intro_to_data_science_with_python.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "yu07mcYFqxad"
   },
   "source": [
    "# Intro to Data Science with Python\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "nNEkGK2pxQ1j"
   },
   "source": [
    "We're going to use a Dataset built in to `sklearn`\n",
    "- What is `sklearn`?\n",
    "  - https://scikit-learn.org/stable/\n",
    "\n",
    "`sklearn` has 7 built in datasets to easiliy start playing with\n",
    "  - check out the whole list [here](https://scikit-learn.org/stable/datasets/index.html)\n",
    "\n",
    "We're going to use the famous [iris datatset](https://en.wikipedia.org/wiki/Iris_flower_data_set)\n",
    "  - Which contains data about flowers\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "wpeYWuNwsNFE"
   },
   "outputs": [],
   "source": [
    "# Import iris dataset function\n",
    "from sklearn.datasets import load_iris"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "avs8IAauuvzV"
   },
   "outputs": [],
   "source": [
    "# load iris data set and set as variable (iris)\n",
    "iris = load_iris()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "9xmiKiKH4sq_"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dict_keys(['data', 'target', 'target_names', 'DESCR', 'feature_names', 'filename'])\n"
     ]
    }
   ],
   "source": [
    "# If we didn't know the key value pairs in the data we could find out like this:\n",
    "print(iris.keys())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(150, 4)\n"
     ]
    }
   ],
   "source": [
    "#150 rows (samples) 4 columns (features: Height & Width of Pedals & Sepals) \n",
    "print(iris.data.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "f9SLw0Ze3gfF"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['sepal length (cm)',\n",
       " 'sepal width (cm)',\n",
       " 'petal length (cm)',\n",
       " 'petal width (cm)']"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# each feature name is 1 column\n",
    "iris.feature_names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "byOioAXv3Z3G"
   },
   "outputs": [
    {
     "data": {
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       "array([[5.1, 3.5, 1.4, 0.2],\n",
       "       [4.9, 3. , 1.4, 0.2],\n",
       "       [4.7, 3.2, 1.3, 0.2],\n",
       "       [4.6, 3.1, 1.5, 0.2],\n",
       "       [5. , 3.6, 1.4, 0.2],\n",
       "       [5.4, 3.9, 1.7, 0.4],\n",
       "       [4.6, 3.4, 1.4, 0.3],\n",
       "       [5. , 3.4, 1.5, 0.2],\n",
       "       [4.4, 2.9, 1.4, 0.2],\n",
       "       [4.9, 3.1, 1.5, 0.1],\n",
       "       [5.4, 3.7, 1.5, 0.2],\n",
       "       [4.8, 3.4, 1.6, 0.2],\n",
       "       [4.8, 3. , 1.4, 0.1],\n",
       "       [4.3, 3. , 1.1, 0.1],\n",
       "       [5.8, 4. , 1.2, 0.2],\n",
       "       [5.7, 4.4, 1.5, 0.4],\n",
       "       [5.4, 3.9, 1.3, 0.4],\n",
       "       [5.1, 3.5, 1.4, 0.3],\n",
       "       [5.7, 3.8, 1.7, 0.3],\n",
       "       [5.1, 3.8, 1.5, 0.3],\n",
       "       [5.4, 3.4, 1.7, 0.2],\n",
       "       [5.1, 3.7, 1.5, 0.4],\n",
       "       [4.6, 3.6, 1. , 0.2],\n",
       "       [5.1, 3.3, 1.7, 0.5],\n",
       "       [4.8, 3.4, 1.9, 0.2],\n",
       "       [5. , 3. , 1.6, 0.2],\n",
       "       [5. , 3.4, 1.6, 0.4],\n",
       "       [5.2, 3.5, 1.5, 0.2],\n",
       "       [5.2, 3.4, 1.4, 0.2],\n",
       "       [4.7, 3.2, 1.6, 0.2],\n",
       "       [4.8, 3.1, 1.6, 0.2],\n",
       "       [5.4, 3.4, 1.5, 0.4],\n",
       "       [5.2, 4.1, 1.5, 0.1],\n",
       "       [5.5, 4.2, 1.4, 0.2],\n",
       "       [4.9, 3.1, 1.5, 0.2],\n",
       "       [5. , 3.2, 1.2, 0.2],\n",
       "       [5.5, 3.5, 1.3, 0.2],\n",
       "       [4.9, 3.6, 1.4, 0.1],\n",
       "       [4.4, 3. , 1.3, 0.2],\n",
       "       [5.1, 3.4, 1.5, 0.2],\n",
       "       [5. , 3.5, 1.3, 0.3],\n",
       "       [4.5, 2.3, 1.3, 0.3],\n",
       "       [4.4, 3.2, 1.3, 0.2],\n",
       "       [5. , 3.5, 1.6, 0.6],\n",
       "       [5.1, 3.8, 1.9, 0.4],\n",
       "       [4.8, 3. , 1.4, 0.3],\n",
       "       [5.1, 3.8, 1.6, 0.2],\n",
       "       [4.6, 3.2, 1.4, 0.2],\n",
       "       [5.3, 3.7, 1.5, 0.2],\n",
       "       [5. , 3.3, 1.4, 0.2],\n",
       "       [7. , 3.2, 4.7, 1.4],\n",
       "       [6.4, 3.2, 4.5, 1.5],\n",
       "       [6.9, 3.1, 4.9, 1.5],\n",
       "       [5.5, 2.3, 4. , 1.3],\n",
       "       [6.5, 2.8, 4.6, 1.5],\n",
       "       [5.7, 2.8, 4.5, 1.3],\n",
       "       [6.3, 3.3, 4.7, 1.6],\n",
       "       [4.9, 2.4, 3.3, 1. ],\n",
       "       [6.6, 2.9, 4.6, 1.3],\n",
       "       [5.2, 2.7, 3.9, 1.4],\n",
       "       [5. , 2. , 3.5, 1. ],\n",
       "       [5.9, 3. , 4.2, 1.5],\n",
       "       [6. , 2.2, 4. , 1. ],\n",
       "       [6.1, 2.9, 4.7, 1.4],\n",
       "       [5.6, 2.9, 3.6, 1.3],\n",
       "       [6.7, 3.1, 4.4, 1.4],\n",
       "       [5.6, 3. , 4.5, 1.5],\n",
       "       [5.8, 2.7, 4.1, 1. ],\n",
       "       [6.2, 2.2, 4.5, 1.5],\n",
       "       [5.6, 2.5, 3.9, 1.1],\n",
       "       [5.9, 3.2, 4.8, 1.8],\n",
       "       [6.1, 2.8, 4. , 1.3],\n",
       "       [6.3, 2.5, 4.9, 1.5],\n",
       "       [6.1, 2.8, 4.7, 1.2],\n",
       "       [6.4, 2.9, 4.3, 1.3],\n",
       "       [6.6, 3. , 4.4, 1.4],\n",
       "       [6.8, 2.8, 4.8, 1.4],\n",
       "       [6.7, 3. , 5. , 1.7],\n",
       "       [6. , 2.9, 4.5, 1.5],\n",
       "       [5.7, 2.6, 3.5, 1. ],\n",
       "       [5.5, 2.4, 3.8, 1.1],\n",
       "       [5.5, 2.4, 3.7, 1. ],\n",
       "       [5.8, 2.7, 3.9, 1.2],\n",
       "       [6. , 2.7, 5.1, 1.6],\n",
       "       [5.4, 3. , 4.5, 1.5],\n",
       "       [6. , 3.4, 4.5, 1.6],\n",
       "       [6.7, 3.1, 4.7, 1.5],\n",
       "       [6.3, 2.3, 4.4, 1.3],\n",
       "       [5.6, 3. , 4.1, 1.3],\n",
       "       [5.5, 2.5, 4. , 1.3],\n",
       "       [5.5, 2.6, 4.4, 1.2],\n",
       "       [6.1, 3. , 4.6, 1.4],\n",
       "       [5.8, 2.6, 4. , 1.2],\n",
       "       [5. , 2.3, 3.3, 1. ],\n",
       "       [5.6, 2.7, 4.2, 1.3],\n",
       "       [5.7, 3. , 4.2, 1.2],\n",
       "       [5.7, 2.9, 4.2, 1.3],\n",
       "       [6.2, 2.9, 4.3, 1.3],\n",
       "       [5.1, 2.5, 3. , 1.1],\n",
       "       [5.7, 2.8, 4.1, 1.3],\n",
       "       [6.3, 3.3, 6. , 2.5],\n",
       "       [5.8, 2.7, 5.1, 1.9],\n",
       "       [7.1, 3. , 5.9, 2.1],\n",
       "       [6.3, 2.9, 5.6, 1.8],\n",
       "       [6.5, 3. , 5.8, 2.2],\n",
       "       [7.6, 3. , 6.6, 2.1],\n",
       "       [4.9, 2.5, 4.5, 1.7],\n",
       "       [7.3, 2.9, 6.3, 1.8],\n",
       "       [6.7, 2.5, 5.8, 1.8],\n",
       "       [7.2, 3.6, 6.1, 2.5],\n",
       "       [6.5, 3.2, 5.1, 2. ],\n",
       "       [6.4, 2.7, 5.3, 1.9],\n",
       "       [6.8, 3. , 5.5, 2.1],\n",
       "       [5.7, 2.5, 5. , 2. ],\n",
       "       [5.8, 2.8, 5.1, 2.4],\n",
       "       [6.4, 3.2, 5.3, 2.3],\n",
       "       [6.5, 3. , 5.5, 1.8],\n",
       "       [7.7, 3.8, 6.7, 2.2],\n",
       "       [7.7, 2.6, 6.9, 2.3],\n",
       "       [6. , 2.2, 5. , 1.5],\n",
       "       [6.9, 3.2, 5.7, 2.3],\n",
       "       [5.6, 2.8, 4.9, 2. ],\n",
       "       [7.7, 2.8, 6.7, 2. ],\n",
       "       [6.3, 2.7, 4.9, 1.8],\n",
       "       [6.7, 3.3, 5.7, 2.1],\n",
       "       [7.2, 3.2, 6. , 1.8],\n",
       "       [6.2, 2.8, 4.8, 1.8],\n",
       "       [6.1, 3. , 4.9, 1.8],\n",
       "       [6.4, 2.8, 5.6, 2.1],\n",
       "       [7.2, 3. , 5.8, 1.6],\n",
       "       [7.4, 2.8, 6.1, 1.9],\n",
       "       [7.9, 3.8, 6.4, 2. ],\n",
       "       [6.4, 2.8, 5.6, 2.2],\n",
       "       [6.3, 2.8, 5.1, 1.5],\n",
       "       [6.1, 2.6, 5.6, 1.4],\n",
       "       [7.7, 3. , 6.1, 2.3],\n",
       "       [6.3, 3.4, 5.6, 2.4],\n",
       "       [6.4, 3.1, 5.5, 1.8],\n",
       "       [6. , 3. , 4.8, 1.8],\n",
       "       [6.9, 3.1, 5.4, 2.1],\n",
       "       [6.7, 3.1, 5.6, 2.4],\n",
       "       [6.9, 3.1, 5.1, 2.3],\n",
       "       [5.8, 2.7, 5.1, 1.9],\n",
       "       [6.8, 3.2, 5.9, 2.3],\n",
       "       [6.7, 3.3, 5.7, 2.5],\n",
       "       [6.7, 3. , 5.2, 2.3],\n",
       "       [6.3, 2.5, 5. , 1.9],\n",
       "       [6.5, 3. , 5.2, 2. ],\n",
       "       [6.2, 3.4, 5.4, 2.3],\n",
       "       [5.9, 3. , 5.1, 1.8]])"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# here's what the data looks like\n",
    "iris.data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "opkgYlYY4Ugv"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Types of iris: ['setosa' 'versicolor' 'virginica']\n"
     ]
    }
   ],
   "source": [
    "# print out the list of lables\n",
    "print(\"Types of iris: {}\".format(iris['target_names']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "agBoB50S3UmQ"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
       "       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
       "       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,\n",
       "       2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,\n",
       "       2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2])"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# this is the target data\n",
    "iris.target"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "ML4IAK9j4guk"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Feature names: \n",
      "['sepal length (cm)', 'sepal width (cm)', 'petal length (cm)', 'petal width (cm)']\n"
     ]
    }
   ],
   "source": [
    "# Print out a list of feature names\n",
    "print(\"Feature names: \\n{}\".format(iris['feature_names']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "4CdNCSJO4mql"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sample Data:\n",
      "[[5.1 3.5 1.4 0.2]\n",
      " [4.9 3.  1.4 0.2]\n",
      " [4.7 3.2 1.3 0.2]\n",
      " [4.6 3.1 1.5 0.2]\n",
      " [5.  3.6 1.4 0.2]]\n"
     ]
    }
   ],
   "source": [
    "# print out the first 5 sets of features from each flower\n",
    "print(\"Sample Data:\\n{}\".format(iris['data'][:5]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "jOnOIgGt44zX"
   },
   "source": [
    "## Pandas Data Frames"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "6TO92A273deq"
   },
   "source": [
    "[Visit Pandas Docs here](https://pandas.pydata.org/)\n",
    "\n",
    "pandas is a software library written for the Python for data manipulation and analysis.[pa]\n",
    "\n",
    "A really neat feature of Pandas is creating DataFrames\n",
    "\n",
    "Data Frames are 2-dimensional labeled data structure with columns. Very similar looking to a spreadsheet.\n",
    "\n",
    "Lets use a dataframe to look more at our data!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "nbHETU935QEj"
   },
   "outputs": [],
   "source": [
    "#import Pandas\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "MFWUSFEqwwgB"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.core.frame.DataFrame"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Make a Dataframe\n",
    "df = pd.DataFrame(iris.data, columns=iris.feature_names)\n",
    "\n",
    "# a pandas DataFrame is it's own type\n",
    "type(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "J33QsRjuvrx6"
   },
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sepal length (cm)</th>\n",
       "      <th>sepal width (cm)</th>\n",
       "      <th>petal length (cm)</th>\n",
       "      <th>petal width (cm)</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",
       "    </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",
       "    </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",
       "    </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",
       "    </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",
       "    </tr>\n",
       "  </tbody>\n",
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      ],
      "text/plain": [
       "   sepal length (cm)  sepal width (cm)  petal length (cm)  petal width (cm)\n",
       "0                5.1               3.5                1.4               0.2\n",
       "1                4.9               3.0                1.4               0.2\n",
       "2                4.7               3.2                1.3               0.2\n",
       "3                4.6               3.1                1.5               0.2\n",
       "4                5.0               3.6                1.4               0.2"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# returns first 5 rows(default)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "tc5D_8eh62rK"
   },
   "outputs": [
    {
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       "\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 (cm)</th>\n",
       "      <th>sepal width (cm)</th>\n",
       "      <th>petal length (cm)</th>\n",
       "      <th>petal width (cm)</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",
       "    </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",
       "    </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",
       "    </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",
       "    </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",
       "    </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",
       "    </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",
       "    </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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>4.4</td>\n",
       "      <td>2.9</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.1</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",
       "    </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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>4.8</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>4.3</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.1</td>\n",
       "      <td>0.1</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",
       "    </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",
       "    </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",
       "    </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",
       "    </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",
       "    </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",
       "    </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",
       "    </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",
       "    </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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.3</td>\n",
       "      <td>1.7</td>\n",
       "      <td>0.5</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.2</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",
       "    </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",
       "    </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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>4.8</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.2</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",
       "    </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",
       "    </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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.2</td>\n",
       "      <td>0.2</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>4.4</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</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",
       "    </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",
       "    </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",
       "    </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",
       "    </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",
       "    </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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>4.8</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.3</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.3</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>6.4</td>\n",
       "      <td>3.2</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>6.9</td>\n",
       "      <td>3.1</td>\n",
       "      <td>4.9</td>\n",
       "      <td>1.5</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>6.5</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.6</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>5.7</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>6.3</td>\n",
       "      <td>3.3</td>\n",
       "      <td>4.7</td>\n",
       "      <td>1.6</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>6.6</td>\n",
       "      <td>2.9</td>\n",
       "      <td>4.6</td>\n",
       "      <td>1.3</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",
       "    </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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>5.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.2</td>\n",
       "      <td>1.5</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>6.1</td>\n",
       "      <td>2.9</td>\n",
       "      <td>4.7</td>\n",
       "      <td>1.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>5.6</td>\n",
       "      <td>2.9</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.1</td>\n",
       "      <td>4.4</td>\n",
       "      <td>1.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>5.6</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1.5</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",
       "    </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",
       "    </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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>5.9</td>\n",
       "      <td>3.2</td>\n",
       "      <td>4.8</td>\n",
       "      <td>1.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>6.1</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.3</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>6.1</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.7</td>\n",
       "      <td>1.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>6.4</td>\n",
       "      <td>2.9</td>\n",
       "      <td>4.3</td>\n",
       "      <td>1.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>6.6</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.4</td>\n",
       "      <td>1.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>6.8</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.8</td>\n",
       "      <td>1.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>6.0</td>\n",
       "      <td>2.9</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1.5</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",
       "    </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",
       "    </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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>5.8</td>\n",
       "      <td>2.7</td>\n",
       "      <td>3.9</td>\n",
       "      <td>1.2</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>5.4</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1.5</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.1</td>\n",
       "      <td>4.7</td>\n",
       "      <td>1.5</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>5.6</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.1</td>\n",
       "      <td>1.3</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",
       "    </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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>6.1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.6</td>\n",
       "      <td>1.4</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",
       "    </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",
       "    </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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>5.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.2</td>\n",
       "      <td>1.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>5.7</td>\n",
       "      <td>2.9</td>\n",
       "      <td>4.2</td>\n",
       "      <td>1.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>6.2</td>\n",
       "      <td>2.9</td>\n",
       "      <td>4.3</td>\n",
       "      <td>1.3</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>5.7</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.1</td>\n",
       "      <td>1.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>6.3</td>\n",
       "      <td>3.3</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.5</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>7.1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.9</td>\n",
       "      <td>2.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.9</td>\n",
       "      <td>5.6</td>\n",
       "      <td>1.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>6.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.8</td>\n",
       "      <td>2.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>7.6</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.6</td>\n",
       "      <td>2.1</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>7.3</td>\n",
       "      <td>2.9</td>\n",
       "      <td>6.3</td>\n",
       "      <td>1.8</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",
       "    </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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>6.5</td>\n",
       "      <td>3.2</td>\n",
       "      <td>5.1</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>6.4</td>\n",
       "      <td>2.7</td>\n",
       "      <td>5.3</td>\n",
       "      <td>1.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>6.8</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.5</td>\n",
       "      <td>2.1</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>5.8</td>\n",
       "      <td>2.8</td>\n",
       "      <td>5.1</td>\n",
       "      <td>2.4</td>\n",
       "    </tr>\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",
       "    </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",
       "    </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",
       "    </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",
       "    </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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>6.9</td>\n",
       "      <td>3.2</td>\n",
       "      <td>5.7</td>\n",
       "      <td>2.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>5.6</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.9</td>\n",
       "      <td>2.0</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",
       "    </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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.3</td>\n",
       "      <td>5.7</td>\n",
       "      <td>2.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>7.2</td>\n",
       "      <td>3.2</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.8</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>6.1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.9</td>\n",
       "      <td>1.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>6.4</td>\n",
       "      <td>2.8</td>\n",
       "      <td>5.6</td>\n",
       "      <td>2.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>7.2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.8</td>\n",
       "      <td>1.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>7.4</td>\n",
       "      <td>2.8</td>\n",
       "      <td>6.1</td>\n",
       "      <td>1.9</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>6.4</td>\n",
       "      <td>2.8</td>\n",
       "      <td>5.6</td>\n",
       "      <td>2.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.8</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.5</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>7.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.1</td>\n",
       "      <td>2.3</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>6.4</td>\n",
       "      <td>3.1</td>\n",
       "      <td>5.5</td>\n",
       "      <td>1.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.8</td>\n",
       "      <td>1.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>6.9</td>\n",
       "      <td>3.1</td>\n",
       "      <td>5.4</td>\n",
       "      <td>2.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.1</td>\n",
       "      <td>5.6</td>\n",
       "      <td>2.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>6.9</td>\n",
       "      <td>3.1</td>\n",
       "      <td>5.1</td>\n",
       "      <td>2.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>5.8</td>\n",
       "      <td>2.7</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>6.8</td>\n",
       "      <td>3.2</td>\n",
       "      <td>5.9</td>\n",
       "      <td>2.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.3</td>\n",
       "      <td>5.7</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.3</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>6.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.0</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>5.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     sepal length (cm)  sepal width (cm)  petal length (cm)  petal width (cm)\n",
       "0                  5.1               3.5                1.4               0.2\n",
       "1                  4.9               3.0                1.4               0.2\n",
       "2                  4.7               3.2                1.3               0.2\n",
       "3                  4.6               3.1                1.5               0.2\n",
       "4                  5.0               3.6                1.4               0.2\n",
       "5                  5.4               3.9                1.7               0.4\n",
       "6                  4.6               3.4                1.4               0.3\n",
       "7                  5.0               3.4                1.5               0.2\n",
       "8                  4.4               2.9                1.4               0.2\n",
       "9                  4.9               3.1                1.5               0.1\n",
       "10                 5.4               3.7                1.5               0.2\n",
       "11                 4.8               3.4                1.6               0.2\n",
       "12                 4.8               3.0                1.4               0.1\n",
       "13                 4.3               3.0                1.1               0.1\n",
       "14                 5.8               4.0                1.2               0.2\n",
       "15                 5.7               4.4                1.5               0.4\n",
       "16                 5.4               3.9                1.3               0.4\n",
       "17                 5.1               3.5                1.4               0.3\n",
       "18                 5.7               3.8                1.7               0.3\n",
       "19                 5.1               3.8                1.5               0.3\n",
       "20                 5.4               3.4                1.7               0.2\n",
       "21                 5.1               3.7                1.5               0.4\n",
       "22                 4.6               3.6                1.0               0.2\n",
       "23                 5.1               3.3                1.7               0.5\n",
       "24                 4.8               3.4                1.9               0.2\n",
       "25                 5.0               3.0                1.6               0.2\n",
       "26                 5.0               3.4                1.6               0.4\n",
       "27                 5.2               3.5                1.5               0.2\n",
       "28                 5.2               3.4                1.4               0.2\n",
       "29                 4.7               3.2                1.6               0.2\n",
       "30                 4.8               3.1                1.6               0.2\n",
       "31                 5.4               3.4                1.5               0.4\n",
       "32                 5.2               4.1                1.5               0.1\n",
       "33                 5.5               4.2                1.4               0.2\n",
       "34                 4.9               3.1                1.5               0.2\n",
       "35                 5.0               3.2                1.2               0.2\n",
       "36                 5.5               3.5                1.3               0.2\n",
       "37                 4.9               3.6                1.4               0.1\n",
       "38                 4.4               3.0                1.3               0.2\n",
       "39                 5.1               3.4                1.5               0.2\n",
       "40                 5.0               3.5                1.3               0.3\n",
       "41                 4.5               2.3                1.3               0.3\n",
       "42                 4.4               3.2                1.3               0.2\n",
       "43                 5.0               3.5                1.6               0.6\n",
       "44                 5.1               3.8                1.9               0.4\n",
       "45                 4.8               3.0                1.4               0.3\n",
       "46                 5.1               3.8                1.6               0.2\n",
       "47                 4.6               3.2                1.4               0.2\n",
       "48                 5.3               3.7                1.5               0.2\n",
       "49                 5.0               3.3                1.4               0.2\n",
       "50                 7.0               3.2                4.7               1.4\n",
       "51                 6.4               3.2                4.5               1.5\n",
       "52                 6.9               3.1                4.9               1.5\n",
       "53                 5.5               2.3                4.0               1.3\n",
       "54                 6.5               2.8                4.6               1.5\n",
       "55                 5.7               2.8                4.5               1.3\n",
       "56                 6.3               3.3                4.7               1.6\n",
       "57                 4.9               2.4                3.3               1.0\n",
       "58                 6.6               2.9                4.6               1.3\n",
       "59                 5.2               2.7                3.9               1.4\n",
       "60                 5.0               2.0                3.5               1.0\n",
       "61                 5.9               3.0                4.2               1.5\n",
       "62                 6.0               2.2                4.0               1.0\n",
       "63                 6.1               2.9                4.7               1.4\n",
       "64                 5.6               2.9                3.6               1.3\n",
       "65                 6.7               3.1                4.4               1.4\n",
       "66                 5.6               3.0                4.5               1.5\n",
       "67                 5.8               2.7                4.1               1.0\n",
       "68                 6.2               2.2                4.5               1.5\n",
       "69                 5.6               2.5                3.9               1.1\n",
       "70                 5.9               3.2                4.8               1.8\n",
       "71                 6.1               2.8                4.0               1.3\n",
       "72                 6.3               2.5                4.9               1.5\n",
       "73                 6.1               2.8                4.7               1.2\n",
       "74                 6.4               2.9                4.3               1.3\n",
       "75                 6.6               3.0                4.4               1.4\n",
       "76                 6.8               2.8                4.8               1.4\n",
       "77                 6.7               3.0                5.0               1.7\n",
       "78                 6.0               2.9                4.5               1.5\n",
       "79                 5.7               2.6                3.5               1.0\n",
       "80                 5.5               2.4                3.8               1.1\n",
       "81                 5.5               2.4                3.7               1.0\n",
       "82                 5.8               2.7                3.9               1.2\n",
       "83                 6.0               2.7                5.1               1.6\n",
       "84                 5.4               3.0                4.5               1.5\n",
       "85                 6.0               3.4                4.5               1.6\n",
       "86                 6.7               3.1                4.7               1.5\n",
       "87                 6.3               2.3                4.4               1.3\n",
       "88                 5.6               3.0                4.1               1.3\n",
       "89                 5.5               2.5                4.0               1.3\n",
       "90                 5.5               2.6                4.4               1.2\n",
       "91                 6.1               3.0                4.6               1.4\n",
       "92                 5.8               2.6                4.0               1.2\n",
       "93                 5.0               2.3                3.3               1.0\n",
       "94                 5.6               2.7                4.2               1.3\n",
       "95                 5.7               3.0                4.2               1.2\n",
       "96                 5.7               2.9                4.2               1.3\n",
       "97                 6.2               2.9                4.3               1.3\n",
       "98                 5.1               2.5                3.0               1.1\n",
       "99                 5.7               2.8                4.1               1.3\n",
       "100                6.3               3.3                6.0               2.5\n",
       "101                5.8               2.7                5.1               1.9\n",
       "102                7.1               3.0                5.9               2.1\n",
       "103                6.3               2.9                5.6               1.8\n",
       "104                6.5               3.0                5.8               2.2\n",
       "105                7.6               3.0                6.6               2.1\n",
       "106                4.9               2.5                4.5               1.7\n",
       "107                7.3               2.9                6.3               1.8\n",
       "108                6.7               2.5                5.8               1.8\n",
       "109                7.2               3.6                6.1               2.5\n",
       "110                6.5               3.2                5.1               2.0\n",
       "111                6.4               2.7                5.3               1.9\n",
       "112                6.8               3.0                5.5               2.1\n",
       "113                5.7               2.5                5.0               2.0\n",
       "114                5.8               2.8                5.1               2.4\n",
       "115                6.4               3.2                5.3               2.3\n",
       "116                6.5               3.0                5.5               1.8\n",
       "117                7.7               3.8                6.7               2.2\n",
       "118                7.7               2.6                6.9               2.3\n",
       "119                6.0               2.2                5.0               1.5\n",
       "120                6.9               3.2                5.7               2.3\n",
       "121                5.6               2.8                4.9               2.0\n",
       "122                7.7               2.8                6.7               2.0\n",
       "123                6.3               2.7                4.9               1.8\n",
       "124                6.7               3.3                5.7               2.1\n",
       "125                7.2               3.2                6.0               1.8\n",
       "126                6.2               2.8                4.8               1.8\n",
