Stir_Research_Dataset_Analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "libraries imported !!!\n"
     ]
    }
   ],
   "source": [
    "#importing required libraries\n",
    "import numpy as np\n",
    "import pandas as pd \n",
    "import os\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "print(\"libraries imported !!!\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dataset imported !!!\n"
     ]
    }
   ],
   "source": [
    "dataset = pd.read_csv(r\"C:\\Users\\Shrishti D Hore\\OneDrive\\Documents\\Stir_Research\\corrosion_data_new.csv\")\n",
    "print(\"dataset imported !!!\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "\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>Experiment Number</th>\n",
       "      <th>Tool Profile (P)</th>\n",
       "      <th>Rotational Speed (N)</th>\n",
       "      <th>Welding Speed (S)</th>\n",
       "      <th>Axial Force (F)</th>\n",
       "      <th>Corrosion pit potential/mv</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "      <td>-572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "      <td>-591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>-1</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "      <td>-577</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "      <td>-594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>-575</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Experiment Number  Tool Profile (P)  Rotational Speed (N)  \\\n",
       "0                  1                -1                    -1   \n",
       "1                  2                 1                    -1   \n",
       "2                  3                -1                     1   \n",
       "3                  4                 1                     1   \n",
       "4                  5                -1                    -1   \n",
       "\n",
       "   Welding Speed (S)  Axial Force (F)  Corrosion pit potential/mv  \n",
       "0                 -1               -1                        -572  \n",
       "1                 -1               -1                        -591  \n",
       "2                 -1               -1                        -577  \n",
       "3                 -1               -1                        -594  \n",
       "4                  1               -1                        -575  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "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>Experiment Number</th>\n",
       "      <th>Tool Profile (P)</th>\n",
       "      <th>Rotational Speed (N)</th>\n",
       "      <th>Welding Speed (S)</th>\n",
       "      <th>Axial Force (F)</th>\n",
       "      <th>Corrosion pit potential/mv</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-582</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>28</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-581</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-588</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-587</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Experiment Number  Tool Profile (P)  Rotational Speed (N)  \\\n",
       "26                 27                 0                     0   \n",
       "27                 28                 0                     0   \n",
       "28                 29                 0                     0   \n",
       "29                 30                 0                     0   \n",
       "30                 31                 0                     0   \n",
       "\n",
       "    Welding Speed (S)  Axial Force (F)  Corrosion pit potential/mv  \n",
       "26                  0                0                        -582  \n",
       "27                  0                0                        -581  \n",
       "28                  0                0                        -591  \n",
       "29                  0                0                        -588  \n",
       "30                  0                0                        -587  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[-572 -591 -577 -594 -575 -587 -568 -589 -569 -592 -574 -588 -573 -593\n",
