diff --git a/Testes_hist/TESTE_KS.ipynb b/Testes_hist/TESTE_KS.ipynb
index 1cf970273a0e787e52da1b61eaf74a64fac8b285..487078fee84d685e540d0c7401b8bcc88f72c769 100644
--- a/Testes_hist/TESTE_KS.ipynb
+++ b/Testes_hist/TESTE_KS.ipynb
@@ -236,17 +236,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 58,
    "id": "a9629868-ef70-4073-856b-fa3cee413898",
-   "metadata": {
-    "scrolled": true
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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F/q371E1A8Du4z5Ifhm+odfTTFntszs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\nAABJRU5ErkJggg==",
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iHYAYBS0FIMgI14twoAFCKxpVj/edPNpjqR1FKsluHYlsBQ2ewRAF5vBDsAUIh0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\n",
       "text/plain": [
-       "Plot with title “NUM_SALAS”"
+       "Plot with title “NUM_DVD 2014”"
       ]
      },
      "metadata": {
@@ -265,31 +263,16 @@
       "\tExact two-sample Kolmogorov-Smirnov test\n",
       "\n",
       "data:  data1 and data2\n",
-      "D = 0.021053, p-value = 1\n",
+      "D = 0.7, p-value = 0.01234\n",
       "alternative hypothesis: two-sided\n",
       "\n"
      ]
     },
     {
      "data": {
-      "image/png": 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ADYkSbCTl9r1Narr5lux1w8e/bMnf+dPXvRyy3zPgnTqR3rj1keGfLpsoW9OV4H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\neIA8+cvSMwAAAABJRU5ErkJggg==",
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cQbb4h27cQ//whZFkIIvV4sXy7eflsMGSLKli36igDguaPVAWbHLIKdysHJQaW/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",
       "text/plain": [
-       "Plot with title “NUM_SALAS”"
-      ]
-     },
-     "metadata": {
-      "image/png": {
-       "height": 420,
-       "width": 420
-      }
-     },
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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6PuvlJUkx8s5gTFxgoTqt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",
-      "text/plain": [
-       "Plot with title “ecdf(x)”"
+       "Plot with title “NUM_DVD 2014”"
       ]
      },
      "metadata": {
@@ -305,12 +288,17 @@
     "# Dados agrupados por ano\n",
     "ANO <- df[\"ANO_CENSO\"]\n",
     "\n",
+    "col1 <- \"NUM_SALAS\"\n",
+    "col2 <- \"NUM_DVD\"\n",
+    "ano1 <- 2013\n",
+    "ano2 <- 2014\n",
+    "\n",
     "# Amostras\n",
-    "X <- df[\"NUM_SALAS\"]\n",
-    "data1 <- X[ANO == 2013]\n",
+    "X <- df[col1]\n",
+    "data1 <- X[ANO == ano1]\n",
     "\n",
-    "Y <- df[\"NUM_SALAS\"]\n",
-    "data2 <- Y[ANO == 2014]\n",
+    "Y <- df[col2]\n",
+    "data2 <- Y[ANO == ano2]\n",
     "\n",
     "# Remove zeros\n",
     "data1 <- data1[data1 != 0]\n",
@@ -321,21 +309,27 @@
     "data2 <- remove_outliers(na.omit(data2))\n",
     "\n",
     "# Sub amostras (testar duas amostras de tamanhos iguais para o teste ks)\n",
-    "tam = min(length(data1), length(data2))\n",
-    "data1 = mono_get_sample(data1, tam)\n",
-    "data2 = mono_get_sample(data2, tam)\n",
+    "#tam = min(length(data1), length(data2))\n",
+    "#data1 = mono_get_sample(data1, tam)\n",
+    "#data2 = mono_get_sample(data2, tam)\n",
+    "\n",
+    "# histogramas\n",
+    "par(mfrow=c(1, 2))   # Ajusta plot\n",
+    "data1 <- hist(data1, breaks=10, PLOT=FALSE, main=paste(col1, as.character(ano1)), col=rgb(1,0,0,0.5))\n",
+    "data2 <- hist(data2, breaks=10, PLOT=FALSE, main=paste(col2, as.character(ano1+1)), col=rgb(0,0,1,0.5))\n",
+    "\n",
+    "# Normaliza\n",
+    "data1 <- data1$count / sum(data1$count)\n",
+    "data2 <- data2$count / sum(data2$count)\n",
     "\n",
-    "# Ajusta dados em histogramas\n",
-    "data1 <- hist(data1, breaks=100, PLOT=FALSE)\n",
-    "data2 <- hist(data2, breaks=100, PLOT=FALSE)\n",
-    "data1 <- data1$count\n",
-    "data2 <- data2$count\n",
+    "plot(data1, main=paste(col1, as.character(ano1)), xlab=\"Value\", ylab=\"Normalized Frequency\", col=\"red\")\n",
+    "plot(data2, main=paste(col2, as.character(ano1+1)), xlab=\"Value\", ylab=\"Normalized Frequency\", col=\"blue\")\n",
     "\n",
     "# Executa teste KS\n",
     "print(ks.test(data1, data2))\n",
     "\n",
     "# Plotagem dos dados\n",
-    "plot_ecdf(data1, data2)"
+    "#plot_ecdf(data1, data2)"
    ]
   },
   {
diff --git a/Testes_norm/.ipynb_checkpoints/TESTE_COHEND-checkpoint.ipynb b/Testes_norm/.ipynb_checkpoints/TESTE_COHEND-checkpoint.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..3b5c6016b4becc80b897e4b89346e4baf3358a26
--- /dev/null
+++ b/Testes_norm/.ipynb_checkpoints/TESTE_COHEND-checkpoint.ipynb
@@ -0,0 +1,396 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "b977bf15-ee73-4730-8651-f8a3caffb393",
+   "metadata": {},
+   "source": [
+    "# Analise estatistica com Teste CohenD\n",
+    "Teste de effect size"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "36e8ccea-ef95-4da0-bca9-45bd2fbe5530",
+   "metadata": {},
+   "source": [
+    "## Instalação dos pacotes\n",
+    "Para fazer o jupyter-lab processar R após a instaçação, dentro do ambiente virtual do python e dentro seu client com sudo `sudo R`, instale os pacotes com o comando a seguir."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "57a4780e-976b-4832-b04a-4680e62ccb5a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#install.packages(c('repr', 'IRdisplay', 'evaluate', 'crayon', 'pbdZMQ', 'devtools', 'uuid', 'digest'))\n",
+    "#devtools::install_github('IRkernel/IRkernel')\n",
+    "#IRkernel::installspec()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "ceab7323-0150-4a5c-8b6f-07464f948b9a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<table class=\"dataframe\">\n",
+       "<caption>A data.frame: 6 × 39</caption>\n",
+       "<thead>\n",
+       "\t<tr><th></th><th scope=col>ANO_CENSO</th><th scope=col>NUM_SALAS</th><th scope=col>NUM_SALAS_UTILIZADAS</th><th scope=col>NUM_TV</th><th scope=col>NUM_VIDEOCASSETE</th><th scope=col>NUM_DVD</th><th scope=col>NUM_PARABOLICA</th><th scope=col>NUM_COPIADORA</th><th scope=col>NUM_RETROPROJETOR</th><th scope=col>NUM_IMPRESSORA</th><th scope=col>⋯</th><th scope=col>QTDE_PROF_COORDENADOR</th><th scope=col>QTDE_PROF_FONO</th><th scope=col>QTDE_PROF_NUTRICIONISTA</th><th scope=col>QTDE_PROF_PSICOLOGO</th><th scope=col>QTDE_PROF_ALIMENTACAO</th><th scope=col>QTDE_PROF_PEDAGOGIA</th><th scope=col>QTDE_PROF_SECRETARIO</th><th scope=col>QTDE_PROF_SEGURANCA</th><th scope=col>QTDE_PROF_MONITORES</th><th scope=col>QT_PROF_ADMIN</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;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;int&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;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></tr>\n",
+       "</thead>\n",
+       "<tbody>\n",
+       "\t<tr><th scope=row>1</th><td>2013</td><td> 8</td><td> 8</td><td>3</td><td>0</td><td>1</td><td>1</td><td>0</td><td>1</td><td>4</td><td>⋯</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td></tr>\n",
+       "\t<tr><th scope=row>2</th><td>2013</td><td> 5</td><td> 5</td><td>6</td><td>1</td><td>5</td><td>0</td><td>1</td><td>1</td><td>3</td><td>⋯</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td></tr>\n",
+       "\t<tr><th scope=row>3</th><td>2013</td><td> 8</td><td> 8</td><td>3</td><td>1</td><td>2</td><td>0</td><td>1</td><td>2</td><td>5</td><td>⋯</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td></tr>\n",
+       "\t<tr><th scope=row>4</th><td>2013</td><td>10</td><td>10</td><td>4</td><td>0</td><td>2</td><td>0</td><td>1</td><td>0</td><td>5</td><td>⋯</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td></tr>\n",
+       "\t<tr><th scope=row>5</th><td>2013</td><td>12</td><td>12</td><td>6</td><td>1</td><td>2</td><td>2</td><td>2</td><td>2</td><td>7</td><td>⋯</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td></tr>\n",
+       "\t<tr><th scope=row>6</th><td>2013</td><td> 4</td><td> 4</td><td>1</td><td>1</td><td>1</td><td>0</td><td>1</td><td>1</td><td>1</td><td>⋯</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td></tr>\n",
+       "</tbody>\n",
+       "</table>\n"
+      ],
+      "text/latex": [
+       "A data.frame: 6 × 39\n",
+       "\\begin{tabular}{r|lllllllllllllllllllll}\n",
+       "  & ANO\\_CENSO & NUM\\_SALAS & NUM\\_SALAS\\_UTILIZADAS & NUM\\_TV & NUM\\_VIDEOCASSETE & NUM\\_DVD & NUM\\_PARABOLICA & NUM\\_COPIADORA & NUM\\_RETROPROJETOR & NUM\\_IMPRESSORA & ⋯ & QTDE\\_PROF\\_COORDENADOR & QTDE\\_PROF\\_FONO & QTDE\\_PROF\\_NUTRICIONISTA & QTDE\\_PROF\\_PSICOLOGO & QTDE\\_PROF\\_ALIMENTACAO & QTDE\\_PROF\\_PEDAGOGIA & QTDE\\_PROF\\_SECRETARIO & QTDE\\_PROF\\_SEGURANCA & QTDE\\_PROF\\_MONITORES & QT\\_PROF\\_ADMIN\\\\\n",
+       "  & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & ⋯ & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int>\\\\\n",
+       "\\hline\n",
+       "\t1 & 2013 &  8 &  8 & 3 & 0 & 1 & 1 & 0 & 1 & 4 & ⋯ & NA & NA & NA & NA & NA & NA & NA & NA & NA & NA\\\\\n",
+       "\t2 & 2013 &  5 &  5 & 6 & 1 & 5 & 0 & 1 & 1 & 3 & ⋯ & NA & NA & NA & NA & NA & NA & NA & NA & NA & NA\\\\\n",
+       "\t3 & 2013 &  8 &  8 & 3 & 1 & 2 & 0 & 1 & 2 & 5 & ⋯ & NA & NA & NA & NA & NA & NA & NA & NA & NA & NA\\\\\n",
+       "\t4 & 2013 & 10 & 10 & 4 & 0 & 2 & 0 & 1 & 0 & 5 & ⋯ & NA & NA & NA & NA & NA & NA & NA & NA & NA & NA\\\\\n",
+       "\t5 & 2013 & 12 & 12 & 6 & 1 & 2 & 2 & 2 & 2 & 7 & ⋯ & NA & NA & NA & NA & NA & NA & NA & NA & NA & NA\\\\\n",
+       "\t6 & 2013 &  4 &  4 & 1 & 1 & 1 & 0 & 1 & 1 & 1 & ⋯ & NA & NA & NA & NA & NA & NA & NA & NA & NA & NA\\\\\n",
+       "\\end{tabular}\n"
+      ],
+      "text/markdown": [
+       "\n",
+       "A data.frame: 6 × 39\n",
+       "\n",
+       "| <!--/--> | ANO_CENSO &lt;int&gt; | NUM_SALAS &lt;int&gt; | NUM_SALAS_UTILIZADAS &lt;int&gt; | NUM_TV &lt;int&gt; | NUM_VIDEOCASSETE &lt;int&gt; | NUM_DVD &lt;int&gt; | NUM_PARABOLICA &lt;int&gt; | NUM_COPIADORA &lt;int&gt; | NUM_RETROPROJETOR &lt;int&gt; | NUM_IMPRESSORA &lt;int&gt; | ⋯ ⋯ | QTDE_PROF_COORDENADOR &lt;int&gt; | QTDE_PROF_FONO &lt;int&gt; | QTDE_PROF_NUTRICIONISTA &lt;int&gt; | QTDE_PROF_PSICOLOGO &lt;int&gt; | QTDE_PROF_ALIMENTACAO &lt;int&gt; | QTDE_PROF_PEDAGOGIA &lt;int&gt; | QTDE_PROF_SECRETARIO &lt;int&gt; | QTDE_PROF_SEGURANCA &lt;int&gt; | QTDE_PROF_MONITORES &lt;int&gt; | QT_PROF_ADMIN &lt;int&gt; |\n",
+       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
+       "| 1 | 2013 |  8 |  8 | 3 | 0 | 1 | 1 | 0 | 1 | 4 | ⋯ | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |\n",
+       "| 2 | 2013 |  5 |  5 | 6 | 1 | 5 | 0 | 1 | 1 | 3 | ⋯ | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |\n",
+       "| 3 | 2013 |  8 |  8 | 3 | 1 | 2 | 0 | 1 | 2 | 5 | ⋯ | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |\n",
+       "| 4 | 2013 | 10 | 10 | 4 | 0 | 2 | 0 | 1 | 0 | 5 | ⋯ | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |\n",
+       "| 5 | 2013 | 12 | 12 | 6 | 1 | 2 | 2 | 2 | 2 | 7 | ⋯ | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |\n",
+       "| 6 | 2013 |  4 |  4 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | ⋯ | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |\n",
+       "\n"
+      ],
+      "text/plain": [
+       "  ANO_CENSO NUM_SALAS NUM_SALAS_UTILIZADAS NUM_TV NUM_VIDEOCASSETE NUM_DVD\n",
+       "1 2013       8         8                   3      0                1      \n",
+       "2 2013       5         5                   6      1                5      \n",
+       "3 2013       8         8                   3      1                2      \n",
+       "4 2013      10        10                   4      0                2      \n",
+       "5 2013      12        12                   6      1                2      \n",
+       "6 2013       4         4                   1      1                1      \n",
+       "  NUM_PARABOLICA NUM_COPIADORA NUM_RETROPROJETOR NUM_IMPRESSORA ⋯\n",
+       "1 1              0             1                 4              ⋯\n",
+       "2 0              1             1                 3              ⋯\n",
+       "3 0              1             2                 5              ⋯\n",
+       "4 0              1             0                 5              ⋯\n",
+       "5 2              2             2                 7              ⋯\n",
+       "6 0              1             1                 1              ⋯\n",
+       "  QTDE_PROF_COORDENADOR QTDE_PROF_FONO QTDE_PROF_NUTRICIONISTA\n",
+       "1 NA                    NA             NA                     \n",
+       "2 NA                    NA             NA                     \n",
+       "3 NA                    NA             NA                     \n",
+       "4 NA                    NA             NA                     \n",
+       "5 NA                    NA             NA                     \n",
+       "6 NA                    NA             NA                     \n",
+       "  QTDE_PROF_PSICOLOGO QTDE_PROF_ALIMENTACAO QTDE_PROF_PEDAGOGIA\n",
+       "1 NA                  NA                    NA                 \n",
+       "2 NA                  NA                    NA                 \n",
+       "3 NA                  NA                    NA                 \n",
+       "4 NA                  NA                    NA                 \n",
+       "5 NA                  NA                    NA                 \n",
+       "6 NA                  NA                    NA                 \n",
+       "  QTDE_PROF_SECRETARIO QTDE_PROF_SEGURANCA QTDE_PROF_MONITORES QT_PROF_ADMIN\n",
+       "1 NA                   NA                  NA                  NA           \n",
+       "2 NA                   NA                  NA                  NA           \n",
+       "3 NA                   NA                  NA                  NA           \n",
+       "4 NA                   NA                  NA                  NA           \n",
+       "5 NA                   NA                  NA                  NA           \n",
+       "6 NA                   NA                  NA                  NA           "
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Carrega CSV\n",
+    "options(warn = -1)\n",
+    "library(effectsize)\n",
+    "df = read.csv(\"../dados/escola_integers.csv\", sep=\"|\")\n",
+    "head(df)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2c7eca10-6c0b-427d-be50-c4bf3d224f2d",
+   "metadata": {},
+   "source": [
+    "## Limpeza de Outliers\n",
+    "Para limpar dados que se diferenciam drasticamente do resto do conjunto de dados é utilizado a remoção dos outliers."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "ee18ee6d-1dda-4c65-8347-f3b7e980e83c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Function to remove outliers using the IQR method\n",
+    "remove_outliers <- function(data) {\n",
+    "  # Calculate the interquartile range (IQR)\n",
+    "  Q1 <- quantile(data, 0.25)\n",
+    "  Q3 <- quantile(data, 0.75)\n",
+    "  IQR <- Q3 - Q1\n",
+    "  \n",
+    "  # Define the lower and upper bounds\n",
+    "  lower_bound <- Q1 - 1.5 * IQR\n",
+    "  upper_bound <- Q3 + 1.5 * IQR\n",
+    "  \n",
+    "  # Remove outliers\n",
+    "  cleaned_data <- data[data >= lower_bound & data <= upper_bound]\n",
+    "  \n",
+    "  # Return the cleaned data\n",
+    "  return(cleaned_data)\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7ca6c624-62c0-4fce-b3cd-c47d20c0b85e",
+   "metadata": {},
+   "source": [
+    "## Plot de Grafico\n",
+    "Funções para plot de gráficos"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "4c578156-afa1-4432-acb3-d6a143c0b349",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plot_ecdf <- function(x, x2){\n",
+    "    plot(ecdf(x),\n",
+    "         xlim = range(c(x, x2)), \n",
+    "         col = \"blue\")\n",
+    "    plot(ecdf(x2), \n",
+    "         add = TRUE, \n",
+    "         lty = \"dashed\",\n",
+    "         col = \"red\")\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "69c80406-3d20-408d-8fce-e4a7aea65dd4",
+   "metadata": {},
+   "source": [
+    "## Teste Cohen D\n",
+    "Utilizando testes de effect size é possivel determinar a magnitude da relação entre duas amostras\n",
+    "\n",
+    "Primeiro é selecionado duas amostras que foram agrupadas pelos anos do censo.  \n",
+    "Em seguida é feito uma limpeza dos dados fazendo a retirada dos nulos, outliers e os ordenando.  \n",
+    "Finalmente é executado o teste."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "a9629868-ef70-4073-856b-fa3cee413898",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "ename": "ERROR",
+     "evalue": "Error in cohensD(data1, data2): não foi possível encontrar a função \"cohensD\"\n",
+     "output_type": "error",
+     "traceback": [
+      "Error in cohensD(data1, data2): não foi possível encontrar a função \"cohensD\"\nTraceback:\n",
+      "1. print(cohensD(data1, data2))"
+     ]
+    }
+   ],
+   "source": [
+    "# Dados agrupados por ano\n",
+    "ANO <- df[\"ANO_CENSO\"]\n",
+    "\n",
+    "# Amostras\n",
+    "X <- df[\"NUM_SALAS\"]\n",
+    "Xi <- X[ANO == 2013]\n",
+    "\n",
+    "Y <- df[\"NUM_SALAS\"]\n",
+    "Yi <- Y[ANO == 2014]\n",
+    "\n",
+    "# Limpeza dos dados\n",
+    "data1 <- sort(remove_outliers(na.omit(Xi)))\n",
+    "data2 <- sort(remove_outliers(na.omit(Yi)))\n",
+    "\n",
+    "# Executa teste Cohen D\n",
+    "print(cohensD(data1, data2))\n",
+    "#result = cohen.d(data1, data2)\n",
+    "#print(result$estimate)\n",
+    "\n",
+    "# Plotagem dos dados\n",
+    "plot_ecdf(data1, data2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b6c8c14d-5101-4201-b172-28e5b17016df",
+   "metadata": {},
+   "source": [
+    "## Teste CohenD - Anos subsequentes\n",
+    "Execução do teste T entre uma coluna de um ano contra todas as colunas dos anos subsequentes para todos os anos do csv."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "9aa86d14-0e60-4945-9d5f-d058b3c45654",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Colunas do csv de saida\n",
+    "colunas = c(\"coluna1\", \"ano_coluna1\", \"coluna2\", \"ano_coluna2\", \"tamanho_amostra1\", \"estatistica_cohend\")\n",
+    "output_df = data.frame(matrix(ncol = length(colunas), nrow = 0));\n",
+    "\n",
+    "# Remove ANO_CENSO das iteracoes\n",
+    "atributos = names(df)\n",
+    "atributos = atributos[atributos != \"ANO_CENSO\"]\n",
+    "            \n",
+    "# Separa os anos em amostras\n",
+    "ANO <- df[\"ANO_CENSO\"]\n",
+    "\n",
+    "for(ano in sort(unique(df$ANO_CENSO))){\n",
+    "    for(col1 in atributos) {\n",
+    "        for(col2 in atributos) {\n",
+    "\n",
+    "            # Amostra de um ano\n",
+    "            X <- df[col1]\n",
+    "            Xi <- X[ANO == ano]\n",
+    "\n",
+    "            # Amostra do ano seguinte\n",
+    "            Y <- df[col2]\n",
+    "            Yi <- Y[ANO == ano+1]\n",
+    "\n",
+    "            # Remove NaN, outliers e ordena\n",
+    "            data1 <- sort(remove_outliers(na.omit(Xi)))\n",
+    "            data2 <- sort(remove_outliers(na.omit(Yi)))\n",
+    "\n",
+    "            # Pula casos em que não há dados nas amostras\n",
+    "            if(length(data1) == 0 || length(data2) == 0){\n",
+    "                next\n",
+    "            }\n",
+    "\n",
+    "            # Teste Cohen D\n",
+    "            resultado = cohen.d(data1, data2)\n",
+    "\n",
+    "            # Concatena resultados no dataframe\n",
+    "            nova_linha = c(col1, ano, col2, ano+1, length(data1), resultado$estimate)\n",
+    "            output_df = rbind(output_df, nova_linha)\n",
+    "        }\n",
+    "    }\n",
+    "}\n",
+    "output_csv = \"Result_COHEND/COHEND_subsequente.csv\"\n",
+    "colnames(output_df) <- colunas\n",
+    "write.csv(output_df, file = output_csv, row.names = FALSE)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d52a6568-693a-4d59-b050-2f8d6899433e",
+   "metadata": {},
+   "source": [
+    "## Teste CohenD - Anos acumulados\n",
+    "O mesmo teste anterior, porém com o acumulo da amostra conforme o passar dos anos"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "bd76fa5b-a42c-434a-b3df-83f12f80a262",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Colunas do csv de saida\n",
+    "colunas = c(\"coluna1\", \"ano_coluna1\", \"coluna2\", \"ano_coluna2\", \"tamanho_amostra1\", \"estatistica_cohend\")\n",
+    "output_df = data.frame(matrix(ncol = length(colunas), nrow = 0))\n",
+    "ano_start = min(df$ANO_CENSO)\n",
+    "\n",
+    "# Remove ANO_CENSO das iteracoes\n",
+    "atributos = names(df)\n",
+    "atributos = atributos[atributos != \"ANO_CENSO\"]\n",
+    "            \n",
+    "# Separa os anos em amostras\n",
+    "ANO_COLUMN <- df[\"ANO_CENSO\"]\n",
+    "\n",
+    "for(ano in sort(unique(df$ANO_CENSO))){\n",
+    "    for(col1 in atributos) {\n",
+    "        for(col2 in atributos) {\n",
+    "\n",
+    "            # Amostra acumulada dos anos\n",
+    "            X <- df[col1]\n",
+    "            Xi <- X[ANO_COLUMN >= ano_start & ANO_COLUMN <= ano]\n",
+    "\n",
+    "            # Amostra do ano seguinte\n",
+    "            Y <- df[col2]\n",
+    "            Yi <- Y[ANO_COLUMN == ano+1]\n",
+    "\n",
+    "            # Remove NaN, outliers e ordena\n",
+    "            data1 <- sort(remove_outliers(na.omit(Xi)))\n",
+    "            data2 <- sort(remove_outliers(na.omit(Yi)))\n",
+    "\n",
+    "            # Pula casos em que não há dados nas amostras\n",
+    "            if(length(data1) == 0 || length(data2) == 0){\n",
+    "                next\n",
+    "            }\n",
+    "\n",
+    "            # Teste Cohend\n",
+    "            resultado = cohen.d(data1, data2)\n",
+    "\n",
+    "            # Concatena resultados no dataframe\n",
+    "            nova_linha = c(col1, ano, col2, ano+1, length(data1), resultado$estimate)\n",
+    "            output_df = rbind(output_df, nova_linha)\n",
+    "        }\n",
+    "    }\n",
+    "}\n",
+    "output_csv = \"Result_COHEND/COHEND_acumulado.csv\"\n",
+    "colnames(output_df) <- colunas\n",
+    "write.csv(output_df, file = output_csv, row.names = FALSE)"
+   ]
+  }
+ ],
+ "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": "4.4.0"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/Testes_norm/.ipynb_checkpoints/TESTE_F-checkpoint.ipynb b/Testes_norm/.ipynb_checkpoints/TESTE_F-checkpoint.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..89b211e880697d5ea36f1a66d33d1b1b738ca186
Binary files /dev/null and b/Testes_norm/.ipynb_checkpoints/TESTE_F-checkpoint.ipynb differ
diff --git a/Testes_norm/.ipynb_checkpoints/TESTE_KS-checkpoint.ipynb b/Testes_norm/.ipynb_checkpoints/TESTE_KS-checkpoint.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..8ad6b71627cef7d08b3a1babb6eb81825986e5be
--- /dev/null
+++ b/Testes_norm/.ipynb_checkpoints/TESTE_KS-checkpoint.ipynb
@@ -0,0 +1,469 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "b977bf15-ee73-4730-8651-f8a3caffb393",
+   "metadata": {},
+   "source": [
+    "# Analise estatistica com Teste KS\n",
+    "Utiliza a máxima diferença absoluta entre as duas distribuições acumulativas"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "36e8ccea-ef95-4da0-bca9-45bd2fbe5530",
+   "metadata": {},
+   "source": [
+    "## Instalação dos pacotes\n",
+    "Para fazer o jupyter-lab processar R após a instaçação, dentro do ambiente virtual do python e dentro seu client com sudo `sudo R`, instale os pacotes com o comando a seguir."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "57a4780e-976b-4832-b04a-4680e62ccb5a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#install.packages(c('repr', 'IRdisplay', 'evaluate', 'crayon', 'pbdZMQ', 'devtools', 'uuid', 'digest'))\n",
+    "#devtools::install_github('IRkernel/IRkernel')\n",
+    "#IRkernel::installspec()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "ceab7323-0150-4a5c-8b6f-07464f948b9a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<table class=\"dataframe\">\n",
+       "<caption>A data.frame: 6 × 39</caption>\n",
+       "<thead>\n",
+       "\t<tr><th></th><th scope=col>ANO_CENSO</th><th scope=col>NUM_SALAS</th><th scope=col>NUM_SALAS_UTILIZADAS</th><th scope=col>NUM_TV</th><th scope=col>NUM_VIDEOCASSETE</th><th scope=col>NUM_DVD</th><th scope=col>NUM_PARABOLICA</th><th scope=col>NUM_COPIADORA</th><th scope=col>NUM_RETROPROJETOR</th><th scope=col>NUM_IMPRESSORA</th><th scope=col>⋯</th><th scope=col>QTDE_PROF_COORDENADOR</th><th scope=col>QTDE_PROF_FONO</th><th scope=col>QTDE_PROF_NUTRICIONISTA</th><th scope=col>QTDE_PROF_PSICOLOGO</th><th scope=col>QTDE_PROF_ALIMENTACAO</th><th scope=col>QTDE_PROF_PEDAGOGIA</th><th scope=col>QTDE_PROF_SECRETARIO</th><th scope=col>QTDE_PROF_SEGURANCA</th><th scope=col>QTDE_PROF_MONITORES</th><th scope=col>QT_PROF_ADMIN</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;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;int&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;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></tr>\n",
+       "</thead>\n",
+       "<tbody>\n",
+       "\t<tr><th scope=row>1</th><td>2013</td><td> 8</td><td> 8</td><td>3</td><td>0</td><td>1</td><td>1</td><td>0</td><td>1</td><td>4</td><td>⋯</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td></tr>\n",
+       "\t<tr><th scope=row>2</th><td>2013</td><td> 5</td><td> 5</td><td>6</td><td>1</td><td>5</td><td>0</td><td>1</td><td>1</td><td>3</td><td>⋯</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td></tr>\n",
+       "\t<tr><th scope=row>3</th><td>2013</td><td> 8</td><td> 8</td><td>3</td><td>1</td><td>2</td><td>0</td><td>1</td><td>2</td><td>5</td><td>⋯</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td></tr>\n",
+       "\t<tr><th scope=row>4</th><td>2013</td><td>10</td><td>10</td><td>4</td><td>0</td><td>2</td><td>0</td><td>1</td><td>0</td><td>5</td><td>⋯</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td></tr>\n",
+       "\t<tr><th scope=row>5</th><td>2013</td><td>12</td><td>12</td><td>6</td><td>1</td><td>2</td><td>2</td><td>2</td><td>2</td><td>7</td><td>⋯</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td></tr>\n",
+       "\t<tr><th scope=row>6</th><td>2013</td><td> 4</td><td> 4</td><td>1</td><td>1</td><td>1</td><td>0</td><td>1</td><td>1</td><td>1</td><td>⋯</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td></tr>\n",
+       "</tbody>\n",
+       "</table>\n"
+      ],
+      "text/latex": [
+       "A data.frame: 6 × 39\n",
+       "\\begin{tabular}{r|lllllllllllllllllllll}\n",
+       "  & ANO\\_CENSO & NUM\\_SALAS & NUM\\_SALAS\\_UTILIZADAS & NUM\\_TV & NUM\\_VIDEOCASSETE & NUM\\_DVD & NUM\\_PARABOLICA & NUM\\_COPIADORA & NUM\\_RETROPROJETOR & NUM\\_IMPRESSORA & ⋯ & QTDE\\_PROF\\_COORDENADOR & QTDE\\_PROF\\_FONO & QTDE\\_PROF\\_NUTRICIONISTA & QTDE\\_PROF\\_PSICOLOGO & QTDE\\_PROF\\_ALIMENTACAO & QTDE\\_PROF\\_PEDAGOGIA & QTDE\\_PROF\\_SECRETARIO & QTDE\\_PROF\\_SEGURANCA & QTDE\\_PROF\\_MONITORES & QT\\_PROF\\_ADMIN\\\\\n",
+       "  & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & ⋯ & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int>\\\\\n",
+       "\\hline\n",
+       "\t1 & 2013 &  8 &  8 & 3 & 0 & 1 & 1 & 0 & 1 & 4 & ⋯ & NA & NA & NA & NA & NA & NA & NA & NA & NA & NA\\\\\n",
+       "\t2 & 2013 &  5 &  5 & 6 & 1 & 5 & 0 & 1 & 1 & 3 & ⋯ & NA & NA & NA & NA & NA & NA & NA & NA & NA & NA\\\\\n",
+       "\t3 & 2013 &  8 &  8 & 3 & 1 & 2 & 0 & 1 & 2 & 5 & ⋯ & NA & NA & NA & NA & NA & NA & NA & NA & NA & NA\\\\\n",
+       "\t4 & 2013 & 10 & 10 & 4 & 0 & 2 & 0 & 1 & 0 & 5 & ⋯ & NA & NA & NA & NA & NA & NA & NA & NA & NA & NA\\\\\n",
+       "\t5 & 2013 & 12 & 12 & 6 & 1 & 2 & 2 & 2 & 2 & 7 & ⋯ & NA & NA & NA & NA & NA & NA & NA & NA & NA & NA\\\\\n",
+       "\t6 & 2013 &  4 &  4 & 1 & 1 & 1 & 0 & 1 & 1 & 1 & ⋯ & NA & NA & NA & NA & NA & NA & NA & NA & NA & NA\\\\\n",
+       "\\end{tabular}\n"
+      ],
+      "text/markdown": [
+       "\n",
+       "A data.frame: 6 × 39\n",
+       "\n",
+       "| <!--/--> | ANO_CENSO &lt;int&gt; | NUM_SALAS &lt;int&gt; | NUM_SALAS_UTILIZADAS &lt;int&gt; | NUM_TV &lt;int&gt; | NUM_VIDEOCASSETE &lt;int&gt; | NUM_DVD &lt;int&gt; | NUM_PARABOLICA &lt;int&gt; | NUM_COPIADORA &lt;int&gt; | NUM_RETROPROJETOR &lt;int&gt; | NUM_IMPRESSORA &lt;int&gt; | ⋯ ⋯ | QTDE_PROF_COORDENADOR &lt;int&gt; | QTDE_PROF_FONO &lt;int&gt; | QTDE_PROF_NUTRICIONISTA &lt;int&gt; | QTDE_PROF_PSICOLOGO &lt;int&gt; | QTDE_PROF_ALIMENTACAO &lt;int&gt; | QTDE_PROF_PEDAGOGIA &lt;int&gt; | QTDE_PROF_SECRETARIO &lt;int&gt; | QTDE_PROF_SEGURANCA &lt;int&gt; | QTDE_PROF_MONITORES &lt;int&gt; | QT_PROF_ADMIN &lt;int&gt; |\n",
+       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
+       "| 1 | 2013 |  8 |  8 | 3 | 0 | 1 | 1 | 0 | 1 | 4 | ⋯ | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |\n",
+       "| 2 | 2013 |  5 |  5 | 6 | 1 | 5 | 0 | 1 | 1 | 3 | ⋯ | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |\n",
+       "| 3 | 2013 |  8 |  8 | 3 | 1 | 2 | 0 | 1 | 2 | 5 | ⋯ | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |\n",
+       "| 4 | 2013 | 10 | 10 | 4 | 0 | 2 | 0 | 1 | 0 | 5 | ⋯ | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |\n",
+       "| 5 | 2013 | 12 | 12 | 6 | 1 | 2 | 2 | 2 | 2 | 7 | ⋯ | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |\n",
+       "| 6 | 2013 |  4 |  4 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | ⋯ | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |\n",
+       "\n"
+      ],
+      "text/plain": [
+       "  ANO_CENSO NUM_SALAS NUM_SALAS_UTILIZADAS NUM_TV NUM_VIDEOCASSETE NUM_DVD\n",
+       "1 2013       8         8                   3      0                1      \n",
+       "2 2013       5         5                   6      1                5      \n",
+       "3 2013       8         8                   3      1                2      \n",
+       "4 2013      10        10                   4      0                2      \n",
+       "5 2013      12        12                   6      1                2      \n",
+       "6 2013       4         4                   1      1                1      \n",
+       "  NUM_PARABOLICA NUM_COPIADORA NUM_RETROPROJETOR NUM_IMPRESSORA ⋯\n",
+       "1 1              0             1                 4              ⋯\n",
+       "2 0              1             1                 3              ⋯\n",
+       "3 0              1             2                 5              ⋯\n",
+       "4 0              1             0                 5              ⋯\n",
+       "5 2              2             2                 7              ⋯\n",
+       "6 0              1             1                 1              ⋯\n",
+       "  QTDE_PROF_COORDENADOR QTDE_PROF_FONO QTDE_PROF_NUTRICIONISTA\n",
+       "1 NA                    NA             NA                     \n",
+       "2 NA                    NA             NA                     \n",
+       "3 NA                    NA             NA                     \n",
+       "4 NA                    NA             NA                     \n",
+       "5 NA                    NA             NA                     \n",
+       "6 NA                    NA             NA                     \n",
+       "  QTDE_PROF_PSICOLOGO QTDE_PROF_ALIMENTACAO QTDE_PROF_PEDAGOGIA\n",
+       "1 NA                  NA                    NA                 \n",
+       "2 NA                  NA                    NA                 \n",
+       "3 NA                  NA                    NA                 \n",
+       "4 NA                  NA                    NA                 \n",
+       "5 NA                  NA                    NA                 \n",
+       "6 NA                  NA                    NA                 \n",
+       "  QTDE_PROF_SECRETARIO QTDE_PROF_SEGURANCA QTDE_PROF_MONITORES QT_PROF_ADMIN\n",
+       "1 NA                   NA                  NA                  NA           \n",
+       "2 NA                   NA                  NA                  NA           \n",
+       "3 NA                   NA                  NA                  NA           \n",
+       "4 NA                   NA                  NA                  NA           \n",
+       "5 NA                   NA                  NA                  NA           \n",
+       "6 NA                   NA                  NA                  NA           "
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Carrega CSV\n",
+    "options(warn = -1)\n",
+    "df = read.csv(\"../dados/escola_integers.csv\", sep=\"|\")\n",
+    "head(df)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2c7eca10-6c0b-427d-be50-c4bf3d224f2d",
+   "metadata": {},
+   "source": [
+    "## Limpeza de Outliers\n",
+    "Para limpar dados que se diferenciam drasticamente do resto do conjunto de dados é utilizado a remoção dos outliers."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "ee18ee6d-1dda-4c65-8347-f3b7e980e83c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Function to remove outliers using the IQR method\n",
+    "remove_outliers <- function(data) {\n",
+    "  # Calculate the interquartile range (IQR)\n",
+    "  Q1 <- quantile(data, 0.25)\n",
+    "  Q3 <- quantile(data, 0.75)\n",
+    "  IQR <- Q3 - Q1\n",
+    "  \n",
+    "  # Define the lower and upper bounds\n",
+    "  lower_bound <- Q1 - 1.5 * IQR\n",
+    "  upper_bound <- Q3 + 1.5 * IQR\n",
+    "  \n",
+    "  # Remove outliers\n",
+    "  cleaned_data <- data[data >= lower_bound & data <= upper_bound]\n",
+    "  \n",
+    "  # Return the cleaned data\n",
+    "  return(cleaned_data)\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fdfd2d76-6e51-46dc-bf01-da1839b837e4",
+   "metadata": {},
+   "source": [
+    "## Ajuste de distribuição\n",
+    "Para comparar duas amostras de tamanhos muito diferentes, ou mesmo para rodar testes em que o tamanho influencia o resultado, é calculado uma sub-amostra uniforme.  \n",
+    "Primeiro é calculado a distância de um valor ao próximo (step) `step = get_step(data, 250)`.  \n",
+    "Em seguida é calculado os índices da sub amostra com `indexes = seq(1, length(data), step)`.  \n",
+    "Finalmente é gerado a sub amostra com `subsample = data[indexes, drop=FALSE]`  \n",
+    "Ex:  \n",
+    "X = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, ... , 999, 1000]  \n",
+    "Y = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]  \n",
+    "get_step: Distância entre os valores de uma subamostra de tamanho `tam`  \n",
+    "max_step: Menor distância possível entre valores de uma subamostra entre duas amostras  \n",
+    "get_step(X, 250) -> X = [1, 4, 8, 12, 16, ... , 992, 226, 1000]  \n",
+    "max_step(X, Y)  \n",
+    "|--- X = [1, 100, 200, 300, ..., 900, 1000]  \n",
+    "|--- Y = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]  "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "41bec284-11a2-4f6b-9219-11ad3aaf652b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Function to calculate the step between subsamples\n",
+    "get_step <- function(data, tam) {\n",
+    "    return(length(data)/tam)\n",
+    "}\n",
+    "\n",
+    "max_step <- function(data1, data2) {\n",
+    "    if(length(data1) > length(data2)){\n",
+    "        return(length(data1) / length(data2))\n",
+    "    }\n",
+    "    return(length(data2) / length(data1))\n",
+    "}\n",
+    "\n",
+    "mono_get_sample <- function(data, tam){\n",
+    "    step = get_step(data, tam)\n",
+    "    indexes = seq(1, length(data), step)\n",
+    "    return (data[indexes, drop=FALSE])\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7ca6c624-62c0-4fce-b3cd-c47d20c0b85e",
+   "metadata": {},
+   "source": [
+    "## Plot de Grafico\n",
+    "Funções para plot de gráficos"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "id": "4c578156-afa1-4432-acb3-d6a143c0b349",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plot_ecdf <- function(x, x2){\n",
+    "    plot(ecdf(x),\n",
+    "         xlim = range(c(x, x2)), \n",
+    "         col = \"blue\")\n",
+    "    plot(ecdf(x2), \n",
+    "         add = TRUE, \n",
+    "         lty = \"dashed\",\n",
+    "         col = \"red\")\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "69c80406-3d20-408d-8fce-e4a7aea65dd4",
+   "metadata": {},
+   "source": [
+    "## Teste KS\n",
+    "Utilizando o teste KS é possível analisar se duas amostras de dados pertencem a mesma população de dados.\n",
+    "\n",
+    "Primeiro é selecionado duas amostras que foram agrupadas pelos anos do censo.  \n",
+    "Em seguida é feito uma limpeza dos dados fazendo a retirada dos nulos, outliers e os ordenando.  \n",
+    "Depois é gerado as subamostras para igualar de tamanho.  \n",
+    "Finalmente é executado o teste."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "id": "a9629868-ef70-4073-856b-fa3cee413898",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "\tAsymptotic two-sample Kolmogorov-Smirnov test\n",
+      "\n",
+      "data:  subdata1 and subdata2\n",
+      "D = 0.020158, p-value < 2.2e-16\n",
+      "alternative hypothesis: two-sided\n",
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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nq1vPWWuLomHyxfXjZulOrVtWsLQKpYYwcASJ2Xl8ycKR9+KIcPJ70sNk8erXsC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\nRK5CYII=",
+      "text/plain": [
+       "Plot with title “ecdf(x)”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Dados agrupados por ano\n",
+    "ANO <- df[\"ANO_CENSO\"]\n",
+    "\n",
+    "# Amostras\n",
+    "X <- df[\"NUM_SALAS\"]\n",
+    "Xi <- X[ANO == 2013]\n",
+    "\n",
+    "Y <- df[\"NUM_SALAS\"]\n",
+    "Yi <- Y[ANO == 2014]\n",
+    "\n",
+    "# Limpeza dos dados\n",
+    "data1 <- sort(remove_outliers(na.omit(Xi)))\n",
+    "data2 <- sort(remove_outliers(na.omit(Yi)))\n",
+    "\n",
+    "# Sub amostras (testar duas amostras de tamanhos iguais para o teste ks)\n",
+    "tam = min(length(data1), length(data2))\n",
+    "subdata1 = mono_get_sample(data1, tam)\n",
+    "subdata2 = mono_get_sample(data2, tam)\n",
+    "\n",
+    "# Executa teste KS\n",
+    "print(ks.test(subdata1, subdata2))\n",
+    "\n",
+    "# Plotagem dos dados\n",
+    "plot_ecdf(subdata1, subdata2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b6c8c14d-5101-4201-b172-28e5b17016df",
+   "metadata": {},
+   "source": [
+    "## Teste KS - Anos subsequentes\n",
+    "Execução do teste KS entre uma coluna de um ano contra todas as colunas dos anos subsequentes para todos os anos do csv."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "id": "9aa86d14-0e60-4945-9d5f-d058b3c45654",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Colunas do csv de saida\n",
+    "colunas = c(\"coluna1\", \"ano_coluna1\", \"coluna2\", \"ano_coluna2\", \"tamanho_amostra\", \"estatistica_ks\", \"p_valor\")\n",
+    "output_df = data.frame(matrix(ncol = length(colunas), nrow = 0))\n",
+    "            \n",
+    "# Separa os anos em amostras\n",
+    "ANO <- df[\"ANO_CENSO\"]\n",
+    "\n",
+    "for(ano in sort(unique(df$ANO_CENSO))){\n",
+    "    for(col1 in names(df)) {\n",
+    "        for(col2 in names(df)) {\n",
+    "\n",
+    "            # Amostra de um ano\n",
+    "            X <- df[col1]\n",
+    "            Xi <- X[ANO == ano]\n",
+    "\n",
+    "            # Amostra do ano seguinte\n",
+    "            Y <- df[col2]\n",
+    "            Yi <- Y[ANO == ano+1]\n",
+    "\n",
+    "            # Remove NaN, outliers e ordena\n",
+    "            data1 <- sort(remove_outliers(na.omit(Xi)))\n",
+    "            data2 <- sort(remove_outliers(na.omit(Yi)))\n",