       "127                6.1               3.0                4.9               1.8\n",
       "128                6.4               2.8                5.6               2.1\n",
       "129                7.2               3.0                5.8               1.6\n",
       "130                7.4               2.8                6.1               1.9\n",
       "131                7.9               3.8                6.4               2.0\n",
       "132                6.4               2.8                5.6               2.2\n",
       "133                6.3               2.8                5.1               1.5\n",
       "134                6.1               2.6                5.6               1.4\n",
       "135                7.7               3.0                6.1               2.3\n",
       "136                6.3               3.4                5.6               2.4\n",
       "137                6.4               3.1                5.5               1.8\n",
       "138                6.0               3.0                4.8               1.8\n",
       "139                6.9               3.1                5.4               2.1\n",
       "140                6.7               3.1                5.6               2.4\n",
       "141                6.9               3.1                5.1               2.3\n",
       "142                5.8               2.7                5.1               1.9\n",
       "143                6.8               3.2                5.9               2.3\n",
       "144                6.7               3.3                5.7               2.5\n",
       "145                6.7               3.0                5.2               2.3\n",
       "146                6.3               2.5                5.0               1.9\n",
       "147                6.5               3.0                5.2               2.0\n",
       "148                6.2               3.4                5.4               2.3\n",
       "149                5.9               3.0                5.1               1.8"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Change settings to display all of our rows. \n",
    "pd.options.display.max_rows = 200\n",
    "\n",
    "# see entire dataframe\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "Ski-LTm_4zF8"
   },
   "source": [
    "## Make a better data frame\n",
    "\n",
    "We're not going to cover much `numpy` in this workshop but I absolutley suggest you read more about it after! \n",
    "- You can do that [here](http://www.numpy.org/)\n",
    "\n",
    "Numpy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.\n",
    "\n",
    "- You'll come accross it again as you keep learning about data science!\n",
    "\n",
    "We're using a function of it it here to essentially combine our iris `target` data onto our already exsiting iris data\n",
    "- read more about it [here](https://docs.scipy.org/doc/numpy/reference/generated/numpy.c_.html)\n",
    "\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "U40wdabY4FCk"
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "betterdf = pd.DataFrame(data= np.c_[iris['data'], iris['target']],\n",
    "                     columns= iris['feature_names'] + ['target'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "SDGVuWeq5EVp"
   },
   "outputs": [
    {
     "data": {
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       "      <th>sepal length (cm)</th>\n",
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       "      <th>0</th>\n",
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       "      <th>1</th>\n",
       "      <td>4.9</td>\n",
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       "      <td>0.0</td>\n",
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       "      <th>2</th>\n",
       "      <td>4.7</td>\n",
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       "      <td>0.0</td>\n",
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       "      <th>3</th>\n",
       "      <td>4.6</td>\n",
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       "      <td>0.2</td>\n",
       "      <td>0.0</td>\n",
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       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
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       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</td>\n",
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       "</div>"
      ],
      "text/plain": [
       "   sepal length (cm)  sepal width (cm)  petal length (cm)  petal width (cm)  \\\n",
       "0                5.1               3.5                1.4               0.2   \n",
       "1                4.9               3.0                1.4               0.2   \n",
       "2                4.7               3.2                1.3               0.2   \n",
       "3                4.6               3.1                1.5               0.2   \n",
       "4                5.0               3.6                1.4               0.2   \n",
       "\n",
       "   target  \n",
       "0     0.0  \n",
       "1     0.0  \n",
       "2     0.0  \n",
       "3     0.0  \n",
       "4     0.0  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "betterdf.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "EspE5MtC4NKV"
   },
   "outputs": [
    {
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       "      <th>sepal length (cm)</th>\n",
       "      <th>sepal width (cm)</th>\n",
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       "  <tbody>\n",
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       "      <th>0</th>\n",
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       "      <td>0.0</td>\n",
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       "      <th>1</th>\n",
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       "      <th>2</th>\n",
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       "      <th>3</th>\n",
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       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
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       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5.4</td>\n",
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       "      <td>1.7</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>4.6</td>\n",
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       "      <td>1.4</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>5.0</td>\n",
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       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>4.4</td>\n",
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       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.0</td>\n",
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       "    <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>0.0</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>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>4.8</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>4.3</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</td>\n",
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       "    <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>0.0</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>0.0</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>0.0</td>\n",
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       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.3</td>\n",
       "      <td>1.7</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.0</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>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</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>0.0</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>0.0</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>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>4.8</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</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>0.0</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>0.0</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>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</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>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>4.4</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>4.8</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.0</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>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</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>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.3</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</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>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>6.4</td>\n",
       "      <td>3.2</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>6.9</td>\n",
       "      <td>3.1</td>\n",
       "      <td>4.9</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1.0</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>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>6.5</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.6</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>5.7</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>6.3</td>\n",
       "      <td>3.3</td>\n",
       "      <td>4.7</td>\n",
       "      <td>1.6</td>\n",
       "      <td>1.0</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>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>6.6</td>\n",
       "      <td>2.9</td>\n",
       "      <td>4.6</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1.0</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>1.0</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>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>5.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.2</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1.0</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>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>6.1</td>\n",
       "      <td>2.9</td>\n",
       "      <td>4.7</td>\n",
       "      <td>1.4</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>5.6</td>\n",
       "      <td>2.9</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.1</td>\n",
       "      <td>4.4</td>\n",
       "      <td>1.4</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>5.6</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1.0</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>1.0</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>1.0</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>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>5.9</td>\n",
       "      <td>3.2</td>\n",
       "      <td>4.8</td>\n",
       "      <td>1.8</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>6.1</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1.0</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>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>6.1</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.7</td>\n",
       "      <td>1.2</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>6.4</td>\n",
       "      <td>2.9</td>\n",
       "      <td>4.3</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>6.6</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.4</td>\n",
       "      <td>1.4</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>6.8</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.8</td>\n",
       "      <td>1.4</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.7</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>6.0</td>\n",
       "      <td>2.9</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1.0</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>1.0</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>1.0</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>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>5.8</td>\n",
       "      <td>2.7</td>\n",
       "      <td>3.9</td>\n",
       "      <td>1.2</td>\n",
       "      <td>1.0</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>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>5.4</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1.0</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>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.1</td>\n",
       "      <td>4.7</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1.0</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>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>5.6</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.1</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1.0</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>1.0</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>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>6.1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>1.0</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>1.0</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>1.0</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>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>5.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.2</td>\n",
       "      <td>1.2</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>5.7</td>\n",
       "      <td>2.9</td>\n",
       "      <td>4.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>6.2</td>\n",
       "      <td>2.9</td>\n",
       "      <td>4.3</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1.0</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>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>5.7</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.1</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>6.3</td>\n",
       "      <td>3.3</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.0</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>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>7.1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.9</td>\n",
       "      <td>2.1</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.9</td>\n",
       "      <td>5.6</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>6.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.8</td>\n",
       "      <td>2.2</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>7.6</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.6</td>\n",
       "      <td>2.1</td>\n",
       "      <td>2.0</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>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>7.3</td>\n",
       "      <td>2.9</td>\n",
       "      <td>6.3</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2.0</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>2.0</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>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>6.5</td>\n",
       "      <td>3.2</td>\n",
       "      <td>5.1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>6.4</td>\n",
       "      <td>2.7</td>\n",
       "      <td>5.3</td>\n",
       "      <td>1.9</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>6.8</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.5</td>\n",
       "      <td>2.1</td>\n",
       "      <td>2.0</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>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>5.8</td>\n",
       "      <td>2.8</td>\n",
       "      <td>5.1</td>\n",
       "      <td>2.4</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\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>2.0</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>2.0</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>2.0</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>2.0</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>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>6.9</td>\n",
       "      <td>3.2</td>\n",
       "      <td>5.7</td>\n",
       "      <td>2.3</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>5.6</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.9</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</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>2.0</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>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.3</td>\n",
       "      <td>5.7</td>\n",
       "      <td>2.1</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>7.2</td>\n",
       "      <td>3.2</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2.0</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>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>6.1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.9</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>6.4</td>\n",
       "      <td>2.8</td>\n",
       "      <td>5.6</td>\n",
       "      <td>2.1</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>7.2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.8</td>\n",
       "      <td>1.6</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>7.4</td>\n",
       "      <td>2.8</td>\n",
       "      <td>6.1</td>\n",
       "      <td>1.9</td>\n",
       "      <td>2.0</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>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>6.4</td>\n",
       "      <td>2.8</td>\n",
       "      <td>5.6</td>\n",
       "      <td>2.2</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.8</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>2.0</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>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>7.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.1</td>\n",
       "      <td>2.3</td>\n",
       "      <td>2.0</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>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>6.4</td>\n",
       "      <td>3.1</td>\n",
       "      <td>5.5</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.8</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>6.9</td>\n",
       "      <td>3.1</td>\n",
       "      <td>5.4</td>\n",
       "      <td>2.1</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.1</td>\n",
       "      <td>5.6</td>\n",
       "      <td>2.4</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>6.9</td>\n",
       "      <td>3.1</td>\n",
       "      <td>5.1</td>\n",
       "      <td>2.3</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>5.8</td>\n",
       "      <td>2.7</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.9</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>6.8</td>\n",
       "      <td>3.2</td>\n",
       "      <td>5.9</td>\n",
       "      <td>2.3</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.3</td>\n",
       "      <td>5.7</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.3</td>\n",
       "      <td>2.0</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>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>6.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</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>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>5.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     sepal length (cm)  sepal width (cm)  petal length (cm)  petal width (cm)  \\\n",
       "0                  5.1               3.5                1.4               0.2   \n",
       "1                  4.9               3.0                1.4               0.2   \n",
       "2                  4.7               3.2                1.3               0.2   \n",
       "3                  4.6               3.1                1.5               0.2   \n",
       "4                  5.0               3.6                1.4               0.2   \n",
       "5                  5.4               3.9                1.7               0.4   \n",
       "6                  4.6               3.4                1.4               0.3   \n",
       "7                  5.0               3.4                1.5               0.2   \n",
       "8                  4.4               2.9                1.4               0.2   \n",
       "9                  4.9               3.1                1.5               0.1   \n",
       "10                 5.4               3.7                1.5               0.2   \n",
       "11                 4.8               3.4                1.6               0.2   \n",
       "12                 4.8               3.0                1.4               0.1   \n",
       "13                 4.3               3.0                1.1               0.1   \n",
       "14                 5.8               4.0                1.2               0.2   \n",
       "15                 5.7               4.4                1.5               0.4   \n",
       "16                 5.4               3.9                1.3               0.4   \n",
       "17                 5.1               3.5                1.4               0.3   \n",
       "18                 5.7               3.8                1.7               0.3   \n",
       "19                 5.1               3.8                1.5               0.3   \n",
       "20                 5.4               3.4                1.7               0.2   \n",
       "21                 5.1               3.7                1.5               0.4   \n",
       "22                 4.6               3.6                1.0               0.2   \n",
       "23                 5.1               3.3                1.7               0.5   \n",
       "24                 4.8               3.4                1.9               0.2   \n",
       "25                 5.0               3.0                1.6               0.2   \n",
       "26                 5.0               3.4                1.6               0.4   \n",
       "27                 5.2               3.5                1.5               0.2   \n",
       "28                 5.2               3.4                1.4               0.2   \n",
       "29                 4.7               3.2                1.6               0.2   \n",
       "30                 4.8               3.1                1.6               0.2   \n",
       "31                 5.4               3.4                1.5               0.4   \n",
       "32                 5.2               4.1                1.5               0.1   \n",
       "33                 5.5               4.2                1.4               0.2   \n",
       "34                 4.9               3.1                1.5               0.2   \n",
       "35                 5.0               3.2                1.2               0.2   \n",
       "36                 5.5               3.5                1.3               0.2   \n",
       "37                 4.9               3.6                1.4               0.1   \n",
       "38                 4.4               3.0                1.3               0.2   \n",
       "39                 5.1               3.4                1.5               0.2   \n",
       "40                 5.0               3.5                1.3               0.3   \n",
       "41                 4.5               2.3                1.3               0.3   \n",
       "42                 4.4               3.2                1.3               0.2   \n",
       "43                 5.0               3.5                1.6               0.6   \n",
       "44                 5.1               3.8                1.9               0.4   \n",
       "45                 4.8               3.0                1.4               0.3   \n",
       "46                 5.1               3.8                1.6               0.2   \n",
       "47                 4.6               3.2                1.4               0.2   \n",
       "48                 5.3               3.7                1.5               0.2   \n",
       "49                 5.0               3.3                1.4               0.2   \n",
       "50                 7.0               3.2                4.7               1.4   \n",
       "51                 6.4               3.2                4.5               1.5   \n",
       "52                 6.9               3.1                4.9               1.5   \n",
       "53                 5.5               2.3                4.0               1.3   \n",
       "54                 6.5               2.8                4.6               1.5   \n",
       "55                 5.7               2.8                4.5               1.3   \n",
       "56                 6.3               3.3                4.7               1.6   \n",
       "57                 4.9               2.4                3.3               1.0   \n",
       "58                 6.6               2.9                4.6               1.3   \n",
       "59                 5.2               2.7                3.9               1.4   \n",
       "60                 5.0               2.0                3.5               1.0   \n",
       "61                 5.9               3.0                4.2               1.5   \n",
       "62                 6.0               2.2                4.0               1.0   \n",
       "63                 6.1               2.9                4.7               1.4   \n",
       "64                 5.6               2.9                3.6               1.3   \n",
       "65                 6.7               3.1                4.4               1.4   \n",
       "66                 5.6               3.0                4.5               1.5   \n",
       "67                 5.8               2.7                4.1               1.0   \n",
       "68                 6.2               2.2                4.5               1.5   \n",
       "69                 5.6               2.5                3.9               1.1   \n",
       "70                 5.9               3.2                4.8               1.8   \n",
       "71                 6.1               2.8                4.0               1.3   \n",
       "72                 6.3               2.5                4.9               1.5   \n",
       "73                 6.1               2.8                4.7               1.2   \n",
       "74                 6.4               2.9                4.3               1.3   \n",
       "75                 6.6               3.0                4.4               1.4   \n",
       "76                 6.8               2.8                4.8               1.4   \n",
       "77                 6.7               3.0                5.0               1.7   \n",
       "78                 6.0               2.9                4.5               1.5   \n",
       "79                 5.7               2.6                3.5               1.0   \n",
       "80                 5.5               2.4                3.8               1.1   \n",
       "81                 5.5               2.4                3.7               1.0   \n",
       "82                 5.8               2.7                3.9               1.2   \n",
       "83                 6.0               2.7                5.1               1.6   \n",
       "84                 5.4               3.0                4.5               1.5   \n",
       "85                 6.0               3.4                4.5               1.6   \n",
       "86                 6.7               3.1                4.7               1.5   \n",
       "87                 6.3               2.3                4.4               1.3   \n",
       "88                 5.6               3.0                4.1               1.3   \n",
       "89                 5.5               2.5                4.0               1.3   \n",
       "90                 5.5               2.6                4.4               1.2   \n",
       "91                 6.1               3.0                4.6               1.4   \n",
       "92                 5.8               2.6                4.0               1.2   \n",
       "93                 5.0               2.3                3.3               1.0   \n",
       "94                 5.6               2.7                4.2               1.3   \n",
       "95                 5.7               3.0                4.2               1.2   \n",
       "96                 5.7               2.9                4.2               1.3   \n",
       "97                 6.2               2.9                4.3               1.3   \n",
       "98                 5.1               2.5                3.0               1.1   \n",
       "99                 5.7               2.8                4.1               1.3   \n",
       "100                6.3               3.3                6.0               2.5   \n",
       "101                5.8               2.7                5.1               1.9   \n",
       "102                7.1               3.0                5.9               2.1   \n",
       "103                6.3               2.9                5.6               1.8   \n",
       "104                6.5               3.0                5.8               2.2   \n",
       "105                7.6               3.0                6.6               2.1   \n",
       "106                4.9               2.5                4.5               1.7   \n",
       "107                7.3               2.9                6.3               1.8   \n",
       "108                6.7               2.5                5.8               1.8   \n",
       "109                7.2               3.6                6.1               2.5   \n",
       "110                6.5               3.2                5.1               2.0   \n",
       "111                6.4               2.7                5.3               1.9   \n",
       "112                6.8               3.0                5.5               2.1   \n",
       "113                5.7               2.5                5.0               2.0   \n",
       "114                5.8               2.8                5.1               2.4   \n",
       "115                6.4               3.2                5.3               2.3   \n",
       "116                6.5               3.0                5.5               1.8   \n",
       "117                7.7               3.8                6.7               2.2   \n",
       "118                7.7               2.6                6.9               2.3   \n",
       "119                6.0               2.2                5.0               1.5   \n",
       "120                6.9               3.2                5.7               2.3   \n",
       "121                5.6               2.8                4.9               2.0   \n",
       "122                7.7               2.8                6.7               2.0   \n",
       "123                6.3               2.7                4.9               1.8   \n",
       "124                6.7               3.3                5.7               2.1   \n",
       "125                7.2               3.2                6.0               1.8   \n",
       "126                6.2               2.8                4.8               1.8   \n",
       "127                6.1               3.0                4.9               1.8   \n",
       "128                6.4               2.8                5.6               2.1   \n",
       "129                7.2               3.0                5.8               1.6   \n",
       "130                7.4               2.8                6.1               1.9   \n",
       "131                7.9               3.8                6.4               2.0   \n",
       "132                6.4               2.8                5.6               2.2   \n",
       "133                6.3               2.8                5.1               1.5   \n",
       "134                6.1               2.6                5.6               1.4   \n",
       "135                7.7               3.0                6.1               2.3   \n",
       "136                6.3               3.4                5.6               2.4   \n",
       "137                6.4               3.1                5.5               1.8   \n",
       "138                6.0               3.0                4.8               1.8   \n",
       "139                6.9               3.1                5.4               2.1   \n",
       "140                6.7               3.1                5.6               2.4   \n",
       "141                6.9               3.1                5.1               2.3   \n",
       "142                5.8               2.7                5.1               1.9   \n",
       "143                6.8               3.2                5.9               2.3   \n",
       "144                6.7               3.3                5.7               2.5   \n",
       "145                6.7               3.0                5.2               2.3   \n",
       "146                6.3               2.5                5.0               1.9   \n",
       "147                6.5               3.0                5.2               2.0   \n",
       "148                6.2               3.4                5.4               2.3   \n",
       "149                5.9               3.0                5.1               1.8   \n",
       "\n",
       "     target  \n",
       "0       0.0  \n",
       "1       0.0  \n",
       "2       0.0  \n",
       "3       0.0  \n",
       "4       0.0  \n",
       "5       0.0  \n",
       "6       0.0  \n",
       "7       0.0  \n",
       "8       0.0  \n",
       "9       0.0  \n",
       "10      0.0  \n",
       "11      0.0  \n",
       "12      0.0  \n",
       "13      0.0  \n",
       "14      0.0  \n",
       "15      0.0  \n",
       "16      0.0  \n",
       "17      0.0  \n",
       "18      0.0  \n",
       "19      0.0  \n",
       "20      0.0  \n",
       "21      0.0  \n",
       "22      0.0  \n",
       "23      0.0  \n",
       "24      0.0  \n",
       "25      0.0  \n",
       "26      0.0  \n",
       "27      0.0  \n",
       "28      0.0  \n",
       "29      0.0  \n",
       "30      0.0  \n",
       "31      0.0  \n",
       "32      0.0  \n",
       "33      0.0  \n",
       "34      0.0  \n",
       "35      0.0  \n",
       "36      0.0  \n",
       "37      0.0  \n",
       "38      0.0  \n",
       "39      0.0  \n",
       "40      0.0  \n",
       "41      0.0  \n",
       "42      0.0  \n",
       "43      0.0  \n",
       "44      0.0  \n",
       "45      0.0  \n",
       "46      0.0  \n",
       "47      0.0  \n",
       "48      0.0  \n",
       "49      0.0  \n",
       "50      1.0  \n",
       "51      1.0  \n",
       "52      1.0  \n",
       "53      1.0  \n",
       "54      1.0  \n",
       "55      1.0  \n",
       "56      1.0  \n",
       "57      1.0  \n",
       "58      1.0  \n",
       "59      1.0  \n",
       "60      1.0  \n",
       "61      1.0  \n",
       "62      1.0  \n",
       "63      1.0  \n",
       "64      1.0  \n",
       "65      1.0  \n",
       "66      1.0  \n",
       "67      1.0  \n",
       "68      1.0  \n",
       "69      1.0  \n",
       "70      1.0  \n",
       "71      1.0  \n",
       "72      1.0  \n",
       "73      1.0  \n",
       "74      1.0  \n",
       "75      1.0  \n",
       "76      1.0  \n",
       "77      1.0  \n",
       "78      1.0  \n",
       "79      1.0  \n",
       "80      1.0  \n",
       "81      1.0  \n",
       "82      1.0  \n",
       "83      1.0  \n",
       "84      1.0  \n",
       "85      1.0  \n",
       "86      1.0  \n",
       "87      1.0  \n",
       "88      1.0  \n",
       "89      1.0  \n",
       "90      1.0  \n",
       "91      1.0  \n",
       "92      1.0  \n",
       "93      1.0  \n",
       "94      1.0  \n",
       "95      1.0  \n",
       "96      1.0  \n",
       "97      1.0  \n",
       "98      1.0  \n",
       "99      1.0  \n",
       "100     2.0  \n",
       "101     2.0  \n",
       "102     2.0  \n",
       "103     2.0  \n",
       "104     2.0  \n",
       "105     2.0  \n",
       "106     2.0  \n",
       "107     2.0  \n",
       "108     2.0  \n",
       "109     2.0  \n",
       "110     2.0  \n",
       "111     2.0  \n",
       "112     2.0  \n",
       "113     2.0  \n",
       "114     2.0  \n",
       "115     2.0  \n",
       "116     2.0  \n",
       "117     2.0  \n",
       "118     2.0  \n",
       "119     2.0  \n",
       "120     2.0  \n",
       "121     2.0  \n",
       "122     2.0  \n",
       "123     2.0  \n",
       "124     2.0  \n",
       "125     2.0  \n",
       "126     2.0  \n",
       "127     2.0  \n",
       "128     2.0  \n",
       "129     2.0  \n",
       "130     2.0  \n",
       "131     2.0  \n",
       "132     2.0  \n",
