DataExploration.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Id</th>\n",
       "      <th>Sequence</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3</td>\n",
       "      <td>1,3,13,87,1053,28576,2141733,508147108,4021352...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7</td>\n",
       "      <td>1,2,1,5,5,1,11,16,7,1,23,44,30,9,1,47,112,104,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>8</td>\n",
       "      <td>1,2,4,5,8,10,16,20,32,40,64,80,128,160,256,320...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>11</td>\n",
       "      <td>1,8,25,83,274,2275,132224,1060067,3312425,1099...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>13</td>\n",
       "      <td>1,111,12211,1343211,147753211,16252853211,1787...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Id                                           Sequence\n",
       "0   3  1,3,13,87,1053,28576,2141733,508147108,4021352...\n",
       "1   7  1,2,1,5,5,1,11,16,7,1,23,44,30,9,1,47,112,104,...\n",
       "2   8  1,2,4,5,8,10,16,20,32,40,64,80,128,160,256,320...\n",
       "3  11  1,8,25,83,274,2275,132224,1060067,3312425,1099...\n",
       "4  13  1,111,12211,1343211,147753211,16252853211,1787..."
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "train_data=pd.read_csv(\"train.csv\")\n",
    "train_data.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(113845, 2)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 113845 entries, 0 to 113844\n",
      "Data columns (total 2 columns):\n",
      "Id          113845 non-null int64\n",
      "Sequence    113845 non-null object\n",
      "dtypes: int64(1), object(1)\n",
      "memory usage: 1.7+ MB\n"
     ]
    }
   ],
   "source": [
    "train_data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(113845,)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_data['Sequence']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def get_number_of_elements(row):\n",
    "    row['count']=len(row['Sequence'].split(','))\n",
    "    return row"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "train_data=train_data.apply(get_number_of_elements,axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Id', 'Sequence', 'count']"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_data.columns.tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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iNd4IMzOrrqdcqK92PSS6UF5VRFwQESMjYuTAgQO7GKKZmXWmu5PK07npivz3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\nTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "train_data[['count']].plot(kind='hist')\n",
    "plt.title('Частота кількості цифр в послідовності')\n",
    "plt.xlabel('К-сть цифр в послідовності')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# зростаючі,спадаючі, монотонні послідовності\n",
    "def get_up_down_monot(row):\n",
    "    x=list(row['Sequence'].split(','))\n",
    "    x=[int(el) for el in x]\n",
    "    up=True\n",
    "    down=True\n",
    "    mon=False\n",
    "    for i in range(1,len(x)):\n",
    "        if x[i-1]>x[i]:\n",
    "            up=False\n",
    "        else:\n",
    "            down=False\n",
    "        if up==False and down==False:\n",
    "            mon=True\n",
    "            break\n",
    "    if up:\n",
    "        row['way']='increase'\n",
    "    elif down:\n",
    "        row['way']='decrease'\n",
    "    else:\n",
    "        row['way']='monotonic'\n",
    "    return row"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Id', 'Sequence', 'count', 'way', 'max_order']\n"
     ]
    }
   ],
   "source": [
    "train_data=train_data.apply(get_up_down_monot,axis=1)\n",
    "print(train_data.columns.tolist())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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CqyQtkvScpBWSruiJYGZm1r48K+B8AEyMiI2S+gMLJP06Ip4pczYzM2tHp8UdEQFsLD3s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\nmVli/j/jWMfcR1dOKQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "train_data.groupby(['way']).sum().plot(kind='bar')\n",
    "plt.show()\n",
    "# набагато більше визначених(зростаючих+спад)ніж монотонних"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def get_max_order(row):\n",
    "    x=row['Sequence'].split(',')\n",
    "    max_order=max([len(el) for el in x])\n",
    "    row['max_order']=max_order\n",
    "    return row\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Id', 'Sequence', 'count', 'way', 'max_order']"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_data=train_data.apply(get_max_order,axis=1)\n",
    "train_data.columns.tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>max_order</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>113845.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>10.229180</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>12.014789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>3.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>6.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>14.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>285.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           max_order\n",
       "count  113845.000000\n",
       "mean       10.229180\n",
       "std        12.014789\n",
       "min         1.000000\n",
       "25%         3.000000\n",
       "50%         6.000000\n",
       "75%        14.000000\n",
       "max       285.000000"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# train_data.groupby(['max_order']).sum().plot(kind='bar')\n",
    "# plt.show()\n",
    "train_data[['max_order']].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(8610, 5)"
      ]
     },
     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_data[train_data['max_order']==1].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(41417, 5)"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_data[train_data['way']=='monotonic'].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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RIypu4+GHH+aee+4B4IADDmDp0qUsX74cgC996Uv07NkTgJkzZ3LqqacCMGTIEIYMGQLA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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "train_data[['max_order']].plot(kind='hist')\n",
    "plt.title('Максимальний розряд елемента в послідовності')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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MJh32OgMYLKnrcNxIYHl+3A6MAsj12wGdxfI68zxPRJwTEW0R0TZ8+PByt8bM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\nRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "train_data[train_data['max_order']<12]['max_order'].plot(kind='hist')\n",
    "plt.title('Максимальний(<12) розряд елемента в послідовності ')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "train_data[train_data['max_order']==100]"
   ]
  }
 ],
 "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": "3.6.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}