PracticalSession.ipynb

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    "name": "ipython",
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
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 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Behind The Data - Kapil Panwar, SME Webinar @Mahindra Susten\n",
    "Github Link: [Repo](https://bit.ly/3hqDv3F)\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Package installation\n",
    "\n",
    "\n",
    "```bash\n",
    "\n",
    "!pip install numpy\n",
    "!pip install pandas\n",
    "!pip install matplotlib\n",
    "!pip install seaborn\n",
    "!pip install pandas_profiling\n",
    "\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Package initialization\n",
    "import numpy as np \n",
    "import pandas as pd \n",
    "import matplotlib.pyplot as plt \n",
    "import seaborn as sns \n",
    "sns.set()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": "\nINSTALLED VERSIONS\n------------------\ncommit           : None\npython           : 3.8.2.final.0\npython-bits      : 64\nOS               : Linux\nOS-release       : 5.4.0-42-generic\nmachine          : x86_64\nprocessor        : x86_64\nbyteorder        : little\nLC_ALL           : None\nLANG             : en_IN\nLOCALE           : en_IN.ISO8859-1\n\npandas           : 1.0.5\nnumpy            : 1.19.0\npytz             : 2019.3\ndateutil         : 2.7.3\npip              : 20.2.2\nsetuptools       : 45.2.0\nCython           : None\npytest           : None\nhypothesis       : None\nsphinx           : None\nblosc            : None\nfeather          : None\nxlsxwriter       : None\nlxml.etree       : 4.5.2\nhtml5lib         : None\npymysql          : None\npsycopg2         : None\njinja2           : 2.11.2\nIPython          : 7.16.1\npandas_datareader: None\nbs4              : None\nbottleneck       : None\nfastparquet      : None\ngcsfs            : None\nlxml.etree       : 4.5.2\nmatplotlib       : 3.2.2\nnumexpr          : 2.7.1\nodfpy            : None\nopenpyxl         : 3.0.4\npandas_gbq       : None\npyarrow          : 0.17.1\npytables         : None\npytest           : None\npyxlsb           : None\ns3fs             : 0.2.2\nscipy            : 1.5.0\nsqlalchemy       : None\ntables           : 3.6.1\ntabulate         : 0.8.7\nxarray           : 0.16.0\nxlrd             : 1.2.0\nxlwt             : None\nxlsxwriter       : None\nnumba            : 0.50.1\n"
    }
   ],
   "source": [
    "# Checking OS and Python details\n",
    "pd.show_versions()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Reading DataSet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"iris.csv\", sep = \",\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": "   SepalLengthCm  SepalWidthCm  PetalLengthCm  PetalWidthCm      Species\n0            5.1           3.5            1.4           0.2  Iris-setosa\n1            4.9           3.0            1.4           0.2  Iris-setosa\n2            4.7           3.2            1.3           0.2  Iris-setosa\n3            4.6           3.1            1.5           0.2  Iris-setosa\n4            5.0           3.6            1.4           0.2  Iris-setosa",
      "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>SepalLengthCm</th>\n      <th>SepalWidthCm</th>\n      <th>PetalLengthCm</th>\n      <th>PetalWidthCm</th>\n      <th>Species</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>5.1</td>\n      <td>3.5</td>\n      <td>1.4</td>\n      <td>0.2</td>\n      <td>Iris-setosa</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>4.9</td>\n      <td>3.0</td>\n      <td>1.4</td>\n      <td>0.2</td>\n      <td>Iris-setosa</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>4.7</td>\n      <td>3.2</td>\n      <td>1.3</td>\n      <td>0.2</td>\n      <td>Iris-setosa</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>4.6</td>\n      <td>3.1</td>\n      <td>1.5</td>\n      <td>0.2</td>\n      <td>Iris-setosa</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>5.0</td>\n      <td>3.6</td>\n      <td>1.4</td>\n      <td>0.2</td>\n      <td>Iris-setosa</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "metadata": {},
