Q$1$ a$.$ What are the types of variable $($quantitative $/$ qualitative$)$ and levels of measurementLinks to an external site. $($nominal $/$ ordinal $/$ interval $/$ ratio$)$ for PassengerId and Age?

Q$1$b$.$ Which variable has the most missing observations? You could have Googled for "Count NA values in R for all columns in a dataframeLinks to an external site." or something like that.

Q$2.$ Impute missing observations for Age, SibSp, and Parch with the column median $($ordinal$,$ interval, or ratio$),$ or the column mode. To do so$,$ use something like this: mydata$Age$[$is$.$na$($mydata$Age$)]<-$ median$($mydata$Age, na$.$rm$=$TRUE$).$ You can read up on indexing in dataframeLinks to an external site. $($i$.$e$.$ "dataframe$\_$name$variable$\_$name"$).$

Q$3.$ Install the psych package in R: install.packages$(\text{'}$pscyh$\text{'}).$ Invoke the package using library$($psych$).$ Then provide descriptive statistics for Age, SibSp, and Parch $($e$.$g$.,$ describe$($mydata$Age$).$ Please comment on what you observe from the summary statistics.