final
3.Perform Exploratory Data Analysis (EDA) and Uni-variate, Bi-variate, and Multi-variate Analysis on titanic Dataset. import numpy as np import pandas as pd import matplotlib.pyplot as plt import seaborn as sns data=pd.read_csv('titanic.csv') sns.heatmap(data.isna()) g=sns.histplot(x='Sex', data=data) g=sns.countplot(x='Embarked', hue='Pclass', data=data) def add_family(df): df['FamilySize']=df['SibSp'] + df['Parch'] +1 return df data=add_family(data) data.head(10) g=sns.countplot(x='FamilySize', hue='Survived', data=data) g=sns.catplot(x="Embarked", hue="Sex", col="Survived",data=data, kind="count", height=4, aspect=.7) 4.Write a ...