.98   \n",
+       "8             2.98        3.15                  0.22             1.85   \n",
+       "10            2.20        2.43                  0.26             1.57   \n",
+       "11            2.60        2.76                  0.29             1.81   \n",
+       "12            3.10        3.69                  0.43             2.81   \n",
+       "13            3.30        3.64                  0.29             2.96   \n",
+       "14            2.85        2.91                  0.30             1.46   \n",
+       "15            2.80        3.14                  0.33             1.97   \n",
+       "16            2.95        3.40                  0.40             1.72   \n",
+       "17            3.30        3.93                  0.32             1.86   \n",
+       "18            2.70        3.03                  0.17             1.66   \n",
+       "19            3.00        3.17                  0.24             2.10   \n",
+       "20            2.41        2.41                  0.25             1.98   \n",
+       "21            2.61        2.88                  0.27             1.69   \n",
+       "22            2.48        2.37                  0.26             1.46   \n",
+       "23            2.53        2.61                  0.28             1.66   \n",
+       "24            2.63        2.68                  0.47             1.92   \n",
+       "25            2.85        2.94                  0.34             1.45   \n",
+       "26            2.40        2.19                  0.27             1.35   \n",
+       "27            2.95        2.97                  0.37             1.76   \n",
+       "28            2.65        2.33                  0.26             1.98   \n",
+       "29            3.00        3.25                  0.29             2.38   \n",
+       "30            2.86        3.19                  0.22             1.95   \n",
+       "31            2.42        2.69                  0.42             1.97   \n",
+       "32            2.95        2.74                  0.50             1.35   \n",
+       "33            2.35        2.53                  0.29             1.54   \n",
+       "34            2.70        2.98                  0.26             1.86   \n",
+       "35            2.60        2.68                  0.34             1.36   \n",
+       "36            2.45        2.43                  0.29             1.44   \n",
+       "..             ...         ...                   ...              ...   \n",
+       "147           1.93        0.76                  0.45             1.25   \n",
+       "148           1.41        1.39                  0.34             1.14   \n",
+       "149           1.40        1.57                  0.22             1.25   \n",
+       "150           1.48        1.36                  0.24             1.26   \n",
+       "151           2.20        1.28                  0.26             1.56   \n",
+       "152           1.80        0.83                  0.61             1.87   \n",
+       "153           1.48        0.58                  0.53             1.40   \n",
+       "154           1.74        0.63                  0.61             1.55   \n",
+       "155           1.80        0.83                  0.48             1.56   \n",
+       "156           1.90        0.58                  0.63             1.14   \n",
+       "157           2.80        1.31                  0.53             2.70   \n",
+       "158           2.60        1.10                  0.52             2.29   \n",
+       "159           2.30        0.92                  0.50             1.04   \n",
+       "160           1.83        0.56                  0.50             0.80   \n",
+       "161           1.65        0.60                  0.60             0.96   \n",
+       "162           1.39        0.70                  0.40             0.94   \n",
+       "163           1.35        0.68                  0.41             1.03   \n",
+       "164           1.28        0.47                  0.52             1.15   \n",
+       "165           1.70        0.92                  0.43             1.46   \n",
+       "166           1.48        0.66                  0.40             0.97   \n",
+       "167           1.55        0.84                  0.39             1.54   \n",
+       "168           1.98        0.96                  0.27             1.11   \n",
+       "169           1.25        0.49                  0.40             0.73   \n",
+       "170           1.39        0.51                  0.48             0.64   \n",
+       "171           1.68        0.70                  0.44             1.24   \n",
+       "172           1.68        0.61                  0.52             1.06   \n",
+       "173           1.80        0.75                  0.43             1.41   \n",
+       "174           1.59        0.69                  0.43             1.35   \n",
+       "175           1.65        0.68                  0.53             1.46   \n",
+       "176           2.05        0.76                  0.56             1.35   \n",
+       "\n",
+       "     Color intensity   Hue  OD280/OD315 OF diluted wines  Proline  \n",
+       "6           5.050000  1.06                          3.58   1295.0  \n",
+       "7           5.200000  1.08                          2.85   1045.0  \n",
+       "8           7.220000  1.01                          3.55   1045.0  \n",
+       "10          5.000000  1.17                          2.82   1280.0  \n",
+       "11          5.600000  1.15                          2.90   1320.0  \n",
+       "12          5.400000  1.25                          2.73   1150.0  \n",
+       "13          7.500000  1.20                          3.00   1547.0  \n",
+       "14          7.300000  1.28                          2.88   1310.0  \n",
+       "15          6.200000  1.07                          2.65   1280.0  \n",
+       "16          6.600000  1.13                          2.57   1130.0  \n",
+       "17          8.700000  1.23                          2.82   1680.0  \n",
+       "18          5.100000  0.96                          3.36    845.0  \n",
+       "19          5.650000  1.09                          3.71    780.0  \n",
+       "20          4.500000  1.03                          3.52    770.0  \n",
+       "21          3.800000  1.11                          4.00   1035.0  \n",
+       "22          3.930000  1.09                          3.63   1015.0  \n",
+       "23          3.520000  1.12                          3.82    845.0  \n",
+       "24          3.580000  1.13                          3.20    830.0  \n",
+       "25          4.800000  0.92                          3.22   1195.0  \n",
+       "26          3.950000  1.02                          2.77   1285.0  \n",
+       "27          4.500000  1.25                          3.40    915.0  \n",
+       "28          4.700000  1.04                          3.59   1035.0  \n",
+       "29          5.700000  1.19                          2.71   1285.0  \n",
+       "30          6.900000  1.09                          2.88   1515.0  \n",
+       "31          3.840000  1.23                          2.87    990.0  \n",
+       "32          5.400000  1.25                          3.00   1235.0  \n",
+       "33          4.200000  1.10                          2.87   1095.0  \n",
+       "34          5.100000  1.04                          3.47    920.0  \n",
+       "35          4.600000  1.09                          2.78    880.0  \n",
+       "36          4.250000  1.12                          2.51   1105.0  \n",
+       "..               ...   ...                           ...      ...  \n",
+       "147         8.420000  0.55                          1.62    650.0  \n",
+       "148         9.400000  0.57                          1.33    550.0  \n",
+       "149         8.600000  0.59                          1.30    500.0  \n",
+       "150        10.800000  0.48                          1.47    480.0  \n",
+       "151         7.100000  0.61                          1.33    425.0  \n",
