diff --git a/README.md b/README.md
new file mode 100644
index 0000000..b0d3815
--- /dev/null
+++ b/README.md
@@ -0,0 +1,3 @@
+# APS-CDADOS
+Grupo Alan Matheus e Matheus Aguiar
+Dados da ONU sobre igualdade de gênero.
diff --git a/aps_1.ipynb b/aps_1.ipynb
deleted file mode 100644
index 3e159c0..0000000
--- a/aps_1.ipynb
+++ /dev/null
@@ -1,107 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Análise da representatividade feminina nos parlamenos.\n",
-    "\n",
-    "## Para a análise feita nessa avaliação, a dupla decidiu coletar dados relacionados ao objetivo da ONU de equidade entre gêneros. \n",
-    "\n",
-    "### É evidente que a representatividade feminina em posições de liderança reflete uma sociedade que preza pela igualdade de gênero, pois com uma presença majoritariamente masculina seriam tomadas decisões que não representariam o outro grupo. \n",
-    "\n",
-    "### Dada a importância dessa diversidade, reunimos dados do world bank que analisam a porcentagem de mulheres nos parlamentos dos países Brasil, Islândia e Haiti. Sendo a Islândia um país de referência em igualdade de gênero e o Haiti o extremo oposto, notamos que mesmo em países como a Islândia o crescimento foi pouco e ainda assim não chega a 50% de representatividade no parlamento."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 864x720 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "import pandas as pd\n",
-    "import matplotlib.pyplot as plt \n",
-    "\n",
-    "\n",
-    "df = pd.read_csv('data/API_SG.GEN.PARL.ZS_DS2_en_csv_v2_4413582/API_SG.GEN.PARL.ZS_DS2_en_csv_v2_4413582.csv', skiprows = 4)\n",
-    "\n",
-    "df.head()\n",
-    "\n",
-    "anos_str = [str(i) for i in range(2004, 2019)]\n",
-    "anos = [i for i in range(2004, 2019)]\n",
-    "\n",
-    "df_mundo = df[anos_str].mean()\n",
-    "filtro_haiti = df['Country Name'] == 'Haiti'\n",
-    "filtro_br = df['Country Name'] == 'Brazil'\n",
-    "filtro_noruga = df['Country Name'] == 'Iceland'\n",
-    "\n",
-    "df_brasil = df[filtro_br]\n",
-    "df_haiti = df[filtro_haiti]\n",
-    "df_noruga = df[filtro_noruga]\n",
-    "\n",
-    "taxa_de_mulheres_no_parlamento_do_haiti = df_haiti[anos_str].mean()\n",
-    "taxa_de_mulheres_no_parlamento_do_brasil = df_brasil[anos_str].mean()\n",
-    "taxa_de_mulheres_no_parlamento_da_islandia = df_noruga[anos_str].mean()\n",
-    "\n",
-    "\n",
-    "plt.figure(figsize=(12,10))\n",
-    "plt.plot(anos, taxa_de_mulheres_no_parlamento_do_haiti)\n",
-    "plt.plot(anos,taxa_de_mulheres_no_parlamento_do_brasil)\n",
-    "plt.plot(anos,taxa_de_mulheres_no_parlamento_da_islandia)\n",
-    "plt.legend(['Afeganistão', 'Brasil', 'Islândia'])\n",
-    "plt.xlabel(\"anos\")\n",
-    "plt.ylabel(\"taxa de mulheres no parlamento (%)\")\n",
-    "plt.title('Taxa de mulheres ocupando cadeiras no parlamento')\n",
-    "plt.show()\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3.10.2 64-bit",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.10.2"
-  },
-  "orig_nbformat": 4,
-  "vscode": {
-   "interpreter": {
-    "hash": "d318107c6815cca30760a96ba7d25a1f82fbfac7cae098cf40593e797620cbaa"
-   }
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/aps_geral.ipynb b/aps_geral.ipynb
new file mode 100644
index 0000000..aa5b5a3
--- /dev/null
+++ b/aps_geral.ipynb
@@ -0,0 +1,430 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Análise da representatividade feminina nos parlamenos.\n",
