Read the Train dataset.
Make two new dataframes : a subset of male survivors, and a subset of female survivors. [Hint: Use command ‘subset’] Based on question 2, what was the name of the oldest surviving male?
In what class was the youngest surviving female? Hint: use which.max, which.min on the subsets you just created. Take 15 random names of passengers from the dataset, and sort them alphabetically. Hint: use command ‘sample’ and then ‘sort’.
Convert the ’Name’ (passenger name) variable to a ’character’ variable, and store it in the dataframe. How many observations of ’Age’ are missing from the dataframe? Hint: use ‘summary’ Make a new variable called ’Status’, based on the ’Survived’ variable already in the dataset.
For passengers that did not survive, Status should be ’dead’, for those who did, Status should be ’alive’. Make sure this new variable is a factor Count the number of passengers in each class (1st, 2nd, 3rd) Using grep, find the six passengers with the last name ’Fortune’.
Make this subset into a new dataframe. Did they all survive? [note: grep is the R command for regular expression] For what proportion of the passengers is the age unknown? Was this proportion higher for 3rd class than 1st and 2nd? Hint: First make a subset of the dataframe where age is missing
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