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AdeyemoOpeyemi/covid19-nigeria-region-analysis

Domaine:

healthcare
Créateur:
Ade
Hôte:
A class project analyzing COVID-19 death trends in Nigeria using statistical inference and R visualization 🦠 COVID-19 Death Analysis by Region in Nigeria (SAIL Class Task) This project uses **R** to analyze and visualize COVID-19 death data across Nigerian states. The goal was to test if average COVID-19 deaths differ significantly by geopolitical region using **statistical inference (ANOVA)** and to present the findings as a data scientist. This was a class task assigned under the **SAIL Data Science Program** to assess our ability to work with real-world datasets, perform statistical tests, and derive insights using R. --- 📁 Files Included - `covid19_nigeria_states.csv` – COVID-19 dataset by Nigerian states - `covid_analysis.R` – Main R script that maps states to regions, summarizes data, runs ANOVA, and plots results --- 🔧 Tools Used - R - tidyverse - ggplot2 - dplyr - base R (for ANOVA and summary stats) --- 🔍 Key Insights 📍 Each of Nigeria's 36 states and FCT were grouped into 6 geopolitical regions 📊 The average COVID-19 deaths were calculated per region 📈 A one-way ANOVA was performed to test if the average death numbers differ significantly between regions 📉 South West recorded the highest average deaths; South East had the lowest --- 🧪 How to Use 1. Download or clone the repository 2. Open `nigeria_inference_project.Rproj` in RStudio 3. Install required R packages: ```r install.packages(c("tidyverse", "ggplot2", "dplyr")) ``` 📌 Purpose This project was done by Adeyemo Opeyemi as part of a class assignment under the SAIL Data Science Program. It serves as a practical demonstration of statistical reasoning, hypothesis testing, and regional analysis using geolocated state-level data. The exercise combined real-world health data with statistical inference to uncover patterns across Nigeria’s geopolitical zones 📊 Conclusion (As Output from Script) The average number of COVID-19 deaths differs significantly across the regions of Nigeria. This was confirmed by a one-way ANOVA (p-value << 0.05), suggesting that at least one region has a significantly …