From 1c26ddfcd7341b6af4df4bd8f542d7ff0c77c8ac Mon Sep 17 00:00:00 2001 From: alanmath <59699344+alanmath@users.noreply.github.com> Date: Wed, 31 Aug 2022 15:45:31 -0300 Subject: [PATCH 01/11] Create README.md --- README.md | 3 +++ 1 file changed, 3 insertions(+) create mode 100644 README.md 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. From a60e188b7e566f32615200df64435650e81fe763 Mon Sep 17 00:00:00 2001 From: alanmath <59699344+alanmath@users.noreply.github.com> Date: Tue, 13 Sep 2022 16:20:10 -0300 Subject: [PATCH 02/11] =?UTF-8?q?atualiza=C3=A7=C3=A3o=20APS2?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- aps_1.ipynb | 107 ++++++- ...E.ADT.LITR.FE.ZS_DS2_en_csv_v2_4353515.csv | 271 ++++++++++++++++++ ...I_SG.GEN.PARL.ZS_DS2_en_csv_v2_4413582.zip | Bin 36019 -> 0 bytes ...L.SRV.EMPL.FE.ZS_DS2_en_csv_v2_4354717.csv | 271 ++++++++++++++++++ 4 files changed, 638 insertions(+), 11 deletions(-) create mode 100644 data/API_SE.ADT.LITR.FE.ZS_DS2_en_csv_v2_4353515.csv delete mode 100644 data/API_SG.GEN.PARL.ZS_DS2_en_csv_v2_4413582.zip create mode 100644 data/API_SL.SRV.EMPL.FE.ZS_DS2_en_csv_v2_4354717.csv diff --git a/aps_1.ipynb b/aps_1.ipynb index 3e159c0..d86c1df 100644 --- a/aps_1.ipynb +++ b/aps_1.ipynb @@ -15,12 +15,12 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 3, "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -38,19 +38,17 @@ "\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", + "filtro_islandia = df['Country Name'] == 'Iceland'\n", "\n", "df_brasil = df[filtro_br]\n", "df_haiti = df[filtro_haiti]\n", - "df_noruga = df[filtro_noruga]\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", @@ -61,7 +59,7 @@ "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.legend(['Haiti', '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", @@ -69,12 +67,99 @@ "\n" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Em 2018, o Banco Mundial divulgou o relatório Perda de Oportunidades: o elevado custo de não educar as meninas. \n", + "Tal relatório, \n", + "Finalmente, uma educação melhor para as meninas aumenta suas possibilidades de participar integralmente da sociedade e ser membros ativos das suas comunidades.\n", + "O objetivo dessa comparação é observar se uma presença maior de mulheres no parlamento poderia trazer como consequência uma maior participação das mulheres no mercado de trabalho e, com isso, uma igualdade de gênero mais evidente.\n", + "\n", + "\n", + "A idéia é traçar correlações entre os gráficos de participação feminina no parlamento e o de inclusão educativa das mulheres." + ] + }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "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": 31, + "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" + ] } ], "metadata": { @@ -98,7 +183,7 @@ "orig_nbformat": 4, "vscode": { "interpreter": { - "hash": "d318107c6815cca30760a96ba7d25a1f82fbfac7cae098cf40593e797620cbaa" + "hash": "f4fc7ca4c719ee9eb8edac784909fabba88213340fb42bb5c2706b56c0804c2a" } } }, 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","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Arab World","ARB","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","30.322229385376","30.7892608642578","31.3337707519531","31.9425201416016","32.5952606201172","33.4036407470703","33.8563499450684","34.8444404602051","35.721118927002","36.6800384521484","37.5304908752441","38.5924606323242","39.6296997070313","40.7336807250977","41.9389495849609","43.1267204284668","43.4193115234375","44.5691299438477","45.6816291809082","47.5137481689453","48.4502182006836","49.8738403320313","51.2118492126465","52.7353591918945","53.820671081543","55.2485885620117","57.606029510498","58.9168395996094","58.8121681213379","58.6921691894531","59.1082191467285","60.4463195800781","58.9698181152344","60.2376518249512","62.4384498596191","66.0942764282227","65.2387313842773","67.7367477416992","65.5670394897461","67.3514862060547","68.6543579101563","65.5303192138672","65.8576126098633","66.1968994140625","", +"United Arab Emirates","ARE","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","38.124870300293","","","","","","","","","","68.6612777709961","","","","","","","","","","","","","","","","","","","","91.4747467041016","","","","","","","","","","","","","","94.4740982055664","","", +"Argentina","ARG","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","93.5808868408203","","","","","","","","","","","95.9169998168945","","","","","","","","","","97.1934127807617","","","","","98.5107727050781","","","99.0017623901367","98.9280700683594","98.9998397827148","99.0999526977539","99.0912094116211","98.9328231811523","99.2087707519531","99.1430969238281","","99.0620422363281","","","", +"Armenia","ARM","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","98.1501388549805","","","","","","","","","","","","99.1610717773438","","","","","","","","","","99.6903533935547","","","","","","99.6771621704102","","","99.7445068359375","", +"American Samoa","ASM","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","97.2199096679688","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Antigua and Barbuda","ATG","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","99.4199981689453","","","","","","","","","","99.4199981689453","","","","99.4199981689453","","","","","","", +"Australia","AUS","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Austria","AUT","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Azerbaijan","AZE","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","98.1747817993164","","","","","","","","99.3839416503906","","99.6821517944336","99.692626953125","99.704963684082","99.7028579711914","99.7168197631836","99.7196578979492","99.7171401977539","99.7195510864258","99.7219924926758","","99.7267532348633","","", +"Burundi","BDI","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","11.983570098877","","","","","","","","","","","27.5293006896973","","","","","","","","","","52.2377586364746","","","","","","","","43.1571884155273","","","","","","54.641658782959","","","61.223690032959","","","","", +"Belgium","BEL","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Benin","BEN","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","9.53896045684814","","","","","","","","","","","","","16.5651206970215","","","","","","","","","","23.3001403808594","","","","18.4429092407227","","","","","","22.093879699707","","","","","","31.0716495513916","","","", +"Burkina Faso","BFA","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","3.39058995246887","","","","","","","","","","","","","","","","8.22542953491211","","","","","8.05797958374023","","","","","","","15.1887702941895","","16.6222400665283","16.291130065918","21.0272197723389","","","","","","","26.2202491760254","","","","31.0440807342529","","","", +"Bangladesh","BGD","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","17.9716300964355","","","","","","","","","","25.8389797210693","","","","","","","","","","40.8233489990234","","","","","","43.7408485412598","","","","55.1194381713867","54.2360382080078","57.7890014648438","57.8609313964844","62.2529907226563","69.8972091674805","70.0857009887695","71.1819381713867","71.9483871459961","72.0047836303711","", +"Bulgaria","BGR","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","97.7064895629883","","","","","","","","","","97.9839019775391","","","","","","","","","","", +"Bahrain","BHR","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","58.5910911560059","","","","","","","","","","76.9323196411133","","","","","","","","","","83.5574188232422","","","","","","","","","89.0104370117188","","","","","","","","","","","", +"Bahamas, The","BHS","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Bosnia and Herzegovina","BIH","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","81.9593276977539","","","","","","","","","94.3599395751953","","","","","","","","","","","96.8037109375","","94.9104919433594","","","","","","","","", +"Belarus","BLR","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","96.6282196044922","","","","","","","","","","99.4197235107422","","","","","","","","","","99.4939880371094","","","","","","","","","","99.8765106201172","","", +"Belize","BLZ","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","70.3283920288086","","","","","","","","","77.1227264404297","","","","","","","","","","","","","","","","","","","","","", +"Bermuda","BMU","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Bolivia","BOL","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","51.3746490478516","","","","","","","","","","","","","","","","72.3132171630859","","","","","","","","","80.6543807983398","","","","","","85.9859390258789","86.8317489624023","86.8214569091797","","88.0802001953125","91.8732681274414","","","88.5828628540039","","","","","90.5025863647461","", +"Brazil","BRA","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","72.8531494140625","","","","","","","","","","","","","","","","","","","","86.5000534057617","","","","88.8061294555664","","89.8555908203125","90.2280120849609","90.2195510864258","90.4112167358398","90.6817016601563","91.6331481933594","91.6249008178711","91.7649612426758","92.0605163574219","92.3437881469727","93.0212020874023","93.2437133789063","93.4250717163086","","","", +"Barbados","BRB","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","99.2515563964844","","","","","","","","","","","","","","99.5999984741211","","","","","","","","","","99.5999984741211","","","","","","","","","","99.5999984741211","","","","","","","","","","99.5999984741211","","","","","","","", +"Brunei Darussalam","BRN","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","68.8418273925781","","","","","","","","","","82.4613571166992","","","","","","","","","","90.1615524291992","","","","","","","","","","94.6524810791016","","","","","","","96.3012619018555","","","", +"Bhutan","BTN","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","38.6806602478027","","","","","","","45.2045097351074","","","","","57.0836181640625","","","","", +"Botswana","BWA","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","71.2992401123047","","","","","","","","","","","","81.8079528808594","","","","","","","","","","87.4512100219727","","","","","","","","", +"Central African Republic","CAF","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","8.39958000183105","","","","","","","","","","","","","20.3368797302246","","","","","","","","","","","","35.290901184082","","","","","","","","","","24.355489730835","","","","","","","","25.7563800811768","","","", +"Canada","CAN","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Central Europe and the Baltics","CEB","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","97.0485610961914","97.0780868530273","97.105827331543","97.1514129638672","97.1909027099609","97.2253189086914","97.2750091552734","97.1511917114258","97.2371368408203","97.3279037475586","97.4070129394531","97.4842071533203","97.5499877929688","97.623046875","97.6956634521484","97.7602767944336","97.8264770507813","97.9617385864258","97.8997421264648","97.9484024047852","97.9953079223633","98.0492630004883","98.0808181762695","98.122673034668","98.1644287109375","98.184440612793","98.2189102172852","98.2749710083008","98.5478668212891","98.5772323608398","98.6045684814453","98.6247100830078","98.6415405273438","98.6618728637695","98.6808471679688","98.7023162841797","","","","","", +"Switzerland","CHE","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Channel Islands","CHI","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Chile","CHL","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","90.8001174926758","","","","","","","","","","94.0367126464844","","","","","","","","","","95.6409301757813","","","","","","97.742057800293","97.4008331298828","","96.5307083129883","","96.161750793457","","96.7439575195313","","96.3340225219727","","","","", +"China","CHN","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","51.1368103027344","","","","","","","","68.0720825195313","","","","","","","","","","86.5266036987305","","","","","","","","","","92.7112274169922","","","","","","","","95.1593322753906","","","", +"Cote d'Ivoire","CIV","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","23.433780670166","","","","","","","","","","28.4766693115234","","38.6145095825195","","","","","","","","","","","","30.4617195129395","","36.7842483520508","","","","","86.7412490844727","","", +"Cameroon","CMR","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","29.1161308288574","","","","","","","","","","","","","","","","","","","","","","","","58.7217597961426","","","","","","","63.0220603942871","","","64.7994995117188","","","","","","","","71.5862731933594","","","", +"Congo, Dem. Rep.","COD","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","54.0609016418457","","","","","","46.1042518615723","","","","","62.9186401367188","","","","66.4999771118164","","","","","", +"Congo, Rep.","COG","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","49.0013389587402","","","","","","","","","","","","","","","","","","","","","67.4807662963867","","","","","","72.8770599365234","","","","","","","74.6187591552734","","","", +"Colombia","COL","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","91.1479034423828","","","91.3140029907227","","","","","","","","92.7146301269531","92.911247253418","92.2205963134766","92.8456192016602","93.4353713989258","93.4151306152344","93.4867935180664","93.6671295166016","","","94.4846572875977","94.4158172607422","94.8902206420898","","95.3189163208008","95.4690322875977","95.8750610351563","", +"Comoros","COM","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","40.3176193237305","","","","","","","","","","","","","","","","","","","","63.4590187072754","","","","","","","","","","","","42.6372909545898","","","","","","52.9563903808594","","","", +"Cabo Verde","CPV","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","52.9986190795898","","","","","","","","","","69.4445571899414","","","","","","","","","","","","80.496223449707","","","82.0422210693359","","","","","","", +"Costa Rica","CRI","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","92.5771331787109","","","","","","","","","","","","","","","","95.0807876586914","","","","","","","","","","","97.5004119873047","","","","","","","97.924430847168","","","", +"Caribbean small states","CSS","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","88.4725036621094","88.52490234375","88.7929000854492","89.0358200073242","89.2784271240234","89.6345062255859","89.4299774169922","90.1399765014648","90.4184036254883","90.685188293457","90.9423904418945","91.1978225708008","91.4608535766602","91.6320877075195","92.3097915649414","92.5576705932617","92.7684631347656","92.9917678833008","93.1499099731445","93.0394897460938","92.8167495727539","92.9547271728516","93.0601425170898","","","","","","", +"Cuba","CUB","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","99.7909164428711","","","","","","","","","","99.7998809814453","","","","","","","","","", +"Curacao","CUW","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Cayman Islands","CYM","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","99.0214767456055","","","","","","","","","","","","","","", +"Cyprus","CYP","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","91.0017776489258","","","","","","","","","95.0796585083008","","","","","","","","","","98.1162261962891","","","","","","","","","","", +"Czech Republic","CZE","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Germany","DEU","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Djibouti","DJI","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Dominica","DMA","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Denmark","DNK","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Dominican Republic","DOM","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","72.5360794067383","","","","","","","","","","","","","","","","","","","","","87.1770935058594","","","","","88.2771682739258","","","89.6973037719727","90.2255706787109","90.2241668701172","91.2505111694336","92.1477890014648","92.3210601806641","93.7641296386719","","","","","", +"Algeria","DZA","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","35.8399200439453","","","","","","","","","","","","","","","60.075080871582","","","","63.9187889099121","","67.5487518310547","","","","","","","","","","75.3229675292969","","","", +"East Asia & Pacific (excluding high income)","EAP","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","50.1698303222656","50.3997497558594","51.8325309753418","53.2892417907715","54.1150016784668","56.2509117126465","57.4030914306641","59.128849029541","60.5319519042969","61.8730812072754","63.0121688842773","64.5185470581055","70.3858108520508","71.3818435668945","71.4983062744141","73.0791702270508","73.8719711303711","74.6403427124023","75.4585418701172","76.270378112793","76.9871063232422","85.0783081054688","85.6080322265625","86.0804672241211","86.4648666381836","87.129768371582","87.6726303100586","88.2343902587891","88.6957397460938","89.1932678222656","89.7797088623047","91.3338317871094","91.6874923706055","92.1865692138672","92.3500137329102","92.2259979248047","92.5280532836914","92.6649932861328","93.2682418823242","93.510871887207","93.7154769897461","93.9788589477539","94.2144165039063","94.4261627197266","94.6399612426758","", +"Early-demographic dividend","EAR","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","37.2260818481445","37.5692710876465","38.2795104980469","39.0275688171387","39.7289886474609","39.8522300720215","40.9498405456543","42.0030212402344","42.799388885498","43.8314018249512","44.631649017334","45.4382209777832","46.4199905395508","46.8031616210938","47.6139183044434","48.6790084838867","49.3519401550293","50.3650398254395","51.1533584594727","52.1287994384766","53.1190910339355","54.0381813049316","54.8503303527832","57.737060546875","58.5456199645996","59.4108085632324","60.0645599365234","60.7430610656738","61.788688659668","62.7401504516602","62.2886199951172","63.2813415527344","63.9684906005859","65.1654663085938","66.3205108642578","68.2902069091797","68.5623931884766","69.1880035400391","69.8251876831055","70.9527587890625","71.782470703125","72.5750274658203","73.2000198364258","73.6074829101563","74.2281799316406","74.8248062133789","", +"East Asia & Pacific","EAS","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","53.4058494567871","53.6580009460449","54.9492607116699","56.2568817138672","56.9752082824707","58.9590110778809","59.9336090087891","61.4664993286133","62.7209281921387","63.9250411987305","64.9374313354492","66.3476409912109","71.5793304443359","72.501091003418","72.6221084594727","74.0649337768555","74.8012008666992","75.5135803222656","76.2912521362305","77.062858581543","77.7339935302734","84.9591903686523","85.4697875976563","85.9567794799805","86.3255233764648","86.9661636352539","87.505126953125","88.077522277832","88.533447265625","89.0421676635742","89.6211318969727","91.0463027954102","91.4377212524414","91.9316787719727","92.0230331420898","91.8475799560547","92.1662979125977","92.3075714111328","92.9963912963867","93.2496032714844","93.4608917236328","93.7299270629883","93.9688186645508","94.1793975830078","94.3904495239258","", +"Europe & Central Asia (excluding high income)","ECA","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","91.2723236083984","92.2060775756836","92.4312133789063","92.5744934082031","92.7712936401367","92.9862976074219","93.0755996704102","93.2741165161133","93.4065704345703","93.5834884643555","93.7645111083984","93.9429779052734","94.1255798339844","94.4077682495117","94.583381652832","95.1268081665039","95.2672500610352","95.2720718383789","95.3801803588867","95.5067291259766","95.6181030273438","95.8466491699219","96.1099395751953","96.0571517944336","96.210693359375","96.2592010498047","97.0945434570313","97.5451812744141","97.9285202026367","98.1341018676758","98.2102737426758","98.2553634643555","98.2977600097656","98.4836120605469","98.4412307739258","98.5125732421875","98.566291809082","98.6183776855469","", +"Europe & Central Asia","ECS","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","94.1057586669922","94.3031768798828","94.5379867553711","94.717887878418","94.9733428955078","95.1398468017578","95.1772994995117","95.3117828369141","95.5095825195313","95.6396102905273","95.8075485229492","95.8200531005859","95.9930877685547","96.0484466552734","96.2576904296875","96.5780181884766","96.8193588256836","97.2597427368164","97.4097366333008","97.5055236816406","97.5713729858398","97.6362075805664","97.7679901123047","97.7851333618164","97.881706237793","97.9422836303711","98.0103988647461","", +"Ecuador","ECU","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","80.4052276611328","","","","","","","","86.1933288574219","","","","","","","","","","","89.6970901489258","","","","","","90.8655700683594","91.1225662231445","90.9175491333008","90.4701080322266","90.220817565918","90.9516830444336","92.2180786132813","93.2538604736328","93.2566223144531","93.3145294189453","92.0866928100586","","","92.4902420043945","", +"Egypt, Arab Rep.","EGY","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","22.438009262085","","","","","","","","","","31.3926696777344","","","","","","","","","","43.5953102111816","","","","","","","","","56.1215515136719","57.8119087219238","","","","63.5158081054688","","65.7566604614258","62.7052192687988","","","","65.5056915283203","","","","", +"Euro area","EMU","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Eritrea","ERI","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","40.2244186401367","","","","","","54.8010711669922","","","","","","","","","","68.9461898803711","","","", +"Spain","ESP","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","89.9369201660156","","","","","","","","","","95.0510025024414","","","","","","","","","","","","","96.2308807373047","96.9251480102539","96.9748306274414","97.2603225708008","96.8868408203125","96.9259719848633","97.0045013427734","97.0655670166016","97.2180404663086","97.4405364990234","97.4873504638672","97.5471267700195","97.6953582763672","","97.9737777709961","","98.1870422363281","", +"Estonia","EST","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","99.6014785766602","","","","","","","","","","","99.7600631713867","","","","","","","","","","","99.9094772338867","","","","","","","","","","", +"Ethiopia","ETH","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","18.5149803161621","","","","","","","","","","22.7999992370605","17.9771995544434","","28.9216403961182","","","","","","","","","","44.4233818054199","","","","", +"European Union","EUU","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Fragile and conflict affected situations","FCS","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","41.7451210021973","42.2847785949707","42.7731094360352","43.2285385131836","44.024600982666","44.8214683532715","45.3646087646484","46.0561103820801","47.3001899719238","47.4392204284668","47.9847297668457","49.0781898498535","50.1083488464355","50.9175987243652","51.9260902404785","52.8832702636719","53.7784996032715","51.2438697814941","52.1041717529297","52.5930786132813","53.093090057373","53.8910102844238","54.3054504394531","56.9934997558594","51.8481788635254","52.193489074707","51.4594192504883","52.0187492370605","51.8298797607422","53.7737007141113","54.1875305175781","55.371280670166","54.2995910644531","56.629150390625","57.4636116027832","56.1150093078613","56.434009552002","56.7585792541504","", +"Finland","FIN","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Fiji","FJI","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"France","FRA","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Faroe Islands","FRO","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Micronesia, Fed. Sts.","FSM","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Gabon","GAB","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","65.3263092041016","","","","","","","","","","","","","","","","","","","79.8789672851563","","","","","","83.4239730834961","","","", +"United Kingdom","GBR","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Georgia","GEO","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","99.552848815918","","","","","","","","","","","","99.5145797729492","","","99.2947463989258","","99.4517974853516","","", +"Ghana","GHA","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","49.7919616699219","","","","","","","","","","65.2946929931641","","","","","","","","74.4743881225586","","","", +"Gibraltar","GIB","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Guinea","GIN","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","9.74306964874268","","","","","","","18.2386798858643","","","","","","","12.1919498443604","","","","21.9622497558594","","","","27.6925601959229","","","", +"Gambia, The","GMB","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","25.0615501403809","","","","","","","","","","","","","33.5753517150879","","41.577018737793","","","","","","", +"Guinea-Bissau","GNB","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","8.58825969696045","","","","","","","","","","","","","","","","","","","","","27.4942092895508","","","","","","","","","","","","","","30.7685108184814","","","","","","","", +"Equatorial Guinea","GNQ","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","81.6230010986328","","","","","","","","","","90.6760787963867","","","","","","","","","","","", +"Greece","GRC","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","85.3199920654297","","","","","","","","","","89.3533020019531","","","","","","","","","","94.2394104003906","","","","90.7654113769531","","91.8124694824219","","91.8476104736328","","96.5021133422852","","","","","","","97.3940963745117","","","", +"Grenada","GRD","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","97.5897827148438","","","","","","","","","","","","","","98.5999984741211","","","","","","","","","","98.5999984741211","","","","","","","","","","98.5999984741211","","","","","","","","","","98.5999984741211","","","","","","","", +"Greenland","GRL","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Guatemala","GTM","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","57.2926597595215","","","","","","","","63.341381072998","","","","","","","","","","72.4280395507813","72.1275863647461","76.3706588745117","","","","76.7233810424805","","","", +"Guam","GUM","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","96.4630813598633","","","","","","","","","","99.3085021972656","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Guyana","GUY","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","87.2519836425781","","","","","85.0346069335938","","","","","","","", +"High income","HIC","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Hong Kong SAR, China","HKG","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Honduras","HND","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","80.2236022949219","","","","","","83.452766418457","","","84.7250289916992","84.9302673339844","85.0514831542969","85.2847290039063","87.025993347168","87.8936996459961","88.9348602294922","","87.2655563354492","88.7316970825195","","", +"Heavily indebted poor countries (HIPC)","HPC","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","32.0193214416504","32.7328300476074","33.3222312927246","33.8465385437012","34.5139198303223","34.8447189331055","35.1808013916016","35.6385498046875","36.3689498901367","36.5639801025391","37.250129699707","38.2410888671875","38.9146881103516","39.7093811035156","40.8159484863281","41.6667404174805","41.4333992004395","42.3200302124023","43.6242904663086","43.1811485290527","41.6185302734375","43.4425506591797","43.6836700439453","43.8421592712402","45.0719604492188","47.4903984069824","48.9824600219727","50.0585403442383","51.103199005127","51.8134002685547","52.9376106262207","54.125129699707","54.815860748291","55.6119499206543","56.3482208251953","", +"Croatia","HRV","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","94.8172225952148","","","","","","","","","","97.0839004516602","","","","","","","","","","98.6659088134766","","","","","","","","","","", +"Haiti","HTI","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","32.524959564209","","","","","","","","","","","","","","","","","","","","","54.8614692687988","","","44.5994491577148","","","","","","","","","","58.3005218505859","","","","","", +"Hungary","HUN","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","98.4541320800781","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","99.0999984741211","","","","","","","", +"IBRD only","IBD","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","52.5816688537598","52.7137603759766","52.9982604980469","53.8577117919922","54.684440612793","55.2575607299805","56.3007698059082","57.1677513122559","58.1931991577148","59.1944007873535","60.0733489990234","60.8798217773438","61.8315696716309","64.6503677368164","65.4074172973633","65.8394470214844","66.8056564331055","67.5412673950195","68.1861419677734","68.8376235961914","69.5256423950195","70.2069473266602","74.3252410888672","75.8575592041016","76.3595962524414","76.8277282714844","77.3383178710938","77.8853607177734","78.6672821044922","79.1900177001953","79.0896835327148","79.6007690429688","80.6674423217773","81.1427688598633","81.7344131469727","82.7835388183594","83.3218002319336","83.8503723144531","84.0589370727539","84.7109603881836","84.8992614746094","85.3682098388672","85.7080001831055","85.8155288696289","86.2019882202148","86.549430847168","", +"IDA & IBRD total","IBT","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","49.2299613952637","49.3583984375","49.638599395752","50.4047012329102","51.1488189697266","51.6814384460449","52.608959197998","53.4053916931152","54.3246116638184","55.2336006164551","56.037670135498","56.7781410217285","57.6673316955566","60.1336288452148","60.8375587463379","61.2876510620117","62.188850402832","62.8369483947754","63.4449806213379","64.1137924194336","64.7739410400391","65.4544219970703","68.9815979003906","70.4405212402344","70.9667205810547","71.215202331543","71.7610168457031","72.2552795410156","72.9664001464844","73.554801940918","73.4225006103516","74.1853408813477","74.5623016357422","75.1599731445313","75.6832504272461","76.6105422973633","77.0747299194336","77.6094436645508","77.8949127197266","78.5571823120117","78.84765625","79.4958419799805","79.8972015380859","79.9915618896484","80.3600006103516","80.6919937133789","", +"IDA total","IDA","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","33.9526710510254","34.387321472168","34.7765502929688","35.2442016601563","35.7182312011719","36.1798706054688","36.8308792114258","37.6038284301758","38.183910369873","38.8939590454102","39.6643905639648","40.0732498168945","40.7015495300293","41.6747589111328","42.446361541748","43.2816009521484","44.2284202575684","45.615909576416","46.5161514282227","46.0016098022461","46.9387817382813","47.3978004455566","47.9883193969727","49.077709197998","49.0592308044434","51.149528503418","48.8780899047852","50.3125190734863","50.8804817199707","51.632568359375","52.1193389892578","53.0035400390625","53.9174118041992","54.9468803405762","55.9606018066406","57.6029815673828","58.551700592041","58.9209289550781","59.5497093200684","60.1547584533691","", +"IDA blend","IDB","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","37.2487106323242","37.7656517028809","38.0790596008301","38.4201889038086","38.771541595459","39.1505317687988","39.9297485351563","40.7372207641602","41.3702392578125","42.2248802185059","43.8900985717773","44.1391792297363","44.9919395446777","45.9065284729004","46.8123397827148","47.8829498291016","48.9220085144043","50.1095314025879","50.9661407470703","47.3917808532715","48.3247299194336","49.1890182495117","49.240550994873","50.2891006469727","50.0425186157227","57.9142189025879","49.9066200256348","50.8283004760742","51.8925018310547","52.5549507141113","53.2988204956055","54.3088493347168","54.2790718078613","55.5827789306641","55.9308891296387","56.8320693969727","57.8570213317871","57.6436080932617","58.2046585083008","58.767261505127","", +"Indonesia","IDN","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","57.6946296691895","","","","","","","","","","75.2701187133789","","","","","","","","","","","","","","86.7995910644531","","88.786979675293","","89.1013870239258","89.677116394043","","90.0687026977539","","","93.4508972167969","93.3357086181641","93.5869216918945","","93.9921798706055","","94.5523529052734","", +"IDA only","IDX","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","31.8192291259766","32.2567405700684","32.7994613647461","33.3427391052246","33.8553199768066","34.4579086303711","35.2317810058594","35.8025207519531","36.4611701965332","36.8148193359375","37.3247489929199","37.8671493530273","38.8985900878906","39.6302185058594","40.3688812255859","41.3111114501953","42.822078704834","43.7610015869141","44.7673416137695","45.7165908813477","45.9822883605957","46.8446006774902","47.9692306518555","48.069709777832","47.3122215270996","47.8779907226563","49.5914688110352","49.9237899780273","50.7377510070801","51.109619140625","51.9458312988281","53.3456382751465","54.2539291381836","55.6150894165039","57.6470603942871","58.5727691650391","59.2401008605957","59.913200378418","60.5493316650391","", +"Isle of Man","IMN","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"India","IND","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","25.6762504577637","","","","","","","","","","33.7295303344727","","","","","","","","","","47.842098236084","","","","","50.8237609863281","","","","","59.2773208618164","","","","","","","65.7908096313477","","","", +"Not classified","INX","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Ireland","IRL","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Iran, Islamic Rep.","IRN","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","24.4230804443359","","","","","","","","","","41.0339508056641","","","","","56.156421661377","","","","","66.067756652832","","","","","","70.4000015258789","","","76.8026428222656","77.2400207519531","","77.6947174072266","","","","78.4162673950195","79.7558364868164","79.8393478393555","","80.7874374389648","","","","","", +"Iraq","IRQ","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","64.1695022583008","","","","","","","","","","","","69","63.4000015258789","74.5999984741211","","76.8000030517578","79.9000015258789","","","","", +"Iceland","ISL","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Israel","ISR","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","88.6747207641602","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Italy","ITA","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","95.5366668701172","","","","","","","","","","","","","","","","","","","","98.0421524047852","","","","","","","","","","98.5795669555664","","","","","","","98.9719161987305","99.2238922119141","","", +"Jamaica","JAM","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","85.8720779418945","","","","","","","","","","","","","","","92.6999969482422","","","","","","","", +"Jordan","JOR","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","52.1106109619141","","","","","","","","","","","","","","","","","","","","","","","","84.7139205932617","","87.0058135986328","","88.9033126831055","","","89.2077407836914","93.9334564208984","97.3720092773438","","","","","","97.8320770263672","","","", +"Japan","JPN","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Kazakhstan","KAZ","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","96.1387710571289","","","","","","","","","","99.2899017333984","","","","","","","","","","99.6842880249023","99.7389907836914","","","","","","","","99.7389907836914","","","", +"Kenya","KEN","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","77.8929824829102","","","","","","","66.8631210327148","","","","","","","74.0063171386719","","","","78.1889266967773","","","", +"Kyrgyz Republic","KGZ","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","98.1306304931641","","","","","","","","","","98.9812088012695","","","","","","","","","99.4997177124023","","","", +"Cambodia","KHM","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","56.9925003051758","","","","","","64.0509872436523","","","","69.5864105224609","69.109016418457","","","","","71.7817993164063","75.0338668823242","","","","","","", +"Kiribati","KIR","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"St. Kitts and