diff --git "a/03-\350\257\276\347\250\213\345\256\236\351\252\214/CS2102010/\351\241\271\347\233\256\344\273\243\347\240\201/global-education.py" "b/03-\350\257\276\347\250\213\345\256\236\351\252\214/CS2102010/\351\241\271\347\233\256\344\273\243\347\240\201/global-education.py" new file mode 100644 index 0000000000000000000000000000000000000000..ee42810e31951dc8ff87d6a2f0fd8b534ba1ae51 --- /dev/null +++ "b/03-\350\257\276\347\250\213\345\256\236\351\252\214/CS2102010/\351\241\271\347\233\256\344\273\243\347\240\201/global-education.py" @@ -0,0 +1,158 @@ +# -*- coding: utf-8 -*- +""" +Created on Sat Nov 18 14:28:44 2023 + +@author: 11431 +""" + +import pandas as pd + +# 读取数据文件 +data = pd.read_csv('D:/11431/学习/大三上/开源/Global_Education.csv', encoding='utf-8-sig') + +# 全球教育分析：评估不同国家和地区的教育状况，找出差距和趋势。 + +# 计算各指标的平均值 +mean_values = data.mean() + +# 提取第一行（除去第一个）作为列名 +column_names = data.columns[1:] + +# 找出失学率最高的国家/地区 +highest_dropout_rate_country = data['Countries and areas'][data['OOSR_Pre0Primary_Age_Male'].idxmax()] + +# 找出完成率最高的国家/地区 +highest_completion_rate_country = data['Countries and areas'][data['Completion_Rate_Upper_Secondary_Female'].idxmax()] + +# 打印结果 +print("平均指标值：") +print(mean_values) +print("失学率最高的国家/地区：", highest_dropout_rate_country) +print("完成率最高的国家/地区：", highest_completion_rate_country) + +# 创建保存结果的DataFrame +result_df = pd.DataFrame({'指标': column_names, + '平均指标值': mean_values, + '失学率最高的国家/地区': highest_dropout_rate_country, + '完成率最高的国家/地区': highest_completion_rate_country}) + +# 将分析结果存储到CSV文件 +result_df.to_csv('D:/11431/学习/大三上/开源/global_education_analysis.csv', index=False) + + + +# 性别差异：分析教育中基于性别的差异，包括失学率和识字率。 + +# 提取第一列作为新列的值 +first_column_values = data.iloc[:, 0] + +# 提取第一列的列名 +first_column_name = data.columns[0] + +# 计算男性和女性失学率的差异 +dropout_rate_diff = data['OOSR_Pre0Primary_Age_Male'] - data['OOSR_Pre0Primary_Age_Female'] + +# 计算男性和女性识字率的差异 +literacy_rate_diff = data['Youth_15_24_Literacy_Rate_Male'] - data['Youth_15_24_Literacy_Rate_Female'] + +# 打印结果 +print("男女失学率差异：") +print(dropout_rate_diff) +print("男女识字率差异：") +print(literacy_rate_diff) + +# 创建保存结果的DataFrame +result_df = pd.DataFrame({'国家/地区': first_column_values, + '男性和女性失学率的差异': dropout_rate_diff, + '男性和女性识字率的差异': literacy_rate_diff}) + +# 删除dropout_rate_diff和literacy_rate_diff都为0的行 +result_df = result_df[(result_df['男性和女性失学率的差异'] != 0) | (result_df['男性和女性识字率的差异'] != 0)] + +# 将分析结果存储到CSV文件 +result_df.to_csv('D:/11431/学习/大三上/开源/global_education_analysis2.csv', index=False) + + + +# 教育政策评估：使用完成率来评估教育政策的有效性。 + +# 提取第一列作为新列的值 +first_column_values = data.iloc[:, 0] + +# 提取第一列的列名 +first_column_name = data.columns[0] + +# 计算各教育阶段的平均完成率 +primary_completion_rate = (data['Completion_Rate_Primary_Male'] + data['Completion_Rate_Primary_Female']) / 2 +lower_secondary_completion_rate = (data['Completion_Rate_Lower_Secondary_Male'] + data['Completion_Rate_Lower_Secondary_Female']) / 2 +upper_secondary_completion_rate = (data['Completion_Rate_Upper_Secondary_Male'] + data['Completion_Rate_Upper_Secondary_Female']) / 2 + +# 打印结果 +print("初等教育完成率：") +print(primary_completion_rate) +print("初中教育完成率：") +print(lower_secondary_completion_rate) +print("高中教育完成率：") +print(upper_secondary_completion_rate) + +# 创建保存结果的DataFrame +result_df = pd.DataFrame({'国家/地区': first_column_values, + '初等教育完成率':primary_completion_rate, + '初中教育完成率':lower_secondary_completion_rate, + '高中教育完成率': upper_secondary_completion_rate}) +# 删除primary_completion_rate、lower_secondary_completion_rate和upper_secondary_completion_rate都为0的行 +result_df = result_df[(result_df['初等教育完成率'] != 0) | (result_df['初中教育完成率'] != 0)| (result_df['高中教育完成率'] != 0)] + +# 将分析结果存储到CSV文件 +result_df.to_csv('D:/11431/学习/大三上/开源/global_education_analysis3.csv', index=False) + + + +# 能力分析：调查不同教育水平的学生在阅读和数学方面的熟练程度。 + +# 提取第一列作为新列的值 +first_column_values = data.iloc[:, 0] + +# 提取第一列的列名 +first_column_name = data.columns[0] + +# 计算不同教育阶段学生的平均阅读和数学能力 +grade_2_3_reading = data['Grade_2_3_Proficiency_Reading'] +grade_2_3_math = data['Grade_2_3_Proficiency_Math'] +primary_end_reading = data['Primary_End_Proficiency_Reading'] +primary_end_math = data['Primary_End_Proficiency_Math'] +lower_secondary_end_reading = data['Lower_Secondary_End_Proficiency_Reading'] +lower_secondary_end_math = data['Lower_Secondary_End_Proficiency_Math'] + +# 打印结果 +print("Grade 2-3 阅读能力：") +print(grade_2_3_reading) +print("Grade 2-3 数学能力：") +print(grade_2_3_math) +print("初等教育结束时的阅读能力：") +print(primary_end_reading) +print("初等教育结束时的数学能力：") +print(primary_end_math) +print("初中教育结束时的阅读能力：") +print(lower_secondary_end_reading) +print("初中教育结束时的数学能力：") +print(lower_secondary_end_math) + +# 