+    "\n",
+    "            # Pula casos em que não há dados nas amostras\n",
+    "            if(length(data1) == 0 || length(data2) == 0){\n",
+    "                next\n",
+    "            }\n",
+    "            #cat(col1, \"|\", ano, \"|\", col2, \"|\", ano+1, \"|\", sep = \"\")\n",
+    "\n",
+    "            # Distribui as amostras para o tamanho da menor amostra\n",
+    "            tam = min(length(data1), length(data2))\n",
+    "            x_amostra = mono_get_sample(data1, tam)\n",
+    "            y_amostra = mono_get_sample(data2, tam)\n",
+    "\n",
+    "            # Teste KS\n",
+    "            resultado = ks.test(x_amostra, y_amostra)\n",
+    "\n",
+    "            # Concatena resultados no dataframe\n",
+    "            nova_linha = c(col1, ano, col2, ano+1, tam, resultado$statistic, resultado$p.value)\n",
+    "            output_df = rbind(output_df, nova_linha)\n",
+    "            #cat(resultado$statistic, \"|\", resultado$p.value,\"\\n\", sep = \"\")\n",
+    "        }\n",
+    "    }\n",
+    "}\n",
+    "output_csv = \"Result_KS/KS_subsequente.csv\"\n",
+    "colnames(output_df) <- colunas\n",
+    "write.csv(output_df, file = output_csv, row.names = FALSE)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d52a6568-693a-4d59-b050-2f8d6899433e",
+   "metadata": {},
+   "source": [
+    "## Teste KS - Anos acumulados\n",
+    "O mesmo teste anterior, porém com o acumulo da amostra conforme o passar dos anos"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "id": "bd76fa5b-a42c-434a-b3df-83f12f80a262",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Colunas do csv de saida\n",
+    "colunas = c(\"coluna1\", \"ano_coluna1\", \"coluna2\", \"ano_coluna2\", \"tamanho_amostra\", \"estatistica_ks\", \"p_valor\")\n",
+    "output_df = data.frame(matrix(ncol = length(colunas), nrow = 0))\n",
+    "ano_start = min(df$ANO_CENSO)\n",
+    "            \n",
+    "# Separa os anos em amostras\n",
+    "ANO_COLUMN <- df[\"ANO_CENSO\"]\n",
+    "\n",
+    "for(ano in sort(unique(df$ANO_CENSO))){\n",
+    "    for(col1 in names(df)) {\n",
+    "        for(col2 in names(df)) {\n",
+    "\n",
+    "            # Amostra acumulada dos anos\n",
+    "            X <- df[col1]\n",
+    "            Xi <- X[ANO_COLUMN >= ano_start & ANO_COLUMN <= ano]\n",
+    "\n",
+    "            # Amostra do ano seguinte\n",
+    "            Y <- df[col2]\n",
+    "            Yi <- Y[ANO_COLUMN == ano+1]\n",
+    "\n",
+    "            # Remove NaN, outliers e ordena\n",
+    "            data1 <- sort(remove_outliers(na.omit(Xi)))\n",
+    "            data2 <- sort(remove_outliers(na.omit(Yi)))\n",
+    "\n",
+    "            # Pula casos em que não há dados nas amostras\n",
+    "            if(length(data1) == 0 || length(data2) == 0){\n",
+    "                next\n",
+    "            }\n",
+    "            \n",
+    "            # Cria uma amostra bem distribuída\n",
+    "            tam = min(length(data1), length(data2))\n",
+    "            x_amostra = mono_get_sample(data1, tam)\n",
+    "            y_amostra = mono_get_sample(data2, tam)\n",
+    "\n",
+    "            # Teste KS\n",
+    "            resultado = ks.test(x_amostra, y_amostra)\n",
+    "\n",
+    "            # Concatena resultados no dataframe\n",
+    "            nova_linha = c(col1, ano, col2, ano+1, tam, resultado$statistic, resultado$p.value)\n",
+    "            output_df = rbind(output_df, nova_linha)\n",
+    "        }\n",
+    "    }\n",
+    "}\n",
+    "output_csv = \"Result_KS/KS_acumulado.csv\"\n",
+    "colnames(output_df) <- colunas\n",
+    "write.csv(output_df, file = output_csv, row.names = FALSE)"
+   ]
+  }
+ ],
+ "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": "4.4.0"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/Testes_norm/.ipynb_checkpoints/TESTE_T-checkpoint.ipynb b/Testes_norm/.ipynb_checkpoints/TESTE_T-checkpoint.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..e04b15c66e24786509c9c64d105b4a91fc1f0d30
--- /dev/null
+++ b/Testes_norm/.ipynb_checkpoints/TESTE_T-checkpoint.ipynb
@@ -0,0 +1,467 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "b977bf15-ee73-4730-8651-f8a3caffb393",
+   "metadata": {},
+   "source": [
+    "# Analise estatistica com Teste T\n",
+    "Utiliza média, desvio padrão e o tamanho de duas amostras para comparação de similaridade"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "36e8ccea-ef95-4da0-bca9-45bd2fbe5530",
+   "metadata": {},
+   "source": [
+    "## Instalação dos pacotes\n",
+    "Para fazer o jupyter-lab processar R após a instaçação, dentro do ambiente virtual do python e dentro seu client com sudo `sudo R`, instale os pacotes com o comando a seguir."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "57a4780e-976b-4832-b04a-4680e62ccb5a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#install.packages(c('repr', 'IRdisplay', 'evaluate', 'crayon', 'pbdZMQ', 'devtools', 'uuid', 'digest'))\n",
+    "#devtools::install_github('IRkernel/IRkernel')\n",
+    "#IRkernel::installspec()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "ceab7323-0150-4a5c-8b6f-07464f948b9a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<table class=\"dataframe\">\n",
+       "<caption>A data.frame: 6 × 39</caption>\n",
+       "<thead>\n",
+       "\t<tr><th></th><th scope=col>ANO_CENSO</th><th scope=col>NUM_SALAS</th><th scope=col>NUM_SALAS_UTILIZADAS</th><th scope=col>NUM_TV</th><th scope=col>NUM_VIDEOCASSETE</th><th scope=col>NUM_DVD</th><th scope=col>NUM_PARABOLICA</th><th scope=col>NUM_COPIADORA</th><th scope=col>NUM_RETROPROJETOR</th><th scope=col>NUM_IMPRESSORA</th><th scope=col>⋯</th><th scope=col>QTDE_PROF_COORDENADOR</th><th scope=col>QTDE_PROF_FONO</th><th scope=col>QTDE_PROF_NUTRICIONISTA</th><th scope=col>QTDE_PROF_PSICOLOGO</th><th scope=col>QTDE_PROF_ALIMENTACAO</th><th scope=col>QTDE_PROF_PEDAGOGIA</th><th scope=col>QTDE_PROF_SECRETARIO</th><th scope=col>QTDE_PROF_SEGURANCA</th><th scope=col>QTDE_PROF_MONITORES</th><th scope=col>QT_PROF_ADMIN</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;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;int&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;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></tr>\n",
+       "</thead>\n",
+       "<tbody>\n",
+       "\t<tr><th scope=row>1</th><td>2013</td><td> 8</td><td> 8</td><td>3</td><td>0</td><td>1</td><td>1</td><td>0</td><td>1</td><td>4</td><td>⋯</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td></tr>\n",
+       "\t<tr><th scope=row>2</th><td>2013</td><td> 5</td><td> 5</td><td>6</td><td>1</td><td>5</td><td>0</td><td>1</td><td>1</td><td>3</td><td>⋯</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td></tr>\n",
+       "\t<tr><th scope=row>3</th><td>2013</td><td> 8</td><td> 8</td><td>3</td><td>1</td><td>2</td><td>0</td><td>1</td><td>2</td><td>5</td><td>⋯</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td></tr>\n",
+       "\t<tr><th scope=row>4</th><td>2013</td><td>10</td><td>10</td><td>4</td><td>0</td><td>2</td><td>0</td><td>1</td><td>0</td><td>5</td><td>⋯</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td></tr>\n",
+       "\t<tr><th scope=row>5</th><td>2013</td><td>12</td><td>12</td><td>6</td><td>1</td><td>2</td><td>2</td><td>2</td><td>2</td><td>7</td><td>⋯</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td></tr>\n",
+       "\t<tr><th scope=row>6</th><td>2013</td><td> 4</td><td> 4</td><td>1</td><td>1</td><td>1</td><td>0</td><td>1</td><td>1</td><td>1</td><td>⋯</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td></tr>\n",
+       "</tbody>\n",
+       "</table>\n"
+      ],
+      "text/latex": [
+       "A data.frame: 6 × 39\n",
+       "\\begin{tabular}{r|lllllllllllllllllllll}\n",
+       "  & ANO\\_CENSO & NUM\\_SALAS & NUM\\_SALAS\\_UTILIZADAS & NUM\\_TV & NUM\\_VIDEOCASSETE & NUM\\_DVD & NUM\\_PARABOLICA & NUM\\_COPIADORA & NUM\\_RETROPROJETOR & NUM\\_IMPRESSORA & ⋯ & QTDE\\_PROF\\_COORDENADOR & QTDE\\_PROF\\_FONO & QTDE\\_PROF\\_NUTRICIONISTA & QTDE\\_PROF\\_PSICOLOGO & QTDE\\_PROF\\_ALIMENTACAO & QTDE\\_PROF\\_PEDAGOGIA & QTDE\\_PROF\\_SECRETARIO & QTDE\\_PROF\\_SEGURANCA & QTDE\\_PROF\\_MONITORES & QT\\_PROF\\_ADMIN\\\\\n",
+       "  & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & ⋯ & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int>\\\\\n",
+       "\\hline\n",
+       "\t1 & 2013 &  8 &  8 & 3 & 0 & 1 & 1 & 0 & 1 & 4 & ⋯ & NA & NA & NA & NA & NA & NA & NA & NA & NA & NA\\\\\n",
+       "\t2 & 2013 &  5 &  5 & 6 & 1 & 5 & 0 & 1 & 1 & 3 & ⋯ & NA & NA & NA & NA & NA & NA & NA & NA & NA & NA\\\\\n",
+       "\t3 & 2013 &  8 &  8 & 3 & 1 & 2 & 0 & 1 & 2 & 5 & ⋯ & NA & NA & NA & NA & NA & NA & NA & NA & NA & NA\\\\\n",
+       "\t4 & 2013 & 10 & 10 & 4 & 0 & 2 & 0 & 1 & 0 & 5 & ⋯ & NA & NA & NA & NA & NA & NA & NA & NA & NA & NA\\\\\n",
+       "\t5 & 2013 & 12 & 12 & 6 & 1 & 2 & 2 & 2 & 2 & 7 & ⋯ & NA & NA & NA & NA & NA & NA & NA & NA & NA & NA\\\\\n",
+       "\t6 & 2013 &  4 &  4 & 1 & 1 & 1 & 0 & 1 & 1 & 1 & ⋯ & NA & NA & NA & NA & NA & NA & NA & NA & NA & NA\\\\\n",
+       "\\end{tabular}\n"
+      ],
+      "text/markdown": [
+       "\n",
+       "A data.frame: 6 × 39\n",
+       "\n",
+       "| <!--/--> | ANO_CENSO &lt;int&gt; | NUM_SALAS &lt;int&gt; | NUM_SALAS_UTILIZADAS &lt;int&gt; | NUM_TV &lt;int&gt; | NUM_VIDEOCASSETE &lt;int&gt; | NUM_DVD &lt;int&gt; | NUM_PARABOLICA &lt;int&gt; | NUM_COPIADORA &lt;int&gt; | NUM_RETROPROJETOR &lt;int&gt; | NUM_IMPRESSORA &lt;int&gt; | ⋯ ⋯ | QTDE_PROF_COORDENADOR &lt;int&gt; | QTDE_PROF_FONO &lt;int&gt; | QTDE_PROF_NUTRICIONISTA &lt;int&gt; | QTDE_PROF_PSICOLOGO &lt;int&gt; | QTDE_PROF_ALIMENTACAO &lt;int&gt; | QTDE_PROF_PEDAGOGIA &lt;int&gt; | QTDE_PROF_SECRETARIO &lt;int&gt; | QTDE_PROF_SEGURANCA &lt;int&gt; | QTDE_PROF_MONITORES &lt;int&gt; | QT_PROF_ADMIN &lt;int&gt; |\n",
+       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
+       "| 1 | 2013 |  8 |  8 | 3 | 0 | 1 | 1 | 0 | 1 | 4 | ⋯ | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |\n",
+       "| 2 | 2013 |  5 |  5 | 6 | 1 | 5 | 0 | 1 | 1 | 3 | ⋯ | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |\n",
+       "| 3 | 2013 |  8 |  8 | 3 | 1 | 2 | 0 | 1 | 2 | 5 | ⋯ | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |\n",
+       "| 4 | 2013 | 10 | 10 | 4 | 0 | 2 | 0 | 1 | 0 | 5 | ⋯ | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |\n",
+       "| 5 | 2013 | 12 | 12 | 6 | 1 | 2 | 2 | 2 | 2 | 7 | ⋯ | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |\n",
+       "| 6 | 2013 |  4 |  4 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | ⋯ | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |\n",
+       "\n"
+      ],
+      "text/plain": [
+       "  ANO_CENSO NUM_SALAS NUM_SALAS_UTILIZADAS NUM_TV NUM_VIDEOCASSETE NUM_DVD\n",
+       "1 2013       8         8                   3      0                1      \n",
+       "2 2013       5         5                   6      1                5      \n",
+       "3 2013       8         8                   3      1                2      \n",
+       "4 2013      10        10                   4      0                2      \n",
+       "5 2013      12        12                   6      1                2      \n",
+       "6 2013       4         4                   1      1                1      \n",
+       "  NUM_PARABOLICA NUM_COPIADORA NUM_RETROPROJETOR NUM_IMPRESSORA ⋯\n",
+       "1 1              0             1                 4              ⋯\n",
+       "2 0              1             1                 3              ⋯\n",
+       "3 0              1             2                 5              ⋯\n",
+       "4 0              1             0                 5              ⋯\n",
+       "5 2              2             2                 7              ⋯\n",
+       "6 0              1             1                 1              ⋯\n",
+       "  QTDE_PROF_COORDENADOR QTDE_PROF_FONO QTDE_PROF_NUTRICIONISTA\n",
+       "1 NA                    NA             NA                     \n",
+       "2 NA                    NA             NA                     \n",
+       "3 NA                    NA             NA                     \n",
+       "4 NA                    NA             NA                     \n",
+       "5 NA                    NA             NA                     \n",
+       "6 NA                    NA             NA                     \n",
+       "  QTDE_PROF_PSICOLOGO QTDE_PROF_ALIMENTACAO QTDE_PROF_PEDAGOGIA\n",
+       "1 NA                  NA                    NA                 \n",
+       "2 NA                  NA                    NA                 \n",
+       "3 NA                  NA                    NA                 \n",
+       "4 NA                  NA                    NA                 \n",
+       "5 NA                  NA                    NA                 \n",
+       "6 NA                  NA                    NA                 \n",
+       "  QTDE_PROF_SECRETARIO QTDE_PROF_SEGURANCA QTDE_PROF_MONITORES QT_PROF_ADMIN\n",
+       "1 NA                   NA                  NA                  NA           \n",
+       "2 NA                   NA                  NA                  NA           \n",
+       "3 NA                   NA                  NA                  NA           \n",
+       "4 NA                   NA                  NA                  NA           \n",
+       "5 NA                   NA                  NA                  NA           \n",
+       "6 NA                   NA                  NA                  NA           "
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Carrega CSV\n",
+    "options(warn = -1)\n",
+    "df = read.csv(\"../dados/escola_integers.csv\", sep=\"|\")\n",
+    "head(df)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2c7eca10-6c0b-427d-be50-c4bf3d224f2d",
+   "metadata": {},
+   "source": [
+    "## Limpeza de Outliers\n",
+    "Para limpar dados que se diferenciam drasticamente do resto do conjunto de dados é utilizado a remoção dos outliers."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "ee18ee6d-1dda-4c65-8347-f3b7e980e83c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Function to remove outliers using the IQR method\n",
+    "remove_outliers <- function(data) {\n",
+    "  # Calculate the interquartile range (IQR)\n",
+    "  Q1 <- quantile(data, 0.25)\n",
+    "  Q3 <- quantile(data, 0.75)\n",
+    "  IQR <- Q3 - Q1\n",
+    "  \n",
+    "  # Define the lower and upper bounds\n",
+    "  lower_bound <- Q1 - 1.5 * IQR\n",
+    "  upper_bound <- Q3 + 1.5 * IQR\n",
+    "  \n",
+    "  # Remove outliers\n",
+    "  cleaned_data <- data[data >= lower_bound & data <= upper_bound]\n",
+    "  \n",
+    "  # Return the cleaned data\n",
+    "  return(cleaned_data)\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7ca6c624-62c0-4fce-b3cd-c47d20c0b85e",
+   "metadata": {},
+   "source": [
+    "## Plot de Grafico\n",
+    "Funções para plot de gráficos"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "4c578156-afa1-4432-acb3-d6a143c0b349",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plot_ecdf <- function(x, x2){\n",
+    "    plot(ecdf(x),\n",
+    "         xlim = range(c(x, x2)), \n",
+    "         col = \"blue\")\n",
+    "    plot(ecdf(x2), \n",
+    "         add = TRUE, \n",
+    "         lty = \"dashed\",\n",
+    "         col = \"red\")\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "69c80406-3d20-408d-8fce-e4a7aea65dd4",
+   "metadata": {},
+   "source": [
+    "## Teste T\n",
+    "Utilizando o teste T é possível analisar se duas amostras de dados pertencem a mesma população de dados.\n",
+    "\n",
+    "Primeiro é selecionado duas amostras que foram agrupadas pelos anos do censo.  \n",
+    "Em seguida é feito uma limpeza dos dados fazendo a retirada dos nulos, outliers e os ordenando.  \n",
+    "Finalmente é executado o teste."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "a9629868-ef70-4073-856b-fa3cee413898",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "\tWelch Two Sample t-test\n",
+      "\n",
+      "data:  data1 and data2\n",
+      "t = -8.7591, df = 230942, p-value < 2.2e-16\n",
+      "alternative hypothesis: true difference in means is not equal to 0\n",
+      "95 percent confidence interval:\n",
+      " -0.02033538 -0.01289876\n",
+      "sample estimates:\n",
+      "mean of x mean of y \n",
+      " 1.286460  1.303077 \n",
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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WRo1y7bQwAAcbJpBAAQCWEHABAJYQcAEAlhBwAQCWEHABAJYQcAEAlhBwAQCWEH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\nQmCC",
+      "text/plain": [
+       "Plot with title “ecdf(x)”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Dados agrupados por ano\n",
+    "ANO <- df[\"ANO_CENSO\"]\n",
+    "\n",
+    "# Amostras\n",
+    "X <- df[\"NUM_DVD\"]\n",
+    "data1 <- X[ANO == 2013]\n",
+    "\n",
+    "Y <- df[\"NUM_DVD\"]\n",
+    "data2 <- Y[ANO == 2014]\n",
+    "\n",
+    "# Remove zeros\n",
+    "data1 <- data1[data1 != 0]\n",
+    "data2 <- data2[data2 != 0]\n",
+    "\n",
+    "# Limpeza dos dados\n",
+    "data1 <- remove_outliers(na.omit(data1))\n",
+    "data2 <- remove_outliers(na.omit(data2))\n",
+    "\n",
+    "# Executa teste KS\n",
+    "print(t.test(data1, data2))\n",
+    "\n",
+    "# Plotagem dos dados\n",
+    "plot_ecdf(data1, data2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b6c8c14d-5101-4201-b172-28e5b17016df",
+   "metadata": {},
+   "source": [
+    "## Teste T - Anos subsequentes\n",
+    "Execução do teste T entre uma coluna de um ano contra todas as colunas dos anos subsequentes para todos os anos do csv."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "9aa86d14-0e60-4945-9d5f-d058b3c45654",
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "ERROR",
+     "evalue": "Error in t.test.default(data1, data2): data are essentially constant\n",
+     "output_type": "error",
+     "traceback": [
+      "Error in t.test.default(data1, data2): data are essentially constant\nTraceback:\n",
+      "1. t.test(data1, data2)",
+      "2. t.test.default(data1, data2)",
+      "3. stop(\"data are essentially constant\")"
+     ]
+    }
+   ],
+   "source": [
+    "# Colunas do csv de saida\n",
+    "colunas = c(\"coluna1\", \"ano_coluna1\", \"coluna2\", \"ano_coluna2\", \"tamanho_amostra1\", \"estatistica_t\", \"p_valor\")\n",
+    "output_df = data.frame(matrix(ncol = length(colunas), nrow = 0));\n",
+    "\n",
+    "# Remove ANO_CENSO das iteracoes\n",
+    "atributos = names(df)\n",
+    "atributos = atributos[atributos != \"ANO_CENSO\"]\n",
+    "            \n",
+    "# Separa os anos em amostras\n",
+    "ANO <- df[\"ANO_CENSO\"]\n",
+    "\n",
+    "for(ano in sort(unique(df$ANO_CENSO))){\n",
+    "    for(col1 in atributos) {\n",
+    "        for(col2 in atributos) {\n",
+    "\n",
+    "            # Amostra de um ano\n",
+    "            X <- df[col1]\n",
+    "            data1 <- X[ANO == ano]\n",
+    "\n",
+    "            # Amostra do ano seguinte\n",
+    "            Y <- df[col2]\n",
+    "            data2 <- Y[ANO == ano+1]\n",
+    "\n",
+    "            # Remove zeros\n",
+    "            data1 <- data1[data1 != 0]\n",
+    "            data2 <- data2[data2 != 0]\n",
+    "\n",
+    "            # Remove NaN, outliers e ordena\n",
+    "            data1 <- remove_outliers(na.omit(data1))\n",
+    "            data2 <- remove_outliers(na.omit(data2))\n",
+    "\n",
+    "            # Pula casos em que não há dados nas amostras\n",
+    "            if(length(data1) == 0 || length(data2) == 0){\n",
+    "                next\n",
+    "            }\n",
+    "\n",
+    "            # Pula casos em que a variancia zera\n",
+    "            if ( (var(data1)==0) && (var(data2)==0) ){\n",
+    "                # Concatena resultados no dataframe\n",
+    "                nova_linha = c(col1, ano, col2, ano+1, length(data1), NaN, NaN)\n",
+    "                output_df = rbind(output_df, nova_linha)\n",
+    "            } else {\n",
+    "                # Ajusta dados em histogramas\n",
+    "                data1 <- hist(data1, breaks=100, PLOT=FALSE)\n",
+    "                data2 <- hist(data2, breaks=100, PLOT=FALSE)\n",
+    "                data1 <- data1$count\n",
+    "                data2 <- data2$count\n",
+    "                \n",
+    "                # Teste T\n",
+    "                resultado = t.test(data1, data2)\n",
+    "\n",
+    "                # Concatena resultados no dataframe\n",
+    "                nova_linha = c(col1, ano, col2, ano+1, length(data1), resultado$statistic, resultado$p.value)\n",
+    "                output_df = rbind(output_df, nova_linha)\n",
+    "            }\n",
+    "        }\n",
+    "    }\n",
+    "}\n",
+    "output_csv = \"Result_T/T_subsequente.csv\"\n",
+    "colnames(output_df) <- colunas\n",
+    "write.csv(output_df, file = output_csv, row.names = FALSE)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d52a6568-693a-4d59-b050-2f8d6899433e",
+   "metadata": {},
+   "source": [
+    "## Teste T - Anos acumulados\n",
+    "O mesmo teste anterior, porém com o acumulo da amostra conforme o passar dos anos"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "bd76fa5b-a42c-434a-b3df-83f12f80a262",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Colunas do csv de saida\n",
+    "colunas = c(\"coluna1\", \"ano_coluna1\", \"coluna2\", \"ano_coluna2\", \"tamanho_amostra1\", \"estatistica_t\", \"p_valor\")\n",
+    "output_df = data.frame(matrix(ncol = length(colunas), nrow = 0))\n",
+    "ano_start = min(df$ANO_CENSO)\n",
+    "\n",
+    "# Remove ANO_CENSO das iteracoes\n",
+    "atributos = names(df)\n",
+    "atributos = atributos[atributos != \"ANO_CENSO\"]\n",
+    "            \n",
+    "# Separa os anos em amostras\n",
+    "ANO_COLUMN <- df[\"ANO_CENSO\"]\n",
+    "\n",
+    "for(ano in sort(unique(df$ANO_CENSO))){\n",
+    "    for(col1 in atributos) {\n",
+    "        for(col2 in atributos) {\n",
+    "\n",
+    "            # Amostra acumulada dos anos\n",
+    "            X <- df[col1]\n",
+    "            data1 <- X[ANO_COLUMN >= ano_start & ANO_COLUMN <= ano]\n",
+    "\n",
+    "            # Amostra do ano seguinte\n",
+    "            Y <- df[col2]\n",
+    "            data2 <- Y[ANO_COLUMN == ano+1]\n",
+    "\n",
+    "            # Remove zeros\n",
+    "            data1 <- data1[data1 != 0]\n",
+    "            data2 <- data2[data2 != 0]\n",
+    "\n",
+    "            # Remove NaN, outliers e ordena\n",
+    "            data1 <- remove_outliers(na.omit(data1))\n",
+    "            data2 <- remove_outliers(na.omit(data2))\n",
+    "\n",
+    "            # Pula casos em que não há dados nas amostras\n",
+    "            if(length(data1) == 0 || length(data2) == 0){\n",
+    "                next\n",
+    "            }\n",
+    "\n",
+    "            # Pula casos em que a variancia zera\n",
+    "            if ( (var(data1)==0) && (var(data2)==0) ){\n",
+    "                # Concatena resultados no dataframe\n",
+    "                nova_linha = c(col1, ano, col2, ano+1, length(data1), NaN, NaN)\n",
+    "                output_df = rbind(output_df, nova_linha)\n",
+    "            } else {\n",
+    "                # Ajusta dados em histogramas\n",
+    "                data1 <- hist(data1, breaks=100, PLOT=FALSE)\n",
+    "                data2 <- hist(data2, breaks=100, PLOT=FALSE)\n",
+    "                data1 <- data1$count\n",
+    "                data2 <- data2$count\n",
+    "                \n",
+    "                # Teste T\n",
+    "                resultado = t.test(data1, data2)\n",
+    "\n",
+    "                # Concatena resultados no dataframe\n",
+    "                nova_linha = c(col1, ano, col2, ano+1, length(data1), resultado$statistic, resultado$p.value)\n",
+    "                output_df = rbind(output_df, nova_linha)\n",
+    "            }\n",
+    "        }\n",
+    "    }\n",
+    "}\n",
+    "output_csv = \"Result_T/T_acumulado.csv\"\n",
+    "colnames(output_df) <- colunas\n",
+    "write.csv(output_df, file = output_csv, row.names = FALSE)"
+   ]
+  }
+ ],
+ "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": "4.4.0"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/Testes_norm/Result_COHEND/.ipynb_checkpoints/COHEND_acumulado-checkpoint.csv b/Testes_norm/Result_COHEND/.ipynb_checkpoints/COHEND_acumulado-checkpoint.csv
new file mode 100644
index 0000000000000000000000000000000000000000..729b423df87094b1436c1676f88795b423a53ba2
--- /dev/null
+++ b/Testes_norm/Result_COHEND/.ipynb_checkpoints/COHEND_acumulado-checkpoint.csv
@@ -0,0 +1,1948 @@
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diff --git a/Testes_norm/Result_F/.ipynb_checkpoints/F_acumulado-checkpoint.csv b/Testes_norm/Result_F/.ipynb_checkpoints/F_acumulado-checkpoint.csv
new file mode 100644
index 0000000000000000000000000000000000000000..6a7597b700bf4dfb8c65ccf55c478994e2b79b3f
--- /dev/null
+++ b/Testes_norm/Result_F/.ipynb_checkpoints/F_acumulado-checkpoint.csv
@@ -0,0 +1,3607 @@
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diff --git a/Testes_norm/Result_F/.ipynb_checkpoints/F_subsequente-checkpoint.csv b/Testes_norm/Result_F/.ipynb_checkpoints/F_subsequente-checkpoint.csv
new file mode 100644
index 0000000000000000000000000000000000000000..8315a03daca1b98cfa327a05f374507b6e660a53
--- /dev/null
+++ b/Testes_norm/Result_F/.ipynb_checkpoints/F_subsequente-checkpoint.csv
@@ -0,0 +1,1833 @@
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+"QTDE_TABLET","2020","NUM_MULTIMIDIA","2021","90","0.0116553266653045","4.59921193119094e-62"
+"QTDE_TABLET","2020","QTDE_SALAS_UTILIZADAS_DENTRO","2021","90","0.0283515530085957","1.79288452914971e-45"
+"QTDE_TABLET","2020","QTDE_SALAS_UTILIZADAS_FORA","2021","90","0.838597497699695","0.398499822289422"
+"QTDE_TABLET","2020","QTDE_SALAS_UTILIZADAS_CLIMATIZADA","2021","90","0.203754701296244","9.52044645023719e-13"
+"QTDE_TABLET","2020","QTDE_SALAS_UTILIZADAS_ACESSIVEIS","2021","90","0.268915452493165","1.71764977423023e-09"
+"QTDE_TABLET","2020","QTDE_LOUSA_DIGITAL","2021","90","0.170921342723578","1.91334596341194e-15"
+"QTDE_TABLET","2020","QTDE_COMPUTADOR_MESA","2021","90","0.0888271680685768","5.69085635562386e-24"
+"QTDE_TABLET","2020","QTDE_COMPUTADOR_PORTATIL","2021","90","0.0851654864679344","3.73565714658713e-26"
+"QTDE_TABLET","2020","QTDE_TABLET","2021","90","1.05929041166758","0.782940885290761"
+"QTDE_TABLET","2020","QTDE_PROF_SERVICOS_GERAIS","2021","90","0.0121248633970612","4.75927724876711e-60"
+"QTDE_TABLET","2020","QTDE_PROF_BIBLIOTECARIO","2021","90","0.0755858853686329","3.85792209586844e-28"
+"QTDE_TABLET","2020","QTDE_PROF_SAUDE","2021","90","3.35569785925163","9.39854705173104e-09"
+"QTDE_TABLET","2020","QTDE_PROF_COORDENADOR","2021","90","0.044116047029685","1.78177009790559e-37"
+"QTDE_TABLET","2020","QTDE_PROF_ALIMENTACAO","2021","90","0.01463749738679","9.11712820690741e-58"
+"QTDE_TABLET","2020","QTDE_PROF_PEDAGOGIA","2021","90","0.0102545231978003","1.7292664899056e-64"
+"QTDE_TABLET","2020","QTDE_PROF_SEGURANCA","2021","90","0.1954426785418","1.3193310654233e-13"
+"QTDE_TABLET","2020","QTDE_PROF_MONITORES","2021","90","0.316046243425788","8.13690223056893e-08"
+"QTDE_TABLET","2020","QT_PROF_ADMIN","2021","90","0.014568151929427","7.42230354360253e-58"
+"QTDE_PROF_SERVICOS_GERAIS","2020","NUM_SALAS_UTILIZADAS","2021","80","2.19170037267269","0.000230677436963811"
+"QTDE_PROF_SERVICOS_GERAIS","2020","NUM_TV","2021","80","0.760267797861679","0.206022786478301"
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+"QTDE_PROF_SERVICOS_GERAIS","2020","QTDE_COMPUTADOR_MESA","2021","80","6.97434166873019","1.24344978758018e-14"
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+"QTDE_PROF_BIBLIOTECARIO","2020","NUM_TV","2021","100","0.143091522666973","1.9042329412103e-19"
+"QTDE_PROF_BIBLIOTECARIO","2020","NUM_DVD","2021","100","0.169903160057912","9.95411972726476e-17"
+"QTDE_PROF_BIBLIOTECARIO","2020","NUM_SOM","2021","100","0.122261462809679","2.34927560950733e-20"
+"QTDE_PROF_BIBLIOTECARIO","2020","NUM_MULTIMIDIA","2021","100","0.172238074748771","1.61327965826147e-16"
+"QTDE_PROF_BIBLIOTECARIO","2020","QTDE_SALAS_UTILIZADAS_DENTRO","2021","100","0.418968686727125","2.11938512491188e-05"
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+"QTDE_PROF_BIBLIOTECARIO","2020","QTDE_SALAS_UTILIZADAS_CLIMATIZADA","2021","100","3.01101105786633","2.66858160458128e-07"
+"QTDE_PROF_BIBLIOTECARIO","2020","QTDE_SALAS_UTILIZADAS_ACESSIVEIS","2021","100","3.97393236051419","9.25175491772734e-11"
+"QTDE_PROF_BIBLIOTECARIO","2020","QTDE_LOUSA_DIGITAL","2021","100","2.52581191840967","6.19346097385787e-06"
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+"QTDE_PROF_BIBLIOTECARIO","2020","QTDE_COMPUTADOR_PORTATIL","2021","100","1.25854382682773","0.254337125213212"
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+"QTDE_PROF_BIBLIOTECARIO","2020","QTDE_PROF_PEDAGOGIA","2021","100","0.15153752303772","1.59701493932813e-18"
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+"QTDE_PROF_BIBLIOTECARIO","2020","QT_PROF_ADMIN","2021","100","0.21528272119918","3.09055513398258e-13"
+"QTDE_PROF_SAUDE","2020","NUM_SALAS_UTILIZADAS","2021","100","0.00886717512633506","5.60207365780759e-74"
+"QTDE_PROF_SAUDE","2020","NUM_TV","2021","100","0.00307588929153291","1.69870562482626e-96"
+"QTDE_PROF_SAUDE","2020","NUM_DVD","2021","100","0.00365223110970752","7.90670728476348e-93"
+"QTDE_PROF_SAUDE","2020","NUM_SOM","2021","100","0.00262812720987448","2.88821606860511e-97"
+"QTDE_PROF_SAUDE","2020","NUM_MULTIMIDIA","2021","100","0.00370242233669565","1.54635695108142e-92"
+"QTDE_PROF_SAUDE","2020","QTDE_SALAS_UTILIZADAS_DENTRO","2021","100","0.00900613308861673","1.19350060571726e-73"
+"QTDE_PROF_SAUDE","2020","QTDE_SALAS_UTILIZADAS_FORA","2021","100","0.266388252868357","2.20207452174562e-10"
+"QTDE_PROF_SAUDE","2020","QTDE_SALAS_UTILIZADAS_CLIMATIZADA","2021","100","0.0647245657671369","6.12235629513016e-33"
+"QTDE_PROF_SAUDE","2020","QTDE_SALAS_UTILIZADAS_ACESSIVEIS","2021","100","0.085423481175961","4.20554749520953e-28"
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+"QTDE_PROF_SAUDE","2020","QTDE_COMPUTADOR_MESA","2021","100","0.0282167716621374","9.97804842609152e-48"
+"QTDE_PROF_SAUDE","2020","QTDE_COMPUTADOR_PORTATIL","2021","100","0.0270536046280943","9.45008493114908e-51"
+"QTDE_PROF_SAUDE","2020","QTDE_TABLET","2021","100","0.336493398583191","1.72918313608773e-07"
+"QTDE_PROF_SAUDE","2020","QTDE_PROF_SERVICOS_GERAIS","2021","100","0.00385157502314329","3.82162467592963e-90"
+"QTDE_PROF_SAUDE","2020","QTDE_PROF_BIBLIOTECARIO","2021","100","0.0240105557196267","3.42919942498324e-53"
+"QTDE_PROF_SAUDE","2020","QTDE_PROF_SAUDE","2021","100","1.06596846798635","0.751251798369385"
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+"QTDE_PROF_SAUDE","2020","QTDE_PROF_ALIMENTACAO","2021","100","0.00464973645393401","1.11481636761004e-87"
+"QTDE_PROF_SAUDE","2020","QTDE_PROF_PEDAGOGIA","2021","100","0.00325744415664626","2.85333088963575e-95"
+"QTDE_PROF_SAUDE","2020","QTDE_PROF_SEGURANCA","2021","100","0.0620841748460667","2.63393517847059e-34"
+"QTDE_PROF_SAUDE","2020","QTDE_PROF_MONITORES","2021","100","0.100395012914708","1.82734956356972e-25"
+"QTDE_PROF_SAUDE","2020","QT_PROF_ADMIN","2021","100","0.00462770822789955","8.83161400662371e-88"
+"QTDE_PROF_COORDENADOR","2020","NUM_SALAS_UTILIZADAS","2021","100","0.60665470350341","0.0136066355368542"
+"QTDE_PROF_COORDENADOR","2020","NUM_TV","2021","100","0.210439365364769","1.47350020036002e-13"
+"QTDE_PROF_COORDENADOR","2020","NUM_DVD","2021","100","0.249870240456309","3.28572580257433e-11"
+"QTDE_PROF_COORDENADOR","2020","NUM_SOM","2021","100","0.179805373251337","1.75034191211155e-14"
+"QTDE_PROF_COORDENADOR","2020","NUM_MULTIMIDIA","2021","100","0.253304112404606","4.95578055047305e-11"
+"QTDE_PROF_COORDENADOR","2020","QTDE_SALAS_UTILIZADAS_DENTRO","2021","100","0.616161620893263","0.0167815203532166"
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+"QTDE_PROF_COORDENADOR","2020","QTDE_SALAS_UTILIZADAS_ACESSIVEIS","2021","100","5.84431410304747","4.44089209850063e-16"
+"QTDE_PROF_COORDENADOR","2020","QTDE_LOUSA_DIGITAL","2021","100","3.71461738077921","2.99225755284738e-10"
+"QTDE_PROF_COORDENADOR","2020","QTDE_COMPUTADOR_MESA","2021","100","1.93047244501558","0.00381437829985165"
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+"QTDE_PROF_COORDENADOR","2020","QTDE_PROF_SEGURANCA","2021","100","4.24753725362154","5.29554178285707e-12"
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+"QTDE_PROF_PEDAGOGIA","2020","QTDE_PROF_PEDAGOGIA","2021","100","0.986510386246426","0.946266394596932"
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+"QTDE_PROF_PEDAGOGIA","2020","QT_PROF_ADMIN","2021","100","1.40149209374051","0.0947113792297873"
+"QTDE_PROF_SEGURANCA","2020","NUM_SALAS_UTILIZADAS","2021","100","0.137992614999508","4.87017418829687e-20"
+"QTDE_PROF_SEGURANCA","2020","NUM_TV","2021","100","0.047867556548761","2.49695142370025e-39"
+"QTDE_PROF_SEGURANCA","2020","NUM_DVD","2021","100","0.0568366942380891","5.37860562854418e-36"
+"QTDE_PROF_SEGURANCA","2020","NUM_SOM","2021","100","0.0408994004375589","3.66759810832672e-40"
+"QTDE_PROF_SEGURANCA","2020","NUM_MULTIMIDIA","2021","100","0.0576177793710032","9.8398849796517e-36"
+"QTDE_PROF_SEGURANCA","2020","QTDE_SALAS_UTILIZADAS_DENTRO","2021","100","0.140155104441416","8.75080927259216e-20"
+"QTDE_PROF_SEGURANCA","2020","QTDE_SALAS_UTILIZADAS_FORA","2021","100","4.1455831304471","1.12267972696145e-11"
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diff --git a/Testes_norm/Result_KS/.ipynb_checkpoints/KS_acumulado-checkpoint.csv b/Testes_norm/Result_KS/.ipynb_checkpoints/KS_acumulado-checkpoint.csv
new file mode 100644
index 0000000000000000000000000000000000000000..dd9e994bd23a99660020c9e34feb3b8a0269e31e
--- /dev/null
+++ b/Testes_norm/Result_KS/.ipynb_checkpoints/KS_acumulado-checkpoint.csv
@@ -0,0 +1,3607 @@
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diff --git a/Testes_norm/Result_KS/.ipynb_checkpoints/KS_subsequente-checkpoint.csv b/Testes_norm/Result_KS/.ipynb_checkpoints/KS_subsequente-checkpoint.csv
new file mode 100644
index 0000000000000000000000000000000000000000..25bec17d1936d1f6e6b068cf05abe12a1b46c407
--- /dev/null
+++ b/Testes_norm/Result_KS/.ipynb_checkpoints/KS_subsequente-checkpoint.csv
@@ -0,0 +1,1822 @@
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diff --git a/Testes_norm/Result_T/.ipynb_checkpoints/T_subsequente-checkpoint.csv b/Testes_norm/Result_T/.ipynb_checkpoints/T_subsequente-checkpoint.csv
new file mode 100644
index 0000000000000000000000000000000000000000..621c06ba97e6eae1eee20118b242486c04b7f587
--- /dev/null
+++ b/Testes_norm/Result_T/.ipynb_checkpoints/T_subsequente-checkpoint.csv
@@ -0,0 +1,2717 @@
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+"QTDE_PROF_SECRETARIO","2020","QTDE_COMPUTADOR_PORTATIL","2021","180043","159.759728231761","0"
+"QTDE_PROF_SECRETARIO","2020","QTDE_TABLET","2021","180043","456.967998344978","0"
+"QTDE_PROF_SECRETARIO","2020","QTDE_PROF_SERVICOS_GERAIS","2021","180043","-358.901780328918","0"
+"QTDE_PROF_SECRETARIO","2020","QTDE_PROF_BIBLIOTECARIO","2021","180043","456.967998344978","0"
+"QTDE_PROF_SECRETARIO","2020","QTDE_PROF_SAUDE","2021","180043","456.967998344978","0"
+"QTDE_PROF_SECRETARIO","2020","QTDE_PROF_COORDENADOR","2021","180043","140.136679444001","0"
+"QTDE_PROF_SECRETARIO","2020","QTDE_PROF_FONO","2021","180043","456.967998344978","0"
+"QTDE_PROF_SECRETARIO","2020","QTDE_PROF_NUTRICIONISTA","2021","180043","456.967998344978","0"
+"QTDE_PROF_SECRETARIO","2020","QTDE_PROF_PSICOLOGO","2021","180043","456.967998344978","0"
+"QTDE_PROF_SECRETARIO","2020","QTDE_PROF_ALIMENTACAO","2021","180043","-189.266522722784","0"
+"QTDE_PROF_SECRETARIO","2020","QTDE_PROF_PEDAGOGIA","2021","180043","-146.675401976763","0"
+"QTDE_PROF_SECRETARIO","2020","QTDE_PROF_SECRETARIO","2021","180043","3.70117984374246","0.000214631366665134"
+"QTDE_PROF_SECRETARIO","2020","QTDE_PROF_SEGURANCA","2021","180043","456.967998344978","0"
+"QTDE_PROF_SECRETARIO","2020","QTDE_PROF_MONITORES","2021","180043","456.967998344978","0"
+"QTDE_PROF_SECRETARIO","2020","QT_PROF_ADMIN","2021","180043","-153.865365150506","0"
+"QTDE_PROF_SEGURANCA","2020","NUM_SALAS_UTILIZADAS","2021","151540","-665.023277177714","0"
+"QTDE_PROF_SEGURANCA","2020","NUM_TV","2021","151540","-441.672046336803","0"
+"QTDE_PROF_SEGURANCA","2020","NUM_DVD","2021","151540","-352.323296184456","0"
+"QTDE_PROF_SEGURANCA","2020","NUM_SOM","2021","151540","-403.460584525643","0"
+"QTDE_PROF_SEGURANCA","2020","NUM_MULTIMIDIA","2021","151540","-342.138294846737","0"
+"QTDE_PROF_SEGURANCA","2020","QTDE_SALAS_UTILIZADAS_DENTRO","2021","151540","-653.597228559917","0"
+"QTDE_PROF_SEGURANCA","2020","QTDE_SALAS_UTILIZADAS_FORA","2021","151540","NaN","NaN"
+"QTDE_PROF_SEGURANCA","2020","QTDE_SALAS_UTILIZADAS_CLIMATIZADA","2021","151540","-214.921748015101","0"
+"QTDE_PROF_SEGURANCA","2020","QTDE_SALAS_UTILIZADAS_ACESSIVEIS","2021","151540","-146.448005647219","0"
+"QTDE_PROF_SEGURANCA","2020","QTDE_LOUSA_DIGITAL","2021","151540","NaN","NaN"
+"QTDE_PROF_SEGURANCA","2020","QTDE_COMPUTADOR_MESA","2021","151540","-223.616666433269","0"
+"QTDE_PROF_SEGURANCA","2020","QTDE_COMPUTADOR_PORTATIL","2021","151540","-184.397079529021","0"
+"QTDE_PROF_SEGURANCA","2020","QTDE_TABLET","2021","151540","NaN","NaN"
+"QTDE_PROF_SEGURANCA","2020","QTDE_PROF_SERVICOS_GERAIS","2021","151540","-481.930538307514","0"
+"QTDE_PROF_SEGURANCA","2020","QTDE_PROF_BIBLIOTECARIO","2021","151540","NaN","NaN"
+"QTDE_PROF_SEGURANCA","2020","QTDE_PROF_SAUDE","2021","151540","NaN","NaN"
+"QTDE_PROF_SEGURANCA","2020","QTDE_PROF_COORDENADOR","2021","151540","-220.205463420938","0"
+"QTDE_PROF_SEGURANCA","2020","QTDE_PROF_FONO","2021","151540","NaN","NaN"
+"QTDE_PROF_SEGURANCA","2020","QTDE_PROF_NUTRICIONISTA","2021","151540","NaN","NaN"
+"QTDE_PROF_SEGURANCA","2020","QTDE_PROF_PSICOLOGO","2021","151540","NaN","NaN"
+"QTDE_PROF_SEGURANCA","2020","QTDE_PROF_ALIMENTACAO","2021","151540","-390.835834379317","0"
+"QTDE_PROF_SEGURANCA","2020","QTDE_PROF_PEDAGOGIA","2021","151540","-378.1467230821","0"
+"QTDE_PROF_SEGURANCA","2020","QTDE_PROF_SECRETARIO","2021","151540","-448.302455767821","0"
+"QTDE_PROF_SEGURANCA","2020","QTDE_PROF_SEGURANCA","2021","151540","NaN","NaN"
+"QTDE_PROF_SEGURANCA","2020","QTDE_PROF_MONITORES","2021","151540","NaN","NaN"
+"QTDE_PROF_SEGURANCA","2020","QT_PROF_ADMIN","2021","151540","-354.629760200819","0"
+"QTDE_PROF_MONITORES","2020","NUM_SALAS_UTILIZADAS","2021","159068","-665.023277177714","0"
+"QTDE_PROF_MONITORES","2020","NUM_TV","2021","159068","-441.672046336803","0"
+"QTDE_PROF_MONITORES","2020","NUM_DVD","2021","159068","-352.323296184456","0"
+"QTDE_PROF_MONITORES","2020","NUM_SOM","2021","159068","-403.460584525643","0"
+"QTDE_PROF_MONITORES","2020","NUM_MULTIMIDIA","2021","159068","-342.138294846737","0"
+"QTDE_PROF_MONITORES","2020","QTDE_SALAS_UTILIZADAS_DENTRO","2021","159068","-653.597228559917","0"
+"QTDE_PROF_MONITORES","2020","QTDE_SALAS_UTILIZADAS_FORA","2021","159068","NaN","NaN"
+"QTDE_PROF_MONITORES","2020","QTDE_SALAS_UTILIZADAS_CLIMATIZADA","2021","159068","-214.921748015101","0"
+"QTDE_PROF_MONITORES","2020","QTDE_SALAS_UTILIZADAS_ACESSIVEIS","2021","159068","-146.448005647219","0"