Nevis","KNA","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Korea, Rep.","KOR","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","97.6186599731445","","","","","","","","","","","","","", +"Kuwait","KWT","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","48.015209197998","","","","","59.1105003356934","","","","","68.8493728637695","","","","","","","","","","74.1487197875977","","","","","","","","","","91.0425033569336","90.8286285400391","91.5034866333008","91.7786483764648","","92.6809387207031","","94.9652481079102","94.3011627197266","","94.4700469970703","","94.8257675170898","94.905158996582","","95.3516998291016","", +"Latin America & Caribbean (excluding high income)","LAC","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","75.0864486694336","75.091423034668","75.5511932373047","76.0782165527344","76.6451568603516","77.1674880981445","77.7697219848633","78.1853103637695","78.6862106323242","79.1955032348633","79.6944198608398","80.1802520751953","80.6570816040039","80.9506530761719","81.5725173950195","82.1115570068359","82.6230087280273","83.2080764770508","83.9065475463867","84.6038436889648","85.1872634887695","85.8312606811523","86.2298812866211","86.53662109375","87.1099395751953","87.4786224365234","87.8114166259766","87.8294982910156","88.0114974975586","88.8625335693359","88.866096496582","89.4106597900391","89.2763366699219","89.9534378051758","90.2367706298828","90.6318588256836","90.8012466430664","91.390022277832","91.718132019043","91.8149032592773","92.2999420166016","92.4599304199219","92.9301300048828","93.0955276489258","93.2900085449219","93.7549819946289","93.9320526123047","", +"Lao PDR","LAO","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","47.9023590087891","","","","","58.4607009887695","60.9025192260742","","","","63.2269897460938","","","","","","49.7230796813965","","","","79.3910369873047","","","","","","", +"Lebanon","LBN","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","85.9677810668945","","88.0870590209961","","","","","","","","","93.3050079345703","","","", +"Liberia","LBR","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","19.3027896881104","","","","","","","","","","","","","","","","","","","","","","","27.0349102020264","","","","","","","","","","34.0922584533691","","","","", +"Libya","LBY","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","42.313549041748","","","","","","","","","","63.7000007629395","","","","","","","","","","77.8000030517578","","","","","","","","","","","","","","","","","", +"St. Lucia","LCA","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Latin America & Caribbean","LCN","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","76.0768280029297","76.0755233764648","76.5044326782227","76.9975204467773","77.54052734375","78.0408935546875","78.6104278564453","79.0137405395508","79.4912261962891","79.9761199951172","80.4517517089844","80.915168762207","81.3715209960938","81.6444320678711","82.2347793579102","82.7774963378906","83.2648010253906","83.8199615478516","84.4830474853516","85.1451873779297","85.6999893188477","86.3116683959961","86.692512512207","86.9902801513672","87.5358428955078","87.8858871459961","88.2038421630859","88.2277374267578","88.4052734375","89.2084884643555","89.2181091308594","89.7384414672852","89.6212463378906","90.3398208618164","90.5862731933594","90.951286315918","91.0865020751953","91.6439666748047","91.9649810791016","92.0354766845703","92.5064086914063","92.6604080200195","93.1192092895508","93.2543792724609","93.4492416381836","93.8959426879883","94.0675430297852","", +"Least developed countries: UN classification","LDC","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","29.1861000061035","29.5780296325684","30.016019821167","30.5541801452637","31.090030670166","31.5905990600586","32.1896781921387","32.9469604492188","33.5457611083984","34.2153091430664","34.5522499084473","35.0585784912109","35.5994682312012","36.6724510192871","37.5554008483887","38.2760887145996","39.2158699035645","40.7578086853027","41.7237586975098","42.575569152832","43.5663986206055","43.6818885803223","44.6282615661621","45.7967109680176","45.8437995910645","44.935230255127","45.3095588684082","47.0944900512695","47.7685508728027","48.4452896118164","48.8046989440918","49.7479095458984","51.2719306945801","52.1367416381836","53.6377105712891","55.8485412597656","56.8578681945801","57.6159210205078","58.3247985839844","59.0061302185059","", +"Low income","LIC","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","35.7112197875977","36.1430587768555","36.6169815063477","36.8282814025879","36.9204902648926","37.1889381408691","37.7305793762207","37.9670600891113","38.4828987121582","39.3504104614258","40.0495491027832","40.7097702026367","41.5159187316895","42.3958396911621","41.9782104492188","42.6580085754395","43.9686508178711","43.5250015258789","41.6124305725098","43.245189666748","43.7138404846191","44.2160491943359","44.9123382568359","47.3054084777832","47.877311706543","48.9157981872559","49.4209403991699","50.2316093444824","51.3020210266113","52.3489608764648","52.9132690429688","53.5078392028809","54.0780792236328","", +"Liechtenstein","LIE","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Sri Lanka","LKA","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","82.02197265625","","","","","","","","","","","","","","","","","","","","89.1357574462891","","","","","89.0913467407227","","89.0734710693359","","89.9586791992188","","","","","","91.4861068725586","90.9707412719727","90.7956008911133","91.5808715820313","91.59765625","", +"Lower middle income","LMC","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","35.7182998657227","35.8041114807129","36.3002586364746","36.8397216796875","37.3816299438477","37.9271087646484","38.1633605957031","39.0420417785645","39.5783615112305","40.2152786254883","40.8574295043945","41.360710144043","42.2893218994141","42.4749603271484","43.2551307678223","43.9930191040039","44.745719909668","45.5806312561035","46.2909088134766","47.1962509155273","48.0630798339844","48.9716796875","49.7903099060059","52.9228591918945","53.7548713684082","53.9359703063965","54.6586990356445","55.6641082763672","56.5859107971191","57.4594802856445","56.7774085998535","58.744499206543","58.0646705627441","59.3244285583496","60.1681785583496","62.2936096191406","62.8565483093262","63.715160369873","64.3552017211914","65.4139785766602","66.3174285888672","67.2242736816406","68.0782775878906","68.5915832519531","69.2897872924805","69.9617919921875","", +"Low & middle income","LMY","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","48.2687683105469","48.4155197143555","48.7198905944824","49.5208396911621","50.299129486084","50.8609085083008","51.827320098877","52.6568489074707","53.6094512939453","54.5512199401855","55.3862991333008","56.151538848877","57.0711708068848","59.5974807739258","60.3190803527832","60.783561706543","61.7047386169434","62.3672409057617","62.9887313842773","63.6713409423828","64.3452224731445","65.0399932861328","68.6193084716797","70.1024627685547","70.6431427001953","70.8988800048828","71.455192565918","71.9598083496094","72.6843719482422","73.2831573486328","73.1530227661133","73.9280014038086","74.3053894042969","74.9159317016602","75.4450836181641","76.3895034790039","76.8634414672852","77.4066314697266","77.7011108398438","78.3723068237305","78.6684112548828","79.3245315551758","79.7357177734375","79.8329162597656","80.2071075439453","80.5442886352539","", +"Lesotho","LSO","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","92.0464477539063","","","","","","","","","84.9639587402344","","","","","84.9348907470703","","","","","","","", +"Late-demographic dividend","LTE","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","60.3770484924316","60.3902282714844","61.3710403442383","62.3515701293945","63.3833503723145","64.3471527099609","65.0927963256836","66.3125762939453","67.2879409790039","68.2505569458008","69.0720367431641","69.9979095458984","74.7782897949219","75.5452423095703","75.5583572387695","76.8778762817383","77.52734375","78.1622314453125","78.7709426879883","79.3862228393555","79.9662704467773","86.8535308837891","87.3444213867188","87.767936706543","88.0177612304688","88.5706787109375","89.0037536621094","89.5163803100586","89.868537902832","90.3109817504883","90.6195373535156","92.0150375366211","92.318717956543","92.7382583618164","92.8221817016602","93.4685363769531","93.6962814331055","93.7691116333008","94.0169677734375","94.1975173950195","94.4572982788086","94.6418762207031","94.8556900024414","95.0957183837891","95.2783813476563","", +"Lithuania","LTU","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","97.7815933227539","","","","","","","","","","","","99.6479415893555","","","","","","","","","","99.8332366943359","","","","","","","","","","", +"Luxembourg","LUX","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Latvia","LVA","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","99.1887969970703","","","","","","","","","","","99.7097320556641","","","","","","","","","","","99.9079208374023","","","","","","","99.9064025878906","","","", +"Macao SAR, China","MAC","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","86.2158813476563","","","","","","","","","","","","","","","","","","","","87.7749710083008","","","","","90.7235870361328","","","","","93.7319107055664","","","","","95.0325698852539","","","","","", +"St. Martin (French part)","MAF","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Morocco","MAR","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","17.5148696899414","","","","","","","","","","","","28.7254199981689","","","","","","","","","","39.6195602416992","","","","42.5878486633301","43.9210815429688","","57.6399917602539","59.1306381225586","","53.310920715332","","","","64.5913772583008","","","", +"Monaco","MCO","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Moldova","MDA","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","94.4444808959961","","","","","","","","","","","95.492301940918","","","","","","","","","","","","","","99.1404190063477","","","","","","","", +"Madagascar","MDG","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","65.2785720825195","","","","","54.7542991638184","","","","61.6414108276367","","","68.2833023071289","","","","","","75.0705795288086","","","", +"Maldives","MDV","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","82.1781616210938","","","","","","","","92.3590087890625","","","","","96.1460113525391","","","","","96.4429779052734","","","","","","","","","","","98.4298477172852","","","","","","","","98.6916732788086","","98.1147079467773","","","","","", +"Middle East & North Africa","MEA","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","28.4679908752441","28.9742794036865","29.5170097351074","30.2662200927734","30.6840591430664","31.4048194885254","32.1871185302734","33.0133018493652","33.8582611083984","34.826171875","35.8935699462891","37.0266609191895","38.0713882446289","39.3007011413574","40.2641105651855","41.5166397094727","42.7576904296875","45.5449600219727","47.0304718017578","48.2560691833496","48.8175888061523","50.1376991271973","52.0517883300781","53.8307304382324","54.9072189331055","56.3604583740234","57.7289810180664","59.063289642334","60.3621215820313","60.8823318481445","64.0388565063477","65.2930908203125","65.1725616455078","66.1244201660156","66.5801010131836","67.4646682739258","67.6424331665039","68.7493591308594","69.6018371582031","72.2800064086914","71.7169570922852","73.8556594848633","72.3262710571289","73.5672378540039","75.1057891845703","72.3556594848633","72.7718505859375","73.1993179321289","", +"Mexico","MEX","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","79.890998840332","","","","","","","","","","84.9559097290039","","","","","","","","","","88.6820373535156","","88.728630065918","","89.6310195922852","90.2104110717773","89.8345108032227","91.3555526733398","91.45361328125","92.1162490844727","91.8534164428711","92.3382797241211","93.1792373657227","92.903938293457","93.5913391113281","93.4854965209961","93.9685211181641","94.1657562255859","94.6080474853516","","94.4951324462891","", +"Marshall Islands","MHL","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","98.2029800415039","","","","","","","","","","", +"Middle income","MIC","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","49.4292984008789","49.571720123291","49.879940032959","50.7162704467773","51.5271301269531","52.101131439209","53.0984992980957","53.9498901367188","54.9313316345215","55.9032211303711","56.7620391845703","57.5519599914551","58.4964790344238","61.161491394043","61.9086608886719","62.381031036377","63.3616981506348","64.0752410888672","64.7343368530273","65.4420928955078","66.1634826660156","66.8783721923828","70.6591262817383","72.2139511108398","72.7632064819336","72.9957427978516","73.5462875366211","74.1345520019531","74.8803100585938","75.4476318359375","75.3656921386719","76.3696823120117","76.683708190918","77.3398590087891","77.9070129394531","78.9072494506836","79.2602767944336","79.8342666625977","80.1009674072266","80.8215026855469","81.111198425293","81.7692108154297","82.1637725830078","82.2600021362305","82.656852722168","83.0171279907227","", +"North Macedonia","MKD","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","90.9280166625977","","","","","","","","94.0560684204102","","","","","","","","","","","","96.6999969482422","","","","","","","", +"Mali","MLI","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","5.73528003692627","","","","","","","","","","","","","","","","","","","","","","11.8934297561646","","","","","15.8999996185303","","","18.1909103393555","","","","20.2879295349121","18.9046897888184","","","","22.1958103179932","","","25.7351608276367","","22.0784702301025","", +"Malta","MLT","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","87.2861328125","","","","","","","","","","89.2426376342773","","","","","","","","","","93.5042495727539","","","","","","94.7900390625","","","","","","","95.9887237548828","","","", +"Myanmar","MMR","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","71.6308670043945","","","","","","","","","","","","","","","","","86.4151763916016","","","","","","","","","","","","","","","","71.8469924926758","","","86.2686080932617","","", +"Middle East & North Africa (excluding high income)","MNA","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","24.8625392913818","25.3649806976318","25.8809299468994","26.4413299560547","27.231689453125","27.6575908660889","28.4183597564697","29.2243690490723","30.110330581665","31.0048904418945","31.9776191711426","33.1268882751465","34.3322906494141","35.4636001586914","36.8017883300781","37.8470611572266","39.1147994995117","40.3733596801758","43.3494606018066","44.877799987793","46.0939407348633","46.6899909973145","48.0496101379395","50.0624198913574","51.9076118469238","52.9770011901855","54.4245910644531","55.817211151123","57.1450805664063","58.4931793212891","58.8871688842773","62.1993293762207","63.4453086853027","63.225700378418","64.1495819091797","64.5232009887695","65.3546295166016","65.4277114868164","66.54248046875","66.8197708129883","69.7500915527344","68.9823837280273","71.33203125","69.5235977172852","70.8782119750977","72.5970306396484","69.4190063476563","69.8886108398438","70.3521423339844","", +"Montenegro","MNE","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","83.2354583740234","","","","","","","","","","97.7760467529297","","","","","","","","","","","","96.3188705444336","","","","","","","","97.5005111694336","","","","","","","98.2713470458984","","","", +"Mongolia","MNG","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","97.5288009643555","","","","","","","","","","98.3366317749023","","","","","","","","","","99.2410888671875","", +"Northern Mariana Islands","MNP","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Mozambique","MOZ","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","12.0965299606323","","","","","","","","","","","","","","","","","24.9641990661621","","","","","","33.1939582824707","","","","","","36.452278137207","","","","","","43.0624618530273","","50.2951393127441","","","","", +"Mauritania","MRT","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","43.4173583984375","","","","","","","35.3484306335449","","","","","","56.5924415588379","","","","43.3543891906738","","","","", +"Mauritius","MUS","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","74.660888671875","","","","","","","","","","80.5000305175781","","","","","","","","","","","86.658073425293","88.9793472290039","89.0509414672852","90.283317565918","90.6540222167969","90.9805526733398","","","","","", +"Malawi","MWI","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","33.523021697998","","","","","","","","","","","53.9971199035645","","","","","","","","","","","","51.2519683837891","","","","55.130989074707","55.2041091918945","","","","","","", +"Malaysia","MYS","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","61.2485008239746","","","","","","","","","","","77.283088684082","","","","","","","","","85.3542175292969","","","","","","","","","","90.7476806640625","","","","","","93.3694229125977","93.554069519043","93.5048294067383","93.6466827392578","","", +"North America","NAC","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Namibia","NAM","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","73.9866027832031","","","","","","","","","","83.5403213500977","","","","","","78.3509826660156","","","","87.951057434082","","","","","","","91.4364318847656","","","", +"New Caledonia","NCL","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","90.310791015625","","","","","","","","","","","","","92.0734405517578","","","","","","","95.4653015136719","","","","","","","","","","","","","","","","","","97.5","","","","","","","", +"Niger","NER","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","9.3993501663208","","","","15.0841398239136","","","","","","","22.551290512085","","","","","","26.6499996185303","","","", +"Nigeria","NGA","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","43.7291984558105","","","","","","","","","","","","43.3220481872559","","","64.2544937133789","","41.3867607116699","","","","","","","","","","52.6564788818359","","","", +"Nicaragua","NIC","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","76.6016616821289","","","","77.9160385131836","","","","","","","","","","82.7793502807617","","","","","","", +"Netherlands","NLD","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Norway","NOR","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Nepal","NPL","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","9.15312004089355","","","","","","","","","","17.3817901611328","","","","","","","","","","34.8867607116699","","","","","","","","","","48.837589263916","","","","","","","59.7244300842285","","","", +"Nauru","NRU","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"New