7_Countplot_Seaborn.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Coutplot:\n",
    "> The countplot is used to represent the occurrence(counts) of the observation present in the categorical variable. It uses the concept of a bar chart for the visual depiction.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\Mahzaib Khalid\\anaconda3\\lib\\site-packages\\scipy\\__init__.py:146: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.23.1\n",
      "  warnings.warn(f\"A NumPy version >={np_minversion} and <{np_maxversion}\"\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "data=sns.load_dataset(\"Tips\")\n",
    "data.to_csv(\"Tips.csv\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "data1=pd.read_csv(\"Tips.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Unnamed: 0    244\n",
       "total_bill    229\n",
       "tip           123\n",
       "sex             2\n",
       "smoker          2\n",
       "day             4\n",
       "time            2\n",
       "size            6\n",
       "dtype: int64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data1.nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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d2ZTSkAy/tGXfBX4+ye5J9gI+1a3fC1jTnb8/bYNtrgS+hUf72k55kTZpK5J8Gfgsg8twPwHcz+B67Od16+4B9qqqM7vnvwV4BFhQVc+NYWRpiwy/NMu6zwdeVFVnjHsWaVO8Hr80i5JcDHwCOH7cs0ib4xG/JDXGX+5KUmMMvyQ1xvBLUmMMvyQ1xvBLUmP+HxYgeBmXTU7iAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "sns.countplot(x=\"day\",data=data)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "sns.countplot(x=\"sex\",data=data,hue=\"day\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# To change the orientation of Graph\n",
    "sns.countplot(y=\"sex\",data=data,hue=\"day\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "sns.countplot(x=\"sex\",data=data,hue=\"day\",palette=\"flare\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "sns.countplot(x=\"sex\",data=data,hue=\"day\",color=\"r\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "sns.countplot(x=\"sex\",data=data,hue=\"day\",color=\"r\",saturation=0.4)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.9.7 ('base')",
   "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": "3.9.7"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "8de2fd29472d8520918489d2f7698684b73d156be72bb6a0af57d9dbbf4a217c"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}