+"QTDE_PROF_MONITORES","2020","QTDE_LOUSA_DIGITAL","2021","159068","NaN","NaN"
+"QTDE_PROF_MONITORES","2020","QTDE_COMPUTADOR_MESA","2021","159068","-223.616666433269","0"
+"QTDE_PROF_MONITORES","2020","QTDE_COMPUTADOR_PORTATIL","2021","159068","-184.397079529021","0"
+"QTDE_PROF_MONITORES","2020","QTDE_TABLET","2021","159068","NaN","NaN"
+"QTDE_PROF_MONITORES","2020","QTDE_PROF_SERVICOS_GERAIS","2021","159068","-481.930538307514","0"
+"QTDE_PROF_MONITORES","2020","QTDE_PROF_BIBLIOTECARIO","2021","159068","NaN","NaN"
+"QTDE_PROF_MONITORES","2020","QTDE_PROF_SAUDE","2021","159068","NaN","NaN"
+"QTDE_PROF_MONITORES","2020","QTDE_PROF_COORDENADOR","2021","159068","-220.205463420938","0"
+"QTDE_PROF_MONITORES","2020","QTDE_PROF_FONO","2021","159068","NaN","NaN"
+"QTDE_PROF_MONITORES","2020","QTDE_PROF_NUTRICIONISTA","2021","159068","NaN","NaN"
+"QTDE_PROF_MONITORES","2020","QTDE_PROF_PSICOLOGO","2021","159068","NaN","NaN"
+"QTDE_PROF_MONITORES","2020","QTDE_PROF_ALIMENTACAO","2021","159068","-390.835834379317","0"
+"QTDE_PROF_MONITORES","2020","QTDE_PROF_PEDAGOGIA","2021","159068","-378.1467230821","0"
+"QTDE_PROF_MONITORES","2020","QTDE_PROF_SECRETARIO","2021","159068","-448.302455767821","0"
+"QTDE_PROF_MONITORES","2020","QTDE_PROF_SEGURANCA","2021","159068","NaN","NaN"
+"QTDE_PROF_MONITORES","2020","QTDE_PROF_MONITORES","2021","159068","NaN","NaN"
+"QTDE_PROF_MONITORES","2020","QT_PROF_ADMIN","2021","159068","-354.629760200819","0"
+"QT_PROF_ADMIN","2020","NUM_SALAS_UTILIZADAS","2021","171933","-548.838035876971","0"
+"QT_PROF_ADMIN","2020","NUM_TV","2021","171933","-105.296228670899","0"
+"QT_PROF_ADMIN","2020","NUM_DVD","2021","171933","31.0499719250289","2.26202568954525e-211"
+"QT_PROF_ADMIN","2020","NUM_SOM","2021","171933","-112.175468091979","0"
+"QT_PROF_ADMIN","2020","NUM_MULTIMIDIA","2021","171933","39.2258940477591","0"
+"QT_PROF_ADMIN","2020","QTDE_SALAS_UTILIZADAS_DENTRO","2021","171933","-531.243730290281","0"
+"QT_PROF_ADMIN","2020","QTDE_SALAS_UTILIZADAS_FORA","2021","171933","351.014596779139","0"
+"QT_PROF_ADMIN","2020","QTDE_SALAS_UTILIZADAS_CLIMATIZADA","2021","171933","-49.7735461201919","0"
+"QT_PROF_ADMIN","2020","QTDE_SALAS_UTILIZADAS_ACESSIVEIS","2021","171933","147.928103840973","0"
+"QT_PROF_ADMIN","2020","QTDE_LOUSA_DIGITAL","2021","171933","351.014596779139","0"
+"QT_PROF_ADMIN","2020","QTDE_COMPUTADOR_MESA","2021","171933","-108.066507215959","0"
+"QT_PROF_ADMIN","2020","QTDE_COMPUTADOR_PORTATIL","2021","171933","236.407788430411","0"
+"QT_PROF_ADMIN","2020","QTDE_TABLET","2021","171933","351.014596779139","0"
+"QT_PROF_ADMIN","2020","QTDE_PROF_SERVICOS_GERAIS","2021","171933","-236.6030505923","0"
+"QT_PROF_ADMIN","2020","QTDE_PROF_BIBLIOTECARIO","2021","171933","351.014596779139","0"
+"QT_PROF_ADMIN","2020","QTDE_PROF_SAUDE","2021","171933","351.014596779139","0"
+"QT_PROF_ADMIN","2020","QTDE_PROF_COORDENADOR","2021","171933","225.039845800752","0"
+"QT_PROF_ADMIN","2020","QTDE_PROF_FONO","2021","171933","351.014596779139","0"
+"QT_PROF_ADMIN","2020","QTDE_PROF_NUTRICIONISTA","2021","171933","351.014596779139","0"
+"QT_PROF_ADMIN","2020","QTDE_PROF_PSICOLOGO","2021","171933","351.014596779139","0"
+"QT_PROF_ADMIN","2020","QTDE_PROF_ALIMENTACAO","2021","171933","-33.592755114153","5.35376665772106e-247"
+"QT_PROF_ADMIN","2020","QTDE_PROF_PEDAGOGIA","2021","171933","13.2683533876797","3.6148424215038e-40"
+"QT_PROF_ADMIN","2020","QTDE_PROF_SECRETARIO","2021","171933","150.183484685549","0"
+"QT_PROF_ADMIN","2020","QTDE_PROF_SEGURANCA","2021","171933","351.014596779139","0"
+"QT_PROF_ADMIN","2020","QTDE_PROF_MONITORES","2021","171933","351.014596779139","0"
+"QT_PROF_ADMIN","2020","QT_PROF_ADMIN","2021","171933","-5.3330040311057","9.66621283905269e-08"
diff --git a/Testes_norm/TESTE_COHEND.ipynb b/Testes_norm/TESTE_COHEND.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..94d1e5c46266b64c1bcb0c5f586bedfaf253d00a
--- /dev/null
+++ b/Testes_norm/TESTE_COHEND.ipynb
@@ -0,0 +1,423 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "b977bf15-ee73-4730-8651-f8a3caffb393",
+   "metadata": {},
+   "source": [
+    "# Analise estatistica com Teste CohenD\n",
+    "Teste de effect size"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "ceab7323-0150-4a5c-8b6f-07464f948b9a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<table class=\"dataframe\">\n",
+       "<caption>A data.frame: 6 × 39</caption>\n",
+       "<thead>\n",
+       "\t<tr><th></th><th scope=col>ANO_CENSO</th><th scope=col>NUM_SALAS</th><th scope=col>NUM_SALAS_UTILIZADAS</th><th scope=col>NUM_TV</th><th scope=col>NUM_VIDEOCASSETE</th><th scope=col>NUM_DVD</th><th scope=col>NUM_PARABOLICA</th><th scope=col>NUM_COPIADORA</th><th scope=col>NUM_RETROPROJETOR</th><th scope=col>NUM_IMPRESSORA</th><th scope=col>⋯</th><th scope=col>QTDE_PROF_COORDENADOR</th><th scope=col>QTDE_PROF_FONO</th><th scope=col>QTDE_PROF_NUTRICIONISTA</th><th scope=col>QTDE_PROF_PSICOLOGO</th><th scope=col>QTDE_PROF_ALIMENTACAO</th><th scope=col>QTDE_PROF_PEDAGOGIA</th><th scope=col>QTDE_PROF_SECRETARIO</th><th scope=col>QTDE_PROF_SEGURANCA</th><th scope=col>QTDE_PROF_MONITORES</th><th scope=col>QT_PROF_ADMIN</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;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;int&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;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></tr>\n",
+       "</thead>\n",
+       "<tbody>\n",
+       "\t<tr><th scope=row>1</th><td>2013</td><td> 8</td><td> 8</td><td>3</td><td>0</td><td>1</td><td>1</td><td>0</td><td>1</td><td>4</td><td>⋯</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td></tr>\n",
+       "\t<tr><th scope=row>2</th><td>2013</td><td> 5</td><td> 5</td><td>6</td><td>1</td><td>5</td><td>0</td><td>1</td><td>1</td><td>3</td><td>⋯</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td></tr>\n",
+       "\t<tr><th scope=row>3</th><td>2013</td><td> 8</td><td> 8</td><td>3</td><td>1</td><td>2</td><td>0</td><td>1</td><td>2</td><td>5</td><td>⋯</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td></tr>\n",
+       "\t<tr><th scope=row>4</th><td>2013</td><td>10</td><td>10</td><td>4</td><td>0</td><td>2</td><td>0</td><td>1</td><td>0</td><td>5</td><td>⋯</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td></tr>\n",
+       "\t<tr><th scope=row>5</th><td>2013</td><td>12</td><td>12</td><td>6</td><td>1</td><td>2</td><td>2</td><td>2</td><td>2</td><td>7</td><td>⋯</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td></tr>\n",
+       "\t<tr><th scope=row>6</th><td>2013</td><td> 4</td><td> 4</td><td>1</td><td>1</td><td>1</td><td>0</td><td>1</td><td>1</td><td>1</td><td>⋯</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td></tr>\n",
+       "</tbody>\n",
+       "</table>\n"
+      ],
+      "text/latex": [
+       "A data.frame: 6 × 39\n",
+       "\\begin{tabular}{r|lllllllllllllllllllll}\n",
+       "  & ANO\\_CENSO & NUM\\_SALAS & NUM\\_SALAS\\_UTILIZADAS & NUM\\_TV & NUM\\_VIDEOCASSETE & NUM\\_DVD & NUM\\_PARABOLICA & NUM\\_COPIADORA & NUM\\_RETROPROJETOR & NUM\\_IMPRESSORA & ⋯ & QTDE\\_PROF\\_COORDENADOR & QTDE\\_PROF\\_FONO & QTDE\\_PROF\\_NUTRICIONISTA & QTDE\\_PROF\\_PSICOLOGO & QTDE\\_PROF\\_ALIMENTACAO & QTDE\\_PROF\\_PEDAGOGIA & QTDE\\_PROF\\_SECRETARIO & QTDE\\_PROF\\_SEGURANCA & QTDE\\_PROF\\_MONITORES & QT\\_PROF\\_ADMIN\\\\\n",
+       "  & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & ⋯ & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int>\\\\\n",
+       "\\hline\n",
+       "\t1 & 2013 &  8 &  8 & 3 & 0 & 1 & 1 & 0 & 1 & 4 & ⋯ & NA & NA & NA & NA & NA & NA & NA & NA & NA & NA\\\\\n",
+       "\t2 & 2013 &  5 &  5 & 6 & 1 & 5 & 0 & 1 & 1 & 3 & ⋯ & NA & NA & NA & NA & NA & NA & NA & NA & NA & NA\\\\\n",
+       "\t3 & 2013 &  8 &  8 & 3 & 1 & 2 & 0 & 1 & 2 & 5 & ⋯ & NA & NA & NA & NA & NA & NA & NA & NA & NA & NA\\\\\n",
+       "\t4 & 2013 & 10 & 10 & 4 & 0 & 2 & 0 & 1 & 0 & 5 & ⋯ & NA & NA & NA & NA & NA & NA & NA & NA & NA & NA\\\\\n",
+       "\t5 & 2013 & 12 & 12 & 6 & 1 & 2 & 2 & 2 & 2 & 7 & ⋯ & NA & NA & NA & NA & NA & NA & NA & NA & NA & NA\\\\\n",
+       "\t6 & 2013 &  4 &  4 & 1 & 1 & 1 & 0 & 1 & 1 & 1 & ⋯ & NA & NA & NA & NA & NA & NA & NA & NA & NA & NA\\\\\n",
+       "\\end{tabular}\n"
+      ],
+      "text/markdown": [
+       "\n",
+       "A data.frame: 6 × 39\n",
+       "\n",
+       "| <!--/--> | ANO_CENSO &lt;int&gt; | NUM_SALAS &lt;int&gt; | NUM_SALAS_UTILIZADAS &lt;int&gt; | NUM_TV &lt;int&gt; | NUM_VIDEOCASSETE &lt;int&gt; | NUM_DVD &lt;int&gt; | NUM_PARABOLICA &lt;int&gt; | NUM_COPIADORA &lt;int&gt; | NUM_RETROPROJETOR &lt;int&gt; | NUM_IMPRESSORA &lt;int&gt; | ⋯ ⋯ | QTDE_PROF_COORDENADOR &lt;int&gt; | QTDE_PROF_FONO &lt;int&gt; | QTDE_PROF_NUTRICIONISTA &lt;int&gt; | QTDE_PROF_PSICOLOGO &lt;int&gt; | QTDE_PROF_ALIMENTACAO &lt;int&gt; | QTDE_PROF_PEDAGOGIA &lt;int&gt; | QTDE_PROF_SECRETARIO &lt;int&gt; | QTDE_PROF_SEGURANCA &lt;int&gt; | QTDE_PROF_MONITORES &lt;int&gt; | QT_PROF_ADMIN &lt;int&gt; |\n",
+       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
+       "| 1 | 2013 |  8 |  8 | 3 | 0 | 1 | 1 | 0 | 1 | 4 | ⋯ | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |\n",
+       "| 2 | 2013 |  5 |  5 | 6 | 1 | 5 | 0 | 1 | 1 | 3 | ⋯ | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |\n",
+       "| 3 | 2013 |  8 |  8 | 3 | 1 | 2 | 0 | 1 | 2 | 5 | ⋯ | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |\n",
+       "| 4 | 2013 | 10 | 10 | 4 | 0 | 2 | 0 | 1 | 0 | 5 | ⋯ | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |\n",
+       "| 5 | 2013 | 12 | 12 | 6 | 1 | 2 | 2 | 2 | 2 | 7 | ⋯ | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |\n",
+       "| 6 | 2013 |  4 |  4 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | ⋯ | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |\n",
+       "\n"
+      ],
+      "text/plain": [
+       "  ANO_CENSO NUM_SALAS NUM_SALAS_UTILIZADAS NUM_TV NUM_VIDEOCASSETE NUM_DVD\n",
+       "1 2013       8         8                   3      0                1      \n",
+       "2 2013       5         5                   6      1                5      \n",
+       "3 2013       8         8                   3      1                2      \n",
+       "4 2013      10        10                   4      0                2      \n",
+       "5 2013      12        12                   6      1                2      \n",
+       "6 2013       4         4                   1      1                1      \n",
+       "  NUM_PARABOLICA NUM_COPIADORA NUM_RETROPROJETOR NUM_IMPRESSORA ⋯\n",
+       "1 1              0             1                 4              ⋯\n",
+       "2 0              1             1                 3              ⋯\n",
+       "3 0              1             2                 5              ⋯\n",
+       "4 0              1             0                 5              ⋯\n",
+       "5 2              2             2                 7              ⋯\n",
+       "6 0              1             1                 1              ⋯\n",
+       "  QTDE_PROF_COORDENADOR QTDE_PROF_FONO QTDE_PROF_NUTRICIONISTA\n",
+       "1 NA                    NA             NA                     \n",
+       "2 NA                    NA             NA                     \n",
+       "3 NA                    NA             NA                     \n",
+       "4 NA                    NA             NA                     \n",
+       "5 NA                    NA             NA                     \n",
+       "6 NA                    NA             NA                     \n",
+       "  QTDE_PROF_PSICOLOGO QTDE_PROF_ALIMENTACAO QTDE_PROF_PEDAGOGIA\n",
+       "1 NA                  NA                    NA                 \n",
+       "2 NA                  NA                    NA                 \n",
+       "3 NA                  NA                    NA                 \n",
+       "4 NA                  NA                    NA                 \n",
+       "5 NA                  NA                    NA                 \n",
+       "6 NA                  NA                    NA                 \n",
+       "  QTDE_PROF_SECRETARIO QTDE_PROF_SEGURANCA QTDE_PROF_MONITORES QT_PROF_ADMIN\n",
+       "1 NA                   NA                  NA                  NA           \n",
+       "2 NA                   NA                  NA                  NA           \n",
+       "3 NA                   NA                  NA                  NA           \n",
+       "4 NA                   NA                  NA                  NA           \n",
+       "5 NA                   NA                  NA                  NA           \n",
+       "6 NA                   NA                  NA                  NA           "
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Carrega CSV\n",
+    "options(warn = -1)\n",
+    "library(effsize)\n",
+    "df = read.csv(\"../dados/escola_integers.csv\", sep=\"|\")\n",
+    "head(df)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2c7eca10-6c0b-427d-be50-c4bf3d224f2d",
+   "metadata": {},
+   "source": [
+    "## Limpeza de Outliers\n",
+    "Para limpar dados que se diferenciam drasticamente do resto do conjunto de dados é utilizado a remoção dos outliers."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "ee18ee6d-1dda-4c65-8347-f3b7e980e83c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Function to remove outliers using the IQR method\n",
+    "remove_outliers <- function(data) {\n",
+    "  # Calculate the interquartile range (IQR)\n",
+    "  Q1 <- quantile(data, 0.25)\n",
+    "  Q3 <- quantile(data, 0.75)\n",
+    "  IQR <- Q3 - Q1\n",
+    "  \n",
+    "  # Define the lower and upper bounds\n",
+    "  lower_bound <- Q1 - 1.5 * IQR\n",
+    "  upper_bound <- Q3 + 1.5 * IQR\n",
+    "  \n",
+    "  # Remove outliers\n",
+    "  cleaned_data <- data[data >= lower_bound & data <= upper_bound]\n",
+    "  \n",
+    "  # Return the cleaned data\n",
+    "  return(cleaned_data)\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7ca6c624-62c0-4fce-b3cd-c47d20c0b85e",
+   "metadata": {},
+   "source": [
+    "## Plot de Grafico\n",
+    "Funções para plot de gráficos"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "4c578156-afa1-4432-acb3-d6a143c0b349",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plot_ecdf <- function(x, x2){\n",
+    "    plot(ecdf(x),\n",
+    "         xlim = range(c(x, x2)), \n",
+    "         col = \"blue\")\n",
+    "    plot(ecdf(x2), \n",
+    "         add = TRUE, \n",
+    "         lty = \"dashed\",\n",
+    "         col = \"red\")\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "69c80406-3d20-408d-8fce-e4a7aea65dd4",
+   "metadata": {},
+   "source": [
+    "## Teste Cohen D\n",
+    "Utilizando testes de effect size é possivel determinar a magnitude da relação entre duas amostras\n",
+    "\n",
+    "Primeiro é selecionado duas amostras que foram agrupadas pelos anos do censo.  \n",
+    "Em seguida é feito uma limpeza dos dados fazendo a retirada dos nulos, outliers e os ordenando.  \n",
+    "Finalmente é executado o teste."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "a9629868-ef70-4073-856b-fa3cee413898",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "Cohen's d\n",
+      "\n",
+      "d estimate: -0.03455845 (negligible)\n",
+      "95 percent confidence interval:\n",
+      "      lower       upper \n",
+      "-0.04102476 -0.02809214 \n",
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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KMR7AAAqXB2llWr5M03xdU1+WCFCrJhg9SooV1bAFLFGjsAQOq8vGTGDJk0SQ4f\nTnpZbJ48WvcEIFUEOwDQN1WVq1clZ04xZdw9GA8PqVw5w84OwGG4FQsAevXPP9Kkifj4SFCQ\neHtLw4ayebPWPQHQFMEOAHRp2TKpVUvWrpWoKBGRmBj580+pX18WLtS6MwDaIdgBgP5EREiP\nHuKfcG28vL9J6vwrebZKzckyONB2qU8fuXJF6/4AaIQ1dgCgP7/8IvnC96+RJoFyNfFIbrlU\nQ7Z1l69bRK1cvLja229r2yAAbRDsAEB/jh2I/0na3k11dwVI+E/StuWXx44c8XL4RcuUkbfe\ncvhZATgSt2IBQH9KnfmtsJxKsZRbLjWNXJoRF83AXbcAHIQZOwDQnwrWnWlU3/D4Js8XXcVs\nFhFRVfnqKwkPTy77+EivXk9SLVxepIljvwgAxyLYAYD+FMsfl0Y16M5RiYwUPz8Rkfh4Wbgw\naetsIjc36dDhSaoXL0oTgh2QpRHsAEB/XEsUSqNqGtA/KZmJiJubbNiQ6tCnqQLIelgxAQA6\n1KbNfe9vvZeTk7Rrl7ndAMgqCHYAoEP58snHH6dcGjZMQkIytxsAWQXBDgD0aeBA+eYbyZMn\n+UhgoHz5pYwYoV1PADTGGjsA0K1XX5UuXeTMGTl9WoKDpVChpN2sAJ5VBDsA0DOTSQoXlsKF\nte4DQJbArVgAAACDINgBAAAYBMEOAADAIAh2AAAABkGwAwAAMAiCHQAAgEEQ7AAAAAyC59gB\nQIbYu1eWL5ewMPHxkbJlpWNHyZFD654AGB3BDgAcTFVlyBD55JP7Do4cKQsWSIsWGvUE4NnA\nrVgAcLCpUx9MdSJy65a0aydHjmjREIBnBjN2AOBIVqt8/LGISIgcayUrSsiRKPE6IGWXSOid\nOJ+JE+WbbzTuEICBEewAwJEOHpSbN2WEjPpIxpjFdvf4OPmgvSxeu7bB7t2Ov6irq5Qu7fjT\nAtAdgh0AONKtW9JXvhwpIx84nkOur5BW5S/vq1y5iMMv6uYmFy9KtmwOPzEAnWGNHQA4UlBO\n2wgZlWLJU6In+E1QVXH4r9hYUh0AEWbsAMCxilsPiVxNrfq8dbVYLOLikvT5+nU5fz65bDJJ\nqVJPUvX0lOLFHfUVAOgXwQ4AHOrmzTSKPlH/yvffy2uvJX3u1UuWLbtvxPz5T1J1cpIrV5i1\nA0CwAwCHypUrrWqRIsnJTESWLJGoqOSPiiJ+fk9SdXERT88n7xmAURDsAMChSjSJB7kAACAA\nSURBVJSQ4GA5ezbl6gNPKHZ2Fn//VE/1NFUAzyQ2TwCAQymKTJqUcilHDnnvvcztBsCzhWAH\nAI728ssyb554ed13sHhxWbdOgoI06gnAM4FbsQCQAbp3l9atZd06OXJEPDykfHlp0EDMZq3b\nAmBwBDsAyBgBARIaqnUTAJ4t3IoFAAAwCJ0HOzX2+ol9uw9djLRq3QkAAIDWdBTsLOfWTBvc\nvW3Ltr0nrDmfIJJw7ucBNQrmCalQuUx+f7+Czw9dcS5B6x4BAAC0o5c1drF7Pnmh2dC/rtlU\nEVm5cvOVH6d6DOv4+dGAii1frZQj+shfq9dPerlx1G9/f/68v6J1swCytlu35IcfZN8+iYmR\nEiWkVSspWVLrngDAEfQR7Oxn5w0asSGuQv8f5r5b0/3w12++OrptS8W57JA/Vo+rk80kItFh\nM19p0P+rEfMGNBhUlH1nAFL1xx/SocN97/0aNkw++EDGjNGuJwBwEF3cilVvrF+5PT5/18kT\nQsvnzxPS9INp/cqoCV4th36QmOpExLNUr49eLWLbu27jTVXbZgFkYcePS+vWD77N1W6XsWNl\n5kyNegIAx9FFsLPfvHrdZi5QrJBL4mdzwZDCzuagwgU97hnkFFw02Gy7ef2mXZMeAejBxIkS\nE5P0s7MkeEvk3dLo0WKzadMVADiKLm7FmrIF5jDbjp44bZH8biJiO3v8TIL9yplzsVLR+79B\ntvOnz9tM+bMH6CKrAtDEn3+KImovmfOGfFFCjjhLwnnJv0xaj5SR1675L1kixYo5+IqKIqVK\niaurg08LACnSRbBTsjdsUd117bdDP2o4f2B117B573y+TzUpKyZN3l5/VHU/RURij341Zv5x\nc4XudbKzdwJAaiLC1e+kSydZePdIfjnfX6a3kJW1ZEvHjrky4qLffCOvvpoRJwaAB+ki2Ikp\nuMfkET81/WBK65KfiIjiUqzvkq/cP2o7tkHZdS2aVMwRc2T9rxtOxhXq9U2PYuycAJCq1z2+\n73Rn4cPHC8up6dI//99LHD5jZzKJr6+DzwkAqdFHsBNxrzTk9x2lZkxftPHonRy1eg8f0iJY\nyn4b/cpbX/381XZVUdxy1+4/b97EpgHM1wFIXV+nuamVXpKfTYVvKv7ZMrMfAHAsvQQ7EXEr\n1GLQ1BaDkg8Ubv/lzpbDjxw+b8lWtETBAFcyHYBHKBgTllrJLDb5dIqMG5f0ee9emTXrvhHV\nqkm3bk9S7dNHKlR4ys4BID10FOxSongGlawSpHUXAPTClPbuqoR7Xl9js8nt22K/Z5+9xfIk\nVZOJ3bYAMo3Ogx0APJaSJWXTppRLZrO8917yx8qVZfHiVM/zNFUAyDCGCXbWXRNb9l58o0if\n77/v/RivnoiIiPjwww+tVmsaY44cOfL0/QHIEnr0SDXYvfiiZM+eud0AgIMZ5qFvatTFsP37\n9h27Eqt1JwCysM6dJTQ0hePBwTJ9eqZ3AwAOZpgZO6fy/RatbW3xKlTosbKqv7//zEe9SGj2\n7NmbN29+muYAZBUmkyxaJLVqyRdfyIkTYrNJYKC0aSNjxjBdB8AADBPsFL9iNRs4+gFUAAzI\nZJJ+/aRfP4mNlZgYycbzTQAYhz6DnTXm1q3bkdEWk5u3b4C/lzMPOgHw+Nzdxd1d6yYAwJH0\ntMbOdnPPojE9m1UMDvDyDsiRO39wcN5c2Xw8/fKWbdR12NfbLlsefQoAAADj0suMnRq+ZWy7\ndqM3XLUp7jkKl6pRKZe/l6vZFh9969qFk0c2LBi3fuEXcwYuWTHx+ZxM3wEAgGeTPoKdGrFy\nUMdRG23VBnz76eDQKrnd7g9vCTcO/Drz/Xc+ntLl7aoHF7bLQbQDAADPIl3cilVv/f71j5dy\ndJzz66ddqz6Y6kTEOXvZl0b8uPjtYjdXfLc6QtWiRQAAAM3pItjZr52/GGcu/lxl3zTm4twr\nVq/glnD53+v21McAAAAYmC6CnSln/rxutqP/7Lmdxmxc/MFdB+Odc+XOrouvBAAA4HC6SEGK\nX7NubYOuf9+r9ZDvd197ePOrLeLIrx+Hhn5y2L9Fp6YBrLADAADPJn1snlD8X5iycNipth9P\n6VTls95BIaVCCuTy93J1sluib109f+Lw0Qu3ExTfym8vnvYym2IBAMCzSh/BTkQJqDPqz7Dm\nC2d8sWDZn//s2XA4IemurOLsHVSsVse+HXu/1aV2HldtuwQAANCQXoKdiIhTzudeHf3cq6NF\nTYiKiLgdFWM1uXn5ZQvgzRMAAACir2B3l+LsFZDTK0DrNgAAALIUXWyeAAAAwKMR7AAAAAxC\nl7diARhVZKTMmyfbt8v58xIcLLVry2uviYeH1m0BgE4Q7ABkFUePSrNmcvZs0se//5bFi2X6\ndFm9WoKDNewLAHSDW7EAsgSLRV58MTnV3XXsmLz0kthsGrQEALpDsAOQJfz8sxw/nnJp715Z\nsyZzuwEAfeJWLIAsYevW5J9dJT6fXDgv+S3iknhk3jyJjnb8RUuUkNKlHX9aANAKwQ5AlhAV\nJSLSRNaMluEVZY+TWBPE+R+pOkw+3ih1V66Uv/5y/EXbtJF58xx/WgDQCsEOQJaQL5/0lLlz\npNfdI86SUFO2rpeGnWVB5Y/bDxyoYXcAoA8EOwBZQmiNi4VlwMPHzWKbJX1u1m4kkj3zuwIA\nfWHzBIAsoXTYD+4Sm2LJV24X2v9LJvcDAHrEjB2ArOHIkbSq06bJq6+Ki4uISFSUvPGGxMUl\nV728ZNasJ6nWqiX9+zv0awCAlgh2ALIGszmtqpdX8gAnJwkMlDt3kqsBAU9Yzc7tXQCGQrAD\nkDWULZtW9c03k8OZm5tMnpzqyKepAoDOscYOQNbwyivi55dyKTBQWrfO3G4AQJcIdgCyhuzZ\nZf78pJVw93J3lwULxNtbi54AQGcIdgCyjNatZccOeeklyZVLRCRPHgkNlV27pFEjrTsDAH1g\njR2ArKR8efnpJxGR+HhxddW6GwDQGWbsAGRJpDoAeHwEOwAAAIMg2AEAABgEwQ4AAMAgCHYA\nAAAGQbADAAAwCIIdAACAQRDsAAAADIJgBwAAYBAEOwAAAIPglWIA0mv/flm1So4cEV9fKV9e\nQkPF21vrngAA9yDYAXg0VZWBA2XqVFHV5IMffSRLl0rNmtq1BQC4H7diATzahAny2Wf3pToR\nuXxZWrSQixc16gkA8BCCHYBHiI2V8eNTLt2+LVOmZG43AIDUcSsWwCPs3CmRkalWV66Uzp0d\nf1FvbylWzPGnBQBjI9gBeITw8LSqJ05I5cqOv6ibm4SHi7u7488MAAZGsAPwCLlyiYi4Svwb\n8kULWVlCjtwSv31Sfoa8tV2qV6gg69c7/qJubqQ6AHhsBDsAj1C5shTLeWvBtcZVZGfikdxy\nqaQcfkV+GCSf+LR8299f2wYBAEkIdgAewclJVhXuV/jazgeOm8U2RQZG16omUk2TxgAAD2BX\nLIBHuX698D+LUqyYxO79zeeZ3A4AIDXM2AF4lL17xWZLtfrHH3LpkuTOnfRx1So5eDC5ajJJ\np05PUvX1ld69RVEc9B0A4JlAsAPwKPHxaVVv35bTp5PD2dq1smVLctVkkurVn6Tq4yOvvSZu\nbo74AgDwrCDYAXiUwoXTqtaqJbVqJX+cOjWtwU9TBQA8CmvsADxKyZJSvnyq1Y4dM7EVAEBa\nCHYA0mH2bPHwSOF4w4by2muZ3QwAIBUEOwDpULWqbN4s1asnH3F3l4ED5ddfxWzWri0AwH1Y\nYwcgfSpWlG3bJDxcDh8WPz8JCRFnZ617AgDch2AH4HEEBNy3VQIAkJVwKxYAAMAgCHYAAAAG\nQbADAAAwCIIdAACAQRDsAAAADIJgBwAAYBAEOwAAAIMg2AEAABgEwQ4AAMAgCHYAAAAGQbAD\nAAAwCIIdAACAQRDsAAAADIJgBwAAYBAEOwAAAIMg2AEAABgEwQ4AAMAgCHYAAAAGQbADAAAw\nCIIdAACAQThp3QAAB7BaZcMGOXBA4uKkZElp2FC8vbXuCQCQ6Qh2gO7t2SMdOsjx48lHAgJk\n9mxp1067ngAAWiDYAfp27pw8/7yEh993MDxcOnQQHx9p3FijtgAAWmCNHaBvY8c+mOoSWa0y\neHCmdwMA0BQzdoC+rVyZaunAAQkLk9y5HXxFs1l8fBx8TgCAQxDsAB1TVbl6Na0BpUtnyHV/\n/lnatMmQMwMAngbBDtAxRRF/f7l5M9UBy5ZJ3ryOv2iZMg4+JwDAIQh2gL41aCBLlyb9nE8u\nuEncaSlkE7OIBAdLq1aiKFq2BwDITGyeAPTtgw/E1yV2ggwNl4Dzkv+4FIsSr4XSKUgujxxJ\nqgOAZwszdoC+lS8Rf6pIk2yHN9894iZxHeX7lr6bvBtuF3H0jVgAQBbGjB2gc9On35vq7vK+\nfVHeeSfz2wEAaIhgB+jc//6Xamn5crl9OxNbAQBojFuxgJ6p6n2vEntAQoKMGycTJyZ9XLtW\nPvlEVDV5QKtW0q/fY1fNZhk7VipXdtzXAAA4BsEO0DNFEbM5rQEFCiT/HBgoFSveVy1U6Emq\niiIBAU/ULgAgYxHsAJ0rX162b0+55OUl3bsnfyxXTsqVS/U8T1MFAGQNrLEDdK5v31RLr70m\nbm6Z2AoAQGMEO0DnOne+b1rurmrVZNy4TO8GAKAlgh2gc4oi8+bJwoVSt674+4uHh1SqJBMm\nyIYN4u2tdXMAgEzFGjvAEDp2lI4dtW4CAKAxZuwAAAAMQmczdtY7ty3evh6Jr7+0RZzYvnXH\n/hMRXoXKVq5WrVSgq8bdAQAAaEk3M3b265snt6+Yt2j/9RYRkYTTS/pUKVSiTssub73b/7XW\n9coUKvniJ9sj1EedBgAAwLB0MmOXcOiTNi2GbrMVaNw1r1kkfvfHL782Z79zybZDe7Yol9N2\nccePX8z+9b3W3XLs/PnV/LoJqwAAAI6kj2AXs+6zT7fHl373j02T6/gpErN25pf77OU/WLdl\nTBUPERHp0L3HC/2rN581buauThOr6uNLAQAAOJYuZrdsFw4cCjdX6NK7pp8iIraLh8IizOU7\ndK3ocXeI4l//rW4VlLPbt/9r165RAAAADeki2Jm8fbwUsdtsiR8VN3d3RXF2dlbuHaS4e7gr\naoLFwjo7AADwbNJFsFMC6zQoLfu+m73ltioipjx1G5SU/atWX7hncs56Ztkvu23+xUvmTvON\n6AAAAIali2An5pJ9xnbLf3x6yxqvjP5+07Hwov2mDy6+c+iLPWdtPHkz+s6lg6smd2j+/saE\n0j37NvDUulkAAABt6GSfgZKt2fQ1C53avzF7ZKelIxSzq6e3izUy6uu+9b5OfAG6Yg6o1HfB\nD8OrumvcKQAAgFZ0EuxExLVw6My/G/b+7ftFv27cHXbi/LXb3v6Ki7uXf66CJSrVbdWpa+uK\nOfTzbQAAABxOX1HInK3si/3KvthP6z4AAACyIH2ssQMAAMAj6WvGLi22uMjoeNXk5uXlSloF\nAADPIsMEu4TNg0s1mnG59Mjdu0eUTf8TT86cOfPcc89ZrdY0xsTHx4uIqvKAPAAAkKUZJtg9\noQIFCixZsiTtYPfbb79NmzZNUZQ0xgAAAGjOMMHOud70s5apIibTY92INZlM9erVS3vMqVOn\nnqIxPOsOHpQJE2THDrlwQYoUkTp1ZNgwyZtX67YAAEZkmGAnophMvHQCWcyyZdK+vcTHJ308\nfFgOH5YlS2TtWqlUSdPOAABGpL9gZ4k4e+TQ0TNXIyKjLSY3b7/A4JBSJQvncONGKbKaK1ek\na9fkVHdXeLi0by9hYeLiokVbAADj0lGwS7i86cuRo2b8sPHkbdt9+xgUs1e+59r0GTby7eaF\nePEEso7vvpPIyJRLJ0/K2rXywguZ2xAAwOj0Euziw75o83z/1VdM/iG124ZWLF4gl7+Xq9kW\nH33r2oUT+7dv2LxgWMvf105Ys2pwRbIdsoh9+9KqTpokW7Y4/qJ160qzZo4/LQBAF/QR7Oxn\n5vYbsiaqfL+fl0xondKsnOXyhkldQkeO6PfFi5sGFmOpHbKEhIS0qv/+K7t3O/6iQUEEOwB4\nduki2KlX1y7fFl+k/4zJrQulvCjJJajeB3M/WFN86O/rr75bLDfr7ZAVhISkVR09Wjp1yqxW\nAADPBl28pMEeeTvSbsqVNyitGGrKlS+PixoVGWXPtL6ANHXoIOZUpo/9/aVFi8ztBgDwDNBF\nsDPnLV0qm233Tz8et6Q6xn55+ZJNcT7FQnJzIxZZRMmSMmJE0s8msWeXG4k/m80ya5b4+WnW\nGADAqHQR7MSjUf9+ldXNQ+vV6/XpT9uOX4u13S3Z48PP7Prty4HNanRbGlGy1xuNvTTsE3jA\nRx/J2vf/+tu9/h3xuS45IsR/g1/rrbMOhoZq3RkAwIh0scZOxKXcez//GNXp9SlfDWw3d6Ci\nOLn5+Hi5Otkt0ZF3Yix2VRSn7FXeWrB4RDX2xCJLmTv3+Ul9xZb0TxE/uVX31nLpt0YK/iYN\nG2rbGgDAeHQS7ETMuZuNW3+k+18//bD8zx0Hjp69disqxmryzxlctkBImar1W4a+/HxxX33M\nP+KZcfas9O9/N9Uli4uTrl3lxAnx8NCiLQCAYekm2ImImHyKNOw2rGE3rfsA0mfBAomLS7l0\n6ZKsWiXt2mVuQwAAg9NVsAP0JSwsrerUqdK2rSiKiMjt2zJs2H0PvvP1lYkTn6Rat6507OjQ\nrwEA0A1uXgIZRlUfo+qoj2lfFABgaMzYARmmdGn54YdUq++8kzTlJiK+vjJzZqojn6YKAHiW\nMGMHZJhOncTVNeUSb/4CAGQAgh2QYQoWlOnTUzju5ib/+594emZ6QwAAgyPYARmpVy9Zt07q\n1BF3dxERHx954QXZsUMaNdK6MwCAAbHGDshgDRtKw4Zit8v16xIYqHU3AAAjY8YOyBQmE6kO\nAJDRCHYAAAAGQbADAAAwCIIdAACAQRDsAAAADIJgBwAAYBAEOwAAAIMg2AEAABgEwQ4AAMAg\nCHYAAAAGQbADAAAwCIIdAACAQRDsAAAADIJgBwAAYBBO6Rhjizy/d8vmXccuXLly9WaM2SdH\nYFCegqWq1aleIqebkuEdAgAAIF3SCnbxl7YvmTVz7qJVO05FWNQHq4rJI1fZ+i+92ufN15qV\n8DNnYI8AAABIh5Rvxdpu7JjVs3pwoZo95xzyqtltxJdL1u08fOritduxlvjo8CvnThzYuvLb\nKe+2Lnpn9YjWZQqUfOH9H8LuPBT9AAAAkIkenrFTb6wf/lLnGVcqdfvwxzmvNCmT3fmBAf6B\n+f0D8xcpU6N5l7dFjTm/bdl3cz9/u/qSxVN++7FnCabuAAAAtJFCsIuOCXz1p8NdagS5pOP3\nKx75a3YcVrND/6HLZ/0daRch2AEAAGjj4WBnKtDyrR6PexrFu3jrwcUd0hEAAACeSNqPO7Gd\nWjJpzj837SlXY04uGz5o3lFbBrQFAACAx/WI59hFH/n+rdrlGn+w/FTsfccTLv016eWKFV4a\nv+6iJQO7AwAAQLqlHezMJXtNG9/G558JL1Ws2nXmjpt2EbGH75rTs1rpRkN/uR7SY+bct0qz\nqg4AACAreMSMnVNQ3YGL9+xf8WGtqKX9apdt9Pao/g1K1+jz9ck87af8Gfb33F5VsvHuCgAA\ngCwhPW+ecCv4wqjfqtcaUKfljGkj/xJzUJu5Gxd1L+qa4c0BAAAg/dIz32a7+c+s1xu/MvOI\n5GvQsXUpz6vLB4b2+eLvG+yaAAAAyEIeEezUyLDv36lfutYb354r0mve3/vXLfxl195fhla+\n8f1btUvXHbDgIO+bAAAAyCIe8biTQ591fm3aHt8XJ647uO3LbuX9FBG3Qq0+XrN/6xedcx2a\n0bVai6knmLiD3t25Izb+OwYA6N8jN0/UG/zjnj1LB9cLunc1nimgcp/5O/at+LC+X3xchvYH\nZJxLl6RHD8mTR3x9xctLqlWTJUu07gkAgKeQ9uYJc4men32cWtE1uMXoX5sk2HjcCfTo+HGp\nU0euXk36GBcnO3bIK6/Inj0yYYKmnQEA8KQenrFTo69fj07vyjnFyfm/aJhw/VoEC+6gG926\nJae6e02cKBs3Zno3AAA4wsPBzn7xm7alavX6/M9zsenMadab+xYPe7FM5aHbeAsF9CEsTLZt\nS7U6d24mtgIAgOM8fCvWHPLuz4s9B/dtW3R4YL22nTq90qphtdJ5vR+64arG3TixZ9Pqn75f\nsHjVfrVyn8mrPm7Oo+2gD2FhaVVXr5bevR1/UX9/GT9eFMXxZwYAIFFKa+zM2au9Mf+fl/os\nnjl1+sxeXw9PMHnlLlGuZHCu7NkCfF1tURE3b17/9/iBg6cjLIpX4YZdBi/9rnvzEB/+fwXd\nUNOcjbbZJCLC8Rd1dnb8OQEAuFeqmyeccz3XZcyiLsMu71n/+9p169dv3nVg046rNyMtJnf/\nHLlyFyrTdvCARo2aNq5V1I/dE9CbkiXTqjZrJt9/n1mtAADgOI96pZhbUMUW3Su26D408aMt\nwWpydmJuDjpXpoxUrSr//JNytUePzO0GAAAHSc8rxe5hJtXBIObPl2zZUjg+YIA0bJjp3QAA\n4AiPmrETEZGE2+ePHbt4O+HhdUmKZ/7y5fN5OLwtIKOVLCl79sj778vq1RIXHpPg5F6ipDJw\noHTtqnVnAAA8qUcFO/XW9k86vvLh6guWFFebO5UbuXv3iLKssoMe5Xe9utB7hPiskYhz4uYp\nPuXFZ6BIa637AgDgCT0i2Fl3T379g9WXfCq0f71dtfw+D402Za+a5zHv5gJZw6lTUqeOXLqU\n9DEqSrZskS1b5MMPZcwYTTsDAOAJpR3s7Oc3bzypBvdesmFmQ+9M6gjIHN26Jae6e40dK40b\nS+3amd4QAABPK+3pNtu1y9fsrpXqVifVwViOHJHNm1Ot8uoJAIA+pT1jZ84ZlNOUcPbUOZuU\nYB0dDOTgwbSqv/8uZ89KcHDSx88/l0OHkqtmswwZ8iTV7Nll7FhePQEAyDhpz9iZCnYZ1qPQ\noSlvjt96w55JHQGZwJ7mf89Wq8THJ3+MiLjvV3j4E1bDwx/xygsAAJ5O2jN26s1TEcVeahYw\ndXjdIt9UrVm5eIEcnvfN3JnzNB8ypFlu9k9AZ9J+9UTTphISkvxx+PC0Bj9NFQAAh3rE5olL\nqycNHr/fKiKxp7avOrX9od9eLnv3wc1yZ1R3QAYpW1YqVZLdu1OuduuWud0AAOAYj1hjV/Ld\nP869nvIj7ERERHHxycniO+jS/PlSt65ERDx4vG9fadxYi4YAAHhaKQQ7W+zt27Hi4evrZhYn\n7xy52RELQypTRnbtkvfekzVrJDJSTCYJCZF33+VNsQAA/Xp4dZwtbFLdwFzPTz1hu+dY1PVL\nl65HWjOxMSDjFSokS5fK7dty4YLcuSOHD8vrr7NrFQCgX+na9mA/M+vF4ALPf3rY9uixgN4o\niuTNK56eWvcBAMDTYj8rAACAQRDsAAAADIJgBwAAYBAEOwAAAIMg2AEAABhEKg8oVuOunzl+\nTEmKffZz12NF4m+cPXbM9f7HEStu2YMLZHPJ4CYBAADwaKkEO+vBT5uX/PSBgzNeLDXjwd9e\nbuTu3SPK8vIJAAAAzT0c7BSfYnVavJAvfY+sMxcs5sPjXAEAALKCh4OdKbjD9GUdNGgFAAAA\nT4PNEwAAAAZBsAMAADAIgh0AAIBBEOwAAAAMgmAHAABgEAQ7AAAAgyDYAQAAGATBDgAAwCAI\ndgAAAAZBsAMAADAIgh0AAIBBEOwAAAAMgmAHAABgEAQ7AAAAgyDYAQAAGATBDgAAwCCctG4A\nSJndLjt2yMGDYrNJyZJSo4Y4O2vdEwAAWRvBDlnR3r3SubMcPpx8JDhY5s+XevU0awkAgKyP\nW7HIck6floYN70t1InL2rDRvLrt3a9QTAAB6QLBDljNihEREpHA8NlaGDMn0bgAA0A/dBztL\nxMXTpy/dsWrdBxxnxYpUSxs3yp07mdgKAAC6ovdgZzs6/YWQEp3+d9mudSdwjMjItKKbzSa+\nvqIoDv7l5CR//ZWJXxIAgIyhi80TdktsXIJdTalki7XYRWzxMdHR0SYRxezi7uasZHaDcBxP\nT3F2loSEVAcsWSL+/g6+qNksNWs6+JwAAGQ+PQQ7684Py9WcfMKWxpBBxX0GiYg4lRu5e/eI\nsuZM6gyOZzJJ7dry558pV4sXl5dfztyGAADQDz0EO3ORF7rUXzhm/SWrc1D5OuUC7+1ZjTy5\nfftpp+J1quZ3ExFzoSLezNfp3bBhqQa7jz7K3FYAANAVPQQ7JVudj1bvrftpr27DV/4bV3LY\n/LFti7gn1WwHRlWqNM6/7/9WvpVP7+sFkaRBA5kzR/r1k/j45INms4waJR07atcWAABZnh6C\nnYiIOWedwb/sbjinf9fBr1Ra13XKN5/1qODL3Jxh9ewpDRvKwoVy6JBYrVKqlISGSunSWrcF\nAEDWppdgJyKi+FXs/b8ddZoOebVfn5obfxv59eyBdbNr3RQySqE88R9VXCcuh8RqlZIlpWBj\nEU+tmwIAIEvTU7ATERHPEh1nbq7RbGS3nh8+X37VuzPeVlLcLQud27xZOnWSCxeSj2TPLvPm\nSatW2vUEAEBWp8t1aa7BL4z/Y+/aUZXPTX355SmH09ouCz06fFiaNbsv1YnIjRvSrp1s2aJR\nTwAA6IAug52IiFOueu8v3715Zu9WzVq0qB7szno7AxkxQqKjUziekCBDh2Z6NwAA6IbubsXe\nyxRQpe+MH/tq3QYcSlXl999TrW7bJjdvSrZsyYNv3bpvgI+PmM2PXTWbxcfnqVsHAEBjup2x\ng1FFRaU8XZdIVWXAgOSP48dLQMB9v56s6usrf/yRAV8GAIBMpesZu3vZTv489svNkUFNB77b\nJCj9cdVut2/atMlqtaYx5siRI0/fH9LL01NcXe97hN0DRo1K/nnAAGnSl1SrhwAAIABJREFU\n5L5q4cJPUjWbpUyZJ+0YAICswjDBzn7xr3nTZlwu7df1nSZB6f9t586dCw0NTTvYxcfHi4iq\nsv02U5hMUr++rF6dcrVs2fvCmaenVKqU6qmepgoAgA4ZJtiZgpv2H+YXlbNO4GNtoyhYsOC1\na9fSHjN79uw+ffooCvszMsvw4bJ+vSQkpFAaPTrTuwEAQDcME+zMwS0GjWqhdRdwiOrVZcEC\n6dFDoqKSD7q6yqefyosvatcWAABZnWGCHYwlNFTq1ZOlS+XgQbHZpGRJadtW8ufXui0AALI0\nXQU7NfrslmU//PLH3/uPnrkaERltMbl5+wUGh5St2qBlaLuGxXzY42skOXPKm29q3QQAAHqi\nm2Bnv/LHqK49Jq67EK+KKGYXdw8PV7Pt2qUzxw7u2vjrwhmj3q/21uxFk1oXcNa6UwAAAG3o\nZI7LcmBi6zZj/oor323iog2H/r0dGxd9JyI84k50XOydK0e3/jztrTque6Z1aD1mZ6zWrQIA\nAGhEHzN2MeumTd8lNcf/tW5wKdf7KoqzV2BIjTYhNV58qUq7St1mzVg35NuWXhq1CQAAoCVd\nzNjZLh4Ku2mu2C60hGuqY0x523as53b72JFLtkzsDAAAIOvQRbAzeft6m+xXL11JK7PZb1y+\nmqB4eXvp4isBAAA4nC5SkBLY+MUaridn9R/629m4FEdYr26Z3HvcFlOFJg0e7wHFAAAAhqGP\nNXamgj2nj/+t0TuftQpZUKpuwzoVixfI5e/l6mS3RN+6ev7EgW3r/9zzb7x/7Y8/fzPErHWz\nAAAA2tBHsBNxLd1vxc4S04ePnvnj+sWH/rjvta2KyTNv1Y5jPhj5bssiHlo1CAAAoDW9BDsR\nccnXaND8RgO/vHH68KGjZ6/dioqxmty8/AIL/L+9u4+vue4fOP7+nnN267AN22zGXJjJFlrk\nLnKThCTd7CqF7BeWi1KURJe7iq7oUoni6kZUiEquVERym/vQ0OauuRkL2+zs/tz8/uCyjVmt\nzs5353Nez7/0/Zxt7x7Hjtc+3+93p0lMTFSIH2dgAQCAh3OjsLtE863dKK5zozi95wAAAKhq\n3OLmCQAAAPw+wg4AAEARhB0AAIAiCDsAAABFEHYAAACKIOwAAAAUQdgBAAAogrADAABQBGEH\nAACgCMIOAABAEYQdAACAIgg7AAAARRB2AAAAiiDsAAAAFEHYAQAAKIKwAwAAUARhBwAAoAjC\nDgAAQBGEHQAAgCIIOwAAAEUQdgAAAIog7AAAABRh0nsAuKVz5+Snn+T0aWnSRJo3F39/vQcC\nAACEHSoqP1/GjJF586So6PKRWrVk2jQZMkTXsQAAAGGHinrwQVmxotSR8+dl6FApKJARI3Sa\nCQAAiAjX2KFCVq26uuquGDdOLlxw7TQAAKA0wg4VsHz5dZcsFlm92oWjAACAa3AqFhVw4kR5\nqwkJMny487/oP/4hU6c6/9MCAKAewg4VYDaXt9q/v/To4fwvetNNzv+cAAAoibBDBXToIJ9/\nft3VESOkZUsXTgMAAErjGjtUQEKC1K5d9lKPHlQdAAA6I+xQAUFBsmKFBAdffbxVK1m0SI+B\nAABACZyKRcW0by9JSTJvnuzcKadPS+PG0q2bDBggXl56TwYAgMcj7FBhwcEyfrzeQwAAgGsQ\ndqi4tDR5+23Zvv3ym8V27SqDB4uvr95jAQDg6Qg7VNCGDdKvX/G7TOzbJ8uWydtvy+rVEhqq\n62QAAHg6bp5ARZw/X6rqrti3Tx5+WI+BAABAMcIOFfHuu9d9R9i1a2X3btdOAwAASuFULCpi\n69byVhcskLi4y38uLJSVK8VuL16tVUu6dv0zq82bS3S0M6YHAEBxhB0qIienvNUvv5TXX7/8\n59RUGTdObLbi1fDw4nSr0OqgQfLPfzpjegAAFEfYoSIiI8tbfeWV4j83bizJydd95F9ZBQAA\n18E1dqiI+++/7lL16nLHHS4cBQAAXI2wQ0X06HHdtpsxQwIDXTsNAAAohbBDBS1aJKNHi49P\n8ZHQUFmwQIYO1W8mAAAgwjV2qDAfH5kxQ154Qfbtk9OnJSpKYmPF21vvsQAAAGGHPycgQDp2\n1HsIAABQCqdiAQAAFEHYAQAAKIKwAwAAUARhBwAAoAjCDgAAQBGEHQAAgCIIOwAAAEUQdgAA\nAIog7AAAABRB2AEAACiCsAMAAFAEYQcAAKAIwg4AAEARhB0AAIAiCDsAAABFEHYAAACKIOwA\nAAAUQdgBAAAowqT3AHC+tDRJTpaQEImKEhPPMAAAHoMdO6WsWyexsRIeLp07S7NmUquWTJki\nVqveYwEAAJcg7NTx3/9Kjx6SlFR85OJFmThRBg7UbyYAAOBChJ0iCgpk2LCyN+c++URWrXL5\nQAAAwOUIO0Vs2CCnT193dfFiF44CAAB0wqX1ijhypLzVzz+XVq2c/0Xr1pUVK5z/aQEAwJ9D\n2CnC17e81dBQeeAB53/RunWd/zkBAMCfRtgpovwNuXvvlbFjXTUKAADQCdfYKSI2Vrp2LXvJ\nx0cSE107DQAA0ANhp46FCyU6+uqDPj7ywQfSsKEeAwEAANfiVKw6wsNl50554w357js5eFDC\nwiQuTp56SmJi9J4MAAC4BGGnFLOf7fnIxc/XXyN5v0idOhIZJ7WHioTqPRcAAHAFwk4hWVnS\np49s3Fh85IsvZNYsWbZMunTRbywAAOAiXGOnkCFDSlXdJRcuSL9+cvasHgMBAACXIuxUceSI\nfPpp2UtZWTJ3rmunAQAAOuBUrCq2bClv9YsvZNw48fEpfvCpU8WrJpP06vVnVkNDpVMnZ0wP\nAACcgLBTRXZ2easHDsjBg9Ky5eX/HDtWkpKKV00mWb36z6xGRsqePc6YHgAAOAFhp4r69ctb\n7devuMxEyrgUr6S/sgoAAPTDNXaq6NJFgoKuu9qvnwtHAQAA+iDsVFGtmsycWfZSt24SH+/a\naQAAgA4IO4UMHiwLFkhwcPERo1ESEuSLL8TAEw0AgPq4xk4tAwfKAw/I3r1y6JCEhUnz5hIW\npvdMAADARdwt7KwXTxw+ZQv+W/1avlfvQRVmnT2XY6geElzd3f6nnMvPT9q2lbZt9Z4DAAC4\nmvucocs79MnI2+oH1oy8oVnDkNDYe19ae8Zecr1o59QO9SO7v3bApteEAAAAunKTsHOcWTbk\njgFvbbxQq/Vd8f06NjKkfPFCn26jvj3v0HsyAACAqsI9ws7601uTl5yq0W3GlqStXy757Ifk\n0z+/Hx+aPGfY2K9IOwAAgEvcIuzsaZs3JUv0sJdHNjdfOuIXPfCdeUManPzwuRk78vUdDgAA\noIpwi7Bz5FhyHMa6kREl7orQAm6fOPXeoENzJnxw3H79DwUAAPAYbhF2hpDwOl7WAzv2WEoe\n1ULjX5rQSdZNGvPJKdIOAADALcJOC+x6V0e/tEWjhn+wP6vETa/GqMTZL7TL+XzE3ydtOMfN\nsAAAwMO5RdiJIWLQqy92CzjyUUKLsPAmbcd8k315wavZk+/Pia+548Vu0S0Tl59h4w4AAHgw\n9wg7EZ8bn1y59YspAzo39Prt0OF065UFr8YDFq5fMbFP+G+Hfs3hDlkAAODB3OhNGnwb9Zmw\noM+EaxdM9e6c+Nmdz2elHkxKuVi7gbu0KgAAgHO5Udj9Dq+A+s3b19d7CgAAAN2wvQUAAKAI\nZXbsrDtf6TNs8bnGiR9/PCzK+Ic/LCMjY8KECVartZzHHDx48K/PBwAAUNmUCTuH5WTS3p/S\nbGfy9J4EAABAH8qEnanlyE9W31NobtiwQmeXg4KC3nrrrfIf884772zcuPGvDAcAAOACyoSd\nFtikQ9cmek8BAACgH/cMO2tuZmZWdk6hwbd6QM0gs5em90AAAAD6c6e7Ym3nd38ydUjPuAY1\nzdVrBofXb9Agok6tGtUCI5rfPnD8e1vSCvUeEAAAQE/usmPnuLDpxfvvn7L+rE3zC24U0/7m\nOkFmH6OtICcz/cThg+sXvbz2oznzRi/98pXuIWzfAQAAz+QeYefI+GpM/8k/2No+ueC1Z+Jb\nh/uWjreic/tWvjXuqZdmDhh1y/6P7g8m7QAAgCdyi1Oxjsyv31t2Orj/vJWvDbzl6qoTEa/a\nze+duGzxqCbnv1z4TQZvGAsAADyTW4SdPT31ZL6xaZtWAeXsxfnFtbvJtyjt1G921w0GAABQ\nhbhF2BlC6kf42g5t351Vzm5cwf6d+wu86oTXdov/JQAAAKdziwrSAnsOvi/st4+H3vPsx7vS\nr7351ZZxcOVL8fEzDgT1fvjOmlxhBwAAPJN73DyhBd0186PxR+57aebDrf89LCw6JjqyTpDZ\nx2QvzMk8m5py4NCJrCItoNWoxa8/wE2xAADAU7lH2IloNTtNXpfU66PZcxZ9sW777vUHii6f\nldW8qoc1ubX/4/2HjRjQsa6PvlMCAADoyF3CTkTEFNJm0JQ2g6aIo8iSkZFlybUafM2BtWry\nzhMAAADiXmF3heZlrhlirqn3GAAAAFWKW9w8AQAAgN9H2AEAACiCsAMAAFAEYQcAAKAIwg4A\nAEARhB0AAIAiCDsAAABFEHYAAACKIOwAAAAUQdgBAAAogrADAABQBGEHAACgCMIOAABAEYQd\nAACAIgg7AAAARRB2AAAAiiDsAAAAFEHYuc7y5dK3rzRqJI0aSd++sny53gMBAAC1mPQewCPY\n7ZKQIAsWFB85elS+/FIGDZL33hMDdQ0AAJyBpnCFOXNKVd0VCxbInDkunwYAACiKsHOF11+/\n7tIbb7hwDgAAoDROxVa6zEw5fPi6qykpMnmy+Po6+YuaTPLYYxIQ4ORPCwAAqjLCrtIVFPzO\nAz77TLy8nPxFjUbp1YuwAwDAsxB2la52bQkIkKysslcDAmT3bjEaXTsTAABQEWFX6YxGiY+X\n+fOluezrLx/fKPtFZL/c+LH03yfN4+OpOgAA4ByEnStMnSqNPp0+JnOCUWyXjvSSVWNkxsyg\nFwdNfU7f2QAAgDK4K9YVQjcuG5s57krVXWIU27MZ40I38XuKAQCAcxB2LvHyy39mCQAAoCI4\nFVv5LBbZs+e6q3v2yJEj0qjR5f9MS5OkpFIPiImRsLAKrxoM0rGj8++2BQAAVRhhV/mys8tb\ndThk3jx55ZXL//nuu/Laa6Ue8PTTMmFChVcNBlm9WuLi/troAADAnWgOh0PvGaq6d955JzEx\nMTs722w2/5mPLyqSGjUkP7/sVV9fuXiRrTUAANxFYWGhj4/P5s2b27dvr/csV+Mau8rn5SW9\ne193tXdvqg4AADgFYecSL71U9rtABARw8wQAAHAWws4loqNl3TqJjS11MDZW1q2TJk10mgkA\nAKiGmydcJS5O9u6Vn36S/ftFRGJj5aabxEBYAwAApyHsXMhgkLg47lQFAACVhB0jAAAARRB2\nAAAAiiDsAAAAFEHYAQAAKIKwAwAAUARhBwAAoAjCDgAAQBGEHQAAgCIIOwAAAEUQdgAAAIog\n7AAAABRB2AEAACiCsAMAAFAEYQcAAKAIwg4AAEARhB0AAIAiCDsAAABFEHYAAACKIOwAAAAU\nQdgBAAAogrADAABQBGEHAACgCMIOAABAEYQdAACAIgg7AAAARRB2AAAAiiDsAAAAFEHYAQAA\nKIKwAwAAUARhBwAAoAjCDgAAQBGEHQAAgCIIOwAAAEUQdgAAAIog7AAAABRB2AEAACiCsAMA\nAFAEYQcAAKAIwg4AAEARhB0AAIAiCDsAAABFEHYAAACKIOwAAAAUQdgBAAAogrADAABQBGEH\nAACgCMIOAABAEYQdAACAIgg7AAAARRB2AAAAijDpPUCFFWYcP/jzoWNnM7JzCg2+1QNDG0TH\nNGsU7KvpPRgAAIC+3CjsitI2zJ00efaSHw5n2RwlFzSjuV6bfonjJ43q1dBPr+kAAAD05i5h\nV5A0p1/3J745YwiK7nhffFzTyDpBZh+jrSAnM/1Eyt6t6zcuGt/n69XTv131TBxtBwAAPJN7\nhJ392PyRz35raTnys6XT7ylrV64wbf2/BsRPmjhyTt8No5sYXT8hAACA7tzi5gnH2dUrthQ0\nTpz9aplVJyLeYZ2fn/98O9uur9eedZT5CAAAANW5RdjZs7Oy7YY6EWHl7S8a6tSr6+2wZFvs\nLpsLAACgKnGLsDNGxMbUsu1aviy58LqPsaetWLohv0aT6HBOxAIAAM/kFmEn/rc/MbKVY+Nz\nnTsPfW35luT0PNuVJXvBhWM7/zt3dM/2gz/NaDZ0+B1mHecEAADQkXvcPCHeLcZ+tszy8GMz\n/zP6/vmjNc3kW6OG2cdkL8zJvphbaHeIZqrdesSixRPbck8sAADwVG4SdiLG8J4vrz2Y8P3y\nJSvWbdt36Hh6piXXaggKadA8MvrGW7r0iX+ge9MA99h/BAAAqBRuE3YiIoYajbsNHt9tsN5z\nAAAAVEXscQEAACjCrXbsymXLz84pcBh8zWYfahUAAHgiZcKuaOMzMbfPToudtGvXxOZ//Dee\nHDt2rE2bNlartZzHFBQUzJq17Pvv14uIV16u5nB4XcyOSxwrDodVTENuXpPwzxOXHvkHVw1L\nz3ReM0FEzp8/v3Xr1pJfy2Aw9OrV69KfWWWVVVZZZZXVqrk6a9YsqZKUCbs/KTIycunSpeWH\nXVJS0kcffTxp0nSj0eCffsSUnyPW2kenLRERh9E0onmM1V5DxC4if3C14au9L33moKCgmJgY\nu734dyp7e3tf+TOrrLLKKqussloFV5s2bTplypTWrVtL1aM5HKq8BZfDbreLGAwGzcmfeMuW\nLR06dCgoKCj5vAIAAM9UWFjo4+OzefPm9u3b6z3L1RTasdMMBt50AgAAeDD3C7vCjOMHfz50\n7GxGdk6hwbd6YGiD6JhmjYJ9nb1PBwAA4GbcKOyK0jbMnTR59pIfDmfZSp0+1ozmem36JY6f\nNKpXQ954AgAAeCx3CbuCpDn9uj/xzRlDUHTH++LjmkbWCTL7GG0FOZnpJ1L2bl2/cdH4Pl+v\nnv7tqmfiaDsAAOCZ3CPs7Mfmj3z2W0vLkZ8tnX5PWbtyhWnr/zUgftLEkXP6bhjdhEvtAACA\nJ3KL3+XrOLt6xZaCxomzXy2z6kTEO6zz8/Ofb2fb9fXas6rc5QsAAFAxbhF29uysbLuhTkRY\nefuLhjr16no7LNkWezkPAgAAUJdbhJ0xIjamlm3X8mXJhdd9jD1txdIN+TWaRIdzIhYAAHgm\ntwg78b/9iZGtHBuf69x56GvLtySn59muLNkLLhzb+d+5o3u2H/xpRrOhw+8w6zgnAACAjtzj\n5gnxbjH2s2WWhx+b+Z/R988frWkm3xo1zD4me2FO9sXcQrtDNFPt1iMWLZ7YlntiAQCAp3KT\nsBMxhvd8ee3BhO+XL1mxbtu+Q8fTMy25VkNQSIPmkdE33tKlT/wD3ZsGuMf+IwAAQKVwm7AT\nETHUaNxt8Phug/WeAwAAoCpijwsAAEARhB0AAIAiCDsAAABFEHYAAACKIOwAAAAUQdgBAAAo\ngrADAABQBGEHAACgCLf6BcU68fb2FhEfHx+9BwEAAFXFpTyoajSHw6H3DG5g7969VqtV7ylQ\nWXr27Hnfffd16NBB70HgUitXrty9e/fEiRP1HgQulZ+fP2TIkClTpvztb3/Texa41Pz58/39\n/V988UWnfDaTydSiRQunfCrnYsfuD6maTx6cxdfXt3379o888ojeg8ClTp48mZqayvPuaSwW\ny5AhQ3r27NmqVSu9Z4FLrV27VkRuvvlmvQepXFxjBwAAoAjCDgAAQBGEHQAAgCIIOwAAAEUQ\ndgAAAIog7AAAABRB2AEAACiCsAMAAFAEYQcAAKAI3nkCEG9v76r5ln+oVDzvnslkMhkMBp56\nD+QhTzrvFQtIampqeHi4ycTPOZ4lLy8vMzMzLCxM70HgakePHm3YsKHeU8DVMjIyRCQoKEjv\nQSoXYQcAAKAIrrEDAABQBGEHAACgCMIOAABAEYQdAACAIgg7AAAARRB2AAAAiiDsAAAAFEHY\nAQAAKIKwAwAAUARhBwAAoAjCDgAAQBGEHQAAgCIIOwAAAEUQdgAAAIow6T0AoBdH5uFt+04V\nOEofNQRG3dIi3EefkVC5HOlfjhv+bcwrbwxoZLx21XbxxMHktKIaDW6ICvHVXD8dKo3tyMIn\nxib1mDPt7pCST6zj3MHNB9JtV78EBDfr0CyYTQ+3Z806kXL0dJbNXLdJ03o1yviOt+ek/XIo\nNde/ftPosGpKPeEOwENlL7m/2rX/fHvf9savNr1HQ6WwHXuzi7+p2fhdRVevFBxe/nSXCD9N\nREQzBsY+OOvHC3Y9RkRlKNjzzxZe3h1nHS/9nW07MbuL97X/KPre+4lFp0HhHLbfNv/7kbgQ\nn8uv75p3aJvH3tmdWeJb2npq9aS7GpsNmohoBnOjuyavOa3O6z47dvBUttSUo4WGsK6JQzsF\nl+g7Y4M2AezWKMeee2rPypkjXvghV5pevebIXP1Uz4fmnqjXe+xbDzb3O7l27qvvP90rw2fb\nV4mNy/gxH+7Eln38x6VTE1/dVyS3XrN2NPmozdSoz6gBN5tLHDbdcGMZuQe3Ubhv5r29nttU\n1LDXmPEPtg7OO7x+4Zvvv/t491Tb1q8ejzKJSN6OKXf3m7ovsPOI1x5tV/P8lvdnzJ10T19t\nw8YX4tQ4WaN3WQI6yV85qKbBr8+HF/QeBJXLnvHpoHpm0/9q/ZodO+veyS29DQHd5xyxXv6A\nzO/+0dhoCBnweaYe88JJbEff7hPmb/zfE3/Njp393Hu9fA21E1bl6zUhKoE9Y2l8kMEY8cjy\nM1d26KzH37u7tsFQJ2GVxeFw2H6dc3s1zbfVlD3/e+bzdk2M89Gq3zn/pBq7dkqdVgb+OPvp\nw0csWkTTKPPvPxbuTPNpevfoSdNfnTHjlcc7BF7zkmfdv2zZz9aad48Y0PDy9pwW0Hn4oy2N\nv61cvDrL1cPCebTAuAefnfLKqzNmTB/U0uvabXjbsZRjVmPjG6I4caUS2y87f8rWwvsm3BV6\n5Tk3Rv790TuqO85t35piFfvJL5duzPXrkji0xf+253xvGjbsNl/L+sVfnrbrNLZT8TcaHsp6\nLPmo1dQs8LcPn0/4aueRc/agxrf0Gvj4wM71fPUeDc7lF3vvk7EiIkXrj8+et630oiPrp90p\nNq9b27euVnzQ2LjdLSHa3p92/WJ94BZeJN2UFtS6/6jWIiIFy3dM+fDA1ev5R1NS7dV6+f4y\nd/TkNXt/zTSGNO3QN2HYQ21CecrdmW/U7QMGh98V41XyYEFOTpFoPr7emhTu27m/yNSkXZva\nxbGvBbdpF2X8bu/O/UUS4f5nY9mxg2dyZBw+ct5RuHZC33/M35R60ZL+83cfTh/WrUWXCT9k\nOH7/w6EK++nUUzapFlGvZsktHWN4/XCj7eSvJ226DYZKZktNOVroyFr2xN3Pfrz7jCX71O5V\n/5k06NaWvWftydV7Nvx5phaPvfXe/PF3lrz/OXf3m7PX5Jmie94ZZXRcOHnSYjdE1K9bMn+M\ndeuFG+3ZqalKvPwTdvBM1qMpR61SLSbho/0nknf+uOvQmbNJCx+Nyt02fdC4Ndl6TweXsedY\ncuyafzX/Uq+Fmr+/n+awWSx5es2FymY9mnzMqgW2Gb0y5UTSth/3HD57esebfcN+WzN20LRd\nhXpPBydxZB9cMrpHzynbDS2ffmvMTV5iz7Xk2DWDXzW/kj/KaX7V/DVx5FhyCDvAXXm1mZaU\nm5+x9z8PRV0+9Vot+uE33xgUIalLF1B2nkPz8jJpYrNe9cvMrFabiBiN3BWrLJ9e757Jz0vf\n/GqvupdOvRoC44bPm3Z3YNGBhQu3Fek8Hf462/ldH4zqesNND/17T0Dff32zZlqnAE1EM5m8\nNIfDZi19NZ3VahVlvuMJO3gog8nb29tU+hvA3L5Lax+xHE45zRk4T2EIrBlocFzMyLSWPGrP\nvJBp1/yDAvm9F+oq4yVAq9WpS3Mv25nklCwVNm48WO4vS57s1Kxtwls/13nw1W9/3rt8TIda\nl3botICaAQbNnpmRWfIpvvQdbwgMqqHCL7si7OCRHPmZ6WfTM/OvevXWDAYRzdeP9x3wGIa6\n0VFmKTz8y7GSMZ93JOWEzdS4KTdMKsuWeyE9/beLBVcd1gwG0Qy+fj68BLgvy47pvTr0n32o\n/v+9uz15+wejuzfwK17UzFHREQbbkUOHS/4sZz36y1GroW50VHUVnnjCDh7JunNym7phMSO+\nsZQ8mrN1/fYCQ71WrcL5xvAYPm273VrNmvTN6uPFp2YsG7/ZaDE27Nq1oRInZlCGvNVP3BAW\n3nbSjpKX0zkubFq/12q6sU2cv26D4S/K3TRxwD83at1nbdjw9uCbgq55Lfdq0a1Tbcep777d\nW3y+vXDPN2vPSPBt3Vp6Xf1wd8S/X/BIXq3797/BlLbwyeELDlx0iIjYLyZ9OHzEeyf9bx0x\nrI0S39z4Q7Ta9zz+UIR168yxHx4pFBFxnF8/ecInZ/3aJSbEsWGnrGpdHrmvnuPQm8PGrDh2\n6RYZ27ntb/zfM59n1urzxMAoit5dWdbM+zBFWo6aOTzGr+xH+HdNTLhBOzR37Ot7c0REHNm7\nXxs7L0VrlpDYVZGg1/s3JAM6sex5vXeEt6aZzHWimkXXC/DWNM0cO2TZr1a9J0MlKfx+RD1j\nGe8Va//t26damDWDObJV127tm9Q0aV51+847VKDPlHC6/GV/99eufeeJCxsmdqxt1DSvgLrR\nzaLCqps0MQS1GbsmnbcJdl9F259rahLN6O17rRpd3zh26a9A9rYXO9Y0aL7hLTrf3ikmxEcz\n1rpt2g5l3iKYH0jhqaq1fGLlz91WfvDhis0HTl2U2Nsevf3v//dI18jr/JQH96cFRrW77Tb/\nv5mvuoxGq33HzE07u86ft3TDwXRrywfGj08Y/vAtIWzaqMIQ3KwZbOp0AAADnUlEQVRj5wvR\nEaWvndWCOk5ad6DP8vc/WrXtlzO5ppZ3tL7zkccebFuHDXs35rAGRHXsXKfMe1+8YsIu/xUw\n3zJ+ze5277296Lt9p/Ob3vX0yAGPD+5cT5lbpTSHg5t/AAAAVMA1dgAAAIog7AAAABRB2AEA\nACiCsAMAAFAEYQcAAKAIwg4AAEARhB0AAIAiCDsAAABFEHYAAACKIOwAAAAUQdgBAAAogrAD\nAABQBGEHAACgCMIOAABAEYQdAACAIgg7AAAARRB2AAAAiiDsAAAAFEHYAQAAKIKwAwAAUARh\nBwAAoAjCDgAAQBGEHQAAgCIIOwAAAEUQdgAAAIog7AAAABRB2AEAACiCsAMAAFAEYQcAAKAI\nwg4AAEARhB0AAIAiCDsAAABFEHYAAACKIOwAAAAUQdgBAAAogrADgPJYz+zf+MOGncctjuJj\njozkrRs2bE3OcFz/4wBAB4QdAJTHaEh+5+Gu7XqMX599+YjjzNLE2zre8cTKCz6arqMBwNU0\nh4OfOAGgHI60JQ/d/PDntUZ//+Mr7as5zq0YHHff4qBn1299ua2/3rMBQCmEHQD8HvupRQ/E\nPboqYsKmTaPOP31z7/fNY77fOq0dWQegqiHsAOD32U98cE/cY2sj+3bLWrnab/T3W6e1q6b3\nTABwDcIOAP4I+/H5d92c+HWG143Pfr91OlkHoEri5gkA+CMMIbGxdQyaeAeF1vTRexgAKBth\nBwB/QO62lx5/Mzm4Qb2iTVNGzj9q03seACgLYQcAvytv+8uJr/0cOnDexk/HNM9b+8KTH6ba\n9Z4JAK7FNXYA8DvydrzQodO0s/cu3rPo/pCcjaNbd5uVcffC3Uv7h/OzMYCqhbADgHLl7Zx4\na8cXT/ZcsHvZI3UNIo7M1cNv7j0/P37JnkX3hfArigFUJfy4CQDlsKd98/GOgI5D//3v/nUv\nvWBqgd2nvjnmzuizKz47WKTzdABQGjt2AAAAimDHDgAAQBGEHQAAgCIIOwAAAEUQdgAAAIog\n7AAAABRB2AEAACiCsAMAAFAEYQcAAKAIwg4AAEARhB0AAIAiCDsAAABFEHYAAACKIOwAAAAU\nQdgBAAAogrADAABQBGEHAACgCMIOAABAEYQdAACAIgg7AAAARRB2AAAAiiDsAAAAFEHYAQAA\nKIKwAwAAUARhBwAAoAjCDgAAQBGEHQAAgCIIOwAAAEUQdgAAAIog7AAAABRB2AEAACji/wED\nhCHmHljmmQAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "Plot with title “ecdf(x)”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Dados agrupados por ano\n",
