PassengerId Pclass Name Sex Age
1 892 3 Kelly, Mr. James male 34.5
2 893 3 Wilkes, Mrs. James (Ellen Needs) female 47.0
3 894 2 Myles, Mr. Thomas Francis male 62.0
4 895 3 Wirz, Mr. Albert male 27.0
5 896 3 Hirvonen, Mrs. Alexander (Helga E Lindqvist) female 22.0
6 897 3 Svensson, Mr. Johan Cervin male 14.0
SibSp Parch Ticket Fare Cabin Embarked
1 0 0 330911 7.8292 Q
2 1 0 363272 7.0000 S
3 0 0 240276 9.6875 Q
4 0 0 315154 8.6625 S
5 1 1 3101298 12.2875 S
6 0 0 7538 9.2250 S
PassengerId Pclass Name Sex
Min. : 892.0 Min. :1.000 Length:418 Length:418
1st Qu.: 996.2 1st Qu.:1.000 Class :character Class :character
Median :1100.5 Median :3.000 Mode :character Mode :character
Mean :1100.5 Mean :2.266
3rd Qu.:1204.8 3rd Qu.:3.000
Max. :1309.0 Max. :3.000
Age SibSp Parch Ticket
Min. : 0.17 Min. :0.0000 Min. :0.0000 Length:418
1st Qu.:23.00 1st Qu.:0.0000 1st Qu.:0.0000 Class :character
Median :30.27 Median :0.0000 Median :0.0000 Mode :character
Mean :30.27 Mean :0.4474 Mean :0.3923
3rd Qu.:35.75 3rd Qu.:1.0000 3rd Qu.:0.0000
Max. :76.00 Max. :8.0000 Max. :9.0000
Fare Cabin Embarked
Min. : 0.000 Length:418 Length:418
1st Qu.: 7.896 Class :character Class :character
Median : 14.454 Mode :character Mode :character
Mean : 35.627
3rd Qu.: 31.500
Max. :512.329
library(knitr)table_data <-head(df_clean[c("PassengerId", "Pclass", "Sex", "Age", "Fare")], 5)kable(table_data, caption ="First 5 Passengers of the Titanic Test Set")
First 5 Passengers of the Titanic Test Set
PassengerId
Pclass
Sex
Age
Fare
892
3
male
34.5
7.8292
893
3
female
47.0
7.0000
894
2
male
62.0
9.6875
895
3
male
27.0
8.6625
896
3
female
22.0
12.2875
library(stargazer)stargazer(df_clean, type ="text", title ="Titanic Test Data Summary Statistics",header =FALSE, keep =c("Pclass", "Age", "SibSp", "Parch", "Fare"))
Titanic Test Data Summary Statistics
===========================================
Statistic N Mean St. Dev. Min Max
-------------------------------------------
Pclass 418 2.266 0.842 1 3
Age 418 30.273 12.635 0.170 76.000
SibSp 418 0.447 0.897 0 8
Parch 418 0.392 0.981 0 9
Fare 418 35.627 55.841 0.000 512.329
-------------------------------------------