     "execution_count": 9
    }
   ],
   "source": [
    "#Checking Data Details\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": "(150, 5)"
     },
     "metadata": {},
     "execution_count": 10
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": "['SepalLengthCm', 'SepalWidthCm', 'PetalLengthCm', 'PetalWidthCm', 'Species']"
     },
     "metadata": {},
     "execution_count": 11
    }
   ],
   "source": [
    "df.keys().tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": "<class 'pandas.core.frame.DataFrame'>\nRangeIndex: 150 entries, 0 to 149\nData columns (total 5 columns):\n #   Column         Non-Null Count  Dtype  \n---  ------         --------------  -----  \n 0   SepalLengthCm  150 non-null    float64\n 1   SepalWidthCm   150 non-null    float64\n 2   PetalLengthCm  150 non-null    float64\n 3   PetalWidthCm   150 non-null    float64\n 4   Species        150 non-null    object \ndtypes: float64(4), object(1)\nmemory usage: 6.0+ KB\n"
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": "       SepalLengthCm  SepalWidthCm  PetalLengthCm  PetalWidthCm\ncount     150.000000    150.000000     150.000000    150.000000\nmean        5.843333      3.054000       3.758667      1.198667\nstd         0.828066      0.433594       1.764420      0.763161\nmin         4.300000      2.000000       1.000000      0.100000\n25%         5.100000      2.800000       1.600000      0.300000\n50%         5.800000      3.000000       4.350000      1.300000\n75%         6.400000      3.300000       5.100000      1.800000\nmax         7.900000      4.400000       6.900000      2.500000",
      "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>SepalLengthCm</th>\n      <th>SepalWidthCm</th>\n      <th>PetalLengthCm</th>\n      <th>PetalWidthCm</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>count</th>\n      <td>150.000000</td>\n      <td>150.000000</td>\n      <td>150.000000</td>\n      <td>150.000000</td>\n    </tr>\n    <tr>\n      <th>mean</th>\n      <td>5.843333</td>\n      <td>3.054000</td>\n      <td>3.758667</td>\n      <td>1.198667</td>\n    </tr>\n    <tr>\n      <th>std</th>\n      <td>0.828066</td>\n      <td>0.433594</td>\n      <td>1.764420</td>\n      <td>0.763161</td>\n    </tr>\n    <tr>\n      <th>min</th>\n      <td>4.300000</td>\n      <td>2.000000</td>\n      <td>1.000000</td>\n      <td>0.100000</td>\n    </tr>\n    <tr>\n      <th>25%</th>\n      <td>5.100000</td>\n      <td>2.800000</td>\n      <td>1.600000</td>\n      <td>0.300000</td>\n    </tr>\n    <tr>\n      <th>50%</th>\n      <td>5.800000</td>\n      <td>3.000000</td>\n      <td>4.350000</td>\n      <td>1.300000</td>\n    </tr>\n    <tr>\n      <th>75%</th>\n      <td>6.400000</td>\n      <td>3.300000</td>\n      <td>5.100000</td>\n      <td>1.800000</td>\n    </tr>\n    <tr>\n      <th>max</th>\n      <td>7.900000</td>\n      <td>4.400000</td>\n      <td>6.900000</td>\n      <td>2.500000</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "metadata": {},
     "execution_count": 13
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = df[['SepalLengthCm','SepalWidthCm', 'PetalLengthCm','PetalWidthCm']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": "array(['Iris-setosa', 'Iris-versicolor', 'Iris-virginica'], dtype=object)"
     },
     "metadata": {},
     "execution_count": 16
    }
   ],
   "source": [
    "df['Species'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": "<matplotlib.axes._subplots.AxesSubplot at 0x7f69f98d5130>"
     },
     "metadata": {},
     "execution_count": 19
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
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\n"
     },
     "metadata": {}
    }
   ],
   "source": [
    "X.plot(kind = 'box')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": "<matplotlib.axes._subplots.AxesSubplot at 0x7f69f9686f10>"