       "133     2.0  \n",
       "134     2.0  \n",
       "135     2.0  \n",
       "136     2.0  \n",
       "137     2.0  \n",
       "138     2.0  \n",
       "139     2.0  \n",
       "140     2.0  \n",
       "141     2.0  \n",
       "142     2.0  \n",
       "143     2.0  \n",
       "144     2.0  \n",
       "145     2.0  \n",
       "146     2.0  \n",
       "147     2.0  \n",
       "148     2.0  \n",
       "149     2.0  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Print out longer list to see target value change\n",
    "betterdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.core.frame.DataFrame"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(betterdf)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "5nCX9axfyhxI"
   },
   "source": [
    "# Plotting with Pandas\n",
    "\n",
    "Read more about plotting and charts [here](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.plot.html)\n",
    "\n",
    "Dataframes are great for initally looking at our data, but a chart is often much easier for us humans to see patterns!\n",
    "\n",
    "Lets make a quick chart for exploring our iris dataset!\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "7rKQTC2izqYh"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['sepal length (cm)',\n",
       " 'sepal width (cm)',\n",
       " 'petal length (cm)',\n",
       " 'petal width (cm)']"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# What are our feature (column) names again?\n",
    "iris.feature_names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "6-5vhQg_ylWO"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11f0139e8>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "betterdf.plot(kind='scatter', x = 'sepal length (cm)', y = 'petal width (cm)', c='target')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "fKtya2nrSFzG"
   },
   "source": [
    "Lets add a more human freindly color!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "RpU7LMPUQJhd"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1211a0b38>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Add color map at the end\n",
    "betterdf.plot(kind='scatter', x = 'sepal length (cm)', y = 'petal width (cm)', c='target', cmap=('spring'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "9Bz028E_X6rO"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Lets clean it up a bit more!\n",
    "# Limit the color to three. \n",
    "# Clean up formatting\n",
    "# Adding Semi colon at the end removes the <matplotlib.axes._subplots.AxesSubplot at 0x7fe3904d6748>\n",
    "\n",
    "# Reaching the limitations of whats built into dataframe plots\n",
    "# We can import matplot lib and start using more of custimization. \n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "betterdf.plot(kind='scatter', \n",
    "              x = 'sepal length (cm)', \n",
    "              y = 'petal width (cm)', \n",
    "              c='target',\n",
    "              cmap=plt.cm.get_cmap('spring',3));"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "mJvHLDMZUvW-"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['setosa' 'versicolor' 'virginica']\n"
     ]
    }
   ],
   "source": [
    "print(iris.target_names)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "70ItHN0sSuTX"
   },
   "source": [
    "Challenge! Do an exploratory analysis of one of the other built in Data Sets!\n",
    "\n",
    "Make a data frame and look at the data\n",
    "\n",
    "Make a chart, play around with different chart types to see what works best \n",
    "\n",
    "Just try things and see what happens! Don't be afraid of breaking anything!\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "Me0N03t_TASy"
   },
   "outputs": [],
   "source": [
    "# Get started \n",
    "\n",
    "# Import wine dataset\n",
    "from sklearn.datasets import load_wine\n",
    "\n",
    "# just like load_iris()\n",
    "wine = load_wine()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "UWyzV6cVTA7q"
   },
   "source": [
    "### A Solution / Example | Try on your Own first!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "YXG9a54NTFlr"
   },
   "outputs": [],
   "source": [
    "# Import wine dataset\n",
    "from sklearn.datasets import load_wine\n",
    "\n",
    "wine = load_wine()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 52
    },
    "colab_type": "code",
    "id": "QV7ual1l-aWU",
    "outputId": "a6f5cd79-94e3-457e-affe-d3998eafa830"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dict_keys(['data', 'target', 'target_names', 'DESCR', 'feature_names'])\n",
      "(178, 13)\n"
     ]
    }
   ],
   "source": [
    "# If we didn't know the key value pairs in the data we could find out like this:\n",
    "print(wine.keys())\n",
    "\n",
    "#150 rows (samples) 4 columns (features: Height & Width of Pedals & Sepals) \n",
    "print(wine.data.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "colab_type": "code",
    "id": "A8E_EAGq-gaB",
    "outputId": "6be3f08f-af8c-4964-faab-4dbb11413b5a"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['class_0' 'class_1' 'class_2']\n"
     ]
    }
   ],
   "source": [
    "print(wine.target_names)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "IALzt3zz9-b0"
   },
   "outputs": [],
   "source": [
    "# Make a Dataframe\n",
    "winedf = pd.DataFrame(wine.data, columns=wine.feature_names)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 5408
    },
    "colab_type": "code",
    "id": "bCaaChvu-Clw",
    "outputId": "413ef95e-426d-493c-b907-7a59abcf3af3"
   },
   "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>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>14.23</td>\n",
       "      <td>1.71</td>\n",
       "      <td>2.43</td>\n",
       "      <td>15.6</td>\n",
       "      <td>127.0</td>\n",
       "      <td>2.80</td>\n",
       "      <td>3.06</td>\n",
       "      <td>0.28</td>\n",
       "      <td>2.29</td>\n",
       "      <td>5.640000</td>\n",
       "      <td>1.040</td>\n",
       "      <td>3.92</td>\n",
       "      <td>1065.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>13.20</td>\n",
       "      <td>1.78</td>\n",
       "      <td>2.14</td>\n",
       "      <td>11.2</td>\n",
       "      <td>100.0</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>1.050</td>\n",
       "      <td>3.40</td>\n",
       "      <td>1050.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>13.16</td>\n",
       "      <td>2.36</td>\n",
       "      <td>2.67</td>\n",
       "      <td>18.6</td>\n",
       "      <td>101.0</td>\n",
       "      <td>2.80</td>\n",
       "      <td>3.24</td>\n",
       "      <td>0.30</td>\n",
       "      <td>2.81</td>\n",
       "      <td>5.680000</td>\n",
       "      <td>1.030</td>\n",
       "      <td>3.17</td>\n",
       "      <td>1185.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>14.37</td>\n",
       "      <td>1.95</td>\n",
       "      <td>2.50</td>\n",
       "      <td>16.8</td>\n",
       "      <td>113.0</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>0.860</td>\n",
       "      <td>3.45</td>\n",
       "      <td>1480.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\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>4.320000</td>\n",
       "      <td>1.040</td>\n",
       "      <td>2.93</td>\n",
       "      <td>735.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\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>6.750000</td>\n",
       "      <td>1.050</td>\n",
       "      <td>2.85</td>\n",
       "      <td>1450.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>14.39</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>5.250000</td>\n",
       "      <td>1.020</td>\n",
       "      <td>3.58</td>\n",
       "      <td>1290.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\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>1.060</td>\n",
       "      <td>3.58</td>\n",
       "      <td>1295.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\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>1.080</td>\n",
       "      <td>2.85</td>\n",
       "      <td>1045.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\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>1.010</td>\n",
       "      <td>3.55</td>\n",
       "      <td>1045.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>14.10</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>5.750000</td>\n",
       "      <td>1.250</td>\n",
       "      <td>3.17</td>\n",
       "      <td>1510.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\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>1.170</td>\n",
       "      <td>2.82</td>\n",
       "      <td>1280.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\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>1.150</td>\n",
       "      <td>2.90</td>\n",
       "      <td>1320.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\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>1.250</td>\n",
       "      <td>2.73</td>\n",
       "      <td>1150.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\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>1.200</td>\n",
       "      <td>3.00</td>\n",
       "      <td>1547.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\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>1.280</td>\n",
       "      <td>2.88</td>\n",
       "      <td>1310.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\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>1.070</td>\n",
       "      <td>2.65</td>\n",
       "      <td>1280.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\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>1.130</td>\n",
       "      <td>2.57</td>\n",
       "      <td>1130.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\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>1.230</td>\n",
       "      <td>2.82</td>\n",
       "      <td>1680.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\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>0.960</td>\n",
       "      <td>3.36</td>\n",
       "      <td>845.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\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>1.090</td>\n",
       "      <td>3.71</td>\n",
       "      <td>780.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\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>1.030</td>\n",
       "      <td>3.52</td>\n",
       "      <td>770.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\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>1.110</td>\n",
       "      <td>4.00</td>\n",
       "      <td>1035.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\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>1.090</td>\n",
       "      <td>3.63</td>\n",
       "      <td>1015.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\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>1.120</td>\n",
       "      <td>3.82</td>\n",
       "      <td>845.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\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>1.130</td>\n",
       "      <td>3.20</td>\n",
       "      <td>830.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\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>0.920</td>\n",
       "      <td>3.22</td>\n",
       "      <td>1195.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\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>1.020</td>\n",
       "      <td>2.77</td>\n",
       "      <td>1285.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\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>1.250</td>\n",
       "      <td>3.40</td>\n",
       "      <td>915.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\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>1.040</td>\n",
       "      <td>3.59</td>\n",
       "      <td>1035.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\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>1.190</td>\n",
       "      <td>2.71</td>\n",
       "      <td>1285.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\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>1.090</td>\n",
       "      <td>2.88</td>\n",
       "      <td>1515.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\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>1.230</td>\n",
       "      <td>2.87</td>\n",
       "      <td>990.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\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>1.250</td>\n",
       "      <td>3.00</td>\n",
       "      <td>1235.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\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>1.100</td>\n",
       "      <td>2.87</td>\n",
       "      <td>1095.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\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>1.040</td>\n",
       "      <td>3.47</td>\n",
       "      <td>920.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\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>1.090</td>\n",
       "      <td>2.78</td>\n",
       "      <td>880.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\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>1.120</td>\n",
       "      <td>2.51</td>\n",
       "      <td>1105.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>13.07</td>\n",
       "      <td>1.50</td>\n",
       "      <td>2.10</td>\n",
       "      <td>15.5</td>\n",
       "      <td>98.0</td>\n",
       "      <td>2.40</td>\n",
       "      <td>2.64</td>\n",
       "      <td>0.28</td>\n",
       "      <td>1.37</td>\n",
       "      <td>3.700000</td>\n",
       "      <td>1.180</td>\n",
       "      <td>2.69</td>\n",
       "      <td>1020.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>14.22</td>\n",
       "      <td>3.99</td>\n",
       "      <td>2.51</td>\n",
       "      <td>13.2</td>\n",
       "      <td>128.0</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>0.890</td>\n",
       "      <td>3.53</td>\n",
       "      <td>760.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>13.56</td>\n",
       "      <td>1.71</td>\n",
       "      <td>2.31</td>\n",
       "      <td>16.2</td>\n",
       "      <td>117.0</td>\n",
       "      <td>3.15</td>\n",
       "      <td>3.29</td>\n",
       "      <td>0.34</td>\n",
       "      <td>2.34</td>\n",
       "      <td>6.130000</td>\n",
       "      <td>0.950</td>\n",
       "      <td>3.38</td>\n",
       "      <td>795.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>13.41</td>\n",
       "      <td>3.84</td>\n",
       "      <td>2.12</td>\n",
       "      <td>18.8</td>\n",
       "      <td>90.0</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>0.910</td>\n",
       "      <td>3.00</td>\n",
       "      <td>1035.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>13.88</td>\n",
       "      <td>1.89</td>\n",
       "      <td>2.59</td>\n",
       "      <td>15.0</td>\n",
       "      <td>101.0</td>\n",
       "      <td>3.25</td>\n",
       "      <td>3.56</td>\n",
       "      <td>0.17</td>\n",
       "      <td>1.70</td>\n",
       "      <td>5.430000</td>\n",
       "      <td>0.880</td>\n",
       "      <td>3.56</td>\n",
       "      <td>1095.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>13.24</td>\n",
       "      <td>3.98</td>\n",
       "      <td>2.29</td>\n",
       "      <td>17.5</td>\n",
       "      <td>103.0</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>0.820</td>\n",
       "      <td>3.00</td>\n",
       "      <td>680.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>13.05</td>\n",
       "      <td>1.77</td>\n",
       "      <td>2.10</td>\n",
       "      <td>17.0</td>\n",
       "      <td>107.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.00</td>\n",
       "      <td>0.28</td>\n",
       "      <td>2.03</td>\n",
       "      <td>5.040000</td>\n",
       "      <td>0.880</td>\n",
       "      <td>3.35</td>\n",
       "      <td>885.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>14.21</td>\n",
       "      <td>4.04</td>\n",
       "      <td>2.44</td>\n",
       "      <td>18.9</td>\n",
       "      <td>111.0</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>0.870</td>\n",
       "      <td>3.33</td>\n",
       "      <td>1080.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>14.38</td>\n",
       "      <td>3.59</td>\n",
       "      <td>2.28</td>\n",
       "      <td>16.0</td>\n",
       "      <td>102.0</td>\n",
       "      <td>3.25</td>\n",
       "      <td>3.17</td>\n",
       "      <td>0.27</td>\n",
       "      <td>2.19</td>\n",
       "      <td>4.900000</td>\n",
       "      <td>1.040</td>\n",
       "      <td>3.44</td>\n",
       "      <td>1065.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>13.90</td>\n",
       "      <td>1.68</td>\n",
       "      <td>2.12</td>\n",
       "      <td>16.0</td>\n",
       "      <td>101.0</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>0.910</td>\n",
       "      <td>3.33</td>\n",
       "      <td>985.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>14.10</td>\n",
       "      <td>2.02</td>\n",
       "      <td>2.40</td>\n",
       "      <td>18.8</td>\n",
       "      <td>103.0</td>\n",
       "      <td>2.75</td>\n",
       "      <td>2.92</td>\n",
       "      <td>0.32</td>\n",
       "      <td>2.38</td>\n",
       "      <td>6.200000</td>\n",
       "      <td>1.070</td>\n",
       "      <td>2.75</td>\n",
       "      <td>1060.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>13.94</td>\n",
       "      <td>1.73</td>\n",
       "      <td>2.27</td>\n",
       "      <td>17.4</td>\n",
       "      <td>108.0</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>1.120</td>\n",
       "      <td>3.10</td>\n",
       "      <td>1260.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>13.05</td>\n",
       "      <td>1.73</td>\n",
       "      <td>2.04</td>\n",
       "      <td>12.4</td>\n",
       "      <td>92.0</td>\n",
       "      <td>2.72</td>\n",
       "      <td>3.27</td>\n",
       "      <td>0.17</td>\n",
       "      <td>2.91</td>\n",
       "      <td>7.200000</td>\n",
       "      <td>1.120</td>\n",
       "      <td>2.91</td>\n",
       "      <td>1150.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>13.83</td>\n",
       "      <td>1.65</td>\n",
       "      <td>2.60</td>\n",
       "      <td>17.2</td>\n",
       "      <td>94.0</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>1.240</td>\n",
       "      <td>3.37</td>\n",
       "      <td>1265.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>13.82</td>\n",
       "      <td>1.75</td>\n",
       "      <td>2.42</td>\n",
       "      <td>14.0</td>\n",
       "      <td>111.0</td>\n",
       "      <td>3.88</td>\n",
       "      <td>3.74</td>\n",
       "      <td>0.32</td>\n",
       "      <td>1.87</td>\n",
       "      <td>7.050000</td>\n",
       "      <td>1.010</td>\n",
       "      <td>3.26</td>\n",
       "      <td>1190.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>13.77</td>\n",
       "      <td>1.90</td>\n",
       "      <td>2.68</td>\n",
       "      <td>17.1</td>\n",
       "      <td>115.0</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>1.130</td>\n",
       "      <td>2.93</td>\n",
       "      <td>1375.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>13.74</td>\n",
       "      <td>1.67</td>\n",
       "      <td>2.25</td>\n",
       "      <td>16.4</td>\n",
       "      <td>118.0</td>\n",
       "      <td>2.60</td>\n",
       "      <td>2.90</td>\n",
       "      <td>0.21</td>\n",
       "      <td>1.62</td>\n",
       "      <td>5.850000</td>\n",
       "      <td>0.920</td>\n",
       "      <td>3.20</td>\n",
       "      <td>1060.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>13.56</td>\n",
       "      <td>1.73</td>\n",
       "      <td>2.46</td>\n",
       "      <td>20.5</td>\n",
       "      <td>116.0</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>0.980</td>\n",
       "      <td>3.03</td>\n",
       "      <td>1120.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>14.22</td>\n",
       "      <td>1.70</td>\n",
       "      <td>2.30</td>\n",
       "      <td>16.3</td>\n",
       "      <td>118.0</td>\n",
       "      <td>3.20</td>\n",
       "      <td>3.00</td>\n",
       "      <td>0.26</td>\n",
       "      <td>2.03</td>\n",
       "      <td>6.380000</td>\n",
       "      <td>0.940</td>\n",
       "      <td>3.31</td>\n",
       "      <td>970.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>13.29</td>\n",
       "      <td>1.97</td>\n",
       "      <td>2.68</td>\n",
       "      <td>16.8</td>\n",
       "      <td>102.0</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>1.070</td>\n",
       "      <td>2.84</td>\n",
       "      <td>1270.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>13.72</td>\n",
       "      <td>1.43</td>\n",
       "      <td>2.50</td>\n",
       "      <td>16.7</td>\n",
       "      <td>108.0</td>\n",
       "      <td>3.40</td>\n",
       "      <td>3.67</td>\n",
       "      <td>0.19</td>\n",
       "      <td>2.04</td>\n",
       "      <td>6.800000</td>\n",
       "      <td>0.890</td>\n",
       "      <td>2.87</td>\n",
       "      <td>1285.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>12.37</td>\n",
       "      <td>0.94</td>\n",
       "      <td>1.36</td>\n",
       "      <td>10.6</td>\n",
       "      <td>88.0</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>1.050</td>\n",
       "      <td>1.82</td>\n",
       "      <td>520.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>12.33</td>\n",
       "      <td>1.10</td>\n",
       "      <td>2.28</td>\n",
       "      <td>16.0</td>\n",
       "      <td>101.0</td>\n",
       "      <td>2.05</td>\n",
       "      <td>1.09</td>\n",
       "      <td>0.63</td>\n",
       "      <td>0.41</td>\n",
       "      <td>3.270000</td>\n",
       "      <td>1.250</td>\n",
       "      <td>1.67</td>\n",
       "      <td>680.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>12.64</td>\n",
       "      <td>1.36</td>\n",
       "      <td>2.02</td>\n",
       "      <td>16.8</td>\n",
       "      <td>100.0</td>\n",
       "      <td>2.02</td>\n",
       "      <td>1.41</td>\n",
       "      <td>0.53</td>\n",
       "      <td>0.62</td>\n",
       "      <td>5.750000</td>\n",
       "      <td>0.980</td>\n",
       "      <td>1.59</td>\n",
       "      <td>450.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>13.67</td>\n",
       "      <td>1.25</td>\n",
       "      <td>1.92</td>\n",
       "      <td>18.0</td>\n",
       "      <td>94.0</td>\n",
       "      <td>2.10</td>\n",
       "      <td>1.79</td>\n",
       "      <td>0.32</td>\n",
       "      <td>0.73</td>\n",
       "      <td>3.800000</td>\n",
       "      <td>1.230</td>\n",
       "      <td>2.46</td>\n",
       "      <td>630.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>12.37</td>\n",
       "      <td>1.13</td>\n",
       "      <td>2.16</td>\n",
       "      <td>19.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>3.50</td>\n",
       "      <td>3.10</td>\n",
       "      <td>0.19</td>\n",
       "      <td>1.87</td>\n",
       "      <td>4.450000</td>\n",
       "      <td>1.220</td>\n",
       "      <td>2.87</td>\n",
       "      <td>420.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>12.17</td>\n",
       "      <td>1.45</td>\n",
       "      <td>2.53</td>\n",
       "      <td>19.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>1.89</td>\n",
       "      <td>1.75</td>\n",
       "      <td>0.45</td>\n",
       "      <td>1.03</td>\n",
       "      <td>2.950000</td>\n",
       "      <td>1.450</td>\n",
       "      <td>2.23</td>\n",
       "      <td>355.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>12.37</td>\n",
       "      <td>1.21</td>\n",
       "      <td>2.56</td>\n",
       "      <td>18.1</td>\n",
       "      <td>98.0</td>\n",
       "      <td>2.42</td>\n",
       "      <td>2.65</td>\n",
       "      <td>0.37</td>\n",
       "      <td>2.08</td>\n",
       "      <td>4.600000</td>\n",
       "      <td>1.190</td>\n",
       "      <td>2.30</td>\n",
       "      <td>678.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>13.11</td>\n",
       "      <td>1.01</td>\n",
       "      <td>1.70</td>\n",
       "      <td>15.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>2.98</td>\n",
       "      <td>3.18</td>\n",
       "      <td>0.26</td>\n",
       "      <td>2.28</td>\n",
       "      <td>5.300000</td>\n",
       "      <td>1.120</td>\n",
       "      <td>3.18</td>\n",
       "      <td>502.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>12.37</td>\n",
       "      <td>1.17</td>\n",
       "      <td>1.92</td>\n",
       "      <td>19.6</td>\n",
       "      <td>78.0</td>\n",
       "      <td>2.11</td>\n",
       "      <td>2.00</td>\n",
       "      <td>0.27</td>\n",
       "      <td>1.04</td>\n",
       "      <td>4.680000</td>\n",
       "      <td>1.120</td>\n",
       "      <td>3.48</td>\n",
       "      <td>510.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>13.34</td>\n",
       "      <td>0.94</td>\n",
       "      <td>2.36</td>\n",
       "      <td>17.0</td>\n",
       "      <td>110.0</td>\n",
       "      <td>2.53</td>\n",
       "      <td>1.30</td>\n",
       "      <td>0.55</td>\n",
       "      <td>0.42</td>\n",
       "      <td>3.170000</td>\n",
       "      <td>1.020</td>\n",
       "      <td>1.93</td>\n",
       "      <td>750.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>12.21</td>\n",
       "      <td>1.19</td>\n",
       "      <td>1.75</td>\n",
       "      <td>16.8</td>\n",
       "      <td>151.0</td>\n",
       "      <td>1.85</td>\n",
       "      <td>1.28</td>\n",
       "      <td>0.14</td>\n",
       "      <td>2.50</td>\n",
       "      <td>2.850000</td>\n",
       "      <td>1.280</td>\n",
       "      <td>3.07</td>\n",
       "      <td>718.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>12.29</td>\n",
       "      <td>1.61</td>\n",
       "      <td>2.21</td>\n",
       "      <td>20.4</td>\n",
       "      <td>103.0</td>\n",
       "      <td>1.10</td>\n",
       "      <td>1.02</td>\n",
       "      <td>0.37</td>\n",
       "      <td>1.46</td>\n",
       "      <td>3.050000</td>\n",
       "      <td>0.906</td>\n",
       "      <td>1.82</td>\n",
       "      <td>870.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>13.86</td>\n",
       "      <td>1.51</td>\n",
       "      <td>2.67</td>\n",
       "      <td>25.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>2.95</td>\n",
       "      <td>2.86</td>\n",
       "      <td>0.21</td>\n",
       "      <td>1.87</td>\n",
       "      <td>3.380000</td>\n",
       "      <td>1.360</td>\n",
       "      <td>3.16</td>\n",
       "      <td>410.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>13.49</td>\n",
       "      <td>1.66</td>\n",
       "      <td>2.24</td>\n",
       "      <td>24.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>1.88</td>\n",
       "      <td>1.84</td>\n",
       "      <td>0.27</td>\n",
       "      <td>1.03</td>\n",
       "      <td>3.740000</td>\n",
       "      <td>0.980</td>\n",
       "      <td>2.78</td>\n",
       "      <td>472.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>12.99</td>\n",
       "      <td>1.67</td>\n",
       "      <td>2.60</td>\n",
       "      <td>30.0</td>\n",
       "      <td>139.0</td>\n",
       "      <td>3.30</td>\n",
       "      <td>2.89</td>\n",
       "      <td>0.21</td>\n",
       "      <td>1.96</td>\n",
       "      <td>3.350000</td>\n",
       "      <td>1.310</td>\n",
       "      <td>3.50</td>\n",
       "      <td>985.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>11.96</td>\n",
       "      <td>1.09</td>\n",
       "      <td>2.30</td>\n",
       "      <td>21.0</td>\n",
       "      <td>101.0</td>\n",
       "      <td>3.38</td>\n",
       "      <td>2.14</td>\n",
       "      <td>0.13</td>\n",
       "      <td>1.65</td>\n",
       "      <td>3.210000</td>\n",
       "      <td>0.990</td>\n",
       "      <td>3.13</td>\n",
       "      <td>886.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>11.66</td>\n",
       "      <td>1.88</td>\n",
       "      <td>1.92</td>\n",
       "      <td>16.0</td>\n",
       "      <td>97.0</td>\n",
       "      <td>1.61</td>\n",
       "      <td>1.57</td>\n",
       "      <td>0.34</td>\n",
       "      <td>1.15</td>\n",
       "      <td>3.800000</td>\n",
       "      <td>1.230</td>\n",
       "      <td>2.14</td>\n",
       "      <td>428.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>13.03</td>\n",
       "      <td>0.90</td>\n",
       "      <td>1.71</td>\n",
       "      <td>16.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>1.95</td>\n",
       "      <td>2.03</td>\n",
       "      <td>0.24</td>\n",
       "      <td>1.46</td>\n",
       "      <td>4.600000</td>\n",
       "      <td>1.190</td>\n",
       "      <td>2.48</td>\n",
       "      <td>392.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>11.84</td>\n",
       "      <td>2.89</td>\n",
       "      <td>2.23</td>\n",
       "      <td>18.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>1.72</td>\n",
       "      <td>1.32</td>\n",
       "      <td>0.43</td>\n",
       "      <td>0.95</td>\n",
       "      <td>2.650000</td>\n",
       "      <td>0.960</td>\n",
       "      <td>2.52</td>\n",
       "      <td>500.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>12.33</td>\n",
       "      <td>0.99</td>\n",
       "      <td>1.95</td>\n",
       "      <td>14.8</td>\n",
       "      <td>136.0</td>\n",
       "      <td>1.90</td>\n",
       "      <td>1.85</td>\n",
       "      <td>0.35</td>\n",
       "      <td>2.76</td>\n",
       "      <td>3.400000</td>\n",
       "      <td>1.060</td>\n",
       "      <td>2.31</td>\n",
       "      <td>750.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>12.70</td>\n",
       "      <td>3.87</td>\n",
       "      <td>2.40</td>\n",
       "      <td>23.0</td>\n",
       "      <td>101.0</td>\n",
       "      <td>2.83</td>\n",
       "      <td>2.55</td>\n",
       "      <td>0.43</td>\n",
       "      <td>1.95</td>\n",
       "      <td>2.570000</td>\n",
       "      <td>1.190</td>\n",
       "      <td>3.13</td>\n",
       "      <td>463.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>12.00</td>\n",
       "      <td>0.92</td>\n",
       "      <td>2.00</td>\n",
       "      <td>19.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>2.42</td>\n",
       "      <td>2.26</td>\n",
       "      <td>0.30</td>\n",
       "      <td>1.43</td>\n",
       "      <td>2.500000</td>\n",
       "      <td>1.380</td>\n",
       "      <td>3.12</td>\n",
       "      <td>278.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>12.72</td>\n",
       "      <td>1.81</td>\n",
       "      <td>2.20</td>\n",
       "      <td>18.8</td>\n",
       "      <td>86.0</td>\n",
       "      <td>2.20</td>\n",
       "      <td>2.53</td>\n",
       "      <td>0.26</td>\n",
       "      <td>1.77</td>\n",
       "      <td>3.900000</td>\n",
       "      <td>1.160</td>\n",
       "      <td>3.14</td>\n",
       "      <td>714.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>12.08</td>\n",
       "      <td>1.13</td>\n",
       "      <td>2.51</td>\n",
       "      <td>24.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>1.58</td>\n",
       "      <td>0.40</td>\n",
       "      <td>1.40</td>\n",
       "      <td>2.200000</td>\n",
       "      <td>1.310</td>\n",
       "      <td>2.72</td>\n",
       "      <td>630.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>13.05</td>\n",
       "      <td>3.86</td>\n",
       "      <td>2.32</td>\n",
       "      <td>22.5</td>\n",
       "      <td>85.0</td>\n",
       "      <td>1.65</td>\n",
       "      <td>1.59</td>\n",
       "      <td>0.61</td>\n",
       "      <td>1.62</td>\n",
       "      <td>4.800000</td>\n",
       "      <td>0.840</td>\n",
       "      <td>2.01</td>\n",
       "      <td>515.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>11.84</td>\n",
       "      <td>0.89</td>\n",
       "      <td>2.58</td>\n",
       "      <td>18.0</td>\n",
       "      <td>94.0</td>\n",
       "      <td>2.20</td>\n",
       "      <td>2.21</td>\n",
       "      <td>0.22</td>\n",
       "      <td>2.35</td>\n",
       "      <td>3.050000</td>\n",
       "      <td>0.790</td>\n",
       "      <td>3.08</td>\n",
       "      <td>520.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>12.67</td>\n",
       "      <td>0.98</td>\n",
       "      <td>2.24</td>\n",
       "      <td>18.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>2.20</td>\n",
       "      <td>1.94</td>\n",
       "      <td>0.30</td>\n",
       "      <td>1.46</td>\n",
       "      <td>2.620000</td>\n",
       "      <td>1.230</td>\n",
       "      <td>3.16</td>\n",
       "      <td>450.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>12.16</td>\n",
       "      <td>1.61</td>\n",
       "      <td>2.31</td>\n",
       "      <td>22.8</td>\n",
       "      <td>90.0</td>\n",
       "      <td>1.78</td>\n",
       "      <td>1.69</td>\n",
       "      <td>0.43</td>\n",
       "      <td>1.56</td>\n",
       "      <td>2.450000</td>\n",
       "      <td>1.330</td>\n",
       "      <td>2.26</td>\n",
       "      <td>495.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>11.65</td>\n",
       "      <td>1.67</td>\n",
       "      <td>2.62</td>\n",
       "      <td>26.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>1.92</td>\n",
       "      <td>1.61</td>\n",
       "      <td>0.40</td>\n",
       "      <td>1.34</td>\n",
       "      <td>2.600000</td>\n",
       "      <td>1.360</td>\n",
       "      <td>3.21</td>\n",
       "      <td>562.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>11.64</td>\n",
       "      <td>2.06</td>\n",
       "      <td>2.46</td>\n",
       "      <td>21.6</td>\n",
       "      <td>84.0</td>\n",
       "      <td>1.95</td>\n",
       "      <td>1.69</td>\n",
       "      <td>0.48</td>\n",
       "      <td>1.35</td>\n",
       "      <td>2.800000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>2.75</td>\n",
       "      <td>680.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>12.08</td>\n",
       "      <td>1.33</td>\n",
       "      <td>2.30</td>\n",
       "      <td>23.6</td>\n",
       "      <td>70.0</td>\n",
       "      <td>2.20</td>\n",
       "      <td>1.59</td>\n",
       "      <td>0.42</td>\n",
       "      <td>1.38</td>\n",
       "      <td>1.740000</td>\n",
       "      <td>1.070</td>\n",
       "      <td>3.21</td>\n",
       "      <td>625.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>12.08</td>\n",
       "      <td>1.83</td>\n",
       "      <td>2.32</td>\n",
       "      <td>18.5</td>\n",
       "      <td>81.0</td>\n",
       "      <td>1.60</td>\n",
       "      <td>1.50</td>\n",
       "      <td>0.52</td>\n",
       "      <td>1.64</td>\n",
       "      <td>2.400000</td>\n",
       "      <td>1.080</td>\n",
       "      <td>2.27</td>\n",
       "      <td>480.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>12.00</td>\n",
       "      <td>1.51</td>\n",
       "      <td>2.42</td>\n",
       "      <td>22.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>1.45</td>\n",
       "      <td>1.25</td>\n",
       "      <td>0.50</td>\n",
       "      <td>1.63</td>\n",
       "      <td>3.600000</td>\n",
       "      <td>1.050</td>\n",
       "      <td>2.65</td>\n",
       "      <td>450.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>12.69</td>\n",
       "      <td>1.53</td>\n",
       "      <td>2.26</td>\n",
       "      <td>20.7</td>\n",
       "      <td>80.0</td>\n",
       "      <td>1.38</td>\n",
       "      <td>1.46</td>\n",
       "      <td>0.58</td>\n",
       "      <td>1.62</td>\n",
       "      <td>3.050000</td>\n",
       "      <td>0.960</td>\n",
       "      <td>2.06</td>\n",
       "      <td>495.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>12.29</td>\n",
       "      <td>2.83</td>\n",
       "      <td>2.22</td>\n",
       "      <td>18.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>2.45</td>\n",
       "      <td>2.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>1.99</td>\n",
