5 - ggplot2 - Multiplot (optional).ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Spain Wage Structure Survey\n",
    "\n",
    "The data presented here has been retrieved from the periodical INE survey about Spain's population wage structure:\n",
    "https://www.ine.es/dyngs/INEbase/en/operacion.htm?c=Estadistica_C&cid=1254736177025&menu=ultiDatos&idp=1254735976596\n",
    "\n",
    "Information about each variable can be found in the dr_EES_2014.xlsx file.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<caption>A data.frame: 6 × 54</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>ORDENCCC</th><th scope=col>ORDENTRA</th><th scope=col>NUTS1</th><th scope=col>CNACE</th><th scope=col>ESTRATO2</th><th scope=col>CONTROL</th><th scope=col>MERCADO</th><th scope=col>REGULACION</th><th scope=col>SEXO</th><th scope=col>TIPOPAIS</th><th scope=col>⋯</th><th scope=col>DSIESPA2</th><th scope=col>SIESPA3</th><th scope=col>DSIESPA3</th><th scope=col>SIESPA4</th><th scope=col>DSIESPA4</th><th scope=col>SALBRUTO</th><th scope=col>GEXTRA</th><th scope=col>VESP</th><th scope=col>ANOS2</th><th scope=col>FACTOTAL</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>⋯</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>1</th><td>15000007</td><td>1</td><td>1</td><td>C1</td><td>3</td><td>Privado</td><td>2</td><td>3</td><td>Hombre</td><td>1</td><td>⋯</td><td> 0</td><td>6</td><td>0</td><td>6</td><td>0</td><td>116002.04</td><td>38627.76</td><td>393.52</td><td>3</td><td> 1.00</td></tr>\n",
       "\t<tr><th scope=row>2</th><td>15000007</td><td>2</td><td>1</td><td>C1</td><td>3</td><td>Privado</td><td>2</td><td>3</td><td>Hombre</td><td>1</td><td>⋯</td><td> 0</td><td>6</td><td>0</td><td>6</td><td>0</td><td> 50156.66</td><td>11968.66</td><td>196.76</td><td>3</td><td>15.68</td></tr>\n",
       "\t<tr><th scope=row>3</th><td>15000007</td><td>3</td><td>1</td><td>C1</td><td>3</td><td>Privado</td><td>2</td><td>3</td><td>Hombre</td><td>1</td><td>⋯</td><td> 0</td><td>6</td><td>0</td><td>6</td><td>0</td><td> 37970.71</td><td> 6649.79</td><td> 98.38</td><td>4</td><td>15.68</td></tr>\n",
       "\t<tr><th scope=row>4</th><td>15000007</td><td>4</td><td>1</td><td>C1</td><td>3</td><td>Privado</td><td>2</td><td>3</td><td>Hombre</td><td>1</td><td>⋯</td><td> 0</td><td>6</td><td>0</td><td>6</td><td>0</td><td> 62000.00</td><td>24285.70</td><td>  0.00</td><td>4</td><td>15.68</td></tr>\n",
       "\t<tr><th scope=row>5</th><td>15000007</td><td>5</td><td>1</td><td>C1</td><td>3</td><td>Privado</td><td>2</td><td>3</td><td>Hombre</td><td>1</td><td>⋯</td><td> 0</td><td>6</td><td>0</td><td>6</td><td>0</td><td> 60425.00</td><td>15833.24</td><td>  0.00</td><td>3</td><td>15.68</td></tr>\n",
       "\t<tr><th scope=row>6</th><td>15000007</td><td>6</td><td>1</td><td>C1</td><td>3</td><td>Privado</td><td>2</td><td>3</td><td>Hombre</td><td>1</td><td>⋯</td><td>13</td><td>6</td><td>0</td><td>6</td><td>0</td><td> 38200.00</td><td> 8461.13</td><td>  0.00</td><td>2</td><td>15.68</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 54\n",
       "\\begin{tabular}{r|lllllllllllllllllllll}\n",
       "  & ORDENCCC & ORDENTRA & NUTS1 & CNACE & ESTRATO2 & CONTROL & MERCADO & REGULACION & SEXO & TIPOPAIS & ⋯ & DSIESPA2 & SIESPA3 & DSIESPA3 & SIESPA4 & DSIESPA4 & SALBRUTO & GEXTRA & VESP & ANOS2 & FACTOTAL\\\\\n",