     },
     "metadata": {},
     "execution_count": 20
    },
    {
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     },
     "metadata": {}
    }
   ],
   "source": [
    "X.plot(kind = 'hist')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 720x720 with 4 Axes>",
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     },
     "metadata": {}
    }
   ],
   "source": [
    "plt.figure(figsize=(10,10))\n",
    "tags = X.keys()\n",
    "counter = 1\n",
    "for i in tags:\n",
    "    plt.subplot(2,2,counter)\n",
    "    counter = counter + 1\n",
    "    X[i].plot(kind = 'hist')\n",
    "    plt.title(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": "               SepalLengthCm  SepalWidthCm  PetalLengthCm  PetalWidthCm\nSepalLengthCm       1.000000     -0.109369       0.871754      0.817954\nSepalWidthCm       -0.109369      1.000000      -0.420516     -0.356544\nPetalLengthCm       0.871754     -0.420516       1.000000      0.962757\nPetalWidthCm        0.817954     -0.356544       0.962757      1.000000",
      "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>SepalLengthCm</th>\n      <th>SepalWidthCm</th>\n      <th>PetalLengthCm</th>\n      <th>PetalWidthCm</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>SepalLengthCm</th>\n      <td>1.000000</td>\n      <td>-0.109369</td>\n      <td>0.871754</td>\n      <td>0.817954</td>\n    </tr>\n    <tr>\n      <th>SepalWidthCm</th>\n      <td>-0.109369</td>\n      <td>1.000000</td>\n      <td>-0.420516</td>\n      <td>-0.356544</td>\n    </tr>\n    <tr>\n      <th>PetalLengthCm</th>\n      <td>0.871754</td>\n      <td>-0.420516</td>\n      <td>1.000000</td>\n      <td>0.962757</td>\n    </tr>\n    <tr>\n      <th>PetalWidthCm</th>\n      <td>0.817954</td>\n      <td>-0.356544</td>\n      <td>0.962757</td>\n      <td>1.000000</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "metadata": {},
     "execution_count": 23
    }
   ],
   "source": [
    "X.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": "<matplotlib.axes._subplots.AxesSubplot at 0x7f69f9628d00>"
     },
     "metadata": {},
     "execution_count": 24
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 432x288 with 2 Axes>",
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\n"
     },
     "metadata": {}
    }
   ],
   "source": [
    "sns.heatmap(X.corr(), annot= True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": "<seaborn.axisgrid.PairGrid at 0x7f6a012e7f70>"
     },
     "metadata": {},
     "execution_count": 25
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 720x720 with 20 Axes>",
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\n"
     },
     "metadata": {}
    }
   ],
   "source": [
    "sns.pairplot(X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 648x216 with 3 Axes>",
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     },
     "metadata": {}
    }
   ],
   "source": [
    "g = sns.FacetGrid(data = df, col = 'Species')\n",
    "g = g.map(sns.distplot, \"SepalLengthCm\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 648x216 with 3 Axes>",
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\n"
     },
     "metadata": {}
    }
   ],
   "source": [
    "g = sns.FacetGrid(data = df, col = 'Species')\n",
    "g = g.map(sns.distplot, \"SepalWidthCm\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pandas_profiling import ProfileReport\n",
    "profile = ProfileReport(df, title=\"Profiling Report\", explorative=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "output_type": "stream",
     "name": "stderr",
     "text": "Summarize dataset: 100%|██████████| 19/19 [00:04<00:00,  4.73it/s, Completed]\nGenerate report structure: 100%|██████████| 1/1 [00:02<00:00,  2.99s/it]\nRender HTML: 100%|██████████| 1/1 [00:00<00:00,  2.34it/s]\nExport report to file: 100%|██████████| 1/1 [00:00<00:00, 244.51it/s]\n"
    }
   ],
   "source": [
    "profile.to_file(\"Profiling_Report.html\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ]
}