milestone1/mushroom.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Import \n",
    "Import the mushroom.csv, output the headers and first few lines. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  class  cap-diameter cap-shape cap-surface cap-color does-bruise-or-bleed  \\\n",
      "0     p         15.26         x           g         o                    f   \n",
      "1     p         16.60         x           g         o                    f   \n",
      "2     p         14.07         x           g         o                    f   \n",
      "3     p         14.17         f           h         e                    f   \n",
      "4     p         14.64         x           h         o                    f   \n",
      "\n",
      "  gill-attachment gill-spacing gill-color  stem-height  ...  stem-root  \\\n",
      "0               e          NaN          w        16.95  ...          s   \n",
      "1               e          NaN          w        17.99  ...          s   \n",
      "2               e          NaN          w        17.80  ...          s   \n",
      "3               e          NaN          w        15.77  ...          s   \n",
      "4               e          NaN          w        16.53  ...          s   \n",
      "\n",
      "  stem-surface stem-color veil-type veil-color has-ring ring-type  \\\n",
      "0            y          w         u          w        t         g   \n",
      "1            y          w         u          w        t         g   \n",
      "2            y          w         u          w        t         g   \n",
      "3            y          w         u          w        t         p   \n",
      "4            y          w         u          w        t         p   \n",
      "\n",
      "  spore-print-color habitat season  \n",
      "0               NaN       d      w  \n",
      "1               NaN       d      u  \n",
      "2               NaN       d      w  \n",
      "3               NaN       d      w  \n",
      "4               NaN       d      w  \n",
      "\n",
      "[5 rows x 21 columns]\n",
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 61069 entries, 0 to 61068\n",
      "Data columns (total 21 columns):\n",
      " #   Column                Non-Null Count  Dtype  \n",
      "---  ------                --------------  -----  \n",
      " 0   class                 61069 non-null  object \n",
      " 1   cap-diameter          61069 non-null  float64\n",
      " 2   cap-shape             61069 non-null  object \n",
      " 3   cap-surface           46949 non-null  object \n",
      " 4   cap-color             61069 non-null  object \n",
      " 5   does-bruise-or-bleed  61069 non-null  object \n",
      " 6   gill-attachment       51185 non-null  object \n",
      " 7   gill-spacing          36006 non-null  object \n",
      " 8   gill-color            61069 non-null  object \n",
      " 9   stem-height           61069 non-null  float64\n",
      " 10  stem-width            61069 non-null  float64\n",
      " 11  stem-root             9531 non-null   object \n",
      " 12  stem-surface          22945 non-null  object \n",
      " 13  stem-color            61069 non-null  object \n",
      " 14  veil-type             3177 non-null   object \n",
      " 15  veil-color            7413 non-null   object \n",
      " 16  has-ring              61069 non-null  object \n",
      " 17  ring-type             58598 non-null  object \n",
      " 18  spore-print-color     6354 non-null   object \n",
      " 19  habitat               61069 non-null  object \n",
      " 20  season                61069 non-null  object \n",
      "dtypes: float64(3), object(18)\n",
      "memory usage: 9.8+ MB\n",
      "None\n",
      "describe: \n",
      "        class  cap-diameter cap-shape cap-surface cap-color  \\\n",
      "count   61069  61069.000000     61069       46949     61069   \n",
      "unique      2           NaN         7          11        12   \n",
      "top         p           NaN         x           t         n   \n",
      "freq    33888           NaN     26934        8196     24218   \n",
      "mean      NaN      6.733854       NaN         NaN       NaN   \n",
      "std       NaN      5.264845       NaN         NaN       NaN   \n",
      "min       NaN      0.380000       NaN         NaN       NaN   \n",
      "25%       NaN      3.480000       NaN         NaN       NaN   \n",
      "50%       NaN      5.860000       NaN         NaN       NaN   \n",
      "75%       NaN      8.540000       NaN         NaN       NaN   \n",
      "max       NaN     62.340000       NaN         NaN       NaN   \n",
      "\n",
      "       does-bruise-or-bleed gill-attachment gill-spacing gill-color  \\\n",
      "count                 61069           51185        36006      61069   \n",
      "unique                    2               7            3         12   \n",
      "top                       f               a            c          w   \n",
      "freq                  50479           12698        24710      18521   \n",
      "mean                    NaN             NaN          NaN        NaN   \n",
      "std                     NaN             NaN          NaN        NaN   \n",
      "min                     NaN             NaN          NaN        NaN   \n",
      "25%                     NaN             NaN          NaN        NaN   \n",
      "50%                     NaN             NaN          NaN        NaN   \n",
      "75%                     NaN             NaN          NaN        NaN   \n",
      "max                     NaN             NaN          NaN        NaN   \n",
      "\n",
      "         stem-height  ...  stem-root stem-surface stem-color veil-type  \\\n",
      "count   61069.000000  ...       9531        22945      61069      3177   \n",
      "unique           NaN  ...          5            8         13         1   \n",
      "top              NaN  ...          s            s          w         u   \n",
