Romania Weather Analysis

Overview

This project analyzes Romanian weather from 2011 to 2021, leveraging Tableau for data visualization and exploratory data analysis (EDA) to reveal how temperature, wind, and humidity impact seasonal changes and visibility.

Hypotheses Explored

I formulated and tested four main hypotheses to understand the complex interactions within meteorological variables:

Hypothesis 1: Seasonal Variation in Temperature

Figure 1: Heatmap showing seasonal temperature changes throughout the year.

Hypothesis 2: Relationship Between Temperature and Visibility

Figure 2: Scatter plot and line graphs illustrating the correlation between temperature and visibility.

Hypothesis 3: Correlation Between Wind Speed, Precipitation, and Cloud Cover

Figure 3: Line and pie charts depicting the relationship between wind speed, precipitation levels, and cloud cover.

Hypothesis 4: Influence of Meteorological Factors on Specific Weather Conditions

Figure 4: Tree map and geographic maps showing how dew point and relative humidity influence specific weather conditions.

Tools Used

• Tableau: For creating interactive and insightful visualizations.
• Python: For data cleaning and preprocessing using libraries like Pandas and NumPy.

Conclusion

The analysis provided new insights into the effects of various meteorological factors on Romania's weather patterns. These findings are crucial for future planning and adaptation strategies in various sectors affected by weather.

How to Run the Project

To view the visualizations:

1. Ensure Tableau is installed on your machine.
2. Open the provided Tableau workbook files.
3. Explore the interactive dashboards.

For more information or to view the dataset, visit the Kaggle dataset page.