Zealand","NZL","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"OECD members","OED","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Oman","OMN","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","73.5317077636719","","","","","80.8722610473633","","81.8032302856445","","","","88.9266967773438","86.0372085571289","90.9441604614258","92.2256011962891","92.6939926147461","","","", +"Other small states","OSS","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","68.0326232910156","68.1965789794922","68.3435974121094","68.5579223632813","68.9526901245117","69.8354034423828","70.3313217163086","70.6465225219727","71.1139297485352","71.5628662109375","72.208381652832","72.3407516479492","72.7682495117188","73.4530487060547","74.0774993896484","74.8770294189453","75.526123046875","75.6141510009766","76.1464920043945","77.0125579833984","77.7926864624023","78.2087097167969","78.8210372924805","78.5881805419922","77.8127899169922","78.9050903320313","78.1602096557617","78.3499603271484","79.0467681884766","79.4908905029297","79.9636077880859","80.4038162231445","81.3087463378906","81.5689697265625","81.8302993774414","82.1584930419922","82.5439071655273","82.9200286865234","", +"Pakistan","PAK","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","14.7715501785278","","","","","","","","","","","","","","","","","29.0438404083252","","","","","","","35.3675193786621","39.6132316589355","38.4577598571777","40.0811805725098","40.3146209716797","41.0155296325684","41.9753913879395","43.071891784668","41.9749412536621","44.2834205627441","","","46.4676704406738","45.3983993530273","46.4900398254395","","", +"Panama","PAN","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","88.0465316772461","","","","","","","","","","88.2148513793945","","","","","","","","","","91.2471771240234","","","","","","","","","","93.4852600097656","","","","","","","","94.881721496582","95.3588790893555","","", +"Peru","PER","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","73.8583374023438","","","","","","","","","","","","81.6587524414063","","","","","","","","","","","82.0626220703125","82.4543685913086","83.4548721313477","84.6468811035156","","","","","90.668830871582","","90.4491806030273","91.2465286254883","91.1885299682617","91.2701263427734","91.7031097412109","","92.0190277099609","", +"Philippines","PHL","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","82.7621536254883","","","","","","","","","","93.1807174682617","","","","94.5386505126953","","","","","","92.6549072265625","","","93.5645294189453","","","","","95.8256301879883","","","","","96.7873611450195","","98.2417526245117","","","","96.8524322509766","","", +"Palau","PLW","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","90.5032424926758","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","99.5279388427734","","96.3401489257813","","","","","","", +"Papua New Guinea","PNG","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","50.9177398681641","","","","","","","","","","57.9000015258789","","","","","","","","","","","", +"Poland","POL","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","98.2519836425781","","","","","","","","","","98.2519836425781","","","","","","","","","","98.2519836425781","","","","","","","","","","98.2519836425781","","","","","","","","","","","","","", +"Pre-demographic dividend","PRE","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","35.6982498168945","36.5577583312988","37.3425598144531","38.0793800354004","38.8713684082031","39.9177589416504","39.8971710205078","40.5901489257813","41.3079795837402","41.9204216003418","42.843879699707","44.0100898742676","44.7048187255859","45.6559982299805","43.8282089233398","44.8613204956055","45.622688293457","46.4052505493164","47.127628326416","46.7583198547363","49.5331115722656","44.7498588562012","45.0121307373047","44.1467018127441","44.9907302856445","47.1278190612793","49.7419815063477","50.4681015014648","51.7933006286621","51.1674385070801","53.7258491516113","54.9614906311035","54.2574195861816","54.9837493896484","55.6928215026855","", +"Puerto Rico","PRI","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","85.850341796875","","","","","","","","","","89.73095703125","","","","","","","","","","","","","","","","","","","","92.5301513671875","","","","","","","92.390022277832","","","","", +"Korea, Dem. People's Rep.","PRK","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","99.9976119995117","","","","","","","","","","","","","", +"Portugal","PRT","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","74.6079864501953","","","","","","","","","","84.6582107543945","","","","","","","","","","","","","","","","","","","","92.8607711791992","","","","","","","95.0725173950195","","","", +"Paraguay","PRY","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","75.8529815673828","","","","","","","","","","88.558708190918","","","","","","","","","","","","","","","93.4532699584961","92.4944305419922","93.1440124511719","92.9257431030273","","93.5878524780273","94.4662628173828","94.2147979736328","94.8744201660156","93.8350524902344","","93.5317077636719","92.6553421020508","94.1814117431641","", +"West Bank and Gaza","PSE","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","79.7636413574219","","","","","","","88.7657470703125","","89.7580108642578","90.3467636108398","90.7517013549805","91.4814682006836","91.8474426269531","92.2456207275391","93.2184600830078","93.7719268798828","94.0963287353516","94.530143737793","94.8863372802734","95.2815780639648","95.7418899536133","95.9148864746094","96.2016677856445","", +"Pacific island small states","PSS","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","84.2139587402344","84.2374725341797","84.4985275268555","84.7647171020508","85.0336532592773","85.2867965698242","85.4372177124023","85.7378311157227","85.9629669189453","86.1726531982422","86.3776779174805","86.5918273925781","86.8025131225586","86.9851913452148","87.1773300170898","87.3336181640625","87.4653778076172","87.6523208618164","87.8519134521484","88.0488891601563","88.2543411254883","88.4016265869141","88.5269088745117","88.6438674926758","88.7157516479492","88.8117980957031","88.9789276123047","89.1491928100586","89.1703109741211","","","", +"Post-demographic dividend","PST","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"French Polynesia","PYF","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Qatar","QAT","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","72.4589462280273","","","","","","","","","","","80.8886795043945","","","","","","","86.711181640625","","","90.4361190795898","89.1377105712891","90.1530685424805","91.8958206176758","90.2465286254883","90.8117218017578","91.7296295166016","92.4524002075195","","94.2070388793945","94.7115097045898","","","","", +"Romania","ROU","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","94.9826889038086","","","","","","","","","","96.2663192749023","","","","","","","","","98.205207824707","","","","","","","98.5997695922852","","","", +"Russian Federation","RUS","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","96.758171081543","","","","","","","","","","","","","99.2283630371094","","","","","","","","99.6477813720703","","","","","","","","99.7341079711914","","","", +"Rwanda","RWA","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","26.573579788208","","","","","","","","","","","","","","","","","","","","","","59.7503395080566","","","","","","","","","","61.5486106872559","","64.6644897460938","","66.1374435424805","","","","69.3945388793945","","","", +"South Asia","SAS","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","21.42672","21.43681","22.17179","22.92134","23.67722","24.42233","24.65538","25.9128","26.70422","27.50632","28.32026","29.14461","29.98074","29.95941","30.87266","31.76864","32.43296","33.55333","34.46978","35.39984","36.35481","37.33181","38.31713","42.89322","43.90236","44.93043","45.71406","46.96604","47.83429","48.86326","48.05305","49.33618","49.87898","51.68541","52.70363","55.7265","56.83431","57.46776","58.45438","59.46374","60.55537","62.13805","63.05277","63.72016","64.64469","65.55431","", +"Saudi Arabia","SAU","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","57.2778396606445","","","","","","","","69.2911911010742","","","","76.3351593017578","","","","","","","","","91.3692474365234","","","","92.7071990966797","","","96.0492477416992","", +"Sudan","SDN","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","52.1464004516602","","","","","","","","46.6996307373047","","","","","","","","","","56.0632286071777","","","", +"Senegal","SEN","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","17.8632698059082","","","","","","","","","","","","","","29.2473392486572","","","","32.9875793457031","","","37.4244117736816","","40.2549514770508","","33.7603607177734","","","","39.7985610961914","","","","", +"Singapore","SGP","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","73.9685363769531","","","","","","","","","","83.0268478393555","","","","","","","","","","88.6451797485352","","","","","","","","","","93.7748107910156","94.0683364868164","94.3595886230469","94.6418685913086","94.9113235473633","95.1906509399414","95.4478912353516","95.6894683837891","95.9194107055664","96.1347579956055","95.8254699707031","", +"Solomon Islands","SLB","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","69","","","","","","","","","","69","","","","","","","","","","","","", +"Sierra Leone","SLE","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","24.1589298248291","","","","","","","","","24.8566799163818","","","","","34.8520317077637","","","", +"El Salvador","SLV","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","71.2805328369141","","","","","","","","","","","","","","81.0038223266602","79.6621322631836","81.3594970703125","81.8179473876953","82.3080215454102","83.0156402587891","","84.6703491210938","","86.2171020507813","86.3264236450195","86.6736373901367","87.2341384887695","87.3185882568359","88.5415267944336","", +"San Marino","SMR","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Somalia","SOM","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","3.68717002868652","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Serbia","SRB","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","94.0682830810547","","","","","","","","96.7491073608398","","","","","98.2282791137695","","","99.115608215332","","", +"Sub-Saharan Africa (excluding high income)","SSA","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","38.1044883728027","38.536548614502","39.2886009216309","39.9842491149902","40.5447616577148","41.3495483398438","42.1324501037598","42.383861541748","43.101879119873","44.0156593322754","44.539119720459","45.4306907653809","46.5273513793945","47.2344284057617","48.1425018310547","46.7293891906738","47.7579193115234","47.7996482849121","48.5588188171387","49.8600692749023","49.114818572998","51.5006484985352","48.3996086120605","48.7554016113281","49.4340782165527","50.1825790405273","52.1111793518066","53.4195518493652","54.3998413085938","55.2351493835449","56.0862808227539","57.070671081543","57.5594482421875","58.2600784301758","58.8232116699219","59.3613510131836","", +"South Sudan","SSD","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","19.1863803863525","","","","","","","","","","28.8642597198486","","","", +"Sub-Saharan Africa","SSF","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","38.2087783813477","38.6405410766602","39.3910293579102","40.0851898193359","40.6444816589355","41.446460723877","42.2289695739746","42.4803810119629","43.1969985961914","44.108699798584","44.6312789916992","45.5209808349609","46.6138687133789","47.3198394775391","48.2260818481445","46.8165397644043","47.8430480957031","47.8844604492188","48.6414604187012","49.9392585754395","49.1955108642578","51.5755195617676","48.4812507629395","48.8378486633301","49.5145492553711","50.2607688903809","52.1845893859863","53.4932899475098","54.4701805114746","55.3046112060547","56.1533012390137","57.1350593566895","57.6181907653809","58.3170318603516","58.8786087036133","59.4151992797852","", +"Small states","SST","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","74.6354522705078","74.8509063720703","75.4164581298828","75.7233200073242","75.9302215576172","76.2383575439453","76.5595321655273","77.0196990966797","77.1251907348633","77.4836273193359","78.0058822631836","78.4917984008789","79.120719909668","79.5102996826172","79.7268905639648","80.1599807739258","80.8267364501953","81.4301834106445","81.7761993408203","82.2585830688477","82.1193084716797","81.7082824707031","82.5276412963867","82.0286026000977","82.2015533447266","82.724006652832","83.0065994262695","83.2869186401367","83.6211090087891","84.2871017456055","84.4822387695313","84.6760711669922","84.9098663330078","85.1800384521484","85.4444580078125","", +"Sao Tome and Principe","STP","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","42.3633804321289","","","","","","","","","","61.9204788208008","","","","","","","","","","77.9492263793945","","","","","","","60.0830307006836","","","","85.4417037963867","","","","","","89.5157318115234","","","", +"Suriname","SUR","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","87.1974411010742","","","","93.7653732299805","","94.0035400390625","","90.9979095458984","","","","","","92.7120590209961","","","", +"Slovak Republic","SVK","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Slovenia","SVN","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","99.4537506103516","","","","","","","","","","","","","99.5999984741211","","","","","","","","","","99.5999984741211","","","","","","","", +"Sweden","SWE","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Eswatini","SWZ","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","53.665958404541","","","","","","","","","","65.2228775024414","","","","","","","","","","","","","","80.3287506103516","","","","","","","","","","82.4475479125977","","","","","","","","88.5426864624023","","","", +"Sint Maarten (Dutch part)","SXM","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Seychelles","SYC","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","85.4893035888672","","","","","","","88.5866012573242","","","","","","","","92.2589797973633","","","","","","","","94.4489822387695","","","","","","","","96.3501968383789","","","", +"Syrian Arab Republic","SYR","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","37.0591583251953","","","","","","","","","","","","","","","","","","","","","74.2404403686523","","73.6265563964844","","","","","","","","","","","","","","","","","", +"Turks and Caicos Islands","TCA","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Chad","TCD","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","4.59182977676392","","","","","","","12.7964200973511","","","","17.9805793762207","","","","","","","","","","","13.9334096908569","13.9552297592163","","","","","", +"East Asia & Pacific (IDA & IBRD countries)","TEA","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","49.4456405639648","49.6832084655762","51.1427993774414","52.6258697509766","53.4672508239746","55.6336898803711","56.8034782409668","58.5550498962402","59.9786605834961","61.3384704589844","62.4960403442383","64.0233612060547","69.9714736938477","70.9811630249023","71.1003723144531","72.7021102905273","73.5073165893555","74.2889709472656","75.1205520629883","75.9444885253906","76.6740798950195","84.876106262207","85.4132537841797","85.8926620483398","86.2834320068359","86.9579315185547","87.5093231201172","88.0800170898438","88.5486297607422","89.053352355957","89.6480712890625","91.2224578857422","91.580680847168","92.086181640625","92.2517929077148","92.1261672973633","92.4321670532227","92.5709915161133","93.1820297241211","93.4277877807617","93.6351089477539","93.9019088745117","94.140510559082","94.3550186157227","94.5716400146484","", +"Europe & Central Asia (IDA & IBRD countries)","TEC","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","92.0949935913086","92.8866806030273","93.0813064575195","93.2068176269531","93.3803176879883","93.5167770385742","93.6104736328125","93.7963714599609","93.9249496459961","94.0914001464844","94.2578582763672","94.4240798950195","94.5936737060547","94.8445129394531","95.005500793457","95.4818878173828","95.5805130004883","95.5946731567383","95.6948623657227","95.8122024536133","95.9107666015625","96.111442565918","96.3416366577148","96.3018569946289","96.4371795654297","96.4877395629883","97.2599182128906","97.6474609375","97.9776000976563","98.1565322875977","98.2249374389648","98.2667999267578","98.3063812255859","98.4686279296875","98.4350891113281","98.499267578125","98.5484085083008","98.5962066650391","", +"Togo","TGO","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","38.4532890319824","","","","","","44.3766288757324","","","43.6068992614746","","47.9773902893066","","","","51.2417793273926","","","","55.0514984130859","","", +"Thailand","THA","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","83.8933486938477","","","","","","","","","","","","","","","","","","","","90.5160217285156","","","","","91.5295715332031","","","","","96.4270477294922","","","92.2491607666016","","91.1919326782227","","","92.4285583496094","","","", +"Tajikistan","TJK","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","96.6417999267578","","","","","","","","","","","99.2212295532227","","","","","","","","","","","","","","99.6999969482422","","","","","","","", +"Turkmenistan","TKM","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","98.2617721557617","","","","","","","","","","","","","","","","","","","99.5999984741211","","","","","","","", +"Latin America & the Caribbean (IDA & IBRD