├── README.md ├── datasets ├── Part2 │ ├── census_X_test.csv │ ├── census_X_train.csv │ ├── census_y_train.csv │ ├── diabetes.csv │ ├── housing_data.csv │ ├── iris.csv │ ├── mpg_X_test.csv │ ├── mpg_X_train.csv │ ├── mpg_y_train.csv │ ├── penguin_X_test.csv │ ├── penguin_X_train.csv │ ├── penguin_y_train.csv │ ├── stellar_X_test.csv │ ├── stellar_X_train.csv │ ├── stellar_y_train.csv │ └── wine.csv ├── Part3 │ ├── 201_boston.csv │ ├── 202_housing.csv │ ├── 203_housing.csv │ ├── 204_ecommerce.csv │ ├── 204_x_test.csv │ ├── 204_x_train.csv │ ├── 204_y_test.csv │ ├── 204_y_train.csv │ ├── 301_housing.csv │ ├── 302_worlddata.csv │ ├── 303_titanic.csv │ ├── 304_travel_insurance_test.csv │ ├── 304_travel_insurance_train.csv │ ├── 304_x_test.csv │ ├── 304_x_train.csv │ ├── 304_y_train.csv │ ├── 402_facebook.csv │ ├── 403_netflix.csv │ ├── 404_x_test.csv │ ├── 404_x_train.csv │ ├── 404_y_train.csv │ ├── 501_trash_bag.csv │ ├── 502_bmi.csv │ ├── 503_students.csv │ ├── 504_x_test.csv │ ├── 504_x_train.csv │ ├── 504_y_train.csv │ ├── ex6 │ │ ├── 06.01.01-Fire Station Data.csv │ │ ├── 06.01.02-Elementary School Data.csv │ │ ├── 06.01.03-Crime Data.csv │ │ ├── 06.02.01-Metaverse Training Data.csv │ │ ├── 06.02.02-Metaverse Testing Data_x.csv │ │ ├── 06.02.03-Metaverse Testing Data_y.csv │ │ ├── 06.03.01-transport_data.csv │ │ └── 06.03.02-fish_weight_data.csv │ └── ex7 │ │ ├── 07.01.01-students_scores.csv │ │ ├── 07.01.02-fish_weight_data.csv │ │ ├── 07.01.03-apartment_prices_dataset.csv │ │ ├── 07.02.01-sales_train_dataset.csv │ │ ├── 07.02.02-sales_test_dataset_x.csv │ │ ├── 07.02.03-sales_test_dataset_y.csv │ │ ├── 07.03.01-gender_prediction_dataset.csv │ │ └── 07.03.02-used_car_price_dataset.csv ├── Part5 │ ├── 201_boston.csv │ ├── 202_housing.csv │ ├── 203_housing.csv │ ├── 204_ecommerce.csv │ ├── 204_x_test.csv │ ├── 204_x_train.csv │ ├── 204_y_test.csv │ ├── 204_y_train.csv │ ├── 301_housing.csv │ ├── 302_worlddata.csv │ ├── 303_titanic.csv │ ├── 304_travel_insurance_test.csv │ ├── 304_travel_insurance_train.csv │ ├── 304_x_test.csv │ ├── 304_x_train.csv │ ├── 304_y_train.csv │ ├── 402_facebook.csv │ ├── 403_netflix.csv │ ├── 404_x_test.csv │ ├── 404_x_train.csv │ ├── 404_y_train.csv │ ├── 501_trash_bag.csv │ ├── 502_bmi.csv │ ├── 503_students.csv │ ├── 504_x_test.csv │ ├── 504_x_train.csv │ ├── 504_y_train.csv │ ├── census_X_test.csv │ ├── census_X_train.csv │ ├── census_y_train.csv │ ├── diabetes.csv │ ├── ex6 │ │ ├── 06.01.01-Fire Station Data.csv │ │ ├── 06.01.02-Elementary School Data.csv │ │ ├── 06.01.03-Crime Data.csv │ │ ├── 06.02.01-Metaverse Training Data.csv │ │ ├── 06.02.02-Metaverse Testing Data_x.csv │ │ ├── 06.02.03-Metaverse Testing Data_y.csv │ │ ├── 06.03.01-transport_data.csv │ │ └── 06.03.02-fish_weight_data.csv │ ├── ex7 │ │ ├── 07.01.01-students_scores.csv │ │ ├── 07.01.02-fish_weight_data.csv │ │ ├── 07.01.03-apartment_prices_dataset.csv │ │ ├── 07.02.01-sales_train_dataset.csv │ │ ├── 07.02.02-sales_test_dataset_x.csv │ │ ├── 07.02.03-sales_test_dataset_y.csv │ │ ├── 07.03.01-gender_prediction_dataset.csv │ │ └── 07.03.02-used_car_price_dataset.csv │ ├── housing_data.csv │ ├── iris.csv │ ├── mpg_X_test.csv │ ├── mpg_X_train.csv │ ├── mpg_y_train.csv │ ├── penguin_X_test.csv │ ├── penguin_X_train.csv │ ├── penguin_y_train.csv │ ├── stellar_X_test.csv │ ├── stellar_X_train.csv │ ├── stellar_y_train.csv │ └── wine.csv ├── datas(8회) │ ├── 09.01.01.bank_loan.csv │ ├── 09.01.02.crime.csv │ ├── 09.01.03.employees.csv │ ├── 09.02.test_x.csv │ ├── 09.02.test_y.csv │ ├── 09.02.train.csv │ ├── 09.03.01.house_price.csv │ └── 09.03.02.insurance_claim.csv ├── datas(9회) │ ├── 1.1.coffee_consumption.csv │ ├── 1.2.Auto_Sales.csv │ ├── 1.3.Co_Nmch.csv │ ├── 2.0.subway_test_x.csv │ ├── 2.0.subway_test_y.csv │ ├── 2.0.subway_train.csv │ ├── 3.1. customer_churn_example_200.csv │ ├── 3.1.customer_churn.csv │ └── 3.2.piq.csv └── supplement │ ├── StudentsPerformance1.csv │ ├── StudentsPerformance2.csv │ ├── airquality.csv │ ├── cellphone.csv │ ├── chickweight.csv │ ├── insectsprays.csv │ ├── iris.csv │ ├── student.csv │ ├── toothgrowth.csv │ └── trees.csv ├── res ├── census_y_test.csv ├── mpg_y_test.csv ├── mushrooms_y_test.csv ├── penguin_y_test.csv └── stellar_y_test.csv └── src ├── P2_C1_PythonBasic.ipynb ├── P2_C2_01_PythonNumpy.ipynb ├── P2_C2_02_PythonPandas.ipynb ├── P2_C2_03_PythonScikitlearn.ipynb ├── P2_C3_HousePrices.ipynb ├── P3_C1_01_MotorTrendCarRoadTests.ipynb ├── P3_C1_02_Penguin.ipynb ├── P3_C1_03_CensusIncome.ipynb ├── P3_C2_01_iris_wine.ipynb ├── P3_C2_02_StellarClassification.ipynb ├── P4_C2_010203_T_test.ipynb ├── P4_C2_040506_ANOVA_chi_square_test.ipynb ├── P4_C3_040217_Regression.ipynb ├── P4_C4_01_Exam.ipynb ├── P5_C1_PythonExam.ipynb ├── P5_C2_PythonExam.ipynb ├── P5_C3_PythonExam.ipynb ├── P5_C4_PythonExam.ipynb ├── P5_C5_PythonExam.ipynb ├── P5_C6_PythonExam.ipynb ├── P5_C7_PythonExam.ipynb ├── P5_C8_PythonExam.ipynb └── old_ver ├── P2_C1_PythonBasic.ipynb ├── P2_C2_01_PythonNumpy.ipynb ├── P2_C2_02_PythonPandas.ipynb ├── P2_C2_03_PythonScikitlearn.ipynb ├── P2_C3_HousePrices.ipynb ├── P2_C4_01_MotorTrendCarRoadTests.ipynb ├── P2_C4_02_Penguin.ipynb ├── P2_C4_03_CensusIncome.ipynb ├── P2_C5_01_iris_wine.ipynb ├── P2_C5_02_StellarClassification.ipynb ├── P3_C1_PythonExam.ipynb ├── P3_C2_PythonExam.ipynb ├── P3_C3_PythonExam.ipynb ├── P3_C4_PythonExam.ipynb ├── P3_C5_PythonExam.ipynb ├── P3_C6_PythonExam.ipynb ├── PS_C2_010203_T_test.ipynb ├── PS_C2_040506_ANOVA_chi_square_test.ipynb └── PS_C3_01_Exam.ipynb /README.md: -------------------------------------------------------------------------------- 1 | # yemoonsaBigdata 2 | 2025 빅데이터분석기사 실기 (예문사) 예제 모음 3 | 4 | - ./datasets/Part2/ : 파트2의 파이썬 실습 데이터 셋 5 | - ./datasets/Part3/ : 파트3의 파이썬 실습 데이터 셋 6 | - ./datasets/supplement/ : 부록의 파이썬 실습 데이터 셋 7 | - ./datasets/datas(8회)/ : 8회차 데이터 모음 8 | - ./datasets/datas(9회)/ : 9회차 데이터 모음 9 | - ./src/ : 예제 파이썬 노트북 파일 10 | - ./res/ : 결과물, 정답 파일 11 | -------------------------------------------------------------------------------- /datasets/Part2/iris.csv: -------------------------------------------------------------------------------- 1 | sepal_length,sepal_width,petal_length,petal_width,species 2 | 5.1,3.5,1.4,0.2,setosa 3 | 4.9,3.0,1.4,0.2,setosa 4 | 4.7,3.2,1.3,0.2,setosa 5 | 4.6,3.1,1.5,0.2,setosa 6 | 5.0,3.6,1.4,0.2,setosa 7 | 5.4,3.9,1.7,0.4,setosa 8 | 4.6,3.4,1.4,0.3,setosa 9 | 5.0,3.4,1.5,0.2,setosa 10 | 4.4,2.9,1.4,0.2,setosa 11 | 4.9,3.1,1.5,0.1,setosa 12 | 5.4,3.7,1.5,0.2,setosa 13 | 4.8,3.4,1.6,0.2,setosa 14 | 4.8,3.0,1.4,0.1,setosa 15 | 4.3,3.0,1.1,0.1,setosa 16 | 5.8,4.0,1.2,0.2,setosa 17 | 5.7,4.4,1.5,0.4,setosa 18 | 5.4,3.9,1.3,0.4,setosa 19 | 5.1,3.5,1.4,0.3,setosa 20 | 5.7,3.8,1.7,0.3,setosa 21 | 5.1,3.8,1.5,0.3,setosa 22 | 5.4,3.4,1.7,0.2,setosa 23 | 5.1,3.7,1.5,0.4,setosa 24 | 4.6,3.6,1.0,0.2,setosa 25 | 5.1,3.3,1.7,0.5,setosa 26 | 4.8,3.4,1.9,0.2,setosa 27 | 5.0,3.0,1.6,0.2,setosa 28 | 5.0,3.4,1.6,0.4,setosa 29 | 5.2,3.5,1.5,0.2,setosa 30 | 5.2,3.4,1.4,0.2,setosa 31 | 4.7,3.2,1.6,0.2,setosa 32 | 4.8,3.1,1.6,0.2,setosa 33 | 5.4,3.4,1.5,0.4,setosa 34 | 5.2,4.1,1.5,0.1,setosa 35 | 5.5,4.2,1.4,0.2,setosa 36 | 4.9,3.1,1.5,0.2,setosa 37 | 5.0,3.2,1.2,0.2,setosa 38 | 5.5,3.5,1.3,0.2,setosa 39 | 4.9,3.6,1.4,0.1,setosa 40 | 4.4,3.0,1.3,0.2,setosa 41 | 5.1,3.4,1.5,0.2,setosa 42 | 5.0,3.5,1.3,0.3,setosa 43 | 4.5,2.3,1.3,0.3,setosa 44 | 4.4,3.2,1.3,0.2,setosa 45 | 5.0,3.5,1.6,0.6,setosa 46 | 5.1,3.8,1.9,0.4,setosa 47 | 4.8,3.0,1.4,0.3,setosa 48 | 5.1,3.8,1.6,0.2,setosa 49 | 4.6,3.2,1.4,0.2,setosa 50 | 5.3,3.7,1.5,0.2,setosa 51 | 5.0,3.3,1.4,0.2,setosa 52 | 7.0,3.2,4.7,1.4,versicolor 53 | 6.4,3.2,4.5,1.5,versicolor 54 | 6.9,3.1,4.9,1.5,versicolor 55 | 5.5,2.3,4.0,1.3,versicolor 56 | 6.5,2.8,4.6,1.5,versicolor 57 | 5.7,2.8,4.5,1.3,versicolor 58 | 6.3,3.3,4.7,1.6,versicolor 59 | 4.9,2.4,3.3,1.0,versicolor 60 | 6.6,2.9,4.6,1.3,versicolor 61 | 5.2,2.7,3.9,1.4,versicolor 62 | 5.0,2.0,3.5,1.0,versicolor 63 | 5.9,3.0,4.2,1.5,versicolor 64 | 6.0,2.2,4.0,1.0,versicolor 65 | 6.1,2.9,4.7,1.4,versicolor 66 | 5.6,2.9,3.6,1.3,versicolor 67 | 6.7,3.1,4.4,1.4,versicolor 68 | 5.6,3.0,4.5,1.5,versicolor 69 | 5.8,2.7,4.1,1.0,versicolor 70 | 6.2,2.2,4.5,1.5,versicolor 71 | 5.6,2.5,3.9,1.1,versicolor 72 | 5.9,3.2,4.8,1.8,versicolor 73 | 6.1,2.8,4.0,1.3,versicolor 74 | 6.3,2.5,4.9,1.5,versicolor 75 | 6.1,2.8,4.7,1.2,versicolor 76 | 6.4,2.9,4.3,1.3,versicolor 77 | 6.6,3.0,4.4,1.4,versicolor 78 | 6.8,2.8,4.8,1.4,versicolor 79 | 6.7,3.0,5.0,1.7,versicolor 80 | 6.0,2.9,4.5,1.5,versicolor 81 | 5.7,2.6,3.5,1.0,versicolor 82 | 5.5,2.4,3.8,1.1,versicolor 83 | 5.5,2.4,3.7,1.0,versicolor 84 | 5.8,2.7,3.9,1.2,versicolor 85 | 6.0,2.7,5.1,1.6,versicolor 86 | 5.4,3.0,4.5,1.5,versicolor 87 | 6.0,3.4,4.5,1.6,versicolor 88 | 6.7,3.1,4.7,1.5,versicolor 89 | 6.3,2.3,4.4,1.3,versicolor 90 | 5.6,3.0,4.1,1.3,versicolor 91 | 5.5,2.5,4.0,1.3,versicolor 92 | 5.5,2.6,4.4,1.2,versicolor 93 | 6.1,3.0,4.6,1.4,versicolor 94 | 5.8,2.6,4.0,1.2,versicolor 95 | 5.0,2.3,3.3,1.0,versicolor 96 | 5.6,2.7,4.2,1.3,versicolor 97 | 5.7,3.0,4.2,1.2,versicolor 98 | 5.7,2.9,4.2,1.3,versicolor 99 | 6.2,2.9,4.3,1.3,versicolor 100 | 5.1,2.5,3.0,1.1,versicolor 101 | 5.7,2.8,4.1,1.3,versicolor 102 | 6.3,3.3,6.0,2.5,virginica 103 | 5.8,2.7,5.1,1.9,virginica 104 | 7.1,3.0,5.9,2.1,virginica 105 | 6.3,2.9,5.6,1.8,virginica 106 | 6.5,3.0,5.8,2.2,virginica 107 | 7.6,3.0,6.6,2.1,virginica 108 | 4.9,2.5,4.5,1.7,virginica 109 | 7.3,2.9,6.3,1.8,virginica 110 | 6.7,2.5,5.8,1.8,virginica 111 | 7.2,3.6,6.1,2.5,virginica 112 | 6.5,3.2,5.1,2.0,virginica 113 | 6.4,2.7,5.3,1.9,virginica 114 | 6.8,3.0,5.5,2.1,virginica 115 | 5.7,2.5,5.0,2.0,virginica 116 | 5.8,2.8,5.1,2.4,virginica 117 | 6.4,3.2,5.3,2.3,virginica 118 | 6.5,3.0,5.5,1.8,virginica 119 | 7.7,3.8,6.7,2.2,virginica 120 | 7.7,2.6,6.9,2.3,virginica 121 | 6.0,2.2,5.0,1.5,virginica 122 | 6.9,3.2,5.7,2.3,virginica 123 | 5.6,2.8,4.9,2.0,virginica 124 | 7.7,2.8,6.7,2.0,virginica 125 | 6.3,2.7,4.9,1.8,virginica 126 | 6.7,3.3,5.7,2.1,virginica 127 | 7.2,3.2,6.0,1.8,virginica 128 | 6.2,2.8,4.8,1.8,virginica 129 | 6.1,3.0,4.9,1.8,virginica 130 | 6.4,2.8,5.6,2.1,virginica 131 | 7.2,3.0,5.8,1.6,virginica 132 | 7.4,2.8,6.1,1.9,virginica 133 | 7.9,3.8,6.4,2.0,virginica 134 | 6.4,2.8,5.6,2.2,virginica 135 | 6.3,2.8,5.1,1.5,virginica 136 | 6.1,2.6,5.6,1.4,virginica 137 | 7.7,3.0,6.1,2.3,virginica 138 | 6.3,3.4,5.6,2.4,virginica 139 | 6.4,3.1,5.5,1.8,virginica 140 | 6.0,3.0,4.8,1.8,virginica 141 | 6.9,3.1,5.4,2.1,virginica 142 | 6.7,3.1,5.6,2.4,virginica 143 | 6.9,3.1,5.1,2.3,virginica 144 | 5.8,2.7,5.1,1.9,virginica 145 | 6.8,3.2,5.9,2.3,virginica 146 | 6.7,3.3,5.7,2.5,virginica 147 | 6.7,3.0,5.2,2.3,virginica 148 | 6.3,2.5,5.0,1.9,virginica 149 | 6.5,3.0,5.2,2.0,virginica 150 | 6.2,3.4,5.4,2.3,virginica 151 | 5.9,3.0,5.1,1.8,virginica 152 | -------------------------------------------------------------------------------- /datasets/Part2/mpg_X_test.csv: -------------------------------------------------------------------------------- 1 | name,mpg,cylinders,displacement,horsepower,weight,acceleration,model_year 2 | maxda glc deluxe,34.1,4,86.0,65.0,1975,15.2,79 3 | plymouth sapporo,23.2,4,156.0,105.0,2745,16.7,78 4 | dodge coronet brougham,16.0,8,318.0,150.0,4190,13.0,76 5 | amc concord dl 6,20.2,6,232.0,90.0,3265,18.2,79 6 | fiat strada custom,37.3,4,91.0,69.0,2130,14.7,79 7 | toyota corona,25.0,4,113.0,95.0,2228,14.0,71 8 | mazda 626,31.3,4,120.0,75.0,2542,17.5,80 9 | toyota corolla 1600 (sw),27.0,4,97.0,88.0,2100,16.5,72 10 | ford pinto (sw),22.0,4,122.0,86.0,2395,16.0,72 11 | datsun 200-sx,23.9,4,119.0,97.0,2405,14.9,78 12 | pontiac phoenix lj,19.2,6,231.0,105.0,3535,19.2,78 13 | mazda rx-7 gs,23.7,3,70.0,100.0,2420,12.5,80 14 | plymouth satellite,18.0,8,318.0,150.0,3436,11.0,70 15 | saab 99gle,21.6,4,121.0,115.0,2795,15.7,78 16 | volkswagen model 111,27.0,4,97.0,60.0,1834,19.0,71 17 | fiat 128,24.0,4,90.0,75.0,2108,15.5,74 18 | plymouth fury iii,15.0,8,318.0,150.0,4135,13.5,72 19 | dodge magnum xe,17.5,8,318.0,140.0,4080,13.7,78 20 | toyouta corona mark ii (sw),23.0,4,120.0,97.0,2506,14.5,72 21 | hi 1200d,9.0,8,304.0,193.0,4732,18.5,70 22 | ford mustang ii,13.0,8,302.0,129.0,3169,12.0,75 23 | mercury zephyr 6,19.8,6,200.0,85.0,2990,18.2,79 24 | buick lesabre custom,13.0,8,350.0,155.0,4502,13.5,72 25 | buick estate wagon (sw),14.0,8,455.0,225.0,3086,10.0,70 26 | oldsmobile delta 88 royale,12.0,8,350.0,160.0,4456,13.5,72 27 | datsun 710,24.0,4,119.0,97.0,2545,17.0,75 28 | datsun 210,31.8,4,85.0,65.0,2020,19.2,79 29 | ford gran torino,14.0,8,302.0,137.0,4042,14.5,73 30 | ford country squire (sw),15.5,8,351.0,142.0,4054,14.3,79 31 | chevrolet vega (sw),22.0,4,140.0,72.0,2408,19.0,71 32 | ford escort 4w,34.4,4,98.0,65.0,2045,16.2,81 33 | saab 99le,25.0,4,121.0,115.0,2671,13.5,75 34 | plymouth horizon,34.2,4,105.0,70.0,2200,13.2,79 35 | chevrolet cavalier wagon,27.0,4,112.0,88.0,2640,18.6,82 36 | amc matador,18.0,6,232.0,100.0,3288,15.5,71 37 | toyota corona liftback,29.8,4,134.0,90.0,2711,15.5,80 38 | toyota cressida,25.4,6,168.0,116.0,2900,12.6,81 39 | amc pacer,19.0,6,232.0,90.0,3211,17.0,75 40 | honda accord cvcc,31.5,4,98.0,68.0,2045,18.5,77 41 | dodge colt,27.9,4,156.0,105.0,2800,14.4,80 42 | ford galaxie 500,14.0,8,351.0,153.0,4129,13.0,72 43 | honda civic,33.0,4,91.0,53.0,1795,17.4,76 44 | vw rabbit c (diesel),44.3,4,90.0,48.0,2085,21.7,80 45 | ford pinto,19.0,4,122.0,85.0,2310,18.5,73 46 | vokswagen rabbit,29.8,4,89.0,62.0,1845,15.3,80 47 | chevrolet vega,25.0,4,140.0,75.0,2542,17.0,74 48 | peugeot 504,25.0,4,110.0,87.0,2672,17.5,70 49 | ford country,12.0,8,400.0,167.0,4906,12.5,73 50 | datsun 510 hatchback,37.0,4,119.0,92.0,2434,15.0,80 51 | ford maverick,15.0,6,250.0,72.0,3158,19.5,75 52 | mercury lynx l,36.0,4,98.0,70.0,2125,17.3,82 53 | honda civic 1300,35.1,4,81.0,60.0,1760,16.1,81 54 | plymouth satellite custom,16.0,6,225.0,105.0,3439,15.5,71 55 | volkswagen rabbit l,36.0,4,105.0,74.0,1980,15.3,82 56 | dodge coronet custom,15.0,8,318.0,150.0,3777,12.5,73 57 | chevrolet caprice classic,17.5,8,305.0,145.0,3880,12.5,77 58 | chevrolet nova custom,16.0,6,250.0,100.0,3278,18.0,73 59 | toyota mark ii,20.0,6,156.0,122.0,2807,13.5,73 60 | amc hornet,22.5,6,232.0,90.0,3085,17.6,76 61 | volkswagen dasher,30.5,4,97.0,78.0,2190,14.1,77 62 | chevrolet camaro,27.0,4,151.0,90.0,2950,17.3,82 63 | amc concord dl,23.0,4,151.0,,3035,20.5,82 64 | ford torino,17.0,8,302.0,140.0,3449,10.5,70 65 | plymouth volare custom,19.0,6,225.0,100.0,3630,17.7,77 66 | ford mustang gl,27.0,4,140.0,86.0,2790,15.6,82 67 | plymouth valiant custom,19.0,6,225.0,95.0,3264,16.0,75 68 | ford futura,18.1,8,302.0,139.0,3205,11.2,78 69 | datsun pl510,27.0,4,97.0,88.0,2130,14.5,70 70 | amc spirit dl,27.4,4,121.0,80.0,2670,15.0,79 71 | plymouth champ,39.0,4,86.0,64.0,1875,16.4,81 72 | buick century limited,25.0,6,181.0,110.0,2945,16.4,82 73 | ford gran torino (sw),14.0,8,302.0,140.0,4638,16.0,74 74 | oldsmobile omega brougham,26.8,6,173.0,115.0,2700,12.9,79 75 | datsun b210,31.0,4,79.0,67.0,1950,19.0,74 76 | dodge coronet custom (sw),14.0,8,318.0,150.0,4457,13.5,74 77 | chevrolet cavalier 2-door,34.0,4,112.0,88.0,2395,18.0,82 78 | ford gran torino,14.5,8,351.0,152.0,4215,12.8,76 79 | fiat 124 sport coupe,26.0,4,98.0,90.0,2265,15.5,73 80 | toyota corona mark ii,24.0,4,113.0,95.0,2372,15.0,70 81 | pontiac grand prix lj,16.0,8,400.0,180.0,4220,11.1,77 82 | plymouth fury,18.0,6,225.0,95.0,3785,19.0,75 83 | dodge monaco brougham,15.5,8,318.0,145.0,4140,13.7,77 84 | mazda glc 4,34.1,4,91.0,68.0,1985,16.0,81 85 | chevrolet caprice classic,17.0,8,305.0,130.0,3840,15.4,79 86 | ford f250,10.0,8,360.0,215.0,4615,14.0,70 87 | amc gremlin,20.0,6,232.0,100.0,2914,16.0,75 88 | saab 99le,24.0,4,121.0,110.0,2660,14.0,73 89 | renault 18i,34.5,4,100.0,,2320,15.8,81 90 | vw pickup,44.0,4,97.0,52.0,2130,24.6,82 91 | amc matador (sw),14.0,8,304.0,150.0,4257,15.5,74 92 | chevrolet chevelle malibu,17.0,6,250.0,100.0,3329,15.5,71 93 | dodge challenger se,15.0,8,383.0,170.0,3563,10.0,70 94 | plymouth satellite custom (sw),14.0,8,318.0,150.0,4077,14.0,72 95 | dodge dart custom,15.0,8,318.0,150.0,3399,11.0,73 96 | ford torino 500,19.0,6,250.0,88.0,3302,15.5,71 97 | plymouth valiant,22.0,6,225.0,100.0,3233,15.4,76 98 | mazda glc custom,31.0,4,91.0,68.0,1970,17.6,82 99 | ford granada,18.5,6,250.0,98.0,3525,19.0,77 100 | amc ambassador dpl,15.0,8,390.0,190.0,3850,8.5,70 101 | plymouth duster,23.0,6,198.0,95.0,2904,16.0,73 102 | amc gremlin,21.0,6,199.0,90.0,2648,15.0,70 103 | buick skylark 320,15.0,8,350.0,165.0,3693,11.5,70 104 | chevrolet impala,14.0,8,350.0,165.0,4209,12.0,71 105 | dodge diplomat,19.4,8,318.0,140.0,3735,13.2,78 106 | ford mustang,18.0,6,250.0,88.0,3139,14.5,71 107 | vw dasher (diesel),43.4,4,90.0,48.0,2335,23.7,80 108 | plymouth arrow gs,25.5,4,122.0,96.0,2300,15.5,77 109 | dodge aries se,29.0,4,135.0,84.0,2525,16.0,82 110 | audi 5000s (diesel),36.4,5,121.0,67.0,2950,19.9,80 111 | oldsmobile omega,11.0,8,350.0,180.0,3664,11.0,73 112 | plymouth horizon 4,34.7,4,105.0,63.0,2215,14.9,81 113 | buick century,17.0,6,231.0,110.0,3907,21.0,75 114 | mazda rx2 coupe,19.0,3,70.0,97.0,2330,13.5,72 115 | chevrolet malibu classic (sw),19.2,8,267.0,125.0,3605,15.0,79 116 | oldsmobile cutlass supreme,17.0,8,260.0,110.0,4060,19.0,77 117 | datsun b210 gx,39.4,4,85.0,70.0,2070,18.6,78 118 | amc hornet,18.0,6,232.0,100.0,2945,16.0,73 119 | amc matador,16.0,6,258.0,110.0,3632,18.0,74 120 | chevy c10,13.0,8,350.0,145.0,4055,12.0,76 121 | toyota tercel,37.7,4,89.0,62.0,2050,17.3,81 122 | -------------------------------------------------------------------------------- /datasets/Part2/mpg_y_train.csv: -------------------------------------------------------------------------------- 1 | isUSA 2 | 1 3 | 1 4 | 0 5 | 1 6 | 0 7 | 1 8 | 0 9 | 1 10 | 1 11 | 0 12 | 1 13 | 0 14 | 1 15 | 0 16 | 0 17 | 1 18 | 0 19 | 1 20 | 1 21 | 1 22 | 1 23 | 0 24 | 1 25 | 1 26 | 0 27 | 1 28 | 1 29 | 1 30 | 1 31 | 0 32 | 1 33 | 0 34 | 1 35 | 0 36 | 1 37 | 1 38 | 1 39 | 1 40 | 1 41 | 1 42 | 0 43 | 1 44 | 0 45 | 1 46 | 0 47 | 1 48 | 1 49 | 0 50 | 1 51 | 1 52 | 1 53 | 0 54 | 1 55 | 0 56 | 0 57 | 0 58 | 1 59 | 0 60 | 0 61 | 0 62 | 0 63 | 1 64 | 1 65 | 0 66 | 1 67 | 1 68 | 1 69 | 1 70 | 0 71 | 0 72 | 0 73 | 1 74 | 1 75 | 0 76 | 1 77 | 1 78 | 1 79 | 1 80 | 1 81 | 0 82 | 1 83 | 1 84 | 1 85 | 0 86 | 0 87 | 1 88 | 1 89 | 1 90 | 1 91 | 1 92 | 0 93 | 1 94 | 1 95 | 1 96 | 1 97 | 0 98 | 1 99 | 0 100 | 0 101 | 0 102 | 1 103 | 1 104 | 0 105 | 0 106 | 1 107 | 1 108 | 1 109 | 1 110 | 1 111 | 0 112 | 1 113 | 1 114 | 1 115 | 1 116 | 1 117 | 1 118 | 0 119 | 0 120 | 1 121 | 1 122 | 1 123 | 1 124 | 0 125 | 1 126 | 0 127 | 1 128 | 0 129 | 1 130 | 1 131 | 1 132 | 1 133 | 0 134 | 0 135 | 1 136 | 1 137 | 1 138 | 0 139 | 1 140 | 0 141 | 0 142 | 0 143 | 1 144 | 1 145 | 1 146 | 1 147 | 1 148 | 0 149 | 1 150 | 0 151 | 0 152 | 1 153 | 0 154 | 0 155 | 1 156 | 0 157 | 1 158 | 1 159 | 1 160 | 1 161 | 0 162 | 1 163 | 0 164 | 1 165 | 1 166 | 0 167 | 1 168 | 1 169 | 1 170 | 1 171 | 0 172 | 1 173 | 0 174 | 1 175 | 1 176 | 1 177 | 0 178 | 1 179 | 1 180 | 1 181 | 0 182 | 1 183 | 0 184 | 0 185 | 0 186 | 1 187 | 1 188 | 0 189 | 0 190 | 1 191 | 1 192 | 1 193 | 0 194 | 0 195 | 0 196 | 1 197 | 0 198 | 1 199 | 0 200 | 0 201 | 0 202 | 0 203 | 1 204 | 0 205 | 0 206 | 1 207 | 0 208 | 1 209 | 0 210 | 0 211 | 1 212 | 0 213 | 0 214 | 1 215 | 1 216 | 1 217 | 1 218 | 0 219 | 1 220 | 1 221 | 1 222 | 1 223 | 1 224 | 1 225 | 1 226 | 0 227 | 1 228 | 0 229 | 1 230 | 1 231 | 1 232 | 1 233 | 1 234 | 0 235 | 0 236 | 1 237 | 0 238 | 1 239 | 1 240 | 1 241 | 0 242 | 1 243 | 0 244 | 1 245 | 1 246 | 1 247 | 1 248 | 1 249 | 1 250 | 0 251 | 0 252 | 1 253 | 0 254 | 1 255 | 0 256 | 1 257 | 1 258 | 0 259 | 0 260 | 1 261 | 1 262 | 1 263 | 0 264 | 0 265 | 0 266 | 1 267 | 1 268 | 0 269 | 0 270 | 0 271 | 1 272 | 0 273 | 0 274 | 1 275 | 0 276 | 0 277 | 1 278 | 1 279 | 1 280 | -------------------------------------------------------------------------------- /datasets/Part2/penguin_X_test.csv: -------------------------------------------------------------------------------- 1 | species,island,sex,bill_length_mm,bill_depth_mm,flipper_length_mm 2 | Adelie,Torgersen,MALE,42.1,19.1,195.0 3 | Gentoo,Biscoe,MALE,45.5,15.0,220.0 4 | Adelie,Biscoe,MALE,40.6,18.8,193.0 5 | Adelie,Dream,FEMALE,39.5,17.8,188.0 6 | Gentoo,Biscoe,FEMALE,45.1,14.5,207.0 7 | Adelie,Dream,MALE,37.5,18.5,199.0 8 | Adelie,Torgersen,FEMALE,35.9,16.6,190.0 9 | Adelie,Biscoe,FEMALE,39.6,20.7,191.0 10 | Chinstrap,Dream,FEMALE,46.0,18.9,195.0 11 | Adelie,Dream,FEMALE,40.2,17.1,193.0 12 | Adelie,Dream,FEMALE,36.0,18.5,186.0 13 | Gentoo,Biscoe,MALE,50.4,15.7,222.0 14 | Adelie,Biscoe,FEMALE,39.7,17.7,193.0 15 | Chinstrap,Dream,MALE,50.9,19.1,196.0 16 | Adelie,Torgersen,MALE,39.1,18.7,181.0 17 | Chinstrap,Dream,MALE,49.5,19.0,200.0 18 | Chinstrap,Dream,MALE,55.8,19.8,207.0 19 | Chinstrap,Dream,FEMALE,48.1,16.4,199.0 20 | Adelie,Dream,FEMALE,35.7,18.0,202.0 21 | Adelie,Torgersen,FEMALE,36.2,17.2,187.0 22 | Gentoo,Biscoe,MALE,46.8,16.1,215.0 23 | Adelie,Torgersen,MALE,41.8,19.4,198.0 24 | Gentoo,Biscoe,MALE,59.6,17.0,230.0 25 | Gentoo,Biscoe,FEMALE,42.6,13.7,213.0 26 | Gentoo,Biscoe,MALE,49.4,15.8,216.0 27 | Gentoo,Biscoe,MALE,50.5,15.9,222.0 28 | Gentoo,Biscoe,MALE,52.5,15.6,221.0 29 | Adelie,Torgersen,MALE,45.8,18.9,197.0 30 | Chinstrap,Dream,FEMALE,46.4,17.8,191.0 31 | Adelie,Dream,MALE,40.3,18.5,196.0 32 | Adelie,Dream,MALE,44.1,19.7,196.0 33 | Adelie,Dream,FEMALE,36.0,17.9,190.0 34 | Chinstrap,Dream,FEMALE,45.6,19.4,194.0 35 | Gentoo,Biscoe,FEMALE,44.0,13.6,208.0 36 | Adelie,Dream,FEMALE,36.6,18.4,184.0 37 | Adelie,Torgersen,FEMALE,39.0,17.1,191.0 38 | Adelie,Biscoe,FEMALE,36.5,16.6,181.0 39 | Adelie,Torgersen,FEMALE,41.1,17.6,182.0 40 | Chinstrap,Dream,MALE,51.5,18.7,187.0 41 | Gentoo,Biscoe,FEMALE,46.9,14.6,222.0 