데이터소개

cu.summary

  • Data description

    • Automobile Data from ’Consumer Reports’ 1990
    • 1990년 4월, 자동차에 관련된 소비자보고서(Consumer Reports)에 수록된 데이터
    • rpart 패키지에 내장

  • 변수설명

    Vaiables Descriptions
    Price 표준모델에 대한 차량가격(US dollars)
    Country 자동차 생산국 ‘Brazil’, ‘England’, ‘France’, ‘Germany’, ‘Japan’, ‘Japan/USA’,‘Korea’, ‘Mexico’, ‘Sweden’ and ‘USA’
    Reliability 신뢰도(5점; Much worse < worse < average < better < Much better)
    Mileage 연비 (연료 소비율; miles/gallon)
    Type 외형 (Compact, Large, Medium, Small, Sporty, Van)

FIFA2018

x <- readxl::read_xlsx("data/FIFA_2018.xlsx")
dim(x)
## [1] 17981    71
names(x)
##  [1] "Name"                "Age"                 "Photo"              
##  [4] "Nationality"         "Overall"             "Potential"          
##  [7] "Club"                "Value"               "Wage"               
## [10] "Special"             "Acceleration"        "Aggression"         
## [13] "Agility"             "Balance"             "Ball control"       
## [16] "Composure"           "Crossing"            "Curve"              
## [19] "Dribbling"           "Finishing"           "Free kick accuracy" 
## [22] "GK diving"           "GK handling"         "GK kicking"         
## [25] "GK positioning"      "GK reflexes"         "Heading accuracy"   
## [28] "Interceptions"       "Jumping"             "Long passing"       
## [31] "Long shots"          "Marking"             "Penalties"          
## [34] "Positioning"         "Reactions"           "Short passing"      
## [37] "Shot power"          "Sliding tackle"      "Sprint speed"       
## [40] "Stamina"             "Standing tackle"     "Strength"           
## [43] "Vision"              "Volleys"             "CAM"                
## [46] "CB"                  "CDM"                 "CF"                 
## [49] "CM"                  "LAM"                 "LB"                 
## [52] "LCB"                 "LCM"                 "LDM"                
## [55] "LF"                  "LM"                  "LS"                 
## [58] "LW"                  "LWB"                 "Preferred Positions"
## [61] "RAM"                 "RB"                  "RCB"                
## [64] "RCM"                 "RDM"                 "RF"                 
## [67] "RM"                  "RS"                  "RW"                 
## [70] "RWB"                 "ST"

프로야구선수 연봉

library(readr)
AS <- read_csv("data/프로야구선수연봉.csv", 
    locale = locale(encoding = "CP949"))

Epicurious - Recipes with Rating and Nutrition

  • 레시피 등급, 영양 성분등 요리에 포함된 다양한 정보가 주어진 데이터로 어떤 요인에 의해 사람들이 디저트를 선택하는 지를 분석하기 위한 데이터 셋

  • 다운로드: https://www.kaggle.com/datasets/hugodarwood/epirecipes

UK 2016 Road Safety Data