countries)","TLA","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","75.1713180541992","75.1771926879883","75.6296234130859","76.1443405151367","76.7086410522461","77.2295684814453","77.8290863037109","78.2453308105469","78.7467575073242","79.2575531005859","79.7575225830078","80.2426223754883","80.7208633422852","80.9963684082031","81.6130905151367","82.1812896728516","82.6930389404297","83.2772903442383","83.9735488891602","84.6687393188477","85.2519989013672","85.8937072753906","86.2936706542969","86.6078033447266","87.1782684326172","87.54541015625","87.8781967163086","87.905387878418","88.0908889770508","88.9229965209961","88.9342422485352","89.4737930297852","89.3553314208984","90.0991287231445","90.3553085327148","90.7353897094727","90.878288269043","91.4522171020508","91.7836608886719","91.8584823608398","92.3443908691406","92.5107498168945","92.984260559082","93.1246109008789","93.3260879516602","93.7860412597656","93.9632797241211","", +"Timor-Leste","TLS","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","30","","","","","","42.5","","","52.9589996337891","","","","","","","","64.2109375","","","", +"Middle East & North Africa (IDA & IBRD countries)","TMN","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","24.4547996520996","24.9580898284912","25.4747295379639","26.0372009277344","26.8326892852783","27.261739730835","28.0289001464844","28.8416500091553","29.7346801757813","30.6359691619873","31.6155605316162","32.7728996276855","33.9869613647461","35.1265487670898","36.4737510681152","37.5260887145996","38.8028182983398","40.0699615478516","43.068790435791","44.6074600219727","45.8311386108398","46.4190216064453","47.7772789001465","49.7948608398438","51.6439895629883","52.7299385070801","54.1585502624512","55.5528411865234","56.8832817077637","58.2354316711426","58.6138114929199","61.9523086547852","63.211368560791","62.976131439209","63.9018402099609","64.2690582275391","65.1007308959961","65.1627197265625","66.280387878418","66.5529327392578","69.5008697509766","68.7161712646484","71.0848236083984","69.2489700317383","70.6110992431641","72.3425979614258","69.12255859375","69.590217590332","70.054069519043","", +"Tonga","TON","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","99.5255279541016","","","","","","","","","","","","","","","","","","","","98.9755477905273","","","","","","","","","","99.0825119018555","","","","","99.4342193603516","","","","","","","99.4750289916992","","","", +"South Asia (IDA & IBRD)","TSA","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","21.4267196655273","21.4368095397949","22.1717891693115","22.9213409423828","23.6772193908691","24.4223308563232","24.6553802490234","25.9127998352051","26.7042198181152","27.5063209533691","28.3202590942383","29.1446094512939","29.9807395935059","29.9594097137451","30.8726596832275","31.7686405181885","32.4329605102539","33.5533294677734","34.4697799682617","35.3998413085938","36.354808807373","37.3318099975586","38.3171310424805","42.8932189941406","43.9023590087891","44.9304313659668","45.7140617370605","46.9660415649414","47.8342895507813","48.8632583618164","48.053050994873","49.336181640625","49.878978729248","51.6854095458984","52.7036285400391","55.7265014648438","56.8343086242676","57.4677581787109","58.4543800354004","59.4637413024902","60.5553703308105","62.1380500793457","63.0527687072754","63.7201614379883","64.6446914672852","65.554313659668","", +"Sub-Saharan Africa (IDA & IBRD countries)","TSS","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","38.2087783813477","38.6405410766602","39.3910293579102","40.0851898193359","40.6444816589355","41.446460723877","42.2289695739746","42.4803810119629","43.1969985961914","44.108699798584","44.6312789916992","45.5209808349609","46.6138687133789","47.3198394775391","48.2260818481445","46.8165397644043","47.8430480957031","47.8844604492188","48.6414604187012","49.9392585754395","49.1955108642578","51.5755195617676","48.4812507629395","48.8378486633301","49.5145492553711","50.2607688903809","52.1845893859863","53.4932899475098","54.4701805114746","55.3046112060547","56.1533012390137","57.1350593566895","57.6181907653809","58.3170318603516","58.8786087036133","59.4151992797852","", +"Trinidad and Tobago","TTO","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","93.4641723632813","","","","","","","","","","95.6617889404297","","","","","","","","","","97.0999984741211","","","","","","","","","","98.3000030517578","","","","","","","","","","","", +"Tunisia","TUN","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","35.7675704956055","","","","","","","","","","","","","","","","","","","","65.3478622436523","","","68.5093765258789","69.2093734741211","","71.0882110595703","71.7295989990234","72.1606521606445","","72.2237701416016","","","","","","","", +"Turkiye","TUR","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","45.0989189147949","","","","","49.8064117431641","","","","","64.2317199707031","","","","","68.519660949707","","","","","","","","","","","","","","79.5816879272461","80.5489501953125","80.3851623535156","81.2638320922852","","85.3471603393555","88.0731735229492","90.3100967407227","91.6045227050781","92.1380767822266","92.4018173217773","92.6458129882813","93.5630111694336","93.4982681274414","","94.4240417480469","","", +"Tuvalu","TUV","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Tanzania","TZA","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","48.088020324707","","","","","","","","","","","","","","62.1723213195801","","","","","","","","60.7526206970215","","73.3471832275391","","","73.0938262939453","","","","","","", +"Uganda","UGA","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","44.8266906738281","","","","","","","","","","","58.9098815917969","","","","62.078971862793","","","","64.5914535522461","","61.9704284667969","","","","","","70.8380584716797","","","", +"Ukraine","UKR","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","99.1715698242188","","","","","","","","","","","99.9581985473633","","","","","","","","","", +"Upper middle income","UMC","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","59.0030212402344","59.1835098266602","60.2278785705566","61.2260284423828","61.8190002441406","63.3129997253418","64.1294326782227","65.4034881591797","66.5973587036133","67.604362487793","68.5918121337891","69.561393737793","73.951286315918","74.7220687866211","75.0694122314453","76.3005294799805","77.0089797973633","77.7113800048828","78.3763732910156","79.1135406494141","79.7574920654297","85.8029632568359","86.3609085083008","86.8347015380859","87.2079696655273","87.7379531860352","88.0858383178711","88.755126953125","89.1579132080078","89.6297912597656","89.9879837036133","91.1909103393555","91.5110168457031","91.9986114501953","92.2336807250977","92.5347290039063","92.998161315918","93.0801696777344","93.6411209106445","93.5357208251953","94.1047134399414","94.2225112915039","94.0710906982422","94.3184661865234","94.5203704833984","", +"Uruguay","URY","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","94.3045196533203","","","","","","","","","","95.8815383911133","","","","","","","","","","","97.2709579467773","","","","","","","","","","98.084358215332","98.2419281005859","98.4636611938477","98.5337219238281","98.4909515380859","98.6190795898438","98.6605529785156","98.6364288330078","98.8090515136719","98.8674621582031","98.8503189086914","98.9639129638672","99.0077362060547","99.0352630615234","","", +"United States","USA","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Uzbekistan","UZB","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","98.1385803222656","","","","","","","","","","","","","99.9958724975586","99.9759902954102","99.9757690429688","99.9784088134766","","99.9858703613281","99.9999465942383","","", +"St. Vincent and the Grenadines","VCT","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","95.5","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Venezuela, RB","VEN","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","83.0046615600586","","","","","","","","","89.0048522949219","","","","","","","","","","","92.7159805297852","","","","","","94.9296417236328","","95.3504028320313","","95.0288772583008","","","","96.5600662231445","97.2137069702148","","","","","", +"British Virgin Islands","VGB","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Virgin Islands (U.S.)","VIR","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Vietnam","VNM","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","78.1403884887695","","","","","","","","","","82.8293914794922","","","","","","","","","","86.9200820922852","86.610107421875","","","","","","","","","91.3790893554688","","","","","","","","","","94.5656585693359","","", +"Vanuatu","VUT","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","47.7825889587402","","","","","53.7000007629395","","","","","","","","","","65.5999984741211","","","","","","","","","","76.1999969482422","","","","","","","","","","83.1999969482422","","","","86.7060928344727","","","", +"World","WLD","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","58.4202613830566","58.6198806762695","59.1843605041504","59.7289199829102","60.0935401916504","60.8117904663086","61.376091003418","62.0517082214355","62.7214584350586","63.3118286132813","63.8553695678711","64.5435028076172","66.5894470214844","67.1336212158203","67.4697494506836","68.1864395141602","68.6570587158203","69.1355361938477","69.6680068969727","70.1975173950195","70.7326736450195","73.5636596679688","74.7139587402344","75.1602783203125","75.3438720703125","75.7927703857422","76.2231216430664","76.8137817382813","77.2944793701172","77.1474075317383","77.8172836303711","78.1115493774414","78.6642074584961","79.0705490112305","79.804328918457","80.246467590332","80.6990737915039","80.9379119873047","81.526008605957","81.7689971923828","82.3073120117188","82.6396179199219","82.7228927612305","83.0239105224609","83.2975997924805","", +"Samoa","WSM","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","97.4217376708984","","","","","","","","","","","","","","","","","","","","99.0695266723633","","","","","","","99.2450408935547","","","", +"Kosovo","XKX","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","", +"Yemen, Rep.","YEM","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","17.0595607757568","","","","","","","","","","35","","","","","","","","","","","","","","","","","", +"South Africa","ZAF","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","74.8071899414063","","","","","","","","","","","","","","","","80.9286270141602","","","","","","","","","","","87.043098449707","","91.7681579589844","91.7139892578125","92.0478897094727","92.5862503051758","","93.0730590820313","93.4080276489258","","86.4586334228516","","94.5331726074219","","", +"Zambia","ZMB","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","57.3577613830566","","","","","","","","","59.802848815918","","","61.8392791748047","","","","","51.7869682312012","","","77.7466430664063","","","","","","","","83.0834426879883","","","", +"Zimbabwe","ZWE","Literacy rate, adult female (% of females ages 15 and above)","SE.ADT.LITR.FE.ZS","","","","","","","","","","","","","","","","","","","","","","","71.8539276123047","","","","","","","","","","78.5170211791992","","","","","","","","","","","","","","","","","","","80.0656585693359","","","88.2838287353516","","","","","","","", 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 b0db3940c9e4c42991f99bbfc5067dcbf367942b..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 36019 zcmb@NLy#^^(53sfZQHhO+t%B*ZQHhO+qP|6w~gD~^UWW#nV9X=s`4yqkri1L`P3;z z84yrZARr(}An-CowWi*^knjH@w?9BY0zkMxa;7c-6MzfAK+4X<(iq@k?_?mPC}p4` zK`$XDPp>GXEK9GgVj!x*Y+!0;Kppg%F4vT#>q_oUr1Pl2}D`&znA}ihg!m{ zRR|-h_*-b-uoxxf#=@p++F&DbOXRxn2DHQ2gA3dPdK@-bdLJuWQW1v z@%sbq#3r4h0+w*Rm5nuG=DhWr5G z%;X=NP=sHO1=@a%PN5K`sy6qiK>hilfy&|O#aa%&2>+I*AzpM2uGq)j;T{WO$a7C} zr;G@8TTvi=-IDu8NY=hVvu@wG`jZ%Rp{}yxa~G@f#i28*KI#$wRRqQVE9-B9woD_I zKtOZaz(BPBW&QtGif?+ilW-)G=sx>qUj+sX-Mrq|Rmw-do%TFXM$x4lC97Jy_XW|j zMqC=Bf~%6mKU<$1_%HtrY0(UUw986Tp{~?Q;UK4K>B^EKXX4}E;onXF_Wz#$<_hTV z(3{!U-LKuJKQWx`>(w(bn8l~>GceQ(_-pI$&gJRp)$B3Y)vt3rG5nnWzUTiM|M)mM z^L)KNjUKs0k~EHP$1tBMQ2$I)a$PLG?5^H^j&DwnQvCRTofluj{5U($z5eP5#w~DF zbS=A@U(K!MR`VFR7v34|mUc~>Vq9w(@yXPfN50TD=8>&6k9ehN&LjViSY$o%!So?SJCAQ*mk)kDhzkoy~4% z*OM#875$oCRks(q-h9!umJ45Wo%!MmZC9Sydh^Bq5oP(J7k#dtAg;UJVSo_u{lagn zUtZ3yUv95Ht=zufHfNn2y;;6GLL7R(9AAgoM6KJpvh?UY29BIwJsbOU=_nmIngxCg zesS*opIW>>PfXvg2CvU|_xFI_8NQBcKfbUZ`MiS)n{^Fl(KRq|o!SZhBJ4FVW2C=-?KvT!!C*G3N4AaRDQwM8zw(f2d6rMA}E%4>0Jh5D`}TikKe% zvc;O}WLf+$L}`^!(ouKaBGv5)tYQ|E`{UG6Nwt~4haVAfA08iFy*hha6m`7}6>;5| z9tcadH+DlzI*%I)d@99d8{7Cv$@(D9I|u3+ME}(1dDeUpDqU_5PZAvEFT6IM-bWwJp zb^$K!N<0lR>~0KBfv@D6x6TceAR_fubJOZeEMha|)Q;fiM<@zvdCu^WGD)BMb7K}y zK!J**1gf2mr@=)*oSZ5YH`1qO?H3S!OY<8B;sy|E8s)K=!nwi_#ImtH|d-o`E7$sNdL@Do8GJpBzMs9uwA zb|t>t<}-X~>N=0h!7d0Qs0`U>8Ms@?>u|!Yp01KL#`?7@Qh$0p1)-lg8pt}H^yVZY z?P+d!+K`9E`y!l>{tE~D8~te3cRe?@(>D_%G`0NK(Qb{XFQsLDdBFwkPK9LZ*@5d8 zw~{L>rfxv)86X06A3|L=0?909^7-rv=g^Cc(_0(D;E1QLm;xf5P88fySIH4u9RZg9 zJ$eyC2{PBoLuc;KU26PGMFL<)3(gx-K9DL1mI7m~c=}IP8z!HFJYLRHTO?Q%epoI; zoJ%Gx%Z_n}6Vo6XY+r_W=k(M8wPDsE`jZj3nH3t|<$ENW#orRNJCNL6-BSTEknChL z?aWQU(4+9-3boEXT0ul~U^Ha+TH1%|a`w#RU{7!*%_4^;2!5LOSf=oI&k7l?N{>Dz zr(>&HfQU8T9{R}*|ACH4hgiqG6E#9G_D^S<5BZC#LlqzGWr)tKijZo5uQt<(Ch6;B z`Kp&=cMp{?Pv}J?_Ft7Ugk`+lzkB%G-#cHgY${671P<2f8m6zFd|>wZb6jDK^9wCp zCA_dmp-DE1QDpC23~RYbI>pf-2@qNK{7iLB1DyuV56apHdQ&YJy;88IQdk?bZ6Cx2G1h) zhrrqh%#mX4^?CzY!GVM7BXvQpZSp{QsjP|UbBJRB(poLb z^@R~-cq!U&4J`)DB9T@l7F#kjg29@F?+Qo|zKikrA9+y51RZe+ICfwDnsXx=aVFO3 zFF4fXI7tvn66SJt+3}n7rwS(ax1%Ho?5JZ$WoN80sw%y2Z$fB>ZEXvg=${$VD;=a^ zsc8gD5S0aw-_ZK(lUB2&RnPOl=n!j~dFM=Q4P32TBGO+g+J)D_u*WP>XM^q&br~ld zBfr10;|F32Z3LJh21@mP`<#>AJuN$Z+ckc^brpTJQ*|u3x>_}7re{u)!FVHa&~zoW zIB|ob>}Wv{&{m*2>3D93%<4t{Wjq6BkZYgypuDj!7-UKvvJdG}7fT8&STObQ&8DeU z#NMHb5k=`pQ6Cn2#^4(P4rA?0!d!y5W=%*Acfangjz;_WIy^Qkm-!WlBIq0;x751WH~`pPOSQ} zU8G7?X2bNPW)ey zq|cA8hEI=-Jf9MqK3t%opgkFWB~QNuJu-6%%oZc}4}v+8{**tUW(-4YzC4yS2mr>H(6PlB+PzMj+ zWE7py3(#6Io*XW(qaYH`Nrxjms75HE{yKYOeq0{Vfh64NB!DaojK>GV=05`v=Lqye zB$Ih~U4WYOp1ZvTT#UhEjxNMle03SBOy5>fNvnRhYvH zB?P%rd~5pkYgfE@o^xjnR)l+{U2~Ux_j>oS^1@3NxDGLD!XK_BlZy$Ey{j>|!mn}H zn--G2J6((quDLs3%!hUiQ*Thp4X=9u&@w9m4&YgyB!st9sLQkd)%a1PY(DkN3Hs3L z_0=BYhZimkmc8i@vxj@6d=4fPZNJIAqA5fa7X~`xk@INN=f-UqgN_{f>UAZ)AZ5aj zwrJG}tiq;-GxX&KFy`E=ojp&lzO9mdnL#VPd=AN8**XbLyYZ%U-S*pZgP+c6qKTy4 z_R!DW8odQ-diFTKrlmGIm)`LwwC~<+zStvh$^PYW-+~oJ9eX({M~jvs=*tuShf=jL zG7ym`uSLcI`$6wf9pg5${6^+$1QZm-PHs_bC>1J=j6@iM)Fud9BlOCK*Zfoen1K=l z)ejt{WS*St$bW%NHc!-`pMo_wMG*RV&+~!or5J`%)T=~401Mp@Y~)$HI3`9=^Rim} zH%43n!$+E^8!+M;$cwMe6w19A>K`9{Pa7Vnf2h*3HQ$Jf7K?#~&z2c|D4hl&j35hKB{U>sBDudU;|~ejd2XCOD4P zIXczT3KzBe6CqzK5_5E=ulEC>1Y))?H`s^ejsjsn&R4L{9?R?Ik)kiQ*~KE#xs6^` zp-t%}AAxea_FRW5YfR|Wp+=srMdsO=)vNE<=k4C<6@N^?_wEF|WYsNfRRo~NNJ<7o zbY5%@Ub%(RT$+f2_UFsFGpBSrT!_L6YOe)d**!(&&N-0l8YVhzyhB5XZ%!uMDUmA{ z6tP6@zP4oWk;sd5qx4|jCVqYyjFdq67L;cnjzUcEYoUN0Vji5KO%S&QpF~>*$J=AY=x!G|vp3XPJ?~)zrFA1%P?f(1r&m z1eRZltT@;e3t|P$b!kFi(XWGrv+|^BdRy7h>~V%ji&wWMx?)j#^p@Y|?Fdn)n@U~3 z9y`4{IC^$_DfHhhCWoUWXvsRnp-QJknoUJ8q)i4LNP?KoBnHb$K-1u#^~hr9mHwM# z_CwH-nb2$*TV5kK;U9#?B9=}T9-LAxa`TCq>;~M?dk8DJAGhH<3mti z{GvXk$^??k@W)w#)*ZN*lETL^iMpiATjBdGeDzjg`i1Nyt?6?W6`H%M z3JFcsS@@O1&oH@bS8vb84XBy}r+L@KuiM$netiuN-&a>xkB-57-p(UGTKV0ISPaSB zD>b{Ni#DgQHEbhA4v(B6Id?{giVS5?JWe++ zQ5e7l`NU5lGKp8HHf{xAe)xwy;xsour>x;NGiJa2M2wkFt0Bn3vcX2U`?5WAI6^(B8*P2%;yAxBVRbqK|dDPQ8vv4M2JG* zP^;n%D?!p{&xWB^4oZeh-7$mAR>y^%n;`Q8gD^+=|Fi7u>oXJlT#Tk7P%)Db7p zOxK?P!rdB+A0}xE8qPue?z#o(zLdcc$M@YMe#qW^OR~*dOSSNH!~`rtE%un@N7Z5-`C-pCs>o@L*%7)~LunxUV<&)2^4otQKpiJbd~g z%vc)}wMA|GAl(664PWzNbM;R-;fc$ie=xZ5s249-E!_71BRlmP_tP<7UeJHd*E;QC z)>UOH?6^v%ynG2FV!ACUXkPRYZA6kztY!?U(>5dFD0kR}sN=)I=Ukat1@D;Qulyx6 zxO)!HR(~7b0;0tA>i2qe=||- zJv)7>T4x#C44qqXSI2PGkB*-htlIv{e~y{Cm|WMoM)Jnmx~Al=74NhuJ=T4P}-dWPVC)s^hT4cDm+E`JgrH+LgOrjcE7YWnBb(y`%VhWd$z_Y@2 z$uGSpUNmz=!cT1L_Icf~-$o&l-lV=p>9xUz>8PXPLCZd@qih0HS+rnx5$MagUnQ52 zYs#b`m)R*Np&9YA9Tr`OLqVxhAEva)X%|*%Ap7p^5Wt|VYz^Kow*TvtW$Ng>k-wYC zWz)60ggxL7Svo@ZxP8qaqevm%a}a5vCHYxSH1}W;r4hJWI^Ic$Bg&lJ?0KyV-n^e;g2T9Ba&>!w^Pdi$MHVJwqhFiBYtB=l-UO|8AB0dU#B@Nk}Y^aVuQdEHz>L~6uIqN?EC+2+O;O^l>-mk{oKFjchQxWmG zy2ap=GhM9^{UY$rYT(BgSZ*l;?mNW}*m4-fZD|ZfnF{d?qn<*(=By~fn!eID!FgJ)oLqEIF8q6@{lmoU}D^ zki5*7fSUn<$9V0nm-}Znj(O2)GY^Xyzisf-bS%-(XL#rjCDxzmDH0#G)@eLK!xnH$#}Pnwm@bh|HX*jC`7#9p|uZPZ`;t zDUn^&Y#BgdYM*!OTcKm*kc0pd*#LFUM1&sKugox>;{#K^+0u%c{-8bqA0rM0gEb!- zoMRNDubu?Gj2L~REf0VGk6fCFb>Rq;%@`)g)D5xrbu2shbQi2l5dyYFwGiQRHWmXG{!e#q1H@q z@|xFyfLT4lq{HT>gqPhL+?cWlAalK{PudOFOpcOevG))dtsHefz+2}AnT+xUx_rNv zN1v8oBV3Q3$0zJXufA1Bn^MhtKN><$?m|5^k`Hop&rqs_GsB<(R2p}i5t1Ge5)Fy< zs6Z-GAP{9t4c(PWN2Do^;6});ueHXPFmE=6R68?r+vt879n>a762+I3P8@oSG}c&pjV;XskZ0+vA;)SQ5rNktqiVQS z#(~LQYPSnUIYuu3{==!|79FeL=I?dTqtQ-?62iOm537d^#cnp=Y)f^>GZUhO4UK8U zp$XA3+En9dL{uXjWj{m*;g|BHIY$*Lxm zPRvx;$Su$7OXDANjLrJy0YHT-fqik85!$|@`;uoX;HuW1+)=S7f$@dBtBR`quUR7(9xx9L7P_r zpmczc&69(8P)PZK?4kC+$zrq_)NXU=E*~u5Rrf&fBg`j9j3HTDGU1V{f=dMd99j