42 | Adelie,Dream,FEMALE,38.1,18.6,190.0 43 | Gentoo,Biscoe,MALE,51.1,16.5,225.0 44 | Gentoo,Biscoe,FEMALE,50.5,15.2,216.0 45 | Gentoo,Biscoe,FEMALE,42.9,13.1,215.0 46 | Gentoo,Biscoe,MALE,55.9,17.0,228.0 47 | Adelie,Dream,MALE,39.0,18.7,185.0 48 | Gentoo,Biscoe,FEMALE,45.7,13.9,214.0 49 | Adelie,Biscoe,FEMALE,37.7,16.0,183.0 50 | Gentoo,Biscoe,MALE,46.4,15.6,221.0 51 | Adelie,Biscoe,MALE,42.2,19.5,197.0 52 | Gentoo,Biscoe,FEMALE,40.9,13.7,214.0 53 | Gentoo,Biscoe,FEMALE,47.5,14.2,209.0 54 | Adelie,Biscoe,MALE,42.7,18.3,196.0 55 | Adelie,Biscoe,MALE,37.7,18.7,180.0 56 | Adelie,Dream,FEMALE,34.0,17.1,185.0 57 | Adelie,Torgersen,MALE,44.1,18.0,210.0 58 | Gentoo,Biscoe,FEMALE,43.5,14.2,220.0 59 | Gentoo,Biscoe,FEMALE,43.3,13.4,209.0 60 | Chinstrap,Dream,MALE,48.5,17.5,191.0 61 | Adelie,Torgersen,MALE,39.3,20.6,190.0 62 | Adelie,Dream,MALE,37.2,18.1,178.0 63 | Gentoo,Biscoe,FEMALE,46.4,15.0,216.0 64 | Chinstrap,Dream,FEMALE,47.0,17.3,185.0 65 | Gentoo,Biscoe,FEMALE,47.7,15.0,216.0 66 | Chinstrap,Dream,MALE,50.0,19.5,196.0 67 | Adelie,Torgersen,MALE,41.5,18.3,195.0 68 | Gentoo,Biscoe,MALE,48.8,16.2,222.0 69 | Chinstrap,Dream,FEMALE,42.5,16.7,187.0 70 | Gentoo,Biscoe,FEMALE,45.5,14.5,212.0 71 | Chinstrap,Dream,FEMALE,50.5,18.4,200.0 72 | Adelie,Biscoe,MALE,37.6,19.1,194.0 73 | Adelie,Biscoe,FEMALE,34.5,18.1,187.0 74 | Gentoo,Biscoe,FEMALE,45.8,14.6,210.0 75 | Adelie,Torgersen,FEMALE,40.2,17.0,176.0 76 | Gentoo,Biscoe,FEMALE,45.8,14.2,219.0 77 | Gentoo,Biscoe,FEMALE,43.3,14.0,208.0 78 | Gentoo,Biscoe,MALE,51.3,14.2,218.0 79 | Adelie,Dream,FEMALE,37.6,19.3,181.0 80 | Adelie,Torgersen,FEMALE,38.5,17.9,190.0 81 | Gentoo,Biscoe,FEMALE,47.4,14.6,212.0 82 | Adelie,Dream,FEMALE,38.9,18.8,190.0 83 | Gentoo,Biscoe,MALE,52.1,17.0,230.0 84 | Chinstrap,Dream,FEMALE,46.9,16.6,192.0 85 | Gentoo,Biscoe,FEMALE,46.8,14.3,215.0 86 | Gentoo,Biscoe,FEMALE,45.3,13.7,210.0 87 | Adelie,Dream,FEMALE,38.1,17.6,187.0 88 | Gentoo,Biscoe,MALE,50.0,16.3,230.0 89 | Adelie,Torgersen,MALE,41.4,18.5,202.0 90 | Adelie,Dream,MALE,40.7,17.0,190.0 91 | Gentoo,Biscoe,FEMALE,48.2,14.3,210.0 92 | Adelie,Dream,MALE,42.3,21.2,191.0 93 | Chinstrap,Dream,MALE,52.2,18.8,197.0 94 | Adelie,Dream,MALE,41.1,18.1,205.0 95 | Chinstrap,Dream,MALE,50.7,19.7,203.0 96 | Gentoo,Biscoe,MALE,50.0,15.3,220.0 97 | Adelie,Torgersen,MALE,37.3,20.5,199.0 98 | Gentoo,Biscoe,MALE,45.2,15.8,215.0 99 | Adelie,Torgersen,FEMALE,40.3,18.0,195.0 100 | Gentoo,Biscoe,FEMALE,46.5,14.5,213.0 101 | Gentoo,Biscoe,MALE,49.6,15.0,216.0 102 | Adelie,Torgersen,FEMALE,39.6,17.2,196.0 103 | -------------------------------------------------------------------------------- /datasets/Part2/penguin_y_train.csv: -------------------------------------------------------------------------------- 1 | body_mass_g 2 | 4250.0 3 | 4650.0 4 | 4250.0 5 | 4500.0 6 | 5700.0 7 | 3150.0 8 | 4100.0 9 | 5300.0 10 | 4550.0 11 | 3600.0 12 | 5100.0 13 | 5950.0 14 | 5800.0 15 | 4600.0 16 | 3650.0 17 | 4750.0 18 | 4850.0 19 | 3450.0 20 | 3500.0 21 | 5000.0 22 | 3900.0 23 | 4050.0 24 | 3750.0 25 | 4375.0 26 | 4250.0 27 | 3775.0 28 | 3525.0 29 | 4950.0 30 | 4400.0 31 | 5200.0 32 | 5800.0 33 | 3675.0 34 | 4700.0 35 | 3775.0 36 | 4150.0 37 | 5400.0 38 | 4400.0 39 | 3550.0 40 | 5550.0 41 | 3500.0 42 | 2900.0 43 | 4200.0 44 | 3500.0 45 | "" 46 | 5350.0 47 | 4050.0 48 | 4650.0 49 | 4800.0 50 | 5300.0 51 | 4100.0 52 | 4250.0 53 | 5700.0 54 | 4800.0 55 | 5250.0 56 | 3000.0 57 | 3350.0 58 | 5200.0 59 | 3800.0 60 | 3300.0 61 | 2850.0 62 | 4450.0 63 | 4900.0 64 | 5500.0 65 | 4050.0 66 | 4725.0 67 | 3950.0 68 | 3700.0 69 | 4625.0 70 | 3200.0 71 | 3900.0 72 | 4200.0 73 | 3650.0 74 | 5500.0 75 | 5550.0 76 | 3900.0 77 | 6000.0 78 | 3050.0 79 | 5400.0 80 | 4450.0 81 | 4400.0 82 | 3825.0 83 | 5850.0 84 | 3150.0 85 | 4550.0 86 | 5050.0 87 | 3700.0 88 | 4050.0 89 | 3800.0 90 | 4725.0 91 | 3300.0 92 | 5850.0 93 | 3700.0 94 | 3625.0 95 | 4625.0 96 | 4400.0 97 | 3300.0 98 | 3500.0 99 | 4975.0 100 | 4150.0 101 | 3950.0 102 | 5200.0 103 | 4750.0 104 | 4250.0 105 | 5350.0 106 | 3700.0 107 | 5000.0 108 | 4150.0 109 | 3175.0 110 | 2900.0 111 | 3950.0 112 | 4875.0 113 | 4675.0 114 | 5500.0 115 | 2900.0 116 | 3350.0 117 | 4600.0 118 | 4650.0 119 | 5700.0 120 | 3450.0 121 | 3150.0 122 | 4000.0 123 | 3400.0 124 | 4200.0 125 | 3700.0 126 | 3600.0 127 | 3550.0 128 | 4600.0 129 | 4300.0 130 | 4100.0 131 | 3950.0 132 | 4500.0 133 | 3700.0 134 | 3450.0 135 | 4775.0 136 | 4050.0 137 | 4300.0 138 | 4300.0 139 | 4100.0 140 | 4500.0 141 | 4925.0 142 | 4700.0 143 | 3500.0 144 | 3300.0 145 | 3325.0 146 | 4300.0 147 | 3950.0 148 | 3950.0 149 | 3800.0 150 | 4100.0 151 | 3475.0 152 | 3325.0 153 | 4200.0 154 | 2925.0 155 | 3425.0 156 | 5250.0 157 | 5850.0 158 | 3550.0 159 | 5200.0 160 | 3175.0 161 | 3950.0 162 | 3650.0 163 | 5100.0 164 | 3550.0 165 | 3325.0 166 | 3350.0 167 | 5150.0 168 | 3725.0 169 | 3900.0 170 | 3050.0 171 | 3550.0 172 | 3900.0 173 | 3000.0 174 | 3800.0 175 | 3725.0 176 | 4800.0 177 | 4850.0 178 | 4000.0 179 | 3275.0 180 | 3400.0 181 | 3675.0 182 | 3950.0 183 | 5650.0 184 | 3700.0 185 | 3250.0 186 | 5700.0 187 | 4300.0 188 | 3700.0 189 | 5600.0 190 | 3900.0 191 | 3800.0 192 | 3800.0 193 | 3350.0 194 | 3850.0 195 | 3900.0 196 | 4875.0 197 | 5550.0 198 | 3250.0 199 | 6300.0 200 | 5050.0 201 | 3950.0 202 | 3800.0 203 | 4900.0 204 | 3550.0 205 | 3750.0 206 | 5400.0 207 | 3500.0 208 | 3450.0 209 | 3650.0 210 | 3975.0 211 | 5150.0 212 | 3400.0 213 | 4450.0 214 | 5500.0 215 | 5650.0 216 | 3500.0 217 | 3775.0 218 | 3800.0 219 | 4850.0 220 | 5400.0 221 | 3600.0 222 | 3600.0 223 | 3400.0 224 | 3200.0 225 | 3600.0 226 | 5650.0 227 | 3250.0 228 | 5100.0 229 | 3800.0 230 | 5400.0 231 | "" 232 | 3750.0 233 | 3450.0 234 | 5350.0 235 | 3950.0 236 | 4450.0 237 | 3800.0 238 | 5950.0 239 | 3200.0 240 | 3575.0 241 | 4700.0 242 | -------------------------------------------------------------------------------- /datasets/Part3/302_worlddata.csv: -------------------------------------------------------------------------------- 1 | year,Afghanistan,Albania,Algeria,Andorra,Angola,Antigua & Barbuda,Argentina,Armenia,Australia,Austria,Azerbaijan,Bahamas,Bahrain,Bangladesh,Barbados,Belarus,Belgium,Belize,Benin,Bhutan,Bolivia,Bosnia-Herzegovina,Botswana,Brazil,Brunei,Bulgaria,Burkina Faso,Burundi,Cote d'Ivoire,Cabo Verde,Cambodia,Cameroon,Canada,Central African Republic,Chad,Chile,China,Colombia,Comoros,Congo,Cook Islands,Costa Rica,Croatia,Cuba,Cyprus,Czech Republic,North Korea,DR Congo,Denmark,Djibouti,Dominica,Dominican Republic,Ecuador,Egypt,El Salvador,Equatorial Guinea,Eritrea,Estonia,Ethiopia,Fiji,Finland,France,Gabon,Gambia,Georgia,Germany,Ghana,Greece,Grenada,Guatemala,Guinea,Guinea-Bissau,Guyana,Haiti,Honduras,Hungary,Iceland,India,Indonesia,Iran,Iraq,Ireland,Israel,Italy,Jamaica,Japan,Jordan,Kazakhstan,Kenya,Kiribati,Kuwait,Kyrgyzstan,Laos,Latvia,Lebanon,Lesotho,Liberia,Libya,Lithuania,Luxembourg,Madagascar,Malawi,Malaysia,Maldives,Mali,Malta,Marshall Islands,Mauritania,Mauritius,Mexico,Micronesia,Monaco,Mongolia,Montenegro,Morocco,Mozambique,Myanmar,Namibia,Nauru,Nepal,Netherlands,New Zealand,Nicaragua,Niger,Nigeria,Niue,Norway,Oman,Pakistan,Palau,Panama,Papua New Guinea,Paraguay,Peru,Philippines,Poland,Portugal,Qatar,South Korea,Moldova,Romania,Russian Federation,Rwanda,St. Kitts & Nevis,St. Lucia,St. Vincent & the Grenadines,Samoa,San Marino,Sao Tome & Principe,Saudi Arabia,Senegal,Serbia,Seychelles,Sierra Leone,Singapore,Slovakia,Slovenia,Solomon Islands,Somalia,South Africa,Spain,Sri Lanka,Sudan,Suriname,Swaziland,Sweden,Switzerland,Syria,Tajikistan,Thailand,Macedonia,Timor-Leste,Togo,Tonga,Trinidad & Tobago,Tunisia,Turkey,Turkmenistan,Tuvalu,Uganda,Ukraine,United Arab Emirates,United Kingdom,Tanzania,USA,Uruguay,Uzbekistan,Vanuatu,Venezuela,Vietnam,Yemen,Zambia,Zimbabwe 2 | 1999,0,89,25,245,217,102,193,21,261,279,21,122,42,0,143,142,295,263,34,23,167,76,173,245,31,231,25,88,37,144,57,147,240,17,15,130,79,159,1,76,0,149,230,93,192,361,0,32,224,15,52,193,162,6,52,92,18,224,20,77,263,127,347,8,52,346,31,133,199,53,9,28,93,1,69,234,233,9,5,0,9,313,63,85,82,77,6,124,58,21,0,31,62,281,20,82,19,0,343,236,26,8,13,0,5,149,0,0,98,238,62,0,77,31,12,47,5,376,49,5,251,203,78,3,42,188,169,22,0,306,285,44,213,163,71,343,194,1,140,109,297,247,43,194,171,120,105,0,56,0,9,283,157,25,60,196,270,56,0,225,284,16,8,128,90,152,185,5,2,99,106,1,36,36,197,51,51,19,6,45,206,16,219,36,249,115,25,21,333,111,6,32,64 3 | 2000,0,132,0,138,57,128,25,179,72,75,46,176,63,0,173,373,84,114,4,0,41,173,35,145,2,252,7,0,1,56,65,1,122,2,1,124,192,76,3,1,254,87,87,137,154,170,0,3,81,44,286,147,74,4,69,0,0,194,3,35,133,151,98,0,100,117,3,112,438,69,0,31,302,326,98,215,61,114,1,0,3,118,69,42,88,202,21,246,22,34,0,88,0,216,55,50,152,0,244,133,15,11,4,0,1,100,0,0,31,68,50,0,189,114,6,18,1,3,0,6,88,79,118,2,5,200,71,16,0,63,104,39,117,160,186,215,67,42,16,226,122,326,2,205,315,221,18,0,38,5,1,131,25,3,12,293,51,11,0,76,157,104,13,178,2,60,100,35,15,258,27,1,2,21,156,3,22,71,41,9,237,135,126,6,158,35,101,18,100,2,0,19,18 4 | 2001,0,54,14,312,45,45,221,11,212,191,5,51,7,0,36,42,212,8,13,0,8,8,35,16,1,94,7,0,7,16,1,4,100,1,1,172,8,3,1,9,74,11,254,5,113,134,0,1,278,3,26,9,3,1,2,233,0,59,0,1,97,370,59,1,149,175,10,218,28,2,2,21,1,1,2,185,78,0,0,0,0,165,9,237,9,16,1,12,2,1,0,6,123,62,31,0,2,0,56,271,4,1,0,0,1,120,0,0,18,5,18,0,8,128,10,5,0,1,8,0,190,175,1,1,2,7,129,1,0,23,18,1,74,21,1,56,339,7,9,18,167,73,0,32,71,11,24,0,140,0,7,127,51,2,11,116,276,1,0,81,112,0,0,7,2,186,280,16,0,1,86,4,19,5,7,20,7,32,9,0,45,5,195,1,84,220,8,11,3,1,0,4,4 5 | 2002,0,4.9,0.7,12.4,5.9,4.9,8.3,3.8,10.4,9.7,1.3,6.3,2,0,6.3,14.4,10.5,6.8,1.1,0.4,3.8,4.6,5.4,7.2,0.6,10.3,4.3,6.3,4,4,2.2,5.8,8.2,1.8,0.4,7.6,5,4.2,0.1,1.7,5.9,4.4,10.2,4.2,8.2,11.8,0,2.3,10.4,1.1,6.6,6.2,4.2,0.2,2.2,5.8,0.5,9.5,0.7,2,10,11.8,8.9,2.4,5.4,11.3,1.8,8.3,11.9,2.2,0.2,2.5,7.1,5.9,3,11.3,6.6,2.2,0.1,0,0.2,11.4,2.5,6.5,3.4,7,0.5,6.8,1.8,1,0,2.4,6.2,10.5,1.9,2.8,3.1,0,12.9,11.4,0.8,1.5,0.3,0,0.6,6.6,0,0,2.6,5.5,2.3,0,4.9,4.9,0.5,1.3,0.1,6.8,1,0.2,9.4,9.3,3.5,0.1,9.1,7,6.7,0.7,0,6.9,7.2,1.5,7.3,6.1,4.6,10.9,11,0.9,9.8,6.3,10.4,11.5,6.8,7.7,10.1,6.3,2.6,0,4.2,0.1,0.3,9.6,4.1,6.7,1.5,11.4,10.6,1.2,0,8.2,10,2.2,1.7,5.6,4.7,7.2,10.2,1,0.3,6.4,3.9,0.1,1.3,1.1,6.4,1.3,1.4,2.2,1,8.3,8.9,2.8,10.4,5.7,8.7,6.6,2.4,0.9,7.7,2,0.1,2.5,4.7 6 | -------------------------------------------------------------------------------- /datasets/Part3/501_trash_bag.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AnalyticsKnight/yemoonsaBigdata/c2d7e19a53dec83f4ba9fc8d75244b67753497a9/datasets/Part3/501_trash_bag.csv -------------------------------------------------------------------------------- /datasets/Part3/503_students.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AnalyticsKnight/yemoonsaBigdata/c2d7e19a53dec83f4ba9fc8d75244b67753497a9/datasets/Part3/503_students.csv -------------------------------------------------------------------------------- /datasets/Part3/ex6/06.01.01-Fire Station Data.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AnalyticsKnight/yemoonsaBigdata/c2d7e19a53dec83f4ba9fc8d75244b67753497a9/datasets/Part3/ex6/06.01.01-Fire Station Data.csv -------------------------------------------------------------------------------- /datasets/Part3/ex6/06.01.02-Elementary School Data.csv: 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-------------------------------------------------------------------------------- /datasets/Part3/ex6/06.02.03-Metaverse Testing Data_y.csv: -------------------------------------------------------------------------------- 1 | id,Preferred Metaverse Type 2 | 1,3 3 | 2,0 4 | 3,3 5 | 4,3 6 | 5,1 7 | 6,3 8 | 7,1 9 | 8,3 10 | 9,0 11 | 10,0 12 | 11,3 13 | 12,0 14 | 13,1 15 | 14,0 16 | 15,0 17 | 16,1 18 | 17,3 19 | 18,1 20 | 19,3 21 | 20,2 22 | 21,0 23 | 22,1 24 | 23,1 25 | 24,1 26 | 25,1 27 | 26,2 28 | 27,3 29 | 28,2 30 | 29,2 31 | 30,1 32 | 31,2 33 | 32,0 34 | 33,0 35 | 34,2 36 | 35,2 37 | 36,3 38 | 37,2 39 | 38,0 40 | 39,0 41 | 40,3 42 | 41,0 43 | 42,0 44 | 43,3 45 | 44,2 46 | 45,0 47 | 46,2 48 | 47,2 49 | 48,0 50 | 49,2 51 | 50,3 52 | 51,2 53 | 52,2 54 | 53,0 55 | 54,3 56 | 55,0 57 | 56,2 58 | 57,2 59 | 58,2 60 | 59,2 61 | 60,2 62 | 61,0 63 | 62,0 64 | 63,2 65 | 64,0 66 | 65,3 67 | 66,2 68 | 67,1 69 | 68,2 70 | 69,0 71 | 70,3 72 | 71,0 73 | 72,3 74 | 73,2 75 | 74,1 76 | 75,2 77 | 76,1 78 | 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247,3 249 | 248,1 250 | 249,0 251 | 250,0 252 | 251,0 253 | 252,3 254 | 253,1 255 | 254,3 256 | 255,3 257 | 256,1 258 | 257,3 259 | 258,0 260 | 259,0 261 | 260,3 262 | 261,2 263 | 262,3 264 | 263,1 265 | 264,3 266 | 265,0 267 | 266,1 268 | 267,1 269 | 268,0 270 | 269,3 271 | 270,2 272 | 271,0 273 | 272,3 274 | 273,0 275 | 274,3 276 | 275,3 277 | 276,2 278 | 277,1 279 | 278,1 280 | 279,3 281 | 280,0 282 | 281,0 283 | 282,1 284 | 283,0 285 | 284,3 286 | 285,0 287 | 286,3 288 | 287,3 289 | 288,3 290 | 289,2 291 | 290,0 292 | 291,3 293 | 292,3 294 | 293,1 295 | 294,0 296 | 295,3 297 | 296,0 298 | 297,0 299 | 298,3 300 | 299,1 301 | 300,1 302 | -------------------------------------------------------------------------------- /datasets/Part3/ex6/06.03.02-fish_weight_data.csv: -------------------------------------------------------------------------------- 1 | id,Length,Height,Width,FinSize,Weight 2 | 1,63.91,28.72,3.46,18.22,194.32 3 | 2,77.22,14.45,7.12,15.71,194.59 4 | 3,68.22,30.73,4.09,7.33,191.24 5 | 4,63.59,38.68,2.21,2.54,194.23 6 | 5,53.89,13.71,0.73,8.74,131.82 7 | 6,71.67,25.17,1.14,5.41,183.42 8 | 7,55.01,25.72,6.95,3.52,153.67 9 | 8,91.34,25.03,4.81,2.02,225.12 10 | 9,97.09,12.81,5.6,14.79,230.77 11 | 10,50.68,38.35,9.02,1.22,163.18 12 | 11,83.34,20.65,9.91,15.64,217.94 13 | 12,62.31,34.62,2.56,3.79,181.08 14 | 13,65.44,29.48,6.8,2.51,177.41 15 | 14,94.05,15.41,3,2.7,211.35 16 | 15,25.68,33.48,0.7,13.77,117.07 17 | 16,26.97,18.88,7.7,5.66,87.32 18 | 17,21.62,35.84,3.54,8.99,101.97 19 | 18,86.61,25.34,4.14,11.59,223.33 20 | 19,82.25,35.86,6.09,17.35,237.9 21 | 20,89.6,29.24,8.39,14.81,253.35 22 | 21,98.29,30.38,6.48,6.14,248.01 23 | 22,83.93,22.55,8.79,3.5,214.3 24 | 23,56.92,38.46,3.1,2.05,178.87 25 | 24,82.44,27.54,8.08,6.73,211.02 26 | 25,29.46,19.83,2.26,5.98,99.64 27 | 26,71.19,26.22,9.55,9.67,190.24 28 | 27,31.47,5.67,7.03,13.98,75.64 29 | 28,95.57,15.56,2.55,14.22,233.01 30 | 29,61.75,28.11,9.5,6.39,168.03 31 | 30,53.17,15.15,7.44,8.22,143.26 32 | 31,41.16,26.63,2.91,4.44,124.74 33 | 32,81.94,20.01,2.53,15.98,219.44 34 | 33,56.49,9.74,5.42,2.08,137.72 35 | 34,65.47,15.44,0.74,14.24,166.44 36 | 35,21.5,24.95,2.47,15.8,94.02 37 | 36,69.41,25.68,4.53,15.77,189.3 38 | 37,68.97,25.1,4.05,5.93,181.34 39 | 38,69.35,27.86,4.9,8.1,189.64 40 | 39,95.5,27.82,3.14,12.16,244.64 41 | 40,74.55,20.1,6.07,6.18,189.25 42 | 41,48.76,36.38,8.71,8.05,167.39 43 | 42,54.96,17.86,1.62,4.74,144.01 44 | 43,75.81,20.26,5.42,9.74,190.64 45 | 44,24.82,36.22,1.75,1.85,99.51 46 | 45,73.34,33.22,7.31,16.2,223.19 47 | 46,73.65,29.64,4.26,2.46,192.9 48 | 47,36.83,8.51,5.87,10.86,96.96 49 | 48,30.31,37.18,2.24,6.83,121.73 50 | 49,45.23,30,1.88,11.97,139.15 51 | 50,49.1,39.96,5.14,19.23,177.55 52 | 51,65.62,10.23,3.88,13.27,159.4 53 | 52,55.09,35.38,9.43,1.67,172.74 54 | 53,99.07,10.69,7.77,9.18,230.73 55 | 54,28.16,26.54,7.61,10.69,110.64 56 | 55,36.71,9.33,9.09,11.19,107.81 57 | 56,32.9,34.68,1.29,13.95,134.11 58 | 57,72.25,33.26,5.75,6.27,203.46 59 | 58,40.26,24.92,6.05,3.45,125.18 60 | 59,57.3,19.25,9.64,8.46,155.8 61 | 60,39.55,7.42,3.28,19.17,109.07 62 | 61,32.72,29.41,2.79,4.56,114.17 63 | 62,28.83,20.87,1.45,18.18,102.23 64 | 63,72.51,30.27,0.66,11.33,203.49 65 | 64,31.05,35.32,9.33,9.68,124.46 66 | 65,35.73,39.14,6.86,17.76,155.57 67 | 66,49.5,34.95,7.96,9.71,163.87 68 | 67,85.68,5.41,3.18,14.76,196.07 69 | 68,27.77,17.6,6.07,8.58,96.02 70 | 69,87.04,30.55,1.11,18.18,241.86 71 | 70,27.69,11.01,5.11,14.11,80.71 72 | 71,98.12,23.24,9.79,14.29,249.25 73 | 72,57.49,6.9,8.83,7.23,141.38 74 | 73,98.14,12,3.71,15.38,223.02 75 | 74,68.39,5.65,9.63,13.09,165.1 76 | 75,79.14,32.78,2.7,5.56,203.08 77 | 76,23.14,12.84,9.52,4.05,69.24 78 | 77,42.62,17.09,9.44,16.13,131.92 79 | 78,29.62,37.48,8.09,19.22,130.44 80 | 79,43.69,29.65,6.49,9.7,139.87 81 | 80,29.5,6.11,8.81,12.23,77.44 82 | 81,45.44,10.76,3.28,17.3,134.2 83 | 82,53.14,26.75,8.56,9.69,161.2 84 | 83,25.13,25.2,6.37,19.09,113.17 85 | 84,75.4,13.33,0.63,11.94,181.94 86 | 85,65.33,37.7,3.8,16.59,203.93 87 | 86,41.23,26.49,1.91,18.27,133.34 88 | 87,61.86,23.75,9.83,16.49,179.29 89 | 88,27.52,25.65,5.04,4.03,96.26 90 | 89,66.08,30.55,5.23,12.95,197.84 91 | 90,94.34,15.92,6.57,8.57,230.12 92 | 91,45.49,18.94,4,2.19,130.91 93 | 92,73.39,12.34,1.8,9.06,179.51 94 | 93,30.54,11.52,8.31,5.91,85.43 95 | 94,77.31,38.05,2.3,17.13,224.4 96 | 95,43.15,30.88,5.36,1.63,140.76 97 | 96,34.66,22.17,2.63,19.22,124.89 98 | 97,66.92,12.96,1.43,7.75,152.9 99 | 98,21.61,13.9,8.69,7.78,77.97 100 | 99,86.32,7.03,9.74,1.31,193.44 101 | 100,20.38,20.2,9.63,4.52,80.69 102 | -------------------------------------------------------------------------------- /datasets/Part3/ex7/07.01.02-fish_weight_data.csv: -------------------------------------------------------------------------------- 1 | id,Length,Height,Width,FinSize,Weight 2 | 1,63.91,28.72,3.46,18.22,194.32 3 | 2,77.22,14.45,7.12,15.71,194.59 4 | 3,68.22,30.73,4.09,7.33,191.24 5 | 4,63.59,38.68,2.21,2.54,194.23 6 | 5,53.89,13.71,0.73,8.74,131.82 7 | 6,71.67,25.17,1.14,5.41,183.42 8 | 7,55.01,25.72,6.95,3.52,153.67 9 | 8,91.34,25.03,4.81,2.02,225.12 10 | 9,97.09,12.81,5.6,14.79,230.77 11 | 10,50.68,38.35,9.02,1.22,163.18 12 | 11,83.34,20.65,9.91,15.64,217.94 13 | 12,62.31,34.62,2.56,3.79,181.08 14 | 13,65.44,29.48,6.8,2.51,177.41 15 | 14,94.05,15.41,3,2.7,211.35 16 | 15,25.68,33.48,0.7,13.77,117.07 17 | 16,26.97,18.88,7.7,5.66,87.32 18 | 17,21.62,35.84,3.54,8.99,101.97 19 | 18,86.61,25.34,4.14,11.59,223.33 20 | 19,82.25,35.86,6.09,17.35,237.9 21 | 20,89.6,29.24,8.39,14.81,253.35 22 | 21,98.29,30.38,6.48,6.14,248.01 23 | 22,83.93,22.55,8.79,3.5,214.3 24 | 23,56.92,38.46,3.1,2.05,178.87 25 | 24,82.44,27.54,8.08,6.73,211.02 26 | 25,29.46,19.83,2.26,5.98,99.64 27 | 26,71.19,26.22,9.55,9.67,190.24 28 | 27,31.47,5.67,7.03,13.98,75.64 29 | 28,95.57,15.56,2.55,14.22,233.01 30 | 29,61.75,28.11,9.5,6.39,168.03 31 | 30,53.17,15.15,7.44,8.22,143.26 32 | 31,41.16,26.63,2.91,4.44,124.74 33 | 32,81.94,20.01,2.53,15.98,219.44 34 | 33,56.49,9.74,5.42,2.08,137.72 35 | 34,65.47,15.44,0.74,14.24,166.44 36 | 35,21.5,24.95,2.47,15.8,94.02 37 | 36,69.41,25.68,4.53,15.77,189.3 38 | 37,68.97,25.1,4.05,5.93,181.34 39 | 38,69.35,27.86,4.9,8.1,189.64 40 | 39,95.5,27.82,3.14,12.16,244.64 41 | 40,74.55,20.1,6.07,6.18,189.25 42 | 41,48.76,36.38,8.71,8.05,167.39 43 | 42,54.96,17.86,1.62,4.74,144.01 44 | 43,75.81,20.26,5.42,9.74,190.64 45 | 44,24.82,36.22,1.75,1.85,99.51 46 | 45,73.34,33.22,7.31,16.2,223.19 47 | 46,73.65,29.64,4.26,2.46,192.9 48 | 47,36.83,8.51,5.87,10.86,96.96 49 | 48,30.31,37.18,2.24,6.83,121.73 50 | 49,45.23,30,1.88,11.97,139.15 51 | 50,49.1,39.96,5.14,19.23,177.55 52 | 51,65.62,10.23,3.88,13.27,159.4 53 | 52,55.09,35.38,9.43,1.67,172.74 54 | 53,99.07,10.69,7.77,9.18,230.73 55 | 54,28.16,26.54,7.61,10.69,110.64 56 | 55,36.71,9.33,9.09,11.19,107.81 57 | 56,32.9,34.68,1.29,13.95,134.11 58 | 57,72.25,33.26,5.75,6.27,203.46 59 | 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17 | 180.9,60.0,247.0,Male 18 | 183.3,73.2,284.0,Male 19 | 177.2,78.6,260.0,Male 20 | 167.8,76.8,258.0,Male 21 | 155.9,51.4,240.0,Female 22 | 172.5,56.3,260.0,Male 23 | 146.7,60.0,221.0,Female 24 | 153.4,55.4,231.0,Female 25 | 185.8,57.1,274.0,Male 26 | 174.7,58.3,278.0,Male 27 | 159.0,61.2,250.0,Female 28 | 173.0,65.7,236.0,Female 29 | 158.6,63.8,248.0,Female 30 | 163.8,42.1,240.0,Female 31 | 169.8,72.8,269.0,Male 32 | 165.5,57.5,249.0,Female 33 | 171.7,60.6,264.0,Male 34 | 159.9,58.0,267.0,Female 35 | 174.7,60.4,265.0,Male 36 | 157.2,58.9,222.0,Female 37 | 160.4,56.3,243.0,Female 38 | 170.8,67.6,249.0,Male 39 | 157.0,50.7,245.0,Female 40 | 153.1,61.2,258.0,Female 41 | 160.5,74.3,280.0,Male 42 | 170.5,66.0,268.0,Male 43 | 158.2,52.5,220.0,Female 44 | 183.1,80.8,258.0,Male 45 | 151.2,59.2,233.0,Female 46 | 160.9,52.4,248.0,Female 47 | 164.2,49.2,223.0,Female 48 | 150.5,59.9,226.0,Female 49 | 157.0,50.2,239.0,Female 50 | 161.4,71.9,278.0,Male 51 | 160.5,52.5,241.0,Female 52 | 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163.0,60.1,221.0,Female 88 | 158.8,62.0,220.0,Female 89 | 162.3,37.0,228.0,Female 90 | 160.2,41.7,228.0,Female 91 | 164.7,86.5,272.0,Male 92 | 163.4,53.2,236.0,Female 93 | 150.3,52.7,231.0,Female 94 | 181.0,81.4,292.0,Male 95 | 181.0,64.0,253.0,Male 96 | 164.6,57.9,219.0,Female 97 | 177.5,78.1,271.0,Male 98 | 173.7,61.9,248.0,Male 99 | 164.8,52.5,237.0,Female 100 | 170.4,60.5,244.0,Female 101 | 176.0,85.2,296.0,Male 102 | 165.6,59.7,215.0,Female 103 | 175.9,68.7,271.0,Male 104 | 181.6,42.6,261.0,Male 105 | 161.6,51.3,223.0,Female 106 | 181.1,72.8,255.0,Male 107 | 177.2,78.2,270.0,Male 108 | 180.6,70.8,264.0,Male 109 | 153.0,54.3,242.0,Female 110 | 165.3,54.1,245.0,Female 111 | 168.2,62.2,268.0,Male 112 | 153.7,61.6,246.0,Female 113 | 177.0,73.4,300.0,Male 114 | 171.7,48.0,273.0,Male 115 | 174.6,64.8,255.0,Male 116 | 171.9,71.8,262.0,Male 117 | 191.9,60.4,258.0,Male 118 | 146.3,57.0,216.0,Female 119 | 171.2,67.2,259.0,Male 120 | 170.4,63.0,256.0,Female 121 | 168.8,81.3,277.0,Male 122 | 164.6,63.2,229.0,Female 123 | 157.5,61.9,208.0,Female 124 | 169.1,59.4,239.0,Female 125 | 161.3,46.8,236.0,Female 126 | 166.6,65.4,272.0,Female 127 | 174.5,63.4,262.0,Male 128 | 153.9,54.4,245.0,Female 129 | 159.8,63.8,237.0,Female 130 | 157.9,50.3,220.0,Female 131 | 150.6,45.6,256.0,Female 132 | 181.3,83.7,250.0,Male 133 | 148.2,49.7,242.0,Female 134 | 163.0,63.4,243.0,Female 135 | 187.2,67.8,256.0,Male 136 | 163.2,61.1,274.0,Male 