       "      <td>2.150000</td>\n",
       "      <td>1.150</td>\n",
       "      <td>3.30</td>\n",
       "      <td>290.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>11.62</td>\n",
       "      <td>1.99</td>\n",
       "      <td>2.28</td>\n",
       "      <td>18.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>3.02</td>\n",
       "      <td>2.26</td>\n",
       "      <td>0.17</td>\n",
       "      <td>1.35</td>\n",
       "      <td>3.250000</td>\n",
       "      <td>1.160</td>\n",
       "      <td>2.96</td>\n",
       "      <td>345.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>12.47</td>\n",
       "      <td>1.52</td>\n",
       "      <td>2.20</td>\n",
       "      <td>19.0</td>\n",
       "      <td>162.0</td>\n",
       "      <td>2.50</td>\n",
       "      <td>2.27</td>\n",
       "      <td>0.32</td>\n",
       "      <td>3.28</td>\n",
       "      <td>2.600000</td>\n",
       "      <td>1.160</td>\n",
       "      <td>2.63</td>\n",
       "      <td>937.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>11.81</td>\n",
       "      <td>2.12</td>\n",
       "      <td>2.74</td>\n",
       "      <td>21.5</td>\n",
       "      <td>134.0</td>\n",
       "      <td>1.60</td>\n",
       "      <td>0.99</td>\n",
       "      <td>0.14</td>\n",
       "      <td>1.56</td>\n",
       "      <td>2.500000</td>\n",
       "      <td>0.950</td>\n",
       "      <td>2.26</td>\n",
       "      <td>625.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>12.29</td>\n",
       "      <td>1.41</td>\n",
       "      <td>1.98</td>\n",
       "      <td>16.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>2.55</td>\n",
       "      <td>2.50</td>\n",
       "      <td>0.29</td>\n",
       "      <td>1.77</td>\n",
       "      <td>2.900000</td>\n",
       "      <td>1.230</td>\n",
       "      <td>2.74</td>\n",
       "      <td>428.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>12.37</td>\n",
       "      <td>1.07</td>\n",
       "      <td>2.10</td>\n",
       "      <td>18.5</td>\n",
       "      <td>88.0</td>\n",
       "      <td>3.52</td>\n",
       "      <td>3.75</td>\n",
       "      <td>0.24</td>\n",
       "      <td>1.95</td>\n",
       "      <td>4.500000</td>\n",
       "      <td>1.040</td>\n",
       "      <td>2.77</td>\n",
       "      <td>660.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>12.29</td>\n",
       "      <td>3.17</td>\n",
       "      <td>2.21</td>\n",
       "      <td>18.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>2.85</td>\n",
       "      <td>2.99</td>\n",
       "      <td>0.45</td>\n",
       "      <td>2.81</td>\n",
       "      <td>2.300000</td>\n",
       "      <td>1.420</td>\n",
       "      <td>2.83</td>\n",
       "      <td>406.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>12.08</td>\n",
       "      <td>2.08</td>\n",
       "      <td>1.70</td>\n",
       "      <td>17.5</td>\n",
       "      <td>97.0</td>\n",
       "      <td>2.23</td>\n",
       "      <td>2.17</td>\n",
       "      <td>0.26</td>\n",
       "      <td>1.40</td>\n",
       "      <td>3.300000</td>\n",
       "      <td>1.270</td>\n",
       "      <td>2.96</td>\n",
       "      <td>710.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>12.60</td>\n",
       "      <td>1.34</td>\n",
       "      <td>1.90</td>\n",
       "      <td>18.5</td>\n",
       "      <td>88.0</td>\n",
       "      <td>1.45</td>\n",
       "      <td>1.36</td>\n",
       "      <td>0.29</td>\n",
       "      <td>1.35</td>\n",
       "      <td>2.450000</td>\n",
       "      <td>1.040</td>\n",
       "      <td>2.77</td>\n",
       "      <td>562.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>12.34</td>\n",
       "      <td>2.45</td>\n",
       "      <td>2.46</td>\n",
       "      <td>21.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>2.56</td>\n",
       "      <td>2.11</td>\n",
       "      <td>0.34</td>\n",
       "      <td>1.31</td>\n",
       "      <td>2.800000</td>\n",
       "      <td>0.800</td>\n",
       "      <td>3.38</td>\n",
       "      <td>438.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>11.82</td>\n",
       "      <td>1.72</td>\n",
       "      <td>1.88</td>\n",
       "      <td>19.5</td>\n",
       "      <td>86.0</td>\n",
       "      <td>2.50</td>\n",
       "      <td>1.64</td>\n",
       "      <td>0.37</td>\n",
       "      <td>1.42</td>\n",
       "      <td>2.060000</td>\n",
       "      <td>0.940</td>\n",
       "      <td>2.44</td>\n",
       "      <td>415.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>12.51</td>\n",
       "      <td>1.73</td>\n",
       "      <td>1.98</td>\n",
       "      <td>20.5</td>\n",
       "      <td>85.0</td>\n",
       "      <td>2.20</td>\n",
       "      <td>1.92</td>\n",
       "      <td>0.32</td>\n",
       "      <td>1.48</td>\n",
       "      <td>2.940000</td>\n",
       "      <td>1.040</td>\n",
       "      <td>3.57</td>\n",
       "      <td>672.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>12.42</td>\n",
       "      <td>2.55</td>\n",
       "      <td>2.27</td>\n",
       "      <td>22.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>1.68</td>\n",
       "      <td>1.84</td>\n",
       "      <td>0.66</td>\n",
       "      <td>1.42</td>\n",
       "      <td>2.700000</td>\n",
       "      <td>0.860</td>\n",
       "      <td>3.30</td>\n",
       "      <td>315.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>12.25</td>\n",
       "      <td>1.73</td>\n",
       "      <td>2.12</td>\n",
       "      <td>19.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>1.65</td>\n",
       "      <td>2.03</td>\n",
       "      <td>0.37</td>\n",
       "      <td>1.63</td>\n",
       "      <td>3.400000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>3.17</td>\n",
       "      <td>510.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>12.72</td>\n",
       "      <td>1.75</td>\n",
       "      <td>2.28</td>\n",
       "      <td>22.5</td>\n",
       "      <td>84.0</td>\n",
       "      <td>1.38</td>\n",
       "      <td>1.76</td>\n",
       "      <td>0.48</td>\n",
       "      <td>1.63</td>\n",
       "      <td>3.300000</td>\n",
       "      <td>0.880</td>\n",
       "      <td>2.42</td>\n",
       "      <td>488.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>12.22</td>\n",
       "      <td>1.29</td>\n",
       "      <td>1.94</td>\n",
       "      <td>19.0</td>\n",
       "      <td>92.0</td>\n",
       "      <td>2.36</td>\n",
       "      <td>2.04</td>\n",
       "      <td>0.39</td>\n",
       "      <td>2.08</td>\n",
       "      <td>2.700000</td>\n",
       "      <td>0.860</td>\n",
       "      <td>3.02</td>\n",
       "      <td>312.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>11.61</td>\n",
       "      <td>1.35</td>\n",
       "      <td>2.70</td>\n",
       "      <td>20.0</td>\n",
       "      <td>94.0</td>\n",
       "      <td>2.74</td>\n",
       "      <td>2.92</td>\n",
       "      <td>0.29</td>\n",
       "      <td>2.49</td>\n",
       "      <td>2.650000</td>\n",
       "      <td>0.960</td>\n",
       "      <td>3.26</td>\n",
       "      <td>680.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>11.46</td>\n",
       "      <td>3.74</td>\n",
       "      <td>1.82</td>\n",
       "      <td>19.5</td>\n",
       "      <td>107.0</td>\n",
       "      <td>3.18</td>\n",
       "      <td>2.58</td>\n",
       "      <td>0.24</td>\n",
       "      <td>3.58</td>\n",
       "      <td>2.900000</td>\n",
       "      <td>0.750</td>\n",
       "      <td>2.81</td>\n",
       "      <td>562.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>12.52</td>\n",
       "      <td>2.43</td>\n",
       "      <td>2.17</td>\n",
       "      <td>21.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>2.55</td>\n",
       "      <td>2.27</td>\n",
       "      <td>0.26</td>\n",
       "      <td>1.22</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.900</td>\n",
       "      <td>2.78</td>\n",
       "      <td>325.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>11.76</td>\n",
       "      <td>2.68</td>\n",
       "      <td>2.92</td>\n",
       "      <td>20.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>1.75</td>\n",
       "      <td>2.03</td>\n",
       "      <td>0.60</td>\n",
       "      <td>1.05</td>\n",
       "      <td>3.800000</td>\n",
       "      <td>1.230</td>\n",
       "      <td>2.50</td>\n",
       "      <td>607.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>11.41</td>\n",
       "      <td>0.74</td>\n",
       "      <td>2.50</td>\n",
       "      <td>21.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>2.48</td>\n",
       "      <td>2.01</td>\n",
       "      <td>0.42</td>\n",
       "      <td>1.44</td>\n",
       "      <td>3.080000</td>\n",
       "      <td>1.100</td>\n",
       "      <td>2.31</td>\n",
       "      <td>434.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>12.08</td>\n",
       "      <td>1.39</td>\n",
       "      <td>2.50</td>\n",
       "      <td>22.5</td>\n",
       "      <td>84.0</td>\n",
       "      <td>2.56</td>\n",
       "      <td>2.29</td>\n",
       "      <td>0.43</td>\n",
       "      <td>1.04</td>\n",
       "      <td>2.900000</td>\n",
       "      <td>0.930</td>\n",
       "      <td>3.19</td>\n",
       "      <td>385.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>11.03</td>\n",
       "      <td>1.51</td>\n",
       "      <td>2.20</td>\n",
       "      <td>21.5</td>\n",
       "      <td>85.0</td>\n",
       "      <td>2.46</td>\n",
       "      <td>2.17</td>\n",
       "      <td>0.52</td>\n",
       "      <td>2.01</td>\n",
       "      <td>1.900000</td>\n",
       "      <td>1.710</td>\n",
       "      <td>2.87</td>\n",
       "      <td>407.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>11.82</td>\n",
       "      <td>1.47</td>\n",
       "      <td>1.99</td>\n",
       "      <td>20.8</td>\n",
       "      <td>86.0</td>\n",
       "      <td>1.98</td>\n",
       "      <td>1.60</td>\n",
       "      <td>0.30</td>\n",
       "      <td>1.53</td>\n",
       "      <td>1.950000</td>\n",
       "      <td>0.950</td>\n",
       "      <td>3.33</td>\n",
       "      <td>495.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>12.42</td>\n",
       "      <td>1.61</td>\n",
       "      <td>2.19</td>\n",
       "      <td>22.5</td>\n",
       "      <td>108.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.09</td>\n",
       "      <td>0.34</td>\n",
       "      <td>1.61</td>\n",
       "      <td>2.060000</td>\n",
       "      <td>1.060</td>\n",
       "      <td>2.96</td>\n",
       "      <td>345.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>12.77</td>\n",
       "      <td>3.43</td>\n",
       "      <td>1.98</td>\n",
       "      <td>16.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>1.63</td>\n",
       "      <td>1.25</td>\n",
       "      <td>0.43</td>\n",
       "      <td>0.83</td>\n",
       "      <td>3.400000</td>\n",
       "      <td>0.700</td>\n",
       "      <td>2.12</td>\n",
       "      <td>372.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>12.00</td>\n",
       "      <td>3.43</td>\n",
       "      <td>2.00</td>\n",
       "      <td>19.0</td>\n",
       "      <td>87.0</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>0.930</td>\n",
       "      <td>3.05</td>\n",
       "      <td>564.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>11.45</td>\n",
       "      <td>2.40</td>\n",
       "      <td>2.42</td>\n",
       "      <td>20.0</td>\n",
       "      <td>96.0</td>\n",
       "      <td>2.90</td>\n",
       "      <td>2.79</td>\n",
       "      <td>0.32</td>\n",
       "      <td>1.83</td>\n",
       "      <td>3.250000</td>\n",
       "      <td>0.800</td>\n",
       "      <td>3.39</td>\n",
       "      <td>625.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>11.56</td>\n",
       "      <td>2.05</td>\n",
       "      <td>3.23</td>\n",
       "      <td>28.5</td>\n",
       "      <td>119.0</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>0.930</td>\n",
       "      <td>3.69</td>\n",
       "      <td>465.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>12.42</td>\n",
       "      <td>4.43</td>\n",
       "      <td>2.73</td>\n",
       "      <td>26.5</td>\n",
       "      <td>102.0</td>\n",
       "      <td>2.20</td>\n",
       "      <td>2.13</td>\n",
       "      <td>0.43</td>\n",
       "      <td>1.71</td>\n",
       "      <td>2.080000</td>\n",
       "      <td>0.920</td>\n",
       "      <td>3.12</td>\n",
       "      <td>365.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>13.05</td>\n",
       "      <td>5.80</td>\n",
       "      <td>2.13</td>\n",
       "      <td>21.5</td>\n",
       "      <td>86.0</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>0.730</td>\n",
       "      <td>3.10</td>\n",
       "      <td>380.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>11.87</td>\n",
       "      <td>4.31</td>\n",
       "      <td>2.39</td>\n",
       "      <td>21.0</td>\n",
       "      <td>82.0</td>\n",
       "      <td>2.86</td>\n",
       "      <td>3.03</td>\n",
       "      <td>0.21</td>\n",
       "      <td>2.91</td>\n",
       "      <td>2.800000</td>\n",
       "      <td>0.750</td>\n",
       "      <td>3.64</td>\n",
       "      <td>380.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>12.07</td>\n",
       "      <td>2.16</td>\n",
       "      <td>2.17</td>\n",
       "      <td>21.0</td>\n",
       "      <td>85.0</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>0.860</td>\n",
       "      <td>3.28</td>\n",
       "      <td>378.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>12.43</td>\n",
       "      <td>1.53</td>\n",
       "      <td>2.29</td>\n",
       "      <td>21.5</td>\n",
       "      <td>86.0</td>\n",
       "      <td>2.74</td>\n",
       "      <td>3.15</td>\n",
       "      <td>0.39</td>\n",
       "      <td>1.77</td>\n",
       "      <td>3.940000</td>\n",
       "      <td>0.690</td>\n",
       "      <td>2.84</td>\n",
       "      <td>352.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>11.79</td>\n",
       "      <td>2.13</td>\n",
       "      <td>2.78</td>\n",
       "      <td>28.5</td>\n",
       "      <td>92.0</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>0.970</td>\n",
       "      <td>2.44</td>\n",
       "      <td>466.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>12.37</td>\n",
       "      <td>1.63</td>\n",
       "      <td>2.30</td>\n",
       "      <td>24.5</td>\n",
       "      <td>88.0</td>\n",
       "      <td>2.22</td>\n",
       "      <td>2.45</td>\n",
       "      <td>0.40</td>\n",
       "      <td>1.90</td>\n",
       "      <td>2.120000</td>\n",
       "      <td>0.890</td>\n",
       "      <td>2.78</td>\n",
       "      <td>342.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>12.04</td>\n",
       "      <td>4.30</td>\n",
       "      <td>2.38</td>\n",
       "      <td>22.0</td>\n",
       "      <td>80.0</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>0.790</td>\n",
       "      <td>2.57</td>\n",
       "      <td>580.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>12.86</td>\n",
       "      <td>1.35</td>\n",
       "      <td>2.32</td>\n",
       "      <td>18.0</td>\n",
       "      <td>122.0</td>\n",
       "      <td>1.51</td>\n",
       "      <td>1.25</td>\n",
       "      <td>0.21</td>\n",
       "      <td>0.94</td>\n",
       "      <td>4.100000</td>\n",
       "      <td>0.760</td>\n",
       "      <td>1.29</td>\n",
       "      <td>630.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>12.88</td>\n",
       "      <td>2.99</td>\n",
       "      <td>2.40</td>\n",
       "      <td>20.0</td>\n",
       "      <td>104.0</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>0.740</td>\n",
       "      <td>1.42</td>\n",
       "      <td>530.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>12.81</td>\n",
       "      <td>2.31</td>\n",
       "      <td>2.40</td>\n",
       "      <td>24.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>1.15</td>\n",
       "      <td>1.09</td>\n",
       "      <td>0.27</td>\n",
       "      <td>0.83</td>\n",
       "      <td>5.700000</td>\n",
       "      <td>0.660</td>\n",
       "      <td>1.36</td>\n",
       "      <td>560.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>12.70</td>\n",
       "      <td>3.55</td>\n",
       "      <td>2.36</td>\n",
       "      <td>21.5</td>\n",
       "      <td>106.0</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>0.780</td>\n",
       "      <td>1.29</td>\n",
       "      <td>600.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>12.51</td>\n",
       "      <td>1.24</td>\n",
       "      <td>2.25</td>\n",
       "      <td>17.5</td>\n",
       "      <td>85.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>0.58</td>\n",
       "      <td>0.60</td>\n",
       "      <td>1.25</td>\n",
       "      <td>5.450000</td>\n",
       "      <td>0.750</td>\n",
       "      <td>1.51</td>\n",
       "      <td>650.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>12.60</td>\n",
       "      <td>2.46</td>\n",
       "      <td>2.20</td>\n",
       "      <td>18.5</td>\n",
       "      <td>94.0</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>0.730</td>\n",
       "      <td>1.58</td>\n",
       "      <td>695.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>12.25</td>\n",
       "      <td>4.72</td>\n",
       "      <td>2.54</td>\n",
       "      <td>21.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>1.38</td>\n",
       "      <td>0.47</td>\n",
       "      <td>0.53</td>\n",
       "      <td>0.80</td>\n",
       "      <td>3.850000</td>\n",
       "      <td>0.750</td>\n",
       "      <td>1.27</td>\n",
       "      <td>720.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>12.53</td>\n",
       "      <td>5.51</td>\n",
       "      <td>2.64</td>\n",
       "      <td>25.0</td>\n",
       "      <td>96.0</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>0.820</td>\n",
       "      <td>1.69</td>\n",
       "      <td>515.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>13.49</td>\n",
       "      <td>3.59</td>\n",
       "      <td>2.19</td>\n",
       "      <td>19.5</td>\n",
       "      <td>88.0</td>\n",
       "      <td>1.62</td>\n",
       "      <td>0.48</td>\n",
       "      <td>0.58</td>\n",
       "      <td>0.88</td>\n",
       "      <td>5.700000</td>\n",
       "      <td>0.810</td>\n",
       "      <td>1.82</td>\n",
       "      <td>580.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>12.84</td>\n",
       "      <td>2.96</td>\n",
       "      <td>2.61</td>\n",
       "      <td>24.0</td>\n",
       "      <td>101.0</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>0.890</td>\n",
       "      <td>2.15</td>\n",
       "      <td>590.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>12.93</td>\n",
       "      <td>2.81</td>\n",
       "      <td>2.70</td>\n",
       "      <td>21.0</td>\n",
       "      <td>96.0</td>\n",
       "      <td>1.54</td>\n",
       "      <td>0.50</td>\n",
       "      <td>0.53</td>\n",
       "      <td>0.75</td>\n",
       "      <td>4.600000</td>\n",
       "      <td>0.770</td>\n",
       "      <td>2.31</td>\n",
       "      <td>600.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>13.36</td>\n",
       "      <td>2.56</td>\n",
       "      <td>2.35</td>\n",
       "      <td>20.0</td>\n",
       "      <td>89.0</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>0.700</td>\n",
       "      <td>2.47</td>\n",
       "      <td>780.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>13.52</td>\n",
       "      <td>3.17</td>\n",
       "      <td>2.72</td>\n",
       "      <td>23.5</td>\n",
       "      <td>97.0</td>\n",
       "      <td>1.55</td>\n",
       "      <td>0.52</td>\n",
       "      <td>0.50</td>\n",
       "      <td>0.55</td>\n",
       "      <td>4.350000</td>\n",
       "      <td>0.890</td>\n",
       "      <td>2.06</td>\n",
       "      <td>520.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>13.62</td>\n",
       "      <td>4.95</td>\n",
       "      <td>2.35</td>\n",
       "      <td>20.0</td>\n",
       "      <td>92.0</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>0.910</td>\n",
       "      <td>2.05</td>\n",
       "      <td>550.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>12.25</td>\n",
       "      <td>3.88</td>\n",
       "      <td>2.20</td>\n",
       "      <td>18.5</td>\n",
       "      <td>112.0</td>\n",
       "      <td>1.38</td>\n",
       "      <td>0.78</td>\n",
       "      <td>0.29</td>\n",
       "      <td>1.14</td>\n",
       "      <td>8.210000</td>\n",
       "      <td>0.650</td>\n",
       "      <td>2.00</td>\n",
       "      <td>855.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>13.16</td>\n",
       "      <td>3.57</td>\n",
       "      <td>2.15</td>\n",
       "      <td>21.0</td>\n",
       "      <td>102.0</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>0.600</td>\n",
       "      <td>1.68</td>\n",
       "      <td>830.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>13.88</td>\n",
       "      <td>5.04</td>\n",
       "      <td>2.23</td>\n",
       "      <td>20.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>0.98</td>\n",
       "      <td>0.34</td>\n",
       "      <td>0.40</td>\n",
       "      <td>0.68</td>\n",
       "      <td>4.900000</td>\n",
       "      <td>0.580</td>\n",
       "      <td>1.33</td>\n",
       "      <td>415.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>12.87</td>\n",
       "      <td>4.61</td>\n",
       "      <td>2.48</td>\n",
       "      <td>21.5</td>\n",
       "      <td>86.0</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>0.540</td>\n",
       "      <td>1.86</td>\n",
       "      <td>625.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\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>0.550</td>\n",
       "      <td>1.62</td>\n",
       "      <td>650.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\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>0.570</td>\n",
       "      <td>1.33</td>\n",
       "      <td>550.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\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>0.590</td>\n",
       "      <td>1.30</td>\n",
       "      <td>500.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\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>0.480</td>\n",
       "      <td>1.47</td>\n",
       "      <td>480.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\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>0.610</td>\n",
       "      <td>1.33</td>\n",
       "      <td>425.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\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>0.560</td>\n",
       "      <td>1.51</td>\n",
       "      <td>675.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\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>0.580</td>\n",
       "      <td>1.55</td>\n",
       "      <td>640.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\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>0.600</td>\n",
       "      <td>1.48</td>\n",
       "      <td>725.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\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>0.570</td>\n",
       "      <td>1.64</td>\n",
       "      <td>480.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\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>0.670</td>\n",
       "      <td>1.73</td>\n",
       "      <td>880.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\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>0.570</td>\n",
       "      <td>1.96</td>\n",
       "      <td>660.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\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>0.570</td>\n",
       "      <td>1.78</td>\n",
       "      <td>620.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\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>0.560</td>\n",
       "      <td>1.58</td>\n",
       "      <td>520.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\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>0.960</td>\n",
       "      <td>1.82</td>\n",
       "      <td>680.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\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>0.870</td>\n",
       "      <td>2.11</td>\n",
       "      <td>570.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\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>0.680</td>\n",
       "      <td>1.75</td>\n",
       "      <td>675.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\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>0.700</td>\n",
       "      <td>1.68</td>\n",
       "      <td>615.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165</th>\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>0.780</td>\n",
       "      <td>1.75</td>\n",
       "      <td>520.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\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>0.850</td>\n",
       "      <td>1.56</td>\n",
       "      <td>695.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\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>0.720</td>\n",
       "      <td>1.75</td>\n",
       "      <td>685.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\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>0.740</td>\n",
       "      <td>1.80</td>\n",
       "      <td>750.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\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>0.670</td>\n",
       "      <td>1.92</td>\n",
       "      <td>630.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\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>0.660</td>\n",
       "      <td>1.83</td>\n",
       "      <td>510.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\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>0.570</td>\n",
       "      <td>1.63</td>\n",
       "      <td>470.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\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>0.620</td>\n",
       "      <td>1.71</td>\n",
       "      <td>660.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\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>0.640</td>\n",
       "      <td>1.74</td>\n",
       "      <td>740.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\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>0.700</td>\n",
       "      <td>1.56</td>\n",
       "      <td>750.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175</th>\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>0.590</td>\n",
       "      <td>1.56</td>\n",
       "      <td>835.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\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>0.600</td>\n",
       "      <td>1.62</td>\n",
       "      <td>840.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\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>0.610</td>\n",
       "      <td>1.60</td>\n",
       "      <td>560.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     alcohol  malic_acid   ash  alcalinity_of_ash  magnesium  total_phenols  \\\n",
       "0      14.23        1.71  2.43               15.6      127.0           2.80   \n",
       "1      13.20        1.78  2.14               11.2      100.0           2.65   \n",
       "2      13.16        2.36  2.67               18.6      101.0           2.80   \n",
       "3      14.37        1.95  2.50               16.8      113.0           3.85   \n",
       "4      13.24        2.59  2.87               21.0      118.0           2.80   \n",
       "5      14.20        1.76  2.45               15.2      112.0           3.27   \n",
       "6      14.39        1.87  2.45               14.6       96.0           2.50   \n",
       "7      14.06        2.15  2.61               17.6      121.0           2.60   \n",
       "8      14.83        1.64  2.17               14.0       97.0           2.80   \n",
       "9      13.86        1.35  2.27               16.0       98.0           2.98   \n",
       "10     14.10        2.16  2.30               18.0      105.0           2.95   \n",
       "11     14.12        1.48  2.32               16.8       95.0           2.20   \n",
       "12     13.75        1.73  2.41               16.0       89.0           2.60   \n",
       "13     14.75        1.73  2.39               11.4       91.0           3.10   \n",
       "14     14.38        1.87  2.38               12.0      102.0           3.30   \n",
       "15     13.63        1.81  2.70               17.2      112.0           2.85   \n",
       "16     14.30        1.92  2.72               20.0      120.0           2.80   \n",
       "17     13.83        1.57  2.62               20.0      115.0           2.95   \n",
       "18     14.19        1.59  2.48               16.5      108.0           3.30   \n",
       "19     13.64        3.10  2.56               15.2      116.0           2.70   \n",
       "20     14.06        1.63  2.28               16.0      126.0           3.00   \n",
       "21     12.93        3.80  2.65               18.6      102.0           2.41   \n",
       "22     13.71        1.86  2.36               16.6      101.0           2.61   \n",
       "23     12.85        1.60  2.52               17.8       95.0           2.48   \n",
       "24     13.50        1.81  2.61               20.0       96.0           2.53   \n",
       "25     13.05        2.05  3.22               25.0      124.0           2.63   \n",
       "26     13.39        1.77  2.62               16.1       93.0           2.85   \n",
       "27     13.30        1.72  2.14               17.0       94.0           2.40   \n",
       "28     13.87        1.90  2.80               19.4      107.0           2.95   \n",
       "29     14.02        1.68  2.21               16.0       96.0           2.65   \n",
       "30     13.73        1.50  2.70               22.5      101.0           3.00   \n",
       "31     13.58        1.66  2.36               19.1      106.0           2.86   \n",
       "32     13.68        1.83  2.36               17.2      104.0           2.42   \n",
       "33     13.76        1.53  2.70               19.5      132.0           2.95   \n",
       "34     13.51        1.80  2.65               19.0      110.0           2.35   \n",
       "35     13.48        1.81  2.41               20.5      100.0           2.70   \n",
       "36     13.28        1.64  2.84               15.5      110.0           2.60   \n",
       "37     13.05        1.65  2.55               18.0       98.0           2.45   \n",
       "38     13.07        1.50  2.10               15.5       98.0           2.40   \n",
       "39     14.22        3.99  2.51               13.2      128.0           3.00   \n",
       "40     13.56        1.71  2.31               16.2      117.0           3.15   \n",
       "41     13.41        3.84  2.12               18.8       90.0           2.45   \n",
       "42     13.88        1.89  2.59               15.0      101.0           3.25   \n",
       "43     13.24        3.98  2.29               17.5      103.0           2.64   \n",
       "44     13.05        1.77  2.10               17.0      107.0           3.00   \n",
       "45     14.21        4.04  2.44               18.9      111.0           2.85   \n",
       "46     14.38        3.59  2.28               16.0      102.0           3.25   \n",
       "47     13.90        1.68  2.12               16.0      101.0           3.10   \n",
       "48     14.10        2.02  2.40               18.8      103.0           2.75   \n",
       "49     13.94        1.73  2.27               17.4      108.0           2.88   \n",
       "50     13.05        1.73  2.04               12.4       92.0           2.72   \n",
       "51     13.83        1.65  2.60               17.2       94.0           2.45   \n",
       "52     13.82        1.75  2.42               14.0      111.0           3.88   \n",
       "53     13.77        1.90  2.68               17.1      115.0           3.00   \n",
       "54     13.74        1.67  2.25               16.4      118.0           2.60   \n",
       "55     13.56        1.73  2.46               20.5      116.0           2.96   \n",
       "56     14.22        1.70  2.30               16.3      118.0           3.20   \n",
       "57     13.29        1.97  2.68               16.8      102.0           3.00   \n",
       "58     13.72        1.43  2.50               16.7      108.0           3.40   \n",
       "59     12.37        0.94  1.36               10.6       88.0           1.98   \n",
       "60     12.33        1.10  2.28               16.0      101.0           2.05   \n",
       "61     12.64        1.36  2.02               16.8      100.0           2.02   \n",
       "62     13.67        1.25  1.92               18.0       94.0           2.10   \n",
       "63     12.37        1.13  2.16               19.0       87.0           3.50   \n",
       "64     12.17        1.45  2.53               19.0      104.0           1.89   \n",
       "65     12.37        1.21  2.56               18.1       98.0           2.42   \n",
       "66     13.11        1.01  1.70               15.0       78.0           2.98   \n",
       "67     12.37        1.17  1.92               19.6       78.0           2.11   \n",
       "68     13.34        0.94  2.36               17.0      110.0           2.53   \n",
       "69     12.21        1.19  1.75               16.8      151.0           1.85   \n",
       "70     12.29        1.61  2.21               20.4      103.0           1.10   \n",
       "71     13.86        1.51  2.67               25.0       86.0           2.95   \n",
       "72     13.49        1.66  2.24               24.0       87.0           1.88   \n",
       "73     12.99        1.67  2.60               30.0      139.0           3.30   \n",
       "74     11.96        1.09  2.30               21.0      101.0           3.38   \n",
       "75     11.66        1.88  1.92               16.0       97.0           1.61   \n",
       "76     13.03        0.90  1.71               16.0       86.0           1.95   \n",
       "77     11.84        2.89  2.23               18.0      112.0           1.72   \n",
       "78     12.33        0.99  1.95               14.8      136.0           1.90   \n",
       "79     12.70        3.87  2.40               23.0      101.0           2.83   \n",
       "80     12.00        0.92  2.00               19.0       86.0           2.42   \n",
       "81     12.72        1.81  2.20               18.8       86.0           2.20   \n",
       "82     12.08        1.13  2.51               24.0       78.0           2.00   \n",
       "83     13.05        3.86  2.32               22.5       85.0           1.65   \n",
       "84     11.84        0.89  2.58               18.0       94.0           2.20   \n",
       "85     12.67        0.98  2.24               18.0       99.0           2.20   \n",
       "86     12.16        1.61  2.31               22.8       90.0           1.78   \n",
       "87     11.65        1.67  2.62               26.0       88.0           1.92   \n",
       "88     11.64        2.06  2.46               21.6       84.0           1.95   \n",
       "89     12.08        1.33  2.30               23.6       70.0           2.20   \n",
       "90     12.08        1.83  2.32               18.5       81.0           1.60   \n",
       "91     12.00        1.51  2.42               22.0       86.0           1.45   \n",
       "92     12.69        1.53  2.26               20.7       80.0           1.38   \n",
       "93     12.29        2.83  2.22               18.0       88.0           2.45   \n",
       "94     11.62        1.99  2.28               18.0       98.0           3.02   \n",
       "95     12.47        1.52  2.20               19.0      162.0           2.50   \n",
       "96     11.81        2.12  2.74               21.5      134.0           1.60   \n",
       "97     12.29        1.41  1.98               16.0       85.0           2.55   \n",
       "98     12.37        1.07  2.10               18.5       88.0           3.52   \n",
       "99     12.29        3.17  2.21               18.0       88.0           2.85   \n",
