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And adapt to link it more closely to real-world applications (e.g. the spatial inequality in the smart city project).
Which datasets will you be using in this Turing Data Story?
Cite the dataset that are going to be used in this story (these of course can change whilst developing the story).
ONS 2011 Census data (output area populations)
Additional context
Add any other context or screenshots about the story here.
Story description
Please provide a high level description of the Turing Data Story
I gave a tech talk with an introduction to genetic algorithms and multi-objective optimisation (though we ran out of time for that so it will be in a part 2). It used this notebook: https://github.com/jack89roberts/NSGA-II/blob/main/NSGA-II.ipynb
Adapt that into two Turing data stories:
And adapt to link it more closely to real-world applications (e.g. the spatial inequality in the smart city project).
Which datasets will you be using in this Turing Data Story?
Cite the dataset that are going to be used in this story (these of course can change whilst developing the story).
ONS 2011 Census data (output area populations)
Additional context
Add any other context or screenshots about the story here.
https://github.com/jack89roberts/NSGA-II/blob/main/NSGA-II.ipynb
Ethical guideline
Ideally a Turing Data Story has these properties and follows the 5 safes framework.
Current status
Updates
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