      " -576 -558 -554 -615 -557 -610 -551 -611 -618 -586 -590 -582 -581]\n"
     ]
    }
   ],
   "source": [
    "corrosion_resistance = dataset['Corrosion pit potential/mv'].unique()\n",
    "print(corrosion_resistance)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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rPQYAwF7jzBoAwMDEGgDAwMQaAMDAxBoAwMDEGgDAwMQaAMDAxBoAwMDEGgDAwMQaAMDA9qknGHx566fz8Uv++2qPAQzsoae8fLVHANgjzqwBAAxMrAEADEysAQAMTKwBAAxMrAEADEysAQAMTKwBAAxMrAEADEysAQAMTKwBAAxMrAEADEysAQAMTKwBAAxMrAEADEysAQAMbGGxVlUnV9XVVXVtVV2+ZPnrquqmqtpyl+3vX1Xvqqrrp++HLmpWAIBRLCTWquqQJK9J8pTuPi7JM5esfn2S71nmZf81ybu7+9gk755+BwC4V1nUmbVnJ7mwu29Iku6+aceK7n5vks8t85qnJnnD9PMbkjxt3kMCAIxmUbH2sCSHVtV7qupDVfUjK3jNA7r700kyfT9yrhMCAAxozQKP86gkj09yvyTvr6oPdPfHvtYdV9WmJJuS5Kgj1n2tuwMAGMrczqxV1RnTDQVXJ7kxyWXd/cXu/myS9yY5fje7+OeqeuC0rwcmuWm5jbr7/O7e0N0b7r/ugL35JwAArLq5xVp3n9fd67t7fZKLkpxYVWuqam2SRye5bje7eFuS50w/PyfJn8xrVgCAUS3kPWvdfV2Sy5J8JMlfJ/md7t6SJFV1QZL3J3l4VX2yqv7j9LJXJXliVV2f5InT7wAA9yqLes9auvvcJOcus/xZO9n+5sze4wYAcK/lCQYAAAMTawAAAxNrAAADE2sAAAMTawAAAxNrAAADE2sAAAMTawAAAxNrAAADE2sAAAMTawAAAxNrAAADE2sAAAMTawAAAxNrAAADW7PaA+xN9133wDz0lJev9hgAAHuNM2sAAAMTawAAAxNrAAADE2sAAAMTawAAAxNrAAADE2sAAAMTawAAAxNrAAAD26eeYHD7rTfmo3929mqPAQzsW5901mqPALBHnFkDABiYWAMAGJhYAwAYmFgDABiYWAMAGJhYAwAYmFgDABiYWAMAGJhYAwAYmFgDABiYWAMAGJhYAwAYmFgDABiYWAMAGJhYAwAYmFgDABjYQmKtqk6uqq1VdfX0deaSdS+sqi1VdW1VvWiZ1/7nquqqOnwRswIAjGTNAo91RXefunRBVT0iyXOTnJDkfye5rKre0d3XT+uPTvLEJDcscE4AgGGs9mXQb07yge6+rbu3J7k8ydOXrP/lJP8lSa/GcAAAq22Rsbaxqq6pqkur6rhp2ZYkJ1XVYVW1NskpSY5Okqp6SpJPdfc1u9ppVW2qqiur6spbtt421z8AAGDRFnUZ9Kokx3T3tqo6JcnFSY7t7uuq6ueTvCvJtiTXJNk+hdtPJ/nu3e24u89Pcn6SHPewo5yBAwD2KXM7s1ZVZ+y4oSDJgd29LUm6+5Ik++24YaC7X9vdj+zuk5J8Lsn1Sb4hyUOTXFNV/5Dk65NcVVVfN695AQBGNLcza919XpLzkqSqvq6qqru7qk7ILBJvntYd2d03VdWDkzwjycbuviXJkTv2NQXbhu7+7LzmBQAY0aIug56W5HlVtT3J7UlO7+4dlyzfWlWHJbkjyRlTqAEAkAXFWndvTrJ5J+tOXMHrH7K3ZwIAuCdY7Y/uAABgF8QaAMDAxBoAwMDEGgDAwMQaAMDAxBoAwMDEGgDAwMQaAMDAxBoAwMDEGgDAwMQaAMDAxBoAwMDEGgDAwMQaAMDA1qz2AHvT/Q4+Kt/6pLNWewwAgL3GmTUAgIGJNQCAgYk1AICBiTUAgIGJNQCAgYk1AICBiTUAgIGJNQCAgYk1AICBiTUAgIHtU4+b+uKtN+aD7/K4KWDnHv3Es1d7BIA94swaAMDAxBoAwMDEGgDAwMQaAMDAxBoAwMDEGgDAwMQaAMDAxBoAwMDEGgDAwMQaAMDAxBoAwMDEGgDAwMQaAMDAxBoAwMDEGgDAwBYSa1V1clVtraqrp68zl6x7YVVtqaprq+pFS5b/96r6yLT9O6vqqEXMCgAwkkWeWbuiu9dPX+ckSVU9Islzk5yQ5Pgkp1bVsdP253b3t3X3+iRvT3LmsnsFANiHrfZl0G9O8oHuvq27tye5PMnTk6S7b12y3QFJehXmAwBYVYuMtY1VdU1VXVpVx03LtiQ5qaoOq6q1SU5JcvSOF1TVz1XVPyb5wTizBgDcCy0q1q5Kckx3H5/k15NcnCTdfV2Sn0/yriSXJbkmyfYdL+run+7uo5O8Mcnzl9txVW2qqiur6srPb71tvn8FAMCCzS3WquqMHTcUJDmwu7clSXdfkmS/qjp8+v213f3I7j4pyeeSXL/M7v4wyb9f7jjdfX53b+juDYesWzufPwYAYJXMLda6+7wdNxQkubOqKkmq6oTpuDdPvx85fX9wkmckuWD6/dglu3tKkr+d16wAAKNas6DjnJbkeVW1PcntSU7v7h03DLy1qg5LckeSM7r7lmn5q6rq4UnuTPKJJD+5oFkBAIaxkFjr7s1JNu9k3Yk7Wb7sZU8AgHuT1f7oDgAAdkGsAQAMTKwBAAxMrAEADEysAQAMTKwBAAxMrAEADEysAQAMTKwBAAxMrAEADEysAQAMTKwBAAxMrAEADEysAQAMTKwBAAxszWoPsDcdcPBRefQTz17tMQAA9hpn1gAABibWAAAGJtYAAAYm1gAABibWAAAGJtYAAAYm1gAABibWAAAGJtYAAAa2Tz3B4Au33pi/+PMzV3sMYGCPe8I5qz0CwB5xZg0AYGBiDQBgYGINAGBgYg0AYGBiDQBgYGINAGBgYg0AYGBiDQBgYGINAGBgYg0AYGBiDQBgYGINAGBgYg0AYGBiDQBgYGINAGBgC4m1qjq5qrZW1dXT15lL1r2wqrZU1bVV9aIly8+tqr+tqo9U1UVVdcgiZgUAGMkiz6xd0d3rp69zkqSqHpHkuUlOSHJ8klOr6thp+3cleUR3f1uSjyV52QJnBQAYwmpfBv3mJB/o7tu6e3uSy5M8PUm6+53TsiT5QJKvX6UZAQBWzSJjbWNVXVNVl1bVcdOyLUlOqqrDqmptklOSHL3Ma38syaWLGhQAYBRrFnScq5Ic093bquqUJBcnOba7r6uqn8/skue2JNck2b70hVX109OyNy6346ralGRTkhx55Lr5/QUAAKtgbmfWquqMHTcUJDmwu7clSXdfkmS/qjp8+v213f3I7j4pyeeSXL9kH89JcmqSH+zuXu443X1+d2/o7g2HrFs7rz8HAGBVzC3Wuvu8HTcUJLmzqipJquqE6bg3T78fOX1/cJJnJLlg+v17krw0yVO6+7Z5zQkAMLJFXQY9Lcnzqmp7ktuTnL7kTNlbq+qwJHckOaO7b5mWb05y3yTvmjrvA939kwuaFwBgCAuJte7enFl8LbfuxJ0s/8a5DgUAcA+w2h/dAQDALog1AICBiTUAgIGJNQCAgYk1AICBiTUAgIGJNQCAgYk1AICBiTUAgIGJNQCAgYk1AICBiTUAgIGJNQCAgYk1AICBiTUAgIGtWe0B9qaDDj4qj3vCOas9BgDAXuPMGgDAwMQaAMDAxBoAwMDEGgDAwMQaAMDAxBoAwMDEGgDAwMQaAMDAxBoAwMD2qScYbP3CjXnHX5652mMAAPdQT/6u8Z6E5MwaAMDAxBoAwMDEGgDAwMQaAMDAxBoAwMDEGgDAwMQaAMDAxBoAwMDEGgDAwMQaAMDAxBoAwMDEGgDAwMQaAMDAxBoAwMDEGgDAwMQaAMDAFhJrVXVyVW2tqqunrzOXrHthVW2pqmur6kVLlj9zWnZnVW1YxJwAAKNZs8BjXdHdpy5dUFWPSPLcJCck+