       "100    12.08        2.08  1.70               17.5       97.0           2.23   \n",
       "101    12.60        1.34  1.90               18.5       88.0           1.45   \n",
       "102    12.34        2.45  2.46               21.0       98.0           2.56   \n",
       "103    11.82        1.72  1.88               19.5       86.0           2.50   \n",
       "104    12.51        1.73  1.98               20.5       85.0           2.20   \n",
       "105    12.42        2.55  2.27               22.0       90.0           1.68   \n",
       "106    12.25        1.73  2.12               19.0       80.0           1.65   \n",
       "107    12.72        1.75  2.28               22.5       84.0           1.38   \n",
       "108    12.22        1.29  1.94               19.0       92.0           2.36   \n",
       "109    11.61        1.35  2.70               20.0       94.0           2.74   \n",
       "110    11.46        3.74  1.82               19.5      107.0           3.18   \n",
       "111    12.52        2.43  2.17               21.0       88.0           2.55   \n",
       "112    11.76        2.68  2.92               20.0      103.0           1.75   \n",
       "113    11.41        0.74  2.50               21.0       88.0           2.48   \n",
       "114    12.08        1.39  2.50               22.5       84.0           2.56   \n",
       "115    11.03        1.51  2.20               21.5       85.0           2.46   \n",
       "116    11.82        1.47  1.99               20.8       86.0           1.98   \n",
       "117    12.42        1.61  2.19               22.5      108.0           2.00   \n",
       "118    12.77        3.43  1.98               16.0       80.0           1.63   \n",
       "119    12.00        3.43  2.00               19.0       87.0           2.00   \n",
       "120    11.45        2.40  2.42               20.0       96.0           2.90   \n",
       "121    11.56        2.05  3.23               28.5      119.0           3.18   \n",
       "122    12.42        4.43  2.73               26.5      102.0           2.20   \n",
       "123    13.05        5.80  2.13               21.5       86.0           2.62   \n",
       "124    11.87        4.31  2.39               21.0       82.0           2.86   \n",
       "125    12.07        2.16  2.17               21.0       85.0           2.60   \n",
       "126    12.43        1.53  2.29               21.5       86.0           2.74   \n",
       "127    11.79        2.13  2.78               28.5       92.0           2.13   \n",
       "128    12.37        1.63  2.30               24.5       88.0           2.22   \n",
       "129    12.04        4.30  2.38               22.0       80.0           2.10   \n",
       "130    12.86        1.35  2.32               18.0      122.0           1.51   \n",
       "131    12.88        2.99  2.40               20.0      104.0           1.30   \n",
       "132    12.81        2.31  2.40               24.0       98.0           1.15   \n",
       "133    12.70        3.55  2.36               21.5      106.0           1.70   \n",
       "134    12.51        1.24  2.25               17.5       85.0           2.00   \n",
       "135    12.60        2.46  2.20               18.5       94.0           1.62   \n",
       "136    12.25        4.72  2.54               21.0       89.0           1.38   \n",
       "137    12.53        5.51  2.64               25.0       96.0           1.79   \n",
       "138    13.49        3.59  2.19               19.5       88.0           1.62   \n",
       "139    12.84        2.96  2.61               24.0      101.0           2.32   \n",
       "140    12.93        2.81  2.70               21.0       96.0           1.54   \n",
       "141    13.36        2.56  2.35               20.0       89.0           1.40   \n",
       "142    13.52        3.17  2.72               23.5       97.0           1.55   \n",
       "143    13.62        4.95  2.35               20.0       92.0           2.00   \n",
       "144    12.25        3.88  2.20               18.5      112.0           1.38   \n",
       "145    13.16        3.57  2.15               21.0      102.0           1.50   \n",
       "146    13.88        5.04  2.23               20.0       80.0           0.98   \n",
       "147    12.87        4.61  2.48               21.5       86.0           1.70   \n",
       "148    13.32        3.24  2.38               21.5       92.0           1.93   \n",
       "149    13.08        3.90  2.36               21.5      113.0           1.41   \n",
       "150    13.50        3.12  2.62               24.0      123.0           1.40   \n",
       "151    12.79        2.67  2.48               22.0      112.0           1.48   \n",
       "152    13.11        1.90  2.75               25.5      116.0           2.20   \n",
       "153    13.23        3.30  2.28               18.5       98.0           1.80   \n",
       "154    12.58        1.29  2.10               20.0      103.0           1.48   \n",
       "155    13.17        5.19  2.32               22.0       93.0           1.74   \n",
       "156    13.84        4.12  2.38               19.5       89.0           1.80   \n",
       "157    12.45        3.03  2.64               27.0       97.0           1.90   \n",
       "158    14.34        1.68  2.70               25.0       98.0           2.80   \n",
       "159    13.48        1.67  2.64               22.5       89.0           2.60   \n",
       "160    12.36        3.83  2.38               21.0       88.0           2.30   \n",
       "161    13.69        3.26  2.54               20.0      107.0           1.83   \n",
       "162    12.85        3.27  2.58               22.0      106.0           1.65   \n",
       "163    12.96        3.45  2.35               18.5      106.0           1.39   \n",
       "164    13.78        2.76  2.30               22.0       90.0           1.35   \n",
       "165    13.73        4.36  2.26               22.5       88.0           1.28   \n",
       "166    13.45        3.70  2.60               23.0      111.0           1.70   \n",
       "167    12.82        3.37  2.30               19.5       88.0           1.48   \n",
       "168    13.58        2.58  2.69               24.5      105.0           1.55   \n",
       "169    13.40        4.60  2.86               25.0      112.0           1.98   \n",
       "170    12.20        3.03  2.32               19.0       96.0           1.25   \n",
       "171    12.77        2.39  2.28               19.5       86.0           1.39   \n",
       "172    14.16        2.51  2.48               20.0       91.0           1.68   \n",
       "173    13.71        5.65  2.45               20.5       95.0           1.68   \n",
       "174    13.40        3.91  2.48               23.0      102.0           1.80   \n",
       "175    13.27        4.28  2.26               20.0      120.0           1.59   \n",
       "176    13.17        2.59  2.37               20.0      120.0           1.65   \n",
       "177    14.13        4.10  2.74               24.5       96.0           2.05   \n",
       "\n",
       "     flavanoids  nonflavanoid_phenols  proanthocyanins  color_intensity  \\\n",
       "0          3.06                  0.28             2.29         5.640000   \n",
       "1          2.76                  0.26             1.28         4.380000   \n",
       "2          3.24                  0.30             2.81         5.680000   \n",
       "3          3.49                  0.24             2.18         7.800000   \n",
       "4          2.69                  0.39             1.82         4.320000   \n",
       "5          3.39                  0.34             1.97         6.750000   \n",
       "6          2.52                  0.30             1.98         5.250000   \n",
       "7          2.51                  0.31             1.25         5.050000   \n",
       "8          2.98                  0.29             1.98         5.200000   \n",
       "9          3.15                  0.22             1.85         7.220000   \n",
       "10         3.32                  0.22             2.38         5.750000   \n",
       "11         2.43                  0.26             1.57         5.000000   \n",
       "12         2.76                  0.29             1.81         5.600000   \n",
       "13         3.69                  0.43             2.81         5.400000   \n",
       "14         3.64                  0.29             2.96         7.500000   \n",
       "15         2.91                  0.30             1.46         7.300000   \n",
       "16         3.14                  0.33             1.97         6.200000   \n",
       "17         3.40                  0.40             1.72         6.600000   \n",
       "18         3.93                  0.32             1.86         8.700000   \n",
       "19         3.03                  0.17             1.66         5.100000   \n",
       "20         3.17                  0.24             2.10         5.650000   \n",
       "21         2.41                  0.25             1.98         4.500000   \n",
       "22         2.88                  0.27             1.69         3.800000   \n",
       "23         2.37                  0.26             1.46         3.930000   \n",
       "24         2.61                  0.28             1.66         3.520000   \n",
       "25         2.68                  0.47             1.92         3.580000   \n",
       "26         2.94                  0.34             1.45         4.800000   \n",
       "27         2.19                  0.27             1.35         3.950000   \n",
       "28         2.97                  0.37             1.76         4.500000   \n",
       "29         2.33                  0.26             1.98         4.700000   \n",
       "30         3.25                  0.29             2.38         5.700000   \n",
       "31         3.19                  0.22             1.95         6.900000   \n",
       "32         2.69                  0.42             1.97         3.840000   \n",
       "33         2.74                  0.50             1.35         5.400000   \n",
       "34         2.53                  0.29             1.54         4.200000   \n",
       "35         2.98                  0.26             1.86         5.100000   \n",
       "36         2.68                  0.34             1.36         4.600000   \n",
       "37         2.43                  0.29             1.44         4.250000   \n",
       "38         2.64                  0.28             1.37         3.700000   \n",
       "39         3.04                  0.20             2.08         5.100000   \n",
       "40         3.29                  0.34             2.34         6.130000   \n",
       "41         2.68                  0.27             1.48         4.280000   \n",
       "42         3.56                  0.17             1.70         5.430000   \n",
       "43         2.63                  0.32             1.66         4.360000   \n",
       "44         3.00                  0.28             2.03         5.040000   \n",
       "45         2.65                  0.30             1.25         5.240000   \n",
       "46         3.17                  0.27             2.19         4.900000   \n",
       "47         3.39                  0.21             2.14         6.100000   \n",
       "48         2.92                  0.32             2.38         6.200000   \n",
       "49         3.54                  0.32             2.08         8.900000   \n",
       "50         3.27                  0.17             2.91         7.200000   \n",
       "51         2.99                  0.22             2.29         5.600000   \n",
       "52         3.74                  0.32             1.87         7.050000   \n",
       "53         2.79                  0.39             1.68         6.300000   \n",
       "54         2.90                  0.21             1.62         5.850000   \n",
       "55         2.78                  0.20             2.45         6.250000   \n",
       "56         3.00                  0.26             2.03         6.380000   \n",
       "57         3.23                  0.31             1.66         6.000000   \n",
       "58         3.67                  0.19             2.04         6.800000   \n",
       "59         0.57                  0.28             0.42         1.950000   \n",
       "60         1.09                  0.63             0.41         3.270000   \n",
       "61         1.41                  0.53             0.62         5.750000   \n",
       "62         1.79                  0.32             0.73         3.800000   \n",
       "63         3.10                  0.19             1.87         4.450000   \n",
       "64         1.75                  0.45             1.03         2.950000   \n",
       "65         2.65                  0.37             2.08         4.600000   \n",
       "66         3.18                  0.26             2.28         5.300000   \n",
       "67         2.00                  0.27             1.04         4.680000   \n",
       "68         1.30                  0.55             0.42         3.170000   \n",
       "69         1.28                  0.14             2.50         2.850000   \n",
       "70         1.02                  0.37             1.46         3.050000   \n",
       "71         2.86                  0.21             1.87         3.380000   \n",
       "72         1.84                  0.27             1.03         3.740000   \n",
       "73         2.89                  0.21             1.96         3.350000   \n",
       "74         2.14                  0.13             1.65         3.210000   \n",
       "75         1.57                  0.34             1.15         3.800000   \n",
       "76         2.03                  0.24             1.46         4.600000   \n",
       "77         1.32                  0.43             0.95         2.650000   \n",
       "78         1.85                  0.35             2.76         3.400000   \n",
       "79         2.55                  0.43             1.95         2.570000   \n",
       "80         2.26                  0.30             1.43         2.500000   \n",
       "81         2.53                  0.26             1.77         3.900000   \n",
       "82         1.58                  0.40             1.40         2.200000   \n",
       "83         1.59                  0.61             1.62         4.800000   \n",
       "84         2.21                  0.22             2.35         3.050000   \n",
       "85         1.94                  0.30             1.46         2.620000   \n",
       "86         1.69                  0.43             1.56         2.450000   \n",
       "87         1.61                  0.40             1.34         2.600000   \n",
       "88         1.69                  0.48             1.35         2.800000   \n",
       "89         1.59                  0.42             1.38         1.740000   \n",
       "90         1.50                  0.52             1.64         2.400000   \n",
       "91         1.25                  0.50             1.63         3.600000   \n",
       "92         1.46                  0.58             1.62         3.050000   \n",
       "93         2.25                  0.25             1.99         2.150000   \n",
       "94         2.26                  0.17             1.35         3.250000   \n",
       "95         2.27                  0.32             3.28         2.600000   \n",
       "96         0.99                  0.14             1.56         2.500000   \n",
       "97         2.50                  0.29             1.77         2.900000   \n",
       "98         3.75                  0.24             1.95         4.500000   \n",
       "99         2.99                  0.45             2.81         2.300000   \n",
       "100        2.17                  0.26             1.40         3.300000   \n",
       "101        1.36                  0.29             1.35         2.450000   \n",
       "102        2.11                  0.34             1.31         2.800000   \n",
       "103        1.64                  0.37             1.42         2.060000   \n",
       "104        1.92                  0.32             1.48         2.940000   \n",
       "105        1.84                  0.66             1.42         2.700000   \n",
       "106        2.03                  0.37             1.63         3.400000   \n",
       "107        1.76                  0.48             1.63         3.300000   \n",
       "108        2.04                  0.39             2.08         2.700000   \n",
       "109        2.92                  0.29             2.49         2.650000   \n",
       "110        2.58                  0.24             3.58         2.900000   \n",
       "111        2.27                  0.26             1.22         2.000000   \n",
       "112        2.03                  0.60             1.05         3.800000   \n",
       "113        2.01                  0.42             1.44         3.080000   \n",
       "114        2.29                  0.43             1.04         2.900000   \n",
       "115        2.17                  0.52             2.01         1.900000   \n",
       "116        1.60                  0.30             1.53         1.950000   \n",
       "117        2.09                  0.34             1.61         2.060000   \n",
       "118        1.25                  0.43             0.83         3.400000   \n",
       "119        1.64                  0.37             1.87         1.280000   \n",
       "120        2.79                  0.32             1.83         3.250000   \n",
       "121        5.08                  0.47             1.87         6.000000   \n",
       "122        2.13                  0.43             1.71         2.080000   \n",
       "123        2.65                  0.30             2.01         2.600000   \n",
       "124        3.03                  0.21             2.91         2.800000   \n",
       "125        2.65                  0.37             1.35         2.760000   \n",
       "126        3.15                  0.39             1.77         3.940000   \n",
       "127        2.24                  0.58             1.76         3.000000   \n",
       "128        2.45                  0.40             1.90         2.120000   \n",
       "129        1.75                  0.42             1.35         2.600000   \n",
       "130        1.25                  0.21             0.94         4.100000   \n",
       "131        1.22                  0.24             0.83         5.400000   \n",
       "132        1.09                  0.27             0.83         5.700000   \n",
       "133        1.20                  0.17             0.84         5.000000   \n",
       "134        0.58                  0.60             1.25         5.450000   \n",
       "135        0.66                  0.63             0.94         7.100000   \n",
       "136        0.47                  0.53             0.80         3.850000   \n",
       "137        0.60                  0.63             1.10         5.000000   \n",
       "138        0.48                  0.58             0.88         5.700000   \n",
       "139        0.60                  0.53             0.81         4.920000   \n",
       "140        0.50                  0.53             0.75         4.600000   \n",
       "141        0.50                  0.37             0.64         5.600000   \n",
       "142        0.52                  0.50             0.55         4.350000   \n",
       "143        0.80                  0.47             1.02         4.400000   \n",
       "144        0.78                  0.29             1.14         8.210000   \n",
       "145        0.55                  0.43             1.30         4.000000   \n",
       "146        0.34                  0.40             0.68         4.900000   \n",
       "147        0.65                  0.47             0.86         7.650000   \n",
       "148        0.76                  0.45             1.25         8.420000   \n",
       "149        1.39                  0.34             1.14         9.400000   \n",
       "150        1.57                  0.22             1.25         8.600000   \n",
       "151        1.36                  0.24             1.26        10.800000   \n",
       "152        1.28                  0.26             1.56         7.100000   \n",
       "153        0.83                  0.61             1.87        10.520000   \n",
       "154        0.58                  0.53             1.40         7.600000   \n",
       "155        0.63                  0.61             1.55         7.900000   \n",
       "156        0.83                  0.48             1.56         9.010000   \n",
       "157        0.58                  0.63             1.14         7.500000   \n",
       "158        1.31                  0.53             2.70        13.000000   \n",
       "159        1.10                  0.52             2.29        11.750000   \n",
       "160        0.92                  0.50             1.04         7.650000   \n",
       "161        0.56                  0.50             0.80         5.880000   \n",
       "162        0.60                  0.60             0.96         5.580000   \n",
       "163        0.70                  0.40             0.94         5.280000   \n",
       "164        0.68                  0.41             1.03         9.580000   \n",
       "165        0.47                  0.52             1.15         6.620000   \n",
       "166        0.92                  0.43             1.46        10.680000   \n",
       "167        0.66                  0.40             0.97        10.260000   \n",
       "168        0.84                  0.39             1.54         8.660000   \n",
       "169        0.96                  0.27             1.11         8.500000   \n",
       "170        0.49                  0.40             0.73         5.500000   \n",
       "171        0.51                  0.48             0.64         9.899999   \n",
       "172        0.70                  0.44             1.24         9.700000   \n",
       "173        0.61                  0.52             1.06         7.700000   \n",
       "174        0.75                  0.43             1.41         7.300000   \n",
       "175        0.69                  0.43             1.35        10.200000   \n",
       "176        0.68                  0.53             1.46         9.300000   \n",
       "177        0.76                  0.56             1.35         9.200000   \n",
       "\n",
       "       hue  od280/od315_of_diluted_wines  proline  \n",
       "0    1.040                          3.92   1065.0  \n",
       "1    1.050                          3.40   1050.0  \n",
       "2    1.030                          3.17   1185.0  \n",
       "3    0.860                          3.45   1480.0  \n",
       "4    1.040                          2.93    735.0  \n",
       "5    1.050                          2.85   1450.0  \n",
       "6    1.020                          3.58   1290.0  \n",
       "7    1.060                          3.58   1295.0  \n",
       "8    1.080                          2.85   1045.0  \n",
       "9    1.010                          3.55   1045.0  \n",
       "10   1.250                          3.17   1510.0  \n",
       "11   1.170                          2.82   1280.0  \n",
       "12   1.150                          2.90   1320.0  \n",
       "13   1.250                          2.73   1150.0  \n",
       "14   1.200                          3.00   1547.0  \n",
       "15   1.280                          2.88   1310.0  \n",
       "16   1.070                          2.65   1280.0  \n",
       "17   1.130                          2.57   1130.0  \n",
       "18   1.230                          2.82   1680.0  \n",
       "19   0.960                          3.36    845.0  \n",
       "20   1.090                          3.71    780.0  \n",
       "21   1.030                          3.52    770.0  \n",
       "22   1.110                          4.00   1035.0  \n",
       "23   1.090                          3.63   1015.0  \n",
       "24   1.120                          3.82    845.0  \n",
       "25   1.130                          3.20    830.0  \n",
       "26   0.920                          3.22   1195.0  \n",
       "27   1.020                          2.77   1285.0  \n",
       "28   1.250                          3.40    915.0  \n",
       "29   1.040                          3.59   1035.0  \n",
       "30   1.190                          2.71   1285.0  \n",
       "31   1.090                          2.88   1515.0  \n",
       "32   1.230                          2.87    990.0  \n",
       "33   1.250                          3.00   1235.0  \n",
       "34   1.100                          2.87   1095.0  \n",
       "35   1.040                          3.47    920.0  \n",
       "36   1.090                          2.78    880.0  \n",
       "37   1.120                          2.51   1105.0  \n",
       "38   1.180                          2.69   1020.0  \n",
       "39   0.890                          3.53    760.0  \n",
       "40   0.950                          3.38    795.0  \n",
       "41   0.910                          3.00   1035.0  \n",
       "42   0.880                          3.56   1095.0  \n",
       "43   0.820                          3.00    680.0  \n",
       "44   0.880                          3.35    885.0  \n",
       "45   0.870                          3.33   1080.0  \n",
       "46   1.040                          3.44   1065.0  \n",
       "47   0.910                          3.33    985.0  \n",
       "48   1.070                          2.75   1060.0  \n",
       "49   1.120                          3.10   1260.0  \n",
       "50   1.120                          2.91   1150.0  \n",
       "51   1.240                          3.37   1265.0  \n",
       "52   1.010                          3.26   1190.0  \n",
       "53   1.130                          2.93   1375.0  \n",
       "54   0.920                          3.20   1060.0  \n",
       "55   0.980                          3.03   1120.0  \n",
       "56   0.940                          3.31    970.0  \n",
       "57   1.070                          2.84   1270.0  \n",
       "58   0.890                          2.87   1285.0  \n",
       "59   1.050                          1.82    520.0  \n",
       "60   1.250                          1.67    680.0  \n",
       "61   0.980                          1.59    450.0  \n",
       "62   1.230                          2.46    630.0  \n",
       "63   1.220                          2.87    420.0  \n",
       "64   1.450                          2.23    355.0  \n",
       "65   1.190                          2.30    678.0  \n",
       "66   1.120                          3.18    502.0  \n",
       "67   1.120                          3.48    510.0  \n",
       "68   1.020                          1.93    750.0  \n",
       "69   1.280                          3.07    718.0  \n",
       "70   0.906                          1.82    870.0  \n",
       "71   1.360                          3.16    410.0  \n",
       "72   0.980                          2.78    472.0  \n",
       "73   1.310                          3.50    985.0  \n",
       "74   0.990                          3.13    886.0  \n",
       "75   1.230                          2.14    428.0  \n",
       "76   1.190                          2.48    392.0  \n",
       "77   0.960                          2.52    500.0  \n",
       "78   1.060                          2.31    750.0  \n",
       "79   1.190                          3.13    463.0  \n",
       "80   1.380                          3.12    278.0  \n",
       "81   1.160                          3.14    714.0  \n",
       "82   1.310                          2.72    630.0  \n",
       "83   0.840                          2.01    515.0  \n",
       "84   0.790                          3.08    520.0  \n",
       "85   1.230                          3.16    450.0  \n",
       "86   1.330                          2.26    495.0  \n",
       "87   1.360                          3.21    562.0  \n",
       "88   1.000                          2.75    680.0  \n",
       "89   1.070                          3.21    625.0  \n",
       "90   1.080                          2.27    480.0  \n",
       "91   1.050                          2.65    450.0  \n",
       "92   0.960                          2.06    495.0  \n",
       "93   1.150                          3.30    290.0  \n",
       "94   1.160                          2.96    345.0  \n",
       "95   1.160                          2.63    937.0  \n",
       "96   0.950                          2.26    625.0  \n",
       "97   1.230                          2.74    428.0  \n",
       "98   1.040                          2.77    660.0  \n",
       "99   1.420                          2.83    406.0  \n",
       "100  1.270                          2.96    710.0  \n",
       "101  1.040                          2.77    562.0  \n",
       "102  0.800                          3.38    438.0  \n",
       "103  0.940                          2.44    415.0  \n",
       "104  1.040                          3.57    672.0  \n",
       "105  0.860                          3.30    315.0  \n",
       "106  1.000                          3.17    510.0  \n",
       "107  0.880                          2.42    488.0  \n",
       "108  0.860                          3.02    312.0  \n",
       "109  0.960                          3.26    680.0  \n",
       "110  0.750                          2.81    562.0  \n",
       "111  0.900                          2.78    325.0  \n",
       "112  1.230                          2.50    607.0  \n",
       "113  1.100                          2.31    434.0  \n",
       "114  0.930                          3.19    385.0  \n",
       "115  1.710                          2.87    407.0  \n",
       "116  0.950                          3.33    495.0  \n",
       "117  1.060                          2.96    345.0  \n",
       "118  0.700                          2.12    372.0  \n",
       "119  0.930                          3.05    564.0  \n",
       "120  0.800                          3.39    625.0  \n",
       "121  0.930                          3.69    465.0  \n",
       "122  0.920                          3.12    365.0  \n",
       "123  0.730                          3.10    380.0  \n",
       "124  0.750                          3.64    380.0  \n",
       "125  0.860                          3.28    378.0  \n",
       "126  0.690                          2.84    352.0  \n",
       "127  0.970                          2.44    466.0  \n",
       "128  0.890                          2.78    342.0  \n",
       "129  0.790                          2.57    580.0  \n",
       "130  0.760                          1.29    630.0  \n",
       "131  0.740                          1.42    530.0  \n",
       "132  0.660                          1.36    560.0  \n",
       "133  0.780                          1.29    600.0  \n",
       "134  0.750                          1.51    650.0  \n",
       "135  0.730                          1.58    695.0  \n",
       "136  0.750                          1.27    720.0  \n",
       "137  0.820                          1.69    515.0  \n",
       "138  0.810                          1.82    580.0  \n",
       "139  0.890                          2.15    590.0  \n",
       "140  0.770                          2.31    600.0  \n",
       "141  0.700                          2.47    780.0  \n",
       "142  0.890                          2.06    520.0  \n",
       "143  0.910                          2.05    550.0  \n",
       "144  0.650                          2.00    855.0  \n",
       "145  0.600                          1.68    830.0  \n",
       "146  0.580                          1.33    415.0  \n",
       "147  0.540                          1.86    625.0  \n",
       "148  0.550                          1.62    650.0  \n",
       "149  0.570                          1.33    550.0  \n",
       "150  0.590                          1.30    500.0  \n",
       "151  0.480                          1.47    480.0  \n",
       "152  0.610                          1.33    425.0  \n",
       "153  0.560                          1.51    675.0  \n",
       "154  0.580                          1.55    640.0  \n",
       "155  0.600                          1.48    725.0  \n",
       "156  0.570                          1.64    480.0  \n",
       "157  0.670                          1.73    880.0  \n",
       "158  0.570                          1.96    660.0  \n",
       "159  0.570                          1.78    620.0  \n",
       "160  0.560                          1.58    520.0  \n",
       "161  0.960                          1.82    680.0  \n",
       "162  0.870                          2.11    570.0  \n",
       "163  0.680                          1.75    675.0  \n",
       "164  0.700                          1.68    615.0  \n",
       "165  0.780                          1.75    520.0  \n",
       "166  0.850                          1.56    695.0  \n",
       "167  0.720                          1.75    685.0  \n",
       "168  0.740                          1.80    750.0  \n",
       "169  0.670                          1.92    630.0  \n",
       "170  0.660                          1.83    510.0  \n",
       "171  0.570                          1.63    470.0  \n",
       "172  0.620                          1.71    660.0  \n",
       "173  0.640                          1.74    740.0  \n",
       "174  0.700                          1.56    750.0  \n",
       "175  0.590                          1.56    835.0  \n",
       "176  0.600                          1.62    840.0  \n",
       "177  0.610                          1.60    560.0  "
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "winedf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "Ad6z8jQq-zYI"
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "betterwinedf = pd.DataFrame(data= np.c_[wine['data'], wine['target']],\n",
    "                     columns= wine['feature_names'] + ['target'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "LI_kibYx-6SG"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></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",
       "      <th>target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>14.23</td>\n",
       "      <td>1.71</td>\n",
       "      <td>2.43</td>\n",
       "      <td>15.6</td>\n",
       "      <td>127.0</td>\n",
       "      <td>2.80</td>\n",
       "      <td>3.06</td>\n",
       "      <td>0.28</td>\n",
       "      <td>2.29</td>\n",
       "      <td>5.640000</td>\n",
       "      <td>1.040</td>\n",
       "      <td>3.92</td>\n",
       "      <td>1065.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>13.20</td>\n",
       "      <td>1.78</td>\n",
       "      <td>2.14</td>\n",
       "      <td>11.2</td>\n",
       "      <td>100.0</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>1.050</td>\n",
       "      <td>3.40</td>\n",
       "      <td>1050.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>13.16</td>\n",
       "      <td>2.36</td>\n",
       "      <td>2.67</td>\n",
       "      <td>18.6</td>\n",
       "      <td>101.0</td>\n",
       "      <td>2.80</td>\n",
       "      <td>3.24</td>\n",
       "      <td>0.30</td>\n",
       "      <td>2.81</td>\n",
       "      <td>5.680000</td>\n",
       "      <td>1.030</td>\n",
       "      <td>3.17</td>\n",
       "      <td>1185.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>14.37</td>\n",
       "      <td>1.95</td>\n",
       "      <td>2.50</td>\n",
       "      <td>16.8</td>\n",
       "      <td>113.0</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>0.860</td>\n",
       "      <td>3.45</td>\n",
       "      <td>1480.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\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>4.320000</td>\n",
       "      <td>1.040</td>\n",
       "      <td>2.93</td>\n",
       "      <td>735.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\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>6.750000</td>\n",
       "      <td>1.050</td>\n",
       "      <td>2.85</td>\n",
       "      <td>1450.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>14.39</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>5.250000</td>\n",
