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Titanic Data Uncovered: A Deep Dive Through Visual Analytics
import pandas as pd
import numpy as np
import matplotlib as plt
import seaborn as sb
import plotly.express as pxTitanic=pd.read_csv("tested.csv")Titanic.head(20)| Variable | Definition | Key |
|---|---|---|
| survival | Survival | 0 = No, 1 = Yes |
| pclass | Ticket class | 1 = 1st, 2 = 2nd, 3 = 3rd |
| sex | Sex | |
| Age | Age in years | |
| sibsp | # of siblings / spouses aboard the Titanic | |
| parch | # of parents / children aboard the Titanic | |
| ticket | Ticket number | |
| fare | Passenger fare | |
| cabin | Cabin number | |
| embarked | Port of Embarkation | C = Cherbourg, Q = Queenstown, S = Southampton |
Titanic.columnsTitanic.info()Titanic.describe()Titanic.describe(include='object')Titanic.drop(columns=["PassengerId","Name","Ticket"],inplace=True)Titanic.head()Titanic.info()Titanic.Age.fillna(Titanic.Age.mean(),inplace=True)Titanic.Cabin.unique()Titanic.Cabin.fillna("Unknown",inplace=True)Titanic['Cabin'] = Titanic['Cabin'].str.split().str[0]