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Data Analysis——-Visualization Analyzing the Titanic Dataset

import pandas as pd
import matplotlib.pyplot as plt

# Load the Titanic dataset from an online source
url = "https://raw.githubusercontent.com/datasciencedojo/datasets/master/titanic.csv"
df = pd.read_csv(url)

# Display the first few rows of the dataset
print("First 5 rows of the Titanic dataset:")
print(df.head())

# Summary statistics of the dataset
print("\nSummary statistics:")
print(df.describe())

# Check for missing values
print("\nMissing values in each column:")
print(df.isnull().sum())

# Visualize the distribution of passengers' ages
plt.figure(figsize=(10, 6))
plt.hist(df['Age'].dropna(), bins=30, color='skyblue', edgecolor='black')
plt.title('Distribution of Passengers\' Ages')
plt.xlabel('Age')
plt.ylabel('Number of Passengers')
plt.show()

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