       "  & <int> & <int> & <int> & <chr> & <int> & <chr> & <int> & <int> & <chr> & <int> & ⋯ & <int> & <int> & <int> & <int> & <int> & <dbl> & <dbl> & <dbl> & <int> & <dbl>\\\\\n",
       "\\hline\n",
       "\t1 & 15000007 & 1 & 1 & C1 & 3 & Privado & 2 & 3 & Hombre & 1 & ⋯ &  0 & 6 & 0 & 6 & 0 & 116002.04 & 38627.76 & 393.52 & 3 &  1.00\\\\\n",
       "\t2 & 15000007 & 2 & 1 & C1 & 3 & Privado & 2 & 3 & Hombre & 1 & ⋯ &  0 & 6 & 0 & 6 & 0 &  50156.66 & 11968.66 & 196.76 & 3 & 15.68\\\\\n",
       "\t3 & 15000007 & 3 & 1 & C1 & 3 & Privado & 2 & 3 & Hombre & 1 & ⋯ &  0 & 6 & 0 & 6 & 0 &  37970.71 &  6649.79 &  98.38 & 4 & 15.68\\\\\n",
       "\t4 & 15000007 & 4 & 1 & C1 & 3 & Privado & 2 & 3 & Hombre & 1 & ⋯ &  0 & 6 & 0 & 6 & 0 &  62000.00 & 24285.70 &   0.00 & 4 & 15.68\\\\\n",
       "\t5 & 15000007 & 5 & 1 & C1 & 3 & Privado & 2 & 3 & Hombre & 1 & ⋯ &  0 & 6 & 0 & 6 & 0 &  60425.00 & 15833.24 &   0.00 & 3 & 15.68\\\\\n",
       "\t6 & 15000007 & 6 & 1 & C1 & 3 & Privado & 2 & 3 & Hombre & 1 & ⋯ & 13 & 6 & 0 & 6 & 0 &  38200.00 &  8461.13 &   0.00 & 2 & 15.68\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 54\n",
       "\n",
       "| <!--/--> | ORDENCCC &lt;int&gt; | ORDENTRA &lt;int&gt; | NUTS1 &lt;int&gt; | CNACE &lt;chr&gt; | ESTRATO2 &lt;int&gt; | CONTROL &lt;chr&gt; | MERCADO &lt;int&gt; | REGULACION &lt;int&gt; | SEXO &lt;chr&gt; | TIPOPAIS &lt;int&gt; | ⋯ ⋯ | DSIESPA2 &lt;int&gt; | SIESPA3 &lt;int&gt; | DSIESPA3 &lt;int&gt; | SIESPA4 &lt;int&gt; | DSIESPA4 &lt;int&gt; | SALBRUTO &lt;dbl&gt; | GEXTRA &lt;dbl&gt; | VESP &lt;dbl&gt; | ANOS2 &lt;int&gt; | FACTOTAL &lt;dbl&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| 1 | 15000007 | 1 | 1 | C1 | 3 | Privado | 2 | 3 | Hombre | 1 | ⋯ |  0 | 6 | 0 | 6 | 0 | 116002.04 | 38627.76 | 393.52 | 3 |  1.00 |\n",
       "| 2 | 15000007 | 2 | 1 | C1 | 3 | Privado | 2 | 3 | Hombre | 1 | ⋯ |  0 | 6 | 0 | 6 | 0 |  50156.66 | 11968.66 | 196.76 | 3 | 15.68 |\n",
       "| 3 | 15000007 | 3 | 1 | C1 | 3 | Privado | 2 | 3 | Hombre | 1 | ⋯ |  0 | 6 | 0 | 6 | 0 |  37970.71 |  6649.79 |  98.38 | 4 | 15.68 |\n",
       "| 4 | 15000007 | 4 | 1 | C1 | 3 | Privado | 2 | 3 | Hombre | 1 | ⋯ |  0 | 6 | 0 | 6 | 0 |  62000.00 | 24285.70 |   0.00 | 4 | 15.68 |\n",
       "| 5 | 15000007 | 5 | 1 | C1 | 3 | Privado | 2 | 3 | Hombre | 1 | ⋯ |  0 | 6 | 0 | 6 | 0 |  60425.00 | 15833.24 |   0.00 | 3 | 15.68 |\n",
       "| 6 | 15000007 | 6 | 1 | C1 | 3 | Privado | 2 | 3 | Hombre | 1 | ⋯ | 13 | 6 | 0 | 6 | 0 |  38200.00 |  8461.13 |   0.00 | 2 | 15.68 |\n",
       "\n"
      ],
      "text/plain": [
       "  ORDENCCC ORDENTRA NUTS1 CNACE ESTRATO2 CONTROL MERCADO REGULACION SEXO  \n",
       "1 15000007 1        1     C1    3        Privado 2       3          Hombre\n",
       "2 15000007 2        1     C1    3        Privado 2       3          Hombre\n",
       "3 15000007 3        1     C1    3        Privado 2       3          Hombre\n",
       "4 15000007 4        1     C1    3        Privado 2       3          Hombre\n",
       "5 15000007 5        1     C1    3        Privado 2       3          Hombre\n",
       "6 15000007 6        1     C1    3        Privado 2       3          Hombre\n",
       "  TIPOPAIS ⋯ DSIESPA2 SIESPA3 DSIESPA3 SIESPA4 DSIESPA4 SALBRUTO  GEXTRA  \n",
       "1 1        ⋯  0       6       0        6       0        116002.04 38627.76\n",