d9JLquqd3T39Um2JHlGkt9a4IwAAENZ7cug35zkA919W3dvT3J5kqcnSXdf191/t6rTAQCsskXG2saquqaqLq2q46ZlW5KcVFWHVdXaJKckOXpPdlpVm6rqyqq6cuvW2/b2zAAAq2pRl0GvSnJMd2+rqlOSXJzk2O6+rqp+Psm7kmxLck2S7Xuy4+4+P8n5SXLsw4/qvTs2AMDqmtuZtao6Y8cNBUkO7O5tSdLdlyTZr6oOn35/bXc/srtPSvK5JNfPayYAgHuaucVad5/X3eu7e32SO6uqkqSqTpiOe/P0+5HT9wdndkPBBfOaCQDgnmZRl0FPS/K8qtqe5PYkp3f3jkuWb62qw5LckeSM7r4lSarq6Ul+PckRSd5RVVd395MWNC8AwBAWEmvdvTnJ5p2sO3Enyy9KctE85wIAGN1qf3QHAAC7INYAAAYm1gAABibWAAAGJtYAAAYm1gAABibWAAAGJtYAAAYm1gAABibWAAAGJtYAAAYm1gAABibWAAAGJtYAAAa2ZrUH2JvWHXRUnvxd56z2GAAAe40zawAAAxNrAAADE2sAAAMTawAAAxNrAAADE2sAAAMTawAAAxNrAAADE2sAAAMTawAAA9unHjf1uW035k1XnLnaYwADO/1Ej6QD7lmcWQMAGJhYAwAYmFgDABiYWAMAGJhYAwAYmFgDABiYWAMAGJhYAwAYmFgDABiYWAMAGJhYAwAYmFgDABiYWAMAGJhYAwAYmFgDABjYQmKtqk6uqq1VdfX0deaSdS+sqi1VdW1VvWjJ8vtX1buq6vrp+6GLmBUAYCSLPLN2RXevn77OSZKqekSS5yY5IcnxSU6tqmOn7f9rknd397FJ3j39DgBwr7Lal0G/OckHuvu27t6e5PIkT5/WPTXJG6af35DkaaswHwDAqlpkrG2sqmuq6tKqOm5atiXJSVV1WFWtTXJKkqOndQ/o7k8nyfT9yAXOCgAwhDULOs5VSY7p7m1VdUqSi5Mc293XVdXPJ3lXkm1JrkmyfU92XFWbkmxKksMfsG7vTg0AsMrmdmatqs7YcUNBkgO7e1uSdPclSfarqsOn31/b3Y/s7pOSfC7J9dMu/rmqHjjt64FJblruON19fndv6O4NBx2ydl5/DgDAqphbrHX3eTtuKEhyZ1VVklTVCdNxb55+P3L6/uAkz0hywbSLtyV5zvTzc5L8ybxmBQAY1aIug56W5HlVtT3J7UlO7+6e1r21qg5LckeSM7r7lmn5q5L8cVX9xyQ3JHnmgmYFABjGQmKtuzcn2byTdSfuZPnNSR4/z7kAAEa32h/dAQDALog1AICBiTUAgIGJNQCAgYk1AICBiTUAgIGJNQCAgYk1AICBiTUAgIGJNQCAgYk1AICBiTUAgIGJNQCAgYk1AICBiTUAgIGtWe0B9qb7H3hUTj/xnNUeAwBgr3FmDQBgYGINAGBgYg0AYGBiDQBgYGINAGBgYg0AYGBiDQBgYGINAGBgYg0AYGD71BMM/vmLN+ZX3n/Wao8BDOxFG89e7REA9ogzawAAAxNrAAADE2sAAAMTawAAAxNrAAADE2sAAAMTawAAAxNrAAADE2sAAAMTawAAAxNrAAADE2sAAAMTawAAAxNrAAADE2sAAANbSKxV1clVtbWqrp6+zlyy7sVVdW1VbamqC6pq/2n546rqqmn5G6pqzSJmBQAYySLPrF3R3eunr3OSpKoelOQFSTZ09yOS3CfJ6VX1r5K8Icnp0/JPJHnOAmcFABjCCJdB1yS533TmbG2SG5McluTL3f2xaZt3Jfn3qzQfAMCqWWSsbayqa6rq0qo6Lkm6+1NJXp3khiSfTrK1u9+Z5LNJ9quqDdNrT0ty9AJnBQAYwqJi7aokx3T38Ul+PcnFSVJVhyZ5apKHJjkqyQFV9UPd3UlOT/LLVfXXSb6QZPtyO66qTVV1ZVVd+cVbblvAnwIAsDhzi7WqOmPHDQVJDuzubUnS3Zdkdtbs8CRPSPLx7v5Md9+R5MIkj522e393n9jdJyR5b5LrlztOd5/f3Ru6e8MBh66d158DALAq5hZr3X3ejhsKktxZVZUkVXXCdNybM7v8+ZiqWjutf3yS66btjpy+3zfJS5P85rxmBQAY1aI+DuO0JM+rqu1Jbs/sLs9O8sGqektml0m3J/lwkvOn17ykqk7NLOx+o7v/YkGzAgAMYyGx1t2bk2zeybqzkpy1zPKXJHnJnEcDABjaCB/dAQDATog1AICBiTUAgIGJNQCAgYk1AICBiTUAgIGJNQCAgYk1AICBiTUAgIGJNQCAgYk1AICBiTUAgIGJNQCAgYk1AICBiTUAgIGtWe0B9qYHHHBUXrSC8I4eAAAgAElEQVTx7NUeAwBgr3FmDQBgYGINAGBgYg0AYGBiDQBgYGINAGBgYg0AYGBiDQBgYGINAGBgYg0AYGD71BMMbvziZ3LW+89f7TEAgHuoszduWu0R7saZNQCAgYk1AICBiTUAgIGJNQCAgYk1AICBiTUAgIGJNQCAgYk1AICBiTUAgIGJNQCAgYk1AICBiTUAgIGJNQCAgYk1AICBiTUAgIGJNQCAgS0k1qrq5KraWlVXT19nLln34qq6tqq2VNUFVbX/tPzxVXXVtP37quobFzErAMBIFnlm7YruXj99nZMkVfWgJC9IsqG7H5HkPklOn7b/jSQ/2N3rk/xhkp9Z4KwAAEMY4TLomiT3q6o1SdYmuXFa3kkOnn5et2Q5AMC9xpoFHmtjVV2TWXT95+6+trs/VVWvTnJDktuTvLO73zlt/+NJLqmq25PcmuQxy+20qjYl2ZQk6x5w/3n/DQAAC7WoM2tXJTmmu49P8utJLk6Sqjo0yVOTPDTJUUkOqKofml7z4iSndPfXJ/ndJL+03I67+/zu3tDdG9YeeuCc/wwAgMWaW6xV1Rk7bihIcmB3b0uS7r4kyX5VdXiSJyT5eHd/prvvSHJhksdW1RFJju/uD067+6Mkj53XrAAAo5pbrHX3eTtuKEhyZ1VVklTVCdNxb87s8udjqmrttP7xSa5LckuSdVX1sGl3T5yWAwDcqyzqPWunJXleVW3P7L1pp3d3J/lgVb0ls8uk25N8OMn53b29qp6b5K1VdWdm8fZjC5oVAGAYC4m17t6cZPNO1p2V5Kxlll+U5KI5jwYAMLQRProDAICdEGsAAAMTawAAAxNrAAADE2sAAAMTawAAAxNrAAADE2sAAAMTawAAAxNrAAADE2sAAAMTawAAAxNrAAADE2sAAANbs9oD7E1HHXBEzt64abXHAADYa5xZAwAYmFgDABiYWAMAGJhYAwAYmFgDABiYWAMAGJhYAwAYmFgDABiYWAMAGJhYAwAY2D71uKkbv3hLXvH+N6/2GADAPdQrNj5ztUe4G2fWAAAGJtYAAAYm1gAABibWAAAGJtYAAAYm1gAABibWAAAGJtYAAAYm1gAABibWAAAGJtYAAAYm1gAABibWAAAGJtYAAAYm1gAABraQWKuqk6tqa1VdPX2duWTdi6vq2qraUlUXVNX+0/Irlmx/Y1VdvIhZAQBGsmaBx7qiu09duqCqHpTkBUm+pbtvr6o/TnJ6ktd394lLtntrkj9Z4KwAAEMY4TLomiT3q6o1SdYmuXHpyqo6KMnjkjizBgDc6ywy1jZW1TVVdWlVHZck3f2pJK9OckOSTyfZ2t3vvMvrnp7k3d196wJnBQAYwqJi7aokx3T38Ul+PdNZsqo6NMlTkzw0yVFJDqiqH7rLa5+V5IKd7biqNlXVlVV15W236DkAYN8yt1irqjN23CCQ5MDu3pYk3X1Jkv2q6vAkT0jy8e7+THffkeTCJI9dso/DkpyQ5B07O053n9/dG7p7w9pDD57XnwMAsCrmFmvdfV53r+/u9UnurKpKkqo6YTruzZld/nxMVa2d1j8+yXVLdvPMJG/v7i/Na04AgJEt6m7Q05I8r6q2J7k9yend3Uk+WFVvyewy6fYkH05y/pLXnZ7kVQuaEQBgOAuJte7enGTzTtadleSsnaw7eY5jAQAMb4SP7gAAYCfEGgDAwMQaAMDAxBoAwMDEGgDAwMQaAMDAxBoAwMDEGgDAwMQaAMDAxBoAwMDEGgDAwMQaAMDAxBoAwMDEGgDAwMQaAMDA1qz2AHvTUQccmldsfOZqjwEAsNc4swYAMDCxBgAwMLEGADAwsQYAMDCxBgAwMLEGADAwsQYAMDCxBgAwMLEGADCwfeoJBjdu25qz/+odqz0GMLCzHvvk1R4BYI84swYAMDCxBgAwMLEGADAwsQYAMDCxBgAwMLEGADCw3cZaVb2tqp5dVQcsYiAAAP6vlZxZ+8Uk35Hkb6rqzVV1WlXtP+e5AADICj4Ut7svT3J5Vd0nyeOSPDfJ65IcPOfZAADu9Vb0BIOqul+S70vyA0kemeQN8xwKAICZ3cZaVf1RkkcnuSzJeUne0913znswAABWdmbtd5M8u7u/Mu9hAAD4l1YSa+9K8uSqesjS7bv7l+Y0EwAAk5XE2p8m+VKSjyZx+RMAYIFWEmtf393fNvdJAAC4m5V8ztqlVfXdX8tBqurkqtpaVVdPX2cuWffiqrq2qrZU1QU7PsOtZn6uqj5WVddV1Qu+lhkAAO6JVnJm7QNJLqqqf5XkjiSVpLt7Tz9n7YruPnXpgqp6UJIXJPmW7r69qv44yelJXp/kR5McneSbuvvOqjpyD48HAHCPt5JY+8UkG5N8tLt7TjPcr6ruSLI2yY3T8udldhfqnUnS3TfN4dgAAENbyWXQ65Ns2QuhtrGqrqmqS6vquCTp7k8leXWSG5J8OsnW7n7ntP03JPmBqrpyes2xX+PxAQDucVZyZu3TSd5TVZcm+fKOhXv40R1XJTmmu7dV1SlJLk5ybFUdmuSpSR6a5PNJ3lxVP9Tdf5Dkvkm+1N0bquoZmT3i6sS77riqNiXZlCTrHnDEHowEADC+lZxZ+3iSdyf510kOWvK1S1V1xo4bCpIc2N3bkqS7L0myX1UdnuQJST7e3Z/p7juSXJjksdMuPpnkrdPPFyVZ9o7U7j6/uzd094a1h6xbwZ8DAHDPsdMza1X1siSXdffZX82Ou/u8zB5Plar6uqqq7u6qOiGzSLw5s8ufj6mqtUluT/L4JFdOu7g4swfHvy7Jdyb52FczBwDAPdmuLoN+PMkLq+r4JNckuTTJO7v7lq/iOKcleV5Vbc8syk6f3gP3wap6S2aXSbcn+XCS86fXvCrJG6vqxUm2Jfnxr+K4AAD3aDuNte5+U5I3JUlV/dsk35Pkwqq6T5I/z+ys21+v5CDdvTnJ5p2sOyvJWcss/3ySJ69k/wAA+6qV3GCQ7v5wZme9XllVByd5YmZnulYUawAAfHV29Z61Z+zidd3dm+YwDwAAS+zqzNr37WJdZ3bnJgAAc7Sr96z9h0UOAgDA3a3oPWtV9eQkxyXZf8ey7j5nXkMBADCz2w/FrarfTPIDSf7fzB7i/swkx8x5LgAAsrInGDy2u38kyS3TB+RuTHL0fMcCACBZWazdPn2/raqOSnJHZs/yBABgzlbynrW3V9UhSc7N7EkDneR35joVAABJVhBr3f3fpx/fWlVvT7J/d2+d71gAACS7/lDcx3X3Xyz34bhVle72OWsAAHO2qzNr35nkL7L8h+P6UFwAgAXY1Yfi7ni4+jnd/fGl66rKDQYAAAuwkrtB37rMsrfs7UEAALi7Xb1n7Zsye2rBuru8b+3gLHmSAQAA87Or96w9PMmpSQ7Jv3zf2heSPHeeQ321jjpwXc567JNXewwAgL1mV+9Z+5Mkf1JVG7v7/QucCQCAyUo+FPfvq+q/JXnI0u27+8fmNRQAADMribU/SXJFkj9P8pX5jgMAwFIribW13f3SuU8CAMDdrOSjO95eVafMfRIAAO5mJbH2wsyC7UtVdWtVfaGqbp33YAAArOxB7gctYhAAAO5ut2fWauaHqurl0+9HV9UJ8x8NAICVXAZ9TZKNSZ49/b4tyXlzmwgAgP9jJXeDPrq7H1lVH06S7r6lqv71nOf6qty47dac/f/9+WqPAQzsrH/3hNUeAWCPrOTM2h1VdZ8knSRVdUSSO+c6FQAASVYWa7+W5KIkR1bVzyV5X5JXznUqAACSrOxu0DdW1YeSPD5JJXlad18398kAANh9rFXV73f3Dyf522WWAQAwRyu5DHrc0l+m9689aj7jAACw1E5jrapeVlVfSPJtS55c8IUkN2X2cHcAAOZsp7HW3a+cnl5wbncf3N0HTV+HdffLFjgjAMC91kpuMHhZVT0lyUnTovd099vnOxYAAMnKHjf1yswe5v4309cLp2UAAMzZSp5g8OQk67v7ziSpqjck+XASl0IBAOZsJXeDJskhS35eN49BAAC4u5WcWXtlkg9X1V9m9qG4J8VZNQCAhVjJDQYXVNV7knz7tOil3f1Pc50KAIAkKzuzliQbk3xHZg9zv09mzwoFAGDOVnI36GuS/GSSjybZkuQnquq8eQ8GAMDKzqx9Z5JHdHcn/+du0I/OdSoAAJKs7G7Qv0vy4CW/H53kI3tykKo6uaq2VtXV09eZS9a9uKquraotVXVBVe0/LX9jVf3dtPx1VbXfnhwTAGBfsJJYOyzJdVX1nulGg79JckRVva2q3rYHx7qiu9dPX+ckSVU9KMkLkmzo7kdk9n6406ft35jkm5J8a5L7JfnxPTgWAMA+YSWXQc/c/SZf8wz3q6o7kqxNcmOSdPclOzaoqr9O8vVzngMAYDgr+eiOy/fSsTZW1TWZxdh/7u5ru/tTVfXqJDckuT3JO7v7nUtfNF3+/OHMHnl1N1W1KcmmJFn3gCP30qgAAGNY6RMMvlZXJTmmu49P8utJLk6Sqjo0yVOTPDTJUUkOqKofustrX5Pkvd19xXI77u7zu3tDd29Ye4iHKwAA+5a5xVpVnbHjhoIkB3b3tuT/XN7cr6oOT/KEJB/v7s909x1JLkzy2CX7OCvJEUl+al5zAgCMbCWfs3a3y4/LLbur7j5vxw0FSe6sqppee8J03Jszu/z5mKpaO61/fJLrpu1+PMmTkjxrx0PkAQDubVZyZu05yyz70T08zmlJtkzvWfu1JKf3zAeTvCWzy6QfneY5f3rNbyZ5QJL33/XjPgAA7i12eoNBVT0rybOTPPQuH9FxUGZnxVasuzcn2byTdWclOWuZ5St9FBYAwD5rV0H0V0k+neTwJL+4ZPkXsocfigsAwFdnp7HW3Z9I8onMHuIOAMAq2NVl0Pd193dU1ReS9NJVSbq7D577dAAA93K7OrP2HdP3gxY3DgAAS63oTfxV9cgk35HZGbb3dfeH5zoVAABJVvY5a2cmeUNmD3Q/PMnrq+pn5j0YAAArO7P2rCT/tru/lCRV9arMPhftZ+c5GAAAK/tQ3H9Isv+S3++b5H/NZRoAAP6FlZxZ+3KSa6vqXZm9Z+2JSd5XVb+WJN39gjnOBwBwr7aSWLto+trhPfMZBQCAu9ptrHX3GxYxCAAAd7eS96wBALBKxBoAwMDEGgDAwHb7nrWqeliSlyQ5Zun23f24Oc71VTnqwINz1r97wmqPAQCw16zkbtA3J/nNJL+d5CvzHQcAgKVWEmvbu/s35j4JAAB3s5L3rP1pVf0/VfXAqrr/jq+5TwYAwIrOrD1n+v6SJcs6yb/Z++MAALDUSj4U96GLGAQAgLtbyd2g+yV5XpKTpkXvSfJb3X3HHOcCACAruwz6G0n2S/Ka6fcfnpb9+LyGAgBgZiWx9u3dffyS3/+iqq6Z10AA/3979x5t2VnWifr3mkrQpEJuxU2BgEhntLFNAUXaEMUEBE1OOnhJa9HaBy/HYE4UYw/plsMxHHU4dHgZtqZy1IjY6oCIpEnaS4JwADVigxZFBQIEgRAwRIEEklBJhK7kPX/sWbIodiW7ZK+1vtr1PGOssdf6vjnXfOfHqsUv35xzTQA+Zy1Xg95fVU/a96KqvjJ+bw0AYCHWMrP24iRvrqqbk1RW7mTwfXOtCgCAJGu7GvSNVfXkJKdkJazd1N2fmXtl/wK37dmTn3rL9csuAxjYy878hmWXAHBQDhjWqupZ3f2mqvr2/bqeVFXp7tfOuTYAgMPeg82sfWOSNyX5d6v0dRJhDQBgzg4Y1rr7ZdNf56cBACzJQ14NWlU/WlUPrxUvr6pdVfXcRRQHAHC4W8tPd3x/d9+d5LlJHpmVK0F/fq5VAQCQZG1hraa/5yb5ne6+YaYNAIA5WktYe3tVvT4rYe3PqurYJA/MtywAAJK1/SjuDyTZmuTm7r63qk6KH8UFAFiItfwo7gNV9dgk/6GqkuQvuvuP514ZAABruhr055P8aJL3TI8XVdXPzbswAADWdhj03CRbu/uBJKmq303yjiQvmWdhAACs7QKDJDl+5vlx8ygEAIAvtJaZtZ9L8o6qenNWfrLjmTGrBgCwEA8a1mrlioK/SvJ1SZ6elbD2X7r7HxdQGwDAYe9Bw1p3d1Vd091PS/JHC6oJAIDJWs5Ze2tVPf2L2UhVnVVVd1XV7ulx6Uzfj1XVu6vqxqq6sqq+dGr/4ar6QFV1VW35YrYPAHCoWss5a2cneWFVfTjJPVk5FNrd/bUHua3ru/u82Yaq+ookL0ry1d19X1X9YZLtSf5bkrck+ZMkf36Q2wEA2DDWEtbOWUANX1ZV/yvJ0UluS5LufkeSTD/ECwBwWHqoCwy+JMmfdvfXrMO2zqiqG7ISxn68u9/d3R+tql9K8pEk9yV5fXe/fh22BQCwITzoOWvTD+HeUFWP/yK3syvJyd19WpLLklyTJFV1QpLnJXliki9PckxVfc/BvHFVXVhVO6tq57133vlFlgkAMJa1XGDwmCTvrqo3VtUf7Xs81EpVdfG+CwqSbO7uPUnS3dcmOXK6aOCbknyouz/R3f8ryWuTPONgdqC7r+jubd297ejjj3/oFQAADiFrOWftp/4lb9zdlye5PEmq6tFVVdNPgZyelZB4R1YOf35dVR2dlcOgz06y81+yPQCAjeghZ9a6+y+S3JTk2Onx3qntYFyQ5MbpnLVfS7K9V7wtyVVZOUz6rqmeK5Kkql5UVbcmeWySd1bVyw9ymwAAh7yHnFmrqu9M8otZ+QmNSnJZVb24u69a60a6e0eSHQfoe1mSl63S/mtZCXYAAIettRwGfWmSp3f3x5Okqh6R5P/LyowYAABztJYLDL5kX1Cb3LHG9QAA+CKtZWbtdVX1Z0munF5/V5Lr5lcSAAD7PGRY6+4XV9W3J/n6rJyzdkV3Xz33ygAAOHBYq6qvSvKo7n5Ld782K7+Blqp6ZlU9qbs/uKgiAQAOVw927tl/TfLpVdrvnfoAAJizBwtrT+jud+7f2N07kzxhbhUBAPDPHiysfemD9H3ZehcCAMAXerCw9rdV9YP7N1bVDyR5+/xKAgBgnwe7GvSSJFdX1Xfnc+FsW5KjknzbvAsDAOBBwlp3fyzJM6rq7CRfMzX/aXe/aSGVAQCwpt9Ze3OSNy+gFgAA9uO2UQAAAxPWAAAGJqwBAAxsLTdyP2R8+ebNedmZ37DsMgAA1o2ZNQCAgQlrAAADE9YAAAYmrAEADExYAwAYmLAGADAwYQ0AYGDCGgDAwIQ1AICBbag7GPzDnnvyM2/5m2WXAQzsJ888fdklABwUM2sAAAMT1gAABiasAQAMTFgDABiYsAYAMDBhDQBgYMIaAMDAhDUAgIEJawAAAxPWAAAGJqwBAAxMWAMAGJiwBgAwMGENAGBgwhoAwMAWEtaq6qyququqdk+PS6f2U2badlfV3VV1ydT36pn2W6pq9yJqBQAYyaYFbuv67j5vtqG735dka5JU1RFJPprk6qnvu/YtV1W/nOSuxZUKADCGRYa1h/LsJB/s7g/PNlZVJfnOJM9aSlUAAEu0yHPWzqiqG6rquqo6dZX+7UmuXKX9G5J8rLvfP9/yAADGs6iwtivJyd19WpLLklwz21lVRyU5P8lrVln3+Vk9xO1b98Kq2llVO++58851LBkAYPnmFtaq6uJ9Fwgk2dzde5Kku69NcmRVbZlZ/Jwku7r7Y/u9x6Yk357k1QfaTndf0d3bunvbMccfv/47AgCwRHMLa919eXdv7e6tSR6Yzj1LVZ0+bfeOmcUPNHv2TUlu6u5b51UnAMDIFnWBwQVJLqqqvUnuS7K9uztJquroJM9J8sJV1jvQeWwAAIeFhYS17t6RZMcB+u5NctIB+r53jmUBAAzPHQwAAAYmrAEADExYAwAYmLAGADAwYQ0AYGDCGgDAwIQ1AICBCWsAAAMT1gAABiasAQAMTFgDABiYsAYAMDBhDQBgYMIaAMDAhDUAgIFtWnYB6+kxm4/JT555+rLLAABYN2bWAAAGJqwBAAxMWAMAGJiwBgAwMGENAGBgwhoAwMCENQCAgQlrAAADE9YAAAa2oe5g8A977svPvuVdyy4DGNhLz/w3yy4B4KCYWQMAGJiwBgAwMGENAGBgwhoAwMCENQCAgQlrAAADE9YAAAYmrAEADExYAwAYmLAGADAwYQ0AYGDCGgDAwIQ1AICBCWsAAAMT1gAABiasAQAMbCFhrarOqqq7qmr39Lh0aj9lpm13Vd1dVZfMrPcjVfW+qnp3Vf3CImoFABjJpgVu6/ruPm+2obvfl2RrklTVEUk+muTq6fXZSZ6X5Gu7+zNV9cgF1goAMISRDoM+O8kHu/vD0+uLkvx8d38mSbr740urDABgSRYZ1s6oqhuq6rqqOnWV/u1Jrpx5/a+SfENVva2q/qKqnr7am1bVhVW1s6p23nPnp+ZRNwDA0iwqrO1KcnJ3n5bksiTXzHZW1VFJzk/ympnmTUlOSPJ1SV6c5A+rqvZ/4+6+oru3dfe2Y44/YV71AwAsxdzCWlVdvO/CgSSbu3tPknT3tUmOrKotM4ufk2RXd39spu3WJK/tFX+T5IEks+sAAGx4cwtr3X15d2/t7q1JHtg3K1ZVp0/bvWNm8efn8w+BJiuzb8+a1vlXSY5Kcvu86gUAGNGirga9IMlFVbU3yX1Jtnd3J0lVHZ3kOUleuN86r0jyiqq6Mclnk7xg3zoAAIeLhYS17t6RZMcB+u5NctIq7Z9N8j1zLg0AYGgj/XQHAAD7EdYAAAYmrAEADExYAwAYmLAGADAwYQ0AYGDCGgDAwIQ1AICBCWsAAAMT1gAABiasAQAMTFgDABiYsAYAMDBhDQBgYJuWXcB6eszmL8tLz/w3yy4DAGDdmFkDABiYsAYAMDBhDQBgYMIaAMDAhDUAgIEJawAAAxPWAAAGJqwBAAxMWAMAGJiwBgAwsA11u6l/3POZ/NxbPrTsMoCBveTMJy67BICDYmYNAGBgwhoAwMCENQCAgQlrAAADE9YAAAYmrAEADExYAwAYmLAGADAwYQ0AYGDCGgDAwIQ1AICBCWsAAAMT1gAABiasAQAMTFgDABjYQsJaVZ1VVXdV1e7pcenUfspM2+6quruqLpn6/p+q+uhM37mLqBUAYCSbFrit67v7vNmG7n5fkq1JUlVHJPlokqtnFvmV7v6lxZUIADCWkQ6DPjvJB7v7w8suBABgFIsMa2dU1Q1VdV1VnbpK//YkV+7X9sNV9c6qekVVnbCAGgEAhrKosLYrycndfVqSy5JcM9tZVUclOT/Ja2aafz3Jk7JymPQfkvzyam9cVRdW1c6q2nnPnZ+cR+0AAEszt7BWVRfvuzggyebu3pMk3X1tkiOrasvM4uck2dXdH9vX0N0f6+77u/uBJL+V5PTVttPdV3T3tu7edszxJ85rdwAAlmJuYa27L+/urd29NckDVVVJUlWnT9u9Y2bx52e/Q6BV9ZiZl9+W5MZ51QoAMKpFXQ16QZKLqmpvkvuSbO/uTpKqOjrJc5K8cL91fqGqtibpJLes0g8AsOEtJKx1944kOw7Qd2+Sk1Zp/4/zrgsAYHQj/XQHAAD7EdYAAAYmrAEADExYAwAYmLAGADAwYQ0AYGDCGgDAwIQ1AICBCWsAAAMT1gAABiasAQAMTFgDABiYsAYAMDBhDQBgYMIaAMDANi27gPX06M0Py0vOfOKyywAAWDdm1gAABiasAQAMTFgDABiYsAYAMDBhDQBgYMIaAMDAhDUAgIEJawAAAxPWAAAGtqHuYPCJe/bmN//nJ5ZdBjCwF57xiGWXAHBQzKwBAAxMWAMAGJiwBgAwMGENAGBgwhoAwMCENQCAgQlrAAADE9YAAAYmrAEADExYAwAYmLAGADAwYQ0AYGDCGgDAwIQ1AICBCWsAAANbSFirqrOq6q6q2j09Lp3aT5lp211Vd1fVJfut++NV1VW1ZRG1AgCMZNMCt3V9d58329Dd70uyNUmq6ogkH01y9b7+qnpckuck+cgC6