Task $0$: Please only keep relevant codes, and leave comments indicating the question number $(10\%).$

You may lose points if incorrect answer and irrelevant codes are in your submission.

Task $1$: Please write Python codes to do the following task. $(50\%)$

$[5$pt$]$ Read the data file into Python as a pandas data frame

$[5$pt$]$ Display only the top $5$ rows from the dataset. There should be only $5$ rows.

$[5$pt$]$ Display only the selected columns $($survived$,$ pclass, sex, cabin$).$ There should be only $4$ columns.

$[5$pt$]$ Display only passenger ID and passenger name for survived people. The result should have three columns, ID$,$ name and survived.

$[5$pt$]$ Create a new dataframe and only save female records. Display the number of records of the new data frame.

$[5$pt$]$ Save the new data frame from item $5$ to a csv file.

$[10$pt$]$ Print survived people who are older than $50$ or in the upper socio$-$economic status $($pclass is $1).$

$[10$pt$]$ I only want to do analysis on survived people. Then, please create one data frame called "dat$1"$ with fare data, and create another data frame called "dat$2"$ with three columns sex, age, pclass.