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Air quality analysis

Case study

We observed the pollution levels in Lombardia (Italy) from 2006 to 2018. We decided to study 2 different relations:

  • Relation between pollution and weather conditions
  • Relation between pollution and deseases

We made a dashboard using plotly, a powerful Python module. Here is the list of the pollutants we analyzed:

  • PM 10
  • PM 2.5
  • NO2
  • O3
  • SO2
  • CO 8h
  • C6h6

Weather conditions

We checked if different weather conditions affected the pollution levels in Lombardia. Using the dashboard, a user can choose the pollutant and a weather condition between:

  • Humidity
  • Temperature
  • Wind speed
  • Global radiation
  • Precipitation

The dashboard will show the "scatter plot" between the chosen elements.

Deseases

We checked if a specified pollutant affected the number of deaths for a given desease in Lombardia. Using the dashboard, a user can choose the pollutant and a desease. The dashboard will show the scatter plot between that elements.

Other tabs of the dashboard

  • General Tab

Here we displayed a "choropleth map" that clearly shows which province is the most polluted, a "line chart" that shows the pollution trend among the years and a "donut chart" that shows the most prevalent pollutant.

  • Specific Tab

Here we displayed an "interactive choropleth map" that permits the user to click to a specific province and analyze the pollution levels for that province in the specified year. Based on the user's click the dashboard shows also a "spider graph" that highlights the pollutant level among the months of the selected year, a "donut chart" like the one explained above that shows the most prevalent pollutant in the selected year and finally a "box plot" and a "area chart" that show the distribution of the pollutant level and if the pollutant exceeded the legally admitted limits.

Datasets used

We took the datasets about the deseases from ISTAT:

We took the datasets about the weather conditions and the pollution levels from Open Data Lombardia:

Project made by

Carmini Marco - marco.carmini@studenti.unimi.it - @marco-carmini
Cesana Marco - marco.cesana@studenti.unimi.it - @baltornat
Conforto Galli Riccardo - riccardo.confortogalli@studenti.unimi.it - @prometheus404
Intagliata Giacomo - giacomo.intagliata@studenti.unimi.it - @GiacomoInt

Copyright © Università degli Studi di Milano

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Dashboard to visualize pollution data

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