This project analyzes weather data from 2020 to 2025 to identify patterns and trends in temperature, precipitation, wind speed, and weather conditions.
- Analyze temperature trends over time
- Study monthly and yearly weather patterns
- Analyze precipitation and wind speed
- Understand the distribution of weather conditions
- Explore relationships between different weather variables
- Python
- Pandas
- Matplotlib
- Seaborn
The project includes data cleaning, exploratory data analysis (EDA), statistical analysis, and data visualization.
The dataset contains weather observations covering the period from 2020 to 2025.
The analysis includes:
- Temperature trends
- Temperature distribution
- Correlation analysis
- Precipitation analysis
- Wind speed analysis
- Weather condition distribution
- Yearly and monthly comparisons
The dataset contains weather observations from 2020 to 2025.
The main variables include:
date– Date of the weather observationtemp_max– Maximum temperaturetemp_min– Minimum temperatureprecipitation– Precipitation recordedwind_speed– Wind speedweather– Weather conditionweather_code– Numerical code representing the weather condition
The analysis provides an overview of weather patterns and relationships between key weather variables during the period 2020–2025.