cEX7iujAdaEJ(?Us zxiJEY4a=#tU?Vtux4>9}V=jI@_Gi|X6bdX2D28F}Rc6~m1QnN8sxd7YZsBBYE=@{CM9H-}Vb3gDoU}R-`(Foa>Xj13*z=`q zV0L3Fa!K(hH2}S!*`NV!Iuw4&*ZcA0#`!wkH$P&nZQ zmB$1o3@lW{JQ&7g6qM{Ep@Kk^n629FTj4F;@JI*UlEy1P;&aZjP9Krw6fP5uy?(Z* zdz&W1v@Q?SkozZ1!=+(KbwFgv>83CKxYELyG12F(*k4 zY{MDjyvJExv`*Iaj%Zo)4VmdWT0T@hG>8ImIJ$6bCYzQT&wkd?q*xuBkW4#1a-6PW zB7JR@bu88+9q`SB*QchqOdDzzqF_SG0NhO5S<3i_W-{KZNq;x0M82pc zIQO8fB*hDH@!PEFxFFc1lErQ+xGe~6pAO0O{O_|HiUo5ZZ zFD?}_-B#cR4y8Au-~5LgC@F67cvc?A8FSw9kr|C6)kgkNdF1)!==$9`b-qpYY(?|( zRI}MWc9Esa1$zk3$U`=Y7_#q4K~uXV4LrnTVmLC$lotc*E;wDL37z+&)P(_R%poMk zlN%J>ihmW8VEUs`usUR@@q*&76CoPSV(204|l012xHp5#4gIf?Y+L>XRoS3)|m(7C|$)0m!3jh6myXnHJP{QL!=PJ>BLH zHBfKOfq9X$Yuu@AY%$Qym!$0n8S7H9f~z%B-Qdgk?-=gP0^(6}H(uTa)1fh{p@os7 z_J!fu7Y^(_yCSovn;4C{o${vgp`bgF8gm@K9rBI@TwzECw| z+iv15?w}rS!n+q`|lf2AQttS-CdrSWEjEl2osC;@0 zH^m@?Y${UG6zx3o@C(t@m631n4wdiE;|m80;^tGYL$rR)UVVLi8b|dgMl(Y?#_rAR zE!=u>pASpu%6B1fi}TMjOqrH-mxsnqQ#k^@`~iBIpFy*u;@+_?!e2}i+%Ov#M*U`Z z3Xw&09FK& zj@A>UK~xC)nXA8uo6A!Iu+7%fB7-v{Qj-aGI+%?RM0L>I*@yDoCK4jGS-tBQ8_!*I z2qNJtQVvhvz46mNFy4V9dsKIBznrv8twU9=n#k4wl&>C7t;+U(eSgZqm2!nL#`7i+ zR|i=QdL16vS(x10Hv4$D4}QhFHaZmF*z+7%wK0U+jLRyY-E@XSsj!q*wf|6{H@UYD zj+wwZU+7bSyyhFsJiIRa_z^waG`-Vc`->W+kV$ec6HjNp60ye_GDc zjfgkUTi`3rcFClT_gya)iHQA|Z1golpGJA^3GU;S+Iguw#HGz2u?_J3j{ayq<3$!~A^IBnR zFG7lx61+3wYv`-A*YRt?hV8zI)xu@YLPs=a03%w0(Xs>Gaz%oKNF^dw+0IU*kVWyv z&$EN8b8|=WL|;zO#2P)Cumyg%EpJ+`leoweIu!p#Md0kKzgBDG?c|epV8_unfqV4! z^$WCu&3_o@Upo}99UvufcOhQ>TaNRU_A3^WbhyQ~gTckps~M@;yH_`@;b(b0p4`De zL;#-+UfR3aIN~kPMAer4xQTll$+yJsu6%DBRXjege>HfiLgmeuW0^wiQbet;Wb|cu zUBx1_#S}Luoh^1x?wwDtYu?IF{=&uTMJeIhzfgrp$%YQ>;PRTP<(O-~T2m={`?P%2 z6syp_yy2`_p-;TY)gy}33aaxXx`z6BF-)?_bz$pJX26G4^oZ|^GU6C~FT zLePDKOqstz#dq}YX`G-;mstGL21X}c%m!a_MxppnW0kC+QLl- zvc{46lP|NwcbC+^NL5`44ES})+1V1ZNi&g_7z33%gPq>ViLhPIL>WDdFB&& z%IF)t$Pqh?bBA`Nsv<_2QUyI;X1rX9E~gV~rMl#FfiX%>ZKCB`Oj^Ml26_g*8NRc# z*%0;p8LeUG2EKfW;5p`At30lb?fQ(qm(}Si4+UrAo<7@ot#y|d_BM%j692};d_1S` z>P@;A&JNbOVU3oAWf-5YdtePyZH@2nKG~f35mC;oPmjJeD>%4fwoYBH~Y~HB=VnOqM6{{V-$_daHMsHitaeR-&ZR zW?S!?UK3-dU0L;OwC97aM~LGHX@bb2bFY}cNSV-P;%MQeq*trp(}I#&M|2*e*z_sn zQZGZc z;_DpQYAdG<6$kcds)EW-y38^ZVwT&~xl?G-uWi155!7zx6V1sINhoD)BO<4*CO>Xz zQz%*&6iL34(v=<8lE=l4r!i=@Ac}p|Q?A6KI!Z^U-E5#-xiuiEN8gsdupG45e_qgd z1WX?i<&=g{;z0zF2~pDz?0_;-y?cuaXhGfsc|0hl$PQNNsFQ9O2}1bL@4m5NMI$*e z_ykyY?x8G1c7J(H_qw+AV((sCADj5UPOpW5+hS?CyX;fJh%c8$YM&%NFK*DQU^b4I z1(+ydj;*s}gcSXbu*?l(m;bqGN=jmb!Lu^E=5VbBoP|e~ZY-=MKp6h0+qD%JJ{HC7 z>iKHcY*L<8+m|OW4C>axj-w_Q7S*#bELPM=3J7=iDjVd&4uU`?wj^u`!fa&ufVacA zqp6@ogH~Y`z%K`Z6V`zx$Hd!S^vKte+`T>?OPU-ML0?|Yt;UCGhJ<^j-uPsc=*ZC4 zy8YmXdfBt;ed~#lhm;g25a$xG`h}=1HWh2?U<1=;9auXKH;2~~%-7Y^Q&smH?W)xwuWgDj=sIsK!Mjk!O_-CxSl|m90fC3uT zaou4vdcJAgC}`E79oKZS_%k{d6L#3vMohEt@cDV{04}r0roqIpm_FfCt<&i?!d~4ukMv>TVQ-tf}^uitg3RHrr@UDDOEq(tPzJ_ZhZf;+1kD4NFQ7r_J zM(C^3@(jVT(p84uH2%4REz2Z~g6#r2GbL0LLT*zu&*T$T>0gpf<6M>8sSOfeemvOI$FY>p#IesT_dID}rx+F%q<%l3SYU<#IrN2WAhiLaEDl0ltg zoRE+Qvw*Suf~FcnG-)&=Y(Li3rImT4@>3vSC+<#M9skb<7sdet^|Fu>8qh|LAcpKX zv>I}@!hVCVFWXTf=`1d=6ty7Sz>AiXr0g)GQPN%Ug+K`pT$Vhl7X=cPr-n{2n+6-DqMi<_OZN-#~ScldwoV}ZcW4>u#-K$Nx*le7w<4%9kaLAQ4+ zn%7d2DbfL-vsSnm8lA~N;a`yoUk$kw7`QjWlSiFYmWZm>$rulcX=45{?1JT`LZrBbpOE*1jimA z=N%2EcYG*-$5|-Dx86oX<#q#X^qe6t$84`7QMym!=2!y-DRoi(VaB<;zl}1r0Nmx8 z&fJo2<|K^&ngb`LNQQLM9oO3tfmf3&uzE|4OeLz-l#Q?nsd%@Y#C-w<%nzoBg=$%ZmCbS9#Y>Nie8n5EndWCodeewne8`pN%ft=M z9%MwKvd|93g2{z$WUNA>8Egq{En`CJYB)>^;E^#>^YPSz8|9sER%)JP%KCxxJQdD1 z+mr@pmSU*wq-Ok@s6eQ1SStsBpDq#nFn%% z$Qo%Snib8HKC-z~SQWs8;jd_0?i}VgFmy62ZcK4fN1`XcGF@yxh7Khyi?YdNRZ^Kt_#LxLOG;L z7LYa*Tn5n5=oZoqDN!~mX>H>M;+kX4gft;tEWA5Wj*zB=B&#|Is39lvTEpUP_y}RWPH?4-+d5nGckn8}4!9pSz zk#BHN-BE&cHhX{*01mZ-XoxM%aT6c1sWP_Sa%4W?=q65yu4aG+nJ-`cTDv~jyr!BN zje{}``)qRa#Dd$jD?g$`t9J$pTGon?96^EY=QG&|8f}n3Zf{K3-1$(2q@#QVt%{z3Khxl(9 zRb@A2dHF4nsL;e26x)M@ik_q;pM!rB+Wv3$Pl}M+FG?*UQP-y zoN6naqxY@-*k5-zK@hUkPWP3z8o;~>w$77Azti?hzrk1jUaKOw9R{2Jn;W#XHi)M< zg@~-)BG0f3W>I#|2E6icF~(4_!WICt4{fC^SkuT`jgq%0n*?WQeTqXS!r{Oz(Ik7X^ZOD zBOys$#7IUi+&cHj+lc6mA6|c#j|d3t?V@jdz7OpG!)CL}wQ{#LZxV!~b(h;3p&h_e ztoU}j{oqDEROANO^lKTrh$C??N>pjQqc=Mi5s|4})d#ss{1qOckGn+v=0w^GW1L)W z`aOSYWvM5N+g_2sY>B3>AFm{|?F|GngR)rk_-$y-c-TcZd!UcJ%Wf+b^R;|fP0*I@ z)oQ+gr4GGsPxMpg0K`*Vg@v$be*J>G_7a>xskDIsM4{bz&CPEi8>K7EYB_#dXe$Kk z1b+V_tx??X={4@DniMDs_1<>5d9ayt+4d+r+Vkl4#U1L*A3(b6JNf>Q}DtzLP3)WaacMvyWK?DxmDt7u4DsZ ziVJ7@JgD1a`w&J#_HAL%=)i`_Dc`|eRbD_>LKbbEL5(;}5YF}3e~B&pi@UE1{d%?Q z_voZMPuAzlPKuj&DQq!Z;t2mTHt_?+@;ex&xqfXXp7ASQxo!5O^02VV{`JF7ndoo& zR>3-PH>su9VvGRj6K_^Op#%#{nocY*|shH zNe^Ev=Emz!vq7f^Xi$;yX8IJZY3(?p8h4Wy(Kanq;7trT9}eve84Ld7cfbn}>ZcJa z(CGIpP_|hb9N6t$_~=y{^Xo2Z6o!9g|EkcxrPwe+_V5v#VcSv(K|noP?CbDC$2Ift zIy+G3_bXSK&lS0K;P#G2A}o-y7ze8tiSHh`PX!J^y+H( z<~W@I4%y*HFqI;ZBUcU;LR_m{+u0L1wrU(+En82>+RT($8gRmE8Q4+qEDqoStYg(y3@wgL!>EKRpvyXu8}h zl>Jf}j<+D#$QNljxNPEbZy^w+-Dcr&_C&dUV-rBT3|BtR5YV=3U$rLPK3$!3|HwH) zITBS{Y~&qnKLB64|2aCfwCd|l!UsKn;|kBLP0Z6sg|UUBegkTGfBs+4V#^_JlQL|N z1n0Li5BoL=SlN`T00WGSCj>7^5>HzwDFi}_m&+2Vvrcn{Hros4#lwvntY3{VBVO9k zPjuOoTd9W3*t2EW4X1^^@iY%ld^SNYj1*bD+Iy}b@|maKTi;cXL^9;vMcvZ5)a8JZ zg(&;s1<1J2)yz50CiUAJ^h@8uJeR&0f4QMv!rBnF?O{y9llFSzq-f%W)Wi{(R1QKf^ z@x{f5$w3fQX`8hOYG$)U5i9*%db9$8gHDf2sp)6hS}AHYquUnii8HVepP)+Qi9rOK z60O^M!4sfz2vG!E{clF(h(ul}1GPsINs#n|X+&faj5w^y7TKjKNp7}2qO&$wk=7=% z#ubo+Q18(DtWh=+wHUKoKHT~v9!q*>svQyDc&EQqiH$@aBg zy;5vRo^TS@YPYoNZ#m7v{VvE?j8E1XBX76dero#gm_CxlWHM?2USqJOhGG#Nx_b@lu0$_VFk(btR<9K$!aYLgM zZgPhNVy=myrgYV_r5ar|%gdQ6LFe7T5{}o>Q)nI>Eb!{cr$iGR57&}y2RM*lCXnW} z$XD1vnR}QNFK{oXRIS79BynIz5q>+E%&gA~7z#2tmO8Ziem%N-x;pjhqPl!uO@M(f z;r-yhoYHwt#O+l5Sv>l(=HASDv-k{jzl$?I4HO1f-oDTLK@zU(J*JyC$}1hl3--3h zg-nIFex&+=vEQ{R@~a`f&(fvQf-hr1p~kL-D(2XyUv8GKj*gropLC(Lj*i3-aAqZiXvA!MfovVbwInYV`U z<~2G`KJ9ZBSX#g+5eC7TPb!Em%)X}nhIFjDOu?XH;mm4gL^X^!`c*5%G5Mvb9*HLu zs}b&cWh^KPr{~bgFo4;>=^I@GJL44%+nc^GG;$6imJaNaK(< zN}-i5It7J^7m1UgwhC{3=c^Kh5UC2yXRxoc7tmLc-^>@BOe?GttVPcgXxy7)RNrf0r2f8s zY*S(0s|f(olr!X`pi#S69*J2D|A3io`kOwM zLxn&k^B$B*num6D#9Ows{6nHZWXY7XSw119in0~BC}KjSP_d_#f_iw>wF#BYpf4<9 zS~Rx9@U>u-A_Qnvz&Y~mG>?t&LBf&@~;8(;T~ z!+UJmPwGk&g6%Z`QkJBQ&}o$`E(hq5>&VQS{qdz@9%faHOGYX)8wMkiXErnQ$4)vm zrMRK}J6KB3Wh*Mp$~rFkI^G%`l+o`WUypZ>s_MLZzTJR_CigUAw#nTtrN`pKIpfK8 zhC-+|Y%OvWg5E_9=dC1(^K^^hZiO6#U@d3Rq~gd7cYdVm?4kTbUkOK4NWG1!4>uSy zt&+t>a?paEZhC~EEp&)#>3Gb<(zM`6(vm9!<+Q0(&xaeklM5Ga{mz{T7?=LdQR}6y zcK_=7{b!wP{}BXyyFs@^^8AV3cT2qFs8igE?2`noasT5>pV=&&JzuBipi{Jd`=-|V zZ3^v}M=KB>*~gaA*S_faTbVIy?`E$uso9>r1?Az4GtF~VH5WblHTvQgzl@PQ@yxp~ z^9ZR=yQbUoeVl%My80FWZ>;^dd#9G+_si~fzxKb+fY)#L_0zMN!au27Zxhn&Z=FoL z_Nabl73)*~Od@Wp;dBJ97t$!^Asc^-pmp_D)957U;ILlj12l@@lFMo(Z&r(-Z;Gix z5MO07dpU>A-sU?C`JE@Vi2m#I#3IQIJTQ&!!nf5W;feeIuI42|HcgzJj=sE^8s&+` zQ+P;px6&p>h~I0M-p=K1WL0oKvwU66mV#IxjOENSh0#gWnlvvucX&&JD)r$_?yH zqGh>QVe)q$GrEwiVBtux$w{mzwdo~IOIf9DYGI6FtdM9@9X*=9{XJApjG<{eg-%YB zas6=rV97`ugbGbX5dQP=aWm|CAQ;)tL_karR8?+{6ca`X>T&oC@eclHPj-{^I(pgwAS}b#jX782vgTNN^9_p(7l}7lrpdyZp-F&z?%8=vd%ObdB|YuqStcn z0UL!CdX<}E%OxB&{2r^JQXUv}CCJ=CRht|(s?9TV-|VVpg}a$M>G-MWWlFUTM9{$K zV$ev2LD}vW&k$xJRX)P7aQD@gX$@oPVAL(0%${LZlUHwh>Pos3o|_pNDx`zj2QTeB zvd<;GNxO3;b8KA$ZyMur4E$fLol|!vS{r3!+qP}nc$12qRBYR}ZL?zAwr$&X(&xMD zzVE-V#~x#2%{3pGhEs3rdas7W6c-$B^jM{mNm%;M6FRWca+ZQ+?rog4n>!|%&W@P= z+O9-ZkKyN_sqjum_Q)s0_qX3IOLaD=unsa>4)bq7XpvS1zE) z_t6mL?Pm8k)HUD1X7#_u^yYN0x&d8NPAkVd10zKOUiLU7_%QaGd+iBwyk#mX|Fs*X zbno3Ub7kFreZT{zlqODZs*ttx1-5DNeflm<1_!F1K8tbI2-X?YlV z%&fY~Mum&7DGiSRNRp;Dm}wki4OQCrSJZ?@$a%lP$kc)fm22j88TaJHhGPJKPW5BD zMZtw=vSYl`!c2Dh+((+@h4CO@r7Vhmio!2pX(ioA3*cX_7yGSNxjF3ZHjIX@+JY`^ z-E^6rrq{UKMm7mOQP=Knsh4I_!1kG8yP4J)y3z30GgcyXckJ<0Wv+yEzsubC@^v`V z~Ee4)KO1wsib2kAG!+cXwj(Y%Aw8!%?p;V6F8--G zu+9aip9ks4Lj)Wm_5Ln;t-JUCz-2zvx2A=36TlM(oG4@p{foeyP{J$spI_WZ$c0C4 zvKV~-kL#pRqLpv`P_qY2V+MkNHIj)<3`#mo=1`jK!jHp)3+0&9|FY$cvoXwwegkN7 zJHvPoQBz4);bxP{nJAZ;ou!dew6zppES$3h^$y!U1wa#cb9vKq#<9P(jZL*|VUkN9 zU{tMjC(A(04MU4D4Pll;CfcA(U9HG>L)u^N9CP5WplIc@Axd&m%VabdtAom@2KJx@ zX;O4*dwR>rw9-`7Oc2GRp8GKDBC4zu|BaiR;|vyURaS@}5`cctz|PT~9>55Xf?UL6 z?9puETn&RbV=a|x((Hy3Yi0tyq@V(kN7MoJ(4=`4{>X!FvZ9biXz`Cg7P(^(GdxCI zha533WO>D5(0l;KY4|KGxTtL>o1`YDBvp6|AHT5i>Jv^>25S^g9@U<9ElgKLJ3+iX zH#W_Z0I3Gz1#GjvqXpqe*2Q>FE6^4VPg+#)e!(y*+hk>i%dziFjdlvfs0W)tyE|O$ zdPuuM1!a`c^)9p_gm6&Ye<^juE=_$B@e+l`i#tK=)QB-0@-mRG>ghpt8S1pCiO2>; z)~TR)O}b#mc?vnBd@7-Lsccv)I=DaBA$~id=mUwBr_~J6f)7m4z>9*>1EpKs7m|LG z&B6rF*FjD|KC&yYW>rwUz~rZ(}*IF|HZ9I#~+dF-j&14hMad_56fW1 zuimvREq+?wo~<8oohazvrZ94pQtqoI|L+rudH zWl^2a7iyNAdR@7JqLX^@bSx=dofTU0j3$-81y?WZ;Zs(H1FUeFs&z0Ws+SgX5*uo6;=sP2rXT|lsN6SSazzC}1bH7*@v+}OBB#M; z!&JS{s5!U`&K>RExv1||H=x%}o=bPz2Vp3hKejLlCT*3m!^?WSHrY%&ulY;ZiK)Vk z)Nippu0i!BJMAh0EfT(zA~+-36a5VO59_ZB&cs8!fUDjXGA>|G34Q$NsWw1o z3E}~Oz@l430iZXYD!!5=0k9i}(3W;J)Xo_si8tsRUCSbhc2S|nOh>Ty%@BsTY8~6~ z(B#55L?7Fi;Mh7@cat;SwAQ{${jqHPqNPjZIy)wVX@QX|-nQan17oJQF53_5!u)Ai z`E&t#3g)~`X5pH$;_Z$(F`)>dM;psG(;-JN;^x9;)Pb8y_;>7#pTUB{TH0-OzRf#J z-h6B{ZJ#f#fK@%KAKS$;!f5r+1c;^N+!A3#9|((ai*cU!!HJ9oUWR^BUM#20cB2OqH6w?!R5)m58!63_ac~A^Y+zFh z#z0Ea9|14<|25cy;k2nYi@Q|mg1K0ed08@q&72hfG1yN>h0Fm}CjB`L9itiI&W}&C zmSOZ!>%W&tbbAe8axflt<~=19ShN+dk6kQN);QYgvX+ER18AC9Nr=`&g)I&PH3=Gx z(X=E{`iL@cLbf!&Pxa2S8Z<`4dWa6U-u=w6j^R(kYoW_$f}< zGTQWmQhM)szh4u+OZMQQxeU+RJohHEVU0M>gj}?k;eE*=&JQ+Y&D-rQ5V54YJ$rWgH6*_5 zqo<>!@ZZ0%a*?!Kdckg(cN*Vk^cclYW&YrV-iegHDGM{}j%rxwHCvYNS_ivX=t+sz z06DsiiZzMC``tPUt5fqpg2FBo+WQJz9*LUey1&<@wf~JCxRG^TbHiNmq{rR^IOr%MEsX3l8G%+*G3teV z7OM>;O3npt^TCB;4dR;G!v;W03h7$>B!5M?RTHsf#I%(TMW=H;hg$yFgFLE>g$rM; zi@Y_GC@w5(TT|II7S8&`LYc&fwV@O6b(2|HAkA~Sgu}gFqn&)>ecZTO(p$(cx#8@R zYnBR;fe*fLY*R~yESJ3bT+h1-&%Dp0AxzF0#NSYK;Qof*W@4{r^MAYUJ@*kd9wRrv z&p2GUFexvh0ts=1MimRUaRF~n*eU7T-Xw&B)7J+r_V3=0rZ64|#+Xr8ufi}+=e!41 zCZG0MMY97ENI6b)v(E)JbeAYG6Ic&-hmKbAiR&>_w9&el#k#n(f32^dkV>8h86LeW z)7*44LNmlzeSSio@S&}%rei}jV+U|GvBpUrQ_=O?F{a2PC!$BfwF@isJE501@!X4D->(%=CjPG>KOzuIWTCLS3=DVibFc2jzSiw zE6A|Tgd5*gr>+tgJ{S@;5;$92kYw?5_Tty-6}h=#Xp*P*9a_C*DFZ=BDdqH&JT=iy z-H62jbIppx&@-;*b&*RwT3<%s79~5L&wH29V-*JBC=EfQN5#8iKu!GF_-`!|4RvUB z&hVMK^-(1X*czqo28I(|H1h7A1 z9>4R?`Jrp!cdKN?n0M{qB?}>dcJN%QZ6gePiTXM;|JN{#cyzyXbgfRP zo>n=Vr>;J%kKNPvf(F282n9Z^% z&tR-BjQ~#zaI{R-zm=$2k9f%;%bB%x4KzU*aE5C)oj9+MQOAfWPAl+h3lhjf(Z>67 z>L2ZD*E$-ab#rjqIUJp^R_2EFJ`9v8cF(x^%RQofR=f264S>33=~gh4c7T|jz|`J< zjb+wcwEk-*24NhZ=t3Xxt-cE|q^RGvZSibFH2$Dwcnxr!+4*3I4*EFVu)ZSToz)2L zYWuW!r+86v3(a5Zl?WLKoVK9P8coU;aGs>y3Xh)?Jc09{=y?>?QV7`X1y5Zc+it{81D*EgrJnOsK?st z@;YstBnNJ3rZe*6SRYel>TAo@2ianZ;3jvRB7?;xX-N;E$Z$M}2(%NoX0p~_Ewffd zsmyMc)q>Q?kTwKR!)qhIE{W%5v7_@%k)51LD|?JWRIErS(Pj~$-fTPic=3DbVn_Y$ z&K1cyde>_c{`ZOSjQ?x{Hxt*HVmk4%diCMmkMf_p1RvLe z0mK()d&1x;CG^jl1p~wcqUBmC9o0@E3CoQtpc`d44EW&atY$u5uLZ>t-I)-hgItxR zoR1ejO#=2vvSP1~uA{=GX}7%o#kN@~RaU`XKsZ(jUxn2MUg}K#ZMK~18(Xj!y1=BI zS$A^NiNEzw2WT5z>R~RAvVK{Xml)L$9D;`+c3Dj-!_B=3zD&H~ZBw3ytbVOs?K%89 zI^RYRkY+E=_saK~yMT$ruGdPbqtE4C1G`!n*2R6#r%LH6Nzqg#{a5%>_cN_FSs5>^ zkQJVmCWiHM-Mev$*>cjM5%R_UaFbt43RRx{^FV1l61r!x!OlpYEDtcFW|CE32FdFs z7p=d<9Lui8fTfAfy!O3smM4`(9kZ=SKLh%%r*qyyh~dTNX^W*B*-(kZ9Q%q(pM?qBJC!K0*!?z!csNy&iWgyb9Y1~LA5o}C%l2sSLAd^^XlV*rCbxo8)zlYHn z$9z>-PMsu*{YE^8=ZJzn#crokVPX;kqd&n~(RZwl&CUL1k0ESWQz?hz(QP*2ve3+{ z+Kj6f=REJ2R6CU>B=2b_=# zU}V(bfTBgt+VT~5sv+wdDxw>@NdWFvmPbf^$OdcIzO@k>5-itg-&#!hKy?{qG7?|c1~gJA3*^j&%!tLt4yE6 z62XEuf#A$hO8>+^ZJSrnMHO6IyQ%a4tcpK3`*hd9+Y~(4Q{d`aPi`gL3q&J-+eX8J zlQ+d=gA5KuznDjUCZ^nZVZ82co9t~utiHdf?@m4R^^KGKJo$(v(^|greAI`b2`;JK zEVkWGP-_xZwXX}mR6)rovQnKitkKm;f13iw9!Az{JZWM!MuIkeXPXh(ICv#%x1!a<`6 zYVs}rIWI|UbzgIaBIhj#rwF|#a6EJave9fTkX3kZG7za08@Mi)WGF~+?lc0e#fqzT ziKHaDCY+>7(X1#}kY_6Ewe>-zlg@t|6>gC09+@lN2(llUozSbQf$4@>xgPXVEg?{vYFZ^7lshs3qj-Zmwh3BbpZ!66P0mF ziIw_^KQRcmc8;~;P?OrPk84rKz8>Gu4J|g?_b2az(Bb=CbRagJ3@akr4s+gJ_r|f` zPqPz%V){DbGFI*Zi54^>855M|I-Od~#?#5m%0leiKV}BX-b>%xU28PyE$rDC3ok3t zNlC<9(!9wK=X&wyM^lj@`zU(3y2zuP4tF{HvA%Gc_XT!91NHgav%58Q ze0$s4^f22$Cc%ziI(*8&bfgP~W)sgvLHU(Ng`?#O#q1?SDANv(Z|Y`zzy?H$ay(Y? z0t{O}zl-x83LLmllyrA?YDlGaF)sg#+%H<0mD8G9^kj$y%@SL6`*BK$^xBl1&Xpht z9ZGI0eDAguNp#P{NiFv&g2of3jti(vmHdg?$h)29RMs~Ye5vptOMh6)oHJ=CRw;xm zvc9&df3(sUfQ4Pcx~s}z6U8(tF#5O21}9vBxLul5;4vM_MMT0!suBok6@lI3%e5ai zi%Ulv9|K&_i#k!hox{84+}XJXUYkVy#mn9~RGM>QN8a*!^T!T@5Yy`H`>*x$=gBnL zO8i1Zayrxw!MaZ>BcVq^u^W}Jf!BN8_`#MmTZn#^`QoAkPF}m7-A&ox}_UOBkdMuj4v+K@W z)v>Tob8J!uskH19M%*>DW&JcAhrQm31M8vReLs;(l?7Qnxv^SNQcVx^Ze6tvtA;aqdu&RW$i=lk#@dT4<759 z@$Cl|Nkb0jkd-pDm!5HkpRv1^qAj!9h7|#<0i&6DY(9yzNz?`JpyYFRAz2inE zpaSEm5~4O67i5ofoR6&iToOXF48uvby1`CE@RCkuV^tvrq(IGMY?YtsXzpV$v0-oO z=4$60)RtU0=4LBqR1(hz{m(E}o=t&or12NL$5k;adGWjWhBIkwk(|7(H8r$kaa`?C znUx1`ZEqI*TuXui6o5H#Sgsa)EJG$eH1w}zJ;S81G0i5$l8=ze6CcLQBu~w{%c>*~HW}k;WQU7{}CrZzHp$`rVm5ZCiI8HW*v* zVbgteK#dEYf-FtLiG+UAx}lAQg$BB$=yoh?%}}=C%@%zr_4xRNC>Yb)c~O{{5x_)q0ezbnz+!L z$DM%7xonhrPp?lmBpL{yA=Cr$_77K-eac;7KO8vQlq9sc zxWEd%HC+#fcg@O#b9179e=CI@=_(&uS6p-sbT!gw~6( zPDrBh&}%=1Wi`KKNj$c|f@s!qRhE(vD%x#`S6sr6I*hKr>u|{X=&$m1%gn$7IY9I{8cx z5*ao!v7oXYS#TK$v+HxJXg-CjIjb)_O(dQ5?M~(VT$7Z~oyK>i+{>}LVCU<9q+1=? z^kefs8CXYdE! zMfRmHQU!KMYa?dV@CU}j%jl?E>#d;Dl5Ld#cOG@E=Ff+^=ECPaf6tc*e9pHEOgH^> z&)`m~6vuX@iZ%&1GR|S%7AVhQ2@kdLM@jd2nrkis{E>5}Z5G+#nW)m8uTJAzq6w9k zz}DX~B=a%dHES1Lae|$UqO2MGU3da5%z`jCPqQ$u-xu5OxGWTZ@BfI@-k$YwU!PBN zn9GS%uYFtokG3`{H&YneOjV6oo70m2*v6+S?2@HiCVNCyz^HJ~Ca}ugYXH#+^P3II zXIEP=bZTWROa*1Ay{-8kDkN9q{YcQ2a1Fmkkz=HFy#bl3eUfmcIOzZUBdMA5>x8B; zWoL2!!TEiHdHmkr?k_(dHy5tmT0081I|3PFZN}6_D#&{Bft&N0y;!w6OWeHseMed` z`xh$mSCv zvd2gk3X_Gjaf)|S`!wXzK;u&{QaVG+5|*PRpYLFJSx(6;Q!+9Lel#I+{F>Als;RN+ z+A15;_%;ECRv@VSDk>;Ohf1toskr1zqZL7D3FZ)lb2xul=}GT8-cDdVTrnq){vt?V zcxWz+?95N;CX8z@8tVU|Ys>xtuIKHTA?C(UezG2aN+E8oiN8^Byd?^g9Xlr-Tfs?G zD}FOGc7rh`KjKJ$pyD}fo^&yR3LJB}9$H?ZDse4`9f@b0C1-ewf=3!hNDexfD5>5E z$w^PMy)=D;~lqXL1=uCkX^|WQ=F1xH|5A55KXK<;DQ5?RD$M~ z4w(?AW?nX}XwrJpSo9!^m<1uDfQ4(n{GIlqncR+4@3FLQ*QaYuN@bm@0!1lh&Zh?{gXL#ETxY&X80LrXwR5K@WR z{cWY(XGg1F?tm5*z5T*3GjXc&g}KyZ7ZwW~wsPye9uiu%F~7s*EPRg2E}K7?Blkd6 zrQQU;JX>kkgez}uoXS3d2#T%0ijCOgCAFBrrJ-A87u2_$2aZ?PhxY>G72u3a({L7< z5K+}fsS~*sK6k*0VP%TITPt-UP;kmtkijet<8ryvZE|>d7VCDlj0yRCAuqr?d%j{? zh7CJ7IZ2K`vU^ZYX+xBAQgO;buAjz+oHBu$xfm>F{Y?fiX)F8@2K{6=)IB`AjW3D&RsljaIj&}~u(c!cvW2&a7kQ+sqaj{=`p_iLv zj){D1d#{TxQc)a$T%qpw+W*jAQkt!``56=L7ou?| zqDyd0xMR03;Ih&rV2jF6{&nm6bm;w_zdxL~Y6iQ&ENMeBrdAP@Ucw8p5s?G~=@Ah` z5+Ej&TAFn~2*h8v!ZZP7cWd6>okT(N*8alsKR+SWVOB;(O&(W)UH&k6LAQUjmCx{0 zuu{%HW?O72ct@&;*Sp$X;TaXD_8{E2jQ5`_1rO#(Z$ta2#*qX;qvJeD!nly3RofT+SOTBzL(76 z-WG`GG^YddU4|bVt@Gqgz|xY87lm6NQKe$lDRcUOaF-~YDG;;NF^vZ(^9=e zplfuoK})cD#Fh`AYzUDBxIjntR&u^9BXVMaJw?%4yOn$0bK!M480SGT0xBKqaTjx;g`lugrq)>Eh`%|Sr z%I-6Et?H=uv!tjX3@PtMl5DWvzhwd=7nnWzDYOBfQidQj#YVge^SV#vtTDq2Cwyy~ z<`@dUV67?%VWY8W+{GkGTr<+ghtR*;X5JfI19kcuHQ7m$rA&kX@X2%Qxh*I7aym2X zjieshMI_tO;q7dY@_bHuBJup6!g(ZQK>u@{;N?9_NEKQd=n64470NQYyAV?qH zbXF*rrhW*9IY-J@&e$?3UnD25=bK1Qr^kl}`dnJKx=!(G_2wIyY9V8lf$66ZEFvQ# z{ccVr#>g-fu|ARB2t>+*&v>0`8@s{aJ=2>T%!Hy+n1o&DkG6@T6`|E>04d(s!c4}Ia5FO>c>egVqjWs`iL1nu6v0mT9=PRnW2MtoJfQZ zFKL28p}Z)P?%%;H&9E{Iah2bCy($>Lht~fH*W`vE@~Ky9zn5=ld%Wb2N4bq!77oe$ z9KyFc4ufQDQvs`zu!4OENF5agY32wmwQ}srtx701Yw7~#@HQa)I3aRnE^-DFr+SG( zwqrl+OMQ0}q(XO}pDvx*pWmCB(pDSN@EzDEK`fqUB&5%8hv+C0s)Z**DS784WMX!t zNq@suAzz=}&72hT2oY>;3!p$YbO2SPR*mWD;dEAKCPC#;aJJ=bssD3M3YMk5v~nNn z>wmrh>_g)}f?1Ynu>*WywTl{|96@A1>%NRE+_8R5RfrPUcA4^}{(^c02m=SsWe%=Iq80JdzG zbobycHWl*OZPIh?ckB-0npgEmYlU<^)k2{uLcYk^1`Vz;!Vn`sQ!WzTv}s<%6i-*Q zc+hy}Sh}v8CVA?ZNkeCQ4ZLrN#N;O6?D^1_Mhps>l66|S|0xb*(PR_B{umpRd@OL7 z0}I6eGa^m#%P!lLJeL;86Z_)`h*;bGFRHU!V4VIW6gwOUIjjMfoPTclXk75^&A{BQ zFv0)wt?ZRla&DQ1i;}4px5LG#pO@XSD}p8G*5qtOyo|$CkD0O+hTGb5~m!Et=_%PlxH6aE+KN3oE41Dm|$;D*0@=^U%<-nim z2B&WlMVlUnCy^bC7cGAQrH|lnO(z|CiM2uIPSz;8t&#k$`N(;$`yY(T>BEZv=#gP> zm{i^EJT~o{2ZQN8|1+SzTfcDgy&efy@u8%yo?Ty4?AvETWuh1ZI3CoHS}aIK5zgX5 znb2zxWd$YP%ll2@!Qd7NK2NNRnSpGQ5Z~Y?1jf<`T}!#X$wJ}k`GFqfQ%wbWOkb)d;OJ}a@+iL4?lWn{iUlt zXbbv>H8iZTAEsNL(>puOI37PNVJ6pwqUM2-x6*U-*Wy77Q36XD5gNHy!x!8zVmfOb z3LQw9*AiW(sx4g(`i{g%c_>TVGK}qRd$)e&bgn*IZz-83XIhP{1*-0s^%8(+(cN61Dvo>I zAg9SFXhT?#@e6WsbpxsUw#pclx4|6+`jM2#qF@FV@In^X2jQZ|$*W=1!3ka*UDR>e z8FqE$_n1#@ccnYn9|L}mK}u)>R0BfNV~HfcXFK z`COuQF1F5&9{=B_b6xYV+tPBT&N>CWLz0*m`v6O)cJT@enm1NiNvo+O;_q_Gh|5OH zikD!}J}CQ1A%B^)j8tSBZZ*Uh8mE?~&A3L>}$$uY0(^`Tc(P z?xKa*dCdf)g^c$|`z#vzFj&78S-uX%tK#j)?WHjr^2=9;-lf9|ZZ=ufL*R=<`F-EX z_1GiMS}q-Oj3Z_YdL?_yMlS7dGZd|@v)>{@rST6izNNW+F{sAWPFx^=@$!)JLnD~k zMz-Y+cJ26Y`aGP46W>EbH>FF%Nfa=?HxlF73Gos8p`C{#-%HVmq#tSZA%3S2d%s=i z?|G2Eb`B2SyJus=jdYpw9OBCK!6kBBgCZKuhyl_Cx+$^`hlfJrXok9$rfVB2 zCIF!S%icQ403r61w_i^F} z(d6&2aTn5&3-*qZlY?t0AIR(505ND#PG$nl=!E_rnK`pL4vp>4rNI9|UKs{$55LT< zL$<^U=3B_6#N!mLc!5I*>p8wp7)E+56@+AJI-K3g>NC0-s5poY>$yx|fKAP$h6(S7 z&bDRGK@|U**AwIi06QCw zdEEtTg%b=#4gWhQ5k(9ktv{sQa0tFEb;+B1wFes*MsE=@ecK95IjKucOwd`#F|P@- z&C6&G|2k$A>Kx9%9YdB&Z=YX|sY=I#w3!x_zqy+a2{3(RYhQ#}tfXA;zDLD#| zsVx9v!Rv?dXzP+`05+0!rp5SKmrPf3gz$GpTpvf7Q)N=bl}g-t5t>1b(@srYAnmp4 zcRFi=B8M=_oVyK8i6QOCP3j4O*$OpXu@~#L-92JTXwavuH z!kCIck`5lbgh`nEZ(fIFJ3l%}Ush_%pe4Aw!V5lIb`Lxkb)7y>(L6|OKLOpIZcV3o zvYIoq9q2}>J>GVcDpZO3PJu2z=f-Uim;W&6llUL)0haFB-)5V$E$$lNjhOte}V~Y2%s8 z$?QkGvFxqk+zGrg#OXGCCSM=Q`oq4pfHh`g%(4D8I8TcO0z)Sg$Vh1$!?}XF@21uJ zI}qfP`<_4KnJ`P|AEh@HMs(m79Z9bj@V*Z=60xs?*h3*e^pA2IBl?=4>6m(z^bv5xqoe6u}3PBe#GsEQ}3ED z=~8(18c>+gK9hk4ti{ld(8gKx`cQU4{2-I?(cvHB^U7)bg?$4IC0zcDiZ`+*{-_DE zC|wEzo|GvR+icEFN7kPWIFl!9s+4@2k)3C&eXrsynG=_E+Ia7|JKBY zdrBg^xps^id-iyR@OA2?+g~6PLnzm$?wP|IKpH=&U370Q(PKb4ww#hkaGad&%4!G|iV4AO)l_T#N z-TBLY-#)RxsoDKN_$$EDR%qK)e&0H$M}&(1>7gN`LPV`6J!sdQQtl=uf`9OkLWYEm zNahoo&pQ>v0SAtoD6d8Uh(_9)x)zXHuUT53DUUk{ zgV-w#u-li5HxJoxawK`J4fY|5T!ws>6uN>Zc-^F1HZYvja-=L1j|+wR)K&aTuX!^(c`da3oVnVK0d@DP8^p26H z=xdly2;M+2oJ+FQTP^g!plw*ARCKS1{q^z7=*~j50i1gB8Bx$jD-cQI(3z8yP9VAg zp04Sai1SKfpl_HbPi-ii43?yIZ8mj5_kSE?J{dXh2%G6aNv^11Ukv|j=q`jx+iaTT zy!;!BkF}BRg-m%#w~87EP#?!G6?U+PGzIDNq}nx{*+5}2KhVPuzE<3pQ{Gu*IqD;R zlRfT>9+Z&lZQz25FfQ~VjDDV%NH3^^6nnNdQ!0Et_X1U))BuDxoMzr$1X=C+it@43Fos(3Ub6=SLYp*fd0+q)oiQmGMMA*Uvm?SQ=p%v<%j8 zEJU?FI&ba8(F?DR@?}n>vJt69vb`!Mc&AC#M=gU2qQ8ibGnFG zH8jgnulJrJ0 zSgmr?)hhm#m{T@&e11O6EG53{7j3`v@JfIN`sp#I61j;TCdR z?(bRNDej2R|RfB(V*~=y^GE3@!!(b8FTMO!`^@k zFmnTmLTpJCPYbh+$8~tnu3!M_o1j~=$3-eZp$VZuQ8D{X8<9$z0;#KG;?4#ocN6AM zsSJ<-)N!(xkoGp6EM8bw$#>-})evY#0r}?X@Wn7jK=tnk=ZDPYlo;!;6_D@& z{p}Tl1l?O{`C@xpGbD7?mvYo1a`?OZ)6{oPU)`ROT z^0(NqTbiqopoV#755bH`e_7QzxknP8|HNxSqqGVmUTzw_FSto|% zf$77pj#x=Q(6o{}fmtgcsMAxS>KKO5reir2p1}|)R@`{Up=@?gS72e}N*k}$(kV_> zIwxUYLWqQ`H@kEUot1UyPUkpZ{UOAJV@+wJdakAgoF+tdylHZ#We3Q=RN*}_<)PwO z8%~6Mj*g*`V9}>3$(rIk@<2-?KVuXW!MIZNjV2OKPwUk}=&v(CyTp8_V^5k$t)r*R z%~zEZ>qz&boy?$mcZ!Oc%PSxl?zcDCjQ^su0Ji#ydHoV3eOUm73fm@IwMPATn^Mv{ zNq@{PY27t(Mpy63f~lAViY1SBSydJM1l_z`C;Al{O30*`i~|6o-;_4~ms^>a?TQ?) z3%1B(X}+$C$Bva=%*XapU%sSA1!A_jFg*q}C+;5`haC+h0JG1lu*ddmaHXNQs-ii+ zEqpd#^$S$9Z1lf-#5;94S2REJVnKJmeV(;)uq>`*ikihLzw8<{BPh`2a)9_0M86Es=J>h)a96j9I%8%dAt6fWOK)-__K^51B&6>aro$ zQB;ihhej1M!E~ou0QS35ZBOhaa4Fh3l{OwHgLH{v$~Zkg4@dxoNgWwXd>Y5Q@(q_u zGXM0HJYs))xpjD?I?v0)^GtcXH{l9gF`@)iUitAMx2Q5o;frVJ#GvR0sL2%Se z23&dFszw<&N-If1UvCE32q-IN+9!2DKo~$MHWE&klax5T%YOQd6%r*-UK10uo>~DR zc>gr$(z5Z5Sw=k)WO0FDXd|=_nN%9yQ)!I^qf#0^zxb0qFz zss8-c{!q#gA^;5quiy`pHn_)f?y-h;+%TD8 zz1?RZjGrn>9EOS{VUTX70QINiY$j5e4T}>F7l@N?3RADkzwu|DNInC@u_AX6tC^jnT$&2{zLnBJ$S`f z_ygZ@u2J!;-&XhQJ{nRUd+Y|AfYh}#othWBLlyi>F1aR6UH2|z`H#rU9HE7Kti~CB z@;~Kp4ggFP)6kC~9&^9+g5X z-8~e62LX*Th6Gh6yi|mA#^_=(EgJUj)yiTnTT0S}Bfa*G7xnANrb(NV1Z`uk)Xa$R zH6jtdr3=Si0k&r5YjNLl5IPk68gjYH4u)C`iq?Tc@;BNw4hGzb;HI z!SBG~ZA{F)8y^PvuZ%IMB58t^^3l~V;1%8JPs}Zh3~Da;6HNtcJA76r-&QGG$M>2i zXW1(JRf1NiQM{i``@#CulaI>2r^-cnXYmlHYJ%G}g0)18B~EPxj87IwJDm=VHt3`6=Vz?$ywfM4>!{6ioGGe}nx5{jrUy@yjEi9b zb~UYX9WqZYg|)kTV%zrun85{uHBevwvMjA+V}(}^i9E^?JuM#tv1H=Ej(Ke&E?cFL^P2SpX%WpA}yg4$y{)c2&Zyjn)T zyPw*kE8mGc9Q0yMOX^T+Z{a4Q{j6X+Jr7imyxOjcdWL3~Q19xx3Vp*NikM^UG9h=3 z67p=(Q6ivDaeQu!+t3sT%aG<0@zf5yxww`GtKpm|#DaE(M=xNm;Sq^QEgzlCl?!)K z8s=q^x;5-{3{45>F*WcW%j{A)u8(m=EXP9PFJY%N3T_Zt4(rNuXb4_k532|LB^L{;Xiwk)=BuD!KOX7}NVS^gj)#?rC_hlhHYG#|k-jQpE49}Ufz zZDjx0)r|0E(=+Q?;A-0-w^tqYmd(ODW1UL(eOG*Kb@ehRA6CVT1wya>ptf~+YD4%! zX`-t(oEUy_;f^+KuCF88nS>AReaLo9D_eg$mZrI}fUKc>U~B>D)auSf9_+24d48%Ym;OYnB9?6J%4)Vv>p*p}447C| zO}{**I;HDzW?{nC?$V7Es38I8ev0e#6mxljMO@L@`K_1B@Lv@)V@SC0A2*TPl~aoI z`18ChAo^|76*2}Gd@C6d!8Tfb^p2V_xbt0&jQhX!>5xm1)8`}&0y%+ z;`=}5!B?5jIcmxdFl)^=iCwd1($06ZBt6Us%L(cpOhQay@63N%P+hYk$sb-!9MaRz zAvS+q*Yz;;^nx8GO%eDUB}gZN1)1NdIMD6ZC)a>sdF zXwJTn(LSP2%oN$GTZzaC+BABb)I_i7{=>#Q+Ci=S5AQ10@`~`HDa>qcf7QORP_*=f z-b4`BI|Uaamn$9uu$ng3b39We9&?f^z?^h*LeZMPea~<3RVq+K4we~)UUD!I@b5-_ zoFB-(D>VL$A`YRAFFFf%J|NJys8>3z@`~zDuR&1>vQ>6TA&}kS=GY>*>>YGh1+206G^PJbJ4^q#ijP@G` zG#5Us^?$~8W?Xv9 zYX@6ma-`3>Oh8ML6g-qyjAP2gKim$8V^}*1be^WpMd)|6bgJ0M)vQ-d2l?s|H8UKN)~!m&k+u&yYH?1WHs0_`Fqk?(f3mCKi2KX9xCh;JqpScfCn-T zFGq%0&yjm1pyuBF1Y+3qundsyu+PJLl`uMXf+kG8?8Eh-4Ir^P7kFDXj#K+Tk7r^c zRkshg-Nt;JYOp2Lbf;gMJIyZ_I-_K6K=w^{N_0|Ku<|k6%FkWi_q6I8j!)3{fRSxQ zWa-0R(@BH4WkjC?vpokkTd`Ef{g2nJ@$2p0_iK}z-MNThWL z)pMsa06J5sXExtPS%BFovkR<7!A++(U!Ux^1A?