137 | 154.7,62.5,257.0,Female 138 | 158.4,78.6,236.0,Male 139 | 177.8,82.2,271.0,Male 140 | 166.0,64.1,266.0,Male 141 | 173.7,68.0,268.0,Male 142 | 161.3,45.3,237.0,Female 143 | 169.1,51.9,235.0,Female 144 | 182.5,44.4,288.0,Male 145 | 170.6,71.6,271.0,Male 146 | 165.7,52.9,232.0,Female 147 | 184.1,46.4,270.0,Male 148 | 151.9,48.9,264.0,Female 149 | 159.7,56.6,219.0,Female 150 | 155.6,56.6,244.0,Female 151 | 163.7,55.1,246.0,Female 152 | 178.2,51.7,271.0,Male 153 | 180.4,75.9,265.0,Male 154 | 169.4,58.8,268.0,Male 155 | 166.8,39.4,232.0,Female 156 | 167.0,77.8,262.0,Male 157 | 157.2,53.3,245.0,Female 158 | 157.6,30.6,247.0,Female 159 | 162.6,53.2,227.0,Female 160 | 177.5,73.8,263.0,Male 161 | 158.7,47.6,238.0,Female 162 | 164.1,74.2,256.0,Male 163 | 176.7,55.9,261.0,Male 164 | 159.3,41.7,241.0,Female 165 | 172.3,52.6,250.0,Male 166 | 163.6,62.2,238.0,Female 167 | 162.4,56.8,244.0,Female 168 | 184.0,54.9,280.0,Male 169 | 172.3,67.8,265.0,Male 170 | 157.7,45.2,242.0,Female 171 | 186.7,69.4,270.0,Male 172 | 155.9,54.1,246.0,Female 173 | 172.4,65.5,276.0,Male 174 | 154.5,57.0,250.0,Female 175 | 184.5,69.1,291.0,Male 176 | 166.2,47.0,225.0,Female 177 | 172.9,80.3,269.0,Male 178 | 156.4,67.4,243.0,Female 179 | 158.8,73.2,278.0,Male 180 | 176.6,74.5,269.0,Male 181 | 165.8,66.3,256.0,Male 182 | 154.4,44.9,245.0,Female 183 | 175.7,65.5,260.0,Male 184 | 159.9,63.6,216.0,Female 185 | 177.6,64.5,242.0,Male 186 | 148.3,47.7,243.0,Female 187 | 177.8,60.6,285.0,Male 188 | 185.0,74.0,261.0,Male 189 | 182.9,77.6,283.0,Male 190 | 170.4,41.7,302.0,Male 191 | 163.7,69.6,306.0,Male 192 | 162.0,62.6,222.0,Female 193 | 162.6,64.7,286.0,Male 194 | 172.6,62.1,273.0,Male 195 | 166.5,43.4,225.0,Female 196 | 169.5,80.9,274.0,Male 197 | 189.9,79.4,269.0,Male 198 | 183.9,72.1,259.0,Male 199 | 164.1,49.4,237.0,Female 200 | 184.3,69.0,258.0,Male 201 | 171.7,80.2,262.0,Male 202 | 157.7,50.9,242.0,Female 203 | 172.3,54.0,257.0,Male 204 | 154.4,64.9,250.0,Female 205 | 179.1,64.9,258.0,Male 206 | 171.4,59.5,307.0,Male 207 | 146.5,59.5,225.0,Female 208 | 159.4,47.1,226.0,Female 209 | 167.0,87.5,268.0,Male 210 | 169.6,75.6,270.0,Male 211 | 180.0,51.8,275.0,Male 212 | 164.6,41.7,245.0,Female 213 | 170.2,54.9,250.0,Female 214 | 179.7,62.9,271.0,Male 215 | 164.0,65.5,274.0,Male 216 | 180.1,70.2,281.0,Male 217 | 167.3,69.0,270.0,Male 218 | 187.9,67.9,263.0,Male 219 | 160.1,47.6,242.0,Female 220 | 172.4,52.1,269.0,Male 221 | 158.1,41.9,239.0,Female 222 | 185.4,75.2,279.0,Male 223 | 165.6,74.8,272.0,Male 224 | 178.7,74.2,250.0,Male 225 | 159.8,48.9,239.0,Female 226 | 154.6,65.5,230.0,Female 227 | 154.6,55.6,227.0,Female 228 | 172.0,61.7,291.0,Male 229 | 180.5,69.4,264.0,Male 230 | 165.6,58.2,246.0,Female 231 | 159.8,41.5,239.0,Female 232 | 156.8,60.2,252.0,Female 233 | 156.1,58.7,261.0,Female 234 | 170.3,86.8,257.0,Male 235 | 175.2,69.9,270.0,Male 236 | 169.1,64.1,260.0,Male 237 | 162.0,57.6,267.0,Female 238 | 168.2,50.9,244.0,Female 239 | 182.0,70.3,269.0,Male 240 | 160.3,61.9,230.0,Female 241 | 172.7,74.7,275.0,Male 242 | 176.7,66.3,285.0,Male 243 | 172.8,58.3,238.0,Female 244 | 180.3,64.6,259.0,Male 245 | 160.2,34.3,226.0,Female 246 | 157.9,44.2,228.0,Female 247 | 157.4,41.9,235.0,Female 248 | 156.8,55.2,254.0,Female 249 | 176.2,70.2,271.0,Male 250 | 176.6,59.8,268.0,Male 251 | 177.2,56.3,283.0,Male 252 | 166.5,49.9,237.0,Female 253 | 154.7,60.6,227.0,Female 254 | 158.7,48.1,241.0,Female 255 | 162.4,83.3,256.0,Male 256 | 160.4,53.3,231.0,Female 257 | 154.7,62.5,234.0,Female 258 | 161.6,48.6,232.0,Female 259 | 162.8,62.4,238.0,Female 260 | 165.0,90.0,257.0,Male 261 | 164.2,95.9,264.0,Male 262 | 151.2,49.5,244.0,Female 263 | 161.1,48.2,262.0,Female 264 | 171.3,58.2,284.0,Male 265 | 184.3,61.8,249.0,Male 266 | 182.2,49.5,252.0,Male 267 | 165.8,54.6,237.0,Female 268 | 162.1,53.8,224.0,Female 269 | 183.9,83.3,273.0,Male 270 | 160.3,73.7,237.0,Female 271 | 158.4,57.9,258.0,Female 272 | 169.6,52.9,244.0,Female 273 | 151.7,52.5,230.0,Female 274 | 154.0,68.5,230.0,Female 275 | 171.3,73.7,289.0,Male 276 | 178.4,97.6,269.0,Male 277 | 176.8,72.8,292.0,Male 278 | 163.0,54.1,229.0,Female 279 | 176.7,84.0,264.0,Male 280 | 163.2,57.0,250.0,Female 281 | 169.4,93.5,251.0,Male 282 | 157.8,62.5,244.0,Female 283 | 165.0,51.0,239.0,Female 284 | 175.1,85.7,280.0,Male 285 | 180.6,63.4,285.0,Male 286 | 176.6,83.9,300.0,Male 287 | 158.2,51.7,230.0,Female 288 | 174.0,66.2,275.0,Male 289 | 174.0,66.4,286.0,Male 290 | 154.4,58.5,235.0,Female 291 | 164.3,66.1,236.0,Female 292 | 162.6,56.4,230.0,Female 293 | 161.4,57.3,245.0,Female 294 | 173.6,70.9,253.0,Male 295 | 157.9,59.4,251.0,Female 296 | 172.0,71.0,273.0,Male 297 | 176.4,75.4,243.0,Male 298 | 174.7,72.4,255.0,Male 299 | 186.7,71.6,293.0,Male 300 | 155.3,47.7,243.0,Female 301 | 149.9,56.7,241.0,Female 302 | -------------------------------------------------------------------------------- /datasets/Part5/302_worlddata.csv: -------------------------------------------------------------------------------- 1 | year,Afghanistan,Albania,Algeria,Andorra,Angola,Antigua & Barbuda,Argentina,Armenia,Australia,Austria,Azerbaijan,Bahamas,Bahrain,Bangladesh,Barbados,Belarus,Belgium,Belize,Benin,Bhutan,Bolivia,Bosnia-Herzegovina,Botswana,Brazil,Brunei,Bulgaria,Burkina Faso,Burundi,Cote d'Ivoire,Cabo Verde,Cambodia,Cameroon,Canada,Central African Republic,Chad,Chile,China,Colombia,Comoros,Congo,Cook Islands,Costa Rica,Croatia,Cuba,Cyprus,Czech Republic,North Korea,DR Congo,Denmark,Djibouti,Dominica,Dominican Republic,Ecuador,Egypt,El Salvador,Equatorial Guinea,Eritrea,Estonia,Ethiopia,Fiji,Finland,France,Gabon,Gambia,Georgia,Germany,Ghana,Greece,Grenada,Guatemala,Guinea,Guinea-Bissau,Guyana,Haiti,Honduras,Hungary,Iceland,India,Indonesia,Iran,Iraq,Ireland,Israel,Italy,Jamaica,Japan,Jordan,Kazakhstan,Kenya,Kiribati,Kuwait,Kyrgyzstan,Laos,Latvia,Lebanon,Lesotho,Liberia,Libya,Lithuania,Luxembourg,Madagascar,Malawi,Malaysia,Maldives,Mali,Malta,Marshall Islands,Mauritania,Mauritius,Mexico,Micronesia,Monaco,Mongolia,Montenegro,Morocco,Mozambique,Myanmar,Namibia,Nauru,Nepal,Netherlands,New Zealand,Nicaragua,Niger,Nigeria,Niue,Norway,Oman,Pakistan,Palau,Panama,Papua New Guinea,Paraguay,Peru,Philippines,Poland,Portugal,Qatar,South Korea,Moldova,Romania,Russian Federation,Rwanda,St. Kitts & Nevis,St. Lucia,St. Vincent & the Grenadines,Samoa,San Marino,Sao Tome & Principe,Saudi Arabia,Senegal,Serbia,Seychelles,Sierra Leone,Singapore,Slovakia,Slovenia,Solomon Islands,Somalia,South Africa,Spain,Sri Lanka,Sudan,Suriname,Swaziland,Sweden,Switzerland,Syria,Tajikistan,Thailand,Macedonia,Timor-Leste,Togo,Tonga,Trinidad & Tobago,Tunisia,Turkey,Turkmenistan,Tuvalu,Uganda,Ukraine,United Arab Emirates,United Kingdom,Tanzania,USA,Uruguay,Uzbekistan,Vanuatu,Venezuela,Vietnam,Yemen,Zambia,Zimbabwe 2 | 1999,0,89,25,245,217,102,193,21,261,279,21,122,42,0,143,142,295,263,34,23,167,76,173,245,31,231,25,88,37,144,57,147,240,17,15,130,79,159,1,76,0,149,230,93,192,361,0,32,224,15,52,193,162,6,52,92,18,224,20,77,263,127,347,8,52,346,31,133,199,53,9,28,93,1,69,234,233,9,5,0,9,313,63,85,82,77,6,124,58,21,0,31,62,281,20,82,19,0,343,236,26,8,13,0,5,149,0,0,98,238,62,0,77,31,12,47,5,376,49,5,251,203,78,3,42,188,169,22,0,306,285,44,213,163,71,343,194,1,140,109,297,247,43,194,171,120,105,0,56,0,9,283,157,25,60,196,270,56,0,225,284,16,8,128,90,152,185,5,2,99,106,1,36,36,197,51,51,19,6,45,206,16,219,36,249,115,25,21,333,111,6,32,64 3 | 2000,0,132,0,138,57,128,25,179,72,75,46,176,63,0,173,373,84,114,4,0,41,173,35,145,2,252,7,0,1,56,65,1,122,2,1,124,192,76,3,1,254,87,87,137,154,170,0,3,81,44,286,147,74,4,69,0,0,194,3,35,133,151,98,0,100,117,3,112,438,69,0,31,302,326,98,215,61,114,1,0,3,118,69,42,88,202,21,246,22,34,0,88,0,216,55,50,152,0,244,133,15,11,4,0,1,100,0,0,31,68,50,0,189,114,6,18,1,3,0,6,88,79,118,2,5,200,71,16,0,63,104,39,117,160,186,215,67,42,16,226,122,326,2,205,315,221,18,0,38,5,1,131,25,3,12,293,51,11,0,76,157,104,13,178,2,60,100,35,15,258,27,1,2,21,156,3,22,71,41,9,237,135,126,6,158,35,101,18,100,2,0,19,18 4 | 2001,0,54,14,312,45,45,221,11,212,191,5,51,7,0,36,42,212,8,13,0,8,8,35,16,1,94,7,0,7,16,1,4,100,1,1,172,8,3,1,9,74,11,254,5,113,134,0,1,278,3,26,9,3,1,2,233,0,59,0,1,97,370,59,1,149,175,10,218,28,2,2,21,1,1,2,185,78,0,0,0,0,165,9,237,9,16,1,12,2,1,0,6,123,62,31,0,2,0,56,271,4,1,0,0,1,120,0,0,18,5,18,0,8,128,10,5,0,1,8,0,190,175,1,1,2,7,129,1,0,23,18,1,74,21,1,56,339,7,9,18,167,73,0,32,71,11,24,0,140,0,7,127,51,2,11,116,276,1,0,81,112,0,0,7,2,186,280,16,0,1,86,4,19,5,7,20,7,32,9,0,45,5,195,1,84,220,8,11,3,1,0,4,4 5 | 2002,0,4.9,0.7,12.4,5.9,4.9,8.3,3.8,10.4,9.7,1.3,6.3,2,0,6.3,14.4,10.5,6.8,1.1,0.4,3.8,4.6,5.4,7.2,0.6,10.3,4.3,6.3,4,4,2.2,5.8,8.2,1.8,0.4,7.6,5,4.2,0.1,1.7,5.9,4.4,10.2,4.2,8.2,11.8,0,2.3,10.4,1.1,6.6,6.2,4.2,0.2,2.2,5.8,0.5,9.5,0.7,2,10,11.8,8.9,2.4,5.4,11.3,1.8,8.3,11.9,2.2,0.2,2.5,7.1,5.9,3,11.3,6.6,2.2,0.1,0,0.2,11.4,2.5,6.5,3.4,7,0.5,6.8,1.8,1,0,2.4,6.2,10.5,1.9,2.8,3.1,0,12.9,11.4,0.8,1.5,0.3,0,0.6,6.6,0,0,2.6,5.5,2.3,0,4.9,4.9,0.5,1.3,0.1,6.8,1,0.2,9.4,9.3,3.5,0.1,9.1,7,6.7,0.7,0,6.9,7.2,1.5,7.3,6.1,4.6,10.9,11,0.9,9.8,6.3,10.4,11.5,6.8,7.7,10.1,6.3,2.6,0,4.2,0.1,0.3,9.6,4.1,6.7,1.5,11.4,10.6,1.2,0,8.2,10,2.2,1.7,5.6,4.7,7.2,10.2,1,0.3,6.4,3.9,0.1,1.3,1.1,6.4,1.3,1.4,2.2,1,8.3,8.9,2.8,10.4,5.7,8.7,6.6,2.4,0.9,7.7,2,0.1,2.5,4.7 6 | -------------------------------------------------------------------------------- /datasets/Part5/501_trash_bag.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AnalyticsKnight/yemoonsaBigdata/c2d7e19a53dec83f4ba9fc8d75244b67753497a9/datasets/Part5/501_trash_bag.csv -------------------------------------------------------------------------------- /datasets/Part5/502_bmi.csv: -------------------------------------------------------------------------------- 1 | Gender,Height,Weight 2 | Male,174,96 3 | Male,189,87 4 | Female,185,110 5 | Female,195,104 6 | Male,149,61 7 | Male,189,104 8 | Male,147,92 9 | Male,154,111 10 | Male,174,90 11 | Female,169,103 12 | Male,195,81 13 | Female,159,80 14 | Female,192,101 15 | Male,155,51 16 | Male,191,79 17 | Female,153,107 18 | Female,157,110 19 | Male,140,129 20 | Male,144,145 21 | Male,172,139 22 | Male,157,110 23 | Female,153,149 24 | Female,169,97 25 | Male,185,139 26 | Female,172,67 27 | Female,151,64 28 | Male,190,95 29 | Male,187,62 30 | Female,163,159 31 | Male,179,152 32 | Male,153,121 33 | Male,178,52 34 | Female,195,65 35 | Female,160,131 36 | Female,157,153 37 | Female,189,132 38 | Female,197,114 39 | Male,144,80 40 | Female,171,152 41 | Female,185,81 42 | Female,175,120 43 | Female,149,108 44 | Male,157,56 45 | Male,161,118 46 | Female,182,126 47 | Male,185,76 48 | Female,188,122 49 | Male,181,111 50 | Male,161,72 51 | Male,140,152 52 | Female,168,135 53 | Female,176,54 54 | Male,163,110 55 | Male,172,105 56 | Male,196,116 57 | Female,187,89 58 | Male,172,92 59 | Male,178,127 60 | Female,164,70 61 | Male,143,88 62 | Female,191,54 63 | Female,141,143 64 | Male,193,54 65 | Male,190,83 66 | Male,175,135 67 | Female,179,158 68 | Female,172,96 69 | Female,168,59 70 | Female,164,82 71 | Female,194,136 72 | Female,153,51 73 | Male,178,117 74 | Male,141,80 75 | Male,180,75 76 | Female,185,100 77 | Female,197,154 78 | Male,165,104 79 | Female,168,90 80 | Female,176,122 81 | Male,181,51 82 | Male,164,75 83 | Female,166,140 84 | Female,190,105 85 | Male,186,118 86 | Male,168,123 87 | Male,198,50 88 | Female,175,141 89 | Male,145,117 90 | Female,159,104 91 | Female,185,140 92 | Female,178,154 93 | Female,183,96 94 | Female,194,111 95 | Male,177,61 96 | Male,197,119 97 | Female,170,156 98 | Male,142,69 99 | Male,160,139 100 | Male,195,69 101 | Female,190,50 102 | Male,199,156 103 | Male,154,105 104 | Male,161,155 105 | Female,198,145 106 | Female,192,140 107 | Male,195,126 108 | Male,166,160 109 | Male,159,154 110 | Female,181,106 111 | Male,149,66 112 | Female,150,70 113 | Female,146,157 114 | Male,190,135 115 | Female,192,90 116 | Female,177,96 117 | Male,148,60 118 | Female,165,57 119 | Female,146,104 120 | Male,144,108 121 | Female,176,156 122 | Female,168,87 123 | Male,187,122 124 | Male,187,138 125 | Female,184,160 126 | Female,158,149 127 | Male,158,96 128 | Male,194,115 129 | Female,145,79 130 | Male,182,151 131 | Male,154,54 132 | Female,168,139 133 | Female,187,70 134 | Female,158,153 135 | Female,167,110 136 | Female,171,155 137 | Female,183,150 138 | Female,190,156 139 | Male,194,108 140 | Male,171,147 141 | Male,159,124 142 | Female,169,54 143 | Female,167,85 144 | Male,180,149 145 | Male,163,123 146 | Male,140,79 147 | Male,197,125 148 | Male,194,106 149 | Female,140,146 150 | Male,195,98 151 | Female,168,115 152 | Female,196,50 153 | Male,140,52 154 | Female,150,60 155 | Female,168,140 156 | Female,155,111 157 | Female,179,103 158 | Female,182,84 159 | Male,168,160 160 | Female,187,102 161 | Male,181,105 162 | Male,199,99 163 | Female,184,76 164 | Male,192,101 165 | Female,182,143 166 | Female,172,111 167 | Male,181,78 168 | Male,176,109 169 | Female,156,106 170 | Female,151,67 171 | Female,188,80 172 | Male,187,136 173 | Male,174,138 174 | Male,167,151 175 | Female,196,131 176 | Male,197,149 177 | Female,185,119 178 | Female,170,102 179 | Female,181,94 180 | Female,166,126 181 | Male,188,100 182 | Female,162,74 183 | Male,177,117 184 | Male,162,97 185 | Male,180,73 186 | Female,192,108 187 | Male,165,80 188 | Female,167,135 189 | Female,182,84 190 | Female,161,134 191 | Male,158,95 192 | 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Female,150,153 498 | Female,184,121 499 | Female,141,136 500 | Male,150,95 501 | Male,173,131 -------------------------------------------------------------------------------- /datasets/Part5/503_students.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AnalyticsKnight/yemoonsaBigdata/c2d7e19a53dec83f4ba9fc8d75244b67753497a9/datasets/Part5/503_students.csv -------------------------------------------------------------------------------- /datasets/Part5/ex6/06.01.01-Fire Station Data.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AnalyticsKnight/yemoonsaBigdata/c2d7e19a53dec83f4ba9fc8d75244b67753497a9/datasets/Part5/ex6/06.01.01-Fire Station Data.csv -------------------------------------------------------------------------------- /datasets/Part5/ex6/06.01.02-Elementary School Data.csv: 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-------------------------------------------------------------------------------- /datasets/Part5/ex6/06.02.03-Metaverse Testing Data_y.csv: -------------------------------------------------------------------------------- 1 | id,Preferred Metaverse Type 2 | 1,3 3 | 2,0 4 | 3,3 5 | 4,3 6 | 5,1 7 | 6,3 8 | 7,1 9 | 8,3 10 | 9,0 11 | 10,0 12 | 11,3 13 | 12,0 14 | 13,1 15 | 14,0 16 | 15,0 17 | 16,1 18 | 17,3 19 | 18,1 20 | 19,3 21 | 20,2 22 | 21,0 23 | 22,1 24 | 23,1 25 | 24,1 26 | 25,1 27 | 26,2 28 | 27,3 29 | 28,2 30 | 29,2 31 | 30,1 32 | 31,2 33 | 32,0 34 | 33,0 35 | 34,2 36 | 35,2 37 | 36,3 38 | 37,2 39 | 38,0 40 | 39,0 41 | 40,3 42 | 41,0 43 | 42,0 44 | 43,3 45 | 44,2 46 | 45,0 47 | 46,2 48 | 47,2 49 | 48,0 50 | 49,2 51 | 50,3 52 | 51,2 53 | 52,2 54 | 53,0 55 | 54,3 56 | 55,0 57 | 56,2 58 | 57,2 59 | 58,2 60 | 59,2 61 | 60,2 62 | 61,0 63 | 62,0 64 | 63,2 65 | 64,0 66 | 65,3 67 | 66,2 68 | 67,1 69 | 68,2 70 | 69,0 71 | 70,3 72 | 71,0 73 | 72,3 74 | 73,2 75 | 74,1 76 | 75,2 77 | 76,1 78 | 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247,3 249 | 248,1 250 | 249,0 251 | 250,0 252 | 251,0 253 | 252,3 254 | 253,1 255 | 254,3 256 | 255,3 257 | 256,1 258 | 257,3 259 | 258,0 260 | 259,0 261 | 260,3 262 | 261,2 263 | 262,3 264 | 263,1 265 | 264,3 266 | 265,0 267 | 266,1 268 | 267,1 269 | 268,0 270 | 269,3 271 | 270,2 272 | 271,0 273 | 272,3 274 | 273,0 275 | 274,3 276 | 275,3 277 | 276,2 278 | 277,1 279 | 278,1 280 | 279,3 281 | 280,0 282 | 281,0 283 | 282,1 284 | 283,0 285 | 284,3 286 | 285,0 287 | 286,3 288 | 287,3 289 | 288,3 290 | 289,2 291 | 290,0 292 | 291,3 293 | 292,3 294 | 293,1 295 | 294,0 296 | 295,3 297 | 296,0 298 | 297,0 299 | 298,3 300 | 299,1 301 | 300,1 302 | -------------------------------------------------------------------------------- /datasets/Part5/ex6/06.03.02-fish_weight_data.csv: -------------------------------------------------------------------------------- 1 | id,Length,Height,Width,FinSize,Weight 2 | 1,63.91,28.72,3.46,18.22,194.32 3 | 2,77.22,14.45,7.12,15.71,194.59 4 | 3,68.22,30.73,4.09,7.33,191.24 5 | 4,63.59,38.68,2.21,2.54,194.23 6 | 5,53.89,13.71,0.73,8.74,131.82 7 | 6,71.67,25.17,1.14,5.41,183.42 8 | 7,55.01,25.72,6.95,3.52,153.67 9 | 8,91.34,25.03,4.81,2.02,225.12 10 | 9,97.09,12.81,5.6,14.79,230.77 11 | 10,50.68,38.35,9.02,1.22,163.18 12 | 11,83.34,20.65,9.91,15.64,217.94 13 | 12,62.31,34.62,2.56,3.79,181.08 14 | 13,65.44,29.48,6.8,2.51,177.41 15 | 14,94.05,15.41,3,2.7,211.35 16 | 15,25.68,33.48,0.7,13.77,117.07 17 | 16,26.97,18.88,7.7,5.66,87.32 18 | 17,21.62,35.84,3.54,8.99,101.97 19 | 18,86.61,25.34,4.14,11.59,223.33 20 | 19,82.25,35.86,6.09,17.35,237.9 21 | 20,89.6,29.24,8.39,14.81,253.35 22 | 21,98.29,30.38,6.48,6.14,248.01 23 | 22,83.93,22.55,8.79,3.5,214.3 24 | 23,56.92,38.46,3.1,2.05,178.87 25 | 24,82.44,27.54,8.08,6.73,211.02 26 | 25,29.46,19.83,2.26,5.98,99.64 27 | 26,71.19,26.22,9.55,9.67,190.24 28 | 27,31.47,5.67,7.03,13.98,75.64 29 | 28,95.57,15.56,2.55,14.22,233.01 30 | 29,61.75,28.11,9.5,6.39,168.03 31 | 30,53.17,15.15,7.44,8.22,143.26 32 | 31,41.16,26.63,2.91,4.44,124.74 33 | 32,81.94,20.01,2.53,15.98,219.44 34 | 33,56.49,9.74,5.42,2.08,137.72 35 | 34,65.47,15.44,0.74,14.24,166.44 36 | 35,21.5,24.95,2.47,15.8,94.02 37 | 36,69.41,25.68,4.53,15.77,189.3 38 | 37,68.97,25.1,4.05,5.93,181.34 39 | 38,69.35,27.86,4.9,8.1,189.64 40 | 39,95.5,27.82,3.14,12.16,244.64 41 | 40,74.55,20.1,6.07,6.18,189.25 42 | 41,48.76,36.38,8.71,8.05,167.39 43 | 42,54.96,17.86,1.62,4.74,144.01 44 | 43,75.81,20.26,5.42,9.74,190.64 45 | 44,24.82,36.22,1.75,1.85,99.51 46 | 45,73.34,33.22,7.31,16.2,223.19 47 | 46,73.65,29.64,4.26,2.46,192.9 48 | 47,36.83,8.51,5.87,10.86,96.96 49 | 48,30.31,37.18,2.24,6.83,121.73 50 | 49,45.23,30,1.88,11.97,139.15 51 | 50,49.1,39.96,5.14,19.23,177.55 52 | 51,65.62,10.23,3.88,13.27,159.4 53 | 52,55.09,35.38,9.43,1.67,172.74 54 | 53,99.07,10.69,7.77,9.18,230.73 55 | 54,28.16,26.54,7.61,10.69,110.64 56 | 55,36.71,9.33,9.09,11.19,107.81 57 | 56,32.9,34.68,1.29,13.95,134.11 58 | 57,72.25,33.26,5.75,6.27,203.46 59 | 58,40.26,24.92,6.05,3.45,125.18 60 | 59,57.3,19.25,9.64,8.46,155.8 61 | 60,39.55,7.42,3.28,19.17,109.07 62 | 61,32.72,29.41,2.79,4.56,114.17 63 | 62,28.83,20.87,1.45,18.18,102.23 64 | 63,72.51,30.27,0.66,11.33,203.49 65 | 64,31.05,35.32,9.33,9.68,124.46 66 | 65,35.73,39.14,6.86,17.76,155.57 67 | 66,49.5,34.95,7.96,9.71,163.87 68 | 67,85.68,5.41,3.18,14.76,196.07 69 | 68,27.77,17.6,6.07,8.58,96.02 70 | 69,87.04,30.55,1.11,18.18,241.86 71 | 70,27.69,11.01,5.11,14.11,80.71 72 | 71,98.12,23.24,9.79,14.29,249.25 73 | 72,57.49,6.9,8.83,7.23,141.38 74 | 73,98.14,12,3.71,15.38,223.02 75 | 74,68.39,5.65,9.63,13.09,165.1 76 | 75,79.14,32.78,2.7,5.56,203.08 77 | 76,23.14,12.84,9.52,4.05,69.24 78 | 77,42.62,17.09,9.44,16.13,131.92 79 | 78,29.62,37.48,8.09,19.22,130.44 80 | 79,43.69,29.65,6.49,9.7,139.87 81 | 80,29.5,6.11,8.81,12.23,77.44 82 | 81,45.44,10.76,3.28,17.3,134.2 83 | 82,53.14,26.75,8.56,9.69,161.2 84 | 83,25.13,25.2,6.37,19.09,113.17 85 | 84,75.4,13.33,0.63,11.94,181.94 86 | 85,65.33,37.7,3.8,16.59,203.93 87 | 86,41.23,26.49,1.91,18.27,133.34 88 | 87,61.86,23.75,9.83,16.49,179.29 89 | 88,27.52,25.65,5.04,4.03,96.26 90 | 89,66.08,30.55,5.23,12.95,197.84 91 | 90,94.34,15.92,6.57,8.57,230.12 92 | 91,45.49,18.94,4,2.19,130.91 93 | 92,73.39,12.34,1.8,9.06,179.51 94 | 93,30.54,11.52,8.31,5.91,85.43 95 | 94,77.31,38.05,2.3,17.13,224.4 96 | 95,43.15,30.88,5.36,1.63,140.76 97 | 96,34.66,22.17,2.63,19.22,124.89 98 | 97,66.92,12.96,1.43,7.75,152.9 99 | 98,21.61,13.9,8.69,7.78,77.97 100 | 99,86.32,7.03,9.74,1.31,193.44 101 | 100,20.38,20.2,9.63,4.52,80.69 102 | -------------------------------------------------------------------------------- /datasets/Part5/ex7/07.01.02-fish_weight_data.csv: -------------------------------------------------------------------------------- 1 | id,Length,Height,Width,FinSize,Weight 2 | 1,63.91,28.72,3.46,18.22,194.32 3 | 2,77.22,14.45,7.12,15.71,194.59 4 | 3,68.22,30.73,4.09,7.33,191.24 5 | 4,63.59,38.68,2.21,2.54,194.23 6 | 5,53.89,13.71,0.73,8.74,131.82 7 | 6,71.67,25.17,1.14,5.41,183.42 8 | 7,55.01,25.72,6.95,3.52,153.67 9 | 8,91.34,25.03,4.81,2.02,225.12 10 | 9,97.09,12.81,5.6,14.79,230.77 11 | 10,50.68,38.35,9.02,1.22,163.18 12 | 11,83.34,20.65,9.91,15.64,217.94 13 | 12,62.31,34.62,2.56,3.79,181.08 14 | 13,65.44,29.48,6.8,2.51,177.41 15 | 14,94.05,15.41,3,2.7,211.35 16 | 15,25.68,33.48,0.7,13.77,117.07 17 | 16,26.97,18.88,7.7,5.66,87.32 18 | 17,21.62,35.84,3.54,8.99,101.97 19 | 18,86.61,25.34,4.14,11.59,223.33 20 | 19,82.25,35.86,6.09,17.35,237.9 21 | 20,89.6,29.24,8.39,14.81,253.35 22 | 21,98.29,30.38,6.48,6.14,248.01 23 | 22,83.93,22.55,8.79,3.5,214.3 24 | 23,56.92,38.46,3.1,2.05,178.87 25 | 24,82.44,27.54,8.08,6.73,211.02 26 | 25,29.46,19.83,2.26,5.98,99.64 27 | 26,71.19,26.22,9.55,9.67,190.24 28 | 27,31.47,5.67,7.03,13.98,75.64 29 | 28,95.57,15.56,2.55,14.22,233.01 30 | 29,61.75,28.11,9.5,6.39,168.03 31 | 30,53.17,15.15,7.44,8.22,143.26 32 | 31,41.16,26.63,2.91,4.44,124.74 33 | 32,81.94,20.01,2.53,15.98,219.44 34 | 33,56.49,9.74,5.42,2.08,137.72 35 | 34,65.47,15.44,0.74,14.24,166.44 36 | 35,21.5,24.95,2.47,15.8,94.02 37 | 36,69.41,25.68,4.53,15.77,189.3 38 | 37,68.97,25.1,4.05,5.93,181.34 39 | 38,69.35,27.86,4.9,8.1,189.64 40 | 39,95.5,27.82,3.14,12.16,244.64 41 | 40,74.55,20.1,6.07,6.18,189.25 42 | 41,48.76,36.38,8.71,8.05,167.39 43 | 42,54.96,17.86,1.62,4.74,144.01 44 | 43,75.81,20.26,5.42,9.74,190.64 45 | 44,24.82,36.22,1.75,1.85,99.51 46 | 