Fathiat05/AnalystLab-Africa-7

# Weather Data Analysis Using OpenWeather API ## Project Overview This project retrieves real-time weather data for selected Nigerian cities using the OpenWeather API. The data is processed with Python, converted into a Pandas DataFrame, exported as a CSV file, and analyzed to identify weather patterns. ## Objectives - Retrieve weather data from the OpenWeather API. - Store the data in a Pandas DataFrame. - Export the data to a CSV file. - Perform basic weather analysis. ## Technologies Used - Python - Pandas - Requests - OpenWeather API - Jupyter Notebook ## Cities Analyzed - Lagos - Abuja - Kano - Port Harcourt - Ibadan ## Data Collected The dataset includes: - City - Temperature (°C) - Humidity (%) - Weather Condition - Wind Speed (m/s) - Date & Time ## Basic Analysis The project includes: - Temperature comparison across cities. - Identification of the city with the highest humidity. - Comparison of weather conditions. - Comparison of wind speed across cities. - Calculation of the average temperature. ## Output - Weather dataset exported as `weather_data.csv` - Basic analysis and insights displayed in the Jupyter Notebook. ## Author Fathiat Sulaimon