{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Wczytywanie danych"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>familyID</th><th scope=col>individualID</th><th scope=col>IDFather</th><th scope=col>IDMother</th><th scope=col>sex</th><th scope=col>age</th><th scope=col>ethnicity</th><th scope=col>alcoholDependence</th><th scope=col>AgeOnset</th><th scope=col>MaxDinks</th><th scope=col>packsDay</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>10084   </td><td>10000089</td><td>10000526</td><td>10000031</td><td>F       </td><td>30      </td><td>6       </td><td>5       </td><td>16      </td><td>24      </td><td>17.00   </td></tr>\n",
       "\t<tr><td>10084   </td><td>10000758</td><td>10000526</td><td>10000031</td><td>F       </td><td>31      </td><td>6       </td><td>5       </td><td>30      </td><td>12      </td><td>16.00   </td></tr>\n",
       "\t<tr><td>10084   </td><td>10001094</td><td>       0</td><td>       0</td><td>M       </td><td> 0      </td><td>0       </td><td>0       </td><td> 0      </td><td>-9      </td><td>-9.00   </td></tr>\n",
       "\t<tr><td>10084   </td><td>10000133</td><td>10001094</td><td>10000758</td><td>M       </td><td>18      </td><td>6       </td><td>3       </td><td> 0      </td><td>18      </td><td> 0.45   </td></tr>\n",
       "\t<tr><td>10084   </td><td>10001039</td><td>10000526</td><td>10000031</td><td>M       </td><td>28      </td><td>6       </td><td>5       </td><td>16      </td><td>40      </td><td> 0.00   </td></tr>\n",
       "\t<tr><td>10084   </td><td>10000194</td><td>10000526</td><td>10000031</td><td>F       </td><td>24      </td><td>6       </td><td>3       </td><td> 0      </td><td>20      </td><td> 8.00   </td></tr>\n",
       "\t<tr><td>10084   </td><td>10000526</td><td>       0</td><td>       0</td><td>M       </td><td>60      </td><td>6       </td><td>5       </td><td>38      </td><td>24      </td><td>42.00   </td></tr>\n",
       "\t<tr><td>10084   </td><td>10000031</td><td>       0</td><td>       0</td><td>F       </td><td>60      </td><td>6       </td><td>3       </td><td> 0      </td><td> 7      </td><td>58.50   </td></tr>\n",
       "\t<tr><td>10130   </td><td>10001565</td><td>10001436</td><td>10001364</td><td>F       </td><td>38      </td><td>6       </td><td>5       </td><td>18      </td><td>75      </td><td>30.00   </td></tr>\n",
       "\t<tr><td>10130   </td><td>10000919</td><td>10001436</td><td>10001364</td><td>M       </td><td>40      </td><td>6       </td><td>5       </td><td>33      </td><td>48      </td><td> 0.00   </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|lllllllllll}\n",
       " familyID & individualID & IDFather & IDMother & sex & age & ethnicity & alcoholDependence & AgeOnset & MaxDinks & packsDay\\\\\n",
       "\\hline\n",
       "\t 10084    & 10000089 & 10000526 & 10000031 & F        & 30       & 6        & 5        & 16       & 24       & 17.00   \\\\\n",
       "\t 10084    & 10000758 & 10000526 & 10000031 & F        & 31       & 6        & 5        & 30       & 12       & 16.00   \\\\\n",
       "\t 10084    & 10001094 &        0 &        0 & M        &  0       & 0        & 0        &  0       & -9       & -9.00   \\\\\n",
       "\t 10084    & 10000133 & 10001094 & 10000758 & M        & 18       & 6        & 3        &  0       & 18       &  0.45   \\\\\n",
       "\t 10084    & 10001039 & 10000526 & 10000031 & M        & 28       & 6        & 5        & 16       & 40       &  0.00   \\\\\n",
       "\t 10084    & 10000194 & 10000526 & 10000031 & F        & 24       & 6        & 3        &  0       & 20       &  8.00   \\\\\n",
       "\t 10084    & 10000526 &        0 &        0 & M        & 60       & 6        & 5        & 38       & 24       & 42.00   \\\\\n",
       "\t 10084    & 10000031 &        0 &        0 & F        & 60       & 6        & 3        &  0       &  7       & 58.50   \\\\\n",
       "\t 10130    & 10001565 & 10001436 & 10001364 & F        & 38       & 6        & 5        & 18       & 75       & 30.00   \\\\\n",
       "\t 10130    & 10000919 & 10001436 & 10001364 & M        & 40       & 6        & 5        & 33       & 48       &  0.00   \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "| familyID | individualID | IDFather | IDMother | sex | age | ethnicity | alcoholDependence | AgeOnset | MaxDinks | packsDay |\n",
       "|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| 10084    | 10000089 | 10000526 | 10000031 | F        | 30       | 6        | 5        | 16       | 24       | 17.00    |\n",
       "| 10084    | 10000758 | 10000526 | 10000031 | F        | 31       | 6        | 5        | 30       | 12       | 16.00    |\n",
       "| 10084    | 10001094 |        0 |        0 | M        |  0       | 0        | 0        |  0       | -9       | -9.00    |\n",
       "| 10084    | 10000133 | 10001094 | 10000758 | M        | 18       | 6        | 3        |  0       | 18       |  0.45    |\n",
       "| 10084    | 10001039 | 10000526 | 10000031 | M        | 28       | 6        | 5        | 16       | 40       |  0.00    |\n",
       "| 10084    | 10000194 | 10000526 | 10000031 | F        | 24       | 6        | 3        |  0       | 20       |  8.00    |\n",
       "| 10084    | 10000526 |        0 |        0 | M        | 60       | 6        | 5        | 38       | 24       | 42.00    |\n",
       "| 10084    | 10000031 |        0 |        0 | F        | 60       | 6        | 3        |  0       |  7       | 58.50    |\n",
       "| 10130    | 10001565 | 10001436 | 10001364 | F        | 38       | 6        | 5        | 18       | 75       | 30.00    |\n",
       "| 10130    | 10000919 | 10001436 | 10001364 | M        | 40       | 6        | 5        | 33       | 48       |  0.00    |\n",
       "\n"
      ],
      "text/plain": [
       "   familyID individualID IDFather IDMother sex age ethnicity alcoholDependence\n",
       "1  10084    10000089     10000526 10000031 F   30  6         5                \n",
       "2  10084    10000758     10000526 10000031 F   31  6         5                \n",
       "3  10084    10001094            0        0 M    0  0         0                \n",
       "4  10084    10000133     10001094 10000758 M   18  6         3                \n",
       "5  10084    10001039     10000526 10000031 M   28  6         5                \n",
       "6  10084    10000194     10000526 10000031 F   24  6         3                \n",
       "7  10084    10000526            0        0 M   60  6         5                \n",
       "8  10084    10000031            0        0 F   60  6         3                \n",
       "9  10130    10001565     10001436 10001364 F   38  6         5                \n",
       "10 10130    10000919     10001436 10001364 M   40  6         5                \n",
       "   AgeOnset MaxDinks packsDay\n",
       "1  16       24       17.00   \n",
       "2  30       12       16.00   \n",
       "3   0       -9       -9.00   \n",
       "4   0       18        0.45   \n",
       "5  16       40        0.00   \n",
       "6   0       20        8.00   \n",
       "7  38       24       42.00   \n",
       "8   0        7       58.50   \n",
       "9  18       75       30.00   \n",
       "10 33       48        0.00   "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gaw = read.table('http://theta.edu.pl/wp-content/uploads/2019/12/gaw.csv', header = TRUE, sep = ';', dec = ',')\n",
    "head(gaw, 10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Eksploracja danych"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "    familyID      individualID      IDFather           IDMother        sex    \n",
       " Min.   :10001   Min.   :1e+07   Min.   :       0   Min.   :       0   F:788  \n",
       " 1st Qu.:10033   1st Qu.:1e+07   1st Qu.:       0   1st Qu.:       0   M:826  \n",
       " Median :10068   Median :1e+07   Median :10000446   Median :10000403          \n",
       " Mean   :10070   Mean   :1e+07   Mean   : 6871685   Mean   : 6871658          \n",
       " 3rd Qu.:10106   3rd Qu.:1e+07   3rd Qu.:10001052   3rd Qu.:10001005          \n",
       " Max.   :10143   Max.   :1e+07   Max.   :10001609   Max.   :10001607          \n",
       "      age          ethnicity     alcoholDependence    AgeOnset     \n",
       " Min.   : 0.00   Min.   :0.000   Min.   :0.000     Min.   : 0.000  \n",
       " 1st Qu.:23.00   1st Qu.:4.000   1st Qu.:1.000     1st Qu.: 0.000  \n",
       " Median :34.00   Median :6.000   Median :3.000     Median : 0.000  \n",
       " Mean   :34.48   Mean   :4.922   Mean   :3.006     Mean   : 8.769  \n",
       " 3rd Qu.:47.00   3rd Qu.:6.000   3rd Qu.:5.000     3rd Qu.:18.000  \n",
       " Max.   :91.00   Max.   :8.000   Max.   :5.000     Max.   :66.000  \n",
       "    MaxDinks        packsDay      \n",
       " Min.   :-9.00   Min.   : -9.000  \n",
       " 1st Qu.: 3.00   1st Qu.:  0.000  \n",
       " Median :10.00   Median :  1.587  \n",
       " Mean   :13.71   Mean   : 11.674  \n",
       " 3rd Qu.:22.75   3rd Qu.: 18.000  \n",
       " Max.   :96.00   Max.   :193.000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "summary(gaw)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Zastępowanie 0 i -9 wartościami NA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "   Min. 1st Qu.  Median    Mean 3rd Qu.    Max.    NA's \n",
       "   0.00    6.00   12.00   17.41   24.00   96.00     226 "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gaw$MaxDinks[gaw$MaxDinks == -9] = NA\n",
    "gaw$packsDay[gaw$packsDay == -9] = NA\n",
    "summary(gaw$MaxDinks)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "gaw[gaw[, 6] == 0, 6] = NA\n",
    "gaw[gaw[, 7] == 0, 7] = NA\n",
    "gaw[gaw[, 8] == 0, 8] = NA\n",
    "gaw[gaw[, 9] == 0, 9] = NA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "    familyID      individualID      IDFather           IDMother        sex    \n",
       " Min.   :10001   Min.   :1e+07   Min.   :       0   Min.   :       0   F:788  \n",
       " 1st Qu.:10033   1st Qu.:1e+07   1st Qu.:       0   1st Qu.:       0   M:826  \n",
       " Median :10068   Median :1e+07   Median :10000446   Median :10000403          \n",
       " Mean   :10070   Mean   :1e+07   Mean   : 6871685   Mean   : 6871658          \n",
       " 3rd Qu.:10106   3rd Qu.:1e+07   3rd Qu.:10001052   3rd Qu.:10001005          \n",
       " Max.   :10143   Max.   :1e+07   Max.   :10001609   Max.   :10001607          \n",