+       "152        10.520000  0.56                          1.51    675.0  \n",
+       "153         7.600000  0.58                          1.55    640.0  \n",
+       "154         7.900000  0.60                          1.48    725.0  \n",
+       "155         9.010000  0.57                          1.64    480.0  \n",
+       "156         7.500000  0.67                          1.73    880.0  \n",
+       "157        13.000000  0.57                          1.96    660.0  \n",
+       "158        11.750000  0.57                          1.78    620.0  \n",
+       "159         7.650000  0.56                          1.58    520.0  \n",
+       "160         5.880000  0.96                          1.82    680.0  \n",
+       "161         5.580000  0.87                          2.11    570.0  \n",
+       "162         5.280000  0.68                          1.75    675.0  \n",
+       "163         9.580000  0.70                          1.68    615.0  \n",
+       "164         6.620000  0.78                          1.75    520.0  \n",
+       "165        10.680000  0.85                          1.56    695.0  \n",
+       "166        10.260000  0.72                          1.75    685.0  \n",
+       "167         8.660000  0.74                          1.80    750.0  \n",
+       "168         8.500000  0.67                          1.92    630.0  \n",
+       "169         5.500000  0.66                          1.83    510.0  \n",
+       "170         9.899999  0.57                          1.63    470.0  \n",
+       "171         9.700000  0.62                          1.71    660.0  \n",
+       "172         7.700000  0.64                          1.74    740.0  \n",
+       "173         7.300000  0.70                          1.56    750.0  \n",
+       "174        10.200000  0.59                          1.56    835.0  \n",
+       "175         9.300000  0.60                          1.62    840.0  \n",
+       "176         9.200000  0.61                          1.60    560.0  \n",
+       "\n",
+       "[170 rows x 14 columns]"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "wine_df.dropna()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "DlpG8drhmz7W"
+   },
+   "source": [
+    "### BONUS: Play with the data set below"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "mD40T0Cnm5SA"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x7fb0c5ee91d0>,\n",
+       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7fb0c5a9b4a8>,\n",
+       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7fb0c5a50518>,\n",
+       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7fb0c5a0b550>],\n",
+       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x7fb0c59c5550>,\n",
+       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7fb0c59c5588>,\n",
+       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7fb0c59a6ef0>,\n",
+       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7fb0c596c400>],\n",
+       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x7fb0c5927320>,\n",
+       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7fb0c5940ba8>,\n",
+       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7fb0c588a9b0>,\n",
+       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7fb0c5843e80>],\n",
+       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x7fb0c5806400>,\n",
+       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7fb0c582b208>,\n",
+       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7fb0c57ed470>,\n",
+       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7fb0c57a47f0>]], dtype=object)"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fb0c5b5fc50>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "wine_df.hist(bins=10)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "colab": {
+   "name": "Exercise.ipynb",
+   "provenance": [],
+   "version": "0.3.2"
+  },
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/Get_to_know_your_Data-checkpoint.ipynb b/Get_to_know_your_Data-checkpoint.ipynb
new file mode 100644
index 0000000..d6ff895
--- /dev/null
+++ b/Get_to_know_your_Data-checkpoint.ipynb
@@ -0,0 +1,2365 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "J82LU53m_OU0"
+   },
+   "source": [
+    "# Get to know your Data\n",
+    "\n",
+    "\n",
+    "#### Import necessary modules\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "ZyO1UXL8mtSj"
+   },
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "yXTzTowtnwGI"
+   },
+   "source": [
+    "#### Loading CSV Data to a DataFrame"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "H1Bjlb5wm9f-"
+   },
+   "outputs": [],
+   "source": [
+    "iris_df = pd.read_csv('https://raw.githubusercontent.com/uiuc-cse/data-fa14/gh-pages/data/iris.csv')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "KE-k7b_Mn5iN"
+   },
+   "source": [
+    "#### See the top 10 rows\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 204
+    },
+    "colab_type": "code",
+    "id": "HY2Ps7xMn4ao",
+    "outputId": "7d342633-1b72-4558-fcec-76ebe66d7430"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>sepal_length</th>\n",
+       "      <th>sepal_width</th>\n",
+       "      <th>petal_length</th>\n",
+       "      <th>petal_width</th>\n",
+       "      <th>species</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>5.1</td>\n",
+       "      <td>3.5</td>\n",
+       "      <td>1.4</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>4.9</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>1.4</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>4.7</td>\n",
+       "      <td>3.2</td>\n",
+       "      <td>1.3</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4.6</td>\n",
+       "      <td>3.1</td>\n",
+       "      <td>1.5</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5.0</td>\n",
+       "      <td>3.6</td>\n",
+       "      <td>1.4</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   sepal_length  sepal_width  petal_length  petal_width species\n",
+       "0           5.1          3.5           1.4          0.2  setosa\n",
+       "1           4.9          3.0           1.4          0.2  setosa\n",
+       "2           4.7          3.2           1.3          0.2  setosa\n",
+       "3           4.6          3.1           1.5          0.2  setosa\n",
+       "4           5.0          3.6           1.4          0.2  setosa"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {
+      "tags": []
+     },
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "iris_df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "ZQXekIodqOZu"
+   },
+   "source": [
+    "#### Find number of rows and columns\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 34
+    },
+    "colab_type": "code",
+    "id": "6Y-A-lbFqR82",
+    "outputId": "2fe6e676-1bec-453f-8e2b-3bc21ac0a999"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(150, 5)\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(iris_df.shape)\n",
+    "\n",
+    "#first is row and second is column\n",
+    "#select row by simple indexing\n",
+    "\n",
+    "#print(iris_df.shape[0])\n",
+    "#print(iris_df.shape[1])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "4ckCiGPhrC_t"
+   },
+   "source": [
+    "#### Print all columns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 68
+    },
+    "colab_type": "code",
+    "id": "S6jgMyRDrF2a",
+    "outputId": "798d5ef2-0f98-4972-c98c-c896f879af64"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Index(['sepal_length', 'sepal_width', 'petal_length', 'petal_width',\n",
+      "       'species'],\n",
+      "      dtype='object')\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(iris_df.columns)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "kVav5-ACtIqS"
+   },
+   "source": [
+    "#### Check Index\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 34
+    },
+    "colab_type": "code",
+    "id": "iu3I9zIGtLDX",
+    "outputId": "21786651-605d-4636-d253-5694edb6f969"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "RangeIndex(start=0, stop=150, step=1)\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(iris_df.index)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "psCc7PborOCQ"