+    "ANO <- df[\"ANO_CENSO\"]\n",
+    "\n",
+    "# Amostras\n",
+    "X <- df[\"NUM_SALAS\"]\n",
+    "data1 <- X[ANO == 2013]\n",
+    "\n",
+    "Y <- df[\"NUM_SALAS\"]\n",
+    "data2 <- Y[ANO == 2014]\n",
+    "\n",
+    "# Remove zeros\n",
+    "data1 <- data1[data1 != 0]\n",
+    "data2 <- data2[data2 != 0]\n",
+    "\n",
+    "# Limpeza dos dados\n",
+    "data1 <- remove_outliers(na.omit(data1))\n",
+    "data2 <- remove_outliers(na.omit(data2))\n",
+    "\n",
+    "# Ajusta dados em histogramas\n",
+    "data1 <- hist(data1, breaks=100, PLOT=FALSE)\n",
+    "data2 <- hist(data2, breaks=100, PLOT=FALSE)\n",
+    "data1 <- data1$count\n",
+    "data2 <- data2$count\n",
+    "\n",
+    "# Executa teste Cohen D\n",
+    "print(cohen.d(data1, data2))\n",
+    "\n",
+    "# Plotagem dos dados\n",
+    "plot_ecdf(data1, data2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b6c8c14d-5101-4201-b172-28e5b17016df",
+   "metadata": {},
+   "source": [
+    "## Teste CohenD - Anos subsequentes\n",
+    "Execução do teste T entre uma coluna de um ano contra todas as colunas dos anos subsequentes para todos os anos do csv."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "9aa86d14-0e60-4945-9d5f-d058b3c45654",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Colunas do csv de saida\n",
+    "colunas = c(\"coluna1\", \"ano_coluna1\", \"coluna2\", \"ano_coluna2\", \"tamanho_amostra1\", \"estatistica_cohend\")\n",
+    "output_df = data.frame(matrix(ncol = length(colunas), nrow = 0));\n",
+    "\n",
+    "# Remove ANO_CENSO das iteracoes\n",
+    "atributos = names(df)\n",
+    "atributos = atributos[atributos != \"ANO_CENSO\"]\n",
+    "            \n",
+    "# Separa os anos em amostras\n",
+    "ANO <- df[\"ANO_CENSO\"]\n",
+    "\n",
+    "for(ano in sort(unique(df$ANO_CENSO))){\n",
+    "    for(col1 in atributos) {\n",
+    "        for(col2 in atributos) {\n",
+    "\n",
+    "            # Amostra de um ano\n",
+    "            X <- df[col1]\n",
+    "            data1 <- X[ANO == ano]\n",
+    "\n",
+    "            # Amostra do ano seguinte\n",
+    "            Y <- df[col2]\n",
+    "            data2 <- Y[ANO == ano+1]\n",
+    "\n",
+    "            # Remove zeros\n",
+    "            data1 <- data1[data1 != 0]\n",
+    "            data2 <- data2[data2 != 0]\n",
+    "\n",
+    "            # Remove NaN, outliers e ordena\n",
+    "            data1 <- remove_outliers(na.omit(data1))\n",
+    "            data2 <- remove_outliers(na.omit(data2))\n",
+    "\n",
+    "            # Pula casos em que não há dados nas amostras\n",
+    "            if(length(data1) == 0 || length(data2) == 0){\n",
+    "                next\n",
+    "            }\n",
+    "            \n",
+    "            # Ajusta dados em histogramas\n",
+    "            data1 <- hist(data1, breaks=100, PLOT=FALSE)\n",
+    "            data2 <- hist(data2, breaks=100, PLOT=FALSE)\n",
+    "            data1 <- data1$count\n",
+    "            data2 <- data2$count\n",
+    "\n",
+    "            # Teste Cohen D\n",
+    "            resultado = cohen.d(data1, data2)\n",
+    "\n",
+    "            # Concatena resultados no dataframe\n",
+    "            nova_linha = c(col1, ano, col2, ano+1, length(data1), resultado$estimate)\n",
+    "            output_df = rbind(output_df, nova_linha)\n",
+    "        }\n",
+    "    }\n",
+    "}\n",
+    "output_csv = \"Result_COHEND/COHEND_subsequente.csv\"\n",
+    "colnames(output_df) <- colunas\n",
+    "write.csv(output_df, file = output_csv, row.names = FALSE)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d52a6568-693a-4d59-b050-2f8d6899433e",
+   "metadata": {},
+   "source": [
+    "## Teste CohenD - Anos acumulados\n",
+    "O mesmo teste anterior, porém com o acumulo da amostra conforme o passar dos anos"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "bd76fa5b-a42c-434a-b3df-83f12f80a262",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Colunas do csv de saida\n",
+    "colunas = c(\"coluna1\", \"ano_coluna1\", \"coluna2\", \"ano_coluna2\", \"tamanho_amostra1\", \"estatistica_cohend\")\n",
+    "output_df = data.frame(matrix(ncol = length(colunas), nrow = 0))\n",
+    "ano_start = min(df$ANO_CENSO)\n",
+    "\n",
+    "# Remove ANO_CENSO das iteracoes\n",
+    "atributos = names(df)\n",
+    "atributos = atributos[atributos != \"ANO_CENSO\"]\n",
+    "            \n",
+    "# Separa os anos em amostras\n",
+    "ANO_COLUMN <- df[\"ANO_CENSO\"]\n",
+    "\n",
+    "for(ano in sort(unique(df$ANO_CENSO))){\n",
+    "    for(col1 in atributos) {\n",
+    "        for(col2 in atributos) {\n",
+    "\n",
+    "            # Amostra acumulada dos anos\n",
+    "            X <- df[col1]\n",
+    "            data1 <- X[ANO_COLUMN >= ano_start & ANO_COLUMN <= ano]\n",
+    "\n",
+    "            # Amostra do ano seguinte\n",
+    "            Y <- df[col2]\n",
+    "            data2 <- Y[ANO_COLUMN == ano+1]\n",
+    "\n",
+    "            # Remove zeros\n",
+    "            data1 <- data1[data1 != 0]\n",
+    "            data2 <- data2[data2 != 0]\n",
+    "\n",
+    "            # Remove NaN, outliers e ordena\n",
+    "            data1 <- remove_outliers(na.omit(data1))\n",
+    "            data2 <- remove_outliers(na.omit(data2))\n",
+    "\n",
+    "            # Pula casos em que não há dados nas amostras\n",
+    "            if(length(data1) == 0 || length(data2) == 0){\n",
+    "                next\n",
+    "            }\n",
+    "\n",
+    "            # Ajusta dados em histogramas\n",
+    "            data1 <- hist(data1, breaks=100, PLOT=FALSE)\n",
+    "            data2 <- hist(data2, breaks=100, PLOT=FALSE)\n",
+    "            data1 <- data1$count\n",
+    "            data2 <- data2$count\n",
+    "\n",
+    "            # Teste Cohend\n",
+    "            resultado = cohen.d(data1, data2)\n",
+    "\n",
+    "            # Concatena resultados no dataframe\n",
+    "            nova_linha = c(col1, ano, col2, ano+1, length(data1), resultado$estimate)\n",
+    "            output_df = rbind(output_df, nova_linha)\n",
+    "        }\n",
+    "    }\n",
+    "}\n",
+    "output_csv = \"Result_COHEND/COHEND_acumulado.csv\"\n",
+    "colnames(output_df) <- colunas\n",
+    "write.csv(output_df, file = output_csv, row.names = FALSE)"
+   ]
+  }
+ ],
+ "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": "4.4.0"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/Testes_norm/TESTE_F.ipynb b/Testes_norm/TESTE_F.ipynb
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diff --git a/Testes_norm/TESTE_KS.ipynb b/Testes_norm/TESTE_KS.ipynb
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+++ b/Testes_norm/TESTE_KS.ipynb
@@ -0,0 +1,510 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "b977bf15-ee73-4730-8651-f8a3caffb393",
+   "metadata": {},
+   "source": [
+    "# Analise estatistica com Teste KS\n",
+    "Utiliza a máxima diferença absoluta entre as duas distribuições acumulativas"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "ceab7323-0150-4a5c-8b6f-07464f948b9a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<table class=\"dataframe\">\n",
+       "<caption>A data.frame: 6 × 31</caption>\n",
+       "<thead>\n",
+       "\t<tr><th></th><th scope=col>ANO_CENSO</th><th scope=col>NUM_SALAS</th><th scope=col>NUM_SALAS_UTILIZADAS</th><th scope=col>NUM_TV</th><th scope=col>NUM_DVD</th><th scope=col>NUM_COPIADORA</th><th scope=col>NUM_IMPRESSORA</th><th scope=col>NUM_SOM</th><th scope=col>NUM_MULTIMIDIA</th><th scope=col>NUM_FOTO</th><th scope=col>⋯</th><th scope=col>QTDE_TABLET</th><th scope=col>QTDE_PROF_SERVICOS_GERAIS</th><th scope=col>QTDE_PROF_BIBLIOTECARIO</th><th scope=col>QTDE_PROF_SAUDE</th><th scope=col>QTDE_PROF_COORDENADOR</th><th scope=col>QTDE_PROF_ALIMENTACAO</th><th scope=col>QTDE_PROF_PEDAGOGIA</th><th scope=col>QTDE_PROF_SEGURANCA</th><th scope=col>QTDE_PROF_MONITORES</th><th scope=col>QT_PROF_ADMIN</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;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;int&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;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></tr>\n",
+       "</thead>\n",
+       "<tbody>\n",
+       "\t<tr><th scope=row>1</th><td>2013</td><td> 8</td><td> 8</td><td>3</td><td>1</td><td>0</td><td>4</td><td>1</td><td>7</td><td>1</td><td>⋯</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td></tr>\n",
+       "\t<tr><th scope=row>2</th><td>2013</td><td> 5</td><td> 5</td><td>6</td><td>5</td><td>1</td><td>3</td><td>7</td><td>1</td><td>2</td><td>⋯</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td></tr>\n",
+       "\t<tr><th scope=row>3</th><td>2013</td><td> 8</td><td> 8</td><td>3</td><td>2</td><td>1</td><td>5</td><td>3</td><td>2</td><td>2</td><td>⋯</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td></tr>\n",
+       "\t<tr><th scope=row>4</th><td>2013</td><td>10</td><td>10</td><td>4</td><td>2</td><td>1</td><td>5</td><td>2</td><td>2</td><td>3</td><td>⋯</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td></tr>\n",
+       "\t<tr><th scope=row>5</th><td>2013</td><td>12</td><td>12</td><td>6</td><td>2</td><td>2</td><td>7</td><td>1</td><td>1</td><td>1</td><td>⋯</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td></tr>\n",
+       "\t<tr><th scope=row>6</th><td>2013</td><td> 4</td><td> 4</td><td>1</td><td>1</td><td>1</td><td>1</td><td>0</td><td>1</td><td>1</td><td>⋯</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td></tr>\n",
+       "</tbody>\n",
+       "</table>\n"
+      ],
+      "text/latex": [
+       "A data.frame: 6 × 31\n",
+       "\\begin{tabular}{r|lllllllllllllllllllll}\n",
+       "  & ANO\\_CENSO & NUM\\_SALAS & NUM\\_SALAS\\_UTILIZADAS & NUM\\_TV & NUM\\_DVD & NUM\\_COPIADORA & NUM\\_IMPRESSORA & NUM\\_SOM & NUM\\_MULTIMIDIA & NUM\\_FOTO & ⋯ & QTDE\\_TABLET & QTDE\\_PROF\\_SERVICOS\\_GERAIS & QTDE\\_PROF\\_BIBLIOTECARIO & QTDE\\_PROF\\_SAUDE & QTDE\\_PROF\\_COORDENADOR & QTDE\\_PROF\\_ALIMENTACAO & QTDE\\_PROF\\_PEDAGOGIA & QTDE\\_PROF\\_SEGURANCA & QTDE\\_PROF\\_MONITORES & QT\\_PROF\\_ADMIN\\\\\n",
+       "  & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & ⋯ & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int>\\\\\n",
+       "\\hline\n",
+       "\t1 & 2013 &  8 &  8 & 3 & 1 & 0 & 4 & 1 & 7 & 1 & ⋯ & NA & NA & NA & NA & NA & NA & NA & NA & NA & NA\\\\\n",
+       "\t2 & 2013 &  5 &  5 & 6 & 5 & 1 & 3 & 7 & 1 & 2 & ⋯ & NA & NA & NA & NA & NA & NA & NA & NA & NA & NA\\\\\n",
+       "\t3 & 2013 &  8 &  8 & 3 & 2 & 1 & 5 & 3 & 2 & 2 & ⋯ & NA & NA & NA & NA & NA & NA & NA & NA & NA & NA\\\\\n",
+       "\t4 & 2013 & 10 & 10 & 4 & 2 & 1 & 5 & 2 & 2 & 3 & ⋯ & NA & NA & NA & NA & NA & NA & NA & NA & NA & NA\\\\\n",
+       "\t5 & 2013 & 12 & 12 & 6 & 2 & 2 & 7 & 1 & 1 & 1 & ⋯ & NA & NA & NA & NA & NA & NA & NA & NA & NA & NA\\\\\n",
+       "\t6 & 2013 &  4 &  4 & 1 & 1 & 1 & 1 & 0 & 1 & 1 & ⋯ & NA & NA & NA & NA & NA & NA & NA & NA & NA & NA\\\\\n",
+       "\\end{tabular}\n"
+      ],
+      "text/markdown": [
+       "\n",
+       "A data.frame: 6 × 31\n",
+       "\n",
+       "| <!--/--> | ANO_CENSO &lt;int&gt; | NUM_SALAS &lt;int&gt; | NUM_SALAS_UTILIZADAS &lt;int&gt; | NUM_TV &lt;int&gt; | NUM_DVD &lt;int&gt; | NUM_COPIADORA &lt;int&gt; | NUM_IMPRESSORA &lt;int&gt; | NUM_SOM &lt;int&gt; | NUM_MULTIMIDIA &lt;int&gt; | NUM_FOTO &lt;int&gt; | ⋯ ⋯ | QTDE_TABLET &lt;int&gt; | QTDE_PROF_SERVICOS_GERAIS &lt;int&gt; | QTDE_PROF_BIBLIOTECARIO &lt;int&gt; | QTDE_PROF_SAUDE &lt;int&gt; | QTDE_PROF_COORDENADOR &lt;int&gt; | QTDE_PROF_ALIMENTACAO &lt;int&gt; | QTDE_PROF_PEDAGOGIA &lt;int&gt; | QTDE_PROF_SEGURANCA &lt;int&gt; | QTDE_PROF_MONITORES &lt;int&gt; | QT_PROF_ADMIN &lt;int&gt; |\n",
+       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
+       "| 1 | 2013 |  8 |  8 | 3 | 1 | 0 | 4 | 1 | 7 | 1 | ⋯ | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |\n",
+       "| 2 | 2013 |  5 |  5 | 6 | 5 | 1 | 3 | 7 | 1 | 2 | ⋯ | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |\n",
+       "| 3 | 2013 |  8 |  8 | 3 | 2 | 1 | 5 | 3 | 2 | 2 | ⋯ | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |\n",
+       "| 4 | 2013 | 10 | 10 | 4 | 2 | 1 | 5 | 2 | 2 | 3 | ⋯ | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |\n",
+       "| 5 | 2013 | 12 | 12 | 6 | 2 | 2 | 7 | 1 | 1 | 1 | ⋯ | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |\n",
+       "| 6 | 2013 |  4 |  4 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | ⋯ | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |\n",
+       "\n"
+      ],
+      "text/plain": [
+       "  ANO_CENSO NUM_SALAS NUM_SALAS_UTILIZADAS NUM_TV NUM_DVD NUM_COPIADORA\n",
+       "1 2013       8         8                   3      1       0            \n",
+       "2 2013       5         5                   6      5       1            \n",
+       "3 2013       8         8                   3      2       1            \n",
+       "4 2013      10        10                   4      2       1            \n",
+       "5 2013      12        12                   6      2       2            \n",
+       "6 2013       4         4                   1      1       1            \n",
+       "  NUM_IMPRESSORA NUM_SOM NUM_MULTIMIDIA NUM_FOTO ⋯ QTDE_TABLET\n",
+       "1 4              1       7              1        ⋯ NA         \n",
+       "2 3              7       1              2        ⋯ NA         \n",
+       "3 5              3       2              2        ⋯ NA         \n",
+       "4 5              2       2              3        ⋯ NA         \n",
+       "5 7              1       1              1        ⋯ NA         \n",
+       "6 1              0       1              1        ⋯ NA         \n",
+       "  QTDE_PROF_SERVICOS_GERAIS QTDE_PROF_BIBLIOTECARIO QTDE_PROF_SAUDE\n",
+       "1 NA                        NA                      NA             \n",
+       "2 NA                        NA                      NA             \n",
+       "3 NA                        NA                      NA             \n",
+       "4 NA                        NA                      NA             \n",
+       "5 NA                        NA                      NA             \n",
+       "6 NA                        NA                      NA             \n",
+       "  QTDE_PROF_COORDENADOR QTDE_PROF_ALIMENTACAO QTDE_PROF_PEDAGOGIA\n",
+       "1 NA                    NA                    NA                 \n",
+       "2 NA                    NA                    NA                 \n",
+       "3 NA                    NA                    NA                 \n",
+       "4 NA                    NA                    NA                 \n",
+       "5 NA                    NA                    NA                 \n",
+       "6 NA                    NA                    NA                 \n",
+       "  QTDE_PROF_SEGURANCA QTDE_PROF_MONITORES QT_PROF_ADMIN\n",
+       "1 NA                  NA                  NA           \n",
+       "2 NA                  NA                  NA           \n",
+       "3 NA                  NA                  NA           \n",
+       "4 NA                  NA                  NA           \n",
+       "5 NA                  NA                  NA           \n",
+       "6 NA                  NA                  NA           "
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Carrega CSV\n",
+    "options(warn = -1)\n",
+    "df = read.csv(\"../dados/escola_integers.csv\", sep=\"|\")\n",
+    "head(df)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2c7eca10-6c0b-427d-be50-c4bf3d224f2d",
+   "metadata": {},
+   "source": [
+    "## Limpeza de Outliers\n",
+    "Para limpar dados que se diferenciam drasticamente do resto do conjunto de dados é utilizado a remoção dos outliers."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "ee18ee6d-1dda-4c65-8347-f3b7e980e83c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Function to remove outliers using the IQR method\n",
+    "remove_outliers <- function(data) {\n",
+    "  # Calculate the interquartile range (IQR)\n",
+    "  Q1 <- quantile(data, 0.25)\n",
+    "  Q3 <- quantile(data, 0.75)\n",
+    "  IQR <- Q3 - Q1\n",
+    "  \n",
+    "  # Define the lower and upper bounds\n",
+    "  lower_bound <- Q1 - 1.5 * IQR\n",
+    "  upper_bound <- Q3 + 1.5 * IQR\n",
+    "  \n",
+    "  # Remove outliers\n",
+    "  cleaned_data <- data[data >= lower_bound & data <= upper_bound]\n",
+    "  \n",
+    "  # Return the cleaned data\n",
+    "  return(cleaned_data)\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fdfd2d76-6e51-46dc-bf01-da1839b837e4",
+   "metadata": {},
+   "source": [
+    "## Ajuste de distribuição\n",
+    "Para comparar duas amostras de tamanhos muito diferentes, ou mesmo para rodar testes em que o tamanho influencia o resultado, é calculado uma sub-amostra uniforme.  \n",
+    "Primeiro é calculado a distância de um valor ao próximo (step) `step = get_step(data, 250)`.  \n",
+    "Em seguida é calculado os índices da sub amostra com `indexes = seq(1, length(data), step)`.  \n",
+    "Finalmente é gerado a sub amostra com `subsample = data[indexes, drop=FALSE]`  \n",
+    "Ex:  \n",
+    "X = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, ... , 999, 1000]  \n",
+    "Y = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]  \n",
+    "get_step: Distância entre os valores de uma subamostra de tamanho `tam`  \n",
+    "max_step: Menor distância possível entre valores de uma subamostra entre duas amostras  \n",
+    "get_step(X, 250) -> X = [1, 4, 8, 12, 16, ... , 992, 226, 1000]  \n",
+    "max_step(X, Y)  \n",
+    "|--- X = [1, 100, 200, 300, ..., 900, 1000]  \n",
+    "|--- Y = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]  "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "41bec284-11a2-4f6b-9219-11ad3aaf652b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Function to calculate the step between subsamples\n",
+    "get_step <- function(data, tam) {\n",
+    "    return(length(data)/tam)\n",
+    "}\n",
+    "\n",
+    "max_step <- function(data1, data2) {\n",
+    "    if(length(data1) > length(data2)){\n",
+    "        return(length(data1) / length(data2))\n",
+    "    }\n",
+    "    return(length(data2) / length(data1))\n",
+    "}\n",
+    "\n",
+    "mono_get_sample <- function(data, tam){\n",
+    "    step = get_step(data, tam)\n",
+    "    indexes = seq(1, length(data), step)\n",
+    "    return (data[indexes, drop=FALSE])\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7ca6c624-62c0-4fce-b3cd-c47d20c0b85e",
+   "metadata": {},
+   "source": [
+    "## Plot de Grafico\n",
+    "Funções para plot de gráficos"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "4c578156-afa1-4432-acb3-d6a143c0b349",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plot_ecdf <- function(x, x2){\n",
+    "    plot(ecdf(x),\n",
+    "         xlim = range(c(x, x2)), \n",
+    "         col = \"blue\")\n",
+    "    plot(ecdf(x2), \n",
+    "         add = TRUE, \n",
+    "         lty = \"dashed\",\n",
+    "         col = \"red\")\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "69c80406-3d20-408d-8fce-e4a7aea65dd4",
+   "metadata": {},
+   "source": [
+    "## Teste KS\n",
+    "Utilizando o teste KS é possível analisar se duas amostras de dados pertencem a mesma população de dados.\n",
+    "\n",
+    "Primeiro é selecionado duas amostras que foram agrupadas pelos anos do censo.  \n",
+    "Em seguida é feito uma limpeza dos dados fazendo a retirada dos nulos, outliers e os ordenando.  \n",
+    "Depois é gerado as subamostras para igualar de tamanho.  \n",
+    "Finalmente é executado o teste."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "id": "a9629868-ef70-4073-856b-fa3cee413898",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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iHYAYBS0FIMgI14twoAFCKxpVj/edPNpjqR1FKsluHYlsBQ2ewRAF5vBDsAUIh0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+      "text/plain": [
+       "Plot with title “NUM_DVD 2014”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      " [1] 0.6225024 0.0000000 0.0000000 0.0000000 0.2707131 0.0000000 0.0000000\n",
+      " [8] 0.0000000 0.0000000 0.1067845\n",
+      "\n",
+      "\tExact two-sample Kolmogorov-Smirnov test\n",
+      "\n",
+      "data:  data1 and data2\n",
+      "D = 0.7, p-value = 0.01234\n",
+      "alternative hypothesis: two-sided\n",
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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CDeeEO0ayf++UfIshBC6PVi+XLx9ttiyBBRtmyRFwQALwC9DjA7ZhHsVA5ODir9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",
+      "text/plain": [
+       "Plot with title “NUM_DVD 2014”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Dados agrupados por ano\n",
+    "ANO <- df[\"ANO_CENSO\"]\n",
+    "\n",
+    "col1 <- \"NUM_SALAS\"\n",
+    "col2 <- \"NUM_DVD\"\n",
+    "ano1 <- 2013\n",
+    "ano2 <- 2014\n",
+    "\n",
+    "# Amostras\n",
+    "X <- df[col1]\n",
+    "data1 <- X[ANO == ano1]\n",
+    "\n",
+    "Y <- df[col2]\n",
+    "data2 <- Y[ANO == ano2]\n",
+    "\n",
+    "# Remove zeros\n",
+    "data1 <- data1[data1 != 0]\n",
+    "data2 <- data2[data2 != 0]\n",
+    "\n",
+    "# Limpeza dos dados\n",
+    "data1 <- remove_outliers(na.omit(data1))\n",
+    "data2 <- remove_outliers(na.omit(data2))\n",
+    "\n",
+    "# Sub amostras (testar duas amostras de tamanhos iguais para o teste ks)\n",
+    "#tam = min(length(data1), length(data2))\n",
+    "#data1 = mono_get_sample(data1, tam)\n",
+    "#data2 = mono_get_sample(data2, tam)\n",
+    "\n",
+    "# histogramas\n",
+    "par(mfrow=c(1, 2))   # Ajusta plot\n",
+    "data1 <- hist(data1, breaks=10, PLOT=FALSE, main=paste(col1, as.character(ano1)), col=rgb(1,0,0,0.5))\n",
+    "data2 <- hist(data2, breaks=10, PLOT=FALSE, main=paste(col2, as.character(ano2)), col=rgb(0,0,1,0.5))\n",
+    "\n",
+    "# Normaliza\n",
+    "data1 <- data1$count / sum(data1$count)\n",
+    "data2 <- data2$count / sum(data2$count)\n",
+    "\n",
+    "plot(data1, main=paste(col1, as.character(ano1)), xlab=\"Value\", ylab=\"Normalized Frequency\", col=\"blue\")\n",
+    "plot(data2, main=paste(col2, as.character(ano2)), xlab=\"Value\", ylab=\"Normalized Frequency\", col=\"blue\")\n",
+    "\n",
+    "# Executa teste KS\n",
+    "print(ks.test(data1, data2))\n",
+    "\n",
+    "# Plotagem dos dados\n",
+    "#plot_ecdf(data1, data2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b6c8c14d-5101-4201-b172-28e5b17016df",
+   "metadata": {},
+   "source": [
+    "## Teste KS - Anos subsequentes\n",
+    "Execução do teste KS entre uma coluna de um ano contra todas as colunas dos anos subsequentes para todos os anos do csv."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "9aa86d14-0e60-4945-9d5f-d058b3c45654",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Colunas do csv de saida\n",
+    "colunas = c(\"coluna1\", \"ano_coluna1\", \"coluna2\", \"ano_coluna2\", \"tamanho_amostra\", \"estatistica_ks\", \"p_valor\")\n",
+    "output_df = data.frame(matrix(ncol = length(colunas), nrow = 0))\n",
+    "\n",
+    "# Remove ANO_CENSO das iteracoes\n",
+    "atributos = names(df)\n",
+    "atributos = atributos[atributos != \"ANO_CENSO\"]\n",
+    "\n",
+    "# Separa os anos em amostras\n",
+    "ANO <- df[\"ANO_CENSO\"]\n",
+    "\n",
+    "for(ano in sort(unique(df$ANO_CENSO))){\n",
+    "    for(col1 in atributos) {\n",
+    "        for(col2 in atributos) {\n",
+    "\n",
+    "            # Amostra de um ano\n",
+    "            X <- df[col1]\n",
+    "            data1 <- X[ANO == ano]\n",
+    "\n",
+    "            # Amostra do ano seguinte\n",
+    "            Y <- df[col2]\n",
+    "            data2 <- Y[ANO == ano+1]\n",
+    "\n",
+    "            # Remove zeros\n",
+    "            data1 <- data1[data1 != 0]\n",
+    "            data2 <- data2[data2 != 0]\n",
+    "            \n",
+    "            # Remove NaN, outliers e ordena\n",
+    "            data1 <- remove_outliers(na.omit(data1))\n",
+    "            data2 <- remove_outliers(na.omit(data2))\n",
+    "            \n",
+    "            # Distribui as amostras para o tamanho da menor amostra\n",
+    "            tam = min(length(data1), length(data2))\n",
+    "            data1 = mono_get_sample(data1, tam)\n",
+    "            data2 = mono_get_sample(data2, tam)\n",
+    "\n",
+    "            # Pula casos em que não há dados nas amostras\n",
+    "            if(length(data1) == 0 || length(data2) == 0){\n",
+    "                next\n",
+    "            }\n",
+    "\n",
+    "            # Ajusta dados em histogramas\n",
+    "            data1 <- hist(data1, breaks=100, PLOT=FALSE)\n",
+    "            data2 <- hist(data2, breaks=100, PLOT=FALSE)\n",
+    "            data1 <- data1$count\n",
+    "            data2 <- data2$count\n",
+    " \n",
+    "            # Teste KS\n",
+    "            resultado = ks.test(data1, data2)\n",
+    "\n",
+    "            # Concatena resultados no dataframe\n",
+    "            nova_linha = c(col1, ano, col2, ano+1, tam, resultado$statistic, resultado$p.value)\n",
+    "            output_df = rbind(output_df, nova_linha)\n",
+    "        }\n",
+    "    }\n",
+    "}\n",
+    "output_csv = \"Result_KS/KS_subsequente.csv\"\n",
+    "colnames(output_df) <- colunas\n",
+    "write.csv(output_df, file = output_csv, row.names = FALSE)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d52a6568-693a-4d59-b050-2f8d6899433e",
+   "metadata": {},
+   "source": [
+    "## Teste KS - Anos acumulados\n",
+    "O mesmo teste anterior, porém com o acumulo da amostra conforme o passar dos anos"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "bd76fa5b-a42c-434a-b3df-83f12f80a262",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Colunas do csv de saida\n",
+    "colunas = c(\"coluna1\", \"ano_coluna1\", \"coluna2\", \"ano_coluna2\", \"tamanho_amostra\", \"estatistica_ks\", \"p_valor\")\n",
+    "output_df = data.frame(matrix(ncol = length(colunas), nrow = 0))\n",
+    "ano_start = min(df$ANO_CENSO)\n",
+    "\n",
+    "# Remove ANO_CENSO das iteracoes\n",
+    "atributos = names(df)\n",
+    "atributos = atributos[atributos != \"ANO_CENSO\"]\n",
+    "\n",
+    "# Separa os anos em amostras\n",
+    "ANO_COLUMN <- df[\"ANO_CENSO\"]\n",
+    "\n",
+    "for(ano in sort(unique(df$ANO_CENSO))){\n",
+    "    for(col1 in atributos) {\n",
+    "        for(col2 in atributos) {\n",
+    "\n",
+    "            # Amostra acumulada dos anos\n",
+    "            X <- df[col1]\n",
+    "            data1 <- X[ANO_COLUMN >= ano_start & ANO_COLUMN <= ano]\n",
+    "\n",
+    "            # Amostra do ano seguinte\n",
+    "            Y <- df[col2]\n",
+    "            data2 <- Y[ANO_COLUMN == ano+1]\n",
+    "\n",
+    "            # Remove zeros\n",
+    "            data1 <- data1[data1 != 0]\n",
+    "            data2 <- data2[data2 != 0]\n",
+    "            \n",
+    "            # Remove NaN, outliers e ordena\n",
+    "            data1 <- remove_outliers(na.omit(data1))\n",
+    "            data2 <- remove_outliers(na.omit(data2))\n",
+    "            \n",
+    "            # Cria uma amostra bem distribuída\n",
+    "            tam = min(length(data1), length(data2))\n",
+    "            data1 = mono_get_sample(data1, tam)\n",
+    "            data2 = mono_get_sample(data2, tam)\n",
+    "\n",
+    "            # Pula casos em que não há dados nas amostras\n",
+    "            if(length(data1) == 0 || length(data2) == 0){\n",
+    "                next\n",
+    "            }\n",
+    "\n",
+    "            # Ajusta dados em histogramas\n",
+    "            data1 <- hist(data1, breaks=100, PLOT=FALSE)\n",
+    "            data2 <- hist(data2, breaks=100, PLOT=FALSE)\n",
+    "            data1 <- data1$count\n",
+    "            data2 <- data2$count\n",
+    "\n",
+    "            # Teste KS\n",
+    "            resultado = ks.test(data1, data2)\n",
+    "\n",
+    "            # Concatena resultados no dataframe\n",
+    "            nova_linha = c(col1, ano, col2, ano+1, tam, resultado$statistic, resultado$p.value)\n",
+    "            output_df = rbind(output_df, nova_linha)\n",
+    "        }\n",
+    "    }\n",
+    "}\n",
+    "output_csv = \"Result_KS/KS_acumulado.csv\"\n",
+    "colnames(output_df) <- colunas\n",
+    "write.csv(output_df, file = output_csv, row.names = FALSE)"
+   ]
+  }
+ ],
+ "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": "4.4.0"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/Testes_norm/TESTE_T.ipynb b/Testes_norm/TESTE_T.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..3e610d53e600083153561a805e62f409495ac6f5
--- /dev/null
+++ b/Testes_norm/TESTE_T.ipynb
@@ -0,0 +1,1511 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "b977bf15-ee73-4730-8651-f8a3caffb393",
+   "metadata": {},
+   "source": [
+    "# Analise estatistica com Teste T\n",
+    "Utiliza média, desvio padrão e o tamanho de duas amostras para comparação de similaridade"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "ceab7323-0150-4a5c-8b6f-07464f948b9a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<table class=\"dataframe\">\n",
+       "<caption>A data.frame: 6 × 31</caption>\n",
+       "<thead>\n",
+       "\t<tr><th></th><th scope=col>ANO_CENSO</th><th scope=col>NUM_SALAS</th><th scope=col>NUM_SALAS_UTILIZADAS</th><th scope=col>NUM_TV</th><th scope=col>NUM_DVD</th><th scope=col>NUM_COPIADORA</th><th scope=col>NUM_IMPRESSORA</th><th scope=col>NUM_SOM</th><th scope=col>NUM_MULTIMIDIA</th><th scope=col>NUM_FOTO</th><th scope=col>⋯</th><th scope=col>QTDE_TABLET</th><th scope=col>QTDE_PROF_SERVICOS_GERAIS</th><th scope=col>QTDE_PROF_BIBLIOTECARIO</th><th scope=col>QTDE_PROF_SAUDE</th><th scope=col>QTDE_PROF_COORDENADOR</th><th scope=col>QTDE_PROF_ALIMENTACAO</th><th scope=col>QTDE_PROF_PEDAGOGIA</th><th scope=col>QTDE_PROF_SEGURANCA</th><th scope=col>QTDE_PROF_MONITORES</th><th scope=col>QT_PROF_ADMIN</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;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;int&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;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></tr>\n",
+       "</thead>\n",
+       "<tbody>\n",
+       "\t<tr><th scope=row>1</th><td>2013</td><td> 8</td><td> 8</td><td>3</td><td>1</td><td>0</td><td>4</td><td>1</td><td>7</td><td>1</td><td>⋯</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td></tr>\n",
+       "\t<tr><th scope=row>2</th><td>2013</td><td> 5</td><td> 5</td><td>6</td><td>5</td><td>1</td><td>3</td><td>7</td><td>1</td><td>2</td><td>⋯</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td></tr>\n",
+       "\t<tr><th scope=row>3</th><td>2013</td><td> 8</td><td> 8</td><td>3</td><td>2</td><td>1</td><td>5</td><td>3</td><td>2</td><td>2</td><td>⋯</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td></tr>\n",
+       "\t<tr><th scope=row>4</th><td>2013</td><td>10</td><td>10</td><td>4</td><td>2</td><td>1</td><td>5</td><td>2</td><td>2</td><td>3</td><td>⋯</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td></tr>\n",
+       "\t<tr><th scope=row>5</th><td>2013</td><td>12</td><td>12</td><td>6</td><td>2</td><td>2</td><td>7</td><td>1</td><td>1</td><td>1</td><td>⋯</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td></tr>\n",
+       "\t<tr><th scope=row>6</th><td>2013</td><td> 4</td><td> 4</td><td>1</td><td>1</td><td>1</td><td>1</td><td>0</td><td>1</td><td>1</td><td>⋯</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td></tr>\n",
+       "</tbody>\n",
+       "</table>\n"
+      ],
+      "text/latex": [
+       "A data.frame: 6 × 31\n",
+       "\\begin{tabular}{r|lllllllllllllllllllll}\n",
+       "  & ANO\\_CENSO & NUM\\_SALAS & NUM\\_SALAS\\_UTILIZADAS & NUM\\_TV & NUM\\_DVD & NUM\\_COPIADORA & NUM\\_IMPRESSORA & NUM\\_SOM & NUM\\_MULTIMIDIA & NUM\\_FOTO & ⋯ & QTDE\\_TABLET & QTDE\\_PROF\\_SERVICOS\\_GERAIS & QTDE\\_PROF\\_BIBLIOTECARIO & QTDE\\_PROF\\_SAUDE & QTDE\\_PROF\\_COORDENADOR & QTDE\\_PROF\\_ALIMENTACAO & QTDE\\_PROF\\_PEDAGOGIA & QTDE\\_PROF\\_SEGURANCA & QTDE\\_PROF\\_MONITORES & QT\\_PROF\\_ADMIN\\\\\n",
+       "  & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & ⋯ & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int>\\\\\n",
+       "\\hline\n",
+       "\t1 & 2013 &  8 &  8 & 3 & 1 & 0 & 4 & 1 & 7 & 1 & ⋯ & NA & NA & NA & NA & NA & NA & NA & NA & NA & NA\\\\\n",
+       "\t2 & 2013 &  5 &  5 & 6 & 5 & 1 & 3 & 7 & 1 & 2 & ⋯ & NA & NA & NA & NA & NA & NA & NA & NA & NA & NA\\\\\n",
+       "\t3 & 2013 &  8 &  8 & 3 & 2 & 1 & 5 & 3 & 2 & 2 & ⋯ & NA & NA & NA & NA & NA & NA & NA & NA & NA & NA\\\\\n",
+       "\t4 & 2013 & 10 & 10 & 4 & 2 & 1 & 5 & 2 & 2 & 3 & ⋯ & NA & NA & NA & NA & NA & NA & NA & NA & NA & NA\\\\\n",
+       "\t5 & 2013 & 12 & 12 & 6 & 2 & 2 & 7 & 1 & 1 & 1 & ⋯ & NA & NA & NA & NA & NA & NA & NA & NA & NA & NA\\\\\n",
+       "\t6 & 2013 &  4 &  4 & 1 & 1 & 1 & 1 & 0 & 1 & 1 & ⋯ & NA & NA & NA & NA & NA & NA & NA & NA & NA & NA\\\\\n",
+       "\\end{tabular}\n"
+      ],
+      "text/markdown": [
+       "\n",
+       "A data.frame: 6 × 31\n",
+       "\n",
+       "| <!--/--> | ANO_CENSO &lt;int&gt; | NUM_SALAS &lt;int&gt; | NUM_SALAS_UTILIZADAS &lt;int&gt; | NUM_TV &lt;int&gt; | NUM_DVD &lt;int&gt; | NUM_COPIADORA &lt;int&gt; | NUM_IMPRESSORA &lt;int&gt; | NUM_SOM &lt;int&gt; | NUM_MULTIMIDIA &lt;int&gt; | NUM_FOTO &lt;int&gt; | ⋯ ⋯ | QTDE_TABLET &lt;int&gt; | QTDE_PROF_SERVICOS_GERAIS &lt;int&gt; | QTDE_PROF_BIBLIOTECARIO &lt;int&gt; | QTDE_PROF_SAUDE &lt;int&gt; | QTDE_PROF_COORDENADOR &lt;int&gt; | QTDE_PROF_ALIMENTACAO &lt;int&gt; | QTDE_PROF_PEDAGOGIA &lt;int&gt; | QTDE_PROF_SEGURANCA &lt;int&gt; | QTDE_PROF_MONITORES &lt;int&gt; | QT_PROF_ADMIN &lt;int&gt; |\n",
+       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
+       "| 1 | 2013 |  8 |  8 | 3 | 1 | 0 | 4 | 1 | 7 | 1 | ⋯ | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |\n",
+       "| 2 | 2013 |  5 |  5 | 6 | 5 | 1 | 3 | 7 | 1 | 2 | ⋯ | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |\n",
+       "| 3 | 2013 |  8 |  8 | 3 | 2 | 1 | 5 | 3 | 2 | 2 | ⋯ | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |\n",
+       "| 4 | 2013 | 10 | 10 | 4 | 2 | 1 | 5 | 2 | 2 | 3 | ⋯ | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |\n",
+       "| 5 | 2013 | 12 | 12 | 6 | 2 | 2 | 7 | 1 | 1 | 1 | ⋯ | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |\n",
+       "| 6 | 2013 |  4 |  4 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | ⋯ | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |\n",
+       "\n"
+      ],
+      "text/plain": [
+       "  ANO_CENSO NUM_SALAS NUM_SALAS_UTILIZADAS NUM_TV NUM_DVD NUM_COPIADORA\n",
+       "1 2013       8         8                   3      1       0            \n",
+       "2 2013       5         5                   6      5       1            \n",
+       "3 2013       8         8                   3      2       1            \n",
+       "4 2013      10        10                   4      2       1            \n",
+       "5 2013      12        12                   6      2       2            \n",
+       "6 2013       4         4                   1      1       1            \n",
+       "  NUM_IMPRESSORA NUM_SOM NUM_MULTIMIDIA NUM_FOTO ⋯ QTDE_TABLET\n",
+       "1 4              1       7              1        ⋯ NA         \n",
+       "2 3              7       1              2        ⋯ NA         \n",
+       "3 5              3       2              2        ⋯ NA         \n",
+       "4 5              2       2              3        ⋯ NA         \n",
+       "5 7              1       1              1        ⋯ NA         \n",
+       "6 1              0       1              1        ⋯ NA         \n",
+       "  QTDE_PROF_SERVICOS_GERAIS QTDE_PROF_BIBLIOTECARIO QTDE_PROF_SAUDE\n",
+       "1 NA                        NA                      NA             \n",
+       "2 NA                        NA                      NA             \n",
+       "3 NA                        NA                      NA             \n",
+       "4 NA                        NA                      NA             \n",
+       "5 NA                        NA                      NA             \n",
+       "6 NA                        NA                      NA             \n",
+       "  QTDE_PROF_COORDENADOR QTDE_PROF_ALIMENTACAO QTDE_PROF_PEDAGOGIA\n",
+       "1 NA                    NA                    NA                 \n",
+       "2 NA                    NA                    NA                 \n",
+       "3 NA                    NA                    NA                 \n",
+       "4 NA                    NA                    NA                 \n",
+       "5 NA                    NA                    NA                 \n",
+       "6 NA                    NA                    NA                 \n",
+       "  QTDE_PROF_SEGURANCA QTDE_PROF_MONITORES QT_PROF_ADMIN\n",
+       "1 NA                  NA                  NA           \n",
+       "2 NA                  NA                  NA           \n",
+       "3 NA                  NA                  NA           \n",
+       "4 NA                  NA                  NA           \n",
+       "5 NA                  NA                  NA           \n",
+       "6 NA                  NA                  NA           "
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Carrega CSV\n",
+    "options(warn = -1)\n",
+    "df = read.csv(\"../dados/escola_integers.csv\", sep=\"|\")\n",
+    "head(df)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2c7eca10-6c0b-427d-be50-c4bf3d224f2d",
+   "metadata": {},
+   "source": [
+    "## Limpeza de Outliers\n",
+    "Para limpar dados que se diferenciam drasticamente do resto do conjunto de dados é utilizado a remoção dos outliers."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "ee18ee6d-1dda-4c65-8347-f3b7e980e83c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Function to remove outliers using the IQR method\n",
+    "remove_outliers <- function(data) {\n",
+    "  # Calculate the interquartile range (IQR)\n",
+    "  Q1 <- quantile(data, 0.25)\n",
+    "  Q3 <- quantile(data, 0.75)\n",
+    "  IQR <- Q3 - Q1\n",