wQAGMZIh0GfneSD3f3hmbZfSfKfk/RySgIAWK5FhrUzquqGqrquqk5dpX97kiv3vaiq85N8tLtvWFiFAACDWdRh0F1JTu7uPVV1bpJrkjx5X2dVHZXk/CQvmV4fneSlSZ77UG9cVRcmuTBJTnzUY9e/cgCAJZrbzFpVXbzvwoEkm7t7T5J097VJjtzvgoFzkuzq7o9Nr5+U5IlJbqiqW5I8Nsmuqnr0/tvp7iu6e1t3b9t8wknz2h0AgKWY28xad1+e5PIkqapHV1V1d1fV6VkJiXfMLP78zBwC7e53JXnkvtdTYNvW3bfPq14AgBEt6jDoBUkuqqq9Se5Lsr27O/nnQ57PSfLCBdUCAHDIWEhY6+4dSXYcoO/eJA96/LK7nzCHsgAAhjfST3cAALAfYQ0AYGDCGgDAwIQ1AICBCWsAAAMT1gAABiasAQAMTFgDABiYsAYAMDBhDQBgYMIaAMDAhDUAgIEJawAAAxPWAAAGJqwBAAxs07ILWE+POGZTXnjGI5ZdBgDAujGzBgAwMGENAGBgwhoAwMCENQCAgQlrAAADE9YAAAYmrAEADExYAwAYmLAGADCwDXUHg7v23J/r/vpTyy4DGNg5zzhh2SUAHBQzawAAAxPWAAAGJqwBAAxMWAMAGJiwBgAwMGENAGBgwhoAwMCENQCAgQlrAAADE9YAAAYmrAEADExYAwAYmLAGADAwYQ0AYGDCGgDAwIQ1AICBLSSsVdVZVXVXVe2eHpdO7afMtO2uqrur6pKp72eq6p1T++ur6ssXUSsAwEg2LXBb13f3ebMN3f2+JFuTpKqOSPLRJFdP3b/Y3T859b0oyaVJfmhx5QIALN9Ih0GfneSD3f3hJOnuu2f6jknSS6kKAGCJFhnWzqiqG6rquqo6dZX+7UmunG2oqp+tqr9P8t1ZmVn7AlV1YVXtrKqdd2O8JnAAABs1SURBVN95+/pXDQCwRIsKa7uSnNzdpyW5LMk1s51VdVSS85O8Zra9u1/a3Y9L8sokP7zaG3f3Fd29rbu3Pfz4LXMpHgBgWeYW1qrq4n0XDiTZ3N17kqS7r01yZFXNJqtzkuzq7o8d4O1eleQ75lUrAMCo5hbWuvvy7t7a3VuTPFBVlSRVdfq03TtmFn9+vvAQ6JNnXp6f5KZ51QoAMKpFXQ16QZKLqmpvkvuSbO/uTpKqOjrJc5K8cL91fr6qTknyQJIPx5WgAMBhaCFhrbt3JNlxgL57k5y0SrvDngDAYW+kn+4AAGA/whoAwMCENQCAgQlrAAADE9YAAAYmrAEADExYAwAYmLAGADAwYQ0AYGDCGgDAwIQ1AICBCWsAAAMT1gAABiasAQAMbNOyC1hPx20+Iuc844RllwEAsG7MrAEADExYAwAYmLAGADAwYQ0AYGDCGgDAwIQ1AICBCWsAAAMT1gAABiasAQAMTFgDABjYhrrd1D177s/b/uquZZcBDOzffv1xyy4B4KCYWQMAGJiwBgAwMGENAGBgwhoAwMCENQCAgQlrAAADE9YAAAYmrAEADExYAwAYmLAGADAwYQ0AYGDCGgDAwIQ1AICBCWsAAAMT1gAABraQsFZVZ1XVXVW1e3pcOrWfMtO2u6rurqpLpr5frKqbquqdVXV1VR2/iFoBAEayyJm167t76/T46STp7vfta0vytCT3Jrl6Wv4NSb6mu782yd8leckCawUAGMJIh0GfneSD3f3hJOnu13f33qnvrUkeu7TKAACWZJFh7YyquqGqrquqU1fp357kygOs+/1JrptfaQAAY1pUWNuV5OTuPi3JZUmume2sqqOSnJ/kNfuvWFUvTbI3yStXe+OqurCqdlbVzjvvvGPdCwcAWKa5hbWqunjfhQNJNnf3niTp7muTHFlVW2YWPyfJru7+2H7v8YIk5yX57u7u1bbT3Vd097bu3nb88SfNZ2cAAJZkbmGtuy+fuXjggaqqJKmq06ftzk6DPT/7HQKtqm9J8l+SnN/d986rTgCAkW1a0HYuSHJRVe1Ncl+S7ftmyqrq6CTPSfLC/dbZkeRhSd4w5by3dvcPLaheAIAhLCSsdfeOrISv1fruTfIFxy+7+6vmXRcAwOhG+ukOAAD2I6wBAAxMWAMAGJiwBgAwMGENAGBgwhoAwMCENQCAgQlrAAADE9YAAAYmrAEADExYAwAYmLAGADAwYQ0AYGDCGgDAwIQ1AICBbVp2AevpmM1H5N9+/XHLLgMAYN2YWQMAGJiwBgAwMGENAGBgwhoAwMCENQCAgQlrAAADE9YAAAYmrAEADExYAwAY2Ia6g8E/ffr+vOdNdy27DGBgX/0sdzkBDi1m1gAABiasAQAMTFgDABiYsAYAMDBhDQBgYMIaAMDAhDUAgIEJawAAAxPWAAAGJqwBAAxMWAMAGJiwBgAwMGENAGBgwhoAwMCENQCAgS0krFXVWVV1V1Xtnh6XzvQdX1VXVdVNVfXeqjpjaj+tqv5nVb2rqv64qh6+iFoBAEayaYHbur67z1ul/VeTvK67L6iqo5IcPbW/PMmPd/dfVNX3J3lxkp9cUK0AAENY6mHQabbsmUl+O0m6+7PdfefUfUqSv5yevyHJdyy+QgCA5VpkWDujqm6oquuq6tSp7SuTfCLJ71TVO6rq5VV1zNR3Y5Lzp+f/PsnjFlgrAMAQFhXWdiU5ubtPS3JZkmum9k1Jnprk17v7KUnuSfITU9/3J7m4qt6e5Ngkn13tjavqwqraWVU7P3nnHfPcBwCAhZtbWKuqi/ddUJBkc3fvSZLuvjbJkVW1JcmtSW7t7rdNq12VlfCW7r6pu5/b3U9LcmWSD662ne6+oru3dfe2E48/aV67AwCwFHMLa919eXdv7e6tSR6oqkqSqjp92u4d3f2PSf6+qk6ZVnt2kvdMyz1y+vslSf7vJL8xr1oBAEa1qKtBL0hyUVXtTXJfku3d3VPfjyR55XQl6M1Jvm9qf35VXTw9f22S31lQrQAAw1hIWOvuHUl2HKBvd5Jtq7T/alZ+1gMA4LDlDgYAAAMT1gAABiasAQAMTFgDABiYsAYAMDBhDQBgYMIaAMDAhDUAgIEJawAAAxPWAAAGJqwBAAxMWAMAGJiwBgAwMGENAGBgwhoAwMA2LbuA9fSlxx6Rr37WccsuAwBg3ZhZAwAYmLAGADAwYQ0AYGDCGgDAwIQ1AICBCWsAAAMT1gAABiasAQAMTFgDABjYhrqDwWfvuj8fufZTyy4DGNjjzz1h2SUAHBQzawAAAxPWAAAGJqwBAAxMWAMAGJiwBgAwMGENAGBgwhoAwMCENQCAgQlrAAADE9YAAAYmrAEADExYAwAYmLAGADAwYQ0AYGDCGgDAwIQ1AICBLSSsVdVZVXVXVe2eHpfO9B1fVVdV1U1V9d6qOmNq31pVb52W31lVpy+iVgCAkWxa4Lau7+7zVmn/1SSv6+4LquqoJEdP7b+Q5Ke6+7qqOnd6fdZiSgUAGMMiw9oXqKqHJ3lmku9Nku7+bJLPTt2d5OHT8+OS3Lbo+gAAlm2R56ydUVU3VNV1VXXq1PaVST6R5Heq6h1V9fKqOmbquyTJL1bV3yf5pSQvWe1Nq+rC6TDpzk/edfvcdwIAYJEWFdZ2JTm5u09LclmSa6b2TUmemuTXu/spSe5J8hNT30VJfqy7H5fkx5L89mpv3N1XdPe27t524nFb5rkPAAALN7ewVlUX77ugIMnm7t6TJN19bZIjq2pLkluT3Nrdb5tWuyor4S1JXpDktdPz1yRxgQEAcNiZW1jr7su7e2t3b03yQFVVkkxXdX5Jkju6+x+T/H1VnTKt9uwk75me35bkG6fnz0ry/nnVCgAwqkVdYHBBkouqam+S+5Js7+6e+n4kySunK0FvTvJ9U/sPJvnVqtqU5J+SXLigWgEAhrGQsNbdO5LsOEDf7iTbVmn/qyRPm3NpAABDcwcDAICBCWsAAAMT1gAABiasAQAMTFgDABiYsAYAMDBhDQBgYMIaAMDAhDUAgIEJawAAAxPWAAAGJqwBAAxMWAMAGJiwBgAwsE3LLmA9HXXcEXn8uScsuwwAgHVjZg0AYGDCGgDAwIQ1AICBCWsAAAMT1gAABiasAQAMTFgDABiYsAYAMDBhDQBgYMIaAMDANtTtpvZ+am8++d9vX3YZAMAh6sTv2LLsEr6AmTUAgIEJawAAAxPWAAAGJqwBAAxMWAMAGJiwBgAwMGENAGBgwhoAwMCENQCAgQlrAAADE9YAAAYmrAEADExYAwAYmLAGADAwYQ0AYGALCWtVdVZV3VVVu6fHpTN9t1TVu6b2nTPtW6vqrfvaq+r0RdQKADCSTQvc1vXdfd4B+s7u7tv3a/uFJD/V3ddV1bnT67PmWSAAwGhGPgzaSR4+PT8uyW1LrAUAYCkWObN2RlXdkJXQ9ePd/e6pvZO8vqo6yW929xVT+yVJ/qyqfikrofIZC6wVAGAIi5pZ25Xk5O4+LcllSa6Z6Tuzu5+a5JwkF1fVM6f2i5L8WHc/LsmPJfnt1d64qi6czmnbecfdd8xvDwAAlmBuYa2qLt53QUGSzd29J0m6+9okR1bVlun1bdPfjye5Osm+CwlekOS10/PXzLR/nu6+oru3dfe2kx5+0rx2BwBgKeYW1rr78u7e2t1bkzxQVZUk01WdX5Lkjqo6pqqOndqPSfLcJDdOb3Fbkm+cnj8ryfvnVSsAwKgWdc7aBUkuqqq9Se5Lsr27u6oeleTqKcdtSvKq7n7dtM4PJvnVqtqU5J+SXLigWgEAhrGQsNbdO5LsWKX95iSnHWCdv0rytDmXBgAwtJF/ugMA4LAnrAEADExYAwAYmLAGADAwYQ0AYGDCGgDAwIQ1AICBCWsAAAMT1gAABiasAQAMTFgDABiYsAYAMDBhDQBgYMIaAMDAhDUAgIFtWnYB62nTCZty4ndsWXYZAADrxswaAMDAhDUAgIEJawAAAxPWAAAGJqwBAAxMWAMAGJiwBgAwMGENAGBgwhoAwMA21B0M7r/zM/nUNR9adhnAwE741icuuwSAg2JmDQBgYMIaAMDAhDUAgIEJawAAAxPWAAAGJqwBAAxMWAMAGJiwBgAwMGENAGBgwhoAwMCENQCAgQlrAAADE9YAAAYmrAEADExYAwAY2KZFbKSqzkryP5J8aGp6bXf/9NR3S5JPJ7k/yd7u3ja1vzrJKdPyxye5s7u3LqJeAIBRLCSsTa7v7vMO0Hd2d98+29Dd37XveVX9cpK75lkcAMCIFhnW/kWqqpJ8Z5JnLbsWAIBFW+Q5a2dU1Q1VdV1VnTrT3kleX1Vvr6oLV1nvG5J8rLvfv5gyAQDGsaiZtV1JTu7uPVV1bpJrkjx56juzu2+rqkcmeUNV3dTdfzmz7vOTXHmgN54C3oVJ8thHfPl8qgcAWJK5zaxV1cVVtbuqdifZ3N17kqS7r01yZFVtmV7fNv39eJKrk5w+8x6bknx7klcfaDvdfUV3b+vubVsefuK8dgcAYCnmFta6+/Lu3jpdwfnAdO5Zqur0abt3VNUxVXXs1H5MkucmuXHmbb4pyU3dfeu86gQAGNmiDoNekOSiqtqb5L4k27u7q+pRSa6ectymJK/q7tfNrLc9D3IIFABgo1tIWOvuHUl2rNJ+c5LTHmS9751jWQAAw3MHAwCAgQlrAAADE9YAAAYmrAEADExYAwAYmLAGADAwYQ0AYGDCGgDAwIQ1AICBCWsAAAMT1gAABiasAQAMTFgDABiYsAYAMDBhDQBgYJuWXcB6OuL4h+WEb33isssAAFg3ZtYAAAYmrAEADExYAwAYmLAGADAwYQ0AYGDCGgDAwIQ1AICBCWsAAAMT1gAABrah7mBw/5335VN/9O5llwEM7ITzT112CQAHxcwaAMDAhDUAgIEJawAAAxPWAAAGJqwBAAxMWAMAGJiwBgAwMGENAGBgwhoAwMCENQCAgQlrAAADE9YAAAYmrAEADExYAwAYmLAGADAwYQ0AYGALCWtVdVZV3VVVu6fHpTN9t1TVu6b2naus++NV1VW1ZRG1AgCMZNMCt3V9d593gL6zu/v2/Rur6nFJnpPkI3OtDABgUKMfBv2VJP85SS+7EACAZVhkWDujqm6oquuq6tSZ9k7y+qp6e1VduK+xqs5P8tHuvuHB3rSqLqyqnVW18/a7PzWn0gEAlmNRh0F3JTm5u/dU1blJrkny5KnvzO6+raoemeQNVXVTkp1JXprkuQ/1xt19RZIrkuQpX3WqGTgAYEOZ28xaVV2874KCJJu7e0+SdPe1SY7cd8FAd982/f14kquTnJ7kSUmemOSGqrolyWOT7KqqR8+rXgCAEc0trHX35d29tbu3JnmgqipJqur0abt3VNUxVXXs1H5MVmbSbuzud3X3I7v7Cd39hCS3Jnlqd//jvOoFABjRog6DXpDkoqram+S+JNu7u6vqUUmunnLcpiSv6u7XLagmAIDhLSSsdfeOJDtWab85yWlrWP8JcygLAGB4o/90BwDAYU1YAwAYmLAGADAwYQ0AYGDCGgDAwIQ1AICBCWsAAAMT1gAABiasAQAMTFgDABiYsAYAMDBhDQBgYMIaAMDAhDUAgIFtWnYB6+mI478sJ5x/6rLLAABYN2bWAAAGJqwBAAxMWAMAGJiwBgAwMGENAGBgwhoAwMCENQCAgQlrAAADE9YAAAYmrAEADGxD3W7q/rvuyZ1/8rfLLgMY2PHnPX3ZJQAcFDNrAAADE9YAAAYmrAEADExYAwAYmLAGADAwYQ0AYGDCGgDAwIQ1AICBCWsAAAMT1gAABiasAQAMTFgDABiYsAYAMDBhDQBgYMIaAMDAFhLWquqsqrqrqnZPj0tn+m6pqndN7Ttn2v99Vb27qh6oqm2LqBMAYDSbFrit67v7vAP0nd3dt+/XdmOSb0/ym/MtCwBgXIsMawelu9+bJFW17FIAAJZmkeesnVFVN1TVdVV16kx7J3l9Vb29qi5cYD0AAMNb1MzariQnd/eeqjo3yTVJnjz1ndndt1XVI5O8oapu6u6/XOsbTwHvwiR57CMevd51AwAs1dxm1qrq4n0XFCTZ3N17kqS7r01yZFVtmV7fNv39eJKrk5x+MNvp7iu6e1t3b9ty3PHruxMAAEs2t7DW3Zd399bu3prkgZpOPquq06ft3lFVx1TVsVP7MUmem5ULCwAAyOIOg16Q5KKq2pvkviTbu7ur6lFJrp5y3KYkr+ru1yVJVX1bksuSPCLJn1bV7u7+5gXVCwAwhIWEte7ekWTHKu03JzntAOtcnZXDogAAhy13MAAAGJiwBgAwMGENAGBgwhoAwMCENQCAgQlrAAADE9YAAAYmrAEADExYAwAYmLAGADAwYQ0AYGDCGgDAwIQ1AICBCWsAAAMT1gAABrZp2QWspyOOOybHn/f0ZZcBALBuzKwBAAxMWAMAGJiwBgAwMGENAGBg1d3LrmHdVNWnk7xv2XUMYEuS25ddxCCMxQrj8DnGYoVx+BxjscI4rFjkOJzc3Y94qIU21NWgSd7X3duWXcSyVdVO47DCWKwwDp9jLFYYh88xFiuMw4oRx8FhUACAgQlrAAAD22hh7YplFzAI4/A5xmKFcfgcY7HCOHyOsVhhHFYMNw4b6gIDAICNZqPNrAEAbCiHTFirqm+pqvdV1Qeq6idW6X9YVb166n9bVT1hpu8lU/v7quqbF1n3elvDOPynqnpPVb2zqt5YVSfP9N1fVbunxx8ttvL1tYZx+N6q+sTM/v4fM30vqKr3T48XLLby9beGsfiVmXH4u6q6c6ZvI30mXlFVH6+qGw/QX1X1a9M4vbOqnjrTt2E+E2sYh++e9v+dVfXXVXXaTN8tVfWu6fOwc3FVz8caxuKsqrpr5t/ApTN9D/rv6lCyhnF48cwY3Dh9L5w49W2Yz0RVPa6q3lxV762qd1fVj66yzJjfE909/CPJEUk+mOQrkxyV5IYkX73fMv9nkt+Ynm9P8urp+VdPyz8syROn9zli2fs0x3E4O8nR0/OL9o3D9HrPsvdhgePwvUl2rLLuiUlunv6eMD0/Ydn7NM+x2G/5H0nyio32mZj25ZlJnprkxgP0n5vkuiSV5OuSvG2DfiYeahyesW//kpyzbxym17ck2bLsfVjgWJyV5E9WaT+of1ejPx5qHPZb9t8ledNG/EwkeUySp07Pj03yd6v8f8eQ3xOHysza6Uk+0N03d/dnk/xBkuftt8zzkvzu9PyqJM+uqpra/6C7P9PdH0rygen9DkUPOQ7d/ebuvnd6+dYkj11wjYuwls/DgXxzkjd09ye7+1NJ3pDkW+ZU5yIc7Fg8P8mVC6lswbr7L5N88kEWeV6S3+sVb01yfFU9JhvsM/FQ49Ddfz3tZ7JxvyOSrOkzcSBfzHfMcA5yHDbyd8Q/dPeu6fmnk7w3yVfst9iQ3xOHSlj7iiR/P/P61nzhAP/zMt29N8ldSU5a47qHioPdlx/Iyn8h7POlVbWzqt5aVd86jwIXZK3j8B3TNPZVVfW4g1z3ULHm/ZkOiT8xyZtmmjfKZ2ItDjRWG+0zcTD2/47oJK+vqrdX1YVLqmnRzqiqG6rquqo6dWo7LD8TVXV0VgLIf59p3pCfiVo5VeopSd62X9eQ3xOHyh0MapW2/S9jPdAya1n3ULHmfamq70myLck3zjQ/vrtvq6qvTPKmqnpXd39wDnXO21rG4Y+TXNndn6mqH8rKrOuz1rjuoeRg9md7kqu6+/6Zto3ymViLw+E7Ys2q6uyshLWvn2k+c/o8PDLJG6rqpmlWZqPalZXb/eypqnOTXJPkyTlMPxNZOQT6lu6enYXbcJ+JqtqclUB6SXffvX/3Kqss/XviUJlZuzXJ42ZePzbJbQdapqo2JTkuK9O+a1n3ULGmfamqb0ry0iTnd/dn9rV3923T35uT/HlW/qviUPSQ49Ddd8zs+28ledpa1z3EHMz+bM9+hzc20GdiLQ40VhvtM/GQquprk7w8yfO6+4597TOfh48nuTqH7ikja9Ldd3f3nun5tUmOrKotOQw/E5MH+47YEJ+JqjoyK0Htld392lUWGfN7YlEnx30xj6zMAN6clUM4+072PHW/ZS7O519g8IfT81Pz+RcY3JxD9wKDtYzDU7JyYuyT92s/IcnDpudbkrw/h+gJs2sch8fMPP+2JG+dnp+Y5EPTeJwwPT9x2fs0z7GYljslKycK10b8TMzs0xNy4JPJ/7d8/onDf7MRPxNrGIfHZ+Xc3Wfs135MkmNnnv91km9Z9r7MeSweve/fRFZCyEemz8ea/l0dSo8HG4epf98ExzEb9TMx/W/7e0n+64MsM+T3xCFxGLS791bVDyf5s6xcpfOK7n53Vf10kp3d/UdJfjvJ71fVB7Lygds+rfvuqvrDJO9JsjfJxf35h4EOGWsch19MsjnJa1aur8hHuvv8JP86yW9W1QNZmVH9+e5+z1J25Iu0xnF4UVWdn5X/zT+ZlatD092frKqfSfK309v9dH/+lP8hZY1jkaycNPwHPX3rTDbMZyJJqurKrFzdt6Wqbk3ysiRHJkl3/0aSa7NypdcHktyb5Pumvg31mVjDOFyalfN5/9/pO2Jvr9y0+lFJrp7aNiV5VXe/buE7sI7WMBYXJLmoqvYmuS/J9unfyKr/rpawC+tiDeOQrPxH7eu7+56ZVTfaZ+LMJP8xybuqavfU9n9l5T9ghv6ecAcDAICBHSrnrAEAHJaENQCAgQlrAAADE9YAAAYmrAEADExYA1gnVXXJdMsegHXjpzsA1klV3ZJkW3ffvuxagI3DzBpwWKmq/72q3jndvPv3q+rkqnrj1PbGqnr8tNx/q6oLZtbbM/09q6r+vKquqqqbquqVteJFSb48yZur6s3L2TtgIzok7mAAsB6q6tSs3Df3zO6+vapOTPK7SX6vu3+3qr4/ya8l+daHeKunZOVWdrclecv0fr9WVf8pydlm1oD1ZGYNOJw8K8lV+8LUdLuYM5K8aur//SRfv4b3+ZvuvrW7H0iyOyv3XQSYC2ENOJxUkoc6UXdf/95M35G1cnPEo2aW+czM8/vjKAUwR8IacDh5Y5LvrKqTkmQ6DPrXSbZP/d+d5K+m57ckedr0/HmZbnz9ED6d5Nj1KhYg8V+DwGGku99dVT+b5C+q6v4k70jyoiSvqKoXJ/lEku+bFv+tJP+jqv4mKyHvnjVs4ook11XVP3T32eu/B8DhyE93AAAMzGFQAICBCWsAAAMT1gAABiasAQAMTFgDABiYsAYAMDBhDQBgYMIaAMDA/n+jhpLPjomuKgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 720x1800 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "alpha = 0.7\n",
    "plt.figure(figsize=(10,25))\n",
    "sns.countplot(y ='Corrosion pit potential/mv', data=dataset, alpha=alpha)\n",
    "plt.title('Corrosion Resistance')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1152x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16,7))\n",
    "Tool_Profile = sns.countplot(x='Tool Profile (P)', data=dataset)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1152x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16,7))\n",
    "Rotational_Speed = sns.countplot(x='Rotational Speed (N)', data=dataset)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1152x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16,7))\n",
    "Welding_Speed = sns.countplot(x='Welding Speed (S)', data=dataset)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1152x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16,7))\n",
    "Axial_Force = sns.countplot(x='Axial Force (F)', data=dataset)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16,7))\n",
    "Corrosion_Resistance = sns.countplot(x='Corrosion pit potential/mv', data=dataset)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,10))\n",
    "cor = sns.heatmap(dataset.corr(), annot=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,10))\n",
    "bar_age = sns.barplot(x='Experiment Number',y='Corrosion pit potential/mv',hue='Tool Profile (P)',data=dataset)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,10))\n",
    "bar_age = sns.barplot(x='Experiment Number',y='Corrosion pit potential/mv',hue='Rotational Speed (N)',data=dataset)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,10))\n",
    "bar_age = sns.barplot(x='Experiment Number',y='Corrosion pit potential/mv',hue='Welding Speed (S)',data=dataset)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,10))\n",
    "bar_age = sns.barplot(x='Experiment Number',y='Corrosion pit potential/mv',hue='Axial Force (F)',data=dataset)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}