+   },
+   "source": [
+    "#### Right now the iris_data set has all the species grouped together let's shuffle it"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 221
+    },
+    "colab_type": "code",
+    "id": "Bxc8i6avrZPw",
+    "outputId": "11e956f5-d253-4025-9c3a-1e88f54528b2"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "   sepal_length  sepal_width  petal_length  petal_width species\n",
+      "0           5.1          3.5           1.4          0.2  setosa\n",
+      "1           4.9          3.0           1.4          0.2  setosa\n",
+      "2           4.7          3.2           1.3          0.2  setosa\n",
+      "3           4.6          3.1           1.5          0.2  setosa\n",
+      "4           5.0          3.6           1.4          0.2  setosa\n",
+      "     sepal_length  sepal_width  petal_length  petal_width    species\n",
+      "3             4.6          3.1           1.5          0.2     setosa\n",
+      "115           6.4          3.2           5.3          2.3  virginica\n",
+      "113           5.7          2.5           5.0          2.0  virginica\n",
+      "43            5.0          3.5           1.6          0.6     setosa\n",
+      "126           6.2          2.8           4.8          1.8  virginica\n"
+     ]
+    }
+   ],
+   "source": [
+    "#generate a random permutaion on index\n",
+    "\n",
+    "print(iris_df.head())\n",
+    "\n",
+    "new_index = np.random.permutation(iris_df.index)\n",
+    "iris_df = iris_df.reindex(index = new_index)\n",
+    "\n",
+    "print(iris_df.head())"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "j32h8022sRT8"
+   },
+   "source": [
+    "#### We can also apply an operation on whole column of iris_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 323
+    },
+    "colab_type": "code",
+    "id": "seYXHXsYsYJI",
+    "outputId": "5f8ae149-0829-45fa-a537-ed81be0bd743"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "     sepal_length  sepal_width  petal_length  petal_width    species\n",
+      "3             4.6          3.1           1.5          0.2     setosa\n",
+      "115           6.4          3.2           5.3          2.3  virginica\n",
+      "113           5.7          2.5           5.0          2.0  virginica\n",
+      "43            5.0          3.5           1.6          0.6     setosa\n",
+      "126           6.2          2.8           4.8          1.8  virginica\n",
+      "     sepal_length  sepal_width  petal_length  petal_width    species\n",
+      "3             4.6         31.0           1.5          0.2     setosa\n",
+      "115           6.4         32.0           5.3          2.3  virginica\n",
+      "113           5.7         25.0           5.0          2.0  virginica\n",
+      "43            5.0         35.0           1.6          0.6     setosa\n",
+      "126           6.2         28.0           4.8          1.8  virginica\n",
+      "     sepal_length  sepal_width  petal_length  petal_width    species\n",
+      "3             4.6          3.1           1.5          0.2     setosa\n",
+      "115           6.4          3.2           5.3          2.3  virginica\n",
+      "113           5.7          2.5           5.0          2.0  virginica\n",
+      "43            5.0          3.5           1.6          0.6     setosa\n",
+      "126           6.2          2.8           4.8          1.8  virginica\n"
+     ]
+    }
+   ],
+   "source": [
+    "#original\n",
+    "\n",
+    "print(iris_df.head())\n",
+    "\n",
+    "iris_df['sepal_width'] *= 10\n",
+    "\n",
+    "#changed\n",
+    "\n",
+    "print(iris_df.head())\n",
+    "\n",
+    "#lets undo the operation\n",
+    "\n",
+    "iris_df['sepal_width'] /= 10\n",
+    "\n",
+    "print(iris_df.head())"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "R-Ca-LBLzjiF"
+   },
+   "source": [
+    "#### Show all the rows where sepal_width > 3.3"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 1165
+    },
+    "colab_type": "code",
+    "id": "WJ7W-F-d0AoZ",
+    "outputId": "ee9c12fa-f9da-468a-dead-9d3ced177e8b"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>sepal_length</th>\n",
+       "      <th>sepal_width</th>\n",
+       "      <th>petal_length</th>\n",
+       "      <th>petal_width</th>\n",
+       "      <th>species</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>43</th>\n",
+       "      <td>5.0</td>\n",
+       "      <td>3.5</td>\n",
+       "      <td>1.6</td>\n",
+       "      <td>0.6</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>5.0</td>\n",
+       "      <td>3.4</td>\n",
+       "      <td>1.5</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>5.7</td>\n",
+       "      <td>3.8</td>\n",
+       "      <td>1.7</td>\n",
+       "      <td>0.3</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>136</th>\n",
+       "      <td>6.3</td>\n",
+       "      <td>3.4</td>\n",
+       "      <td>5.6</td>\n",
+       "      <td>2.4</td>\n",
+       "      <td>virginica</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>5.4</td>\n",
+       "      <td>3.9</td>\n",
+       "      <td>1.3</td>\n",
+       "      <td>0.4</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>4.8</td>\n",
+       "      <td>3.4</td>\n",
+       "      <td>1.9</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>39</th>\n",
+       "      <td>5.1</td>\n",
+       "      <td>3.4</td>\n",
+       "      <td>1.5</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>5.2</td>\n",
+       "      <td>3.5</td>\n",
+       "      <td>1.5</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>85</th>\n",
+       "      <td>6.0</td>\n",
+       "      <td>3.4</td>\n",
+       "      <td>4.5</td>\n",
+       "      <td>1.6</td>\n",
+       "      <td>versicolor</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>109</th>\n",
+       "      <td>7.2</td>\n",
+       "      <td>3.6</td>\n",
+       "      <td>6.1</td>\n",
+       "      <td>2.5</td>\n",
+       "      <td>virginica</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>5.4</td>\n",
+       "      <td>3.9</td>\n",
+       "      <td>1.7</td>\n",
+       "      <td>0.4</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>5.1</td>\n",
+       "      <td>3.8</td>\n",
+       "      <td>1.5</td>\n",
+       "      <td>0.3</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>5.4</td>\n",
+       "      <td>3.7</td>\n",
+       "      <td>1.5</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5.0</td>\n",
+       "      <td>3.6</td>\n",
+       "      <td>1.4</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>131</th>\n",
+       "      <td>7.9</td>\n",
+       "      <td>3.8</td>\n",
+       "      <td>6.4</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>virginica</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>5.7</td>\n",
+       "      <td>4.4</td>\n",
+       "      <td>1.5</td>\n",
+       "      <td>0.4</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>36</th>\n",
+       "      <td>5.5</td>\n",
+       "      <td>3.5</td>\n",
+       "      <td>1.3</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>5.4</td>\n",
+       "      <td>3.4</td>\n",
+       "      <td>1.7</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>5.8</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>1.2</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>44</th>\n",
+       "      <td>5.1</td>\n",
+       "      <td>3.8</td>\n",
+       "      <td>1.9</td>\n",
+       "      <td>0.4</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>5.1</td>\n",
+       "      <td>3.7</td>\n",
+       "      <td>1.5</td>\n",
+       "      <td>0.4</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>4.6</td>\n",
+       "      <td>3.6</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>5.2</td>\n",
+       "      <td>3.4</td>\n",
+       "      <td>1.4</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>4.8</td>\n",
+       "      <td>3.4</td>\n",
+       "      <td>1.6</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>46</th>\n",