       "2 1        ⋯  0       6       0        6       0         50156.66 11968.66\n",
       "3 1        ⋯  0       6       0        6       0         37970.71  6649.79\n",
       "4 1        ⋯  0       6       0        6       0         62000.00 24285.70\n",
       "5 1        ⋯  0       6       0        6       0         60425.00 15833.24\n",
       "6 1        ⋯ 13       6       0        6       0         38200.00  8461.13\n",
       "  VESP   ANOS2 FACTOTAL\n",
       "1 393.52 3      1.00   \n",
       "2 196.76 3     15.68   \n",
       "3  98.38 4     15.68   \n",
       "4   0.00 4     15.68   \n",
       "5   0.00 3     15.68   \n",
       "6   0.00 2     15.68   "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<style>\n",
       ".list-inline {list-style: none; margin:0; padding: 0}\n",
       ".list-inline>li {display: inline-block}\n",
       ".list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n",
       "</style>\n",
       "<ol class=list-inline><li>209436</li><li>54</li></ol>\n"
      ],
      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item 209436\n",
       "\\item 54\n",
       "\\end{enumerate*}\n"
      ],
      "text/markdown": [
       "1. 209436\n",
       "2. 54\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "[1] 209436     54"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "salary <- read.csv(\"Data/salario.csv\")\n",
    "head(salary)\n",
    "dim(salary)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "library(ggplot2)\n",
    "\n",
    "# default plots size\n",
    "options(repr.plot.width = 20, repr.plot.height = 10, repr.plot.res = 100)\n",
    "\n",
    "# default theme and font size\n",
    "theme_set(theme_bw(base_size = 24))\n",
    "\n",
    "\n",
    "\n",
    "ggplot(salary, aes(x=SALBRUTO)) + geom_density(fill=\"darkorange\", color=\"black\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "ggplot(salary, aes(x=log(SALBRUTO))) + geom_density(fill=\"darkorange\", color=\"black\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "ggplot(salary, aes(x=log(SALBRUTO))) + geom_density(aes(fill=SEXO),  color=\"black\", alpha=0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# How different are wages, on average? Remember aggregate?\n",
    "aggregate(salary$SALBRUTO, by=list(salary$SEXO), mean)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# A0\tDIRECTORES Y GERENTES\n",
    "# B0\tTÉCNICOS Y PROFESIONALES CIENTÍFICOS E INTELECTUALES DE LA SALUD Y LA ENSEÑANZA\n",
    "# C0\tOTROS TÉCNICOS Y PROFESIONALES CIENTÍFICOS E INTELECTUALES\n",
    "# D0\tTÉCNICOS; PROFESIONALES DE APOYO\n",
    "# E0\tEMPLEADOS DE OFICINA QUE NO ATIENDEN AL PÚBLICO\n",
    "# F0\tEMPLEADOS DE OFICINA QUE ATIENDEN AL PÚBLICO\n",
    "# G0\tTRABAJADORES DE LOS SERVICIOS DE RESTAURACION Y COMERCIO\n",
    "# H0\tTRABAJADORES DE LOS SERVICIOS DE SALUD Y EL CUIDADO DE PERSONAS\n",
    "# I0\tTRABAJADORES DE LOS SERVICOS DE PROTECCION Y SEGURIDAD\n",
    "# J0\tTRABAJADORES CUALIFICADOS EN EL SECTOR AGRÍCOLA, GANADERO, FORESTAL Y PESQUERO\n",
    "# K0\tTRABAJADORES CUALIFICADOS DE LA CONSTRUCCION, EXCEPTO LOS OPERADORES DE MÁQUINAS\n",
    "# L0\tTRABAJADORES CUALIFICADOS DE LAS INDUSTRIAS MANUFACTURERAS, EXCEPTO OPERADORES DE INSTALACIONES Y MÁQUINAS\n",
    "# M0\tOPERADORES DE INSTALACIONES Y MAQUINARIA FIJAS, Y MONTADORES\n",