       "      <td>1.020</td>\n",
       "      <td>3.58</td>\n",
       "      <td>1290.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\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>1.060</td>\n",
       "      <td>3.58</td>\n",
       "      <td>1295.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\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>1.080</td>\n",
       "      <td>2.85</td>\n",
       "      <td>1045.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\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>1.010</td>\n",
       "      <td>3.55</td>\n",
       "      <td>1045.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>14.10</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>5.750000</td>\n",
       "      <td>1.250</td>\n",
       "      <td>3.17</td>\n",
       "      <td>1510.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\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>1.170</td>\n",
       "      <td>2.82</td>\n",
       "      <td>1280.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\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>1.150</td>\n",
       "      <td>2.90</td>\n",
       "      <td>1320.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\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>1.250</td>\n",
       "      <td>2.73</td>\n",
       "      <td>1150.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\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>1.200</td>\n",
       "      <td>3.00</td>\n",
       "      <td>1547.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\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>1.280</td>\n",
       "      <td>2.88</td>\n",
       "      <td>1310.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\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>1.070</td>\n",
       "      <td>2.65</td>\n",
       "      <td>1280.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\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>1.130</td>\n",
       "      <td>2.57</td>\n",
       "      <td>1130.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\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>1.230</td>\n",
       "      <td>2.82</td>\n",
       "      <td>1680.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\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>0.960</td>\n",
       "      <td>3.36</td>\n",
       "      <td>845.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\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>1.090</td>\n",
       "      <td>3.71</td>\n",
       "      <td>780.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\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>1.030</td>\n",
       "      <td>3.52</td>\n",
       "      <td>770.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\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>1.110</td>\n",
       "      <td>4.00</td>\n",
       "      <td>1035.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\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>1.090</td>\n",
       "      <td>3.63</td>\n",
       "      <td>1015.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\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>1.120</td>\n",
       "      <td>3.82</td>\n",
       "      <td>845.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\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>1.130</td>\n",
       "      <td>3.20</td>\n",
       "      <td>830.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\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>0.920</td>\n",
       "      <td>3.22</td>\n",
       "      <td>1195.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\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>1.020</td>\n",
       "      <td>2.77</td>\n",
       "      <td>1285.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\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>1.250</td>\n",
       "      <td>3.40</td>\n",
       "      <td>915.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\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>1.040</td>\n",
       "      <td>3.59</td>\n",
       "      <td>1035.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\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>1.190</td>\n",
       "      <td>2.71</td>\n",
       "      <td>1285.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\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>1.090</td>\n",
       "      <td>2.88</td>\n",
       "      <td>1515.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\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>1.230</td>\n",
       "      <td>2.87</td>\n",
       "      <td>990.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\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>1.250</td>\n",
       "      <td>3.00</td>\n",
       "      <td>1235.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\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>1.100</td>\n",
       "      <td>2.87</td>\n",
       "      <td>1095.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\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>1.040</td>\n",
       "      <td>3.47</td>\n",
       "      <td>920.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\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>1.090</td>\n",
       "      <td>2.78</td>\n",
       "      <td>880.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\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>1.120</td>\n",
       "      <td>2.51</td>\n",
       "      <td>1105.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>13.07</td>\n",
       "      <td>1.50</td>\n",
       "      <td>2.10</td>\n",
       "      <td>15.5</td>\n",
       "      <td>98.0</td>\n",
       "      <td>2.40</td>\n",
       "      <td>2.64</td>\n",
       "      <td>0.28</td>\n",
       "      <td>1.37</td>\n",
       "      <td>3.700000</td>\n",
       "      <td>1.180</td>\n",
       "      <td>2.69</td>\n",
       "      <td>1020.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>14.22</td>\n",
       "      <td>3.99</td>\n",
       "      <td>2.51</td>\n",
       "      <td>13.2</td>\n",
       "      <td>128.0</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>0.890</td>\n",
       "      <td>3.53</td>\n",
       "      <td>760.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>13.56</td>\n",
       "      <td>1.71</td>\n",
       "      <td>2.31</td>\n",
       "      <td>16.2</td>\n",
       "      <td>117.0</td>\n",
       "      <td>3.15</td>\n",
       "      <td>3.29</td>\n",
       "      <td>0.34</td>\n",
       "      <td>2.34</td>\n",
       "      <td>6.130000</td>\n",
       "      <td>0.950</td>\n",
       "      <td>3.38</td>\n",
       "      <td>795.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>13.41</td>\n",
       "      <td>3.84</td>\n",
       "      <td>2.12</td>\n",
       "      <td>18.8</td>\n",
       "      <td>90.0</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>0.910</td>\n",
       "      <td>3.00</td>\n",
       "      <td>1035.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>13.88</td>\n",
       "      <td>1.89</td>\n",
       "      <td>2.59</td>\n",
       "      <td>15.0</td>\n",
       "      <td>101.0</td>\n",
       "      <td>3.25</td>\n",
       "      <td>3.56</td>\n",
       "      <td>0.17</td>\n",
       "      <td>1.70</td>\n",
       "      <td>5.430000</td>\n",
       "      <td>0.880</td>\n",
       "      <td>3.56</td>\n",
       "      <td>1095.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>13.24</td>\n",
       "      <td>3.98</td>\n",
       "      <td>2.29</td>\n",
       "      <td>17.5</td>\n",
       "      <td>103.0</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>0.820</td>\n",
       "      <td>3.00</td>\n",
       "      <td>680.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>13.05</td>\n",
       "      <td>1.77</td>\n",
       "      <td>2.10</td>\n",
       "      <td>17.0</td>\n",
       "      <td>107.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.00</td>\n",
       "      <td>0.28</td>\n",
       "      <td>2.03</td>\n",
       "      <td>5.040000</td>\n",
       "      <td>0.880</td>\n",
       "      <td>3.35</td>\n",
       "      <td>885.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>14.21</td>\n",
       "      <td>4.04</td>\n",
       "      <td>2.44</td>\n",
       "      <td>18.9</td>\n",
       "      <td>111.0</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>0.870</td>\n",
       "      <td>3.33</td>\n",
       "      <td>1080.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>14.38</td>\n",
       "      <td>3.59</td>\n",
       "      <td>2.28</td>\n",
       "      <td>16.0</td>\n",
       "      <td>102.0</td>\n",
       "      <td>3.25</td>\n",
       "      <td>3.17</td>\n",
       "      <td>0.27</td>\n",
       "      <td>2.19</td>\n",
       "      <td>4.900000</td>\n",
       "      <td>1.040</td>\n",
       "      <td>3.44</td>\n",
       "      <td>1065.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>13.90</td>\n",
       "      <td>1.68</td>\n",
       "      <td>2.12</td>\n",
       "      <td>16.0</td>\n",
       "      <td>101.0</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>0.910</td>\n",
       "      <td>3.33</td>\n",
       "      <td>985.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>14.10</td>\n",
       "      <td>2.02</td>\n",
       "      <td>2.40</td>\n",
       "      <td>18.8</td>\n",
       "      <td>103.0</td>\n",
       "      <td>2.75</td>\n",
       "      <td>2.92</td>\n",
       "      <td>0.32</td>\n",
       "      <td>2.38</td>\n",
       "      <td>6.200000</td>\n",
       "      <td>1.070</td>\n",
       "      <td>2.75</td>\n",
       "      <td>1060.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>13.94</td>\n",
       "      <td>1.73</td>\n",
       "      <td>2.27</td>\n",
       "      <td>17.4</td>\n",
       "      <td>108.0</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>1.120</td>\n",
       "      <td>3.10</td>\n",
       "      <td>1260.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>13.05</td>\n",
       "      <td>1.73</td>\n",
       "      <td>2.04</td>\n",
       "      <td>12.4</td>\n",
       "      <td>92.0</td>\n",
       "      <td>2.72</td>\n",
       "      <td>3.27</td>\n",
       "      <td>0.17</td>\n",
       "      <td>2.91</td>\n",
       "      <td>7.200000</td>\n",
       "      <td>1.120</td>\n",
       "      <td>2.91</td>\n",
       "      <td>1150.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>13.83</td>\n",
       "      <td>1.65</td>\n",
       "      <td>2.60</td>\n",
       "      <td>17.2</td>\n",
       "      <td>94.0</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>1.240</td>\n",
       "      <td>3.37</td>\n",
       "      <td>1265.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>13.82</td>\n",
       "      <td>1.75</td>\n",
       "      <td>2.42</td>\n",
       "      <td>14.0</td>\n",
       "      <td>111.0</td>\n",
       "      <td>3.88</td>\n",
       "      <td>3.74</td>\n",
       "      <td>0.32</td>\n",
       "      <td>1.87</td>\n",
       "      <td>7.050000</td>\n",
       "      <td>1.010</td>\n",
       "      <td>3.26</td>\n",
       "      <td>1190.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>13.77</td>\n",
       "      <td>1.90</td>\n",
       "      <td>2.68</td>\n",
       "      <td>17.1</td>\n",
       "      <td>115.0</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>1.130</td>\n",
       "      <td>2.93</td>\n",
       "      <td>1375.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>13.74</td>\n",
       "      <td>1.67</td>\n",
       "      <td>2.25</td>\n",
       "      <td>16.4</td>\n",
       "      <td>118.0</td>\n",
       "      <td>2.60</td>\n",
       "      <td>2.90</td>\n",
       "      <td>0.21</td>\n",
       "      <td>1.62</td>\n",
       "      <td>5.850000</td>\n",
       "      <td>0.920</td>\n",
       "      <td>3.20</td>\n",
       "      <td>1060.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>13.56</td>\n",
       "      <td>1.73</td>\n",
       "      <td>2.46</td>\n",
       "      <td>20.5</td>\n",
       "      <td>116.0</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>0.980</td>\n",
       "      <td>3.03</td>\n",
       "      <td>1120.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>14.22</td>\n",
       "      <td>1.70</td>\n",
       "      <td>2.30</td>\n",
       "      <td>16.3</td>\n",
       "      <td>118.0</td>\n",
       "      <td>3.20</td>\n",
       "      <td>3.00</td>\n",
       "      <td>0.26</td>\n",
       "      <td>2.03</td>\n",
       "      <td>6.380000</td>\n",
       "      <td>0.940</td>\n",
       "      <td>3.31</td>\n",
       "      <td>970.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>13.29</td>\n",
       "      <td>1.97</td>\n",
       "      <td>2.68</td>\n",
       "      <td>16.8</td>\n",
       "      <td>102.0</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>1.070</td>\n",
       "      <td>2.84</td>\n",
       "      <td>1270.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>13.72</td>\n",
       "      <td>1.43</td>\n",
       "      <td>2.50</td>\n",
       "      <td>16.7</td>\n",
       "      <td>108.0</td>\n",
       "      <td>3.40</td>\n",
       "      <td>3.67</td>\n",
       "      <td>0.19</td>\n",
       "      <td>2.04</td>\n",
       "      <td>6.800000</td>\n",
       "      <td>0.890</td>\n",
       "      <td>2.87</td>\n",
       "      <td>1285.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>12.37</td>\n",
       "      <td>0.94</td>\n",
       "      <td>1.36</td>\n",
       "      <td>10.6</td>\n",
       "      <td>88.0</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>1.050</td>\n",
       "      <td>1.82</td>\n",
       "      <td>520.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>12.33</td>\n",
       "      <td>1.10</td>\n",
       "      <td>2.28</td>\n",
       "      <td>16.0</td>\n",
       "      <td>101.0</td>\n",
       "      <td>2.05</td>\n",
       "      <td>1.09</td>\n",
       "      <td>0.63</td>\n",
       "      <td>0.41</td>\n",
       "      <td>3.270000</td>\n",
       "      <td>1.250</td>\n",
       "      <td>1.67</td>\n",
       "      <td>680.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>12.64</td>\n",
       "      <td>1.36</td>\n",
       "      <td>2.02</td>\n",
       "      <td>16.8</td>\n",
       "      <td>100.0</td>\n",
       "      <td>2.02</td>\n",
       "      <td>1.41</td>\n",
       "      <td>0.53</td>\n",
       "      <td>0.62</td>\n",
       "      <td>5.750000</td>\n",
       "      <td>0.980</td>\n",
       "      <td>1.59</td>\n",
       "      <td>450.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>13.67</td>\n",
       "      <td>1.25</td>\n",
       "      <td>1.92</td>\n",
       "      <td>18.0</td>\n",
       "      <td>94.0</td>\n",
       "      <td>2.10</td>\n",
       "      <td>1.79</td>\n",
       "      <td>0.32</td>\n",
       "      <td>0.73</td>\n",
       "      <td>3.800000</td>\n",
       "      <td>1.230</td>\n",
       "      <td>2.46</td>\n",
       "      <td>630.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>12.37</td>\n",
       "      <td>1.13</td>\n",
       "      <td>2.16</td>\n",
       "      <td>19.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>3.50</td>\n",
       "      <td>3.10</td>\n",
       "      <td>0.19</td>\n",
       "      <td>1.87</td>\n",
       "      <td>4.450000</td>\n",
       "      <td>1.220</td>\n",
       "      <td>2.87</td>\n",
       "      <td>420.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>12.17</td>\n",
       "      <td>1.45</td>\n",
       "      <td>2.53</td>\n",
       "      <td>19.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>1.89</td>\n",
       "      <td>1.75</td>\n",
       "      <td>0.45</td>\n",
       "      <td>1.03</td>\n",
       "      <td>2.950000</td>\n",
       "      <td>1.450</td>\n",
       "      <td>2.23</td>\n",
       "      <td>355.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>12.37</td>\n",
       "      <td>1.21</td>\n",
       "      <td>2.56</td>\n",
       "      <td>18.1</td>\n",
       "      <td>98.0</td>\n",
       "      <td>2.42</td>\n",
       "      <td>2.65</td>\n",
       "      <td>0.37</td>\n",
       "      <td>2.08</td>\n",
       "      <td>4.600000</td>\n",
       "      <td>1.190</td>\n",
       "      <td>2.30</td>\n",
       "      <td>678.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>13.11</td>\n",
       "      <td>1.01</td>\n",
       "      <td>1.70</td>\n",
       "      <td>15.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>2.98</td>\n",
       "      <td>3.18</td>\n",
       "      <td>0.26</td>\n",
       "      <td>2.28</td>\n",
       "      <td>5.300000</td>\n",
       "      <td>1.120</td>\n",
       "      <td>3.18</td>\n",
       "      <td>502.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>12.37</td>\n",
       "      <td>1.17</td>\n",
       "      <td>1.92</td>\n",
       "      <td>19.6</td>\n",
       "      <td>78.0</td>\n",
       "      <td>2.11</td>\n",
       "      <td>2.00</td>\n",
       "      <td>0.27</td>\n",
       "      <td>1.04</td>\n",
       "      <td>4.680000</td>\n",
       "      <td>1.120</td>\n",
       "      <td>3.48</td>\n",
       "      <td>510.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>13.34</td>\n",
       "      <td>0.94</td>\n",
       "      <td>2.36</td>\n",
       "      <td>17.0</td>\n",
       "      <td>110.0</td>\n",
       "      <td>2.53</td>\n",
       "      <td>1.30</td>\n",
       "      <td>0.55</td>\n",
       "      <td>0.42</td>\n",
       "      <td>3.170000</td>\n",
       "      <td>1.020</td>\n",
       "      <td>1.93</td>\n",
       "      <td>750.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>12.21</td>\n",
       "      <td>1.19</td>\n",
       "      <td>1.75</td>\n",
       "      <td>16.8</td>\n",
       "      <td>151.0</td>\n",
       "      <td>1.85</td>\n",
       "      <td>1.28</td>\n",
       "      <td>0.14</td>\n",
       "      <td>2.50</td>\n",
       "      <td>2.850000</td>\n",
       "      <td>1.280</td>\n",
       "      <td>3.07</td>\n",
       "      <td>718.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>12.29</td>\n",
       "      <td>1.61</td>\n",
       "      <td>2.21</td>\n",
       "      <td>20.4</td>\n",
       "      <td>103.0</td>\n",
       "      <td>1.10</td>\n",
       "      <td>1.02</td>\n",
       "      <td>0.37</td>\n",
       "      <td>1.46</td>\n",
       "      <td>3.050000</td>\n",
       "      <td>0.906</td>\n",
       "      <td>1.82</td>\n",
       "      <td>870.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>13.86</td>\n",
       "      <td>1.51</td>\n",
       "      <td>2.67</td>\n",
       "      <td>25.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>2.95</td>\n",
       "      <td>2.86</td>\n",
       "      <td>0.21</td>\n",
       "      <td>1.87</td>\n",
       "      <td>3.380000</td>\n",
       "      <td>1.360</td>\n",
       "      <td>3.16</td>\n",
       "      <td>410.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>13.49</td>\n",
       "      <td>1.66</td>\n",
       "      <td>2.24</td>\n",
       "      <td>24.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>1.88</td>\n",
       "      <td>1.84</td>\n",
       "      <td>0.27</td>\n",
       "      <td>1.03</td>\n",
       "      <td>3.740000</td>\n",
       "      <td>0.980</td>\n",
       "      <td>2.78</td>\n",
       "      <td>472.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>12.99</td>\n",
       "      <td>1.67</td>\n",
       "      <td>2.60</td>\n",
       "      <td>30.0</td>\n",
       "      <td>139.0</td>\n",
       "      <td>3.30</td>\n",
       "      <td>2.89</td>\n",
       "      <td>0.21</td>\n",
       "      <td>1.96</td>\n",
       "      <td>3.350000</td>\n",
       "      <td>1.310</td>\n",
       "      <td>3.50</td>\n",
       "      <td>985.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>11.96</td>\n",
       "      <td>1.09</td>\n",
       "      <td>2.30</td>\n",
       "      <td>21.0</td>\n",
       "      <td>101.0</td>\n",
       "      <td>3.38</td>\n",
       "      <td>2.14</td>\n",
       "      <td>0.13</td>\n",
       "      <td>1.65</td>\n",
       "      <td>3.210000</td>\n",
       "      <td>0.990</td>\n",
       "      <td>3.13</td>\n",
       "      <td>886.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>11.66</td>\n",
       "      <td>1.88</td>\n",
       "      <td>1.92</td>\n",
       "      <td>16.0</td>\n",
       "      <td>97.0</td>\n",
       "      <td>1.61</td>\n",
       "      <td>1.57</td>\n",
       "      <td>0.34</td>\n",
       "      <td>1.15</td>\n",
       "      <td>3.800000</td>\n",
       "      <td>1.230</td>\n",
       "      <td>2.14</td>\n",
       "      <td>428.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>13.03</td>\n",
       "      <td>0.90</td>\n",
       "      <td>1.71</td>\n",
       "      <td>16.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>1.95</td>\n",
       "      <td>2.03</td>\n",
       "      <td>0.24</td>\n",
       "      <td>1.46</td>\n",
       "      <td>4.600000</td>\n",
       "      <td>1.190</td>\n",
       "      <td>2.48</td>\n",
       "      <td>392.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>11.84</td>\n",
       "      <td>2.89</td>\n",
       "      <td>2.23</td>\n",
       "      <td>18.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>1.72</td>\n",
       "      <td>1.32</td>\n",
       "      <td>0.43</td>\n",
       "      <td>0.95</td>\n",
       "      <td>2.650000</td>\n",
       "      <td>0.960</td>\n",
       "      <td>2.52</td>\n",
       "      <td>500.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>12.33</td>\n",
       "      <td>0.99</td>\n",
       "      <td>1.95</td>\n",
       "      <td>14.8</td>\n",
       "      <td>136.0</td>\n",
       "      <td>1.90</td>\n",
       "      <td>1.85</td>\n",
       "      <td>0.35</td>\n",
       "      <td>2.76</td>\n",
       "      <td>3.400000</td>\n",
       "      <td>1.060</td>\n",
       "      <td>2.31</td>\n",
       "      <td>750.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>12.70</td>\n",
       "      <td>3.87</td>\n",
       "      <td>2.40</td>\n",
       "      <td>23.0</td>\n",
       "      <td>101.0</td>\n",
       "      <td>2.83</td>\n",
       "      <td>2.55</td>\n",
       "      <td>0.43</td>\n",
       "      <td>1.95</td>\n",
       "      <td>2.570000</td>\n",
       "      <td>1.190</td>\n",
       "      <td>3.13</td>\n",
       "      <td>463.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>12.00</td>\n",
       "      <td>0.92</td>\n",
       "      <td>2.00</td>\n",
       "      <td>19.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>2.42</td>\n",
       "      <td>2.26</td>\n",
       "      <td>0.30</td>\n",
       "      <td>1.43</td>\n",
       "      <td>2.500000</td>\n",
       "      <td>1.380</td>\n",
       "      <td>3.12</td>\n",
       "      <td>278.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>12.72</td>\n",
       "      <td>1.81</td>\n",
       "      <td>2.20</td>\n",
       "      <td>18.8</td>\n",
       "      <td>86.0</td>\n",
       "      <td>2.20</td>\n",
       "      <td>2.53</td>\n",
       "      <td>0.26</td>\n",
       "      <td>1.77</td>\n",
       "      <td>3.900000</td>\n",
       "      <td>1.160</td>\n",
       "      <td>3.14</td>\n",
       "      <td>714.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>12.08</td>\n",
       "      <td>1.13</td>\n",
       "      <td>2.51</td>\n",
       "      <td>24.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>1.58</td>\n",
       "      <td>0.40</td>\n",
       "      <td>1.40</td>\n",
       "      <td>2.200000</td>\n",
       "      <td>1.310</td>\n",
       "      <td>2.72</td>\n",
       "      <td>630.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>13.05</td>\n",
       "      <td>3.86</td>\n",
       "      <td>2.32</td>\n",
       "      <td>22.5</td>\n",
       "      <td>85.0</td>\n",
       "      <td>1.65</td>\n",
       "      <td>1.59</td>\n",
       "      <td>0.61</td>\n",
       "      <td>1.62</td>\n",
       "      <td>4.800000</td>\n",
       "      <td>0.840</td>\n",
       "      <td>2.01</td>\n",
       "      <td>515.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>11.84</td>\n",
       "      <td>0.89</td>\n",
       "      <td>2.58</td>\n",
       "      <td>18.0</td>\n",
       "      <td>94.0</td>\n",
       "      <td>2.20</td>\n",
       "      <td>2.21</td>\n",
       "      <td>0.22</td>\n",
       "      <td>2.35</td>\n",
       "      <td>3.050000</td>\n",
       "      <td>0.790</td>\n",
       "      <td>3.08</td>\n",
       "      <td>520.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>12.67</td>\n",
       "      <td>0.98</td>\n",
       "      <td>2.24</td>\n",
       "      <td>18.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>2.20</td>\n",
       "      <td>1.94</td>\n",
       "      <td>0.30</td>\n",
       "      <td>1.46</td>\n",
       "      <td>2.620000</td>\n",
       "      <td>1.230</td>\n",
       "      <td>3.16</td>\n",
       "      <td>450.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>12.16</td>\n",
       "      <td>1.61</td>\n",
       "      <td>2.31</td>\n",
       "      <td>22.8</td>\n",
       "      <td>90.0</td>\n",
       "      <td>1.78</td>\n",
       "      <td>1.69</td>\n",
       "      <td>0.43</td>\n",
       "      <td>1.56</td>\n",
       "      <td>2.450000</td>\n",
       "      <td>1.330</td>\n",
       "      <td>2.26</td>\n",
       "      <td>495.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>11.65</td>\n",
       "      <td>1.67</td>\n",
       "      <td>2.62</td>\n",
       "      <td>26.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>1.92</td>\n",
       "      <td>1.61</td>\n",
       "      <td>0.40</td>\n",
       "      <td>1.34</td>\n",
       "      <td>2.600000</td>\n",
       "      <td>1.360</td>\n",
       "      <td>3.21</td>\n",
       "      <td>562.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>11.64</td>\n",
       "      <td>2.06</td>\n",
       "      <td>2.46</td>\n",
       "      <td>21.6</td>\n",
       "      <td>84.0</td>\n",
       "      <td>1.95</td>\n",
       "      <td>1.69</td>\n",
       "      <td>0.48</td>\n",
       "      <td>1.35</td>\n",
       "      <td>2.800000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>2.75</td>\n",
       "      <td>680.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>12.08</td>\n",
       "      <td>1.33</td>\n",
       "      <td>2.30</td>\n",
       "      <td>23.6</td>\n",
       "      <td>70.0</td>\n",
       "      <td>2.20</td>\n",
       "      <td>1.59</td>\n",
       "      <td>0.42</td>\n",
       "      <td>1.38</td>\n",
       "      <td>1.740000</td>\n",
       "      <td>1.070</td>\n",
       "      <td>3.21</td>\n",
       "      <td>625.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>12.08</td>\n",
       "      <td>1.83</td>\n",
       "      <td>2.32</td>\n",
       "      <td>18.5</td>\n",
       "      <td>81.0</td>\n",
       "      <td>1.60</td>\n",
       "      <td>1.50</td>\n",
       "      <td>0.52</td>\n",
       "      <td>1.64</td>\n",
       "      <td>2.400000</td>\n",
       "      <td>1.080</td>\n",
       "      <td>2.27</td>\n",
       "      <td>480.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>12.00</td>\n",
       "      <td>1.51</td>\n",
       "      <td>2.42</td>\n",
       "      <td>22.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>1.45</td>\n",
       "      <td>1.25</td>\n",
       "      <td>0.50</td>\n",
       "      <td>1.63</td>\n",
       "      <td>3.600000</td>\n",
       "      <td>1.050</td>\n",
       "      <td>2.65</td>\n",
       "      <td>450.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>12.69</td>\n",
       "      <td>1.53</td>\n",
       "      <td>2.26</td>\n",
       "      <td>20.7</td>\n",
       "      <td>80.0</td>\n",
       "      <td>1.38</td>\n",
       "      <td>1.46</td>\n",
       "      <td>0.58</td>\n",
       "      <td>1.62</td>\n",
       "      <td>3.050000</td>\n",
       "      <td>0.960</td>\n",
       "      <td>2.06</td>\n",
       "      <td>495.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>12.29</td>\n",
       "      <td>2.83</td>\n",
       "      <td>2.22</td>\n",
       "      <td>18.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>2.45</td>\n",
       "      <td>2.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>1.99</td>\n",
       "      <td>2.150000</td>\n",
       "      <td>1.150</td>\n",
       "      <td>3.30</td>\n",
       "      <td>290.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>11.62</td>\n",
       "      <td>1.99</td>\n",
       "      <td>2.28</td>\n",
       "      <td>18.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>3.02</td>\n",
       "      <td>2.26</td>\n",
       "      <td>0.17</td>\n",
       "      <td>1.35</td>\n",
       "      <td>3.250000</td>\n",
       "      <td>1.160</td>\n",
       "      <td>2.96</td>\n",
       "      <td>345.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>12.47</td>\n",
       "      <td>1.52</td>\n",
       "      <td>2.20</td>\n",
       "      <td>19.0</td>\n",
       "      <td>162.0</td>\n",
       "      <td>2.50</td>\n",
       "      <td>2.27</td>\n",
       "      <td>0.32</td>\n",
       "      <td>3.28</td>\n",
       "      <td>2.600000</td>\n",
       "      <td>1.160</td>\n",
       "      <td>2.63</td>\n",
       "      <td>937.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>11.81</td>\n",
       "      <td>2.12</td>\n",
       "      <td>2.74</td>\n",
       "      <td>21.5</td>\n",
       "      <td>134.0</td>\n",
       "      <td>1.60</td>\n",
       "      <td>0.99</td>\n",
       "      <td>0.14</td>\n",
       "      <td>1.56</td>\n",
       "      <td>2.500000</td>\n",
       "      <td>0.950</td>\n",
       "      <td>2.26</td>\n",
       "      <td>625.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>12.29</td>\n",
       "      <td>1.41</td>\n",
       "      <td>1.98</td>\n",
       "      <td>16.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>2.55</td>\n",
       "      <td>2.50</td>\n",
       "      <td>0.29</td>\n",
       "      <td>1.77</td>\n",
       "      <td>2.900000</td>\n",
       "      <td>1.230</td>\n",
       "      <td>2.74</td>\n",
       "      <td>428.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>12.37</td>\n",
       "      <td>1.07</td>\n",
       "      <td>2.10</td>\n",
       "      <td>18.5</td>\n",
       "      <td>88.0</td>\n",
       "      <td>3.52</td>\n",
       "      <td>3.75</td>\n",
       "      <td>0.24</td>\n",
       "      <td>1.95</td>\n",
       "      <td>4.500000</td>\n",
       "      <td>1.040</td>\n",
       "      <td>2.77</td>\n",
       "      <td>660.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>12.29</td>\n",
       "      <td>3.17</td>\n",
       "      <td>2.21</td>\n",
       "      <td>18.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>2.85</td>\n",
       "      <td>2.99</td>\n",
       "      <td>0.45</td>\n",
       "      <td>2.81</td>\n",
       "      <td>2.300000</td>\n",
       "      <td>1.420</td>\n",
       "      <td>2.83</td>\n",
       "      <td>406.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>12.08</td>\n",
       "      <td>2.08</td>\n",
       "      <td>1.70</td>\n",
       "      <td>17.5</td>\n",
       "      <td>97.0</td>\n",
       "      <td>2.23</td>\n",
       "      <td>2.17</td>\n",
       "      <td>0.26</td>\n",
       "      <td>1.40</td>\n",
       "      <td>3.300000</td>\n",
       "      <td>1.270</td>\n",
       "      <td>2.96</td>\n",
       "      <td>710.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>12.60</td>\n",
       "      <td>1.34</td>\n",
       "      <td>1.90</td>\n",
       "      <td>18.5</td>\n",
       "      <td>88.0</td>\n",
       "      <td>1.45</td>\n",
       "      <td>1.36</td>\n",
       "      <td>0.29</td>\n",
       "      <td>1.35</td>\n",
       "      <td>2.450000</td>\n",
       "      <td>1.040</td>\n",
       "      <td>2.77</td>\n",
       "      <td>562.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>12.34</td>\n",
       "      <td>2.45</td>\n",
       "      <td>2.46</td>\n",
       "      <td>21.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>2.56</td>\n",
       "      <td>2.11</td>\n",
       "      <td>0.34</td>\n",
       "      <td>1.31</td>\n",
       "      <td>2.800000</td>\n",
       "      <td>0.800</td>\n",
       "      <td>3.38</td>\n",
       "      <td>438.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>11.82</td>\n",
       "      <td>1.72</td>\n",
       "      <td>1.88</td>\n",
       "      <td>19.5</td>\n",
       "      <td>86.0</td>\n",
       "      <td>2.50</td>\n",
       "      <td>1.64</td>\n",
       "      <td>0.37</td>\n",
       "      <td>1.42</td>\n",
       "      <td>2.060000</td>\n",
       "      <td>0.940</td>\n",
       "      <td>2.44</td>\n",
       "      <td>415.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>12.51</td>\n",
       "      <td>1.73</td>\n",
       "      <td>1.98</td>\n",
       "      <td>20.5</td>\n",
       "      <td>85.0</td>\n",
       "      <td>2.20</td>\n",
       "      <td>1.92</td>\n",
       "      <td>0.32</td>\n",
       "      <td>1.48</td>\n",
       "      <td>2.940000</td>\n",
       "      <td>1.040</td>\n",
       "      <td>3.57</td>\n",
       "      <td>672.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>12.42</td>\n",
       "      <td>2.55</td>\n",
       "      <td>2.27</td>\n",
       "      <td>22.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>1.68</td>\n",
       "      <td>1.84</td>\n",
       "      <td>0.66</td>\n",
       "      <td>1.42</td>\n",
       "      <td>2.700000</td>\n",
       "      <td>0.860</td>\n",
       "      <td>3.30</td>\n",
       "      <td>315.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>12.25</td>\n",
       "      <td>1.73</td>\n",
       "      <td>2.12</td>\n",
       "      <td>19.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>1.65</td>\n",
       "      <td>2.03</td>\n",
       "      <td>0.37</td>\n",
       "      <td>1.63</td>\n",
       "      <td>3.400000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>3.17</td>\n",
       "      <td>510.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>12.72</td>\n",
       "      <td>1.75</td>\n",
       "      <td>2.28</td>\n",
       "      <td>22.5</td>\n",
       "      <td>84.0</td>\n",
       "      <td>1.38</td>\n",
       "      <td>1.76</td>\n",
       "      <td>0.48</td>\n",
       "      <td>1.63</td>\n",
       "      <td>3.300000</td>\n",
       "      <td>0.880</td>\n",
       "      <td>2.42</td>\n",
       "      <td>488.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>12.22</td>\n",
       "      <td>1.29</td>\n",
       "      <td>1.94</td>\n",
       "      <td>19.0</td>\n",
       "      <td>92.0</td>\n",
       "      <td>2.36</td>\n",
       "      <td>2.04</td>\n",
       "      <td>0.39</td>\n",
       "      <td>2.08</td>\n",
       "      <td>2.700000</td>\n",
       "      <td>0.860</td>\n",
       "      <td>3.02</td>\n",
       "      <td>312.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>11.61</td>\n",
       "      <td>1.35</td>\n",
       "      <td>2.70</td>\n",
       "      <td>20.0</td>\n",
       "      <td>94.0</td>\n",
       "      <td>2.74</td>\n",
       "      <td>2.92</td>\n",
       "      <td>0.29</td>\n",
       "      <td>2.49</td>\n",
       "      <td>2.650000</td>\n",
       "      <td>0.960</td>\n",
       "      <td>3.26</td>\n",
       "      <td>680.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>11.46</td>\n",
       "      <td>3.74</td>\n",
       "      <td>1.82</td>\n",
       "      <td>19.5</td>\n",
       "      <td>107.0</td>\n",
       "      <td>3.18</td>\n",
       "      <td>2.58</td>\n",
       "      <td>0.24</td>\n",
       "      <td>3.58</td>\n",
       "      <td>2.900000</td>\n",
       "      <td>0.750</td>\n",
       "      <td>2.81</td>\n",