+    "\n",
+    "## Para a análise feita nessa avaliação, a dupla decidiu coletar dados relacionados ao objetivo da ONU de equidade entre gêneros. \n",
+    "\n",
+    " É evidente que a representatividade feminina em posições de liderança reflete uma sociedade que preza pela igualdade de gênero, pois com uma presença majoritariamente masculina seriam tomadas decisões que não representariam um outro grupo. \n",
+    "\n",
+    " Dada a importância dessa diversidade, reunimos dados do world bank que analisam a porcentagem de mulheres nos parlamentos dos países Brasil, Islândia e Haiti. Segundo o jornal ElPaís, a Islândia é um país de referência em igualdade de gênero e o Haiti o extremo oposto, notamos que mesmo em países como a Islândia o crescimento foi pouco e ainda assim não se aproxima a 50% de representatividade no parlamento.\n",
+    "\n",
+    " Referência:\n",
+    "   -https://brasil.elpais.com/sociedade/2021-03-31/pandemia-adia-igualdade-de-genero-por-mais-uma-geracao.html"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 864x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt \n",
+    "\n",
+    "\n",
+    "df = pd.read_csv('data/API_SG.GEN.PARL.ZS_DS2_en_csv_v2_4413582/API_SG.GEN.PARL.ZS_DS2_en_csv_v2_4413582.csv', skiprows = 4)\n",
+    "\n",
+    "anos_str = [str(i) for i in range(2004, 2019)]\n",
+    "anos = [i for i in range(2004, 2019)]\n",
+    "\n",
+    "filtro_haiti = df['Country Name'] == 'Haiti'\n",
+    "filtro_br = df['Country Name'] == 'Brazil'\n",
+    "filtro_islandia = df['Country Name'] == 'Iceland'\n",
+    "\n",
+    "df_brasil = df[filtro_br]\n",
+    "df_haiti = df[filtro_haiti]\n",
+    "df_noruga = df[filtro_islandia]\n",
+    "\n",
+    "taxa_de_mulheres_no_parlamento_do_haiti = df_haiti[anos_str].mean()\n",
+    "taxa_de_mulheres_no_parlamento_do_brasil = df_brasil[anos_str].mean()\n",
+    "taxa_de_mulheres_no_parlamento_da_islandia = df_noruga[anos_str].mean()\n",
+    "\n",
+    "\n",
+    "plt.figure(figsize=(12,10))\n",
+    "plt.plot(anos, taxa_de_mulheres_no_parlamento_do_haiti)\n",
+    "plt.plot(anos,taxa_de_mulheres_no_parlamento_do_brasil)\n",
+    "plt.plot(anos,taxa_de_mulheres_no_parlamento_da_islandia)\n",
+    "plt.legend(['Haiti', 'Brasil', 'Islândia'])\n",
+    "plt.xlabel(\"ANOS\")\n",
+    "plt.ylabel(\"TAXA DE MULHERES NO PARLAMENTO (%)\")\n",
+    "plt.title('Ocupação feminina no parlamento')\n",
+    "plt.show()\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Análise da relação entre mulheres exercendo funções trabalhistas e a representatividade no parlamento\n",
+    "\n",
+    "Em 2018, o Banco Mundial divulgou o relatório Perda de Oportunidades: o elevado custo de não educar as meninas. \n",
+    "Tal relatório fomentava que a falta de igualdade de gênero traz consigo um grande prejuízo financeiro mundial. \n",
+    "Por outro lado, focar em questões de gênero e igualdade aumentaria a possibilidade de mulheres participarem integralmente da sociedade e ser membros ativos das suas comunidades, principalmente no mercado de trabalho.\n",
+    "Por isso, o objetivo dessa comparação é observar se uma presença maior de mulheres no parlamento(indicando maior igualdade de gênero nas decisões da sociedade) poderia trazer como consequência uma maior participação das mulheres no mercado de trabalho.\n",
+    "\n",
+    "\n",
+    "\n",
+    "\n",