45,73.34,33.22,7.31,16.2,223.19 47 | 46,73.65,29.64,4.26,2.46,192.9 48 | 47,36.83,8.51,5.87,10.86,96.96 49 | 48,30.31,37.18,2.24,6.83,121.73 50 | 49,45.23,30,1.88,11.97,139.15 51 | 50,49.1,39.96,5.14,19.23,177.55 52 | 51,65.62,10.23,3.88,13.27,159.4 53 | 52,55.09,35.38,9.43,1.67,172.74 54 | 53,99.07,10.69,7.77,9.18,230.73 55 | 54,28.16,26.54,7.61,10.69,110.64 56 | 55,36.71,9.33,9.09,11.19,107.81 57 | 56,32.9,34.68,1.29,13.95,134.11 58 | 57,72.25,33.26,5.75,6.27,203.46 59 | 58,40.26,24.92,6.05,3.45,125.18 60 | 59,57.3,19.25,9.64,8.46,155.8 61 | 60,39.55,7.42,3.28,19.17,109.07 62 | 61,32.72,29.41,2.79,4.56,114.17 63 | 62,28.83,20.87,1.45,18.18,102.23 64 | 63,72.51,30.27,0.66,11.33,203.49 65 | 64,31.05,35.32,9.33,9.68,124.46 66 | 65,35.73,39.14,6.86,17.76,155.57 67 | 66,49.5,34.95,7.96,9.71,163.87 68 | 67,85.68,5.41,3.18,14.76,196.07 69 | 68,27.77,17.6,6.07,8.58,96.02 70 | 69,87.04,30.55,1.11,18.18,241.86 71 | 70,27.69,11.01,5.11,14.11,80.71 72 | 71,98.12,23.24,9.79,14.29,249.25 73 | 72,57.49,6.9,8.83,7.23,141.38 74 | 73,98.14,12,3.71,15.38,223.02 75 | 74,68.39,5.65,9.63,13.09,165.1 76 | 75,79.14,32.78,2.7,5.56,203.08 77 | 76,23.14,12.84,9.52,4.05,69.24 78 | 77,42.62,17.09,9.44,16.13,131.92 79 | 78,29.62,37.48,8.09,19.22,130.44 80 | 79,43.69,29.65,6.49,9.7,139.87 81 | 80,29.5,6.11,8.81,12.23,77.44 82 | 81,45.44,10.76,3.28,17.3,134.2 83 | 82,53.14,26.75,8.56,9.69,161.2 84 | 83,25.13,25.2,6.37,19.09,113.17 85 | 84,75.4,13.33,0.63,11.94,181.94 86 | 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167.0,77.8,262.0,Male 157 | 157.2,53.3,245.0,Female 158 | 157.6,30.6,247.0,Female 159 | 162.6,53.2,227.0,Female 160 | 177.5,73.8,263.0,Male 161 | 158.7,47.6,238.0,Female 162 | 164.1,74.2,256.0,Male 163 | 176.7,55.9,261.0,Male 164 | 159.3,41.7,241.0,Female 165 | 172.3,52.6,250.0,Male 166 | 163.6,62.2,238.0,Female 167 | 162.4,56.8,244.0,Female 168 | 184.0,54.9,280.0,Male 169 | 172.3,67.8,265.0,Male 170 | 157.7,45.2,242.0,Female 171 | 186.7,69.4,270.0,Male 172 | 155.9,54.1,246.0,Female 173 | 172.4,65.5,276.0,Male 174 | 154.5,57.0,250.0,Female 175 | 184.5,69.1,291.0,Male 176 | 166.2,47.0,225.0,Female 177 | 172.9,80.3,269.0,Male 178 | 156.4,67.4,243.0,Female 179 | 158.8,73.2,278.0,Male 180 | 176.6,74.5,269.0,Male 181 | 165.8,66.3,256.0,Male 182 | 154.4,44.9,245.0,Female 183 | 175.7,65.5,260.0,Male 184 | 159.9,63.6,216.0,Female 185 | 177.6,64.5,242.0,Male 186 | 148.3,47.7,243.0,Female 187 | 177.8,60.6,285.0,Male 188 | 185.0,74.0,261.0,Male 189 | 182.9,77.6,283.0,Male 190 | 170.4,41.7,302.0,Male 191 | 163.7,69.6,306.0,Male 192 | 162.0,62.6,222.0,Female 193 | 162.6,64.7,286.0,Male 194 | 172.6,62.1,273.0,Male 195 | 166.5,43.4,225.0,Female 196 | 169.5,80.9,274.0,Male 197 | 189.9,79.4,269.0,Male 198 | 183.9,72.1,259.0,Male 199 | 164.1,49.4,237.0,Female 200 | 184.3,69.0,258.0,Male 201 | 171.7,80.2,262.0,Male 202 | 157.7,50.9,242.0,Female 203 | 172.3,54.0,257.0,Male 204 | 154.4,64.9,250.0,Female 205 | 179.1,64.9,258.0,Male 206 | 171.4,59.5,307.0,Male 207 | 146.5,59.5,225.0,Female 208 | 159.4,47.1,226.0,Female 209 | 167.0,87.5,268.0,Male 210 | 169.6,75.6,270.0,Male 211 | 180.0,51.8,275.0,Male 212 | 164.6,41.7,245.0,Female 213 | 170.2,54.9,250.0,Female 214 | 179.7,62.9,271.0,Male 215 | 164.0,65.5,274.0,Male 216 | 180.1,70.2,281.0,Male 217 | 167.3,69.0,270.0,Male 218 | 187.9,67.9,263.0,Male 219 | 160.1,47.6,242.0,Female 220 | 172.4,52.1,269.0,Male 221 | 158.1,41.9,239.0,Female 222 | 185.4,75.2,279.0,Male 223 | 165.6,74.8,272.0,Male 224 | 178.7,74.2,250.0,Male 225 | 159.8,48.9,239.0,Female 226 | 154.6,65.5,230.0,Female 227 | 154.6,55.6,227.0,Female 228 | 172.0,61.7,291.0,Male 229 | 180.5,69.4,264.0,Male 230 | 165.6,58.2,246.0,Female 231 | 159.8,41.5,239.0,Female 232 | 156.8,60.2,252.0,Female 233 | 156.1,58.7,261.0,Female 234 | 170.3,86.8,257.0,Male 235 | 175.2,69.9,270.0,Male 236 | 169.1,64.1,260.0,Male 237 | 162.0,57.6,267.0,Female 238 | 168.2,50.9,244.0,Female 239 | 182.0,70.3,269.0,Male 240 | 160.3,61.9,230.0,Female 241 | 172.7,74.7,275.0,Male 242 | 176.7,66.3,285.0,Male 243 | 172.8,58.3,238.0,Female 244 | 180.3,64.6,259.0,Male 245 | 160.2,34.3,226.0,Female 246 | 157.9,44.2,228.0,Female 247 | 157.4,41.9,235.0,Female 248 | 156.8,55.2,254.0,Female 249 | 176.2,70.2,271.0,Male 250 | 176.6,59.8,268.0,Male 251 | 177.2,56.3,283.0,Male 252 | 166.5,49.9,237.0,Female 253 | 154.7,60.6,227.0,Female 254 | 158.7,48.1,241.0,Female 255 | 162.4,83.3,256.0,Male 256 | 160.4,53.3,231.0,Female 257 | 154.7,62.5,234.0,Female 258 | 161.6,48.6,232.0,Female 259 | 162.8,62.4,238.0,Female 260 | 165.0,90.0,257.0,Male 261 | 164.2,95.9,264.0,Male 262 | 151.2,49.5,244.0,Female 263 | 161.1,48.2,262.0,Female 264 | 171.3,58.2,284.0,Male 265 | 184.3,61.8,249.0,Male 266 | 182.2,49.5,252.0,Male 267 | 165.8,54.6,237.0,Female 268 | 162.1,53.8,224.0,Female 269 | 183.9,83.3,273.0,Male 270 | 160.3,73.7,237.0,Female 271 | 158.4,57.9,258.0,Female 272 | 169.6,52.9,244.0,Female 273 | 151.7,52.5,230.0,Female 274 | 154.0,68.5,230.0,Female 275 | 171.3,73.7,289.0,Male 276 | 178.4,97.6,269.0,Male 277 | 176.8,72.8,292.0,Male 278 | 163.0,54.1,229.0,Female 279 | 176.7,84.0,264.0,Male 280 | 163.2,57.0,250.0,Female 281 | 169.4,93.5,251.0,Male 282 | 157.8,62.5,244.0,Female 283 | 165.0,51.0,239.0,Female 284 | 175.1,85.7,280.0,Male 285 | 180.6,63.4,285.0,Male 286 | 176.6,83.9,300.0,Male 287 | 158.2,51.7,230.0,Female 288 | 174.0,66.2,275.0,Male 289 | 174.0,66.4,286.0,Male 290 | 154.4,58.5,235.0,Female 291 | 164.3,66.1,236.0,Female 292 | 162.6,56.4,230.0,Female 293 | 161.4,57.3,245.0,Female 294 | 173.6,70.9,253.0,Male 295 | 157.9,59.4,251.0,Female 296 | 172.0,71.0,273.0,Male 297 | 176.4,75.4,243.0,Male 298 | 174.7,72.4,255.0,Male 299 | 186.7,71.6,293.0,Male 300 | 155.3,47.7,243.0,Female 301 | 149.9,56.7,241.0,Female 302 | -------------------------------------------------------------------------------- /datasets/Part5/iris.csv: -------------------------------------------------------------------------------- 1 | sepal_length,sepal_width,petal_length,petal_width,species 2 | 5.1,3.5,1.4,0.2,setosa 3 | 4.9,3.0,1.4,0.2,setosa 4 | 4.7,3.2,1.3,0.2,setosa 5 | 4.6,3.1,1.5,0.2,setosa 6 | 5.0,3.6,1.4,0.2,setosa 7 | 5.4,3.9,1.7,0.4,setosa 8 | 4.6,3.4,1.4,0.3,setosa 9 | 5.0,3.4,1.5,0.2,setosa 10 | 4.4,2.9,1.4,0.2,setosa 11 | 4.9,3.1,1.5,0.1,setosa 12 | 5.4,3.7,1.5,0.2,setosa 13 | 4.8,3.4,1.6,0.2,setosa 14 | 4.8,3.0,1.4,0.1,setosa 15 | 4.3,3.0,1.1,0.1,setosa 16 | 5.8,4.0,1.2,0.2,setosa 17 | 5.7,4.4,1.5,0.4,setosa 18 | 5.4,3.9,1.3,0.4,setosa 19 | 5.1,3.5,1.4,0.3,setosa 20 | 5.7,3.8,1.7,0.3,setosa 21 | 5.1,3.8,1.5,0.3,setosa 22 | 5.4,3.4,1.7,0.2,setosa 23 | 5.1,3.7,1.5,0.4,setosa 24 | 4.6,3.6,1.0,0.2,setosa 25 | 5.1,3.3,1.7,0.5,setosa 26 | 4.8,3.4,1.9,0.2,setosa 27 | 5.0,3.0,1.6,0.2,setosa 28 | 5.0,3.4,1.6,0.4,setosa 29 | 5.2,3.5,1.5,0.2,setosa 30 | 5.2,3.4,1.4,0.2,setosa 31 | 4.7,3.2,1.6,0.2,setosa 32 | 4.8,3.1,1.6,0.2,setosa 33 | 5.4,3.4,1.5,0.4,setosa 34 | 5.2,4.1,1.5,0.1,setosa 35 | 5.5,4.2,1.4,0.2,setosa 36 | 4.9,3.1,1.5,0.2,setosa 37 | 5.0,3.2,1.2,0.2,setosa 38 | 5.5,3.5,1.3,0.2,setosa 39 | 4.9,3.6,1.4,0.1,setosa 40 | 4.4,3.0,1.3,0.2,setosa 41 | 5.1,3.4,1.5,0.2,setosa 42 | 5.0,3.5,1.3,0.3,setosa 43 | 4.5,2.3,1.3,0.3,setosa 44 | 4.4,3.2,1.3,0.2,setosa 45 | 5.0,3.5,1.6,0.6,setosa 46 | 5.1,3.8,1.9,0.4,setosa 47 | 4.8,3.0,1.4,0.3,setosa 48 | 5.1,3.8,1.6,0.2,setosa 49 | 4.6,3.2,1.4,0.2,setosa 50 | 5.3,3.7,1.5,0.2,setosa 51 | 5.0,3.3,1.4,0.2,setosa 52 | 7.0,3.2,4.7,1.4,versicolor 53 | 6.4,3.2,4.5,1.5,versicolor 54 | 6.9,3.1,4.9,1.5,versicolor 55 | 5.5,2.3,4.0,1.3,versicolor 56 | 6.5,2.8,4.6,1.5,versicolor 57 | 5.7,2.8,4.5,1.3,versicolor 58 | 6.3,3.3,4.7,1.6,versicolor 59 | 4.9,2.4,3.3,1.0,versicolor 60 | 6.6,2.9,4.6,1.3,versicolor 61 | 5.2,2.7,3.9,1.4,versicolor 62 | 5.0,2.0,3.5,1.0,versicolor 63 | 5.9,3.0,4.2,1.5,versicolor 64 | 6.0,2.2,4.0,1.0,versicolor 65 | 6.1,2.9,4.7,1.4,versicolor 66 | 5.6,2.9,3.6,1.3,versicolor 67 | 6.7,3.1,4.4,1.4,versicolor 68 | 5.6,3.0,4.5,1.5,versicolor 69 | 5.8,2.7,4.1,1.0,versicolor 70 | 6.2,2.2,4.5,1.5,versicolor 71 | 5.6,2.5,3.9,1.1,versicolor 72 | 5.9,3.2,4.8,1.8,versicolor 73 | 6.1,2.8,4.0,1.3,versicolor 74 | 6.3,2.5,4.9,1.5,versicolor 75 | 6.1,2.8,4.7,1.2,versicolor 76 | 6.4,2.9,4.3,1.3,versicolor 77 | 6.6,3.0,4.4,1.4,versicolor 78 | 6.8,2.8,4.8,1.4,versicolor 79 | 6.7,3.0,5.0,1.7,versicolor 80 | 6.0,2.9,4.5,1.5,versicolor 81 | 5.7,2.6,3.5,1.0,versicolor 82 | 5.5,2.4,3.8,1.1,versicolor 83 | 5.5,2.4,3.7,1.0,versicolor 84 | 5.8,2.7,3.9,1.2,versicolor 85 | 6.0,2.7,5.1,1.6,versicolor 86 | 5.4,3.0,4.5,1.5,versicolor 87 | 6.0,3.4,4.5,1.6,versicolor 88 | 6.7,3.1,4.7,1.5,versicolor 89 | 6.3,2.3,4.4,1.3,versicolor 90 | 5.6,3.0,4.1,1.3,versicolor 91 | 5.5,2.5,4.0,1.3,versicolor 92 | 5.5,2.6,4.4,1.2,versicolor 93 | 6.1,3.0,4.6,1.4,versicolor 94 | 5.8,2.6,4.0,1.2,versicolor 95 | 5.0,2.3,3.3,1.0,versicolor 96 | 5.6,2.7,4.2,1.3,versicolor 97 | 5.7,3.0,4.2,1.2,versicolor 98 | 5.7,2.9,4.2,1.3,versicolor 99 | 6.2,2.9,4.3,1.3,versicolor 100 | 5.1,2.5,3.0,1.1,versicolor 101 | 5.7,2.8,4.1,1.3,versicolor 102 | 6.3,3.3,6.0,2.5,virginica 103 | 5.8,2.7,5.1,1.9,virginica 104 | 7.1,3.0,5.9,2.1,virginica 105 | 6.3,2.9,5.6,1.8,virginica 106 | 6.5,3.0,5.8,2.2,virginica 107 | 7.6,3.0,6.6,2.1,virginica 108 | 4.9,2.5,4.5,1.7,virginica 109 | 7.3,2.9,6.3,1.8,virginica 110 | 6.7,2.5,5.8,1.8,virginica 111 | 7.2,3.6,6.1,2.5,virginica 112 | 6.5,3.2,5.1,2.0,virginica 113 | 6.4,2.7,5.3,1.9,virginica 114 | 6.8,3.0,5.5,2.1,virginica 115 | 5.7,2.5,5.0,2.0,virginica 116 | 5.8,2.8,5.1,2.4,virginica 117 | 6.4,3.2,5.3,2.3,virginica 118 | 6.5,3.0,5.5,1.8,virginica 119 | 7.7,3.8,6.7,2.2,virginica 120 | 7.7,2.6,6.9,2.3,virginica 121 | 6.0,2.2,5.0,1.5,virginica 122 | 6.9,3.2,5.7,2.3,virginica 123 | 5.6,2.8,4.9,2.0,virginica 124 | 7.7,2.8,6.7,2.0,virginica 125 | 6.3,2.7,4.9,1.8,virginica 126 | 6.7,3.3,5.7,2.1,virginica 127 | 7.2,3.2,6.0,1.8,virginica 128 | 6.2,2.8,4.8,1.8,virginica 129 | 6.1,3.0,4.9,1.8,virginica 130 | 6.4,2.8,5.6,2.1,virginica 131 | 7.2,3.0,5.8,1.6,virginica 132 | 7.4,2.8,6.1,1.9,virginica 133 | 7.9,3.8,6.4,2.0,virginica 134 | 6.4,2.8,5.6,2.2,virginica 135 | 6.3,2.8,5.1,1.5,virginica 136 | 6.1,2.6,5.6,1.4,virginica 137 | 7.7,3.0,6.1,2.3,virginica 138 | 6.3,3.4,5.6,2.4,virginica 139 | 6.4,3.1,5.5,1.8,virginica 140 | 6.0,3.0,4.8,1.8,virginica 141 | 6.9,3.1,5.4,2.1,virginica 142 | 6.7,3.1,5.6,2.4,virginica 143 | 6.9,3.1,5.1,2.3,virginica 144 | 5.8,2.7,5.1,1.9,virginica 145 | 6.8,3.2,5.9,2.3,virginica 146 | 6.7,3.3,5.7,2.5,virginica 147 | 6.7,3.0,5.2,2.3,virginica 148 | 6.3,2.5,5.0,1.9,virginica 149 | 6.5,3.0,5.2,2.0,virginica 150 | 6.2,3.4,5.4,2.3,virginica 151 | 5.9,3.0,5.1,1.8,virginica 152 | -------------------------------------------------------------------------------- /datasets/Part5/mpg_X_test.csv: -------------------------------------------------------------------------------- 1 | name,mpg,cylinders,displacement,horsepower,weight,acceleration,model_year 2 | maxda glc deluxe,34.1,4,86.0,65.0,1975,15.2,79 3 | plymouth sapporo,23.2,4,156.0,105.0,2745,16.7,78 4 | dodge coronet brougham,16.0,8,318.0,150.0,4190,13.0,76 5 | amc concord dl 6,20.2,6,232.0,90.0,3265,18.2,79 6 | fiat strada custom,37.3,4,91.0,69.0,2130,14.7,79 7 | toyota corona,25.0,4,113.0,95.0,2228,14.0,71 8 | mazda 626,31.3,4,120.0,75.0,2542,17.5,80 9 | toyota corolla 1600 (sw),27.0,4,97.0,88.0,2100,16.5,72 10 | ford pinto (sw),22.0,4,122.0,86.0,2395,16.0,72 11 | datsun 200-sx,23.9,4,119.0,97.0,2405,14.9,78 12 | pontiac phoenix lj,19.2,6,231.0,105.0,3535,19.2,78 13 | mazda rx-7 gs,23.7,3,70.0,100.0,2420,12.5,80 14 | plymouth satellite,18.0,8,318.0,150.0,3436,11.0,70 15 | saab 99gle,21.6,4,121.0,115.0,2795,15.7,78 16 | volkswagen model 111,27.0,4,97.0,60.0,1834,19.0,71 17 | fiat 128,24.0,4,90.0,75.0,2108,15.5,74 18 | plymouth fury iii,15.0,8,318.0,150.0,4135,13.5,72 19 | dodge magnum xe,17.5,8,318.0,140.0,4080,13.7,78 20 | toyouta corona mark ii (sw),23.0,4,120.0,97.0,2506,14.5,72 21 | hi 1200d,9.0,8,304.0,193.0,4732,18.5,70 22 | ford mustang ii,13.0,8,302.0,129.0,3169,12.0,75 23 | mercury zephyr 6,19.8,6,200.0,85.0,2990,18.2,79 24 | buick lesabre custom,13.0,8,350.0,155.0,4502,13.5,72 25 | buick estate wagon (sw),14.0,8,455.0,225.0,3086,10.0,70 26 | oldsmobile delta 88 royale,12.0,8,350.0,160.0,4456,13.5,72 27 | datsun 710,24.0,4,119.0,97.0,2545,17.0,75 28 | datsun 210,31.8,4,85.0,65.0,2020,19.2,79 29 | ford gran torino,14.0,8,302.0,137.0,4042,14.5,73 30 | ford country squire (sw),15.5,8,351.0,142.0,4054,14.3,79 31 | chevrolet vega (sw),22.0,4,140.0,72.0,2408,19.0,71 32 | ford escort 4w,34.4,4,98.0,65.0,2045,16.2,81 33 | saab 99le,25.0,4,121.0,115.0,2671,13.5,75 34 | plymouth horizon,34.2,4,105.0,70.0,2200,13.2,79 35 | chevrolet cavalier wagon,27.0,4,112.0,88.0,2640,18.6,82 36 | amc matador,18.0,6,232.0,100.0,3288,15.5,71 37 | toyota corona liftback,29.8,4,134.0,90.0,2711,15.5,80 38 | toyota cressida,25.4,6,168.0,116.0,2900,12.6,81 39 | amc pacer,19.0,6,232.0,90.0,3211,17.0,75 40 | honda accord cvcc,31.5,4,98.0,68.0,2045,18.5,77 41 | dodge colt,27.9,4,156.0,105.0,2800,14.4,80 42 | ford galaxie 500,14.0,8,351.0,153.0,4129,13.0,72 43 | honda civic,33.0,4,91.0,53.0,1795,17.4,76 44 | vw rabbit c (diesel),44.3,4,90.0,48.0,2085,21.7,80 45 | ford pinto,19.0,4,122.0,85.0,2310,18.5,73 46 | vokswagen rabbit,29.8,4,89.0,62.0,1845,15.3,80 47 | chevrolet vega,25.0,4,140.0,75.0,2542,17.0,74 48 | peugeot 504,25.0,4,110.0,87.0,2672,17.5,70 49 | ford country,12.0,8,400.0,167.0,4906,12.5,73 50 | datsun 510 hatchback,37.0,4,119.0,92.0,2434,15.0,80 51 | ford maverick,15.0,6,250.0,72.0,3158,19.5,75 52 | mercury lynx l,36.0,4,98.0,70.0,2125,17.3,82 53 | honda civic 1300,35.1,4,81.0,60.0,1760,16.1,81 54 | plymouth satellite custom,16.0,6,225.0,105.0,3439,15.5,71 55 | volkswagen rabbit l,36.0,4,105.0,74.0,1980,15.3,82 56 | dodge coronet custom,15.0,8,318.0,150.0,3777,12.5,73 57 | chevrolet caprice classic,17.5,8,305.0,145.0,3880,12.5,77 58 | chevrolet nova custom,16.0,6,250.0,100.0,3278,18.0,73 59 | toyota mark ii,20.0,6,156.0,122.0,2807,13.5,73 60 | amc hornet,22.5,6,232.0,90.0,3085,17.6,76 61 | volkswagen dasher,30.5,4,97.0,78.0,2190,14.1,77 62 | chevrolet camaro,27.0,4,151.0,90.0,2950,17.3,82 63 | amc concord dl,23.0,4,151.0,,3035,20.5,82 64 | ford torino,17.0,8,302.0,140.0,3449,10.5,70 65 | plymouth volare custom,19.0,6,225.0,100.0,3630,17.7,77 66 | ford mustang gl,27.0,4,140.0,86.0,2790,15.6,82 67 | plymouth valiant custom,19.0,6,225.0,95.0,3264,16.0,75 68 | ford futura,18.1,8,302.0,139.0,3205,11.2,78 69 | datsun pl510,27.0,4,97.0,88.0,2130,14.5,70 70 | amc spirit dl,27.4,4,121.0,80.0,2670,15.0,79 71 | plymouth champ,39.0,4,86.0,64.0,1875,16.4,81 72 | buick century limited,25.0,6,181.0,110.0,2945,16.4,82 73 | ford gran torino (sw),14.0,8,302.0,140.0,4638,16.0,74 74 | oldsmobile omega brougham,26.8,6,173.0,115.0,2700,12.9,79 75 | datsun b210,31.0,4,79.0,67.0,1950,19.0,74 76 | dodge coronet custom (sw),14.0,8,318.0,150.0,4457,13.5,74 77 | chevrolet cavalier 2-door,34.0,4,112.0,88.0,2395,18.0,82 78 | ford gran torino,14.5,8,351.0,152.0,4215,12.8,76 79 | fiat 124 sport coupe,26.0,4,98.0,90.0,2265,15.5,73 80 | toyota corona mark ii,24.0,4,113.0,95.0,2372,15.0,70 81 | pontiac grand prix lj,16.0,8,400.0,180.0,4220,11.1,77 82 | plymouth fury,18.0,6,225.0,95.0,3785,19.0,75 83 | dodge monaco brougham,15.5,8,318.0,145.0,4140,13.7,77 84 | mazda glc 4,34.1,4,91.0,68.0,1985,16.0,81 85 | chevrolet caprice classic,17.0,8,305.0,130.0,3840,15.4,79 86 | ford f250,10.0,8,360.0,215.0,4615,14.0,70 87 | amc gremlin,20.0,6,232.0,100.0,2914,16.0,75 88 | saab 99le,24.0,4,121.0,110.0,2660,14.0,73 89 | renault 18i,34.5,4,100.0,,2320,15.8,81 90 | vw pickup,44.0,4,97.0,52.0,2130,24.6,82 91 | amc matador (sw),14.0,8,304.0,150.0,4257,15.5,74 92 | chevrolet chevelle malibu,17.0,6,250.0,100.0,3329,15.5,71 93 | dodge challenger se,15.0,8,383.0,170.0,3563,10.0,70 94 | plymouth satellite custom (sw),14.0,8,318.0,150.0,4077,14.0,72 95 | dodge dart custom,15.0,8,318.0,150.0,3399,11.0,73 96 | ford torino 500,19.0,6,250.0,88.0,3302,15.5,71 97 | plymouth valiant,22.0,6,225.0,100.0,3233,15.4,76 98 | mazda glc custom,31.0,4,91.0,68.0,1970,17.6,82 99 | ford granada,18.5,6,250.0,98.0,3525,19.0,77 100 | amc ambassador dpl,15.0,8,390.0,190.0,3850,8.5,70 101 | plymouth duster,23.0,6,198.0,95.0,2904,16.0,73 102 | amc gremlin,21.0,6,199.0,90.0,2648,15.0,70 103 | buick skylark 320,15.0,8,350.0,165.0,3693,11.5,70 104 | chevrolet impala,14.0,8,350.0,165.0,4209,12.0,71 105 | dodge diplomat,19.4,8,318.0,140.0,3735,13.2,78 106 | ford mustang,18.0,6,250.0,88.0,3139,14.5,71 107 | vw dasher (diesel),43.4,4,90.0,48.0,2335,23.7,80 108 | plymouth arrow gs,25.5,4,122.0,96.0,2300,15.5,77 109 | dodge aries se,29.0,4,135.0,84.0,2525,16.0,82 110 | audi 5000s (diesel),36.4,5,121.0,67.0,2950,19.9,80 111 | oldsmobile omega,11.0,8,350.0,180.0,3664,11.0,73 112 | plymouth horizon 4,34.7,4,105.0,63.0,2215,14.9,81 113 | buick century,17.0,6,231.0,110.0,3907,21.0,75 114 | mazda rx2 coupe,19.0,3,70.0,97.0,2330,13.5,72 115 | chevrolet malibu classic (sw),19.2,8,267.0,125.0,3605,15.0,79 116 | oldsmobile cutlass supreme,17.0,8,260.0,110.0,4060,19.0,77 117 | datsun b210 gx,39.4,4,85.0,70.0,2070,18.6,78 118 | amc hornet,18.0,6,232.0,100.0,2945,16.0,73 119 | amc matador,16.0,6,258.0,110.0,3632,18.0,74 120 | chevy c10,13.0,8,350.0,145.0,4055,12.0,76 121 | toyota tercel,37.7,4,89.0,62.0,2050,17.3,81 122 | -------------------------------------------------------------------------------- /datasets/Part5/mpg_y_train.csv: -------------------------------------------------------------------------------- 1 | isUSA 2 | 1 3 | 1 4 | 0 5 | 1 6 | 0 7 | 1 8 | 0 9 | 1 10 | 1 11 | 0 12 | 1 13 | 0 14 | 1 15 | 0 16 | 0 17 | 1 18 | 0 19 | 1 20 | 1 21 | 1 22 | 1 23 | 0 24 | 1 25 | 1 26 | 0 27 | 1 28 | 1 29 | 1 30 | 1 31 | 0 32 | 1 33 | 0 34 | 1 35 | 0 36 | 1 37 | 1 38 | 1 39 | 1 40 | 1 41 | 1 42 | 0 43 | 1 44 | 0 45 | 1 46 | 0 47 | 1 48 | 1 49 | 0 50 | 1 51 | 1 52 | 1 53 | 0 54 | 1 55 | 0 56 | 0 57 | 0 58 | 1 59 | 0 60 | 0 61 | 0 62 | 0 63 | 1 64 | 1 65 | 0 66 | 1 67 | 1 68 | 1 69 | 1 70 | 0 71 | 0 72 | 0 73 | 1 74 | 1 75 | 0 76 | 1 77 | 1 78 | 1 79 | 1 80 | 1 81 | 0 82 | 1 83 | 1 84 | 1 85 | 0 86 | 0 87 | 1 88 | 1 89 | 1 90 | 1 91 | 1 92 | 0 93 | 1 94 | 1 95 | 1 96 | 1 97 | 0 98 | 1 99 | 0 100 | 0 101 | 0 102 | 1 103 | 1 104 | 0 105 | 0 106 | 1 107 | 1 108 | 1 109 | 1 110 | 1 111 | 0 112 | 1 113 | 1 114 | 1 115 | 1 116 | 1 117 | 1 118 | 0 119 | 0 120 | 1 121 | 1 122 | 1 123 | 1 124 | 0 125 | 1 126 | 0 127 | 1 128 | 0 129 | 1 130 | 1 131 | 1 132 | 1 133 | 0 134 | 0 135 | 1 136 | 1 137 | 1 138 | 0 139 | 1 140 | 0 141 | 0 142 | 0 143 | 1 144 | 1 145 | 1 146 | 1 147 | 1 148 | 0 149 | 1 150 | 0 151 | 0 152 | 1 153 | 0 154 | 0 155 | 1 156 | 0 157 | 1 158 | 1 159 | 1 160 | 1 161 | 0 162 | 1 163 | 0 164 | 1 165 | 1 166 | 0 167 | 1 168 | 1 169 | 1 170 | 1 171 | 0 172 | 1 173 | 0 174 | 1 175 | 1 176 | 1 177 | 0 178 | 1 179 | 1 180 | 1 181 | 0 182 | 1 183 | 0 184 | 0 185 | 0 186 | 1 187 | 1 188 | 0 189 | 0 190 | 1 191 | 1 192 | 1 193 | 0 194 | 0 195 | 0 196 | 1 197 | 0 198 | 1 199 | 0 200 | 0 201 | 0 202 | 0 203 | 1 204 | 0 205 | 0 206 | 1 207 | 0 208 | 1 209 | 0 210 | 0 211 | 1 212 | 0 213 | 0 214 | 1 215 | 1 216 | 1 217 | 1 218 | 0 219 | 1 220 | 1 221 | 1 222 | 1 223 | 1 224 | 1 225 | 1 226 | 0 227 | 1 228 | 0 229 | 1 230 | 1 231 | 1 232 | 1 233 | 1 234 | 0 235 | 0 236 | 1 237 | 0 238 | 1 239 | 1 240 | 1 241 | 0 242 | 1 243 | 0 244 | 1 245 | 1 246 | 1 247 | 1 248 | 1 249 | 1 250 | 0 251 | 0 252 | 1 253 | 0 254 | 1 255 | 0 256 | 1 257 | 1 258 | 0 259 | 0 260 | 1 261 | 1 262 | 1 263 | 0 264 | 0 265 | 0 266 | 1 267 | 1 268 | 0 269 | 0 270 | 0 271 | 1 272 | 0 273 | 0 274 | 1 275 | 0 276 | 0 277 | 1 278 | 1 279 | 1 280 | -------------------------------------------------------------------------------- /datasets/Part5/penguin_X_test.csv: -------------------------------------------------------------------------------- 1 | species,island,sex,bill_length_mm,bill_depth_mm,flipper_length_mm 2 | Adelie,Torgersen,MALE,42.1,19.1,195.0 3 | Gentoo,Biscoe,MALE,45.5,15.0,220.0 4 | Adelie,Biscoe,MALE,40.6,18.8,193.0 5 | Adelie,Dream,FEMALE,39.5,17.8,188.0 6 | Gentoo,Biscoe,FEMALE,45.1,14.5,207.0 7 | Adelie,Dream,MALE,37.5,18.5,199.0 8 | Adelie,Torgersen,FEMALE,35.9,16.6,190.0 9 | Adelie,Biscoe,FEMALE,39.6,20.7,191.0 10 | Chinstrap,Dream,FEMALE,46.0,18.9,195.0 11 | Adelie,Dream,FEMALE,40.2,17.1,193.0 12 | Adelie,Dream,FEMALE,36.0,18.5,186.0 13 | Gentoo,Biscoe,MALE,50.4,15.7,222.0 14 | Adelie,Biscoe,FEMALE,39.7,17.7,193.0 15 | Chinstrap,Dream,MALE,50.9,19.1,196.0 16 | Adelie,Torgersen,MALE,39.1,18.7,181.0 17 | Chinstrap,Dream,MALE,49.5,19.0,200.0 18 | Chinstrap,Dream,MALE,55.8,19.8,207.0 19 | Chinstrap,Dream,FEMALE,48.1,16.4,199.0 20 | Adelie,Dream,FEMALE,35.7,18.0,202.0 21 | Adelie,Torgersen,FEMALE,36.2,17.2,187.0 22 | Gentoo,Biscoe,MALE,46.8,16.1,215.0 23 | Adelie,Torgersen,MALE,41.8,19.4,198.0 24 | Gentoo,Biscoe,MALE,59.6,17.0,230.0 25 | Gentoo,Biscoe,FEMALE,42.6,13.7,213.0 26 | Gentoo,Biscoe,MALE,49.4,15.8,216.0 27 | Gentoo,Biscoe,MALE,50.5,15.9,222.0 28 | Gentoo,Biscoe,MALE,52.5,15.6,221.0 29 | Adelie,Torgersen,MALE,45.8,18.9,197.0 30 | Chinstrap,Dream,FEMALE,46.4,17.8,191.0 31 | Adelie,Dream,MALE,40.3,18.5,196.0 32 | Adelie,Dream,MALE,44.1,19.7,196.0 33 | Adelie,Dream,FEMALE,36.0,17.9,190.0 34 | Chinstrap,Dream,FEMALE,45.6,19.4,194.0 35 | Gentoo,Biscoe,FEMALE,44.0,13.6,208.0 36 | Adelie,Dream,FEMALE,36.6,18.4,184.0 37 | Adelie,Torgersen,FEMALE,39.0,17.1,191.0 38 | Adelie,Biscoe,FEMALE,36.5,16.6,181.0 39 | Adelie,Torgersen,FEMALE,41.1,17.6,182.0 40 | Chinstrap,Dream,MALE,51.5,18.7,187.0 41 | Gentoo,Biscoe,FEMALE,46.9,14.6,222.0 42 | Adelie,Dream,FEMALE,38.1,18.6,190.0 43 | Gentoo,Biscoe,MALE,51.1,16.5,225.0 44 | Gentoo,Biscoe,FEMALE,50.5,15.2,216.0 45 | Gentoo,Biscoe,FEMALE,42.9,13.1,215.0 46 | Gentoo,Biscoe,MALE,55.9,17.0,228.0 47 | Adelie,Dream,MALE,39.0,18.7,185.0 48 | Gentoo,Biscoe,FEMALE,45.7,13.9,214.0 49 | Adelie,Biscoe,FEMALE,37.7,16.0,183.0 50 | Gentoo,Biscoe,MALE,46.4,15.6,221.0 51 | Adelie,Biscoe,MALE,42.2,19.5,197.0 52 | Gentoo,Biscoe,FEMALE,40.9,13.7,214.0 53 | Gentoo,Biscoe,FEMALE,47.5,14.2,209.0 54 | Adelie,Biscoe,MALE,42.7,18.3,196.0 55 | Adelie,Biscoe,MALE,37.7,18.7,180.0 56 | Adelie,Dream,FEMALE,34.0,17.1,185.0 57 | Adelie,Torgersen,MALE,44.1,18.0,210.0 58 | Gentoo,Biscoe,FEMALE,43.5,14.2,220.0 59 | Gentoo,Biscoe,FEMALE,43.3,13.4,209.0 60 | Chinstrap,Dream,MALE,48.5,17.5,191.0 61 | Adelie,Torgersen,MALE,39.3,20.6,190.0 62 | Adelie,Dream,MALE,37.2,18.1,178.0 63 | Gentoo,Biscoe,FEMALE,46.4,15.0,216.0 64 | Chinstrap,Dream,FEMALE,47.0,17.3,185.0 65 | Gentoo,Biscoe,FEMALE,47.7,15.0,216.0 66 | Chinstrap,Dream,MALE,50.0,19.5,196.0 67 | Adelie,Torgersen,MALE,41.5,18.3,195.0 68 | Gentoo,Biscoe,MALE,48.8,16.2,222.0 69 | Chinstrap,Dream,FEMALE,42.5,16.7,187.0 70 | Gentoo,Biscoe,FEMALE,45.5,14.5,212.0 71 | Chinstrap,Dream,FEMALE,50.5,18.4,200.0 72 | Adelie,Biscoe,MALE,37.6,19.1,194.0 73 | Adelie,Biscoe,FEMALE,34.5,18.1,187.0 74 | Gentoo,Biscoe,FEMALE,45.8,14.6,210.0 75 | Adelie,Torgersen,FEMALE,40.2,17.0,176.0 76 | Gentoo,Biscoe,FEMALE,45.8,14.2,219.0 77 | Gentoo,Biscoe,FEMALE,43.3,14.0,208.0 78 | Gentoo,Biscoe,MALE,51.3,14.2,218.0 79 | Adelie,Dream,FEMALE,37.6,19.3,181.0 80 | Adelie,Torgersen,FEMALE,38.5,17.9,190.0 81 | Gentoo,Biscoe,FEMALE,47.4,14.6,212.0 82 | Adelie,Dream,FEMALE,38.9,18.8,190.0 83 | Gentoo,Biscoe,MALE,52.1,17.0,230.0 84 | Chinstrap,Dream,FEMALE,46.9,16.6,192.0 85 | Gentoo,Biscoe,FEMALE,46.8,14.3,215.0 86 | Gentoo,Biscoe,FEMALE,45.3,13.7,210.0 87 | Adelie,Dream,FEMALE,38.1,17.6,187.0 88 | Gentoo,Biscoe,MALE,50.0,16.3,230.0 89 | Adelie,Torgersen,MALE,41.4,18.5,202.0 90 | Adelie,Dream,MALE,40.7,17.0,190.0 91 | Gentoo,Biscoe,FEMALE,48.2,14.3,210.0 92 | Adelie,Dream,MALE,42.3,21.2,191.0 93 | Chinstrap,Dream,MALE,52.2,18.8,197.0 94 | Adelie,Dream,MALE,41.1,18.1,205.0 95 | Chinstrap,Dream,MALE,50.7,19.7,203.0 96 | Gentoo,Biscoe,MALE,50.0,15.3,220.0 97 | Adelie,Torgersen,MALE,37.3,20.5,199.0 98 | Gentoo,Biscoe,MALE,45.2,15.8,215.0 99 | Adelie,Torgersen,FEMALE,40.3,18.0,195.0 100 | Gentoo,Biscoe,FEMALE,46.5,14.5,213.0 101 | Gentoo,Biscoe,MALE,49.6,15.0,216.0 102 | Adelie,Torgersen,FEMALE,39.6,17.2,196.0 103 | -------------------------------------------------------------------------------- /datasets/Part5/penguin_X_train.csv: -------------------------------------------------------------------------------- 1 | species,island,sex,bill_length_mm,bill_depth_mm,flipper_length_mm 2 | Adelie,Torgersen,,42.0,20.2,190.0 3 | Gentoo,Biscoe,FEMALE,43.5,15.2,213.0 4 | Adelie,Torgersen,MALE,42.8,18.5,195.0 5 | Chinstrap,Dream,MALE,53.5,19.9,205.0 6 | Gentoo,Biscoe,MALE,50.2,14.3,218.0 7 | Adelie,Dream,FEMALE,36.5,18.0,182.0 8 | Gentoo,Biscoe,,44.5,14.3,216.0 9 | Gentoo,Biscoe,MALE,46.2,14.9,221.0 10 | Gentoo,Biscoe,FEMALE,46.5,13.5,210.0 11 | Adelie,Torgersen,FEMALE,33.5,19.0,190.0 12 | Gentoo,Biscoe,MALE,46.1,15.1,215.0 13 | Gentoo,Biscoe,MALE,45.2,16.4,223.0 14 | Gentoo,Biscoe,MALE,48.6,16.0,230.0 15 | Gentoo,Biscoe,FEMALE,43.4,14.4,218.0 16 | Chinstrap,Dream,MALE,51.3,19.2,193.0 17 | Gentoo,Biscoe,FEMALE,45.2,13.8,215.0 18 | Gentoo,Biscoe,FEMALE,44.5,14.7,214.0 19 | Chinstrap,Dream,FEMALE,46.4,18.6,190.0 20 | Adelie,Biscoe,FEMALE,39.6,17.7,186.0 21 | Gentoo,Biscoe,FEMALE,45.1,14.5,215.0 22 | Adelie,Dream,MALE,40.9,18.9,184.0 23 | Chinstrap,Dream,MALE,52.0,18.1,201.0 24 | Adelie,Dream,MALE,37.8,18.1,193.0 25 | Gentoo,Biscoe,FEMALE,46.2,14.1,217.0 26 | Adelie,Dream,MALE,39.2,18.6,190.0 27 | Chinstrap,Dream,MALE,51.7,20.3,194.0 28 | Chinstrap,Dream,FEMALE,45.4,18.7,188.0 29 | Gentoo,Biscoe,FEMALE,47.5,15.0,218.0 30 | Chinstrap,Dream,MALE,49.2,18.2,195.0 31 | Gentoo,Biscoe,MALE,46.7,15.3,219.0 32 | Gentoo,Biscoe,MALE,49.5,16.2,229.0 33 | Chinstrap,Dream,FEMALE,49.8,17.3,198.0 34 | Gentoo,Biscoe,FEMALE,42.8,14.2,209.0 35 | Chinstrap,Dream,FEMALE,50.2,18.7,198.0 36 | Gentoo,Biscoe,FEMALE,42.0,13.5,210.0 37 | Gentoo,Biscoe,MALE,47.6,14.5,215.0 38 | Adelie,Torgersen,MALE,34.6,21.1,198.0 39 | Adelie,Biscoe,MALE,40.6,18.6,183.0 40 | Gentoo,Biscoe,MALE,50.7,15.0,223.0 41 | Adelie,Torgersen,MALE,37.7,19.8,198.0 42 | Adelie,Torgersen,FEMALE,38.6,17.0,188.0 43 | Gentoo,Biscoe,FEMALE,45.3,13.8,208.0 44 | Chinstrap,Dream,FEMALE,45.5,17.0,196.0 45 | Gentoo,Biscoe,,,, 46 | Gentoo,Biscoe,MALE,48.7,15.1,222.0 47 | Chinstrap,Dream,MALE,49.3,19.9,203.0 48 | Adelie,Dream,MALE,39.8,19.1,184.0 49 | Gentoo,Biscoe,FEMALE,45.4,14.6,211.0 50 | Gentoo,Biscoe,MALE,48.5,14.1,220.0 51 | Chinstrap,Dream,MALE,51.0,18.8,203.0 52 | Adelie,Dream,MALE,39.7,17.9,193.0 53 | Gentoo,Biscoe,MALE,49.6,16.0,225.0 54 | Gentoo,Biscoe,FEMALE,46.2,14.5,209.0 55 | Gentoo,Biscoe,MALE,44.4,17.3,219.0 56 | Adelie,Dream,FEMALE,37.3,16.8,192.0 57 | Adelie,Biscoe,FEMALE,35.5,16.2,195.0 58 | Gentoo,Biscoe,MALE,50.8,15.7,226.0 59 | Adelie,Biscoe,MALE,38.8,17.2,180.0 60 | Chinstrap,Dream,FEMALE,46.7,17.9,195.0 61 | Adelie,Biscoe,FEMALE,36.4,17.1,184.0 62 | Gentoo,Biscoe,FEMALE,48.7,14.1,210.0 63 | Gentoo,Biscoe,FEMALE,46.5,14.4,217.0 64 | Gentoo,Biscoe,MALE,51.5,16.3,230.0 65 | Adelie,Biscoe,MALE,42.0,19.5,200.0 66 | Adelie,Biscoe,MALE,41.0,20.0,203.0 67 | Adelie,Biscoe,MALE,41.6,18.0,192.0 68 | Adelie,Torgersen,,37.8,17.3,180.0 69 | Gentoo,Biscoe,FEMALE,49.1,14.5,212.0 70 | Chinstrap,Dream,FEMALE,40.9,16.6,187.0 71 | Chinstrap,Dream,FEMALE,47.5,16.8,199.0 72 | Gentoo,Biscoe,FEMALE,45.5,13.9,210.0 73 | Chinstrap,Dream,FEMALE,46.8,16.5,189.0 74 | Gentoo,Biscoe,MALE,53.4,15.8,219.0 75 | Gentoo,Biscoe,MALE,49.0,16.1,216.0 76 | Adelie,Dream,MALE,41.1,17.5,190.0 77 | Gentoo,Biscoe,MALE,51.1,16.3,220.0 78 | Adelie,Torgersen,FEMALE,35.2,15.9,186.0 79 | Gentoo,Biscoe,MALE,52.2,17.1,228.0 80 | Gentoo,Biscoe,FEMALE,43.2,14.5,208.0 81 | Adelie,Biscoe,MALE,41.3,21.1,195.0 82 | Adelie,Biscoe,FEMALE,38.1,16.5,198.0 83 | Gentoo,Biscoe,MALE,48.4,14.6,213.0 84 | Adelie,Biscoe,FEMALE,35.7,16.9,185.0 85 | Chinstrap,Dream,MALE,52.8,20.0,205.0 86 | Gentoo,Biscoe,MALE,45.0,15.4,220.0 87 | Adelie,Dream,FEMALE,36.0,17.1,187.0 88 | Chinstrap,Dream,MALE,50.5,19.6,201.0 89 | Adelie,Dream,MALE,36.3,19.5,190.0 90 | Gentoo,Biscoe,,47.3,13.8,216.0 91 | Adelie,Torgersen,,37.8,17.1,186.0 92 | Gentoo,Biscoe,MALE,55.1,16.0,230.0 93 | Chinstrap,Dream,MALE,51.3,19.9,198.0 94 | Adelie,Torgersen,FEMALE,38.9,17.8,181.0 95 | Gentoo,Biscoe,FEMALE,48.4,14.4,203.0 96 | Gentoo,Biscoe,FEMALE,45.1,14.4,210.0 97 | Adelie,Dream,FEMALE,36.2,17.3,187.0 98 | Chinstrap,Dream,FEMALE,46.5,17.9,192.0 99 | Gentoo,Biscoe,FEMALE,47.2,15.5,215.0 100 | Chinstrap,Dream,MALE,52.0,19.0,197.0 101 | Chinstrap,Dream,MALE,51.4,19.0,201.0 102 | Gentoo,Biscoe,FEMALE,46.5,14.8,217.0 103 | Gentoo,Biscoe,FEMALE,44.9,13.8,212.0 104 | Adelie,Biscoe,MALE,37.8,20.0,190.0 105 | Gentoo,Biscoe,MALE,48.7,15.7,208.0 106 | Adelie,Torgersen,FEMALE,35.5,17.5,190.0 107 | Gentoo,Biscoe,MALE,50.1,15.0,225.0 108 | Adelie,Dream,MALE,39.2,21.1,196.0 109 | Adelie,Dream,FEMALE,35.6,17.5,191.0 110 | Chinstrap,Dream,FEMALE,43.2,16.6,187.0 111 | Adelie,Biscoe,MALE,38.2,18.1,185.0 112 | Gentoo,Biscoe,,44.5,15.7,217.0 113 | Adelie,Torgersen,MALE,39.2,19.6,195.0 114 | Gentoo,Biscoe,MALE,49.1,15.0,228.0 115 | Adelie,Dream,FEMALE,33.1,16.1,178.0 116 | Adelie,Dream,FEMALE,37.3,17.8,191.0 117 | Adelie,Dream,MALE,39.6,18.8,190.0 118 | Gentoo,Biscoe,FEMALE,45.5,13.7,214.0 119 | Gentoo,Biscoe,MALE,50.0,15.2,218.0 120 | Adelie,Torgersen,FEMALE,38.7,19.0,195.0 121 | Adelie,Biscoe,FEMALE,37.9,18.6,172.0 122 | Adelie,Torgersen,MALE,40.6,19.0,199.0 123 | Adelie,Biscoe,FEMALE,37.8,18.3,174.0 124 | Adelie,Torgersen,MALE,46.0,21.5,194.0 125 | Chinstrap,Dream,FEMALE,58.0,17.8,181.0 126 | Chinstrap,Dream,FEMALE,45.7,17.3,193.0 127 | Adelie,Dream,MALE,41.3,20.3,194.0 128 | Adelie,Biscoe,MALE,45.6,20.3,191.0 129 | Adelie,Dream,MALE,40.8,18.9,208.0 130 | Adelie,Biscoe,MALE,41.1,19.1,188.0 131 | Chinstrap,Dream,FEMALE,45.2,17.8,198.0 132 | Adelie,Torgersen,MALE,42.5,20.7,197.0 133 | Adelie,Torgersen,FEMALE,40.9,16.8,191.0 134 | Adelie,Biscoe,FEMALE,35.0,17.9,190.0 135 | Adelie,Biscoe,MALE,43.2,19.0,197.0 136 | Adelie,Biscoe,MALE,41.1,18.2,192.0 137 | Gentoo,Biscoe,FEMALE,43.8,13.9,208.0 138 | Chinstrap,Dream,MALE,54.2,20.8,201.0 139 | Adelie,Dream,MALE,43.2,18.5,192.0 140 | Gentoo,Biscoe,FEMALE,46.1,13.2,211.0 141 | Gentoo,Biscoe,FEMALE,47.2,13.7,214.0 142 | Adelie,Torgersen,MALE,42.9,17.6,196.0 143 | Adelie,Torgersen,MALE,43.1,19.2,197.0 144 | Chinstrap,Dream,MALE,50.3,20.0,197.0 145 | Adelie,Dream,FEMALE,36.4,17.0,195.0 146 | Adelie,Biscoe,MALE,40.1,18.9,188.0 147 | Gentoo,Biscoe,FEMALE,42.7,13.7,208.0 148 | Chinstrap,Dream,MALE,51.9,19.5,206.0 149 | Adelie,Torgersen,FEMALE,39.5,17.4,186.0 150 | Chinstrap,Dream,MALE,50.8,19.0,210.0 151 | Adelie,Dream,MALE,40.6,17.2,187.0 152 | Adelie,Torgersen,FEMALE,34.4,18.4,184.0 153 | Adelie,Torgersen,MALE,35.1,19.4,193.0 154 | Adelie,Biscoe,FEMALE,37.9,18.6,193.0 155 | Adelie,Dream,MALE,41.1,19.0,182.0 156 | Gentoo,Biscoe,MALE,47.3,15.3,222.0 157 | Gentoo,Biscoe,MALE,49.3,15.7,217.0 158 | Adelie,Biscoe,MALE,39.7,18.9,184.0 159 | Gentoo,Biscoe,FEMALE,45.2,14.8,212.0 160 | Adelie,Biscoe,FEMALE,38.1,17.0,181.0 161 | Chinstrap,Dream,MALE,49.0,19.5,210.0 162 | Chinstrap,Dream,FEMALE,45.7,17.0,195.0 163 | Gentoo,Biscoe,MALE,48.2,15.6,221.0 164 | Adelie,Torgersen,FEMALE,36.2,16.1,187.0 165 | Adelie,Torgersen,MALE,41.1,18.6,189.0 166 | Adelie,Torgersen,FEMALE,35.7,17.0,189.0 167 | Gentoo,Biscoe,MALE,46.8,15.4,215.0 168 | Adelie,Biscoe,FEMALE,35.0,17.9,192.0 169 | Adelie,Torgersen,MALE,37.2,19.4,184.0 170 | Adelie,Dream,FEMALE,32.1,15.5,188.0 171 | Adelie,Dream,FEMALE,42.2,18.5,180.0 172 | Adelie,Biscoe,MALE,38.2,20.0,190.0 173 | Adelie,Dream,FEMALE,37.0,16.9,185.0 174 | Adelie,Biscoe,FEMALE,35.9,19.2,189.0 175 | Chinstrap,Dream,MALE,52.7,19.8,197.0 176 | Chinstrap,Dream,MALE,52.0,20.7,210.0 177 | Gentoo,Biscoe,FEMALE,46.6,14.2,210.0 178 | Adelie,Dream,MALE,41.5,18.5,201.0 179 | Adelie,Torgersen,FEMALE,38.8,17.6,191.0 180 | Chinstrap,Dream,FEMALE,50.1,17.9,190.0 181 | Chinstrap,Dream,FEMALE,50.9,17.9,196.0 182 | Adelie,Dream,MALE,38.3,19.2,189.0 183 | Gentoo,Biscoe,MALE,47.8,15.0,215.0 184 | Adelie,Biscoe,MALE,41.4,18.6,191.0 185 | Chinstrap,Dream,FEMALE,46.1,18.2,178.0 186 | Gentoo,Biscoe,MALE,49.8,16.8,230.0 187 | Chinstrap,Dream,MALE,49.0,19.6,212.0 188 | Adelie,Torgersen,FEMALE,36.6,17.8,185.0 189 | Gentoo,Biscoe,MALE,50.8,17.3,228.0 190 | Adelie,Torgersen,MALE,39.7,18.4,190.0 191 | Chinstrap,Dream,MALE,50.6,19.4,193.0 192 | Chinstrap,Dream,MALE,50.2,18.8,202.0 193 | Chinstrap,Dream,FEMALE,42.5,17.3,187.0 194 | Chinstrap,Dream,FEMALE,47.6,18.3,195.0 195 | Adelie,Dream,MALE,40.8,18.4,195.0 196 | Gentoo,Biscoe,FEMALE,47.5,14.0,212.0 197 | Gentoo,Biscoe,MALE,50.4,15.3,224.0 198 | Chinstrap,Dream,FEMALE,45.2,16.6,191.0 199 | Gentoo,Biscoe,MALE,49.2,15.2,221.0 200 | Gentoo,Biscoe,MALE,46.3,15.8,215.0 201 | Adelie,Biscoe,MALE,40.5,18.9,180.0 202 | Adelie,Biscoe,FEMALE,35.3,18.9,187.0 203 | Gentoo,Biscoe,FEMALE,43.6,13.9,217.0 204 | Adelie,Biscoe,FEMALE,39.0,17.5,186.0 205 | Chinstrap,Dream,MALE,51.3,18.2,197.0 206 | Gentoo,Biscoe,MALE,48.4,16.3,220.0 207 | Adelie,Dream,FEMALE,36.9,18.6,189.0 208 | Adelie,Dream,FEMALE,36.0,17.8,195.0 209 | Chinstrap,Dream,FEMALE,46.2,17.5,187.0 210 | Adelie,Dream,MALE,40.2,20.1,200.0 211 | Gentoo,Biscoe,FEMALE,49.1,14.8,220.0 212 | Adelie,Dream,FEMALE,37.0,16.5,185.0 213 | Adelie,Dream,MALE,39.6,18.1,186.0 214 | Gentoo,Biscoe,MALE,48.1,15.1,209.0 215 | Gentoo,Biscoe,MALE,54.3,15.7,231.0 216 | Adelie,Dream,FEMALE,36.8,18.5,193.0 217 | Chinstrap,Dream,MALE,49.6,18.2,193.0 218 | Adelie,Torgersen,FEMALE,36.7,18.8,187.0 219 | Gentoo,Biscoe,FEMALE,48.5,15.0,219.0 220 | Gentoo,Biscoe,MALE,50.5,15.9,225.0 221 | Adelie,Biscoe,FEMALE,37.6,17.0,185.0 222 | Chinstrap,Dream,MALE,49.7,18.6,195.0 223 | Chinstrap,Dream,FEMALE,43.5,18.1,202.0 224 | Adelie,Biscoe,FEMALE,40.5,17.9,187.0 225 | Chinstrap,Dream,FEMALE,42.4,17.3,181.0 226 | Gentoo,Biscoe,MALE,49.5,16.1,224.0 227 | Adelie,Dream,FEMALE,39.5,16.7,178.0 228 | Gentoo,Biscoe,FEMALE,44.9,13.3,213.0 229 | Adelie,Torgersen,MALE,38.6,21.2,191.0 230 | Gentoo,Biscoe,MALE,49.9,16.1,213.0 231 | Adelie,Torgersen,,,, 232 | Adelie,Biscoe,FEMALE,38.6,17.2,199.0 233 | Adelie,Torgersen,FEMALE,36.7,19.3,193.0 234 | Gentoo,Biscoe,MALE,50.0,15.9,224.0 235 | Adelie,Dream,MALE,38.8,20.0,190.0 236 | Chinstrap,Dream,MALE,50.8,18.5,201.0 237 | Chinstrap,Dream,FEMALE,46.6,17.8,193.0 238 | Gentoo,Biscoe,MALE,49.8,15.9,229.0 239 | Adelie,Torgersen,FEMALE,34.6,17.2,189.0 240 | Chinstrap,Dream,FEMALE,45.9,17.1,190.0 241 | Gentoo,Biscoe,FEMALE,41.7,14.7,210.0 242 | -------------------------------------------------------------------------------- /datasets/Part5/penguin_y_train.csv: -------------------------------------------------------------------------------- 1 | body_mass_g 2 | 4250.0 3 | 4650.0 4 | 4250.0 5 | 4500.0 6 | 5700.0 7 | 3150.0 8 | 4100.0 9 | 5300.0 10 | 4550.0 11 | 3600.0 12 | 5100.0 13 | 5950.0 14 | 5800.0 15 | 4600.0 16 | 3650.0 17 | 4750.0 18 | 4850.0 19 | 3450.0 20 | 3500.0 21 | 5000.0 22 | 3900.0 23 | 4050.0 24 | 3750.0 25 | 4375.0 26 | 4250.0 27 | 3775.0 28 | 3525.0 29 | 4950.0 30 | 4400.0 31 | 5200.0 32 | 5800.0 33 | 3675.0 34 | 4700.0 35 | 3775.0 36 | 4150.0 37 | 5400.0 38 | 4400.0 39 | 3550.0 40 | 5550.0 41 | 3500.0 42 | 2900.0 43 | 4200.0 44 | 3500.0 45 | "" 46 | 5350.0 47 | 4050.0 48 | 4650.0 49 | 4800.0 50 | 5300.0 51 | 4100.0 52 | 4250.0 53 | 5700.0 54 | 4800.0 55 | 5250.0 56 | 3000.0 57 | 3350.0 58 | 5200.0 59 | 3800.0 60 | 3300.0 61 | 2850.0 62 | 4450.0 63 | 4900.0 64 | 5500.0 65 | 4050.0 66 | 4725.0 67 | 3950.0 68 | 3700.0 69 | 4625.0 70 | 3200.0 71 | 3900.0 72 | 4200.0 73 | 3650.0 74 | 5500.0 75 | 5550.0 76 | 3900.0 77 | 6000.0 78 | 3050.0 79 | 5400.0 80 | 4450.0 81 | 4400.0 82 | 3825.0 83 | 5850.0 84 | 3150.0 85 | 4550.0 86 | 5050.0 87 | 3700.0 88 | 4050.0 89 | 3800.0 90 | 4725.0 91 | 3300.0 92 | 5850.0 93 | 3700.0 94 | 3625.0 95 | 4625.0 96 | 4400.0 97 | 3300.0 98 | 3500.0 99 | 4975.0 100 | 4150.0 101 | 3950.0 102 | 5200.0 103 | 4750.0 104 | 4250.0 105 | 5350.0 106 | 3700.0 107 | 5000.0 108 | 4150.0 109 | 3175.0 110 | 2900.0 111 | 3950.0 112 | 4875.0 113 | 4675.0 114 | 5500.0 115 | 2900.0 116 | 3350.0 117 | 4600.0 118 | 4650.0 119 | 5700.0 120 | 3450.0 121 | 3150.0 122 | 4000.0 123 | 3400.0 124 | 4200.0 125 | 3700.0 126 | 3600.0 127 | 3550.0 128 | 4600.0 129 | 4300.0 130 | 4100.0 131 | 3950.0 132 | 4500.0 133 | 3700.0 134 | 3450.0 135 | 4775.0 136 | 4050.0 137 | 4300.0 138 | 4300.0 139 | 4100.0 140 | 4500.0 141 | 4925.0 142 | 4700.0 143 | 3500.0 144 | 3300.0 145 | 3325.0 146 | 4300.0 147 | 3950.0 148 | 3950.0 149 | 3800.0 150 | 4100.0 151 | 3475.0 152 | 3325.0 153 | 4200.0 154 | 2925.0 155 | 3425.0 156 | 5250.0 157 | 5850.0 158 | 3550.0 159 | 5200.0 160 | 3175.0 161 | 3950.0 162 | 3650.0 163 | 5100.0 164 | 3550.0 165 | 3325.0 166 | 3350.0 167 | 5150.0 168 | 3725.0 169 | 3900.0 170 | 3050.0 171 | 3550.0 172 | 3900.0 173 | 3000.0 174 | 3800.0 175 | 3725.0 176 | 4800.0 177 | 4850.0 178 | 4000.0 179 | 3275.0 180 | 3400.0 181 | 3675.0 182 | 3950.0 183 | 5650.0 184 | 3700.0 185 | 3250.0 186 | 5700.0 187 | 4300.0 188 | 3700.0 189 | 5600.0 190 | 3900.0 191 | 3800.0 192 | 3800.0 193 | 3350.0 194 | 3850.0 195 | 3900.0 196 | 4875.0 197 | 5550.0 198 | 3250.0 199 | 6300.0 200 | 5050.0 201 | 3950.0 202 | 3800.0 203 | 4900.0 204 | 3550.0 205 | 3750.0 206 | 5400.0 207 | 3500.0 208 | 3450.0 209 | 3650.0 210 | 3975.0 211 | 5150.0 212 | 3400.0 213 | 4450.0 214 | 5500.0 215 | 5650.0 216 | 3500.0 217 | 3775.0 218 | 3800.0 219 | 4850.0 220 | 5400.0 221 | 3600.0 222 | 3600.0 223 | 3400.0 224 | 3200.0 225 | 3600.0 226 | 5650.0 227 | 3250.0 228 | 5100.0 229 | 3800.0 230 | 5400.0 231 | "" 232 | 3750.0 233 | 3450.0 234 | 5350.0 235 | 3950.0 236 | 4450.0 237 | 3800.0 238 | 5950.0 239 | 3200.0 240 | 3575.0 241 | 4700.0 242 | -------------------------------------------------------------------------------- /datasets/datas(8회)/09.01.01.bank_loan.csv: -------------------------------------------------------------------------------- 1 | customer_id,age_group,p_bank_loan,s_bank_loan 2 | A001,청년,257,175 3 | A002,청년,199,160 4 | A003,청년,279,223 5 | A004,중년,388,357 6 | A005,중년,430,388 7 | A006,중년,312,299 8 | A007,장년,523,477 9 | A008,장년,588,488 10 | A009,장년,457,423 11 | A010,청년,223,199 12 | A011,청년,177,146 13 | A012,중년,399,368 14 | A013,장년,512,468 15 | A014,청년,246,212 16 | A015,중년,357,323 17 | A016,청년,212,188 18 | A017,중년,412,377 19 | A018,장년,543,499 20 | A019,청년,288,246 21 | A020,중년,368,335 22 | A021,장년,499,457 23 | A022,청년,235,199 24 | A023,중년,410,368 25 | A024,장년,557,488 26 | A025,청년,265,223 27 | A026,중년,377,346 28 | A027,장년,535,477 29 | A028,청년,210,177 30 | A029,중년,432,388 31 | A030,장년,568,499 32 | A031,청년,257,212 33 | A032,중년,388,357 34 | A033,장년,512,468 35 | A034,청년,223,188 36 | A035,중년,412,377 37 | A036,장년,543,488 38 | A037,청년,279,235 39 | A038,중년,399,368 40 | A039,장년,523,477 41 | A040,청년,246,210 42 | A041,중년,410,377 43 | A042,장년,557,499 44 | A043,청년,265,223 45 | A044,중년,377,346 46 | A045,장년,535,477 47 | A046,청년,212,177 48 | A047,중년,430,388 49 | A048,장년,568,499 50 | A049,청년,288,246 51 | A050,중년,357,323 52 | A051,장년,512,468 53 | A052,청년,235,199 54 | A053,중년,412,377 55 | A054,장년,543,488 56 | A055,청년,257,212 57 | A056,중년,388,357 58 | A057,장년,523,477 59 | A058,청년,223,188 60 | A059,중년,410,377 61 | A060,장년,557,499 62 | A061,청년,279,235 63 | A062,중년,368,335 64 | A063,장년,535,477 65 | A064,청년,246,210 66 | A065,중년,430,388 67 | A066,장년,568,499 68 | A067,청년,265,223 69 | A068,중년,377,346 70 | A069,장년,512,468 71 | A070,청년,212,177 72 | A071,중년,412,377 73 | A072,장년,543,488 74 | A073,청년,288,246 75 | A074,중년,388,357 76 | A075,장년,523,477 77 | A076,청년,235,199 78 | A077,중년,410,377 79 | A078,장년,557,499 80 | A079,청년,257,212 81 | A080,중년,368,335 82 | A081,장년,535,477 83 | A082,청년,223,188 84 | A083,중년,430,388 85 | A084,장년,568,499 86 | A085,청년,279,235 87 | A086,중년,377,346 88 | A087,장년,512,468 89 | A088,청년,246,210 90 | A089,중년,412,377 91 | A090,장년,543,488 92 | A091,청년,265,223 93 | A092,중년,388,357 94 | A093,장년,523,477 95 | A094,청년,212,177 96 | A095,중년,410,377 97 | A096,장년,557,499 98 | A097,청년,288,246 99 | A098,중년,368,335 100 | A099,장년,535,477 101 | A100,청년,257,212 102 | -------------------------------------------------------------------------------- /datasets/datas(8회)/09.01.02.crime.csv: -------------------------------------------------------------------------------- 1 | quarter,crime_type,incidents,arrests 2 | 2023Q1,theft,2456,1890 3 | 2023Q1,fraud,3245,2123 4 | 2023Q1,violence,1876,1654 5 | 2023Q1,robbery,234,198 6 | 2023Q1,cybercrime,4532,2987 7 | 2023Q2,theft,2876,2234 8 | 2023Q2,fraud,3987,2876 9 | 2023Q2,violence,1654,1432 10 | 2023Q2,robbery,189,167 11 | 2023Q2,cybercrime,5234,3654 12 | 2023Q3,theft,2345,1987 13 | 2023Q3,fraud,4123,3012 14 | 2023Q3,violence,1987,1765 15 | 2023Q3,robbery,212,187 16 | 2023Q3,cybercrime,5876,4123 17 | 2023Q4,theft,2123,1876 18 | 2023Q4,fraud,3876,2987 19 | 2023Q4,violence,1765,1543 20 | 2023Q4,robbery,198,176 21 | 2023Q4,cybercrime,5432,3987 22 | 2024Q1,theft,2567,2123 23 | 2024Q1,fraud,4234,3234 24 | 2024Q1,violence,1898,1654 25 | 2024Q1,robbery,223,198 26 | 2024Q1,cybercrime,6123,4567 27 | -------------------------------------------------------------------------------- /datasets/datas(8회)/09.01.03.employees.csv: -------------------------------------------------------------------------------- 1 | emp_id,department,years_of_service,salary,performance_rating,training_score 2 | E001,Sales,5,4500,A,92 3 | E002,IT,3,5200,B,88 4 | E003,HR,7,,A,85 5 | E004,Sales,4,4800,B, 6 | E005,IT,,5800,A,91 7 | E006,HR,6,4700,C,82 8 | E007,Sales,8,5100,A,95 9 | E008,IT,4,5400,B,89 10 | E009,HR,,4900,B,87 11 | E010,Sales,5,4600,A, 12 | E011,IT,7,5700,A,94 13 | E012,HR,3,4500,C,81 14 | E013,Sales,,5200,B,88 15 | E014,IT,6,5500,A,93 16 | E015,HR,4,4700,B,86 17 | E016,Sales,7,4900,A,91 18 | E017,IT,5,5300,B,87 19 | E018,HR,,4800,A,84 20 | E019,Sales,6,5000,B, 21 | E020,IT,4,5600,A,92 22 | E021,HR,5,4600,C,83 23 | E022,Sales,8,5300,A,93 24 | E023,IT,,5900,B,90 25 | E024,HR,6,4800,B,85 26 | E025,Sales,4,4700,A,89 27 | E026,IT,7,5800,A, 28 | E027,HR,3,4600,C,82 29 | E028,Sales,,5100,B,87 30 | E029,IT,5,5500,B,91 31 | E030,HR,4,4800,B,86 32 | E031,Sales,6,4900,A,90 33 | E032,IT,8,5700,A,93 34 | E033,HR,,4700,C,84 35 | E034,Sales,5,4800,B, 36 | E035,IT,4,5400,B,88 37 | E036,HR,7,4900,A,85 38 | E037,Sales,3,4600,C,86 39 | E038,IT,,5600,A,92 40 | E039,HR,5,4700,B,87 41 | E040,Sales,6,5000,A,91 42 | E041,IT,7,5800,A,94 43 | E042,HR,4,4600,C,83 44 | E043,Sales,,5200,B,89 45 | E044,IT,5,5500,B,90 46 | E045,HR,6,4800,A,86 47 | E046,Sales,8,5100,A, 48 | E047,IT,4,5300,B,87 49 | E048,HR,,4700,C,84 50 | E049,Sales,5,4900,B,88 51 | E050,IT,6,5700,A,93 52 | E051,HR,3,4600,B,85 53 | E052,Sales,7,5000,A,92 54 | E053,IT,,5400,B,89 55 | E054,HR,5,4800,C,86 56 | E055,Sales,4,4700,B, 57 | E056,IT,8,5900,A,94 58 | E057,HR,6,4900,A,87 59 | E058,Sales,,5100,B,90 60 | E059,IT,5,5600,B,91 61 | E060,HR,4,4700,C,85 62 | E061,Sales,7,5200,A,93 63 | E062,IT,3,5300,B,88 64 | E063,HR,,4800,A,86 65 | E064,Sales,6,4900,B, 66 | E065,IT,7,5800,A,92 67 | E066,HR,5,4600,C,84 68 | E067,Sales,8,5300,A,91 69 | E068,IT,,5500,B,89 70 | E069,HR,6,4900,B,87 71 | E070,Sales,4,4800,A,90 72 | E071,IT,7,5700,A, 73 | E072,HR,3,4600,C,83 74 | E073,Sales,,5000,B,88 75 | E074,IT,5,5400,B,91 76 | E075,HR,4,4700,B,85 77 | E076,Sales,6,5100,A,92 78 | E077,IT,8,5900,A,94 79 | E078,HR,,4800,C,86 80 | E079,Sales,5,4900,B, 81 | E080,IT,4,5500,B,90 82 | E081,HR,7,4700,A,87 83 | E082,Sales,3,4600,C,89 84 | E083,IT,,5600,A,93 85 | E084,HR,5,4800,B,85 86 | E085,Sales,6,5000,A,91 87 | E086,IT,7,5800,A,92 88 | E087,HR,4,4600,C,84 89 | E088,Sales,,5200,B,88 90 | E089,IT,5,5500,B,90 