Atinukecodes/nigeria-covid19-analysis

COVID-19 analysis for Nigerian states # nigeria-covid19-analysis COVID-19 analysis for Nigerian states # Nigeria COVID-19 Analysis ## Overview This project analyzes COVID-19 data across Nigerian states using data cleaning and Exploratory Data Analysis (EDA). It includes validation, derived metrics (e.g., mortality/recovery rates), visualizations (bar charts, heatmaps, box plots, interactive map), and hypothesis testing to explore regional disparities. ## Dataset - Source: `naija_data.csv` (cumulative cases by state, including confirmed, active, discharged, deaths, lat/long). - Rows: 37 (one per state/FCT). ## Key Insights - Lagos leads with ~101k cases due to population density. - Mortality ~2.3%, recovery ~97%; outliers in low-case states. - No significant north-south mortality difference (p=0.626). ## Visualizations (Interactive map: Open `nigeria_covid_map.html`.) ## Setup and Usage 1. Clone: `git clone github.com` 2. Install: `pip install -r requirements.txt` 3. Run: `jupyter notebook nigeria_covid_eda.ipynb` ## Technologies - Python: Pandas, NumPy, Seaborn, Matplotlib, Folium, SciPy. - Environment: Jupyter Notebook / Google Colab. ## Future Work - Add population data for per-capita rates. - Explore ML predictions. ## License MIT License - Free to use! Author: Atinuke Towoju | Date: 19th September 2025