library(readr)
HeartFailure_excerpt <- read.csv("C:/Users/Olateru-Olagbegi9176/Downloads/HeartFailure_excerpt.csv", header=FALSE)
View(HeartFailure_excerpt)
features_name<-c('age','creatine','EFC','platelets','serum_creatinine','serum_sodium','time','death_event')
colnames(HeartFailure_excerpt)<-features_name
str(HeartFailure_excerpt)
## 'data.frame':    299 obs. of  8 variables:
##  $ age             : num  75 55 65 50 65 90 75 60 65 80 ...
##  $ creatine        : int  582 7861 146 111 160 47 246 315 157 123 ...
##  $ EFC             : int  20 38 20 20 20 40 15 60 65 35 ...
##  $ platelets       : num  265000 263358 162000 210000 327000 ...
##  $ serum_creatinine: num  1.9 1.1 1.3 1.9 2.7 2.1 1.2 1.1 1.5 9.4 ...
##  $ serum_sodium    : int  130 136 129 137 116 132 137 131 138 133 ...
##  $ time            : int  4 6 7 7 8 8 10 10 10 10 ...
##  $ death_event     : int  1 1 1 1 1 1 1 1 1 1 ...
summary(HeartFailure_excerpt)
##       age           creatine           EFC          platelets     
##  Min.   :40.00   Min.   :  23.0   Min.   :14.00   Min.   : 25100  
##  1st Qu.:51.00   1st Qu.: 116.5   1st Qu.:30.00   1st Qu.:212500  
##  Median :60.00   Median : 250.0   Median :38.00   Median :262000  
##  Mean   :60.83   Mean   : 581.8   Mean   :38.08   Mean   :263358  
##  3rd Qu.:70.00   3rd Qu.: 582.0   3rd Qu.:45.00   3rd Qu.:303500  
##  Max.   :95.00   Max.   :7861.0   Max.   :80.00   Max.   :850000  
##  serum_creatinine  serum_sodium        time        death_event    
##  Min.   :0.500    Min.   :113.0   Min.   :  4.0   Min.   :0.0000  
##  1st Qu.:0.900    1st Qu.:134.0   1st Qu.: 73.0   1st Qu.:0.0000  
##  Median :1.100    Median :137.0   Median :115.0   Median :0.0000  
##  Mean   :1.394    Mean   :136.6   Mean   :130.3   Mean   :0.3211  
##  3rd Qu.:1.400    3rd Qu.:140.0   3rd Qu.:203.0   3rd Qu.:1.0000  
##  Max.   :9.400    Max.   :148.0   Max.   :285.0   Max.   :1.0000

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