Global Weather

• Tech Stack: Python, Pandas, Matplotlib, and Scipy
• URL: Project Link

In this project, I utilized weather data from the capitals of all countries worldwide, collected from August 29, 2023, to September 24, 2023. The data was sourced from Kaggle. The visualized data includes:

• Temperature
• Weather Conditions
• Wind Speed
• Air Pressure
• Precipitation
• Humidity
• UV Index
• Air Quality

Additionally, I analyzed the correlations between several data points:

• Temperature and Air Pressure
• Temperature and UV Index
• Temperature and Precipitation
• UV Index and Humidity
• Temperature and Carbon Monoxide levels