Pandas Learning Project

This repository contains my pandas learning exercises, following the official pandas tutorial.

Files

• titanic_data.py - Basic pandas DataFrame and Series operations
• Practice with Titanic passenger data
• DataFrame creation, filtering, and statistical analysis

What I Learned

• Creating DataFrames from dictionaries
• Working with pandas Series
• Basic statistical operations (.describe(), .max(), .mean())
• Filtering data
• Understanding DataFrame vs Series

How to Run

python titanic_data.py

Sample Output

The script demonstrates:

• DataFrame creation with passenger data
• Basic statistics on Age column
• Series creation and manipulation
• Comparison between DataFrame columns and standalone Series

Next Steps

• Load real CSV data
• Data cleaning and manipulation
• Advanced filtering and grouping
• Data visualization with matplotlib

Files

• titanic_data.py - Basic pandas DataFrame and Series operations with sample data
• titanic.csv.py - Comprehensive real Titanic dataset analysis

titanic.csv.py Features

This advanced analysis includes:

• Smart data loading (local → online fallback)
• Complete demographic survival analysis
• Age group categorization with pd.cut()
• Statistical summaries and missing data handling
• Real-world dataset exploration techniques

Sample Analysis Output

The script provides insights like:

• Overall survival rate: ~38.4%
• Female survival rate: ~74.2%
• Male survival rate: ~18.9%
• 1st class survival rate: ~62.9%
• 3rd class survival rate: ~24.2%