+!0|m;cJ?ub{U?^u21|;6M)iIs> zlRHVeI!Yn;gFW)|FnmZ_xSxUdn1@~>DwbNa{?OgfkR}tB2Ih-CF+GqF`ZEy&dmKd< zawLlLjb+M6QfzoBmcSSx@8|CPM^cZ~>Q-;v4AZNx(eA8~Gb5?DivoFa3C_@OD;;C! z4&G`=CZ9(Su~4;j*wi)<-%R+OwaOZcWaL^dV8x4MW!`yH8x%aK#t0IxY~dc;`En>a z`sjf`5Tn_lPYnw8f~{+jh>thilaD{)k|;E;;*r@pFX=Y zRQxaZISjB8d6&&IJ-ux3FJvAW-d?`15oc89#JD8iy( z!&=LLUem<6hRD`1dp~dR(&qN@x4m7PZ+0n@wjbkjF0-zcC zPc)}~b2+*n*njCDNX%xb4zs3Q=?I6L#p=S(DM?q&ZTaBsS+pVqrSuCS2n0eLeG?x` zAxm~9cRI7>R#$1A&VFw8yJ+PfB72SU(c*(A?D7t>I>|FzybDdd>%-K_7?#=m)VUD% z!vFcf6Xkb~)gTGthm?-?&i9c#>XSko{q8RQh55X2q>+m)s`7lFSbvTZ8kqG?lQNz>bDT zgX_6M;>wzh2qrhhq571km84=q>EP+A1|BgCY7w`7$<43wfR&( z7N_USKDH|+qzA)H4b{fFx@ge5#O;|xF*~H#CnVdBNV-+VNa&tvg-|C;|YU}e?MC?tsybhes*YQ1zU#u9=E`YF5^VJHv7 zuGh@5o+ZkCFg+h|ypwW|BhRuL^*ImMOOjwY3v2Q)tIfkd{!ZVhFN5Iqq>hB>WCW#7 z57#{sk;jord*9rxGZ0@QLY|m|t}U_>NO8zLE~dsho6~l14gZ+Ua@AUyf_mjxVLZk+ zZ!#17`+asqPr_=9lWYEtKSk@8r)jhIBeGkQWX*_L^ETlP%)+G2G;;1RQ0e4bi@5070l5--lS3pfpXOC Date: Thu, 15 Sep 2022 19:52:56 -0300 Subject: [PATCH 03/11] Texto (revisar) --- aps_1.ipynb | 30 ++++++++++++++++++++++-------- 1 file changed, 22 insertions(+), 8 deletions(-) diff --git a/aps_1.ipynb b/aps_1.ipynb index d86c1df..927ea40 100644 --- a/aps_1.ipynb +++ b/aps_1.ipynb @@ -15,7 +15,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 1, "metadata": {}, "outputs": [ { @@ -72,17 +72,16 @@ "metadata": {}, "source": [ "Em 2018, o Banco Mundial divulgou o relatório Perda de Oportunidades: o elevado custo de não educar as meninas. \n", - "Tal relatório, \n", - "Finalmente, uma educação melhor para as meninas aumenta suas possibilidades de participar integralmente da sociedade e ser membros ativos das suas comunidades.\n", - "O objetivo dessa comparação é observar se uma presença maior de mulheres no parlamento poderia trazer como consequência uma maior participação das mulheres no mercado de trabalho e, com isso, uma igualdade de gênero mais evidente.\n", + "Tal relatório, diz que uma educação melhor para as meninas aumenta suas possibilidades de participar integralmente da sociedade e ser membros ativos das suas comunidades.\n", + "O objetivo dessa comparação é observar se uma presença maior de mulheres no parlamento poderia trazer como consequência uma maior participação das mulheres no mercado de trabalho, já que, devido a representatividade, seriam pensadas mais medidas para ampliar a participação desse grupo, com isso, uma igualdade de gênero mais evidente.\n", "\n", "\n", - "A idéia é traçar correlações entre os gráficos de participação feminina no parlamento e o de inclusão educativa das mulheres." + "A idéia é traçar correlações entre os gráficos de participação feminina no parlamento e o de inclusão trabalhista das mulheres." ] }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 2, "metadata": {}, "outputs": [ { @@ -126,9 +125,14 @@ "\n" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] + }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -160,6 +164,16 @@ "\n", "\n" ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Análise da relação entre mulheres exercendo funções trabalhistas e a representatividade no parlamento\n", + "\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, 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." + ] } ], "metadata": { @@ -183,7 +197,7 @@ "orig_nbformat": 4, "vscode": { "interpreter": { - "hash": "f4fc7ca4c719ee9eb8edac784909fabba88213340fb42bb5c2706b56c0804c2a" + "hash": "d318107c6815cca30760a96ba7d25a1f82fbfac7cae098cf40593e797620cbaa" } } }, From fa434fffec25f99bcaec2c35e58d9817b180efb5 Mon Sep 17 00:00:00 2001 From: alanmath <59699344+alanmath@users.noreply.github.com> Date: Fri, 16 Sep 2022 10:54:07 -0300 Subject: [PATCH 04/11] Alteracoes finais --- aps_1.ipynb | 44 +++++++++++++++++++++++++++++++++++--------- 1 file changed, 35 insertions(+), 9 deletions(-) diff --git a/aps_1.ipynb b/aps_1.ipynb index d86c1df..99b7a43 100644 --- a/aps_1.ipynb +++ b/aps_1.ipynb @@ -8,9 +8,12 @@ "\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", + " 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. 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." + " 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" ] }, { @@ -60,9 +63,9 @@ "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('Taxa de mulheres ocupando cadeiras no parlamento')\n", + "plt.xlabel(\"ANOS\")\n", + "plt.ylabel(\"TAXA DE MULHERES NO PARLAMENTO (%)\")\n", + "plt.title('Ocupação feminina no parlamento')\n", "plt.show()\n", "\n" ] @@ -71,13 +74,17 @@ "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, \n", - "Finalmente, uma educação melhor para as meninas aumenta suas possibilidades de participar integralmente da sociedade e ser membros ativos das suas comunidades.\n", - "O objetivo dessa comparação é observar se uma presença maior de mulheres no parlamento poderia trazer como consequência uma maior participação das mulheres no mercado de trabalho e, com isso, uma igualdade de gênero mais evidente.\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", - "A idéia é traçar correlações entre os gráficos de participação feminina no parlamento e o de inclusão educativa das mulheres." + "\n", + "A idéia é traçar correlações entre os gráficos de participação feminina no parlamento e o de inclusão no mercado de trabalho das mulheres." ] }, { @@ -160,6 +167,25 @@ "\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, 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.\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", + " " + ] } ], "metadata": { From 3c8361d11861144adf5f32f7888dc8d85b03a601 Mon Sep 17 00:00:00 2001 From: alanmath <59699344+alanmath@users.noreply.github.com> Date: Fri, 16 Sep 2022 10:55:54 -0300 Subject: [PATCH 05/11] alt finais pt2 --- aps_1.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/aps_1.ipynb b/aps_1.ipynb index 99b7a43..69d6e1b 100644 --- a/aps_1.ipynb +++ b/aps_1.ipynb @@ -173,7 +173,7 @@ "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, 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.\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, 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", "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", From 05146b67f325b2d2d08923c01d1fcf3220857876 Mon Sep 17 00:00:00 2001 From: alanmath <59699344+alanmath@users.noreply.github.com> Date: Fri, 28 Oct 2022 18:19:18 -0300 Subject: [PATCH 06/11] aps3 - geral --- aps_1.ipynb => aps_geral.ipynb | 149 ++++++++++++++++++++++++++++++++- 1 file changed, 145 insertions(+), 4 deletions(-) rename aps_1.ipynb => aps_geral.ipynb (58%) diff --git a/aps_1.ipynb b/aps_geral.ipynb similarity index 58% rename from aps_1.ipynb rename to aps_geral.ipynb index 69d6e1b..d2dca36 100644 --- a/aps_1.ipynb +++ b/aps_geral.ipynb @@ -18,12 +18,12 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 29, "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "

" ] @@ -41,7 +41,6 @@ "\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", - "\n", "anos_str = [str(i) for i in range(2004, 2019)]\n", "anos = [i for i in range(2004, 2019)]\n", "\n", @@ -89,7 +88,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 30, "metadata": {}, "outputs": [ { @@ -186,6 +185,148 @@ " -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", + " Mercosul:\n", + " União Europeia:" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\alanm\\AppData\\Local\\Temp\\ipykernel_8420\\2512901256.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" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "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" + ] + } + ], + "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(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", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "A acurácia do sistema desenvolvido foi de: 53.66%\n" + ] + } + ], + "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" + ] } ], "metadata": { From 11e6b263eb43e3193f5d72704bc736f2a9a7093d Mon Sep 17 00:00:00 2001 From: alanmath <59699344+alanmath@users.noreply.github.com> Date: Fri, 28 Oct 2022 18:43:48 -0300 Subject: [PATCH 07/11] pt alan --- aps_geral.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/aps_geral.ipynb b/aps_geral.ipynb index d2dca36..a4f6907 100644 --- a/aps_geral.ipynb +++ b/aps_geral.ipynb @@ -239,7 +239,7 @@ "\n", "\n", "mediana = df['2021'].median() #Considerarei avançado paises que possuam valores maiores que a mediana\n", - "print(mediana)\n", + "print('Com dados bem distribuídos, colocamos como avançados paises acima da mediana:',mediana)\n", "\n", "\n", "\n", From ba0b4fa78d092aa9e65bcbb4716a599450eb6a69 Mon Sep 17 00:00:00 2001 From: C0D8 Date: Fri, 28 Oct 2022 22:54:58 -0300 Subject: [PATCH 08/11] aaaa --- aps_geral.ipynb | 93 ++++++++++++++++++++++++++++++++----------------- 1 file changed, 62 insertions(+), 31 deletions(-) diff --git a/aps_geral.ipynb b/aps_geral.ipynb index 83485e8..503b548 100644 --- a/aps_geral.ipynb +++ b/aps_geral.ipynb @@ -19,7 +19,6 @@ { "cell_type": "code", "execution_count": 1, - "execution_count": 29, "metadata": {}, "outputs": [ { @@ -77,11 +76,6 @@ "## 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, diz que uma educação melhor para as meninas aumenta suas possibilidades de participar integralmente da sociedade e ser membros ativos das suas comunidades.\n", - "O objetivo dessa comparação é observar se uma presença maior de mulheres no parlamento poderia trazer como consequência uma maior participação das mulheres no mercado de trabalho, já que, devido a representatividade, seriam pensadas mais medidas para ampliar a participação desse grupo, com isso, uma igualdade de gênero mais evidente.\n", - "\n", - "\n", - "A idéia é traçar correlações entre os gráficos de participação feminina no parlamento e o de inclusão trabalhista das mulheres." "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", @@ -95,7 +89,6 @@ { "cell_type": "code", "execution_count": 2, - "execution_count": 30, "metadata": {}, "outputs": [ { @@ -139,11 +132,6 @@ "\n" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [] - }, { "cell_type": "code", "execution_count": 3, @@ -183,12 +171,14 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Análise da relação entre mulheres exercendo funções trabalhistas e a representatividade no parlamento\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 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", - "### 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, 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." + "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", - "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, 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", "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", @@ -209,34 +199,68 @@ "# Parte 3: Distribuições\n", "### Blocos escolhidos: Mercosul e União Europeia\n", "#### Sobre os blocos:\n", - " Mercosul:\n", - " União Europeia:" + "\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": 32, + "execution_count": 4, "metadata": {}, "outputs": [ { - "name": "stderr", + "name": "stdout", "output_type": "stream", "text": [ - "C:\\Users\\alanm\\AppData\\Local\\Temp\\ipykernel_8420\\2512901256.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" + "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": "stdout", + "name": "stderr", "output_type": "stream", "text": [ - "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" + "C:\\Users\\code\\AppData\\Local\\Temp\\ipykernel_22012\\467862442.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" ] } ], @@ -303,13 +327,13 @@ "\n", "\n", "\n", - "\n", + "mh\n", "\n" ] }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -343,6 +367,13 @@ "print(f'A acurácia do sistema desenvolvido foi de: {acuracia*100:.2f}%')\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. tt" + ] } ], "metadata": { From 93dd1b401ae5d6b43fe25b12d3bd76d4de68e9bd Mon Sep 17 00:00:00 2001 From: alanmath <59699344+alanmath@users.noreply.github.com> Date: Fri, 28 Oct 2022 23:04:51 -0300 Subject: [PATCH 09/11] indo do alan --- aps_geral.ipynb | 83 +++++++++++++++++++++++++++++-------------------- 1 file changed, 50 insertions(+), 33 deletions(-) diff --git a/aps_geral.ipynb b/aps_geral.ipynb index 83485e8..ff4d62a 100644 --- a/aps_geral.ipynb +++ b/aps_geral.ipynb @@ -18,8 +18,7 @@ }, { "cell_type": "code", - "execution_count": 1, - "execution_count": 29, + "execution_count": 2, "metadata": {}, "outputs": [ { @@ -77,11 +76,6 @@ "## 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, diz que uma educação melhor para as meninas aumenta suas possibilidades de participar integralmente da sociedade e ser membros ativos das suas comunidades.\n", - "O objetivo dessa comparação é observar se uma presença maior de mulheres no parlamento poderia trazer como consequência uma maior participação das mulheres no mercado de trabalho, já que, devido a representatividade, seriam pensadas mais medidas para ampliar a participação desse grupo, com isso, uma igualdade de gênero mais evidente.\n", - "\n", - "\n", - "A idéia é traçar correlações entre os gráficos de participação feminina no parlamento e o de inclusão trabalhista das mulheres." "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", @@ -94,8 +88,7 @@ }, { "cell_type": "code", - "execution_count": 2, - "execution_count": 30, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -139,14 +132,9 @@ "\n" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [] - }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -183,10 +171,6 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Análise da relação entre mulheres exercendo funções trabalhistas e a representatividade no parlamento\n", - "\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, 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." "\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, 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", @@ -215,28 +199,28 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 5, "metadata": {}, "outputs": [ { - "name": "stderr", + "name": "stdout", "output_type": "stream", "text": [ - "C:\\Users\\alanm\\AppData\\Local\\Temp\\ipykernel_8420\\2512901256.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" + "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": "stdout", + "name": "stderr", "output_type": "stream", "text": [ - "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" + "C:\\Users\\alanm\\AppData\\Local\\Temp\\ipykernel_9352\\467862442.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" ] } ], @@ -309,7 +293,16 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#FIGURA DOS AVANÇADOS.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -318,6 +311,18 @@ "text": [ "A acurácia do sistema desenvolvido foi de: 53.66%\n" ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" } ], "source": [ @@ -341,6 +346,18 @@ "\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", + "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" ] } @@ -366,7 +383,7 @@ "orig_nbformat": 4, "vscode": { "interpreter": { - "hash": "d318107c6815cca30760a96ba7d25a1f82fbfac7cae098cf40593e797620cbaa" + "hash": "f4fc7ca4c719ee9eb8edac784909fabba88213340fb42bb5c2706b56c0804c2a" } } }, From 97762b574ba9b5c464a739f65589124a888e4522 Mon Sep 17 00:00:00 2001 From: C0D8 Date: Fri, 28 Oct 2022 23:11:40 -0300 Subject: [PATCH 10/11] zzzz --- aps_geral.ipynb | 60 ++++--------------------------------------------- 1 file changed, 4 insertions(+), 56 deletions(-) diff --git a/aps_geral.ipynb b/aps_geral.ipynb index fbb0195..d95e23e 100644 --- a/aps_geral.ipynb +++ b/aps_geral.ipynb @@ -18,11 +18,7 @@ }, { "cell_type": "code", -<<<<<<< HEAD "execution_count": 1, -======= - "execution_count": 2, ->>>>>>> 93dd1b401ae5d6b43fe25b12d3bd76d4de68e9bd "metadata": {}, "outputs": [ { @@ -92,7 +88,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 2, "metadata": {}, "outputs": [ { @@ -138,7 +134,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -175,7 +171,6 @@ "cell_type": "markdown", "metadata": {}, "source": [ -<<<<<<< HEAD "\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", @@ -183,8 +178,6 @@ "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", -======= ->>>>>>> 93dd1b401ae5d6b43fe25b12d3bd76d4de68e9bd "\n", "\n", "Referências bibliográficas:\n", @@ -246,11 +239,7 @@ }, { "cell_type": "code", -<<<<<<< HEAD "execution_count": 4, -======= - "execution_count": 5, ->>>>>>> 93dd1b401ae5d6b43fe25b12d3bd76d4de68e9bd "metadata": {}, "outputs": [ { @@ -267,11 +256,7 @@ "name": "stderr", "output_type": "stream", "text": [ -<<<<<<< HEAD "C:\\Users\\code\\AppData\\Local\\Temp\\ipykernel_22012\\467862442.py:6: SettingWithCopyWarning: \n", -======= - "C:\\Users\\alanm\\AppData\\Local\\Temp\\ipykernel_9352\\467862442.py:6: SettingWithCopyWarning: \n", ->>>>>>> 93dd1b401ae5d6b43fe25b12d3bd76d4de68e9bd "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", @@ -348,20 +333,7 @@ }, { "cell_type": "code", -<<<<<<< HEAD "execution_count": 5, -======= - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "#FIGURA DOS AVANÇADOS.