91 | E090,HR,6,4900,A,86 92 | E091,Sales,8,5100,A, 93 | E092,IT,4,5400,B,89 94 | E093,HR,,4700,C,85 95 | E094,Sales,5,4800,B,87 96 | E095,IT,6,5700,A,93 97 | E096,HR,3,4600,B,84 98 | E097,Sales,7,5000,A,91 99 | E098,IT,,5500,B,90 100 | E099,HR,5,4800,C,86 101 | E100,Sales,4,4700,B,88 102 | -------------------------------------------------------------------------------- /datasets/datas(8회)/09.02.test_y.csv: -------------------------------------------------------------------------------- 1 | customer_id,credit_rating 2 | 2001,2 3 | 2002,3 4 | 2003,2 5 | 2004,2 6 | 2005,1 7 | 2006,2 8 | 2007,3 9 | 2008,2 10 | 2009,2 11 | 2010,2 12 | 2011,2 13 | 2012,3 14 | 2013,3 15 | 2014,3 16 | 2015,3 17 | 2016,2 18 | 2017,2 19 | 2018,3 20 | 2019,3 21 | 2020,2 22 | 2021,2 23 | 2022,1 24 | 2023,2 25 | 2024,1 26 | 2025,3 27 | 2026,1 28 | 2027,1 29 | 2028,1 30 | 2029,2 31 | 2030,1 32 | 2031,2 33 | 2032,3 34 | 2033,3 35 | 2034,2 36 | 2035,3 37 | 2036,3 38 | 2037,3 39 | 2038,3 40 | 2039,3 41 | 2040,1 42 | 2041,1 43 | 2042,3 44 | 2043,1 45 | 2044,1 46 | 2045,2 47 | 2046,3 48 | 2047,1 49 | 2048,3 50 | 2049,1 51 | 2050,1 52 | 2051,2 53 | 2052,1 54 | 2053,3 55 | 2054,3 56 | 2055,3 57 | 2056,1 58 | 2057,3 59 | 2058,2 60 | 2059,1 61 | 2060,1 62 | 2061,2 63 | 2062,2 64 | 2063,1 65 | 2064,3 66 | 2065,1 67 | 2066,2 68 | 2067,1 69 | 2068,3 70 | 2069,2 71 | 2070,2 72 | 2071,2 73 | 2072,2 74 | 2073,3 75 | 2074,1 76 | 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232 | 2231,1 233 | 2232,3 234 | 2233,3 235 | 2234,1 236 | 2235,2 237 | 2236,1 238 | 2237,3 239 | 2238,3 240 | 2239,2 241 | 2240,2 242 | 2241,1 243 | 2242,1 244 | 2243,2 245 | 2244,1 246 | 2245,3 247 | 2246,1 248 | 2247,2 249 | 2248,3 250 | 2249,1 251 | 2250,2 252 | 2251,1 253 | 2252,1 254 | 2253,1 255 | 2254,1 256 | 2255,1 257 | 2256,3 258 | 2257,3 259 | 2258,1 260 | 2259,2 261 | 2260,2 262 | 2261,2 263 | 2262,1 264 | 2263,2 265 | 2264,2 266 | 2265,2 267 | 2266,3 268 | 2267,1 269 | 2268,2 270 | 2269,1 271 | 2270,1 272 | 2271,2 273 | 2272,2 274 | 2273,1 275 | 2274,2 276 | 2275,3 277 | 2276,3 278 | 2277,2 279 | 2278,3 280 | 2279,2 281 | 2280,3 282 | 2281,3 283 | 2282,3 284 | 2283,3 285 | 2284,2 286 | 2285,3 287 | 2286,1 288 | 2287,3 289 | 2288,3 290 | 2289,1 291 | 2290,3 292 | 2291,2 293 | 2292,2 294 | 2293,3 295 | 2294,1 296 | 2295,3 297 | 2296,2 298 | 2297,3 299 | 2298,2 300 | 2299,1 301 | 2300,1 302 | -------------------------------------------------------------------------------- /datasets/datas(8회)/09.03.01.house_price.csv: -------------------------------------------------------------------------------- 1 | house_id,area,floor,built_year,subway_distance,price 2 | H001,31.2,11,2018,560,50741.0 3 | H002,48.5,17,2014,831,75875.0 4 | H003,42.0,8,2022,851,67956.0 5 | H004,38.0,4,2018,657,59096.0 6 | H005,24.7,6,2013,646,38851.0 7 | H006,24.7,8,2019,352,41490.0 8 | H007,21.7,3,2014,489,34070.0 9 | H008,46.0,16,2018,693,74310.0 10 | H009,38.0,3,2017,982,59401.0 11 | H010,41.2,18,2012,355,67420.0 12 | H011,20.6,14,2010,808,33043.0 13 | H012,49.1,18,2012,914,77520.0 14 | H013,45.0,2,2013,549,69392.0 15 | H014,26.4,3,2011,109,40917.0 16 | H015,25.5,16,2010,923,40630.0 17 | H016,25.5,9,2016,897,42303.0 18 | H017,29.1,4,2017,341,45508.0 19 | H018,35.7,1,2016,350,55148.0 20 | H019,33.0,4,2014,976,50241.0 21 | H020,28.7,1,2021,104,47074.0 22 | H021,38.4,14,2010,218,61481.0 23 | H022,24.2,16,2016,900,41073.0 24 | H023,28.8,8,2022,473,48239.0 25 | H024,31.0,7,2016,164,48743.0 26 | H025,33.7,3,2018,245,52725.0 27 | H026,43.6,17,2012,323,68045.0 28 | H027,26.0,1,2018,338,39254.0 29 | H028,35.4,16,2010,276,55771.0 30 | H029,37.8,12,2010,878,58363.0 31 | H030,21.4,19,2013,952,38497.0 32 | H031,38.2,14,2018,381,63872.0 33 | H032,25.1,6,2015,162,40825.0 34 | H033,22.0,6,2022,316,39726.0 35 | H034,48.5,13,2020,953,79264.0 36 | H035,49.0,19,2012,926,75429.0 37 | H036,44.3,8,2010,894,68670.0 38 | H037,29.1,2,2013,788,45267.0 39 | H038,22.9,1,2021,560,37281.0 40 | H039,40.5,15,2022,709,65580.0 41 | H040,33.2,1,2018,204,52893.0 42 | H041,23.7,5,2012,198,34972.0 43 | H042,34.9,16,2021,610,58524.0 44 | H043,21.0,19,2018,484,36841.0 45 | H044,47.3,4,2016,504,72039.0 46 | H045,27.8,3,2021,922,46328.0 47 | H046,39.9,17,2013,617,63800.0 48 | H047,29.4,17,2012,575,47986.0 49 | H048,35.6,12,2019,808,59004.0 50 | H049,36.4,14,2014,962,58110.0 51 | H050,25.5,6,2014,744,40729.0 52 | H051,49.1,3,2012,969,75181.0 53 | H052,43.3,9,2021,870,70182.0 54 | H053,48.2,5,2018,536,75718.0 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C293,22,19.5,119.0,111.2,0 295 | C294,39,27.7,143.0,89.2,1 296 | C295,43,18.5,131.9,124.9,0 297 | C296,52,31.1,122.6,76.9,1 298 | C297,43,19.7,134.0,79.2,0 299 | C298,30,29.5,115.0,121.7,1 300 | C299,68,22.3,101.5,60.9,0 301 | C300,27,26.7,110.1,105.7,0 302 | -------------------------------------------------------------------------------- /datasets/datas(9회)/1.1.coffee_consumption.csv: -------------------------------------------------------------------------------- 1 | country,continent,caffeine_concentration,Arabica_consumption,Robusta_consumption,Liberica_consumption,Excelsa_consumption,Geisha_consumption 2 | Afghanistan,Oceania,2.51,79,154,360,249,222 3 | Albania,Africa,0.99,173,392,311,444,64 4 | Algeria,Africa,0.79,499,416,109,349,303 5 | Andorra,Oceania,1.06,340,210,247,406,485 6 | Angola,Europe,0.87,90,172,345,60,216 7 | Argentina,Asia,1.16,93,185,147,488,143 8 | Armenia,Asia,0.86,424,252,180,500,299 9 | Australia,Asia,0.65,298,117,72,441,158 10 | Austria,Oceania,2.48,467,393,412,344,231 11 | Azerbaijan,Africa,1.99,85,380,273,244,458 12 | Bahamas,Oceania,2.56,439,203,50,294,182 13 | Bahrain,Oceania,2.8,322,284,316,53,224 14 | Bangladesh,South America,1.6,442,211,462,230,193 15 | Barbados,Africa,1.67,114,434,325,202,500 16 | Belarus,South America,1.26,115,87,401,435,355 17 | Belgium,North America,1.51,387,54,418,249,409 18 | Belize,Africa,1.18,293,284,429,486,500 19 | Benin,Africa,1.85,331,368,427,477,191 20 | Bhutan,Africa,1.59,134,338,393,264,334 21 | Bolivia,Asia,2,185,101,150,325,55 22 | Bosnia and Herzegovina,Asia,2.72,320,87,236,432,314 23 | Botswana,South America,2.34,496,325,270,426,147 24 | Brazil,South America,2.01,360,159,85,329,93 25 | Brunei,Africa,0.56,266,309,390,459,173 26 | Bulgaria,South America,1.07,158,185,219,358,418 27 | Burkina Faso,Asia,2.19,326,117,369,162,258 28 | Burundi,Oceania,2.65,436,228,210,299,300 29 | Cabo Verde,Oceania,1.97,423,85,389,162,334 30 | Cambodia,Oceania,0.55,403,500,484,189,438 31 | Cameroon,South America,2.41,152,175,113,273,173 32 | Canada,North America,2.55,415,239,418,298,403 33 | Central African Republic,Asia,1.94,209,195,203,64,293 34 | Chad,North America,2.41,254,130,309,249,380 35 | Chile,South America,0.94,393,274,208,222,414 36 | China,Europe,1.8,382,476,391,392,301 37 | Colombia,Africa,1.61,241,328,259,397,279 38 | Comoros,Asia,1.2,274,410,217,458,455 39 | Congo,Oceania,2.99,314,204,256,257,58 40 | Costa Rica,North America,1.59,281,363,406,420,97 41 | Croatia,Europe,2.54,111,463,201,134,200 42 | Cuba,Europe,2.92,176,384,333,480,163 43 | Cyprus,Asia,1.68,165,320,115,289,257 44 | Czech Republic,Asia,1.52,82,54,148,115,404 45 | Denmark,Europe,1.3,223,391,265,368,174 46 | Djibouti,Africa,0.76,60,468,390,323,206 47 | Dominica,Africa,0.9,351,333,244,63,389 48 | Dominican Republic,North America,1.53,333,203,396,251,347 49 | Ecuador,Africa,1.74,167,389,433,353,238 50 | Egypt,Europe,2.16,351,103,139,338,292 51 | El Salvador,Europe,1.5,162,499,365,389,333 52 | Equatorial Guinea,South America,2.4,53,118,341,63,321 53 | Eritrea,Europe,0.59,86,185,204,92,226 54 | Estonia,Africa,0.72,412,109,257,379,267 55 | Eswatini,Oceania,1.13,373,104,330,269,431 56 | Ethiopia,North America,0.79,80,430,476,119,331 57 | Fiji,South America,2.43,167,333,50,493,219 58 | Finland,Africa,2.66,84,129,205,286,230 59 | France,North America,2.56,66,189,196,143,409 60 | Gabon,Africa,0.5,490,194,157,75,282 61 | Gambia,South America,2.67,219,359,270,183,188 62 | Georgia,Europe,1.65,86,157,452,244,206 63 | Germany,Oceania,0.64,313,417,346,217,178 64 | Ghana,South America,1.8,171,225,360,158,168 65 | Greece,Europe,2.06,192,154,385,282,111 66 | Grenada,South America,1.75,392,401,214,217,419 67 | Guatemala,Asia,1.61,298,374,288,222,148 68 | Guinea,Oceania,0.63,159,486,276,439,211 69 | Guinea-Bissau,Africa,1.17,326,185,276,500,111 70 | Guyana,Africa,0.83,117,308,395,244,430 71 | Haiti,Oceania,1.22,420,300,159,192,324 72 | Honduras,Asia,2.7,342,178,311,435,440 73 | Hungary,Europe,1.71,345,483,292,475,403 74 | Iceland,Africa,0.57,292,76,456,265,144 75 | India,Asia,2.08,174,97,457,179,148 76 | Indonesia,Africa,2.5,451,374,426,477,160 77 | Iran,North America,2.27,292,266,136,91,428 78 | Iraq,Europe,1.28,463,474,387,290,297 79 | Ireland,North America,0.53,258,191,93,59,191 80 | Israel,Oceania,1.52,147,72,195,433,420 81 | Italy,Europe,1.06,98,51,313,326,351 82 | Jamaica,Asia,2.6,99,220,389,76,439 83 | Japan,Europe,0.78,387,444,374,229,318 84 | Jordan,Europe,2.87,270,116,367,164,355 85 | Kazakhstan,Asia,2.12,231,376,221,382,194 86 | Kenya,Oceania,0.88,266,184,97,85,101 87 | Kiribati,Europe,2.83,260,132,469,449,476 88 | Kuwait,Oceania,1.23,289,429,434,383,149 89 | Kyrgyzstan,Oceania,2.26,492,276,170,70,201 90 | Laos,Oceania,1.54,423,332,394,436,166 91 | Latvia,Africa,1.71,77,411,208,65,234 92 | Lebanon,South America,1.68,394,268,165,176,141 93 | Lesotho,Oceania,1.64,384,337,462,152,204 94 | Liberia,Asia,0.86,380,54,151,479,57 95 | Libya,South America,0.98,100,107,125,60,412 96 | Liechtenstein,Oceania,2,81,88,62,368,323 97 | Lithuania,Asia,2.37,256,403,73,128,114 98 | Luxembourg,Asia,0.84,422,126,175,172,190 99 | Madagascar,North America,0.67,223,329,293,114,73 100 | Malawi,North America,2.43,459,68,362,292,77 101 | Malaysia,Europe,2.64,491,477,485,392,333 102 | Maldives,Oceania,1.35,105,239,443,108,199 103 | Mali,Oceania,2.47,177,348,87,338,407 104 | Malta,South America,1.17,148,332,283,161,114 105 | Marshall Islands,Asia,0.51,147,125,262,288,376 106 | Mauritania,Oceania,2.32,324,270,372,408,494 107 | Mauritius,Europe,2.59,279,115,344,181,435 108 | Mexico,Africa,1.95,121,71,149,442,301 109 | Micronesia,Asia,2.15,266,207,417,238,102 110 | Moldova,Africa,2.66,143,236,406,135,496 111 | Monaco,Europe,1.62,192,457,246,360,56 112 | Mongolia,North America,1.71,286,490,303,360,343 113 | Montenegro,Europe,1.33,177,70,254,432,195 114 | Morocco,Africa,2.41,497,233,174,417,290 115 | Mozambique,Asia,1.44,88,157,125,108,295 116 | Myanmar,South America,2.83,276,399,385,448,275 117 | Namibia,Oceania,2.67,463,177,402,469,224 118 | Nauru,Europe,2.95,491,391,52,133,144 119 | Nepal,Asia,1.1,488,102,434,209,76 120 | Netherlands,Oceania,1.46,331,231,490,105,179 121 | New Zealand,North America,2.64,100,449,444,346,491 122 | Nicaragua,North America,1.53,75,336,104,63,294 123 | Niger,Oceania,1.3,383,497,448,209,108 124 | Nigeria,North America,1.68,326,258,267,344,470 125 | North Korea,Asia,2.78,478,367,162,396,83 126 | North Macedonia,Europe,1.45,57,433,140,242,255 127 | Norway,Asia,2.97,97,129,461,253,301 128 | Oman,Asia,2.48,435,171,406,416,87 129 | Pakistan,Oceania,2.13,484,492,315,151,345 130 | Palau,South America,0.88,171,133,287,88,372 131 | Panama,South America,2.91,135,459,75,353,401 132 | Papua New Guinea,Europe,0.82,258,465,335,403,77 133 | Paraguay,Oceania,2.91,298,140,177,475,127 134 | Peru,South America,1.33,296,261,484,371,126 135 | Philippines,North America,0.75,159,62,112,174,465 136 | Poland,South America,2.61,492,141,283,102,338 137 | Portugal,North America,0.75,255,427,118,406,205 138 | Qatar,Europe,2.78,80,220,460,445,93 139 | Romania,Asia,0.54,134,450,287,204,177 140 | Russia,Asia,0.86,244,260,391,485,110 141 | Rwanda,South America,2.68,51,460,321,400,335 142 | Saint Kitts and Nevis,North America,2.92,249,392,336,357,441 143 | Saint Lucia,Africa,0.69,185,492,354,462,263 144 | Saint Vincent and the Grenadines,Africa,2.45,451,426,212,111,360 145 | Samoa,Africa,1.16,451,465,436,457,355 146 | San Marino,Asia,2.06,282,177,276,339,454 147 | Sao Tome and Principe,Oceania,1.49,196,186,363,450,366 148 | Saudi Arabia,Asia,0.7,266,131,467,71,165 149 | Senegal,Oceania,1.32,406,453,418,227,447 150 | Serbia,North America,2.19,424,409,308,322,317 151 | Seychelles,South America,1.83,451,105,268,269,244 152 | Sierra Leone,Africa,2.89,334,245,475,388,280 153 | Singapore,North America,2.07,388,496,330,239,276 154 | Slovakia,North America,2.72,417,69,278,85,202 155 | Slovenia,South America,1.72,299,489,131,309,490 156 | Solomon Islands,North America,1.85,129,290,430,381,351 157 | Somalia,South America,2.04,147,163,491,224,269 158 | South Africa,Europe,1.09,201,152,293,56,206 159 | South Korea,South America,2.21,161,468,280,484,341 160 | South Sudan,Africa,1.22,79,285,182,265,367 161 | Spain,Oceania,1.07,346,229,434,471,80 162 | Sri Lanka,Oceania,0.73,426,206,176,300,362 163 | Sudan,Africa,2.95,327,470,480,104,428 164 | Suriname,Oceania,2.4,81,457,376,271,100 165 | Sweden,South America,2.26,432,496,191,235,440 166 | Switzerland,Europe,0.75,210,166,442,375,156 167 | Syria,Oceania,0.92,79,164,448,474,370 168 | Taiwan,Europe,1.25,75,62,316,285,158 169 | Tajikistan,Africa,0.57,349,387,298,412,185 170 | Tanzania,Europe,1.31,294,148,370,128,388 171 | Thailand,North America,0.64,307,254,172,272,91 172 | Timor-Leste,Asia,1.4,486,218,190,140,130 173 | Togo,North America,1.58,321,192,275,425,172 174 | Tonga,Africa,1.11,130,492,89,317,138 175 | Trinidad and Tobago,Oceania,1.53,79,85,415,383,332 176 | Tunisia,Oceania,2.2,310,445,196,188,88 177 | Turkey,Europe,0.95,91,192,170,365,130 178 | Turkmenistan,South America,0.94,485,229,189,463,51 179 | Tuvalu,Asia,2.02,145,378,221,325,259 180 | Uganda,South America,1.46,85,310,213,446,280 181 | Ukraine,Africa,2.21,354,254,326,297,402 182 | United Arab Emirates,Oceania,1.74,84,397,91,288,354 183 | United Kingdom,Europe,1.96,395,481,120,273,290 184 | United States,Oceania,1.08,491,324,127,472,199 185 | Uruguay,South America,2.09,170,219,168,424,66 186 | Uzbekistan,South America,1.65,256,64,246,353,168 187 | Vanuatu,Asia,2.17,111,109,405,187,197 188 | Vatican City,Asia,2.75,341,499,128,215,411 189 | Venezuela,Europe,1.66,176,183,411,486,194 190 | Vietnam,Asia,1.22,346,141,159,175,409 191 | Yemen,South America,1.87,354,347,82,475,490 192 | Zambia,South America,0.68,70,185,262,94,282 193 | Zimbabwe,Africa,2.86,367,69,258,192,86 194 | -------------------------------------------------------------------------------- /datasets/datas(9회)/1.2.Auto_Sales.csv: -------------------------------------------------------------------------------- 1 | country,sedan_sales,suv_sales,total_sales 2 | USA,309,735,1044 3 | Germany,442,356,798 4 | Japan,590,794,1384 5 | South Korea,785,873,1658 6 | China,567,838,1405 7 | India,788,885,1673 8 | Brazil,502,775,1277 9 | France,916,797,1713 10 | UK,502,240,742 11 | Italy,222,743,965 12 | Canada,874,199,1073 13 | Australia,605,742,1347 14 | Russia,481,761,1242 15 | Mexico,208,140,348 16 | Spain,779,416,1195 17 | Netherlands,902,551,1453 18 | Turkey,996,134,1130 19 | Saudi Arabia,962,693,1655 20 | South Africa,250,473,723 21 | Sweden,820,849,1669 22 | Argentina,963,234,1197 23 | Malaysia,708,192,900 24 | Indonesia,493,402,895 25 | Thailand,994,434,1428 26 | Vietnam,435,865,1300 27 | Norway,821,525,1346 28 | Denmark,560,279,839 29 | Finland,424,305,729 30 | Poland,851,235,1086 31 | New Zealand,394,652,1046 32 | -------------------------------------------------------------------------------- /datasets/datas(9회)/1.3.Co_Nmch.csv: -------------------------------------------------------------------------------- 1 | Co,Nmch 2 | 42.472407130841745,11.571459284336713 3 | 77.04285838459498,41.82052056318902 4 | 63.919636508684306,25.717799053816336 5 | 55.919509051822196,35.42853455823514 6 | 29.36111842654619,55.37832369630465 7 | 29.35967122017216,22.464611457443745 8 | 23.485016730091967,30.519146151781488 9 | 71.97056874649611,47.77755692715243 10 | 56.06690070459253,21.43990827458112 11 | 62.48435466776273,13.848995491439648 12 | 21.23506965774815,24.487572645688402 13 | 78.19459112971967,18.061064362700222 14 | 69.94655844802531,56.484882617128655 15 | 32.74034664069657,50.40601897822085 16 | 30.909498032426036,41.67018782552117 17 | 31.00427059120603,53.57302950938588 18 | 38.254534577572265,50.18360384495573 19 | 51.48538589793427,19.328502944301793 20 | 45.916701118526944,54.627949924498886 21 | 37.47374841188251,36.96711209578254 22 | 56.71117368334277,50.372007758203125 23 | 28.36963163912251,54.80456499617466 24 | 37.528678912113094,25.900173748593193 25 | 41.9817105976215,15.502596226383838 26 | 47.364199053022155,21.396758127097083 27 | 67.11055768358082,31.355389431312815 28 | 31.980426929501583,50.90073829612466 29 | 50.8540663048167,53.036529162817175 30 | 55.54487413172255,10.347606526559535 31 | 22.787024763199863,35.537365128878285 32 | 56.4526911140863,30.87055015743895 33 | 30.23144742123749,21.105390523536514 34 | 23.903095579116773,15.993268366684141 35 | 76.93313223519999,26.8807585701814 36 | 77.93792198447356,57.14548519562596 37 | 68.50384088698766,26.160146601037763 38 | 38.27682615040224,35.939531087168305 39 | 25.86032684038303,45.15094794475889 40 | 61.053981590729414,28.1814801189647 41 | 46.40914962437608,58.589104136048036 42 | 27.32229409068673,58.122364747105564 43 | 49.71061460667621,22.58911479126821 44 | 22.063311266913104,34.86242529461927 45 | 74.55922412472692,25.043915490838483 46 | 35.52679889600101,24.24202471887338 47 | 59.75133706123892,11.84434736772664 48 | 38.70266456536466,40.47821669899484 49 | 51.20408127066865,35.13395116144308 50 | 52.80261676059678,12.573937562499466 51 | 31.091267331531622,23.93232321183057 52 | 78.17507766587352,55.41329429833269 53 | 66.50796940166687,21.97809453334862 54 | 76.36993649385136,17.244743604561155 55 | 73.68964102565893,34.472638013878154 56 | 55.87399872866511,59.282522705530035 57 | 75.312454101387,22.10276357557502 58 | 25.30955012311517,43.606777370293926 59 | 31.758971745148713,48.08098076643588 60 | 22.713637334632285,21.881877199619986 61 | 39.519819845795865,46.41081743059298 62 | 43.320637381368925,28.38915663596266 63 | 36.28094190643375,41.61529152967897 64 | 69.72425054911577,41.67648553804473 65 | 41.40519960161536,36.788734203737924 66 | 36.85607058124285,14.514488502720415 67 | 52.56176498949491,51.7651247794619 68 | 28.45545349848576,26.03900324858679 69 | 68.13181884524238,19.325925519992712 70 | 24.473038620786248,12.038757077738197 71 | 79.21321619603104,39.544647159412094 72 | 66.33468615779944,43.87821809211412 73 | 31.922940892050345,10.829391446392808 74 | 20.331327027416144,35.60465291496405 75 | 68.92768570729005,21.324788759896897 76 | 62.41144063085703,42.25863952047249 77 | 63.74043008245924,18.718321450249572 78 | 66.27622080115674,44.546886905123294 79 | 24.44267910404542,29.33676731502687 80 | 41.507943712656356,56.836499436836725 81 | 26.952143571507783,16.876047207299663 82 | 71.78620555253562,27.053317552512926 83 | 57.39788760965347,15.673676062029454 84 | 39.85388149115895,56.23468091392814 85 | 23.813501017161418,53.86696766904905 86 | 38.65893930293973,22.89708138575778 87 | 39.51099932160482,42.999202301708955 88 | 63.77637070028384,50.86111001006079 89 | 58.253448281312785,37.760040579973115 90 | 73.23276455457959,36.48252891780032 91 | 48.33289550971696,22.092614545022585 92 | 27.1756547562981,14.655138390294962 93 | 62.7946872333797,54.860787897666334 94 | 65.64710291701385,55.02090285816652 95 | 53.67663185416978,41.65507286366339 96 | 66.25803079727366,26.951489552435035 97 | 49.62773578186344,27.460478730633046 98 | 51.363969762919645,46.297783943511966 99 | 45.652461101512976,54.85551299762886 100 | 21.52514760464571,54.354321213255865 101 | 26.473485619598268,48.99377729288119 102 | -------------------------------------------------------------------------------- /datasets/datas(9회)/2.0.subway_test_y.csv: -------------------------------------------------------------------------------- 1 | num_people 2 | 11475 3 | 12683 4 | 11908 5 | 12953 6 | 13322 7 | 12048 8 | 12125 9 | 13194 10 | 9958 11 | 13937 12 | 12033 13 | 13048 14 | 13198 15 | 12890 16 | 13114 17 | 10841 18 | 12950 19 | 12034 20 | 13562 21 | 12198 22 | 13102 23 | 14719 24 | 15433 25 | 15006 26 | 15202 27 | 12589 28 | 11210 29 | 11081 30 | 12783 31 | 9884 32 | 13530 33 | 12130 34 | 13087 35 | 10969 36 | 13943 37 | 13375 38 | 9615 39 | 13033 40 | 12033 41 | 10394 42 | 13589 43 | 11095 44 | 12969 45 | 14107 46 | 11768 47 | 14209 48 | 14450 49 | 12205 50 | 11902 51 | 11411 52 | 13888 53 | 11633 54 | 14965 55 | 11989 56 | 11462 57 | 9842 58 | 12142 59 | 13025 60 | 13517 61 | 13468 62 | 14622 63 | 13366 64 | 16055 65 | 10707 66 | 12553 67 | 9960 68 | 15615 69 | 7947 70 | 9194 71 | 11604 72 | 14705 73 | 12898 74 | 11554 75 | 14510 76 | 11160 77 | 14220 78 | 10309 79 | 11861 80 | 12207 81 | 9735 82 | 14275 83 | 11695 84 | 12419 85 | 14011 86 | 10485 87 | 13799 88 | 15290 89 | 11518 90 | 15682 91 | 9500 92 | 12630 93 | 11757 94 | 12998 95 | 15188 96 | 15798 97 | 15717 98 | 11077 99 | 12108 100 | 12682 101 | 15102 102 | 14109 103 | 8369 104 | 15935 105 | 13278 106 | 12578 107 | 15037 108 | 14453 109 | 13455 110 | 9601 111 | 12600 112 | 14799 113 | 12220 114 | 15193 115 | 15281 116 | 14524 117 | 13841 118 | 11875 119 | 12673 120 | 11106 121 | 11797 122 | 13977 123 | 13245 124 | 13764 125 | 15066 126 | 11605 127 | 13070 128 | 11375 129 | 11636 130 | 15984 131 | 12378 132 | 15050 133 | 10967 134 | 13880 135 | 12920 136 | 14592 137 | 13255 138 | 13046 139 | 15545 140 | 11093 141 | 13042 142 | 9193 143 | 10588 144 | 13214 145 | 13403 146 | 14641 147 | 12030 148 | 10764 149 | 13095 150 | 12799 151 | 11937 152 | 8492 153 | 11121 154 | 13411 155 | 11280 156 | 14275 157 | 10641 158 | 9186 159 | 9019 160 | 10982 161 | 11190 162 | 13612 163 | 15481 164 | 13820 165 | 10165 166 | 14587 167 | 11573 168 | 11597 169 | 10147 170 | 14215 171 | 15963 172 | 8578 173 | 11151 174 | 13243 175 | 11129 176 | 13414 177 | 12158 178 | 14876 179 | 10797 180 | 13112 181 | 12894 182 | 13608 183 | 13240 184 | 12675 185 | 10576 186 | 14328 187 | 12380 188 | 10840 189 | 13240 190 | 11374 191 | 17244 192 | 12034 193 | 10748 194 | 14682 195 | 11076 196 | 13733 197 | 11253 198 | 15249 199 | 13159 200 | 12521 201 | 12992 202 | 12516 203 | 12561 204 | 14417 205 | 12253 206 | 10983 207 | 14749 208 | 14678 209 | 10761 210 | 12661 211 | 16380 212 | 14383 213 | 11573 214 | 10870 215 | 12023 216 | 13518 217 | 14962 218 | 12943 219 | 12594 220 | 11661 221 | 10808 222 | 12673 223 | 9358 224 | 14516 225 | 9366 226 | 12480 227 | 13342 228 | 14703 229 | 12867 230 | 12248 231 | 11800 232 | 10757 233 | 12226 234 | 14093 235 | 9938 236 | 12585 237 | 10923 238 | 11946 239 | 13551 240 | 11713 241 | 12619 242 | 12861 243 | 15529 244 | 12247 245 | 10206 246 | 12468 247 | 13753 248 | 11876 249 | 13495 250 | 14744 251 | 11313 252 | 14275 253 | 12506 254 | 12629 255 | 10123 256 | 13162 257 | 9780 258 | 11373 259 | 12380 260 | 12442 261 | 11629 262 | 13880 263 | 11903 264 | 7496 265 | 15053 266 | 14983 267 | 15215 268 | 12459 269 | 14384 270 | 11943 271 | 11335 272 | 13408 273 | 10797 274 | 11655 275 | 8959 276 | 13850 277 | 14724 278 | 12083 279 | 14264 280 | 11717 281 | 15514 282 | 10797 283 | 15079 284 | 14075 285 | 11905 286 | 10266 287 | 11941 288 | 12451 289 | 16030 290 | 14170 291 | 15549 292 | 13939 293 | 10220 294 | 10359 295 | 12897 296 | 13086 297 | 14988 298 | 16118 299 | 15677 300 | 14438 301 | 13811 302 | -------------------------------------------------------------------------------- /datasets/supplement/StudentsPerformance1.