+    "A idéia é traçar correlações entre os gráficos de participação feminina no parlamento e o de inclusão no mercado de trabalho das mulheres."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 864x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "df_servicos = pd.read_csv('data/API_SL.SRV.EMPL.FE.ZS_DS2_en_csv_v2_4354717.csv', skiprows = 4)\n",
+    "df_servicos.head()\n",
+    "\n",
+    "filtro_haiti = df['Country Name'] == 'Haiti'\n",
+    "filtro_br = df['Country Name'] == 'Brazil'\n",
+    "filtro_islandia = df['Country Name'] == 'Iceland'\n",
+    "\n",
+    "df_brasil_servicos = df_servicos[filtro_br]\n",
+    "df_haiti_servicos = df_servicos[filtro_haiti]\n",
+    "df_noruga_servicos = df_servicos[filtro_islandia]\n",
+    "\n",
+    "\n",
+    "taxa_servicos_haiti = df_haiti_servicos[anos_str].mean()\n",
+    "taxa_servicos_brasil = df_brasil_servicos[anos_str].mean()\n",
+    "taxa_servicos_islandia = df_noruga_servicos[anos_str].mean()\n",
+    "plt.figure(figsize=(12,10))\n",
+    "plt.plot(anos, taxa_servicos_haiti)\n",
+    "plt.plot(anos,taxa_servicos_brasil)\n",
+    "plt.plot(anos,taxa_servicos_islandia)\n",
+    "plt.legend(['Haiti', 'Brasil', 'Islândia'])\n",
+    "plt.xlabel(\"anos\")\n",
+    "plt.ylabel(\"Participação feminina no trabalho (% das mulheres)\")\n",
+    "plt.title('Porcentagem de participação de mulheres no mercado de trabalho em 3 países.')\n",
+    "plt.show()\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "A correlação de cada país é: Brasil: 0.6066119164159982, Haiti:-0.16881544421302708, Islandia:0.7307175865299576\n",
+      "A covariância de cada país é: Brasil: 3.3765527450262955, Haiti:-0.9717906214949146, Islandia:6.323355042565034\n",
+      "6.323355042565034\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Correlação\n",
+    "concat_haiti = pd.concat((taxa_de_mulheres_no_parlamento_do_haiti, taxa_servicos_haiti), join='inner', axis=1)\n",
+    "concat_islandia = pd.concat((taxa_de_mulheres_no_parlamento_da_islandia, taxa_servicos_islandia), join='inner', axis=1)\n",
+    "concat_brasil = pd.concat((taxa_de_mulheres_no_parlamento_do_brasil, taxa_servicos_brasil), join='inner', axis=1)\n",
+    "correlacao_islandia = concat_islandia.corr()[1][0]\n",
+    "correlacao_haiti = concat_haiti.corr()[1][0]\n",
+    "correlacao_brasil = concat_brasil.corr()[1][0]\n",
+    "\n",
+    "covariancia_islandia = concat_islandia.cov()[1][0]\n",
+    "covariancia_brasil = concat_brasil.cov()[1][0]\n",
+    "covariancia_haiti =  concat_haiti.cov()[1][0]\n",
+    "print(f'A correlação de cada país é: Brasil: {correlacao_brasil}, Haiti:{correlacao_haiti}, Islandia:{correlacao_islandia}')\n",
+    "print(f'A covariância de cada país é: Brasil: {covariancia_brasil}, Haiti:{covariancia_haiti}, Islandia:{covariancia_islandia}')\n",
+    "\n",
+    "print(covariancia_islandia)\n",
+    "\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "\n",
+    "Como podemos obsevar no gráfico, a taxa de participação das mulheres no meio trabalhista aumenta em todos os países, e ao avaliar a correlação e a covariância obtemos resultados positivos para o Brasil e Islândia, mas o valor é muito baixo o que indica uma relação diretamente proporcional entre os indicadores, porém, para o Haiti essa relação é fraca e inversamente proporcional. Com isso, podemos concluir que esses dados estão ligados de alguma forma, mas claramente a taxa de participação feminina no meio trabalhista não é o único fator que influência isso. No Haiti por exemplo, muitos fatores externos podem ter influenciado no andamento dos dados devido às varias crises que o país passou nos últimos anos.\n",