       "                                                                              \n",
       "      age          ethnicity     alcoholDependence    AgeOnset    \n",
       " Min.   :17.00   Min.   :1.000   Min.   :1.000     Min.   :12.00  \n",
       " 1st Qu.:29.00   1st Qu.:6.000   1st Qu.:3.000     1st Qu.:17.00  \n",
       " Median :37.00   Median :6.000   Median :3.000     Median :20.00  \n",
       " Mean   :40.09   Mean   :5.736   Mean   :3.495     Mean   :22.61  \n",
       " 3rd Qu.:51.00   3rd Qu.:6.000   3rd Qu.:5.000     3rd Qu.:25.00  \n",
       " Max.   :91.00   Max.   :8.000   Max.   :5.000     Max.   :66.00  \n",
       " NA's   :226     NA's   :229     NA's   :226       NA's   :988    \n",
       "    MaxDinks        packsDay     \n",
       " Min.   : 0.00   Min.   :  0.00  \n",
       " 1st Qu.: 6.00   1st Qu.:  0.00  \n",
       " Median :12.00   Median :  5.25  \n",
       " Mean   :17.41   Mean   : 15.16  \n",
       " 3rd Qu.:24.00   3rd Qu.: 21.00  \n",
       " Max.   :96.00   Max.   :193.00  \n",
       " NA's   :226     NA's   :233     "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "summary(gaw)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Wykresy"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 1. Histogram"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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e3ONN2X5HF9r9Ppcn2b0D58a9qiu1zfSJ7XftmU9+fl72d1Lq7O6ry+ub3H9b0+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\nBxcxLzwYR9WvAAAAAElFTkSuQmCC",
      "text/plain": [
       "Plot with title \"Histogram\""
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "hist(gaw$age, main = \"Histogram\", xlab = \"Age\", ylim = c(0, 250), col = \"red\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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E5C6nEusZvUSUg9ziV2kzoJqce5xG5S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\nAAAASUVORK5CYII=",
      "text/plain": [
       "Plot with title \"Histogram\""
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "hist(gaw$age, main = \"Histogram\", xlab = \"Age\", prob = TRUE, col = \"red\", ylim = c(0, 0.04))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "?hist"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "Plot with title \"Histogram\""
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "hist(gaw$age, main = \"Histogram\", xlab = \"Age\", prob = TRUE, col = \"red\", ylim = c(0, 0.04), nclass = 4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 2. Pairs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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U4YwwFUPf2BS/Q7iDRCfRnsU/Q4YUZEKlkHGAVEwterYVdJEOnzsE/R44QxZKQc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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pairs(gaw[, 6:11])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 3. Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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6RHEK3vh9xGurmumpC1QUBCSNPF7jGZCyEVrmLSjxrz/upz7Uzw6IKPl0wrN6x0\n0yaeEwnTuSTXOYR0GFcV0mQHMeL9VR9sMC4KrqFPBUkhpV1jltkQcUxNT62awDo9lxGS7NMn\nv/2TDbvW8Pfw0ft36XCD2p7leIdenOgxCvq+1rMJCa7d2irEFczwo1JJyk7Iqim2EJL7HH6r\ndl7XZ+T7UMjFuYuUg5BCTnZwTq0bACGVrSLLj9owGn0cYeHq3Ew8R+rixC5ddPBXck0h5YW/\nryikRAufzBXlSFycMDZSB1r5tV5Nc5cRkphH4p8qwrXLXy63nu0cEDbsmZmJ5ki5dn4O6aRC\ngmu3torZV1B6f+leLK9/m8Nmt9voLXwyF/9MBxtGi5+zAGir1asQ0t5VJCJvifDDppHrgiwS\nEo289RvJr47TC+kwfrGQ+Kcdi/TNmks93vufaUHsDvZrjYzizI4MweYsALre6tXLCKlEn55W\ny5y4REYz3tgBmSekRC/mt3NduxlCkqG/csC1W1vFaYSU47Rse7tnuk26kEIhSSFxIcwJF263\nehVC2rsKhUnXLit8d7j3b4pYkFFIQkjTV+mKi+4gJM90sCEnfHe891/EgoxCuNRCLzV9lSCk\npVl2qGJ1n54T/s4I32U14y0dEGVydTR1amGcL+SeSJoS0uQzuotC9JnAtVtbRQEh8U/1yGT4\nLs/7X2BsdpubN/5IFEsLSQhp5Btj4ipBSIuznLCKhUxFHTYbRue2uXlr7eKRkKECocdk0rGu\n94qLryaAkOaR1yGVV1JuAMHMsyAhJK0Qoz4Qm+6SMmq/EpcR0oauHUs03kYym/F8Y6eEFFuf\nN58jE/b1sNO4D1tymildy6z567LAtVtbxYbBBpGmwDB6trGTIYxg/YzxhzIvaoycK+qNlWWO\nfWMcuaIKQtq7ipjp+z+ptc2G0dOxQGf9HAviXsUpKyqk28oTUvk1vjUAIQUmPZLyz1NkkhPC\nmO9PaapILN3xHp+3JK3Xw67SoVxGSNsuESrMXGOzYoGzrU92L7yeu7WuL/Ky2TKCvQq4dmur\nuLKQ8kIY8zskKQa9nvuJdRMBIe1dhcKBwaZxsoQ02/pcIalJgQBC8pz28b2sZlzA+rF6Npto\nvgqXEdIu4e9SzDM2R0glrE/U04+RfJrl5e8BXLu1VRSdkN3agUkaq3UFJnGEMTNURsPaU2kh\npBwuI6SiHDYSSAqp8OhkjpAsxkgZXEtI8ns54/tZS5q7sG0dSs3a0rfHf/2v8GnvUFiGr0dU\nmLpuj0cjehUte5HrL+AyQur6dPLkEPlzFC3p5kISxo5U7ATU9r8Lu7mQlOu29MoeAly7tVX0\nV5A9y5p3t7RIUDIAACAASURBVOOk0+tx1sKNHanY7SkbUfT1RBUq9Zi7oUdOG9vsgZAKVUFu\nde7dlklNap1McUTNccV+j/v1oyLVhlLjM42vmzu84Mr+Jq4mJOp85N5tkXTHKROpYFkxidh1\nOiqjcLLMR1YYX7fg/C24sr+IywjJ9emrhbRHpFcam6iYhta6pL07lrIrU2LjK7hjId1rEhJc\nuwVVsBjT3W2vde12FBKveVRIg2vHH7sTlBBS7Of+GNsdr8O1g5AWVKFEkNYHG3acMun6GF9z\nXDH5uw2/Z5kUUmas0agEk3hw0IcjKgk2HEbNQopjTML5yLnfMul+Quqr9M12TEgt/z1L3bAC\nQurrYV8rw8eCK/u7qFpI1M0YZjvcfv45WkR20nKZB2N7UcwyMh1vmBO0T2kumvh9pLpTI8/+\n1B5cu2VVBHf9kCu49Pt5eA2CJR95pPMooezRYqKJX6Mc6TbZWrvylO34IaRlVRw97l0xYlgS\n1BjJM0eWSudl/EoHd4SNxsQsccmmv/lQdB/qFtLxEaT5FkTOkdqQ9OaVFtIcWSqd1yAaeiQR\njkjatpDMkd3pqVpItD84qk+freRH+rsb1yeDGqmdqTzzhBSl7JqzoUeMfy/XXdRXtOmbwkKC\na7egCjZCqUZIjxx3riNtxJMYByXyjEhMK1tsWN8FseqHP+WVLdn0XedXqDgIaVEVcyJIW0Wb\nljiXGXnmNtZ1QvIDJLIj2cCLNn1Zcb3ULKQ5bDT/kRVs8O3EbeToaLNImaI579iJQ4l4RI5a\nc23hnxVzGSFN9embzMjnyXO2kFwz3qR5xUJyYQb9iPhZFz6aWm2K3ypQ3AO4dmurmLyC2U5Y\n6dlcI5+im7RkyQzTCsKIyBi/ESy401T90oesWeSsiqOtlUBI21eRO5hZsb5IRQppsm8s/z09\nCvfo4l+jCJumf1bXdOua1tsWuZIZGVZXuhUQkppw+eO1EX60YdyKoCnxHSokG4fv6FSt/13L\nArZBSJtzqGtXNmlom15IvbHJXHOb13poGEEaYPpHzcOR/ox3s42ZOf3VAtdubRVFgw0zQtrp\npH5wPvyhjN9T+RQhbdlwYxu5kAxL4nQEIVEuI6QJ5oW/ywlJm7TJLFkpbRvkfJIyNKLW92d8\niI5OHCj/PULinxOJswN8jvhYatjuN2aZVCrinCjbbURCkoOmcMZ7t2jvXO5cbya7Cunf20vz\n4OX1X/EqCvbp+V5g65KmhKSTfK+dQhjrp5oQaf7ZjUw4jZqN/izuNEXv17Vlog2z0OYE4jP+\nDa7d91MTeC5dRbkrOC/8nRKSNmznQpqzLGLMrdlSSI9P9vtIhwlJdY1/p5Bem9vfz27r6+PW\nvG5RRRFmTcimXLvQkUxmH63YOYhpt0ZOU+WQTiqORN3AmDO7KemprXOwo5Buzaff/mxuW1Rx\nAIk2ZfzytfzMWlfIRlqLhSTNyBWS2g0sUtHasY3mdu4vpJGz2FFITZP6o0QVRz5GEV/dPmBn\nUpdefa+d5uuJnkgpzDt9Wd6fyJMujfwpHzU/jZC009i2GZxDSNv2SOwKBicp6aZNv81DKSTK\nk3J0Qkeiln/n+X2KyNfr28rIw7Te6cvy/kQeJSE70v8Ixd2EH6GwkT+axxZ9h3oamwpp7Cz2\nHSN9fHVbm4+RgpOUDByQJNMp4g2/Qw028DBXonzfAZEUKV8vdmt8Tb5C+rdijpJHSciOsPeA\nBZuin8WYDnfMcDuzGTvjbRjz1fcMfz+TqN3T9yZVOLyTlI6MhWY8lSLeIJ9TQjLJ8rk++794\nUWRhW0JIsdOn9zNiZJFIqhyR1gdl8QrEhlZwntuZzdgZb8PYWew8j/TazSPdXt42n0fyDkja\nE+GCGEsRbwyfrUdmJVE7JYF4CV/KWLewLd1WcoRkhqjHdFLtiDBJe4xiOtwx0gQXO336aWzo\n2o0HYi+zskFeQX/7UyrhLtp4inij/zTk5fac4HKRzL4xJ4wVX/9h3ib9Ta+hJCJCSifVj4ir\nI2VpM4Q04oSZpUJKnMamQnIVa0fPIyTi9zX3n+ux8l93/+/963paPU3fRMJn/M/n7TaiPCbU\nY0Re9/fPWD2Ub1L29vUMdXh7Xd7HpyzfkvLlPy2NNdwmLS0rJ74GoSzL8xqSVz1HJY+0bfb9\nnTjnLf+p9e0vpPenpnn5KFFFHBCLw2lJx60VqEE6UYjMY2j+pEk+hWE/X8n8JWFBxpHkNYhT\nuNBf8os/KiQdlhy+/5mnOBU3jJywULwxVvYpZ0UZZFJ2n0caIg6jQbvFr+MKe2Q0QMscBQ5I\nXrUQLU/rBzK+UBYfIGlN/2hp695rR0wRhbAzVI+o10BDvoA/cSGNoe/Op5egvZsgJMWhmo4b\nKkLyV2mFc6eymWs36j3b/YX02rx+W/v12rwXqIKq5M72ZLXAVsomHZsTSegOpwGex1/y6Mjj\n3z3SkTU0CT2/3NBiAvaTMCMXkkfi6DfFnQyT4tY0HcNQWmC4StbQpRvr+TVCujVd3Pu7eSpR\nRWjlfA/B7bZ8Q0vh/0wWMrJDiill0BCfYI3WOX3Kkci2jGvAmQ79aYWwsyLHzNCHWNEhzROS\n/w5y/VENvt04ewvJLQ0qtEQobkNuT6J1haNKEr8jXcjyPEPnxMJ4AyE6nNbEkiOucGfASKKu\nXWtG26HFB/0YQ7wxozJiDil+bp5Ts7eQ/jghlVkiFBrRXewZ+QJ3ctpVSLQ9iyQmtNPyQnLu\n5WhjNQkheZNcRxQ1/bMJadMlQmPsKqSXt/eP5u/P5vdrmSVC3gGx7n0izg9JOzz+SMqd0cZH\nUZLZeYiHJZOE0UaG1VFYTMlDk5iM15X4JLHRzAmbLZckzujg3BXidwipp9u8lVgiJFqubMsj\nbZJkjkqLgg1xhaN5XPhraGr0SDfml4WEwUXaanJEtGAtD0/SykhCRIhHyFLZj9f6nnN1B+KL\nLx61O4w955E+P9/fX166kMPrqI5mh78VRZEEcbaWZlZKSxSSlce4/cYYnsR5WaIQOgJPWE2O\niGan5eFJ+kxjSuolRJVEz2uw2vjOI1rZMJtQfPGo3WGcZ2XD/Cpc02jJjGl0JMrjEUnCjqiQ\n1BEtiZv99L/GqpTWvSrO7QiukmvHmtX+U3QHypkaKSQfFExgnOtGhBQZS0dIg5AWq4mfTh3h\n7ylqFhKlHfnGjdPlpvZ5yMc4brwTvuS1RHe2Um3OsCMjXYgBkj0jWSYGPvIFkX5juZDyKl4E\nhLSyii2FpI5DdHLGO6u+gacbsIumiT1jIbux9ux6jFhIqzuSLYR0GDUKSXFnqLOmpiDOSisS\nTzIjD5mV7HMYaUo8zJnD9Agl9g990x/J0ydkJ2i8Iol2Rdtf3fxDwLJ26hSSEgWQq27iFO5j\nZnc0R0ismfUj9Th0YfpXxc0ygVRgp0QhT326saq+q6uKv9dO9CGrnTv+uR64dnOqkG7TYzNa\nB5qMXM8Wks3VUSwkN0xy+ftdi4VERyipFK6e0EgN+8zJY73/uamQgkkINmzDVBWTnpxMYVlb\nXqikzMTGx+u8kmjF6hxk5hhhXBSyYrfXio04n8xjh++EYCwtxBgz1s+lQ6ZKxWLlXr3UKaSM\nXiVOEfqEvMABz5mvJN8fufkX4ta1icn8PCFNDM65T+nHOKN5XAqWh2ZzQtJ7JF1ImUHOuLSK\nuYyQZJ+eEFL2XRYZ85XkpmTCTCYVUt8s70JJmeP28YbnG3whIbnIxl2X0ViXlPddtYWQ4NrN\nqkJp1vepFFwMo5Oeam1ZQmqV52C5a7exkKw89YnGOuwc8gwzpGT+VTWWK067Ctn9tykR+yNA\nSHOqmP7Ki1NM5hnpq/LdwdYvEQqdkAg2KO06d9w+KgpXiGZs+gvfOO0Fobsfik3Ul+iZ5GXI\n9oNt1qmfnhqFNO2exSkyXLqkXOa4g74Qpp/BrbNCSS5TkdY0FKIZm/7W9+EJZ+OjT2rd07Qp\nIU06ZV5IUy5bcqBVHXUKiX923MdT5ISSUh7JHHfQP7NAvKUhST9u7z7v2qvq14aSXf1yQpYI\nKWrXvRCCR0e6Jfev/1kXnkOXjydcSJ8ukUGNvKwBrt3aKkpcwXyPJGQgHw/Sz8GStrmlkKKo\nN+3wZHMOmjBOaS33Po2ZL6TWT0QHjegZXDAdQtqIg37WZbaQInfQJJ+DNX7NmnGb4YjYWEBo\nknFpXkhRk/U53BFNSMJG79qlTGnDel3SFcqzC51ebqjl3PwWIUVOmLLDkUqhlyscuBhfypSQ\nRiucGG2khUR8PXbc0okn4x6j8EYb/SV8aSGRS+BGXrQr1IVk5cWolssIaaJPj5wwbQdfP5QX\nY/DZ3B/h/VziZXXkW/7OvuxDexavl6OMC8moiNMgMQ3vz7mKrbV8Ccaw/2fjTh75i4tXrnCQ\njnMaSc3eYGnz2EXOB67d2iqmrqB0wqIdkZDyot5DhtACyYvu2BvvaKPRheSnb5VqJr61R4RE\nf9JiKMmvyzFDeybWu3MKz8Xfycslx5q+v1yiD4KQymU5QxXMbVN2SF+Mp0jd6SFJm8Yfcx3E\nSGghspFEAabcn7ixuv1O1qFiNmDzfQ995sN9J0iTiPyjayLrMVGeyNj4SK38HiHFoYQ5OxJC\noh0Q0Y31w3ZfSviyH2k7JrLA+0epLDKdTONkQrtApT/wSeiOrkapo5FupE+aISRvbBxirJXL\nCGm6T18jpESH0NK3DQ9f3VxIxpVCH1Xont524QGC8no50erTZ5f6bteExAZIY0KyxowJSdZG\nOyTNC5SBECN3rAeu3doqJq9g5DbN2eHiUG6/T2CG6JZP6/2bwTmSI6euXUVCGto2rZB3H1Zp\nt5SxJukqDmmJkKyXDXn1XfolfLSbkQbxekaExM86YfUyIKStq3CtfNEO4+dY/P4B53PJTsnE\nG/G3Ph0kGMve82BEZMD/l2CkSQYDeMPm3Q99zz7ZIS6KVAetTaknzmOGIVp8IH3rquC3CCnS\nwKwdRC6Kjqzhzt3w3Sw3bFpIrsNzUWgnGpMrpJEmGQxICkmeOnkIhBwxcmRlmZC0emLbokIg\npC3ZYh6Jf87aEdws4ej471auI9Im6cZw3LhHzVkYoWu3fWNt/dvroq4j1d70JKYPFoTT8YUa\n6lhGL2ixzPo7zRydud9HClEk78UrZaSfz2Lg2q2tYu6E7BxIo1F1ZI1wgbS2Qjwf/xoE67sb\nP+jgLS0ubZ7dWnN2GsrtEu7+XGmaSEismlEhzTmFuUBIW1cReWX50PGHGHm7I0KnSgslno9P\nEtJGeXjjHmu1Y3YLeSTdqhyJcg2MhQmi0ZPPrBy5CtcSUuSjsGNtno5kIZF3NurALTkSO3B6\nM499sFHr+3zOK2tbKSQyRyzCHko9Pt4ijsSy8N8LbF//LcQLGSHjTM/FZYQkfkNWSZGpI1JI\niBf07a513Zp2xOeRO+LShneHjfVi+lgiw0ENFhg38go7rKUdQ7B+SDqYIeq5+92WxiWSXZnS\nfUaZZ9yEyaQMuHZrq+C/IaulyBWSL8SPalq6gE49Qler9Q3GW6LluRuWWeuRqGMW/KgMB9Vb\n4NTReZOtiz16F83IqHcIe/DreCcm0FfgJYSkOX2kQuLdZt2E0USxiiGkNVUQP0D6XjSRqqSx\npD7LsNEKbLQZ55Gl+a6NRPqEA2e8cxQHG5SzkK1pSBI8LL/Dl9ZvUAP6I0Fmoh6ijikLFCGF\nPopWlzBf3oQxUnkP4CJCCn6Aa9Vkv6UHx/LSncwhizeoNsK2O2JG8iiZFSEld8StS7amYZ1R\nEJKfCebpqZDcgdA18XqS8ZbIgsh6n9ubz3uxpBhydHSeyMUlhPS45u7d376RKjpKK0nszxUS\n7QCHD7HEbqw0kvkBaeix2+TbjNIdWPENzxorab0+gauI68h3VkJI9ykpMwsU62nHGgkpLYZF\nQoJrN6MKxRtjzZl5WOk8UV6xJzBSvNhYksfVyr7AjQ8K+H2ay2UVIQ3ikM4YE9JQvDgS+WDd\nX0JI0xZIxvxCk8wc16OWKzJDSDOqaJXeJTRN6uLloehINv9E4CB0Ko9/JpUnrGClhYgeyahY\nd9C69i1OXLamOBoQ7RCa0FbhxfXIi5O2QMIrzM2ctiC74l2pUUjaRW7pPtdKM2tro6LcXta1\nsQ2/w2PcF26Uxwzf8EbuYEqaEFJoiPzURWuK49PRjkhHcQhOqSe6OMGAeNqIIXQkMof/T9Sj\nlEs/jqZKIcXd/rAjOHBRivzCWv+WN97S+17HsPlKqqPguvA8hr0KpCvkrhXvUIQ0OGPKhKxs\nTS6JIUJy4pCOYmSAL4XVM/HGwBnteUbmEVd8NC9cu3lVxDpiPzSW4xiMJSXfzFqAinY33m2y\nQkj+G9WQ5TFDG7678Y4rS3yhR/6a6aUUN1bRmuLuTO/frHMU6TsieFKffLxtitDcPEQ4YlFe\nnhlCmleF7EOEH5DhGCTzWhEiky3cK4nJxa039R2UV4nzfFhojMtxSkgm+RiFbE2zhNT653tt\nnDl21nTvbY2QzLrMy/NuQI1C0lyuYcPyjSwhyaTusezY8Qpu2nCEZjY0EOatDEOI4Db5Zuwz\nC41E/lpUiEiZaE2JgUtLH9ew/dI3RTZ+ABN6O7WKSKfZsK+K2XlXVLwBtQqJj/1t5Mmv6JFa\ntoAuchitWwEUdWGGvL7Bmxl1FY+9d9IPhPz0T/Ix0mYmWlNSSOI3J7SkQUh3w3fMsWCUuPtc\nmjnshms3owoipNDS7zLJ8jFS15G0zq2LlORr97uZSlpimPoqkFYO6BRPjm0sFZLe9IfOkK+x\ni5KSI3fXM5V2olYJKQGENKOKNiKVJqsymZQMdIbj8RFesSqkoQjjnT7rHKqQ2fg2KoXk86g7\nKOkGnhSSt430NaItEyE5uUXNvVjrvwI1CskO3/ZjQlICbuOFBUy0yCYc6cMPpMcJebyS/DyW\nf1DBNcKEkCY9uWVCEvJkpooTjFQSHdE6DgiJULOQWDhg+jdkJwpzkHbm94RPr+BYSNbQKUc/\nQ8tkQXutYQcTEmuzrt3GyiIk5JI+EgvJW2943iGt/w1ZnmQDX68AcO1mVSE9rDa8okMedzss\n3xhLauQOZf41SmLEm+/8DzyEI4bGx9soz+BiWRod9Lp2/Z30NuVDpzkTpdrqO64SduTuVCSk\no+p6HjOiq5lASHOqYN1RaNAtU4eY6KFZJ5K2fnWc70DkkeDd+SPW0lBc2BE2jFWsjidEWWbn\naHpTuPXUAnEkKaTUw3lEF6yrcobxJNqgaTax1dVSo5BYww5tkjevILVU4C2VlAooevyVC8mX\nJp52pfUwobYC2Z7DGm9vii+Erol11osfkoh1pCgp+bi414X0JY3cMSRaP0qKbk+11Ckk9+nb\no/+CnzoSBemipGS1mk/KElAZBOH5jb5YssNt+OIdIQkTUnAAycOtYoeDRODiI2LDBsuCo0jl\noAspjJGYkJyx65VUVEdw7ZZUIRp0dIxvREfUpKzNiEK4iGjFLp7n5zaHHd0frlimibaleTrI\n17874qMC/nlBoRYTAgfhiGj5Y3NPMqmMbxv5Y06RsTk3aoSyOoKQllQhWnXLBq9TQoqSDhuG\nakkUwkLXdGbWuFKG8IDz9lrrehGvrNhq5iy5fsGpUAhJ+3GImULqE1jnzcnEMl1iw1Bj11BY\nSIdxESGFD3bAKr5DKikXiQ3eWchjiLvXN+rgDnpcP+L/drvjenwG72G5fzyPkf5hfBXoiU7H\npb1kUtE6+bcmJPa5lPh8CvRyR1CzkNiA/q6O7OPRbHQk2kH7I38kdDJdg3a3mx5hA5kQfWCC\nGHbcZYBCCIlpRhQiBufRaQxlsAulumxuBivTtWMpxju8fOLzWSkkuHYzqiDBhuGjde9cZJ2R\npRtW5lGSep0EHQ1HZOTauokeJabdtryL8n6X+3SLVv0eIzwskjZYwHdYdj7siIknYnnbNKQ+\nOy6kR713E+ITq4XEk8fns3aeF0KaUYW8/Kx9tW3Ln5RlSe1YUjeq8YORcKRrcFwbvZD6ZuXy\n2aGQruU5QRk6ueqLNaR8OVQZmd71WSzbIke8zxYQbZMIyUZpxy81LTJszBCTFBL/VIythRqF\nNOKvRYPXGUlpWI0+OOpajTHEGeMj7RBO84WQOAEtQZ0o1TsGo8KvhBLk1ssnf5Lio8ysaDqj\nFR8kJuULaboHU/rTKqhSSHKIGnqKZGxB2SGO+DFIPKJ3bbMlC+iGHK5Mn9n3WH6DhsSHP++W\nN/2CQqLaNqR3YtXlC0mLBsS2Zbf8SSGRy7UIuHbzquA3t6XIL9CoHQQdsaR04YyqIzogCSu5\nQ/16eIA05lhIvrsy/B/vVNJCio8wdahCytGny65ev3TSSca6L0PNhJDKsODlJ0FHcVhLn0fi\nSckI3/iVccMh3wa9TFx7JPoxRg8PhBYedTPB13MC8gtD/ZEoD0UTEj1mWSlKnhJCynfG3Dmr\naekZV+jc1SgkrhqySxu8RkdEZjag79u+kSmUI0ZdyU1W3/h12jwKwBboGLku3O8QzSoOKSQu\njZSH8QGRkCersXp1RBdaWuC/INKFTSeV4RUIqQy5j5rTPfo3Z9uS1Z4+IO77ECsOiPlNv4P3\nVaT/IUpyWuCQzN4dfLwGwauRlUZy0G6GmOJOSkHrZmgUf6p/04pqxXPxsQWjzhirwpsUp9Wu\nX8q2UeDazagiEpLsZVhSa+W7hH0GPsfJUlDN+SPDFzSJ3nkV+bRRew4Zhm6mHX4fyX3rx3O3\nsqWn13gzQvLg0hn60IRLlSOkMAi8xxNXsY7GIxbSPq1L8gNUCKkcs1/HFe3xR3x4rc0nLnZO\nXmP4JJQ/4nTl8V1G/5dypCtD9n3cRn/GwT80oSOytPjI24wKiUuLk0gLhrsStfyWvO2rTxCp\nJIp6Tvqup6VuIcXOmHSBiCfS/ZFq/xzZ4tmhybxh2YIVR2TmwbZh7klJ252vXqU8QVKxOOLn\niOM80Y64tDiJtD7Rh4RC7HAaipCC29m2rmNP97knpkYhcSUNG3cr9vg2RL0yMpyKGqZvw62Q\nC0s6KaTwKJ7xKx5o3tgd9OvDIwu0M/YmKQ4p3SGLtxl56BG+MNCfT2RB2hnzpQ4oXmArbo+R\neeYC125WFaQRiLYq2jS/8TSP8qxctCF3jBQfySuqJ56qtckj3rbUGccbk8XnnKBNmTSaJ0Ww\npP9TG5yljF3q40FIc6rwjdW7J6K7ad2SuZbCvthTLd+3EaXzMkYUq45vhkzDZFRIMnhYZEfw\nuURf5RcayTOObPQbYW3SYGNUfJxH2SFLC0eMuCgkTwJxFnqUI5wviYu6rq4iH69GIZH2JBtC\nuM2i1ZKGM0l6OGW9Jz8FbcZuV7QjGUz3oovOWNjoT914/1AKadir5LFJIfl5ATJB0Ldw1QId\nWsj4zWSTBEOpbZB/FdQtJH9T3b0d8cpSeeeQnT2ttdjbdMOMOBEdlOuW+GNp/7ANwTORZ9q1\n846ptdEZTbp2pJCpexndHmrSLODazamCNYLh0vshcbgXdAfJGvKweSR1g/9YJQ1DiJmflnc2\nvDQ5TurnkUIpjrhYE5+xD2H4jSg84DeGjMPEEr0oS4INiTwJqLuWVFJUCDG6v/4zgZBmVNES\nN41+c4lWzHeEvGkhhTzDZxwDDkMPvhahbeWaIdokRR65Po/qyLjzog2MWGBdIWHDekdWGDts\nREscuFun5kmXFu1I3CXqrqX0MHKiZpmQDqNOIblP0mbzdoz6ZlGKvgXSI92nIc6YYcvkVI8u\nWoWnHXEb1rBn/6IzDhOlcsbUG5te5GflkWjH1JF0IWO3KZUiTkKMHi5RMu/JqFFIDiaBu9sl\nv2IjB8RrhibjsxxuT1hjSd0T9l0raBUXL0rb+r+i9XHRslOJYS8AYvsttTMcy18Mpx9hz3zM\nXLkz4tVNZHQ3bmZ+uHZLqqBdyX3Y4fcLf43nYhtt/wXP5dDyFshaBPX+Ix2JjklL64Vk5co8\nbQfDr8r2G7yBhyyRoqYXw+lHjhAS8UPnFQAhzahizJObcSQitPIor758reU+ngluWlbxNM9Q\niPWD9OGIOHWnNep2mj6Q4IwVj16MO3BsMZxwIU04Qo1MLthT7pRzVUeS6Jj4fE5OnUIaiS2I\nI1qeKDYnowLBP3Q7DNngFRuZxJg4VCyLF8EGZWRPlEVxnSRLalkhtHO0U4EDklBcJbFMjpQS\nFUJyxuaGMZ+eRGW8Vz4lNQqJjIQCUZDW3+soj+8WpJDiIzyibGmSlh6hY6N0t5cIf9NCem/G\nbcgTD24aS8oKMUxJWvHRtWBXyZs0GDD8hiypJyokraNeCCNJdJYLCa7drCpkCw3DId6WNS8w\niWtacj/pR1yxJpE05Ik2TZwn7p7khjxvMt5xligRfH6VbHxx5GnEa/rIkV5IsbcaFx9bS5Sk\nJykOhDSvCnInw90MR6hwpDNmfROVhTjPjIchjA2uk/vNItmoaHWpFCTGEG1EO5x3xWHf0zwP\nMVpcJRtdHL8RzitUIY8Y/w4Jf3bD5YqLV8zt/5dMwlNPpDg11xRS3IItTxqEFA6QZjWUlmr6\nikq4XNQucLaQohDZiJDUxhq1dL5B6/NV0CN9hb2W5HpdrXhpbfgvkUSc3NRdPzM1Ciluo5Z9\n5B3RE26OUXy8CCJ7Q8JeNP41HGcjmlZz7aJSo/00RBab+3i/sglWe1cy7UUP1Q8CNawXSyKm\nxZSbLorXgWs3owp6/zz6g33R6n/2V1SIv+my3YwciYiPRCEFPdjATOILgcKZuwsg4xKtP2NL\nE6fOWAZeRLH+iBeSPDEWsbCskL563ndOendBSHrXJItPACHNqIK1iJbdw3Bk2OGGEDyt3HBs\nKyT/vU5+ky9VD0nbkrbTUnGMR6F5EpHH7QldTZQk+Iwi/O1xSUPAnxogndC2HdNAmF9O+Xii\n+LNRq5AE0YFkyuPws7rpZXkeniQ6d+fghHh32xruBdqci+J2BG/TFxsMsXxCNs48TA1L59Lr\nQWZRFbXgzAAAGCRJREFUcF6gGfHxJoo4mBqFZKM4gQ19Or/YPF3XMnzEKsQlojnWoVWJHTJy\nraqBHBGHw1f04C35kb032n1tD+EuSwKJVjs/Fn2Iv8rdjrgBcnt8bKENPblP8biyPKHovEJn\nwuuha5P6q5yGrMZKD5ZydATXbl4VXgP+lqpC0kJoPNylCMlI3YToVtjDUxCsb5JiqRBt8sP4\n3YcJhZD89zMJJKZF4U82+ftimUIi8vdROyve+B/0464s0QC/9lHx6dtJNEd8PAmEVLgKrfkO\nB0T/n/afxjyraPySEWeLi/CL4nwpzl9zpkWBMLcRhORSeFEMKbQYViQkt4NfE6vtkWdKjXbq\nZxXSuKG81K52rqMxJcVCUtLGp3EmahVSFH21SuxKfNfKSBX14SI3jKsi7n3iMAQ7IhtR2NPS\nYTsb6tuQeTC/9d/6hj/k2sp4Hhuuhz1DHvEWEX6V+A5yCVuuJO/Z0atpvcjD3dBuGLdVwGoI\nJxMVsnGwQZVvLpULyf0Zwt/Dni4hEVJLfCjRjMP4gGhBGd/oQkollTpie+4hMw24+R3hRK0v\njS//jNpm/FUeZnGMZU1QXCW+ozOHpYjGSK7iXCG1baR6TiykWEmR0TprXLtfKaSgGu7quT1R\n0vC4gRGDl6FZCi3I8Y2Wp1VKI7G5yUKcOrytPljnMofGa3tR+POjp9vtiR5vCM6lC6v5tPJT\nFstSiLbpj9Nrxc40vl/u1EdualiN5P6UhYhbq7NCSFNTwuNcQUiRkvgRestd8+Vq4D9ZTpKm\n+504aRBHNO8i55GizP4kvNR4vxYntSIQRguJNvg1GVw27UjfebTjjXWo2BkxLSS6ViiJmX44\neGN+n5BsdMf8Dnd36QF/OBqQuP2Wa7GlAhI7RLL4CGlXUcW9IrTMPuTsN7x67CB8br0MjBu1\nEB5eo5dLlBYO+LJSBF/ZF2V9iLvVshrvdk6EGw4V0ki4MIcqhRT7Nf4m8rsp2jxpWuQrNPbB\nWkEqaqeJy3+xpvL4JhyCWeJISBLaF0/qT41Eu2QhsmLaSFwpvjS/n7uQHcxbogW6LBMr6mJ1\nKD5lOlg3j8WunVlpQZVCkneM3sPu/60cPbuW5h0kGQVwW/T/4ZOE/iYY+hAtsyzEhIcloqTB\najtMzzotDOfd8m5GqY/Y5ArzF5D5k+TCqjGzSEh8MXcq/O3sUoUUuZ/JYN1MVghpnQU1Cim6\nZXSH/z+P50ZC4q2fZU8KSVOOxDv7PkIoSqNJXQb3KTbC3fWF0PMTMSx/QYak/OyotzTssVJI\n6aE+q4QtVKBTtf4qkhKNVqw/h5Z/HxRQ0kIyTn2cKwhptF27xiQGPbHnEzZl0mQejWguNZ3L\n2+ZzRvV05yd7zJZOyBp+VeINGi+xQ3nDHunakYbOP7VrnyOkZCgusjFKsTO/UkjBZSOzKuQ2\nyh1uiB+N+cOsiHTg9KStPMJg00dGy+zzpN/ZEDpH735ZblIY4PfHxDVhG+ya+MsXhSF8WcR4\nXybzllg3zfOYUBlJngrF+YS+NJliGQtdu/UW1Ciklggo7o/kHuv8d+ll+RCzv5dMDlrS0J5p\ny2lZaURHMm0QkmV5lLcV+QffScOmIxt53/k1EdeAJLCWLk3lR7go/AHXNs0gC28Xz8OrG3JY\n0UYhpHVZylaR49Kx9k1auLLDpxyaQUbSeAfNIyZk47SsxZk2/LpsWCMQWW/5hGwsJH9NoovD\nrxp9Z1zI4yr2KyjctYiT6MWy8xqSyplgeguH4lNGZrAkz3bUKSTNpUthXMOg36at2PBpeZ44\nKW3hUT1D8TYqPjVQcqdB86idCem83AXg84f0CNll2qiZsd6SFj9s9AmioEZLJovJ2IoVQicX\n4g5P3sGW50mlzWgG+Xm2o0YhsfswTTxGssMO9kK4lrb4xHCKlJoYIznTfPFGpjV0I8wHtcPw\nRtbjS2PF22ginhwhOxQluW6SluYqJqX0Bx8fd5aEno7UD9lQB3TcNDXznFai5cFjFLOqEPeR\nNLs2m7iTcJ5ILK9EjkQ/w49EpdloQ+yIp2pl8VaZiB+OEFdLmVzVr5+VFZOaXJLUyadvQhjt\npdfNxfXMQckDIc2rgt5CchNn6EibLfJjzugIbRi+FakOW5xU7AkbyXpCEqtW/LgC8YqW/kgb\n4hHWyiQirf90E0vOo/VF+f8LY8lclwgchNLYlZ24k3RjGl/gjDxbU7OQlGacRHHENhFSrIVh\nj2aTbJtxPW6kxrNYdSK+Ox4cntGJkaGUqOmTKyuF5EzhO2hhY0JKiklmzgFCK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9sajLXvj2jD7d1WYazjdCZ+3R79+PmvYOdv1COkR7Dh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\ngg==",
      "text/plain": [
       "Plot with title \"plot\""
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot(gaw$age, gaw$packsDay, ylab = \"packs a day\", xlab = \"age\", main = \"plot\", col = \"blue\", pch = 2, lwd = 2, type = \"p\")\n",
    "grid()\n",
    "points(gaw$age, gaw$MaxDinks, col = \"red\", lwd = 2, pch = 4)\n",
    "legend(\"topright\", c(\"papierosy\", \"alkohol\"), pch = c(2, 4), lwd = 2, col = c(\"blue\", \"red\"), lty = 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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RizBYgUPo42FjvsKtFJoxvBEUtwaYz1\nspP9gexPdxSPR8hfyT4P0l8vuW+X7ylSzuxfK2gWY56nyWXqwqpX+HLqeYBo9Dx6bSFdrVns\nkNfMFcyyLi5ZFGMiahr9wSL1M7rrazT6C/gg6SLan/e3OxT9VvMSRJJ6erP0ZUIkqeMHdXGl\nxKVCiypLnZLYatZM5oYJTKylLMgsBpHu4hb0rF0rfV/xX/8KC9aouIiewFDJpgLmf7STry6Q\nMXWyzrf0m2bd0tOXBWeMZLHWNcuwtNga3jbeVoqaRu8vkqO+TJFOr6ndQxy636D3I1G/cETF\nBa9ITaJI5hpSJHkiSA1JQSJNEesrFLOsIklhUU1m37IMuUQ2PbE+FjNOMkNYT6ThHbLDY0Jn\nb746RqRYXH1X6iON9rtLWFmxRrrrYDNK7dy20qaMWsRqKFJIUmqzVHs1fpHsrdS4x1GzjJ1F\nctWXe/v72v92FiHPrL6uke7vP/8r+hopDvJ8qp7bfSJp/XIpY7nuJ0RyKCYXKItnsUMKVykk\nSKS5eLqjUSJNkgf4YM4CTbNWRj9QMls+2XCU7todnH+bXo1IjeVgLufZTupvqXMvuRTqpN7J\nSe2Fy4FoMjQepiGKcC1EJHuXN3bUidEGjj1eB6e4mz4i9HsZPkdqT9eSP0eKYe6Kyrpm7tqB\nIgUMGXNtemVzHjqJ2fGlH5b+bIg0jR1Wkeb+RXc0BpHU6iy7sTpz41i38jz9fQ75ODa5inJZ\n+qKybpHIPL9buw3t1/hTqqfRKrMsuEUyeyIZIBm+lGr+V/7Vuh/2ATVII8uemvuzMtpZTYPr\n75HyH7Vb7dsm18PSOWeRZqECRKJO5TaRVOesduhJmmV6ZstDBOiVaDZnLkVvik6vyNKAU3N5\nMBtva5HkubFlc/YjQm0/GN1bEfwXSbfDSzvPCFaNSLYlQpp5jJI7tZrFKJ7q4p4USllLZ7V4\nsyTRy7KUbaxSlKU7NrnFGi/V1Fpa+86uiO1gS2Q/IvS+pf0nDv58Q8ZxCHPf5atDJFvPJfv0\nPOUyj/2imKt8qTT55EhCJOmM39w+Lv+ahZEiNVJzKLtO72BW48dmTsDauBIbfovQkOQi+u+S\nfFzcI1jdIhn97b1BHhvkYzF3SGeHmHvy/K81HCkCW5A2WWe1p3+0fJL6RlF66ZbmILo8kaFY\nfMFmT+2mEcl/kTSINH7t0NM9gpUnEn2klS2yFHK31I+DfDD0PPbip447ZbEGoo8gtor1UuWQ\nliSGAYF3H9R6iJOKtSTPASid7A9kh2uk3zbgy0/G72SVfuGMamXoI61saab+PvUmRw/sbN1V\nmRNJC1OB9J0jqawlEJvBcgGUA1NaPS5rYksoskjKgpIEIi3LEa92Ee+HIMZf6npEiJ54KVss\nvVa+WNFS2EXSh4xuyWe5IOnkqrulgMWaRq94Ls1a/1SnlswK0SzS7nXzFZJU47xf5m7Xy6Yi\nna63u/jphq84rusRIVIkpXsTPW5JKY1VUj+c18w9V16Ykng6HtHl7WPI3NFtIiu93jmjSxfJ\nEmzG0SmBDZ9skGwToq3qESH5+sS5Reo1Whex99lO/c8yFnS2s7fS8RYn/NcwSx1aXWaigNKk\n9EqTKGOjfO6QzwscIiVmW4MtHxH6+7vdTqfhloPnNTDViKSeX807cPIW+yxOX5C64XJOt3bf\nJYZm6VJNo2tp9HkigulfWp9lztfp66NFUiNXC4g5Ll8pUlFVOJkP0NTVxl+MQ6dtMXs66ZDa\njdUVs0jGzMoaq7PrLwJY65u7eNcpeQKDnbRQvVamhepoKW8xS4s+TPZpwh5AJBvzcZ0O/fiL\nLtKSzDZtGwug++aSwuys5jmd6G5E2WSF9MaYkpbSINIARLIgdxP5YI3dTU4n51ika6gLAbPr\nKq7JZUm9y9XdyA7OyNQStpnhsp2MJyy2lMMkV7wzEMmCdMgNkRpFpE7dsnxsEtZBm+WETvUu\nX39rzLzSPvh6r61G++0HewF7ijRVXIZJEElmOTZjJ+nIU765pVN+6Fs6Yttcor00X38z1i8X\nZYuh8wZL1Hr0SxnzGV/7zyhEKd6x0CwLnbopdWKXnJcfiCQzd2lapKk7UF1xmddZfGCYcZkR\nK+vnCJp5X/Q7Y0S5cjFzZmrAM0Oylt7Jm+gtqgzmThLHSl/YFYgkYcxhprX6lm453BZX5HXE\njGhKGTDl0lLoEc8pOjVYRxHObUuxywprBFLFzXzWsStmq3YqYglb2qfAg2Xm3Y/PFynwuLyT\nBosk9TF6vkZ1Vq0wKr9UR9Mousg7p2xxFuUO0rJeHtaUs8fULNKAR/dn2y5JRSwtL52ZQo6V\nrcT9+GaR9C1Ur1W6k7bdNap4u3Un/U8OXq4+46+OGiG6ZY26wVK/mkRpPEtaXxPL9tjrgkhs\nMFbhOC6ObukTaUnW2bekYptpGStsEc/n9LkUaRjtyNtqnWRJJy10UoKlTHMyRsdma2K9CD3+\nqdwi1Ijji0XSt7iGkPd26xbXqnjF4kSS5kPyBctclDYf7Ry7oZXmCtFI2lFd39LEnqRTaY0h\nYeF8ukhRR9lxxdCRMx/LOu1nEvKY2Mi9V15L122s7JzZpLTeJEu7zq1G9XqtiR1Jp+MkFW8v\nslQ+XKSAQyf9bu+D01EN77iMjDuhVjjvGxWMsU2dv1lyKBW6VTIL6Tr7yUopckljSdpok8x5\nbloNHy+S/GNe2VgUozuOS6Q0cseqcZ/IYqXhrJHmeO79XIpJEcnS67UE6sBKHCdNpHpM+myR\nZmP0OZypmNldyI7k74qrQopk7MW8Y510ticK1RqnmW1sFHVsrWVpYjWRdDTUBf04mbuTcND3\n4QtFUiY69mNYDta517xH44IjfHPsMBNoLab+p4/IRgtrxduLspynbMfJEmxuF9iKjxbJfuhm\nkZqpQza2Q032RgZC5lfTv+S4My3MP6f/jV2X8+oNpM2f7JFId2I6dWrmKF7eDbdIlgrpWeB6\nZFX2RSI11jOyvFk71ETK7RnD7uRrCcujB3T+xhyVG+1fS4vNlUvFzOcdvZndjW/dJSqpOmHY\nzqSsuj5apE6Z2jv6XJYzrMIR8S3j07Rb+qUeVZo6w5KapbOIZItgLl3ZrjaxrQ9aQnEfJ2mH\nlJCijncG3hidfK5IS/+Tu2InH1m5mxSCGY20I4pI+hQoqHQtu+1emZy0IYtX2lkZQ5QDsOyR\n+3y/FGI5JGnHPxqIZKdpbCJJFx+NulAqnfbTTNAliyT/2pgeuQY8tZ01TcbSFmHNJJaDtYx1\nRFWrIk+dE/gUkYz2Vrqfo6OVLlLntWTe/0Y5pzaNJKF+JWQrtbO3VWemNWaD8w/paNh2w3H0\nFJEC5oHsfLlIckfSN0iHvVA6ryVakk4+eet9taFEGn+X2sasOGbAk7VpLAfAUsj0f+hRdPZo\nuqB0ggx28CEiNY3WuK6uUSJUsN2yd+PvDSWSOl9rpHTTGnUhLAB7TI1cjRpsN00V9dLp/m8p\nxH1BlXMxQxfqq9dJ5SJJB1Y9TOHdoi6My46l48WL1C1aym0456FioJIsbS+PjrYklqNoq4Y6\n6PwihQ2FDioVSTmO0s1T5bL1Q7GJpCYgG2BMOzfi0n6dVpq9wRsziaUHTm4Gi6TY70mafTHj\njuBLRVq61tz2TZZIGxkYUE14JJ2+v8YKdaMqkrfHN3LH9VesXJ06itWOpieFmrpjFykuAht1\nijTtr62XNOVfHVkiT0iipx5bZm6i0QHZlcZ+9bJcw6jrp7Z2DBnGimmg81xGmYfTSEGkzr2Y\niYgghqpFsvQo6d8KsfTnjjBK1mSeSi2fZ3bmf9aCurkceYY8r1nOTFLDy7FNa/VjY1YT3fcb\ne/pVRMqnSpGkbvfpSLtLpxl7eiM5YJSiWLe0YydpZynWWblWzvyLpbR5UziSvnI92RczK1GX\nSI3v2NYGtS/K5Cggjzb6GJs7ab3cnJbilTJtk0G51KkY+RcjhbXvNz4RdOs7iMRXRfNpIjmx\njy5qEpcGyrL0+9SQdHZj0F8aX1qQftqVt0xVjUJMoxr5IBv1GMXbC6HxVewqzVFNVSJRJ9wP\nhpx4hec1+7Mq0tRDnXV0tEhLigiRlCX9KMshdRApA5dIvqNuJLEfgMII2B9jhbKDnfT//I8x\n3aPbz9yiFr9M4Jb+vfTzRloTkseyoBzkpZDGrCegEBpfxa7SXNVsKtLv9TS8RfZ0+U2pQh7y\n/f1tP3JCCbCePlOoC1kiGXlIKZb6OnvFljyyFNb+rASg17OySGZIamgxXdZJqkjPg/T+82NC\nFVMDrMc6xc+lTgt0NVrSzpXH2GIuuEPqbMXTwap5pJ+OYIk8RmbtIEt5jQWz1M4ohIbOQ4dk\n5LWxoUgX0f78DUuPeysu0VU0xEw5FCNvTmFrVzwn6eTOE1ZsQCvZik/JQ2yJyDNWvBzklEIa\ntRAaOg8dkpqCMmlDkVrxNy//iTa6ikyRzMw5pcXWnJClkxcCdt1MIRcSuiUhpI4szZ9HObTz\nEh0sXXHQkETnoUOiUqhsKJIQ1C/jGglL9mUP14e3Hjl82wYqS+Cpg06it5uxYCneHaxRmnV/\n1KS2CLQVHbnFVY+WN8AkOg8dkiWvrZ56RqQtRVqZiP0xUgTmcfTatC3mUTAjCcxTuUj2era9\nRro/hqWUayR33wHVw3KQ3T0wtmI6b1CX9ZF8+/sozd0Oz8gqstsYlA3LQXZ3wNiK6bxBXdZH\nxudIl+FzpPZ0TfocCYBiqerJBgBKBSIBwEChIgFQGQm9nF8cBsqMigDBrkVNwZYZa5lRESDY\ntagp2DJjLTMqAgS7FjUFW2asZUZFgGDXoqZgy4y1zKgIEOxa1BRsmbGWGRUBgl2LmoItM9Yy\noyJAsGtRU7BlxlpmVAQIdi1qCrbMWMuMigDBrkVNwZYZa5lRESDYtagp2DJjLTMqAgS7FjUF\nW2asZUZFgGDXoqZga4oVgGKBSAAwAJEAYAAiAcAARAKAAYgEAAMQCQAGIBIADEAkABiASAAw\nAJEAYAAiAcAARAKAAYgEAAMQCQAGIBIADJQl0u0g2sv7rWWXdl4sl9+x+coP9u8sxPn9isXi\ng31KERYf7ERRIl2GNwG0fbu9Xwh42DsiN8/23XzlB3uvqGUf7TvYXvvig50pSaQ/cX4d6Zs4\n96f69q/7a4XnZYA7c3q//6OCYNtXhM9T/67f8oM9D68kvtTTDQZKEun0DqbvnRdxfy39iOu+\nEbn5GV+kU36wP0PffPZvny8/WFFZN3hTkkgjfQueRD+w/4nT3sE4eIjj+5iXH+xZ/E2L5Qc7\nzpd768sPdqY8kZ7iqJyViuUoHu/4yg/2ILprO0ycKwj2Ok7trjUEO1NeiLd+OK+gBa/ip6tF\nJCHeb6Dvagi2u/V3G9pbV0WwE8WF+Gj7cbz8FhzmG/WI1N9sOFdykr8Ot+r666IKgp0oLcRn\ne+x/lN+Ch/5ecj0i9ddIj/4+cvnB3vqp3cv6Ww3BzpQW4vH9mUFbegueh/tJ7/iKD1bukOUH\nexD9tdyzt778YGfKCvFxOL4/fX/frnmUe7tGfpN88cHKHyyUH6yoKdiZokS6i+O4dB1O+Pfh\n/k2RyCIVH+wY4aNv3vKDfQ9Dw4de5Qc7U5JIj9mjWj7SruXJhtfV0bO/7PipIdiL6B+uu9Tx\nGMZMSSKdl5P8a6Lcc/Tm2ZdxFlJ+sNclwvKDPdYU7ERJIkmzpfEJ4L0j8jGKVEGw9+MUYQXB\nLhFWEOxISSIBUC0QCQAGIBIADEAkABiASAAwAJEAYAAiAcAARAKAAYgEAAMQCQAGIBIADEAk\nABiASAAwAJEAYAAiAcAARAKAAYgEAAMQCQAGIBIADEAkABiASAAwAJEAYAAiAcAARAKAAYgE\nAAMQCQAGIBIADEAkABiASAAwAJEAYAAiAcAARAKAAYgEAAMQCQAGIBIADEAkABiASAAwAJEq\n4n4S8zu+L624jG9Vvx1Ee9szLgCRauIqBgaTjv3SeRDpNKw97hzctwOR6kGIn677GeS5i/av\n+2v75bs4PrvnUdz3Du+7gUi1MY5CvTf3fvkknq/FpzjtHNeXA5Fq4nG/HgeR3hdHww8xsW9o\n3w6avyKOszEQqTTQ/PVwFofb/WGKtG9UYABHoR4GZR7mNRJuMxQARKoHIX67v6N+1+6nX+xu\nuNmwLxCpHi7jxdBvN18uiXmxfewd3ncDkSriLMTx9/4eey7ta3l+skGc4dG+QKSawfMMxQCR\nqmR4yGDDcF8AABzQSURBVOF5Epe9AwEjEKlKxsfu2r3jABMQqU5uRyEOGI/KASIBwABEAoAB\niAQAAxAJAAYgEgAMQCQAGIBIADAAkQBgACIBwABEAoABiAQAAxAJAAYgEgAMQCQAGIBIADAA\nkQBgACIBwABEAoABiAQAAxAJAAYgEgAMQCQAGIBIADAAkQBgACIBwABEAoABiAQAAxAJAAYg\nEgAMQCQAGIBIADAAkQBgACIBwABEAoABiAQAAxAJAAYgEgAMQCQAGIBIADAAkQBgACIBwABE\nAoABiAQAAxAJAAYgEgAMQCQAGIBIADAAkQBgACIBwABEAoABiAQAAxAJAAYgEgAMQCQAGIBI\nADAAkQBgACIBwABEAoABiAQAAxAJAAYgEgAMQCQAGIBIADAAkQBgACIBwABEAoABiAQAAxAJ\nAAYgEgAMQKQaEcJ+3M4bxwFmIFKN2EX6bXE0dwNNXyN2kahxCmwAmr5GIFJxoOmroHfkdhDi\n/Jh/HbifX4vn+7hOQKXdQMNXwcuQ0+BJ+xh/HVYfR3tOHUTaGTR8FYiZw/hr/+M0rz1BpJ1B\nw1dBPxb9vmZyrRD3bhLp/vpxe3bPq5DXgl1A01fBy5Gf/ufLnXM3KfO6ProNWy/yWrALaPoq\nmB15z+3ev77+fQ4rH/Pve8UH0PRVIIkktH/1tWAX0PRVMA8+mkjziNR2EGlX0PRVIMbLoft8\nq7sbbtrhGqkU0PRVIN53G/q7drfOddfuuXOgXwtEqoLlc6R2/LX/cZzXDo99vywTlz2j/GYg\nUhX0ijiebHj/+UT/uNBxvxi/G4hUBb05PwfRXuRbDl3/rF07PWvXDRdN+IuknYBIVYD7CKWD\n41MFEKl0cHyqACKVDo5PFUCk0sHxqQKIVDo4PgAwAJEAYAAiAcAARAKAAYgEAAMQCQAGIBIA\nDEAkABiASAAwAJEAYAAiAcAARAKAAYgEAAMQCQAGIBIADEAkABiASAAwAJEAYAAiAcAARAKA\nAYgEAAMQCQAGIBIADEAkABiASAAwAJEAYAAiAcAARAKAAYgEAAMQCQAGIBIADEAkABiASAAw\nAJEAYGADkQQAlZHQy/nF2aSKf/8ykgRkzskypWUNAGwIRApLApGAE4gUlgQiAScQKSwJRAJO\nIFJYEogEnHyJSP8k/Cn+BW4Jq8+T55+V7AjAtnyHSP6eSHdjRwcPq8+dx+5RdgRgY75DpAFM\n7cB6QKSwJBAJOIFIYUkgEnACkcKSQCTgBCKFJYFIwAlECksCkYATiBSWBCIBJ18kUg1Al1qp\nXaQP63kftjtfBEQqig/bnS8CIq1XWnTleBCoXiDSeqXF1g2RKgYirVdajQGARCDSeqXVGABI\npGKRVpgK7d6Pdw8AJFKvSGtcU+zej3cPACRSr0hv2B4FWPFSP6I8iFQrEGlKDZFABhApN89e\npYKigEi5efYqFRTFpiL9Xk/D1ySfLr9cVUAkUAQbivQ8SF85fmSqwtpJk693+Ls8nlb4EjYU\n6SLan79h6XFvxWWNKt6k3zhg7+x47Odb2FCkVvzNy3+iXaMKGUztwIZsKJLyChn3+2T2Emkd\nyokErAZGpPUpJxKwGtteI90fw9LK10hvyum+5UQCVmPL299H6a7d4blKFRIrd188rgBktv0c\n6TJ8jtSermyfI9FAJLAhtT/ZQPMhIsHCOihHpMxXRG/NVh0cItXBliI9zqK9dt3tIFrnrYYq\nvtcOIgGZLR8Ravux5nZlfURoNyASkNn09vdrHLq04vzsnpf1b3/n4Om9kc/94BrpC9j0A9kh\ntxhufK//gWwO7t4b+wAdRPoCNn9EaLyRsP4jQjlkfd9+TlItH554rYYdRqT+32fNI1JokoSk\najaIVA87XCNdnuMyfxVcFCESQ2awGbhrZwMigUjwOZJO4ITK2GZPrBS28p9IzUkh3/aU82TD\nxlVQhF6ZhIn0DyJ9CZ8rUk5vSpnaBXwNC0T6XCBSYl6IBGS+WaSsr/LaSqQIeOuBjVFAJHOt\n9xrJSOHO069a+zOhfzYyS2QK7TuASMZKb1c0UnjyDLcZ1hXJ6hFE2pCPFCmwN2FqF1QaCOET\nRQo9LZvbpjX0logVIRWyApF25BNFepPyBDdEGvOvOg/9SL5UJGLQgkjv7BApmi8ViUgBkSyl\ngRAgkm1NwBaItFLeSoFI8y/UhMa+BSKtlLdSINK0TF0XsH44UxEQKQqIFJaHnvSVA29sECmK\nzxXJD0Raq7SSW2klIJJ7jbyl9BleGSKV3kor8c0imThFKv5SqYigim+llaj9rea8YGrHQzmR\nbEbtbzXnBSLxUE4km/GJbzVPInBGUmoXKWs+VUIMG5MhklDx5tv4HbJxhE7tC+0ihV2YlBDD\nxmwo0jZvNU/5eD8iz253xrZ6cMI/u928larg495qDpHygEhpfNxbzVcWiZdPFekLyRbpp39X\n+eknJOMmbzWHSHlApDRyRZrkcN/OHlnhreb0Q9gQKQmIlEamSLfXdO314zVVu3FFpFfhxvUH\nD0H3sJSkW3aRxBjXvKNIV5PSst9FpkiH8QbCnzhkR5L0VnP6TyHCDnd+z0jOlhbjit2Xrial\nZb+MTJGE0BccPC/9rbrr4TUR9FxT7TW1S2Gjp6S36reY2qXBNiI5b2cPPNqXbe+XJPE9IlSl\nSJvHGAFESmPDa6SzOD1f/5wfw5uS8m9/26cZECkPiJTGhnfthveZjy81Z3iHLDFfpw93QBdJ\nASKBjuNzpFPo50jDZVQrpF8YooqY2vGLlHrpDZE+jw2fbDj311PX90XV0z2E7S1SWFdJvocF\nkT6PDUX6E+3lrzu1L5PuB3HnqWJPkeLTdsad5LWqSQYipbHlX8je2+WDoitTFet0xfVE+oRP\nYmqNe1VyRbodYj5D/TkPyU/XB1dUgQc1sveuOCIpWersknVGvTKZIl0THkaIrMJNwtUMW6nx\nafUsdXbJOqNemUyRmJ+xs1Xhhn++FiEd/82G0vvoB0xMV4LrESFeVimV/VbcCnftCu+dn3CF\ntxKZIl2E8++KUuH8yuKAXhuwhS7N36FSiqczb02BIZVI7s2G09Hzp0VJQCQ689YUGFKJbPjl\nJ+tGZbCBSIETHfs2JW8tImFqRwGRwrbYSgu9YrBuU/NWIhKukUhq/+5vvwMxH9X7J3AxW/wh\nBYxvEbtBkzD9XNvtT/MQIjnzbCgScbaHSHWw5bcIpVbhwtpr/1nxJ1E7j70UB7aQ6OKJSIi8\n/3YRiW6/bCBSxrcIpVXhxCaSu587kig9PVwgrQLyoiLgQou+INlDJLr98oFIZX6LUMCUKyXP\nltdIgcEaYGpXAuV8ixBVBYl5wnaPFFJGS2bPYJOSxxIkFZt7HmXfYhTvb6WAhqSDVkLKwh9S\nfWz5LUJpVVCYx9nTWaWcZmYq77I9Ok/A/JAOKWCL0Qb+VgpoSEvLujKnsE6pO7PhtwglVuEm\ncrZk7xvrTO14JnAFTu1Y+ByF3lR6jZTYwYmT7KeJRF+lkUCkTCq9a0dfXKx04wAiMQORkr9F\nKLkKCzHDjC2PPQWPAymFGDFmbdldJJbZZl1U+mRDRK9V8niun62l8eWBSFFJqmJTkX6vw2td\nxOmS+1qXRJF8N6IirqtS8tQgUkSwAaVlJamKXJHeX4zfXgL+vu95kJ4Vz/jub2snpccDI0/s\nNC1lRJp/6koRheiFJW+x1+LutanWu0rkSFIVmSINX4zff4rUer4XqBteffnzvlme9epLe4+U\nj4uZQl0R11t9BpCnf4uEHo3ySalnheg+zZIAMkU6inM/Fj0v4uTNx/ky5oDJi/9mQ0CxKVsi\nZpsrkVAPX4wbnTJKY8MnG4Q1Y1pULCLxypdy2UYWlsdu10jG5WF41trJ/jqu98XRM0Ck4kak\nmIuLMJHsM7lqRLJOgCNFis7zIWR/i9Dw5Se/R/c1z5i2vb+vpLKukQZSrmadIhEn0jiRKI8q\nEUkNGSJFseWTDUfprt3BeZtve5GS8rh1+c6pXXSeD4HnyYZj2JN2v5fhc6T2dGX7HCkiCft0\n0DPuQKRvovYnGwKTGP3dMMBUInCi47o20kRzR22TMg3S9oCK6d3x1ckXf42UI9Jq3+3V+bTR\nr7Mps95rzbIDPfKItE5HDCjVEqY9/PB6IFJMlvTvtfMmzhDJf1fAkdQ/K7NvsfYif4qUORjP\nrNbYEjO1i2jihBQpSQsAItnWRIpkPx37U0AkpqQFsOHULkK8+CoCruz9dxJSxh06T0zxZIwm\nK4sUsSUlNoiUlWXgt61bJM+oApEgEkOWX/+zdt3zJI7DJ7L5U7sIKcZfLNfBsSNS5BaIlJQi\nJWkB5Ip0ibpG+hGi/1vazUWy31CCSBCJjexHhCbuQXkfR3F6riaSoktCbxp/2R7f7tpi86f4\nZ11BJ83aEhm9J3NWPbuQ/dDqT3cUj5cfoe8bu4r2zixSYCe1HxFnx9uKgHYzYvOn0M8tah7e\nLbHRuzNn1bMPDH9GcX2NRn/hXyP0d/DPA/O+/IQ4DNYj4knqnJUZFdNJzS3JXYVlake3UkA9\nOV0bUzt7ll6Je/+ddjGfI53zRLJ2X8/NBusKegs9UYywI+UaKQAukXylQaQoMkU6vaZ2D3Ho\nfrf7ymL7OMAvkj7K+erxD1EQCSJRWYbLneHPI85sIXWRUzv7ivwRia6HVEw3iTAKIjEnLYDc\n29/X/rfXXM3/d33JVdiIvCAhMieWRo5VlEcJIkXkSTmHFCQSWdp3ibQOMddIls5q3yIVQJTm\nuc6JtMPewT2xGTHyixQbQcQWPxApKwtnFZ6zviWFWQKR1n2dQ29RS3WK5IvNiDFFJCehEWzF\n/hGwUJ9IAxHjDv/Ujr5GCihkd5GS86zE/hGwUK9IngEiQKSAPHHXSAGF7D8ixSZdm4JCyaFe\nkRxzPGq9bTwgCyHL99Xj2kLXpuxccJ6A0sj2C2TFjh4bdcnUKxLdw+ieZ66iuylZvq8e1xay\nNmXfgvMElEa2XyjrdfHoqEumXpHUhS2mdvb+GnmNZN+SsoNk0gCKEGmb8jcCIgWXRpz4IVIe\nEGlFEkVSunnk6OK2JK40arKVe5dDXSDbwoTO44c+EfFAn/Cq4pNEUvtu3Oji6fpxpZUvUgQQ\nKYgKRYoYTCKS0nmUJBE9nUcX1i2ZIy2VhyYiScoMtSDqE8k429On/4ikdB41yVeJFNoWNBCJ\nNwt7FeuMIbHn5y0qtu5xamkreUqTI1JdQn2ASHxjSOT5eZOKbXucXBpEWo1NReJ5q7m1+3oO\nt97nvdB5AkojKg4a1rRCbHsslebfdXupqSLRMVLHKigJ3X7VsKFITG81d/Ra64Krs9K4OnhA\nZmvFQcOaVohtj5fS/LtOlJooEh0jebBCktDtVw8bisT0VvMEK5YDlJ53VWjbM/dYKoehELpw\n33EKOpLxA15BbCgS0ztkcw54Rt5VsZ2Wxy15eyzXsB7+4xR0JOMHvILY9Ev0qV/iq/BfCQVc\nIPBfervrSyqe3OOU0vj32B6sI2oyCX0tRuUsivpGpAH/Zbt97q2vMU6JWfLRBTui9hTf6Su+\nQSRrG5XNttdInG81d3RWZcF1sWwRyVNsWj3BUUMky4oq2PL2N/NbzVPP+vmdR5fPTEp6Gl1x\nRyWFSEWx7edInG81Tz7rZ3cevx1Wj9JEYt2yVcUzMa7pK8wsJatV4ZMN9l7qICVPKUQMeGqe\n+JrIPMHtZ5dCL8uSxLoCIqUR+jq/6B6S0quKwdrPfHlYWymiNGtPN0sLBCJRPM9CHMf3KDHc\n/rYc8C7+UoXeYl0IGhh8sfHOlrKSRlYc0OZ2EhyASATP9ztk3+/IzBfJ7L3TFjKJRReHYtYF\nf/H//LFVK1JAmxOwOACRBi7961+et3Z4zC5DJKr3ukYXss/PmX0pUuAMydj1QJHcIZn10Fc1\nEaMzfbxcBzb4oKcWsiabfiA7/Hi0h0eOSKEdjxx3rJm9KVLgDSlp+PQUYq1Hz+EonqiHPl6u\nox580BMLWZUdHhF6Ho8rPSJkLBi9yMyjd6Mlqda5XKVZt3hGpIjdYNviSWoNdiaiZU38084A\nylTozYYiHcT0IezhuI1IFjv0PIRHttM/XZp9S+IYsuYWd1J7sDMRLWsCkViyDNzml5E9xJHv\nGilo3DEWIguhpfOMSP6KA4KNLCR5RLIvdNIKumLbei2zfQVEiuYy23P3vI+Z6ctPlJ/uM6qn\nEFueOadjRPJXHBCspxCpZbylRSS160BUTYVkVkhGEABEGvk7TUuP83oj0tLByYmbmXoqOiKP\nqzSGQsai3DtINQoZGJ1UagJlgXeQlAKmSnMded+K/SjnyYbQKiwdiupnYb1LPe7heRylcRQy\nF+XYQbJRqNIcSZcmUBdSBkmItFIW9ircJ8OYLpLTrdx5sk/ygVsCG4VOGlExvccxIrnbnAYi\nsVfhPBnGSEEcU46z8K4ieTop+7jjaz+18kSRLCXF51mJikWijkeSFCFbjGLd9bjyOvMo21NH\npJykK7VfYAQ0u49IjvrqFSnYI66OYBQbIoUvWEsevRJfsHKj+HYjKOlK7RcaAQ1EYq0i3KBY\n4ga6naEbxSNSYPGsbREzTLuOPLXHG/FRIrEdXPvhXrF4XuhGcYsUWjxrW8QM065DT+3xRnyU\nSANpFyTUMWO6RqK3BBUfUTHdKBFJg9svLtjsLTSY2rFXkXZBkieSkZku1lNPbsV0o0QkDW+/\nqGDzt9BAJK4qhh0JUqRwpP0xtyi/BowQHV2amkNrSDKCrP3xFx+wxRKwbXe2FMndoBWKFH+U\nS8Zy+te3e0cIqXWoWmIaMqWFtZB45gdKvNbd2VAkIoKZ+kSaFszDEHqAnH3T2OI7+gl56NhS\n5kRy60QU70mq5DH2OCVYuv08+yXvoGfFynzj1I5r0pJSD0shQZM+o3XMPHO7JbSfLw9dcXAE\nEGlNGKZ2mSNFMHGzl4hCQiZ9c6NMC2YeJUlk+3nz0BUHRwCR1sRWhXGAzCPmP0BhnSimnqA8\nUkix1UcODMqCe0VAIXSSyGADp4O22pQu4FuxMp8gkuWg6UfZcVDHBaIjuvDVE5RnCSmh+mU3\nyETmnvpXBBRCJ4kNNkwka22eq8JN+QSRBiLm+CkkDlq8MYQMeEtj2BolZSaXGZK3iJQxsdNX\nQCSuKlbu6ImDFm8MAQPe0hjWRqFP8quF5C0iYUyMMWtro0zqEyngQiFmi7cLbKFW3Bli91GT\nImCYiRhyPSIZFe9LfSK5Wz9uap9+vcNL3NhRqkchnx5HDLlukYyKQ6GT+se3j5ramac8/6Gz\nL7gvLhxbjAW6IxiF2HtOyAnbWR+RxxYSUYgtpOAtrjb3heYM1qjYfUgDgEid/bjET7WDLi4c\nW4wFuiMYhRA9J+SE7aqPymMJiSrEElL4Fkebe0NzBWtU7DmkAUCkLniGHXPEAhOGFBsxUkj7\nExZAWEgrXz2lRM0YUsAeB/Qt94zRvsVIYVKXSD0h7R18aELTBp1aI0aKeV/Su5l1YEguLazK\nhKgZQwrY44C+BZEm9KYcV5pbzCMRNWREl2YLybqQealCZ06vx1OqLzMdbFAeX7DBe+zBWrGt\nUymFW1KYRW/7Mubr6f2usUvGy5jtext2oWDmJZPmjHxLSPaFzEsVOnN6Pe5SvZnpYEPyeIMN\n3mM39optnUop3JLCLHvLN/YdpJfEHvOqcJ9854XwQ+c5C6dcI41Fuw5R1MnXloTe9bD9Ct0S\n0FxkSAGl+VcEtkUA9U/tLqL9+RuWHvdWXLKqCOtNRNuHnQONPNSxlBPpx9h//MO3WJLQux64\nX4FbApqLDCmgNP+K0LYIoH6RWvE3L/+JNrmK8MMdPs/QMgeNSHQ9RsD6gmN3qDxmSEbx/tKS\nx21/W5gV06XRO+gPlg4pEP/MoXSRlDe5mK91ETKOYqyH3ewzQWMIlTloRKLrMSLWFxy7Q+Wx\nH3+91ID9CmylyLYwK6ZLo3fQHywdUij+mUPpInGNSD0R43PEoWMuzR+skSSreHrN/m3h3w0D\ner8iCnEUm3CcyhDpdY10fwxLK1wj0VsgUgltAZFYsrw5SnO3w9OVMkOkgKTG8TDT+lesIxK9\nJabzJOxGjEjkiqRdj4BFJKM0ekUM236OdBk+R2pP14zPkQYgkguIFFMavSKGCp9s6FlJJDoz\nuSJgSwARmVOijig1YgdTTkS8QKTcKiASU2lGFoiURqEiAVAZCb2cXxwGyoyKAMGuRU3Blhlr\nmVERINi1qCnYMmMtMyoCBLsWNQVbZqxlRkWAYNeipmDLjLXMqAgQ7FrUFGyZsZYZFQGCXYua\ngi0z1jKjIkCwa1FTsGXGWmZUBAh2LWoKtsxYy4yKAMGuRU3BlhlrmVERINi1qCnYMmMtMyoC\nBLsWNQVbZqxlRkWAYNeipmBrihWAYoFIADAAkQBgACIBwABEAoABiAQAAxAJAAYgEgAMQCQA\nGIBIADAAkQBgACIBwABEAoABiAQAAxAJAAYgEgAMlCXS7SDay/utZZd2XiyX37H5yg/27yzE\n+f2KxeKDfUoRFh/sRFEiXYY3AbR9u71fCHjYOyI3z/bdfOUHe6+oZR/tO9he++KDnSlJpD9x\nfh3pmzj3p/r2r/trhedlgDtzer//o4Jg21eEz1P/rt/ygz0PryS+1NMNBkoS6fQOpu+dF3F/\nLf2I674RufkZX6RTfrA/Q9989m+fLz9YUVk3eFOSSCN9C55EP7D/idPewTh4iOP7mJcf7Fn8\nTYvlBzvOl3vryw92pjyRnuKonJWK5Sge7/jKD/Ygums7TJwrCPY6Tu2uNQQ7U16It344r6AF\nr+Knq0UkId5voO9qCLa79Xcb2ltXRbATxYX4aPtxvPwWHOYb9YjU32w4V3KSvw636vrrogqC\nnSgtxGd77H+U34KH/l5yPSL110iP/j5y+cHe+qndy/pbDcHOlBbi8f2ZQVt6C56H+0nv+IoP\nVu6Q5Qd7EP213LO3vvxgZ8oK8XE4vj99f9+ueZR7u0Z+k3zxwcofLJQfrKgp2JmiRLqL47h0\nHU749+H+TZHIIhUf7Bjho2/e8oN9D0PDh17lBztTkkiP2aNaPtKu5cmG19XRs7/s+Kkh2Ivo\nH6671PEYxkxJIp2Xk/xrotxz9ObZl3EWUn6w1yXC8oM91hTsREkiSbOl8QngvSPyMYpUQbD3\n4xRhBcEuEVYQ7EhJIgFQLRAJAAYgEgAMQCQAGIBIADAAkQBgACIBwABEAoABiAQAAxAJAAYg\nEgAMQCQAGIBIADAAkQBgACIBwABEAoABiAQAAxAJAAYgEgAMQCQAGIBIADAAkQBgACIBwABE\nAoABiAQAAxAJAAYgEgAMQCQAGIBIADAAkQBgACIBwABEAoABiAQAAxAJAAYgEgAMQCQAGIBI\nADAAkSrifhLzO74vrbiMb1W/HUR72zMuAJFq4ioGBpOO/dJ5EOk0rD3uHNy3A5HqQYifrvsZ\n5LmL9q/7a/vluzg+u+dR3PcO77uBSLUxjkK9N/d++SSer8WnOO0c15cDkWricb8eB5HeF0fD\nDzGxb2jfDpq/Io6zMRCpNND89XAWh9v9YYq0b1RgAEehHgZlHuY1Em4zFABEqgchfru/o37X\n7qdf7G642bAvEKkeLuPF0G83Xy6JebF97B3edwORKuIsxPH3/h57Lu1reX6yQZzh0b5ApJrB\n8wzFAJGqZHjI4XkSl70DASMQqUrGx+7aveMAExCpTm5HIQ4Yj8oBIgHAAEQCgAGIBAADEAkA\nBiASAAxAJAAYgEgAMACRAGAAIgHAAEQCgAGIBAADEAkABiASAAxAJAAYgEgAMACRAGAAIgHA\nAEQCgAGIBAADEAkABiASAAxAJAAYgEgAMACRAGAAIgHAAEQCgAGIBAAD/wFJBCDTqfD2WAAA\nAABJRU5ErkJggg==",
      "text/plain": [
       "Plot with title \"plot\""
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "par(mfrow = c(2, 1))\n",
    "plot(gaw$age, gaw$packsDay, ylab = \"packs a day\", xlab = \"age\", main = \"plot\", col = \"blue\", pch = 2, lwd = 2, type = \"p\")\n",
    "plot(gaw$age, gaw$MaxDinks, ylab = \"alcohol\", xlab = \"age\", main = \"plot\", col = \"red\", pch = 3, lwd = 2, type = \"p\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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HmK0OjZ2kU8H5qW3W+YlB1Fbs9seBXJW0KpQONuHLk9RegpXSqk3yDSOLKukfDo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",
      "text/plain": [
       "Plot with title \"density function\""
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot(density(gaw$age, na.rm = TRUE), main = \"density function\", xlab = \"age\", lwd = 2, lty = 2)\n",
    "mu = mean(gaw$age, na.rm = TRUE)\n",
    "sigma = sd(gaw$age, na.rm = TRUE)\n",
    "age = seq(0, 100, length = 10000)\n",
    "y = 1/(sigma*sqrt(2*pi))*exp(-(age-mu)^2/(2*sigma^2))\n",
    "lines(age, y, col = \"red\", lwd = 2, lty = 6)\n",
    "legend(\"topright\", c(\"empiryczny\", \"teoretyczny\"), lty = c(2, 6), col = c(\"black\", \"red\"), lwd = 2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "$\\frac{1}{\\sigma\\sqrt{2\\pi}}\\exp{\\left(-\\frac{(x-\\mu)}{2\\sigma^2}\\right)}$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\n",
       "Call:\n",
       "lm(formula = gaw$age ~ gaw$MaxDinks)\n",
       "\n",
       "Residuals:\n",
       "    Min      1Q  Median      3Q     Max \n",
       "-24.828 -11.042  -2.943  11.557  49.743 \n",
       "\n",
       "Coefficients:\n",
       "             Estimate Std. Error t value Pr(>|t|)    \n",
       "(Intercept)  42.82778    0.59444  72.048  < 2e-16 ***\n",
       "gaw$MaxDinks -0.15706    0.02512  -6.253 5.35e-10 ***\n",
       "---\n",
       "Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1\n",
       "\n",
       "Residual standard error: 15 on 1386 degrees of freedom\n",
       "  (226 observations deleted due to missingness)\n",
       "Multiple R-squared:  0.02744,\tAdjusted R-squared:  0.02673 \n",
       "F-statistic:  39.1 on 1 and 1386 DF,  p-value: 5.355e-10\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "model = lm(gaw$age~gaw$MaxDinks)\n",
    "summary(model)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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a8vVhurZN97ZECCmPwcfN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\nAeAAhASAAxASAA78H8AhVPw9NlHiAAAAAElFTkSuQmCC",
      "text/plain": [
       "Plot with title \"\""
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot(gaw$MaxDinks, gaw$age, xlab = \"drinks\", ylab = \"age\", main = \"\", col = \"black\", lwd = 2, type = \"p\")\n",
    "abline(model, lwd = 2, col = \"red\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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XxNtcQgMr+uU9JJGUPa3O19LNnxT1YS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\nBAGEBAGEBAH+D50Lm9CBTOHPAAAAAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot(1:100, 1:100, col = \"red\", lwd = 2, type = \"l\")\n",
    "lines(1:100, 100:1, col = \"blue\", lwd = 2, lty = 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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NkwJwQiIRIiCYSwLoRbKiLV/iJp2dA8kW4z+qeASE6GU4xIZYqkDQyR+u1gIrlM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\nP147gxcAAAAASUVORK5CYII=",
      "text/plain": [
       "Plot with title \"plot\""
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gaw2 = na.omit(gaw)\n",
    "plot(sort(gaw2$age), gaw2$packsDay, ylab = \"packs a day\", xlab = \"age\", main = \"plot\", col = \"blue\", pch = 2, lwd = 2, type = \"l\")\n",
    "grid()\n",
    "lines(sort(gaw2$age), gaw2$MaxDinks, col = \"red\", lwd = 2, pch = 4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Boxplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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FqNHXZo7n4htRo77NDc/UJqNXbYobn7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\n/wNuVE5wectpsgAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "boxplot(gaw$age)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "   Min. 1st Qu.  Median    Mean 3rd Qu.    Max.    NA's \n",
       "  17.00   29.00   37.00   40.09   51.00   91.00     226 "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "84"
      ],
      "text/latex": [
       "84"
      ],
      "text/markdown": [
       "84"
      ],
      "text/plain": [
       "[1] 84"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "-4"
      ],
      "text/latex": [
       "-4"
      ],
      "text/markdown": [
       "-4"
      ],
      "text/plain": [
       "[1] -4"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<ol class=list-inline>\n",
       "\t<li>87</li>\n",
       "\t<li>91</li>\n",
       "\t<li>88</li>\n",
       "\t<li>91</li>\n",
       "\t<li>87</li>\n",
       "\t<li>85</li>\n",
       "</ol>\n"
      ],
      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item 87\n",
       "\\item 91\n",
       "\\item 88\n",
       "\\item 91\n",
       "\\item 87\n",
       "\\item 85\n",
       "\\end{enumerate*}\n"
      ],
      "text/markdown": [
       "1. 87\n",
       "2. 91\n",
       "3. 88\n",
       "4. 91\n",
       "5. 87\n",
       "6. 85\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "[1] 87 91 88 91 87 85\n",
       "attr(,\"na.action\")\n",
       "  [1]   1   2   3   4   5   6   7   8   9  10  11  12  13  14  15  16  17  18\n",
       " [19]  19  20  21  22  23  24  25  26  27  28  29  30  31  32  33  34  35  36\n",
       " [37]  37  38  39  40  41  42  43  44  45  46  47  48  49  50  51  52  53  54\n",
       " [55]  55  56  57  58  59  60  61  62  63  64  65  66  67  68  69  70  71  72\n",
       " [73]  73  74  75  76  77  78  79  80  81  82  83  84  85  86  87  88  89  90\n",
       " [91]  91  92  93  94  95  96  97  98  99 100 101 102 103 104 105 106 107 108\n",
       "[109] 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127\n",
       "[127] 128 129 130 131 132 133 134 135 136 137 138 139 141 142 143 144 145 146\n",
       "[145] 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164\n",
       "[163] 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182\n",
       "[181] 183 185 186 187 188 189 190 191 192 193 194 196 197 198 199 200 201 202\n",
       "[199] 203 204 205 206 207 208 209 210 212 213 214 215 216 217 218 219 220 221\n",
