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DiiJay-T/Nigerian-Macroeconomic-Pipeline

Domain:

socioeconomic

Record type:

software
Creator:
Dii
Host:
An automated Python data engineering and econometric pipeline evaluating currency devaluation velocity and consumer price index (CPI) dynamics in Nigeria (2000–2024). # Nigerian Macroeconomic Pipeline: Currency Devaluation & Inflation Dynamics An empirical data engineering and econometric pipeline built to evaluate the quantitative relationship between national currency value (USD/NGN) and consumer price indexes (CPI) within Nigeria over a 24-year timeline (2000–2024). This repository serves as a portfolio project showcasing the practical intersection of **Computer Science (Data Pipeline Engineering)** and **Quantitative Economics (Time-Series Analytics)**, mapping directly to interdisciplinary frameworks like MIT's Course 6-14. ## 📊 Project Architecture ## ⚙️ ## ⚙️ Core Technical Features - **Automated Data Ingestion:** Programmatic API calling utilizing the `wbgapi` wrapper to extract multi-decade structural metrics from World Bank global servers directly into a computing dataframe. - **Data Engineering Matrix:** Transposed dimensional layouts, converted automated index string formats into numerical date signatures, and executed linear interpolation workflows (`df.interpolate()`) to handle data sparsity. - **Statistical Analytics:** Pearson correlation calculations mapping the velocity of currency devaluation directly against shifts in domestic consumer price inflation. - **Predictive Modeling:** Multi-variable Linear Regression training via `scikit-learn` to isolate predictive indicators and quantify lag metrics within currency transmission mechanisms. - **Dual-Axis Visualizations:** High-density time-series charts generated through `matplotlib` and `seaborn` plotting the long-term convergence of exchange rates and macroeconomic trends. ## 🛠️ Tech Stack & Dependencies - **Languages:** Python 3 - **Environment:** Jupyter Notebook / Google Colab - **Libraries:** `pandas`, `numpy`, `wbgapi`, `matplotlib`, `seaborn`, `scikit-learn`, `scipy` ## 📈 Analytical Observations & Hypotheses The pipeline evaluates how closely the Nigerian consumer market tracks the **Purchasing Power Parity (PPP)** economic theory. Initial output ind …

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