+    "\n",
+    "\n",
+    "Correção : \n",
+    "    \n",
+    "    Como podemos obsevar no gráfico, a taxa de participação das mulheres no meio trabalhista aumenta em todos os países, e ao avaliar a correlação e a covariância obtemos resultados positivos para o Brasil e Islândia, mas o valor é muito baixo o que não necessariamente indica uma relação diretamente proporcional entre os indicadores ou, no caso do Haiti em que o resultado é negativo , não necessariamnente indica uma relação inversamente proporcional. \n",
+    "\n",
+    "\n",
+    "Referências bibliográficas:\n",
+    "    - https://www.worldbank.org/pt/news/press-release/2018/07/11/not-educating-girls-costs-countries-trillions-of-dollars-says-new-world-bank-report#:~:text=Segundo%20o%20relat%C3%B3rio%20Perda%20de,primeiras%20s%C3%A9ries%20do%20ensino%20m%C3%A9dio.\n",
+    "\n",
+    "\n",
+    "Correções feitas:\n",
+    "    -Países com nomes trocados: corrigido\n",
+    "    -Afirmação sobre a islândia ser país de referência: Trouxe dados do ElPaís\n",
+    "    -Título redundante: Trocado\n",
+    "    -rótulos letras minusculas: corrigido\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Parte 3: Distribuições\n",
+    "### Blocos escolhidos: Mercosul e União Europeia\n",
+    "#### Sobre os blocos:\n",
+    "\n",
+    "## Mercosul:\n",
+    "\n",
+    "O Mercado Comum do Sul (MERCOSUL) é um processo de integração regional conformado inicialmente pela Argentina, Brasil, Paraguai e Uruguai ao qual recentemente incorporaram-se a Venezuela e a Bolívia, esta última em processo de adesão.\n",
+    "\n",
+    "O MERCOSUL é um processo aberto e dinâmico. Desde sua criação teve como objetivo principal propiciar um espaço comum que gerasse oportunidades comerciais e de investimentos mediante a integração competitiva das economias nacionais ao mercado internacional.\n",
+    "\n",
+    "Como resultado, concluiu múltiplos acordos com países ou grupos de países, outorgando-lhes, em alguns casos, status de Estados Associados –é a situação dos países sul-americanos. Eles participam de atividades e reuniões do bloco e contam com preferências comerciais com os Estados Partes. O MERCOSUL também tem assinado acordos de tipo comercial, político ou de cooperação com um diverso número de nações e organismos nos cinco continentes.\n",
+    "\n",
+    "\n",
+    "## União Europeia:\n",
+    "\n",
+    "A União Europeia surgiu em um contexto de pós-Segunda Guerra Mundial (1939-1945), visando à recuperação conjunta e à retomada da paz e união entre os países do continente, maioria dos quais foi diretamente afetada pelos conflitos. Diante disso, o objetivo principal da UE permanece o mesmo desde a sua criação, que é o de promoção da paz, dos seus valores e também do bem-estar de sua população.\n",
+    "### São objetivos específicos da União Europeia:\n",
+    "  \n",
+    "  -livre circulação de pessoas entre os países do bloco;\n",
+    "  \n",
+    "  -estabelecimento de um mercado interno, com livre circulação de capitais e mercadorias;\n",
+    "  \n",
+    "  -estabelecimento de uma união monetária (adoção de uma moeda em comum) e financeira;\n",
+    "  \n",
+    "  -criação de condições para o desenvolvimento sustentável;\n",