+       "      <td>5.1</td>\n",
+       "      <td>3.8</td>\n",
+       "      <td>1.6</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>31</th>\n",
+       "      <td>5.4</td>\n",
+       "      <td>3.4</td>\n",
+       "      <td>1.5</td>\n",
+       "      <td>0.4</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>4.6</td>\n",
+       "      <td>3.4</td>\n",
+       "      <td>1.4</td>\n",
+       "      <td>0.3</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32</th>\n",
+       "      <td>5.2</td>\n",
+       "      <td>4.1</td>\n",
+       "      <td>1.5</td>\n",
+       "      <td>0.1</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>148</th>\n",
+       "      <td>6.2</td>\n",
+       "      <td>3.4</td>\n",
+       "      <td>5.4</td>\n",
+       "      <td>2.3</td>\n",
+       "      <td>virginica</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>5.0</td>\n",
+       "      <td>3.4</td>\n",
+       "      <td>1.6</td>\n",
+       "      <td>0.4</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>5.1</td>\n",
+       "      <td>3.5</td>\n",
+       "      <td>1.4</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>48</th>\n",
+       "      <td>5.3</td>\n",
+       "      <td>3.7</td>\n",
+       "      <td>1.5</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>40</th>\n",
+       "      <td>5.0</td>\n",
+       "      <td>3.5</td>\n",
+       "      <td>1.3</td>\n",
+       "      <td>0.3</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>33</th>\n",
+       "      <td>5.5</td>\n",
+       "      <td>4.2</td>\n",
+       "      <td>1.4</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>5.1</td>\n",
+       "      <td>3.5</td>\n",
+       "      <td>1.4</td>\n",
+       "      <td>0.3</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>117</th>\n",
+       "      <td>7.7</td>\n",
+       "      <td>3.8</td>\n",
+       "      <td>6.7</td>\n",
+       "      <td>2.2</td>\n",
+       "      <td>virginica</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     sepal_length  sepal_width  petal_length  petal_width     species\n",
+       "43            5.0          3.5           1.6          0.6      setosa\n",
+       "7             5.0          3.4           1.5          0.2      setosa\n",
+       "18            5.7          3.8           1.7          0.3      setosa\n",
+       "136           6.3          3.4           5.6          2.4   virginica\n",
+       "16            5.4          3.9           1.3          0.4      setosa\n",
+       "24            4.8          3.4           1.9          0.2      setosa\n",
+       "39            5.1          3.4           1.5          0.2      setosa\n",
+       "27            5.2          3.5           1.5          0.2      setosa\n",
+       "85            6.0          3.4           4.5          1.6  versicolor\n",
+       "109           7.2          3.6           6.1          2.5   virginica\n",
+       "5             5.4          3.9           1.7          0.4      setosa\n",
+       "19            5.1          3.8           1.5          0.3      setosa\n",
+       "10            5.4          3.7           1.5          0.2      setosa\n",
+       "4             5.0          3.6           1.4          0.2      setosa\n",
+       "131           7.9          3.8           6.4          2.0   virginica\n",
+       "15            5.7          4.4           1.5          0.4      setosa\n",
+       "36            5.5          3.5           1.3          0.2      setosa\n",
+       "20            5.4          3.4           1.7          0.2      setosa\n",
+       "14            5.8          4.0           1.2          0.2      setosa\n",
+       "44            5.1          3.8           1.9          0.4      setosa\n",
+       "21            5.1          3.7           1.5          0.4      setosa\n",
+       "22            4.6          3.6           1.0          0.2      setosa\n",
+       "28            5.2          3.4           1.4          0.2      setosa\n",
+       "11            4.8          3.4           1.6          0.2      setosa\n",
+       "46            5.1          3.8           1.6          0.2      setosa\n",
+       "31            5.4          3.4           1.5          0.4      setosa\n",
+       "6             4.6          3.4           1.4          0.3      setosa\n",
+       "32            5.2          4.1           1.5          0.1      setosa\n",
+       "148           6.2          3.4           5.4          2.3   virginica\n",
+       "26            5.0          3.4           1.6          0.4      setosa\n",
+       "0             5.1          3.5           1.4          0.2      setosa\n",
+       "48            5.3          3.7           1.5          0.2      setosa\n",
+       "40            5.0          3.5           1.3          0.3      setosa\n",
+       "33            5.5          4.2           1.4          0.2      setosa\n",
+       "17            5.1          3.5           1.4          0.3      setosa\n",
+       "117           7.7          3.8           6.7          2.2   virginica"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {
+      "tags": []
+     },
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "iris_df[iris_df['sepal_width']>3.3]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "gH3DnhCq2Cbl"
+   },
+   "source": [
+    "#### Club two filters together - Find all samples where sepal_width > 3.3 and species is versicolor"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 80
+    },
+    "colab_type": "code",
+    "id": "4U7ksr_R2H7M",
+    "outputId": "a245bbce-09c2-41e0-fb41-6138e8f8eddc"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>sepal_length</th>\n",
+       "      <th>sepal_width</th>\n",
+       "      <th>petal_length</th>\n",
+       "      <th>petal_width</th>\n",
+       "      <th>species</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>85</th>\n",
+       "      <td>6.0</td>\n",
+       "      <td>3.4</td>\n",
+       "      <td>4.5</td>\n",
+       "      <td>1.6</td>\n",
+       "      <td>versicolor</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    sepal_length  sepal_width  petal_length  petal_width     species\n",
+       "85           6.0          3.4           4.5          1.6  versicolor"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {
+      "tags": []
+     },
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "iris_df[(iris_df['sepal_width']>3.3) & (iris_df['species'] == 'versicolor')] "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "1lmnB3ot2u7I"
+   },
+   "source": [
+    "#### Sorting a column by value"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 1969
+    },
+    "colab_type": "code",
+    "id": "K7KIj6fv2zWP",
+    "outputId": "c38831d3-1fd3-4728-bfbf-c9355e4a96a5"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>sepal_length</th>\n",
+       "      <th>sepal_width</th>\n",
+       "      <th>petal_length</th>\n",
+       "      <th>petal_width</th>\n",
+       "      <th>species</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>60</th>\n",
+       "      <td>5.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>3.5</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>versicolor</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>62</th>\n",
+       "      <td>6.0</td>\n",
+       "      <td>2.2</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>versicolor</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>68</th>\n",
+       "      <td>6.2</td>\n",
+       "      <td>2.2</td>\n",
+       "      <td>4.5</td>\n",
+       "      <td>1.5</td>\n",
+       "      <td>versicolor</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>119</th>\n",
+       "      <td>6.0</td>\n",
+       "      <td>2.2</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>1.5</td>\n",
+       "      <td>virginica</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>87</th>\n",
+       "      <td>6.3</td>\n",
+       "      <td>2.3</td>\n",
+       "      <td>4.4</td>\n",
+       "      <td>1.3</td>\n",