    "# N0\tCONDUCTORES Y OPERADORES DE MAQUINARIA MOVIL\n",
    "# O0\tTRABAJADORES NO CUALIFICADOS EN SERVICIOS\n",
    "# P0\tPEONES DE LA AGRICULTURA, PESCA, CONSTRUCCIÓN, INDUSTRIAS MANUFACTURERAS Y TRANSPORTES\n",
    "# Q0\tOCUPACIONES MILITARES\n",
    "\n",
    "# How different are wages by position?\n",
    "aggregate(salary$SALBRUTO, by=list(salary$CNO1), mean)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Boxplots by positions\n",
    "ggplot(salary, aes(y=log(SALBRUTO))) + geom_boxplot(aes(fill=CNO1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Let's compare wages between sexes depending on position\n",
    "means <- aggregate((salary$SALBRUTO), by=list(salary$SEXO, salary$CNO1), mean)\n",
    "sds <- aggregate((salary$SALBRUTO), by=list(salary$SEXO, salary$CNO1), sd)\n",
    "\n",
    "head(means)\n",
    "head(sds)\n",
    "\n",
    "sex_positions <- data.frame(SEXO=means$`Group.1`, Position=means$`Group.2`,   mean=means$x, sd=sds$x)\n",
    "sex_positions"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Facets\n",
    "\n",
    "Facets allow you to create multiple plot based on factors."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "means <- aggregate((salary$SALBRUTO), by=list(salary$SEXO, salary$CNO1), mean)\n",
    "sds <- aggregate((salary$SALBRUTO), by=list(salary$SEXO, salary$CNO1), sd)\n",
    "\n",
    "sex_positions <- data.frame(SEXO=means$`Group.1`, Position=means$`Group.2`,   mean=means$x, sd=sds$x)\n",
    "\n",
    "\n",
    "options(repr.plot.width = 20, repr.plot.height = 20, repr.plot.res = 100)\n",
    "\n",
    "\n",
    "# Let's compare wages between sexes depending on position\n",
    "#ggplot(sex_positions, aes(x=Position, y=mean)) + geom_point(aes(color=SEXO), size=5)\n",
    "#ggplot(sex_positions, aes(x=Position, y=mean)) + geom_point(aes(x=SEXO, color=SEXO), size=5) + facet_wrap(Position~.)\n",
    "ggplot(sex_positions, aes(x=Position, y=mean)) + \n",
    "    geom_errorbar(aes(x=SEXO, ymin=mean-sd, ymax=mean+sd), width=0) + \n",
    "    geom_point(aes(x=SEXO, color=SEXO), size=5) +     \n",
    "    facet_wrap(Position~., scales = \"free_y\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## grid.arrange and cheating with data\n",
    "\n",
    "In previous classes we saw that you can use the par() function to arrange several different plot on the same page. With ggplot you need to use gridArrange, from the gridExtra package."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<caption>A data.frame: 6 × 4</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>SEXO</th><th scope=col>ESTU</th><th scope=col>mean</th><th scope=col>sd</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>1</th><td>Hombre</td><td>1</td><td>9.552035</td><td>0.7206533</td></tr>\n",
       "\t<tr><th scope=row>2</th><td>Mujer </td><td>1</td><td>9.019467</td><td>0.8484114</td></tr>\n",
       "\t<tr><th scope=row>3</th><td>Hombre</td><td>2</td><td>9.678520</td><td>0.6815540</td></tr>\n",
       "\t<tr><th scope=row>4</th><td>Mujer </td><td>2</td><td>9.152834</td><td>0.8317309</td></tr>\n",
       "\t<tr><th scope=row>5</th><td>Hombre</td><td>3</td><td>9.767660</td><td>0.6636415</td></tr>\n",
       "\t<tr><th scope=row>6</th><td>Mujer </td><td>3</td><td>9.335045</td><td>0.7945205</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 4\n",
       "\\begin{tabular}{r|llll}\n",