+    "  \n",
+    "  -fomento ao progresso da ciência e da tecnologia;\n",
+    "  \n",
+    "  -combate à exclusão social e às discriminações;\n",
+    "  \n",
+    "  -proteção e melhorias ao meio ambiente;\n",
+    "  \n",
+    "  -promoção da coesão social, econômica e territorial entre os países-membros;\n",
+    "  \n",
+    "  -respeito à riqueza e diversidade linguística e cultural dos seus membros.\n",
+    "\n",
+    "As atividades da União Europeia compreendem as esferas política, econômica e jurídica. Para que todas essas funções sejam atendidas, elas são desempenhadas no âmbito de diferentes instituições e organismos que compõem o quadro institucional do bloco. Sendo elas o Parlamento Europeu, o Conselho Europeu, o Conselho da União Europeia e a Comissão Europeia.\n",
+    "\n",
+    "Na esfera econômica, a União Europeia estabeleceu a criação de um banco central e também de uma união econômica e monetária cujo processo transcorreu por toda a década de 1990. Ao fim, além das normas que passaram a regular a política econômica em comum para os países do bloco, foi criada uma moeda exclusiva denominada euro (€) a fim de facilitar trocas comerciais e impulsionar o desenvolvimento econômico da União."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Com dados bem distribuídos, colocamos como avançados paises acima da mediana: 34.959239130434796\n",
+      "As probabilidades de serem avançados, dado que pertencem ao Mercosul e União Europeia é: 0.5714285714285714 0.5185185185185185\n",
+      "As probabilidades de serem do Mercosul e União Europeia, dado que são avançados é: 0.8120300751879699 0.3820662768031189\n",
+      "As probabilidades de serem do Mercosul e da União Europeia, dado que são atrasados é de: 0.525974025974026 0.5909090909090909\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\code\\AppData\\Local\\Temp\\ipykernel_22012\\3017154606.py:6: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  df['Country Name'][i] = df['Country Name'][i].upper()\n"
+     ]
+    }
+   ],
+   "source": [
+    "ue_paises = ['AUSTRIA', 'BELGIUM', 'BULGARIA', 'CROATIA', 'REPUBLIC OF CYPRUS', 'CZECH REPUBLIC', 'DENMARK', 'ESTONIA', 'FINLAND', 'FRANCE', 'GERMANY', 'GREECE', 'HUNGARY', 'IRELAND', 'ITALY', 'LATVIA', 'LITHUANIA', 'LUXEMBOURG', 'MALTA', 'NETHERLANDS', 'POLAND', 'PORTUGAL', 'ROMANIA', 'SLOVAKIA', 'SLOVENIA', 'SPAIN', 'SWEDEN']\n",
+    "mercosul_paises = ['ARGENTINA', 'BRAZIL', 'PARAGUAY', 'URUGUAY', 'VENEZUELA', 'BOLIVIA', 'CHILE', 'COLOMBIA', 'ECUADOR', 'GUYANA', 'PERU', 'SURINAME', 'MEXICO', 'NEW ZEALAND']\n",
+    "avancado_ou_nao = {}\n",
+    "\n",
+    "for i in range(len(df['Country Name'])):       #Colocando os dados com letras maiusculas.\n",
+    "    df['Country Name'][i] = df['Country Name'][i].upper()\n",
+    "\n",
+    "filtro = df['Country Name'].isin(ue_paises + mercosul_paises)\n",
+    "\n",
+    "df = df[filtro]\n",
+    "df.head()\n",
+    "\n",
+    "\n",
+    "mediana = df['2021'].median()      #Considerarei avançado paises que possuam valores maiores que a mediana\n",
+    "print('Com dados bem distribuídos, colocamos como avançados paises acima da mediana:',mediana)\n",
+    "\n",
+    "\n",
+    "\n",
+    "filtro_avancados = df['2021'] >= mediana      #filtrando avançados e atrasados do dataframe, para 2021\n",
+    "filtro_atrasados = df['2021'] < mediana\n",
+    "df_avancados = df[filtro_avancados]\n",
