Please follow the steps below to complete your assignment utilizing the Titanic$\_$dataset.csv file.

Review the variable descriptors file for the dataset.

Exploration and Initial Analysis:

a$)$ Load the Titanic dataset and print the first $10$ rows.

b$)$ Display the shape and descriptive statistics of the dataset.

c$)$ Check and list the data types of each column.

Data Cleaning:

Identify and handle missing values in the dataset.

a$)$ Remove rows with missing values in Age column

b$)$ Impute missing values in Embarked column with the mode.

Subset and Dimension Reduction:

a$)$ Select relevant columns from the cleaned dataset using the following column names: PassengerId, Pclass, Name, Age, Sex, Survived or column numbers: $0$ through $6.$

b$)$ Create a subset of the first $20$ rows for reviewing.

Analysis and Reporting:

a$)$ Count the unique values in the passenger class 'Pclass' column from the output from step $3($a$)$

b$)$ Generate value counts for other categorical variables.

c$)$ Take a random sample of the dataset and report the sample size.

Submission

Save your Jupyter Notebook file with the name Titanic$\_$DataPreparation$\_$Assignment.ipynb. and upload back onto the Blackboard Assignment

Ensure that all code cells are properly commented to explain each step.