       "[217] 222 223 224 225 226 228 229 230 231 232\n",
       "attr(,\"class\")\n",
       "[1] \"omit\""
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "summary(gaw$age)\n",
    "51 + IQR(gaw$age, na.rm = TRUE)*1.5\n",
    "29 - IQR(gaw$age, na.rm = TRUE)*1.5\n",
    "na.omit(gaw$age[gaw$age>84])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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BQhPdiMkDJLDolrJLu9zxwS10iiwy45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\nAQKEBAgQEiBASIDA/wOv165Ey7J2kAAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "boxplot(gaw$age ~ gaw$ethnicity, xlab = \"grupa etniczna\", ylab = \"wiek\", col = c(2,4,5,6,7,8,9))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### barplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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4h0AETKgkiItNy5q0GkWeRv+XEakQ6A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\nkQAEIBKAgP8BWg/Ehi5DefkAAAAASUVORK5CYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "barplot(gaw$ethnicity)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### GGPLOT"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "library(ggplot2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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jpqpWpI6aiVqiGlo1aqhpSOWqkaUjpq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\nQ5IWyJCkBTIkaYEMSVogQ5IW6P8pVQMSmNQ+0QAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ggplot(gaw, aes(x = age, y = MaxDinks))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Warning message:\n",
      "\"Removed 226 rows containing missing values (geom_point).\""
     ]
    },
    {
     "data": {
      "image/png": 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3bXoPzubxGoGpqa4yANvFDpLBYXX9cdQSREQiRNqY0gEiIhkqbURhCJNZIWqBqa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\nVMj/AT1zzk4qh46HAAAAAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ggplot(gaw, aes(x = age, y = MaxDinks)) + geom_point()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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34sF0TShJ+2431FenxB+ra8+/MnIknC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\nDkEkQhyCSIQ4BJEIcQgiEeIQRCLEIf8HlTrzYs/3T1cAAAAASUVORK5CYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gaw = na.omit(gaw)\n",
    "plot1 = ggplot(gaw, aes(x = age, y = MaxDinks)) + geom_point() + geom_smooth(method=\"lm\") \n",
    "plot(plot1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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TaGq3oEfkP2/UdQec62xkZFOp0b/TgM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\n8n+V6iKMlcaMAQAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot1 + xlim(c(0, 100)) + ylim(c(0, 100))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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AdTcw69YVoi/+Df54yLNPMqp9PiF+w0re6KOG8Fn711m5giXYZIf+1Ttfh2M1Rg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\nkJIfAAAAAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot1 + xlim(c(0, 100)) + ylim(c(0, 100)) + labs(title = 'Plot', subtitle = 'plotting', \n",
    "                                                 y = 'Max drinks', x = 'Age',\n",
    "                                                caption = 'AAAA')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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ep6MxGkcpB050jbHC1JuhekS2ISJFbab3F/4BhWbC6qLJSq6+1EkEYE6VHwcHJc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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ggplot(gaw, aes(x=age, y=MaxDinks)) + geom_point(col = 'blue', size = 3) + \n",
    "geom_smooth(method=\"lm\", col = 'red', size = 2) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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hH0ZtWH9AdrFeaRo7eW4m7y/U+qR7HxditxDCq2MOwp0qhz0Em/aQS9WfUh/VUP\nCvPI01dLcbdVg8EfSWm9AbhgDCq2MOwo0vGoegweJP2mEfRm1Yf0lw8pzIOhq5bibusGPj+S\nUjIGFVsYIJLiQ4jUiRxXtBuFii0M+4l0PKoegwfH3ch8QavCPJhmPbUUd9s0GHvfohxXthuF\nii0MEEkPiNSJHFe2G4WKLQwQSQ+I1IkcV7YbhYotDNFF2u5dtuhHAJE6kePKdqNQsYUh9skG\nsoOk3zSC3qz6ECcbOpHjinajULGFIbRIdA/0IodILRHrBhApR+gLspkCJhvTn9Obnw/T3qS2\nmYfPC7Ia66uoh65ayqNc/RwXZHNEvkXomLD9CRFBb175kPzfkt1WD1f3NXSusILde2pZNMrF\nD3GLUI7IN60Wrtbq1wd9y2LoKclMXCP1o8RNqzkgUmVvIhBJD4hkUh+I9AsiFXc1mMgiFb2j\nL18k2d7qbBh7I2EmrpHqUUKkHJOLVLNOMr3VCgGR9IBIRvUp9ajOpI4ufg3/sFUmrpG23xJm\nQCSz+siv62pWSuZ1XdsvbQuN+mvZ8rrVDIhkVh+W47Fag/4u4q41d2kQya4+LBApdhpEsqsP\nC0SKnQaR7OrDUmYB+9NVFwU+xV1r7tIgkl19eAo8khqkXRQ9NcVda+7SIJJdfXhkkcQWSYOy\nF3lx15q7NIhkVx+B4ickiOQwDSLZ1UdEfn/E2nGkYQLjrjV3aRDJrj6daRDJcxpEsqtPZxpE\n8pwGkW7kvlF++C1CSTD/qU51kQTL9GmqZfMoIVKOgSLlv1F+8E2rSXAm7bmf6EbSQPao4AlL\nm4ZadowSIuUYJxLzlTpjP0aRBGfSauRobGtGfS17RgmRcry6SOUnyH/JbSGSMhApXc6L7x3V\nrM9x3e8mmE5b7ScuqaRBkXKmJlXXsmuUECkHRNIDImkDkSCSFRCpsKvBQCQ9IJI2EOlXmJMN\nmpd+dvAIJxtKuxrMy4ukufQhkjIQ6cpzOY8SyeKCbMtwfIuEC7IjGHyL0H//+/cbf/wxSKTu\nW4ReUiTcIjSAwTet/v3h0R3dkw2FdN20WoNqZ6X4qaXvOBVbGGxF+uOP9w3/o1efAiBS1DSI\n9CAj0t839OrElZD5GUTynAaRHggi0ULRC1HcKu+2bbxa+2JvyZuvpMFta61I2x7ywZn9bN+P\nQaQ8FiL9vfJoK1IqFL0Uxa3ybmTjdOmLvSWnA5MG+bOTLGQPBWfUxFGOBCLl8CXSqu2zH3qJ\nJlvFBpnG4sME+soYc72Mo7UHcZRDgUg5XIv0fKIaJhL95ASRMkCkHD7eI1EepSY9zp4vFs2R\nRmywapz8w/aW3sSXNKC3Ssf1SPZAB+f2q4jTAtq2YT4AABnqSURBVCLlCCXSfeutc3FRMQIV\nN342gEgQKU9IkdZbIZIUpwVEyjGFSEuhnumMQPdlKzZ+NoBIEClPiJMNBVvTBs/4dKUljx9L\nt+7UBX1SgN4q0tqDOMqhQKQcM4q0brARKVm5CRBJBiLlMBHp79Ui50Raty3dKu/2x2PV0SL1\nX5CtukLa2oM4ypFApByjRfq/N+4r+rG8WZFWbcu3yrvdHqdvdpbDTVYlvUCTXZIG9FaR1h7E\nUY4DIuWwEGmFKJIym7T/Jvytfuds3LXmLg0iPaBEyrGXSGt6j1jn/q7j4k5OxRaGwSJVeDTM\nq1qROsWKu9bcpUGkBx0iMYLRBtDvkagXkiUeJT9NOn7beBamHHetuUuDSA8GiESIdV/ttEot\nIiU/Tzom9xp48EuYX6T8Lzv2OKy7Gkx8kVZsTSJObZR69NYiuUBV9oLwHqezlEQCiFRoAlPL\nEqSRD8bgOpK9TBSrssuv63pFqqRlhb4vkNYdObQn1wpEYo7I3kbd4I5JejbiKdIfZecoHK+1\naGkQSfjV9l6fZIW+vxzb26wP3scHkXykQaQWkVbsbdQNiLRjGkRiRVrdHEffIJfdbW+zPlA6\n+ApYxuUuMAwDIuVFerqT8Sgv18fW1dPC3kp90HjwFbCLY14+jAIiZUVK7KFFErfSr6/uP97b\nqBU1q6YNM5HYF+KDgEglItG/4mS96Pcp+aP8fjT2NuqDinVRCkS68Voi/fHH4njkX8Itf7La\nSr/dzx1j8mjsrdSS8uVSNrsB0AdmMBCpUKQtRSLVUXM09jbqg1Gz6wEi8UAklr2VWqI9uxog\nEs+rikT3VNr/3kbdyM5uABCJZ8+TDSR0g56DSBwNurP2iL2NWlI//hJ28AgiORdJPyMTt7dS\nH3RN5wFEYtnxgmwG7WeLPUVasbdRS2onZu8RRGIRv/mGbtD8hTmbMf7xB+UMvXXswb+xt1If\nyOM01ggiVS/toWzSjgnMVoODT7O3USt0J1cFRKpc2kNpFSmD5sGvY2+jPhg2PQKIVLm0h6Is\n0pqeg9/H3kp9MHKGEEmYVHFL8RtIxW8dTbfeHy+NuWfQW7PkvopV+Iov8X1G2qDgTcl2re1t\n1gfCsMugRMrVRFhJKrYwuBZJ/E5s8Xuw063Px6kyzwx6awY6jtptswqKz1kWnfqQv0d9b6U+\nYCdRPrl8TYS1pGILQ7lIpzfu/54eW4XhZyZV1kz8Kw3JVrFB5g/Hin9hgoaOK9mNlyM9cVh2\nErH+L3vc2NusG9zctpNjZiQsJn11lhSLdLr/57TYLAw/M6myZuNEer4wMxfpvpu89AeLtGZv\noz4QJgeRlpMqapX+0YgjtXKPNGID8a/wpVvJocmdVez2wWqdLGkTqbAHgb3V+kCekbCadLXZ\nUvce6bT2CCJpiXRv4E6kVdreRt2YQKTHW6T/XBkxphsZkZ4NMpqIDY5SRrqVHJrcWcVumQYf\nfGjwP02kIrX1UJCxt1EPitfVGKpEeryyKzzZkPzmTX5LJ1vZh/lnpOQfArHBcZlxV4cWiRxa\nvjN6t2Tv7W6ZBsvG8qeCkwa3ratnpKSt3sNchr1IkZ6RTpsHnEjJklktr9VyzD1MlmW6praP\nVicbyAa5s3b3h9mTDeTQMp3Ru1GiVDRYnI7faHRbuuS3/qdrfLXa1R9mv4TjbyOxAol0Ih7J\nHmX/2rD4sHE3+qFFcsZ8siZiA/ks4vVHt5VLf1m5wUP5a6F4XlGk0/O/NiLRF0sbH9bt93hJ\nqSsS/fzXI9KtAS0S/eTkSiQ9r8KIdHr+k5y5K/Aofc9xrOHX461V1W46VI/2mJtn4tH58Y6M\nbiD2m5pENVh+Wfnf5NslC5pNWvI4JTmRSKf76brFjQ2jReIXmDdKRGIbiP1KIt17Xi/n6CKt\nCSxSBoiU4Eeke8ezikRcJINIWSDSpt9akdZtIdIoxt39nRzPZBkkW8WHdGeNDxW6EB/S80wQ\nG2QGTHlUUOF8AW8LMFmLjQ+VTzaUi7RJg0gQyV6k20OIpMbAzyMlxzNZBs+tybngtC21DKqu\n4+Y6a9svXZfibuQ8KZNK5pnpuKLCxQXsuCCb2zxcpHUasxKvqNjCMPSDfcnhTFbBfev5cS54\n1Xa7CvINah427ZeKVLAbMc8lYoPMgLca1SYXTLnpbqHcZgWEj5ov0rYTXqBiC8N+n5A9JzT1\nUpXWyjHBIK4e/FXzG1KdBgOReF5TpDtdK1sBiCRM6vofiKSCZRxEyhNHJPo9AL33YqumSKJP\n5cIpscdXmw0TZw1EKjkcVR7RZ6XoDlZb+5Za6pH41FT33KXCnt8ROEygOxCp5HDUiJS0TVY2\n3cN6q5pI4ou82leBGuz8ZZvvQKR9v9eu4QnJXqTMJSW26auJdAcitdN3OGreH91I37SQ77I2\n7726l1ry/ogVRWwwAk8i3YFI9Qw8HAn7inQDIlWmQaQKxh+OKxApi2OR7kCkAkqLuVhc1F7s\n6hsqUunrS4jUmQaRGMpKuFpe272k9Ze4kSxWyqPakw1UD8IscLKhD4hEUFS59QJj/mJRpodh\nItFdlE2jvsEAAop0ByIlFFWsX6RhF2RVRXq1C7LKQCSBzXuH9V6bBhTJYk/a0QostnJj3Lyh\nqplGrpHUkSoTiXQDIuXQEakZU5GmvmnV+hZZiLQEIg1kXpHucRDpDkQayPwi3Xlhke5LbrkA\niXc4x8c3m2Z6oHcr2Zoue2Jz1iOit+w0akaZGZpIfxfiKMW2ycoWylo5tBzk8no5kZ6rLl2B\nyVp8LuHku7bpHuTv+aC3rlf+ZnNGJLK3zDRqRpkZmkh/F+IoxbZXLpsGGrPLwv6efhWRkmVH\nP0zWML2cxd3ErcnD3HhIhcXeaiYntpXp70Icpdj2YzmuG2jMLk/JK0mI5EMk8kUlRMpEOBSp\ntKvBmHxlMc2ZROwhaUtulYMzPJPpiCpqehAXQX8X0iAL6v6xHMuGUzU7BogEkSBS6ewYIBJE\ngkils2OASF0i3cov70ZurTvM5BGHSLkIiJTD38mG5wEQdxO3podTHE+C2FvN5GqCW2vZ2APl\nEU42NOFOpJrdxK2tRxwiZSIgUg6bv0ZBP0wO4vYJKaPBL+ULsosWT8je5D+fUTOeqpXW34U4\nSrHtle0F2ePx+X9aZ5cFIn2QVJJ+mBzD1aJbkd1N3JoeTXE8CdverluuD5ORlk6uJjhDfxfi\nKMW2xC1C+YPUrxFE6qhPXqRmtI7GOcEgrpCdb1rVOkiFcR1dDQYiFQORIFKeOCJtXwYSu24f\npm3pLkpfmNWKRHdG753ps2B5CkeA7qFmEPRLu/Sn/SLl9oZIwqSYnyXHJT1E5IkJar/lw7Qt\n3YW433YM/EeXtu/HxbFnui1aoOwRoHuoGcSqh/z3P3V4lO8AIgmTYn5Gi5SsYXo5i7tVnW2n\nG9SIVDP2TL9lS7SwlmKcWNZMWr9ITA8QSZgU98NnVb2JVPYdeC8mUv+Jboh0pW1S/I9vNT0m\nnEmWuxDQuyWI+6VbfxV9K+vmLhpp7PTW0ncfhe83pTi5rPm0Lo3YeUIkYVJFrTyKVDq5lxKp\nD4j0TtukilpBJIikF6NiCwNEgkj5rRCpGMciFb1hv5c/abvc7baUVU42LFit+9XkSsae9rTd\nuuvJBqKsYlq6Xw3MPCGSMKmyZvJifB6BjBD3R+oikUs/mVxokciyimmtJ/Ag0pW2SRW2Swqc\nHPvtAT/m7hRfHKNkv/vD3B3L9KpKyKz9ZHLS2Kne8tNvrCXdgzQIupblaa0mbX8CkYRJFbdM\n6psc+vvDjEjZVybJfu8aLRsnD5eeEAdZFinwLUJ0LeW0VpFwi9DF6k9f0hxp6AaZ/ciOz2dG\nFKlB+JtWufKUvZDsuaxUHFfb1WAgEgFEgki1QCQCiASRagkp0u1Q9Yh0e4+kLpLiKirDgUjE\n4SAb1AORRtbnebCSA0cfw8yRzXxn/xPBI/GMdevUGhh6ibQkjTwcdINqINLA+tD2VInU6onU\ngFmBw9hbpNZjUAREGlif9MAkh4g+WvTWfpHoazGTiFR1YSdzOOgGtUCkcfU5HhdHJjlA9LEi\ntnadS1g0Yodmw5hzG7kpSB81z/8qayoKRBpXn/oDs0nTEUljaAp4//ITiFRG26Q6CgKRlkCk\nwq4GM1QkeiHWlDRpe+us9sCk7W5d5D25Na59aZe8rhGHJo67yt7tIGq7qFvgECnHQJHya7VG\ngtXarnzzmjZ9dpHR5NlY9ij5+XM3eWji0KueCMlBVHVRu8QbvvykwyOIdIVejDVlTdomnTX2\nUPX9KaJI9Hj6F1XBM6E0iJouqhc5RMoBkajGNVdsX1wk+Umt3SOI9Kv4s8sMSdO0s7Yecp86\npxsfy+8hOtKI45H6lTXIDKKii5qj8UHbtwg1agSRrkQXqXTBQ6SBQCSIJI1H6hci6cap2MIA\nkajGECkDRMoR/WQD31PaNulCHJo4Sno84m41/crQg6jpotYjW5EqxiWjYgtDbJGkviASj2eR\nKkcmoWILg/UF2apDlzRNOtt6VHYBNOmCHFrmT8SKk0vairvV9CtDD6Kmi9rVaidSteMCKrYw\nWN8iVFmfpGHS2X1rSWfpT5MuiKGdk2+TrLuVJ2kr7lbTrww9iJou6pYqRMphfNPq8ahYoMLO\nCsd4TugZVdz3457SVBfKFRVbGCDSHYjkKQ0iGdYHIpnHQaQcbkRqqFiPSNt9OkRqfHvSq+w7\nw5f2YpQQKYf1B/sy5WmrWVmtS2+0bPUo6aymA41nv1/Dl/ZqlDjZkMOHSI1VaxWJ3q9RpKSz\nmh50XkeOXtrrUUKkHOYfNWefkFqfkthGEKmd/UTCBdmiCm23NNatYJfCj0c3vkdK+qrpoeMd\n2ZKhS3szStwilMPFl590iNSQBpGK2Vck3LRaWx+I1A5EKuxqMFYiLRaMIBLtU9KDuPoybW+P\n74v+lnPbulo0yX7JeJKH287yPWwf3vPZtvJEG3/10P1uO8uLlPZQMwi6rDkecf2/YlVsYbAR\nafW7l3mOyL3JXC1QdoVl2j4fp1/J8