Data analysis project with Python:

Air quality in Mardid with Python

Increased air pollution is an inevitable consequence of ever-increasing urbanization and industrialization. In order to improve the air quality, the concentrations of different air pollutants can be measured.

I used a dataset describing the presence of specific air pollutants in the city of Madrid (Spain) and analyzed the general trends using Python (pandas, numpy, seaborn, plotly). The Python code can be viewed here.

One question that can be answered using this data is how pollutant levels vary by month of year. The following interactive graph shows how air particle concentration changes over a year in Madrid

Which parts of Madrid contain more pollutants? The following analysis  shows nitric oxide gas concentrations in different city areas:

Do pollutant gas emissions depend on the ground elevation? This density estimate plot illustrates the correlation between the ground height and the gas concentrations.

Data sources: Air Quality in Madrid (https://www.kaggle.com/datasets/decide-soluciones/air-quality-madrid)). Photo by nuraghies on Freepik