+       "      <td>versicolor</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>53</th>\n",
+       "      <td>5.5</td>\n",
+       "      <td>2.3</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>1.3</td>\n",
+       "      <td>versicolor</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>93</th>\n",
+       "      <td>5.0</td>\n",
+       "      <td>2.3</td>\n",
+       "      <td>3.3</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>versicolor</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>41</th>\n",
+       "      <td>4.5</td>\n",
+       "      <td>2.3</td>\n",
+       "      <td>1.3</td>\n",
+       "      <td>0.3</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>57</th>\n",
+       "      <td>4.9</td>\n",
+       "      <td>2.4</td>\n",
+       "      <td>3.3</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>versicolor</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>81</th>\n",
+       "      <td>5.5</td>\n",
+       "      <td>2.4</td>\n",
+       "      <td>3.7</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>versicolor</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>80</th>\n",
+       "      <td>5.5</td>\n",
+       "      <td>2.4</td>\n",
+       "      <td>3.8</td>\n",
+       "      <td>1.1</td>\n",
+       "      <td>versicolor</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>72</th>\n",
+       "      <td>6.3</td>\n",
+       "      <td>2.5</td>\n",
+       "      <td>4.9</td>\n",
+       "      <td>1.5</td>\n",
+       "      <td>versicolor</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>108</th>\n",
+       "      <td>6.7</td>\n",
+       "      <td>2.5</td>\n",
+       "      <td>5.8</td>\n",
+       "      <td>1.8</td>\n",
+       "      <td>virginica</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>89</th>\n",
+       "      <td>5.5</td>\n",
+       "      <td>2.5</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>1.3</td>\n",
+       "      <td>versicolor</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>98</th>\n",
+       "      <td>5.1</td>\n",
+       "      <td>2.5</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>1.1</td>\n",
+       "      <td>versicolor</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>106</th>\n",
+       "      <td>4.9</td>\n",
+       "      <td>2.5</td>\n",
+       "      <td>4.5</td>\n",
+       "      <td>1.7</td>\n",
+       "      <td>virginica</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>69</th>\n",
+       "      <td>5.6</td>\n",
+       "      <td>2.5</td>\n",
+       "      <td>3.9</td>\n",
+       "      <td>1.1</td>\n",
+       "      <td>versicolor</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>146</th>\n",
+       "      <td>6.3</td>\n",
+       "      <td>2.5</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>1.9</td>\n",
+       "      <td>virginica</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>113</th>\n",
+       "      <td>5.7</td>\n",
+       "      <td>2.5</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>virginica</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>79</th>\n",
+       "      <td>5.7</td>\n",
+       "      <td>2.6</td>\n",
+       "      <td>3.5</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>versicolor</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>118</th>\n",
+       "      <td>7.7</td>\n",
+       "      <td>2.6</td>\n",
+       "      <td>6.9</td>\n",
+       "      <td>2.3</td>\n",
+       "      <td>virginica</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>92</th>\n",
+       "      <td>5.8</td>\n",
+       "      <td>2.6</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>1.2</td>\n",
+       "      <td>versicolor</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>90</th>\n",
+       "      <td>5.5</td>\n",
+       "      <td>2.6</td>\n",
+       "      <td>4.4</td>\n",
+       "      <td>1.2</td>\n",
+       "      <td>versicolor</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>134</th>\n",
+       "      <td>6.1</td>\n",
+       "      <td>2.6</td>\n",
+       "      <td>5.6</td>\n",
+       "      <td>1.4</td>\n",
+       "      <td>virginica</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>67</th>\n",
+       "      <td>5.8</td>\n",
+       "      <td>2.7</td>\n",
+       "      <td>4.1</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>versicolor</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>59</th>\n",
+       "      <td>5.2</td>\n",
+       "      <td>2.7</td>\n",
+       "      <td>3.9</td>\n",
+       "      <td>1.4</td>\n",
+       "      <td>versicolor</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>94</th>\n",
+       "      <td>5.6</td>\n",
+       "      <td>2.7</td>\n",
+       "      <td>4.2</td>\n",
+       "      <td>1.3</td>\n",
+       "      <td>versicolor</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>83</th>\n",
+       "      <td>6.0</td>\n",
+       "      <td>2.7</td>\n",
+       "      <td>5.1</td>\n",
+       "      <td>1.6</td>\n",
+       "      <td>versicolor</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>123</th>\n",
+       "      <td>6.3</td>\n",
+       "      <td>2.7</td>\n",
+       "      <td>4.9</td>\n",
+       "      <td>1.8</td>\n",
+       "      <td>virginica</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>101</th>\n",
+       "      <td>5.8</td>\n",
+       "      <td>2.7</td>\n",
+       "      <td>5.1</td>\n",
+       "      <td>1.9</td>\n",
+       "      <td>virginica</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>148</th>\n",
+       "      <td>6.2</td>\n",
+       "      <td>3.4</td>\n",
+       "      <td>5.4</td>\n",
+       "      <td>2.3</td>\n",
+       "      <td>virginica</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>136</th>\n",
+       "      <td>6.3</td>\n",
+       "      <td>3.4</td>\n",
+       "      <td>5.6</td>\n",
+       "      <td>2.4</td>\n",
+       "      <td>virginica</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>85</th>\n",
+       "      <td>6.0</td>\n",
+       "      <td>3.4</td>\n",
+       "      <td>4.5</td>\n",
+       "      <td>1.6</td>\n",
+       "      <td>versicolor</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>5.0</td>\n",
+       "      <td>3.4</td>\n",
+       "      <td>1.6</td>\n",
+       "      <td>0.4</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>4.8</td>\n",
+       "      <td>3.4</td>\n",
+       "      <td>1.9</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>5.4</td>\n",
+       "      <td>3.4</td>\n",
+       "      <td>1.7</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>36</th>\n",
+       "      <td>5.5</td>\n",
+       "      <td>3.5</td>\n",
+       "      <td>1.3</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>5.1</td>\n",
+       "      <td>3.5</td>\n",
+       "      <td>1.4</td>\n",
+       "      <td>0.3</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>40</th>\n",
+       "      <td>5.0</td>\n",
+       "      <td>3.5</td>\n",
+       "      <td>1.3</td>\n",
+       "      <td>0.3</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>43</th>\n",
+       "      <td>5.0</td>\n",
+       "      <td>3.5</td>\n",
+       "      <td>1.6</td>\n",
+       "      <td>0.6</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>5.1</td>\n",
+       "      <td>3.5</td>\n",
+       "      <td>1.4</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>5.2</td>\n",
+       "      <td>3.5</td>\n",
+       "      <td>1.5</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>4.6</td>\n",
+       "      <td>3.6</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5.0</td>\n",
+       "      <td>3.6</td>\n",
+       "      <td>1.4</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>109</th>\n",
+       "      <td>7.2</td>\n",
+       "      <td>3.6</td>\n",
+       "      <td>6.1</td>\n",
+       "      <td>2.5</td>\n",
+       "      <td>virginica</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>5.1</td>\n",
+       "      <td>3.7</td>\n",
+       "      <td>1.5</td>\n",
+       "      <td>0.4</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>48</th>\n",