创建保存结果的DataFrame +result_df = pd.DataFrame({'国家/地区': first_column_values, + 'Grade 2-3 阅读能力':grade_2_3_reading, + 'Grade 2-3 数学能力':grade_2_3_math, + '初等教育结束时的阅读能力':primary_end_reading, + '初等教育结束时的数学能力':primary_end_math, + '初中教育结束时的阅读能力':lower_secondary_end_reading, + '初中教育结束时的数学能力': lower_secondary_end_math}) +# 删除所有阅读能力、数学能力都为0的行 +result_df = result_df[(result_df['Grade 2-3 阅读能力'] != 0) | (result_df['Grade 2-3 数学能力'] != 0)| + (result_df['初等教育结束时的阅读能力'] != 0)| (result_df['初等教育结束时的数学能力'] != 0)| + (result_df['初中教育结束时的阅读能力'] != 0)| (result_df['初中教育结束时的数学能力'] != 0)] + +# 将分析结果存储到CSV文件 +result_df.to_csv('D:/11431/学习/大三上/开源/global_education_analysis4.csv', index=False) + + + diff --git "a/03-\350\257\276\347\250\213\345\256\236\351\252\214/CS2102010/\351\241\271\347\233\256\346\210\252\345\233\276/\345\217\257\350\247\206\345\214\226\345\244\247\345\261\217\351\241\271\347\233\256\346\210\252\345\233\276.png" "b/03-\350\257\276\347\250\213\345\256\236\351\252\214/CS2102010/\351\241\271\347\233\256\346\210\252\345\233\276/\345\217\257\350\247\206\345\214\226\345\244\247\345\261\217\351\241\271\347\233\256\346\210\252\345\233\276.png" new file mode 100644 index 0000000000000000000000000000000000000000..59f58c4f78dd3b4da3b20ffa724d579029996e1b Binary files /dev/null and "b/03-\350\257\276\347\250\213\345\256\236\351\252\214/CS2102010/\351\241\271\347\233\256\346\210\252\345\233\276/\345\217\257\350\247\206\345\214\226\345\244\247\345\261\217\351\241\271\347\233\256\346\210\252\345\233\276.png" differ diff --git "a/03-\350\257\276\347\250\213\345\256\236\351\252\214/CS2102010/\351\241\271\347\233\256\346\225\260\346\215\256/Global_Education.csv" "b/03-\350\257\276\347\250\213\345\256\236\351\252\214/CS2102010/\351\241\271\347\233\256\346\225\260\346\215\256/Global_Education.csv" new file mode 100644 index 0000000000000000000000000000000000000000..23f1833ae0673b3d05842013fcfd682b6779516a --- /dev/null +++ "b/03-\350\257\276\347\250\213\345\256\236\351\252\214/CS2102010/\351\241\271\347\233\256\346\225\260\346\215\256/Global_Education.csv" @@ -0,0 +1,203 @@ +Countries and areas,Latitude ,Longitude,OOSR_Pre0Primary_Age_Male,OOSR_Pre0Primary_Age_Female,OOSR_Primary_Age_Male,OOSR_Primary_Age_Female,OOSR_Lower_Secondary_Age_Male,OOSR_Lower_Secondary_Age_Female,OOSR_Upper_Secondary_Age_Male,OOSR_Upper_Secondary_Age_Female,Completion_Rate_Primary_Male,Completion_Rate_Primary_Female,Completion_Rate_Lower_Secondary_Male,Completion_Rate_Lower_Secondary_Female,Completion_Rate_Upper_Secondary_Male,Completion_Rate_Upper_Secondary_Female,Grade_2_3_Proficiency_Reading,Grade_2_3_Proficiency_Math,Primary_End_Proficiency_Reading,Primary_End_Proficiency_Math,Lower_Secondary_End_Proficiency_Reading,Lower_Secondary_End_Proficiency_Math,Youth_15_24_Literacy_Rate_Male,Youth_15_24_Literacy_Rate_Female,Birth_Rate,Gross_Primary_Education_Enrollment,Gross_Tertiary_Education_Enrollment,Unemployment_Rate +Afghanistan,33.93911,67.709953,0,0,0,0,0,0,44,69,67,40,49,26,32,14,22,25,13,11,0,0,74,56,32.49,104,9.7,11.12 +Albania,41.153332,20.168331,4,2,6,3,6,1,21,15,94,96,98,97,76,80,0,0,0,0,48,58,99,100,11.78,107,55,12.33 +Algeria,28.033886,1.659626,0,0,0,0,0,0,0,0,93,93,49,65,22,37,0,0,0,0,21,19,98,97,24.28,109.9,51.4,11.7 +Andorra,42.506285,1.521801,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.2,106.4,0,0 +Angola,11.202692,17.873887,31,39,0,0,0,0,0,0,63,57,42,32,24,15,0,0,0,0,0,0,0,0,40.73,113.5,9.3,6.89 +Anguilla,18.220554,63.068615,14,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +Antigua and Barbuda,17.060816,61.796428,14,4,4,1,1,2,14,12,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.33,105,24.8,0 +Argentina,38.416097,63.616672,2,2,0,0,0,0,15,7,91,94,70,79,46,53,76,71,46,56,48,31,99,100,17.02,109.7,90,9.79 +Armenia,40.069099,45.038189,52,50,9,9,11,9,16,4,99,99,95,99,69,79,0,0,0,55,0,50,0,0,13.99,92.7,54.6,16.99 +Australia,25.274398,133.775136,13,14,0,0,2,3,10,6,0,0,0,0,0,0,94,70,0,64,80,78,0,0,12.6,100.3,113.1,5.27 +Austria,47.516231,14.550072,0,0,0,0,1,0,10,9,0,0,0,0,0,0,0,0,98,0,76,79,0,0,9.7,103.1,85.1,4.67 +Azerbaijan,40.143105,47.576927,32,19,10,7,0,0,0,0,0,0,0,0,0,0,0,0,81,0,0,0,0,0,14,99.7,27.7,5.51 +The Bahamas,25.03428,77.39628,0,0,0,0,23,21,29,24,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13.97,81.4,15.1,10.36 +Bahrain,26.0667,50.5577,31,28,2,3,7,0,18,6,0,0,0,0,0,0,69,40,0,0,0,39,100,99,13.99,99.4,50.5,0.71 +Bangladesh,23.684994,90.356331,0,0,0,0,0,0,41,36,76,89,59,71,32,27,47,34,44,32,54,57,94,96,18.18,116.5,20.6,4.19 +Barbados,13.193887,59.543198,6,10,1,2,7,3,7,3,99,99,98,98,91,97,0,0,0,0,0,0,0,0,10.65,99.4,65.4,10.33 +Belarus,53.709807,27.953389,0,4,1,2,1,1,6,4,100,100,100,100,91,94,0,0,0,0,77,71,100,100,9.9,100.5,87.4,4.59 +Belgium,50.503887,4.469936,3,2,1,0,1,1,1,2,0,0,0,0,0,0,0,0,0,0,79,80,0,0,10.3,103.9,79.7,5.59 +Belize,17.189877,88.49765,18,16,1,1,9,11,38,35,95,96,55,66,48,51,0,0,0,0,0,0,0,0,20.79,111.7,24.7,6.41 +Benin,9.30769,2.315834,15,16,3,10,27,43,46,66,51,44,25,13,12,5,9,34,23,11,0,0,70,52,36.22,122,12.3,2.23 +Bhutan,27.514162,90.433601,58,59,5,2,18,6,33,22,67,71,41,38,25,18,0,0,0,0,56,0,0,0,17.26,100.1,15.6,2.34 +Bolivia,16.290154,63.588653,9,8,5,5,13,14,22,22,0,0,0,0,0,0,0,0,0,0,0,0,0,0,21.75,98.2,0,3.5 +Bosnia and Herzegovina,43.915886,17.679076,72,73,0,0,0,0,22,19,99,100,97,97,92,92,0,0,0,0,46,42,0,0,8.11,0,23.3,18.42 +Botswana,22.328474,24.684866,79,78,12,10,0,0,0,0,95,98,92,92,55,66,0,0,0,16,0,0,0,0,24.82,103.2,24.9,18.19 +Brazil,14.235004,51.92528,0,1,1,1,2,3,16,14,95,97,81,89,65,75,80,71,53,52,50,32,99,99,13.92,115.4,51.3,12.08 +British Virgin Islands,18.420695,64.639968,9,2,4,3,8,7,24,16,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +Brunei,4.535277,114.727669,17,18,0,0,0,0,19,16,0,0,0,0,0,0,0,0,0,0,48,52,100,100,14.9,103.2,31.4,9.12 +Bulgaria,42.733883,25.48583,19,20,13,13,12,13,10,14,0,0,0,0,0,0,0,0,95,75,53,56,0,0,8.9,89.3,71,4.34 +Burkina Faso,12.238333,1.561593,81,81,21,22,48,44,67,65,32,29,13,6,6,2,36,59,21,22,0,0,62,55,37.93,96.1,6.5,6.26 +Burundi,3.373056,29.918886,52,50,9,6,36,31,67,62,46,54,26,19,4,3,79,97,7,40,0,0,0,0,39.01,121.4,6.1,1.43 +Cape Verde,16.5388,23.0418,19,19,6,7,14,13,29,24,0,0,0,0,0,0,0,0,0,0,0,0,0,0,19.49,104,23.6,12.25 +Cambodia,12.565679,104.990963,48,44,9,9,12,14,0,0,68,79,41,39,20,20,0,0,50,0,8,10,0,0,22.46,107.4,13.7,0.68 +Cameroon,7.369722,12.354722,56,57,4,13,33,40,50,58,75,74,52,43,26,21,30,57,24,12,0,0,88,82,35.39,103.4,12.8,3.38 +Canada,56.130366,106.346771,0,0,0,0,0,0,6,6,0,0,0,0,0,0,96,69,0,0,86,84,0,0,10.1,100.9,68.9,5.56 +Central African Republic,6.611111,20.939444,0,0,0,0,0,0,0,0,54,33,16,8,8,6,0,0,0,0,0,0,48,29,35.35,102,3,3.68 +Chad,15.454166,18.732207,85,87,17,35,55,70,71,85,31,24,18,10,15,6,18,48,3,3,0,0,0,0,42.17,86.8,3.3,1.89 +Chile,35.675147,71.542969,8,8,1,2,5,6,5,5,96,97,94,97,83,88,94,90,70,75,68,28,0,0,12.43,101.4,88.5,7.09 +China,35.86166,104.195397,0,0,0,0,0,0,0,0,97,97,93,93,63,67,82,85,0,0,80,79,100,100,10.9,100.2,50.6,4.32 +Colombia,4.570868,74.297333,3,1,3,2,6,5,22,20,91,95,74,81,69,78,79,64,55,48,50,35,99,99,14.88,114.5,55.3,9.71 +Comoros,11.6455,43.3333,71,70,18,18,20,18,52,48,75,77,47,45,24,32,0,0,0,0,0,0,78,78,31.88,99.5,9,4.34 +Republic of the Congo,0.228021,15.827659,71,70,15,16,0,0,0,0,78,82,56,45,28,19,38,72,17,6,0,0,85,79,32.86,106.6,12.7,9.47 +Cook Islands,21.236736,159.777671,3,0,2,2,4,6,30,27,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +Costa Rica,9.748917,83.753428,4,4,3,3,3,1,7,5,98,99,70,76,56,60,89,84,68,60,58,40,99,100,13.97,113.3,55.2,11.85 +Ivory Coast,7.539989,5.54708,78,78,2,8,41,48,52,64,60,53,36,22,17,15,17,33,22,3,0,0,64,53,35.74,99.8,9.3,3.32 +Croatia,45.1,15.2,5,5,0,0,3,1,16,11,0,0,0,0,0,0,0,0,0,67,78,69,0,0,9,96.5,67.9,6.93 +Cuba,21.521757,77.781167,2,2,1,1,10,10,20,15,100,98,95,98,85,86,0,0,0,0,0,0,0,0,10.17,101.9,41.4,1.64 +Cyprus,35.126413,33.429859,1,2,0,1,2,2,6,8,0,0,0,0,0,0,0,74,0,0,56,63,0,0,10.46,99.3,75.9,7.27 +Czech Republic,49.817492,15.472962,10,10,1,0,1,2,3,3,0,0,0,0,0,0,97,78,0,0,79,80,0,0,10.7,100.7,64.1,1.93 +North Korea,40.339852,127.510093,0,0,0,0,0,0,0,0,100,100,100,100,100,100,94,0,0,0,0,0,0,0,13.89,112.8,27,2.74 +Democratic Republic of the Congo,4.038333,21.758664,0,0,0,0,0,0,0,0,67,66,58,52,36,27,0,0,0,0,0,0,0,0,41.18,108,6.6,4.24 +Denmark,56.26392,9.501785,2,2,1,0,0,1,11,9,0,0,0,0,0,0,97,80,0,0,84,85,0,0,10.6,101.3,80.6,4.91 +Djibouti,11.825138,42.590275,85,88,32,35,48,48,66,67,0,0,0,0,0,0,0,0,0,0,0,0,0,0,21.47,75.3,5.3,10.3 +Dominica,15.414999,61.370976,21,7,4,3,3,1,19,17,0,0,0,0,0,0,0,0,0,0,0,0,0,0,12,114.7,7.2,0 +Dominican Republic,18.735693,70.162651,7,6,4,4,6,6,23,21,88,94,76,89,48,66,44,25,21,12,21,9,0,0,19.51,105.7,59.9,5.84 +Ecuador,1.831239,78.183406,8,3,0,0,6,3,20,18,98,98,89,92,78,79,74,65,38,48,49,29,0,0,19.72,103.3,44.9,3.97 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Zealand,40.900557,174.885971,6,7,1,1,1,1,4,1,0,0,0,0,0,0,90,59,0,0,81,78,0,0,11.98,100,82,4.07 +Nicaragua,12.865416,85.207229,0,0,0,0,0,0,0,0,0,0,0,0,0,0,61,44,31,20,0,0,0,0,20.64,120.6,17.4,6.84 +Niger,17.607789,8.081666,76,76,37,45,61,69,84,89,35,24,10,4,4,1,9,27,2,1,0,0,51,36,46.08,74.7,4.4,0.47 +Nigeria,9.081999,8.675277,0,0,0,0,0,0,0,0,71,71,66,59,57,44,0,0,0,0,0,0,82,68,37.91,84.7,10.2,8.1 +Niue,19.054445,169.867233,13,38,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +North Macedonia,41.608635,21.745275,51,51,1,1,0,0,0,0,97,100,93,95,86,79,0,0,0,0,45,39,0,0,0,0,0,0 +Norway,60.472024,8.468946,3,3,0,0,0,1,8,7,0,0,0,0,0,0,99,86,0,70,81,81,0,0,10.4,100.3,82,3.35 +Oman,21.4735329,55.975413,16,13,0,0,0,0,8,17,0,0,0,0,0,0,59,32,0,0,0,23,98,99,19.19,103.4,38,2.67 +Pakistan,30.375321,69.345116,0,14,0,0,0,0,0,0,64,55,55,45,24,23,35,0,0,0,0,0,0,0,28.25,94.3,9,4.45 +Palau,7.51498,134.58252,0,19,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,14,112.6,54.7,0 +Panama,8.537981,80.782127,25,23,13,14,13,12,35,31,95,96,75,81,57,68,65,51,36,23,36,19,99,99,18.98,94.4,47.8,3.9 +Papua New Guinea,6.314993,143.95555,28,29,4,10,10,19,40,51,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.07,108.5,1.8,2.46 +Paraguay,23.442503,58.443832,31,30,0,0,0,0,33,30,93,96,81,79,60,67,61,47,29,23,32,8,98,99,20.57,104.4,34.6,4.81 +Peru,9.189967,75.015152,1,1,0,0,3,3,15,21,95,95,83,83,78,72,80,70,46,53,46,40,99,99,17.95,106.9,70.7,3.31 +Philippines,12.879721,121.774017,14,13,3,3,14,7,24,17,89,95,75,88,74,83,0,0,0,0,19,19,0,0,20.55,107.5,35.5,2.15 +Poland,51.919438,19.145136,4,5,2,2,1,3,4,4,0,0,0,0,0,0,98,80,0,0,85,85,0,0,10.2,100,67.8,3.47 +Portugal,39.399872,8.224454,5,6,0,1,0,0,2,4,0,0,0,0,0,0,97,82,0,0,80,77,100,100,8.5,106.2,63.9,6.33 +Qatar,25.354826,51.183884,10,7,3,0,1,9,0,0,0,0,0,0,0,0,66,36,0,0,49,36,0,0,9.54,103.8,17.9,0.09 +South Korea,35.907757,127.766922,1,1,1,1,3,3,4,4,0,0,0,0,0,0,0,97,0,0,85,85,0,0,6.4,98.1,94.3,4.15 +Moldova,47.411631,28.369885,5,5,9,11,15,16,36,35,99,99,95,98,63,71,0,0,0,0,57,50,0,0,10.1,90.6,39.8,5.47 +Romania,45.943161,24.96676,18,18,12,13,9,9,21,19,0,0,0,0,0,0,0,0,0,0,59,53,99,99,9.6,85.2,49.4,3.98 +Russia,61.52401,105.318756,9,10,1,0,2,1,3,3,0,0,0,0,0,0,0,0,99,89,78,78,100,100,11.5,102.6,81.9,4.59 +Rwanda,1.940278,29.873888,48,47,6,6,6,2,50,49,48,61,25,30,19,16,0,0,0,0,0,0,84,89,31.7,133,6.7,1.03 +Saint Kitts and Nevis,17.357822,62.782998,0,21,0,0,0,0,4,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,12.6,108.7,86.7,0 +Saint Lucia,13.909444,60.978893,5,0,3,0,9,10,20,21,99,99,85,98,70,90,0,0,0,0,0,0,0,0,12,102.6,14.1,20.71 +Saint Vincent and the Grenadines,12.984305,61.287228,9,3,0,0,1,2,16,14,0,0,0,0,0,0,0,0,0,0,0,0,0,0,14.24,113.4,23.7,18.88 +Samoa,13.759029,172.104629,65,65,0,0,0,0,15,5,0,0,0,0,0,0,0,0,0,0,0,0,99,99,24.38,110.5,7.6,8.36 +San Marino,43.94236,12.457777,12,14,0,0,0,0,51,57,0,0,0,0,0,0,0,0,0,0,0,0,100,100,6.8,108.1,42.5,0 +S锟斤拷锟斤拷锟斤拷锟斤?0.18636,6.613081,49,46,6,6,12,7,19,16,79,86,32,36,4,8,0,0,0,0,0,0,98,98,31.54,106.8,13.4,13.37 +Saudi Arabia,23.885942,45.079162,51,48,1,3,0,3,3,9,0,0,0,0,0,0,63,16,0,0,48,11,0,0,17.8,99.8,68,5.93 +Senegal,14.497401,14.452362,85,83,30,21,0,0,0,0,44,50,27,30,11,10,29,63,35,29,9,8,0,0,34.52,81,12.8,6.6 +Serbia,44.016521,21.005859,9,10,2,2,2,2,14,11,99,100,99,99,71,81,0,0,0,72,62,60,0,0,9.2,100.3,67.2,12.69 +Seychelles,4.679574,55.491977,9,6,0,0,0,0,24,12,0,0,0,0,0,0,0,0,0,0,0,0,99,100,17.1,100.4,17.1,0 +Sierra Leone,8.460555,11.779889,58,57,2,2,49,49,64,67,63,65,47,42,27,18,6,0,0,0,0,0,71,63,33.41,112.8,2,4.43 +Singapore,1.352083,103.819836,0,0,0,0,0,1,0,0,0,0,0,0,0,0,97,93,0,0,89,94,100,100,8.8,100.6,84.8,4.11 +Slovakia,48.669026,19.699024,15,17,5,4,5,5,11,11,0,0,0,0,0,0,0,0,93,65,69,75,0,0,10.6,98.7,46.6,5.56 +Slovenia,46.151241,14.995463,5,6,1,0,2,1,2,1,0,0,0,0,0,0,96,75,0,0,82,84,0,0,9.4,100.4,78.6,4.2 +Solomon Islands,9.64571,160.156194,36,33,9,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,32.44,106.2,0,0.58 +Somalia,5.152149,46.199616,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,41.75,23.4,2.5,11.35 +South Africa,30.559482,22.937506,28,27,12,10,16,13,22,20,95,98,85,91,45,52,22,0,0,13,0,0,0,0,20.51,100.9,22.4,28.18 +South Sudan,6.8769919,31.3069788,78,81,58,67,49,63,57,72,31,18,22,10,12,4,0,0,0,0,0,0,48,47,35.01,73,0,12.24 +Spain,40.463667,3.74922,5,5,3,3,1,1,2,1,0,0,0,0,0,0,97,67,0,0,84,75,100,100,7.9,102.7,88.9,13.96 +Sri Lanka,7.873054,80.771797,0,0,2,3,0,0,18,13,99,99,94,96,32,43,0,0,0,0,0,0,99,99,15.83,100.2,19.6,4.2 +Palestinian National Authority,31.952162,35.233154,35,34,3,3,4,1,32,18,99,100,80,93,52,73,0,0,0,0,0,0,99,99,0,0,0,0 +Sudan,12.862807,30.217636,60,60,31,35,33,35,53,50,66,64,49,52,33,28,0,0,0,0,0,0,73,73,32.18,76.8,16.9,16.53 +Suriname,3.919305,56.027783,12,10,14,11,19,11,42,34,80,90,41,58,18,26,30,0,0,0,0,0,99,98,18.54,108.8,12.6,7.33 +Sweden,60.128161,18.643501,0,0,0,0,0,0,1,3,0,0,0,0,0,0,98,75,0,0,82,81,0,0,11.4,126.6,67,6.48 +Switzerland,46.818188,8.227512,1,0,0,0,1,1,16,20,0,0,0,0,0,0,0,0,0,0,76,83,0,0,10,105.2,59.6,4.58 +Syria,34.802075,38.996815,60,61,27,28,37,39,66,66,0,0,0,0,0,0,0,0,0,0,0,0,0,0,23.69,81.7,40.1,8.37 +Tajikistan,38.861034,71.276093,87,88,1,2,0,0,0,0,99,98,95,93,80,63,0,0,0,0,0,0,0,0,30.76,100.9,31.3,11.02 +Thailand,15.870032,100.992541,1,1,0,0,0,0,21,21,98,99,81,92,59,72,0,0,0,0,40,47,98,99,10.34,99.8,49.3,0.75 +East Timor,8.874217,125.727539,51,48,7,3,12,9,27,22,77,85,63,70,49,55,0,0,0,0,0,0,82,85,29.42,115.3,17.8,4.55 +Togo,8.619543,0.824782,1,7,2,4,15,28,47,66,83,76,55,39,31,12,19,40,16,20,0,0,0,0,33.11,123.8,14.5,2.04 +Tokelau,9.2002,171.8484,20,0,0,0,0,0,53,30,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +Tonga,21.178986,175.198242,0,0,0,0,6,4,43,33,98,99,65,76,45,56,0,0,0,0,0,0,99,100,24.3,116.3,6.4,1.12 +Trinidad and Tobago,10.691803,61.222503,0,0,0,0,0,0,0,0,0,0,0,0,0,0,80,0,0,0,58,48,0,0,12.94,106.2,12,2.69 +Tunisia,33.886917,9.537499,0,0,0,0,0,0,0,0,94,97,68,80,40,57,47,0,0,0,28,25,0,0,17.56,115.4,31.7,16.02 +Turkey,38.963745,35.243322,23,25,5,5,6,7,17,17,99,98,96,92,51,44,0,0,0,57,74,42,0,0,16.03,93.2,23.9,13.49 +Turkmenistan,38.969719,59.556278,0,0,0,0,0,0,0,0,100,100,99,100,93,95,0,0,0,0,0,0,0,0,23.83,88.4,8,3.91 +Turks and Caicos Islands,21.694025,71.797928,19,0,0,0,22,17,29,35,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +Tuvalu,7.109535,177.64933,13,9,13,17,27,32,61,39,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +Uganda,1.373333,32.290275,0,0,6,3,0,0,0,0,39,43,27,23,18,15,33,21,0,0,0,0,89,90,38.14,102.7,4.8,1.84 +Ukraine,48.379433,31.16558,0,0,9,7,4,3,7,4,100,99,100,100,97,97,0,0,0,0,74,64,0,0,8.7,99,82.7,8.88 +United Arab Emirates,23.424076,53.847818,0,0,8,5,2,3,2,2,0,0,0,0,0,0,68,42,0,0,57,46,0,0,10.33,108.4,36.8,2.35 +United Kingdom,55.378051,3.435973,3,0,1,1,2,2,5,4,0,0,0,0,0,0,0,0,0,0,83,81,0,0,11,101.2,60,3.85 +Tanzania,6.369028,34.888822,45,42,15,12,0,0,84,88,75,84,31,27,32,27,0,0,0,0,0,0,0,0,36.7,94.2,4,1.98 +United States,37.09024,95.712891,12,8,1,1,3,1,4,3,0,0,0,0,0,0,0,0,0,0,81,73,0,0,11.6,101.8,88.2,14.7 +Uruguay,32.522779,55.765835,2,1,3,3,1,0,15,9,96,98,66,73,48,29,80,75,59,68,58,49,99,99,13.86,108.5,63.1,8.73 +Uzbekistan,41.377491,64.585262,53,55,0,2,0,2,14,15,0,0,0,0,0,0,0,0,0,0,0,0,100,100,23.3,104.2,10.1,5.92 +Vanuatu,15.376706,166.959158,38,38,8,7,2,4,41,46,0,0,0,0,0,0,0,0,0,0,0,0,96,97,29.6,109.3,4.7,4.39 +Venezuela,6.42375,66.58973,14,14,10,10,15,13,28,19,0,0,0,0,0,0,0,0,0,0,0,0,0,0,17.88,97.2,79.3,8.8 +Vietnam,14.058324,108.277199,0,0,0,0,0,0,0,0,96,97,81,87,50,61,0,0,55,51,86,81,98,98,16.75,110.6,28.5,2.01 +Yemen,15.552727,48.516388,96,96,10,21,23,34,46,68,70,55,55,39,37,23,0,0,0,0,0,0,0,0,30.45,93.6,10.2,12.91 +Zambia,13.133897,27.849332,0,0,17,13,0,0,0,0,71,73,54,50,33,27,0,0,0,0,5,2,93,92,36.19,98.7,4.1,11.43 +Zimbabwe,19.015438,29.154857,60,58,0,0,0,0,45,50,86,92,45,53,17,14,20,0,0,0,0,0,0,0,30.68,109.9,10,4.95 diff --git "a/03-\350\257\276\347\250\213\345\256\236\351\252\214/CS2102010/\351\241\271\347\233\256\346\225\260\346\215\256/global_education_analysis.csv" "b/03-\350\257\276\347\250\213\345\256\236\351\252\214/CS2102010/\351\241\271\347\233\256\346\225\260\346\215\256/global_education_analysis.csv" new file mode 100644 index 0000000000000000000000000000000000000000..8c4c7b7d4da1c11692ec5db076d00ae116dc47bc --- /dev/null +++ "b/03-\350\257\276\347\250\213\345\256\236\351\252\214/CS2102010/\351\241\271\347\233\256\346\225\260\346\215\256/global_education_analysis.csv" @@ -0,0 +1,29 @@ +指标,平均指标值,失学率最高的国家/地区,完成率最高的国家/地区 +Latitude ,25.113237654455418,Yemen,North Korea +Longitude,55.37676437772275,Yemen,North Korea +OOSR_Pre0Primary_Age_Male,19.643564356435643,Yemen,North Korea +OOSR_Pre0Primary_Age_Female,19.084158415841586,Yemen,North Korea +OOSR_Primary_Age_Male,5.282178217821782,Yemen,North Korea +OOSR_Primary_Age_Female,5.599009900990099,Yemen,North Korea +OOSR_Lower_Secondary_Age_Male,8.683168316831683,Yemen,North Korea +OOSR_Lower_Secondary_Age_Female,8.891089108910892,Yemen,North Korea +OOSR_Upper_Secondary_Age_Male,20.277227722772277,Yemen,North Korea +OOSR_Upper_Secondary_Age_Female,20.287128712871286,Yemen,North Korea +Completion_Rate_Primary_Male,41.757425742574256,Yemen,North Korea +Completion_Rate_Primary_Female,41.86138613861386,Yemen,North Korea +Completion_Rate_Lower_Secondary_Male,32.757425742574256,Yemen,North Korea +Completion_Rate_Lower_Secondary_Female,33.00990099009901,Yemen,North Korea +Completion_Rate_Upper_Secondary_Male,22.702970297029704,Yemen,North Korea +Completion_Rate_Upper_Secondary_Female,23.02970297029703,Yemen,North