       "      <td>562.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>12.52</td>\n",
       "      <td>2.43</td>\n",
       "      <td>2.17</td>\n",
       "      <td>21.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>2.55</td>\n",
       "      <td>2.27</td>\n",
       "      <td>0.26</td>\n",
       "      <td>1.22</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.900</td>\n",
       "      <td>2.78</td>\n",
       "      <td>325.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>11.76</td>\n",
       "      <td>2.68</td>\n",
       "      <td>2.92</td>\n",
       "      <td>20.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>1.75</td>\n",
       "      <td>2.03</td>\n",
       "      <td>0.60</td>\n",
       "      <td>1.05</td>\n",
       "      <td>3.800000</td>\n",
       "      <td>1.230</td>\n",
       "      <td>2.50</td>\n",
       "      <td>607.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>11.41</td>\n",
       "      <td>0.74</td>\n",
       "      <td>2.50</td>\n",
       "      <td>21.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>2.48</td>\n",
       "      <td>2.01</td>\n",
       "      <td>0.42</td>\n",
       "      <td>1.44</td>\n",
       "      <td>3.080000</td>\n",
       "      <td>1.100</td>\n",
       "      <td>2.31</td>\n",
       "      <td>434.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>12.08</td>\n",
       "      <td>1.39</td>\n",
       "      <td>2.50</td>\n",
       "      <td>22.5</td>\n",
       "      <td>84.0</td>\n",
       "      <td>2.56</td>\n",
       "      <td>2.29</td>\n",
       "      <td>0.43</td>\n",
       "      <td>1.04</td>\n",
       "      <td>2.900000</td>\n",
       "      <td>0.930</td>\n",
       "      <td>3.19</td>\n",
       "      <td>385.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>11.03</td>\n",
       "      <td>1.51</td>\n",
       "      <td>2.20</td>\n",
       "      <td>21.5</td>\n",
       "      <td>85.0</td>\n",
       "      <td>2.46</td>\n",
       "      <td>2.17</td>\n",
       "      <td>0.52</td>\n",
       "      <td>2.01</td>\n",
       "      <td>1.900000</td>\n",
       "      <td>1.710</td>\n",
       "      <td>2.87</td>\n",
       "      <td>407.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>11.82</td>\n",
       "      <td>1.47</td>\n",
       "      <td>1.99</td>\n",
       "      <td>20.8</td>\n",
       "      <td>86.0</td>\n",
       "      <td>1.98</td>\n",
       "      <td>1.60</td>\n",
       "      <td>0.30</td>\n",
       "      <td>1.53</td>\n",
       "      <td>1.950000</td>\n",
       "      <td>0.950</td>\n",
       "      <td>3.33</td>\n",
       "      <td>495.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>12.42</td>\n",
       "      <td>1.61</td>\n",
       "      <td>2.19</td>\n",
       "      <td>22.5</td>\n",
       "      <td>108.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.09</td>\n",
       "      <td>0.34</td>\n",
       "      <td>1.61</td>\n",
       "      <td>2.060000</td>\n",
       "      <td>1.060</td>\n",
       "      <td>2.96</td>\n",
       "      <td>345.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>12.77</td>\n",
       "      <td>3.43</td>\n",
       "      <td>1.98</td>\n",
       "      <td>16.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>1.63</td>\n",
       "      <td>1.25</td>\n",
       "      <td>0.43</td>\n",
       "      <td>0.83</td>\n",
       "      <td>3.400000</td>\n",
       "      <td>0.700</td>\n",
       "      <td>2.12</td>\n",
       "      <td>372.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>12.00</td>\n",
       "      <td>3.43</td>\n",
       "      <td>2.00</td>\n",
       "      <td>19.0</td>\n",
       "      <td>87.0</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>0.930</td>\n",
       "      <td>3.05</td>\n",
       "      <td>564.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>11.45</td>\n",
       "      <td>2.40</td>\n",
       "      <td>2.42</td>\n",
       "      <td>20.0</td>\n",
       "      <td>96.0</td>\n",
       "      <td>2.90</td>\n",
       "      <td>2.79</td>\n",
       "      <td>0.32</td>\n",
       "      <td>1.83</td>\n",
       "      <td>3.250000</td>\n",
       "      <td>0.800</td>\n",
       "      <td>3.39</td>\n",
       "      <td>625.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>11.56</td>\n",
       "      <td>2.05</td>\n",
       "      <td>3.23</td>\n",
       "      <td>28.5</td>\n",
       "      <td>119.0</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>0.930</td>\n",
       "      <td>3.69</td>\n",
       "      <td>465.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>12.42</td>\n",
       "      <td>4.43</td>\n",
       "      <td>2.73</td>\n",
       "      <td>26.5</td>\n",
       "      <td>102.0</td>\n",
       "      <td>2.20</td>\n",
       "      <td>2.13</td>\n",
       "      <td>0.43</td>\n",
       "      <td>1.71</td>\n",
       "      <td>2.080000</td>\n",
       "      <td>0.920</td>\n",
       "      <td>3.12</td>\n",
       "      <td>365.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>13.05</td>\n",
       "      <td>5.80</td>\n",
       "      <td>2.13</td>\n",
       "      <td>21.5</td>\n",
       "      <td>86.0</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>0.730</td>\n",
       "      <td>3.10</td>\n",
       "      <td>380.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>11.87</td>\n",
       "      <td>4.31</td>\n",
       "      <td>2.39</td>\n",
       "      <td>21.0</td>\n",
       "      <td>82.0</td>\n",
       "      <td>2.86</td>\n",
       "      <td>3.03</td>\n",
       "      <td>0.21</td>\n",
       "      <td>2.91</td>\n",
       "      <td>2.800000</td>\n",
       "      <td>0.750</td>\n",
       "      <td>3.64</td>\n",
       "      <td>380.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>12.07</td>\n",
       "      <td>2.16</td>\n",
       "      <td>2.17</td>\n",
       "      <td>21.0</td>\n",
       "      <td>85.0</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>0.860</td>\n",
       "      <td>3.28</td>\n",
       "      <td>378.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>12.43</td>\n",
       "      <td>1.53</td>\n",
       "      <td>2.29</td>\n",
       "      <td>21.5</td>\n",
       "      <td>86.0</td>\n",
       "      <td>2.74</td>\n",
       "      <td>3.15</td>\n",
       "      <td>0.39</td>\n",
       "      <td>1.77</td>\n",
       "      <td>3.940000</td>\n",
       "      <td>0.690</td>\n",
       "      <td>2.84</td>\n",
       "      <td>352.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>11.79</td>\n",
       "      <td>2.13</td>\n",
       "      <td>2.78</td>\n",
       "      <td>28.5</td>\n",
       "      <td>92.0</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>0.970</td>\n",
       "      <td>2.44</td>\n",
       "      <td>466.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>12.37</td>\n",
       "      <td>1.63</td>\n",
       "      <td>2.30</td>\n",
       "      <td>24.5</td>\n",
       "      <td>88.0</td>\n",
       "      <td>2.22</td>\n",
       "      <td>2.45</td>\n",
       "      <td>0.40</td>\n",
       "      <td>1.90</td>\n",
       "      <td>2.120000</td>\n",
       "      <td>0.890</td>\n",
       "      <td>2.78</td>\n",
       "      <td>342.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>12.04</td>\n",
       "      <td>4.30</td>\n",
       "      <td>2.38</td>\n",
       "      <td>22.0</td>\n",
       "      <td>80.0</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>0.790</td>\n",
       "      <td>2.57</td>\n",
       "      <td>580.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>12.86</td>\n",
       "      <td>1.35</td>\n",
       "      <td>2.32</td>\n",
       "      <td>18.0</td>\n",
       "      <td>122.0</td>\n",
       "      <td>1.51</td>\n",
       "      <td>1.25</td>\n",
       "      <td>0.21</td>\n",
       "      <td>0.94</td>\n",
       "      <td>4.100000</td>\n",
       "      <td>0.760</td>\n",
       "      <td>1.29</td>\n",
       "      <td>630.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>12.88</td>\n",
       "      <td>2.99</td>\n",
       "      <td>2.40</td>\n",
       "      <td>20.0</td>\n",
       "      <td>104.0</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>0.740</td>\n",
       "      <td>1.42</td>\n",
       "      <td>530.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>12.81</td>\n",
       "      <td>2.31</td>\n",
       "      <td>2.40</td>\n",
       "      <td>24.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>1.15</td>\n",
       "      <td>1.09</td>\n",
       "      <td>0.27</td>\n",
       "      <td>0.83</td>\n",
       "      <td>5.700000</td>\n",
       "      <td>0.660</td>\n",
       "      <td>1.36</td>\n",
       "      <td>560.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>12.70</td>\n",
       "      <td>3.55</td>\n",
       "      <td>2.36</td>\n",
       "      <td>21.5</td>\n",
       "      <td>106.0</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>0.780</td>\n",
       "      <td>1.29</td>\n",
       "      <td>600.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>12.51</td>\n",
       "      <td>1.24</td>\n",
       "      <td>2.25</td>\n",
       "      <td>17.5</td>\n",
       "      <td>85.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>0.58</td>\n",
       "      <td>0.60</td>\n",
       "      <td>1.25</td>\n",
       "      <td>5.450000</td>\n",
       "      <td>0.750</td>\n",
       "      <td>1.51</td>\n",
       "      <td>650.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>12.60</td>\n",
       "      <td>2.46</td>\n",
       "      <td>2.20</td>\n",
       "      <td>18.5</td>\n",
       "      <td>94.0</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>0.730</td>\n",
       "      <td>1.58</td>\n",
       "      <td>695.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>12.25</td>\n",
       "      <td>4.72</td>\n",
       "      <td>2.54</td>\n",
       "      <td>21.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>1.38</td>\n",
       "      <td>0.47</td>\n",
       "      <td>0.53</td>\n",
       "      <td>0.80</td>\n",
       "      <td>3.850000</td>\n",
       "      <td>0.750</td>\n",
       "      <td>1.27</td>\n",
       "      <td>720.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>12.53</td>\n",
       "      <td>5.51</td>\n",
       "      <td>2.64</td>\n",
       "      <td>25.0</td>\n",
       "      <td>96.0</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>0.820</td>\n",
       "      <td>1.69</td>\n",
       "      <td>515.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>13.49</td>\n",
       "      <td>3.59</td>\n",
       "      <td>2.19</td>\n",
       "      <td>19.5</td>\n",
       "      <td>88.0</td>\n",
       "      <td>1.62</td>\n",
       "      <td>0.48</td>\n",
       "      <td>0.58</td>\n",
       "      <td>0.88</td>\n",
       "      <td>5.700000</td>\n",
       "      <td>0.810</td>\n",
       "      <td>1.82</td>\n",
       "      <td>580.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>12.84</td>\n",
       "      <td>2.96</td>\n",
       "      <td>2.61</td>\n",
       "      <td>24.0</td>\n",
       "      <td>101.0</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>0.890</td>\n",
       "      <td>2.15</td>\n",
       "      <td>590.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>12.93</td>\n",
       "      <td>2.81</td>\n",
       "      <td>2.70</td>\n",
       "      <td>21.0</td>\n",
       "      <td>96.0</td>\n",
       "      <td>1.54</td>\n",
       "      <td>0.50</td>\n",
       "      <td>0.53</td>\n",
       "      <td>0.75</td>\n",
       "      <td>4.600000</td>\n",
       "      <td>0.770</td>\n",
       "      <td>2.31</td>\n",
       "      <td>600.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>13.36</td>\n",
       "      <td>2.56</td>\n",
       "      <td>2.35</td>\n",
       "      <td>20.0</td>\n",
       "      <td>89.0</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>0.700</td>\n",
       "      <td>2.47</td>\n",
       "      <td>780.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>13.52</td>\n",
       "      <td>3.17</td>\n",
       "      <td>2.72</td>\n",
       "      <td>23.5</td>\n",
       "      <td>97.0</td>\n",
       "      <td>1.55</td>\n",
       "      <td>0.52</td>\n",
       "      <td>0.50</td>\n",
       "      <td>0.55</td>\n",
       "      <td>4.350000</td>\n",
       "      <td>0.890</td>\n",
       "      <td>2.06</td>\n",
       "      <td>520.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>13.62</td>\n",
       "      <td>4.95</td>\n",
       "      <td>2.35</td>\n",
       "      <td>20.0</td>\n",
       "      <td>92.0</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>0.910</td>\n",
       "      <td>2.05</td>\n",
       "      <td>550.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>12.25</td>\n",
       "      <td>3.88</td>\n",
       "      <td>2.20</td>\n",
       "      <td>18.5</td>\n",
       "      <td>112.0</td>\n",
       "      <td>1.38</td>\n",
       "      <td>0.78</td>\n",
       "      <td>0.29</td>\n",
       "      <td>1.14</td>\n",
       "      <td>8.210000</td>\n",
       "      <td>0.650</td>\n",
       "      <td>2.00</td>\n",
       "      <td>855.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>13.16</td>\n",
       "      <td>3.57</td>\n",
       "      <td>2.15</td>\n",
       "      <td>21.0</td>\n",
       "      <td>102.0</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>0.600</td>\n",
       "      <td>1.68</td>\n",
       "      <td>830.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>13.88</td>\n",
       "      <td>5.04</td>\n",
       "      <td>2.23</td>\n",
       "      <td>20.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>0.98</td>\n",
       "      <td>0.34</td>\n",
       "      <td>0.40</td>\n",
       "      <td>0.68</td>\n",
       "      <td>4.900000</td>\n",
       "      <td>0.580</td>\n",
       "      <td>1.33</td>\n",
       "      <td>415.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>12.87</td>\n",
       "      <td>4.61</td>\n",
       "      <td>2.48</td>\n",
       "      <td>21.5</td>\n",
       "      <td>86.0</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>0.540</td>\n",
       "      <td>1.86</td>\n",
       "      <td>625.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\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>0.550</td>\n",
       "      <td>1.62</td>\n",
       "      <td>650.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\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>0.570</td>\n",
       "      <td>1.33</td>\n",
       "      <td>550.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\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>0.590</td>\n",
       "      <td>1.30</td>\n",
       "      <td>500.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\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>0.480</td>\n",
       "      <td>1.47</td>\n",
       "      <td>480.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\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>0.610</td>\n",
       "      <td>1.33</td>\n",
       "      <td>425.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\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>0.560</td>\n",
       "      <td>1.51</td>\n",
       "      <td>675.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\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>0.580</td>\n",
       "      <td>1.55</td>\n",
       "      <td>640.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\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>0.600</td>\n",
       "      <td>1.48</td>\n",
       "      <td>725.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\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>0.570</td>\n",
       "      <td>1.64</td>\n",
       "      <td>480.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\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>0.670</td>\n",
       "      <td>1.73</td>\n",
       "      <td>880.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\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>0.570</td>\n",
       "      <td>1.96</td>\n",
       "      <td>660.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\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>0.570</td>\n",
       "      <td>1.78</td>\n",
       "      <td>620.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\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>0.560</td>\n",
       "      <td>1.58</td>\n",
       "      <td>520.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\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>0.960</td>\n",
       "      <td>1.82</td>\n",
       "      <td>680.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\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>0.870</td>\n",
       "      <td>2.11</td>\n",
       "      <td>570.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\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>0.680</td>\n",
       "      <td>1.75</td>\n",
       "      <td>675.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\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>0.700</td>\n",
       "      <td>1.68</td>\n",
       "      <td>615.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165</th>\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>0.780</td>\n",
       "      <td>1.75</td>\n",
       "      <td>520.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\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>0.850</td>\n",
       "      <td>1.56</td>\n",
       "      <td>695.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\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>0.720</td>\n",
       "      <td>1.75</td>\n",
       "      <td>685.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\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>0.740</td>\n",
       "      <td>1.80</td>\n",
       "      <td>750.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\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>0.670</td>\n",
       "      <td>1.92</td>\n",
       "      <td>630.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\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>0.660</td>\n",
       "      <td>1.83</td>\n",
       "      <td>510.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\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>0.570</td>\n",
       "      <td>1.63</td>\n",
       "      <td>470.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\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>0.620</td>\n",
       "      <td>1.71</td>\n",
       "      <td>660.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\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>0.640</td>\n",
       "      <td>1.74</td>\n",
       "      <td>740.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\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>0.700</td>\n",
       "      <td>1.56</td>\n",
       "      <td>750.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175</th>\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>0.590</td>\n",
       "      <td>1.56</td>\n",
       "      <td>835.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\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>0.600</td>\n",
       "      <td>1.62</td>\n",
       "      <td>840.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\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>0.610</td>\n",
       "      <td>1.60</td>\n",
       "      <td>560.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     alcohol  malic_acid   ash  alcalinity_of_ash  magnesium  total_phenols  \\\n",
       "0      14.23        1.71  2.43               15.6      127.0           2.80   \n",
       "1      13.20        1.78  2.14               11.2      100.0           2.65   \n",
       "2      13.16        2.36  2.67               18.6      101.0           2.80   \n",
       "3      14.37        1.95  2.50               16.8      113.0           3.85   \n",
       "4      13.24        2.59  2.87               21.0      118.0           2.80   \n",
       "5      14.20        1.76  2.45               15.2      112.0           3.27   \n",
       "6      14.39        1.87  2.45               14.6       96.0           2.50   \n",
       "7      14.06        2.15  2.61               17.6      121.0           2.60   \n",
       "8      14.83        1.64  2.17               14.0       97.0           2.80   \n",
       "9      13.86        1.35  2.27               16.0       98.0           2.98   \n",
       "10     14.10        2.16  2.30               18.0      105.0           2.95   \n",
       "11     14.12        1.48  2.32               16.8       95.0           2.20   \n",
       "12     13.75        1.73  2.41               16.0       89.0           2.60   \n",
       "13     14.75        1.73  2.39               11.4       91.0           3.10   \n",
       "14     14.38        1.87  2.38               12.0      102.0           3.30   \n",
       "15     13.63        1.81  2.70               17.2      112.0           2.85   \n",
       "16     14.30        1.92  2.72               20.0      120.0           2.80   \n",
       "17     13.83        1.57  2.62               20.0      115.0           2.95   \n",
       "18     14.19        1.59  2.48               16.5      108.0           3.30   \n",
       "19     13.64        3.10  2.56               15.2      116.0           2.70   \n",
       "20     14.06        1.63  2.28               16.0      126.0           3.00   \n",
       "21     12.93        3.80  2.65               18.6      102.0           2.41   \n",
       "22     13.71        1.86  2.36               16.6      101.0           2.61   \n",
       "23     12.85        1.60  2.52               17.8       95.0           2.48   \n",
       "24     13.50        1.81  2.61               20.0       96.0           2.53   \n",
       "25     13.05        2.05  3.22               25.0      124.0           2.63   \n",
       "26     13.39        1.77  2.62               16.1       93.0           2.85   \n",
       "27     13.30        1.72  2.14               17.0       94.0           2.40   \n",
       "28     13.87        1.90  2.80               19.4      107.0           2.95   \n",
       "29     14.02        1.68  2.21               16.0       96.0           2.65   \n",
       "30     13.73        1.50  2.70               22.5      101.0           3.00   \n",
       "31     13.58        1.66  2.36               19.1      106.0           2.86   \n",
       "32     13.68        1.83  2.36               17.2      104.0           2.42   \n",
       "33     13.76        1.53  2.70               19.5      132.0           2.95   \n",
       "34     13.51        1.80  2.65               19.0      110.0           2.35   \n",
       "35     13.48        1.81  2.41               20.5      100.0           2.70   \n",
       "36     13.28        1.64  2.84               15.5      110.0           2.60   \n",
       "37     13.05        1.65  2.55               18.0       98.0           2.45   \n",
       "38     13.07        1.50  2.10               15.5       98.0           2.40   \n",
       "39     14.22        3.99  2.51               13.2      128.0           3.00   \n",
       "40     13.56        1.71  2.31               16.2      117.0           3.15   \n",
       "41     13.41        3.84  2.12               18.8       90.0           2.45   \n",
       "42     13.88        1.89  2.59               15.0      101.0           3.25   \n",
       "43     13.24        3.98  2.29               17.5      103.0           2.64   \n",
       "44     13.05        1.77  2.10               17.0      107.0           3.00   \n",
       "45     14.21        4.04  2.44               18.9      111.0           2.85   \n",
       "46     14.38        3.59  2.28               16.0      102.0           3.25   \n",
       "47     13.90        1.68  2.12               16.0      101.0           3.10   \n",
       "48     14.10        2.02  2.40               18.8      103.0           2.75   \n",
       "49     13.94        1.73  2.27               17.4      108.0           2.88   \n",
       "50     13.05        1.73  2.04               12.4       92.0           2.72   \n",
       "51     13.83        1.65  2.60               17.2       94.0           2.45   \n",
       "52     13.82        1.75  2.42               14.0      111.0           3.88   \n",
       "53     13.77        1.90  2.68               17.1      115.0           3.00   \n",
       "54     13.74        1.67  2.25               16.4      118.0           2.60   \n",
       "55     13.56        1.73  2.46               20.5      116.0           2.96   \n",
       "56     14.22        1.70  2.30               16.3      118.0           3.20   \n",
       "57     13.29        1.97  2.68               16.8      102.0           3.00   \n",
       "58     13.72        1.43  2.50               16.7      108.0           3.40   \n",
       "59     12.37        0.94  1.36               10.6       88.0           1.98   \n",
       "60     12.33        1.10  2.28               16.0      101.0           2.05   \n",
       "61     12.64        1.36  2.02               16.8      100.0           2.02   \n",
       "62     13.67        1.25  1.92               18.0       94.0           2.10   \n",
       "63     12.37        1.13  2.16               19.0       87.0           3.50   \n",
       "64     12.17        1.45  2.53               19.0      104.0           1.89   \n",
       "65     12.37        1.21  2.56               18.1       98.0           2.42   \n",
       "66     13.11        1.01  1.70               15.0       78.0           2.98   \n",
       "67     12.37        1.17  1.92               19.6       78.0           2.11   \n",
       "68     13.34        0.94  2.36               17.0      110.0           2.53   \n",
       "69     12.21        1.19  1.75               16.8      151.0           1.85   \n",
       "70     12.29        1.61  2.21               20.4      103.0           1.10   \n",
       "71     13.86        1.51  2.67               25.0       86.0           2.95   \n",
       "72     13.49        1.66  2.24               24.0       87.0           1.88   \n",
       "73     12.99        1.67  2.60               30.0      139.0           3.30   \n",
       "74     11.96        1.09  2.30               21.0      101.0           3.38   \n",
       "75     11.66        1.88  1.92               16.0       97.0           1.61   \n",
       "76     13.03        0.90  1.71               16.0       86.0           1.95   \n",
       "77     11.84        2.89  2.23               18.0      112.0           1.72   \n",
       "78     12.33        0.99  1.95               14.8      136.0           1.90   \n",
       "79     12.70        3.87  2.40               23.0      101.0           2.83   \n",
       "80     12.00        0.92  2.00               19.0       86.0           2.42   \n",
       "81     12.72        1.81  2.20               18.8       86.0           2.20   \n",
       "82     12.08        1.13  2.51               24.0       78.0           2.00   \n",
       "83     13.05        3.86  2.32               22.5       85.0           1.65   \n",
       "84     11.84        0.89  2.58               18.0       94.0           2.20   \n",
       "85     12.67        0.98  2.24               18.0       99.0           2.20   \n",
       "86     12.16        1.61  2.31               22.8       90.0           1.78   \n",
       "87     11.65        1.67  2.62               26.0       88.0           1.92   \n",
       "88     11.64        2.06  2.46               21.6       84.0           1.95   \n",
       "89     12.08        1.33  2.30               23.6       70.0           2.20   \n",
       "90     12.08        1.83  2.32               18.5       81.0           1.60   \n",
       "91     12.00        1.51  2.42               22.0       86.0           1.45   \n",
       "92     12.69        1.53  2.26               20.7       80.0           1.38   \n",
       "93     12.29        2.83  2.22               18.0       88.0           2.45   \n",
       "94     11.62        1.99  2.28               18.0       98.0           3.02   \n",
       "95     12.47        1.52  2.20               19.0      162.0           2.50   \n",
       "96     11.81        2.12  2.74               21.5      134.0           1.60   \n",
       "97     12.29        1.41  1.98               16.0       85.0           2.55   \n",
       "98     12.37        1.07  2.10               18.5       88.0           3.52   \n",
       "99     12.29        3.17  2.21               18.0       88.0           2.85   \n",
       "100    12.08        2.08  1.70               17.5       97.0           2.23   \n",
       "101    12.60        1.34  1.90               18.5       88.0           1.45   \n",
       "102    12.34        2.45  2.46               21.0       98.0           2.56   \n",
       "103    11.82        1.72  1.88               19.5       86.0           2.50   \n",
       "104    12.51        1.73  1.98               20.5       85.0           2.20   \n",
       "105    12.42        2.55  2.27               22.0       90.0           1.68   \n",
       "106    12.25        1.73  2.12               19.0       80.0           1.65   \n",
       "107    12.72        1.75  2.28               22.5       84.0           1.38   \n",
       "108    12.22        1.29  1.94               19.0       92.0           2.36   \n",
       "109    11.61        1.35  2.70               20.0       94.0           2.74   \n",
       "110    11.46        3.74  1.82               19.5      107.0           3.18   \n",
       "111    12.52        2.43  2.17               21.0       88.0           2.55   \n",
       "112    11.76        2.68  2.92               20.0      103.0           1.75   \n",
       "113    11.41        0.74  2.50               21.0       88.0           2.48   \n",
       "114    12.08        1.39  2.50               22.5       84.0           2.56   \n",
       "115    11.03        1.51  2.20               21.5       85.0           2.46   \n",
       "116    11.82        1.47  1.99               20.8       86.0           1.98   \n",
       "117    12.42        1.61  2.19               22.5      108.0           2.00   \n",
       "118    12.77        3.43  1.98               16.0       80.0           1.63   \n",
       "119    12.00        3.43  2.00               19.0       87.0           2.00   \n",
       "120    11.45        2.40  2.42               20.0       96.0           2.90   \n",
       "121    11.56        2.05  3.23               28.5      119.0           3.18   \n",
       "122    12.42        4.43  2.73               26.5      102.0           2.20   \n",
       "123    13.05        5.80  2.13               21.5       86.0           2.62   \n",
       "124    11.87        4.31  2.39               21.0       82.0           2.86   \n",
       "125    12.07        2.16  2.17               21.0       85.0           2.60   \n",
       "126    12.43        1.53  2.29               21.5       86.0           2.74   \n",
       "127    11.79        2.13  2.78               28.5       92.0           2.13   \n",
       "128    12.37        1.63  2.30               24.5       88.0           2.22   \n",
       "129    12.04        4.30  2.38               22.0       80.0           2.10   \n",
       "130    12.86        1.35  2.32               18.0      122.0           1.51   \n",
       "131    12.88        2.99  2.40               20.0      104.0           1.30   \n",
       "132    12.81        2.31  2.40               24.0       98.0           1.15   \n",
       "133    12.70        3.55  2.36               21.5      106.0           1.70   \n",
       "134    12.51        1.24  2.25               17.5       85.0           2.00   \n",
       "135    12.60        2.46  2.20               18.5       94.0           1.62   \n",
       "136    12.25        4.72  2.54               21.0       89.0           1.38   \n",
       "137    12.53        5.51  2.64               25.0       96.0           1.79   \n",
       "138    13.49        3.59  2.19               19.5       88.0           1.62   \n",
       "139    12.84        2.96  2.61               24.0      101.0           2.32   \n",
       "140    12.93        2.81  2.70               21.0       96.0           1.54   \n",
       "141    13.36        2.56  2.35               20.0       89.0           1.40   \n",
       "142    13.52        3.17  2.72               23.5       97.0           1.55   \n",
       "143    13.62        4.95  2.35               20.0       92.0           2.00   \n",
       "144    12.25        3.88  2.20               18.5      112.0           1.38   \n",
       "145    13.16        3.57  2.15               21.0      102.0           1.50   \n",
       "146    13.88        5.04  2.23               20.0       80.0           0.98   \n",
       "147    12.87        4.61  2.48               21.5       86.0           1.70   \n",
       "148    13.32        3.24  2.38               21.5       92.0           1.93   \n",
       "149    13.08        3.90  2.36               21.5      113.0           1.41   \n",
       "150    13.50        3.12  2.62               24.0      123.0           1.40   \n",
       "151    12.79        2.67  2.48               22.0      112.0           1.48   \n",
       "152    13.11        1.90  2.75               25.5      116.0           2.20   \n",
       "153    13.23        3.30  2.28               18.5       98.0           1.80   \n",
       "154    12.58        1.29  2.10               20.0      103.0           1.48   \n",
       "155    13.17        5.19  2.32               22.0       93.0           1.74   \n",
       "156    13.84        4.12  2.38               19.5       89.0           1.80   \n",
       "157    12.45        3.03  2.64               27.0       97.0           1.90   \n",
       "158    14.34        1.68  2.70               25.0       98.0           2.80   \n",
       "159    13.48        1.67  2.64               22.5       89.0           2.60   \n",
       "160    12.36        3.83  2.38               21.0       88.0           2.30   \n",
       "161    13.69        3.26  2.54               20.0      107.0           1.83   \n",
       "162    12.85        3.27  2.58               22.0      106.0           1.65   \n",
       "163    12.96        3.45  2.35               18.5      106.0           1.39   \n",
       "164    13.78        2.76  2.30               22.0       90.0           1.35   \n",
       "165    13.73        4.36  2.26               22.5       88.0           1.28   \n",
       "166    13.45        3.70  2.60               23.0      111.0           1.70   \n",
       "167    12.82        3.37  2.30               19.5       88.0           1.48   \n",
       "168    13.58        2.58  2.69               24.5      105.0           1.55   \n",
       "169    13.40        4.60  2.86               25.0      112.0           1.98   \n",
       "170    12.20        3.03  2.32               19.0       96.0           1.25   \n",
       "171    12.77        2.39  2.28               19.5       86.0           1.39   \n",
       "172    14.16        2.51  2.48               20.0       91.0           1.68   \n",
       "173    13.71        5.65  2.45               20.5       95.0           1.68   \n",
       "174    13.40        3.91  2.48               23.0      102.0           1.80   \n",
       "175    13.27        4.28  2.26               20.0      120.0           1.59   \n",
       "176    13.17        2.59  2.37               20.0      120.0           1.65   \n",
       "177    14.13        4.10  2.74               24.5       96.0           2.05   \n",
       "\n",
       "     flavanoids  nonflavanoid_phenols  proanthocyanins  color_intensity  \\\n",
       "0          3.06                  0.28             2.29         5.640000   \n",
       "1          2.76                  0.26             1.28         4.380000   \n",
       "2          3.24                  0.30             2.81         5.680000   \n",
       "3          3.49                  0.24             2.18         7.800000   \n",
       "4          2.69                  0.39             1.82         4.320000   \n",
       "5          3.39                  0.34             1.97         6.750000   \n",