       "  & SEXO & ESTU & mean & sd\\\\\n",
       "  & <chr> & <int> & <dbl> & <dbl>\\\\\n",
       "\\hline\n",
       "\t1 & Hombre & 1 & 9.552035 & 0.7206533\\\\\n",
       "\t2 & Mujer  & 1 & 9.019467 & 0.8484114\\\\\n",
       "\t3 & Hombre & 2 & 9.678520 & 0.6815540\\\\\n",
       "\t4 & Mujer  & 2 & 9.152834 & 0.8317309\\\\\n",
       "\t5 & Hombre & 3 & 9.767660 & 0.6636415\\\\\n",
       "\t6 & Mujer  & 3 & 9.335045 & 0.7945205\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 4\n",
       "\n",
       "| <!--/--> | SEXO &lt;chr&gt; | ESTU &lt;int&gt; | mean &lt;dbl&gt; | sd &lt;dbl&gt; |\n",
       "|---|---|---|---|---|\n",
       "| 1 | Hombre | 1 | 9.552035 | 0.7206533 |\n",
       "| 2 | Mujer  | 1 | 9.019467 | 0.8484114 |\n",
       "| 3 | Hombre | 2 | 9.678520 | 0.6815540 |\n",
       "| 4 | Mujer  | 2 | 9.152834 | 0.8317309 |\n",
       "| 5 | Hombre | 3 | 9.767660 | 0.6636415 |\n",
       "| 6 | Mujer  | 3 | 9.335045 | 0.7945205 |\n",
       "\n"
      ],
      "text/plain": [
       "  SEXO   ESTU mean     sd       \n",
       "1 Hombre 1    9.552035 0.7206533\n",
       "2 Mujer  1    9.019467 0.8484114\n",
       "3 Hombre 2    9.678520 0.6815540\n",
       "4 Mujer  2    9.152834 0.8317309\n",
       "5 Hombre 3    9.767660 0.6636415\n",
       "6 Mujer  3    9.335045 0.7945205"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<caption>A data.frame: 6 × 4</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>SEXO</th><th scope=col>ESTU</th><th scope=col>mean</th><th scope=col>sd</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>1</th><td>Hombre</td><td>1</td><td>17099.37</td><td> 9449.349</td></tr>\n",
       "\t<tr><th scope=row>2</th><td>Mujer </td><td>1</td><td>10797.76</td><td> 6853.122</td></tr>\n",
       "\t<tr><th scope=row>3</th><td>Hombre</td><td>2</td><td>19203.29</td><td>13452.828</td></tr>\n",
       "\t<tr><th scope=row>4</th><td>Mujer </td><td>2</td><td>12233.22</td><td> 7878.033</td></tr>\n",
       "\t<tr><th scope=row>5</th><td>Hombre</td><td>3</td><td>20846.43</td><td>13359.753</td></tr>\n",
       "\t<tr><th scope=row>6</th><td>Mujer </td><td>3</td><td>14470.33</td><td>10142.153</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 4\n",
       "\\begin{tabular}{r|llll}\n",
       "  & SEXO & ESTU & mean & sd\\\\\n",
       "  & <chr> & <int> & <dbl> & <dbl>\\\\\n",
       "\\hline\n",
       "\t1 & Hombre & 1 & 17099.37 &  9449.349\\\\\n",
       "\t2 & Mujer  & 1 & 10797.76 &  6853.122\\\\\n",
       "\t3 & Hombre & 2 & 19203.29 & 13452.828\\\\\n",
       "\t4 & Mujer  & 2 & 12233.22 &  7878.033\\\\\n",
       "\t5 & Hombre & 3 & 20846.43 & 13359.753\\\\\n",
       "\t6 & Mujer  & 3 & 14470.33 & 10142.153\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 4\n",
       "\n",
       "| <!--/--> | SEXO &lt;chr&gt; | ESTU &lt;int&gt; | mean &lt;dbl&gt; | sd &lt;dbl&gt; |\n",
       "|---|---|---|---|---|\n",
       "| 1 | Hombre | 1 | 17099.37 |  9449.349 |\n",
       "| 2 | Mujer  | 1 | 10797.76 |  6853.122 |\n",
       "| 3 | Hombre | 2 | 19203.29 | 13452.828 |\n",
       "| 4 | Mujer  | 2 | 12233.22 |  7878.033 |\n",
       "| 5 | Hombre | 3 | 20846.43 | 13359.753 |\n",
       "| 6 | Mujer  | 3 | 14470.33 | 10142.153 |\n",
       "\n"
      ],
      "text/plain": [
       "  SEXO   ESTU mean     sd       \n",