      "freq             NaN  ...       3177         6025      22926      3177   \n",
      "mean        6.581538  ...        NaN          NaN        NaN       NaN   \n",
      "std         3.370017  ...        NaN          NaN        NaN       NaN   \n",
      "min         0.000000  ...        NaN          NaN        NaN       NaN   \n",
      "25%         4.640000  ...        NaN          NaN        NaN       NaN   \n",
      "50%         5.950000  ...        NaN          NaN        NaN       NaN   \n",
      "75%         7.740000  ...        NaN          NaN        NaN       NaN   \n",
      "max        33.920000  ...        NaN          NaN        NaN       NaN   \n",
      "\n",
      "       veil-color has-ring ring-type spore-print-color habitat season  \n",
      "count        7413    61069     58598              6354   61069  61069  \n",
      "unique          6        2         8                 7       8      4  \n",
      "top             w        f         f                 k       d      a  \n",
      "freq         5474    45890     48361              2118   44209  30177  \n",
      "mean          NaN      NaN       NaN               NaN     NaN    NaN  \n",
      "std           NaN      NaN       NaN               NaN     NaN    NaN  \n",
      "min           NaN      NaN       NaN               NaN     NaN    NaN  \n",
      "25%           NaN      NaN       NaN               NaN     NaN    NaN  \n",
      "50%           NaN      NaN       NaN               NaN     NaN    NaN  \n",
      "75%           NaN      NaN       NaN               NaN     NaN    NaN  \n",
      "max           NaN      NaN       NaN               NaN     NaN    NaN  \n",
      "\n",
      "[11 rows x 21 columns]\n",
      "Missing values: \n",
      "class                       0\n",
      "cap-diameter                0\n",
      "cap-shape                   0\n",
      "cap-surface             14120\n",
      "cap-color                   0\n",
      "does-bruise-or-bleed        0\n",
      "gill-attachment          9884\n",
      "gill-spacing            25063\n",
      "gill-color                  0\n",
      "stem-height                 0\n",
      "stem-width                  0\n",
      "stem-root               51538\n",
      "stem-surface            38124\n",
      "stem-color                  0\n",
      "veil-type               57892\n",
      "veil-color              53656\n",
      "has-ring                    0\n",
      "ring-type                2471\n",
      "spore-print-color       54715\n",
      "habitat                     0\n",
      "season                      0\n",
      "dtype: int64\n",
      "DONE MUSHROOMS\n"
     ]
    }
   ],
   "source": [
    "# This Python 3 environment comes with many helpful analytics libraries installed\n",
    "# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n",
    "# For example, here's several helpful packages to load\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import numpy as np # linear algebra\n",
    "import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n",
    "\n",
    "# Input data files are available in the read-only \"../input/\" directory\n",
    "# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n",
    "\n",
    "import os\n",
    "\n",
    "dirname = \"dataset\"\n",
    "filename = \"mushroom.csv\"\n",
    "\n",
    "mushroom_df = pd.read_csv(os.path.join(dirname, filename))\n",
    "\n",
    "# Display the first few rows of the dataframe\n",
    "print(mushroom_df.head())\n",
    "print(mushroom_df.info())\n",
    "\n",
    "# Basic statistics of the dataframe\n",
    "print(\"describe: \")\n",
    "print(mushroom_df.describe(include='all'))\n",
    "\n",
    "# Checking for missing values\n",
    "print(\"Missing values: \")\n",
    "print(mushroom_df.isnull().sum())\n",
    "\n",
    "print(\"DONE MUSHROOMS\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Count plot for mushroom classification (edible vs poisonous)\n",
    "sns.countplot(x='class', data=mushroom_df)\n",
    "plt.title('Distribution of Mushrooms (Edible vs Poisonous)')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Distribution of cap shapes among mushrooms\n",
    "sns.countplot(x='cap-shape', hue='class', data=mushroom_df)\n",
    "plt.title('Distribution of Mushroom Cap Shapes (Edible vs Poisonous)')\n",
    "# add a box describing the tags for cap shapes\n",
    "# add a border around the box\n",
    "plt.text(0, -3000, 'b=bell, c=conical, x=convex, f=flat, k=knobbed, s=sunken',\n",
    "         bbox=dict(facecolor='none', edgecolor='black'))\n",
    "\n",
    "plt.show()\n",
    "\n",
    "# Distribution of cap colors among mushrooms\n",
    "sns.countplot(x='cap-color', hue='class', data=mushroom_df)\n",
    "plt.title('Distribution of Mushroom Cap Colors (Edible vs Poisonous)')\n",
    "# add a box describing the tags for cap colors\n",
    "plt.text(1, -3000, 'n=brown, b=buff, c=cinnamon, g=gray, r=green, \\np=pink, u=purple, e=red, w=white, y=yellow',\n",
    "         bbox=dict(facecolor='none', edgecolor='black'))\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Encoding the dataset\n",
    "encoded_df = pd.get_dummies(mushroom_df, columns=['gill-color'])\n",
    "\n",
    "# Now, let's create a scatter plot of 'cap-diameter' against the presence of one of the gill colors\n",
    "# Assuming 'gill-color_w' as an example, replace 'gill-color_w' with an actual column name from your encoded dataset\n",
    "# For illustrative purposes, let's plot 'cap-diameter' against 'class' to see if there's any noticeable pattern\n",
    "sns.scatterplot(x='cap-diameter', y='class', data=mushroom_df)  # 'y' could be an encoded feature for a more informative plot\n",
    "plt.title('Cap Diameter vs Class')\n",
    "plt.xlabel('Cap Diameter')\n",
    "plt.ylabel('Class (Encoded)')\n",
    "plt.show()"
   ]
  }
 ],
 "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": "3.11.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}