Logo Lanfrica

AbdurRahmanSalami/nigeria-economic-intelligence-dashboard

Domaine:

socioeconomic

Type de record:

software
Créateur:
Abd
Hôte:
# 🇳🇬 Nigeria Economic Intelligence Dashboard An interactive data science dashboard for exploring Nigeria's macroeconomic performance, historical trends, economic relationships, and inflation forecasts. ## Live Demo 🌐 Launch the Nigeria Economic Intelligence Dashboard ## Project Overview This project combines data collection, data engineering, exploratory analysis, statistical modelling, time-series forecasting, and interactive visualisation in a Streamlit application. Historical Nigerian economic indicators are collected programmatically from the World Bank API, cleaned with Python, combined into a unified dataset, analysed, and presented through an interactive dashboard. ## Features - World Bank API data collection - Automated data-cleaning pipeline - Historical macroeconomic analysis - Interactive indicator charts - Custom year-range filtering - Latest economic indicator cards - Year-over-year changes - Executive economic summary - Correlation analysis - Interactive relationship explorer - Inflation forecasting - Forecast model comparison - 95% forecast confidence intervals - Downloadable datasets ## Economic Indicators The project includes: - Consumer price inflation - Official exchange rate - GDP growth - Unemployment rate - Oil rents (% of GDP) - Foreign reserves - Current account balance ## Data Sources Data is collected using the World Bank API for Nigeria (`NGA`). | Indicator | World Bank Code | |---|---| | Inflation | `FP.CPI.TOTL.ZG` | | Official exchange rate | `PA.NUS.FCRF` | | GDP growth | `NY.GDP.MKTP.KD.ZG` | | Unemployment | `SL.UEM.TOTL.ZS` | | Oil rents | `NY.GDP.PETR.RT.ZS` | | Total reserves | `FI.RES.TOTL.CD` | | Current account balance | `BN.CAB.XOKA.GD.ZS` | ## Data Pipeline World Bank API → Raw JSON → Python Cleaning → Processed CSV → Exploratory Analysis → Forecasting → Streamlit Dashboard Missing historical observations are retained rather than artificially filled. ## Inflation Forecasting The following models were evalua …