Yunglegend-coder/avian-influenza-analysis

Data analysis of Avian Influenza outbreaks in Nigeria using Python (pandas, matplotlib, seaborn). # 🦠 Avian Influenza Outbreak Analysis in Nigeria ## 📌 Project Overview This project analyzes avian influenza (bird flu) outbreak data across Nigeria to uncover **temporal and spatial patterns**. Using Python and data visualization, it explores **yearly, monthly, and seasonal trends** alongside **state-level comparisons**. --- ## ⚙️ Tools & Libraries - Python 🐍 - pandas (data cleaning & wrangling) - matplotlib & seaborn (visualization) - geopandas (map visualization) --- ## 📂 Dataset - Source: [FAO / OIE datasets] - Key fields used: - `Observation_date` - `Country` - `Year` (extracted) - `Cases` --- ## 📊 Analysis Steps 1. **Data Cleaning** - Converted dates into datetime format - Extracted `Year` and `Month` for trend analysis - Ensured proper data types for grouping 2. **Yearly Trend Analysis** - Grouped outbreaks per year - Plotted line & bar charts showing long-term trends 3. **Monthly/Seasonal Analysis** - Aggregated cases by month across all years - Visualized recurring seasonal patterns - Heatmap of Year vs Month for outbreak seasonality 4. **Country-Level Distribution** - Grouped by `Country` and `Year` - Compared outbreak hotspots across Nigeria --- ## 🔑 Key Insights - Outbreaks **peak during specific months**, confirming seasonal behavior. - Some states are **recurrent hotspots**, reporting more frequent cases. - Outbreak intensity varies significantly **year-to-year**, highlighting the need for **active monitoring**. --- ## Visualizations - Yearly trends - Monthly/seasonal distribution - Heatmap (Year vs Month) - Country-wise cases --- ## How to Run 1. Clone this repo: ```bash git clone github.com Install dependencies: pip install -r requirements.txt Open the notebook: jupyter notebook "Avian influenza analysis.ipynb" 👤 Author Muhammad Abubakar Connect with me on linkedin.com