This project analyzes inflation dynamics for China, United States, United Kingdom, Germany, and Japan from 2005 to 2025 using IMF CPI data. It builds a PostgreSQL database, calculates key inflation features (MoM %, YoY %, 3-Month Moving Average, 12-Month Volatility), and visualizes the trends using Python.
/data/— Cleaned inflation data (inflation_clean.csv)/sql/— SQL scripts for database creation and inflation feature engineering/inflation_analysis/— Python code for fetching, analyzing, and plotting/charts/— Automatically generated inflation analysis chartsREADME.md— Project documentation
- Year-over-Year Inflation (%) comparison
- Month-over-Month Inflation Momentum
- Inflation vs 3-Month Moving Average
- 12-Month Rolling Volatility of Inflation Rates
- PostgreSQL
- Python: pandas, matplotlib, seaborn, psycopg2
- Data Source: IMF CPI Database
JO
✅ This project is ideal for hedge fund macro research, investment analyst applications, and data science portfolios.