+       "      <td>5.3</td>\n",
+       "      <td>3.7</td>\n",
+       "      <td>1.5</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>5.4</td>\n",
+       "      <td>3.7</td>\n",
+       "      <td>1.5</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>44</th>\n",
+       "      <td>5.1</td>\n",
+       "      <td>3.8</td>\n",
+       "      <td>1.9</td>\n",
+       "      <td>0.4</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>5.7</td>\n",
+       "      <td>3.8</td>\n",
+       "      <td>1.7</td>\n",
+       "      <td>0.3</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>46</th>\n",
+       "      <td>5.1</td>\n",
+       "      <td>3.8</td>\n",
+       "      <td>1.6</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>5.1</td>\n",
+       "      <td>3.8</td>\n",
+       "      <td>1.5</td>\n",
+       "      <td>0.3</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>131</th>\n",
+       "      <td>7.9</td>\n",
+       "      <td>3.8</td>\n",
+       "      <td>6.4</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>virginica</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>117</th>\n",
+       "      <td>7.7</td>\n",
+       "      <td>3.8</td>\n",
+       "      <td>6.7</td>\n",
+       "      <td>2.2</td>\n",
+       "      <td>virginica</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>5.4</td>\n",
+       "      <td>3.9</td>\n",
+       "      <td>1.3</td>\n",
+       "      <td>0.4</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>5.4</td>\n",
+       "      <td>3.9</td>\n",
+       "      <td>1.7</td>\n",
+       "      <td>0.4</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>5.8</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>1.2</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32</th>\n",
+       "      <td>5.2</td>\n",
+       "      <td>4.1</td>\n",
+       "      <td>1.5</td>\n",
+       "      <td>0.1</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>33</th>\n",
+       "      <td>5.5</td>\n",
+       "      <td>4.2</td>\n",
+       "      <td>1.4</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>5.7</td>\n",
+       "      <td>4.4</td>\n",
+       "      <td>1.5</td>\n",
+       "      <td>0.4</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>150 rows × 5 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     sepal_length  sepal_width  petal_length  petal_width     species\n",
+       "60            5.0          2.0           3.5          1.0  versicolor\n",
+       "62            6.0          2.2           4.0          1.0  versicolor\n",
+       "68            6.2          2.2           4.5          1.5  versicolor\n",
+       "119           6.0          2.2           5.0          1.5   virginica\n",
+       "87            6.3          2.3           4.4          1.3  versicolor\n",
+       "53            5.5          2.3           4.0          1.3  versicolor\n",
+       "93            5.0          2.3           3.3          1.0  versicolor\n",
+       "41            4.5          2.3           1.3          0.3      setosa\n",
+       "57            4.9          2.4           3.3          1.0  versicolor\n",
+       "81            5.5          2.4           3.7          1.0  versicolor\n",
+       "80            5.5          2.4           3.8          1.1  versicolor\n",
+       "72            6.3          2.5           4.9          1.5  versicolor\n",
+       "108           6.7          2.5           5.8          1.8   virginica\n",
+       "89            5.5          2.5           4.0          1.3  versicolor\n",
+       "98            5.1          2.5           3.0          1.1  versicolor\n",
+       "106           4.9          2.5           4.5          1.7   virginica\n",
+       "69            5.6          2.5           3.9          1.1  versicolor\n",
+       "146           6.3          2.5           5.0          1.9   virginica\n",
+       "113           5.7          2.5           5.0          2.0   virginica\n",
+       "79            5.7          2.6           3.5          1.0  versicolor\n",
+       "118           7.7          2.6           6.9          2.3   virginica\n",
+       "92            5.8          2.6           4.0          1.2  versicolor\n",
+       "90            5.5          2.6           4.4          1.2  versicolor\n",
+       "134           6.1          2.6           5.6          1.4   virginica\n",
+       "67            5.8          2.7           4.1          1.0  versicolor\n",
+       "59            5.2          2.7           3.9          1.4  versicolor\n",
+       "94            5.6          2.7           4.2          1.3  versicolor\n",
+       "83            6.0          2.7           5.1          1.6  versicolor\n",
+       "123           6.3          2.7           4.9          1.8   virginica\n",
+       "101           5.8          2.7           5.1          1.9   virginica\n",
+       "..            ...          ...           ...          ...         ...\n",
+       "148           6.2          3.4           5.4          2.3   virginica\n",
+       "136           6.3          3.4           5.6          2.4   virginica\n",
+       "85            6.0          3.4           4.5          1.6  versicolor\n",
+       "26            5.0          3.4           1.6          0.4      setosa\n",
+       "24            4.8          3.4           1.9          0.2      setosa\n",
+       "20            5.4          3.4           1.7          0.2      setosa\n",
+       "36            5.5          3.5           1.3          0.2      setosa\n",
+       "17            5.1          3.5           1.4          0.3      setosa\n",
+       "40            5.0          3.5           1.3          0.3      setosa\n",
+       "43            5.0          3.5           1.6          0.6      setosa\n",
+       "0             5.1          3.5           1.4          0.2      setosa\n",
+       "27            5.2          3.5           1.5          0.2      setosa\n",
+       "22            4.6          3.6           1.0          0.2      setosa\n",
+       "4             5.0          3.6           1.4          0.2      setosa\n",
+       "109           7.2          3.6           6.1          2.5   virginica\n",
+       "21            5.1          3.7           1.5          0.4      setosa\n",
+       "48            5.3          3.7           1.5          0.2      setosa\n",
+       "10            5.4          3.7           1.5          0.2      setosa\n",
+       "44            5.1          3.8           1.9          0.4      setosa\n",
+       "18            5.7          3.8           1.7          0.3      setosa\n",
+       "46            5.1          3.8           1.6          0.2      setosa\n",
+       "19            5.1          3.8           1.5          0.3      setosa\n",
+       "131           7.9          3.8           6.4          2.0   virginica\n",
+       "117           7.7          3.8           6.7          2.2   virginica\n",
+       "16            5.4          3.9           1.3          0.4      setosa\n",
+       "5             5.4          3.9           1.7          0.4      setosa\n",
+       "14            5.8          4.0           1.2          0.2      setosa\n",
+       "32            5.2          4.1           1.5          0.1      setosa\n",
+       "33            5.5          4.2           1.4          0.2      setosa\n",
+       "15            5.7          4.4           1.5          0.4      setosa\n",
+       "\n",
+       "[150 rows x 5 columns]"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {
+      "tags": []
+     },
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "iris_df.sort_values(by='sepal_width')#, ascending = False)\n",
+    "#pass ascending = False for descending order"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "9jg_Z4YCoMSV"
+   },
+   "source": [
+    "#### List all the unique species"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 34
+    },
+    "colab_type": "code",
+    "id": "M6EN78ufoJY7",