Korea +Grade_2_3_Proficiency_Reading,21.980198019801982,Yemen,North Korea +Grade_2_3_Proficiency_Math,17.440594059405942,Yemen,North Korea +Primary_End_Proficiency_Reading,10.717821782178218,Yemen,North Korea +Primary_End_Proficiency_Math,10.376237623762377,Yemen,North Korea +Lower_Secondary_End_Proficiency_Reading,25.787128712871286,Yemen,North Korea +Lower_Secondary_End_Proficiency_Math,24.935643564356436,Yemen,North Korea +Youth_15_24_Literacy_Rate_Male,35.801980198019805,Yemen,North Korea +Youth_15_24_Literacy_Rate_Female,34.755148514851484,Yemen,North Korea +Birth_Rate,19.286584158415838,Yemen,North Korea +Gross_Primary_Education_Enrollment,94.480198019802,Yemen,North Korea +Gross_Tertiary_Education_Enrollment,34.39242574257426,Yemen,North Korea +Unemployment_Rate,5.963333333333334,Yemen,North Korea diff --git "a/03-\350\257\276\347\250\213\345\256\236\351\252\214/CS2102010/\351\241\271\347\233\256\346\225\260\346\215\256/global_education_analysis2.csv" "b/03-\350\257\276\347\250\213\345\256\236\351\252\214/CS2102010/\351\241\271\347\233\256\346\225\260\346\215\256/global_education_analysis2.csv" new file mode 100644 index 0000000000000000000000000000000000000000..f0d5d47e044caf57df7acc10d61c5e2df446e349 --- /dev/null +++ "b/03-\350\257\276\347\250\213\345\256\236\351\252\214/CS2102010/\351\241\271\347\233\256\346\225\260\346\215\256/global_education_analysis2.csv" @@ -0,0 +1,140 @@ +国家/地区,男性和女性失学率的差异,男性和女性识字率的差异 +Afghanistan,0,18.0 +Albania,2,-1.0 +Algeria,0,1.0 +Angola,-8,0.0 +Anguilla,14,0.0 +Antigua and Barbuda,10,0.0 +Argentina,0,-1.0 +Armenia,2,0.0 +Australia,-1,0.0 +Azerbaijan,13,0.0 +Bahrain,3,1.0 +Bangladesh,0,-2.0 +Barbados,-4,0.0 +Belarus,-4,0.0 +Belgium,1,0.0 +Belize,2,0.0 +Benin,-1,18.0 +Bhutan,-1,0.0 +Bolivia,1,0.0 +Bosnia and Herzegovina,-1,0.0 +Botswana,1,0.0 +Brazil,-1,0.0 +British Virgin Islands,7,0.0 +Brunei,-1,0.0 +Bulgaria,-1,0.0 +Burkina Faso,0,7.0 +Burundi,2,0.0 +Cambodia,4,0.0 +Cameroon,-1,6.0 +Central African Republic,0,19.0 +Chad,-2,0.0 +Colombia,2,0.0 +Comoros,1,0.0 +Republic of the Congo,1,6.0 +Cook Islands,3,0.0 +Costa Rica,0,-1.0 +Ivory Coast,0,11.0 +Cyprus,-1,0.0 +Djibouti,-3,0.0 +Dominica,14,0.0 +Dominican Republic,1,0.0 +Ecuador,5,0.0 +El Salvador,1,0.0 +Equatorial Guinea,2,0.0 +Eritrea,0,1.0 +Eswatini,0,-3.0 +Ethiopia,-2,0.0 +Fiji,-1,0.0 +Finland,-1,0.0 +Gabon,0,-3.0 +The Gambia,6,0.0 +Ghana,2,1.0 +Greece,1,0.0 +Grenada,3,0.0 +Guinea,-3,27.0 +Honduras,2,-3.0 +Hungary,-2,0.0 +Iceland,1,0.0 +India,0,3.0 +Indonesia,6,0.0 +Iran,1,0.0 +Israel,1,0.0 +Italy,-1,0.0 +Jamaica,2,0.0 +Kazakhstan,-1,0.0 +Kuwait,5,-1.0 +Kyrgyzstan,1,0.0 +Laos,1,0.0 +Lesotho,1,0.0 +Liechtenstein,-1,0.0 +Madagascar,5,1.0 +Maldives,3,0.0 +Mali,-4,15.0 +Malta,-5,-1.0 +Marshall Islands,1,0.0 +Mauritius,1,0.0 +Mexico,2,0.0 +Federated States of Micronesia,-4,0.0 +Mongolia,-2,-1.0 +Montenegro,-1,0.0 +Montserrat,5,0.0 +Morocco,-8,1.0 +Namibia,3,-2.0 +Nauru,8,0.0 +Nepal,-8,3.0 +Netherlands,1,0.0 +New Zealand,-1,0.0 +Niger,0,15.0 +Nigeria,0,14.0 +Niue,-25,0.0 +Oman,3,-1.0 +Pakistan,-14,0.0 +Palau,-19,0.0 +Panama,2,0.0 +Papua New Guinea,-1,0.0 +Paraguay,1,-1.0 +Philippines,1,0.0 +Poland,-1,0.0 +Portugal,-1,0.0 +Qatar,3,0.0 +Russia,-1,0.0 +Rwanda,1,-5.0 +Saint Kitts and Nevis,-21,0.0 +Saint Lucia,5,0.0 +Saint Vincent and the Grenadines,6,0.0 +San Marino,-2,0.0 +S锟斤拷锟斤拷锟斤拷锟斤?0.18636,40,66.46000000000001 +Saudi Arabia,3,0.0 +Senegal,2,0.0 +Serbia,-1,0.0 +Seychelles,3,-1.0 +Sierra Leone,1,8.0 +Slovakia,-2,0.0 +Slovenia,-1,0.0 +Solomon Islands,3,0.0 +South Africa,1,0.0 +South Sudan,-3,1.0 +Palestinian National Authority,1,0.0 +Suriname,2,1.0 +Switzerland,1,0.0 +Syria,-1,0.0 +Tajikistan,-1,0.0 +Thailand,0,-1.0 +East Timor,3,-3.0 +Togo,-6,0.0 +Tokelau,20,0.0 +Tonga,0,-1.0 +Turkey,-2,0.0 +Turks and Caicos Islands,19,0.0 +Tuvalu,4,0.0 +Uganda,0,-1.0 +United Kingdom,3,0.0 +Tanzania,3,0.0 +United States,4,0.0 +Uruguay,1,0.0 +Uzbekistan,-2,0.0 +Vanuatu,0,-1.0 +Zambia,0,1.0 +Zimbabwe,2,0.0 diff --git "a/03-\350\257\276\347\250\213\345\256\236\351\252\214/CS2102010/\351\241\271\347\233\256\346\225\260\346\215\256/global_education_analysis3.csv" "b/03-\350\257\276\347\250\213\345\256\236\351\252\214/CS2102010/\351\241\271\347\233\256\346\225\260\346\215\256/global_education_analysis3.csv" new file mode 100644 index 0000000000000000000000000000000000000000..c10d85869486728cfd91b7092550df39ab4ed32e --- /dev/null +++ "b/03-\350\257\276\347\250\213\345\256\236\351\252\214/CS2102010/\351\241\271\347\233\256\346\225\260\346\215\256/global_education_analysis3.csv" @@ -0,0 +1,108 @@ +国家/地区,初等教育完成率,初中教育完成率,高中教育完成率 +Afghanistan,53.5,37.5,23.0 +Albania,95.0,97.5,78.0 +Algeria,93.0,57.0,29.5 +Angola,60.0,37.0,19.5 +Argentina,92.5,74.5,49.5 +Armenia,99.0,97.0,74.0 +Bangladesh,82.5,65.0,29.5 +Barbados,99.0,98.0,94.0 +Belarus,100.0,100.0,92.5 +Belize,95.5,60.5,49.5 +Benin,47.5,19.0,8.5 +Bhutan,69.0,39.5,21.5 +Bosnia and Herzegovina,99.5,97.0,92.0 +Botswana,96.5,92.0,60.5 +Brazil,96.0,85.0,70.0 +Burkina Faso,30.5,9.5,4.0 +Burundi,50.0,22.5,3.5 +Cambodia,73.5,40.0,20.0 +Cameroon,74.5,47.5,23.5 +Central African Republic,43.5,12.0,7.0 +Chad,27.5,14.0,10.5 +Chile,96.5,95.5,85.5 +China,97.0,93.0,65.0 +Colombia,93.0,77.5,73.5 +Comoros,76.0,46.0,28.0 +Republic of the Congo,80.0,50.5,23.5 +Costa Rica,98.5,73.0,58.0 +Ivory Coast,56.5,29.0,16.0 +Cuba,99.0,96.5,85.5 +North Korea,100.0,100.0,100.0 +Democratic Republic of the Congo,66.5,55.0,31.5 +Dominican Republic,91.0,82.5,57.0 +Ecuador,98.0,90.5,78.5 +Egypt,91.5,80.0,42.0 +El Salvador,86.5,73.5,35.0 +Eswatini,70.5,50.5,32.0 +Ethiopia,47.5,20.5,12.5 +Gabon,70.5,32.5,14.0 +The Gambia,62.0,49.0,30.5 +Georgia,100.0,98.0,81.0 +Ghana,71.0,47.5,10.5 +Guatemala,78.0,48.5,26.0 +Guinea,45.5,26.5,17.5 +Guinea0Bissau,27.0,17.0,11.0 +Guyana,97.5,84.0,56.5 +Haiti,53.5,35.0,16.5 +Honduras,84.0,49.0,32.0 +India,91.5,80.5,43.0 +Indonesia,91.5,61.5,38.5 +Iraq,75.5,46.5,44.0 +Jamaica,99.5,97.0,81.5 +Jordan,96.5,87.0,56.0 +Kazakhstan,100.0,100.0,95.5 +Kenya,79.5,65.0,41.0 +Kiribati,94.0,78.5,16.5 +Kyrgyzstan,99.5,99.0,87.0 +Laos,83.5,53.5,31.5 +Lesotho,80.5,44.0,32.0 +Liberia,34.5,26.0,13.5 +Madagascar,56.0,26.5,15.5 +Malawi,47.5,22.0,14.0 +Mali,45.5,30.5,17.5 +Mauritania,63.0,46.5,27.0 +Mexico,98.0,88.5,58.0 +Mongolia,97.0,90.0,66.5 +Montenegro,96.5,95.0,86.5 +Mozambique,41.5,13.0,6.5 +Myanmar,83.0,45.0,16.5 +Namibia,80.5,55.0,36.0 +Nepal,82.0,73.0,27.5 +Niger,29.5,7.0,2.5 +Nigeria,71.0,62.5,50.5 +North Macedonia,98.5,94.0,82.5 +Pakistan,59.5,50.0,23.5 +Panama,95.5,78.0,62.5 +Paraguay,94.5,80.0,63.5 +Peru,95.0,83.0,75.0 +Philippines,92.0,81.5,78.5 +Moldova,99.0,96.5,67.0 +Rwanda,54.5,27.5,17.5 +Saint Lucia,99.0,91.5,80.0 +S锟斤拷锟斤拷锟斤拷锟斤?0.18636,59.0,20.0,4.0 +Senegal,47.0,28.5,10.5 +Serbia,99.5,99.0,76.0 +Sierra Leone,64.0,44.5,22.5 +South Africa,96.5,88.0,48.5 +South Sudan,24.5,16.0,8.0 +Sri Lanka,99.0,95.0,37.5 +Palestinian National Authority,99.5,86.5,62.5 +Sudan,65.0,50.5,30.5 +Suriname,85.0,49.5,22.0 +Tajikistan,98.5,94.0,71.5 +Thailand,98.5,86.5,65.5 +East Timor,81.0,66.5,52.0 +Togo,79.5,47.0,21.5 +Tonga,98.5,70.5,50.5 +Tunisia,95.5,74.0,48.5 +Turkey,98.5,94.0,47.5 +Turkmenistan,100.0,99.5,94.0 +Uganda,41.0,25.0,16.5 +Ukraine,99.5,100.0,97.0 +Tanzania,79.5,29.0,29.5 +Uruguay,97.0,69.5,38.5 +Vietnam,96.5,84.0,55.5 +Yemen,62.5,47.0,30.0 +Zambia,72.0,52.0,30.0 +Zimbabwe,89.0,49.0,15.5 diff --git "a/03-\350\257\276\347\250\213\345\256\236\351\252\214/CS2102010/\351\241\271\347\233\256\346\225\260\346\215\256/global_education_analysis4.csv" "b/03-\350\257\276\347\250\213\345\256\236\351\252\214/CS2102010/\351\241\271\347\233\256\346\225\260\346\215\256/global_education_analysis4.csv" new file mode 100644 index 0000000000000000000000000000000000000000..f320c9060248faaafd5234a7506d8f3dc1bf01a4 --- /dev/null +++ "b/03-\350\257\276\347\250\213\345\256\236\351\252\214/CS2102010/\351\241\271\347\233\256\346\225\260\346\215\256/global_education_analysis4.csv" @@ -0,0 +1,123 @@ +国家/地区,Grade 2-3 阅读能力,Grade 2-3 数学能力,初等教育结束时的阅读能力,初等教育结束时的数学能力,初中教育结束时的阅读能力,初中教育结束时的数学能力 +Afghanistan,22,25,13,11,0,0 +Albania,0,0,0,0,48,58 +Algeria,0,0,0,0,21,19 +Argentina,76,71,46,56,48,31 +Armenia,0,0,0,55,0,50 +Australia,94,70,0,64,80,78 +Austria,0,0,98,0,76,79 +Azerbaijan,0,0,81,0,0,0 +Bahrain,69,40,0,0,0,39 +Bangladesh,47,34,44,32,54,57 +Belarus,0,0,0,0,77,71 +Belgium,0,0,0,0,79,80 +Benin,9,34,23,11,0,0 +Bhutan,0,0,0,0,56,0 +Bosnia and Herzegovina,0,0,0,0,46,42 +Botswana,0,0,0,16,0,0 +Brazil,80,71,53,52,50,32 +Brunei,0,0,0,0,48,52 +Bulgaria,0,0,95,75,53,56 +Burkina Faso,36,59,21,22,0,0 +Burundi,79,97,7,40,0,0 +Cambodia,0,0,50,0,8,10 +Cameroon,30,57,24,12,0,0 +Canada,96,69,0,0,86,84 +Chad,18,48,3,3,0,0 +Chile,94,90,70,75,68,28 +China,82,85,0,0,80,79 +Colombia,79,64,55,48,50,35 +Republic of the Congo,38,72,17,6,0,0 +Costa Rica,89,84,68,60,58,40 +Ivory Coast,17,33,22,3,0,0 +Croatia,0,0,0,67,78,69 +Cyprus,0,74,0,0,56,63 +Czech Republic,97,78,0,0,79,80 +North Korea,94,0,0,0,0,0 +Denmark,97,80,0,0,84,85 +Dominican Republic,44,25,21,12,21,9 +Ecuador,74,65,38,48,49,29 +Egypt,0,0,0,0,0,21 +Estonia,0,0,0,0,89,90 +Finland,98,82,0,0,86,85 +France,0,0,94,58,79,79 +The Gambia,5,0,0,0,0,0 +Georgia,86,47,0,0,36,39 +Germany,0,0,95,77,79,79 +Greece,0,0,0,0,69,64 +Guatemala,68,52,36,34,30,11 +Honduras,70,57,31,32,30,15 +Hungary,0,0,97,75,75,67 +Iceland,0,0,0,0,74,79 +India,47,53,46,44,0,0 +Indonesia,0,18,0,0,30,28 +Iran,66,33,0,0,0,34 +Republic of Ireland,98,84,0,0,88,84 +Israel,91,0,0,0,69,66 +Italy,98,69,0,0,77,62 +Japan,0,95,0,0,83,89 +Jordan,0,0,0,0,59,41 +Kazakhstan,0,0,98,80,36,51 +Kenya,53,42,0,0,0,0 +Kuwait,0,12,0,0,0,18 +Kyrgyzstan,39,0,36,35,0,0 +Latvia,99,0,0,0,78,83 +Lebanon,0,0,0,0,32,35 +Lesotho,13,0,0,0,0,0 +Lithuania,0,0,97,81,76,74 +Luxembourg,0,0,0,0,71,73 +Madagascar,13,0,4,5,0,0 +Malaysia,0,0,0,0,54,59 +Malta,73,0,0,0,64,62 +Mauritius,0,0,88,78,0,0 +Mexico,78,77,58,69,55,44 +Mongolia,44,0,0,0,0,0 +Montenegro,0,0,0,0,56,54 +Morocco,36,16,0,0,27,14 +Namibia,0,0,35,6,0,0 +Netherlands,99,83,0,0,76,84 +New Zealand,90,59,0,0,81,78 +Nicaragua,61,44,31,20,0,0 +Niger,9,27,2,1,0,0 +North Macedonia,0,0,0,0,45,39 +Norway,99,86,0,70,81,81 +Oman,59,32,0,0,0,23 +Pakistan,35,0,0,0,0,0 +Panama,65,51,36,23,36,19 +Paraguay,61,47,29,23,32,8 +Peru,80,70,46,53,46,40 +Philippines,0,0,0,0,19,19 +Poland,98,80,0,0,85,85 +Portugal,97,82,0,0,80,77 +Qatar,66,36,0,0,49,36 +South Korea,0,97,0,0,85,85 +Moldova,0,0,0,0,57,50 +Romania,0,0,0,0,59,53 +Russia,0,0,99,89,78,78 +S锟斤拷锟斤拷锟斤拷锟斤?0.18636,0,0,0,0,0,98 +Saudi Arabia,63,16,0,0,48,11 +Senegal,29,63,35,29,9,8 +Serbia,0,0,0,72,62,60 +Sierra Leone,6,0,0,0,0,0 +Singapore,97,93,0,0,89,94 +Slovakia,0,0,93,65,69,75 +Slovenia,96,75,0,0,82,84 +South Africa,22,0,0,13,0,0 +Spain,97,67,0,0,84,75 +Suriname,30,0,0,0,0,0 +Sweden,98,75,0,0,82,81 +Switzerland,0,0,0,0,76,83 +Thailand,0,0,0,0,40,47 +Togo,19,40,16,20,0,0 +Trinidad and Tobago,80,0,0,0,58,48 +Tunisia,47,0,0,0,28,25 +Turkey,0,0,0,57,74,42 +Uganda,33,21,0,0,0,0 +Ukraine,0,0,0,0,74,64 +United Arab Emirates,68,42,0,0,57,46 +United Kingdom,0,0,0,0,83,81 +United States,0,0,0,0,81,73 +Uruguay,80,75,59,68,58,49 +Vietnam,0,0,55,51,86,81 +Zambia,0,0,0,0,5,2 +Zimbabwe,20,0,0,0,0,0 diff --git "a/03-\350\257\276\347\250\213\345\256\236\351\252\214/CS2102010/\351\241\271\347\233\256\346\225\260\346\215\256/\346\225\260\346\215\256\350\257\264\346\230\216.doc" "b/03-\350\257\276\347\250\213\345\256\236\351\252\214/CS2102010/\351\241\271\347\233\256\346\225\260\346\215\256/\346\225\260\346\215\256\350\257\264\346\230\216.doc" new file mode 100644 index 0000000000000000000000000000000000000000..674919112b1710e9fefc3e28de380af83b91095e Binary files /dev/null and "b/03-\350\257\276\347\250\213\345\256\236\351\252\214/CS2102010/\351\241\271\347\233\256\346\225\260\346\215\256/\346\225\260\346\215\256\350\257\264\346\230\216.doc" differ diff --git "a/03-\350\257\276\347\250\213\345\256\236\351\252\214/CS2102010/\351\241\271\347\233\256\350\257\264\346\230\216/\351\241\271\347\233\256\350\257\264\346\230\216.txt" "b/03-\350\257\276\347\250\213\345\256\236\351\252\214/CS2102010/\351\241\271\347\233\256\350\257\264\346\230\216/\351\241\271\347\233\256\350\257\264\346\230\216.txt" new file mode 100644 index 0000000000000000000000000000000000000000..db80c8322a28447406d14409251024cf83b909b0 --- /dev/null +++ "b/03-\350\257\276\347\250\213\345\256\236\351\252\214/CS2102010/\351\241\271\347\233\256\350\257\264\346\230\216/\351\241\271\347\233\256\350\257\264\346\230\216.txt" @@ -0,0 +1,36 @@ +项目说明 +数据集提供了全球范围内教育的全景视图，为不同国家和地区的教育动态格局提供了深刻的见解。它涵盖了丰富的教育方面，囊括了关键指标，包括失学率、完成率、熟练程度、识字率、出生率以及小学和高等教育入学统计数据。 + +全球教育分析：评估不同国家和地区的教育状况，找出差距和趋势。 +性别差异：分析教育中基于性别的差异，包括失学率和识字率。 +教育政策评估：使用完成率来评估教育政策的有效性。 +能力分析：调查不同教育水平的学生在阅读和数学方面的熟练程度。 +社会经济影响：研究教育与失业率之间的关系。 +地理空间分析：探索教育指标的地理格局。 + +按照几个方面的数据展示： + +1.全球教育分析 +展示各个国家和地区的教育发展状况，包括教育预算、师生比例、毕业率、教育投入、学生学科分布等综合数据的对比和分析。通过地图、饼图、条形图等多种方式，让用户快速了解各个国家和地区之间的教育差距和趋势。 + +2.性别差异 +通过失学率和识字率的对比，呈现男女学生在教育中的性别差异。可以通过使用男女人数的饼状图、失学人数的条形图、识字率的折线图等多种可视化方式来展示这些差异，让用户更好地理解并分析影响因素。 + +3.教育政策评估 +使用完成率这一教育评估指标，来对教育政策的有效性进行评估。可视化方式可以包括三个方面的数据对比：政策实施前后的完成率变化、不同地区间的完成率差异、实施不同政策的完成率对比等，以线图、图表、矩阵等多种方式体现。 + +4.能力分析 +通过数学和阅读两方面的能力测试，展示不同教育水平学生的熟练程度差异。可以使用雷达图、带有置信区间的图表等多种方式，将不同年级或教育水平的学生能力进行对比和分析，让用户更好地了解不同教育水平的熟练程度差异。 + +5.全球教育投入 +以教育经费、学校数量、学生人数等维度分析各国家和地区教育的投入情况。通过可视化展示地图、堆叠柱状图、散点图等形式，对教育投入与学生学业成果之间的关系进行比较分析，揭示教育投入对教育状况的影响。 + +6.师资队伍统计 +呈现各国家和地区的师资队伍统计数据，包括教育人员数量、教育人员比例、师资结构等。通过使用饼图、条形图、气泡图等可视化方式，展示不同国家和地区的师资条件差异，帮助用户了解师资队伍对教育质量的重要性。 + +7.教育资源分配 +展示各国家和地区教育资源的分配情况，包括课程设置、学校设施、教材资源等。使用图表、热力图、地图等多种可视化工具，让用户了解不同地区之间的资源分配差异，促进公平教育的发展。 + +8.教育质量评估 +通过学生测评和教育绩效指标，评估不同国家和地区的教育质量。使用折线图、雷达图、热力图等多种可视化方式，展示学生的学业成绩、综合素质评价等数据，帮助用户了解不同地区之间的教育质量差异，为改进教育质量提供参考。 +通过以上可视化大屏的设计，可以全面呈现全球教育状况，分析教育差距和趋势，深入探讨性别差异、教育政策有效性、学生能力分析等多个方面，为教育决策者和相关研究人员提供数据支持和决策依据。 \ No newline at end of file