Nyarplkv5XhiX2bzjI9kA+pP2+bHXCGxmdxul+ys3RG\nVy7bHmoGQZc1z4UZWiUqtjCYiJQ5HE8SkahXXQWfgZDb0pvFh/TQGjuj+5UHTEOXqvpocJ2t\n2142W2sGQU+f4cIMrRIVWxh6RSriWcBci3ulno+uj8kexM4ybenNycPnU8ti63M8ycOaHjJt\npc7kidKlajwamc7IIaQ91AyCnr5I4zxtsXhGOickv2iW3H7hHBPoHtadcWk1XBNv/662bhF7\nyH2yneq3YGzkROlS1R8NobNFu8u6h5pB1O926ZjnuqvBuBHpxr4ibZd2rUildsQRaQFEygGR\niGObOeIQCSJlgUjEsc0ccYgEkbL4OGv36/lSfFm0+9akB2F5tZ+1S5LprXQDsYfGti7O2q3B\nWbscTkSiDwy5qMT1Ja/LmqUNkVIgUg4fF2SpI5O9Qiosr5Lrm/TD5HDRW+kGYg+NbT1ckF2D\nC7I5XNwitPolea/ZcmvSA7u6mLb05uRhcrTorXQDsYfGtvJEG5cX3W9BZ7hFKIeLm1bPCdLW\n/rTBTB0Xd3IqtjBAJG2mjos7ORVbGCCSNlPHxZ2cii0McURqfGMkv+Vo3JrJqDj4vb8hsnEq\nHZOdSW9a+t/LLMB7pML63KGfetKt4lPTSrntw0wXjVszGdTk5AH3wF1KUICeXOY0msbZtQU4\na1dUnyeiSHQDsS2lYl7WtvGs21Z/H2VZ+xyFtWyEnlzmwo7K9Z4FuI5UUp+EzMGXLKB7gEgQ\niehqMC5EOp9zR/+2Jd+A6EFGSpa3Mv3W3uzRueDLa9kAPbnjkVzamc094F67gvokiAe/qkHh\ngmc6lrcy/UIkiNRAe30SxINf1aBwwTMdy1uZfiESRGqgvT4J4sGvalC04JN/th3LW5dcD/Fy\nrYmIMyoFIhV2NRgXIlWdSxAb0A8zJ9PpjsWt6cP7QcbJBm2PcLKhqD4JxiJlWkhx9G7rwwyR\nIFIDHfVJEY99TQP+YYlINRdkG0XCBdkCcEG2qD4LxENf04B4eBYpidt2vHkFj1uE9MAtQoX1\nMWH9qc4ykUrpEEkF3LRa2NVgIBJEcpsGkezqU5wGkeKlQaS++oirmn7FnNtt9T0DRScbch0n\nD++DaD3ZoERTXPPvDTKt5g1MTdv2324EKrYw+BNJXNj0OZz8bp0iJT9PHj4HEU+kjqdgIq3m\nlFpN274XChtUbGFwJ5K4sumrCsxuW5HEC7J0x8nDdBCr4bgXSf7dUZNGHw6amrY9o6RQsYXh\nNUWizorL48mItHq9ApGyQKQ8bZPK/+h8Fip4PFKHg9tte7KhIu5MQg9CnNwIquPEKVelcZXo\nads1SgoVWxggEkTqSYNINyASROpJg0g3oot0a7fabbH3HCLlRtgrUt1KlURiHYFIDG2TYn4m\n1i89GM+m6W6rDsiTDcVxSYPkIbMihoiUH2TfyYbatcqfbJAsKfcIJxvKJsX8rEYkepGve5hA\nJGaUXSJVr1ZWJNETiJSnbVLcD8X6bZ+Q+EtDF7ZjMS5pkDzMrwj3ItVcRStI2z4hyU9JdaNU\nQcUWBn8ild8idD4vFsJqtT96eabRHYtxSYPkYW5BDBBpM6XeuFypRLhbhIreApVqlIxSBxVb\nGDyKVAq9DhiRTIggUkG/NFxakUh14KZVk/pApM44iKQHRNIGIkGkBkrnsThWWvWhl8Fya/pT\nesGUL6OitiM+as6s965a1npEf/b7vr+6RxBpzepw2Ym0Vmq7ZmpWUlHb0sm1BHsRKRXm2QNE\n6qBoEuvjpVYfchkkaZRTldeRqttW/m7pVbivlpUeEd+Plc5D2yOItGKYSOTLoxlFUrxFqLBf\nGl6kcd8ipNDVYCxEOp9Xq2bo2/+zDDO0wo6ZZrW/WzqvlezwnQ3pWQW1eeTjlLoaDESCSLVp\nEIkAIkGk2jSIRACRvIlUuSSpuDGr+pEGkQiin2zg09Jg+oDXLIOytn0nG6oX5TZu3LqWTzYM\nidPpajAQyZVI9ctyE2ewsiHSlglFynzwIcQF2RgiZS7IDotT6Wow871HuiduH/q/RWhTKZl1\nXEMXFbC3CA2MU+hqMHOKtCDQTatxRLIBIi2ASKVApGFxKrYwQCRPcRBpWJyKLQwznmxYEeng\n10uwy8kGKyDSEohUCkQaFadiC0PozyOVEergV0uwxwVZMyDShsWRhUgMlQ7scIuQHRDJrD7u\n0uaOizs5FVsYIBLi3KZBJLv6uEubOy7u5FRsYYBIiHObBpHs6uMube64uJNTsYUBIiHObRpE\nsquPu7S54+JOTsUWBoiEOLdpEMmuPu7S5o6LOzkVWxggEuLcpkEku/q4S5s7Lu7kVGxhgEiI\nc5sGkezq4y5t7ri4k1OxhQEiIc5tGkSyq4+7tLnj4k5OxRYGiIQ4t2kQya4+7tLmjos7ORVb\nGCAS4tymQSS7+rhLmzsu7uRUbGGASIhzmwaR7OrjLm3uuLiTU7GFASIhzm0aRLKrj7u0uePi\nTk7FFgaIhDi3aRDJrj7u0uaOizs5FVsYIBLi7qR/PGx8WgkQyaw+7tLCxqV/znJ8WhlTi3R6\n4/n/9q6Pu7SocekfWB6fVsjMIp0e/3ln7/q4S4saB5H6gEiIu3I8FpkUc3LvXQ0GIiHuCkTq\npEOk/1zRHg/Yh1SkvccSEjwjIe4KnpE6gUiIewcnG/qASIh7ByL1AZEQ9wEuyHYBkRB3B7cI\ndYA7GxDnNm1ukZbsXR93aXPHxZ2cii0MEAlxbtMgkl193KXNHRd3ciq2MEAkxLlNg0h29XGX\nNndc3Mmp2MIAkRDnNg0i2dXHXdrccXEnp2ILA0RCnNs0iGRXH3dpc8fFnZyKLQwQCXFu0yCS\nXX3cpc0dF3dyKrYwQCTEuU2DSHb1cZc2d1zcyanYwgCREOc2DSLZ1cdd2txxcSenYgsDREKc\n2zSIZFcfd2lzx8WdnIotDBAJcW7TIJJdfdylzR0Xd3IqtjBAJMS5TYNIdvVxlzZ3XNzJqdjC\nAJEQ5zYNItnVx13a3HFxJ6diCwNEQpzbNIhkVx93aXPHxZ2cii0MEAlxbtMgkl193KXNHRd3\nciq2MEAkxLlNeyWRmpj6D2Zici8JRNIGk3tJIJI2mNxLApG0weRekl1EAmA2IBIACkAkABSA\nSAAoAJEAUAAiAaCAsUinN9J/Z2Peyc1+5HqxFel0+8/p8X/m4n2NTTm52Y9cNxBJkdMFIr0q\nO7xHmvZw3CY25eRO6b+zTU4DiKTH3CKd5n3dqoG9SNMejtNl5sndZjbl5DSASFo85jTj5PAe\nScJcpNPyP/Nw+mDOyUEkCWuRTs//zng48Iz0qlhfkE3+mfFwQKRXxfg60u3Vz7TXx+e9+I87\nG3hwrx0ACkAkABSASAAoAJEAUAAiAaAARAJAAYgEgAIQCQAFIBIACkAkABSASAAoAJEAUAAi\nueCfL4fD6dv10c/Ph08/DtfD8vvr4fD1984DA4VAJA+8mXPlzaTfp4+HbxvfH33ae2igDIjk\ngU+Hvy6Xf6/6fD98vvz+/PHozatvhz/3HhsoAiL54OeP7+/6fDr8fPs/H4+u2w9f9h4ZKAIi\nueDz/QXd4UOf90ePF3nAPzhOHvh6+PTnj58QKTA4Th74OEtHvbQDQcDR8sDh8M/tFMO3w+f3\nF3rXR98ul7+u/xcEACJ54NvjZdzz9Pft0b97jw0UAZFc8PVw+PzP+wu86wXZvz4evW/ce2Sg\nDIjkkQO+8SoaEMkX13dLb6/0vu49DlAJRPLF7d3Sz73HASqBSM7489Ph8BUehQMiAaAARAJA\nAYgEgAIQCQAFIBIACkAkABSASAAoAJEAUOD/AZP4Mzjcrx2nAAAAAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot2 = ggplot(gaw, aes(x = age, y = MaxDinks)) + geom_point(aes(col = sex), size = 3) + \n",
    "geom_smooth(method = \"lm\", col = 'red', size = 2)\n",
    "plot(plot2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\n",
       "  1   3   4   5   6   7   8 \n",
       "  5   1  77   5 494  34   6 "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "table(gaw$ethnicity)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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+VR/hfIZmNz7ZfWgDuRfj1HXI90kd5uXnyZ/AtjFwx6K0Wk7P6MB+QBkarSRKRf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\n/gAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot3 = ggplot(gaw, aes(x = age, y = MaxDinks)) + geom_point(aes(col = ethnicity), size = 3) + \n",
    "geom_smooth(method = \"lm\", col = 'red', size = 2)\n",
    "plot(plot3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<dl class=dl-horizontal>\n",
       "\t<dt>1</dt>\n",
       "\t\t<dd>5</dd>\n",
       "\t<dt>3</dt>\n",
       "\t\t<dd>1</dd>\n",
       "\t<dt>4</dt>\n",
       "\t\t<dd>77</dd>\n",
       "\t<dt>5</dt>\n",
       "\t\t<dd>5</dd>\n",
       "\t<dt>6</dt>\n",
       "\t\t<dd>494</dd>\n",
       "\t<dt>7</dt>\n",
       "\t\t<dd>34</dd>\n",
       "\t<dt>8</dt>\n",
       "\t\t<dd>6</dd>\n",
       "</dl>\n"
      ],
      "text/latex": [
       "\\begin{description*}\n",
       "\\item[1] 5\n",
       "\\item[3] 1\n",
       "\\item[4] 77\n",
       "\\item[5] 5\n",
       "\\item[6] 494\n",
       "\\item[7] 34\n",
       "\\item[8] 6\n",
       "\\end{description*}\n"
      ],
      "text/markdown": [
       "1\n",
       ":   53\n",
       ":   14\n",
       ":   775\n",
       ":   56\n",
       ":   4947\n",
       ":   348\n",
       ":   6\n",
       "\n"
      ],
      "text/plain": [
       "  1   3   4   5   6   7   8 \n",
       "  5   1  77   5 494  34   6 "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "   Length     Class      Mode \n",
       "      622 character character "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gaw$ethnicity2 = gaw$ethnicity\n",
    "gaw$ethnicity2 = as.factor(gaw$ethnicity2)\n",
    "summary(gaw$ethnicity2)\n",
    "\n",
    "gaw$ethnicity2 = as.character(gaw$ethnicity2)\n",
    "summary(gaw$ethnicity2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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JGQ1EFUxbd2d0W8Im3f2p1PR8/XCbuv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\nAApAJAAUgEgAKACRAFDg/wHZRVcCO/p7hgAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot3 = ggplot(gaw, aes(x = age, y = MaxDinks)) + geom_point(aes(col = ethnicity2), size = 3) + \n",
    "geom_smooth(method = \"lm\", col = 'red', size = 2)\n",
    "plot(plot3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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6TzQer5cqF0+u3zCCIhqYOoiqd2N0W8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\nBYZVX7ZHAAAAAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot3 + scale_colour_brewer(palette = 'Set1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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mhadK70i4Qbsn4gkv4pQvZC0+J65cGgX40pQhmFINK5gUmracSJVBJMWnUAkWSA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\ngg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot3 + theme_bw() + labs(subtitle=\"BW Theme\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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vbUAm09RwqB9HCFPbXARIS36++P57D4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\nIBKAAogEoAAiASiASAAKIBKAAv8P+L/Hi0pJiPAAAAAASUVORK5CYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot3 + theme_classic() + labs(subtitle=\"Classic Theme\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "`stat_bin()` using `bins = 30`. Pick better value with `binwidth`.\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ggplot(data = gaw, aes(age)) + geom_histogram() + theme_classic()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "`stat_bin()` using `bins = 30`. Pick better value with `binwidth`.\n"
     ]
    },
    {
     "data": {
      "image/png": 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PVjTadf//v/BWYF9r8jl4/NXAppc+x/R46H+y/O/T4c//uhHStzFfbj5vFbSJeH\nm9urw5fb29MXG67uv9jw4/6vrEhI+3F1F9C967t0/nz5+/FPP1c+3GcnpP14/u/v3P/h/huy\nP06fGf26+9Tpy82aB0NI+3aY8z9ttUdC2qfD/Yd5V37ubjOEtE9XD58i/Vr7HDwS0k59vzgc\nLnW0GUKCACFBgJAgQEgQICQIEBIECAkChAQB/w8HYxjrzNXW9wAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ggplot(data=gaw, aes(age)) + geom_histogram(col=\"red\", fill=\"darkgreen\", alpha = .3) + \n",
    "  labs(title=\"Histogram for Age\", x=\"Age\", y=\"Count\") + theme_classic()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "`stat_bin()` using `bins = 30`. Pick better value with `binwidth`.\n"
     ]
    },
    {
     "data": {
      "image/png": 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T3MGzvv7oUG0nNpvHiKdHPo66FHBdKz6fykaUYcvdBAkgICSQoIJCkgkKSAQJIC\nAkkKCCQpIJCkgP4fRxsC4Ex0U5AAAAAASUVORK5CYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ggplot(data=gaw, aes(age)) + geom_histogram(col=\"red\", alpha = .5, aes(fill=..count..)) + \n",
    "  labs(title=\"Histogram for Age\", x=\"Age\", y=\"Count\") +\n",
    "  scale_fill_gradient(\"Count\", low=\"blue\", high=\"red\") + theme_classic()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "`stat_bin()` using `bins = 30`. Pick better value with `binwidth`.\n"
     ]
    },
    {
     "data": {