+    "  \n",
+    "  # Define the lower and upper bounds\n",
+    "  lower_bound <- Q1 - 1.5 * IQR\n",
+    "  upper_bound <- Q3 + 1.5 * IQR\n",
+    "  \n",
+    "  # Remove outliers\n",
+    "  cleaned_data <- data[data >= lower_bound & data <= upper_bound]\n",
+    "  \n",
+    "  # Return the cleaned data\n",
+    "  return(cleaned_data)\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7ca6c624-62c0-4fce-b3cd-c47d20c0b85e",
+   "metadata": {},
+   "source": [
+    "## Plot de Grafico\n",
+    "Funções para plot de gráficos"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "4c578156-afa1-4432-acb3-d6a143c0b349",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plot_ecdf <- function(x, x2){\n",
+    "    plot(ecdf(x),\n",
+    "         xlim = range(c(x, x2)), \n",
+    "         col = \"blue\")\n",
+    "    plot(ecdf(x2), \n",
+    "         add = TRUE, \n",
+    "         lty = \"dashed\",\n",
+    "         col = \"red\")\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "69c80406-3d20-408d-8fce-e4a7aea65dd4",
+   "metadata": {},
+   "source": [
+    "## Teste T\n",
+    "Utilizando o teste T é possível analisar se duas amostras de dados pertencem a mesma população de dados.\n",
+    "\n",
+    "Primeiro é selecionado duas amostras que foram agrupadas pelos anos do censo.  \n",
+    "Em seguida é feito uma limpeza dos dados fazendo a retirada dos nulos, outliers e os ordenando.  \n",
+    "Finalmente é executado o teste."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "a9629868-ef70-4073-856b-fa3cee413898",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "\tWelch Two Sample t-test\n",
+      "\n",
+      "data:  data1 and data2\n",
+      "t = -8.7591, df = 230942, p-value < 2.2e-16\n",
+      "alternative hypothesis: true difference in means is not equal to 0\n",
+      "95 percent confidence interval:\n",
+      " -0.02033538 -0.01289876\n",
+      "sample estimates:\n",
+      "mean of x mean of y \n",
+      " 1.286460  1.303077 \n",
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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WRo1y7bQwAAcbJpBAAQCWEHABAJYQcAEAlhBwAQCWEHABAJYQcAEAlhBwAQCWEH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\nQmCC",
+      "text/plain": [
+       "Plot with title “ecdf(x)”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Dados agrupados por ano\n",
+    "ANO <- df[\"ANO_CENSO\"]\n",
+    "\n",
+    "# Amostras\n",
+    "X <- df[\"NUM_DVD\"]\n",
+    "data1 <- X[ANO == 2013]\n",
+    "\n",
+    "Y <- df[\"NUM_DVD\"]\n",
+    "data2 <- Y[ANO == 2014]\n",
+    "\n",
+    "# Remove zeros\n",
+    "data1 <- data1[data1 != 0]\n",
+    "data2 <- data2[data2 != 0]\n",
+    "\n",
+    "# Limpeza dos dados\n",
+    "data1 <- remove_outliers(na.omit(data1))\n",
+    "data2 <- remove_outliers(na.omit(data2))\n",
+    "\n",
+    "# Verifica variancia\n",
+    "if ( (var(data1)!=0) || (var(data2)!=0) ) {\n",
+    "    # Ajusta dados em histogramas\n",
+    "    data1 <- hist(data1, breaks=100, PLOT=FALSE)\n",
+    "    data2 <- hist(data2, breaks=100, PLOT=FALSE)\n",
+    "    data1 <- data1$count\n",
+    "    data2 <- data2$count\n",
+    "    \n",
+    "    # Executa teste KS\n",
+    "    print(t.test(data1, data2))\n",
+    "\n",
+    "    # Plotagem dos dados\n",
+    "    plot_ecdf(data1, data2)\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b6c8c14d-5101-4201-b172-28e5b17016df",
+   "metadata": {},
+   "source": [
+    "## Teste T - Anos subsequentes\n",
+    "Execução do teste T entre uma coluna de um ano contra todas as colunas dos anos subsequentes para todos os anos do csv."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "9aa86d14-0e60-4945-9d5f-d058b3c45654",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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/UkrXzNpu868Ou4LtUKujyfX6A45gls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\nAEAShB0AAIAkCDsAAABJ/B/zGXUaL2P97wAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "Plot with title “Histogram of data1”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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QcAACAJwg4AAEAShB0AAIAkCDsAAABJEHYAAACSIOwAAAAkQdgBAABIgrADAACQ\nBGEHAAAgCcIOAABAEoQdAACAJAg7AAAASRB2AAAAkiDsAAAAJEHYAQAASIKwAwAAkARhBwAA\nIAnCDgAAQBKEHQAAgCQIOwAAAEkQdgAAAJIg7AAAACRB2AEAAEiCsAMAAJAEYQcAACAJwg4A\nAEAShB0AAIAkCDsAAABJEHYAAACSIOwAAAAkQdgBAABIgrADAACQBGEHAAAgCcIOAABAEoQd\nAACAJAg7AAAASRB2AAAAkiDsAAAAJEHYAQAASIKwAwAAkARhBwAAIAnCDgAAQBKEHQAAgCQI\nOwAAAEkQdgAAAJIg7AAAACRB2AEAAEiCsAMAAJAEYQcAACAJwg4AAEAShB0AAIAkCDsAAABJ\nEHYAAACSIOwAAAAkQdgBAABIgrADAACQBGEHAAAgCcIOAABAEoQdAACAJAg7AAAASRB2AAAA\nkiDsAAAAJEHYAQAASIKwAwAAkARhBwAAIAnCDgAAQBKEHQAAgCQIOwAAAEkQdgAAAJIg7AAA\nACRB2AEAAEiCsAMAAJCE+bAznP60Xf0XRs9acehanNFKIwIAAMATsTBj5+KuXtm68L2+TSuU\nKNfk5QlfbTgRmmydgQEAACB3zIedNmDUjts3gzcseLdvPccz6z4b261e6RKBrQdP/mHn+chU\nKw0RAAAAOWH5HDvnErVfGDlz6b5LoTeObwh696WaxuNLpw1pW9XXrzYHaQEAAPKPXFw84exb\n54VRM5ftuxR648iPoxt5Pji1acGjg7RBv5+PJvAAAABsSJeLfY1x1//asXHD+g0bthw8/0Cv\nKk7Fn2neIjD5+I61n41Z/fmc7t/uWjmookOejVWo8dcOrV/1284/Tp2/GhYZG6/XOLsX9ikb\nWKNByy69e7Wq5ME1vgAAoADLQdglhZ3au2nD+g3rN+3+OzRRFVq3Mg26jOneo0f3Ts8FeGqF\nUOOv7/9+/OC3f5swbeuLS15wy5OBGkN3Th342qxdN5NVIRSto4urq5PWEH7n6oXTx/dvWh40\n9f2Go79dMbubfx6GJQAAQH5mPuyM137u23rc2isxBlVxLFql6cBB3Xv06NamTkkXxWQvpZB/\n81ETen+9Yf61K/eNwi0P5s30/8zq1n1asGuDQbPeGNipaZ1Kvu4OihBCqClx4Vf+ObJ9ZdBn\n333Rp5v7gSMf13d5+t8fAAAg/zMfdmrMzRuGwC4ju3fv3r1z08pFsp8N05Ts8B1NEnEAACAA\nSURBVN6XAX4dSufJ0dCEXV98eVw0mbl31zvVnB57RHFw8wls3D2wcdce9XvVHfRN0K4Ji7vk\nzZwhAABA/mY+7LTV3j9w5SOdYnYnIYQQGr9mr77e7CkNKiPDrX/PPNDWea93Fads99H49ezb\n/PXfL5y7Y+hSSZtHAwEAAMjHLEywaXU6JfXO/q9Gd2n43MQDKUIIIQxnZz5Xqlqb4V8cuGul\nW9lp3D3dNcawO6EGMzsZ798NS1Hc3PPiSDAAAIAdsFRB6oMto5u1Hbdw69lYrWPaJsW9bGDR\n8AOL3mzbbOTme2qeD1EIxadt18ZOl78Z+97ma0lZ7pEadmjO8E8OaWq3a+mTg/lFAAAACVm4\nKtZwOmjij1e82s/dsuKNOp5pyaQp3eeHU13e/KZ/uzE/vf/V6+0/rp2be6Y8EU25oV/O3Nz6\nzfkvBC6r1qxV0zqV/Ut4uTnpjPr4qLAbl/45snvPidvJXs/P+GpUIIdhAQBAAWXhqti7B/ef\nU6tOmDHmYdWlU9yqD5s+YtGW6QcO3TXWzpsrJh7jVH3MxmNVvpz08YK1u1f+u/OxeUJFU8iv\nQd9pE6e81SXANc9HAgAAkE9ZuCo2IS5e1RQv6ZPFNJimmI+3Ro1OSLDGwVghhHAs3frtn1qP\n//r+lbP/nr8WHhWXkKpxdivs41+pWrWKxV04AgsAAAo4C1fFlqxcycPw+5btd4YPKvX4tJwa\numNrcKpbu4olrXvsU3H2rlCneYU6Vv2mAAAAdsDC6XFurYe/WnHV/HEdB8fP+2hg8woeWiGE\nmnjr6C/Tx47fGF1m+KDW7lYZpxCCJcUAAADMsXTdQ6Hnpq358toLby4Z03rJG65FShT30CY9\nCA2L0QudT4tpv3za2sMqw2RJMQAAAEssz3G5VB+x5u+/N3/5dr82NUu5aYSDV0CjbiOmL/vj\n9Pb3G3pY6cy2tCXF9ibVGjRrxb5/b0cnJsXHREZExsQnJcaEnj/86xejmzqd+KJPt2nHEq0z\nIAAAgHwnR3cqUTwCO46Z03FMXg8mWywpBgAAYFGOwi4l+saFC7eiUzJf/6oUKlOrVum8vscI\nS4oBAABYZins1Kijn/V96cNtN/VZ3tVEV3NKcPDkGnkcUmlLit24E2oQ/tkeO2ZJMQAAUMBZ\nCLvU4DlDJm6741H75SG9GpbxyLS3xrtBqbwPqbQlxcZ9M/a951fN6FzWOYtxhh2aO/yTQ5ra\nM1lSDAAAFFQWVp64cXD/ZbXs8NX7FrSy4m1NMmFJMQAAAIvMh50h/G640alus0a2rDohBEuK\nAQAAWGRh5YnivsU1KddCrhtEFZvPhLGkGAAAgDnmw05TbsAHr33bY+6omU1XT2zinR8uS2BJ\nMQAAgKyZDzv1QUhkpR4dinw+qVnAzw2a1KvsX6zQYzN32lIdJ0zoUNJKxceSYgAAANmzcPHE\nnW2z35l5KlUIkRhydEvI0UxPr+k9+J0OJfNqdKZDYUkxAAAAsyycY1f1rZ3Xh2R9CzshhBCK\no0dxa5x8l7akWLBrg0Gz3hjYqWmdSr7uDooQQqgpceFX/jmyfWXQZ9990aeb+4EjH9d3scKA\nAAAA8h0L97HTuRcrafMrYllSDAAAIAdytKSYSLy2Z9ni3w6dvhYW59t34dcvJmxdH1G9a9Oy\nVrq5SB4uKXbr1q1evXqlpqaa2ScuLk4IoarZT1wCAADkA5bDLuXy0sGdXl9+MV4VQghdzUZx\nxsQT3wwavLtUj8/XLxn+jBXiLg+XFCtWrNiwYcPMh11ISMjs2bMVhRuqAACAfM1S2CX9NbXn\nsOU3S3aaPHNiL9eVPV/cL4Ti2f69Of2uv798zEvla5yY3SiLJb6erjxcUszJyWnw4MHm9zly\n5Mjs2bNz81UBAABswELYJe75dtEZXdO5234bV1GXenyTVgghFG2J58Ys/t3pfo2RP3+3e2qj\nTnl+tQJLigEAAFhkYUmxG6f/jdTW7dm9Qqb9NH6dutTR7j535qahUy7OaXtSLCkGAABggfmw\nUxydHBWh16dk9WByUrJQdDqdtU49Y0kxAAAAcywsKVaqfn0/w8LlP594fVq9xyfDkv5esjzY\nUPy1WqWsu9wDS4oBAABkzcI5do4NR09os3jkzPbNwyZ9ONAnKkU1psTfv3J4xzeT3pt/Utdg\n5uvPZ38HkqeOJcUAAACyZ+mqWG35YcvWP+jf7+Pvx3VdJIQQYkbjEjOEULRF6o/9ZdXb1a21\nghdLigEAAJhn+T52StHnJ2453//w+rVbDp26Ehab6uTlV7lBm54vtq9WxGpXoLKkGAAAgCU5\nW3lCcS3zXN+3nuubx4PJFkuKAQAAWGQh7PSRt25FJGe/lpbiVMTPz8vxKQ8qozxcUgwAAEAa\nFu5jd/7LznWnnMp+vS1dzSnBwZNr5HFI5eGSYgAAANKwcB+74s8Nfve9uwbTbWpy5I1zR3fv\nPn3PqfrAKR/3KJP3IZWHS4oBAABIw8J97Eq0Gju9VRYPGKNOLhjY6c1Vi48MHfFC3ozssXGw\npBgAAIAlObt4IhNN4dqj5o9fWXXCjz8d/LhJ+7w+yY4lxQAAACx6wrATQmhKlivjqNx0cWZJ\nMQAAgPzgycMu7ujeY4nashXKWvfYJ0uKAQAAZM182Kn3jy5beiTcmHG7If728fWLf72iqdKn\nqZ+1rkKNO79mziff/3741E2DT812gydOGtm8lMkyE6knZrbru8R11Pr1YzjPDgAAFETmw854\nZ8fcCdnc7kRx8u/06Q9v137yOb/cSDo1t0vLCfsiVEfP4u4p/+767s39O44s2rlsYMDDtlOT\nHly/fNktItkq4wEAAMh3zGeZtuKwFX92Tsh8g2JF5+4bUMG3kJWmxozXfxw/eX9s+T4/rPtm\nUA23hJt/rZo6bOxPowfVr7vn7WqsDgsAACAsnmPn4luljq91RmKG+mD35iNJvn3nLRxUw0MR\nolDphoO/WZd4vcG46W//3Pv3oVa4lR4AAEC+Z+Ecu8iTG9afeJDpHLssacu26N+qfF4cmTXe\nDw1P1VVrVN/zv0tfdRWHzR3/87NTZszY+dK37Tzy4LsCAADYFwvn2N3cOGWYuSXFTDl1+rlr\ny/JeeXDbEU3hIoU1hhtXb6SKEv8dd3WoMW7W0MXtvnt31uCmM551efrfFjaVmpo6YMCA+/fv\nZ9ju5OS0YMECf39/m4wKAID8zMI5dlXf3roj5YUXPjmhrdL51YEvNK5a0kMTf/fskQ2Lf9p8\n0b3DlPnjni38sOQ0RasUypubySnFmzStrEz9cco3A9aOqfbfPYjdW0z54pWNL8wb/HaTPV+1\nyZNvDZuJiYlZuXJl9+7dvby8TLcvWbLkzJkzhB0AAJlZOHKqidryWdBJ966L9q8cXNHp4dZO\nvQaNG/lTn2bDF6wfNHRJj2J5fm9gbfURU/r+8OKScQ2qrGjf7vkXRk59pZazEEIp0uHTb0f9\n2SOoR/2z/VqkRqvCLa+HAuvq379/pUqVTLf88ssvthoMAAD5nPnLDtSIHb/uja86ZPLA/6ou\njWPAwMnDqt777eetEZmvmX36lOLdvt27enyr4g/+/G3RF2tPJT56wLvd/F0bJjYxHv1pyaH7\nOTsZEAAAQEoWzrG7H3YvVePl7ZVF/ylFvIso+tA794yiqDXueuJUvvucnd0+vhdy8Vqqr7vJ\nAxqf1tN2XXr9xN5dh/++bKznzdpiAACgYLJwjl0J/zIuqTs2b705eoT/43FnvL11c3CqQ1Nf\nb2vea0RxKRZQs1hW20vW7TiwbkcrDgUAACCfsVBlnu1f6VEyYdeErsN/On4v5eHWlHvBi1/v\nOn57XOG2vdsWZYYMAAAgP7Bw8YTi1XnusomXen7yw+AGS8b7V67k5yFibl08fz1SL1wqDfz+\ni76+dB0AAEC+YPE4qlKk2cd7/9m/6L2+z/uLu+dOHP/3RpJ3rY5DP1l7/NhPvctYaU0xAAAA\nWJKjhSIcSjZ5bWaT12bm9WAAAADw5HK2AljitT3LFv926PS1sDjfvgu/fjFh6/qI6l2blnW1\n/FQAAABYh+WwS7m8dHCn15dfjFeFEEJXs1GcMfHEN4MG7y7V4/P1S4Y/Q9wBAADkC5bOsUv6\na2rPYctv+nSavOrI6U1jK+mEEIpn+/fm9AsI+3XMS1OOJlljlAAAALDIQtgl7vl20Rld05nb\nfpvSu1HlEoW0QgihaEs8N2bx7/PauV78+bvdiea/AgAAAKzDfNgZbpz+N1Jbt2f3CpkO2Wr8\nOnWpo406d+amIc8GBwAAgJwzH3aKo5OjIvT6lKweTE5KFopOp+NGdgAAAPmB+bDTlKpf389w\nYvnPJxIyPpT095LlwYbiNWuVsuaSYgAAAMiOhSpzbDh6QptCp2a2bz7sy41/hESlqMaU+PtX\nDi+d0KnLjJO6BqNff97JOgMFAACAeZZud6ItP2zZ+gf9+338/biui4QQQsxoXGKGEIq2SP2x\nv6x6u7pD3o8RAAAAOWD5PnZK0ecnbjnf//D6tVsOnboSFpvq5OVXuUGbni+2r1aEBcUAAADy\nDfNhl3pievMXvi/72cmlLz/X963n+lppUAAAAMg98+fYactXLp10+89j57K8LBYAAAD5iIXb\nnRTuNmN+T8Oy92cdiTBaaUQAAAB4IuYPxaoRp04kPT+w1ddzmlVY2qhl4+qlixZyMG1Bbcm2\n48a18eWOJwAAADZnPuyMtzZPHznlVKoQQsQe/PXSwUxPr+nWd2wb3zwaHAAAAHLOfNhpq7yx\nNeRVvZrtDopjYV8ujQUAAMgPsg67iIhoV09PZ61w8PQt42nlIQEAAOBJZH12nE+JNp9fMvz3\n/4a4e3fu3ItNtdKgAAAAkHs5uuzBePWbrmX928w7a7C8LwAAAGyD61kBAAAkQdgBAABIgrAD\nAACQBGEHAAAgCcIOAABAEtncoFhNunf14gUlPfuM1+8lCpF8/9qFC06P345YcfYu61/UMY8H\nCQAAAMuyCbvU0/M6Vp2XYWNQ12pBGZ9ec0pw8OQaLD4BAABgc1mHXafOnXN2yzptuUoeytMc\nDwAAAJ5Q1mG3ftMmK48DAAAA/ycungAAAJAEYQcAACAJwg4AAEAShB0AAIAkCDsAAABJEHYA\nAACSIOwAAAAkQdgBAABIgrADAACQBGEHAAAgCcIOAABAElmvFQtkZ9++fdu2bcu8vVGjRl27\ndrX+eAAAwCOEHXJn8eLFO3bsqF69uunGy5cvBwcHE3YAANgWYYdcq1+//vTp0023BAUFhYSE\n2Go8AAAgDefYAQAASIKwAwAAkARhBwAAIAnOsQNEfHz8+fPnM2/38fHx8/Oz/ngAAHgyhB0g\n5s2bN2nSpMzba9SocerUKeuPBwCAJ0PYAUKv1zds2HDRokWmG1evXr1mzRpbDQkAgCfAOXYA\nAACSIOwAAAAkQdgBAABIgrADAACQBGEHAAAgCcIOAABAEoQdAACAJAg7AAAASRB2AAAAkiDs\nAAAAJEHYAQAASIK1YgGrun//fkxMTIaNiqL4+/trNPxDCwDwfyHsAKuqWrXqvXv3Mm9funRp\n//79rT8eAIBMCDvAqhISEqZOndqgQQPTjUOHDo2Pj7fVkAAA0iDsAGvz9vb28/Mz3aLT8ZMI\nAHgKOKcHAABAEoQdAACAJAg7AAAASRB2AAAAkiDsAAAAJEHYAQAASIKwAwAAkARhBwAAIAnC\nDgAAQBKEHQAAgCQIOwAAAEkQdgAAAJIg7AAAACRB2AEAAEiCsAMAAJAEYQcAACAJwg4AAEAS\nhB0AAIAkCDsAAABJEHYAAACSIOwAAAAkQdgBAABIgrADAACQBGEHAAAgCcIOAABAEoQdAACA\nJAg7AAAASRB2AAAAktDZegC5po+8du7f81fDImPj9Rpn98I+ZQOrVa1QzFmx9cAAAABsy47C\nLuXuga+nTA1atf9ytEE1fUDRupV+tvuID6a80bG8i61GBwAAYGv2EnbJZxZ2bzN2W6jGK/D5\nnr3rVPYv4eXmpDUkx0eF37x06ui+g8s+6LJ1x6fbt7xTh7YDAAAFk32EnfHqojETtsfVGvPr\n6k+7ZTUrp7+7b/aA3lMmj1nY9cD4SlrrjxAAAMDm7OLiCTVsx4YjyQEjguZkWXVCCEff5hMX\nTWxkCN66O0zNcg8AAADZ2UXYGWOjY42aEn6+5uYXNSVKl3JU42LjjFYbFwAAQH5iF2Gn9ate\nragheN3ai/ps9zHe3bD6QJJHpcCSHIgFAAAFk12EnXBtPXZMPfXge82bD5u37sjF8ETDo4eM\nyRFXj2/+enyHxoPWRFYdNrKtmw3HCQAAYEP2cfGEcKz57q9r4/oNmfv9+F6LxiuKztnDw81J\nZ9THx8Yk6I2qUHTe9UcvWzm5IdfEAgCAgspOwk4IbckOn+w+N3jvulUb9vz5z/lr4VFxCaka\nr+Jla/gHPtOgRZfeL7ap7Gkf848AAAB5wm7CTgghNB4BrQZ90GqQrccBAACQH9lV2AkhWFIM\nAAAgG3YUdiwpBgAAYI69hB1LigEAAFhgH2HHkmIAAAAW2cV1pCwpBgAAYJldhB1LigEAAFhm\nF2HHkmJAvvbKK69UyCQgIGDVqlW2HhoAFCz2cY6da+uxY+qt/PC95s0vTBj/aufna1co7pLe\nb8bkiOunj2xb8dXshTsjq77PkmKA9f35559VqlSpV6+e6cYlS5acOXPGVkMCgILJPsKOJcWA\nfK5u3bq9evUy3bJt2zZbDQYACiw7CTuWFAMAALDEbsJOCJYUAwAAMMeuwk4IwZJiAAAA2bCj\nsGNJMQAAAHPsJexYUgwAAMAC+wg7lhQDAACwyC7CLn1JsbFBc7qVd8xyj7QlxbZXfm/r7rC3\nKpXM+fl2er1+xYoVycnJZvYJCQnJ5YABAABswC7CLhdLil2LjTMKkfMpu7CwsFmzZpkPu6Sk\nJCGEqrIILQAAyNfsIuzSlhRbtW7txRHjK2c9ZfdwSbHWuVxSrHTp0mfPnjW/z5EjR5o0aaIo\nXHcLe3Lo0KE333wz8z9I/P39161bZ5MhAQDyml2EHUuKAbl25syZkJCQV1991XTjlStXtm/f\nbqMRAQDynH2EHUuKAU/A09Nz8ODBplsOHDiwa9cuW40HAJDX7CTsWFIMAADAErsJOyFYUgwA\nAMAcuwo7IQRLigEAAGTDjsKOJcUAAADMsZewY0kxAAAAC+wj7FhSDAAAwCK7uI40fUmxEUFz\nsqw68XBJsUaG4K27w1ggAgAAFEx2EXa5WFIsLjbOaLVxAQAA5Cd2EXZpS4oFr1t7UZ/tPulL\nilXK5ZJiAAAA0rCLsEtbUkw9+F7z5sPmrTtyMTzR8OghY3LE1eObvx7fofGgNZFVh7GkGAAA\nKLDs4+IJlhQDAACwyE7CjiXFAAAALLGbsBOCJcUAAADMYY4LAABAEoQdAACAJAg7AAAASdjD\nOXZq7M2zVyNSc7KihOJSolIlH+c8HxIAAED+Yw9hl3JocrPOPz3IyYoSuppTgoMn1+AexQAA\noACyh7BzbPfF8X3Nvp46cd6eO8bCdXr2aeyT3RFkbakG3opVBwcAAJBf2EPYCY172edfmfVr\n0XtVui51b/P2F582sIthAwAAWJUdXTzh0bpnGy+m4wAAALJhT1NfjjU69uvgUMmTuAMAAMiC\nPYWdpnTvLzb0tvUoAAAA8ik7OhQLAAAAcwg7AAAASdjToVgAsJqUlJS4uLjM2z08PLRa7pUJ\nIJ9ixg4AstCnT58iWRk/frythwYA2WLGDgCyEB0d3aNHj5deesl048KFC6Ojo201JACwiLAD\ngKwVK1asatWqplsKFy5sq8EAQE5wKBYAAEAShB0AAIAkCDsAAABJEHYAAACSIOwAAAAkQdgB\nAABIgtudALAbcXFxK1euNBqNGba7u7v36dPHJkMCgHyFsANgNw4ePDh8+PDKlSubbkxOTg4J\nCenQoQM3mQMAwg6A3TAajU5OTqtWrTLdeOHChV69eqmqaqtRAUD+wTl2AAAAkiDsAAAAJEHY\nAQAASIKwAwAAkARhBwAAIAnCDgAAQBKEHQAAgCQIOwAAAEkQdgAAAJIg7AAAACRB2AEAAEiC\nsAMAAJAEYQcAACAJwg4AAEAShB0AAIAkCDsAAABJEHYAAACS0Nl6AAAAKwkKCpo/f37m7S+/\n/PKMGTOsPx4ATx1hBwAFRXBwsLu7e7du3Uw37tmz56+//rLVkAA8XYQdABQgZcuW7dWrl+mW\n0NDQkJAQW40HwNPFOXYAAACSIOwAAAAkQdgBAABIgrADAACQBGEHAAAgCcIOAABAEoQdAACA\nJAg7AAAASXCDYgCwpejo6FGjRun1+gzbHR0dFyxY4OnpaZNRAbBTzNgBgC1dv359+fLlTk5O\n7iacnJyWL19+/fp1W48OgJ1hxg4AbG/EiBGmk3PR0dHLli2z4XgA2Clm7AAAACRB2AEAAEiC\nsAMAAJAEYQcAACAJwg4AAEAShB0AAIAkCDsAAABJEHYAAACSIOwAAAAkQdgBAABIgrADAACQ\nBGEHAAAgCcIOAABAEoQdAACAJAg7AAAASRB2AAAAkiDsAAAAJEHYAQAASEJn6wEAACQUEhIS\nFRWVYaOjo2P16tUVRbHJkICCgLADADxlcXFxgYGBBoMh80N79uxp0aKF9YcEFBCEHQDgKdPr\n9QaDYfHixQEBAabbW7ZsmZiYaKtRAQUBYQcAyBNubm4eHh6mWzgIC+Q1Lp4AAACQBDN2AAA7\nduzYsR9++EFV1Qzb69atO2zYMJsMCbAhwg4AYMc2bty4du3aunXrmm68efPmgQMHCDsUQIQd\nAMC+VaxYce7cuaZbVq9evWbNGluNB7AhzrEDAACQBGEHAAAgCcIOAABAEpxjBwBAjkRERGRe\nJ02r1ZYuXVqjYaIE+QJhBwBAjlStWjUsLCzz9mXLlvXr18/64wEyI+wAAMiRuLi4qVOnNmjQ\nwHTj0KFD4+LibDUkIAPCDgCAnPL29vbz8zPdotPxmxT5COcEAAAASIKwAwAAkARhBwAAIAnC\nDgAAQBKc8gkAQP5y9+7dZcuWGY3GDNvLlCnTp08fmwwJ9oKwAwAgf9m0adNHH31UoUIF041x\ncXERERGEHcwj7AAAyF9UVfX19V21apXpxgMHDkyYMMFWQ4K94Bw7AAAASRB2AAAAkiDsAAAA\nJEHYAQAASIKwAwAAkARhBwAAIAnCDgAAQBKEHQAAgCS4QTEAAAVX8+bN9+/fn3l7UFDQqFGj\nnuI3unPnzrRp0zKvk+bm5jZnzhyNhpmmp4OwAwCg4AoNDR0wYEDTpk1NN86bNy8sLOzpfqOT\nJ08uWrSoe/fuphujo6N37tz54Ycfenl5Pd1vV2ARdgAAFGjlypVr2LCh6RYPD4+8+EaOjo6T\nJ0823XLhwoWdO3fmxfcqsJj5BAAAkARhBwAAIAnCDgAAQBKEHQAAgCQIOwAAAEkQdgAAAJIg\n7AAAACRB2AEAAEiCGxQDAACpxMXFhYeHZ95esmRJZ2dn64/Hmgg7AAAglX79+m3cuDHz9pEj\nRy5YsMD647Emwg4AAEglISGhT58+AwcONN04b968hIQEWw3Jagg7AAAgGw8PDz8/P9Mtrq6u\nthqMNXHxBAAAgCQIOwAAAEkQdgAAAJIg7AAAACRB2AEAAEiCsAMAAJAEYQcAACAJwg4AAEAS\nhB0AAIAkCDsAAABJ2NWSYmr8tUPrV/22849T56+GRcbG6zXO7oV9ygbWaNCyS+9erSp5kKkA\nAKAAs5uwM4bunDrwtVm7biarQihaRxdXVyetIfzO1Qunj+/ftDxo6vsNR3+7YnY3fwdbjxQA\nAMA27GSOS//PrG7dp+1NqjVo1op9/96OTkyKj4mMiIyJT0qMCT1/+NcvRjd1OvFFn27TjiXa\neqgAAAA2Yh8zdgm7vvjyuGgyc++ud6o5PfaI4uDmE9i4e2Djrj3q96o76JugXRMWd3Gz0TAB\nAABsSVFV1dZjsMhwcXaT6h85zrm4b5x/9lOMCWtfKt7v+qTThydU0ub4S1+9evXZZ59NTU01\ns09qampsbKxer3dweArHeYcMGbJkyRIXFxfTjQkJCYqiuLk9lqQpKSnJyckZNhoMhoSEBHd3\n9wwbY2Ji3N3dFUV5tFFV1djYWA8PD632sfcjNjbW1dU1w8a4uDgnJ6cMLzAhIUGn0zk6OmbY\naDQan+74jUZjXFych4eH6UZVVaOiotzc3DSaxz70mJgYNze3DEPN+fiTkpKEEM7OzqYbExMT\nU1NTXV1dM+xpMBgyjCrn43801Azjj4qKcnFx0eke+zdVbGysi4uLk9Nj/2zJ+fiTk5MNBkOG\n8ScnJyclJWV4//V6fXJycuHChZ94/Fn++YmJiXFwcMgw1NjYWGdn5wxDzfn4s/zzk5KSEh8f\nn/nPf3x8fOHChU3//Odq/Fn++YmLi9NoNBk+lPj4eJ1Ol/mtzuH4+fnl5zfz+Pn5tdrPb2Ji\n4sCBA7///nshNbuYsdO4e7prjDfuhBpE9mFnvH83LEVxc3fL1dFlf3//1atXmw87VVXDw8Of\nStUJIaZNm/byyy9n2BgbGxsfH1+iRAnTjcnJyeHh4aVLlzbdmJqaeuPGjfLly2cYYUhISEBA\nQIYve/ny5QoVKmT4ably5Yq/v3+GH4wbN274+Phk+BkIDQ0tVKhQhh/CiIgIIUSRIkUYP+Nn\n/Iyf8TN+Oxq/EKJatWpCdnYxYyeMV4NaPzMuuNoby1fN6FzWOfMOqWGH5r764gf7ys78+9A7\ngTmfsAMAAJCHfYSdEMn/ftW19Zs7wrXFqjVr1bROZf8SXm5OOqM+PirsxqX/tXfncVGWCQDH\nn3dmgAEsRASRIdACKY8ST9RNWRVXinZXLdPUVtAkW3dtzc0k00TT1rRjFfXjkWV+3NXV7LK8\nS0TzSgTMi0M5VpMjETlkjvfdP3ADFBN30xmf+X3/0pl5+Dzz+QzP/OZ9xMkjfwAADWxJREFU\nXt5J37dz15F/V3s/+sbWLa908bj5TwMAAJDQ3RJ2Qghz/o6/T09M2rA3t1ytN2dF5xnY7ffj\nEl6f9EQIVQcAAJzWXRR2NbQrxTnHj508W1haXmnVGZs0bRHcpl27UD935eZjAQAAZHbXhR0A\nAAAadpdcoBgAAAA3Q9gBAABIgrADAACQBGEHAAAgCcIOAABAEoQdAACAJAg7AAAASRB2AAAA\nkiDsAAAAJEHYAQAASIKwAwAAkARhBwAAIAnCDgAAQBKEHQAAgCQIOwAAAEkQdgAAAJIw2HsC\ngINKSEiYO3euvWcB4C4wderUOXPm2HsWgBCEHXAjJpMpODh448aN9p4IHMjMmTOFEDNmzLD3\nROBAhgwZYjKZ7D0L4CrCDmiYwWAwGo2dO3e290TgQHx8fIQQvCpQl9FoNBh4M4Wj4Bw7AAAA\nSRB2AAAAkiDsAAAAJEHYAQAASIKwAwAAkARhBwAAIAnCDgAAQBKEHQAAgCQIOwAAAElwsWyg\nYa6urq6urvaeBRwLLwlcj7UCDkXRNM3ecwAckdlsLiwsDAwMtPdE4EAuXrwohPD29rb3ROBA\nCgoK/Pz8aDs4CMIOAABAEpxjBwAAIAnCDgAAQBKEHQAAgCQIOwAAAEkQdgAAAJIg7AAAACRB\n2AEAAEiCsAMAAJAEYQcAACAJwg4AAEAShB0AAIAkCDsAAABJEHYAAACSIOwAAAAkYbD3BAAH\nYz6ffuD0RbX+jYprQIeIUG/FPlOC/VTsnhO74t6pqyaEN7BYqhXnT53Mq/QIejCspSefkp2G\nJXXRmDfKxqxJ6GOsezNLBxwDYQfUYz2xdGTfxAxr/Vt1/vFbcpdGudpnTrAXrejzRW9/vGfw\nWPXae2znts+Of2H+l9nlqqbomtz/2F+XLpvWvyV15wTKdy9fsHZzePQ1iwRLBxwEYQfUY8nJ\nzLW5tn/65ScfqvPboTTp/IDefpPCnadVF32/bfFLf/m4RPO97s6qQ4m/HTQrvWnkhLdH92hW\nsm/V/CWv//53SvKe1zq52WGuuFMsF0/v/jBh3Ipcmz78uvtYOuAYCDugLlt+Zk6VvvXjk2bM\n6MZvh7My75r08OCk02VmTRMNnIms5n2QsOCIrfPML756raObEGLY0D7NevVMfOvVj+I2jzVx\n1E5K1tQ5fQbM2l9yRdWEEOK6WGPpgKPg9QfUZTuTecZm6PpQCB+ynZg+OGrCdFO1JtQftr/3\nzvZrNtfUgs/W76l07/v8uEf+e3jOGB4f32fe89/887NzceMDKTsZ6Vr0ikuYPVgVWtm3y+Zs\nzL/2fpYOOArCDqhDLczKLlUCTNrX8/+0YfexgnKjqUPkU+PiB3Voyru189A/ED1hUrQQwnas\ncu1728/Xv9ecfjjDYmjTo3vz2jPiFd/uPUL1O9IOZ1hEILuxMtIF9Bnzlz5CCO380i1/uy7s\nWDrgMHjFAXXYck7n2NQzy+OeTvzk++LKsrMHNiVNfaprp+EfZlrsPTc4Bu3HgoJyVRcYVG/P\nVW+6L0CvXs7Lu6jZbWawI5YOOAzCDqillWVnXVD1/v1nf3M2N33/gbSzhfnfzIy8J/dff3xu\nSZbN3tODI1AryytURefu6V73EhaKu6eHIrSK8grCzhmxdMBxEHZALcXnD59culKZvzXhVz41\nvxsGv96vrpzWy61y34frTrE8QwjFYHBRNM1mrX8JFKvVKoTQ6znDyimxdMBxEHZAXToXV1cX\nfb2rieru6x0Zordmn8q23mgUnIji1cxLp6ilF0vrHptTS38sVRVdU+97uRStc2LpgKMg7IBa\nlvKSwsKS8mvPidEpilCM7kbesiGE0iQ0LFBnyz6ZVffd2ppzKseqM4WF3sOrxBmxdMBxEHbA\nT7SSf4xo5R84cGFW3V02tSA5Octm7NTtYRe7zQwOxOWRfr2ba//esTWt9m3cnLpl5w/Ct0+/\njrxInBFLBxwIYQf8RGkRM3Kgj/nb2WNmfn3eLIQQwnxu16zYxGRL8KiJT/rxsRtCCOHR9/m4\nh5STS6a8l1YhhBDa5SNvT1mWqbSNe76vh70nB3tg6YAD4Tp2QC2l5fBFqw6eGZGU2K/1oqDW\n/oaSs2eLqxT//nPWzRvgxeKMGm5dE96fkRI9/eWINmsi2noVpR84XtKk9+xVCV25hJ2TYumA\n41A0jT/OB+qpLkj55wfrtn+XXVTt5v9gzyeeHTOoYzP+2NEZqWdWx4/7sGTg39a/1OXaT8HV\nubveX7pmR/q5K+6mR6JGjY+NvI9vencGWslnfx3+TkbEtE8S+7nXv4ulA46AsAMAAJAE59gB\nAABIgrADAACQBGEHAAAgCcIOAABAEoQdAACAJAg7AAAASRB2AAAAkiDsAAAAJEHYAQAASIKw\nAwAAkARhBwAAIAnCDgAAQBKEHQAAgCQIOwAAAEkQdgAAAJIg7AAAACRB2AEAAEiCsAMAAJAE\nYQcAACAJwg4AAEAShB0AAIAkCDsAAABJEHYAAACSIOwAAAAkQdgBAABIgrADAACQBGEHAAAg\nCcIOAABAEoQdAACAJAg7AAAASRB2AAAAkiDsADit6nNpe5IPZpdp9p4IAPxCCDsAzkq9sHFi\n/77DkzKsjXt8VXF+Xl5R5f+QgdZL+SdSD+w//H1+me3WRwNAoxF2ANAo1dtebNcq7LlN5bcy\nSC3e9+6ozqYWwW07RfTo2j7Y1xTx3LLUSxwjBHB7GOw9AQCQljl9weDHXkmx3P/Y5FeHdfWt\nyvrmo4WrVo6PyrN9u3l8KOsvgF8cCwsAZ2IuyT6eXax539821NeloQeoFeezMvOKqwxepgfa\nBDW9+hjLDxn7jx27YBNqycmU3XtMbbo/3NL154cIoZV++sbcveUBI9anrB7cQhFCiOFxz0QM\n7jL2i8Q3tz+7Mtrz9j5XAE6IrVgAzkErPbRoZEd//9Dw7hGdwgICwmNXZlTU3RLVLh9dMa5n\noI8pLDyiV88u7Vv5tQwfufjIZU0I7cfPJ0dFTdtRqZlTZj8WGTXp0xLtJkOEELZTh49eVgJ+\nFxdTU3VCCKEPfnr0gHu04oPfZjbyzD4AuAUcsQPgDKyZS4YOnLjjUvOI0a+PeDSw+uTmFUkv\nPOPiYRXNax6glWwaHx2/tizkiSlTn+xscrt8Zu+ad5esnTgisEv6m918h390OvLTiZ3iv+rx\nznfLB/n6+Ck3G+IihDG0/6jYgJh29Q4NVldUWITiZnRVGponAPxfCDsATuDSF4kzd5b6PL54\nz4b4Nm5CCBH3bP8/9X588Yn/hp3l0JfbCvUdZ2zYML1DTYgNHRryY/Dg9QcPF6rdTE38goL8\nPBWheDQPCg66pzFDdIZHxia9P7b+RCqPLFy0vcoQFj0wVH+HnjsAZ8JWLAD5VaV8trVY12bM\na3E1VSeEUJr3S5gYafzpsJlLn3lH83N3vtyh9vCaVdUUIayWG+2Z3uIQ7fKJdS/9JjrxoK7j\npKTJ4Q2e4QcA/x+O2AGQnnohK+uS5jkgokPdmtL5det+v35XVc3/FPdmAe7mouO7Nx3MOJWd\ncybndGry14eL1Z/pr8YPsZV899GsydOW7j5nCBk07+NlL/XyYiMWwO3AETsA0tMsZoumGD09\n6u9+6ry8m/60Bmql++bFPBjc/tdPvjBr1ZbUc6qp74Q/P97y5/ZLGzek8tS6ib3bRsQlHfMf\n9tbWY2kbJ/fyoeoA3CYcsQMgPZ1PC1+DdjQvr1QTfrVRpRZdKFKv/rtq9/SRCV9d+tVr21a/\n0i/IXRFCCMu+ycvf2nbDn9qYIeWH3oyJfnWP1um5lVvm/iHcm8/SAG4vVhkA0lO8uvZoZ6hO\nWb+pQK29tTr10805V0+Gs+UdOFCgesVMTuh/NdGEEFcKL/zMV0Q0YkhlyoxR0/coUe8mJy+N\npeoA3AEsNADkpw97Zlw/r8odU4e+8mWBWQihVZ1eO370e8dtV4tM19SnmUGUH01JvfqFYZbz\nuxc8O2l9iSqsFkudn6SZzWatkUPKty9bnSk6vrjghXbud+iJAnB2hB0AJ6ALjl2cNKxV5YG3\nYlo1CwgN8fd5aOQ63ahJg/1qFkHFb8iLsaG6jHmRIe0f7f/rbmGBITHLDU8N7+hiObRg2FPz\n914RQufj11xn3jUtasATUz4v0W46pPzE/kOlqjUtsUsT92t59Vt4Vr3JnAHg1nGOHQCnYGj9\nzJojDw9ZtmLT3lNF1nujYoeMnzDI8n5xmmuIlyKE4v2bv6ckd1u8emda7mXP1sOGTB8+OibM\nuj/Q7c3NeXpFrwjh0nPKB/OrF27LLHPxcNfffIiweoU+Gunf4GauS7uWRv6CAsAvT9G0G59C\nAgAAgLsHW7EAAACSIOwAAAAkQdgBAABIgrADAACQBGEHAAAgCcIOAABAEoQdAACAJAg7AAAA\nSRB2AAAAkiDsAAAAJEHYAQAASIKwAwAAkARhBwAAIAnCDgAAQBKEHQAAgCQIOwAAAEkQdgAA\nAJIg7AAAACRB2AEAAEiCsAMAAJAEYQcAACAJwg4AAEAShB0AAIAkCDsAAABJEHYAAACSIOwA\nAAAkQdgBAABIgrADAACQBGEHAAAgCcIOAABAEv8BHww++6PW/94AAAAASUVORK5CYII=",
+      "text/plain": [
+       "Plot with title “Histogram of data2”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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FiniVOxjBQDAACwThthx0gxAAAAq7QSdkIwUgwAAMAiTVxjlxIjxQAAAFLTUtgx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\nAEAShB0AAIAkCDsAAABJ/B/zGXUaL2P97wAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "Plot with title “Histogram of data1”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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6Tn/aaHrli7t/w/3b8jWhXm+9tGNqy8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\nRK5CYII=",
+      "text/plain": [
+       "Plot with title “Histogram of data2”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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FiniVOxjBQDAACwThthx0gxAAAAq7QSdkIwUgwAAMAiTVxjlxIjxQAAAFLTUtgx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\nAEAShB0AAIAkCDsAAABJ/B/zGXUaL2P97wAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "Plot with title “Histogram of data1”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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489cShGFqbnB76qV3Z703rFbO4H7Dlw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\nAJCJ/wcjNKV1QnvHfwAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "Plot with title “Histogram of data2”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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FiniVOxjBQDAACwThthx0gxAAAAq7QSdkIwUgwAAMAiTVxjlxIjxQAAAFLTUtgx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\nAEAShB0AAIAkCDsAAABJ/B/zGXUaL2P97wAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "Plot with title “Histogram of data1”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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9x49LO9nvjH1iMPOOqo7stOnshOFiyaO33S+K+Hv/ncU4NHzarT8/FzHGAHAGys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\nNOjifwAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "Plot with title “Histogram of data2”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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FiniVOxjBQDAACwThthx0gxAAAAq7QSdkIwUgwAAMAiTVxjlxIjxQAAAFLTUtgx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\nAEAShB0AAIAkCDsAAABJ/B/zGXUaL2P97wAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "Plot with title “Histogram of data1”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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TtDWl5vWuiK+nWu/e3hfdGqMD/e81WD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\nAAAq8f8HhM6FNf+FFAAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "Plot with title “Histogram of data2”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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FiniVOxjBQDAACwThthx0gxAAAAq7QSdkIwUgwAAMAiTVxjlxIjxQAAAFLTUtgx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\nAEAShB0AAIAkCDsAAABJ/B/zGXUaL2P97wAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "Plot with title “Histogram of data1”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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3XGHNkXJwvTkz1fNK60uVXjUjZ3A3fs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\nYAcAAKAQBDsAAACFINgBAAAoxP8Du4HYk3BDnSIAAAAASUVORK5CYII=",
+      "text/plain": [
+       "Plot with title “Histogram of data2”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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2cPqFkk6yStYq0/D9v708c96vm5PJxf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\nMrVPAAAAAElFTkSuQmCC",
+      "text/plain": [
+       "Plot with title “Histogram of data1”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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QcAACAJwg4AAEAShB0AAIAkCDsAAABJEHYAAACSIOwAAAAkQdgBAABIgrADAACQ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",
+      "text/plain": [
+       "Plot with title “Histogram of data2”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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2cPqFkk6yStYq0/D9v708c96vm5PJxf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\nMrVPAAAAAElFTkSuQmCC",
+      "text/plain": [
+       "Plot with title “Histogram of data1”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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6Tn/aaHrli7t/w/3b8jWhXm+9tGNqy8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\nRK5CYII=",
+      "text/plain": [
+       "Plot with title “Histogram of data2”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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2cPqFkk6yStYq0/D9v708c96vm5PJxf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\nMrVPAAAAAElFTkSuQmCC",
+      "text/plain": [
+       "Plot with title “Histogram of data1”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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489cShGFqbnB76qV3Z703rFbO4H7Dlw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\nAJCJ/wcjNKV1QnvHfwAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "Plot with title “Histogram of data2”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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2cPqFkk6yStYq0/D9v708c96vm5PJxf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\nMrVPAAAAAElFTkSuQmCC",
+      "text/plain": [
+       "Plot with title “Histogram of data1”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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9x49LO9nvjH1iMPOOqo7stOnshOFiyaO33S+K+Hv/ncU4NHzarT8/FzHGAHAGys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\nNOjifwAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "Plot with title “Histogram of data2”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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2cPqFkk6yStYq0/D9v708c96vm5PJxf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\nMrVPAAAAAElFTkSuQmCC",
+      "text/plain": [
+       "Plot with title “Histogram of data1”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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TtDWl5vWuiK+nWu/e3hfdGqMD/e81WD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\nAAAq8f8HhM6FNf+FFAAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "Plot with title “Histogram of data2”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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2cPqFkk6yStYq0/D9v708c96vm5PJxf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\nMrVPAAAAAElFTkSuQmCC",
+      "text/plain": [
+       "Plot with title “Histogram of data1”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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3XGHNkXJwvTkz1fNK60uVXjUjZ3A3fs\nufLE+MrHycQVSOtbq5nRp8fsmPnDiaTFypJGF/rX0DYbXrka5T5YMqubN6MKQBax8nYrALKT\npc4T/+6gZnYfO9PjncPL5Uknh0i6wt2XBSdvyha9sU/KCcYXb2p6uPPTqi5p/nKXbIt2/e1q\nQoqqjHf/6F3MRnrlrCJlA5JeIL3OE8uepngNU8S2/kVfWQwhad2r1y2TvOWbTdUJF/Qp97GT\nXPtuetHwQb93SPJOdLZ1Z77YX9d456dGti9frnRk6vNmfB87WY7eN6KsQ6pvQuNcvGTy0pEX\n+9hl9Aqk861l8On//nFJT8oLCOC14x9NADJNcmv+/YFDCz/rWNnbIWUHBcmhYI2ekzYfWtrL\nN/lni2Pr8bP7VciXupOWe/Op+4788XW3qt4OL/oXSLZuAS2G/Lzv2Kp+ASnvyNL4dPtt7/ox\n7QNckl5HsilQ68Nl279v4ZLxMS4pX6vvN/7ct3L+pGwi2bqWaDFy3Yk9U1sn76CSeHrq139E\nZNWoXaY+b2Y4Npx2+Ojy0V0qeyYv0JA0jsXbf7NuaX+/V/JVJq5AWt9axp7+JPLmjYzf+Qjg\n9ZPkrJt+AJDTyNG3Tp65+0wWQmjyl6pdzvOVuzFMDy8fvvzQJISQbAuWr1XCVRJy1I3j5+7H\ny0JoXPyrV/Kxf/kFE6Pu37wdEhGjlxzyefuVKOKaxtJO+Vnotcu3Hifa5vMpGVDY+eX3lOMe\n3rp552G00cHNx694QXOb4Mlx4Teu3X5sdPUrV9LDTr+jf+E2v4abhNbnw123Zje2EUII+dHl\nQ5cemoQQGvfSdcp6pHq1hEdBl29GORQrG+DhIAkhTI+vHrkUZpCFEBq3gFrlvUTohaPXnpiE\nkGy8ytUOSJ4fTXkVilevVCj5KiQ8OHc8KNKU4nJZlIHP+++3oClQpm6ZjK2pMMY8uBF0N0J2\n8Q0o6Z1XE3//7IkbUSYhJPtCFWsUTxGBLV6B5KWr6XxrFp5e0njp+A2zk+QvXUAArxvBDkCO\nZgxa/eX0vx+bhJDy1Bw89f3KyQ2/9Ce+qFznu8sGIWzrzrx64ONizD8AAIsnAORsmrxPzy77\nbcczWQjNmstOfmu+buItPT6z/LN3f7xiEEJIjnW6v+FLqgMAIRixA5DjPTv5bYvmYw4ndSKV\nNHaOeURsbIJJFkJIWo/m3+/eMLQcM3sAIAT72AHI8fJUG73j6B9fda3iaSdJsikhOibBJEua\nvEXqvv3t5uMbSXUA8AIjdgCUQo5/dDsoOPypXpPH1duvRGEX7iUBgJcR7AAAAFSCqVgAAACV\nINgBAACoBMEOAABAJQh2AAAAKkGwAwAAUAmCHQAAgEoQ7AAAAFSCYAcAAKASBDsAAACVINgB\nAACoBMEOAABAJQh2AAAAKkGwAwAAUAmdtQvINH1E8JWLV2+HRUTH6jX2Tvk8iwaULeNfwF6y\ndmEAAADWpaBglxhy4Odx42ev3n8jyiinPCBpHQvX7DToy3EftfFzsFZ1AAAA1ibJsmz5LOtL\nuDS3U/Nh20M1rgF1m9SvUsrXy9XRTmtMiI0Mvxt07si+g+fD9Pkbfrdj62dVyHYAACB3Ukaw\nM92e3az88JOlhiz547uOaY3K6UP2TX27+7jAElPOHhhRUpv9FQIAAFidIhZPyGE7NwQmFB80\ne1qaqU4IYevdaPSC0bWNp7btDlNAUAUAAMgCigh2puioaJPGy8fb3B2BGq/ChWzlmOgYU7bV\nBQAAkJMoIthpfcqVzW889efa6/p0zzGFbPjjQLxzyYCCTMQCAIDcSRHBTuRpNmxoNfngqEaN\nBsz8M/B6eJzxxSFTwpPbJzf/PKJ1nXfXRJQZ8EELRyvWCQAAYEXKWDwhhDA+2Dam1/sz9j/Q\ny0KSdPbOzo52OpM+NvrpM71JFpLOvfrgX1ZN71LM1tqVAgAAWIdigp0QQpie3tj75+oNe46d\nvxocHhnzzKCxd8zn6RtQvkbj9t27NS/loozxRwAAgCyhqGAHAACA9Cmo80QyWooBAACkSUHB\njpZiAAAA5ihlKpaWYgAAABYoI9jRUgwAAMAiRawjpaUYAACAZYoIdrQUAwAAsEwRwY6WYgAA\nAJYpItjRUgwAAMAyZSyeELQUAwAAsEQxwU4IWooBAACYo6hgBwAAgPQpqPNEMlqKAQAApElB\nwY6WYgAAAOYoZSqWlmIAAAAWKCPY0VIMAADAIkUEOzlkXotiQ+4MO3hhaq10dzMx3f6hYalR\ndj/c2jW4YMbvtzOZTAcPHkxMTDT39rL86NGjt956KzM1AwAAZDdF3GOXiZZiwdExJiEyPmT3\nzz//tG7dOi4uzuKZ3bp10+kUcbkAAEAupYid37KwpVixYsWePXsmm3X48GEhhMlEE1oAAJCj\nKSLY0VIMAADAMkXcYyeEVVuKBQYG1q1bNyEhwdaWfmUAACDnUkywE8JqLcUIdgAAQBEUFeys\nhGAHAAAUQXnLPGkpBgAAkCYFBTtaigEAAJijlGCXoqVY/S7d02gptuzL9tt20lIMAADkYsoI\ndqbbC4aO3BFTaeg68y3Fxg6d24GWYgAAIJdSxD52ctjODYEJxQfNnpZmqhNC2Ho3Gr1gdG3j\nqW27w1gMAgAAcidFBLtMtBSLiY6hQQQAAMidFBHssrClGAAAgGooItjRUgwAAMAyxWxQTEsx\nAAAA8xQT7IRQSUuxkJCQS5cupXnIzs6ufv36//9bAACA3ElRwc5KXm+we//995csWeLg8Ory\nXpPJFBMTc/369RIlSvz/7wIAAHIhZexjl664+2eOnL4dqfUsW7NGQH4ba5eTEUajsU2bNhMn\nTnzl8cePHzdq1MhgMFilKgAAoALKWDwhhBAJtzdPeLthuSLePiVq95i0K8Sov/57t9L+VZu+\n0aVL23qli5TqMDXwCaOPAAAg91LIiJ0pZM17DXuuuGvUOXsUsDm3dkznB0+Hucxf96ho68Fd\na3sl3Njzx+pNX3R8z+v0n318lBNWAQAAXiNlhCDDubnfrL7v2mLa8bCI0Pvh9w99VfbMtG+3\nO72z6sjmuRO/+nraor1nNg4uHrF52vzzTGUCAIBcShHBzhQaePi6CHh/4kfVXDVCaFxrDRvY\n0F7r1a5XC1cp6RTJrckHb1eQggKPhDMdCwAAcidFBDs5OuqprC1YpNDzphKSc5EirjrPgp4p\nukxo3D3dNaaoyChaigEAgNxJEffYady9PHSGi+cuxQvvpF1CbCoOnL+ss1/hFLnUEHwj2Kjx\n83BXRFYFAAB47RSRgqT8TdrUsru3+ONhS8481AshhOReqW3X5qWdkydihRx9bs64hTc0lZs0\ncJPMvBIAAIB6KSLYCU3R976f2NTpym99q3o6+X28PzHFMeOV3/s1LutX/ZMd0aU+mDSguDbd\nVwEAAFA1ZQQ7IRwqfrzlzL5fx/Tr2KCCd56Ug3Km8LO7A++71H3/x7/3z2jiwngdAADIrRRx\nj10S24L1+n1Tr9+rD9vU/vZC5PfODozUAQCAXE5BwS49to7O1i4BAAAgB1DKVCwAAAAsINgB\nAACoBMEOAABAJQh2AAAAKkGwAwAAUAmCHQAAgEoQ7AAAAFSCYAcAAKASBDsAAACVINgBAACo\nBMEOAABAJQh2AAAAKkGwAwAAUAmCHQAAgEoQ7AAAAFSCYAcAAKASBDsAAACVINgBAACoBMEO\nAABAJQh2AAAAKkGwAwAAUAmCHQAAgEoQ7AAAAFSCYAcAAKASBDsAAACVINgBAACoBMEOAABA\nJQh2AAAAKkGwAwAAUAmCHQAAgEoQ7AAAAFSCYAcAAKASBDsAAACVINgBAACoBMEOAABAJQh2\nAAAAKkGwAwAAUAmCHQAAgEoQ7AAAAFSCYAcAAKASBDsAAACVINgBAACohM7aBfwnhmeRkVHR\nsXqNvZOLm6ujjWTtggAAAKxPSSN2xsenV07o37pKUTdHJ7cCBYsULerjld85bz6fCs36fPl7\nYIje2gUCAABYk1JG7OQnhyZ27frNvjCj5FDAv2ydql6ujnZaY0JsZPjdG1f2Lft29/K580f8\nsXFKcw+G7wAAQO6kjGAnR2z5tOf4/cZawxfP/Kx79YL2L4e3xEfnN8354uNJM97+qMaF5V0L\nEO0AAEBupIipWDly2+9rHxToOX/TzD41Xk11Qggb9wqdx65d9VHJxxuXbo+QrVEiAACA1Ski\n2JnC79yL15aqWc3FzFicQ5Xale0TQ+4/NGVfYQAAADmIIoKdxqOIj73x6vHTUWZG4xIunLyQ\nYONV0F0RHwkAAOC1U0QKkvK1freL98MVAzqOXHEqPPXiV2PElU2Tunefftm1ba9WbtxhBwAA\ncidlLJ6QXNvNWP7lzS6TZvSq/v1A74CyAb5ero52OpM+NjLsTtDlq3ejEiWXah+tmtWNRbEA\nACC3UkawE0JyazB+z6U2y2fPXbZ+z/HT+y4nJs/KSjZO3iXr9Rzcc+CQt+sXsrNulQAAAFak\nlGAnhBA6j5p9v6nZ9xshJ8ZERETFPDNo7B3z5Xej8wQAAIBQyD12r5IkjUajkSQhSUQ6AACA\nZEoKdrQUAwAAMEMpU7G0FAMAALBAGcGOlmIAAAAWKWIqlpZiAAAAliki2NFSDAAAwDJFBDta\nigEAAFimiBRESzEAAADLlLF4gpZiAAAAFikj2NFSDAAAwCKlBDshaCkGAABgliLusXsVLcUA\nAABSU1Kwo6UYAACAGUqZiqWlGAAAgAXKCHa0FAMAALBIEcHueUuxNZtmdnJNI7UltRTzjq3S\nYO7S7RFd3s7cVnYxMTGJiYlmToiOjs5kwQAAAFagiGCX8ZZis27cf2gSbtoMv/TNmzdLlCgh\ny5YbzGbkHAAAACtSRLBLail25PjpKLlwWiN2QojnLcWKZbKlmL+///nz5xMSEsycc/78+X79\n+rECFwAA5HCKCHZJLcU2Lh3Q0TN25mddq3rYvnzcGHFl69xRw6dfdu34VeZbipUrV878CeZj\nHwAAQA6hiGBHSzEAAADLlBHsaCkGAABgkVKCnRC0FAMAADBLScHuBcnG0c3D0U0You5cvXLq\npq17sQD/AvakOwAAkLspoqWYKWzvnHFjp2++bXz+iBxxbM471Qt5FC1fo3bNSiW93P2bf7zi\ncqw1iwQAALAyRYzYyWEHFkya+Hhgo+HtimmFEAnnprZv8UVgTN6itdrXKVfIPurmiX37Z73d\n4OLjA1uGlrG1+HoAAABqpIhg9zL54drx3x2JK/7O6l2/dPVNinFy5NEJ7VuN/3rUiq4b3vFm\nUhYAAORGipiKfZn++K59T/O2GTO1i++LwTkpX62RE/sUid6zfncEDSIAAEDupMRgFxkZpylc\ntky+lwfm7ALKltDpH9wLN1mpLgAAAOtSYLCzL+ZfSHoUGpb48sPGB/ceGDUuri4K/EgAAACv\ngXJSkBxxcN64ab+s2BSoq9+hdPRfMxdcSdHpKzF41ZSFV6UyDerSegIAAORSylg8YZ/f2yPv\npQurvx25+sVj0udDfuu86wMfjUg8P6/vO2PWnH3i1XPWwLJaK9YJAABgRYoIdtqSQ7bd/zDx\nacjtoKDryf8LCrrtkjdpnUTilV1/nTeW7ztv8ewujNcBAIBcSxHBTgghhGTjXLBk1YIlqzZ8\n9Yh940kn7hYp6+1AqAMAALmZcu6xS2J4evfqleDH8SmXvmo8Asp5O0j6qLAHDx5GG6xWGwAA\ngFUpJ9jFXV05tGGRfG6+pcv4eXiW6zxpd+hLG5sknpxQt4hv85mXjem9AgAAgKopJNjJoWv7\nt3h7zsEn+au3696pvr8maP2Y9k0/2vGY3YgBAACSKSPYGc7OGb/6vnPT6YGXjmxcvW7/9QcX\nF3b3vD534OdbiHYAAABJFBHsTCGHD10XAQO/HVrBMekRh4A+8+b3L3pvyajpJ+KtWxwAAEAO\noYhgJ8fGxMraQr4+KdbwSi7Nxk7o7Hp17leLgmkiBgAAoJBgp/Eo6GVjuHziTEzKRyXP7pO+\naiD2jPt05X2iHQAAgCKCnZSvSbv6DiHLPvpg0YWoFItetSUGzR5TO/avIT3GHXjEYlgAAJDL\nKSLYCY1P32kTm7rcXN6vonfBkrU+3R6dfMCmzPCFc7u7nZjYNKDSoD9DGbgDAF5pIsQAACAA\nSURBVAC5mDKCnRB25YdvOrL+m7cb+dk8vHoj/N9diG2Kv71034ax7Qs+vPpPLCtkAQBALqac\nlmLC3r/9V4vbf5X6gK5wq7HrWo2OunPlUtBT96JKyaoAAACvl4KCnQU2LkUq1Cli7SoAAACs\nhuEtAAAAlSDYAQAAqATBDgAAQCUIdgAAACpBsAMAAFAJgh0AAIBKEOwAAABUgmAHAACgEgQ7\nAAAAlSDYAQAAqATBDgAAQCUIdgAAACpBsAMAAFAJgh0AAIBKEOwAAABUgmAHAACgEgQ7AAAA\nlSDYAQAAqATBDgAAQCUIdgAAACpBsAMAAFAJgh0AAIBKEOwAAABUgmAHAACgEgQ7AAAAlSDY\nAQAAqATBDgAAQCUIdgAAACpBsAMAAFAJgh0AAIBKEOwAAABUgmAHAACgEgQ7AAAAlSDYAQAA\nqATBDgAAQCUIdgAAACpBsAMAAFAJgh0AAIBKEOwAAABUgmAHAACgEgQ7AAAAlSDYAQAAqATB\nDgAAQCV01i4gM+TY4EPrV/+16+i5q7fDIqJj9Rp7p3yeRQMq1GjSvnvXpiWdiakAACAXU0yw\nM4XuGt/nvSl/302QhZC0tg558thpjeEPbl+7cHL/puWzx39Ra8i8lVM7+tpYu1IAAADrUMgY\nl/78lI6dJuyNr/TulJX7Lt6PiouPfRrxJOJpbHzc09Crh9fNGtLA7vSstzpOOBFn7VIBAACs\nRBkjds/+nvXjSVF38t6/Pytr99IRycbRM6BOp4A6HTpX71r13V9m/z1ycXtHK5UJAABgTYoY\nsTPeu3jpsbZK1+6l7dI9R+PTpWcj+6hrVx4Ys7EyAACAnEMRwU7j5OKkMYU9CDWX2UyPQsIS\nJUcnR0V8JAAAgNdOESlI8mzRoY7djV+GjdocHJ/mGYawQ9MGfntIU7llE08pm6sDAADIGZRx\nj52mWP8fJ29u9vH3bwQsK9uwaYMqpXy9XB3tdCZ9bGTYnaDzgbv3nL6f4Fp/0k8fBmitXSwA\nAIB1KCPYCWFXbujGE6V//PqbOWt3r7q4S055TNLk9anRc8LocZ+0L57HWgUCAABYm1KCnRDC\ntnCzTxc2G/Hzo1uXL14NDo+MeWbQ2Dvm8/QtWbZsCQ8HZmABAEAup6Bgl0Syd/ev0si/irXr\nAAAAyGkUFexoKQYAAJA+xQQ7WooBAACYp5AxLlqKAQAAWKKMETtaigEAAFikiBE7WooBAABY\npohgR0sxAAAAyxSRgmgpBgAAYJky7rGjpRgAAIBFygh2tBQDAACwSCnBTtBSDAAAwDwFBbsk\ntBQDAABIm6KCHS3FAAAA0qeYYEdLMQAAAPMUMsZFSzEAAABLlDFiR0sxAAAAixQR7JJbio2y\n2FJs8JZrVx4Y25fM+F529+7da9WqVVycuYG++Ph4IYQsy2bOAQAAsDpFBLuklmJ3HoQahW+6\nc8f/raVYgQIFRowYkZiYaOacmzdvTp06VZLYUAUAAORoigh2SS3Fhv8ybFT91ZPaFbVPfYYh\n7NCMgd8e0lSenMmWYnZ2du+++675cwIDA6dOnZqZVwUAALACRQQ7WooBAABYpoxgR0sxAAAA\ni5QS7AQtxQAAAMxTULBLQksxAACAtCkq2NFSDAAAIH2KCXa0FAMAADBPIWNctBQDAACwRBkj\ndrQUAwAAsEgRI3bJLcW6WmwpZh917coDYzZWBgAAkHMoItgltRQLexBqLrP9t5ZiAAAAqqGI\nFJTUUuzGL8NGbQ6OT/MMQ9ihaQO/PaSp3DKTLcUAAABUQxn32NFSDAAAwCJlBDtaigEAAFik\nlGAnaCkGAABgnoKCXRJaigEAAKRNEYsnksRcXTO2T8tq/l6eRSu2GDhr3/3Elw4bTk9uWqp0\n+5+usd0JAADInZQS7OLPzWhf981vlu668FgYH178e/7HLev1XnIjRbaT4x//c+PG3ScJ1isS\nAADAmpQR7Ez//D5i7P5ov7d+O/swIjQ8PDjwt34BD9cOeXfWpUTLzwYAAMgVFBHs5Me7NwfG\ne/ecOffdCs6S0OQtXKvfL39OaaI9MvHTRXdM1i4PAAAgR1BEsDM9Cg036MrWru7y79JXXYkB\nM0ZUTtg1adKup1YsDQAAIMdQRLDT5HPLpzHeuX3HkPJRmwrDp/Qvdn/x51OOxVmrMgAAgJxD\nEcFO8qjboJQU9Pu4Xy49S/m4U+Nxs/p6XZzZ79OtYUzIAgCA3E4RwU5oyw0a19MnYvvwGqXr\ndBnw+eKzyR1jJbfW3837sHjwL52rNx0071iUbP5lAAAA1EwZwU5IHh3n7f1jRFOPx8f+WjBr\n7bkXc6+Se8vv/94wuq7pyMIlhx4xbAcAAHIx5XSesPPrNG1Xx28e3rwebPB2SnFA49lswt9B\ng0/v/fvw2Rumau70FgMAALmTcoKdEEIIyaFA8YoF0nq8YNU2faq2yf6KAAAAcgqFTMUCAADA\nEoIdAACAShDsAAAAVIJgBwAAoBIEOwAAAJUg2AEAAKgEwQ4AAEAlCHYAAAAqQbADAABQCYId\nAACAShDsAAAAVIJgBwAAoBIEOwAAAJUg2AEAAKgEwQ4AAEAlCHYAAAAqQbADAABQCYIdAACA\nShDsAAAAVIJgBwAAoBIEOwAAAJUg2AEAAKgEwQ4AAEAlCHYAAAAqQbADAABQCYIdAACAShDs\nAAAAVIJgBwAAoBIEOwAAAJUg2AEAAKgEwQ4AAEAlCHYAAAAqYT7YGS9817L6G0OmrDwUHGPK\npooAAADwn1gYsXNwkm9tmzuqZwN/r2J13xz504bToQnZUxgAAAAyx3yw0xb/cOf9u6c2zPm8\nZzXbS39OH9axWmGvgGb9xv6262qEIZtKBAAAQEZYvsfO3qvyGx9MXrovKPTOyQ2zP+9R0XRy\n6YT3W5Tx9qnMJC0AAEDOkYnFE/beVd74cPKyfUGhdwJ/H1Lb5fG5TXNeTNLO3nI1ioAHAABg\nRZlZFWuK+efoup++6NOuabtBcwLDDcLOo3zL7p2r21xcO31o+woVui0MSsyyQgEAAGCezvIp\n8WHn9m7asH7D+k27z4bGyULrWKRG+6GdOnfu1LZecRetEHLsP/t/HdHv079GTtjWbckbjllf\nNQAAAFIxH+xMwYt6Nhu+9tZToyzZ5i/doM+7nTp37ti8SkEHKcVZUl7fRh+O7P7zhu+Dbz0y\nCUf2xgMAALAC88FOfnr3jjGg/QedOnXq1K5BKTebdM/UFGw96sfiPq0Lk+oAAACsw3yw05b9\n4sCtMTrJ7ElCCCE0Pg3fGdzwNRUFAACAzLMwwKbV6STDg/0/DWlfq97oA0lLI4yXJ9crVLb5\nwFkHQtjKDgAAIMewtHhCfrx1SMNO828aHctXsk16SHIqGpA/fNmCj1vsvbT28Lx2BTIwoPe6\nyLF3ju/ec/Tc1dthEdGxeo29Uz7PogEVajRuWtvfRZt9dQAAAOQ8FoKd8cLs0b/fcm01Y+vK\nj6q4JCU4TeG3fjvX/uNferccuvCLnwa3+qZyBpbW/v8S7+6c8tHwaRuuPTXKqQ5KeYo1Hzp9\n7vjO/nbZUQsAAEAOZGFVbMjB/VfkMiMnDX2e6pJJjuUGTBy0YOvEA4dCTJWzfsWEHL5hUKPu\nC4MdAloO+KRtgyqlfL1cHe20xoTYyPC7QecCd65ZuWlq94bBy46teLMQ6zcAAECuZGFV7LOY\nWFnjUdAzjVlOTQFPd40c9exZ6vGz1y7x5Pejltwp1Hvl3l+7+9q+erRJ2x4DR43Z81nzdj+O\nmXm084w6qc4AAADIBcyPbmkLlirpbDyzdceDVO3C5NCd204ZHP1LFMz6W9tM9w4fuiVV6v9F\nl9SpLpnGvfGXHzW1uXP82H06mwEAgNzJwrSlY7OB75SI2Tq8Tb/Zu28+NSY9KMfdC/xtcPuh\nG6OKvPluM6esL1IIWQghSWZXaUgarTYbl3EAAADkNJbuR8tbb8KaHzu5X18ytFkJN2d3n2J+\nvt758hWp+/78c/aNJqz4rplzdhTpU6+en3xmwZT1d9NrRmt6cmDKrF16n+rVucUOAADkUpYX\ntDqUG7TmbONti39dufXw+dth0QbX4rVr12je9f0B3asWyJb1sELYVPt4cu9V3Rf3qHi8Ta9e\n7Z4vntCZ9LGRYXeCzgduX71s/alH+Tsv+pgb7AAAQG6VoWQmOQe0GTqtzdCsLsZMBR4d5+1b\nX/jDYTO3zPly0+zUxx18m36ycs7EbrQ0AwAAuVaGgl1i1J1r1+5FJaaxf1zeIpUqFc7z2stK\ng61vm282t/rs1pFde4+dvxocHhnzzKCxd8zn6RtQvkajZnVK5Mum4UMAAICcyWLnicgj03v2\n+Gr7XX2au5roKo47dWpshWzr+aBx8qvb2a9u5+x6PwAAAOWwEOwMp6a9P3r7A+fKb77ftVYR\n51Rna9xrZOtiBVqKAQAApMdC54k7B/ffkIsO/GPfnKbZsq2JGbQUAwAAMMt8sDOGh4Sb7Ko2\nrG3tVEdLMQAAAEvMBzuth7eHJjH45j9GUdqaE520FAMAALDI/OiWptjbX77nd3HGh5MPP7Ji\npy5aigEAAFhmfsROfnwzomTn1m4/fN2w+KIadauV8i2Q96WRO22hNiNHti6Y5ZOftBQDAACw\nxMLiiQfbp342+ZxBCBF388jWm0dSPb2ie7/PWhfMquqSJbUUm75gyvpe87sUtkmz0uSWYgNp\nKQYAAHIrC/fYlflk1z/vp72FnRBCCMnW2SMbbr6jpRgAAIBFFvax0zkVKGjtFbFC0FIMAADA\nsoy14YoL3rNs8V+HLgSHxXj3nPtzt2fb1j8p16FB0WzpJZaMlmIAAABmWQ5DiTeW9ms7ePn1\nWFkIIXQVa8eY4k7/8m6/3YU6/7B+ycDy2RnuaCkGAACQLkvBLv74+C4Dlt8t2Hbs5NFd86zq\n0m2/EJJLq1HTev3zxfKhPfwqnJ5a2z5bKhVC0FIMAAAgfRaCXdyeeQsu6RrM2P7X8BI6w8lN\nWiGEkLRe9YYu3mL3qMIHi+bvHl+7rUN2VEpLMQAAALMstBS7c+FihLZql07+qc7T