+    "outputId": "4ae0c425-f973-486f-817f-63cbe6897bdf"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['setosa' 'virginica' 'versicolor']\n"
+     ]
+    }
+   ],
+   "source": [
+    "species = iris_df['species'].unique()\n",
+    "\n",
+    "print(species)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "wG1i5nxBodmB"
+   },
+   "source": [
+    "#### Selecting a particular species using boolean mask (learnt in previous exercise)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 204
+    },
+    "colab_type": "code",
+    "id": "gZvpbKBwoVUe",
+    "outputId": "213a3376-8e60-4f9f-cf7e-937e98475206"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>sepal_length</th>\n",
+       "      <th>sepal_width</th>\n",
+       "      <th>petal_length</th>\n",
+       "      <th>petal_width</th>\n",
+       "      <th>species</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4.6</td>\n",
+       "      <td>3.1</td>\n",
+       "      <td>1.5</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>43</th>\n",
+       "      <td>5.0</td>\n",
+       "      <td>3.5</td>\n",
+       "      <td>1.6</td>\n",
+       "      <td>0.6</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>5.0</td>\n",
+       "      <td>3.4</td>\n",
+       "      <td>1.5</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>5.7</td>\n",
+       "      <td>3.8</td>\n",
+       "      <td>1.7</td>\n",
+       "      <td>0.3</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>42</th>\n",
+       "      <td>4.4</td>\n",
+       "      <td>3.2</td>\n",
+       "      <td>1.3</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    sepal_length  sepal_width  petal_length  petal_width species\n",
+       "3            4.6          3.1           1.5          0.2  setosa\n",
+       "43           5.0          3.5           1.6          0.6  setosa\n",
+       "7            5.0          3.4           1.5          0.2  setosa\n",
+       "18           5.7          3.8           1.7          0.3  setosa\n",
+       "42           4.4          3.2           1.3          0.2  setosa"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {
+      "tags": []
+     },
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "setosa = iris_df[iris_df['species'] == species[0]]\n",
+    "\n",
+    "setosa.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 204
+    },
+    "colab_type": "code",
+    "id": "7tumfZ3DotPG",
+    "outputId": "bf3850ab-a0eb-45fa-9816-fdd4c97517d2"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>sepal_length</th>\n",
+       "      <th>sepal_width</th>\n",
+       "      <th>petal_length</th>\n",
+       "      <th>petal_width</th>\n",
+       "      <th>species</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>115</th>\n",
+       "      <td>6.4</td>\n",
+       "      <td>3.2</td>\n",
+       "      <td>5.3</td>\n",
+       "      <td>2.3</td>\n",
+       "      <td>virginica</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>113</th>\n",
+       "      <td>5.7</td>\n",
+       "      <td>2.5</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>virginica</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>126</th>\n",
+       "      <td>6.2</td>\n",
+       "      <td>2.8</td>\n",
+       "      <td>4.8</td>\n",
+       "      <td>1.8</td>\n",
+       "      <td>virginica</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>122</th>\n",
+       "      <td>7.7</td>\n",
+       "      <td>2.8</td>\n",
+       "      <td>6.7</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>virginica</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>116</th>\n",
+       "      <td>6.5</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>5.5</td>\n",
+       "      <td>1.8</td>\n",
+       "      <td>virginica</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     sepal_length  sepal_width  petal_length  petal_width    species\n",
+       "115           6.4          3.2           5.3          2.3  virginica\n",
+       "113           5.7          2.5           5.0          2.0  virginica\n",
+       "126           6.2          2.8           4.8          1.8  virginica\n",
+       "122           7.7          2.8           6.7          2.0  virginica\n",
+       "116           6.5          3.0           5.5          1.8  virginica"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {
+      "tags": []
+     },
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# do the same for other 2 species \n",
+    "versicolor = iris_df[iris_df['species'] == species[1]]\n",
+    "\n",
+    "versicolor.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 204
+    },
+    "colab_type": "code",
+    "id": "cUYm5UqVpDPy",
+    "outputId": "a3cc4a4c-b06e-43c1-ed6a-b1f8fcb14de6"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>sepal_length</th>\n",
+       "      <th>sepal_width</th>\n",
+       "      <th>petal_length</th>\n",
+       "      <th>petal_width</th>\n",
+       "      <th>species</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>90</th>\n",
+       "      <td>5.5</td>\n",
+       "      <td>2.6</td>\n",
+       "      <td>4.4</td>\n",
+       "      <td>1.2</td>\n",
+       "      <td>versicolor</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>93</th>\n",
+       "      <td>5.0</td>\n",
+       "      <td>2.3</td>\n",
+       "      <td>3.3</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>versicolor</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50</th>\n",
+       "      <td>7.0</td>\n",
+       "      <td>3.2</td>\n",
+       "      <td>4.7</td>\n",
+       "      <td>1.4</td>\n",
+       "      <td>versicolor</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>60</th>\n",
+       "      <td>5.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>3.5</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>versicolor</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>62</th>\n",
+       "      <td>6.0</td>\n",
+       "      <td>2.2</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>versicolor</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    sepal_length  sepal_width  petal_length  petal_width     species\n",
+       "90           5.5          2.6           4.4          1.2  versicolor\n",
+       "93           5.0          2.3           3.3          1.0  versicolor\n",
+       "50           7.0          3.2           4.7          1.4  versicolor\n",
+       "60           5.0          2.0           3.5          1.0  versicolor\n",
+       "62           6.0          2.2           4.0          1.0  versicolor"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {
+      "tags": []
+     },
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "\n",
+    "\n",
+    "virginica = iris_df[iris_df['species'] == species[2]]\n",
+    "\n",
+    "virginica.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "-y1wDc8SpdQs"
+   },
+   "source": [
+    "#### Describe each created species to see the difference\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 297
+    },
+    "colab_type": "code",
+    "id": "eHrn3ZVRpOk5",
+    "outputId": "58e878f8-2aed-49b2-9529-545308332808"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>sepal_length</th>\n",
+       "      <th>sepal_width</th>\n",
+       "      <th>petal_length</th>\n",
+       "      <th>petal_width</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>50.00000</td>\n",
+       "      <td>50.000000</td>\n",
+       "      <td>50.000000</td>\n",
+       "      <td>50.00000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>5.00600</td>\n",
+       "      <td>3.418000</td>\n",
+       "      <td>1.464000</td>\n",
+       "      <td>0.24400</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>0.35249</td>\n",
+       "      <td>0.381024</td>\n",
+       "      <td>0.173511</td>\n",
+       "      <td>0.10721</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>4.30000</td>\n",
+       "      <td>2.300000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.10000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>4.80000</td>\n",
+       "      <td>3.125000</td>\n",
+       "      <td>1.400000</td>\n",