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 17, ->>>>>>> 93dd1b401ae5d6b43fe25b12d3bd76d4de68e9bd "metadata": {}, "outputs": [ { @@ -370,18 +342,6 @@ "text": [ "A acurácia do sistema desenvolvido foi de: 53.66%\n" ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" } ], "source": [ @@ -405,18 +365,6 @@ "\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", - "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" ] }, @@ -424,7 +372,7 @@ "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. tt" + "Logo, como a acurácia foi baixa, podemos concluir que o indicador não é um bom preditor para o bloco escolhido. tts" ] } ], @@ -449,7 +397,7 @@ "orig_nbformat": 4, "vscode": { "interpreter": { - "hash": "f4fc7ca4c719ee9eb8edac784909fabba88213340fb42bb5c2706b56c0804c2a" + "hash": "d318107c6815cca30760a96ba7d25a1f82fbfac7cae098cf40593e797620cbaa" } } }, From 46a62a3ef8a436b553c9a236ca5d29c15907bebc Mon Sep 17 00:00:00 2001 From: C0D8 Date: Fri, 28 Oct 2022 23:23:03 -0300 Subject: [PATCH 11/11] foi ? --- aps_geral.ipynb | 42 +++++++++++++++++++++++++++++++++--------- 1 file changed, 33 insertions(+), 9 deletions(-) diff --git a/aps_geral.ipynb b/aps_geral.ipynb index d95e23e..aa5b5a3 100644 --- a/aps_geral.ipynb +++ b/aps_geral.ipynb @@ -18,7 +18,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -88,7 +88,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -134,7 +134,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -239,7 +239,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -256,7 +256,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\code\\AppData\\Local\\Temp\\ipykernel_22012\\467862442.py:6: SettingWithCopyWarning: \n", + "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", @@ -326,14 +326,12 @@ "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", - "mh\n", "\n" ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 10, "metadata": {}, "outputs": [ { @@ -342,6 +340,18 @@ "text": [ "A acurácia do sistema desenvolvido foi de: 53.66%\n" ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAfMAAAEWCAYAAAByhn56AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/NK7nSAAAACXBIWXMAAAsTAAALEwEAmpwYAAAy0ElEQVR4nO3de7wXVb3/8ddbRFFEBEFDoUAzDcHECK8d8X7DvIai5bXj+XXMUtO0U6Z17GhHy46mdvTkUSsx85almVe0TqWB4i28pWSgKSBeIC2Fz++PtTbM/vr97r2B2Xv47v1+Ph77sb/fNZf1mfnOzJq1Zs2MIgIzMzNrXqtUHYCZmZmtGBfmZmZmTc6FuZmZWZNzYW5mZtbkXJibmZk1ORfmZmZmTc6F+XKQdICkv0jaSdLVkt5XdUxdTdJgSSdUHYeZ2bKStKak6ZL+T1K3KAe7xUJUYEdgD+BTwN8i4q8Vx9Ol8sb/P8DDVcdiZrYcvgacDdwAHF9xLKWQHxpjZmbW5CKizT9gJvAW8CbwGvBb4P8BqxTGuRI4u/D9WODJPM3LwG1AP+CXwIL89w7wj8L37wPjgcX5+5vAU8DRNfEE8MH8+aw8n5Z5zAAOKox7FPCbBsu0a4PYV8vzfQZYmMe9AhheM48rgXeBIXXmPwF4ME8/D/gxMLSNddyyHG/mv6eB79XOG1gHuBT4K/A34LE662eH/Bu9DrwK/B/wsXbyXVD4bbctDF8rD/tlO+twNeDbwKw8/kzgu3W2oQWFv+91ZNoGcQt4DvhjIe3QPK1qxl0VeAWY0GjawrhTgLeBYYW0XYGZNeMdBkzN8b5E2q53qBnnKNK2ekhN+niWbuML8nJfV/sb5ThPJW2HbwEvAOcAqxfGGUqqWczNv/fjwFE185kEXNPWbwo8UYhnUV4HLd//LS/Lovz9DeCRlvVZZ3sKYOua9A79xm1MX8x/AfA88L/Ah2rGWz2voxfyOnsmr0MVxtkcuIO0b7wGTAP2brCdtfyGX6pJnwWML3wfCdySf4M3gXuB7WqmqXtMbJDvlMJv8DpwPzC6Zj39qMG069DOMaIj23AnL1PL388Lw9cGvpt/uwXAn/L3QTW/x2N5uf6al3OdOtvPxJr9Pygcv4HtgHty3K8DPwdG1uyjAdxUswwfyelTCmlLyqP8/UPAT1m6Tz4KnAz06oxttFV87Y7Q+qDdH/gEeWcqjHMluUAkNUG/DIzJ3wcCR9b+yNQUooWVOKtwMNubVGBuWm/lUbNRk5q+3wLWL/z4y1qY3wI8BHwsbwj9Sc0wxxbG6Zs3hHnAqTXzPph0wDsMWAN4H+lkYCYwoME6XrIcQO/8Y14PvEgu0EkHxKmkHWZEHm/PvK5PLuwQr5EO4L1y/rsDW3Qw3/8k7dgtLTZH5mV8F3hfG+vwTOA+YIP8uw0Hjqg3bp0Y2py2wTQ7knb4t8mFINAnL/v4mnEn5HW0aqNpaw4484DLCmmtCnPSjvkKcGDeDnoD+wLn1czr3jyvW9vZxocC38jx7FIY7yLSjr4taTvcnHSC+LOaPL6b41gVGAPsVZPfj4BPFb43/E0L6+AzNWlHkfcj0qW5f8nrsHggbTlJmgdcvKy/cTvTF/PvBWwMXELaB0fV7LsPAqPy+tgmr8MLC+M8Rzp4rpb/tqfmRKwm33mkA3O/QvqSwjzHMh/4JulY1w/4fF4/2y7LMbHeb5CX9xvA9Hr7bc107R4jOrINd/YyNYj7D8CdpJOIVYD1gDPIhRjwxZzfnjne4Xk5/wCsVlgv80iVupbCs1VhTtqfFgBfyMs1kNTcPh/YqLCPvkI6YVi3EOd3SBXMuoV5Yb19h6XH7U2Ba8j7CiVvo63WY7sj1DkQA+NItYtR+fuVLC3MTwFu7sB8l0xT70BXSHsF+GSDlXcWNRt1Hn+72oNAo2WqiX1X0snAsHZiPwL4S94gHq85IP2Z957Jr0KqNX2jwfzqLUcvUg3o/Pz92LxsfWvGOyRvnGsDY4HX2lv3jfIlFRhBPhsmnb1+k3Ryc0ob6/AXwInLsg0VhrU5bYNpriC1dtxIruHn9MuAK2rGvQ64oL1p87AppILnTWDjwjYxM3/un9f1J9uJ7wOk/eMgagrNett4Tv8eMDV/3oRUEx1XM84w4O/Azvn7AmDLNuJYhXQALNZuGv6mhXXQsDDP39fM28nHCmn/RNp3DicdUFdblt+4nelb5V8z3+vz512oaVXJ6VvndflBYFCOe50ObmdHAb8h1dzOLKQXC/MfArfVmfZS4P78uUPHxEa/AamA+0fh+1nUL8w7coxodxvuimWqGfaZvJ2u1WD42jnmiTXpawFzgGMK6+XHpOPmkTmttjD/NXBJnTx+CVwdhX2U1Fp8fE7rBcwmXWufUpiuWB79iJqT95o8St9Gi3/L1QEuIh7MC/vxOoMfAPaQ9HVJ20tafXnykLSKpE/khXu2A+NL0j6kM5k/Lk+epAP3gxHxl3bGOxKYDFwLbCbpozl9U+D9pGaWJSJiMak5dLeOBhIRi4CfsXQd70ZqGl1YM+oNpFrptqTm+UWSrpK0l6QBHc0v/05HAX+JiLmSPkDaqH+c/45oY/LfAydL+ldJoyWpo/ku67SS1iS1frTEdaik1fLgq4CDJa2Rx+1PqnFc1YFpW8wGLge+Xif7bUnr+qZ2lukIUsF8A6mWcHg740M6udhKUl/STj8r72dL5O3y9yzdjn4PXCzpUEnvrzPPccBzETEXYBl/07ok9QKOJl2e+XNh0JGkQu+6/H3fwrCO/MZtTd/IjbTePx6o3Xcj4gHSsWoX0knCs8CPJO0vaf0O5AGphniipIF1hu1Gzf6eXQdsn7fF5T4m5u3zcNI6bE9HjhEd2YY7dZnq2BW4PSIWNBi+XY75xmJiHv82Wh9Xg/R7nSmpd3H8vP9vR+Nlqz0+X83SfWQPUoXsxXaW4/o2hnfmNrpCvdlfJDVRtBIRvyY132wF3ArMk/SdfBDoiA0kvUY6S7+J1Dz0cBvjT8zjLyA1YfxHRLzW0YWosS6pmbmhfNDciXQd8mXgbpb+4IPy/3rzeKkwvKOK63hQvflGxLukZsBBEfEG6Zp5kAqkOZJuaWeDaFl/fwE+ChyQ0z8NPBoRfySdtGwuaUyDeZwDfIt00JkKzJZ0ZM04N0t6rfD3z8swbdGBpNrpHaTtqzewT14X/0c6w29ZhonA0xExvb1p6yzPvpI2r0lfF5ib13lbjiA1rZH/d6TQfJHUsrMODX7rrLgdfZJU0zgDeD7favOxwrj7kA52LZblN621Td5O3gbOJzXdvwJLDpKfJO0T75AOaMVlbvM37sD0jbS7f2QvkfaPIO27M0nX8F+SdL+kTdrKJG8/dwKn1RncKN+XSMfXgct5TLwwr+83gc9R/+SyQ7EUjxF0bBvu1GUq/P17Tm/vuDuojZjfc1yNiFtINfbP1Iw7MMffoeNzRPwWGChpU9L2eHUbMULHlqNTtlFYscJ8Q9IF+veIiF9GxL6klbcfqcZXu2IbeTEi1iE1rVwI7NzO+NdFxDoR0Zd0zeIISf+Sh71LOmDX6k2qWdSaBwxpJ79PAzMKBcSPgcPyWeDcnFZvHkMKwzuquI7n1puvpFXJGztARMyIiKMiYijpuswGpOuqjbSsv/UiYueImJbTjyAtGxExm3TNs24hGxGLIuLiiNieVBh9E7hC0ocLo+2f82n5u3wZpi06Msf8bkS8Tap1FOMqnk1/mtY7YHvTtizPHFKz9zdqBs0DBuV1Xpek7UnXK6/NSdcAoyVt2WiabEPSSdhrNPitsyXbUUTMj4jTI2JzYH1gOumkqaXmuzetC/MO/6Z1/D7vlwNIJ83FVrkDSPtaS14/BvaSNDjn1d5v3Ob0bWh3/8iK62xWRHwuIjYmXQ5ZSPsHaUjNq5+tc2LcKN8hpEst83O+y3pM/Hxe32uQ+n1cL2mLdmLsyDGi3W240XwoaZkKf2fk9PaOu3PbiLnRcfWrwFdINfoW83P8y3J8/iHpZGon2m+R68hydNo2ulyFeT7735B0PamhiFgcEXeTrtONWpY8IuLvpDPh0ZL27+A0M0nXPlqa6F4A3l9s1su1gPVo3UTY4i5gnKShbWRzBLCRpL9K+iups8Mg0oHzKVJzySeLE+T7sg8i1eI7JE+zL6nm1RLbXrkZtuggUm3zPc1wEfEkqU/AMq17SduRrtt+ubCcW5NOWto6CBARb0XExaQdZ+Sy5NvetPl32Rn4VCGug4G9JbWcVf8Q2EXStqTOJT9ehmmLziPtwB8tpP2OtK73b2MxjiTVsKfnPB4opLflAOCh3ER6DzBM0ria5R+Wl+k921FuSj+fdPI2UOlBRkNI18ZX6DetyWcB8Fng04Va/ZGk65cv5Pn+lHTCfFid6ev9xh2evsYBtN4/ts7raAlJW5P6GtxTJ5a/ABfTgf0j70s3kgqIoruo2d+zicDvIuJvNfNZpmNiHv/XpKbX3dsZvSPHiI5sw526TA3y26NO3C1aYj6wmChpLWAv6u8Pd5LW2b8W0hbmeTVatnrH5x/medxWu9wNluOgdoZ32jbakY4LM1na0Wlt0lnin8idBXL6lSztRLYf6TahAaSD2jhSk8fhNfNdMk0hbTzv7QD3OdJBrl6Hg7No3YFrKOnWhW/l76uTet5/mXSG1pdU2/8dS3tst4qDVOv4A+kgviqpx+P/A44hXW96FxhN6qXe8vdj4IZY2tmkpTd7H5b2Zn+BQs/ImmVcshw5zw8DPyH1ptygsCwPkWovw0kHuz1Izcqn5nE2I/X6HJq/DyPdmnZ5e/nWpP83qSm6uIwjSE1++9bZLk7Mv90aOf4jSTvfRrXj1smrzWlrxv0y6Rr0+2r+ngNOKIx3b87z1mWZlvd2PPoK6Wx7ZiGtpVft/qSOYL1JB5T/ZGmP+mNr8jg+T7Mq7+3NviGp093bwO6FfC4h9XLdhtT5pqU3e3GZvsXSXrH9SDv9M3nY0RQ6A3bkN623DnLaUdR0QCOdONyU419EKmiK8z4XmNbeb9zB6Zfkn9fFCFJv/wW0vmXr1ryONs/jtfQUvjgPH0Bqrv4gqSIziFRA39lg22y13IX1tYClHeA2yb95sef3CaTa1PbLckxs9BuQjjsLyXcqkPbba0jbW8vf6nTgGNHeNtxVy1QzbHXSMfd20jFsFVKT9b+xtDf7l6jfm/0h8u2avLc82J5U2y12gNshL8fn83INIPVmfw3YpF45lKdpOQ5/hrZ7s79Kqgi8L6d9kNQxbp3O2EZbrcd2R2h9n/nrpILweHLX/9oCkdQr9e68Elvumf5SnfkumaaQ1mol5rQ187xaCpHawrx4n/lLpB6IaxamHwn8Ks/jZdL1uGGN4iB1oPs66awuSDX4H+SN5/vkQrsmxnGkg9PAwob+h7zRvErqLNewh3zNcizMP+4lwIY14w0kHZRfzr/JE7Te6TckdeSYneczO4+/dhv51vai70OqNe1bZ/xLWNp7eCZLC/PjSPdCvk7aKR6kcB8y9e8zv6kj09bk/ySFQruQ/iVyT/DCQTgo3OPdkWl570F0LVLv4Jk107Rc+428rm4j7fCHkrbB3jXjr0E6KZhA6/vMF5Ku+14PbFMzzSqklqln87r7C/mEoTBOy+1rC0gH0l8AH87DrgcOXpbftN46KKzP2sJ8KGmb/xq50K0ZvgFpmx7V1m8MnN6B6Y9i6X3mC0n75FUty1qz7X4rr6u38ro7nfxMDNLJ/FWk7XEB6WR5MjX7WTvLfUn+3ccX0kbldf9Gnu8UWt+z3aFjYs1vULwn+1ngpJr9Nmr+Wk4Q2zxG1NmGF+b1cCuF+8i7YJkWFH93Ui/77+bfbgGpwvgdWt8adiypE9pbefn+m8LtvtQ/nt3Ge+8z3yHHsyAv3620vsVxPHXuOMnDGhbm+fumpJaleaTt/RHSyWzLrXKlbqPFPz8Brg2STibVdH5edSy28pG0Fakm8sWqYynKzeZ/JbVuvFF1PGbW+fxs9gby9ZjnaP86lfVAefuYSbodZWUzEDjDBblZz+HCvLGfk5o7OtxpzXqUU0mdHW+vOpBaEfFKRFxadRxm1nXczG5mZtbkXDM3MzNrch2+v7TZDBo0KIYPH151GGZmthKZNm3a3Iho74FETafbFubDhw9n6tSpVYdhZmYrEUn1HhjW9NzMbmZm1uRcmJuZmTU5F+ZmZmZNzoW5mZlZk3NhbmZm1uRcmJuZmTW5bntrWrdwVv+qIzCAs16vOgIzsza5Zm5mZtbkXJibmZk1ORfmZmZmTc6FuZmZWZNzYW5mZtbkXJibmZk1ORfmZmZmTc6FuZmZWZNzYW5mZtbkXJibmZk1uZWqMJc0TNK9kv4o6QlJX8jpAyXdKemZ/H9A1bGamZmtLFaqwhx4F/hiRIwEtgGOlzQSOB24OyI2Ae7O383MzIyVrDCPiJci4qH8+U1gBrAhsB9wVR7tKmD/SgI0MzNbCa1UhXmRpOHAGOABYP2IeCkP+iuwfoNpjpM0VdLUOXPmdE2gZmZmFSu1MJe0pqTehe+bSjpJ0oHLOJ+1gBuAEyPijeKwiAgg6k0XEZdFxNiIGDt48ODlWAIzM7PmU3bN/HZgOICkDwK/AzYiXfs+pyMzyCcDNwA/jogbc/LLkobk4UOAV0qO28zMrGmVXZgPiIhn8ucjgckRcQKwFzChvYklCfgBMCMivlMYdEueX8t8f1ZeyGZmZs2t7MK82Py9M3AnQET8A1jcgem3Bz4N7Cxpev7bGzgX2E3SM8Cu+buZmZkBq5Y8v0clnQ/MBj4I3AEgaZ2OTBwRvwHUYPAuZQRoZmbW3ZRdM/9nYC7puvnuEfG3nD4SOL/kvMzMzIzya+a9I+I9TeAR8VtJs0rOy8x6irP6Vx2BAZz1etURWANl18yntHyQdHfNsJtLzsvMzMwovzAvXu8e2MYwMzMzK0ln9mavfbBL3Qe9mJmZ2Yop+5r5epJOJtXCWz6Tv/uRbGZmZp2g7ML8cqBfnc8A/1NyXmZmZkbJhXlEfL3M+ZmZmVn7yn7Ryj9L2iR/lqQrJL0u6VFJY8rMy8zMzJKyO8B9AZiZP08CPkJ60crJwIUl52VmZmaUX5i/GxHv5M8TgKsjYl5E3AX0LTkvMzMzo/zCfLGkIZL6kJ6lfldh2Bol52VmZmaU35v9a8BUoBdwS0Q8ASBpR+C5kvMyMzMzyu/N/gtJHwD6RcT8wqCpwCFl5mVmZmZJKYW5pB8AJwB7FtLqjXpjGfmZmZnZUmXVzC8F9gD2bWOcwIW5mZlZ6UopzCNiKqkp/aZG40hav4y8zMzMrLWye7O3ImkdScfm16E+3Jl5mZmZ9VRl92ZH0hrAfsBhwBjS89n3B+4vOy8zMzMr/3Gu1wBPA7sBFwHDgfkRMSUiFpeZl5mZmSVlN7OPBOYDM4AZEbEIv8fczMysU5VamEfElsBEUtP6XZJ+A/Rz5zczM7POU3oHuIh4MiLOjIjNSC9euQr4g6Tflp2XmZmZldwBTtJ6wL8BHwQeBc6NiFMknQp8vMy8zMzMLCm7Zn41sJDU+a0f+bWnkbg3u5mZWSco+9a0IRHxlfz5V5IeKnn+ZmZmVqP0a+aSBkgaKGkg0Kvme0emv0LSK5IeL6SdJWm2pOn5b++y4zYzM2tWZdfM+wPTgOJbVlpq5wFs1IF5XAl8j9RkX3RBRJy/ogGamZl1N2W/AnV4CfO4X9IKz8fMzKyn6NRns5fsc5Iezc3wA6oOxszMbGXRLIX5pcDGwJbAS8C3640k6ThJUyVNnTNnTheGZ2ZmVp2mKMwj4uWIWJSf7345MK7BeJdFxNiIGDt48OCuDdLMzKwiZb9oZefC5xE1ww5cgfkOKXw9AHi80bhmZmY9Tdk182Jv8xtqhn21IzOQNBn4HbCppFmSjgX+U9Jjkh4FdgJOKiVaMzOzbqDsW9PU4HO973VFxKQ6yT9Y7ojMzMy6ubJr5tHgc73vZmZmVoKya+YbSbqFVAtv+Uz+PqLxZGZmZra8yi7M9yt8rn1am5/eZmZm1gnKfgLcfS2fJQ3Oab7h28zMrBOVfWuaJJ0paS7wFPC0pDmSvlZmPmZmZrZU2R3gTgJ2AD4WEQMjYgCwNbC9JN9OZmZm1gnKLsw/DUyKiOdbEiLiOeBTwBEl52VmZmaUX5j3joi5tYn5unnvkvMyMzMzyi/M/7Gcw8zMzGw5lX1r2kckvVEnXUCfkvMyMzMzyr81rVeZ8zMzM7P2NcUrUM3MzKwxF+ZmZmZNzoW5mZlZkyv7CXCbFT6vXjNsmzLzMjMzs6Tsmvk1hc+/qxl2Scl5mZmZGeUX5mrwud53MzMzK0HZhXk0+Fzvu5mZmZWg7IfGDJV0IakW3vKZ/H3DkvMyMzMzyi/MTy18nlozrPa7mZmZlaDsJ8BdVeb8zMzMrH2l32cu6UhJD0lamP+mSvLrT83MzDpJqTVzSUcCJwInAw+RrpVvBZwnKSLih2XmZ2ZmZuXXzD8LHBAR90bE6xHxWkTcAxwEHF9yXmZmZkb5hfnaETGzNjGnrV1yXmZmZkb5hflbyznMzMzMllPZt6Z9WNKjddIFbFRyXmZmZkYnFOYrOgNJVwATgFciYlROGwj8BBgOzAQmRsT8Fc3LzMysOyi1mT0i/lzvDxgGfKmDs7kS2LMm7XTg7ojYBLg7fzczMzM68X3mksZIOk/STODfgSc7Ml1E3A+8WpO8H9DyQJqrgP1LCtPMzKzplX2f+YeASflvLqlpXBGx0wrOev2IeCl//iuwfoP8jwOOA3j/+9+/glmamZk1h7Jr5k8COwMTImKHiLgIWFRmBhERNHgDW0RcFhFjI2Ls4MGDy8zWzMxspVV2YX4g8BJwr6TLJe1COe8xf1nSEID8/5US5mlmZtYtlN0B7uaIOBTYDLiX9GjX9SRdKmn3FZj1LcCR+fORwM9WKFAzM7NupFM6wEXEwoi4JiL2BYYCDwOndWRaSZOB3wGbSpol6VjgXGA3Sc8Au+bvZmZmRvn3mSNpVWAvUu0cYAZwRURc1pHpI2JSg0G7lBCemZlZt1NqzVzShsATwBeBDYANgVOBJ1queZuZmVm5yq6ZfxO4NCK+W0yU9HlS0/iR9SYyMzOz5Vd2Yb5NRBxVmxgRF0p6quS8zMzMjK59a9rfSs7LzMzMKL9m3l/SgXXShd9nbmZm1inKLszvA/ZtMOz+kvMyMzMzSi7MI+LoMudnZmZm7Sv7RSsntzU8Ir5TZn5mZmZWfjN7v5Ln16MNf/uaqkMwYGbVAZiZtaPswnxeRHyv5HmamZlZG8q+Ne2YkudnZmZm7eiUF62YmZlZ1ym7mX0LSW/USRcQEeF7zc3MzEpWdmH+WESMKXmeZmZm1gY3s5uZmTW5sgvzn5Y8PzMzM2tH2c3svSV9rcGwiIh/Lzk/MzOzHq/swnxBnbQ1gc8A6wIuzM3MzEpW9rPZv93yWVI/4Auke8+vBb7daDozMzNbfmXXzJE0EDgZOBy4CtgqIuaXnY+ZmZklZb9o5TzgQOAyYHRE1Gt2NzMzsxKV3Zv9i8AGwFeBFyW9kf/ebPAwGTMzM1tBZV8z933rZlY6v0Fw5TCz6gCsoU4vfCX1lfQpSbd2dl5mZmY9UacU5pJWk3SApJ8CLwG7AN/vjLzMzMx6urI7wO0OTAJ2B+4FrgY+FhFHl5mPmZmZLVX2rWm3A78GdoiI5wEk/VdZM5c0E3gTWAS8GxFjy5q32fJ65513mDVrFm+//XbVoTSlPn36MHToUHr37l11KGZNq+zCfCvgUOAuSc+RHhbTq+Q8doqIuSXP02y5zZo1i379+jF8+HAkVR1OU4kI5s2bx6xZsxgxYkTV4Zg1rVKvmUfE9Ig4PSI2Bs4EtiQ9r/2Xko4rMy+zlcXbb7/Nuuuu64J8OUhi3XXXdauG2QrqtN7sEfHbiDgBGApcAGxTxmyBOyRNq3dyIOk4SVMlTZ0zZ04J2Zl1jAvy5ed1Z7biyu4At1VNUgBzI+IO4I4SstghImZLWg+4U9KTEXH/kswiLiM9fY6xY8dGCfmZmZmt9Mq+Zl7vZSoDJa0GHBoRj6zIzCNidv7/iqSbgHHA/W1PZda1hp9e7iMVZp67T7vjSOLwww/nRz/6EQDvvvsuQ4YMYeutt+YXv/hFqfEsrylTpnD++eevNPGYdSdlPwFup3rpksYCFwH/tLzzltQXWCUi3syfdwe+sbzzM+tO+vbty+OPP85bb73FGmuswZ133smGG264TPN49913WXXV0t+9ZGZdoEsevxoRU4G1VnA26wO/kfQI8CBwa0TcvsLBmXUTe++9N7femloFJk+ezKRJk5YMW7hwIccccwzjxo1jzJgx/OxnPwPgyiuv5BOf+AQ777wzu+yyCwsWLODoo49m9OjRbLHFFtxwww1L5jd69GhGjRrFaaedBsCiRYs46qijGDVqFKNHj+aCCy4AYPz48UydOhWAuXPnMnz48K5aBWY9Vpechktan3T9fLlFxHPAR8qJyKz7OfTQQ/nGN77BhAkTePTRRznmmGP49a9/DcA3v/lNdt55Z6644gpee+01xo0bx6677grAQw89xKOPPsrAgQM57bTT6N+/P4899hgA8+fP58UXX+S0005j2rRpDBgwgN13352bb76ZYcOGMXv2bB5//HEAXnvttUqW28zK7wB3Ee8ttAcC2wFfKDMvM2ttiy22YObMmUyePJm999671bA77riDW265hfPPPx9It9O98MILAOy2224MHDgQgLvuuotrr712yXQDBgzg/vvvZ/z48QwePBiAww8/nPvvv58zzjiD5557jhNOOIF99tmH3XffvSsW08zqKLtmPrXmewDzgJMj4pWS8zKzGp/4xCc45ZRTmDJlCvPmzVuSHhHccMMNbLrppq3Gf+CBB+jbt+9y5TVgwAAeeeQRfvWrX/H973+f6667jiuuuIJVV12VxYsXA/j+cbMuUvZDY66KiKuAnwIPA9OBu1yQm3WNY445hjPPPJPRo0e3St9jjz246KKLiEgNZw8//HDd6XfbbTcuvvjiJd/nz5/PuHHjuO+++5g7dy6LFi1i8uTJ7LjjjsydO5fFixdz0EEHcfbZZ/PQQw8BMHz4cKZNmwbA9ddf3xmLaWY1ym5m7w2cB3ya9OpbAetLuigizpW0ZURMLzNPs5VNR24l6yxDhw7l85///HvSzzjjDE488US22GILFi9ezIgRI+reIvbVr36V448/nlGjRtGrVy/OPPNMDjzwQM4991x22mknIoJ99tmH/fbbj0ceeYSjjz56SS38nHPOAeCUU05h4sSJXHbZZeyzT3XrwqwnUcuZeikzky4E1gROiog3c9rawPmkl6PsGRFd8gDmsWPHRkuP2mZV9v3KtnzaK5xnzJjBhz/84S6Kpntqbx16X1g5VHmiWhZJ07rjS7rKvma+N7BJFM4QIuINSZ8F5gJ7lZyfmZlZj1f2feaLo05VPyIWAXMi4vcl52dmZtbjlV2Y/1HSEbWJkj4FzCg5LzMzM6P8ZvbjgRslHQNMy2ljgTWAA0rOy8zMzCj/2eyzga0l7QxsnpNvi4i7y8zHzMzMluqUx7lGxD3APZ0xbzMzM2vNr0gyK9tZ/Uue3+vtjjJz5kwmTJiw5DnpAGeddRZrrbUWjz/+OPfddx/9+6e41lxzTX7729+WG6OZVcqFuVkPcN5553HwwQdXHYaZdZIueQWqmZmZdR4X5mY9wKmnnsqWW27JlltuyeGHH151OGZWMjezm3UDktpMdzO7WffmmrlZN7Duuusyf/78VmmvvvoqgwYNqigiM+tKLszNuoG11lqLIUOGcM896Y7QV199ldtvv50ddtih4sjMrCu4md2sbB24lawzXH311Rx//PGcfPLJAJx55plsvPHGQLpmfvbZZy8Z98EHH2S11VarJE4zK58Lc7NuYuTIkdx7773vSb/yyiu7Phgz61JuZjczM2tyLszNzMyanAtzsxJERNUhNC2vO7MV58LcbAX16dOHefPmuVBaDhHBvHnz6NOnT9WhmDU1d4AzW0FDhw5l1qxZzJkzp+pQmlKfPn0YOnRo1WGYNTUX5mYrqHfv3owYMaLqMMysB2uqZnZJe0p6StKzkk6vOh4zM7OVQdMU5pJ6ARcDewEjgUmSRlYblZmZWfWapjAHxgHPRsRzEfEP4Fpgv4pjMjMzq1wzXTPfEPhL4fssYOviCJKOA47LXxdIeqqLYrPGBgFzqw5iRehbVUdg3YT3hZXDB6oOoDM0U2Heroi4DLis6jhsKUlTI2Js1XGYVc37gnWmZmpmnw0MK3wfmtPMzMx6tGYqzP8AbCJphKTVgEOBWyqOyczMrHJN08weEe9K+hzwK6AXcEVEPFFxWNY+X/YwS7wvWKeRH0FpZmbW3Jqpmd3MzMzqcGFuZmbW5FyYm5mZNTkX5mZmZk3OhbmZmVmTc2FupZC0r6QPFL5/TdIjkm6R5PeDWo8h6Z8lbZI/S9L/SnpD0qOStqo6PuueXJhbWb4JzAGQNAH4FHAM6cE+368wLrOu9gVgZv48CdgCGAGcDPxXRTFZN+fC3MoSEfG3/PlA4AcRMS0i/gcYXGFcZl3t3Yh4J3+eAFwdEfMi4i6gb4VxWTfmwtzKIklrSVoF2AW4uzCsT0UxmVVhsaQhkvqQ9oW7CsPWqCgm6+aa5nGuttL7LjAdeAOYERFTASSNAV6qLiyzLvc1YCrpsdO3tDx2WtKOwHNVBmbdlx/naqWRtCGwHjA98oYlaQjQOyJeqDQ4sy4kaVWgX0TML6T1JR1zF1QXmXVXLsytNPltdocDm+ekJ4BrIuLv1UVl1vUkrQccT+t94ZKIeLm6qKw78zVzK4WkkcAfgfHAC/lvPPBEHmbWI0janvTKZoCr8x/AA3mYWelcM7dSSLobODci7qxJ3xX4SkTsVE1kZl1L0u+Bz0bEwzXpWwL/HRFbVxKYdWuumVtZNqwtyAHy7TjvqyAes6qsXVuQA0TEdKBf14djPYELcyvLKpJWr03Mt+f4rgnrSSRpQJ3EgfiYa53EG5aV5WrghppHug4HrgN+WFVQZhW4ALhD0o6S+uW/8cAv8zCz0vmauZVG0ueALwFrAgIWAOdHxEWVBmbWxfIjjb9E697s50XEz6uLyrozF+ZWOkn9ACLizapjMTPrCVyYW2kkbQocB2yWk2YAl0XE09VFZdb1JO0EfI7W+8L3ImJKZUFZt+Zr5lYKSdsCU0hN65cBlwMLgSmStqkwNLMuJWkf4ArgF8BhpAcp3QZcIWnvKmOz7ss1cyuFpF8C36qteeTnUZ8eEXtVEphZF5M0BfhCRDxSk74FcFFE7FhJYNatuTC3Ukh6OiI+1GDYUxGxaVfHZFYFSU9GxGbLOsxsRbiZ3crSVme3hV0WhVn12trevS9Yp/DDPKwswyRdWCddwIZdHYxZhTaWdEuddAEbdXUw1jO4md1KIenItoZHxFVdFYtZlXI/kYYi4r6uisV6Dhfm1qny41z3jYifVh2LWZUkDQMOjYjzqo7Fuh9fM7fSSeolaW9JPwT+DBxSdUxmVZA0WNK/Svo16dbN9SsOybopXzO30uTmxcOAvYEHge2BERHxt0oDM+tC+QmIB5L2hQ8BN5L2g6GVBmbdmpvZrRSSZgEvAJcCN0fEm5Kej4gRFYdm1qUkvUU6mf0q8JuICEnPRYQ7v1mncTO7leV6YANSk/q+kvoCPlO0nujLwOrAJcCXJW1ccTzWA7hmbqWRJGA8MInU1N4fOBa4LSIWVBiaWZeTtBFwKGl/2AQ4E7jJ7yqwzuDC3DqFpN7AHqQD2R4RMajikMwqI2kUaV84JCI+WHU81v24MLdSSBoMDI6IP9akbw68GREvVBOZWbXyie0oYHZEvFJ1PNY9+Zq5leUioF7teyBwbhfHYlYZSd/PJ7FI6g88AlwNPCxpUqXBWbflmrmVQtLUiBjbYNjTwE2k7e1LXRuZWdeS9EREtBTmJwLjI2J/Se8DfhkRYyoN0Lol18ytLP3aGNYH+DYwoYtiMavSPwqfdwNuBoiIv1YSjfUILsytLM9K2rs2UdJewBP5WuFnuz4ssy73mqQJksaQHpx0O4CkVYE1Ko3Mui0/Ac7KciJwq6SJwLScNhbYllwj9wsmrIf4F+BC4H3AiYUa+S7ArZVFZd2ar5lbaSStTnqE5aic9ARwTUS8XV1UZisPSR+LiD9UHYd1Py7Mzcw6kaSRpHvMJwGvNeooarYi3MxupZD0PI0f3xoR4UdaWo8haThLC/B3gA8AYyNiZoVhWTfmwtzKUlvbWAWYCJwCPNz14ZhVQ9LvgLWBa4GDIuKZ/NKhmdVGZt2Ze7NbKSJiXkTMA+aTOrzdS+r8tk9EHFRpcGZd62XSrZrrA4Nzmq9nWqfyNXMrRX5k5THAScBvgHMj4tlqozKrRn7y24EsfcnKOqR3FDxYZVzWfbkwt1Lk95m/C3yX9F7zViLixq6OyWxlIGk90quBDwXeHxHDKg7JuiEX5lYKSVfSdge4Y7owHLOVjqQBwPERcXbVsVj34w5wVoqIOKrRMEnrd2EoZpWSNAw4A9iA9CjXycA3gE/nz2alc2FunULSOsBBpIfIfJh0YDPrCa4G7gNuAPYEpgLTgS38fHbrLG5mt9JIWgPYj1SAjyH16N0fuD8iFlcYmlmXkfRIRHyk8H0W6Vq59wHrNL41zUoh6RrgadJboi4ChgPzI2KKD2LW00gaIGmgpIHAPKB/4btZ6dzMbmUZSbrHfAYwIyIWSXKzj/VE/UkvG1Ih7aH8P4CNujwi6/bczG6lkbQZ6b7aQ4C5wKbAqIh4udLAzLqQpA9ExJ+rjsN6Fhfm1ikkfZRUsE8EZkXEdhWHZNYlJD0UEVtVHYf1LC7MrRSS/ghcA0yOiD8V0gV8PCLuryw4sy4k6eGIGFN1HNazuDC3Ukj6COkJVxNJHX4mAz+JiBcrDcysi0l6hfSSlboi4vNdGI71EO4AZ6WIiEeAR4AvS9qGdN3895L+BFwTEZdXGqBZ13mL1AGuHteerFO4Zm6dRtJ44AJgZESsXm00Zl2j0TVzSR8HDo2I4ysIy7o518ytVJI+Rur4dhDwPPDfwE8rDcqsa/2j5YOkMaSHKH2StD/cUFVQ1r35oTFWCkn/kZvULwVmA9tHxHjgCdJzqc16iiMlnSnpSdIDlF4gtYLuFBHfqzg266ZcM7eyvA3sGRHP5NrI5yVNJNVG/PpT60lmAL8GJkTEswCSTqo2JOvuXJhbWa4FDpM0ifTAmJ+QayPVhmXW5Q4k3dlxr6TbSfuG2p7EbMW4A5yVQtJiUm3k2EJt5LmI8KMrrUeS1Jf04qFJwM6kt6ndFBF3VBqYdUu+Zm5lORB4iVQbuVzSLrg2Yj1YRCyMiGsiYl9gKPAwcFrFYVk35Zq5lcq1ETOzrufC3DqNpAGkW3IOiYhdqo7HzKy7cmFuZmbW5HzN3MzMrMm5MDczM2tyLsytR5G0v6SQtFl+Stc5NcO3lDSj8H26pGtrxrlS0mxJq+fvgyTNLAz/kKTbJD0j6SFJ10lavzD8u3n6VQppR0maI+nhPN2vJG1XGC5JX83DnpZ0r6TNC8OPkfSYpEclPS5pv8KwbSRdXi9/SaPzMk6X9Kqk5/PnuyQNl/RW/v5HSVdL6l2Yz6o55nNr1s+EvByP5On+pWb4zZJ+X5N2Vo5pel7GGyWNLAxfLcf9bB7+M0lDC8O/IumJvPzTJW2NWQ/iwtx6mknAb/L/yaS3uxUdmtOR9GGgF/Dx3Eu/aBFwTO3MJfUBbgUujYhN8gs3LgEG5+GrAAcAfwF2rJn8JxExJiI2Ac4FbswxABwPbAd8JCI+BJwD3CKpTy7UvgLsEBFbANsAjxbmuxdwe738I+KxiNgyIrYEbgFOzd93zdP+KQ8bTbq9amJhvrsBTwOfzO+tJxf2lwH7RsRHgDHAlML6WQf4KNBfUu0zCC7IeW9CeujQPZIG52H/AfQDNs3Db87rR5K2BSYAW+Xl3zUvn1mP4cLcegxJawE7AMeS3l71NDC/phY3kVyYkwr8HwJ3kG63K/oucJKk2qcoHgb8LiJ+3pIQEVMi4vH8dTzpefWX5vnXFRH3kgrF43LSacDnIuJvefgdwG+Bw4H1gDeBBXnYgoh4vjC7XYC7liX/OvEsAh4ENiwkTwL+i/Ts8W1zWj/SkyXn5en+HhFPFaY5EPg56aloh7aR309I6/0wSWsCRwMn5TiIiP8F/k66/XEIMDci/p6HzY2IFzu6bGbdgQtz60n2A27Phfg8SR8lFdyHQmqOBl6NiGfy+IeQCp3JvLfge4FUw/90TfooGr/LGpa2CNwE7FNstq7jIWAzSWsDfSPiuZrhU4HNSe+Rfxl4XtL/Stq3ZQRJg4B3IuL15ch/idzisDVLa/h9SDXgn1NYPxHxKqmG/2dJkyUdXrycUMi/3jqtu/zAB4EXIuKNBst/BzAsX364RFJti4dZt+fC3HqSSaTCmfx/Eqk59+Bc4BSb2MeSansvAHcDYyQNrJnfOcCpdHA/krQasDdwcy6YHgD2aGuSjsw311b3BA4mNXtfIOmsPHh3UmG3PPkDbCxpOulk4aWIaGm+nwDcGxFvkV7rub+kXjmez5BaAx4ETgGuyPmvD2wC/CafUL0jaVQJy7+A1HR/HDAH+ImkozoyrVl34cLceoRcEO8M/I9SZ7VTSU3qs0hvdtuR9A72n+RJJpFqxTOBPwFr5+FL5Br8dFpfR36CVLDUswewDvBYnu8OtF07HQPMyAXvwjrXmD+a8yOSByPiHNJJSUusS66XL0f+sPSa+cbARyV9IqdPAnbN85kGrEtav+R4HouIC0jX1VtimQgMILUgzASGd2T5Sev//ZL6tbH8i/LljDOBz1HzW5l1dy7Mrac4GPhhRHwgIoZHxDBSIf5xUm38AuC5iJiVa+kTgdF53OEsfURtrW+Sap8trgG2k7RPS4Kkf8o10EnAZwrzHAHslq8Jt5Kbio8DWnqhnwdcKGmNPHxXUmF8jaQNJG1VmHxLUjO3gC1IJxwsS/61ImIucDrw5dzs/3Hg/YV5HQ9MkrSWpPG1sRTy37MwzUdpcN1c0kGkVoXJEbEQuAr4TkvtX9IRwJqkTnKbStqkQZ5mPYILc+spJpGuExfdkNN/Srr22tLx7ePA7JpOVPcDIyUNKc4gIp4gXdtt+f4WqQn6BEmzJD0D/Cupg9qepJ7uLeMuJF13b7nGfUi+repp4N+AgyKi5Ta5i4A/kGrVTwFnAPvl/HoD50t6MjeJHwJ8gVRYPhwRkQvs9vJvz82kAvQk4J6WDmfZz/J8egFfkvRUjuXrwFGShgMfAJbckpY76b1e6IB4UsutacCngJ0jYk4e9mXgbeDpPPyTwAGRHmG5FnBVvg3uUWAkcFYHl8msW/DjXM06Sb5GfEpEnFpR/l8Fno2Ia9sd2cyammvmZp0gNzVPocLXwEbE2S7IzXoG18zNzMyanGvmZmZmTc6FuZmZWZNzYW5mZtbkXJibmZk1ORfmZmZmTe7/A9n4XSUg0yR8AAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" } ], "source": [ @@ -365,6 +375,20 @@ "\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" ] }, @@ -372,7 +396,7 @@ "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. tts" + "Logo, como a acurácia foi baixa, podemos concluir que o indicador não é um bom preditor para o bloco escolhido." ] } ],