       "6          2.52                  0.30             1.98         5.250000   \n",
       "7          2.51                  0.31             1.25         5.050000   \n",
       "8          2.98                  0.29             1.98         5.200000   \n",
       "9          3.15                  0.22             1.85         7.220000   \n",
       "10         3.32                  0.22             2.38         5.750000   \n",
       "11         2.43                  0.26             1.57         5.000000   \n",
       "12         2.76                  0.29             1.81         5.600000   \n",
       "13         3.69                  0.43             2.81         5.400000   \n",
       "14         3.64                  0.29             2.96         7.500000   \n",
       "15         2.91                  0.30             1.46         7.300000   \n",
       "16         3.14                  0.33             1.97         6.200000   \n",
       "17         3.40                  0.40             1.72         6.600000   \n",
       "18         3.93                  0.32             1.86         8.700000   \n",
       "19         3.03                  0.17             1.66         5.100000   \n",
       "20         3.17                  0.24             2.10         5.650000   \n",
       "21         2.41                  0.25             1.98         4.500000   \n",
       "22         2.88                  0.27             1.69         3.800000   \n",
       "23         2.37                  0.26             1.46         3.930000   \n",
       "24         2.61                  0.28             1.66         3.520000   \n",
       "25         2.68                  0.47             1.92         3.580000   \n",
       "26         2.94                  0.34             1.45         4.800000   \n",
       "27         2.19                  0.27             1.35         3.950000   \n",
       "28         2.97                  0.37             1.76         4.500000   \n",
       "29         2.33                  0.26             1.98         4.700000   \n",
       "30         3.25                  0.29             2.38         5.700000   \n",
       "31         3.19                  0.22             1.95         6.900000   \n",
       "32         2.69                  0.42             1.97         3.840000   \n",
       "33         2.74                  0.50             1.35         5.400000   \n",
       "34         2.53                  0.29             1.54         4.200000   \n",
       "35         2.98                  0.26             1.86         5.100000   \n",
       "36         2.68                  0.34             1.36         4.600000   \n",
       "37         2.43                  0.29             1.44         4.250000   \n",
       "38         2.64                  0.28             1.37         3.700000   \n",
       "39         3.04                  0.20             2.08         5.100000   \n",
       "40         3.29                  0.34             2.34         6.130000   \n",
       "41         2.68                  0.27             1.48         4.280000   \n",
       "42         3.56                  0.17             1.70         5.430000   \n",
       "43         2.63                  0.32             1.66         4.360000   \n",
       "44         3.00                  0.28             2.03         5.040000   \n",
       "45         2.65                  0.30             1.25         5.240000   \n",
       "46         3.17                  0.27             2.19         4.900000   \n",
       "47         3.39                  0.21             2.14         6.100000   \n",
       "48         2.92                  0.32             2.38         6.200000   \n",
       "49         3.54                  0.32             2.08         8.900000   \n",
       "50         3.27                  0.17             2.91         7.200000   \n",
       "51         2.99                  0.22             2.29         5.600000   \n",
       "52         3.74                  0.32             1.87         7.050000   \n",
       "53         2.79                  0.39             1.68         6.300000   \n",
       "54         2.90                  0.21             1.62         5.850000   \n",
       "55         2.78                  0.20             2.45         6.250000   \n",
       "56         3.00                  0.26             2.03         6.380000   \n",
       "57         3.23                  0.31             1.66         6.000000   \n",
       "58         3.67                  0.19             2.04         6.800000   \n",
       "59         0.57                  0.28             0.42         1.950000   \n",
       "60         1.09                  0.63             0.41         3.270000   \n",
       "61         1.41                  0.53             0.62         5.750000   \n",
       "62         1.79                  0.32             0.73         3.800000   \n",
       "63         3.10                  0.19             1.87         4.450000   \n",
       "64         1.75                  0.45             1.03         2.950000   \n",
       "65         2.65                  0.37             2.08         4.600000   \n",
       "66         3.18                  0.26             2.28         5.300000   \n",
       "67         2.00                  0.27             1.04         4.680000   \n",
       "68         1.30                  0.55             0.42         3.170000   \n",
       "69         1.28                  0.14             2.50         2.850000   \n",
       "70         1.02                  0.37             1.46         3.050000   \n",
       "71         2.86                  0.21             1.87         3.380000   \n",
       "72         1.84                  0.27             1.03         3.740000   \n",
       "73         2.89                  0.21             1.96         3.350000   \n",
       "74         2.14                  0.13             1.65         3.210000   \n",
       "75         1.57                  0.34             1.15         3.800000   \n",
       "76         2.03                  0.24             1.46         4.600000   \n",
       "77         1.32                  0.43             0.95         2.650000   \n",
       "78         1.85                  0.35             2.76         3.400000   \n",
       "79         2.55                  0.43             1.95         2.570000   \n",
       "80         2.26                  0.30             1.43         2.500000   \n",
       "81         2.53                  0.26             1.77         3.900000   \n",
       "82         1.58                  0.40             1.40         2.200000   \n",
       "83         1.59                  0.61             1.62         4.800000   \n",
       "84         2.21                  0.22             2.35         3.050000   \n",
       "85         1.94                  0.30             1.46         2.620000   \n",
       "86         1.69                  0.43             1.56         2.450000   \n",
       "87         1.61                  0.40             1.34         2.600000   \n",
       "88         1.69                  0.48             1.35         2.800000   \n",
       "89         1.59                  0.42             1.38         1.740000   \n",
       "90         1.50                  0.52             1.64         2.400000   \n",
       "91         1.25                  0.50             1.63         3.600000   \n",
       "92         1.46                  0.58             1.62         3.050000   \n",
       "93         2.25                  0.25             1.99         2.150000   \n",
       "94         2.26                  0.17             1.35         3.250000   \n",
       "95         2.27                  0.32             3.28         2.600000   \n",
       "96         0.99                  0.14             1.56         2.500000   \n",
       "97         2.50                  0.29             1.77         2.900000   \n",
       "98         3.75                  0.24             1.95         4.500000   \n",
       "99         2.99                  0.45             2.81         2.300000   \n",
       "100        2.17                  0.26             1.40         3.300000   \n",
       "101        1.36                  0.29             1.35         2.450000   \n",
       "102        2.11                  0.34             1.31         2.800000   \n",
       "103        1.64                  0.37             1.42         2.060000   \n",
       "104        1.92                  0.32             1.48         2.940000   \n",
       "105        1.84                  0.66             1.42         2.700000   \n",
       "106        2.03                  0.37             1.63         3.400000   \n",
       "107        1.76                  0.48             1.63         3.300000   \n",
       "108        2.04                  0.39             2.08         2.700000   \n",
       "109        2.92                  0.29             2.49         2.650000   \n",
       "110        2.58                  0.24             3.58         2.900000   \n",
       "111        2.27                  0.26             1.22         2.000000   \n",
       "112        2.03                  0.60             1.05         3.800000   \n",
       "113        2.01                  0.42             1.44         3.080000   \n",
       "114        2.29                  0.43             1.04         2.900000   \n",
       "115        2.17                  0.52             2.01         1.900000   \n",
       "116        1.60                  0.30             1.53         1.950000   \n",
       "117        2.09                  0.34             1.61         2.060000   \n",
       "118        1.25                  0.43             0.83         3.400000   \n",
       "119        1.64                  0.37             1.87         1.280000   \n",
       "120        2.79                  0.32             1.83         3.250000   \n",
       "121        5.08                  0.47             1.87         6.000000   \n",
       "122        2.13                  0.43             1.71         2.080000   \n",
       "123        2.65                  0.30             2.01         2.600000   \n",
       "124        3.03                  0.21             2.91         2.800000   \n",
       "125        2.65                  0.37             1.35         2.760000   \n",
       "126        3.15                  0.39             1.77         3.940000   \n",
       "127        2.24                  0.58             1.76         3.000000   \n",
       "128        2.45                  0.40             1.90         2.120000   \n",
       "129        1.75                  0.42             1.35         2.600000   \n",
       "130        1.25                  0.21             0.94         4.100000   \n",
       "131        1.22                  0.24             0.83         5.400000   \n",
       "132        1.09                  0.27             0.83         5.700000   \n",
       "133        1.20                  0.17             0.84         5.000000   \n",
       "134        0.58                  0.60             1.25         5.450000   \n",
       "135        0.66                  0.63             0.94         7.100000   \n",
       "136        0.47                  0.53             0.80         3.850000   \n",
       "137        0.60                  0.63             1.10         5.000000   \n",
       "138        0.48                  0.58             0.88         5.700000   \n",
       "139        0.60                  0.53             0.81         4.920000   \n",
       "140        0.50                  0.53             0.75         4.600000   \n",
       "141        0.50                  0.37             0.64         5.600000   \n",
       "142        0.52                  0.50             0.55         4.350000   \n",
       "143        0.80                  0.47             1.02         4.400000   \n",
       "144        0.78                  0.29             1.14         8.210000   \n",
       "145        0.55                  0.43             1.30         4.000000   \n",
       "146        0.34                  0.40             0.68         4.900000   \n",
       "147        0.65                  0.47             0.86         7.650000   \n",
       "148        0.76                  0.45             1.25         8.420000   \n",
       "149        1.39                  0.34             1.14         9.400000   \n",
       "150        1.57                  0.22             1.25         8.600000   \n",
       "151        1.36                  0.24             1.26        10.800000   \n",
       "152        1.28                  0.26             1.56         7.100000   \n",
       "153        0.83                  0.61             1.87        10.520000   \n",
       "154        0.58                  0.53             1.40         7.600000   \n",
       "155        0.63                  0.61             1.55         7.900000   \n",
       "156        0.83                  0.48             1.56         9.010000   \n",
       "157        0.58                  0.63             1.14         7.500000   \n",
       "158        1.31                  0.53             2.70        13.000000   \n",
       "159        1.10                  0.52             2.29        11.750000   \n",
       "160        0.92                  0.50             1.04         7.650000   \n",
       "161        0.56                  0.50             0.80         5.880000   \n",
       "162        0.60                  0.60             0.96         5.580000   \n",
       "163        0.70                  0.40             0.94         5.280000   \n",
       "164        0.68                  0.41             1.03         9.580000   \n",
       "165        0.47                  0.52             1.15         6.620000   \n",
       "166        0.92                  0.43             1.46        10.680000   \n",
       "167        0.66                  0.40             0.97        10.260000   \n",
       "168        0.84                  0.39             1.54         8.660000   \n",
       "169        0.96                  0.27             1.11         8.500000   \n",
       "170        0.49                  0.40             0.73         5.500000   \n",
       "171        0.51                  0.48             0.64         9.899999   \n",
       "172        0.70                  0.44             1.24         9.700000   \n",
       "173        0.61                  0.52             1.06         7.700000   \n",
       "174        0.75                  0.43             1.41         7.300000   \n",
       "175        0.69                  0.43             1.35        10.200000   \n",
       "176        0.68                  0.53             1.46         9.300000   \n",
       "177        0.76                  0.56             1.35         9.200000   \n",
       "\n",
       "       hue  od280/od315_of_diluted_wines  proline  target  \n",
       "0    1.040                          3.92   1065.0     0.0  \n",
       "1    1.050                          3.40   1050.0     0.0  \n",
       "2    1.030                          3.17   1185.0     0.0  \n",
       "3    0.860                          3.45   1480.0     0.0  \n",
       "4    1.040                          2.93    735.0     0.0  \n",
       "5    1.050                          2.85   1450.0     0.0  \n",
       "6    1.020                          3.58   1290.0     0.0  \n",
       "7    1.060                          3.58   1295.0     0.0  \n",
       "8    1.080                          2.85   1045.0     0.0  \n",
       "9    1.010                          3.55   1045.0     0.0  \n",
       "10   1.250                          3.17   1510.0     0.0  \n",
       "11   1.170                          2.82   1280.0     0.0  \n",
       "12   1.150                          2.90   1320.0     0.0  \n",
       "13   1.250                          2.73   1150.0     0.0  \n",
       "14   1.200                          3.00   1547.0     0.0  \n",
       "15   1.280                          2.88   1310.0     0.0  \n",
       "16   1.070                          2.65   1280.0     0.0  \n",
       "17   1.130                          2.57   1130.0     0.0  \n",
       "18   1.230                          2.82   1680.0     0.0  \n",
       "19   0.960                          3.36    845.0     0.0  \n",
       "20   1.090                          3.71    780.0     0.0  \n",
       "21   1.030                          3.52    770.0     0.0  \n",
       "22   1.110                          4.00   1035.0     0.0  \n",
       "23   1.090                          3.63   1015.0     0.0  \n",
       "24   1.120                          3.82    845.0     0.0  \n",
       "25   1.130                          3.20    830.0     0.0  \n",
       "26   0.920                          3.22   1195.0     0.0  \n",
       "27   1.020                          2.77   1285.0     0.0  \n",
       "28   1.250                          3.40    915.0     0.0  \n",
       "29   1.040                          3.59   1035.0     0.0  \n",
       "30   1.190                          2.71   1285.0     0.0  \n",
       "31   1.090                          2.88   1515.0     0.0  \n",
       "32   1.230                          2.87    990.0     0.0  \n",
       "33   1.250                          3.00   1235.0     0.0  \n",
       "34   1.100                          2.87   1095.0     0.0  \n",
       "35   1.040                          3.47    920.0     0.0  \n",
       "36   1.090                          2.78    880.0     0.0  \n",
       "37   1.120                          2.51   1105.0     0.0  \n",
       "38   1.180                          2.69   1020.0     0.0  \n",
       "39   0.890                          3.53    760.0     0.0  \n",
       "40   0.950                          3.38    795.0     0.0  \n",
       "41   0.910                          3.00   1035.0     0.0  \n",
       "42   0.880                          3.56   1095.0     0.0  \n",
       "43   0.820                          3.00    680.0     0.0  \n",
       "44   0.880                          3.35    885.0     0.0  \n",
       "45   0.870                          3.33   1080.0     0.0  \n",
       "46   1.040                          3.44   1065.0     0.0  \n",
       "47   0.910                          3.33    985.0     0.0  \n",
       "48   1.070                          2.75   1060.0     0.0  \n",
       "49   1.120                          3.10   1260.0     0.0  \n",
       "50   1.120                          2.91   1150.0     0.0  \n",
       "51   1.240                          3.37   1265.0     0.0  \n",
       "52   1.010                          3.26   1190.0     0.0  \n",
       "53   1.130                          2.93   1375.0     0.0  \n",
       "54   0.920                          3.20   1060.0     0.0  \n",
       "55   0.980                          3.03   1120.0     0.0  \n",
       "56   0.940                          3.31    970.0     0.0  \n",
       "57   1.070                          2.84   1270.0     0.0  \n",
       "58   0.890                          2.87   1285.0     0.0  \n",
       "59   1.050                          1.82    520.0     1.0  \n",
       "60   1.250                          1.67    680.0     1.0  \n",
       "61   0.980                          1.59    450.0     1.0  \n",
       "62   1.230                          2.46    630.0     1.0  \n",
       "63   1.220                          2.87    420.0     1.0  \n",
       "64   1.450                          2.23    355.0     1.0  \n",
       "65   1.190                          2.30    678.0     1.0  \n",
       "66   1.120                          3.18    502.0     1.0  \n",
       "67   1.120                          3.48    510.0     1.0  \n",
       "68   1.020                          1.93    750.0     1.0  \n",
       "69   1.280                          3.07    718.0     1.0  \n",
       "70   0.906                          1.82    870.0     1.0  \n",
       "71   1.360                          3.16    410.0     1.0  \n",
       "72   0.980                          2.78    472.0     1.0  \n",
       "73   1.310                          3.50    985.0     1.0  \n",
       "74   0.990                          3.13    886.0     1.0  \n",
       "75   1.230                          2.14    428.0     1.0  \n",
       "76   1.190                          2.48    392.0     1.0  \n",
       "77   0.960                          2.52    500.0     1.0  \n",
       "78   1.060                          2.31    750.0     1.0  \n",
       "79   1.190                          3.13    463.0     1.0  \n",
       "80   1.380                          3.12    278.0     1.0  \n",
       "81   1.160                          3.14    714.0     1.0  \n",
       "82   1.310                          2.72    630.0     1.0  \n",
       "83   0.840                          2.01    515.0     1.0  \n",
       "84   0.790                          3.08    520.0     1.0  \n",
       "85   1.230                          3.16    450.0     1.0  \n",
       "86   1.330                          2.26    495.0     1.0  \n",
       "87   1.360                          3.21    562.0     1.0  \n",
       "88   1.000                          2.75    680.0     1.0  \n",
       "89   1.070                          3.21    625.0     1.0  \n",
       "90   1.080                          2.27    480.0     1.0  \n",
       "91   1.050                          2.65    450.0     1.0  \n",
       "92   0.960                          2.06    495.0     1.0  \n",
       "93   1.150                          3.30    290.0     1.0  \n",
       "94   1.160                          2.96    345.0     1.0  \n",
       "95   1.160                          2.63    937.0     1.0  \n",
       "96   0.950                          2.26    625.0     1.0  \n",
       "97   1.230                          2.74    428.0     1.0  \n",
       "98   1.040                          2.77    660.0     1.0  \n",
       "99   1.420                          2.83    406.0     1.0  \n",
       "100  1.270                          2.96    710.0     1.0  \n",
       "101  1.040                          2.77    562.0     1.0  \n",
       "102  0.800                          3.38    438.0     1.0  \n",
       "103  0.940                          2.44    415.0     1.0  \n",
       "104  1.040                          3.57    672.0     1.0  \n",
       "105  0.860                          3.30    315.0     1.0  \n",
       "106  1.000                          3.17    510.0     1.0  \n",
       "107  0.880                          2.42    488.0     1.0  \n",
       "108  0.860                          3.02    312.0     1.0  \n",
       "109  0.960                          3.26    680.0     1.0  \n",
       "110  0.750                          2.81    562.0     1.0  \n",
       "111  0.900                          2.78    325.0     1.0  \n",
       "112  1.230                          2.50    607.0     1.0  \n",
       "113  1.100                          2.31    434.0     1.0  \n",
       "114  0.930                          3.19    385.0     1.0  \n",
       "115  1.710                          2.87    407.0     1.0  \n",
       "116  0.950                          3.33    495.0     1.0  \n",
       "117  1.060                          2.96    345.0     1.0  \n",
       "118  0.700                          2.12    372.0     1.0  \n",
       "119  0.930                          3.05    564.0     1.0  \n",
       "120  0.800                          3.39    625.0     1.0  \n",
       "121  0.930                          3.69    465.0     1.0  \n",
       "122  0.920                          3.12    365.0     1.0  \n",
       "123  0.730                          3.10    380.0     1.0  \n",
       "124  0.750                          3.64    380.0     1.0  \n",
       "125  0.860                          3.28    378.0     1.0  \n",
       "126  0.690                          2.84    352.0     1.0  \n",
       "127  0.970                          2.44    466.0     1.0  \n",
       "128  0.890                          2.78    342.0     1.0  \n",
       "129  0.790                          2.57    580.0     1.0  \n",
       "130  0.760                          1.29    630.0     2.0  \n",
       "131  0.740                          1.42    530.0     2.0  \n",
       "132  0.660                          1.36    560.0     2.0  \n",
       "133  0.780                          1.29    600.0     2.0  \n",
       "134  0.750                          1.51    650.0     2.0  \n",
       "135  0.730                          1.58    695.0     2.0  \n",
       "136  0.750                          1.27    720.0     2.0  \n",
       "137  0.820                          1.69    515.0     2.0  \n",
       "138  0.810                          1.82    580.0     2.0  \n",
       "139  0.890                          2.15    590.0     2.0  \n",
       "140  0.770                          2.31    600.0     2.0  \n",
       "141  0.700                          2.47    780.0     2.0  \n",
       "142  0.890                          2.06    520.0     2.0  \n",
       "143  0.910                          2.05    550.0     2.0  \n",
       "144  0.650                          2.00    855.0     2.0  \n",
       "145  0.600                          1.68    830.0     2.0  \n",
       "146  0.580                          1.33    415.0     2.0  \n",
       "147  0.540                          1.86    625.0     2.0  \n",
       "148  0.550                          1.62    650.0     2.0  \n",
       "149  0.570                          1.33    550.0     2.0  \n",
       "150  0.590                          1.30    500.0     2.0  \n",
       "151  0.480                          1.47    480.0     2.0  \n",
       "152  0.610                          1.33    425.0     2.0  \n",
       "153  0.560                          1.51    675.0     2.0  \n",
       "154  0.580                          1.55    640.0     2.0  \n",
       "155  0.600                          1.48    725.0     2.0  \n",
       "156  0.570                          1.64    480.0     2.0  \n",
       "157  0.670                          1.73    880.0     2.0  \n",
       "158  0.570                          1.96    660.0     2.0  \n",
       "159  0.570                          1.78    620.0     2.0  \n",
       "160  0.560                          1.58    520.0     2.0  \n",
       "161  0.960                          1.82    680.0     2.0  \n",
       "162  0.870                          2.11    570.0     2.0  \n",
       "163  0.680                          1.75    675.0     2.0  \n",
       "164  0.700                          1.68    615.0     2.0  \n",
       "165  0.780                          1.75    520.0     2.0  \n",
       "166  0.850                          1.56    695.0     2.0  \n",
       "167  0.720                          1.75    685.0     2.0  \n",
       "168  0.740                          1.80    750.0     2.0  \n",
       "169  0.670                          1.92    630.0     2.0  \n",
       "170  0.660                          1.83    510.0     2.0  \n",
       "171  0.570                          1.63    470.0     2.0  \n",
       "172  0.620                          1.71    660.0     2.0  \n",
       "173  0.640                          1.74    740.0     2.0  \n",
       "174  0.700                          1.56    750.0     2.0  \n",
       "175  0.590                          1.56    835.0     2.0  \n",
       "176  0.600                          1.62    840.0     2.0  \n",
       "177  0.610                          1.60    560.0     2.0  "
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "betterwinedf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 340
    },
    "colab_type": "code",
    "id": "DsFBrzqW_D_Q",
    "outputId": "ec3f7188-4280-42f3-8d15-53756a0c0d91"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "betterwinedf.plot(kind='scatter', \n",
    "              x = 'total_phenols', \n",
    "              y = 'color_intensity', \n",
    "              c='target',\n",
    "              cmap=plt.cm.get_cmap('spring',3));"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "C9Jusitwr_Jm"
   },
   "source": [
    "# Visualize Data better with Matplotlib"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "k0XnVoDe-lkL"
   },
   "source": [
    "Using the `.plot` feature on a dataframe is a great quick way to look at your data. \n",
    "You probably noticed that it even used the `matplotlib` library. You can take even more control of your visualization using libraries like [Matplotlib](https://matplotlib.org/) or [Seaborn](https://seaborn.pydata.org/index.html)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "11d9LMXvRZQw"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x640 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "%matplotlib inline\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# choose x & y index values. \n",
    "# Remember our list looks like this\n",
    "# ['sepal length (cm)',\n",
    "#  'sepal width (cm)',\n",
    "#  'petal length (cm)',\n",
    "#  'petal width (cm)']\n",
    "\n",
    "# 0 = sepal length (cm)\n",
    "# 3 = petal width (cm)\n",
    "x_index = 0\n",
    "y_index = 3\n",
    "\n",
    "# this formatter will label the colorbar with the correct target names\n",
    "# Look up lambda functions in python, they're neat!\n",
    "formatter = plt.FuncFormatter(lambda i, *args: iris.target_names[int(i)])\n",
    "\n",
    "\n",
    "# figsize: width, height Inches\n",
    "#dpi: Dots per inch\n",
    "plt.figure( figsize=(10, 8), dpi=80)\n",
    "\n",
    "plt.scatter(iris.data[:, x_index], iris.data[:, y_index],\n",
    "            c=iris.target, cmap=plt.cm.get_cmap('spring', 3))\n",
    "\n",
    "plt.colorbar(ticks=[0, 1, 2], format=formatter)\n",
    "#plt.clim(-0.5, 2.5)\n",
    "plt.xlabel(iris.feature_names[x_index])\n",
    "plt.ylabel(iris.feature_names[y_index]);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "pu2RQOvXAFxZ"
   },
   "source": [
    "Take a couple minutes and play around with numbers above to see how the chart changes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "Br8uxIOosOY0"
   },
   "source": [
    "# Machine Learning with Scikit learn\n",
    "\n",
    "We don't have the time to dive super deep into machine learning, but this will give you a quick overview and some ideas of how to start using machine learning\n",
    "\n",
    "We're going to use a machine learning model called `k-nearest neighbors ` or k-NN for short."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "O7LfeBGhVkcP"
   },
   "source": [
    "# Why K-NN\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "DyrCB9lZVBto"
   },
   "source": [
    "\n",
    "We want to predict the PROBABILITY of the flower type\n",
    "\n",
    "We're going to use k-nearest neighbors also referred to as knn\n",
    "\n",
    "knn takes the 'k' nearest categorized values to uncategorized data and assigns the majority value to the data its trying to categorize. You should be able to see why this model makes sense from our data analysis!\n",
    "\n",
    "The example below has the value 4 for 'k'. So we look at the 4 nearest neighboring data points. 3 of of them are labeled versicolor. So we would assign a high probability that our new data point should be labeled versicolor!\n",
    "\n",
    "\n",
    "![k-NN](https://github.com/sagecodes/intro-machine-learning/blob/master/img/knn4.png?raw=true)\n",
    "\n",
    "\n",
    "These lines are hand drawn and not 100% accurate but you could imagine the predictions falling into the categories like this\n",
    "\n",
    "![k-NN](https://github.com/sagecodes/intro-machine-learning/raw/master/img/predictsegments.png)\n",
    "\n",
    "\n",
    "3d exmaple here:\n",
    "\n",
    "https://scikit-learn.org/stable/auto_examples/datasets/plot_iris_dataset.html"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "-enLXercPjOP"
   },
   "source": [
    "# Training"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "0uMPJlp2WPkS"
   },
   "source": [
    "- Build the Classifier:\n",
    "- Import the neighbors model\n",
    "- Data is typically denoted as X while labels are denoted with y\n",
    "- assign our classifier with 'k' value to a variable\n",
    "- train(fit) our model\n",
    "- output the prediction\n",
    "- output the probability behind the prediction\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "tDWDcIMNPm7d"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([[1., 0., 0.]])"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn import neighbors\n",
    "\n",
    "x = iris.data\n",
    "y = iris.target\n",
    "\n",
    "knn = neighbors.KNeighborsClassifier(n_neighbors=3)\n",
    "\n",
    "#pass features and labels into model\n",
    "knn.fit(x, y)\n",
    "\n",
    "# What kind of iris has 3cm x 5cm sepal and 4cm x 2cm petal?\n",
    "# 0 = setosa' 1 = 'versicolor' 2 = 'virginica']\n",
    "# Data: sepal length, sepal width, petal length, petal width\n",
    "\n",
    "# Comment / Uncoomment different flowers below to see the prediction. \n",
    "# test_flower = [3, 5, 4, 2]\n",
    "test_flower = [5.1, 3.5, 1.4, .2]\n",
    "# test_flower = [5.1, 4.5, 2.8, 2]\n",
    "\n",
    "result = knn.predict([test_flower])\n",
    "print(result)\n",
    "\n",
    "\n",
    "knn.predict_proba([test_flower])\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "3niIo8BDBupk"
   },
   "outputs": [],
   "source": [
    "# Lets make it into a dataframe so we can read it better\n",
    "\n",
    "pred = knn.predict_proba([test_flower])\n",
    "\n",
    "preddf = pd.DataFrame(pred, columns=iris.target_names)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "sVNSqor8B8I2"
   },
   "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>setosa</th>\n",
       "      <th>versicolor</th>\n",
       "      <th>virginica</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   setosa  versicolor  virginica\n",
       "0     1.0         0.0        0.0"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# output DataFrame\n",
    "preddf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "iXIVmjNwCNG7"
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Lets make it a chart so we can read even more easily!\n",
    "preddf.plot(kind='bar');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "qkCi0_vamgbx"
   },
   "source": [
    "Train test Split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "299uEoGNPr0k"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Predictions: \n",
      " [2 2 2 2 1 0 1 0 0 1 0 2 0 2 2 0 0 0 1 0 2 2 2 0 1 1 1 0 0 1 2 2 0 0 1 2 2\n",
      " 1 1 2 1 1 0 2 1]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.9777777777777777"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "x_train, x_test, y_train, y_test = train_test_split(x, y, \n",
    "                                                    test_size=0.3,\n",
    "                                                    random_state=21, \n",
    "                                                    stratify=y)\n",
    "\n",
    "\n",
    "knn = neighbors.KNeighborsClassifier(n_neighbors=3)\n",
    "\n",
    "knn.fit(x_train, y_train)\n",
    "\n",
    "y_pred = knn.predict(x_test)\n",
    "\n",
    "print(\"Test Predictions: \\n {}\".format(y_pred))\n",
    "\n",
    "\n",
    "\n",
    "# Print accuracy\n",
    "knn.score(x_test, y_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Fin\n",
    "- random useful thing\n",
    "  - how to check the version of `sklearn`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "vKhX3f6btjnR"
   },
   "outputs": [],
   "source": [
    "# import sklearn with alias \n",
    "import sklearn as skl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'0.20.3'"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# check verson \n",
    "skl.__version__"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "4CVvAvXungrK"
   },
   "source": [
    "\n",
    "## Back to GitHub Repo:\n",
    "\n",
    "[https://github.com/gumdropsteve/intro-data-science](https://github.com/gumdropsteve/intro-data-science)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "colab": {
   "collapsed_sections": [
    "UWyzV6cVTA7q"
   ],
   "name": "intro_to_data_science_with_python.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": "3.7.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}