+       "      <td>0.20000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>5.00000</td>\n",
+       "      <td>3.400000</td>\n",
+       "      <td>1.500000</td>\n",
+       "      <td>0.20000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>5.20000</td>\n",
+       "      <td>3.675000</td>\n",
+       "      <td>1.575000</td>\n",
+       "      <td>0.30000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>5.80000</td>\n",
+       "      <td>4.400000</td>\n",
+       "      <td>1.900000</td>\n",
+       "      <td>0.60000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       sepal_length  sepal_width  petal_length  petal_width\n",
+       "count      50.00000    50.000000     50.000000     50.00000\n",
+       "mean        5.00600     3.418000      1.464000      0.24400\n",
+       "std         0.35249     0.381024      0.173511      0.10721\n",
+       "min         4.30000     2.300000      1.000000      0.10000\n",
+       "25%         4.80000     3.125000      1.400000      0.20000\n",
+       "50%         5.00000     3.400000      1.500000      0.20000\n",
+       "75%         5.20000     3.675000      1.575000      0.30000\n",
+       "max         5.80000     4.400000      1.900000      0.60000"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {
+      "tags": []
+     },
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "setosa.describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 297
+    },
+    "colab_type": "code",
+    "id": "GwJFT2GlpwUv",
+    "outputId": "3b040a37-357b-4f35-b1ba-9fa0c6166f9f"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>sepal_length</th>\n",
+       "      <th>sepal_width</th>\n",
+       "      <th>petal_length</th>\n",
+       "      <th>petal_width</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>50.00000</td>\n",
+       "      <td>50.000000</td>\n",
+       "      <td>50.000000</td>\n",
+       "      <td>50.00000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>6.58800</td>\n",
+       "      <td>2.974000</td>\n",
+       "      <td>5.552000</td>\n",
+       "      <td>2.02600</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>0.63588</td>\n",
+       "      <td>0.322497</td>\n",
+       "      <td>0.551895</td>\n",
+       "      <td>0.27465</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>4.90000</td>\n",
+       "      <td>2.200000</td>\n",
+       "      <td>4.500000</td>\n",
+       "      <td>1.40000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>6.22500</td>\n",
+       "      <td>2.800000</td>\n",
+       "      <td>5.100000</td>\n",
+       "      <td>1.80000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>6.50000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>5.550000</td>\n",
+       "      <td>2.00000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>6.90000</td>\n",
+       "      <td>3.175000</td>\n",
+       "      <td>5.875000</td>\n",
+       "      <td>2.30000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>7.90000</td>\n",
+       "      <td>3.800000</td>\n",
+       "      <td>6.900000</td>\n",
+       "      <td>2.50000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       sepal_length  sepal_width  petal_length  petal_width\n",
+       "count      50.00000    50.000000     50.000000     50.00000\n",
+       "mean        6.58800     2.974000      5.552000      2.02600\n",
+       "std         0.63588     0.322497      0.551895      0.27465\n",
+       "min         4.90000     2.200000      4.500000      1.40000\n",
+       "25%         6.22500     2.800000      5.100000      1.80000\n",
+       "50%         6.50000     3.000000      5.550000      2.00000\n",
+       "75%         6.90000     3.175000      5.875000      2.30000\n",
+       "max         7.90000     3.800000      6.900000      2.50000"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {
+      "tags": []
+     },
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "versicolor.describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 297
+    },
+    "colab_type": "code",
+    "id": "Ad4qhSZLpztf",
+    "outputId": "4a986bae-72a1-4e49-bb19-5999479897c6"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>sepal_length</th>\n",
+       "      <th>sepal_width</th>\n",
+       "      <th>petal_length</th>\n",
+       "      <th>petal_width</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>50.000000</td>\n",
+       "      <td>50.000000</td>\n",
+       "      <td>50.000000</td>\n",
+       "      <td>50.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>5.936000</td>\n",
+       "      <td>2.770000</td>\n",
+       "      <td>4.260000</td>\n",
+       "      <td>1.326000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>0.516171</td>\n",
+       "      <td>0.313798</td>\n",
+       "      <td>0.469911</td>\n",
+       "      <td>0.197753</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>4.900000</td>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>5.600000</td>\n",
+       "      <td>2.525000</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>1.200000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>5.900000</td>\n",
+       "      <td>2.800000</td>\n",
+       "      <td>4.350000</td>\n",
+       "      <td>1.300000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>6.300000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>4.600000</td>\n",
+       "      <td>1.500000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>7.000000</td>\n",
+       "      <td>3.400000</td>\n",
+       "      <td>5.100000</td>\n",
+       "      <td>1.800000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       sepal_length  sepal_width  petal_length  petal_width\n",
+       "count     50.000000    50.000000     50.000000    50.000000\n",
+       "mean       5.936000     2.770000      4.260000     1.326000\n",
+       "std        0.516171     0.313798      0.469911     0.197753\n",
+       "min        4.900000     2.000000      3.000000     1.000000\n",
+       "25%        5.600000     2.525000      4.000000     1.200000\n",
+       "50%        5.900000     2.800000      4.350000     1.300000\n",
+       "75%        6.300000     3.000000      4.600000     1.500000\n",
+       "max        7.000000     3.400000      5.100000     1.800000"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {
+      "tags": []
+     },
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "virginica.describe()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "Vdu0ulZWtr09"
+   },
+   "source": [
+    "#### Let's plot and see the difference"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "PEVMzRvpttmD"
+   },
+   "source": [
+    "##### import matplotlib.pyplot "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 398
+    },
+    "colab_type": "code",
+    "id": "rqDXuuAtt7C3",
+    "outputId": "e1111c09-8877-43f8-ac45-f92b53899a5c"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(array([ 4.,  1.,  6., 10.,  5.,  8.,  5.,  3.,  5.,  3.]),\n",
+       " array([4.9 , 5.11, 5.32, 5.53, 5.74, 5.95, 6.16, 6.37, 6.58, 6.79, 7.  ]),\n",
+       " <a list of 10 Patch objects>)"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {
+      "tags": []
+     },
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7f126775acc0>"
+      ]
+     },
+     "metadata": {
+      "tags": []
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "#hist creates a histogram there are many more plots(see the documentation) you can play with it.\n",
+    "\n",
+    "plt.hist(setosa['sepal_length'])\n",
+    "plt.hist(versicolor['sepal_length'])\n",
+    "plt.hist(virginica['sepal_length'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "pl4RPzBfl5mI"
+   },
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "colab": {
+   "name": "Get to know your Data.ipynb",
+   "provenance": [],
+   "version": "0.3.2"
+  },
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/SoumanPaul.ipynb b/SoumanPaul.ipynb
new file mode 100644
index 0000000..9e2543a
--- /dev/null
+++ b/SoumanPaul.ipynb
@@ -0,0 +1,32 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.5.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}