- Create a roadmap
- Create a README
- Create a members list
- Create a requirement file + install instructions
- Import data from WHO
- Import data from local resources (build if required a small web scraper)
- Create a base to then later be able to work with dash or plotly
- Give user information about the dataset (static output)
- Format dataset correctly (e.g. date format, etc.)
- Allow user to input one or more countries, as well as timespan
- Do said above about the maximum values of pm 10, pm 25 and NO2 in the selected countries
- [-] Do said above interactively, using a map input in dash, or a dropdown menu
- Provide visualisation about the trends of air pollution across cities, countries and measures.
- Make a dashboard out of said visualisation.
- Add a map with the selected countries
- Add a time series plot with the selected countries
- Add a table with the selected countries
- Add a prediction model for air pollution
- Add a physical display of the air quality of one country using a microcontroller, e.g. RP2040 or ESP32, programmed in MicroPython.