+    "df_atrasados = df[filtro_atrasados]\n",
+    "\n",
+    "\n",
+    "#CALCULANDO A PROP DE O PAIS POR BLOCO SER AVANÇADO:\n",
+    "avancados_mercosul = 0\n",
+    "avancados_ue = 0\n",
+    "\n",
+    "for nome_pais in list(df_avancados['Country Name']):\n",
+    "    if nome_pais in mercosul_paises:\n",
+    "        avancados_mercosul +=1\n",
+    "\n",
+    "for nome_pais in list(df_atrasados['Country Name']):\n",
+    "    if nome_pais in ue_paises:\n",
+    "        avancados_ue +=1\n",
+    "\n",
+    "prob_avancado_mercosul = avancados_mercosul/len(mercosul_paises)\n",
+    "prob_avancado_ue = avancados_ue/len(ue_paises)\n",
+    "\n",
+    "print('As probabilidades de serem avançados, dado que pertencem ao Mercosul e União Europeia é:',prob_avancado_mercosul, prob_avancado_ue)\n",
+    "#Outras probabilidades:\n",
+    "prob_pertence_mercosul = len(ue_paises)/(len(ue_paises)+len(mercosul_paises))\n",
+    "prob_pertence_ue = len(mercosul_paises)/(len(ue_paises)+len(mercosul_paises))\n",
+    "\n",
+    "prob_avancado = len(df_avancados)/(len(ue_paises)+len(mercosul_paises))\n",
+    "\n",
+    "\n",
+    "#usando bayes\n",
+    "prob_mercosul_se_avancado = prob_avancado_mercosul*prob_pertence_mercosul/prob_avancado\n",
+    "prob_ue_se_avancado = prob_avancado_ue * prob_pertence_ue / prob_avancado\n",
+    "\n",
+    "prob_mercosul_se_atrasado = (1-prob_avancado_mercosul)*prob_pertence_mercosul / (1-prob_avancado)\n",
+    "prob_ue_se_atrasado = (1-prob_avancado_ue)*prob_pertence_mercosul / (1-prob_avancado)\n",
+    "\n",
+    "\n",
+    "\n",
+    "print('As probabilidades de serem do Mercosul e União Europeia, dado que são avançados é:',prob_mercosul_se_avancado, prob_ue_se_avancado)\n",
+    "\n",
+    "print('As probabilidades de serem do Mercosul e da União Europeia, dado que são atrasados é de:',prob_mercosul_se_atrasado,prob_ue_se_atrasado)\n",
+    "\n",
+    "\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "A acurácia do sistema desenvolvido foi de: 53.66%\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 504x216 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#CONSIDERANDO QUE DADO QUE É AVANÇADO, A PROBABILIDADE DE SER DA MERCOSUL É 0.812 E DE SER DA UNIÃO EUROPEIA É 0.382,\n",
+    "#portanto considerei AVANÇADOS os países pertencentes ao mercosul, já que tem maiores probabilidades de ser.\n",
+    "#Como a probabilidade de ser da união europeia dado que é atrasado é maior que a probabilidade de ser do Mercosul\n",
+    "# dado que é atrasado, considerei atrasado os paises da União Europeia\n",
+    "\n",
+    "\n",
+    "#Considerando os avançados pertencentes a MERCOSUL e atrasado da UNIAO EUROPEIA\n",
+    "\n",
+    "acertou_mercosul = 0\n",
+    "acertou_ue = 0\n",
+    "\n",
+    "for pais in df_avancados['Country Name']:\n",
+    "    if pais in mercosul_paises:\n",
+    "        acertou_mercosul += 1\n",
+    "for pais in df_atrasados['Country Name']:\n",
+    "    if pais in ue_paises:\n",
+    "        acertou_ue += 1\n",
+    "\n",
+    "acuracia = (acertou_mercosul + acertou_ue)/(len(ue_paises) + len(mercosul_paises))\n",
+    "print(f'A acurácia do sistema desenvolvido foi de: {acuracia*100:.2f}%')\n",
+    "\n",
+    "\n",
+    "dframe_final = pd.DataFrame()\n",
+    "dframe_final['Mercosul'] = [avancados_mercosul, len(mercosul_paises)-avancados_mercosul]\n",