      "image/png": 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dcNqRxJQBLHhpbSFKTyTklAEseGltImpGIkAUkcG1pKW5CKOyUdBUlyVMI2NTOu\nFVJpL9wBSRwbWkprkAqTdBAk4ZtI6+/5jGNDS2kVUiGSgCSODS2lWUhlSDoG0v0usrMfgZTt\n0lshlXVKApI4NrQUIJnuUEjBB8rM2NBS2oNUlCQgiWNDS2kQUkkv3AFJHBtaSsOQSpAEJHFs\naCktQipIEpDEsaGl5IUUSOPYGpDsSwKSODa0lLyQMh476eBAkj8DSFpjINkISOLY0FLahFSM\nJCCJY0NLaRRSKS+BA0kcG1pK45CsSwKSODa0lFYhFSIJSOLY0FKah2RbEpDEsaGlNAupjFMS\nkMSxoaUAybQkIIljQ0tpF1IRpyQgiWNDS2kYUgkvgQNJHBtaSsuQCpAEJHFsaClAMi0JSOLY\n0FKAZFoSkMSxoaU0Dcn+KQlI4tjQUoBkWhKQxLGhpbQNyfwpCUji2NBSGodkXRKQxLGhpbQO\nyfhL4EASx4aWAiTTkoAkjg0tpXlItiUBSRwbWgqQTL9yByRxbGgpQDJ9SgKSODa0FEuQVv0U\nPKWDn2yfkoAkjg0txRIknRWuGw/2DZAenwEkrXFTkAxLApI4NrQUIA12jj1JQBLHhpYCpMHO\nsScJSOLY0FKANNw65iQBSRwbWgqQhlsHSO4zgKQ1bg2SVUlAEseGlgKk8eYxJglI4tjQUoA0\n2T22JAFJHBtaCpCm28eUJCCJY0NLAdJ0+5iSBCRxbGgpa1e47rfCHrHCdeNhP5KEt7juG5DE\nsaGlsMJB9s5JQBLHhpbCCocByX0GkLTGhpay6wqtnZOAJI4NLYUVjjMmCUji2NBSWOEkW5KA\nJI4NLYUVTgMSkPTGhpZyGCQLkoAkjg0thRXOM0QJSOLY0FJYoSc7koAkjg0thRX6MiNpH0jT\n96ncbvsRb1gxtAlYYfq4G7Z6Hw5/1ld2BBrHmN4Ltxtu6NFmm2Yb573OVZKCK9wDgcYxgJRt\nbGgph6xw+F7wRUpAOmpsaCms0Ds+TSSJmxFIR40NLYUVesfXDdhFWgLSUWNDS2GF3vFtC8ZJ\nAtJRY0NLYYXe8WMTxlgC0lFjQ0thhd7xYBvOWtyHnqPkQ6BxDCBlGxtaysGQPJKmOxNIR40N\nLYUVesfjnehL2If+o2RCoHEMIGUbG1rK8ZBOAUtdYB8Gj5IDgcYxgJRtbGgpJiCFKHW+fSgc\nRR+BxjGAlG1saClGIAUpdR2QjhobWgor9I4DWzLYmqPoItA4BpCyjQ0txRCky6VXUAJS7rGh\npbBC71jccLGWgJR7bGgprNA7XtxwMZSAlHtsaCms0DuO2nBLloCUe2xoKazQO47bcF5Ki0fR\nRaBxDCBlG7JVy2YAAATKSURBVBtaimVIl8KWgJR7bGgprNA7jttw90sHJAEp99jQUlihdxy3\n4X4O4j0rASn32NBSWKF3HLfhRgeZSwJS7rGhpbBC7zhuw00PMqEEpNxjQ0thhd7x1t/wOaG0\nAwKNYwAp29jQUgpboa4kIIljQ0thhepjTUpAEseGlsIKM4z1JAFJHBtaCivMMtY6KwFJHBta\nCivMM1aSBCRxbGgprDDXWEUSkMSxoaWwwmxjDUpAEseGlsIKs41X/nKYjQg0jgGkbGNDSyl4\nhbE/PDwFgcYxgJRtbGgpBa/wtOaXw2xEoHEMIGUbG1pKwSt0+zhFEpDEsaGlsMJs48c79kaU\n1v1qWSCJY0NLYYXZxj/zkaRV/7oCSOLY0FJYYbbxYD4+J6ki0DgGkLKNDS2ljhUCKcfY0FJY\nYbbxZA4k/bGhpbDCbOPZHEjaY0NLYYXZxkDKPja0FFaYbQyk7GNDS2GF2cZAyj42tBRWmG0M\npOxjQ0thhdnGQMo+NrQUVphtDKTsY0NLYYXZxkDKPja0FFaYbQyk7GNDS2GF2cZAyj42tBRW\nmG0MpOxjQ0thhdnGQMo+NrQUVphtDKTsY0NLYYXZxkDKPja0FFaYbbwPpP7c9OPhDEiHjg0t\npZ4V5oDUP/74+Xg4S4FEZDkgESkEJCKFdoT036UISJOOvoeIIrJ3RppdK5H9Vm3ppQtkgYQk\nst+6Hb10gTyQkETWW7mhly6QCRJRVQGJSKH4dzb0w49XvrOBqPL2ea8dUeUBiUghIBEpBCQi\nhYBEpBCQiBQCEpFCQCJSCEhECgGJSCEgESkEJCKFgESkEJCIFAISkUJAIlIISEQKAYlIISAR\nKQQkIoWARKQQkIgUAhKRQkAiUghIRAoBiUghIBEppAJJs/9Uj2Y/bm/J6UJS7b+jF7Bz3N46\nAtLBcXvrCEgHx+2tI3OQiEoMSEQKAYlIISARKQQkIoWARKSQIUj+X5ledU3d3rofXzuQ+tsf\n/eMv1XfdUK3c3sofXyAdV38CUjXZgXSt3jt63u22tnJ7++F/67u9QDqs5iD1NT+VtQWp4jt6\nVn9q7PbebmyltxdIB/W4mY3cXr5G2rF+/EfV9a5mbi+Q9qv/+bO+O9obZ6RqMgSpH/ynvjva\nG5CqyQ6k+1OdSr/z7a3i7/TP450NRLQQkIgUAhKRQkAiUghIRAoBiUghIBEpBCQihYBEpBCQ\nSmz0exDIQjwgBfZ+hvR+9CJoFJAK7KX71b0cvQgaBaQC67qv23O7z+fu6f368ddL1718Hbuu\nlgNSeb2fT0cv1+d2X/3jF8ddP3o6emntBqTyuiB6vz63+909n76eL5B+d6+n02v3dvTamg1I\n5XU9A13/eOo+z0/vLh8+XR/I7texK2s4IBXX++0XAb/fNF3/nP92YNo17vniermZeQGSobjn\ni6vvLi/OfXX9/KkdHRb3f2l93L6F9NJ9nF6759Pp+mLD6+XFhj+Xv9IhAam0Xs+ALr2f6fy8\n/H376N/Bi2s3IJXW40fwXD64fEP2z/Uro8/zl07PH0curO2AVH5dhT/dqriAVHLd5WneK++7\nMxCQSu7VfYn0efQ6CEhl9/bUdS84MhCQiBQCEpFCQCJSCEhECgGJSCEgESkEJCKFgESk0P9A\nOvDtqkWb1gAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ggplot(data=gaw, aes(age)) + geom_histogram(aes(y =..density..), col=\"red\", alpha = .2, fill = 'blue') + \n",
    "  labs(title=\"Histogram for Age\", x=\"Age\", y=\"Count\") +\n",
    "  geom_density(col='black', size = 2) + theme_classic()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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CENxoWUw4U0GD8Xkq+02k0X0lZcSDlc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\nZgsmJLMFE5LZggnJbMGEZLZgQjJbsP8DaTnqNCl0FiMAAAAASUVORK5CYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ggplot(data=gaw, aes(y = MaxDinks)) + geom_boxplot(col = 'red', fill = \"green\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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VBXSHtf1yEIaQ4hNRLSHEJqJKQ5hNRI\nSHMIqZGQ5hBSIyHNIaRGQppDSI2ENIeQGglpDiE1EtIcQmokpDmE1EhIcwipkZDmEFIjIc0h\npEZCmkNIjYQ0h5AaCWkOITUS0hxCaiSkOYTUSEhzCKmRkOYQUiMhzSGkRkKaQ0iNhDSHkBoJ\naQ4hNRLSHEJqJKQ5hNRISHP4IfqdepYrpAMK/hVNe38AfYR0PLm3W+6VCemAcm+33CsT0gHl\n3m65VyakA8q93XKvTEgHlHu75V6ZkA4o93bLvTIhHVDu7ZZ7ZUI6oNzbLffKhHRAubdb7pUJ\n6YByb7fcKxPSAeXebrlXJqQDyr3dcq9MSAeUe7vlXpmQDij3dsu9MiEdUO7tlntlQjqg3Nst\n98qEdEC5t1vulQnpgHJvt9wrE9IB5d5uuVcmpAPKvd1yr0xIB5R7u+VemZAOKPd2y70yIR1Q\n7u2We2VCOqDc2y33yoR0QLm3W+6VCemAcm+33CsT0gHl3m65VyakA8q93XKvTEgHlHu75V6Z\nkA4o93bLvTIhHVDu7ZZ7ZUI6oNzbLffKhHRAubdb7pUdLSQuSnd6JLlXJqQjKt3pkeRemZCO\nqHSnR5J7ZUcLae8vTw4h93bLvTIhHVDu7ZZ7ZUI6oNzbLffKhHRAubdb7pUJ6YByb7fcKxPS\nAeXebrlXJqQDyr3dcq9MSAeUe7vlXpmQDij3dsu9MiEdUO7tlntlQjqg3Nst98qEdEC5t1vu\nlQnpgHJvt9wrE9IB5d5uuVcmpAPKvd1yr0xIB5R7u+VemZAOKPd2y70yIR1Q7u2We2VCOqDc\n2y33yoR0QLm3W+6VHS0kLkp3eiS5V3awkA4g+Kz3F7xcIW0En/X+gpcrpI3gs95f8HKFtBF8\n1vsLXq6QNoLPen/ByxXSRvBZ7y94uULaCD7r/QUvV0gbwWe9v+DlCmkj+Kz3F7xcIW0En/X+\ngpcrpI3gs95f8HKFtBF81vsLXq6QNoLPen/ByxXSRvBZ7y94uULaCD7r/QUvV0gbwWe9v+Dl\nCmkj+Kz3F7xcIW0En/X+gpcrpI3gs95f8HKFtBF81vsLXq6QNoLPen/ByxXSRvBZ7y94uULa\nCD7r/QUvV0gbwWe9v+DlCmkj+Kz3F7xcIW0En/X+gpcrpI3gs95f8HKFtBF81vsLXq6QNoLP\nen/ByxXSRvBZ7y94uULaCD7r/QUvV0gbwWe9v+DlCmkj+Kz3F7xcIW0En/X+gpcrpI3gs95f\n8HKFtBF81vsLXq6QNoLPen/ByxXSRvBZ7y94uULaCD7r/QUvV0gbwWe9v+DlCmkj+Kz3F7xc\nIW0En/X+gpcrpI3gs95f8HKFtBF81vsLXq6QNoLPen/ByxXSRvBZ7y94uULaCD7r/QUvV0gb\nwWe9v+DlCmkj+Kz3F7xcIW0En/X+gpcrpI3gs95f8HKFxDpCaptnEiG1zTOJkNrmmURIbfNM\nIqS2eSYRUts8kwipbZ5JhNQ2zyRCaptnEiG1zTOJkNrmmURIbfNMIqS2eSYRUts8kwipbZ5J\nhNQ2zyRCaptnEiG1zTOJkNrmmURIbfNMIqS2eSYRUts8kwipbZ5JhNQ2zyRCaptnEiG1zTOJ\nkNrmmURIbfNMIqS2eSYRUts8kwipbZ5JhNQ2zyRCuud850/mmUtIP51//PG8eQYT0k9C4tmE\n9JOQeDYh/fQzpL8uhAS3PiNBCSFBASFBASFBASFBAa9sgAJeawcFhAQFhAQFhAQFhAQFhAQF\nhAQFhAQFhAQFhAQFhAQFhAQFhAQFhAQFhAQFhAQFhAQFhAQFhAQFhAQFhAQFhAQFhAQFhAQF\nhAQFhAQFhAQFhAQF/jikNH/t/QEki1tuXUhx/tr7A0gWvFwhbQSf9f6ClyukjeCz3l/wcoUE\nBYQEBYQEBYQEBYQEBYQEBYR0z/lve38Ykc6bt2mEdE/qIR/Bt/8+xf5nSkj3pB7yEQhpkNRD\nPoLz1+2eY3cspHtSD/kIhDSI5xr6CGmQ1EM+gvO3ilJ3LKR7Ug/5CIQ0SOohH4GQBkk95CM4\n3/snkZDuST3kIxAS8J+EBAWEBAWEBAWEBAWEBAWEBAWEBAWEBAWEBAWEBAWEBAWE9PK8O5+u\n3l/e+fLmdHrz5fb29enT7e2n06u9P7DJhPTivP36u+IuJZ0v71zdBXX549WlJvYipBfndPp8\n+/F0vvvMdHp7yer95b3rD5f/wW6E9OKcT2+uv75z9fXwTq9v//6xLXt+TAjpxbm+e0R39fn2\n5y/Cvnv3w+n0Ye+PazYhvUCfrk7nj0I6FCG9SO8v+Vz9PLzz1ZWHdrsS0otzPn28/XR5suHt\n5fmFD5dnvd+drq9P7/b+wEYT0ovz99Pfd9l8+fr09+nT309/X52+7P2RTSakl+ft+XT++unn\n85vT6dXHH9+Qfb33BzaZkKCAkKCAkKCAkKCAkKCAkKCAkKCAkKCAkKCAkKCAkKCAkKDA/wHV\n8YGjioKD3QAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ggplot(data=gaw, aes(x = sex, y = MaxDinks)) + geom_boxplot(col = 'red', fill = \"green\") + theme_classic()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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aQOhNQ4fPsZhg8lpA6E1Dh8+xmGDyWk\nDoTUOHz7GYYPJaQOhNQ4fPsZhg8lpA6E1Dh8+xmGD7V3SAGf9nFuoxWWGrYThBQylJAuMPDL\nI6S2MwwfSkgXEFLTSvWf5/YzDB9KSBcQUtNK9Z/n9jMMH0pIFxBS00r1n+f2MwwfSkgXEFLT\nSvWf5/YzDB9KSBcQUtNK9Z/n9jMMH0pIFxBS00r1n+f2MwwfSkgXEFLTSvWf5/YzDB9KSBcQ\nUtNKA+/QFtLUhNS0Us6hzoR0AXuuaaWcQ50J6QL2XNNKOYc6E9IF7LmmlXIOdSakC9hzTSuN\nHGrYZY1HQrpAzj03bCUhdTxeSHsvlXMoIc0s554btlLOoc6EdAF7rmmlnEOdCekC9lzTSjmH\nOhPSBey5ppVyDnUmpAvYc00r5RzqTEgXsOeaVso51JmQLmDPNa2Uc6gzIV3AnmtaKedQZ0K6\ngD3XtFLOoc6EdAF7rmmlnEOdCekC9lzTSjmHOhPSBey5ppVyDnUmpAvYc00r5RzqTEgXsOea\nVso51JmQLmDPNa2Uc6gzIV3AnmtaKedQZ/UhHO89vj2+4fjXCWnvpQzVtNKj6hCOj38c//rP\nQurz5Um551IOdSakC9hzTSvlHOrsshCOzzsSUqcvT8o9l3Kos8tDevoR6b8TIfX58qTccymH\nOrsohKdbdi429P7ypNxzKYc6uzikv98RUqcvT8o9l3Kos0tCOL7ynpD6fHlS7rmUQ51dEMLx\n959C6v3lSbnnPEHkyfH3mz+u3Ampy0YQUuNSleK2X/39SI+X6/56YMMEIQ38/56Uey7681ca\natxSlXYI6cLjx33Oxq0kpNbP37ilKi0Q0rIboTCskNo+gQOXqiSkXeQMadhKE24KIe0i5Z5L\nOVQtIe0i5Z5LOVQtIe0i5Z5LOVQtIe0i5Z5LOVStBUKa7gJNgJR7LuVQtYS0i5R7LuVQtYS0\ni5R7LuVQtRYIabrPWYCUey7lULWEtIuUey7lULWEtIuUey7lULWEtIuUey7lULWEtIuUey7l\nULWEtIuUey7lULWEtIuUey7lULWEtIuUey7lULWEtIuUey7lULWEtIuUey7lULWEtIuUey7l\nULWEtIuUey7lULWEtIuUey7lULWEtIuUey7lULWEtIuUey7lULWEtIuUey7lULWEtIuUey7l\nULWEtIuUey7lULWEtIuUey7lULWEtIuBT0QhpLalKi0Q0rg9N87AoYTUtlSl+UNKSUhNKwmp\n4/FLSbnnUg5VS0i7SLnnUg5VS0i7SLnnUg5VS0i7SLnnUg5VS0i7SLnnUg5VS0i7SLnnUg5V\nS0i7SLnnUg5VS0i7SLnnUg5VS0i7SLnnUg5VS0i7SLnnUg5VS0i7SLnnUg5VS0i7GLnnhj2s\nT0ghhHQBITUONW6pSkLahZAahxq3VCUh7SLlnks5VC0h7SLlnks5VC0h7SLlnks5VC0h7SLl\nnks5VC0h7SLlnks5VC0h7SLlnks5VC0h7SLlnht3oV1IHY9fSsqQqodvPkPOoc6EdAEhNZ4i\n41BnQrqAkBpPkXGoMyFdQEiNp8g41JmQLiCkxlNkHOpMSBcQUuMpMg51JqQLCKnxFBmHOhPS\nBYTUeIqMQ50J6QJCajxFxqHOhHQBITWeIuNQZ0K6gJAaTzHu0UjjhjoT0gWENMa4pYS0CyGN\nIaTkhDSGkJIT0hhCSk5IYwgpOSGNIaTkhDSGkJIT0hhCSk5IYwgpOSGNIaTkhDTGwKXCCOkC\nQhpDSMkJaQwhJSekMYSUnJDGEFJyQhpDSMkJaQwhJSekMYSUnJDGEFJyQhpDSMkJaQwhJSek\nMYSUnJDGEFJyQhpDSMkNfILDgUvVDt98hhmXCiOkDlbcCJuEVCSkDlbcCJuEVCSkDlbcCJuE\nVCSkDlbcCJuEVCSkDlbcCJuEVCSkDlbcCJuEVCSkDlbcCJuEVCSkDlbcCJuEVCSkDlbcCJuE\nVCSkDlbcCJuEVCSkDlbcCJuEVCSkDlbcCJuEVCSkDlbcCJuEVCSkDlbcCJuEVCSkDlbcCJuE\nVCSkDlbcCJuEVCSkDlbcCJuEVCSkDlbcCJuEVCSkDlbcCJuEVCSkDlbcCJuEVCSkDlbcCJuE\nVCSkDlbcCJuEVCSkDlbcCJuEVCSkDlbcCJuEVCSkDlbcCJuEVCSkDlbcCJuEVLRzSBHPpTuf\njDMJqWzfkGKelXo6CUcS0oZdQ4p6fvfZ5JvoTkgbhNRBvonuhLRBSB3km+hOSBv8jNRBwpGE\ntMFVuw4yziSkMvcjdbDiRtgkpCIhdbDiRtgkpCIhdbDiRtgkpCIhdbDiRtgkpCIhdbDiRtgk\npCIhdbDiRtgkpCIhdbDiRtgkpCIhdbDiRtgkpCIhdbDiRtgkpCIhdbDiRtgkpCIhdbDiRtgk\npCIhdbDiRtiUcqg4Quog5Z5LOVQcIXWQcs+lHCqOkDpIuedSDhVHSB2k3HMph4ojpA5S7rmU\nQ8URUgcp91zKoeIIiTpCKhISdYRUJCTqCKlISNQRUpGQqCOkIiFRR0hFQqKOkIqERB0hFQmJ\nOkIqEhJ1hFQkJOoIqUhI1BFSkZCoI6QiIVFHSEVCoo6QioREHSEVCYk6QioSEnWEVCQk6gip\nSEjUEVKRkKgjpCIhUUdIRUKijpCKhEQdIRUJiTpCKhISdYRUJCTqCKlISNQRUpGQqCOkIiFR\nR0hFQqKOkIqERB0hFQmJOkIqujyE472W41mTkIouDuH49MfbjmdRQioSEnWEVCQk6gipqCGk\n/06EBHe+I0EIIUEAIUEAIUEAIUEAj2yAAB5rBwGEBAGEBAGEBAGEBAGEBAGEBAGEBAGEBAGE\nBAGEBAGEBAGEBAGEBAGEBAGEBAGEBAGEBAGEBAGEBAGEBAGEBAGEBAGEBAGEBAGEBAGEBAGE\nBAGaQ2r0X+sJJlwp51KGekVcSK3+S7hSzqUMVSQkS8220pJDCclSs6205FB7hwQpCAkCCAkC\nCAkCCAkCCAkC7B3ScdQ69wYtdTd2qjFrjfv8HdccaueQhn11nv4YstqwkAatM/jzN2ip0KH2\nDek46oszdCMMmyptSIO+IUUudS037QaudRy50iAjv0zDlhPS3GsNDGncTxN3I3/GXPFmytWE\nNO6H5bs1d0J5pYFTrXkF6mpCGrXW6B/LM0614v8PCSl6kYGXbx8WHLZItksoQnrjMm7kL7DS\n6HWEdPkyKUNa8AJX1WKj1hHShevku7l1N/rxBmNWGnsBKs3FBkhBSBBASBBASBBASBBASBBA\nSBBASBBASBBASAv4crr//fDKl+qv/3b6ly9/31N/8/FweP+969+NB0JawK9eqkL6+4NuHl57\nREkDCGkB/wzp9Y988vHw6e7u0+Fdn78VfxLSvH7e3zD7+PPhxdx+NfLpcLwv4/69mw+P793/\n8ce/nD7y50M4pzfHX1/dqgJp5JM8r+Opi3e/Q/pweufT6b3j03v3xfz6lw9PId3n9u3+4K+H\nz+fT+I40gpCm9fnhhtmXp5t273/e/7fj+b0vD++dPuLj3ffHn49O//w4vL//8A+PPxp9O52B\n3oQ0rXcPN8w+PIV0c/dYy+/3Th/28+Hjny42fDj8uH/vfP3u5vh+j7/81RHStH6/4O8fFxt+\nX5r785vQ3V//04/7+L7df5860dEgQprWm0O6/yZ18/CD0t0PHQ0ipGm9e/raFEN6edPu/tvR\np4cLdl9PNwwZQUjT+nS62PD1dOWgGNLpw348+/b07vDrgsP3g+9HowhpWg/XtX9dOHi8Qvda\nSDe/r5KfP/L0Lenw9f7N+6cbh/Tmkzyvp0fKfSmFdPfjvpePN+fH2p0v1j1e2BPSKD7JGX13\nJ+xoQsro/cM1O8YRUj6Hg4sMwwkpn6OL3uMJCQIICQIICQIICQIICQIICQIICQIICQL8H5T3\nemLtnSrqAAAAAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot4 = ggplot(data=gaw, aes(x = ethnicity2, y = MaxDinks)) + \n",
    "        geom_boxplot(col = 'red', fill = \"green\") + \n",
    "        theme_classic()\n",
    "\n",
    "plot(plot4)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "R",
   "language": "R",
   "name": "ir"
  },
  "language_info": {
   "codemirror_mode": "r",
   "file_extension": ".r",
   "mimetype": "text/x-r-source",
   "name": "R",
   "pygments_lexer": "r",
   "version": "3.6.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}