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AnalyticsKnight/yemoonsaBigdata/c2d7e19a53dec83f4ba9fc8d75244b67753497a9/datasets/supplement/StudentsPerformance1.csv -------------------------------------------------------------------------------- /datasets/supplement/StudentsPerformance2.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AnalyticsKnight/yemoonsaBigdata/c2d7e19a53dec83f4ba9fc8d75244b67753497a9/datasets/supplement/StudentsPerformance2.csv -------------------------------------------------------------------------------- /datasets/supplement/airquality.csv: -------------------------------------------------------------------------------- 1 | Ozone,Solar.R,Wind,Temp,Month,Day 2 | 41,190,7.4,67,5,1 3 | 36,118,8,72,5,2 4 | 12,149,12.6,74,5,3 5 | 18,313,11.5,62,5,4 6 | NA,NA,14.3,56,5,5 7 | 28,NA,14.9,66,5,6 8 | 23,299,8.6,65,5,7 9 | 19,99,13.8,59,5,8 10 | 8,19,20.1,61,5,9 11 | NA,194,8.6,69,5,10 12 | 7,NA,6.9,74,5,11 13 | 16,256,9.7,69,5,12 14 | 11,290,9.2,66,5,13 15 | 14,274,10.9,68,5,14 16 | 18,65,13.2,58,5,15 17 | 14,334,11.5,64,5,16 18 | 34,307,12,66,5,17 19 | 6,78,18.4,57,5,18 20 | 30,322,11.5,68,5,19 21 | 11,44,9.7,62,5,20 22 | 1,8,9.7,59,5,21 23 | 11,320,16.6,73,5,22 24 | 4,25,9.7,61,5,23 25 | 32,92,12,61,5,24 26 | NA,66,16.6,57,5,25 27 | NA,266,14.9,58,5,26 28 | NA,NA,8,57,5,27 29 | 23,13,12,67,5,28 30 | 45,252,14.9,81,5,29 31 | 115,223,5.7,79,5,30 32 | 37,279,7.4,76,5,31 33 | NA,286,8.6,78,6,1 34 | NA,287,9.7,74,6,2 35 | NA,242,16.1,67,6,3 36 | NA,186,9.2,84,6,4 37 | NA,220,8.6,85,6,5 38 | NA,264,14.3,79,6,6 39 | 29,127,9.7,82,6,7 40 | NA,273,6.9,87,6,8 41 | 71,291,13.8,90,6,9 42 | 39,323,11.5,87,6,10 43 | NA,259,10.9,93,6,11 44 | NA,250,9.2,92,6,12 45 | 23,148,8,82,6,13 46 | NA,332,13.8,80,6,14 47 | NA,322,11.5,79,6,15 48 | 21,191,14.9,77,6,16 49 | 37,284,20.7,72,6,17 50 | 20,37,9.2,65,6,18 51 | 12,120,11.5,73,6,19 52 | 13,137,10.3,76,6,20 53 | NA,150,6.3,77,6,21 54 | NA,59,1.7,76,6,22 55 | NA,91,4.6,76,6,23 56 | NA,250,6.3,76,6,24 57 | NA,135,8,75,6,25 58 | NA,127,8,78,6,26 59 | NA,47,10.3,73,6,27 60 | NA,98,11.5,80,6,28 61 | NA,31,14.9,77,6,29 62 | NA,138,8,83,6,30 63 | 135,269,4.1,84,7,1 64 | 49,248,9.2,85,7,2 65 | 32,236,9.2,81,7,3 66 | NA,101,10.9,84,7,4 67 | 64,175,4.6,83,7,5 68 | 40,314,10.9,83,7,6 69 | 77,276,5.1,88,7,7 70 | 97,267,6.3,92,7,8 71 | 97,272,5.7,92,7,9 72 | 85,175,7.4,89,7,10 73 | NA,139,8.6,82,7,11 74 | 10,264,14.3,73,7,12 75 | 27,175,14.9,81,7,13 76 | NA,291,14.9,91,7,14 77 | 7,48,14.3,80,7,15 78 | 48,260,6.9,81,7,16 79 | 35,274,10.3,82,7,17 80 | 61,285,6.3,84,7,18 81 | 79,187,5.1,87,7,19 82 | 63,220,11.5,85,7,20 83 | 16,7,6.9,74,7,21 84 | NA,258,9.7,81,7,22 85 | NA,295,11.5,82,7,23 86 | 80,294,8.6,86,7,24 87 | 108,223,8,85,7,25 88 | 20,81,8.6,82,7,26 89 | 52,82,12,86,7,27 90 | 82,213,7.4,88,7,28 91 | 50,275,7.4,86,7,29 92 | 64,253,7.4,83,7,30 93 | 59,254,9.2,81,7,31 94 | 39,83,6.9,81,8,1 95 | 9,24,13.8,81,8,2 96 | 16,77,7.4,82,8,3 97 | 78,NA,6.9,86,8,4 98 | 35,NA,7.4,85,8,5 99 | 66,NA,4.6,87,8,6 100 | 122,255,4,89,8,7 101 | 89,229,10.3,90,8,8 102 | 110,207,8,90,8,9 103 | NA,222,8.6,92,8,10 104 | NA,137,11.5,86,8,11 105 | 44,192,11.5,86,8,12 106 | 28,273,11.5,82,8,13 107 | 65,157,9.7,80,8,14 108 | NA,64,11.5,79,8,15 109 | 22,71,10.3,77,8,16 110 | 59,51,6.3,79,8,17 111 | 23,115,7.4,76,8,18 112 | 31,244,10.9,78,8,19 113 | 44,190,10.3,78,8,20 114 | 21,259,15.5,77,8,21 115 | 9,36,14.3,72,8,22 116 | NA,255,12.6,75,8,23 117 | 45,212,9.7,79,8,24 118 | 168,238,3.4,81,8,25 119 | 73,215,8,86,8,26 120 | NA,153,5.7,88,8,27 121 | 76,203,9.7,97,8,28 122 | 118,225,2.3,94,8,29 123 | 84,237,6.3,96,8,30 124 | 85,188,6.3,94,8,31 125 | 96,167,6.9,91,9,1 126 | 78,197,5.1,92,9,2 127 | 73,183,2.8,93,9,3 128 | 91,189,4.6,93,9,4 129 | 47,95,7.4,87,9,5 130 | 32,92,15.5,84,9,6 131 | 20,252,10.9,80,9,7 132 | 23,220,10.3,78,9,8 133 | 21,230,10.9,75,9,9 134 | 24,259,9.7,73,9,10 135 | 44,236,14.9,81,9,11 136 | 21,259,15.5,76,9,12 137 | 28,238,6.3,77,9,13 138 | 9,24,10.9,71,9,14 139 | 13,112,11.5,71,9,15 140 | 46,237,6.9,78,9,16 141 | 18,224,13.8,67,9,17 142 | 13,27,10.3,76,9,18 143 | 24,238,10.3,68,9,19 144 | 16,201,8,82,9,20 145 | 13,238,12.6,64,9,21 146 | 23,14,9.2,71,9,22 147 | 36,139,10.3,81,9,23 148 | 7,49,10.3,69,9,24 149 | 14,20,16.6,63,9,25 150 | 30,193,6.9,70,9,26 151 | NA,145,13.2,77,9,27 152 | 14,191,14.3,75,9,28 153 | 18,131,8,76,9,29 154 | 20,223,11.5,68,9,30 155 | -------------------------------------------------------------------------------- /datasets/supplement/cellphone.csv: -------------------------------------------------------------------------------- 1 | id,제조사 2 | 1,삼성 3 | 2,애플 4 | 3,삼성 5 | 4,애플 6 | 5,애플 7 | 6,애플 8 | 7,애플 9 | 8,애플 10 | 9,애플 11 | 10,애플 12 | 11,삼성 13 | 12,삼성 14 | 13,삼성 15 | 14,삼성 16 | 15,삼성 17 | 16,삼성 18 | 17,삼성 19 | 18,삼성 20 | 19,삼성 21 | 20,삼성 22 | 21,삼성 23 | 22,삼성 24 | 23,삼성 25 | 24,삼성 26 | 25,삼성 27 | 26,삼성 28 | 27,삼성 29 | 28,애플 30 | 29,삼성 31 | 30,삼성 32 | 31,삼성 33 | 32,삼성 34 | 33,삼성 35 | 34,삼성 36 | 35,애플 37 | 36,애플 38 | 37,삼성 39 | 38,삼성 40 | 39,애플 41 | 40,삼성 42 | 41,삼성 43 | 42,삼성 44 | 43,삼성 45 | 44,삼성 46 | 45,삼성 47 | 46,삼성 48 | 47,삼성 49 | 48,삼성 50 | 49,삼성 51 | 50,삼성 52 | 51,애플 53 | 52,삼성 54 | 53,삼성 55 | 54,애플 56 | 55,애플 57 | 56,삼성 58 | 57,삼성 59 | 58,삼성 60 | 59,애플 61 | 60,애플 62 | 61,삼성 63 | 62,애플 64 | 63,애플 65 | 64,애플 66 | 65,삼성 67 | 66,삼성 68 | 67,삼성 69 | 68,삼성 70 | 69,삼성 71 | 70,삼성 72 | 71,삼성 73 | 72,삼성 74 | 73,애플 75 | 74,애플 76 | 75,애플 77 | 76,애플 78 | 77,애플 79 | 78,애플 80 | 79,삼성 81 | 80,삼성 82 | 81,삼성 83 | 82,삼성 84 | 83,삼성 85 | 84,삼성 86 | 85,삼성 87 | 86,삼성 88 | 87,삼성 89 | 88,애플 90 | 89,애플 91 | 90,애플 92 | 91,애플 93 | 92,애플 94 | 93,애플 95 | 94,애플 96 | 95,애플 97 | 96,애플 98 | 97,애플 99 | 98,애플 100 | 99,애플 101 | 100,애플 102 | 101,애플 103 | 102,애플 104 | 103,애플 105 | 104,애플 106 | 105,애플 107 | 106,삼성 108 | 107,삼성 109 | 108,삼성 110 | 109,삼성 111 | 110,삼성 112 | 111,삼성 113 | 112,삼성 114 | 113,삼성 115 | 114,삼성 116 | 115,애플 117 | 116,기타 118 | 117,삼성 119 | 118,삼성 120 | 119,삼성 121 | 120,삼성 122 | 121,삼성 123 | 122,애플 124 | 123,애플 125 | 124,기타 126 | 125,삼성 127 | 126,애플 128 | 127,애플 129 | 128,애플 130 | 129,애플 131 | 130,애플 132 | 131,애플 133 | 132,애플 134 | 133,애플 135 | 134,삼성 136 | 135,삼성 137 | 136,애플 138 | 137,삼성 139 | 138,삼성 140 | 139,삼성 141 | 140,삼성 142 | 141,삼성 143 | 142,애플 144 | 143,애플 145 | 144,삼성 146 | 145,삼성 147 | 146,삼성 148 | 147,삼성 149 | 148,삼성 150 | 149,애플 151 | 150,기타 152 | 151,애플 153 | 152,애플 154 | 153,애플 155 | 154,애플 156 | 155,애플 157 | 156,애플 158 | 157,애플 159 | 158,삼성 160 | 159,삼성 161 | 160,애플 162 | 161,삼성 163 | 162,기타 164 | 163,삼성 165 | 164,기타 166 | 165,애플 167 | 166,삼성 168 | 167,삼성 169 | 168,삼성 170 | 169,삼성 171 | 170,삼성 172 | 171,애플 173 | 172,삼성 174 | 173,삼성 175 | 174,삼성 176 | 175,애플 177 | 176,애플 178 | 177,삼성 179 | 178,삼성 180 | 179,삼성 181 | 180,삼성 182 | 181,삼성 183 | 182,삼성 184 | 183,삼성 185 | 184,삼성 186 | 185,애플 187 | 186,애플 188 | 187,애플 189 | 188,애플 190 | 189,삼성 191 | 190,삼성 192 | 191,삼성 193 | 192,삼성 194 | 193,삼성 195 | 194,애플 196 | 195,삼성 197 | 196,삼성 198 | 197,삼성 199 | 198,삼성 200 | 199,애플 201 | 200,애플 -------------------------------------------------------------------------------- /datasets/supplement/chickweight.csv: -------------------------------------------------------------------------------- 1 | weight,Diet 2 | 42,1 3 | 51,1 4 | 59,1 5 | 64,1 6 | 76,1 7 | 93,1 8 | 106,1 9 | 125,1 10 | 149,1 11 | 171,1 12 | 199,1 13 | 205,1 14 | 40,1 15 | 49,1 16 | 58,1 17 | 72,1 18 | 84,1 19 | 103,1 20 | 122,1 21 | 138,1 22 | 162,1 23 | 187,1 24 | 209,1 25 | 215,1 26 | 43,1 27 | 39,1 28 | 55,1 29 | 67,1 30 | 84,1 31 | 99,1 32 | 115,1 33 | 138,1 34 | 163,1 35 | 187,1 36 | 198,1 37 | 202,1 38 | 42,1 39 | 49,1 40 | 56,1 41 | 67,1 42 | 74,1 43 | 87,1 44 | 102,1 45 | 108,1 46 | 136,1 47 | 154,1 48 | 160,1 49 | 157,1 50 | 41,1 51 | 42,1 52 | 48,1 53 | 60,1 54 | 79,1 55 | 106,1 56 | 141,1 57 | 164,1 58 | 197,1 59 | 199,1 60 | 220,1 61 | 223,1 62 | 41,1 63 | 49,1 64 | 59,1 65 | 74,1 66 | 97,1 67 | 124,1 68 | 141,1 69 | 148,1 70 | 155,1 71 | 160,1 72 | 160,1 73 | 157,1 74 | 41,1 75 | 49,1 76 | 57,1 77 | 71,1 78 | 89,1 79 | 112,1 80 | 146,1 81 | 174,1 82 | 218,1 83 | 250,1 84 | 288,1 85 | 305,1 86 | 42,1 87 | 50,1 88 | 61,1 89 | 71,1 90 | 84,1 91 | 93,1 92 | 110,1 93 | 116,1 94 | 126,1 95 | 134,1 96 | 125,1 97 | 42,1 98 | 51,1 99 | 59,1 100 | 68,1 101 | 85,1 102 | 96,1 103 | 90,1 104 | 92,1 105 | 93,1 106 | 100,1 107 | 100,1 108 | 98,1 109 | 41,1 110 | 44,1 111 | 52,1 112 | 63,1 113 | 74,1 114 | 81,1 115 | 89,1 116 | 96,1 117 | 101,1 118 | 112,1 119 | 120,1 120 | 124,1 121 | 43,1 122 | 51,1 123 | 63,1 124 | 84,1 125 | 112,1 126 | 139,1 127 | 168,1 128 | 177,1 129 | 182,1 130 | 184,1 131 | 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39,2 307 | 46,2 308 | 58,2 309 | 73,2 310 | 92,2 311 | 114,2 312 | 145,2 313 | 156,2 314 | 184,2 315 | 207,2 316 | 212,2 317 | 233,2 318 | 39,2 319 | 48,2 320 | 59,2 321 | 74,2 322 | 87,2 323 | 106,2 324 | 134,2 325 | 150,2 326 | 187,2 327 | 230,2 328 | 279,2 329 | 309,2 330 | 42,2 331 | 48,2 332 | 59,2 333 | 72,2 334 | 85,2 335 | 98,2 336 | 115,2 337 | 122,2 338 | 143,2 339 | 151,2 340 | 157,2 341 | 150,2 342 | 42,3 343 | 53,3 344 | 62,3 345 | 73,3 346 | 85,3 347 | 102,3 348 | 123,3 349 | 138,3 350 | 170,3 351 | 204,3 352 | 235,3 353 | 256,3 354 | 41,3 355 | 49,3 356 | 65,3 357 | 82,3 358 | 107,3 359 | 129,3 360 | 159,3 361 | 179,3 362 | 221,3 363 | 263,3 364 | 291,3 365 | 305,3 366 | 39,3 367 | 50,3 368 | 63,3 369 | 77,3 370 | 96,3 371 | 111,3 372 | 137,3 373 | 144,3 374 | 151,3 375 | 146,3 376 | 156,3 377 | 147,3 378 | 41,3 379 | 49,3 380 | 63,3 381 | 85,3 382 | 107,3 383 | 134,3 384 | 164,3 385 | 186,3 386 | 235,3 387 | 294,3 388 | 327,3 389 | 341,3 390 | 41,3 391 | 53,3 392 | 64,3 393 | 87,3 394 | 123,3 395 | 158,3 396 | 201,3 397 | 238,3 398 | 287,3 399 | 332,3 400 | 361,3 401 | 373,3 402 | 39,3 403 | 48,3 404 | 61,3 405 | 76,3 406 | 98,3 407 | 116,3 408 | 145,3 409 | 166,3 410 | 198,3 411 | 227,3 412 | 225,3 413 | 220,3 414 | 41,3 415 | 48,3 416 | 56,3 417 | 68,3 418 | 80,3 419 | 83,3 420 | 103,3 421 | 112,3 422 | 135,3 423 | 157,3 424 | 169,3 425 | 178,3 426 | 41,3 427 | 49,3 428 | 61,3 429 | 74,3 430 | 98,3 431 | 109,3 432 | 128,3 433 | 154,3 434 | 192,3 435 | 232,3 436 | 280,3 437 | 290,3 438 | 42,3 439 | 50,3 440 | 61,3 441 | 78,3 442 | 89,3 443 | 109,3 444 | 130,3 445 | 146,3 446 | 170,3 447 | 214,3 448 | 250,3 449 | 272,3 450 | 41,3 451 | 55,3 452 | 66,3 453 | 79,3 454 | 101,3 455 | 120,3 456 | 154,3 457 | 182,3 458 | 215,3 459 | 262,3 460 | 295,3 461 | 321,3 462 | 42,4 463 | 51,4 464 | 66,4 465 | 85,4 466 | 103,4 467 | 124,4 468 | 155,4 469 | 153,4 470 | 175,4 471 | 184,4 472 | 199,4 473 | 204,4 474 | 42,4 475 | 49,4 476 | 63,4 477 | 84,4 478 | 103,4 479 | 126,4 480 | 160,4 481 | 174,4 482 | 204,4 483 | 234,4 484 | 269,4 485 | 281,4 486 | 42,4 487 | 55,4 488 | 69,4 489 | 96,4 490 | 131,4 491 | 157,4 492 | 184,4 493 | 188,4 494 | 197,4 495 | 198,4 496 | 199,4 497 | 200,4 498 | 42,4 499 | 51,4 500 | 65,4 501 | 86,4 502 | 103,4 503 | 118,4 504 | 127,4 505 | 138,4 506 | 145,4 507 | 146,4 508 | 41,4 509 | 50,4 510 | 61,4 511 | 78,4 512 | 98,4 513 | 117,4 514 | 135,4 515 | 141,4 516 | 147,4 517 | 174,4 518 | 197,4 519 | 196,4 520 | 40,4 521 | 52,4 522 | 62,4 523 | 82,4 524 | 101,4 525 | 120,4 526 | 144,4 527 | 156,4 528 | 173,4 529 | 210,4 530 | 231,4 531 | 238,4 532 | 41,4 533 | 53,4 534 | 66,4 535 | 79,4 536 | 100,4 537 | 123,4 538 | 148,4 539 | 157,4 540 | 168,4 541 | 185,4 542 | 210,4 543 | 205,4 544 | 39,4 545 | 50,4 546 | 62,4 547 | 80,4 548 | 104,4 549 | 125,4 550 | 154,4 551 | 170,4 552 | 222,4 553 | 261,4 554 | 303,4 555 | 322,4 556 | 40,4 557 | 53,4 558 | 64,4 559 | 85,4 560 | 108,4 561 | 128,4 562 | 152,4 563 | 166,4 564 | 184,4 565 | 203,4 566 | 233,4 567 | 237,4 568 | 41,4 569 | 54,4 570 | 67,4 571 | 84,4 572 | 105,4 573 | 122,4 574 | 155,4 575 | 175,4 576 | 205,4 577 | 234,4 578 | 264,4 579 | 264,4 580 | -------------------------------------------------------------------------------- /datasets/supplement/insectsprays.csv: -------------------------------------------------------------------------------- 1 | before_spr,after_spr 2 | 10,0 3 | 7,1 4 | 20,7 5 | 14,2 6 | 14,3 7 | 12,1 8 | 10,2 9 | 23,1 10 | 17,3 11 | 20,0 12 | 14,1 13 | 13,4 14 | 11,3 15 | 17,5 16 | 21,12 17 | 11,6 18 | 16,4 19 | 14,3 20 | 17,5 21 | 17,5 22 | 19,5 23 | 21,5 24 | 7,2 25 | 13,4 26 | 11,3 27 | 9,5 28 | 15,3 29 | 22,5 30 | 15,3 31 | 16,6 32 | 13,1 33 | 10,1 34 | 26,3 35 | 26,2 36 | 24,6 37 | 13,4 38 | -------------------------------------------------------------------------------- /datasets/supplement/iris.csv: -------------------------------------------------------------------------------- 1 | sepal_length,sepal_width,petal_length,petal_width,species 2 | 5.1,3.5,1.4,0.2,setosa 3 | 4.9,3,1.4,0.2,setosa 4 | 4.7,3.2,1.3,0.2,setosa 5 | 4.6,3.1,1.5,0.2,setosa 6 | 5,3.6,1.4,0.2,setosa 7 | 5.4,3.9,1.7,0.4,setosa 8 | 4.6,3.4,1.4,0.3,setosa 9 | 5,3.4,1.5,0.2,setosa 10 | 4.4,2.9,1.4,0.2,setosa 11 | 4.9,3.1,1.5,0.1,setosa 12 | 5.4,3.7,1.5,0.2,setosa 13 | 4.8,3.4,1.6,0.2,setosa 14 | 4.8,3,1.4,0.1,setosa 15 | 4.3,3,1.1,0.1,setosa 16 | 5.8,4,1.2,0.2,setosa 17 | 5.7,4.4,1.5,0.4,setosa 18 | 5.4,3.9,1.3,0.4,setosa 19 | 5.1,3.5,1.4,0.3,setosa 20 | 5.7,3.8,1.7,0.3,setosa 21 | 5.1,3.8,1.5,0.3,setosa 22 | 5.4,3.4,1.7,0.2,setosa 23 | 5.1,3.7,1.5,0.4,setosa 24 | 4.6,3.6,1,0.2,setosa 25 | 5.1,3.3,1.7,0.5,setosa 26 | 4.8,3.4,1.9,0.2,setosa 27 | 5,3,1.6,0.2,setosa 28 | 5,3.4,1.6,0.4,setosa 29 | 5.2,3.5,1.5,0.2,setosa 30 | 5.2,3.4,1.4,0.2,setosa 31 | 4.7,3.2,1.6,0.2,setosa 32 | 4.8,3.1,1.6,0.2,setosa 33 | 5.4,3.4,1.5,0.4,setosa 34 | 5.2,4.1,1.5,0.1,setosa 35 | 5.5,4.2,1.4,0.2,setosa 36 | 4.9,3.1,1.5,0.2,setosa 37 | 5,3.2,1.2,0.2,setosa 38 | 5.5,3.5,1.3,0.2,setosa 39 | 4.9,3.6,1.4,0.1,setosa 40 | 4.4,3,1.3,0.2,setosa 41 | 5.1,3.4,1.5,0.2,setosa 42 | 5,3.5,1.3,0.3,setosa 43 | 4.5,2.3,1.3,0.3,setosa 44 | 4.4,3.2,1.3,0.2,setosa 45 | 5,3.5,1.6,0.6,setosa 46 | 5.1,3.8,1.9,0.4,setosa 47 | 4.8,3,1.4,0.3,setosa 48 | 5.1,3.8,1.6,0.2,setosa 49 | 4.6,3.2,1.4,0.2,setosa 50 | 5.3,3.7,1.5,0.2,setosa 51 | 5,3.3,1.4,0.2,setosa 52 | 7,3.2,4.7,1.4,versicolor 53 | 6.4,3.2,4.5,1.5,versicolor 54 | 6.9,3.1,4.9,1.5,versicolor 55 | 5.5,2.3,4,1.3,versicolor 56 | 6.5,2.8,4.6,1.5,versicolor 57 | 5.7,2.8,4.5,1.3,versicolor 58 | 6.3,3.3,4.7,1.6,versicolor 59 | 4.9,2.4,3.3,1,versicolor 60 | 6.6,2.9,4.6,1.3,versicolor 61 | 5.2,2.7,3.9,1.4,versicolor 62 | 5,2,3.5,1,versicolor 63 | 5.9,3,4.2,1.5,versicolor 64 | 6,2.2,4,1,versicolor 65 | 6.1,2.9,4.7,1.4,versicolor 66 | 5.6,2.9,3.6,1.3,versicolor 67 | 6.7,3.1,4.4,1.4,versicolor 68 | 5.6,3,4.5,1.5,versicolor 69 | 5.8,2.7,4.1,1,versicolor 70 | 6.2,2.2,4.5,1.5,versicolor 71 | 5.6,2.5,3.9,1.1,versicolor 72 | 5.9,3.2,4.8,1.8,versicolor 73 | 6.1,2.8,4,1.3,versicolor 74 | 6.3,2.5,4.9,1.5,versicolor 75 | 6.1,2.8,4.7,1.2,versicolor 76 | 6.4,2.9,4.3,1.3,versicolor 77 | 6.6,3,4.4,1.4,versicolor 78 | 6.8,2.8,4.8,1.4,versicolor 79 | 6.7,3,5,1.7,versicolor 80 | 6,2.9,4.5,1.5,versicolor 81 | 5.7,2.6,3.5,1,versicolor 82 | 5.5,2.4,3.8,1.1,versicolor 83 | 5.5,2.4,3.7,1,versicolor 84 | 5.8,2.7,3.9,1.2,versicolor 85 | 6,2.7,5.1,1.6,versicolor 86 | 5.4,3,4.5,1.5,versicolor 87 | 6,3.4,4.5,1.6,versicolor 88 | 6.7,3.1,4.7,1.5,versicolor 89 | 6.3,2.3,4.4,1.3,versicolor 90 | 5.6,3,4.1,1.3,versicolor 91 | 5.5,2.5,4,1.3,versicolor 92 | 5.5,2.6,4.4,1.2,versicolor 93 | 6.1,3,4.6,1.4,versicolor 94 | 5.8,2.6,4,1.2,versicolor 95 | 5,2.3,3.3,1,versicolor 96 | 5.6,2.7,4.2,1.3,versicolor 97 | 5.7,3,4.2,1.2,versicolor 98 | 5.7,2.9,4.2,1.3,versicolor 99 | 6.2,2.9,4.3,1.3,versicolor 100 | 5.1,2.5,3,1.1,versicolor 101 | 5.7,2.8,4.1,1.3,versicolor 102 | 6.3,3.3,6,2.5,virginica 103 | 5.8,2.7,5.1,1.9,virginica 104 | 7.1,3,5.9,2.1,virginica 105 | 6.3,2.9,5.6,1.8,virginica 106 | 6.5,3,5.8,2.2,virginica 107 | 7.6,3,6.6,2.1,virginica 108 | 4.9,2.5,4.5,1.7,virginica 109 | 7.3,2.9,6.3,1.8,virginica 110 | 6.7,2.5,5.8,1.8,virginica 111 | 7.2,3.6,6.1,2.5,virginica 112 | 6.5,3.2,5.1,2,virginica 113 | 6.4,2.7,5.3,1.9,virginica 114 | 6.8,3,5.5,2.1,virginica 115 | 5.7,2.5,5,2,virginica 116 | 5.8,2.8,5.1,2.4,virginica 117 | 6.4,3.2,5.3,2.3,virginica 118 | 6.5,3,5.5,1.8,virginica 119 | 7.7,3.8,6.7,2.2,virginica 120 | 7.7,2.6,6.9,2.3,virginica 121 | 6,2.2,5,1.5,virginica 122 | 6.9,3.2,5.7,2.3,virginica 123 | 5.6,2.8,4.9,2,virginica 124 | 7.7,2.8,6.7,2,virginica 125 | 6.3,2.7,4.9,1.8,virginica 126 | 6.7,3.3,5.7,2.1,virginica 127 | 7.2,3.2,6,1.8,virginica 128 | 6.2,2.8,4.8,1.8,virginica 129 | 6.1,3,4.9,1.8,virginica 130 | 6.4,2.8,5.6,2.1,virginica 131 | 7.2,3,5.8,1.6,virginica 132 | 7.4,2.8,6.1,1.9,virginica 133 | 7.9,3.8,6.4,2,virginica 134 | 6.4,2.8,5.6,2.2,virginica 135 | 6.3,2.8,5.1,1.5,virginica 136 | 6.1,2.6,5.6,1.4,virginica 137 | 7.7,3,6.1,2.3,virginica 138 | 6.3,3.4,5.6,2.4,virginica 139 | 6.4,3.1,5.5,1.8,virginica 140 | 6,3,4.8,1.8,virginica 141 | 6.9,3.1,5.4,2.1,virginica 142 | 6.7,3.1,5.6,2.4,virginica 143 | 6.9,3.1,5.1,2.3,virginica 144 | 5.8,2.7,5.1,1.9,virginica 145 | 6.8,3.2,5.9,2.3,virginica 146 | 6.7,3.3,5.7,2.5,virginica 147 | 6.7,3,5.2,2.3,virginica 148 | 6.3,2.5,5,1.9,virginica 149 | 6.5,3,5.2,2,virginica 150 | 6.2,3.4,5.4,2.3,virginica 151 | 5.9,3,5.1,1.8,virginica -------------------------------------------------------------------------------- /datasets/supplement/student.csv: -------------------------------------------------------------------------------- 1 | ID,단과대학,수강 과목 수 2 | 1,경영대학,4개 이하 3 | 2,경영대학,4개 이하 4 | 3,경영대학,4개 이하 5 | 4,경영대학,4개 이하 6 | 5,경영대학,4개 이하 7 | 6,경영대학,4개 이하 8 | 7,경영대학,4개 이하 9 | 8,경영대학,4개 이하 10 | 9,경영대학,4개 이하 11 | 10,경영대학,4개 이하 12 | 11,경영대학,4개 이하 13 | 12,경영대학,4개 이하 14 | 13,경영대학,5개 15 | 14,경영대학,5개 16 | 15,경영대학,5개 17 | 16,경영대학,5개 18 | 17,경영대학,5개 19 | 18,경영대학,5개 20 | 19,경영대학,5개 21 | 20,경영대학,5개 22 | 21,경영대학,5개 23 | 22,경영대학,5개 24 | 23,경영대학,5개 25 | 24,경영대학,5개 26 | 25,경영대학,5개 27 | 26,경영대학,5개 28 | 27,경영대학,5개 29 | 28,경영대학,5개 30 | 29,경영대학,5개 31 | 30,경영대학,5개 32 | 31,경영대학,5개 33 | 32,경영대학,5개 34 | 33,경영대학,5개 35 | 34,경영대학,5개 36 | 35,경영대학,5개 37 | 36,경영대학,5개 38 | 37,경영대학,5개 39 | 38,경영대학,5개 40 | 39,경영대학,5개 41 | 40,경영대학,5개 42 | 41,경영대학,5개 43 | 42,경영대학,5개 44 | 43,경영대학,5개 45 | 44,경영대학,5개 46 | 45,경영대학,5개 47 | 46,경영대학,5개 48 | 47,경영대학,5개 49 | 48,경영대학,5개 50 | 49,경영대학,5개 51 | 50,경영대학,5개 52 | 51,경영대학,5개 53 | 52,경영대학,5개 54 | 53,경영대학,5개 55 | 54,경영대학,5개 56 | 55,경영대학,5개 57 | 56,경영대학,5개 58 | 57,경영대학,5개 59 | 58,경영대학,5개 60 | 59,경영대학,5개 61 | 60,경영대학,5개 62 | 61,경영대학,5개 63 | 62,경영대학,5개 64 | 63,경영대학,5개 65 | 64,경영대학,5개 66 | 65,경영대학,5개 67 | 66,경영대학,5개 68 | 67,경영대학,5개 69 | 68,경영대학,5개 70 | 69,경영대학,5개 71 | 70,경영대학,5개 72 | 71,경영대학,5개 73 | 72,경영대학,5개 74 | 73,경영대학,5개 75 | 74,경영대학,5개 76 | 75,경영대학,5개 77 | 76,경영대학,5개 78 | 77,경영대학,5개 79 | 78,경영대학,5개 80 | 79,경영대학,5개 81 | 80,경영대학,5개 82 | 81,경영대학,5개 83 | 82,경영대학,5개 84 | 83,경영대학,5개 85 | 84,경영대학,5개 86 | 85,경영대학,5개 87 | 86,경영대학,5개 88 | 87,경영대학,5개 89 | 88,경영대학,5개 90 | 89,경영대학,5개 91 | 90,경영대학,5개 92 | 91,경영대학,6개 이상 93 | 92,경영대학,6개 이상 94 | 93,경영대학,6개 이상 95 | 94,경영대학,6개 이상 96 | 95,경영대학,6개 이상 97 | 96,경영대학,6개 이상 98 | 97,경영대학,6개 이상 99 | 98,경영대학,6개 이상 100 | 99,경영대학,6개 이상 101 | 100,경영대학,6개 이상 102 | 101,경영대학,6개 이상 103 | 102,경영대학,6개 이상 104 | 103,경영대학,6개 이상 105 | 104,경영대학,6개 이상 106 | 105,경영대학,6개 이상 107 | 106,경영대학,6개 이상 108 | 107,경영대학,6개 이상 109 | 108,경영대학,6개 이상 110 | 109,경영대학,6개 이상 111 | 110,경영대학,6개 이상 112 | 111,경영대학,6개 이상 113 | 112,경영대학,6개 이상 114 | 113,경영대학,6개 이상 115 | 114,경영대학,6개 이상 116 | 115,경영대학,6개 이상 117 | 116,경영대학,6개 이상 118 | 117,경영대학,6개 이상 119 | 118,경영대학,6개 이상 120 | 119,경영대학,6개 이상 121 | 120,경영대학,6개 이상 122 | 121,자연대학,4개 이하 123 | 122,자연대학,4개 이하 124 | 123,자연대학,4개 이하 125 | 124,자연대학,4개 이하 126 | 125,자연대학,4개 이하 127 | 126,자연대학,4개 이하 128 | 127,자연대학,4개 이하 129 | 128,자연대학,4개 이하 130 | 129,자연대학,4개 이하 131 | 130,자연대학,4개 이하 132 | 131,자연대학,4개 이하 133 | 132,자연대학,4개 이하 134 | 133,자연대학,4개 이하 135 | 134,자연대학,4개 이하 136 | 135,자연대학,4개 이하 137 | 136,자연대학,4개 이하 138 | 137,자연대학,4개 이하 139 | 138,자연대학,4개 이하 140 | 139,자연대학,4개 이하 141 | 140,자연대학,4개 이하 142 | 141,자연대학,4개 이하 143 | 142,자연대학,4개 이하 144 | 143,자연대학,4개 이하 145 | 144,자연대학,4개 이하 146 | 145,자연대학,4개 이하 147 | 146,자연대학,4개 이하 148 | 147,자연대학,4개 이하 149 | 148,자연대학,4개 이하 150 | 149,자연대학,4개 