+    "dframe_final['UE'] = [avancados_ue, len(ue_paises)-avancados_ue]\n",
+    "dframe_final.head()\n",
+    "\n",
+    "\n",
+    "dframe_final.plot.bar(stacked=True, figsize=(7,3))\n",
+    "plt.ylabel('Quantidade de países'.upper())\n",
+    "plt.xticks([0,1], ['AVANÇADOS', 'ATRASADOS'])\n",
+    "plt.xlabel('Avançados/Atrasados'.upper())\n",
+    "plt.title('Distribuição dos países avançados/atrasados nos blocos econômicos'.upper())\n",
+    "plt.show()\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Logo, como a acurácia foi baixa, podemos concluir que o indicador não é um bom preditor para o bloco escolhido."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3.10.2 64-bit",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.2"
+  },
+  "orig_nbformat": 4,
+  "vscode": {
+   "interpreter": {
+    "hash": "d318107c6815cca30760a96ba7d25a1f82fbfac7cae098cf40593e797620cbaa"
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/data/API_SE.ADT.LITR.FE.ZS_DS2_en_csv_v2_4353515.csv b/data/API_SE.ADT.LITR.FE.ZS_DS2_en_csv_v2_4353515.csv
new file mode 100644
index 0000000..5d119ea
--- /dev/null
+++ b/data/API_SE.ADT.LITR.FE.ZS_DS2_en_csv_v2_4353515.csv
@@ -0,0 +1,271 @@
+"Data Source","World Development Indicators",
+
+"Last Updated Date","2022-07-20",
+
+"Country Name","Country Code","Indicator Name","Indicator Code","1960","1961","1962","1963","1964","1965","1966","1967","1968","1969","1970","1971","1972","1973","1974","1975","1976","1977","1978","1979","1980","1981","1982","1983","1984","1985","1986","1987","1988","1989","1990","1991","1992","1993","1994","1995","1996","1997","1998","1999","2000","2001","2002","2003","2004","2005","2006","2007","2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021",
+"Aruba","ABW","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","97.0713577270508","","","","","","","","","","96.7197799682617","","","","","","","","97.8126831054688","","","",
+"Africa Eastern and Southern","AFE","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","",
+"Afghanistan","AFG","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","4.98746013641357","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","17.0178394317627","","","","","","","","","","22.6007804870605",
+"Africa Western and Central","AFW","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","",
+"Angola","AGO","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","54.1944885253906","","","","","","","","","","","","","53.4072113037109","","","","","","","",
+"Albania","ALB","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","98.2522735595703","","","","","","","94.6818084716797","","","95.6914825439453","96.1360702514648","","","","","","97.7611236572266","","","",
+"Andorra","AND","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","",
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diff --git a/data/API_SG.GEN.PARL.ZS_DS2_en_csv_v2_4413582.zip b/data/API_SG.GEN.PARL.ZS_DS2_en_csv_v2_4413582.zip
deleted file mode 100644
index b0db394..0000000
Binary files a/data/API_SG.GEN.PARL.ZS_DS2_en_csv_v2_4413582.zip and /dev/null differ
diff --git a/data/API_SL.SRV.EMPL.FE.ZS_DS2_en_csv_v2_4354717.csv b/data/API_SL.SRV.EMPL.FE.ZS_DS2_en_csv_v2_4354717.csv
new file mode 100644
index 0000000..7f48bd2
--- /dev/null
+++ b/data/API_SL.SRV.EMPL.FE.ZS_DS2_en_csv_v2_4354717.csv
@@ -0,0 +1,271 @@
+"Data Source","World Development Indicators",
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