       "1 Hombre 1    17099.37  9449.349\n",
       "2 Mujer  1    10797.76  6853.122\n",
       "3 Hombre 2    19203.29 13452.828\n",
       "4 Mujer  2    12233.22  7878.033\n",
       "5 Hombre 3    20846.43 13359.753\n",
       "6 Mujer  3    14470.33 10142.153"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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AAAAA4xK4A9PL29/+9h/8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      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 500,
       "width": 1000
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "library(ggplot2)\n",
    "library(gridExtra)\n",
    "\n",
    "# default plots size\n",
    "options(repr.plot.width = 20, repr.plot.height = 10, repr.plot.res = 100)\n",
    "\n",
    "# default theme and font size\n",
    "theme_set(theme_bw(base_size = 24))\n",
    "\n",
    "\n",
    "# Let's compare wages between sexes depending on studies (with the LOG salary)\n",
    "mean <- aggregate(log(salary$SALBRUTO), by=list(salary$SEXO, salary$ESTU), mean)\n",
    "sd <- aggregate(log(salary$SALBRUTO), by=list(salary$SEXO, salary$ESTU), sd)\n",
    "sex_estu_log <- data.frame(SEXO=mean$`Group.1`, ESTU=mean$`Group.2`,   mean=mean$x, sd=sd$x)\n",
    "head(sex_estu_log)\n",
    "\n",
    "# Let's compare wages between sexes depending on studies (with the NATURAL salary)\n",
    "mean <- aggregate(salary$SALBRUTO, by=list(salary$SEXO, salary$ESTU), mean)\n",
    "sd <- aggregate(salary$SALBRUTO, by=list(salary$SEXO, salary$ESTU), sd)\n",
    "sex_estu_nat <- data.frame(SEXO=mean$`Group.1`, ESTU=mean$`Group.2`,   mean=mean$x, sd=sd$x)\n",
    "head(sex_estu_nat)\n",
    "\n",
    "\n",
    "# geom_pointragne allows you to put dots and bars at the same time (for more shapes: http://www.sthda.com/english/wiki/ggplot2-point-shapes)\n",
    "p1 <- ggplot(sex_estu_log) + geom_pointrange(aes(x=ESTU, y=mean, ymin=mean-sd, ymax=mean+sd, fill=SEXO), size=1.5, shape=22, color=\"black\", position = position_dodge(width=0.3))\n",
    "p2 <- ggplot(sex_estu_nat) + geom_pointrange(aes(x=ESTU, y=mean, ymin=mean-sd, ymax=mean+sd, fill=SEXO), size=1.5, shape=24, color=\"black\", position = position_dodge(width=0.3))\n",
    "\n",
    "# plot the two graph on the same page next to each other\n",
    "grid.arrange(p1, p2, nrow=1)\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It looks like we are getting two different results depending on whether the data has been log-transformed or not. In one case, studying decreases the gender pay gap and in the other it makes it worse! What do you think is happening? Which of the two plots is more correct? Are they both wrong? *hint: try to plot the histogram each data distributions (as in the first figures) against its own mean (as a vertical line), what do you observe?*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Warning message:\n",
      "“Removed 1866 rows containing non-finite values (stat_density).”\n"
     ]
    },
    {
     "data": {
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z11xkH+4z/+Ix6PX3DBBf/rf/2vOXPmSMrJyfnYxz72qU99StL27dtDoZDNPwcA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\nBwdHRHDVrfPicDisVmtkpM++9v3ggw+2b9/+4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haabgEAAIBh1kDd30Mbxql7UvY999zTunXrJUuWmI4CgP/BwB0A/M7Ro0fHjBlzQW2N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\ncCoM3AGgIuzateu555577733srOzL6itV67XtZ1UOdJ0FuA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      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 500,
