ABk-07/Climate-change-in-Africa-By-ABK

# 🌍 Climate Change in Africa 🌡️📊 ### 📖 Project Overview This project analyzes the Climate Change in Africa dataset (1980–2023), focusing on temperature fluctuations across five African countries: 🇪🇬 Egypt • 🇹🇳 Tunisia • 🇨🇲 Cameroon • 🇸🇳 Senegal • 🇦🇴 Angola We explore temperature trends, distributions, and averages using Python libraries like Pandas, Matplotlib, Seaborn, and Plotly. The goal is to visualize climate patterns and understand how warming has affected different regions. ### 🗂️ Dataset Source: U.S Global Change Research Program Period: 1980–2023 Variables: 📅 Date 🌡️ Min Temperature 🌡️ Max Temperature 🌡️ Average Temperature 🌍 Country ### 🛠️ Tools & Libraries 🐍 Python 3.12 📦 Pandas → Data cleaning & manipulation 🎨 Matplotlib → Line charts & histograms 🌈 Seaborn → Stylish plots 📊 Plotly → Interactive visualizations ### 📌 Tasks & Visualizations **1️⃣ Line Chart: Tunisia vs Cameroon** 📈 Compare average temperature fluctuations between Tunisia 🇹🇳 and Cameroon 🇨🇲. Shows long-term warming trends. Highlights differences between Mediterranean vs tropical climates. **2️⃣ Zoomed Line Chart (1980–2005)** 🔍 Focus on early years to see initial warming signals. Customized axis labels for clarity. **3️⃣ Histograms: Senegal 🇸🇳** 📊 Compare temperature distributions: 1980–2000 (blue 🟦) 2000–2023 (red 🟥) ➡️ Reveals how Senegal’s climate shifted toward higher averages after 2000. **4️⃣ Bar Chart: Average Temperature per Country** 🌍 Compare mean temperatures across Egypt, Tunisia, Cameroon, Senegal, and Angola. Clear country-level comparison. Best chart for summarizing averages. **5️⃣ Extra Question 💡** 👉 Which country warmed the fastest? Line chart of yearly averages shows slope differences. Steeper slope = faster warming trend.