Roadmap.md

Road map advanced python project "Inspectair"

week 1 (02/05/24)

• name ✔️
• create readME and roadmap ✔️
• Set up GitHub ✔️
• Import data as dataframe with correct format ✔️
• GUI search bar for pollutants (=> user explores dataset himself/herself) ✔️
• get a basic working world map which can be coloured by coordinates (for world pollution visualization) ✔️
• learn how to clean the data ✔️

End of week 1 reflections (tasks carried forward):

• layout adjustment to dashboard needed
• Dropdown list expansion needed to further filter data

week 2 (16/05/24)

• get the map to work on our data
• get a rough form of the GUI running
• dropdown menu, user selects timeframe (=> data selection, task 2)
• GUI: Ranking of top scoring countries (rough form)
• GUI: Display basic statistics within timeframe as plots (rough form)

week 3 (23/05/24)

• print statistics of countries air quality in graphics (not in the map, but in a different window)
• GUI: Ranking of top scoring countries (final form)
• GUI: Display basic statistics within timeframe as plots (final form)

week 4 (30/05/24)

(- get the map to work on API data?)

• final polish, putting together 'all the pieces'
• presentation

other ideas in case of spare time:

• Obtain simulated air patterns
• Associate high density of certain chemicals to different diseases and maybe link papers to the statistics