+LRtX0W7\n+8qlu8a2JbN8rIyWYgAAAJaYD3aSrZ2tJPT6xLQOJsQnCEmn02XDrsC0FAMAALDIfLDTFKpe\n3cc4d/mi04MnVHt5lUT82SXLTxk93quUDQNkyS3FxllsKfbzgOPH7pvqFMt4SREREV999ZXB\nYDBzTlhYWKbKBQAAsAoLEci21pCRzfOem9yq0YAfNx69GZkomxJjH906vHRk2/aTzuhqDBlc\nP1tuasuylmKyLMty+hswAwAAKIelVbFavwHL1j/u3eubX4d3WCCEEGJSHa9JQkhat+rDVqz+\ntFyaDb5esyxsKebm5jZ37lzz5wQGBm7YsCEzrwoAAGAFlvexk/LXH731au/D69duPXTuVli0\nwc7Vp1SN5l26tSrrll0bjNBSDAAAwKKMdWuQ8hSp1/OTej2zuBgzBdBSDAAAwAILwU4fce/e\nk4T070GT7Nx8fFyzZZCMlmIAAABmWdjH7uqP7aqOO5f+klFdxXGnTo2tkG09H2gpBgAAkB4L\n+9h51Ov3+agQY8rH5ISIO1eO7N594aFduT7jvulcJDsmP2WTSRaSRvPvslc5+uqWhb+vO3Dp\nwTNbd/8qzXu8+2Y9H9pOAACAXMzCPnZeTYdNbJrGAVPkmTl92n68enFg/0FvZE1lKRjPf1O1\n6jePB/59a3ZjGyGE0Act7tN60B83459PEq9fPmfazIGLNs3uXISOsQAAIJf6j8NtmnyVP/x+\nRE3Tpd8XHtS/3oosM1yd1feDP2471R46f8epoPuhdy8fXjupk2fQ/Hd6/3jVaPn5AAAAqvTf\nFxxoChYrYivddbDPhpZiLzGcW7rwREKxgRu2zmrmIgkhREFPn9LVy9o0qvLFj78EfvhDfXY8\nAQAAudF/v0Eu5sjeE3Haov5Fs3vuM/76lWC5UNseDV1SRkqbkp07V9Y+OHXqvimb6wEAAMgZ\nzI/YyY+OLFsaGJ4qKhlj759cv3jdLU3ptxr4ZPfOcVp7exvJIY/DqyOFNrY2Qk5INNAgDAAA\n5E7mg53pwc4ZI9PZ7kSy82373W+fVs623eOM8XEJsrCR7Gs1r5/nr/37bhpqBPz75vLDA3su\nGJ3blCzI6gkAAJA7mY9l2hIDVh5r9yz1GJikc/Iu7u+dNxtDlCnkt3auqz2KlSxdyk+4y8cn\n9Z3U8O+xNR2FEMaIS+u/G/zxxqhC7/VqnDf7SgIAAMhJLIy3OXiXruKdPZWYofHt8s3sPKeu\nBQUFBV0Pur5/Y2i03iSf2RUYPqamo0Y8+7N/9Tf/jHco98HiCS2drV0sAACAlVi4xy7izIb1\npx9nbDmCtmjj3k39smJmVnIp98bAcv/ul2eIDfvnRtDNKA8PSQghtO4V3xhU/c1hH3Yo5Zjd\nS3QBAAByDAv32N3dOG6AuZZiKdm1XdShiZ9rNkQrXV5P/4qe/i/euMmYVU2y/l0BAAByNgv3\n2JX5dNvOxDfe+Pa0tnS7d/q8UadMQWdNbMjlwA2LF26+7tR63PfDa+Z7nuQ0+UvnZcAMAADA\nWizMnGoit06ffcapw4L9q/qVeNGJtW3Xd4d/sPCthgPnrH+3/5LOBYhzAAAA1md+Ezr5yc51\ne2PLvD+2z7+pLolt8T5jB5R5+NeibU/YNw4AACAnsHCP3aOwhwaNq7trGvlPcnN3k/ShDx6a\nRP6s3fXEGLzr142X4zMSIDUFar31Vk13hhABAEAuZOEeOy/fIg6GnZu33R0yyPflcGe6v23z\nKYNNA2/3LO88YXqwf+7X312IMlqOdrqK4xr2qOnOHsUAACAXsnCPnUurvp0Lrl88ssNAu1+/\n7V2tgI0QQojEh6dWfNV/xI6YfB26t8if5cNjNnUmnn3Qb9vEd96ecjDKq+Ok73sXTy+5afKV\nKZrdLc4AAAByBgvBTnJtN2PZ6KAu3/7Wr8aSEb6lSvo4i6f3rl/9J0IvHEr2+XVWT+9smfaU\n8vi1Gf/DB5tqfpcY0LhzlxrZ1scMAABAMSwOb0luDb/Ze37/glE96/uKkCunT168E+9eqU3/\nb9eePLGwe5FsnPS0Kd+koRfDcQAAAOnI0NCXTcG6702u+97krC7GAl3lvpO/rehTmHAHAACQ\nhozNacYF71m2+K9DF4LDYrx7zv2527Nt65+U69CgaJ4sru5lUr7qvUdUz9a3BAAAUA7LwS7x\nxtJ+bQcvvx4rCyGErmLtGFPc6V/e7be7UOcf1i8ZWD57wx0AAADSYWlaM/74+C4Dlt/1bDt2\ndeCFTcNK6oQQkkurUdN6FQ9bN7THuCPx2VElAAAALLIQ7OL2zFtwSddg8va/xnWvXcorr1YI\nISStV72hi7fMbJnn+qL5u+Oyo0wAAABYYj7YGe9cuBihrdqlk3+qKVuNT9v2VbSRVy7dNWZZ\ncQAAAMg488FOsrWzlYRen5jWwYT4BCHpdDr6dwEAAOQE5oOdplD16j7G08sXnX726qH4s0uW\nnzJ6VKxUiN1HAAAAcgILqcy21pCRzfOem9yq0YAfNx69GZkomxJjH906vHRk2/aTzuhqDBlc\n3y57CgUAAIB5lrY70foNWLb+ce9e3/w6vMMCIYQQk+p4TRJC0rpVH7Zi9aflbLK+RgAAAGSA\n5X3spPz1R2+92vvw+rVbD527FRZtsHP1KVWjeZdurcq6ZWNDMQAAAJhnPtgZTk9s9MavRaef\nWfpmvZ6f1OuZTUUBAAAg88zfY6f1K1U4/v6xE1fSXBYLAACAHMTCdif5Ok76votx2RdTAp+Y\nsqkiAAAA/Cfmp2LlJ+dOx9fv0/TnaQ39l9ZuUqdc4fx5bVJmQW3BFsOHN/dmxxMAAACrMx/s\nTPc2T/xg3DmDEEJEH1wXdDDV0ys69hzW3DuLigMAAEDGmQ922tIfbbv5jl5O9wTJNp83S2MB\nAABygrSD3ZMnUXlcXOy1wsbFu4hLNpcEAACA/yLtu+M8vZr/EGT897+NMQ8fPHgYbcimogAA\nAJB5GVr2YLr9S4eivs1nXjZaPhcAAADWwXpWAAAAlSDYAQAAqATBDgAAQCUIdgAAACpBsAMA\nAFCJdDYoluMf3r5+TUqOfaZ/HsYJkfAo+No1u5e3I5bs3Yv65rfN4iIBAABgWTrBznBhZpsy\nM195cHaHsrNffXrFcadOja1A8wkAAACrSzvYtW3XLmNb1mmLlXSWXmc9AAAA+I/SDnbrN23K\n5joAAADwf0pnKhZWcvfuXTs7u9SPe3t7Ozg4ZH89AABAQQh2OUVsbKwQomXLlmkefeutt1as\nWJG9FQEAAIUh2OUUer1eCDF//vzChQu/cmj+/PlJsQ8AAMAMgl3O4unp6ePj88qDTk5OkZGR\nVqkHAAAoCBsUAwAAqATBDgAAQCUIdgAAACpBsAMAAFAJgh0AAIBKEOwAAABUgmAHAACgEgQ7\nAAAAlSDYAQAAqATBDgAAQCUIdgAAACpBsAMAAFAJgh0AAIBK6KxdQKbpI4KvXLx6OywiOlav\nsXfK51k0oGwZ/wL2krULAwAAsC4FBbvEkAM/jxs/e/X+G1FGOeUBSetYuGanQV+O+6iNn4O1\nqgMAALA2pQS7hEtzOzUftj1U4xpQv0v3KqV8vVwd7bTGhNjI8LtB547sO7jsy/bbdn63Y+tn\nVch2AAAgd1JGsDPdXjB05I6YSkPX/fFdx7RG5fQh+6a+3X3c2KFzOxwYUVKb/RUCAABYnSIW\nT8hhOzcEJhQfNHtamqlOCGHr3Wj0gtG1jae27Q6T0zwDAABA7RQR7EzRUdEmjZePt7nxRY1X\n4UK2ckx0jCnb6gIAAMhJFBHstD7lyuY3nvpz7XV9uueYQjb8cSDeuWRAQSZiAQBA7qSIYCfy\nNBs2tJp8cFSjRgNm/hl4PTzO+OKQKeHJ7ZObfx7Rus67ayLKDPighaMV6wQAALAiZSyeELYV\nP1+3NqbX+zN+HdF1wQhJ0tk7Ozva6Uz62Oinz/QmWUg69+pDlq0aW4s1sQAAILdSSLATQluw\n9be7r/Tb++fqDXuOnb8aHB4Z88ygcfUoWsE3oHyNxu27d2teykUZ448AAABZQjHBTgghNM7F\nm777ZdN3rV0HAABATqSoYCeEoKUYAABAOhQU7GgpBgAAYI5Sgh0txQAAACxQRrCjpRgAAIBF\nilhHSksxAAAAyxQR7GgpBgAAYJkigh0txQAAACxTRLCjpRgAAIBlylg8QUsxAAAAixQS7Ggp\nBgAAYIligp0QtBQDAAAwR1HBTghBSzEAAIB0KCjY0VIMAADAHKUEO1qKAQAAWKCMYEdLMQAA\nAIsUEeySW4oNmz2to59tmmcktRTbUWrUtt1hn5QsmPH77fR6/YoVK/T69Hc+FuLmzZuZLBgA\nAMAKFBHsMtFSLDg6xiRExofswsLCpk6dmpCQYOac+Ph4IYQs04QWAADkaIoIdkktxVb/ufb6\noBGl0h6ye95SrFkmW4oVLlz48uXL5s8JDAysW7euJLHuFgAA5GjK2NKXlmIAAAAWKWLEjpZi\nAAAAlikk2NFSDAAAwBLFBDshaCkGAABgjqKCnRCClmIAAADpUFCwo6UYAACAOUoJdrm6pZjB\nYIiMjDx16lTqQ7a2tuXLl8/+kgAAQA6kjGCXy1uKnT9//uLFi9WqVUvz6MmTJ6tWrZrNJQEA\ngBxIEcEuC1uKKYLJZKpXr96UKVNeeTwxMbFRo0bm22YAAIDcQxHBLgtbiimFjY2Ns7PzKw8m\nJiZapRgAAJAzKWLnt6SWYqf+XHtdn+45yS3FSmaypRgAAIBqKCLY0VIMAADAMkVMxdJSDAAA\nwDKFBDtaigEAAFiimGAnBC3FAAAAzGGMCwAAQCUIdgAAACpBsAMAAFAJJdxjJ0ffvXz7iUHO\nwKmSg1fJkp72WV4SAABAzqOEYJd4aGzDdgsfmzJwqq7iuFOnxlZgj2IAAJALKSHY2bacdXJf\nw5/Hj56554EpX5Uub9XxTG8GWVuohrvKGsUCAABkkBKCndA4Fa3fd8q6/A9Ld1jq1PzTWd/V\nUETZAAAA2UpBiyecm3Vp7spwHAAAQDqUNPRlW6FNr9Y2JV0IdwAAAGlQUrDTFO4+a0N3a1cB\nAACQQyloKhYAAADmEOwAAABUgmAHAACgEgQ7AAAAlSDYAQAAqATBDgAAQCUIdgAAACpBsAMA\nAFAJgh0AAIBKEOwAAABUgmAHAACgEgQ7AAAAlSDYAQAAqATBDgAAQCUIdgAAACpBsAMAAFAJ\ngh0AAIBKEOwAAABUgmAHAACgEgQ7AAAAlSDYAQAAqATBDgAAQCUIdgAAACqhs3YB+H8tW7bs\n4MGDqR+vVatWw4YNs78eAABgLQQ7BTMYDEKIbdu25cmT55VDjx49KlWq1P79+61RFwAAsA6C\nnYLJsiyEmDBhQqVKlV45NG/evHPnzlmjKAAAYDXcYwcAAKASBDsAAACVINgBAACoBMEOAABA\nJQh2AAAAKkGwAwAAUAmCHQAAgEoQ7AAAAFSCYAcAAKASBDsAAACVINgBAACoBMEOAABAJQh2\nAAAAKkGwAwAAUAmCHQAAgErorF0AsorBYIiIiEj9uFardXZ2zv56AABAViPYqdO5c+eOHDni\n5uaW5tFDhw7VrVs3m0sCAABZjWCnTnq9vnTp0uPGjUt9qE+fPpGRkdleEQAAyHIEO9XKkydP\nmTJlUj+u0XBjJQAA6sTveAAAAJUg2AEAAKgEwQ4AAEAlCHYAAAAqQbADAABQCYWtipVj7xzf\nvefouau3wyKiY/Uae6d8nkUDKtRo3LS2v4vW2tUBAABYk3KCXeLdnVM+Gj5tw7WnRjnVQSlP\nseZDp88d39nfzgqlAQAA5AQKCXZy+IZBjbovDHYIaDngk7YNqpTy9XJ1tNMaE2Ijw+8GnQvc\nuWblpqndGwYvO7bizUJMLwMAgFxJGcEu8eT3o5bcKdR75d5fu/vavnq0MHm2yAAAIABJREFU\nSdseA0eN2fNZ83Y/jpl5tPOMOqnOAAAAyAUUMbplunf40C2pUv8vuqROdck07o2//KipzZ3j\nx+6bsrU2AACAnEIRwU4IWQghSZK5UySNVmv2BAAAAHVTRLDT+NSr5yefWTBl/d3EdE4xPTkw\nZdYuvU/16txiBwAAcill3GNnU+3jyb1XdV/co+LxNr16tXu+eEJn0sdGht0JOh+4ffWy9ace\n5e+86GNusAMAALmVMoKdkDw6ztu3vvCHw2ZumfPlptmpjzv4Nv1k5ZyJ3QozXgcAAHIrhQQ7\nIYStb5tvNrf67NaRXXuPnb8aHB4Z88ygsXfM5+kbUL5Go2Z1SuRTzmcBAADIAgoLQxonv7qd\n/ep2tnYdAAAAOY/Cgh0txQAAANKjnGBHSzEAAACzFBLsaCn2+hgMhkWLFh08eDD1ocqVK/fo\n0SP7SwIAAK+FMoIdLcVeo8TExIsXL967d++Vx0NDQ7ds2UKwAwBAuRQR7JJbio2z2FLs5wHH\nj9031SnGmJ15Q4cObdCgwSsPrly5cuPGjVapBwAAvBYKiUC0FAMAALBEEcGOlmIAAACWKWIq\nlpZiAAAAlikj2NFSDAAAwCKFBDuRhS3FLl26FB8fb+aEa9eu/bdXVpb4+PioqKg1a9akPiRJ\nUsuWLZ2cnLK/KgAAkHHKCXZCiCxoKXbz5s3y5cvLcuo9j1+VkXMU7dKlS6GhoZ988knqQyEh\nIUuXLn3rrbeyvyoAAJBxCgt2r72lmL+/f1RUlMFgMHPO8ePHW7VqZWFRrvLJsly0aNF169al\nPtTsf+3dd0BV9f/H8XPuZV2mICpLMRRB0dyC5l4NV64cZTlSszJT0+xbaY7KHL9KM80ZNjRz\nlVlmlprmXrhREUEBkSHzAned3x9Y6j0XNbtwuYfn4696f+7nnjf3yuV1z/p07mw0GuX12NjY\n9957z+KQKIpTpkxp3Lix9RsFAAAlsJ9gV2pLit33CCOHIEty+PDhH374oVu3bvKh7du3t27d\nmmAHAEBZspNgx5Ji5ZWnp+e0adPk9ZiYmLJvBgCACs4+gh1LigEAANyXXezdurWk2Mj7Linm\nmHjoYJKpTHsDAAAoL+wi2LGkGAAAwP3ZRbBjSTEAAID7s49z7FhSzLZyc3Nnz54dHR1tVk9J\nSbFJPwAAwCL7CHYsKWZbRUVFvr6+NWrUMKsnJSXZpB8AAGCRnQQ7oRSXFMODeOKJJ7p3725W\nzM/P37Vrly3aAQAAFthZGLL6kmIAAACKYSfBTjKZJEFUqW5f9irlnt+6auXGP88ka518azXp\nMmDYwNZB/37ZCQAAAMWwi2BnPDmjadMZGaN3XP6sg6MgCILuYvTzT760Lq7w78XFNn+zaO7/\njf5yy2d9ajzMirEoMydPnuzTp48kyZeFEwRBmDVr1qBBg8q4JQAAFMMugp0Zw/lPX3h5XbxH\ny7ELpg3tUD/QJTvu4Kb5U2YtHfpcnXo7x4cT7cqxq1evXr169cMPP5QPLVq06OLFi2XfEgAA\nimGHwc4Q89Wqw0WPjP7h5087e4mCIAgB1YLqNo9wbN/krQVL9r3ySRvueFKuqdXqrl27yuvf\nfvtt2TcDAICS2OHdQQovnLsiBXYb0M7rzoUmHOv06dNYnXz0KEuKAQCACsoOg53axcVR1Lhq\nzNcPc3RyFCSD3mD57C0AAACls6NDscbCgiJJcBRdorq0cd20e1ecoUXY7faltD//OGX0fKpO\nAKfYlQcmkykjI+Py5ctm9evXr9ukHwAAKgL7CXamlBXdvb+r+kiduuEhgq906P0X3m+3Y1qk\nuyAIxptnNs8eM/7H7MARz3Zws3WjEARBSEpKmj59+vTp0+VDGo2m7PsBAKAisItgpwruO+Mz\n16OxFy9evHjh4oXdP17P1Zmk47/tu/FupLtK0G4Y2XzghkJN/ZejZz7uaetmIQiCIEiSNH78\n+H79+pnVV65cyUUSAACUErsIdqJX/Z6j6/f85/8N+akJly7GZVetKgqCIKh9G/Z8qfnA117p\nFe5ufuIdbMfFxcXT0zxoOztb8y7S165dO3/+vMUhDw+PyMhIK24LAIDyzy6CnTkHt2q1Glar\n9ff/Ond8d21HW/YDq4iPj582bdq0adPkQ35+fteuXVOrzc+ffP311zds2FDSE6alpfn6+lq5\nSwAAyjG7DHZQJJ1O16tXr+7du5vV4+LiZs+ebTAY5MHOYDAMGTJk8uTJZvX4+PiePXsaDIZS\nbBcAgPKHYIdyJCgoKCoqyqzIxRYAADwggh3KO6PRKAjCihUrHBzM/7kmJCQ0aNDAFk0BAFAe\nEexQ3sXHxwuC8MEHH4ii+bUxycnJBDsAAP5BsEN5J0mSIAhbtmxxdHQ0G+rQoYMtOgIAoJyy\nwyXFAAAAYAnBDgAAQCE4FAsFysnJEQQhKipKfocUQRBeeeWVCRMmlHlTAACUOoIdFCg7O1sQ\nhH79+rm7u5sNbd68+dSpU7ZoCgCAUkewg2L16NGjcuXKZsUTJ07YpBkAAMoA59gBD8lkMvn7\n+4slGDRokK0bBABUOOyxA25Zs2ZNbm6uxaHmzZs3btzYrGgwGK5fvz5lypRatWqZDf30009J\nSUml0iUAACUj2KFiiY+P37t3b7NmzczqBoMhJibGz89Pvr5FVlZWp06dNm/ebPEJIyIiGjVq\nZFaMiYnJzMy0Vs8AADwggh0qlqysrGrVqrVt29asnpGRERMT88UXX4SEhJgNzZ07Nysrq6wa\nBADg4RHsUOGEhoYOHz7crHjp0qXVq1fbpB8AAKyFiycAAAAUgmAHAACgEByKBe5Pr9ffvHnT\nrKjT6WzSDAAAJSHYAfdx8uTJEydO+Pj4WOXZTpw4kZ6ebnEoKCgoPDzcKlsBAFRMBDvgPnQ6\nXbNmzSZNmmRWLywsfOGFF/7ts7Vv316v18tvqqLT6cLCwlgYAwDwXxDsgPvz8PCoV6+eWVGr\n1T7EUxkMhrlz58rvt7Jw4cL169ePHj1aPkWtVk+ePLlmzZoPsTkAQIVCsAOsLykp6fTp0126\ndJEPFRYWWpxy5coVnU535coV+dDu3btbtWpFsAMA3BfBDrC+5ORkZ2fnGjVqyIeMRmNJs/z9\n/efPny+vd+7c2ZrNAQCUi2AHlIrAwMDx48fL6ytXrrTWJuLi4ubOnStJksXRsWPH1q9f31rb\nAgDYBYIdYK/279+/evXqbt26yYd+++23+vXrE+wAoKIh2AHlXX5+/sKFC3/88UezekJCgqen\n57Rp0+RTYmJiyqQ1AED5QrADyruCggJBEOSHXDMyMmzRDgCg/CLYAXagd+/e3bt3NyvOmjVr\n165dtmgHAFBOEewABSoqKjp+/Pj3338vH/L392/durVVtvLpp59+9dVXFod8fHx+/PFHFxcX\nq2wIAPCACHaAAqWmpq5Zs2bDhg1mdYPBoFarc3JyrLKVnTt3SpLUrl07s3pmZmZ0dHRWVpaf\nn59VNgQAeEAEO0CZxo8fP3jwYLPinj173njjDStuJSIiYvjw4WbF+Pj46OhoK24FAPCACHZA\nxSJJ0s2bN+X1hISE9PR0i1O8vLyaN29eyn0BAKyAYAdUIJcvXy4oKPDx8bE46uzs7OzsbFY0\nGo0FBQWFhYWOjo6l3yAA4D8h2AEViFardXZ2Xr16tXxo2LBhw4YNe+mll8zqMTExzz33nMlk\nKpMGAQD/CcEOqFhUKlW9evUs1su+GQCAdRHsAJSdlJSUM2fOWBxydnZu06ZNGfcDAApDsANQ\ndqZOnRodHa3RaMzqJpMpLy/vwoULoaGhNmkMAJSBYAfgXooXLmvVqpUoimZDcXFxPXr0KGli\ndna2/FIMrVb71FNPzZo1S76V9u3bGwwGa7QMABUXwQ7AvWRmZgqC8OSTTzo4mH9czJ8/3+KU\n4tumhIeHWxzt1auXtXqLj48vbk+uZs2alStXttaGAMBeEOwA3F/fvn3ltztZtGiRxQcXFBQI\ngrB06VIvLy+zoXHjxlmrJYPBEB4ertPpLI526dJl+/bt1toWANgLgh2AUlGnTh35PjMnJ6d7\nTDlz5oxWqzUrxsfHnzp1ytXV1axuNBp1Ot2SJUsaNGhgNvTll1+eP3/+oboGAPtGsANge7m5\nuYIg9O/f3+Koh4dH9erVzYrFt9Zzc3Pz9PQ0G5Kf2wcAFQTBDoDtFV828c0339SsWdNsaPjw\n4QEBAQsWLDCra7XayMjIsmmvJNnZ2RZv3SyKYqVKlcq+HwAg2AEoL9zd3eW739RqtU2aua+f\nfvrpHhcFr169esiQIWXZDwAIBDsAynP27Nk9e/bI788iCIKTk9O6devkp+VlZmbu37/f4jFc\ntVrdr18/+YUgWVlZPj4+ixcvlk+ZNGlSVlbWw7YPAA+PYAdAafLz80NDQydPniwfGjVq1NNP\nP21xlqOjY7Vq1eT1lJQUjUYzePBgi1Msrs/GSX4AbIVgB0CBPD09o6Ki5HVJkqZPn96iRQuz\n+gcffHD9+vWNGzfKp3Tu3NniiXQPoaCgYO3atXq9Xj4kimK3bt0CAgKssiEAFRbBDkDF4uvr\nGxQUZFaUr3JWGnbt2jVixIjAwED5UFpaWmpq6jvvvFMGbQBQMIIdANyLTqfbuXOn/AZ7Bw8e\nvMeU48ePf//992b1Y8eOubi4/PLLL/IpQ4cOtdZ+QQAVGcEOAO4lJydn8+bN8nUssrKy3Nzc\nLE65fv36mjVrNmzYYFYvKipSqVQWp+h0usuXL+/YsUM+VLly5caNG//7xgFURAQ7ALiPSZMm\nde/e3aw4a9asXbt2lTRl/Pjx8ustFi9evGrVKouPv3LlyqlTp6Kjo+VDarW6oKBAvqQbAMgR\n7ADA9iRJeuWVV1566SWzekxMzHPPPXfkyBH5amwff/zx1q1bLd7VxcPD48yZM+7u7qXVLoDy\nimAHAOVXfHy8IAitWrWyONq2bdtevXqZFVNTU+fMmZOXl0ewAyoggh0AlF/Fi63t2rVLfii2\nZ8+ewcHBXbt2NavHx8fPmTMnOzvb4u30KlWqJN/JZzKZ5s2bl5mZabGHrl27duzY0awoSdLY\nsWNv3LhhcUqHDh3GjBlTws8EoBQR7ACgvPP09JQHO4sHYQVBSE9PFwQhPDzc4qiLi4v83i6S\nJGVlZTVs2FA+lJCQcO7cOXmw0+v1ixYt6tChQ+XKlc2Gzp07d/36dYIdYBMEOwBQlIKCAkEQ\nli5dKl8Gbdy4cdWrVx84cKBZPSUlZd68eTNmzAgJCTEbmjt37j2WRxs+fHijRo3Mil988UVM\nTMxDdg/gvyHYAYAC1alTR74vzcnJKSAgQH709tKlS/PmzbP4PFqtNjk5WX5PvuJjxCUxGAw3\nb96U11euXJmWlmZxSsOGDQcNGnSP5wTwIAh2AIASnT179sKFCy+++OKDT4mJidm/f7+Pj4/F\n0fDw8EqVKpkVExIScnNzV65cKX+8KIpz585t2LDhgzcAVGQEOwDAvbRp02bBggVmRa1WGxkZ\nafHxOp2ubt267733nnxowIABY8eObdu2rVl94sSJx44da9CggXzKsmXLTp06JQ92RqPx5MmT\nFpfrEEWxfv368hvEWFd+fn5qaqrFIY1G4+/vX6pbB0pCsAMAWJmrq2u9evX+1RRvb+/hw4fL\n68uXL1+5cuWePXvM6iUt1FEsODjY19fXYl2+IsjDGTly5Jo1aywOqdXqtLQ0b29vq2wI+FcI\ndgCA8kur1aanp8svCo6Nja1ateqmTZvkUzp06BASEiK/quPYsWMbN24s6WriPn36tGjRQl73\n9vYeNWqUxcZ69+4tH7p69eqoUaOKiopK+omAUkWwAwCUa4MHDy5pSTdPT0/540VRjIqKki/p\nVlRUdODAgc8++0w+5bXXXjt8+HBycrJZPS8v7/Tp00OHDrV4YNfd3T0oKMisqNfrS/pBCgsL\n5Zso5uLiEhAQUNJE4MER7AAAFYVKpYqKipLX1Wp1z5495Uu67d+/f9SoUS+//LJarTYbiomJ\nadOmjfypJEkSBGHLli3ya0RWrFjx66+/ltTb4MGDLS4W0rVr1759+8rrO3fuLL5noVy9evUi\nIiJK2hCUjWAHAIBlSUlJgiAkJibKD+CmpKRYnFK8T27ChAkqlcpsKC8vr0uXLhMmTDCrX7ly\nZcyYMQkJCW5ubmZDsbGx169flwc7vV7fqVMnV1dXeeIsKipq2bLlzp077/Oz/Tdnz56dOHGi\nxbveqNXqmTNnNm/evFQbQEkIdgAA3MtHH30kP8mvQ4cOFh9cfKHuTz/9JL+PYLdu3VxdXeVH\nbwsLCwVBmDx5svwG0RMnToyJiRk9erR8K5IkLVmy5F/dIHrBggUWjwWnpqaePXs2ODhYPiSK\n4vTp0+ULmRw7dmzPnj0DBgyQT9m0adOBAwcIdrZCsAMAoJy6du2aXq+XL+NrNBrvMaukG0S/\n9dZb4eHh8uuFY2JidDpd/fr15VPWrl1bv379p556yqweHx/v7u4+fvx4+RT5JczFrl27Nnny\nZIs7+URRfO211x577DGLE/GvEOwAACi/wsLCpk2bZlbUarUWrwgW7neD6BEjRli8j2B8fLzF\nlBYdHT116tSpU6fKh6pVq2ZxE/n5+Tt27NBqtWb18+fPr1u3rnfv3vIpP//88969ey3e/M/P\nz2/Lli3yQ+HR0dFbt2612IC7u/uSJUtK+0aG5RbBDgAA5bj3DaIf4gmnTp36+OOPmxXnzZu3\nb98+i4/PyMg4dOjQpUuXzOppaWlOTk7ykCoIwrZt24KDg+XXtSQkJGzcuLF///7yExb37dvn\n6uoqv3N1bm7u999/37JlS/nFK4IgNGvW7JFHHrHYtmIQ7AAAUJSHuEH0PWg0GvltZe69P2zY\nsGHy280sXrx41apVJU1p0qSJ/A7V69ev37hxo/D3tcZ3ysjI6Nix4+TJk83qe/fu/fXXXy1e\nvFJQUDBkyJAVK1bco3MFINgBAIDy6+2335ZfvLJr1y6LD77HxSvvvPOOxTXoFMY8zwIAAMBO\n2dUeOyn/yt7N32367UDM+fjUm7n5OpWLR6VqNcMebdGxxzP9OtXxJKYCAIAKzG6Cnen6b9Of\nH/HRjqtFkiCIaieNq6uz2ngjOT721JHdW775bPpbUa9+sWbO08Hme2sBAAAqCDvZx6U7+dHT\nvWfuLGw07KM1u04nZRcU5ufczLyZk19YkHP9/F8bP321rfOxTwc9PfNwga1bBQAAsBH72GOn\n3fHpgiPCYx/u3DEpwvmuEdHRvVpYq95hrXr1ad6v6bAln+2YHN3Dwlp7AAAAiifKLyEuf4wX\n5jxW/12nuRd2jQsueRejdv2Aqs8mTD311+Q65ivnlSw+Pj4yMtLijbD/YTAYcnNzdTqd/Kqc\nh/Diiy+uXr1ao9GY1Y1GY35+vru7u/wK7fz8fFEUXV1d5c+Wk5Pj5uYmXytQq9VKkiRfdrB4\niqurq4ODeaYvKCgwGo0Wl6DOycnRaDTyH7+wsNBgMJQ0xcXFRX49fFFRkU6n8/DwkE/Jzc11\ncnJydnY2q+v1+oKCAvnF9veYYjAYtFqtxRczLy9PrVbz+sun8Prz+vP68/pbnKKY17+goOD5\n559fvny5/NmUxC722Kk8vDxUpsTk60ah5GBnSk9J1YvuHu7/6uhycHDwunXr7h3sJEm6ceOG\nVVKdIAgzZ84cOHCgxaFLly7Vrl1bXs/Ozi4qKqpatap8KC4uLiQkRH5L7ry8vJycnICAAPmU\ny5cv16hRw+Ivdnp6evXq1eVTEhIS/P395b+lOp0uJSXF4vKCV69e9fX1lX9+GQyGxMRE+XqI\ngiCkpKR4eHjIPyYkSYqLi7P4yty4ccPZ2dnLy0s+VNKLWbwyj8V7svP68/rz+svrvP68/op5\n/QVBiIiIsFhXErvYYyeY4j/r3GDc0YjXv/nu/e41XeQPMKTunT+0/9u7an54Yu+ksAffYQcA\nAKAc9hHsBKHo9MJencdvv6GuEtGuU9sm4cF+3u7ODiZdflZq4sWT+37/41hSkXeb93/dNqWZ\nhR3WAAAAFYC9BDtBEHRXdyyYOmPR+r8S8kx39Syq3IJaPD3qf+9N6FGbVAcAACosOwp2xaTC\n9MtnT5+/ciMrT2tQubhXqhZcJyIitKrG/CwDAACACsbugh0AAAAss5MbFAMAAOB+CHYAAAAK\nQbADAABQCIIdAACAQhDsAAAAFIJgBwAAoBAEOwAAAIUg2AEAACgEwQ4AAEAhCHYAAAAKQbAD\nAABQCIIdAACAQhDsAAAAFIJgBwAAoBAEOwAAAIUg2AEAACiEg60bUKaTJ082bNjQ1l0AAGxA\nFMXU1NQqVarYuhFURAS7UuHo6CgIwvbt2318fGzdC2xg2bJlhw8fXrp0qa0bgW0MHDiwd+/e\nAwYMsHUjsIH4+Pj+/fubTCZbN4IKimBXih599NFq1arZugvYwNatW93d3Zs2bWrrRmAbGo2m\nevXq/AOomFxdXW3dAio0zrEDAABQCIIdAACAQhDsAAAAFIJgBwAAoBAEOwAAAIUg2AEAACgE\nwQ4AAEAhCHYAAAAKQbADAABQCIJdqXBychJFsXhhMVRATk5OTk5Otu4CNsM/gIqMz3/YlihJ\nkq17UKbLly+HhITYugvYhlarzcnJ8fPzs3UjsI2kpCRfX19nZ2dbNwLb4PMfNkSwAwAAUAgO\nxQIAACgEwQ4AAEAhCHYAAAAKQbADAABQCIIdAACAQhDsAAAAFIJgBwAAoBAEOwAAAIUg2AEA\nACgEwQ4AAEAhCHYAAAAKQbADAABQCIIdAACAQhDsAAAAFIJgVxpM+Snnjh48ei4l32TrVlAG\ndJlXzhw9cODo+ZLecGPO1dNHDh2/cKNQKuPWUGZMKT/PHDnqk735shGpMO3i8UOHTydmG2zQ\nF0qdPivxzNGjpxNv6iz/fusy42MOHYq5nKkr48ZQQRHsrMyY/Nv0HmF+QRHNoppFBPnV6TFj\nRwrpTrEM17bP6F3Pr1pI/WYtWzarG1jlkY7j18Zq73iELm7jxI41/YIbNI9sEh7g/+igTw/e\nJN0pj/FK9Oih7y1fveNS0Z1vr5R54JNBDQMCwppEtmhQ0++RDhM3Xeavu3JIN48seTEq2L9m\n/WbNGtT0rfro4P/bm3bnB37+qVUjI6v712oUGdmotn9Qi1HRp+XJH7AyCVakPTS1qZvoGNjh\ntY+j10T/39j2AQ6iW/MZRwtt3RhKQ86eNx/ViCqvRwdMXfztd199Pm1IUx+1qK4+eF2yUZIk\nSTLd/PXlUCfRpVb3KYu+/nbl7BHNK6tUPo8vvmiwceewLn3sws7eKkEQnLutyjDdWe7krVL5\nRr44e+W3X3/2ZrcQF9Ep7LXfs033eC7Yjfwj7z/mpXIKav/KnJXffv3F9CGNvVWiZ7uPz+mL\nx41Ja57xV6s8GgycvvTbb754b0CEu6gOHPx9Cu8/ShXBzoqMCZ93dhNdms04/neQKzg6rYmz\n6PHEsmtGm3aGUmBMWNRRIzqEv77r9t/pwtNzWruLDmFvHtRJkmSImd7ISeXV5fO4W0HOlLXj\nldpqVdUhm7Js1DRKQeHJj1p7uNSsFaS+K9iZMr8f6KtyCB37R/ativ7iwk6eKudmH5wh2ds/\nw5nZkRqVd9dFF2/lOMmUvvmFILU66OXfCyVJkgp2vlpTrfIftO76rX8SppQ1z/ip1LXG7+Gr\nPkoTh2Ktx3Ttx3V7tJoOL41q6Hyr5NJ49Oh2Lnm71v6YzPFYpTGcPhJT5BAxaHhrT/HvmnO9\n559v5WSIP3joukkwnFq//rTBp+erQ0LUxcOiV/uXhzZSp21Zuz3bVm3DyrRHPhw2/VjYm0sm\nNHC4ayB7+3e/ZKgbD3+lreetikPtF17p7q2PWbf+rLHsG4VV6Y9Grzqqq/HcW8Nr//2+i5V7\nzP9j/18bX40QBUHQ/fXdxkThkUGv9qp26wNC9Ovz6oBg4cr6tfs5Ho9SRLCzHt3JI6f0DnVa\nRvr+83deEKtEtgxV62KOnNLbsDOUBr1ngz7PDx3WuZb6jqKUn5cviaKTs5MoZZ84dtHo2KhV\nc7fb4+raLVtUFfNOHI3lPHpFyN373rCPYhu9u2JKU83dI/rzR07kqfwiW4bc8Q/ErXmrRx0M\nsUdO5HCipX0zJe3fH290a9m+hYugz4yPOXTgyLnkfKFyaPPI5nWrOQmCMeHYiTTJrXmrhk63\nZzk1btVUY0o9fuwq3/RRegh2ViNlXruWZ1IF1Qi880VVB1YPUJtyExM5Y15p3FqPX7pq6bhW\nrrdL0s1dnyw7pNdEdetYRTQlJyYZBbeg6j7iHbPUATUC1MZrCdfYZWP/pJu/vTXi06tRM5dP\nfNRZNBs0JiUmm1SBwXd9HqiqVA/UCIZrCUn8YbdvxsTLCUa1fzXthpdbBvnXahTZsnlE9aq1\nH//floTiL/GmpMQkk6pa9UCnO6c5B1avqjJeu8LvP0qRw/0fggdj0ublm0SVxk1z5ye8qHFz\nFYv34wiC+Uc/FMSUeXTlmyMnrYz1aPfRp6NqqQR9fl6+SXR1c73r25Po6qoRJWNeXoEgOJf0\nXLAHUtqWCSOXprf/dOurdR0F8y9uUkGe1ijJ33+Nq0aU8nPz+aJn36T83HzJmL5izAh1rb5v\nfNy1rlfuuW3LF30/u9/juVsPLOhcyZSfl28SfWTvv5tGlK7n8f6jFBHsrEZ0cHAUJclouPur\nuMFgEARBrVZbngUF0Kfs+eLdiTOij2S4NRiyZPXCFxu6CIIgOjo6iILRYLz7I9xgMAr8g7B/\npuR1Y8d8rX38iy9G1bb0MSo6ODqIwq33/46vdEaDgbdfCSRBEKQCoem8v36dUK/4O9rQET1D\nWrWdvXz6qtc7jq/u4OAgCkaj2e8/7z9KH4dirUb08vFSiaasm1l3/iKbsjKzTKKqkrcnu+uU\nSMo+vnRY83rtX/s6ue7oxXvOH/lyZEOP4rdaVcmnkkrKuZl119nw1+PoAAAK30lEQVR0xf8g\nXL0rOVl8PtgJ7bZ3xn2fWe+ZgY8k7N29e/fu3X/+FZspCVJG7F9/7t5z/GqB4FzJ201lysq8\n+ySMops38yXRy6cSnwf2TXRzdxNF98fHvFjv9p53t2YvDG7kUHT0z4N5xb//pqzMu/4eCKas\nzGyT6OXtxfuP0sMeO6sR3UPDglS/xJ2/ZBACHP+uGi7HXjaoAsNCPfhFVhwpY8ekLn0+PuXW\nduK6JVP7hrnf9R6rAsNC3YUjl2LjjULEP1/QC+IuXjU6hIeH8qtn13QZ6dmmwtRFz3VcdFf9\nwOye7Wc7Nv/w5P5JtcNrq42xsXGFwqP/XD5jiI+N0wsedcKC2GVj39Q1a9dUi1oPz7tOqFB5\nenmqJJNeZ5DUtcJrO0i/X7iYIXXw+/uTwZR28VKm5NikrsW9vIB1sMfOehwbdmrrKyXt+DXm\n9hWwuuPbfr8uVGnXqZHjPWbCHkmZP0544ZOT3gNW798+p59ZqhMEQXCO6tTazXBm2/Yrt4/O\n5+3ZtidPHdKxYwh/2O2aW9vJX629y7KXGjkKjo3HLF+79pv3ewWq1CEd2oeoc/78Zc/tpQaM\n8du3xxrdW3duyfmVdk4V2K59mCpr3x/HCm8XpewDe0/qHYIj6nmKok/bTk0cdYd+2ZH+zz47\nKW3HtiN6xyad2vrwRR+lyNY30lOUwkNvRTiqvDvOPZEnSZJkyjn6YbtKKsf6/zvE/SgVx5Sy\n/AlXUdNlSVLJt5HP/mVkdbU6sO+qS0WSJEmm9J1vNNao3Np8fIEb1CqNKX3lk853rzxhuPB/\nrV1Vrk2n/JlpkiRJKohd1stPpa4xalt2yc8De2FMWPakt0pT74UvT+WYJEkyZh5a2Kemo+jW\nev55gyRJkil59dM+Ksc6I39MNkiSJOmvbRxW20FVuc/XLD2BUkWws67cg7Pa+KhEl4CG7Tu3\njajqLKort/vwcJ6t24L1Ff0yoopKFB2cXOQq9V+TI0mSJJnSfh3f0F1UuQc369ipVR0fB9Ex\nsNfS80U27h3WZyHYSVLh2cXd/R1ER9+6bTq3bxzkKooeTd7Ykc6fdWUwJKwdUstFFFUa35A6\nNSs7q0RRE/b8t3H6fx6Q+N2QWi6iulLtlp06tnjEUyW6hA5dzzpEKGWiJHHZtXUVJfyxcsnX\nO04mF2oCG3YZMmZY++qcJ69Audve6vfRAcs3kHdq/fammZ2Lb3An5cVuXbZ03Z/nbhg8ajbt\nNvzlZ1tU5TCsAuX8MqX/nONN3lz/4RMed5QNqQe++XzV1qMJeY7V6rZ75qWR3ULdSnwO2Bsp\n69SmZSs37Yu9odMENujwzIihj4fedVaG6WbM+sXLNh+4dFOsHNqy98iX+jbgwhmUMoIdAACA\nQnDxBAAAgEIQ7AAAABSCYAcAAKAQBDsAAACFINgBAAAoBMEOAABAIQh2AAAACkGwAwAAUAiC\nHQAAgEIQ7AAAABSCYAcAAKAQBDsAAACFINgBAAAoBMEOAABAIQh2AAAACkGwAwAAUAiCHQAA\ngEIQ7AAAABSCYAcAAKAQBDsAAACFINgBAAAoBMEOAABAIQh2AAAACkGwAwAAUAiCHQAAgEIQ\n7AAAABSCYAcAAKAQBDsAAACFINgBAAAoBMEOAABAIQh2AAAACkGwA1BhFSXH7PnzUFyOZOtG\nAMBKCHYAKipT6oZxnTsOWnTK8GCPL0i/mpiYpn2IGGjIvnru+MEDR85czTH++9kA8MAIdgDw\nQIq2vx5RM2zkprx/M8mUvu+TIU0DqwXXaxLVsnn94CqBUSOXHs9mHyGA0uFg6wYAQLF0J+f3\neWrKXn3IU2+8PbB5lYJLu75auGrFmC6Jxv1bx4Ty+QvA6vhgAVCR6DLizsalS94h9UKrOFp6\ngCk/5dLFxPQCB6/AWnVqVLr1GP31UwdOn041CqaM83t37wmsE/mov9O9pwiClPXD+x/+lRfw\n7Lq9q/tUEwVBEAYNHxzVp9mLP82Y/dvzK550K92fFUAFxKFYABWDlHX4s+ca+fmFNo6MahIW\nENB42IpT+XceEpVyTywf1SqocmBY46jHWjWrX7Oqf+PnPj+WKwmClLnljS5d3tmhlXR7Zz3V\nvsuEHzKk+0wRBMEYe+RErhjQa3j34lQnCIKgDh4wtKuHlH5o/8UHPLMPAP4F9tgBqAgMFxc/\n88S4Hdm+UUPfe7ZNUNH5rcsXvTzY0dUg+BY/QMrYNObJ0d/m1O7x5lv9mgY658b/9fUni78d\n92xQs5OzW1QZ9NWF9j+MazL6l5YfH13Wu0rlquL9pjgKgkto5yHDArpH3LVrsCg/Xy+Izi5O\noqU+AeA/IdgBqACyf5ox/fesyt0+37N+dB1nQRCE4c93Htu22+fn/g52+sM/b7+hbjRt/fqp\nDYqD2DPP1M4M7rPu0JEbphaB7lVr1KjqJgqiq2+N4BoeDzJF5dDwxUUrX7y7Ee2xhZ/9VuAQ\n9uQToeoy+tkBVCQcigWgfAV7f/w1XVVnxLvDi1OdIAiib6f/jWvv8s9uM8d2c05cTfh9coPb\nu9cMJkkUBIO+pGOm/3KKlHvuu4mPPznjkKrRhEVvNLZ4hh8A/DfssQOgeKbUS5eyJbeuUQ3u\nTFOqqi0iQ9R/FBT/n6jxCdDo0s7u3nToVGzc5fjLF47/ufNIuuke+evBpxgzjn418413luxO\ndqjde87GpRMf8+JALIDSwB47AIon6XV6SXRxc7376KfKy7vSP5+BUta+Od3Dg+t36PfyzFXb\njiebAju++lo3/3sdL32wKdrY78a1rRc1fNFpv4Fzfz0ds+GNxyqT6gCUEvbYAVA8VeVqVRyk\nE4mJWZJQ9XaoMqWlpplu/XfB7qnP/e+X7Nbvbl89pVMNjSgIgqDf98ayudtLfNYHmZJ3eHb3\nJ9/eIzUZuWLbhy809ua7NIDSxacMAMUTvZq3jHAo2rtu0zXT7WrR8R+2Xr51Mpwx8eDBayav\n7m/8r/OtiCYIQuGN1HssEfEAU7R7pw2Zukfs8smffy4ZRqoDUAb4oAGgfOqwwaM6eWl3vPXM\nlJ+v6QRBkAoufDtm6KdnjbcSmapSZR8HIe/E3uO3FgzTp+ye//yEdRkmwaDX3/FMkk6nkx5w\nSt5vS1dfFBq9Pv/lCE0Z/aAAKjqCHYAKQBU87PNFA2tqD87tXtMnILS2X+W6z32nGjKhT9Xi\nD0Gxat/Xh4WqTs1pX7t+m84dWoQF1e6+zKH/oEaO+sPzB/af91ehIKgqV/VV6f54p0vXHm9u\nyZDuOyXv3IHDWSZDzIxm7hpzXp0WXjHdp2cA+Pc4xw5AheDwyOCvjz3ad+nyTX/Fphk8uwzr\nO+bV3vqV6TFOtb1EQRC9H1+w988Wn6/+PSYh1+2RgX2nDhraPcxwIMh59tZEtagWBcGx1Ztf\nzitauP1ijqOrRn3/KYLBK7RNez+LB3MdI/xduIICgPWJklTyKSQAAACwHxyKBQAAUAiCHQAA\ngEIQ7AAAABSCYAcAAKAQBDsAAACFINgBAAAoBMEOAABAIQh2AAAACkGwAwAAUAiCHQAAgEIQ\n7AAAABSCYAcAAKAQBDsAAACFINgBAAAoBMEOAABAIQh2AAAACkGwAwAAUAiCHQAAgEIQ7AAA\nABSCYAcAAKAQBDsAAACFINgBAAAoBMEOAABAIQh2AAAACkGwAwAAUAiCHQAAgEIQ7AAAABSC\nYAcAAKAQBDsAAACFINgBAAAoxP8Du4HYk3BDnSIAAAAASUVORK5CYII=",
+      "text/plain": [
+       "Plot with title “Histogram of data2”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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FrMPHD058+71/Syeza/QLJ2DWg5dNGB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\ncEIQdJ1mboud5Nio7Dey62diE8ySd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+      "text/plain": [
+       "Plot with title “Histogram of data1”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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QcAACAJwg4AAEAShB0AAIAkCDsAAABJEHYAAACSIOwAAAAkQdgBAABIgrADAACQ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",
+      "text/plain": [
+       "Plot with title “Histogram of data2”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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FrMPHD058+71/Syeza/QLJ2DWg5dNGB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\ncEIQdJ1mboud5Nio7Dey62diE8ySd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+      "text/plain": [
+       "Plot with title “Histogram of data1”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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6Tn/aaHrli7t/w/3b8jWhXm+9tGNqy8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\nRK5CYII=",
+      "text/plain": [
+       "Plot with title “Histogram of data2”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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FrMPHD058+71/Syeza/QLJ2DWg5dNGB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\ncEIQdJ1mboud5Nio7Dey62diE8ySd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+      "text/plain": [
+       "Plot with title “Histogram of data1”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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489cShGFqbnB76qV3Z703rFbO4H7Dlw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\nAJCJ/wcjNKV1QnvHfwAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "Plot with title “Histogram of data2”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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FrMPHD058+71/Syeza/QLJ2DWg5dNGB\n42sHBGS8I1/j0/2H/Zs+6xDglPZzJCv3uu+v3DWvpVP2z3FJzq3nbVnUr3qRtDaRrF3Kthyz\n8eS+mW3Sn6CSenrm5z9H59ZJpxy935ywbzTrj2OrxnWtXjR9g4aksS/TYfLGFQNLvbDBNgef\nQGa/NQt/gACySZI5ew4UHPKTG3+eCUuQhRCaIuXqVSr6wt0YxqiLf1yMMgohJOtileuWdZGE\nHHvtxLnwJFkIjVPp2tV8bJ//gamx4ddv3ouOS5HsnL1KlS3hksnWTjnh/pWLNx6mWjv7+AcU\nd3z+z5QTo25cvx31xGDn6lOqTDFTD8GTEyOvXbn50OBSqpK/h03KbwOLt/0+0ii0Pu/vuTG/\niZUQQsgPLh65EGUUQmjcytev6PHST0t+EHrxeqxdyYoBHnaSEML48PLRCxF6WQihcQ2oW9lT\n3D9/7MojoxCSlWelegHp10czfgplalfzTv8Uku+eOxEaY8zwcZmVjff7729B414hqEL29lQY\n4u5eCw2Llp18A/y9CmuSws+evBZrFEKy9a4aWCZDApv9BNKfU5PFby27354m8c6ZP68/Ngoh\n2fpUCyz90mA4AK8aYQcgXzOErhs/+/eHRiGkQnWGzHynevrAr5STY6vX//KiXgjroLmXD40s\nyfUHAGDzBID8TVP48dmVP/yWIAuhWX/RodT6z5t6SQ/PrBrd/+tLeiGEZF8/+HVfqg4AhOCM\nHYB8L+HPL1q2+OyPtEmkksbGvpCIj082ykIISevRYt7ezcMq2Zr5GQBQMPB/cwHkc4Vqjfvt\n2M+fdqtR1EaSZGPyk7hkoyxpCpcI6vPFthNbqDoAeIYzdgCUQk56cDP0VuTjFE0hF69SZYs7\ncS8JADyPsAMAAFAJLsUCAACoBGEHAACgEoQdAACAShB2AAAAKkHYAQAAqARhBwAAoBKEHQAA\ngEoQdgAAACpB2AEAAKgEYQcAAKAShB0AAIBKEHYAAAAqQdgBAACoBGEHAACgEoQdAACAShB2\nAAAAKqGz9AJyRo6/fWLvvmPnLt+MiH4Sn6KxdXAu6hdQJbBJs3qlnbSWXh0AAIAlKSfsUsN2\nzxgxfNbmK48N8ksvSoVKthg2e+GkLqVtLLA0AACA/ECS5ZczKf+RIze/Uy946S27gFY9erRr\nWKOcr6eLvY3WkBwfExkWei5k9/o1W8898gheeXx1D28uLwMAgAJJGWGXenJslfqzk99ctf/7\nYF/rzI4wPtg3ukX7r+OGHLwwp36mRwAAAKicIs5uGe/8ceSGVG3g2K6ZV50QQuPWZPyIZla3\nTxwPN+bp2gAAAPILRYSdELIQQpIkU4dIGq3W5AEAAADqpoiw0/g0aFBKPrNkxqaw1CwOMT46\nNOOrPSk+tWtzix0AACiglHGPnZAjNw2oE7wszL5821692j/dPKEzpsTHRNwO/Stk17qVm049\nKNLlp+M/9y5O2QEAgAJJIWEnhEj5Z8fU9z+Yu/NGvDGTx53Y+TZ7b9aCqd39bS2wNAAAgPxA\nOWEnhBDC+OTG0T37j/91+VZkTFyCXmNr71zUN6ByYOPm9cs6K+eZfAAAALlAYWEHAACArCjs\nLBcjxQAAALKinLBjpBgAAIBJCrkUy0gxAAAAc5QRdowUAwAAMEsRZ7cYKQYAAGCeIsKOkWIA\nAADmKSLsGCkGAABgnjLusWOkGAAAgFkKCTvBSDEAAAAzlBN2QghGigEAAGRNYWEHAACArCjs\nLBcjxQAAALKinLBjpBgAAIBJCrkUy0gxAAAAc5QRdowUAwAAMEsRl2LTR4pNNDtSbNGgE8fD\njfVLZv+cXVRU1PDhw/V6vYljkpOTr1+/fv78eTOzLwAAACxKEWGXiyPFbGxsSpYsaTAYTBwT\nHh5+4cKF1NRUa2vOBQIAgPxLSZdiU3qvPbC4a3GrzI4wPjo0vlWb2Y8G7780t8Erzq+QkJCg\noKDk5GTCDgAA5GfKOGNnVWvk9N5rg5e9UfWEmZFiI7nBDgAAFFTKOGMnhCVHinHGDgAAKIJy\nwk4IYaGRYoQdAABQBGVcin1G41AqqEupoC6WXgcAAED+o7CwY6QYAABAVpQTdowUAwAAMEkh\nYSdHbn63cdpIsUEfZjFSbGZwo1uMFAMAAAWXMjZPWHakGJsnAACAIiji7Fb6SLGBZkeKWd0+\ncTzcmKdrAwAAyC8UEXa5OFIMAABANRRxj53Gp0GDUvLsJTM29TIxUmzGV3tSfAbXzu+32N27\nd+/ChQsmDtBoNA0bNtTpFPGrAQAA+Ygy6kFNI8U+++yz5cuX29nZZXXAkydPdu7c2apVq7xc\nFQAAUAFlhJ2QPDp9d2BT8fc/mLt9wfit819+3c632YdrFkztXjyfn68TwmAwtG3bdurUqVkd\nEBgYqNfr83JJAABAHRQSdkIIa9+2k7e1Hm2BkWIAAACKoLAYYqQYAABAVpQVdsaEyFthj208\nfb2drIQQhodnf12x8eiNGG3Rik26vtm6nCPbYgEAQMGlmLBLvb310/5Dv9kfligLG+/mn65Z\nMzj+84adFl1OTnvA8uzJ09rP3bbu/SpZbkoAAABQN4WEXeq5GV17zDpl9K7ZNsjf6vaR3yb1\n6XXU8cCdUj2+nDggyDP52u+Lp87eOqrP9LonJ9fM7/tiAQAAcoUywi754KJFp/UVR+45PLuh\nsyTkyPW9qvZYe6X65FPLP66kE0I0aNi6oXuLKiN//OHIpzWbUnYAAKAgyvdPBxFCCOOdc389\n0FbtNSjIWRJCCMmjTefXCmt9GjUJeBamWr/2r1fXRp0/x0gxAABQQCki7GR9ql6W7B0KP9sb\nYeNe1FnrUsQ1w/IlW1tbSU5JTZUtsUQAAACLU0TYab1K+dnpz+zeG/E02qyCpp+5vXuEv/bf\ng+JOn7igt/EpUVSb6c8AAABQO0WEnXBo0atT0cfbRr4+cN6G/advx8nCyr6Ih2uhpw2XfO/o\nokEjVkU4tuzSzNGiKwUAALAYZYSd5PL6nFXjgqzO/vhh9+avf3kiNcNrqUfHVnTxCXpvXVix\nbl/N6uHOo+wAAEABpYxdsUJIbk2mHAjtc2DLrqN3S5TIeLVV0joUr9mmbvOe7w/tUaOIMkIV\nAAAgFygl7IQQQuPo37S3f9MXvqoLHLfrsEXWAwAAkK9whgsAAEAlCDsAAACVIOwAAABUgrAD\nAABQCcIOAABAJQg7AAAAlSDsAAAAVIKwAwAAUAnCDgAAQCUIOwAAAJUg7AAAAFSCsAMAAFAJ\nwg4AAEAlCDsAAACVIOwAAABUgrADAABQCcIOAABAJQg7AAAAlSDsAAAAVIKwAwAAUAnCDgAA\nQCUIOwAAAJUg7AAAAFSCsAMAAFAJwg4AAEAlCDsAAACVIOwAAABUgrADAABQCcIOAABAJQg7\nAAAAlSDsAAAAVIKwAwAAUAnCDgAAQCUIOwAAAJUg7AAAAFSCsAMAAFAJwg4AAEAlCDsAAACV\nIOwAAABUgrADAABQCcIOAABAJQg7AAAAlSDsAAAAVEJn6QXkhBx/68imdb/uOXbu8s2I6Cfx\nKRpbB+eifgFVApt2CO7WzN+RTAUAAAWYYsLOeH/PpL5vz/g9LFkWQtJa2xUqZKM1RN69eeX8\nnwe3rpo/aWzdod+tmdnJ18rSKwUAALAMhZzjSvlrRqfOU/YnVes/Y82Bv8NjE5PiH0c/in4c\nn5T4+P7lPzZ+NbShzemv3uw05WSipZcKAABgIco4Y5fw+1df/ymCpu//fXRFm+dekazsiwbU\n7xxQv2OX2t1q9v92/u9jlnWwt9AyAQAALEkRZ+wMd/6+8FBbo1tweZssj9H4dO3Z2Db2yqW7\nhjxcGQAAQP6hiLDTODg5aIwRd++bajbjg3sRqZK9g70i3hIAAMArp4gKkoq27Fjf5tq3H3yy\n7VZSpkfoI47MGvzFEU31Vk2LSnm8OgAAgPxBGffYaUoO/Hr6tuYj570esLJio2YNa5Tz9XSx\nt9EZU+JjIm6H/hWyd9/p8GSX16Z9836A1tKLBQAAsAxlhJ0QNpWGbTlZ/uvPJy/YsHft33vk\njK9JmsI+gT2njJv4YYcyhSy1QAAAAEtTStgJIayLN/9oafNRix7cuPj35VuRMXEJeo2tvXNR\nX/+KFct62HEFFgAAFHAKCrs0kq1b6RqNS9ew9DoAAADyG0WFHSPFAAAAsqaYsGOkGAAAgGkK\nOcfFSDEAAABzlHHGjpFiAAAAZinijB0jxQAAAMxTRNgxUgwAAMA8RVQQI8UAAADMU8Y9dowU\nAwAAMEsZYcdIMQAAALOUEnaCkWIAAACmKSjs0jBSDAAAIHOKCjtGigEAAGRNMWHHSDEAAADT\nFHKOi5FiAAAA5ijjjB0jxQAAAMxSRNiljxT7xOxIsSHbr1y6a+jgn/1n2f3zzz8tWrQwGEzN\ntEhKyvypyAAAAPmKIsIubaTY7bv3DcI3y2vH/22kmLe394wZM/R6vYljrly58tlnn+XkpwIA\nAFiAIsIubaTY8G8/+OS1ddPa+9m+fIQ+4sicwV8c0VSfnsORYjqdrnPnzqaPCQkJIewAAED+\np4iwY6QYAACAecoIO0aKAQAAmKWUsBOMFAMAADBNQWGXhpFiAAAAmVPEA4rluJsn9u/740r0\nv1dgjY9OLR3dJbCUW2HbQi4+lZv1n7bpSpxs4mcAAAConSLCznhj+aCWLXp8czb9oSRy5Pah\nDV57e/amP8NTXUr4Fkm9eWjZp10Dm4w7EE3bAQCAAksRYfeChP2Thy6+YlVr+PrLD2PuXL10\nLSI6/Mjcdo5nZg34dF+cpVcHAABgIQoMu9TjGzeHaWuPXzGnq7992pYJK4/6I5bO6ep8e92y\nffEWXh4AAICFKDDsku7eeSD5NWpc+rkn1kkuQY2qah9fvRxuajoYAACAeikw7KyLuDmK5KSk\nF26nk+Pj4mXJ2saG554AAICCSUFhl3D92L6Tl+8+loLe6Fzs3ra1B2Izpl3SX2vWnzUWq17d\nS0FvCQAA4BVSTgUZH+0a1zqwvI+zg89bW57INxf3fW/jA1kIIYz3//h2WMs2U05pag56p561\npRcKAABgGYp4QLG24qgd59teuRoaGhp6Ne1fmsSEqH9uP5aFmySSDs4bOf+IrnzfxatGVbay\n9GIBAAAsRBFhJ7T2xcrVLlaudpMMXzMkxqVYa4QQwqpizznrPurYsa63jYXWBwAAkA8oI+wy\no7Wzt0v7d1aVurxXybKLAQAAsDzl3GMn4i6vn9C3Va3SnkX9qrYc/NWB8NTnXtafnt6sXPkO\n31zhcScAAKBgUkrYJZ2b0yGox+QVe84/FIaov39fPLJVg97Lr2VoOznp4T/XroU9SrbcIgEA\nACxJGWFn/OfHURMOPin15g9no6LvR0beCvlhQEDUhqH9v7qQav67AQAACgRFhJ38cO+2kCSv\nnnMX9q/iKAlN4eJ1B3z7y4ym2qNTP/rpttHSywMAAMgXFBF2xgf3I/W6ivVqO/07VUJXdtCc\nUdWT90ybtuexBZcGAACQbygi7DTOrs4aw+2bt/UZv2pVZfiMgSXDl30843iipVYGAACQfygi\n7CSPoIblpNAfJ357ISHj1x2aTPyqn+ffcwd8tCOCC7IAAKCgU0TYCW2ldyf29IneNTywfP2u\ngz5edjYp7euSa5svv3u/zK1vu9Ru9u53x58bHgsAAFDAKCPshOTR6bv9P49q5vHw+K9Lvtpw\n7tm1V8mt1bzfN48LMh5duvzIA07bAQCAAkw5kydsSnWetafT5KjrV2/pvRwyvKAp2nzK76FD\nTu///Y+z14y13KQsfwQAAICaKSfshBBCSHbuZaq6Z/b1YjXb9q3ZNu9XBAAAkF8o5FIsAAAA\nzCHsAAAAVIKwAwAAUAnCDgAAQCUIOwAAAJUg7AAAAFSCsAMAAFAJwg4AAEAlCDsAAACVIOwA\nAABUgrADAABQCcIOAABAJQg7AAAAlSDsAAAAVIKwAwAAUAnCDgAAQCUIOwAAAJUg7AAAAFSC\nsAMAAFAJwg4AAEAlCDsAAACVIOwAAABUgrADAABQCcIOAABAJQg7AAAAlSDsAAAAVIKwAwAA\nUAnCDgAAQCUIOwAAAJUg7AAAAFSCsAMAAFAJwg4AAEAlCDsAAACVIOwAAABUgncWH4EAACAA\nSURBVLADAABQCcIOAABAJQg7AAAAlSDsAAAAVIKwAwAAUAnCDgAAQCUIOwAAAJUg7AAAAFRC\nZ+kF/Cf6hJiY2CfxKRpbBydXF3srydILAgAAsDwlnbEzPDy9ZsrANjX8XO0dXN2LlfDz8/Es\n4ljY2adK877jfwy5l2LpBQIAAFiSUs7YyY+OTO3WbfKBCINk5166Yv2ani72NlpDcnxMZNi1\nSwdWfrF31cLFo37eMqOFB6fvAABAwaSMsJOjt3/Uc9JBQ93hy+aODq5dzPb5eEt98NfWBWNH\nTpvTZ0Tg+VXd3Ek7AABQECniUqwcs/PHDXfdey7eOrdv4ItVJ4SwcqvSZcKGtSP8H25ZsSta\ntsQSAQAALE4RYWeMvH0nSVuuTi0nE+fi7GrUq26bei88yph3CwMAAMhHFBF2Go8SPraGyydO\nx5o4G5d8/s/zyVaexdwU8ZYAAABeOUVUkOTcpn9Xr6jVgzqNWX0q8uXNr4boS1unBQfPvujS\nrldrV+6wAwAABZMyNk9ILu3nrBp/veu0Ob1qzxvsFVAxwNfTxd5GZ0yJj4m4HXrxclhsquRU\na8Tar7qzKRYAABRUygg7ISTXhpP2XWi7av7ClZv2nTh94GJq+lVZycrBy79BzyE9Bw/t85q3\njWVXCQAAYEFKCTshhNB51Ok3uU6/yUJOjYuOjo1L0Gts7Z2LuDJ5AgAAQCjkHrsXSZJGo9FI\nkpAkkg4AACCdksKOkWIAAAAmKOVSLCPFAAAAzFBG2DFSDAAAwCxFXIplpBgAAIB5igg7RooB\nAACYp4iwY6QYAACAeYqoIEaKAQAAmKeMzROMFAMAADBLGWHHSDEAAACzlBJ2QjBSDAAAwCRF\n3GP3IkaKAQAAvExJYcdIMQAAABOUcimWkWIAAABmKCPsGCkGAABgliLC7ulIsfVb53Z2yaTa\n0kaKecXXaLhwxa7orn1y9ii7u3fvJiUlmT4ghwsGAACwAEWEXfZHin11LTzKKFy12f7R169f\nL1OmTHaOlGWG0AIAgHxNEWGXNlLs6InTsXLxzM7YCSGejhQrmcORYqVLlw4LC0tJMbXx4vTp\n0927d2cHLgAAyOcUEXZpI8W2rBjUqWj83NHdanpYP/+6IfrSjoWfDJ990aXTpzkfKebj42P6\ngPv37+fwRwIAAFiAIsKOkWIAAADmKSPsGCkGAABgllLCTghGigEAAJikpMkTzzBSDAAA4GVK\nCjtGigEAAJiglEuxjBQDAAAwQxlhx0gxAAAAsxRxKfbpSLHFW+f2DXyx6sTTkWJrR/g/3LJi\nVzQDIgAAQMGkiLDL/kix1HvhUca8WxgAAEA+ooiwSxspdvnE6VgTZ+PSRop55nCkGAAAgGoo\nooLSRopFrR7UaczqU5Evb341RF/aOi04ePZFl3a9cj5SDAAAQB2UsXmCkWIAAABmKSPsGCkG\nAABgllLCTghGigEAAJikpLATQgj947Br4Qb3kiU8vF1feCklNuJBvMbBw91BaW8KAADgVVDE\n5gkhhBCJl9cMa1TC2dW3fIVSHkUrdZm29/5zDzZJ/XNKUAnfFnMvGiy1QgAAAItSSNjJ9zcM\nbNlnweFHRWq3D+78WmlN6KbPOjQb8dtDnkYMAACQThlhpz+7YNK6cMdms0MuHN2ybuPBq3f/\nXhpc9OrCwR9vJ+0AAADSKCLsjPf+OHJVBAz+YlgV+7Sv2AX0/W7xQL87yz+ZfTLJsosDAADI\nJxQRdnJ8XLys9fb1ybArQnJqPmFKF5fLCz/96RZDxAAAABQSdhqPYp5W+osnz8Rl/KpUNHja\npw3FvokfrQkn7QAAABQRdpJz0/av2d1bOeK9n87HZtj0qi377vzP6sX/OvSNiYcesBkWAAAU\ncIoIO6Hx6TdrajOn66sGVPUq5l/3o11P0l+wqjB86cJg15NTmwVUe/eX+5y4AwAABZgywk4I\nm8rDtx7dNLlP41JWUZevReqfvWBVps+KA5sndCgWdfmfeHbIAgCAAkxBQxpsS3f4dFmHT19+\nQVe89YSNrcfF3r50IfSxm59SWhUAAODVUlDYmWHlVKJK/RKWXgUAAIDFcHoLAABAJQg7AAAA\nlSDsAAAAVIKwAwAAUAnCDgAAQCUIOwAAAJUg7AAAAFSCsAMAAFAJwg4AAEAlCDsAAACVIOwA\nAABUgrADAABQCcIOAABAJQg7AAAAlSDsAAAAVIKwAwAAUAnCDgAAQCUIOwAAAJUg7AAAAFSC\nsAMAAFAJwg4AAEAlCDsAAACVIOwAAABUgrADAABQCcIOAABAJQg7AAAAlSDsAAAAVIKwAwAA\nUAnCDgAAQCUIOwAAAJUwHXaG81+2qv360BlrjtyKM+bRigAAAPCfmDljZ+cg39i58JOeDUt7\nlgzqMeabzafvJ+fNwgAAAJAzpsNOW+b93eFhpzYv+LhnLesLv8z+oFOt4p4BzQdM+GHP5Wh9\nHi0RAAAA2WH+Hjtbz+qvvzd9xYHQ+7f/3Dz/4zeqGv9cMeWdlhW8fKpzkRYAACD/yMHmCVuv\nGq+/P33lgdD7t0N+HFrP6eG5rQueXaSdv/1yLIEHAABgQTnZFWuM++fYxm/G9m3frP27C0Ii\n9cLGo3Kr4C61rf7eMHtYhypVui8NTc21hQIAAMA0nflDkiLO7d+6edPmTVv3nr2fKAutfYnA\nDsM6d+nSuV2DMk5aIeT4fw5+P2rAR7+OmbKz+/LX7XN/1QAAAHiJ6bAz3vqpZ/PhG248NsiS\ndZHyDfv279ylS6cWNYrZSRmOkgr7Nn5/TPCizfNu3XhgFPY8Gw8AAMACTIed/DjstiGgw3ud\nO3fu3L5hOVerLI/UFGvzyddlfNoUp+oAAAAsw3TYaSuOPXTjM51k8iAhhBAan0ZvDWn0ihYF\nAACAnDNzgk2r00n6uwe/GdqhboNxh9K2RhguTm/gXbHF4K8O3eNRdgAAAPmGuSun8sMdQxu1\nHL5w58UnWuu0L0kOfgFFIg8tGdmy0XvbouRcXyIAAACyw8yuWMP5+eN+vOHSes6ONSNqOKVd\nktUUf/OHcx1Gftu71bClY78Z0npy9WxsrX11UqJvXfr78s2I6CfxKRpbB+eifgEVK5R2t83G\n9WIAAAA1M7Mr9t7hg5fkCmOmDXtadekk+0qDpr67ZMfUQ0fuGavnzY6J1HuHFk2cNH/dwWux\nhufOE0pa++J1Or87fuKItqXs8mIlAAAA+ZGZXbEJcfGyxqNYUe3Lr2nci7pp5NiEhDy5GJt8\nYWHnFh/suq9xCXita3CNcr6eLvY2WkNyfExkWOi5owcOrxzfYefuL3/bMboGbQcAAAomM7ti\ni5XzdzRs3/Hb3cH9vZ8/LSff373zlN6+VdlimUTfq2a8uWTYmN/iqg3b+POXnTI7K5dy78DM\nPsETJwxb2PHQKP88WBEAAEC+Y+Yiqn3zwW+VjdsxvO2A+XuvPzakfVFOvBPyw5AOw7bElujR\nv7lD7i9Sjti9OSS5zLvzZ2VadUIIa6/G45aMq2c4tXNvBNs5AABAwWRu30PhBlPWf33r9ZHL\nhzVfPqKQq6eHozbp4f2IxylCV7TJlNVfNnfMg0Uan8Q+MWo8fbxMrVbjWdzbWr71JM4oBKfs\nAABAAWR+24NdpXfXnz277euPerWo6m2vEVYuZep1enfqymPnfxtb1zFP9qJqfSpVLGI49cuG\nqylZHmO8t/nnQ0mO/gF5cWkYAAAgH8rWk0okx4C2w2a1HZbbi8lSoeYfDKu19tNPGje+MmbU\nW+1fq17awy6934zJj/45H7JrzTczF+6JrjD2vZb2FlslAACARWUr7FJjb1+5cic29eW716TC\nJapVK17olS/rRdZVP964Ia7XO3O+H9VtyShJ0tk6Otrb6Iwp8U8eJ6QYZSHp3GoPXbl2Ql32\nxAIAgILKXNjJMUdn93zj011hKZnuSdBVnXjq1IQqeXD1U1uszRd7Lw3Y/8u6zfuO/3X5VmRM\nXIJe4+LhV8U3oHJgkw7B3VuUc8qT5+kBAADkT2bCTn9q1jvjdt11rN7jnW51Szi+dLTGLdA7\n72pK41imWf/xzfrn2R8IAACgIGYmT9w+fPCa7Df45wMLmuXBY02yhZFiAAAAmTIddobIe5FG\nm5qN6uWHqmOkGAAAgClmJk94eHloUm9d/8cgylv2KSKMFAMAADDDdNhpSvYZ//Z3Xea8P73h\nz+OC3Cy2N4GRYgAAAGaZDjv54fVo/y5tXP/3eaMyPwUG1Srn6174uWrSercdM6ZNsVwuvvSR\nYh/Mn9WplHWmR6SNFPut3Cc790Z86F+M++0AAEABZGbzxN1dM0dPP6cXQiReP7rj+tGXvr2q\n24DRbYrl1uqeLoORYgAAAGaZuceuwod7/nkn80fYCSGEkKwdPXK/otJGiq37ZcPVd0eVy/yU\n3dORYs0ZKQYAAAoqM8+x0zm4F8sHO2IZKQYAAGBWtkaKicRb+1Yu+/XI+VsRcV49Fy7qnrBz\n06NKHRv65f4ssXSMFAMAADDHfNilXlsxoN2QVVfjZSGE0FWtF2dMPP1t/wF7vbv8b9PywZXz\nKO4YKQYAAGCaubBLOjGp66BVYcXaTZg+rluhtV27HxRCcmr9yaxe/4xdNeyNUlVOz6xnmycr\nFYwUAwAAMMVM2CXu+27JBV3DObt+HV5Wp/9zq1YIISStZ4Nhy7bbPKjy3k+L906q1y5PL38y\nUgwAACBTZkaK3T7/d7S2ZtfOpV86TuPTrkMN7d5LF8IM7fLmicCMFAMAADDFdNhJ1jbWkkhJ\nSc3sxeSkZCHpdLo8OVXGSDEAAAAzzIwU865d28ewcNVPp4dMqfX8Lomks8tXnTJ4vF3NOw92\nLDBSDAAAwCwz99hZ1x06psWy96a3bhzx+ad9i8akysbU+Ac3/tj97eefzDujC5w+5DWb3F9k\nLo4UMxgM27dvT05ONnHMlStXcrhgAAAACzC3K1ZbatDKTQ9795r8/fCOS4QQQkyr7zlNCEnr\nWvuD1es+qmSV+2vMzZFiYWFhgwcPNh12er1eCCHLWQ/gAAAAyAfMP8dOKvLauB2Xe/+xacOO\nI+duRDzR27j4lAts0bV764queXTNMxdHivn5+d27d8/0MSEhIUFBQZLEvlsAAJCvZW/yhFSo\nRIOeHzbomcuLyRIjxQAAAMwyE3Yp0XfuPErO+hqkZOPq4+OSxUm0V4iRYgAAAOaYeY7d5a/b\n15x4Tp/1t1edeOrUhCp5cEmWkWIAAACmmXmOnUeDAR9/cs+Q8WtycvTtS0f37j0fZVOp78TJ\nXUrkXU0xUgwAACBrZp5j59nsg6nNMnnBGHNmQd92I9ctCxn47uu5szKzUiLO/f7b4Qt3E6zd\nStdo2iKolCMn7AAAQEH2H1tI41z9/Xmj6hgv/Lj0cMqrXVEmDNeX9m/SqMu800+vCctPTs8P\nrlS6ert+w8aM/XjEwG6NAkoFDl51OTHXlwIAAJBvZW9XbGY0xUqWsJbC7Gzz4Ckg8bfPHDny\nsGJs2i4O+cHmoR1HbLjnUqPnBz2bVPK2jb1+fPMPPyzp3052PvFduyI8lgQAABRI/z3s4o7u\nP5mo9Svtl9cDvIw3ls9ee9eh2bzD2z94+lS73u8ObDWwTqdlE78b0XpcBUaKAQCAgsh02MkP\njq5cERJpfPHrhvjwPzct23hDU/7Nhj55fWdb8pnjZ/VFgkcMzPisYsm99Qf9Ki2bvu9Q5NgK\nXpyzAwAABZDpsDPe3T1nTBaPO5FsfNt9+cNH1f/7Ob//yKDXGzXuXp4vDDPTuhV10xofx8Qa\nhRen7AAAQAFkOsu0ZQetOd4+4eUHFEs6B68ypb0KW6Kg7KrWqqj5/eLlGLmmW4ZTc4kX/wrV\nW1f3KcreWAAAUDCZOd9m51W+hlferMQcOWLtkCY3q1UoV96/SLmyyesmjt7U+PvO3mlpmXJn\n+9gxy+8UavhZEyeuwwIAgILJzD120Wc2bzr98KV77DKl9WvSu1mp3LgyK7nVfL17G6fLoaGH\nN4bsTJXTziCunvPzZx1HltKI5N8/KP/6/JvJTg2+mNbHmxN2AACggDJzj13YlomDTI0Uy8im\n3U8dm5ZyyYUTZppi7Sevbi+EEEL/5P7Na1dDr4aGht4QVRwlIYQwPHqQ4tdq+Jjpk/pVs3n1\nfzoAAIAymLnHrsJHO3envv76F6e15du/1ff1+hWKOWri710M2bxs6barDm0mzhtex/lpyWmK\nlC+c65dBdQ6eZat7lq3eMMPXCnVfFRYscQUWAAAUcGaunGpidsyef8ah45KDaweUfXY2rF23\n/sPfW/pmo8ELNvUfuLyLu6WbSqLqAAAAzIwUkx/t3rg/vsI7E/qWfeEap3WZvhMGVYj69aed\nj17eMwsAAIC8ZzrsjA8iovQaFzeXTA6TXN1cpZT7d6Oyt7UCAAAAucvMPXaeviXs9Lu37Qwb\n+q7v83FnDN+57ZTeqqGXW65vQ5WfhF28+UifnTODkp2nv39R29xeEQAAQD5k5h47p9b9uhTb\ntGxMx8E233/Ru5Z72rSH1KhTqz8dOOq3OOeOwS2L5Pr9balHJjRqvzRbD13RVZ146tSEKkye\nAAAABZCZsJNc2s9ZOS606xc/DAhcPsq3nL+Po3h85+rlf6JThJ1/3++/6pkHc1mtW33154FG\niyaNm7vvrtG5Rtc362c5XULrHejGRgoAAFAwmX2esOTaaPL+v1ot/2bRml1//HXp9FWDtXOx\nam27dRow4v3OFRzzpKI0Dn6v9ZuxsUhU+Y4rHFp89NWXgXk+oBYAACDfy1YhWRULent60NvT\nc3sxpjk279rCZeUxyy4CAAAg38reqa/EW/tWLvv1yPlbEXFePRcu6p6wc9OjSh0b+hXK5dU9\nz7pK215trPwZBgsAAJAZ82GXem3FgHZDVl2Nl4UQQle1Xpwx8fS3/Qfs9e7yv03LB1fOu7jT\nFA/+anNwnv1xAAAAymLuWSVJJyZ1HbQqrGi7CetCzm/9wF8nhJCcWn8yq1eZiI3D3ph4NCkv\nVgkAAACzzIRd4r7vllzQNZy+69eJwfXKeRbWCiGEpPVsMGzZ9rmtCl39afHexLxYJgAAAMwx\nHXaG2+f/jtbW7Nq59EuXbDU+7TrU0MZcuhBmyLXFAQAAIPtMh51kbWMtiZSU1MxeTE5KFpJO\np2MvAwAAQH5gOuw03rVr+xhOr/rpdMKLLyWdXb7qlMGjajXvXB8pBgAAgGwwU2XWdYeOaVH4\n3PTWjQd9veXY9ZhU2Zga/+DGHyvGtOsw7YwucOiQ12zyZqEAAAAwzdzjTrSlBq3c9LB3r8nf\nD++4RAghxLT6ntOEkLSutT9Yve6jSla5v0YAAABkg/nn2ElFXhu343LvPzZt2HHk3I2IJ3ob\nF59ygS26dm9d0VWbBysEAABAtpgOO/3pqY1f/95v9pkVPRr0/LBBzzxaFAAAAHLO9D122lLl\niieFHz95KdNtsQAAAMhHzDzuxLnTtHldDSvHzgh5ZMyjFQEAAOA/MX0pVn507nTSa32bLZrV\nqPSKek3rVypepLBVxhbUFms5fHgLL554AgAAYHGmw854Z9vU9yae0wshxJPDG0MPv/TtVe17\nftDCK5cWBwAAgOwzHXba8iN2Xn8rRc7yAMna2YutsQAAAPlB5mH36FFsIScnW62wcvIq4ZTH\nSwIAAMB/kfndcUU9W/wv1PDvfzbERd29G/VEn0eLAgAAQM5la9uD8ea3Hf18W8y9aDB/LAAA\nACyD/awAAAAqQdgBAACoBGEHAACgEoQdAACAShB2AAAAKpHFA4rlpKibV69I6dln/CcqUYjk\nB7euXLF5/nHEkq2bn28R61xeJAAAAMzLIuz05+e2rTD3hS/O71hx/ovfXnXiqVMTqjB8AgAA\nwOIyD7t27dtn75F12pL+jtKrXA8AAAD+o8zDbtPWrXm8DjyTkpIyYsSICRMmZHWAj4/Ppk2b\n8nJJAABAEbK4FAvLMRgMtWvX9vf3z/TV0NBQqg4AAGSKsMuPGjRo0LBhw0xfOnz4MGEHAAAy\nxeNOAAAAVIKwAwAAUAnCDgAAQCUIOwAAAJUg7AAAAFSCsAMAAFAJwg4AAEAlCDsAAACVIOwA\nAABUgrADAABQCcIOAABAJQg7AAAAlSDsAAAAVIKwAwAAUAnCDgAAQCUIOwAAAJXQWXoBOSPH\n3z6xd9+xc5dvRkQ/iU/R2Do4F/ULqBLYpFm90k5aS68OAADAkpQTdqlhu2eMGD5r85XHBvml\nF6VCJVsMm71wUpfSNhZYGgAAQH6gkLCTIze/2zh46S27gFaDPmzXsEY5X08XexutITk+JjIs\n9FzI7vVrts4MbnRr5fHVPby5vAwAAAokZYRd6p/zPll+27v3mv3fB/tav/hq03ZvDP7ks32j\nW7T/+rO5x7rMqf/SEQAAAAWAIs5uGe/8ceSGVG3g2K4vV106jVuT8SOaWd0+cTzcmKdrAwAA\nyC8UEXZCyEIISZJMHSJptFqTBwAAAKibIsJO49OgQSn5zJIZm8JSszjE+OjQjK/2pPjUrs0t\ndgAAoIBSxj12VrVGTu+9NnjZG1VPtO3Vq/3TzRM6Y0p8TMTt0L9Cdq1buenUgyJdfhrJDXYA\nAKCgUkbYCcmj03cHNhV//4O52xeM3zr/5dftfJt9uGbB1O7FOV8HAAAKKoWEnRDC2rft5G2t\nR984umf/8b8u34qMiUvQa2ztnYv6BlQObNy8flln5bwXAACAXKCwGNI4lArqUiqoi6XXAQAA\nkP8oLOwYKQYAAJAV5YQdI8UAAABMUkjYMVIMAADAHGWEHSPFAAAAzFLE2S1GigEAAJiniLBj\npBgAAIB5igg7RooBAACYp4x77BgpBgAAYJYywo6RYgAAAGYpJOwEI8UAAADMUFgMMVIMAAAg\nKwoLO0aKAQAAZEU5YcdIMQAAAJMUEnaMFAMAADBHGWHHSDEAAACzFBF26SPFJpodKbZo0Inj\n4cb6JbN/zi4uLm7mzJkpKSkmjgkPD8/RcgEAACxCEWGXiyPFEhISzpw5k5SUZOKY2NhYIYQs\nv3xrHwAAQD6iiLBLGyk2e8mMTb0Wdy1uldkhT0eKDc7hSDEPD4+tW7eaPiYkJCQoKMhMVwIA\nAFiaIsKOkWIAAADmKSPsGCkGAABglkLCTjBSDAAAwAyFxRAjxQAAALKisLBjpBgAAEBWlBN2\njBQDAAAwSSFhx0gxAAAAc5QRdowUAwAAMEsRZ7fSR4oNNDtSzOr2iePhxjxdGwAAQH6hiLDL\nxZFiAAAAqqGIsEsbKXZmyYxNYalZHPJ0pFjtHI4UAwAAUA1l3GPHSDEAAACzlBF2jBQDAAAw\nSyFhJxgpBgAAYIbCYoiRYgAAAFnhyiUAAIBKEHYAAAAqQdgBAACohBLusTPc2vP9lotJcjYO\n1bjXffPNOm48qBgAABRASgg7492DCz//8nyswXza6apObPRGHTdtHqwKAAAgn1FC2FnVn3r2\n7oCdU9/qM+NwrGenafN6l8mq3DTOFfy4ugwAAAomJYSdEEIqVKrtpP+9t7XOl6kBTbp0DVTI\nsgEAAPKQgk5vWVVu2shTQesFAADIW0o69aWr3m/6F1V9mBoGAACQGSWFneRcu/eo2pZeBQAA\nQD7F2S8AAACVIOwAAABUgrADAABQCcIOAABAJQg7AAAAlSDsAAAAVIKwAwAAUAnCDgAAQCUI\nOwAAAJUg7AAAAFSCsAMAAFAJwg4AAEAlCDsAAACVIOwAAABUgrADAABQCcIOAABAJQg7AAAA\nlSDsAAAAVIKwAwAAUAnCDgAAQCUIOwAAAJUg7AAAAFSCsAMAAFAJwg4AAEAlCDsAAACVIOwA\nAABUgrADAABQCcIOAABAJQg7AAAAlSDsAAAAVIKwAwAAUAnCDgAAQCUIOwAAAJUg7AAAAFSC\nsAMAAFAJwg4AAEAlCDsAAACVIOwAAABUgrADAABQCcIOAABAJQg7AAAAlSDsAAAAVIKwAwAA\nUAnCDgAAQCUIOwAAAJUg7AAAAFRCZ+kF4BVLSEi4f/++iQM0Go2fn19eLQcAAOQdwk5tPvro\no0WLFpk+Zt++fU2aNMmb9QAAgDxD2KlNYmJi27Ztx48fn9UBzZo1S0hIyMslAQCAvKHMsNMn\nxMTEPolP0dg6OLm62FtJll5Q/mJlZeXo6JjVq5LExwUAgDopafOE4eHpNVMGtqnh52rv4Ope\nrISfn49nEcfCzj5Vmvcd/2PIvRRLLxAAAMCSlHLGTn50ZGq3bpMPRBgkO/fSFevX9HSxt9Ea\nkuNjIsOuXTqw8ou9qxYuHvXzlhktPDgfBQAACiZlhJ0cvf2jnpMOGuoOXzZ3dHDtYrbPx1vq\ng7+2Lhg7ctqcPiMCz6/q5k7aAQCAgkgRl2LlmJ0/brjr3nPx1rl9A1+sOiGElVuVLhM2rB3h\n/3DLil3RsiWWCAAAYHGKCDtj5O07SdpydWo5mTgXZ1ejXnXb1HvhUca8WxgAAEA+ooiw03iU\n8LE1XD5xOtbE2bjk83+eT7byLOamiLcEAADwyimigiTnNv27ekWtHtRpzOpTkS9vfjVEX9o6\nLTh49kWXdr1au3KHHQAAKJiUsXlCcmk/Z9X4612nzelVe95gr4CKAb6eLvY2OmNKfEzE7dCL\nl8NiUyWnWiPWftWdTbEAAKCgUkbYCSG5Npy070LbVfMXrty078TpAxdT06/KSlYOXv4Neg7p\nOXhon9e8bSy7SgAAAAtSStgJIYTOo06/yXX6TRZyalx0dGxcgl5ja+9cxJXJEwAAAEIh99i9\nSJI0Go1GkpiOBQAA8C8lhR0jxQAAAExQyqVYRooBAACYoYywY6QYAACAWYq4FMtIMQAAAPMU\nEXaMFAMAADBPEWHHSDEAAADzFFFBjBQDAAAwTxmbJxgpBgAAYJYywo6RYgAAAGYpJeyEyJ2R\nYvfv3x8wYEBqaqqJY2JjY4UQssx2WwAAkK8pKeyeeYUjxRwcHOrUqZOYlGg1NQAAIABJREFU\nmGjimPDw8JMnTzK+DAAA5HNKCjvDw9M/L1y0/Nc9xy+GxSQb006gSVaOxcrVbtqh57tDe9f3\nss7pzyxcuPCECRNMHxMSErJy5cr/tGQAAIC8o5SwY6QYAACAGcoIO0aKAQAAmKWI59gxUgwA\nAMA8RYQdI8UAAADMU0TYMVIMAADAPEVUECPFAAAAzFPG5glGigEAAJiljLBjpBgAAIBZSgk7\nIXJnpBgAAIBqKCnsnpGs7F097F2FPvb25Uunrlu7lQwo7f7yU1AAAAAKFEVsnjBG7F8wccLs\nbTcNT78iRx9f8FZtbw+/yoH16lTz93Qr3WLk6ovxllwkAACAhSnijJ0ccWjJtKkPBzce3r6k\nVgiRfG5mh5ZjQ+IK+9XtUL+St23s9ZMHDn7Vp+HfDw9tH1Yhx/NiAQAAVEERYfc8OWrDpC+P\nJpZ5a92eb7v5pmWcHHNsSofWkz7/ZHW3zW95cVEWAAAURIq4FPu8lBN7Djwu3PazmV19n52c\nk5zrjpnat8STfZv2MlIMAAAUUEoMu5iYRE3xihWcnz8xZxNQsawu5e6dSEaKAQCAgkmBYWdb\nsrS39OB+ROrzXzbcvXPXoHFycVLgWwIAAHgFlFNBcvTh7ybO+nb11hDdax3LP/l17pJLyf++\nmnpr7Yyl/9fefcdHUed/HJ+Z3c2mkwIBkhAipACRjqEXKSJFQUHFU2kq/BQQRRRFxENBFDwQ\nTAABT8hxeHC2syG9JHSQEgRCGgmEEtIr2Ta/P4KYSHYSSnaTyevpX+73M5sP8/jO7HtndmbO\niq16defREwAAoI6qHRdPOHo39nH5PXbDh29uuPmaOGPyF49vfdlfEownPx8z9t3/Hs9q9Lcl\nE8M0duwTAADAjmpFsNOETN6UNsmYdzk5Pv7cjf/i45PruZReJ2E8s/W7k+bWYz5fGzGC43UA\nAKDOqhXBThAEQRB17r4hHX1DOvb+64jjg/MOXwgIa+xEqAMAAHVZ7Ql21kk+offbuwcAAAC7\nqz0XTwAAAECRGo7Y4R6yWCwxMTEGg0Ghpn379t7e3jZrCQAAVBHBDuVs3779oYceUq558cUX\nV65caZt+AABA1RHsUI7BYHBycjp06JC1glmzZhmNRmujAADAjviNHQAAgEoQ7AAAAFSCYAcA\nAKASBDsAAACVINgBAACoBMEOAABAJQh2AAAAKkGwAwAAUAmCHQAAgEoQ7AAAAFSCYAcAAKAS\nBDsAAACVINgBAACohNbeDQC4l0pKSoqKihQKnJ2d9Xq9tdG1a9euW7dOYXFJkpYtW9a8efM7\nbxEAUG0IdrjHkpKSsrOzFQo8PT2bNWtms37qmuDg4AsXLigU+Pv7KxTs2rXr0qVLAwcOtFYQ\nERFx9uxZgh0A1EwEO9xjnTp1Ug52Hh4eygW4G1lZWTNmzOjQoUOFo8eOHVu6dKnyOwQHB48f\nP97a6IoVK+6qPwBAdSLY4R4zGAyRkZG9evWqcDQ6Onr69Ok2bqmuCQgIaNWqVYVDmZmZNm4G\nAGBLBDugZsnJyZFlWaHAzc1Nq625W25eXp7ZbFYocHd312g0NusHAOqUmvvxANRB0dHR1g52\n3jRlypRKT6faS0xMTM+ePZVrpk6d+umnn9qmHwCoawh2QA2Sl5en1+u///57awWLFi3Kz8+3\nZUu3JTc3V6/XR0VFWStYtmxZbm6uLVsCgDqFYIeaZdWqVZ9//rlCgVarjYqKCgkJsVlLNiZJ\nkr+/v7VRZ2dnWzZzByRJsvYLP0EQPDw8bNkMANQ1BDvULPv27SsuLla+3UZ8fLyKgx0AAHeM\nYIcah9ttAABwZ3ikGAAAgEoQ7KAqhw8f1ul0oqKZM2fau00AAKoFp2KhKunp6RqNZvny5dYK\nvvzyy8uXL9uyJQAAbIZgB7WRJKlLly7WRn/66SdbNgMAgC0R7IByunbtGhcXp1AQEhJy4MAB\nm/UDAEDVEeyAcmJjY0eNGmXtTmxnzpxZv369jVuqU9LT0wsKChQKXF1dfXx8bNYPANQuBDvg\nrzp06GDtuV5OTk4Eu2oVFhaWkZGhUODt7a1cAAB1GcEOQA1SXFy8cOHCbt26VTi6f//+2bNn\n27glAKhFCHYAahZnZ2d3d3drQzZuBgBqF4IdAPU4ffp0TEyMQoFGoxk1apSLi4vNWgIAWyLY\nAVCPTz75ZOPGjZ6entYK0tLSfH19Bw0aZMuuAMBmCHYA1EOW5f79+8+dO9daQXh4uMVisWVL\nAGBLPFIMAABAJQh2AAAAKsGpWOBeSktL27dvn0KBg4PD4MGDdTqdzVoCANQdBDvgXnrvvfei\noqKcnJysFeTn52/atGngwIG27ApVlJGRsXjxYrPZrFAzePBga/evBgC7I9gB95LZbB48eLDy\nj/dNJpMtW0LVHTx48KOPPgoPD7dWkJiYePXqVYIdgBqLYAcAf9Lr9atWrbI2OmvWLFs2AwC3\ni4snAAAAVIIjdgBQUyQlJR09elShQJKkIUOGODo62qwlALULwQ4A7pnQ0NBz584pFAQHBysU\nzJs3b8OGDcpPzvjll18efvjhu+oSgHoR7ADgnklLS5syZUqbNm0qHI2NjV29erXC4haLpdIn\nZyhftHuXIiMjL1y4oFDQpEmTSZMmVV8DAO4SwQ4A7qUWLVp06dKlwiGj0WjjZm7XjBkzmjRp\n4uHhUeFoTk5OamoqwQ6oyQh2AIA/TZkyxdr9XKKjo6dPn27jfgDcFq6KBQAAUAmCHQAAgEoQ\n7AAAAFSC39gBgHqkpqYqP7POz89Pr9fbrB8ANkawAwCV2L17d58+fZRrJk2aFBERYZN2bpvR\naNy0aVNJSYlCTffu3X19fW3WElDrEOwAQCUKCgr0ev33339vrWDRokWFhYW2bOm27NixY/jw\n4W5ubtYKiouLR48erXwvQKCOI9gBgHpIkuTv729t1NnZuVr/+sqVK1euXKlQoNVq165dGxoa\nWuGoyWRydHTcu3evtcVnzZqlfH/m8+fPZ2ZmKhR4eXndd999CgVAbUewAwDcG/v37y8uLh44\ncKC1goiIiISEBGvB7u517NgxKytLocDT01O5AKjtCHYAgHsmODh4/Pjx1kZXrFhRrX+9pKRk\n4cKF3bp1q3B0//79s2fPrr6/np2dvXjxYoPBoFAzbNiwrl27Vl8PAMEOAKAezs7O7u7u1oaU\nl126dOmSJUsUChwcHL755ptWrVpVOLp///558+aFh4dbWzwxMfHq1asEO1Qrgh0AAIIgCMeO\nHXNzcxs+fLi1gvnz5ycnJ1sLdrIs6/X6VatWWVt81qxZyg3k5OQonyn28vKy9iRfoBTBDgCA\nGwIDA0eOHGltdMGCBdX611u2bHnlyhWFgoYNGyoXAAQ7AABqhPz8/Dlz5lg7mXv48OGPPvpI\nYfGMjIzjx48rFOh0uh49emg0mrvqEjUbwQ4AgJqifv361m5Yk5ycrLzszJkzFU4El9q8efND\nDz1kbTQlJUX5hjKNGzd2cnJS/hN3LDs7OykpSaFAkqS2bdtKEk9DVUKwAwBADYxG47Bhw+bO\nnWutIDw83Gg0WhvduXNn3759lf/Eyy+/HBkZeectKnrrrbeU74MoCMKWLVsGDBhQTQ2oA8EO\nAAAIRUVFlT65pKioqPoaMBgMlQZT5bvJQCDYAQCAUnf55JL27dunpKQoFAQEBCj/ChB3j2AH\nAADugfj4+PHjx7dp06bC0djYWJ7zawMEOwAAcG+0aNGiS5cuFQ4p/Lzvnjhw4ED37t0tFotC\nzRtvvFHd96yxu1oV7OTC8zHfb/hu64ETZ5OvZucXGiRHN4+GgaFtwvs+8uTIfiHuXCgDAECd\nlJmZqdPpoqKirBUsW7bs2rVrtmzJLmpNsLNc2Tpn9PMfb7tQIguCqHFwcnbWa8zpl5LjYo/s\n/vHfEXPe7jL5868WDG+qs3enAADADiRJsvZcEEEQ6shDO2rJMS7DyY+HP/bBzuvtxn381a5T\nabnF1wvzsrOy8wqvF+ddObv32yWTe+l/W/L08A8OF9u7VQAAADupHUfsirYtWXpE6D5/57Y3\nwvTlRkSda8PQbo+Fdhv2+AMjO45bEbHtzbWPuNqpTQAAAHsSZVm2dw+VMp9b0P3+dx0Wnts1\ntan1Q4xFXz/l80zK7Ni9b4ZU/WkpycnJnTt3NplMCjUmkyk/P99gMOh09+A87wsvvBAVFaVw\n5+68vDxnZ2ettuLMbTAYSkpKFI4nFxUVWSwW5fd3dXW19m8xGo2FhYVubm7WFi8sLNRqtQoX\nvefk5Dg5OdE//dM//dM//deo/ouLi0ePHq36K3NrxRE7ya2em2RJvXTFLFgPdpaMy1eNoqub\n622dXW7atOnGjRuVg50sy+np6fck1QmC8MEHH4waNUqhICkpKSAgwNqGYTKZUlNTmzVrZm3x\nrKwsQRC8vLx4f96f9+f9eX/en/cvKywsTGFUHWrFETvBkhzRv/XUo2Gv/nvDvKGBjrcWmK7G\n/GPsE+/sCpx/POaNUB5vDAAA6qLaEewEoeTUZ8P6v7YlXdMgrHe/Xh1aNG3k6arXWgyFOVdT\n40/u277jt7QSz57zNv/6VqdKbowNAACgUrUl2AmCYLiwbens9yO/3ptSYCnXsyi5+IcPnzDz\n79MeCSLVAQCAOqsWBbtS8vWMpNOnzp5PzykoMkmOrh4Nm4aEhQX7OIn27gwAAMC+al2wAwAA\nQMVqyQ2KAQAAUBmCHQAAgEoQ7AAAAFSCYAcAAKASBDsAAACVINgBAACoBMEOAABAJQh2AAAA\nKkGwAwAAUAmCHQAAgEoQ7AAAAFSCYAcAAKASBDsAAACVINgBAACoBMEOAABAJQh2AAAAKqG1\ndwO1j4ODg9FotHcXAADUOWvWrBkzZoy9u6jRCHa3TafTLVy4sEePHvZupFaKiYl5++23o6Oj\n7d1IbTVnzhxBEN577z17N1Jb9ezZc/78+Wy/d4bt9y6x/d6lnj17ent727uLmo5gd9tEUQwK\nCurYsaO9G6mVrly5IkkSa++Ole7UWIF3TJIktt87xvZ7l9h+75IkSaIo2ruLmo7f2AEAAKgE\nwQ4AAEAlCHYAAAAqQbADAABQCYIdAACAShDsAAAAVIJgBwAAoBIEOwAAAJUg2AEAAKgET564\nbQ4ODg4ODvbuorZi7d0l1t5dYgbeDdbeXWLt3SVmYFWIsizbu4da5vz58wEBAZLEwc47YbFY\nUlNTAwMD7d1IbZWdnS0Igqenp70bqa3Yfu8G2+9dYvu9S2y/VUGwAwAAUAliLwAAgEoQ7AAA\nAFSCYAcAAKASBDsAAACVINgBAACoBMEOAABAJQh2AAAAKkGwAwAAUAmCHQAAgEoQ7AAAAFSC\nYAcAAKASBDsAAACVINgBAACoBMEOAABAJbT2bqCWMeddOHPustE9sGWwj6No725qEcPlkwfP\nZVvKvyg6+LbuEuzJelRSuPvDcavd3/5ycvsKNlZL4eW4s6lFzgEtQhu78C2tIsZjEc/Py3t+\n3czejmVfZkJWgSHrfHzylXzBo2mLkArnF/tDRabcC/FJl3LNrn4hLZq4a8oOFaYcPXq+QC5f\nL7o07dAx0JUVWcpSdCUhLiXT6OjTrEWz+voKVot8/VrCmeQcXaOQFgH1CDNlyKiikoRvpj3o\n7yQKgiCIGo/7R316IMti76ZqC+Px2a1v3e6kRhO3lNi7tZrNkv7VSG9Nwxc337KeTGlb/j40\nyFUSBUEQJdfmQ+dsvWS2R4s1W/7WlwI1jo+tzy//MhNSmfHC5jnDW3pqb3yYik4BD7761dnC\nMhXsD5WYr+1d/GwHnz/CiOjQsPMLn/+Wc3MFlWx/yffWoKwNm/Wb0Z5t1xjF5za82qeJ0x+r\nT3ILHjLr59Sy68aSuX/xqNY3Zqjo6N9n2reJbLt/IORWjZyz5bVBTy+/0GTIjMhRbZwubl++\n8Mtpg7P1B3/+vyBN5YvXecak+BSzw/1PvTmyZZkpJ7p2bM7as0Yuufb7lmWvv/ZtptzglsHi\nw+8/+tgHJz36TF40tqtX5r4vP1n+9+HDxD3R73bQ26HXGsmYfW732pkTVqeYNe1vGWNCKsiP\nmTVk+IJTDq2fePfDYWGuOae3fPHZ+iXPDkjXHPzXE40l9oeVMJz8x+OD34oxNhs8/Z1RDzQo\nTtj1r8++/OKlAanm/T+/FKwVBDk7ITFT8Og87pVBTcvkO8mnV2OOuwtC/o43hzwbkeLT6/8+\nHtPnPoesU5s+/+yreSMfFXbt/yDcURAEwXQu8snBr+/UPDB+/sS+/kUnvlq0ZPGowaZNhz7t\n684BT4EjdlVjOjGnnYNUb8CyRFPpC5acbZOCNJLPc9/l2Lez2sEU93FnnTZ0xkG+jlZNyfbX\nQus5iDd2UdJfj9iZU5b1dxEdO71/7PqNV4qPvtdBL7o9vOoiR+1kWTb+Nq9bfUfpj138LUfs\nmJAKzCmRfZ1EbYtXd+XePMJ0/dSCHq6iNnTGQYPM/lCZJXvjk56Sxv/Zb67cXH+m8/98tL4k\nNRr/S4Esy7Jh3/QgjUO3fySwtd7Kkr5mqKuof2Bu7M2dnuXat8/6SpLP+F+KZFmWLVn/HVVf\n0gZP2ZF7o8AY/1k/d0nf6cPfTXbpuabh60FVmGK//vqUyevRyc81u/F1VKzX5+Wx7TTXfvzP\nllz79lYrmJPjk83aoJZ8m68iTdMBk2d/uHDhJwumD/S7ZaVZLv6wMbrI6cH/m9D2j8Nzju0n\nTuztWLDrPz9csvy1vA6SGnYfP3PugoWfLJw9IriC0xJMSAWmU0dOlGjDnh7f48+DH/pWo0d3\nczAlHzx0xcL+UJk57sjxfNF32PihDW+uP03Tp8Y+5CZnHNofbxIEoSgpPk12Cwn15wP4VsZT\nh44VaUIHD23h8MdLonevvm11ltzUlBxZEITcLRs2ZWraj5/Uy/1GgTZozKShnsYTG78+bbZP\n1zULp2KrQM49/lu8Wdej2wMuf76oCeoa7iOeOH40zvREOKtRkSU9ITFH9PWTd34y5evdpy4W\nOPq17vPEhImPtfZgx1YhTfNBk6cNEgTBfKpo/ZKtl8uPGk4eiTVqQ7p2rv/nWQexQeeuwZpt\nJ47EGgX/On82VvLt/fxrvQVBkC+v+PXjby78ZZgJqcTo3vrx0WPD+pc7Ky0XFhTKouigdxDZ\nH1bCMbj/c+N8h4bpyr5YUlhoFES9o4MoCKbz55KMmkCfwq/fn/i//XGXS9wCO/R/euLzg4K5\ncEIQdJ1mboud5Nio7Dey62diE8ySd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+      "text/plain": [
+       "Plot with title “Histogram of data1”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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9x49LO9nvjH1iMPOOqo7stOnshOFiyaO33S+K+Hv/ncU4NHzarT8/FzHGAHAGys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\nNOjifwAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "Plot with title “Histogram of data2”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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FrMPHD058+71/Syeza/QLJ2DWg5dNGB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\ncEIQdJ1mboud5Nio7Dey62diE8ySd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+      "text/plain": [
+       "Plot with title “Histogram of data1”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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TtDWl5vWuiK+nWu/e3hfdGqMD/e81WD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\nAAAq8f8HhM6FNf+FFAAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "Plot with title “Histogram of data2”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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FrMPHD058+71/Syeza/QLJ2DWg5dNGB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\ncEIQdJ1mboud5Nio7Dey62diE8ySd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+      "text/plain": [
+       "Plot with title “Histogram of data1”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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3XGHNkXJwvTkz1fNK60uVXjUjZ3A3fs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\nYAcAAKAQBDsAAACFINgBAAAoxP8Du4HYk3BDnSIAAAAASUVORK5CYII=",
+      "text/plain": [
+       "Plot with title “Histogram of data2”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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f8CyTKPb5P+Cw6eWtvTN/mMfI3nh78e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\nSUVORK5CYII=",
+      "text/plain": [
+       "Plot with title “Histogram of data1”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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QcAACAJwg4AAEAShB0AAIAkCDsAAABJEHYAAACSIOwAAAAkQdgBAABIgrADAACQ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",
+      "text/plain": [
+       "Plot with title “Histogram of data2”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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f8CyTKPb5P+Cw6eWtvTN/mMfI3nh78e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\nSUVORK5CYII=",
+      "text/plain": [
+       "Plot with title “Histogram of data1”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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6Tn/aaHrli7t/w/3b8jWhXm+9tGNqy8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\nRK5CYII=",
+      "text/plain": [
+       "Plot with title “Histogram of data2”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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f8CyTKPb5P+Cw6eWtvTN/mMfI3nh78e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\nSUVORK5CYII=",
+      "text/plain": [
+       "Plot with title “Histogram of data1”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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489cShGFqbnB76qV3Z703rFbO4H7Dlw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\nAJCJ/wcjNKV1QnvHfwAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "Plot with title “Histogram of data2”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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f8CyTKPb5P+Cw6eWtvTN/mMfI3nh78e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\nSUVORK5CYII=",
+      "text/plain": [
+       "Plot with title “Histogram of data1”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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9x49LO9nvjH1iMPOOqo7stOnshOFiyaO33S+K+Hv/ncU4NHzarT8/FzHGAHAGys\nMiPsQqz+oQ8OHdzsjDPveP3eS1/tv/r9lZp3O/eZe687opn9OgBgY5UhYRdCyGl+wDWv7Xf+\nhBHvfPDZ1+Mmzpi7cHFRvGLVmg2at92y8+577bxZzcx5LwAA60GGxVC8WssuPVt26Vne6wAA\n2PBkWNgZKQYAsDaZE3ZGigEAlChDws5IMQCAdDIj7IwUAwBIKyN2t4wUAwBILyPCzkgxAID0\nMiLsjBQDAEgvM46xM1IMACCtzAg7I8UAANLKkLALRooBAKSRYTFkpBgAwNpkWNgZKQYAsDaZ\nE3ZGigEAlChDws5IMQCAdDIj7IwUAwBIKyPCbulIsavSjhS7/+SRn01J7rzpuu/ZTZ8+vU+f\nPgUFBSU8Zt68eSGEVGr1b4ABADYgGRF263GkWJUqVTp16pSfn1/CY6ZMmfL555+n+fEAAOUt\nI8KueKTYbQ/fPPiohw5rVmFND1k2UuyUUo4Uq1q16tVXX13yY4YPH/7UU0+V5lUBAMpBRoSd\nkWIAAOllRtgZKQYAkFaGhF0wUgwAII0MiyEjxQAA1ibDws5IMQCAtcmcsDNSDACgRBkSdkaK\nAQCkkxlhZ6QYAEBaGbG7tXSk2ElpR4pVmDTysynJMl0bAMCGIiPCbj2OFAMAiIyMCLvikWJf\nPnzz4MmFa3nIspFi25dypBgAQGRkxjF2RooBAKSVGWFnpBgAQFoZEnbBSDEAgDQyLIaMFAMA\nWJvMCrvk4hkTJ8/Pbdi8SY0KIYTEH1+99OSLIybMzWrQYY/D/rlfu+pOiwUANl4ZE3aFk169\n7Pi+93wwOS8Vcpvsddkzz5yy6Iquh94/Lr94wNht11zf/Y7Xnjtjq0rlvFAAgHKSIWFXOObm\nw3rfOirZZLsDurSpMGnYW1cfc9SI6kN/a9n7pqv6dGmY/9O7D11326vnHXPjjp9fs53zYgGA\njVJmhF3+h/ffP7qowznvfHxb15qxkJrxwlFb9372h22uGTXgwi2yQwi7dN2va729tzrn0f8O\nu2y7PZUdALAxyoirgyR/G/P1rKytjzq5S81YCCHE6u/fY9cqWU1326Pt8jDNatH94G2yZo4d\nY6QYALCRyoiwSxUVFqViVatVWX5uRG69BjWzatWpvcLyYxUrVoylCgoLU+WxRACAcpcRYZfV\nqGWLSkVfvv3e9GXRVqHLjV9OevvsNll/Pmjh6JHfFuU23aRB1hpfAwAg6jIi7G66qXUAACAA\nSURBVEK1vY86tMH81845+KQ7B30wetLCVKhQtU792pWXNVz+1BH3n3z2wOnV9+nZrXq5rhQA\noNxkRtjFah18+8BLulT46tFzj9jr4JtGFq5wX+GIizvUatrl9OcmNz78rlt713MpOwBgI5UZ\nZ8WGEKu7x7VDxx8z9JU3R/y+ySYrftsay6rWbLv9d9zryDP69t62TmaEKgDAepApYRdCCPHq\nbfY8us2eq9ya3fmSNz8ul/UAAGxQ7HABAESEsAMAiAhhBwAQEcIOACAihB0AQEQIOwCAiBB2\nAAARIewAACJC2AEARISwAwCICGEHABARwg4AICKEHQBARAg7AICIEHYAABEh7AAAIkLYAQBE\nhLADAIgIYQcAEBHCDgAgIoQdAEBECDsAgIgQdgAAESHsAAAiQtgBAESEsAMAiAhhBwAQEcIO\nACAihB0AQEQIOwCAiBB2AAARIewAACJC2AEARISwAwCICGEHABARwg4AICKEHQBARAg7AICI\nEHYAABFRctglxt607/YH9735mWETFybLaEUAAPwlaXbsKlVLTRhy30VHdm3VcNMuvS+45+XR\n0/LLZmEAAJROyWGX1fqMt6dMHvXyvRce2Snn2//dduahnZo1bLtXnyv/+864OUVltEQAANZF\n+mPsKjbc5uDTb3xy6Phpk754uf+F/9g6+cWT1564T/tGTbfxJS0AwIajFCdPVGy07cFn3PjU\n0PHTJg1/tO9ONf4Y8+q9y7+k7f/6uHkCDwCgHJXmrNjkwl8/ffGei4/t3q37qfcOn1EUcutv\nuW+vnttX+GbQbf0O2mqrIx4bX7jeFgoAQMmy0z9kyfQxH7z68uCXB7/63lfT8lIhq+omnQ/q\n16Nnzx4H7tK6RlYIqUW/fvjIeX3+/dIF1w45YsDBVdf/qgEAWE3JYZec+PiRe501aML8RCqW\nU2fzrsce36Nnz0P33rZxpdgKj4pVab77GRf0uv/lOydOmJUMVV0bDwCgHJQcdqn5kycl2h50\neo8ePXp079qudoW1PjLeeP+L7m7ddP9mqg4AoHyUHHZZHS7+aMLl2bESHxRCCCHedLd/nbbb\n37QoAABKL80GW1Z2dqzo9w/v6XvQjrtc8lHxqRGJ727cpUmHvU+566OpLmUHALDBSPfNaeqP\nN/ruts9Z9w35bkFWTvFNsWot2taZ8dHD5+yz2+mvzUyt9yUCALAu0oRdYmz/Sx6dUGu/20dO\n/uraHYsPsYs3++d/x/wy6t6D60x47OJ7vrJrBwCwQSg57JJTP/7w+1T7k67vt22NlQ60i1Xd\n4uTrTt0q9uNHw6a6LjEAwIag5LBLLV64KBWv37hB1hqeWa9B3Xgqb/FiX8YCAGwISg67rMbt\n2lRPfPnGW7+vti2Xmvb2kFFFVVtt1ngN0QcAQJlLc4xd1b1O+ddmC98464A+/d/7eX6i+MZU\n3m/D/3vaQf1embdJ7+P3qrb+FwkAQHrpRopV2eXaF+6eePA5A/rtNeDsyrUb1q+eteSPadPn\nF4TsBntc+/RNe1Uvk2UCAJBO+lmxlbY49YWv9hjyxCPPvPHJ179MX1BUq/VOO3Xe+/ATT+61\nXb11GDULAECZWKcyi1Vve0C/Ww/ot74XAwDAX7dOYVc4b9IPP/w2r3D1819jVTbp2LFZ5b99\nWQAAlFa6sEvNHXHbkf+47M3JBWu8qkn21leNGnXlVk6MBQAod2nCrmjUrSde8ubv1bfpfeLh\nO25SfbVHx+t2bpJuKhkAAGWh5LBLTvr4w59SLU55fui93VzWBABgg1bydltixtQZydztdttJ\n1QEAbOjSTJ6o36h+vHDiz78mymg5AAD8VSWHXXzTYy49oeU3t59x4yezVhsqBgDAhqTkY+xS\nf/w8p03P/Wv/54rdWj/euUunds3rVVnpDNisJgdccMH+jZ0/AQBQ7tKcPPH7m7ecf+OYohBC\n3s8j3vh5xGpP37pun/P3b7y+VgcAwDorOeyy2p/7zq8nrvkSdiGEEGI51eu7iB0AwIYgzXXs\nsqvVa+yMWACATLBOI8VC3sT3n3ripWFjJ05f2OjI++4/YvGQwbO3OKRrC7PEAAA2GOnDrvCn\nJ/sceNrAHxelQgghe+udFibzRj9wfJ/3mvT8z+ABp2wp7gAANgjpzmddMvLqw04eOLnBgVc+\nN3zsq2e2yQ4hxGrsd9GtR7We/mK/f1w1YklZrBIAgLTShF3e+w8+/G121xvffOmqXju1a1h8\nrZNYVsNd+j3x+h37Vv7x8YfeyyuLZQIAkE6akWKTxn4zJ2u7w3q0Wu0r23jTAw/aNmvu999O\nNpUCAGBDUHLYxXJyc2KhoKBwTXfmL8kPsezs7Nh6WRgAAKWTZqRYk+23b5oYPfDx0YtXvWvJ\nVwMGjkrU37pjE2MnAAA2BGmqLGfHvhfsXWXMjfvtfvLdr3z689zCVLJw0awJnzx5wYEHXf9l\ndue+p+2aWzYLBQCgZOkud5LV8uSnBv9x9FHXPHLWIQ+HEEK4fueG14cQy6q9/ZlPP/fvLSqs\n/zWurGDOxO+/GffL9DkLFhXEK1ar2aBF2w7tW9Wr6BthAGAjl/46drE6u17yxrijPxk86I1h\nYyZMX1CUW6tpu857H3bEfh1ql+k0scKpH91/1dX9n/vwp3mJlYacxbKqNtuhx6mXXnX2AS0r\nleWK2LClUqm+ffvOnDlzldt79+7ds2fPclkSAKxX6zZ5IlZ5k12OPHeXI9fzYkqQ/+19PfY+\n881p8Vptdz2s17btmjesVTU3K5G/aO6MyePHjBj68VOXHjTk7ZveeuP8bbUdxQoLC++77749\n9tijTp06y2/8/PPPq1SpIuwAiKQ0YVcw57ffZuen1np/LLd206a1cv7mRa0m+cvD/S54a2HH\nfi8+f9Oha9qVK5g69JZjel11Zb/7DvnovDZlupHIBq5Pnz4dO3Zc/o+XXXZZOS4GANarksMu\nMe7u7ttdNaZo7U/f+qpRo67caj2XVGr62y8Pz299Zv9bD2255ojMabT7JQ9f8la7i4a8N/3c\nNo0dbwcAbIRKDrtY/V36XHjR1JUuQZzKnzPp+xHvvTd2Zu4Wx151Tc9N1v/lTpIL5i1Ixhs2\nbVTSauMNmzXJSU1csDAZgi07AGAjVHLYxRt2O/O6bmu4Izn3y3uPPfCc554YftKpB6+fla0g\nq+kWHeoknvvfoB9PPa/dWr73TU59+fmPllTfq21jVQcAbJz+4nZbvOY2Z9x53g7Jbx997OOC\nv3dFa1J5rzP7dUp9fNHuu598x/+G/zgj7889xGT+7F++eO3+8/bf+fgX5rQ/+fR9qq7/5QAA\nbIjW7azYNYk33nSTnNjkSmVyAbmcrS98cdDCo068/ZHzDn/4vFgsu2L16lVzs5MFixbMX1yQ\nTIVYdt3t+z717JU7OicWANhY/fWwWzjig8/zslq0alE2X31mNd7/hve+7/PB/557+f3Pvh43\nccbchYuL4rXqt9iqedstO+9xUK8j9m5Xw3QzAGAjVnLYpWaNeOrJ4TOSq96eWDTli8FPvDgh\nvvk/uzYtu5qKV2/d7fhLux1fZj8QACCDlBx2yd/fvv2CtVzuJJbb/MCb/vvvbf76nt9fY6QY\nAMAalZxlWZud/Mxn3RevfoHiWHa1Rq1bNapSlmegGikGAFCSNPttlRptvm2jsllJyYwUAwBI\nI80xdnO+fHnw6D9WO8ZujbJa7HF0t5br5ZtZI8UAANJKc4zd5FeuOrmkkWIryj3w8UP2bFlr\nPRzrZqQYAEB6aY6xa//vIW8XHnzwDaOzNu/+r2MP3rl94+rxRVO/G/7yE4+99mO1/a+686wd\nai6rqHidzausn6IyUgwAIL0035zG575xW/8vqx3y8IfP9tksd9mtBx5+/FmnP/bP3U65d/Dx\nJw3oWW99b5AZKQYAkF7JF6FLzX77xQ8WtT/xymP/rLpiOa2PvfLk9jNfenzI7NXPmf3bGSkG\nAJBWmmPsZk2fWRSvVbfWGvovVrtu7VjBtN9nJkOd9b5JZqQYAEA6aY6xa9h8k0pFb782ZHLf\nU5uvHHfJKUNeG1VUoWujumUzecJIMQCAkqU5xq7Gfsf1bDz4iQsOOSX3kRuO7lSvQgghhMKZ\no56+7KTz3lpY85Be+9Qpu1NQjRQDAFi7NGEXq9X99qcuGX/YDf/t03nAec3btWlaPcz/7cdx\nv84pCJXaHPvIXUc2KutLixgpBgCwRmmvJxyrvds1H3y974B77n/mzU++/n70j4mcmo07HnD4\noX3OPqNH++plmFNGigEAlGSdBkVUaNzlhBu7nHDj+l5MCYwUAwBIY90mgOVNfP+pJ14aNnbi\n9IWNjrzv/iMWDxk8e4tDuraovJ5Xt4yRYgAAaaUPu8Kfnuxz4GkDf1yUCiGE7K13WpjMG/3A\n8X3ea9LzP4MHnLJlGcTdehwplpeX98ADDxQUFJTwmF9//bWUCwYAKAfpwm7JyKsPO3ng5MYH\nXnnjJYdXfvawIz4MIVZjv4tuPerXiwf2+0fLrUbfslPF9b3I9ThSbM6cOf/73/+WLFlSwmMW\nLlwYQkilyuBKzAAAf12asMt7/8GHv83uevubL521WXbRF69mhRBCLKvhLv2eeD131lanP/7Q\ne1fvdOD6PqptPY4Ua9y48bBhw0p+zPDhw7t06RKLOe8WANiglXxJ38Sksd/MydrusB6tVgvA\neNMDD9o2a+73305OrOmZfy8jxQAA0ip5xy6Wk5sTCwUFhWu6M39JfohlZ2eXxUaWkWIAAOmU\nHHbxJttv3zRx38DHR592baeVz5JY8tWAgaMS9U/o2MRIMQCADUGaY+xydux7wd5PnH7jfrtP\nv+KyYxvMLUwlCxfNmvDJ2w9ccdGdX2Z3vvG0XXPLZqEhGCkGAFCSdGfFZrU8+anBfxx91DWP\nnHXIwyGEEK7fueH1IcSyam9/5tPP/XuLCut/jSszUgwAYI3SX8cuVmfXS94Yd/Qngwe9MWzM\nhOkLinJrNW3Xee/DjtivQ+0yvRKwkWIAACUpOeyKRl+3+8GPtLjtyyd773LkubscWUaLWgMj\nxQAA0ig57LJatmu2ZMpnn39f2HvntVw/rkwYKQYAkFbJ55HGah56/Z2HJZ66+Obhs5NltKI1\nWDpS7NT+t66x6sKykWI7JUYNeW+6AREAwMap5B271Owxo5fsemy3+2/drdWTO+258xbN6lSp\nsGILZjXe56yz9m60ni8zsh5HigEAREbJYZf87bXrTr9qTFEIISz4+MXxH6/29K2rHnnm3o3W\n0+KWWY8jxQAAIiPNMXabnz3k538VrP3LzVhOzUZlEFKV9zqzX6dnL7to991/uOC8f3XfdZtW\n9Sst/bHJ/Nm/jh3+5jP33HLfO3PaX2ykGACw0Vpz2M2ePa9yjRoVs0KFGo02qVHGS1oTI8UA\nANJZc9g1aLj3tV+PuKjdss24xMKZ0+eHavXrVUt/3bv1xEgxAICSrVOoJX954JD2Fy++dNSo\nK7cqzyPYjBQDAFi7ctuB+yuK5vz0+ScjxkxONNh6j313bl55pTtTs0a/+vYP2Vvuv/+WNY0X\nAwA2QhkTdoUTB53V86QHv5qbTIUQYrlN9rrsmWcv3bX28oYr+vHpc4+9q+rlo/bdsqYTYwGA\njVCGhF3hmFt6HffAV1nte17Yp1vjeaOHPD/o7SsP6lH5k3fP7VChvBcHALBByIywy//w/vtG\nFWzW9+3hd+1RPRZCOPOCM245cPeLrzq9/4Hvn9PWBh0AQLqRYhuI5OSvvp6Vtd0JfbtWX/bN\na5WO5z501S6pT2668n8zzRADAAhr3bFLLZn5y48/xJZmX/LXmXkh5M+a+MMPuSvvjsUq1m3R\nvM5ahkH8bVKpVCoVq1S50oonRWS3OfWWMx7Z9Y6rbh7e/bYuldf6ZACAjcRawq5o7B0HtL9j\nlRv7H9Kh/6pP3/qqMrgGSlaj1q2qFb3yyuuTTz+1+Z97jBU7X3h7n+e739v3usM+vmGn3PW7\nBgCADd2aw+7A7t0T6/T0rE3bVC+Da4tU3fOonk2effTCQ04suvmcnju3a1StQiyEEKu1z/V3\nHTOkxy2HH1Htyft28JUsALBRW3PYDX711TJeRxo19rvxiQu/Pfymx/rt91i/3O6PT331uFoh\nhBCrc9DdL985o/u5l+7VOisrJMOW5b1SAIDykhEnT4QQYnX3uP6DMUMfvfqMow7dt2OjFS5x\nUrVjvxdHvPWf0w/cplnNnEx5OwAAf7/MuNxJsdymux5/xa5rGCiW02zPM/vveWYIqcIlhXEX\nPwEANk6ZFHbpxSpUXN9n6AIAbKh8dwkAEBHCDgAgIoQdAEBECDsAgIgQdgAAESHsAAAiQtgB\nAESEsAMAiAhhBwAQEcIOACAihB0AQEQIOwCAiBB2AAARIewAACJC2AEARISwAwCICGEHABAR\nwg4AICKEHQBARAg7AICIEHYAABEh7AAAIkLYAQBEhLADAIgIYQcAEBHCDgAgIoQdAEBECDsA\ngIgQdgAAESHsAAAiQtgBAESEsAMAiAhhBwAQEcIOACAihB0AQEQIOwCAiBB2AAARIewAACJC\n2AEARISwAwCICGEHABARwg4AICKEHQBARAg7AICIEHYAABEh7AAAIkLYAQBEhLADAIgIYQcA\nEBHCDgAgIoQdAEBECDsAgIgQdgAAESHsAAAiQtgBAESEsAMAiAhhBwAQEcIOACAihB0AQEQI\nOwCAiBB2AAARIewAACJC2AEARISwAwCICGEHABARwg4AICKEHQBARAg7AICIEHYAABEh7AAA\nIkLYAQBEhLADAIgIYQcAEBHCDgAgIoQdAEBECDsAgIgQdgAAEZFd3gv4S4oWz507b8GignjF\najVq16paIVbeCwJWlUql+vXrN2PGjFVu/+c//9mjR49yWRJA5GXSjl3ij9HPXHvS/tu2qF21\nWu16jTdp0aJpwzrVq9RsutVex1766PCpBeW9QOBPhYWF995776xZs1IrGDly5CuvvFLeSwOI\nrEzZsUvNHnbd4YdfM3R6IlapXqsOO2/XsFbV3KxE/qK5Myb/9P3Qp254b+B9D533/Cs3713f\n9h1sOPr06dOxY8fl/3jZZZeV42IAIi8zwi415/V/H3n1h4kdz3rijvN7bd+44srxVjjr61fv\nvfic628/5uzOYwceXk/aAQAbo4z4KjY1d8ijg36vd+RDr95xbOdVqy6EUKHuVj2vHPTs2W3+\neOXJN+ekymOJAADlLiPCLjlj0m9Lstrt0KlGCXtxlbbdaZuKhVOnzEyW3cIAADYgGRF28fqb\nNK2YGDdy9LwSduPyx34xNr9Cw8Z1M+ItAQD87TKigmI19z/+sEYznz750AueHjVj9ZNfE3O+\nf/X6Xr1u+67WgUftV9sRdgDAxikzTp6I1ep++8BLfz7s+tuP2v7OUxq17dC2ecNaVXOzkwWL\n5k6fNP67cZPnFcZqdDr72buOcFIsALCxyoywCyFWu+vV7397wMD+9z01+P2Ro4d+V7j0W9lY\nhWqN2uxy5GlHntL3mF2b5JbvKgEAylGmhF0IIWTX3+G4a3Y47pqQKlw4Z868hYuL4hWr1qxT\n2+QJAICQIcfYrSoWi8fj8VgsxGKSDgBgqUwKOyPFAABKkClfxRopBgCQRmaEnZFiAABpZcRX\nsUaKAQCklxFhZ6QYAEB6GRF2RooBAKSXERVkpBgAQHqZcfKEkWIAAGllRtgZKQYAkFamhF0I\nRooBAJQoI46xW5WRYgAAq8uksDNSDACgBJnyVayRYgAAaWRG2BkpBgCQVkaE3bKRYi+8ekeP\nWmuotuKRYo0Wbdv1viffnHPYMaW7lN3XX39dWFhYwgN++OGHUi4YAKAcZETYrftIsbt+mjIz\nGWpnrfNL//zzz9tuu20ikfgblgkAUK4yIuyKR4qNGDl6XqrZmnbsQgjLRoptWsqRYq1atZo/\nf35+fn4Jjxk5cuR+++1XmlcFACgHGRF2xSPFXnny5EMbLLrj/MO3q5+z8v2JOd+/cd9FZ932\nXa1DLyv9SLHKlStXrly5hAdUq1attCsGACh7GRF2RooBAKSXGWFnpBgAQFqZEnYhGCkGAFCi\nTJo8sZyRYgAAq8uksDNSDACgBJnyVayRYgAAaWRG2BkpBgCQVkZ8FbtspNhDr95xbOdVqy4s\nGyn27Nlt/njlyTfnpMpjiQAA5S4jwm7dR4oVTp0yM1l2CwMA2IBkRNgVjxQbN3L0vBJ244pH\nijUs5UgxAIDIyIgKKh4pNvPpkw+94OlRM1Y/+TUx5/tXr+/V67bvah14VOlHigEARENmnDxh\npBgAQFqZEXZGigEApJUpYReCkWIAACXKpLBbLlahau36VWuX9zIAADYoGXHyBAAA6Qk7AICI\nEHYAABGRCcfYFbzTd/PeA2evy0SJ7C0uGjr0wg5Z631NAAAbnEwIuwod/3X1OYvvv2/giKkF\nIbdey80aVFrbQ7MbVK9QlksDANhwZELYxep1OvqyR3v/c5t9O571UZM+T395U+dMWDYAQNnK\nnGPsslsdc+LeVcp7FQAAG6zMCbsQqm3ZqX2VnGxXIwYAWJNM+k4za4tLPpt7SXmvAgBgA5VJ\nO3YAAJRA2AEARISwAwCICGEHABARwg4AICKEHQBARAg7AICIyKTr2AGw7mbOnLlgwYJVbmzS\npElubm65rAcoA8IOIIISiUTz5s3z8vJWuf2MM87o379/uSwJKAPCDiCCEolEXl7e7bff3r59\n++U33nHHHYsWLSrHVQHrm7ADiKz69es3bdp0+T9Wrly5HBcDlAEnTwAARISwAwCICGEHABAR\nwg4AICKEHQBARAg7AICIEHYAABEh7AAAIkLYAQBEhLADAIgIYQcAEBHCDgAgIoQdAEBECDsA\ngIgQdgAAESHsAAAiQtgBAESEsAMAiAhhBwAQEcIOACAihB0AQEQIOwCAiBB2AAARIewAACJC\n2AEARISwAwCICGEHABARwg4AICKEHQBARGSX9wIAIIJmzJixcOHCVW5s1KhRpUqVymU9bCSE\nHQD8zRKJRPPmzZcsWbLK7aeffvq9995bLktiIyHsAOBvlkgklixZcvvtt7dv3375jXfcccfi\nxYvLcVVsDIQdAKwX9evXb9q06fJ/rFy5cjkuho2EkycAACJC2AEARISwAwCICGEHABARwg4A\nICKEHQBARAg7AICIEHYAABEh7AAAIkLYAQBEhLADAIgIYQcAEBHCDgAgIoQdAEBECDsAgIgQ\ndgAAESHsAAAiQtgBAESEsAMAiAhhBwAQEcIOACAihB0AECmJRKJu3bqx1Vx44YXlvbT1Lru8\nFwAA8HdKJBJ//PHHRRdd1KpVq+U3PvbYYzNmzCjHVZUNYQcARFCHDh06duy4/B9fe+21clxM\nmfFVLABARAg7AICIEHYAABEh7AAAIkLYAQBEhLADAIgIYQcAEBHCDgAgIoQdAEBECDsAgIgQ\ndgAAESHsAAAiQtgBAESEsAMAiAhhBwAQEcIOACAihB0AQEQIOwCAiBB2AAARIewAACJC2AEA\nRISwAwCICGEHABARwg4AICKEHQBARAg7AICIEHYAABEh7AAAIkLYAQBEhLADAIgIYQcAEBHC\nDgAgIoQdAEBECDsAgIjILu8FlEZq0cRhg5976Z1Px4z7ZfqcBYsK4hWr1WzQou1Wnfc8qNfh\n3dpUl6kAwEYsY8IuOe2dq4894eZ3J+enQohl5VSqXDk3KzHj919+GPvFh68O7H/1xTv2ffCZ\nWw5tXqG8VwoAUD4yZI+r4OubD+1x7QdLOh5/8zNDv5kyL2/JovlzZs+Zv2hJ3vxp4z558a6+\nXXNH3/XPQ6/9PK+8lwoAUE4yY8du8bt33f1F6HLjB++e3yF3pXtiFao2aLtzj7Y7H9Jz+8O3\nO/6B/u9e8MRBVctpmQAA5SmWSqXKew1pJX68pcsWl+fc+uPQs5qvfYtx8aB/1D/q1yvGfnJB\nm6x1fulffvllhx12KCoqKuExRUVFCxYsKCgoqFDhb/ie98QTTxwwYEClSpVWfP3FixfXqlVr\nxYctWrQoJydnxZ9YWFhYUFBQpUqVFR82f/78qlWrxuN/fixLliwJIVSsWHH5LclkcuHChdWr\nV98IX3/OnDlVqlTJyspa8YnZ2dmVK1fOiPVn+uv7/Mv39X3+5fv6Pv/yff3VP/+8vLxjjz32\nkUceCZGWETt28Wo1qsWTk36flghrD7vkrKnTC2NVq1Ut1bfLzZs3f/7550sOu1QqNWPGjL+l\n6kII1157be/evVd5/QkTJrRq1WrFGydPnly3bt0V+y8vL2/WrFnNmjVb8WE///xzy5YtY7HY\n8ltmz54dQqhdu7bX9/pe3+t7fa/v9Ve8sUOHDiHqMmLHLiR/6b/XlmeN6nD2wOeu796i4uoP\nKJo+7PZ/HXHp0BY3fjXs/LbrvmEHABAdmRF2IeR/c88he53z9oyseh1269Z123bNG9aqmpud\nLFg0d/qk8V8Pf+/90VPya+16/VtvXtSpcvpXAwCIoEwJuxBCweR3777imnsHffLrwuRKa47F\nqzTtfOjJl1x17kGtVR0AsNHKoLArlloya8J334ybOGPuwsVF8YpVazZo3qZDh83qV4qlfy4A\nQJRlXNgBALBmGXKBYgAA0hF2AAARIewAACJC2AEARISwAwCICGEHABARwg4AICKEHQBARAg7\nAP6vvTuPq6ra+zi+9hkYRSAEFAwMQRwLR1AzMUdUKrXMMcUh00otKcucMLuaw82cr2Opt26m\nmaWWWj6BKKA4pTmAQqDXlCkQZDrDvn9gpvextKc422edz/sv3Zx1Xj/W4az93WutfQ4ASRDs\nAAAAJEGwAwAAkATBDgAAQBIEOwAAAEkQ7AAAACRBsAMAAJAEwQ4AAEASBq0LsDtt27ZNTk7W\nugoAAOxOREREUlKS1lVUL4KdrQUFBXl7e8+YMUPrQuxUXFycEIL+1wr9vYe0xwAAEAhJREFU\nry36X1v0v7bi4uLc3Ny0rqLaEexszcHBwcvLq2XLlloXYqe8vLyEEPS/Vuh/bdH/2qL/tVXV\n/9Jjjx0AAIAkCHYAAACSINgBAABIgmAHAAAgCYIdAACAJAh2AAAAkiDYAQAASIJgBwAAIAmC\nHQAAgCT45glbc3Bw0LoEu0b/a4v+1xb9ry36X1t20v+Kqqpa12Bffv75ZyGEp6en1oXYKfpf\nW/S/tuh/bdH/2rKT/ifYAQAASII9dgAAAJIg2AEAAEiCYAcAACAJgh0AAIAkCHYAAACSINgB\nAABIgmAHAAAgCYIdAACAJAh2AAAAkiDYAQAASIJgBwAAIAmCHQAAgCQIdgAAAJIg2AEAAEjC\noHUB9sdyYeP4yT90Xz7nCR9F61rsjVqWm3H+x9xSY62ghvW9neh/21Ir8jLOZuSUG70CQ4Nr\nu3BVqRG1MGHRlI3Xo2e/FeXLe8Am1LwzB07nWNTbj+q8G7dv7M37wHZMhdlpF3JV76AGD3o6\nyPy3r8K2Ko5Nf8To0GHRjxatK7EvZWlbXusW5KavejMrOreQ3tN2ZldqXZa9MF38anqv4Bq6\nG2Op4vxg5ISPz5ZqXZY9suZsHx6oV4zh89LMWtdiLywXl3Zy+N9nX6e+H5doXZq9sBYcXjEy\nvE7V1byic286cOH+HGlPwszY2ZCl+MfkzW+/MP97k3hU61rsi5rzxYs9Bq7P8mgzbPbobsHG\nq0e3r1z++ey+3Yp2Ji3q7CHzldt9ofLo3/r0e/uYS6uhs0b1CHUrSd+3bvEHi4f2LPc8sqI7\n3W9L1subXx67McuiGrWuxJ5YMtIyLIb60ROHtqxxy2FDo2Z3iHv465UemRPdZdpht8dGv/tO\nez9T+u6Vi/4Z2+uyLuWbiQ2lDEFaJ0s7YclYGV3HRf/LKYwZO5synZj5iFFxDp99ouzmsWuJ\nrzVzUBzbLUhn2qK6Xd8R46MzNJgYX3zzUEnCK6EGxfWJD/OsGhZmd8yZa6O9jf5BgY7M2NmQ\nNW9dTyddrRG7yrWuxD6Zf5gb7qzz7LYs3XTjiDXv82F19fq6476V8yVhed82FI8WA16f9e78\nBQvmDgszMkVhWyXHU8+ZHdoNi2nmdPOYW8TwZ5sZKo8nHSnXsDK7YD6ferRA+HaOjvh1tsK1\nTac2NURldtZPVg0rszPmtBWjY3d7jvnHzA7OWtdiVyyZ6ZlmfXCjECknh+57piMfrj9SGTDk\nzRHBv7wAilf0wn1JBz57qYmcJ2P+0GxD8Ww9aGJrIYSo2Hp41obTWtdjV9QK7zaDh9dr2/62\nu1XU6yXXVWF0dODippoZgsd8euIZpVbQLctO5sxT564Ll/rBfnS/jVSc/PvIKfv9Xt77t86F\nL2pdjH0pz0jPtrr2dDq3YlLc3hNZhXqfhu2fHDFmYLgvJ+DqZ/13UlKmxbVfZBsnYSrIPH3+\nqsktoFGoX0hrL61Lqzb8XUF6im/UtDVRtx+zXv7svU3pVs+nej3qdOdW+Mu41A5pXFsIIUT5\njwf3pGZeuZC8ZeWaY7V6LJzR5wE5r5jvO6Wpc2LijtSftC+ug5vypdbV2BdLdnpGpVq0ZfwT\nO3wbNgt0yL+Qmrj3s3UrNs3ftW1icxety5OdJTsjy6Kv41u6dVzb2LUpOZWqUHQu9bpMeH9V\nXHSgnHtNCXawO6YrCUvHPz91y0++T66e19+bZGEz1twdbz3z8neVQigGv27TX3kqlFRtE8WJ\nM2PePdvkzYSpEa5CVGhdjp0xZ6RlmhWP8Fc3bZnT098ghLXw6IqYpyZsnzxsTofUt1tyA0W1\nUq8XX1cteWvHjtTX7xf7XrdG7sVnvl6z7NO5T3cv3pm8uIuMd2+xDgJ7Upb51dwBzRt2mrSt\n4OGXPvru45ggLm1sSFf3+R05BTlZp/atffGhIzOjwgdtusQeu+qm/rz3zZHvZ7WctvaNFuyt\n04Bjz7VXystyDszv6V813Og8WoxbNecJD9PpjRtTTBpXJz9VCKGWiZZzD6R8/M6EmCHDx7/z\nr6Tdk5uJtDVx6zOkHIAIdrATlpz9C54Oa9ZrypdlbSdtOHz2wOL+IcwX2Zji4Oru6R3QpFPM\ne5/O6e585YvFm9ItWhclOfOhuS/9I8P/yaEtC5Li4+Pj4+P3n7pqFmpxxqGE+IRDF66pd38O\n/Ck6g4ODg+G2k63i9Vinh42WK2npRfR/9VJca7gqSo3uY0c1drx50LXVsEFhhoojCSklGpZW\nbZivgD2wXNwyqsvQD7Pr9Jq1a2lsj0ASne1YL217641P8zu8vnxM2K/jjVKradM6ut0/Xbps\nFaF6DcuTnrUgN99qzt/0QtdNtx0/vXLI4yv1Qa/En/17ezk3Gt0nLKUF+SUWJ3fvmo63HlZ0\nOqHonJwdJVwJvK/o6wXX0yulbrd3v66me02dajVVmlUhpHsJCHaQn/XiBy+M3pAVNO7zfYt7\n+DJLbVu6mhXp2//1xdmmr4wKa3QzwqmFaeeuWPUN69bh9ahehrAX1nzcveKWeSHzkWXPL0jy\nGzR/VrRfzdBQTgLVq2zP+Eb9PvF9/eDxOa1vbqdTCxK/O2E2NAtvwc0T1Uzn3zEyVHfw4L6j\n5VFtf7mkV4uSE783GQKbNK4pXaoTgg8otrnyLc+6KHxAsS2Zz8xpbdR5DdxapHUl9slasHWw\nr07n1XXeofyqj8Q156Ysefoho+La4T0+JNf2yr8Y6sEHFNuMtfCr0YF6xbX5y59nVH2Jnjk3\nZdETdfU6776bLnMeqH6WrNVRnjrnxsM+OHnNqqqqpeDQkr71jIrrowvPyvke4GIN0itOTf7B\nrJZ/Osh3239fnOm8Yz4/v7wrt6VVJ8XzqQWrx5wYtHJyhP/8h4LrGIsuZv67sNKpwZBV618M\nYRkWclPcu7+7cerZvrOX9gnd4Bfk73LtYuaVYqtH+GubVw5iwtoGdAExK1ckPD58Q8wjm2Pr\nPVijKCu7oNKxwdC1H46XdBsIwc7WdN6NO0QWhNZ1knIC+H5kLTH4t+vY0Xynn+k8gjwYWaud\nrnb08uTjfTau3xL/w8WCsqAmkTGRfYcN7hrkqnVldknn1ejRyI4BDzozBtmG4tlh5r7T0VvX\n/3NXyrkrpYawbq17DBk1IKI2exttRB/w7IepjZ9avW7bwXM5lc7tn+3Uf+Tw7iE1ZH0HKKrK\nPTkAAAAyYLYCAABAEgQ7AAAASRDsAAAAJEGwAwAAkATBDgAAQBIEOwAAAEkQ7AAAACRBsAMA\nAJAEwQ4AAEASBDsAAABJEOwAAAAkQbADAACQBMEOAABAEgQ7AAAASRDsAAAAJEGwAwAAkATB\nDgAAQBIEOwAAAEkQ7AAAACRBsAMAAJAEwQ4AAEASBDsAAABJEOwAAAAkQbADAACQBMEOAABA\nEgQ7AAAASRDsAAAAJEGwAwAAkATBDgAAQBIEOwAAAEkQ7AAAACRBsANgtyoun9ifcOjCNVXr\nQgDgL0KwA2CvrFe3Tujy+MBlJ8339viyvIvZ2bml/4cYaC66eOZYSnLqDxevWf54awC4ZwQ7\nALgnFXsmNqkXOnpbyR9pZM07uGhoS3/fwMYtItq2bhro7R8xetWxIuYIAVQPg9YFAIC0Kr9f\n2LfnG4mmoJ6xbw1o7V12/ruNS9avHds125K0c2wI4y+AvxwDCwB7Upl/4fSFPNUzqHGIt/FO\nD7Be/+l8enZemcHdv36DAI8bjzFdOZl86tRVi7Dmn02M3+/fIPzhOg6/30QItXD7O3MOlPgN\n3py4oa+vIoQQA0cMiujbatSOWXP3Prc2yrV6f1cAdoilWAD2QS08vHRIWO3aIc3DI1qE+vk1\nj1l78vqtS6Jq8fE1z7er6+Uf2jyifbtWTev51Gk+ZPnRYlUIteDL2K5dp35TqlYmzu4Z2fXV\n7fnqXZoIISznUo8XK35PjuhdleqEEEIf+Ozwbm5q3qGk9Hvc2QcAfwAzdgDsgTl9Rf8eE74p\nqhUxfObgDnUrzu5cs2zcIKOLWdSqeoCav21s1JiPrgVHT37z6Zb+jsWZBzYtWvHRhMF1W30/\nt433wI1pkdsntBjzVdv3jqzu4+3lo9ytiVEIp5AuQ2P8eje5bWqw4vp1k1AcnRyUO9UJAH8K\nwQ6AHSjaMSvu20KvXsv3bxnTwFEIIUY81+Xlx3otP/NLsDMd3rUnRx82Y8uW6c2qglj//sEF\ngX03H0rNsbbxr+ETEODjqgjFpVZAYIDbvTTRGR4ZtWzdqNsLKT26ZOneMkNoVI8QvY1+dwD2\nhKVYAPIrS/xid56uwchpI6pSnRBCqdV5yoRIp5vTZsaO845fzPr29Wa/Tq+ZraoihNn0W2um\nf7CJWnzmk0ndo2Yd0oW9uiy2+R13+AHAn8OMHQDpWa+eP1+kunaLaHZrmtL5tAkP0u8rq/qf\n4vyAn3Nl7un4bYdOnruQkZmRdizhf1LzrL+Tv+69iSX/yMa3Y6eujL9sCO4z77NVk9q7sxAL\noDowYwdAeqqp0qQqTq4ut69+6tw9PW6OgWrhwXm9GwY27fT0uLfXf33sstX/8ZfG96rze+ul\n99ak9NwnEx5rHDFi2anaA+bvPnVia2x7L1IdgGrCjB0A6em8fL0N6vHs7EJV+Pwaqqy5V3Ot\nN/5dFj99yJSvih6dtmfDG50DnBUhhDAdjF09f89vPuu9NCk5PLd31Fv71Raj1349Z1hzT66l\nAVQvRhkA0lPcW7dtYqhI3LztkvXXoxXHtu/MuLEZzpKdknLJ6t47dkqXGxFNCFGec/V3viLi\nHpqUJs4YOn2/0nVRQsLKGFIdABtgoAEgP33ooOc7u5d+82b/N3ZdqhRCqGVpH40d/v5py41E\npvPwesAgSo4nHrvxhWGmn+IXPvfq5nyrMJtMtzyTWllZqd5jk5K9qzaki7CJC8c1cbbRLwrA\n3hHsANgBXWDM8mUD6pWmzO9d7wG/kODaXo2GfKIb+mpfn6pBUPHpNzEmRHdyXmRw0w5dOrUJ\nrRvce7XhmYFhRtPhhQOeWXCgXAidl08tXeW+qV27RU/+Ml+9a5OSM8mHC63mE7Na1XD+b+6d\nl/xovUvNAPDHsccOgF0wPDRo09GH+61as+3AuVxzza4x/ca+1Me0Lu+EQ7C7IoTi2X1xYkKb\n5Ru+PZFV7PrQgH7TBw7vHWpOrus4d2e2XtErQhjbTf5gQcWSPenXjC7O+rs3EWb3kA6Rte+4\nmGtsUseJOygA/PUUVf3tLSQAAAD4/4OlWAAAAEkQ7AAAACRBsAMAAJAEwQ4AAEASBDsAAABJ\nEOwAAAAkQbADAACQBMEOAABAEgQ7AAAASRDsAAAAJEGwAwAAkATBDgAAQBIEOwAAAEkQ7AAA\nACRBsAMAAJAEwQ4AAEASBDsAAABJEOwAAAAkQbADAACQBMEOAABAEgQ7AAAASRDsAAAAJEGw\nAwAAkATBDgAAQBIEOwAAAEkQ7AAAACRBsAMAAJAEwQ4AAEASBDsAAABJEOwAAAAk8R8CD6im\nNOjifwAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "Plot with title “Histogram of data2”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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f8CyTKPb5P+Cw6eWtvTN/mMfI3nh78e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\nSUVORK5CYII=",
+      "text/plain": [
+       "Plot with title “Histogram of data1”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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TtDWl5vWuiK+nWu/e3hfdGqMD/e81WD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\nAAAq8f8HhM6FNf+FFAAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "Plot with title “Histogram of data2”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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f8CyTKPb5P+Cw6eWtvTN/mMfI3nh78e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\nSUVORK5CYII=",
+      "text/plain": [
+       "Plot with title “Histogram of data1”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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3XGHNkXJwvTkz1fNK60uVXjUjZ3A3fs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\nYAcAAKAQBDsAAACFINgBAAAoxP8Du4HYk3BDnSIAAAAASUVORK5CYII=",
+      "text/plain": [
+       "Plot with title “Histogram of data2”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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fsNb+en+xcoDrn8mg76Ze/RlX39nj0j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\nhdkAAAAASUVORK5CYII=",
+      "text/plain": [
+       "Plot with title “Histogram of data1”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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QcAACAJwg4AAEAShB0AAIAkCDsAAABJEHYAAACSIOwAAAAkQdgBAABIgrADAACQ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",
+      "text/plain": [
+       "Plot with title “Histogram of data2”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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fsNb+en+xcoDrn8mg76Ze/RlX39nj0j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\nhdkAAAAASUVORK5CYII=",
+      "text/plain": [
+       "Plot with title “Histogram of data1”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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6Tn/aaHrli7t/w/3b8jWhXm+9tGNqy8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\nRK5CYII=",
+      "text/plain": [
+       "Plot with title “Histogram of data2”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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fsNb+en+xcoDrn8mg76Ze/RlX39nj0j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\nhdkAAAAASUVORK5CYII=",
+      "text/plain": [
+       "Plot with title “Histogram of data1”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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489cShGFqbnB76qV3Z703rFbO4H7Dlw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\nAJCJ/wcjNKV1QnvHfwAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "Plot with title “Histogram of data2”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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fsNb+en+xcoDrn8mg76Ze/RlX39nj0j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\nhdkAAAAASUVORK5CYII=",
+      "text/plain": [
+       "Plot with title “Histogram of data1”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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9x49LO9nvjH1iMPOOqo7stOnshOFiyaO33S+K+Hv/ncU4NHzarT8/FzHGAHAGys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\nNOjifwAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "Plot with title “Histogram of data2”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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fsNb+en+xcoDrn8mg76Ze/RlX39nj0j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\nhdkAAAAASUVORK5CYII=",
+      "text/plain": [
+       "Plot with title “Histogram of data1”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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TtDWl5vWuiK+nWu/e3hfdGqMD/e81WD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\nAAAq8f8HhM6FNf+FFAAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "Plot with title “Histogram of data2”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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fsNb+en+xcoDrn8mg76Ze/RlX39nj0j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\nhdkAAAAASUVORK5CYII=",
+      "text/plain": [
+       "Plot with title “Histogram of data1”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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3XGHNkXJwvTkz1fNK60uVXjUjZ3A3fs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\nYAcAAKAQBDsAAACFINgBAAAoxP8Du4HYk3BDnSIAAAAASUVORK5CYII=",
+      "text/plain": [
+       "Plot with title “Histogram of data2”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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AAAy5QRdowUAwAAsEgpYScEI8UAAADMUlLYPSHZOLp5OLoJQ+KN8+eOX7EtVzE4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\nAADQCIIdAACARvw/R6AfSJZvVUoAAAAASUVORK5CYII=",
+      "text/plain": [
+       "Plot with title “Histogram of data1”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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QcAACAJwg4AAEAShB0AAIAkCDsAAABJEHYAAACSIOwAAAAkQdgBAABIgrADAACQ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",
+      "text/plain": [
+       "Plot with title “Histogram of data2”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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AAAy5QRdowUAwAAsEgpYScEI8UAAADMUlLYPSHZOLp5OLoJQ+KN8+eOX7EtVzE4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\nAADQCIIdAACARvw/R6AfSJZvVUoAAAAASUVORK5CYII=",
+      "text/plain": [
+       "Plot with title “Histogram of data1”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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6Tn/aaHrli7t/w/3b8jWhXm+9tGNqy8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\nRK5CYII=",
+      "text/plain": [
+       "Plot with title “Histogram of data2”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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AAAy5QRdowUAwAAsEgpYScEI8UAAADMUlLYPSHZOLp5OLoJQ+KN8+eOX7EtVzE4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\nAADQCIIdAACARvw/R6AfSJZvVUoAAAAASUVORK5CYII=",
+      "text/plain": [
+       "Plot with title “Histogram of data1”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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489cShGFqbnB76qV3Z703rFbO4H7Dlw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\nAJCJ/wcjNKV1QnvHfwAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "Plot with title “Histogram of data2”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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AAAy5QRdowUAwAAsEgpYScEI8UAAADMUlLYPSHZOLp5OLoJQ+KN8+eOX7EtVzE4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\nAADQCIIdAACARvw/R6AfSJZvVUoAAAAASUVORK5CYII=",
+      "text/plain": [
+       "Plot with title “Histogram of data1”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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9x49LO9nvjH1iMPOOqo7stOnshOFiyaO33S+K+Hv/ncU4NHzarT8/FzHGAHAGys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\nNOjifwAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "Plot with title “Histogram of data2”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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AAAy5QRdowUAwAAsEgpYScEI8UAAADMUlLYPSHZOLp5OLoJQ+KN8+eOX7EtVzE4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\nAADQCIIdAACARvw/R6AfSJZvVUoAAAAASUVORK5CYII=",
+      "text/plain": [
+       "Plot with title “Histogram of data1”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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TtDWl5vWuiK+nWu/e3hfdGqMD/e81WD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\nAAAq8f8HhM6FNf+FFAAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "Plot with title “Histogram of data2”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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AAAy5QRdowUAwAAsEgpYScEI8UAAADMUlLYPSHZOLp5OLoJQ+KN8+eOX7EtVzE4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\nAADQCIIdAACARvw/R6AfSJZvVUoAAAAASUVORK5CYII=",
+      "text/plain": [
+       "Plot with title “Histogram of data1”"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 420,
+       "width": 420
+      }
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Colunas do csv de saida\n",
+    "colunas = c(\"coluna1\", \"ano_coluna1\", \"coluna2\", \"ano_coluna2\", \"tamanho_amostra1\", \"estatistica_t\", \"p_valor\")\n",
+    "output_df = data.frame(matrix(ncol = length(colunas), nrow = 0));\n",
+    "\n",
+    "# Remove ANO_CENSO das iteracoes\n",
+    "atributos = names(df)\n",
+    "atributos = atributos[atributos != \"ANO_CENSO\"]\n",
+    "            \n",
+    "# Separa os anos em amostras\n",
