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Author: clair513

Datasets/PoliceKillingsUS.csv

@@ -0,0 +1,26 @@
+Student ID,Analysis,Machine Learning,Artificial Intelligence
+1,2.393412671,3.324129347,0.039631096
+2,3.228434178,3.109298649,5.621414891
+3,6.611171616,3.603703815,4.830770027
+4,4.55351888,5.030113742,4.84697594
+5,4.151165323,6.555816091,4.126257144
+6,9.077035502,7.478125262,3.321003992
+7,7.039631096,8.201300407,2.667565198
+8,3.021068686,8.306264399,1.976072963
+9,5.011522874,6.622167472,1.220086585
+10,2.006190799,4.272699487,0.656404386
+11,3.324129347,2.393412671,0.32202138
+12,3.109298649,1.228434178,2.15599814
+13,3.603703815,0.611171616,0.076945636
+14,5.030113742,0.30351888,0.039381467
+15,6.555816091,0.151165323,0.021178522
+16,7.478125262,3.077035502,8.733030097
+17,8.201300407,0.039631096,0.006440428
+18,8.306264399,2.021068686,0.003664553
+19,6.622167472,0.011522874,3.002106869
+20,4.272699487,0.006190799,0.001308056
+21,2.006190799,4.272699487,0.656404386
+22,3.324129347,2.393412671,0.32202138
+23,4.109298649,5.228434178,2.15599814
+24,3.603703815,2.611171616,0.076945636
+25,6.892500004,5.85721035,6.100588246

Datasets/Score Book.csv

@@ -1 +1,50 @@
-
+university_name,total_students,students_enrolled,gender_dominance,education_level,time
+Harvard,1582568,12587,Male,High School,Day and Night
+Oxford,1568291,54682,Female,Graduate,Night
+Luke,1822565,54808,Female,Graduate,Day and Night
+Cambridge,785269,24865,Male,Post-Graduate,Day
+MIT,64154651,258745,Female,High School,Day and Night
+Xavier's,6611852,5698,Male,High School,Day
+Cornell,5455131,98547,Male,Graduate,Night
+Harvard,785280,42530,Female,Post-Graduate,Day
+Oxford,2534156,22897,Male,Post-Graduate,Day and Night
+Luke,5425,89,Female,Ph.D,Night
+Cambridge,41154894,134981,Male,Graduate,Day and Night
+MIT,18547802,254856,Female,Graduate,Day
+Xavier's,8527025,21530,Female,High School,Day and Night
+Cornell,89652710,72080,Female,Post-Graduate,Day
+Harvard,23746520,43250,Male,High School,Day
+Oxford,24167204,21560,Female,Graduate,Day and Night
+Luke,1822565,54269,Male,High School,Night
+Cambridge,585555,56810,Male,Post-Graduate,Day and Night
+MIT,9856921,64730,Female,Graduate,Day
+Xavier's,12345678,548925,Female,High School,Night
+Cornell,9802,152,Male,Ph.D,Day
+Harvard,2525560,23541,Male,Post-Graduate,Day
+Oxford,1568291,85788,Female,Graduate,Night
+Luke,7999952,989012,Female,Diploma,Day and Night
+Cambridge,24573045,54256,Male,Graduate,Night
+MIT,1822565,78046,Female,Post-Graduate,Day
+Xavier's,9078202,11135,Female,Post-Graduate,Day and Night
+Cornell,4562082,136542,Male,Graduate,Night
+Harvard,1582568,18256,Male,High School,Day and Night
+Oxford,4560825,14305,Female,High School,Day and Night
+Luke,9805412,58460,Male,Diploma,Day
+Cambridge,8552449,49610,Male,Post-Graduate,Night
+MIT,4608792,34950,Female,Diploma,Day
+Xavier's,24587259,35142,Female,High School,Day and Night
+Cornell,1822565,19872,Female,Diploma,Night
+Harvard,1582568,14235,Male,Graduate,Day and Night
+Oxford,5234,320,Male,Ph.D,Day
+Luke,4560872,14811,Male,Diploma,Day
+Cambridge,9167890,87587,Female,High School,Night
+MIT,8552449,89046,Male,Graduate,Night
+Xavier's,4658904,75802,Male,High School,Day
+Cornell,1582560,65810,Male,Post-Graduate,Day and Night
+Harvard,8629,87,Male,Ph.D,Day and Night
+Oxford,1568291,64735,Female,Graduate,Night
+Luke,1582568,24585,Male,Post-Graduate,Day
+Cambridge,99999990,7777852,Female,Graduate,Day
+MIT,8552449,254013,Male,High School,Day and Night
+Xavier's,24592580,45267,Female,Post-Graduate,Day and Night
+Cornell,1822565,98052,Male,Graduate,Day