       "width": 1000
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "p3 <- ggplot(salary, aes(x=log(SALBRUTO))) + geom_density(fill=\"orange\") +\n",
    "    geom_vline(xintercept = mean(log(salary$SALBRUTO)), color=\"red\", linetype=\"dashed\", size=1)\n",
    "\n",
    "p4 <- ggplot(salary, aes (x=SALBRUTO)) + geom_density(fill=\"darkorange\") +\n",
    "    geom_vline(xintercept = mean((salary$SALBRUTO)), color=\"red\", linetype=\"dashed\", size=1) +\n",
    "    xlim(c(0, 100000))\n",
    "\n",
    "grid.arrange(p3, p4, nrow=1)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Vr13HPPjetjAQDAhKJwBwCAQrF69epE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\nAAAGAc147wTPmuzjAAAAAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 500,
       "width": 1000
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df <- data.frame(N = rnorm(10000, 0, 1))\n",
    "\n",
    "ggplot(df, aes(x=N)) + geom_density(fill=\"lightgreen\") + xlim(c(-10, 10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Warning message:\n",
      "“Removed 1866 rows containing non-finite values (stat_density).”\n",
      "Warning message:\n",
      "“Removed 139 rows containing non-finite values (stat_density).”\n"
     ]
    },
    {
     "data": {
      "image/png": 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C+XyyJyok1Nm5ubF445ETWyz2azV1111Z/92Z+pd/r9/r/+67/+x3/8x2efffYn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+pdfrR7xQZ2fniJ9MKAW4XC7vjFAY+FTA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\nst/E35A1yK/feRZ1JeP0tYzXxTVsFnVAX+1li+1HDNbV1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      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 500,
       "width": 1000
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# create a normal ditribution with mean and sd equal to the log(SALBRUTO)\n",
    "mean_log_salbruto <- mean(log(salary$SALBRUTO))\n",
    "sd_log_salbruto <- sd(log(salary$SALBRUTO))\n",
    "norm_log_salbruto <- rnorm(length(salary$SALBRUTO), mean_log_salbruto, sd_log_salbruto) \n",
    "\n",
    "# create a normal ditribution with mean and sd equal to the natural SALBRUTO\n",
    "mean_nat_salbruto <- mean(salary$SALBRUTO)\n",
    "sd_nat_salbruto <- sd(salary$SALBRUTO)\n",
    "norm_nat_salbruto <- rnorm(length(salary$SALBRUTO), mean_nat_salbruto, sd_nat_salbruto) \n",
    "\n",
    "# create two dataframes to plot the SALBRUTOs againt their related normal distribution\n",
    "df_log <- data.frame(LOGSALBRUTO = log(salary$SALBRUTO), NORM = norm_log_salbruto)\n",
    "df_nat <- data.frame(SALBRUTO = salary$SALBRUTO, NORM = norm_nat_salbruto)\n",
    "\n",
    "p1 <- ggplot(df_log) + \n",
    "        geom_density(aes(LOGSALBRUTO), fill=\"orange\", alpha=0.5) + \n",
    "        geom_density(aes(NORM), fill=\"yellow\", alpha=0.5) \n",
    "\n",
    "p2 <- ggplot(df_nat) + \n",
    "        geom_density(aes(SALBRUTO), fill=\"darkorange\", alpha=0.5) + \n",
    "        geom_density(aes(NORM), fill=\"yellow\", alpha=0.5) + xlim(c(-50000, 100000))\n",
    "\n",
    "grid.arrange(p1, p2, nrow=1)\n",
    "\n"
   ]
  }
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