+    "ANO <- df[\"ANO_CENSO\"]\n",
+    "\n",
+    "for(ano in sort(unique(df$ANO_CENSO))){\n",
+    "    for(col1 in atributos) {\n",
+    "        for(col2 in atributos) {\n",
+    "\n",
+    "            # Amostra de um ano\n",
+    "            X <- df[col1]\n",
+    "            data1 <- X[ANO == ano]\n",
+    "\n",
+    "            # Amostra do ano seguinte\n",
+    "            Y <- df[col2]\n",
+    "            data2 <- Y[ANO == ano+1]\n",
+    "\n",
+    "            # Remove zeros\n",
+    "            data1 <- data1[data1 != 0]\n",
+    "            data2 <- data2[data2 != 0]\n",
+    "\n",
+    "            # Remove NaN, outliers e ordena\n",
+    "            data1 <- remove_outliers(na.omit(data1))\n",
+    "            data2 <- remove_outliers(na.omit(data2))\n",
+    "\n",
+    "            # Pula casos em que não há dados nas amostras\n",
+    "            if(length(data1) == 0 || length(data2) == 0){\n",
+    "                next\n",
+    "            }\n",
+    "\n",
+    "            # Pula casos em que a variancia zera\n",
+    "            if ( (var(data1)==0) && (var(data2)==0) ){\n",
+    "                # Concatena resultados no dataframe\n",
+    "                nova_linha = c(col1, ano, col2, ano+1, length(data1), NaN, NaN)\n",
+    "                output_df = rbind(output_df, nova_linha)\n",
+    "            } else {\n",
+    "                # Ajusta dados em histogramas\n",
+    "                data1 <- hist(data1, breaks=100, PLOT=FALSE)\n",
+    "                data2 <- hist(data2, breaks=100, PLOT=FALSE)\n",
+    "                data1 <- data1$count\n",
+    "                data2 <- data2$count\n",
+    "                \n",
+    "                # Teste T\n",
+    "                resultado = t.test(data1, data2)\n",
+    "\n",
+    "                # Concatena resultados no dataframe\n",
+    "                nova_linha = c(col1, ano, col2, ano+1, length(data1), resultado$statistic, resultado$p.value)\n",
+    "                output_df = rbind(output_df, nova_linha)\n",
+    "            }\n",
+    "        }\n",
+    "    }\n",
+    "}\n",
+    "output_csv = \"Result_T/T_subsequente.csv\"\n",
+    "colnames(output_df) <- colunas\n",
+    "write.csv(output_df, file = output_csv, row.names = FALSE)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d52a6568-693a-4d59-b050-2f8d6899433e",
+   "metadata": {},
+   "source": [
+    "## Teste T - Anos acumulados\n",
+    "O mesmo teste anterior, porém com o acumulo da amostra conforme o passar dos anos"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "bd76fa5b-a42c-434a-b3df-83f12f80a262",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Colunas do csv de saida\n",
+    "colunas = c(\"coluna1\", \"ano_coluna1\", \"coluna2\", \"ano_coluna2\", \"tamanho_amostra1\", \"estatistica_t\", \"p_valor\")\n",
+    "output_df = data.frame(matrix(ncol = length(colunas), nrow = 0))\n",
+    "ano_start = min(df$ANO_CENSO)\n",
+    "\n",
+    "# Remove ANO_CENSO das iteracoes\n",
+    "atributos = names(df)\n",
+    "atributos = atributos[atributos != \"ANO_CENSO\"]\n",
+    "            \n",
+    "# Separa os anos em amostras\n",
+    "ANO_COLUMN <- df[\"ANO_CENSO\"]\n",
+    "\n",
+    "for(ano in sort(unique(df$ANO_CENSO))){\n",
+    "    for(col1 in atributos) {\n",
+    "        for(col2 in atributos) {\n",
+    "\n",
+    "            # Amostra acumulada dos anos\n",
+    "            X <- df[col1]\n",
+    "            data1 <- X[ANO_COLUMN >= ano_start & ANO_COLUMN <= ano]\n",
+    "\n",
+    "            # Amostra do ano seguinte\n",
+    "            Y <- df[col2]\n",
+    "            data2 <- Y[ANO_COLUMN == ano+1]\n",
+    "\n",
+    "            # Remove zeros\n",
+    "            data1 <- data1[data1 != 0]\n",
+    "            data2 <- data2[data2 != 0]\n",
+    "\n",
+    "            # Remove NaN, outliers e ordena\n",
+    "            data1 <- remove_outliers(na.omit(data1))\n",
+    "            data2 <- remove_outliers(na.omit(data2))\n",
+    "\n",
+    "            # Pula casos em que não há dados nas amostras\n",
+    "            if(length(data1) == 0 || length(data2) == 0){\n",
+    "                next\n",
+    "            }\n",
+    "\n",
+    "            # Pula casos em que a variancia zera\n",
+    "            if ( (var(data1)==0) && (var(data2)==0) ){\n",
+    "                # Concatena resultados no dataframe\n",
+    "                nova_linha = c(col1, ano, col2, ano+1, length(data1), NaN, NaN)\n",
+    "                output_df = rbind(output_df, nova_linha)\n",
+    "            } else {\n",
+    "                # Ajusta dados em histogramas\n",
+    "                data1 <- hist(data1, breaks=100, PLOT=FALSE)\n",
+    "                data2 <- hist(data2, breaks=100, PLOT=FALSE)\n",
+    "                data1 <- data1$count\n",
+    "                data2 <- data2$count\n",
+    "                \n",
+    "                # Teste T\n",
+    "                resultado = t.test(data1, data2)\n",
+    "\n",
+    "                # Concatena resultados no dataframe\n",
+    "                nova_linha = c(col1, ano, col2, ano+1, length(data1), resultado$statistic, resultado$p.value)\n",
+    "                output_df = rbind(output_df, nova_linha)\n",
+    "            }\n",
+    "        }\n",
+    "    }\n",
+    "}\n",
+    "output_csv = \"Result_T/T_acumulado.csv\"\n",
+    "colnames(output_df) <- colunas\n",
+    "write.csv(output_df, file = output_csv, row.names = FALSE)"
+   ]
+  }
+ ],
+ "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": "4.4.0"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/Testes_norm/raw_tests/.ipynb_checkpoints/run-checkpoint.sh b/Testes_norm/raw_tests/.ipynb_checkpoints/run-checkpoint.sh
new file mode 100644
index 0000000000000000000000000000000000000000..4c43edad38d7afc62dfd117cbfd35e213dbfb5e4
--- /dev/null
+++ b/Testes_norm/raw_tests/.ipynb_checkpoints/run-checkpoint.sh
@@ -0,0 +1,6 @@
+#!/bin/bash
+
+Rscript ./teste_ks.r
+Rscript ./teste_f.r
+Rscript ./teste_t.r
+Rscript ./teste_cohend.r
diff --git a/Testes_norm/raw_tests/.ipynb_checkpoints/teste_cohend-checkpoint.r b/Testes_norm/raw_tests/.ipynb_checkpoints/teste_cohend-checkpoint.r
new file mode 100644
index 0000000000000000000000000000000000000000..a9c810e43eac0a77ead6436ff05ee216b34d31fa
--- /dev/null
+++ b/Testes_norm/raw_tests/.ipynb_checkpoints/teste_cohend-checkpoint.r
@@ -0,0 +1,139 @@
+#!/usr/bin/env Rscrit
+
+# Function to remove outliers using the IQR method
+remove_outliers <- function(data) {
+  # Calculate the interquartile range (IQR)
+  Q1 <- quantile(data, 0.25)
+  Q3 <- quantile(data, 0.75)
+  IQR <- Q3 - Q1
+  
+  # Define the lower and upper bounds
+  lower_bound <- Q1 - 1.5 * IQR
+  upper_bound <- Q3 + 1.5 * IQR
+  
+  # Remove outliers
+  cleaned_data <- data[data >= lower_bound & data <= upper_bound]
+  
+  # Return the cleaned data
+  return(cleaned_data)
+}
+
+
+# Carrega CSV
+options(warn = -1)
+library(effsize)
+df = read.csv("../../dados/escola_integers.csv", sep="|")
+#head(df)
+
+# Colunas do csv de saida
+colunas = c("coluna1", "ano_coluna1", "coluna2", "ano_coluna2", "tamanho_amostra1", "estatistica_cohend")
+output_df = data.frame(matrix(ncol = length(colunas), nrow = 0));
+
+# Remove ANO_CENSO das iteracoes
+atributos = names(df)
+atributos = atributos[atributos != "ANO_CENSO"]
+            
+# Separa os anos em amostras
+ANO <- df["ANO_CENSO"]
+
+for(ano in sort(unique(df$ANO_CENSO))){
+    for(col1 in atributos) {
+        for(col2 in atributos) {
+
+            # Amostra de um ano
+            X <- df[col1]
+            data1 <- X[ANO == ano]
+
+            # Amostra do ano seguinte
+            Y <- df[col2]
+            data2 <- Y[ANO == ano+1]
+
+            # Remove zeros
+            data1 <- data1[data1 != 0]
+            data2 <- data2[data2 != 0]
+
+            # Remove NaN, outliers e ordena
+            data1 <- remove_outliers(na.omit(data1))
+            data2 <- remove_outliers(na.omit(data2))
+
+            # Pula casos em que não há dados nas amostras
+            if(length(data1) == 0 || length(data2) == 0){
+                next
+            }
+
+            # Ajusta dados em histogramas
+            data1 <- hist(data1, breaks=10, PLOT=FALSE, main=col1)
+            data2 <- hist(data2, breaks=10, PLOT=FALSE, main=col2)
+            data1 <- data1$count
+            data2 <- data2$count
+
+            # Teste Cohen D
+            resultado = cohen.d(data1, data2)
+
+            # Concatena resultados no dataframe
+            nova_linha = c(col1, ano, col2, ano+1, length(data1), resultado$estimate)
+            output_df = rbind(output_df, nova_linha)
+        }
+    }
+}
+output_csv = "../Result_COHEND/COHEND_subsequente.csv"
+colnames(output_df) <- colunas
+write.csv(output_df, file = output_csv, row.names = FALSE)
+
+# ACUMULADO =====================================
+
+# Colunas do csv de saida
+colunas = c("coluna1", "ano_coluna1", "coluna2", "ano_coluna2", "tamanho_amostra1", "estatistica_cohend")
+output_df = data.frame(matrix(ncol = length(colunas), nrow = 0))
+ano_start = min(df$ANO_CENSO)
+
+# Remove ANO_CENSO das iteracoes
+atributos = names(df)
+atributos = atributos[atributos != "ANO_CENSO"]
+            
+# Separa os anos em amostras
+ANO_COLUMN <- df["ANO_CENSO"]
+
+for(ano in sort(unique(df$ANO_CENSO))){
+    for(col1 in atributos) {
+        for(col2 in atributos) {
+
+            # Amostra acumulada dos anos
+            X <- df[col1]
+            data1 <- X[ANO_COLUMN >= ano_start & ANO_COLUMN <= ano]
+
+            # Amostra do ano seguinte
+            Y <- df[col2]
+            data2 <- Y[ANO_COLUMN == ano+1]
+
+            # Remove zeros
+            data1 <- data1[data1 != 0]
+            data2 <- data2[data2 != 0]
+
+            # Remove NaN, outliers e ordena
+            data1 <- remove_outliers(na.omit(data1))
+            data2 <- remove_outliers(na.omit(data2))
+
+            # Pula casos em que não há dados nas amostras
+            if(length(data1) == 0 || length(data2) == 0){
+                next
+            }
+
+            # Ajusta dados em histogramas
+            data1 <- hist(data1, breaks=10, PLOT=FALSE, main=col1)
+            data2 <- hist(data2, breaks=10, PLOT=FALSE, main=col2)
+            data1 <- data1$count
+            data2 <- data2$count
+
+            # Teste Cohend
+            resultado = cohen.d(data1, data2)
+
+            # Concatena resultados no dataframe
+            nova_linha = c(col1, ano, col2, ano+1, length(data1), resultado$estimate)
+            output_df = rbind(output_df, nova_linha)
+        }
+    }
+}
+output_csv = "../Result_COHEND/COHEND_acumulado.csv"
+colnames(output_df) <- colunas
+write.csv(output_df, file = output_csv, row.names = FALSE)
diff --git a/Testes_norm/raw_tests/.ipynb_checkpoints/teste_f-checkpoint.r b/Testes_norm/raw_tests/.ipynb_checkpoints/teste_f-checkpoint.r
new file mode 100644
index 0000000000000000000000000000000000000000..ce064ae87a0f629e8d6731620dbfdd52f1282c3a
--- /dev/null
+++ b/Testes_norm/raw_tests/.ipynb_checkpoints/teste_f-checkpoint.r
@@ -0,0 +1,128 @@
+#!/usr/bin/env Rscript
+
+# Function to remove outliers using the IQR method
+remove_outliers <- function(data) {
+  # Calculate the interquartile range (IQR)
+  Q1 <- quantile(data, 0.25)
+  Q3 <- quantile(data, 0.75)
+  IQR <- Q3 - Q1
+  
+  # Define the lower and upper bounds
+  lower_bound <- Q1 - 1.5 * IQR
+  upper_bound <- Q3 + 1.5 * IQR
+  
+  # Remove outliers
+  cleaned_data <- data[data >= lower_bound & data <= upper_bound]
+  
+  # Return the cleaned data
+  return(cleaned_data)
+}
+
+# MAIN ==========================================
+
+# Carrega CSV
+options(warn = -1)
+df = read.csv("../../dados//escola_integers.csv", sep="|")
+#head(df)
+
+
+# Colunas do csv de saida
+colunas = c("coluna1", "ano_coluna1", "coluna2", "ano_coluna2", "tamanho_amostra1", "estatistica_f", "p_valor")
+output_df = data.frame(matrix(ncol = length(colunas), nrow = 0))
+
+# Remove ANO_CENSO das iteracoes
+atributos = names(df)
+atributos = atributos[atributos != "ANO_CENSO"]
+
+# Separa os anos em amostras
+ANO <- df["ANO_CENSO"]
+
+for(ano in sort(unique(df$ANO_CENSO))){
+    for(col1 in atributos) {
+        for(col2 in atributos) {
+
+            # Amostra de um ano
+            X <- df[col1]
+            data1 <- X[ANO == ano]
+
+            # Amostra do ano seguinte
+            Y <- df[col2]
+            data2 <- Y[ANO == ano+1]
+
+            # Remove zeros
+            data1 <- data1[data1 != 0]
+            data2 <- data2[data2 != 0]
+            
+            # Remove NaN
+            data1 <- remove_outliers(na.omit(data1))
+            data2 <- remove_outliers(na.omit(data2))
+
+            # Pula casos em que não há dados nas amostras
+            if(length(data1) == 0 || length(data2) == 0){
+                next
+            }
+
+            # Teste F
+            resultado = var.test(data1, data2)
+
+            # Concatena resultados no dataframe
+            nova_linha = c(col1, ano, col2, ano+1, length(data1), resultado$statistic, resultado$p.value)
+            output_df = rbind(output_df, nova_linha)
+        }
+    }
+}
+output_csv = "../Result_F/F_subsequente.csv"
+colnames(output_df) <- colunas
+write.csv(output_df, file = output_csv, row.names = FALSE)
+
+# ACUMULADO =====================================
+
+# Colunas do csv de saida
+colunas = c("coluna1", "ano_coluna1", "coluna2", "ano_coluna2", "tamanho_amostra1", "estatistica_f", "p_valor")
+output_df = data.frame(matrix(ncol = length(colunas), nrow = 0))
+ano_start = min(df$ANO_CENSO)
+
+# Remove ANO_CENSO das iteracoes
+atributos = names(df)
+atributos = atributos[atributos != "ANO_CENSO"]
+
+# Separa os anos em amostras
+ANO_COLUMN <- df["ANO_CENSO"]
+
+for(ano in sort(unique(df$ANO_CENSO))){
+    for(col1 in atributos) {
+        for(col2 in atributos) {
+
+            # Amostra acumulada dos anos
+            X <- df[col1]
+            data1 <- X[ANO_COLUMN >= ano_start & ANO_COLUMN <= ano]
+
+            # Amostra do ano seguinte
+            Y <- df[col2]
+            data2 <- Y[ANO_COLUMN == ano+1]
+
+            # Remove zeros
+            data1 <- data1[data1 != 0]
+            data2 <- data2[data2 != 0]
+            
+            # Remove NaN
+            data1 <- remove_outliers(na.omit(data1))
+            data2 <- remove_outliers(na.omit(data2))
+
+            # Pula casos em que não há dados nas amostras
+            if(length(data1) == 0 || length(data2) == 0){
+                next
+            }
+            
+            # Teste F
+            resultado = var.test(data1, data2)
+
+            # Concatena resultados no dataframe
+            nova_linha = c(col1, ano, col2, ano+1, length(data1), resultado$statistic, resultado$p.value)
+            output_df = rbind(output_df, nova_linha)
+        }
+    }
+}
+output_csv = "../Result_F/F_acumulado.csv"
+colnames(output_df) <- colunas
+write.csv(output_df, file = output_csv, row.names = FALSE)
diff --git a/Testes_norm/raw_tests/.ipynb_checkpoints/teste_ks-checkpoint.r b/Testes_norm/raw_tests/.ipynb_checkpoints/teste_ks-checkpoint.r
new file mode 100644
index 0000000000000000000000000000000000000000..032e5fba5d1ec7bffc9ae915775489726ed25879
--- /dev/null
+++ b/Testes_norm/raw_tests/.ipynb_checkpoints/teste_ks-checkpoint.r
@@ -0,0 +1,167 @@
+#!/usr/bin/env Rscript
+
+# Function to remove outliers using the IQR method
+remove_outliers <- function(data) {
+  # Calculate the interquartile range (IQR)
+  Q1 <- quantile(data, 0.25)
+  Q3 <- quantile(data, 0.75)
+  IQR <- Q3 - Q1
+  
+  # Define the lower and upper bounds
+  lower_bound <- Q1 - 1.5 * IQR
+  upper_bound <- Q3 + 1.5 * IQR
+  
+  # Remove outliers
+  cleaned_data <- data[data >= lower_bound & data <= upper_bound]
+  
+  # Return the cleaned data
+  return(cleaned_data)
+}
+
+# Function to calculate the step between subsamples
+get_step <- function(data, tam) {
+    return(length(data)/tam)
+}
+
+max_step <- function(data1, data2) {
+    if(length(data1) > length(data2)){
+        return(length(data1) / length(data2))
+    }
+    return(length(data2) / length(data1))
+}
+
+mono_get_sample <- function(data, tam){
+    step = get_step(data, tam)
+    indexes = seq(1, length(data), step)
+    return (data[indexes, drop=FALSE])
+}
+
+# MAIN ==========================================
+
+# Carrega CSV
+options(warn = -1)
+df = read.csv("../../dados/escola_integers.csv", sep="|")
+#head(df)
+
+# Colunas do csv de saida
+colunas = c("coluna1", "ano_coluna1", "coluna2", "ano_coluna2", "tamanho_amostra", "estatistica_ks", "p_valor")
+output_df = data.frame(matrix(ncol = length(colunas), nrow = 0))
+
+# Remove ANO_CENSO das iteracoes
+atributos = names(df)
+atributos = atributos[atributos != "ANO_CENSO"]
+
+# Separa os anos em amostras
+ANO <- df["ANO_CENSO"]
+
+for(ano in sort(unique(df$ANO_CENSO))){
+    for(col1 in atributos) {
+        for(col2 in atributos) {
+
+            # Amostra de um ano
+            X <- df[col1]
+            data1 <- X[ANO == ano]
+
+            # Amostra do ano seguinte
+            Y <- df[col2]
+            data2 <- Y[ANO == ano+1]
+
+            # Remove zeros
+            data1 <- data1[data1 != 0]
+            data2 <- data2[data2 != 0]
+            
+            # Remove NaN, outliers e ordena
+            data1 <- remove_outliers(na.omit(data1))
+            data2 <- remove_outliers(na.omit(data2))
+
+            # Distribui as amostras para o tamanho da menor amostra
+            #tam = min(length(data1), length(data2))
+            #data1 = mono_get_sample(data1, tam)
+            #data2 = mono_get_sample(data2, tam)
+
+            # Pula casos em que não há dados nas amostras
+            if(length(data1) == 0 || length(data2) == 0){
+                next
+            }
+            
+            # Ajusta dados em histogramas
+            data1 <- hist(data1, breaks=10, PLOT=FALSE)
+            data2 <- hist(data2, breaks=10, PLOT=FALSE)
+            data1 <- data1$count
+            data2 <- data2$count
+
+            # Teste KS
+            resultado = ks.test(data1, data2)
+
+            # Concatena resultados no dataframe
+            nova_linha = c(col1, ano, col2, ano+1, length(data1), resultado$statistic, resultado$p.value)
+            output_df = rbind(output_df, nova_linha)
+        }
+    }
+}
+output_csv = "../Result_KS/KS_subsequente.csv"
+colnames(output_df) <- colunas
+write.csv(output_df, file = output_csv, row.names = FALSE)
+
+# ACUMULADO =====================================
+
+# Colunas do csv de saida
+colunas = c("coluna1", "ano_coluna1", "coluna2", "ano_coluna2", "tamanho_amostra", "estatistica_ks", "p_valor")
+output_df = data.frame(matrix(ncol = length(colunas), nrow = 0))
+ano_start = min(df$ANO_CENSO)
+
+# Remove ANO_CENSO das iteracoes
+atributos = names(df)
+atributos = atributos[atributos != "ANO_CENSO"]
+
+# Separa os anos em amostras
+ANO_COLUMN <- df["ANO_CENSO"]
+
+for(ano in sort(unique(df$ANO_CENSO))){
+    for(col1 in atributos) {
+        for(col2 in atributos) {
+
+            # Amostra acumulada dos anos
+            X <- df[col1]
+            data1 <- X[ANO_COLUMN >= ano_start & ANO_COLUMN <= ano]
+
+            # Amostra do ano seguinte
+            Y <- df[col2]
+            data2 <- Y[ANO_COLUMN == ano+1]
+
+            # Remove zeros
+            data1 <- data1[data1 != 0]
+            data2 <- data2[data2 != 0]
+            
+            # Remove NaN, outliers e ordena
+            data1 <- remove_outliers(na.omit(data1))
+            data2 <- remove_outliers(na.omit(data2))
+            
+            # Cria uma amostra bem distribuída
+            #tam = min(length(data1), length(data2))
+            #data1 = mono_get_sample(data1, tam)
+            #data2 = mono_get_sample(data2, tam)
+
+            # Pula casos em que não há dados nas amostras
+            if(length(data1) == 0 || length(data2) == 0){
+                next
+            }
+
+            # Ajusta dados em histogramas
+            data1 <- hist(data1, breaks=10, PLOT=FALSE)
+            data2 <- hist(data2, breaks=10, PLOT=FALSE)
+            data1 <- data1$count
+            data2 <- data2$count
+
+            # Teste KS
+            resultado = ks.test(data1, data2)
+
+            # Concatena resultados no dataframe
+            nova_linha = c(col1, ano, col2, ano+1, length(data1), resultado$statistic, resultado$p.value)
+            output_df = rbind(output_df, nova_linha)
+        }
+    }
+}
+output_csv = "../Result_KS/KS_acumulado.csv"
+colnames(output_df) <- colunas
+write.csv(output_df, file = output_csv, row.names = FALSE)
diff --git a/Testes_norm/raw_tests/.ipynb_checkpoints/teste_t-checkpoint.r b/Testes_norm/raw_tests/.ipynb_checkpoints/teste_t-checkpoint.r
new file mode 100644
index 0000000000000000000000000000000000000000..714e3dd30e6d2d2322b2870f5afa50c2765b69ab
--- /dev/null
+++ b/Testes_norm/raw_tests/.ipynb_checkpoints/teste_t-checkpoint.r
@@ -0,0 +1,152 @@
+#!/usr/bin/env Rscript
+
+# Function to remove outliers using the IQR method
+remove_outliers <- function(data) {
+  # Calculate the interquartile range (IQR)
+  Q1 <- quantile(data, 0.25)
+  Q3 <- quantile(data, 0.75)
+  IQR <- Q3 - Q1
+  
+  # Define the lower and upper bounds
+  lower_bound <- Q1 - 1.5 * IQR
+  upper_bound <- Q3 + 1.5 * IQR
+  
+  # Remove outliers
+  cleaned_data <- data[data >= lower_bound & data <= upper_bound]
+  
+  # Return the cleaned data
+  return(cleaned_data)
+}
+
+
+# Carrega CSV
+options(warn = -1)
+df = read.csv("../../dados/escola_integers.csv", sep="|")
+#head(df)
+
+# Colunas do csv de saida
+colunas = c("coluna1", "ano_coluna1", "coluna2", "ano_coluna2", "tamanho_amostra1", "estatistica_t", "p_valor")
+output_df = data.frame(matrix(ncol = length(colunas), nrow = 0));
+
+# Remove ANO_CENSO das iteracoes
+atributos = names(df)
+atributos = atributos[atributos != "ANO_CENSO"]
+            
+# Separa os anos em amostras
+ANO <- df["ANO_CENSO"]
+
+for(ano in sort(unique(df$ANO_CENSO))){
+    for(col1 in atributos) {
+        for(col2 in atributos) {
+
+            # Amostra de um ano
+            X <- df[col1]
+            data1 <- X[ANO == ano]
+
+            # Amostra do ano seguinte
+            Y <- df[col2]
+            data2 <- Y[ANO == ano+1]
+
+            # Remove zeros
+            data1 <- data1[data1 != 0]
+            data2 <- data2[data2 != 0]
+
+            # Remove NaN, outliers e ordena
+            data1 <- remove_outliers(na.omit(data1))
+            data2 <- remove_outliers(na.omit(data2))
+
+            # Pula casos em que não há dados nas amostras
+            if(length(data1) == 0 || length(data2) == 0){
+                next
+            }
+
+            # Pula casos em que a variancia zera
+            if ( (var(data1)==0) && (var(data2)==0) ){
+                # Concatena resultados no dataframe
+                nova_linha = c(col1, ano, col2, ano+1, length(data1), NaN, NaN)
+                output_df = rbind(output_df, nova_linha)
+            } else {
+                # Ajusta dados em histogramas
+                data1 <- hist(data1, breaks=10, PLOT=FALSE)
+                data2 <- hist(data2, breaks=10, PLOT=FALSE)
+                data1 <- data1$count
+                data2 <- data2$count
+
+                # Teste T
+                resultado = t.test(data1, data2)
+
+                # Concatena resultados no dataframe
+                nova_linha = c(col1, ano, col2, ano+1, length(data1), resultado$statistic, resultado$p.value)
+                output_df = rbind(output_df, nova_linha)
+            }
+        }
+    }
+}
+output_csv = "../Result_T/T_subsequente.csv"
+colnames(output_df) <- colunas
+write.csv(output_df, file = output_csv, row.names = FALSE)
+
+# ACUMULADO =====================================
+
+# Colunas do csv de saida
+colunas = c("coluna1", "ano_coluna1", "coluna2", "ano_coluna2", "tamanho_amostra1", "estatistica_t", "p_valor")
+output_df = data.frame(matrix(ncol = length(colunas), nrow = 0))
+ano_start = min(df$ANO_CENSO)
+
+# Remove ANO_CENSO das iteracoes
+atributos = names(df)
+atributos = atributos[atributos != "ANO_CENSO"]
+            
+# Separa os anos em amostras
+ANO_COLUMN <- df["ANO_CENSO"]
+
+for(ano in sort(unique(df$ANO_CENSO))){
+    for(col1 in atributos) {
+        for(col2 in atributos) {
+
+            # Amostra acumulada dos anos
+            X <- df[col1]
+            data1 <- X[ANO_COLUMN >= ano_start & ANO_COLUMN <= ano]
+
+            # Amostra do ano seguinte
+            Y <- df[col2]
+            data2 <- Y[ANO_COLUMN == ano+1]
+
+            # Remove zeros
+            data1 <- data1[data1 != 0]
+            data2 <- data2[data2 != 0]
+
+            # Remove NaN, outliers e ordena
+            data1 <- remove_outliers(na.omit(data1))
+            data2 <- remove_outliers(na.omit(data2))
+
+            # Pula casos em que não há dados nas amostras
+            if(length(data1) == 0 || length(data2) == 0){
+                next
+            }
+
+            # Pula casos em que a variancia zera
+            if ( (var(data1)==0) && (var(data2)==0) ){
+                # Concatena resultados no dataframe
+                nova_linha = c(col1, ano, col2, ano+1, length(data1), NaN, NaN)
+                output_df = rbind(output_df, nova_linha)
+            } else {
+                # Ajusta dados em histogramas
+                data1 <- hist(data1, breaks=10, PLOT=FALSE)
+                data2 <- hist(data2, breaks=10, PLOT=FALSE)
+                data1 <- data1$count
+                data2 <- data2$count
+
+                # Teste T
+                resultado = t.test(data1, data2)
+
+                # Concatena resultados no dataframe
+                nova_linha = c(col1, ano, col2, ano+1, length(data1), resultado$statistic, resultado$p.value)
+                output_df = rbind(output_df, nova_linha)
+            }
+        }
+    }
+}
+output_csv = "../Result_T/T_acumulado.csv"
+colnames(output_df) <- colunas
+write.csv(output_df, file = output_csv, row.names = FALSE)
diff --git a/Testes_norm/raw_tests/run.sh b/Testes_norm/raw_tests/run.sh
new file mode 100644
index 0000000000000000000000000000000000000000..4c43edad38d7afc62dfd117cbfd35e213dbfb5e4
--- /dev/null
+++ b/Testes_norm/raw_tests/run.sh
@@ -0,0 +1,6 @@
+#!/bin/bash
+
+Rscript ./teste_ks.r
+Rscript ./teste_f.r
+Rscript ./teste_t.r
+Rscript ./teste_cohend.r
diff --git a/Testes_norm/raw_tests/teste_cohend.r b/Testes_norm/raw_tests/teste_cohend.r
new file mode 100644
index 0000000000000000000000000000000000000000..f307484f9bb281071f4879a241c650c08f5208a0
--- /dev/null
+++ b/Testes_norm/raw_tests/teste_cohend.r
@@ -0,0 +1,88 @@
+#!/usr/bin/env Rscrit
+
+# Function to remove outliers using the IQR method
+remove_outliers <- function(data) {
+  # Calculate the interquartile range (IQR)
+  Q1 <- quantile(data, 0.25)
+  Q3 <- quantile(data, 0.75)
+  IQR <- Q3 - Q1
+  
+  # Define the lower and upper bounds
+  lower_bound <- Q1 - 1.5 * IQR
+  upper_bound <- Q3 + 1.5 * IQR
+  
+  # Remove outliers
+  cleaned_data <- data[data >= lower_bound & data <= upper_bound]
+  
+  # Return the cleaned data
+  return(cleaned_data)
+}
+
+
+# Carrega CSV
+options(warn = -1)
+library(effsize)
+df = read.csv("../../dados/escola_integers.csv", sep="|")
+#head(df)
+
+# Colunas do csv de saida
+colunas = c("coluna1", "ano_coluna1", "coluna2", "ano_coluna2", "tamanho_amostra1", "estatistica_cohend")
+output_df = data.frame(matrix(ncol = length(colunas), nrow = 0));
+
+# Remove ANO_CENSO das iteracoes
+atributos = names(df)
+atributos = atributos[atributos != "ANO_CENSO"]
+            
+# Separa os anos em amostras
+ANO <- df["ANO_CENSO"]
+
+for(ano in sort(unique(df$ANO_CENSO))){
+    for(col1 in atributos) {
+        for(col2 in atributos) {
+
+            # Amostra de um ano
+            X <- df[col1]
+            data1 <- X[ANO == ano]
+
+            # Amostra do ano seguinte
+            Y <- df[col2]
+            data2 <- Y[ANO == ano+1]
+
+            # Remove zeros
+            data1 <- data1[data1 != 0]
+            data2 <- data2[data2 != 0]
+
+            # Remove NaN, outliers e ordena
+            data1 <- remove_outliers(na.omit(data1))
+            data2 <- remove_outliers(na.omit(data2))
+
+            # Pula casos em que não há dados nas amostras
+            if(length(data1) == 0 || length(data2) == 0){
+                next
+            }
+
+            # histogramas
+            par(mfrow=c(1, 2))   # Ajusta plot
+            data1 <- hist(data1, breaks=10, PLOT=FALSE, main=paste(col1, as.character(ano)), col=rgb(1,0,0,0.5))
+            data2 <- hist(data2, breaks=10, PLOT=FALSE, main=paste(col2, as.character(ano+1)), col=rgb(0,0,1,0.5))
+            
+            # Normaliza
+            data1 <- data1$count / sum(data1$count)
+            data2 <- data2$count / sum(data2$count)
+            
+            plot(data1, main=paste(col1, as.character(ano)), xlab="Value", ylab="Normalized Frequency", col="red")
+            plot(data2, main=paste(col2, as.character(ano+1)), xlab="Value", ylab="Normalized Frequency", col="blue")
+
+            # Teste Cohen D
+            resultado = cohen.d(data1, data2)
+
+            # Concatena resultados no dataframe
+            nova_linha = c(col1, ano, col2, ano+1, length(data1), resultado$estimate)
+            output_df = rbind(output_df, nova_linha)
+        }
+    }
+}
+output_csv = "../Result_COHEND/COHEND_subsequente.csv"
+colnames(output_df) <- colunas
+write.csv(output_df, file = output_csv, row.names = FALSE)
+
diff --git a/Testes_norm/raw_tests/teste_f.r b/Testes_norm/raw_tests/teste_f.r
new file mode 100644
index 0000000000000000000000000000000000000000..9050d3dee9ed688acf1ac519bee1540bb3934974
--- /dev/null
+++ b/Testes_norm/raw_tests/teste_f.r
@@ -0,0 +1,89 @@
+#!/usr/bin/env Rscript
+
+# Function to remove outliers using the IQR method
+remove_outliers <- function(data) {
+  # Calculate the interquartile range (IQR)
+  Q1 <- quantile(data, 0.25)
+  Q3 <- quantile(data, 0.75)
+  IQR <- Q3 - Q1
+  
+  # Define the lower and upper bounds
+  lower_bound <- Q1 - 1.5 * IQR
+  upper_bound <- Q3 + 1.5 * IQR
+  
+  # Remove outliers
+  cleaned_data <- data[data >= lower_bound & data <= upper_bound]
+  
+  # Return the cleaned data
+  return(cleaned_data)
+}
+
+# MAIN ==========================================
+
+# Carrega CSV
+options(warn = -1)
+df = read.csv("../../dados//escola_integers.csv", sep="|")
+#head(df)
+
+
+# Colunas do csv de saida
+colunas = c("coluna1", "ano_coluna1", "coluna2", "ano_coluna2", "tamanho_amostra1", "estatistica_f", "p_valor")
+output_df = data.frame(matrix(ncol = length(colunas), nrow = 0))
+
+# Remove ANO_CENSO das iteracoes
+atributos = names(df)
+atributos = atributos[atributos != "ANO_CENSO"]
+
+# Separa os anos em amostras
+ANO <- df["ANO_CENSO"]
+
+for(ano in sort(unique(df$ANO_CENSO))){
+    for(col1 in atributos) {
+        for(col2 in atributos) {
+
+            # Amostra de um ano
+            X <- df[col1]
+            data1 <- X[ANO == ano]
+
+            # Amostra do ano seguinte
+            Y <- df[col2]
+            data2 <- Y[ANO == ano+1]
+
+            # Remove zeros
+            data1 <- data1[data1 != 0]
+            data2 <- data2[data2 != 0]
+            
+            # Remove NaN
+            data1 <- remove_outliers(na.omit(data1))
+            data2 <- remove_outliers(na.omit(data2))
+
+            # Pula casos em que não há dados nas amostras
+            if(length(data1) == 0 || length(data2) == 0){
+                next
+            }
+ 
+            # histogramas
+            par(mfrow=c(1, 2))   # Ajusta plot
+            data1 <- hist(data1, breaks=10, PLOT=FALSE, main=paste(col1, as.character(ano)), col=rgb(1,0,0,0.5))
+            data2 <- hist(data2, breaks=10, PLOT=FALSE, main=paste(col2, as.character(ano+1)), col=rgb(0,0,1,0.5))
+            
+            # Normaliza
+            data1 <- data1$count / sum(data1$count)
+            data2 <- data2$count / sum(data2$count)
+            
+            plot(data1, main=paste(col1, as.character(ano)), xlab="Value", ylab="Normalized Frequency", col="red")
+            plot(data2, main=paste(col2, as.character(ano+1)), xlab="Value", ylab="Normalized Frequency", col="blue")
+
+            # Teste F
+            resultado = var.test(data1, data2)
+
+            # Concatena resultados no dataframe
+            nova_linha = c(col1, ano, col2, ano+1, length(data1), resultado$statistic, resultado$p.value)
+            output_df = rbind(output_df, nova_linha)
+        }
+    }
+}
+output_csv = "../Result_F/F_subsequente.csv"
+colnames(output_df) <- colunas
+write.csv(output_df, file = output_csv, row.names = FALSE)
+
diff --git a/Testes_norm/raw_tests/teste_ks.r b/Testes_norm/raw_tests/teste_ks.r
new file mode 100644
index 0000000000000000000000000000000000000000..32b5dd938682f736183fec7860acc5cdb57a16e7
--- /dev/null
+++ b/Testes_norm/raw_tests/teste_ks.r
@@ -0,0 +1,106 @@
+#!/usr/bin/env Rscript
+
+# Function to remove outliers using the IQR method
+remove_outliers <- function(data) {
+  # Calculate the interquartile range (IQR)
+  Q1 <- quantile(data, 0.25)
+  Q3 <- quantile(data, 0.75)
+  IQR <- Q3 - Q1
+  
+  # Define the lower and upper bounds
+  lower_bound <- Q1 - 1.5 * IQR
+  upper_bound <- Q3 + 1.5 * IQR
+  
+  # Remove outliers
+  cleaned_data <- data[data >= lower_bound & data <= upper_bound]
+  
+  # Return the cleaned data
+  return(cleaned_data)
+}
+
+# Function to calculate the step between subsamples
+get_step <- function(data, tam) {
+    return(length(data)/tam)
+}
+
+max_step <- function(data1, data2) {
+    if(length(data1) > length(data2)){
+        return(length(data1) / length(data2))
+    }
+    return(length(data2) / length(data1))
+}
+
+mono_get_sample <- function(data, tam){
+    step = get_step(data, tam)
+    indexes = seq(1, length(data), step)
+    return (data[indexes, drop=FALSE])
+}
+
+# MAIN ==========================================
+
+# Carrega CSV
+options(warn = -1)
+df = read.csv("../../dados/escola_integers.csv", sep="|")
+#head(df)
+
+# Colunas do csv de saida
+colunas = c("coluna1", "ano_coluna1", "coluna2", "ano_coluna2", "tamanho_amostra", "estatistica_ks", "p_valor")
+output_df = data.frame(matrix(ncol = length(colunas), nrow = 0))
+
+# Remove ANO_CENSO das iteracoes
+atributos = names(df)
+atributos = atributos[atributos != "ANO_CENSO"]
+
+# Separa os anos em amostras
+ANO <- df["ANO_CENSO"]
+
+for(ano in sort(unique(df$ANO_CENSO))){
+    for(col1 in atributos) {
+        for(col2 in atributos) {
+
+            # Amostra de um ano
+            X <- df[col1]
+            data1 <- X[ANO == ano]
+
+            # Amostra do ano seguinte
+            Y <- df[col2]
+            data2 <- Y[ANO == ano+1]
+
+            # Remove zeros
+            data1 <- data1[data1 != 0]
+            data2 <- data2[data2 != 0]
+            
+            # Remove NaN, outliers e ordena
+            data1 <- remove_outliers(na.omit(data1))
+            data2 <- remove_outliers(na.omit(data2))
+
+            # Pula casos em que não há dados nas amostras
+            if(length(data1) == 0 || length(data2) == 0){
+                next
+            }
+ 
+            # histogramas
+            par(mfrow=c(1, 2))   # Ajusta plot
+            data1 <- hist(data1, breaks=10, PLOT=FALSE, main=paste(col1, as.character(ano)), col=rgb(1,0,0,0.5))
+            data2 <- hist(data2, breaks=10, PLOT=FALSE, main=paste(col2, as.character(ano+1)), col=rgb(0,0,1,0.5))
+            
+            # Normaliza
+            data1 <- data1$count / sum(data1$count)
+            data2 <- data2$count / sum(data2$count)
+            
+            plot(data1, main=paste(col1, as.character(ano)), xlab="Value", ylab="Normalized Frequency", col="red")
+            plot(data2, main=paste(col2, as.character(ano+1)), xlab="Value", ylab="Normalized Frequency", col="blue")
+
+            # Teste KS
+            resultado = ks.test(data1, data2)
+
+            # Concatena resultados no dataframe
+            nova_linha = c(col1, ano, col2, ano+1, length(data1), resultado$statistic, resultado$p.value)
+            output_df = rbind(output_df, nova_linha)
+        }
+    }
+}
+output_csv = "../Result_KS/KS_subsequente.csv"
+colnames(output_df) <- colunas
+write.csv(output_df, file = output_csv, row.names = FALSE)
+
diff --git a/Testes_norm/raw_tests/teste_t.r b/Testes_norm/raw_tests/teste_t.r
new file mode 100644
index 0000000000000000000000000000000000000000..4a0b5f6fecc6a513b06c2713cc57135e7441f8b5
--- /dev/null
+++ b/Testes_norm/raw_tests/teste_t.r
@@ -0,0 +1,87 @@
+#!/usr/bin/env Rscript
+
+# Function to remove outliers using the IQR method
+remove_outliers <- function(data) {
+  # Calculate the interquartile range (IQR)
+  Q1 <- quantile(data, 0.25)
+  Q3 <- quantile(data, 0.75)
+  IQR <- Q3 - Q1
+  
+  # Define the lower and upper bounds
+  lower_bound <- Q1 - 1.5 * IQR
+  upper_bound <- Q3 + 1.5 * IQR
+  
+  # Remove outliers
+  cleaned_data <- data[data >= lower_bound & data <= upper_bound]
+  
+  # Return the cleaned data
+  return(cleaned_data)
+}
+
+
+# Carrega CSV
+options(warn = -1)
+df = read.csv("../../dados/escola_integers.csv", sep="|")
+#head(df)
+
+# Colunas do csv de saida
+colunas = c("coluna1", "ano_coluna1", "coluna2", "ano_coluna2", "tamanho_amostra1", "estatistica_t", "p_valor")
+output_df = data.frame(matrix(ncol = length(colunas), nrow = 0));
+
+# Remove ANO_CENSO das iteracoes
+atributos = names(df)
+atributos = atributos[atributos != "ANO_CENSO"]
+            
+# Separa os anos em amostras
+ANO <- df["ANO_CENSO"]
+
+for(ano in sort(unique(df$ANO_CENSO))){
+    for(col1 in atributos) {
+        for(col2 in atributos) {
+
+            # Amostra de um ano
+            X <- df[col1]
+            data1 <- X[ANO == ano]
+
+            # Amostra do ano seguinte
+            Y <- df[col2]
+            data2 <- Y[ANO == ano+1]
+
+            # Remove zeros
+            data1 <- data1[data1 != 0]
+            data2 <- data2[data2 != 0]
+
+            # Remove NaN, outliers e ordena
+            data1 <- remove_outliers(na.omit(data1))
+            data2 <- remove_outliers(na.omit(data2))
+
+            # Pula casos em que não há dados nas amostras
+            if(length(data1) == 0 || length(data2) == 0){
+                next
+            }
+
+            # histogramas
+            par(mfrow=c(1, 2))   # Ajusta plot
+            data1 <- hist(data1, breaks=10, PLOT=FALSE, main=paste(col1, as.character(ano)), col=rgb(1,0,0,0.5))
+            data2 <- hist(data2, breaks=10, PLOT=FALSE, main=paste(col2, as.character(ano+1)), col=rgb(0,0,1,0.5))
+            
+            # Normaliza
+            data1 <- data1$count / sum(data1$count)
+            data2 <- data2$count / sum(data2$count)
+            
+            plot(data1, main=paste(col1, as.character(ano)), xlab="Value", ylab="Normalized Frequency", col="red")
+            plot(data2, main=paste(col2, as.character(ano+1)), xlab="Value", ylab="Normalized Frequency", col="blue")
+
+            # Teste T
+            resultado = t.test(data1, data2)
+
+            # Concatena resultados no dataframe
+            nova_linha = c(col1, ano, col2, ano+1, length(data1), resultado$statistic, resultado$p.value)
+            output_df = rbind(output_df, nova_linha)
+        }
+    }
+}
+output_csv = "../Result_T/T_subsequente.csv"
+colnames(output_df) <- colunas
+write.csv(output_df, file = output_csv, row.names = FALSE)
+