이하 151 | 150,자연대학,4개 이하 152 | 151,자연대학,5개 153 | 152,자연대학,5개 154 | 153,자연대학,5개 155 | 154,자연대학,5개 156 | 155,자연대학,5개 157 | 156,자연대학,5개 158 | 157,자연대학,5개 159 | 158,자연대학,5개 160 | 159,자연대학,5개 161 | 160,자연대학,5개 162 | 161,자연대학,5개 163 | 162,자연대학,5개 164 | 163,자연대학,5개 165 | 164,자연대학,5개 166 | 165,자연대학,5개 167 | 166,자연대학,5개 168 | 167,자연대학,5개 169 | 168,자연대학,5개 170 | 169,자연대학,5개 171 | 170,자연대학,5개 172 | 171,자연대학,5개 173 | 172,자연대학,5개 174 | 173,자연대학,5개 175 | 174,자연대학,5개 176 | 175,자연대학,5개 177 | 176,자연대학,5개 178 | 177,자연대학,5개 179 | 178,자연대학,5개 180 | 179,자연대학,5개 181 | 180,자연대학,5개 182 | 181,자연대학,5개 183 | 182,자연대학,5개 184 | 183,자연대학,5개 185 | 184,자연대학,5개 186 | 185,자연대학,5개 187 | 186,자연대학,5개 188 | 187,자연대학,5개 189 | 188,자연대학,5개 190 | 189,자연대학,5개 191 | 190,자연대학,5개 192 | 191,자연대학,5개 193 | 192,자연대학,5개 194 | 193,자연대학,6개 이상 195 | 194,자연대학,6개 이상 196 | 195,자연대학,6개 이상 197 | 196,자연대학,6개 이상 198 | 197,자연대학,6개 이상 199 | 198,자연대학,6개 이상 200 | 199,자연대학,6개 이상 201 | 200,자연대학,6개 이상 202 | 201,공과대학,4개 이하 203 | 202,공과대학,4개 이하 204 | 203,공과대학,4개 이하 205 | 204,공과대학,4개 이하 206 | 205,공과대학,4개 이하 207 | 206,공과대학,4개 이하 208 | 207,공과대학,4개 이하 209 | 208,공과대학,4개 이하 210 | 209,공과대학,4개 이하 211 | 210,공과대학,4개 이하 212 | 211,공과대학,4개 이하 213 | 212,공과대학,4개 이하 214 | 213,공과대학,4개 이하 215 | 214,공과대학,4개 이하 216 | 215,공과대학,4개 이하 217 | 216,공과대학,4개 이하 218 | 217,공과대학,4개 이하 219 | 218,공과대학,4개 이하 220 | 219,공과대학,4개 이하 221 | 220,공과대학,4개 이하 222 | 221,공과대학,4개 이하 223 | 222,공과대학,4개 이하 224 | 223,공과대학,4개 이하 225 | 224,공과대학,4개 이하 226 | 225,공과대학,4개 이하 227 | 226,공과대학,4개 이하 228 | 227,공과대학,4개 이하 229 | 228,공과대학,4개 이하 230 | 229,공과대학,4개 이하 231 | 230,공과대학,4개 이하 232 | 231,공과대학,5개 233 | 232,공과대학,5개 234 | 233,공과대학,5개 235 | 234,공과대학,5개 236 | 235,공과대학,5개 237 | 236,공과대학,5개 238 | 237,공과대학,5개 239 | 238,공과대학,5개 240 | 239,공과대학,5개 241 | 240,공과대학,5개 242 | 241,공과대학,5개 243 | 242,공과대학,5개 244 | 243,공과대학,5개 245 | 244,공과대학,5개 246 | 245,공과대학,5개 247 | 246,공과대학,5개 248 | 247,공과대학,5개 249 | 248,공과대학,5개 250 | 249,공과대학,5개 251 | 250,공과대학,5개 252 | 251,공과대학,5개 253 | 252,공과대학,5개 254 | 253,공과대학,5개 255 | 254,공과대학,5개 256 | 255,공과대학,5개 257 | 256,공과대학,5개 258 | 257,공과대학,5개 259 | 258,공과대학,5개 260 | 259,공과대학,5개 261 | 260,공과대학,5개 262 | 261,공과대학,5개 263 | 262,공과대학,5개 264 | 263,공과대학,5개 265 | 264,공과대학,5개 266 | 265,공과대학,5개 267 | 266,공과대학,5개 268 | 267,공과대학,5개 269 | 268,공과대학,5개 270 | 269,공과대학,5개 271 | 270,공과대학,5개 272 | 271,공과대학,5개 273 | 272,공과대학,5개 274 | 273,공과대학,6개 이상 275 | 274,공과대학,6개 이상 276 | 275,공과대학,6개 이상 277 | 276,공과대학,6개 이상 278 | 277,공과대학,6개 이상 279 | 278,공과대학,6개 이상 280 | 279,공과대학,6개 이상 281 | 280,공과대학,6개 이상 282 | 281,공과대학,6개 이상 283 | 282,공과대학,6개 이상 284 | 283,공과대학,6개 이상 285 | 284,공과대학,6개 이상 286 | 285,공과대학,6개 이상 287 | 286,공과대학,6개 이상 288 | 287,공과대학,6개 이상 289 | 288,공과대학,6개 이상 290 | 289,공과대학,6개 이상 291 | 290,공과대학,6개 이상 292 | 291,공과대학,6개 이상 293 | 292,공과대학,6개 이상 294 | 293,공과대학,6개 이상 295 | 294,공과대학,6개 이상 296 | 295,공과대학,6개 이상 297 | 296,공과대학,6개 이상 298 | 297,공과대학,6개 이상 299 | 298,공과대학,6개 이상 300 | 299,공과대학,6개 이상 301 | 300,공과대학,6개 이상 -------------------------------------------------------------------------------- /datasets/supplement/toothgrowth.csv: -------------------------------------------------------------------------------- 1 | len,supp,dose 2 | 4.2,VC,0.5 3 | 11.5,VC,0.5 4 | 7.3,VC,0.5 5 | 5.8,VC,0.5 6 | 6.4,VC,0.5 7 | 10,VC,0.5 8 | 11.2,VC,0.5 9 | 11.2,VC,0.5 10 | 5.2,VC,0.5 11 | 7,VC,0.5 12 | 16.5,VC,1 13 | 16.5,VC,1 14 | 15.2,VC,1 15 | 17.3,VC,1 16 | 22.5,VC,1 17 | 17.3,VC,1 18 | 13.6,VC,1 19 | 14.5,VC,1 20 | 18.8,VC,1 21 | 15.5,VC,1 22 | 23.6,VC,2 23 | 18.5,VC,2 24 | 33.9,VC,2 25 | 25.5,VC,2 26 | 26.4,VC,2 27 | 32.5,VC,2 28 | 26.7,VC,2 29 | 21.5,VC,2 30 | 23.3,VC,2 31 | 29.5,VC,2 32 | 15.2,OJ,0.5 33 | 21.5,OJ,0.5 34 | 17.6,OJ,0.5 35 | 9.7,OJ,0.5 36 | 14.5,OJ,0.5 37 | 10,OJ,0.5 38 | 8.2,OJ,0.5 39 | 9.4,OJ,0.5 40 | 16.5,OJ,0.5 41 | 9.7,OJ,0.5 42 | 19.7,OJ,1 43 | 23.3,OJ,1 44 | 23.6,OJ,1 45 | 26.4,OJ,1 46 | 20,OJ,1 47 | 25.2,OJ,1 48 | 25.8,OJ,1 49 | 21.2,OJ,1 50 | 14.5,OJ,1 51 | 27.3,OJ,1 52 | 25.5,OJ,2 53 | 26.4,OJ,2 54 | 22.4,OJ,2 55 | 24.5,OJ,2 56 | 24.8,OJ,2 57 | 30.9,OJ,2 58 | 26.4,OJ,2 59 | 27.3,OJ,2 60 | 29.4,OJ,2 61 | 23,OJ,2 62 | -------------------------------------------------------------------------------- /datasets/supplement/trees.csv: -------------------------------------------------------------------------------- 1 | "Girth","Height","Volume" 2 | 8.3,70,10.3 3 | 8.6,65,10.3 4 | 8.8,63,10.2 5 | 10.5,72,16.4 6 | 10.7,81,18.8 7 | 10.8,83,19.7 8 | 11,66,15.6 9 | 11,75,18.2 10 | 11.1,80,22.6 11 | 11.2,75,19.9 12 | 11.3,79,24.2 13 | 11.4,76,21 14 | 11.4,76,21.4 15 | 11.7,69,21.3 16 | 12,75,19.1 17 | 12.9,74,22.2 18 | 12.9,85,33.8 19 | 13.3,86,27.4 20 | 13.7,71,25.7 21 | 13.8,64,24.9 22 | 14,78,34.5 23 | 14.2,80,31.7 24 | 14.5,74,36.3 25 | 16,72,38.3 26 | 16.3,77,42.6 27 | 17.3,81,55.4 28 | 17.5,82,55.7 29 | 17.9,80,58.3 30 | 18,80,51.5 31 | 18,80,51 32 | 20.6,87,77 33 | -------------------------------------------------------------------------------- /res/mpg_y_test.csv: -------------------------------------------------------------------------------- 1 | isUSA 2 | 0 3 | 1 4 | 1 5 | 1 6 | 0 7 | 0 8 | 0 9 | 0 10 | 1 11 | 0 12 | 1 13 | 0 14 | 1 15 | 0 16 | 0 17 | 0 18 | 1 19 | 1 20 | 0 21 | 1 22 | 1 23 | 1 24 | 1 25 | 1 26 | 1 27 | 0 28 | 0 29 | 1 30 | 1 31 | 1 32 | 1 33 | 0 34 | 1 35 | 1 36 | 1 37 | 0 38 | 0 39 | 1 40 | 0 41 | 1 42 | 1 43 | 0 44 | 0 45 | 1 46 | 0 47 | 1 48 | 0 49 | 1 50 | 0 51 | 1 52 | 1 53 | 0 54 | 1 55 | 0 56 | 1 57 | 1 58 | 1 59 | 0 60 | 1 61 | 0 62 | 1 63 | 1 64 | 1 65 | 1 66 | 1 67 | 1 68 | 1 69 | 0 70 | 1 71 | 1 72 | 1 73 | 1 74 | 1 75 | 0 76 | 1 77 | 1 78 | 1 79 | 0 80 | 0 81 | 1 82 | 1 83 | 1 84 | 0 85 | 1 86 | 1 87 | 1 88 | 0 89 | 0 90 | 0 91 | 1 92 | 1 93 | 1 94 | 1 95 | 1 96 | 1 97 | 1 98 | 0 99 | 1 100 | 1 101 | 1 102 | 1 103 | 1 104 | 1 105 | 1 106 | 1 107 | 0 108 | 1 109 | 1 110 | 0 111 | 1 112 | 1 113 | 1 114 | 0 115 | 1 116 | 1 117 | 0 118 | 1 119 | 1 120 | 1 121 | 0 122 | -------------------------------------------------------------------------------- /res/penguin_y_test.csv: -------------------------------------------------------------------------------- 1 | body_mass_g 2 | 4000.0 3 | 5000.0 4 | 3800.0 5 | 3300.0 6 | 5050.0 7 | 4475.0 8 | 3050.0 9 | 3900.0 10 | 4150.0 11 | 3400.0 12 | 3100.0 13 | 5750.0 14 | 3200.0 15 | 3550.0 16 | 3750.0 17 | 3800.0 18 | 4000.0 19 | 3325.0 20 | 3550.0 21 | 3150.0 22 | 5500.0 23 | 4450.0 24 | 6050.0 25 | 4950.0 26 | 4925.0 27 | 5550.0 28 | 5450.0 29 | 4150.0 30 | 3700.0 31 | 4350.0 32 | 4400.0 33 | 3450.0 34 | 3525.0 35 | 4350.0 36 | 3475.0 37 | 3050.0 38 | 2850.0 39 | 3200.0 40 | 3250.0 41 | 4875.0 42 | 3700.0 43 | 5250.0 44 | 5000.0 45 | 5000.0 46 | 5600.0 47 | 3650.0 48 | 4400.0 49 | 3075.0 50 | 5000.0 51 | 4275.0 52 | 4650.0 53 | 4600.0 54 | 4075.0 55 | 3600.0 56 | 3400.0 57 | 4000.0 58 | 4700.0 59 | 4400.0 60 | 3400.0 61 | 3650.0 62 | 3900.0 63 | 4700.0 64 | 3700.0 65 | 4750.0 66 | 3900.0 67 | 4300.0 68 | 6000.0 69 | 3350.0 70 | 4750.0 71 | 3400.0 72 | 3750.0 73 | 2900.0 74 | 4200.0 75 | 3450.0 76 | 4700.0 77 | 4575.0 78 | 5300.0 79 | 3300.0 80 | 3325.0 81 | 4725.0 82 | 3600.0 83 | 5550.0 84 | 2700.0 85 | 4850.0 86 | 4300.0 87 | 3425.0 88 | 5700.0 89 | 3875.0 90 | 3725.0 91 | 4600.0 92 | 4150.0 93 | 3450.0 94 | 4300.0 95 | 4050.0 96 | 5550.0 97 | 3775.0 98 | 5300.0 99 | 3250.0 100 | 4400.0 101 | 4750.0 102 | 3550.0 103 | -------------------------------------------------------------------------------- /src/P3_C2_01_iris_wine.ipynb: -------------------------------------------------------------------------------- 1 | {"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"toc_visible":true},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"markdown","metadata":{"id":"view-in-github"},"source":["\"Open"]},{"cell_type":"markdown","source":["# **Chapter 5. 과목 마무리 문제**"],"metadata":{"id":"LIOFQkLJXKFk"}},{"cell_type":"markdown","source":["## 1. 작업형 제 1유형"],"metadata":{"id":"gpFW6wvCXlQd"}},{"cell_type":"code","source":["!git clone https://github.com/AnalyticsKnight/yemoonsaBigdata/"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"VHHqdFho5GQS","outputId":"bb0775d1-030c-42aa-92fa-59928ae17757"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Cloning into 'yemoonsaBigdata'...\n","remote: Enumerating objects: 421, done.\u001b[K\n","remote: Counting objects: 100% (421/421), done.\u001b[K\n","remote: Compressing objects: 100% (396/396), done.\u001b[K\n","remote: Total 421 (delta 204), reused 42 (delta 19), pack-reused 0\u001b[K\n","Receiving objects: 100% (421/421), 8.30 MiB | 4.59 MiB/s, done.\n","Resolving deltas: 100% (204/204), done.\n"]}]},{"cell_type":"markdown","source":["### (1) Iris 데이터 세트"],"metadata":{"id":"5TqE-4SgXJ7W"}},{"cell_type":"code","source":["import pandas as pd\n","data = pd.read_csv(\"./yemoonsaBigdata/datasets/Part3/iris.csv\")"],"metadata":{"id":"Yl39rkP1YECB"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["#### 코드 211-01"],"metadata":{"id":"aikvAMIm4tH3"}},{"cell_type":"code","source":["print(data.groupby('species')['petal_width'].quantile([0.75]))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"5v8oG6Kd0Zlg","outputId":"f835548f-9138-4a05-e7a3-ef53c9ec3f85"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["species \n","setosa 0.75 0.3\n","versicolor 0.75 1.5\n","virginica 0.75 2.3\n","Name: petal_width, dtype: float64\n"]}]},{"cell_type":"markdown","source":["#### 코드 211-02"],"metadata":{"id":"yuFqdiaS5JQM"}},{"cell_type":"code","source":["lst = data['sepal_length'].unique().tolist()\n","lst.sort()\n","print(lst[9])"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"7RlkOohr08UO","outputId":"ef38e97f-2a15-424c-eb6a-1fd5871233ef"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["5.2\n"]}]},{"cell_type":"markdown","source":["#### 코드 211-03"],"metadata":{"id":"aa12FmQN627f"}},{"cell_type":"code","source":["sorted_data = data.sort_values(by='sepal_width', ascending=False).reset_index(drop=True)\n","sorted_data_split = sorted_data.loc[0:99] # 또는 sorted_data.head(100)\n","print(int(sorted_data_split['sepal_width'].std()*50))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"WM37nQ1n63UT","outputId":"ca4d17bb-b1d9-49fb-abd3-b8581c08bd8c"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["16\n"]}]},{"cell_type":"markdown","source":["#### 코드 211-04"],"metadata":{"id":"FYtO1JkT9fdK"}},{"cell_type":"code","source":["data = data.sort_values(by=['species', 'petal_length'], ascending=[True, False])\n","data_top10 = data.groupby('species').head(10)\n","print(round(data_top10.groupby('species')['petal_length'].mean().sum()))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"mKHOHger9fkp","outputId":"bc2951ea-bafb-43c0-aef7-1bdc2a3dfd64"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["13\n"]}]},{"cell_type":"markdown","source":["#### 코드 211-05"],"metadata":{"id":"WCHpTfBFKD-s"}},{"cell_type":"code","source":["mean = data['sepal_length'].mean()\n","std = data['sepal_length'].std()\n","crit1 = mean+2*std\n","crit2 = mean-2*std\n","print(data[(data['sepal_length']>=crit1)|(data['sepal_length']<=crit2)])"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"g34Dneh5ISTG","outputId":"ba68b4b1-4aa2-4fd4-dcef-0df16368e73b"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":[" sepal_length sepal_width petal_length petal_width species\n","118 7.7 2.6 6.9 2.3 virginica\n","117 7.7 3.8 6.7 2.2 virginica\n","122 7.7 2.8 6.7 2.0 virginica\n","105 7.6 3.0 6.6 2.1 virginica\n","131 7.9 3.8 6.4 2.0 virginica\n","135 7.7 3.0 6.1 2.3 virginica\n"]}]},{"cell_type":"markdown","source":["### (2) Wine 데이터 세트"],"metadata":{"id":"Bp1go40oW7q1"}},{"cell_type":"code","source":["import pandas as pd\n","data = pd.read_csv(\"./yemoonsaBigdata/datasets/Part3/wine.csv\")"],"metadata":{"id":"R7Qt95tI5UbO"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["#### 코드 212-01"],"metadata":{"id":"2G78SMGcPAco"}},{"cell_type":"code","source":["data_drop = data[data['total_phenols'].notnull()]\n","med = data_drop['alcalinity_of_ash'].median()\n","data_drop.loc[data_drop['alcalinity_of_ash'].isnull(), 'alcalinity_of_ash'] = med\n","print(data_drop['alcalinity_of_ash'].mean())"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Z1NLxFxENNtT","outputId":"76af6043-6b8b-4622-e993-bfe33c619216"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["19.397546012269935\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.7/dist-packages/pandas/core/indexing.py:1817: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame.\n","Try using .loc[row_indexer,col_indexer] = value instead\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"," self._setitem_single_column(loc, value, pi)\n"]}]},{"cell_type":"markdown","source":["#### 코드 212-02"],"metadata":{"id":"Fb98ZU5QXv4s"}},{"cell_type":"code","source":["mean_val1 = data['alcohol'].mean()\n","mean_val2 = data['color_intensity'].mean()\n","data_filtered = data[(data['alcohol']>=mean_val1)&(data['color_intensity']>=mean_val2)]\n","print(data_filtered['class'].value_counts())"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"fLhicFdEXEWY","outputId":"1a913b1c-7554-4bba-ea16-3f07a540bb0c"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["0 37\n","2 23\n","1 1\n","Name: class, dtype: int64\n"]}]},{"cell_type":"markdown","source":["#### 코드 212-03"],"metadata":{"id":"k37JuW21Xw7w"}},{"cell_type":"code","source":["print(data.head(1).T)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"7uTd3MjUi5LR","outputId":"38a87b60-ac5d-4f48-9225-3e860d773d3e"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":[" 0\n","alcohol 14.23\n","malic_acid 1.71\n","ash 2.43\n","alcalinity_of_ash 15.60\n","magnesium 127.00\n","total_phenols 2.80\n","flavanoids 3.06\n","nonflavanoid_phenols 0.28\n","proanthocyanins 2.29\n","color_intensity 5.64\n","hue 1.04\n","od280/od315_of_diluted_wines 3.92\n","proline 1065.00\n","class 0.00\n"]}]},{"cell_type":"code","source":["val1 = data[data['class']==1]['ash'].mean()\n","val2 = data.dropna()['ash'].mean()\n","print(round(abs(val1-val2), 3))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"VFXBZ5zpXys0","outputId":"a63c9c56-b59f-4405-a1d3-84dd9ee29fad"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["0.12\n"]}]},{"cell_type":"markdown","source":["#### 코드 212-04"],"metadata":{"id":"eP2JbUbYXx6k"}},{"cell_type":"code","source":["data_sorted = data.sort_values(by='alcohol')\n","data_sorted.loc[0:19, 'alcohol'] = data_sorted.loc[19, 'alcohol']\n","print(round(data_sorted[data_sorted['proanthocyanins']<=2]['alcohol'].mean(), 2))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"trn_gx-oXxjY","outputId":"eb74365f-bdca-4b98-ea5b-0c852dbe4550"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["12.94\n"]}]},{"cell_type":"markdown","source":["#### 코드 212-05"],"metadata":{"id":"NI56d5yVXzi_"}},{"cell_type":"code","source":["class1_q1, class1_q3 = data[data['class']==1]['proline'].quantile([0.25, 0.75])\n","class2_q1, class2_q3 = data[data['class']==2]['proline'].quantile([0.25, 0.75])\n","print(abs((class1_q3-class1_q1) - (class2_q3-class2_q1)))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"5XepS54pm4cs","outputId":"433f20fb-4e69-4e6d-e260-dd1467eed2f4"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["68.5\n"]}]}]} -------------------------------------------------------------------------------- /src/P4_C4_01_Exam.ipynb: -------------------------------------------------------------------------------- 1 | {"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"toc_visible":true},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"markdown","source":["# Part4.작업형 제 3유형"],"metadata":{"id":"qvrlQlwK09K4"}},{"cell_type":"markdown","source":["## Chapter4. 과목 마무리 문제"],"metadata":{"id":"OyjiEVpnxt8E"}},{"cell_type":"code","source":["!git clone https://github.com/AnalyticsKnight/yemoonsaBigdata/"],"metadata":{"id":"_1NzoskYRGjk","colab":{"base_uri":"https://localhost:8080/"},"outputId":"0a20781d-aaa2-4041-9a66-d943031b9f89"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Cloning into 'yemoonsaBigdata'...\n","remote: Enumerating objects: 672, done.\u001b[K\n","remote: Counting objects: 100% (309/309), done.\u001b[K\n","remote: Compressing objects: 100% (198/198), done.\u001b[K\n","remote: Total 672 (delta 142), reused 212 (delta 111), pack-reused 363\u001b[K\n","Receiving objects: 100% (672/672), 11.12 MiB | 21.13 MiB/s, done.\n","Resolving deltas: 100% (327/327), done.\n"]}]},{"cell_type":"markdown","source":["## 1. 작업형 제 3유형"],"metadata":{"id":"XhmllIp-004C"}},{"cell_type":"markdown","source":["### (1) Airquality 데이터 세트"],"metadata":{"id":"og7tG2xI6TD_"}},{"cell_type":"markdown","source":["#### 411-01"],"metadata":{"id":"05PSmAPwPUdg"}},{"cell_type":"code","source":["import pandas as pd\n","import scipy.stats as stats\n","from math import sqrt\n","\n","a = pd.read_csv(\"./yemoonsaBigdata/datasets/Part4/airquality.csv\")\n","\n","X = a['Wind'].mean()\n","print( round(X, 2) )\n","\n","t_score, p_value = stats.ttest_1samp(a['Wind'], 10)\n","\n","print( round(t_score, 2) )\n","\n","print( round(p_value, 4) )\n","\n","if p_value >= 0.05:\n"," print('채택')\n","else:\n"," print('기각')"],"metadata":{"id":"glfo_TdlXuU5","colab":{"base_uri":"https://localhost:8080/"},"outputId":"0aa86600-053a-4766-d5c3-34d0fa95a6e2"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["9.96\n","-0.15\n","0.8816\n","채택\n"]}]},{"cell_type":"markdown","source":["### (2) Chickweight 데이터 세트"],"metadata":{"id":"B5DH6Ces6bLW"}},{"cell_type":"markdown","source":["#### 412-01"],"metadata":{"id":"mBwI3KkXPskr"}},{"cell_type":"code","execution_count":null,"metadata":{"id":"OKHJXjwU492V","colab":{"base_uri":"https://localhost:8080/"},"outputId":"5f750313-7cfd-41a0-f286-5a5211acf75f"},"outputs":[{"output_type":"stream","name":"stdout","text":["102.65 135.26\n","-4.41\n","0.0\n","기각\n"]}],"source":["import pandas as pd\n","import scipy.stats as stats\n","from math import sqrt\n","\n","a = pd.read_csv(\"./yemoonsaBigdata/datasets/Part4/chickweight.csv\")\n","\n","a1 = a.loc[a.Diet==1]\n","a4 = a.loc[a.Diet==4]\n","\n","a1_X = a1['weight'].mean()\n","a4_X = a4['weight'].mean()\n","\n","print( round(a1_X, 2), round(a4_X, 2) )\n","\n","t_score, p_value = stats.ttest_ind(a1['weight'], a4['weight'], equal_var=False)\n","print( round(t_score, 2) )\n","\n","print( round(p_value, 4) )\n","\n","if p_value >= 0.05:\n"," print('채택')\n","else:\n"," print('기각')"]},{"cell_type":"markdown","source":["### (3) StudentPerformance 데이터 세트1"],"metadata":{"id":"y48wsh_gokQn"}},{"cell_type":"markdown","source":["#### 413-01"],"metadata":{"id":"T0NXngBeokQo"}},{"cell_type":"code","source":["import pandas as pd\n","import scipy.stats as stats\n","from math import sqrt\n","\n","a = pd.read_csv(\"./yemoonsaBigdata/datasets/Part4/StudentsPerformance1.csv\", encoding='cp949')\n","\n","X_A = a.loc[a.인종=='A그룹', '수학 점수']\n","X_B = a.loc[a.인종=='B그룹', '수학 점수']\n","X_C = a.loc[a.인종=='C그룹', '수학 점수']\n","X_D = a.loc[a.인종=='D그룹', '수학 점수']\n","\n","X_A_mean = X_A.mean()\n","X_B_mean = X_B.mean()\n","X_C_mean = X_C.mean()\n","X_D_mean = X_D.mean()\n","\n","print(round(X_A_mean, 2), round(X_B_mean, 2), round(X_C_mean, 2), round(X_D_mean, 2))\n","\n","test_result = stats.f_oneway(X_A, X_B, X_C, X_D)\n","print(round(test_result.statistic, 2))\n","\n","p_value = test_result.pvalue\n","\n","print(round(p_value, 4))\n","\n","if p_value >= 0.05:\n"," print('채택')\n","else:\n"," print('기각')"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"NspKApclmrW4","outputId":"11a89a7a-ad2f-4488-cdfe-66075d1d4291"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["61.63 61.63 61.63 61.63\n","4.66\n","0.0031\n","기각\n"]}]},{"cell_type":"markdown","source":["### (4) StudentPerformance 데이터 세트2"],"metadata":{"id":"p6Uu5JbWokQp"}},{"cell_type":"markdown","source":["#### 414-01"],"metadata":{"id":"vwU_sUB7okQp"}},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"outputId":"cdbf646d-dadd-4839-af5d-4562fd3a0dc0","id":"FczISdx6okQp"},"outputs":[{"output_type":"stream","name":"stdout","text":["38\n","12.41\n","0.002\n","기각\n"]}],"source":["import pandas as pd\n","import scipy.stats as stats\n","from math import sqrt\n","\n","a = pd.read_csv(\"./yemoonsaBigdata/datasets/Part4/StudentsPerformance2.csv\", encoding='cp949')\n","\n","table = pd.crosstab(a['성별'], a['학업 성적'])\n","\n","X1 = table.loc['남성', :]\n","X2 = table.loc['여성', :]\n","\n","X1_G = X1['우수']\n","X2_G = X2['우수']\n","\n","print(int(abs(X1_G-X2_G)))\n","\n","test_result = stats.chi2_contingency([X1, X2])\n","print(round(test_result.statistic, 2))\n","\n","p_value = test_result.pvalue\n","print(round(p_value, 4))\n","\n","if p_value >= 0.05:\n"," print('채택')\n","else:\n"," print('기각')"]},{"cell_type":"markdown","source":["(5) 회귀분석 - Airquality 데이터 세트"],"metadata":{"id":"wbV1l9CHuigp"}},{"cell_type":"code","source":["import pandas as pd\n","import statsmodels.api as sm\n","\n","df = pd.read_csv(\"./yemoonsaBigdata/datasets/Part4/airquality.csv\")\n","\n","\n","#결측값 제거 (drop)\n","df = df.dropna(axis=0)\n","#print(df.info())\n","\n","#회귀분석 y = Ozone, x = Solar.R,Wind, Temp,Month\n","X = df[['Solar.R', 'Wind', 'Temp', 'Month']]\n","y = df[['Ozone']]\n","\n","#다중회귀 모델 생성\n","model = sm.OLS(y, X).fit()\n","summary = model.summary()\n","#print(summary)\n","\n","#1.결정계수 구하기\n","r2 = model.rsquared\n","print(r2)\n","\n","#회귀계수 가장 큰 변수와 값 구하기\n","param = model.params\n","max_coef = param.idxmax(), param.max()\n","print(max_coef)\n","\n","#p-value 가장 큰 변수와 값 구하기\n","pvalues = model.pvalues\n","min_pval = pvalues.idxmin(), pvalues.min()\n","print(min_pval)\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"1tb8sRyauhsC","outputId":"b1625269-69e8-425e-a6ff-b991887b315a"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["0.8458815759413625\n","('Temp', 1.3196400781175937)\n","('Wind', 3.583257942482571e-15)\n"]}]}]} --------------------------------------------------------------------------------